ID int64 0 400k | content stringlengths 97 5.85k |
|---|---|
9,300 | Please write an abstract with title: WLEACH-CK: Weighted K-Means Based LEACH-C Algorithm for Cluster Head Selection, and key words: Wireless communication, Wireless sensor networks, Energy consumption, Protocols, Simulation, Clustering algorithms, Energy efficiency. Abstract: Wireless sensor network (WSN) is a kind of big data collecting network with limited energy source. The energy consumption of the sensor nodes influences the performance and life span of the whole system. Thus, an increasing number of research of data collection via WSN is focused on looking for a cluster head (CH) selection method to realize uniform energy consumption. In this paper, we proposed an advanced algorithm based on the Low Energy Adaptive Clustering Hierarchy (LEACH) and its centralized version LEACH-C, named Weighted K-means Based LEACH-C (WLEACH-CK), for energy efficient clustering of sensor nodes in WSN for efficient routing. In the set-up state, base station (BS) calculates the optimum number of CHs. K-means algorithm is used for clustering. The node with lowest weighted communication distance is selected to be the CH, in which the weight is calculated by the ratio of the initial energy and the residual energy. In the steady state, information is transmitted from the non-CH nodes to their CH. After performing data fusion function, the CH transmits information to the BS. We conclude from the simulation results that the energy consumption of each node is well balanced compared to the LEACH and LEACH-CK algorithm. Therefore, the lifetime of the WSNs has been prolonged by the proposed WLEACH-CK. |
9,301 | Please write an abstract with title: MAGMA: a multiagent architecture for metaheuristics, and key words: Computer architecture, Ant colony optimization, Software algorithms, Guidelines, Constraint optimization, NP-hard problem, Computational modeling, Simulated annealing, Evolutionary computation, Scattering. Abstract: In this work, we introduce a multiagent architecture called the MultiAGent Metaheuristic Architecture (MAGMA) conceived as a conceptual and practical framework for metaheuristic algorithms. Metaheuristics can be seen as the result of the interaction among different kinds of agents: The basic architecture contains three levels, each hosting one or more agents. Level-0 agents build solutions, level-1 agents improve solutions, and level-2 agents provide the high level strategy. In this framework, classical metaheuristic algorithms can be smoothly accommodated and extended. The basic three level architecture can be enhanced with the introduction of a fourth level of agents (level-3 agents) coordinating lower level agents. With this additional level, MAGMA can also describe, in a uniform way, cooperative search and, in general, any combination of metaheuristics. We describe the entire architecture, the structure of agents in each level in terms of tuples, and the structure of their coordination as a labeled transition system. We propose this perspective with the aim to achieve a better and clearer understanding of metaheuristics, obtain hybrid algorithms, suggest guidelines for a software engineering-oriented implementation and for didactic purposes. Some specializations of the general architecture will be provided in order to show that existing metaheuristics [e.g., greedy randomized adaptive procedure (GRASP), ant colony optimization (ACO), iterated local search (ILS), memetic algorithms (MAs)] can be easily described in our framework. We describe cooperative search and large neighborhood search (LNS) in the proposed framework exploiting level-3 agents. We show also that a simple hybrid algorithm, called guided restart ILS, can be easily conceived as a combination of existing components in our framework. |
9,302 | Please write an abstract with title: An Opinion Evolution Model Based on the Interaction Behavior and Influence of Microblog Users, and key words: Computational modeling, Social network services, Safety, Software engineering, Rats, Convergence, Internet. Abstract: Opinion evolution is an important method to model the spread and evolution of user opinions in microblogs. Considering the interaction behavior and influence of microblog users, an opinion evolution model is proposed to study the fusion process of opinions. Given a node u in the network, u will be affected by its 1-hop, 2-hop and 3-hop nodes, denoting these nodes by observation range M, and its influence is the influences of the M nodes times their corresponding weights. Meanwhile, the opinion of u is affected by the opinions of the M nodes. Therefore, a feedback mechanism for the influences of the nodes is proposed. Based on the fusion rules, when the opinions of the affected nodes change, the feedback will affect the nodes to change their opinions. Finally, this paper uses scale-free network to simulate, and the experimental results show that the evolution of individual opinions eventually reaches a stable state. |
