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7,200 | Please write an abstract with title: High Gain Antenna Based on Odd-Even Mode Composite Waveguide, and key words: Microwave antennas, Microwave integrated circuits, Slot antennas, Surface plasmon polaritons, Surface waves, Transmitting antennas, Microwave communication. Abstract: A novel high gain antenna based on odd-even mode composite waveguide is proposed in this paper, which is constructed by hybrid substrate integrated waveguide (SIW) and spoof surface plasmon polariton (SSPP). Grating grooves are etched on the top surface of SIW and gradient vivaldi-shaped flaring structure. Two different feeding methods are adopted, therefore, the even mode and odd mode of SSPP radiate simultaneously on the same frequency band. The transmission characteristics and E-field distributions of the high gain antenna are given and analyzed. Moreover, high gain feature is achieved in proposed antenna due to different slow wave effects caused by the introduced asymmetric grating slots. |
7,201 | Please write an abstract with title: Assessing lead-free barium zirconate titanate-barium calcium titanate thin films ferroelectric properties in planar configuration, and key words: Performance evaluation, Industries, Barium, Calcium, Morphology, Microelectromechanical devices, Production. Abstract: This work reports about the production and characterization of Barium Zirconate Titanate-Barium Calcium Titanate (BZT-BCT) ferroelectric-piezoelectric thin films proposed as an alternative to toxic lead zirconate titanate (commonly referred as PZT), widely used in micro-electro-mechanical devices. A highly stable and homogeneous solution, produced thanks to a thorough reagents dehydration, has been deposited on commercial platinum-coated wafers, thus obtaining perovskites thin layers with homogeneous morphology and improved electrical stability with outstanding electrical performances in planar configuration. |
7,202 | Please write an abstract with title: Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization, and key words: Training, Deep learning, Bridges, Computer vision, Three-dimensional displays, Conferences, Pose estimation. Abstract: Since the introduction of modern deep learning methods for object pose estimation, test accuracy and efficiency has increased significantly. For training, however, large amounts of annotated training data are required for good performance. While the use of synthetic training data prevents the need for manual annotation, there is currently a large performance gap between methods trained on real and synthetic data. This paper introduces a new method, which bridges this gap.Most methods trained on synthetic data use 2D images, as domain randomization in 2D is more developed. To obtain precise poses, many of these methods perform a final refinement using 3D data. Our method integrates the 3D data into the network to increase the accuracy of the pose estimation. To allow for domain randomization in 3D, a sensor-based data augmentation has been developed. Additionally, we introduce the SparseEdge feature, which uses a wider search space during point cloud propagation to avoid relying on specific features without increasing run-time.Experiments on three large pose estimation benchmarks show that the presented method outperforms previous methods trained on synthetic data and achieves comparable results to existing methods trained on real data. |
7,203 | Please write an abstract with title: Analysis of a Spin-Torque Oscillator Using Injection Locking to an External Microwave Field, and key words: Injection-locked oscillators, Magnetization, Conferences, Microwave-assisted magnetic recording, Microwave theory and techniques, Magnetic heads, Microwave oscillators. Abstract: A spin-torque oscillator (STO) is a key device in microwave-assisted magnetic recording (MAMR). Conventionally, the magnetization dynamics of STOs has been analyzed using the high-frequency electrical signal from the STO (STO signal). However, the STO signal is sometimes undetectable because of the highly symmetric magnetization trajectory or contains several frequency components that do not correspond to the frequency of the actual magnetization oscillation [1] . Furthermore, when the STO is integrated into the write head, the STO signal is expected to attenuate heavily in the write head, making it difficult to extract the STO signal. These facts prevent identifying the oscillation frequency from the STO signal, and a new analysis method of the STO that does not rely on the STO signal is required. |
7,204 | Please write an abstract with title: Learning the Image Prior by Unrolling an Optimization Method, and key words: Neural networks, Optimization methods, Stochastic processes, Training data, Europe, Signal processing, Minimization. Abstract: Nowadays neural networks are omnipresent thanks to the amazing adaptability they possess, despite their poor interpretability and the difficulties they give when manipulating the parameters. On the other side, we have the classical variational approach, where the restoration is obtained as the solution of a given optimization problem. The bilevel approach is connected to both approaches and consists first in devising a parametric formulation of the variational problem, then in optimizing these parameters with respect to a given dataset of training data. In this work we analyze the classical bilevel approach in combination with unrolling techniques, where the parameters of the variational problem are trained with respect to the results obtained after a fixed number of iterations of an optimization method applied to it. This results in a large scale optimization problem which can be solved by means of stochastic methods; as we observed in our numerical experiments, the stochastic approach can produce medium accuracy results in very few epochs. Moreover, our experiments also show that the unrolling approach leads to results which are comparable with those of the original bilevel method in terms of accuracy. |
7,205 | Please write an abstract with title: Medial axis registration of supine and prone CT colonography data, and key words: Colonography, Colon, Computed tomography, Colonic polyps, Minimally invasive surgery, Change detection algorithms, Radiology, Biomedical imaging, Virtual environment, Geometry. Abstract: Computed Tomographic Colonography (CTC) is a minimally invasive method that allows the examination of the colon wall from the source CT sections or in a virtual environment. The primary goal of CTC is the detection of colonic polyps. There are typically two data sets recorded in supine and prone positions. An important step in polyp detection is the anatomical registration of these datasets. We developed and experimentally validated a method to register complementary supine and prone CTC datasets anatomically, using linear stretching/shrinking operations on the media axis colonic path based on the relative path geometries. To compare improvement in spatial registration of supine and prone datasets, a radiologist determined 5 unique reference points (RP) in the registered and unregistered datasets from each of 5 patients by viewing supine and prone data simultaneously. Initial results suggest that our algorithm is capable of registering supine and prone CTC data anatomically within an approximate range of /spl plusmn/13.2 mm, which corresponds to 0.8% error with respect to the average colon length. |
7,206 | Please write an abstract with title: Scene-aware Sound Rendering in Virtual and Real Worlds, and key words: Rendering (computer graphics), Acoustics, Visualization, Geometry, Acoustic measurements, Solid modeling. Abstract: Modern computer graphics applications including virtual reality (VR) and augmented reality (AR) have adopted techniques for both visual rendering and audio rendering. While visual rendering can already synthesize virtual objects into the real world seamlessly, it remains difficult to correctly blend virtual sound with real-world sound using state-of-the-art audio rendering. When the virtual sound is generated unaware of the scene, the corresponding application becomes less immersive, especially for AR. In this position paper, we present our current work on generating scene-aware sound using ray-tracing based simulation combined with deep learning and optimization. |
7,207 | Please write an abstract with title: Risk-aware Trajectory Planning in Urban Environments with Safe Emergency Landing Guarantee, and key words: Trajectory planning, Conferences, Urban areas, Sociology, Computer crashes, Trajectory, Planning. Abstract: In-flight aircraft failures are never avoidable entirely, inducing a significant risk to people and properties on the ground in an urban environment. Existing risk-aware trajectory planning approaches minimize the risk by determining trajectories that might result in less damage in the case of failure. However, the risk of the loss of thrust can be eliminated by executing a safe emergency landing if a landing site is reachable. Therefore, we propose a novel risk-aware trajectory planning that minimizes the risk to people on the ground while an option of a safe emergency landing in the case of loss of thrust is guaranteed. The proposed method has been empirically evaluated on a realistic urban scenario. Based on the reported results, an improvement in the risk reduction is achieved compared to the shortest and risk-aware only trajectory. The proposed risk-aware planning with safe emergency landing seems to be suitable trajectory planning for urban air mobility. |
7,208 | Please write an abstract with title: Unified Performance Evaluation Method for Perceptual Image Hashing, and key words: Feature extraction, Robustness, Transforms, Security, Dimensionality reduction, Principal component analysis, Image coding. Abstract: In recent decades, a large number of perceptual image hashing schemes have been designed to secure the authenticity and integrity of digital images. However, the feasible criterion to evaluate the performances of hashing schemes has not been developed yet. To this end, a unified performance evaluation method for perceptual image hashing schemes is proposed in this paper. The proposed evaluation method contains six modules: robustness, discrimination, tampering detection, security, computational efficiency and hash length. The order relationship analysis (ORA) is employed to assign the score proportion of each module in accordance with the relative importance of performance, which allows the customizability of user. The real scores of modules and the outputted final score can reflect the performances of perceptual image hashing schemes intuitively and convincingly. Experimental results demonstrate that the proposed evaluation method is practical and effective for the complete and comprehensive evaluation of perceptual image hashing schemes. |
7,209 | Please write an abstract with title: OCC Based Indoor Positioning System Using a Smartphone Camera, and key words: Location awareness, Three-dimensional displays, Image coding, Robot vision systems, Fixtures, Estimation, Receivers. Abstract: We propose a camera-based positioning system using visible light sources as beacons and a smartphone camera as the receiver, taking advantage of the rolling shutter effect. The sources are modulated using On-Off Keying (OOK) and Manchester encoding, transmitting an unique identifier (ID). An image processing algorithm is proposed for the ID decoding and the fixture localization. For the position estimation, an arbitrary orientation of the receiver on the 3D coordinate space is considered. The system was validated using a setup 1m long, 1m wide and with 2.7m high, containing four light fixtures, and yielding an average position error of 7.4 cm. |
7,210 | Please write an abstract with title: Frequency Synchronization and SoC Balancing Control in AC Microgrids, and key words: Inverters, Microgrids, Convergence, Synchronization, Frequency control, Time-frequency analysis, Rats. Abstract: This paper develops a distributed improved finite-time Control algorithm for multi-agent based ac microgrids with battery energy storage systems (BESSs) utilizing a low-width communication network. The proposed control algorithm can simultaneously coordinate BESSs to restore the frequency as well as solving state of charge (SoC) balancing problem. An accelerated convergence can be achieved within a settling time that is irrelevant to initial conditions. Then, the stability of the proposed control algorithm is established using Lyapunov method and homogeneous approximation theory. Further, to significantly reduce the number of communication, an event-triggered mechanism that enable each agent to update its input is provided. It is proved that under the proposed event-triggered consensus control strategy. Finally, we apply the theoretical results to a test system in several case studies with MATLAB/SIMULINK. The results of the theoretical analysis and simulation verify the effectiveness of the proposed strategy. |
7,211 | Please write an abstract with title: Heterogeneous Integration Roadmap (HIR) Workshop, and key words: Thermomechanical processes, Electronic packaging thermal management, Computational modeling. Abstract: Presents the conference program. |
7,212 | Please write an abstract with title: Innovation Strategies to Counter Client-Led Business Disruption, and key words: Economics, Technological innovation, Philosophical considerations, Gears, Biological system modeling, Companies, Big Data. Abstract: The availability of big data, supported by advanced technologies, has given rise to a more informed and empowered global consumer, resulting in extreme pressure on organisations to continuously find new innovative ways to serve these clients. When operating under tough economic conditions companies tend to challenge the timing of innovative initiatives. The truth is that they simply have no choice. Clients now have more information and more choices than ever and an ever-growing list of demands and expectations. Simultaneously, there is increased competition for the same share of wallet. They must rise to the challenge, gear up for the battle and understand that they need to innovate and operate differently to survive. Qualitative research was conducted to assess the impact of client-led business disruption on a diverse and decentralised international logistics solutions organisation. This article will detail the proposed strategies that were derived from the business experience of the authors, to not only counter the threats of the client-led disruption, but also to embrace the opportunities that this will create for the organisation. |
7,213 | Please write an abstract with title: Dynamic Facial Emotion Recognition Using Deep Spatial Feature and Handcrafted Spatiotemporal Feature on Spark, and key words: Feature extraction, Emotion recognition, Sparks, Spatiotemporal phenomena, Videos, Face recognition, Multilayer perceptrons. Abstract: One important challenge of dynamic facial emotion recognition is to effectively obtain the spatial and dynamic change of face structure from videos. Besides, there is an increasing demand for distributed computing of videos, as a result of the speedy production of videos from numerous multimedia sources. To address the above issues, in this work, we propose a novel method for dynamic facial emotion recognition on top of Spark. Furthermore, we introduce an effective dynamic feature descriptor namely, Volume Symmetric Local Graph Structure (VSLGS), which extracts the spatiotemporal features. We also utilize the convolutional neural network (CNN) to obtain deep spatial features. Lastly, these obtained features are concatenated and fed to Spark MLlib Multilayer Perceptron (MLP) classifier to recognize the dynamic facial emotions. An extensive experimental investigation is performed to prove the effectiveness of our method over state-of-the-art methods. Furthermore, we also showed the scalability of the proposed method experimentally. |
7,214 | Please write an abstract with title: Remembrance of data passed: a study of disk sanitization practices, and key words: Disk drives, Retirement, Costs, Market research, Marine vehicles, Forensics, File servers, Databases, Information security, Acquired immune deficiency syndrome. Abstract: Many discarded hard drives contain information that is both confidential and recoverable, as the authors' own experiment shows. The availability of this information is little publicized, but awareness of it will surely spread. |
7,215 | Please write an abstract with title: A Polynomial Time Evolution Algorithm for the Traveling Salesman Problem, and key words: Polynomials, Traveling salesman problems, Cities and towns, Organisms, Iterative algorithms, Genetic mutations, Genetic algorithms, Heuristic algorithms, Sorting, Clocks. Abstract: A genetic algorithm simulating evolution is proposed to yield near optional solution to the traveling salesman problem. Noting that Darwinian evolution is itself optimization process, we propose a heuristic algorithm that incorporates the tents of natural selection. The time complexity of this algorithm is equivalent to the fastest sorting scheme. The algorithm is used to solve the China - traveling salesman problem, the shortest route is obtained in this paper |
7,216 | Please write an abstract with title: T-SVD Based Broadband Non-Synchronous Measurements, and key words: Tensors, Array signal processing, Service robots, Signal processing algorithms, Microphone arrays, Broadband communication, Frequency measurement. Abstract: It is a challenge for the state-of-the-art non-synchronous measurements beamforming method to localize multiple broa-dband sources due to the difficulty in selecting an appropriate operating frequency without any prior information about the target signals. In this paper, we propose a tensor singular value decomposition based non-synchronous measurements method for broadband multiple sound source localization. By adopting the proposed method, the working frequency range of the microphone array is no longer limited by the array geometry. While the proposed tensor completion approach via alternating direction method of multipliers algorithm could provide a sound map with distinct global view of three different speech signal sources with high accuracy in both simulation and experimental validations. |
7,217 | Please write an abstract with title: FiFTy: Large-Scale File Fragment Type Identification Using Convolutional Neural Networks, and key words: Feature extraction, Entropy, Transform coding, Tools, Artificial neural networks, Complexity theory, Computer architecture. Abstract: We present FiFTy, a modern file-type identification tool for memory forensics and data carving. In contrast to previous approaches based on hand-crafted features, we design a compact neural network architecture, which uses a trainable embedding space. Our approach dispenses with the explicit feature extraction which has been a bottleneck in legacy systems. We evaluate the proposed method on a novel dataset with 75 filetypes - the most diverse and balanced dataset reported to date. FiFTy consistently outperforms all baselines in terms of speed, accuracy and individual misclassification rates. We achieved an average accuracy of 77.5% with processing speed of ≈38 sec/GB, which is better and more than an order of magnitude faster than the previous state-of-the-art tool - Sceadan (69% at 9 min/GB). Our tool and the corresponding dataset is open-source. |
7,218 | Please write an abstract with title: An IOT Driven Eyeball And Gesture-Controlled Smart Wheelchair System for Disabled Person, and key words: Performance evaluation, Webcams, Tracking, Microcontrollers, Wheelchairs, Prototypes, Process control. Abstract: The area of smart homes has evolved with goal of restoring the capacity of physically disabled people, aged, and others with limited mobility to accomplish critical every day activities by giving sufficient help via current technology devices. One of most difficult aspects of smart wheelchair's design is assuring that it functions appropriately and effectively. Smart wheelchairs make it easier for challenged people to travel indoor areas and perform daily activities on their own. In this device, manual wheelchair operation is substituted by automatic wheelchair control, which is operated by eyeball movement, allowing patients to feel freer and with less or no trouble in their movements. To determine position of eye pupil, a continuous image is acquired with assistance of a camera, which will then be subjected to numerous image processing techniques. The Gesture Functions are incorporated as well, allowing the user to use gestures for basic specifications/commands, allowing this wheelchair to be used for a variety of applications. |
7,219 | Please write an abstract with title: Drift analysis and stabilization of a Fiber Bragg Grating interrogation device, and key words: Temperature measurement, Temperature sensors, Wavelength measurement, Optical fiber sensors, Fiber gratings, Pressure measurement, Fluctuations. Abstract: This paper analyzes wavelength drifts of a Fiber Bragg Grating interrogation device due to variations in different environmental conditions. First, the thermal induced wavelength shifts of the Fiber Bragg Gratings were abstracted. Then, it was possible to investigate the correlations between wavelength drifts and A) temperature of the interrogation device, B) air pressure, and C) static inclination of the interrogation device. Out of these three factors, unsteady temperature of the interrogation device proved to be the main reason for wavelength drift in our setup. Variations in air pressure were the second most important factor, whereas the static inclination of the interrogation device showed the least but still considerable effect on wavelength drifts. A temperature stabilization of the device housing temperature is introduced and a software-based offsetting of the air pressure is discussed. |
7,220 | Please write an abstract with title: Synonymous address compaction for energy reduction in data TLB, and key words: Compaction, Permission, Computer aided manufacturing, CADCAM, Data engineering, Power engineering and energy, Educational institutions, Cache memory, High performance computing, Embedded computing. Abstract: Modern processors can issue and execute multiple instructions per cycle, often performing multiple memory operations simultaneously. To reduce stalls due to resource conflicts, most processors employ multi-ported L1 caches and TLBs to enable concurrent memory accesses. In this paper, the authors observed that data TLB lookups within a cycle and across consecutive cycles are often synonymous - they go to the same page. To exploit this finding, two new mechanisms were proposed - intra-cycle compaction and inter-cycle compaction of address translation requests in order to save energy in the data TLB. The results showed that average energy savings of 27% using intra-cycle, 42% using inter-cycle in a conventional d-TLB, and 56% using inter-cycle compaction in semantic-aware d-TLBs can be achieved. When these 2 compaction techniques are combined together and applied to both the i-TLB and semantic-aware d-TLBs, an average energy savings of 76% (up to 87%) is obtained. |
7,221 | Please write an abstract with title: Design and comparison of various voltage control systems for distributed generators in electrical networks, and key words: Voltage control, Distributed power generation, Intelligent networks, Filters, Power generation, Pulse width modulation, Capacitors, Pulse width modulation inverters, Control systems, Production systems. Abstract: The supply of ancillary services is now a new challenge to boost the development of distributed generators (DG). So far, a local DG may participate to the local voltage control. In this case the output voltage of the DG is required to be sinusoidal with minimum total harmonic distortion at the connection bus. The use of a second order filter enables this task and enables also the design of a precise control system of the capacitor voltage. So this paper investigates the suitability of various control strategies for a three-phase voltage-source inverter with a second-order filter. The general control scheme incorporates a capacitor voltage control, a fixed switching frequency, and a variable duty cycle modulation to produce sinusoidal output voltage with minimum harmonic distortion. Various control systems are presented. Their principle of operation and performances are compared. |
7,222 | Please write an abstract with title: Japanese vowel recognition using external structure of speech, and key words: Speech recognition, Acoustic distortion, Microphones, Auditory system, Mathematical model, Cepstrum, Smoothing methods, Hidden Markov models, Filtering, White noise. Abstract: Speech acoustics is inevitably distorted by non-linguistic features such as vocal tract length, gender, age, microphone, room, line, hearing characteristics, and so on. Recently, a novel acoustic representation of speech was proposed, called the acoustic universal structure [1, 2]. It discards all the absolute properties of speech events and captures only their interrelations or contrasts to represent external structure of speech. Based on a mathematical model of the non-linguistic distortions, the new representation can remove the inevitable distortions as cepstrum smoothing can remove pitch information from speech. Recognition experiments using the external structure were conducted and it was shown that the proposed structure models trained from a single speaker with no normalization can outperform the conventional speaker-independent HMMs with CMN and SS. It was also found that lowpass filtering and white noise addition as preprocessing improved the performance because they can suppress the distortions rather well |
7,223 | Please write an abstract with title: The Feasibility of Measuring Lung Hyperinflation With a Smart Shirt: An in Vitro Study, and key words: Temperature measurement, Temperature sensors, Lung, Intelligent sensors, Monitoring, DH-HEMTs. Abstract: Home monitoring of patients with chronic obstructive pulmonary disease can increase quality of life and decrease health care costs. Despite the existence of an important relationship between lung hyperinflation (LH) and patient outcomes, LH is often ignored in home monitoring as it difficult to assess at home. A smart shirt containing respiratory inductance plethysmography (RIP, which measures thoracic and abdominal cross-sectional area changes) is a promising tool for home monitoring of LH. This study investigates the feasibility of a smart shirt to monitor LH. We aimed to describe the relationship between temperature and the output, and between the circumference and output of the smart shirt and to correct for temperature dependency. To do so, the smart shirt was applied to a custom-made torso model. Ambient temperature was increased and decreased in 15 tests, while maintaining a constant torso circumference to derive a temperature correction. Additionally, sensor output was monitored with varying circumference. The results revealed a linear relation between temperature and RIP output. Nine of the twelve shirts showed a linear output to changes in circumference. A median temperature drift of -34.7 mL/°C was observed and corrected to a minimum drift of -0.5 mL/°C. In conclusion, RIP is a promising method for measuring LH in home monitoring. Patients will not be falsely diagnosed with LH due to temperature changes. Sensor output can easily be corrected for temperature. Furthermore, the relationship between circumference and output is linear, confirming the ease of implementing the calibration procedure for obtaining lung volumes. |
7,224 | Please write an abstract with title: Accuracy Enhancement During Sentiment Analysis in Twitter Using CNN, and key words: Training, Sentiment analysis, Visualization, Social networking (online), Blogs, Neural networks, Market research. Abstract: In order to determine user sentiment, researchers are utilizing sentiment analysis on a Twitter data set that includes both graphical and textual user comments. The world is fast changing as a result of contemporary technological breakthroughs. In today's world, the Internet has become a need for everyone. People are using social network applications to voice their opinions on common issues because of the rapid rise of these platforms. Obtaining and analyzing people's answers to purchasing a product, utilizing public services, and so on is essential. Opinion mining (also known as sentiment analysis) is a common practice for getting ready for a discussion in which the sentiments that underlie various points of view are sought to be discovered. Recent years have seen the rise of sentiment analysis as a tool for determining how consumers are feeling. Textual and graphical tweets posted by users are the primary focus of current study. CNN-based technique is used for graphical content; neural networks are used for textual content. An increasing amount of attention has been paid in recent years to “tweets” (comments) and the content of these expressions in opinion research utilizing Twitter data. Because of this, the goal of this research is to find out how various sentiment analyses on Twitter data turn out. The suggested research uses a neural network machine learning method to detect feelings based on graphical input. |
7,225 | Please write an abstract with title: Matched Manifold Detection for Group-Invariant Registration and Classification of Images, and key words: Manifolds, Radiometry, Space vehicles, Orbits, Covariance matrices, Strain, Noise measurement. Abstract: Consider the set of possible observations turned out by geometric and radiometric transformations of an object. This set is generally a manifold in the ambient space of observations. It has been shown [1] that in those cases where the geometric deformations are affine and the radiometric deformations are monotonic, the radiometry invariant universal manifold embedding (RIUME) provides a mapping from the orbit of deformed observations to a single low dimensional linear subspace of Euclidean space. This linear subspace is invariant to the geometric and radiometric transformations and hence is a representative of the orbit. It thus naturally serves as an invariant statistic for solving problems of joint transformation estimation and detection or classification. In the unsupervised detection problem, subspaces evaluated from two observations are tested for the similarity of the observed object and their relative transformation is estimated from the RIUME matrix representation. In the classification set-up the RIUME subspace extracted from an experimental observation is tested against a set of subspaces representing the different object manifolds, in search for the nearest class. We show how to extract a set of mutually orthogonal subspaces, where each subspace represents a different object manifold. In the presence of observation noise, the observations do not lie strictly on the manifold and the resulting RIUME subspaces are noisy. We derive a method for estimating the mean subspace representation of a manifold of deformed observations. To optimize the performance of the matched manifold detector in the presence of observation noise, an analytic solution for choosing the RIUME nonlinear operators is derived, achieving the effect of simultaneous denoising of the object manifolds. The invariant representation of the object is the basis of a matched manifold detection and tracking framework for objects that undergo complex geometric and radiometric deformations. The experimental results on natural scenes demonstrate the generality and applicability of the RIUME framework for classification, detection, and dense registration. |