9,303 | Please write an abstract with title: Online Learning to Precode for FDD Massive MIMO Systems, and key words: Precoding, Conferences, Massive MIMO, Performance gain, Downlink, Numerical simulation, MIMO. Abstract: This paper presents a novel multi-user precoding strategy for frequency-division duplexing massive multiple-input multiple-output downlink systems with rate-limited feedback. Inspired by a multi-armed bandit framework, our approach is to adaptively learn the best precoding action that provides the highest sum-throughput without explicit channel state information feedback. In particular, we present an online learning algorithm to find the best optimal precoding action in a timely manner, called fast upper confidence bound (Fast-UCB) precoding. The key idea is to use a fast-exploration and exploitation with pruning strategies to speed up learning rates in identifying the optimal precoding action. From simulations, we show that the proposed algorithm significantly outperforms the existing online learning algorithms, including the conventional UCB method, in the cumulative regret. In addition, we demonstrate that the Fast-UCB method achieves a higher net sum-throughput than greedy action selection with full-exploration under a short channel coherence time environment, even with much less feedback. |
9,304 | Please write an abstract with title: Design and Performance Evaluation of a Novel Vascular Robotic System for Complex Percutaneous Coronary Interventions, and key words: Performance evaluation, In vivo, Animals, Surgery, Bifurcation, Main-secondary, Lesions. Abstract: The robotic-assisted percutaneous coronary intervention is an emerging technology with great potential to solve the shortcomings of existing treatments. However, the current robotic systems can not manipulate two guidewires or ballons/stents simultaneously for coronary bifurcation lesions. This paper presents VasCure, a novel bio-inspired vascular robotic system, to deliver two guidewires and stents into the main branch and side branch of bifurcation lesions in sequence. The system is designed in master-slave architecture to reduce occupational hazards of radiation exposure and orthopedic injury to interventional surgeons. The slave delivery device has one active roller and two passive rollers to manipulate two interventional devices. The performance of the VasCure was verified by in vitro and in vivo animal experiments. In vitro results showed the robotic system has good accuracy to deliver guidewires and the maximum error is 0.38mm. In an animal experiment, the interventional surgeon delivered two guidewires and balloons to the left circumflex branch and the left anterior descending branch of the pig, which confirmed the feasibility of the vascular robotic system. |
9,305 | Please write an abstract with title: A histogram sensor fusion method for mobile robots, and key words: Histograms, Sensor fusion, Mobile robots, Sonar measurements, Sonar navigation, Optical reflection, Laser noise, Ultrasonic variables measurement, Imaging phantoms, Intelligent sensors. Abstract: We describe a new method for a mobile robot equipped with ultrasonic sensors to construct and maintain a map of the environment for the purpose of obstacle avoidance and navigation. A new sonar model is given, which is a simplified Gaussian model for the sake of computing time. Furthermore, incidence angle information of sonar is combined with the range measurement to construct a two-dimensional histogram grid. The histogram grid shows a quick and accurate mapping. At the same time, with the incidence angle information, the method exhibits a good performance in solving the problem of door-finding and reducing phantom targets. Finally, the map-building system is experimentally evaluated in the real environment. |
9,306 | Please write an abstract with title: Feature Selection Criteria for Clustering Based on Support Vectors, and key words: Support vector machines, Statistical analysis, Shape, Conferences, Clustering algorithms, Feature extraction, Task analysis. Abstract: Existing feature selection for clustering task usually relies on some statistical methods or some clustering quality evaluation, both of which need an assumption of data distribution. That heavily affects the generalization ability of feature selection in applications. This paper proposes feature selection criteria derived from support vector technique to address this problem. Firstly the least power support vector clustering (LPSVC) is presented. Based on products of LPSVC, an institutive criterion and a derivative criterion are proposed. These two LPSVC-based criteria keep data distribution shape as much as possible after features are removed. And they are equipped with selection algorithm to discard unimportant features. Empirical evidence suggests the proposed criteria are of fine quality. |