7,226 | Please write an abstract with title: Introduction of covariance components in slip inversion of geodetic data following a non-uniform spatial distribution and application to slip deficit rate estimation in the Nankai Trough subduction zone, and key words: Space geodetic surveys, Inverse theory, Kinematics of crustal and mantle deformation. Abstract: Inappropriate mathematical treatment of prediction errors associated with inaccurate forward modelling in an inversion scheme may result in significant unnatural short-wavelength components in the estimated slip distribution, which is a typical consequence of overfitting data. When geodetic data in observation stations following a non-uniform spatial distribution are used in a geodetic slip inversion, the spatial non-uniformity of the observation can possibly influence the distribution pattern of the short-wavelength components significantly, which may be confused with slip patterns that are geophysically meaningful. Such situations often occur when land and seafloor geodetic data are used in combination in slip inversions. To avoid overfitting, this study proposes a method that incorporates covariance components in the covariance matrix of the misfit vector, which originate from prediction errors. Because the proposed method retains the linearity of the inversion problem, widely known approaches that introduce prior constraints to a linear inversion problem are easily combined with the proposed method. This study demonstrates a combination of the newly introduced covariance components with a prior constraint on the smoothness of slip distribution, constructing a Bayesian model with unknown hyperparameters, which are objectively determined by minimizing Akaike's Bayesian information criterion. In the synthetic tests, the proposed method estimated slip deficit rate (SDR) distributions that are closer to the true one, avoiding overfitting the geodetic data with spatial non-uniformity. By contrast, a conventional approach, which does not introduce covariance components, estimates unnaturally rough SDR distributions using the same synthetic data. The proposed method was applied to the estimation of SDR in the Nankai Trough subduction zone, using geodetic data of displacement rates provided by land GNSS stations and seafloor GNSS-Acoustic stations. This method estimates a reasonably smooth distribution of SDR, avoiding overfitting. The spatial distribution of residuals of the displacement rates suggests that the proposed method avoids overfitting some portions of the observed displacement rates that the forward model set for the analyses could not fundamentally explain. |
7,227 | Please write an abstract with title: On the solution of the XOR problem using the decision tree-based neural network, and key words: Decision trees, Neural networks, Classification tree analysis, Artificial neural networks, Machine learning, Network topology, Neurons, Computer science, Partial response channels, Electronic mail. Abstract: The decision tree-based neural network is introduced to combine neural networks with decision trees. Its key idea is using decision trees to form the structure of the neural network: to construct a decision tree and then convert the tree into a neural network. The decision tree and neural network for classification are similar and have equivalent property. Thereby a decision tree can be used to provide a systematic design method of neural network. We propose a new mapping between decision tree and neural network that can accurately specify the number of units, layers, connection and initial setting of parameters of neural network. Furthermore, we quote two theorems to show that the mapping is reasonable. In this paper, we use the decision tree-based neural network to solve the XOR problem. |
7,228 | Please write an abstract with title: A solution to problem of compatible single-sideband transmission, and key words: Bandwidth, Signal processing, Envelope detectors, Telephony, Laboratories, Iterative methods, Distortion, Transmitters, Fourier transforms. Abstract: The problem of compatible single sideband transmission is given a precise mathematical formulation. The problem is then recognized as a combination of two problems, each of which has previously been solved. Iterative methods are required for the solution of the second problem. Examples are given illustrating one of two iteration schemes. |
7,229 | Please write an abstract with title: Surface differentiation and position estimation by parametric modeling of signals obtained with infrared sensors, and key words: Parametric statistics, Infrared sensors, Virtual colonoscopy, Infrared detectors, Packaging, Azimuth. Abstract: In this study, low-cost infrared emitters and detectors are used for the recognition of surfaces with different properties in a location-invariant manner. The intensity readings obtained with such sensors are highly dependent on the location and properties of the surface in a way that cannot be represented analytically in a simple manner, complicating the differentiation and localization process. Our approach, which models infrared angular intensity scans parametrically, can distinguish different surfaces independently of their positions. Once the surface type is identified, its position can also be estimated. The method is verified experimentally with wood, styrofoam packaging material, white painted wall, white and black clothes, and white, brown, and violet papers. A correct differentiation rate of 73% is achieved over eight surfaces and the surfaces are localized within absolute range and azimuth errors of 0.8 cm and 1.1/spl deg/, respectively. The differentiation rate improves to 86% over seven surfaces and 100% over six surfaces. The method demonstrated shows that simple infrared sensors, when coupled with appropriate processing, can be used to extract a significantly greater amount of information than they are commonly employed for. |
7,230 | Please write an abstract with title: Routing and wavelength assignment with multigranularity traffic in optical networks, and key words: Wavelength routing, Wavelength assignment, Telecommunication traffic, Optical fiber networks, Communication system traffic control, Multiprotocol label switching, Size control, Costs, Scalability, Heuristic algorithms. Abstract: We propose a novel switching architecture of multigranularity optical cross-connects (MG-OXCs) for dealing with multigranularity traffic in the optical domain. MG-OXCs can cooperate with the generalized multiprotocol label switching (MPLS) control plane, which provides the advantages of cost reduction, better scalability in physical size, and unified traffic management. Detailed discussions are provided on the characteristics and implementation issues for the switching architecture. Based on the proposed MG-OXCs, two routing and wavelength assignment (RWA) with tunnel allocation algorithms are presented: dynamic tunnel allocation (DTA) and capacity-balanced static tunnel allocation (CB-STA). In the former, we use fixed alternate routing with k-shortest paths to inspect network resources along each alternate path for dynamically setting up lightpaths. For the latter, fiber and waveband tunnels are allocated into networks at the planning stage (or off-line) according to weighted network link-state (W-NLS). We will show that with the proposed algorithms, the RWA problem with tunnel allocation in the optical networks containing MG-OXCs can be solved effectively. Simulation is conducted on networks with different percentages of switching capacity and traffic load. The simulation results show that DTA is outperformed by CB-STA in the same network environment due to a well-disciplined approach for allocating tunnels with CB-STA.. We also find that the mix of the two approaches yields the best performance given the same network environment apparatus. |
7,231 | Please write an abstract with title: Demonstration of FinFET CMOS circuits, and key words: FinFETs, Circuits, Inverters, CMOS technology, Etching, Electrodes, Implants, Silicides, Tungsten, Voltage. Abstract: We present, to our knowledge, the first published experimental demonstration of a CMOS inverter chain built from FinFETs, completely integrated in 180nm CMOS technology, using one level of copper wiring and tungsten vias. A four-stage inverter chain with Lgate = 200nm, Tsi =, 60nm, and Tox = 2.2nm was run at 1.5V. We demonstrate successfully propagating CMOS levels through four inverter stages employing over 300 fins. |
7,232 | Please write an abstract with title: A genetic algorithm applied to optimal gene subset selection, and key words: Genetic algorithms, Gene expression, Neoplasms, Cancer, DNA, Computer science, Content addressable storage, Medical treatment, Microscopy, Monitoring. Abstract: Optimal gene subset selection plays an important role in classification of patient samples. Different to existed methods, we propose a novel optimal gene subset selection approach based on genetic algorithms (GAs). Special fitness function is applied in this scheme. Going beyond other methods, this GA-based method automatically determines the members of a predictive gene group, as well as the optimal group size. The evaluation experiments are applied to two data sets. The results and some discussions are presented too. |
7,233 | Please write an abstract with title: Implementation of Air Quality Monitoring for Traffic Routing, and key words: Methane, Roads, Urban areas, Carbon dioxide, Programming, Routing, Air pollution. Abstract: The air condition on the streets in big cities like Surabaya which tends to be exposed to pollution, makes the roads not good for health, especially for motorists. People who want to drive do not know which road areas have good air quality. In this paper, a traffic routing system based on air quality will be proposed. Several air quality parameters used include carbon monoxide (CO), carbon dioxide (CO2), and methane (CH4). From the test results, it can be seen that the traffic routing that has been made can avoid the U (Unhealthy) area by 79.9%, avoid the VU (Very Unhealthy) area by 20%, and avoid the D (Dangerous) area by 30%. With this traffic routing system, it is hoped that users will be more aware of air conditions when driving, help them become aware of air pollution, especially in Surabaya, and hope that many will follow and reduce air pollution in Surabaya. |
7,234 | Please write an abstract with title: Classification Of Hyperspectral Images Using Deep Learning Architecture for Remote Sensing Applications, and key words: Deep learning, Architecture, Roads, Semantics, Computer architecture, Loss measurement, Decoding. Abstract: Land use and land cover plays a vital role in the natural resource management. It is used to map the environmental changes for ecosystem monitoring. Automatic mapping can bring numerous values for agriculture, urban management and forestry. The advancement of deep learning techniques produces remarkable results on image classification filed which has applied essentially in the field of remote sensing. This paper presents land cover classification based on deep learning technique. It consists of U-Net architecture with encoder and decoder phases. The encoder internments semantic representation by utilizing the convolution layers. The decoder part reinstates spatial information with the help of skip connection. The proposed method is compared with state-of-the-art methods and produce 81.23% of over land cover datasets. |
7,235 | Please write an abstract with title: Magnetic sensing as signal integrity monitoring in integrated circuits, and key words: Monitoring, Magnetic field measurement, Magnetic fields, Magnetic sensors, Circuit simulation, Integrated circuit interconnections, Integrated circuit modeling, Electron mobility, Computational modeling, Signal generators. Abstract: We present experimental and simulations results of a magnetic sensor (MAGFET) used as built-in monitor of signal integrity in interconnect lines of integrated circuits. The magnetic signal generated by the electrical signal flowing through the interconnect lines, is sensed by the MAGFET. This way we monitor signal integrity without adding an extra electrical load to the line. |
7,236 | Please write an abstract with title: Active cancellation of periodic EMI of power electronic systems by injecting artificially synthesized signals, and key words: Electromagnetic interference, Active filters, Impedance, Passive filters, Power electronics, Feedforward systems, Capacitance. Abstract: Active EMI cancellation is an interesting solution to reduce the size of passive filter components. In this work, the already established active EMI filter types are summarized. The systematic limitations are elaborated that result from the feedback or feedforward approach for cancellation signal generation. Afterward, a new method is presented in which the cancellation signal is artificially synthesized and injected into the system. This method is especially well suited for the suppression of periodic EMI since the anti-EMI can conveniently be synthesized from cancelling sine waves. Bothersome effects, like complex frequency characteristics or delays, can be compensated by appropriate amplitudes and phases. By doing so, systematic limitations of active EMI filters can be resolved. In this work, the fundamental concept and possible variants are depicted. Although many limitations of active EMI filters are resolved, also the new method has its limits. These are described and discussed. Furthermore, different methods for determining the cancelling sine waves are summarized. Last, a prototype cancellation system is presented and discussed to suppress the EMI of a GaN-based 48 V/12 V DC-to-DC converter with a switching frequency of 300 kHz. The disturbances are actively suppressed below the strictest limit (class 5) of the automotive standard CISPR 25 in the frequency range from 150 kHz to 30 MHz. The active suppression of the cancellation system and the passive attenuation of the coupling circuits are individually investigated to elaborate the performance of the active cancellation strategy. The power of the generated cancellation signal is estimated. |
7,237 | Please write an abstract with title: Broad-Band Microwave Discriminator (Correspondence), and key words: Microwave devices, Equations, Circulators, Wavelength measurement, Loss measurement, Impedance measurement, Frequency dependence, Bandwidth, Coaxial components, Power generation. Abstract: A sketch of a novel broad-band microwave discriminator is shown in Fig. 1. The device utilizes a pair of symmetric 3-db hybrids joined by unequal lengths of transmission line. The difference between line lengths is represented as a frequency dependent phase difference /spl phi/. |
7,238 | Please write an abstract with title: Design, Fabrication, and Experimental Results of a Pulsed Power-Based Four-Stage Induction Coilgun for Launching a Heavy Projectile, and key words: Stators, Coilguns, Projectiles, Force, Missiles, Electromagnetics, Signal to noise ratio. Abstract: Since 2016, Hanwha Defense Corporation has been working on applying electromagnetic launch technologies such as induction coilguns to cold-launch systems that can launch guided missiles. First, a design procedure of a multistage coilgun system based on the pulsed power driven by capacitor banks was developed using the Taguchi method, and a laboratory-scale three-stage coilgun capable of launching a 21.68-kg projectile at a maximum speed of 27.5 m/s was built and the results of the experiment were announced in 2018. In this article, we design, fabricate, and present the experimental results of a pulsed power-based four-stage induction coilgun using the proposed procedure to prove the validity of the electromagnetic launch technology for heavy missile launch. In this experiment, a 100-kg projectile was fired under 4-kV charging conditions, the maximum speed of the projectile was 25 m/s or more, and an efficiency of 15% was achieved without considering the mass of the armature. In this study, by accelerating a 100-kg projectile to 27 m/s, the feasibility of an electromagnetic launcher developed for heavy missile launch was verified. |
7,239 | Please write an abstract with title: An Analysis on Paths of Promoting the Construction of Modern Vocational Education System by Educational Informatization, and key words: Training, Standards, Economics, Databases, Business, Information technology. Abstract: The main characteristics of modern vocational education system are the coordinated development and close connection of secondary vocational education, higher vocational education and undergraduate education. At present, there are various modes of connection between Schools of different educational levels, but most of them stay at the formal level. The connotation of connection is insufficient and problematic. However, educational informatization plays an important role in promoting the construction of modern vocational education system. It has been proved by practice that, in view of the five outstanding problems, such as unclear target orientation, not closely connected courses, weak and unbalanced teachers, lack of standards and comparison in professional ability evaluation, lax process management and difficult monitoring of teaching quality, we can promote integration of “Secondary vocational schools - Higher Vocational schools - undergraduate schools - enterprise” from five paths: talent training plan, teaching resources, teaching staff, evaluation mode and teaching management, and promote the coordinated development of the four main bodies. |
7,240 | Please write an abstract with title: Fuzzy Logic Navigation System for Autonomous Endovascular Operations, and key words: Fuzzy logic, Training, Uncertainty, Navigation, Surgery, Tools, Testing. Abstract: Endovascular operations are not only critical for the life of the patients but also very challenging for the surgeons. Such operations, require extensive surgical training, operative accuracy, and they are time consuming. Vascular robotics is identified as a solution that may facilitate vascular operations. This paper frames itself in the field of invasive robotics used for endovascular operations and proposes a new system for robot navigation. In particular, a fuzzy logic system is proposed that implements endovascular autonomous navigation of a robot in a patient. The fuzzy navigation system is tested on 3-dimensional simulations of the human aorta. The testing case demonstrates the ability of the fuzzy navigation to be an autonomous - i.e. no human intervention is required for navigation-and completes the navigation in the aorta with accuracy and speed. |
7,241 | Please write an abstract with title: Decentralized Decision-Making for Multi-Agent Networks: the State-Dependent Case, and key words: Design methodology, Conferences, Decision making, Probability, Complexity theory, Global communication. Abstract: We consider a new formulation of the decentralized detection problem with parallel agent configuration. In particular, each agent in the network exists in a set of pre-specified states that affects the distribution of their observations as well as the underlying hypothesis. As such, observations are conditionally dependent. Following a person-by-person design methodology, it is shown that the Bayes optimal detection rule for each agent is a likelihood ratio test with a state dependent threshold. Moreover, it is shown that even for statistically identical agents, the optimal rules for the agents may not be the same. Motivated by this, we turn our attention to large networks and find the error exponent, and show that as the number of agents increases there is no loss of asymptotic optimality if the agents use the same rule, dramatically reducing the complexity of computing the decision rules for each agent. |
7,242 | Please write an abstract with title: Performance of joints in the CS model coil and application to the full size ITER coils, and key words: Coils, Conductors, Niobium, Tin, Testing, Magnetic fields, Temperature, Heating, Refrigeration, Stability analysis. Abstract: Cable-in-conduit conductors (CICC) consisting of about 1000 Nb/sub 3/Sn strands with an outer diameter of about 0.8 mm, have been designed for the TF and CS coils of the ITER. The rated currents of these coils are 68 and 40 kA, respectively. Two joint types (Butt and Lap) were developed during the CS Model Coil project. The performance of these joints was evaluated during the operating tests and satisfactory results were obtained. The joints of the TF coils are located outside of the winding in a region where the magnetic field is about 2.1 T, a very low value as compared to the maximum field of 11.8 T at the winding. The CS joints are located at the coil outer diameter and embedded within the winding pack to minimize the space occupied around the coil. The maximum fields at the CS joint and winding are 3.5 and 13 T, respectively. For the TF coils and the CS, the joints are cooled in series with the conductor at the outlet. The maximum allowable temperature increase due to the joule heating in the joints is 0.15K to reduce the heat load on the refrigerator. The stability of these joints at the ITER operating condition was analyzed by using the experimental data. The analysis shows that both joint types are applicable to the full size ITER coils. |
7,243 | Please write an abstract with title: Tactile Slip Detection in the Wild Leveraging Distributed Sensing of both Normal and Shear Forces, and key words: Training, Adaptation models, Force measurement, Force, Distributed databases, Robot sensing systems, Feature extraction. Abstract: The ability to detect that a grasped object is slipping from the robot gripper is a crucial skill for autonomous robotic manipulation. However, current solutions for automatic slip detection do not perform well in real-world unstructured settings, in which a wide variety of gripper-object interactions could occur. Tactile and force sensing are the most suitable sensory modalities to detect such events, and the recent technological advances in the field are generating novel interesting opportunities. In this work, we propose a data-driven method for automatic slip detection that leverages a novel sensor, which combines the advantages of tactile and force sensing, i.e. distributed measurements of normal and shear contact forces. Interestingly, our model is trained (and tested) uniquely with data obtained during routine robot operations (i.e. in the wild) rather than during a controlled data collection procedure. We compare different sets of tactile/force features to highlight the advantages provided by the different sensory modalities, and we report results that show good detection performances on our in-the-wild dataset, which we make publicly available. |
7,244 | Please write an abstract with title: Hierarchical Global Wiring for Custom Chip Design, and key words: Wiring, Chip scale packaging, Logic design, Wires, Algorithm design and analysis, Runtime, Very large scale integration, Libraries, Simulated annealing, Linear programming. Abstract: We present a global wiring algorithm used in a top-down physical design environment, i.e. macros are laid out only after global wiring is done, and wires are allowed to pass through macros (wiring-through model). The floorplan of the chip is in the form of a slicing structure. The algorithm is based on a hierarchical scheme. The final result is obtained through a series of refinement as the problem is recursively decomposed into a set of small-sized problems and then solved efficiently. Given a balanced slicing tree representation of the floorplan, the worst-case running time of the overall algorithm is O(MN), where M is the number of macros and N the number of nets. The algorithm has been implemented in the C language and has been used for actual chip design. Experiments showed that the hierarchical router performs better than a flat maze type router in wireability handling, equally well in wire length, and much faster in run-time (at least 10 times for an example with 100 macros and 1000 nets, and the gap being even larger for bigger sized problems). |
7,245 | Please write an abstract with title: Error Performance of Binary NCFSK in the Presence of Multiple Tone Interference and System Noise, and key words: Interference, Random variables, Noise shaping, Error analysis, Jamming, Signal detection, Probability, Frequency shift keying, Signal analysis, Birds. Abstract: This paper presents a general solution to the problem of calculating the error performance of binary NCFSK systems in the presence of multiple tone interference and system noise. The development uses the concepts of circularly symmetric signals and expresses the results in terms of a Bessel integral. This integral is then evaluated using a rapidly converging Fourier-Bessel series. The error in this approximation to the integral is controlled by two parameters which may be adjusted so that the desired accuracy is attained. It is determined that, in the useful probability-of-error range and when the total tone power is constrained, the error rate increases for an increase in the number of interfering tones. In addition, for equal amplitude tones, the performance is independent of the distribution of the tones within the channel. The technique used is also applicable to other detection problems where the threshold is a random variable. |
7,246 | Please write an abstract with title: Self-Guiding and Coupling of Light through Suspensions of Sheep Red Blood Cells, and key words: Laser beams, Laser excitation, Optical beams, Suspensions, Optical waveguides, Biology, Waveguide lasers. Abstract: We demonstrate nonlinear self-trapping and guiding of light through suspensions of red-blood-cells from sheep. By master/slave-type coupling, biological waveguides formed at one wavelength can effectively guide a wide spectrum of light at low power. |
7,247 | Please write an abstract with title: Transient Space Charge Limited Picosecond Pulses Using Ultra Short Laser Pulses, and key words: Laser theory, Analytical models, Voltage, Space charge, X-ray diffraction, Sensors, Ultra wideband radar. Abstract: The generation of short and powerful electron bunches and electromagnetic pulses (EMP) is a major requirement for many applications such as ultrawide band (UWB) radar sensors [1] , generation of picosecond X-ray pulses, ultra-fast electron diffraction and microscopy and as pulsed high brightness picosecond electron guns for SEM. Here we investigate a technique to generate high voltage ultra-short pulses using vacuum photo diodes for application in UWB radar sensors. The maximum current flux which can be extracted is determined by the space charge limit [2] . Here we develop a self similar analytic model for calculating the peak current and duration of the space charge limited pulses for the case of ultrashort (on the order of a picosecond or less) laser excitation of a photocathode. In order to compare to a real physical system, the pulse widths are calculated for the case of a 3 mm diode gap with various potentials ranging from 1kV to 5kV applied to the anode. In order to verify the self similar analytic solutions derived, numerical modelling of the transient pulse generation was also carried out using a 1D non-relativistic electrostatic Particle in Cell (PIC) code. The results show the possibility of generating EMP pulses of 100 ps or less in duration with peak currents of several amps leading to voltage pulses of hundreds of volts into 50 ohm loads with photocathode areas of the order of 1 cm 2 . The possibility to generate such pulses using high repetition rate (order of 10 kHz - 1 MHz) laser systems will be discussed in detail. |
7,248 | Please write an abstract with title: Gradiometer-Based Magnetic Localization for Medical Tools, and key words: Sensors, Magnetic sensors, Magnetic field measurement, Location awareness, Magnetic separation, Navigation, Tensors. Abstract: Remote magnetic navigation (RMN) offers various possibilities for medical interventions. Magnetic catheters can be wirelessly steered with high precision and accuracy through complex structures, as they are generally more dexterous and flexible than their manually steered counterparts. Position feedback is essential for many tasks. However, most of the commercially available systems do not integrate well with the magnetic navigation systems (MNSs). As a result, fluoroscopy is still widely used in many interventions despite the known associated health risks. In this study, we propose a localization method that uses multiple Hall sensors to measure the magnetic fields produced by the MNS and estimate the full sensor pose without the need for a separate dedicated mapping system. This makes the MNS a two-in-one system that can be used for simultaneous navigation and localization of a medical tool. We perform an optimization of the sensors’ array design in simulation and investigate the influence of the magnetic fields and gradients on the localization accuracy to provide information on the minimal requirements for an MNS for this task. |
7,249 | Please write an abstract with title: The Influence of LO Power Heating of the Tunnel Junction on the Performance of THz SIS Mixers, and key words: Mixers, Junctions, Superconducting devices. Abstract: We describe the performance of a superconductor- insulator-superconductor (SIS) mixer operating in the frequency range of 780-950 GHz. Unlike most SIS mixers, the tunnel junction employs two different superconductors, a niobium nitride top and a niobium bottom electrode sandwiching an aluminum nitride barrier layer, fabricated on a niobium titanium nitride ground plane. The mixer was tested in a pulse tube cryostat, with all the optical components, in the signal path, mounted inside the vacuum environment to avoid attenuation of the RF signal as it propagates from the hot/cold loads to the mixer. With this setup, we have measured an RF-corrected noise temperature of ~220 K. In this article, we focus on investigating the influence of local oscillator (LO) power heating on the performance of the terahertz mixer. The increase in the junction's physical temperature can be observed experimentally by noting the suppression of the gap voltage in the pumped current-voltage (I-V ) curve as the LO pumping level is increased. Similar observation has already been reported, and attempts were made to estimate the effective temperature of the device using equations of heat transfer between the mixer chip layers. Here, we present an experimental method of quantifying this effect by recovering the effective temperature of the junction through comparing the pumped I-V curves at different pumping levels and fixed bath temperature, with the unpumped I-V curves obtained at varying bath temperatures. We also estimate, for the first time, the effect of heating on the noise temperature as a function of bath temperature and frequency. We show that for typical experimental parameters, the LO heating can increase the double-sideband receiver noise temperature by as much as 20%, and that in the frequency range of the measurements, the effective temperature of the junction at fixed LO power increases linearly with frequency at a rate of 0.5 K/100 GHz. |
7,250 | Please write an abstract with title: A Hungarian-based Heuristic for Dual-command Storage/Retrieval in Single-machine Flow-rack AS/RS with Determined Locations, and key words: Performance evaluation, Information science, Analytical models, Storage automation, Benchmark testing, Floors, Investment. Abstract: The single-machine flow-rack (SMFR) automated storage and retrieval system (AS/RS) has high storage density, high utilization of floor space, low investment cost, and low operation cost. Based on the determined storage and retrieval locations, the generation of dual-command cycle (DC) operation in the SMFR AS/RS can be modeled as an assignment problem, which can be solved by the Hungarian method. Therefore, a novel heuristic, denoted as LSH (Less-Shelves Hungarian), modified from Hungarian is proposed in this paper to generate high performance DC operations in SMFR AS/RS with determined storage and retrieval locations. The aim of the proposing heuristic is to minimize the total travel time of storage and retrieval operations. Simulation experiments are executed to analyze and evaluate the performance of LSH. Experimental results verify that the proposed heuristic has better effectiveness and efficiency than existed heuristic for the same problem. |