9,307 | Please write an abstract with title: Distributionally Robust Frequency Constrained Scheduling for an Integrated Electricity-Gas System, and key words: Uncertainty, Wind power generation, Stochastic processes, Generators, Pipelines, Power systems, Programming. Abstract: Power systems are shifted from conventional bulk generation toward renewable generation. This trend leads to the frequency security problem due to the decline of system inertia. On the other hand, natural gas-fired units are frequently scheduled to provide operational flexibility due to their fast adjustment ability. The interdependence between the power system and natural gas system is thus intensified. In this context, this paper considers the frequency constrained scheduling problem from the perspective of an integrated electricity-gas system under wind power uncertainty. A distributionally robust (DR) joint chance-constrained optimization model is proposed to co-optimize the unit commitment and virtual inertia provision from wind farm systems. This model incorporates both frequency constraints and natural gas system (NGS) operational constraints and addresses the wind power uncertainty by designing DR joint chance constraints. It is shown that this model admits a mixed-integer second-order cone programming. Case studies demonstrate that the proposed method can provide a highly reliable and computationally efficient solution and show the importance of incorporating NGS operational constraints in the frequency constrained scheduling problem. |
9,308 | Please write an abstract with title: New digital signal-Processing approach for transmitter measurements in third generation Telecommunications systems, and key words: Signal generators, Multiaccess communication, Testing, Radio transmitters, Time frequency analysis, Instruments, Time measurement, Manufacturing, Signal analysis, GSM. Abstract: The rapid growth of third generation (3G) telecommunications systems has created the need for getting new test equipment as well as getting measurement techniques up and running in a very short time. Trying to satisfy this exigency, a new measurement method for testing 3G transmitters is proposed here. Thanks to the use of time-frequency distributions, the method provides a unified approach for carrying out, automatically and in a very straightforward manner, most measurements needed to fulfill the aforementioned task. After a brief outline of 3G technology basics, some details concerning transmitter tests are given. The fundamental steps of the proposed method are then described with references to a clarifying example, also highlighting advantages with respect to other measurement solutions. At the end, the performance of the method is assessed by means of several experiments on both simulated and emulated signals. |
9,309 | Please write an abstract with title: Vector Potential Dyadic Green’s Function and Normal Modes in Cavity of Arbitrary Shape, and key words: Shape, Surface waves, Meetings, Integral equations, Green's function methods, Antennas. Abstract: A semi-analytical approach for rapid calculation of the vector potential normal modes and dyadic Green's function inside the cavity of irregular shape over a broad range of frequency is presented. The method is based on the extraction of the Green's function at an imaginary wave number from itself to obtain a rapidly convergent hybrid spatial-spectral expansion of the Green's function. The extracted term encompasses the singularity of the Green's function and is computed using surface integral equation. The method is applied to a V-grooved cavity to obtain the vector potential Green's function inside the cavity. |
9,310 | Please write an abstract with title: Energy-Efficient Thread-Level Speculation, and key words: Energy efficiency, Hardware, Out of order, Energy consumption, Engines, Runtime, Design optimization, Process design, Microarchitecture, Parallel processing. Abstract: Chip multiprocessors with thread-level speculation have become the subject of intense research, this article refutes the claim that such a design is necessarily too energy inefficient. In addition, it proposes out-of-order task spawning to exploit more sources of speculative task-level parallelism |