7,251 | Please write an abstract with title: Simplification of Toffoli networks via templates, and key words: Network synthesis, Computer science, CMOS logic circuits, Quantum computing, Optical computing, Circuit synthesis, Logic functions, Computer applications, Nanotechnology, Optical feedback. Abstract: Reversible logic functions can be realized as networks of Toffoli gates. The synthesis of Toffoli networks can be divided into two steps. First, find a network that realizes the desired junction. Second, transform the network such that it uses fewer gates, while realizing the same function. This paper addresses the second step. Transformations are accomplished via template matching. The basis for a template is a network with m gates that realizes the identity function. If a sequence in the network to be synthesized matches more than half of a template, then a transformation reducing the gate count can be applied. All templates for m/spl les/7 are described in this paper. |
7,252 | Please write an abstract with title: Research on Automatic Generation of Stimulator Based on CAN-FD Verification Platform, and key words: Registers, IP networks, Very large scale integration, Bit rate, Arrays, Monitoring, Hardware design languages. Abstract: In this paper, we use Python script to read the function detailed description documents of CAN-FD IP, extract the required information according to the main keywords and other information, and automatically generate the qualified System Verilog constrained randomized register configuration stimulator. The simulation results show that the stimulator can meet the design requirements for the configuration of excitation, and can effectively improve the design efficiency of the verification platform. |
7,253 | Please write an abstract with title: Cutting through the Disinformation of a 10‐Million‐Dollar Hack, and key words: Computer hacking, Databases, Media, Logic gates, Information integrity, Games, Software development management. Abstract: In this chapter, the author commences with information on GnosticPlayers. This well‐known group that gained notoriety for a series of very high‐profile hacks had decided to publicly post his/their involvement in the theft of 10 million dollars' worth of cryptocurrency. Through an unprecedented admission of guilt, Nclay, the group's leader, decided to repent for his sins and publicly announce his involvement in the GateHub hack. Not only was GnosticPlayers admitting his own guilt, but he had suddenly decided to partake in conversations where he would openly use his and his partners' real names and identities. The author presents a list of, though not comprehensive, sites hacked by GnosticPlayers. The hack was simple but extremely effective: the group would target developers and would use recycled credentials to log in to their GitHub accounts. The public admission of guilt by GnosticPlayers came as an obvious shock. |
7,254 | Please write an abstract with title: System-level design techniques for throughput and power optimization of multiprocessor SoC architectures, and key words: System-level design, Throughput, Design optimization, Computer architecture, Application software, Energy consumption, Design automation, Multiprocessing systems, Multimedia systems, Constraint optimization. Abstract: Innovative system-level computer-aided design techniques are required for optimizing the performance and power of applications that are mapped to multiprocessor system-on-chip (SoC) architectures. The paper addresses the hitherto unexplored problem of system-level low power design of multimedia and network processing applications with deadline greater than period. This paper presents four techniques that combine low power optimizations (namely dynamic voltage and frequency scaling (DVS) and dynamic power management (DPM)) with loop transformations (functional pipelining and unrolling) to minimize the power consumption, while satisfying the period and deadline constraints of the application. The strengths of the techniques lie in their low complexity and large power consumption savings when compared with existing heuristic based approaches, and close to optimum results when compared with our ILP based approach (presented elsewhere stated in K. Srinivasan and K.S. Chatha (2004)). All our techniques result in large system-level power reductions when compared with existing heuristic approaches (max: 55.45%, min: 28.60%, ave: 42.02%). Further, the results produced by our deterministic and stochastic techniques for realistic benchmarks are on an average within 12.07% and 4.125%, respectively of the optimum solution produced by the ILP based approach. Our heuristic techniques are faster than the ILP based approach by several orders of magnitude. |
7,255 | Please write an abstract with title: Self-Supervised Contact Geometry Learning by GelStereo Visuotactile Sensing, and key words: Geometry, Sensors, Three-dimensional displays, Estimation, Image reconstruction, Tactile sensors, Color. Abstract: Vision-based tactile sensors have recently shown promising contact information sensing capabilities in various fields, especially for dexterous robotic manipulation. However, dense contact geometry measurement is still a challenging problem. In this article, we update the design of our previous GelStereo tactile sensor and present a self-supervised contact geometry learning pipeline. Specifically, a self-supervised stereo-based depth estimation neural network (GS-DepthNet) is proposed to achieve real-time disparity estimation, and two specifically designed loss functions are proposed to accelerate the convergence of the network during the training process and improve the inference accuracy. Furthermore, extensive qualitative and quantitative experiments of perceived contact shape were performed on our GelStereo sensor. The experimental results verify the accuracy and robustness of the proposed contact geometry sensing pipeline. This updated GelStereo tactile sensor with dense contact geometric sensing capability has predictable application potential in the field of industrial and service robots. |
7,256 | Please write an abstract with title: A New Approach to Teaching Statics Using a Makerspace, and key words: Bridges, Education, Prototypes, Encoding, Testing, Creativity, Technological innovation. Abstract: This Work In Progress (WIP), Research to Practice Category paper, addresses a new approach to teaching concepts within introductory statics for undergraduate engineering students using a low-resolution-preto/prototyping makerspace. As the benefits of physical modeling and communities of practice have been increasingly documented, makerspaces have sprung up across numerous college and university campuses. Although makerspaces vary between institutions, they generally have resources that provide users the opportunity to perform hands-on design and obtain build experience. These facilities also bring people of different disciplines together, encouraging the sharing of perspectives and fostering collaboration among users. Literature pertaining to makerspaces shows that enhanced learning occurs within students who utilize these spaces. The new approach was pilot tested in the fall 2018 semester. In this math and physics-intensive sophomore-level course, the instructional goals in utilizing the makerspace included an enhanced understanding of the physical significance and application of core course concepts. The main course concept demonstrated was planar truss design, as pursued through the physical construction and testing of balsa wood bridges. Students were asked to design, build, and test a bridge prototype in a hands-on fashion using the makerspace. A second section of the course taught by the same instructor did not utilize the makerspace to build and test a prototype; instead, the students designed and analyzed a bridge prototype using 3D modeling and finite element analysis software, enabling a comparison. An assessment plan was developed that included the gathering of both student-perspectives, as well as direct performance data, including students’ performance on the bridge prototyping project. Via survey, students were asked, prior to and after completing the bridge project, their perspectives about the makerspace, and if the makerspace enhanced their understanding of statics as well as their creativity and other professional skills, respectively. In this WIP paper, we will describe the bridge prototyping project and students’ use of the makerspace from the instructional team’s viewpoint. We will also present preliminary assessment data demonstrating student perspectives on the approach. Lessons learned will also be discussed, including the instructor’s plans for continuing this approach in future semesters. |
7,257 | Please write an abstract with title: Monopole antenna at center of circular ground plane: Input impedance and radiation pattern, and key words: Antenna radiation patterns, Physical theory of diffraction, Current distribution, Admittance, Current density, Moment methods, Equations, Surface impedance, Image segmentation. Abstract: Computer solutions of monopole antennas at the center of circular ground planes have previously been applied to the calculation of their input impedance through the use of magnetic edge currents. An alternative approach based on approximate physical currents is shown to give good agreement for both radiation patterns and input impedances. |
7,258 | Please write an abstract with title: Deep Space Habitation: Establishing a Sustainable Human Presence on the Moon and Beyond, and key words: Space vehicles, Mars, Moon, NASA, Transportation, Logic gates, Orbits. Abstract: NASA has been tasked with implementing a bold vision of the future for human spaceflight including expanding the commercial market and operations in low-Earth orbit (LEO); launching the world's most powerful rocket and deep space crew spacecraft; incrementally establishing a sustainable presence on and around the Moon, starting by landing the first woman and the next man on the surface in 2024 while, in parallel, constructing an orbital Gateway in cislunar space. The key piece of establishing a sustainable presence in deep space is the development of habitation systems that will not only extend mission operations, but provide for living quarters that will keep the crew happy and healthy throughout their expeditions. Beyond the Gateway habitation needs, these capabilities will need to be defined and advanced to support the initial lunar surface missions and to prepare for human missions to the Mars system. The Foundation Surface Habitat (FSH) is the current concept in consideration to serve as this initial surface habitat that will extend the crew mission durations. It will provide 30-60 day habitability for a crew of four allowing for the astronauts to explore farther and longer on each visit to the lunar surface. The Transit Habitat is the current concept under study that would be capable of supporting long-duration missions. These missions could include extended operations at the Gateway or as a free-flyer facility in low-Earth orbit but ultimately, the Transit Habitat is envisioned as the crew habitat that would transport humans on long-duration deep space missions. The Transit Habitat integrated with an advanced propulsion system would serve as the in-space transportation system tasked with safely ferrying humans to and from Mars. Each of these habitation concepts is currently under study internal to NASA, but the agency is also working closely with U.S. industry through the Next Space Technologies for Exploration Partnerships (NextSTEP) activity to understand their concepts for a commercially-provided FSH and Transit Habitat as well as close coordination with our international partners to understand their desires for in-space and surface habitation. This paper will provide a status of these concepts and partnership activities as well as potential future development paths and architecture plans. |
7,259 | Please write an abstract with title: Effect of Acoustic Scene Complexity and Visual Scene Representation on Auditory Perception in Virtual Audio-Visual Environments, and key words: Psychoacoustics, Loudspeakers, Visualization, Current measurement, Virtual environments, Resists, Auditory system. Abstract: In daily life, social interaction and acoustic communication often take place in complex acoustic environments (CAE) with a variety of interfering sounds and reverberation. For hearing research and the evaluation of hearing systems, simulated CAEs using virtual reality techniques have gained interest in the context of ecological validity. In the current study, the effect of scene complexity and visual representation of the scene on psychoacoustic measures like sound source location, distance perception, loudness, speech intelligibility, and listening effort in a virtual audio-visual environment was investigated. A 3-dimensional, 86-channel loudspeaker array was used to render the sound field in combination with or without a head-mounted display (HMD) to create an immersive stereoscopic visual representation of the scene. The scene consisted of a ring of eight (virtual) loudspeakers which played a target speech stimulus and non-sense speech interferers in several spatial conditions. Either an anechoic (snowy outdoor scenery) or echoic environment (loft apartment) with a reverberation time (T60) of about 1.5 s was simulated. In addition to varying the number of interferers, scene complexity was varied by assessing the psychoacoustic measures in isolated consecutive measurements or simultaneously. Results showed no significant effect of wearing the HMD on the data. Loudness and distance perception showed significantly different results when they were measured simultaneously instead of consecutively in isolation. The advantage of the suggested setup is that it can be directly transferred to a corresponding real room, enabling a 1:1 comparison and verification of the perception experiments in the real and virtual environment. |
7,260 | Please write an abstract with title: The Effects of a Stressful Physical Environment During Virtual Reality Height Exposure, and key words: Three-dimensional displays, Conferences, Virtual reality, User interfaces, Rendering (computer graphics), Haptic interfaces, Reliability. Abstract: Virtual reality height exposure is a reliable method of inducing stress with low variance across age and demographics. As the virtual environment's quality of rendering fidelity increases dramatically, it leads to the neglect or simplification of the physical environment. This paper presents an experiment that explored the effects of an elevated physical platform with a virtually heightened environment to induce stress. Fifteen participants experienced four different conditions of varying physical and virtual heights. Participants reported significantly higher stress level when physically elevated regardless of the virtual height, which suggests that the inherent elevation will induce more stress within participants. |
7,261 | Please write an abstract with title: Optimal inventory control policy in fuzzy sense, and key words: Inventory control, Fuzzy control, Cost function, Uncertainty, Lead time reduction, Automation, Fuzzy set theory, Supply chain management, Technology management, Probability distribution. Abstract: This paper developed the EOQ model with fuzzy lead time. The lead time was fuzzified into tripodal fuzzy number and the fuzzy average cost was obtained. To find the optimal order quantity and reorder point, the average cost was defuzzified using signed distance in fuzzy sense. By analysing the convexity of this defuzzified function, the characterization of the optimal solution was obtained, from which one could compute the optimal solution easily. Furthermore numerical examples were provided, which show that if the uncertainty of lead time is small, the optimal average cost increases with the uncertainty of it very slowly. |