9,311 | Please write an abstract with title: PET Denoising and Uncertainty Estimation Based on NVAE Model, and key words: Training, Uncertainty, Noise reduction, Neural networks, Measurement uncertainty, Training data, Brain modeling. Abstract: The structure of the deep neural network is constantly changing, and its performance is constantly breaking through. Recently, a new network, Nouveau variational auto-encoder (NVAE), has been proposed and gained great attention. In addition to the ability to generate high-quality images, the more important nature of NVAE is that it can generate a distribution that makes it possible to measure the uncertainty. In this work, we proposed to use NVAE for PET image denoising and estimate the uncertainty from both training data and model at the same time. 2.5D training based on 28 patients was performed and quantification based on 7 real patient data showed that NVAE has a good performance for PET denoising, which outperforms the Unet. The variance of 1000 sample output was calculated to show the uncertainty map. |
9,312 | Please write an abstract with title: A Microprocessor Based Wave and Tide Recorder for Use on the Continental Shelf, and key words: Microprocessors, Tides, Batteries, Microcomputers, Clocks, Pressure control, Hardware, Printed circuits, Temperature sensors, Switches. Abstract: In order to monitor ocean conditions over periods of up to six months without servicing, in areas where buoys are undesirable, a bottom anchored wave and tide recorder has been developed and deployed by ENDECO, INC. The design criteria includes the need for a self-contained power source and data storage capacity sufficient for the deployment period, while providing a high measurement resolution. This paper will discuss requirements directing the design of the wave and tide recorder, containing a complementary-metal-oxide-semiconductor (CMOS) microcomputer and associated components. Future plans for this and other similar systems are also considered. |
9,313 | Please write an abstract with title: Comparing Customer Trust in Virtual Salespersons With Customer Trust in Human Salespersons, and key words: Humans, Business, Physics computing, Customer relationship management, Protocols, Internet, Intelligent agent, Embedded computing, Decision making, Electronic commerce. Abstract: Virtual salespersons (computer agents) act in a similar role in online stores as human salespersons act in physical stores. Customer trust in a salesperson is key in generating transactions and managing customer relationships. In this exploratory study, 44 participants used the services of both virtual and human salespersons in the same commercial store. Written protocols were collected by asking the participants open-ended questions regarding their comparative trust. This paper finds that similar to trust in a human salesperson, trust in a virtual salesperson contains trust in competence, benevolence, and integrity; however, the formation processes of trust in virtual salespersons, trust in human salespersons, distrust in virtual salespersons, and distrust in human salespersons are different. This paper theoretically outlines to what extent research on trust in computer agents can draw from literature on interpersonal trust. It practically contributes to our understanding of how to better design trustworthy virtual salespersons. |
9,314 | Please write an abstract with title: 10-Gbit/s operation of electroabsorption modulator integrated with distributed Bragg reflector laser, and key words: Distributed Bragg reflectors, Laser tuning, Distributed feedback devices, Chirp modulation, Optical transmitters, Wavelength division multiplexing, Laser feedback, Waveguide lasers, Laser theory, Bandwidth. Abstract: We report the 10-Gbit/s operation of electroabsorption modulator integrated with a distributed Bragg reflector (DBR) laser. Its small signal 3-dB bandwidth was measured 6.5 GHz, and clear eye opening was obtained with 10-Gbit/s NRZ modulation. |
9,315 | Please write an abstract with title: Deep Reinforcement Learning Multi-UAV Trajectory Control for Target Tracking, and key words: Target tracking, Unmanned aerial vehicles, Reinforcement learning, Navigation, Location awareness, Time measurement, State estimation. Abstract: In this article, we propose a novel deep reinforcement learning (DRL) approach for controlling multiple unmanned aerial vehicles (UAVs) with the ultimate purpose of tracking multiple first responders (FRs) in challenging 3-D environments in the presence of obstacles and occlusions. We assume that the UAVs receive noisy distance measurements from the FRs which are of two types, i.e., Line of Sight (LoS) and non-LoS (NLoS) measurements and which are used by the UAV agents in order to estimate the state (i.e., position) of the FRs. Subsequently, the proposed DRL-based controller selects the optimal joint control actions according to the Cramér–Rao lower bound (CRLB) of the joint measurement likelihood function to achieve high tracking performance. Specifically, the optimal UAV control actions are quantified by the proposed reward function, which considers both the CRLB of the entire system and each UAV’s individual contribution to the system, called global reward and difference reward, respectively. Since the UAVs take actions that reduce the CRLB of the entire system, tracking accuracy is improved by ensuring the reception of high quality LoS measurements with high probability. Our simulation results show that the proposed DRL-based UAV controller provides a highly accurate target tracking solution with a very low runtime cost. |
9,316 | Please write an abstract with title: Pathwise observability through arithmetic progressions and non-pathological sampling, and key words: Observability, Arithmetic, Sampling methods, Sufficient conditions, Linear systems, Controllability, Switches, Electric variables measurement, Equations, Sensor systems. Abstract: We consider the problem of establishing pathwise observability for a class of switched linear systems with constant, autonomous dynamics, but with switched measurement equations. Using Van der Waerden's theorem, a standard result in Ramsey theory, we give a sufficient condition on the components of the system for it to be pathwise observable. This first result then enables us to extend the KaIman-Bertram criterion, which concerns the conservation of observability after the introduction of sampling, to switched linear systems. We then dualize these results to pathwise controllability. |
9,317 | Please write an abstract with title: Utilization of radiometric methods of antenna parameters measurements in millimeter wave band, and key words: Millimeter wave measurements, Antenna measurements, Millimeter wave technology, Microwave radiometry, Receiving antennas, Microwave antennas, Remote sensing, Frequency, Scattering, Microwave theory and techniques. Abstract: At creation of microwave radiometric systems intended for remote sensing applications detailed estimation of antenna properties regarding the values of loss factor and beam efficiency is one of actual metrological tasks. Similar researches have especial meaning in millimeter-wave band at creation of high-gain single-beam or multi-beam antenna systems, because at that frequency band receivers aren't capable provide yet low-noise inputs and thus realized antenna parameters substantially depend on radiometric remote sensing system final quality on the whole. When antenna loss level and beam efficiency (beam scattering rate) are estimated in microwaves, wellknown radiometric methods of measurements can be used as a main technique, that based on consecutive radio brightness temperature registration for distributed radiation sources "covering" receiving radiometric system together with antenna in complete solid angle 4/spl pi/, and also the sources overlapping main beam footprint and placed in far, or near field zone. Clear sky thermal radiation from zenith observation angles can be used as wide-band natural isotropic noise source. In this case, measurements need to be carrying out in some specific conditions on open area that must be chosen from requirements of absence of shadings from external constructions (for example, on a roof of a building), that is difficult enough guarantee during researches, taking into account corresponding complexity of the works and time-dependent meteorological situation (clouds, wind, precipitation). The problem of high functional quality realization for scanning multibeam antenna, in main for its loss factor and beam efficiency, has made the important component of the researches carrying out at W-band radiometric system design intended for customs service applications. |
9,318 | Please write an abstract with title: Automation of software avionics verification in accordance with DO-178C standard, and key words: Documentation, Human factors, Software, Time measurement, Software measurement, Task analysis, Information technology. Abstract: The article discusses the testing processes within the framework of software verification with increased requirements for criticality. A software platform developed for generating integration test data and accompanying documentation in accordance with the aviation standard DO-178C is proposed. The software platform during testing showed high efficiency, its use will significantly simplify and speed up the testing process. Testing schemes and results of software platform experimental studies are presented. |
9,319 | Please write an abstract with title: A method for denoising of DC test signal, and key words: Noise reduction, Testing, Low voltage, Inspection, Switchgear, Electromagnetic fields, Electromagnetic interference, Electromagnetic measurements, Signal processing, Signal analysis. Abstract: In low voltage electrical apparatus inspection direct current test, the test signal has an abrupt changing structure because of operation of opening or closing of switchgear. Affected by strong electromagnetic field, experiment signal carries noise on testing spot. For accurate measurement test signal must be processed before analyzing its parameter. In this paper, a filter technique, wavelet shrinkage or soft threshold method that was based on wavelet transform, was introduced. Experiment results show that signal de-noising is carried out without smoothing out the over voltage, over current sharp structures. |