7,262 | Please write an abstract with title: An artificial neural network based transmission loss allocation for bilateral contracts, and key words: Artificial neural networks, Propagation losses, Contracts, Load flow, Electronic mail, System testing, Electricity supply industry deregulation, Energy consumption, Power generation, Convergence. Abstract: The introduction of deregulation and the subsequent open access policy in electricity sector have opened up the door for power transactions between generators and bulk consumers under many different market-driven contractual forms including bilateral contracts. Long-term bilateral contracts are attractive to many parties who want to avoid price volatility. With bilateral contracts it becomes necessary to allocate transmission loss to respective transactions. An artificial neural network based transmission loss allocation method is presented in this paper. The method is computationally efficient and can provide solutions on a real-time basis. Most independent system variables can be used as inputs to this neural network which in turn makes the loss allocation process responsive to practical situations. Training and testing of this network have been done with the help of the IEEE 24-bus test system. A technique has been developed to expedite the convergence and to improve the accuracy of the results. Numerical examples on loss allocations for both peak and off-peak hours have been provided and compared with those obtained using another technique. |
7,263 | Please write an abstract with title: Hybrid modular multilevel converter for variable DC link voltage operation, and key words: Voltage control, Topology, Multilevel converters, Stress, Reactive power, Pumps, Power electronics. Abstract: Modular Multilevel Converter (MMC) secured its place in applications where high reliability, efficiency and effortless voltage/power scalability are of paramount importance. Without compromising these benefits, this paper proposes a novel control and appropriate design approach for Hybrid-MMC topology, comprising a mix of Full-Bridge and HalfBridge submodules in converter branches, as a grid-side stage of a back-to-back MMC, enabling operation at variable DC link voltage and arbitrary power factor. In the midst of transition to Renewable Energy Sources-dominated power systems, variable DC link voltage operation opens door to the use of Hybrid-MMC in retrofit of large Pumped Hydro Storage Plants to variable speed operation, where existing machines would not tolerate high common-mode voltage stress imposed by fixed-DC-link-voltage operated machine-side MMC stage. In this way, highly flexible grid-scale energy storage use of existing hydro capacities is enabled. Converter design approach and additional control layers have been developed and verified through a set of test scenarios. Sizing and operation at typical operating points are compared to equally-rated Full-Bridge-based MMC. Improvements over the existing Hybrid-MMC solutions include unity-power-factor operation at the entire attainable DC link voltage range and equal loading of upper and lower phase-leg branches regardless of the operating poin. |
7,264 | Please write an abstract with title: Massively-parallel Amplitude-Only Fourier Optical Convolutional Neural Network, and key words: Prototypes, Optical computing, Machine learning, Optical fiber networks, Lasers and electrooptics, Convolutional neural networks, Electrooptical waveguides. Abstract: Here we introduce a novel amplitude-only Fourier-optical processor paradigm and demonstrate a prototype system capable of processing large-scale ~(2,000x1,000) matrices in a single time-step and 100 microsecond-short latency, for accelerating machine-learning applications. |
7,265 | Please write an abstract with title: High temperature Quantum Cascade Lasers and detectors in the Terahertz Region, and key words: Detectors, Quantum cascade lasers. Abstract: This document was not made available for publication as part of the conference proceedings. |
7,266 | Please write an abstract with title: A sufficient error criterion for the computational solution of the magnetic field boundary integral equation, and key words: Magnetic fields, Integral equations, Optical surface waves, Electromagnetic scattering, Resonance, Laboratories, Frequency, Green function, Physics, Electromagnetic fields. Abstract: A major problem in the computational solution of scattering by a perfectly conducting object using boundary integral equations is their non-uniqueness due to the existence of interior field solutions at certain frequencies. Nowadays, the standard technique to overcome this problem is a proper combination of the electric field integral equation (EFIE) and the magnetic field integral equation (MFIE). The drawback is the extra computational burden. In addition, there is no error criterion with respect to the errors made in the discretization of the two types of integral equations. In view of the computational simplicity of MFIE, we start with this equation and investigate the analytical and computational consistency in the interior of the scattering object. We show that the L/sub 2/-norm over a small closed interior surface leads to a sufficient error criterion for the computational solution at hand. Non-uniqueness problems at certain internal resonances are immediately indicated. Since this interior surface is much smaller than the boundary surface, the extra time for the computation of this norm is no point of discussion. Finally, we show that this internal error criterion can directly be imposed as a sufficient constraint to MFIE to avoid the non-uniqueness. |
7,267 | Please write an abstract with title: Development of Secure Remote Connection for the Electronics Laboratory Based on Red Pitaya Board, and key words: Remote laboratory, secure, linear electronics, Red Pitaya. Abstract: Designing exceptional engineering study programs that cater to individual needs, provide adaptable learning paths, and enable easy and quick access to relevant educational resources and instructors is a complex and demanding task that must be resolved to ensure a bright future for engineering education. The laboratory plays a vital role in engineering and applied science education. As the internet and IT (Information technology - term that includes the development, installing and use of anything to do with computing and telecommunications) technologies have evolved and connected people globally, the development of virtual and remote laboratories has become inevitable. This innovation is beneficial for students enrolled in traditional classroom-based courses, as well as online or distance learning programs. Students can now extend or adjust their study time, thanks to the growing number of smart and portable devices that can connect to the internet. This convenience greatly facilitates their ability to manage their time and acquire self-directed learning skills, which will be helpful in their future careers. The flexibility and convenience offered by virtual and remote laboratories benefit educational institutions with limited funding as well, as they reduce maintenance expenses and enable universities to collaborate on experiments. |
7,268 | Please write an abstract with title: Reflection characteristics of nanoscopic layered structures and optical diagnostics of ultrathin dielectric films, and key words: Optical reflection, Nanostructures, Optical films, Dielectric films, Nonlinear optics, Dielectric substrates, Reflectivity, Dielectric constant, Nonhomogeneous media, Electromagnetic reflection. Abstract: The contribution of an N-layer system of ultrathin inhomogeneous dielectric films to the reflection characteristics of linearly polarized light is investigated in long-wave limit. The novel methods are developed for determining the parameters of nanometer-size dielectric films upon homogeneous transparent materials by using the differential reflectance. |
7,269 | Please write an abstract with title: Components of Comfort in the Office and its Individual Differences, and key words: Productivity, Indoor environments, Temperature, Air quality, Task analysis. Abstract: People, especially office workers spend most of their days indoors. Designers and builders try to realize comfort in the office, which improves the productivity and wellness of workers. The present research investigated the components of subjective comfort in an office environment and revealed its individual differences. We gathered data from office workers and university students working in their offices using a combination of the experience sampling method and the evaluation grid method. The results showed that comfort was composed of various factors such as thermal factor, inside factor, sound factor, humidity factor and others. Although the thermal factor was the most dominant for subjective comfort, the relative frequency of these factors varied between participants. To investigate these individual differences, we conducted a cluster analysis and found three clusters: the balanced, thermal and inside clusters. The three clusters focused on different aspects of the environment. In addition, though subjective comfort related strongly with subjective productivity, the objective index of the thermal environment (predicted mean vote; PMV) failed to predict the participants’ subjective comfort and productivity. These results revealed that even in an environment where PMV indicates relatively good thermal conditions, thermal factors can cause discomfort. That is, to realize comfort in an environment, we need to be concerned with subjective indices and individual differences in addition to objective ones such as PMV. |
7,270 | Please write an abstract with title: Complete-to-overcomplete discrete wavelet transforms: theory and applications, and key words: Discrete wavelet transforms, Image reconstruction, Image resolution, Delay, Video coding, Filtering, Signal resolution, Video codecs, Discrete transforms, Arithmetic. Abstract: A new transform is proposed that derives the overcomplete discrete wavelet transform (ODWT) subbands from the critically sampled DWT subbands (complete representation). This complete-to-overcomplete DWT (CODWT) has certain advantages in comparison to the conventional approach that performs the inverse DWT to reconstruct the input signal, followed by the a/spl grave/-trous or the lowband shift algorithm. Specifically, the computation of the input signal is not required. As a result, the minimum number of downsampling operations is performed and the use of upsampling is avoided. The proposed CODWT computes the ODWT subbands by using a set of prediction-filter matrices and filtering-and-downsampling operators applied to the DWT. This formulation demonstrates a clear separation between the single-rate and multirate components of the transform. This can be especially significant when the CODWT is used in resource-constrained environments, such as resolution-scalable image and video codecs. To illustrate the applicability of the proposed transform in these emerging applications, a new scheme for the transform-calculation is proposed, and existing coding techniques that benefit from its usage are surveyed. The analysis of the proposed CODWT in terms of arithmetic complexity and delay reveals significant gains as compared with the conventional approach. |
7,271 | Please write an abstract with title: Electron dynamics in the bremsstrahlung reflex triode, and key words: Electrons, Anodes, Production, Nuclear weapons, Cathodes, Physics, Predictive models, Frequency, Stochastic processes, Analytical models. Abstract: Summary form only given, as follows. The reflex triode is a versatile bremsstrahlung source for Nuclear Weapons Effects simulation. The reflex triode employs a range-thin foil anode between two identical face-to-face hollow cathodes. Electrons undergo multiple reflexes through the anode foil converter as they lose their energy and are focused radially. The reflex triode can operate in the high total dose mode; the high dose rate mode; or the high fidelity mode, which maximizes the production of warm (5 keV < E < 50 keV) x-ray photons. When compared to bremsstrahlung production devices employing a range-thick anode converter, the use of a range-thin anode converter not only enhances the escape of warm x-rays, but also mitigates converter debris. Despite these advantages, key aspects of the physics of the operation of the reflex triode need to be better understood to optimize its radiation output. One of these unresolved aspects is the detailed motion of the electrons as they reflex through the anode foil. Modeling of the reflex triode operation with 2-1/2D PIC codes predicts an unexpectedly strong fluctuating electric field adjacent to the anode, having frequencies /spl sim//spl omega//sub pe/ and magnitudes roughly equal to the average electric field. This stochastic electric field causes the average number of reflexes to scale much less strongly that the inverse of the thickness of the anode foil. Results of analytic modeling and 2-1/2D particle-in-cell simulations will be presented which explore the dynamics of reflexing electrons and the accompanying fluctuating electric field in the reflex triode. |
7,272 | Please write an abstract with title: Performance analysis of a kinematic human motion model, and key words: Humans, Motion analysis, Kinematics, Biological system modeling, Filters, Feature extraction, Educational institutions, Nervous system, Epilepsy, Uniform resource locators. Abstract: We describe a thorough quantitative analysis of a novel, kinematic model of the human body used for the tracking and extraction of gait variables. The model includes multiple levels of structural complexity coupled with absolute and probabilistic kinematic constraints; while the relevant variables include velocity, stride length, stance width, and stance times. The analysis is based on the accuracy of extracted gait variables for various permutations of the proposed kinematic body model. Using patterns of complex human motion collected from a multi-camera video monitoring system, we demonstrate the precise costs and benefits associated with various model components and kinematic constraints. |
7,273 | Please write an abstract with title: Machine Learning Approach for Sentiment Analysis in Crime Information Retrieval, and key words: Sentiment analysis, Social networking (online), Blogs, Support vector machines, Training, Libraries, Testing. Abstract: Crime information is usually announced periodically. To get the information in real-time, the information should be retrieved through the information retrieval system automatically. The system should choose some appropriate keywords for retrieving the crime data. Eight keywords have been chosen which represented the most viral topic. The keywords in this study were analyzed regarding their sentiment from the hashtags in twitter posts. The Machine Learning algorithms were utilised such as Multinomal Naive Bayes, Random Forest Classifier, Linear SVM, and Nearestneighborhood (kNN) finding a better classifier. Sentiments, both positive and negative, are usually have been used by the website content designer to attract the reader. Most keywords showed negative sentiment which showed the negative reaction from the people. The sentiment analysis in Bahasa Indonesia also useful for understanding the people's view on the types of crime as well as for keyword selection in the crime information retrieval system. As the result, near-repeat crime effect as a condition where criminal activity tends to repeat in the near place and time, can be predicted. |
7,274 | Please write an abstract with title: Joint Optimization in Cached-Enabled Heterogeneous Network for Efficient Industrial IoT, and key words: Optimization, Heterogeneous networks, Energy consumption, Probabilistic logic, Base stations, Simulation. Abstract: In the era of industrial 4.0, industrial Internet of Things (IIoT) has brought essential changes to human society. For IIoT, communication in network can be defined as the basic condition for further development and integrated information exchange. In this way, cached-enabled heterogeneous industrial network is necessary to be optimized. In this paper, we consider the optimal geographical placement of contents in cache-enabled heterogeneous networks to minimize the total missing probability. And the probability represents that typical user cannot find requested file in the nearby base stations (BSs). In contract to existing works which only concern content placement, we jointly optimize content placement at BSs and activation densities of BSs of different tiers subject to the cache size limits and the constraint on the BSs energy consumption cost. In addition, the user distribution in this work is modeled by a homogeneous Poisson Point Process. We prove that the original optimization problem can be transformed to a convex problem. The convexity of the optimization problem allows us to apply the KKT conditions to derive useful analytical results of the optimal solution. Based on this, we propose a low-complexity near-optimal algorithm to find the approximated content placement probabilities. We further extend the optimization to heterogeneous networks with the user distribution modeled by the modified Cluster Process. Extensive simulation results show the superior performance of joint optimization of content placement and BSs activation densities compared to only optimizing content placement. |
7,275 | Please write an abstract with title: Network approach for physiological parameters measurement, and key words: Biomedical monitoring, Patient monitoring, Condition monitoring, Wireless sensor networks, Computerized monitoring, Displays, Computer industry, Measurement standards, Software standards, Medical services. Abstract: A portable parameter monitoring and analysis system for physiological studies and for assisting patient-centric health care management is developed. The system uses the network approach to acquire the data from sensors and transmit them to a server through wireless propagation means. The system automates the acquisition and monitoring of physiological parameters by continuous display on the monitor screen. Programming is done using industry strength software to display data and trends in real time on a standard PC. The measured data is accurate and lives up to the standards of the industry. |
7,276 | Please write an abstract with title: Differentially Private Node Similarity Matrix Release for Large-Scale Social Networks, and key words: Privacy, Differential privacy, Monte Carlo methods, Social networking (online), Gaussian noise, Scalability, Estimation. Abstract: Node similarity, which is usually released in the form of a matrix, provides the basis for network analysis. However, directly releasing node similarity matrix may entail privacy risk. More concretely, the sensitive network structure implied in node similarity potentially poses threats to individual privacy in the original network. For large-scale social networks, the problem with network analysis is to extract effective node similarity matrix on the premise of preserving privacy. Privacy-preserving matrix factorization (MF) is a valid means to address this problem. Existing methods using differentially private MF, however, have two limitations. First, existing methods incur a complex analytic calculation when reaping the gradient of the objective function of MF, which results in poor scalability. Second, existing methods typically use private gradient descent as a solver of MF yet require adding plenty of noise to each gradient, swamping the signal provided by the gradient and rendering poor overall result quality. Motivated by this, we propose GPMF, a generic differential privacy matrix factorization method for node similarity matrix release. Specifically, to uniformly calculate the gradient, we design a provable gradient estimation method, which theoretically reveals the intrinsic relationship between actual and estimated gradients whose error can be preset for optimization, liberating the form of function. Further, to achieve optimal gradient error without compromising privacy, we devise a private Langevin Monte Carlowe (LMC), which uses the Gaussian noise that satisfies differential privacy instead of the noise term in LMC, eliminating the damage of extra noise on the gradient while preserving the inner property of LMC. Theoretical analysis is provided to ensure that GPMF yields processed node similarity matrix with high network structure utility while obeying (ε, δ)-differential privacy. Simulations confirm the effectiveness and efficiency of GPMF. |
7,277 | Please write an abstract with title: An embedded DSP core for wireless communication, and key words: Digital signal processing, Wireless communication, Digital signal processing chips, Pipelines, Registers, Demodulation, Finite impulse response filter, Communication switching, Power dissipation, Hardware design languages. Abstract: This paper proposes an embedded DSP core for communication applications with targets of demodulation/synchronization operation. Besides providing a basic instruction set, similar to current day 16-bit DSP processors, it contains distinguish instructions, and special function blocks like dual MAC, sub-word multiplier, dedicated FIR filter and multi-levels slicer, which make this DSP processor more efficient for several communication tasks. Also, the entire architecture is parameterized such that it can be embedded in a variety of applications. In the design of the chip, we adapt gray coded addressing for lowering switching activity, pipeline register sharing for reducing pipeline register and the entire architecture is used to reduce power dissipation. The DSP chip is implemented by synthesizable Verilog code with TSMC 0.35 /spl mu/m SPQM cell library. The equivalent gate count of the core without memory is about 50 k. The chip area is 4.10 mm*4.10 mm (with on chip memory). |
7,278 | Please write an abstract with title: Website Design for Locating Tuna Fishing Spot Using Naïve Bayes and SVM Based on VMS Data on Indonesian Sea, and key words: Data visualization, Support vector machines, Monitoring, Testing, Oceans, Boats, Aquaculture. Abstract: Indonesia as a state maritime country has the largest ocean in the world and locates between two continents and two oceans (Figure 1). As a state maritime, Indonesia has a source power of nature which is very large both on land and at sea. Utilization of source power in waters particularly about catching fish in an area must comply with the provisions and regulations that apply, as well as follow procedures like fisheries are responsible, for it required a system that is effective and accurate. System monitoring and surveillance vessel fisheries are generally used in several countries around the world are using the instrument Vessel Monitoring System (VMS). The aim of this paper is to make a based web system that aims to determine the location of catching tuna. System has to be accurate and fast that beneficial for the fishermen who are looking for tuna in the waters of Indonesia. Two methods of machine learning are used in this research. There are Naives Bayes and Support Vector Machine. The results of this paper is a website that serves to determine the location of fishing tuna using the method of Naives Bayes and SVM -Based on Data VMS in the waters of Indonesia. The result shows that the accuracy of SVM is 97. 6 better than that of Naïve Bayes (94.2) in determining the tuna but some area Naïve Bayes is better. |
7,279 | Please write an abstract with title: Generating Electric Field Test Patterns for Electric Grid Resiliency Studies, and key words: Geomagnetic disturbance (GMD), geomagnetically induced currents (GICs), test patterns. Abstract: The world's electric grids are susceptible to geomagnetic phenomenon such as disturbances created by coronal mass ejections (CMEs) from the sun, which create geomagnetically induce currents (GICs) in the systems. It is important to study events such as geomagnetic disturbances (GMDs) to ensure the electric grids' resiliency against such events. In this work, test patterns of time varying electric fields are proposed to assist with the study of GMDs and other electromagnetic phenomena which may affect the stability of the power grids. Formulation of mitigation strategies against electromagnetic events which may cause major grid issues, such as system voltage collapse and transformer overheating is the focus of this work. |
7,280 | Please write an abstract with title: Exploiting EEG Signals for Eye Motion Tracking, and key words: Electroencephalography, Gaze tracking, Software, Cameras, Visualization, Universal Serial Bus, Headphones. Abstract: Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental system that we designed for synchronous recording of electroencephalographic signals, events of external tests and gaze direction. As external tests we used virtual cognitive tests. We investigated the possibility to exploit electroencephalographic signals for eye motion tracking. Our experimental system is a first step for the designing an automatic eye tracking system and can additionally be used as a laboratory equipment for teaching students. |
7,281 | Please write an abstract with title: Fuzzy iterative learning fault tolerant control for batch processes with different types of actuator faults, and key words: Actuators, Sufficient conditions, Batch production systems, Process control, Switches, Fault tolerant control, Storage tanks. Abstract: A new switching control strategy is proposed for nonlinear batch processes with different types of actuator faults. First, the nonlinear batch process is transformed into different equivalent hybrid discrete two-dimensional T-S fuzzy models according to different types of faults, and an iterative learning control law is designed. Then, based on the Lyapunov stability theory, sufficient conditions under different types of fault conditions are given to ensure the system stable, and the corresponding switching signals are designed at the same time. Finally, taking a three-capacity water tank as an example, the experiment verifies the effectiveness of the algorithm. |
7,282 | Please write an abstract with title: Determinación automática de la hidrofobicidad superficial de aleaciones de titanio usando el método de gota sésil basado en procesamiento de imágenes [Not available in English], and key words: Visualization, Microscopy, Graphical user interfaces, Software, Python, Image color analysis, Titanium alloys. Abstract: This paper presents the design and implementation, completely homemade, of an automated system for hydrophobicity studies of materials based on the sessile drop method. This parameter was evaluated from the measurement of the contact angle between the deposited liquid and the surface of the material. For this purpose, software for digital image processing was implemented using Python programming language in conjunction with the OpenCV library. Through various filters and functions, an adequate segmentation of the acquired images was achieved to identify their contours and make it possible to measure the contact angle. The system was validated using titanium alloys with their modified surface, finding a good agreement between the results obtained and those reported in the literature to evaluate their potential application as an implantable metallic biomaterial. |
7,283 | Please write an abstract with title: Heavy Landing Detection and Prediction Based on QAR Data, and key words: Support vector machines, Atmospheric modeling, Predictive models, Prediction algorithms, Real-time systems, Safety, Accidents. Abstract: The approach and landing phase is the high accident phase throughout the flight, and the most typical accident is heavy landing. Heavy landing will not cause too many casualties, but it will cause damage to the aircraft structure and increase flight safety risks. Therefore, this paper uses a clustering algorithm to filter the key parameters in the landing phase, and then combines the Autoregressive Integrated Moving Average Model (ARIMA) with the Support Vector Machine Model (SVM) in series. The former carries out parameter prediction, the latter carries out heavy landing detection to jointly realize the real-time warning of heavy landing. It is of great practical significance to avoid heavy landing events by operation in time in the actual flight process. |
7,284 | Please write an abstract with title: Epitaxial growth of CH(NH<inf>2</inf>)<inf>2</inf>PbI<inf>3</inf> thin films on CH<inf>3</inf>NH<inf>3</inf>PbBr<inf>3</inf> single crystal substrates by vapor phase deposition, and key words: Performance evaluation, Photovoltaic cells, Metals, Crystals, Ions, Optoelectronic devices, Silicon. Abstract: Metal halide perovskites have shown high potential for opto-electronic devices due to their excellent properties: strong light absorption, long carrier lifetime, and moderate mobilities. The power conversion efficiencies of the perovskite solar cells have reached 25.5%, which are comparable to crystalline Si ones. Most of the current perovskite devices are polycrystalline thin films made by spin-coating. To further enhance the performance of perovskite devices, single crystals and epitaxial growth are necessary. Compared with spin-coating, vapor phase deposition has higher controllability. We have been focusing on the epitaxial growth of crystalline all-perovskite heterostructures using physical vapour phase deposition technique. We have tried to grow CH 3 NH 3 PbI 3 thin films on the CH 3 NH 3 PbBr 3 single crystals by co-evaporation of CH 3 NH 3 I and PbI 2 [1] . However, we obtained only Br-rich CH 3 NH 3 Pb(BrI) 3 alloy epitaxial thin films due to the ion inter-diffusion. Recently, the inter-diffusion free CH(NH 2 ) 2 PbI 3 film was reported to be grown on CH 3 NH 3 Pb(BrCl) 3 alloy substrates by solution method [2] . Inspired by this, here we report the vapor phase epitaxial growth of perovskite thin films by changing the organic cations and its effect on the ion inter-diffusion. |
7,285 | Please write an abstract with title: Holographic MIMO for LEO Satellite Communications Aided by Reconfigurable Holographic Surfaces, and key words: Satellites, Low earth orbit satellites, Array signal processing, Satellite communication, Phased arrays, Satellite antennas, Feeds. Abstract: Ultra-dense low-Earth-orbit (LEO) satellite communication networks have significant potential for providing high-speed data services. To compensate the severe path loss in satellite communications, a key conceptual enabler is the holographic multiple input multiple output (HMIMO) with a spatially continuous aperture which can achieve a high directive gain with a small antenna size. In this paper, we consider a novel metamaterial antenna called a reconfigurable holographic surface (RHS) integrated with a user terminal (UT) to support LEO satellite communications. Composing of densely packing sub-wavelength metamaterial elements, the RHS can realize continuous or quasi-continuous apertures and provide a practical way towards the implementation of HMIMO. To obtain the desired beam directions towards the satellites, we propose a LEO satellite tracking scheme based on the temporal variation law such that frequent satellite positioning can be avoided. A holographic beamforming algorithm for sum rate maximization is then developed where a closed-form for the optimal holographic beamformer is derived. The robustness of the algorithm against the tracking errors of the satellites’ positions is also proved. Simulation results verify the theoretical analysis and show that the RHS outperforms the traditional phased array of the same physical dimension in terms of the sum rate when the compact element spacing of the RHS leads to much more RHS elements. Moreover, the RHS also provides a more cost-effective solution for pursuing high data rate compared with the phased array. |
7,286 | Please write an abstract with title: Environmental thinking in higher education: Towards a systemic integration, and key words: Design engineering, Biological system modeling, Education, Knowledge based systems, Market research, Reflection, Sustainable development. Abstract: This research considers emerging approaches of environmental thinking in Higher Education, perceived as a need, but also as a “trend” that leads to versatile orientations impacting both educational goals and curriculum design. As Knowledge is the core of higher education, environmental thinking seems like a complex parameter when considering sustainability-based education interconnections with an inherent knowledge-based economy. Thus, exploring the principles and “models” of environmental thinking and corresponding pedagogical approaches, conceived for an intended “education for sustainability”, should be focused on the divergent intricacies related to needed implementations of linear thinking, cyclical thinking, ecological thinking, and their interrelation with the concept of sustainability and its utility and extensions in designing pedagogical contents. Moreover, observing the constraints related to the actual use of environmental thinking could lead to understanding the various facets of required interdisciplinarity when “modeling” such contents, intended to be “sustainability-centered” and every so often “environment-oriented”, considering desired breadth, assimilations, and reflections on and with other relevant contents. Therefore, systemic integration of environmental thinking as the focused approach of this research envisions the understanding of correlated processes, opportunities, and limitations. The observations of designed pedagogical “situations” and their outcomes paired with generated learning experiences within the interior design engineering programme represent the major conceptual and methodological outline. The deployed quantitative and qualitative methods allied to reflective observations investigate various aspects, indicators, processes, flows, and experiential approaches aiding to modelize a potential viable systemic integration. |
7,287 | Please write an abstract with title: A little bit of knowledge is a dangerous thing [knowledge management], and key words: Knowledge management, Project management, Planning, Technology management, Teamwork, Seminars, Management training, Instruction sets, Technology transfer, Software engineering. Abstract: After studying knowledge management in recent years, wondering if it could help me manage software projects better, I have concluded that indeed it can. To illustrate this point, I list potential knowledge management benefits and drawbacks organized around the classical functions software managers perform. |
7,288 | Please write an abstract with title: Condensed recursive structures for computing multidimensional DCT/IDCT with arbitrary length, and key words: Multidimensional systems, Discrete cosine transforms, Signal processing algorithms, Video compression, Discrete transforms, Computer architecture, Very large scale integration, Large scale integration, Hardware, Random access memory. Abstract: In this paper, efficient recursive structures for computing arbitrary length M-dimensional (M-D) discrete cosine transform (DCT) and its inverse DCT (IDCT) are proposed. The M-D DCT and IDCT are first converted into condensed one-dimensional (1-D) DCT and discrete sine transform (DST) with a regular preprocessing procedure. The recursive filters for condensed 1-D DCT/DST are then derived by using Chebyshev polynomials to compute M-D DCT/IDCT without data transposition. The proposed structures require fewer recursive loops than traditional 1-D recursive structures, which are realized in M passes and (M-1) data transposition by the so-called row-column approach. With advantages of fewer recursive loops and no transposition memory, the proposed structures attain more accurate results and less power consumption than traditional row-column structures. The proposed recursive M-D DCT/IDCT structures are suitable for very large-scale integration implementation due to regular and modular features. |
7,289 | Please write an abstract with title: RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features, and key words: Feature extraction, Training, Data mining, Computer architecture, Roads, Deep learning, Vehicle dynamics. Abstract: Pedestrian crossing prediction is a crucial task for autonomous driving. Numerous studies show that an early estimation of the pedestrian's intention can decrease or even avoid a high percentage of accidents. In this paper, different variations of a deep learning system are proposed to attempt to solve this problem. The proposed models are composed of two parts: a CNN-based feature extractor and an RNN module. All the models were trained and tested on the JAAD dataset. The results obtained indicate that the choice of the features extraction method, the inclusion of additional variables such as pedestrian gaze direction and discrete orientation, and the chosen RNN type have a significant impact on the final performance. |
7,290 | Please write an abstract with title: Stochastic stability for Markovian jump linear systems subject to a crucial failure event, and key words: Stochastic systems, Stability, Linear systems, Stochastic processes, Equations, Infinite horizon, Sufficient conditions, Additive noise, Testing, Matrices. Abstract: This paper is concerned with the stability of discrete-time linear systems subject to random jumps in the parameters, described by an underlying finite-state Markov chain. In the model studied, a stopping time /spl tau//sub /spl Delta// is associated with the occurrence of a "crucial failure" after which the system is brought to a halt for maintenance. The usual stochastic stability concepts and associated results are not indicated, since they are tailored to pure infinite horizon problems. Using the concept named stochastic /spl tau/-stability, equivalent conditions to ensure the stochastic stability of the system until the occurrence of /spl tau//sub /spl Delta// is obtained. In addition, an intermediary and mixed case for which /spl tau/ represents the minimum between the occurrence of a fix number N of failures and the occurrence of a "crucial failure" /spl tau//sub /spl Delta// is also considered. Necessary and sufficient conditions to ensure the stochastic /spl tau/-stability are provided in this setting that are auxiliary to the main result. |
7,291 | Please write an abstract with title: Modeling and Analysis of Seizure Network Using SEEG for Pre-Surgery Evaluation, and key words: Measurement, Analytical models, Biological system modeling, Transfer functions, Surgery, Epilepsy, Brain modeling. Abstract: Over 30% of epilepsy patients are resistant to anti-seizure medication. For these patients, surgery resection remains a promising method to render seizure-free outcome by removing the hypothesized epileptogenic zone (EZ), the areas contributing to seizure generation, onset and early propagation. Stereoelectroencephalography (SEEG), a technique to collect deep brain activities, has become a promising method during pre-surgery evaluation. This paper presents a method to model seizure activities as a network graph using SEEG data collected from a patient with focal seizures. This model characterizes the spatial and temporal progress of ictal events, where network nodes are contact points and edge weights are values of directed transfer function (DTF). A clustering strategy is then employed to group the nodes into different clusters to assist clinicians identify surgery candidate zones. Consistency between our analysis and clinical decision for a case study shows the potential of our method for pre-surgery evaluation. |
7,292 | Please write an abstract with title: Synchronization of Reaction Diffusion Neural Network with Multiple Delays Using Boundary Quantization Control, and key words: Sufficient conditions, Quantization (signal), Delay effects, Neural networks, Delays, Synchronization, Lyapunov methods. Abstract: This paper mainly considers the boundary control for synchronization of reaction-diffusion neural networks with multiple delays. For the purpose of synchronization, the controller needs to be designed. Considering that in real life, the error signal of the system will be quantified before entering the controller, this paper mainly considers boundary quantization control. By using Lyapunov direct method and some inequalities, the sufficient condition for synchronization of reaction-diffusion neural networks are obtained. The last example illustrates the effectiveness of the theory. |
7,293 | Please write an abstract with title: FENet: Fast Real-time Semantic Edge Detection Network, and key words: Semantics, Image edge detection, Robots, Feature extraction, Convolution, Deconvolution, Real-time systems. Abstract: Semantic edge is a geometric-aware semantic feature that can be leveraged in robotic perception systems for increased situational awareness and high-level environment understanding. This sparse representation nicely encapsulates the semantic information (object categories) within the geometric object boundaries. State-of-the-art semantic edge detection approaches require significant computation power and fail to approach real-time performance on embedded devices for robotic applications. In this paper, we present FENet (Fast Realtime Semantic Edge Detection Network), a semantic edge detection approach for robots with Size, Weight, and Power (SWaP) constraints. Specifically, we adopt MobileNetV2 as a lightweight backbone network, and we utilize joint pyramid upsampling to improve the system performance. We further reduce the model complexity and latency through network pruning and multiple upsampling strategies to adapt the model on embedded devices such as NVIDIA Jetson TX2. The proposed method is evaluated on Cityscapes with accuracy performances close to the state-of-the-art methods, but with substantially reduced computational complexity that speeds up the network by a factor of 10. To the best of our knowledge, FENet is the first real-time semantic edge detection network for robotic platforms. |
7,294 | Please write an abstract with title: HGO: Hierarchical Graph Optimization for Accurate, Efficient, and Robust Network Localization, and key words: Optimization, Noise measurement, Image edge detection, Robustness, Distance measurement, Estimation, Smoothing methods. Abstract: Inferring nodes' locations by inter-node measurements is a crucial problem in the IoT era. Despite the various approaches to this problem, obtaining accurate results is still challenging when the measurements are noisy, sparse, or uneven. Such unsatisfactory measurements are, however, inevitable for the general consideration of the deployment cost and the limited sensing scope.This paper proposes a Hierarchical Graph Optimization (HGO) framework to address the network localization problem when the measurements are sparse and noisy. It firstly efficiently extracts the dense sub-graphs and realizes their local structures in local coordinate systems. The local structures of dense components are rather accurate for the local sufficiency of the measurements. Then, the noises of the inter-edges that sparsely connect the dense sub-graphs are found as the main course of the network localization errors. A close-loop condition is derived and two denoising algorithms are proposed to set up linear equation arrays to correct the noises of these critical edges. After that, a projection algorithm is proposed to realize a smoothed backbone graph using the corrected critical edges, and finally, a hierarchical registration method is proposed to register the realized backbone and the dense sub-components to produce the global network structure. A parallel implementation is further developed, which speeds up HGO in large scale networks. Extensive simulations verify that HGO consistently outperforms existing network localization algorithms in terms of accuracy, efficiency, and reliability under various measurement settings. |
7,295 | Please write an abstract with title: An unsupervised algorithm for hyperspectral image segmentation based on the Gaussian mixture model, and key words: Hyperspectral imaging, Image segmentation, Hyperspectral sensors, Clustering algorithms, Pixel, Probability density function, Algorithm design and analysis, Layout, Gaussian distribution, Covariance matrix. Abstract: A new algorithm for hyperspectral image segmentation based on the statistical approach is presented. The algorithm is completely unsupervised and relies only on the spectral information. The hyperspectral image is statistically characterized by means of the Gaussian Mixture Model (GMM). Preliminary results obtained on experimental data are presented and discussed. |
7,296 | Please write an abstract with title: Harnessing IoT for Road Safety: Intelligent Helmets with Ignition Shut-off, and key words: Bike accidents, IoT, MQ3, Road Safety, HC-SR04, DHT11, ESP32. Abstract: In this paper, we propose the design and mathematical theory of an IoT-based mechanism for ignition prevention to tackle hazardous situations prematurely. For the last 7 years, there are almost 3,30,000 road accidents on an average in India. In the year 2020 itself, the two-wheeler accidents accounted for a 35.7% of overall accident figures. The main and utmost reason for this situation includes driving after alcohol consumption, reckless driving and mainly driving without helmet. Multiple sensors are built into the helmet that are tasked with monitoring the preset conditions, which on failure would automatically disengage ignition circuit. The helmet also has a connection to a cloud-based server, which continuously analyses sensor data and, on uncomplying situations, it shuts off the ignition source automatically. The system is constituent of two stations, namely the bike and helmet stations. The bike station is responsible for response and the helmet station is responsible for sensing. This paper affectively describes the logic behind the system mathematically, providing a proved hypothesis on the design. The effectiveness of the system has been evaluated through extensive testing, and the results show that the helmet is able to detect and prevent ignition in a timely and reliable manner. |
7,297 | Please write an abstract with title: Timing-driven placement by grid-warping, and key words: Algorithm design and analysis, Routing, Software algorithms, Timing, Runtime, Scalability, Permission, Deformable models, Degradation, Software design. Abstract: Grid-warping is a recent placement strategy based on a novel physical analogy: rather than move the gates to optimize their location, it elastically deforms a model of the 2-D chip surface on which the gates have been coarsely placed via a standard quadratic solve. In this paper, we introduce a timing-driven grid-warping formulation that incorporates slack-sensitivity-based net weighting. Given inevitable concerns about wirelength and runtime degradation in any timing-driven scheme, we also incorporate a more efficient net model and an integrated local improvement ("rewarping") step. An implementation of these ideas, Warp2, can improve worst-case negative slack by 37% on average, with very modest increases in wirelength and runtime. |
7,298 | Please write an abstract with title: A One-factor Granular Fuzzy Logical Relationship Based Multi-point Ahead Prediction Model, and key words: granular time series, k-medoids algorithm, granular fuzzy logical relationships, multi-point ahead prediction. Abstract: In the existing one-factor high-order fuzzy logical relationship (FLR) based forecasting models, each FLR reflects the influence from the premise trend on the consequent. The consequent of each FLR is related to only one observation at one moment. Therefore, such FLRs are used only in one-point ahead prediction but not multi-point ahead prediction. In order to deal with multi-point ahead prediction, the concept of granular FLRs is proposed in this paper. Each granular FLR reflects the influence on the consequent trend from the premise trend which is described by a granule built on a group of observations. Note that the consequent of each granular FLR is also a granule built on a group of observations. To select the available granular FLRs for forecasting, the k-medoids algorithm is employed to cluster the obtained FLRs. Based on the constructed granular FLRs and the clustering results, a new forecasting model is proposed. The superior performance of this model is illustrated by comparing with the other existing models in the experimental studies. |
7,299 | Please write an abstract with title: Gyrotron Pulse Modulator Test Stand, and key words: Conferences, Modulation, Gyrotrons, Electron tubes, Vacuum electronics, Testing, Diffusion tensor imaging. Abstract: Diversified Technologies, Inc. (DTI) has delivered a new 70 kV pulse modulator test stand to the Ulsan National Institute of Science and Technology (UNIST) in Ulsan, South Korea for full power testing of gyrotron tubes. The output is flat to less than 1% over 100 ps. |
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