9,320 | Please write an abstract with title: Structural analysis of a one-port formed by a resistively coupled nonlinear ring, and key words: Couplings, Resistors, Capacitors, Soldering, Iron, Cellular neural networks, Jacobian matrices, Ear, Ring oscillators, Inductors. Abstract: By opening the capacitors of a dynamic 1-dimensional (1D) ring, constituted by dynamic nonlinear cells coupled by linear resistors, we obtained the associated resistive ring. Aim of this paper is to study the structural properties of the one-port defined by soldering iron entry two appropriate terminals to the associated resistive rings. The related v-i characteristic presents an interesting behavior when a linear resistance of the ring, acting as a parameter, varies, showing that the one-port becomes structurally unstable for a particular value of this parameter. |
9,321 | Please write an abstract with title: A Multi-Mode Vortex Beams Generator Based on Reconfigurable Reflective Metasurface, and key words: Wireless communication, Quantization (signal), Simulation, Electromagnetic scattering, Metasurfaces, Generators, Orbits. Abstract: In this paper, a multi-mode OAM beams generator based on reconfigurable reflective metasurface is proposed. The designed reconfigurable reflective metasurface consists of reconfigurable units loaded with diode, which achieve 180 degrees phase difference through diode on and off. By controlling the on-off of diodes on metasurface units to achieve different phase arrangements, OAM beams with multi-mode are obtained. The simulation results verify the feasibility of this design. |
9,322 | Please write an abstract with title: A Colored Petri Net Model for Control Problem of Border Crossing Under Constraints, and key words: Petri nets, Europe, System recovery, Rail transportation, Behavioral sciences, System software, Safety. Abstract: In this paper, we consider the European Rail Traffic Management System (ERTMS) as a System-of-Systems (SoS) and propose modeling it using colored Petri nets. We formally control the European rail transport, while guaranteeing a set of cross-border security properties. This becomes an essential and challenging task since each of them have mainly developed safety and trackside rules regardless of its neighbors. The feature of this work lies in the approach that considers ERTMS Level 2 as an SoS and addresses the cross-border railway as a mode management problem. In addition, the aspects of mode activation/deactivation, starting state and handling of resource states common to multiple operating modes are taken into account in the proposed model. |
9,323 | Please write an abstract with title: Impact of the Synergy Between Technology Management and Technological Capability on New Product Development: A System Dynamics Approach, and key words: Technology management, Information resources, System dynamics, Organizations, Product development, Modeling, Research and development. Abstract: This paper employs system dynamics to explore how the synergy between technology management and technological capability affects new product development. The results show that the synergy between technology management and technological capability has positive impact on new product development. Moreover, the leading synergy processes between technology management and technological capability in different new product development stages are different. This paper deepens the theoretical understanding of how to achieve new product development, and also provides useful guidance for firms to implement new product development. |
9,324 | Please write an abstract with title: Hypergraph-Based Model for Coexistence Management of Heterogeneous Wireless Networks, and key words: Wireless networks, Interference, White spaces, Channel allocation, Media Access Protocol, Graph theory, Load modeling. Abstract: Traditional graph theory is typically used to model interference relations among networks to realise channel assignment that enables improvement in spectrum utilisation through spatial re-use of the channels. Studies have shown that spectrum utilisation could be further improved through co-sharing among networks that are capable of spectral coexistence as long as the channel load is not excessive. The co-sharing networks use their inherent media access control (MAC) techniques to coordinate access to a shared channel. However, the concept of an edge in a traditional graph, which is a two-element subset, is not sufficient to model subsets of potential co-sharing networks because such subsets may have cardinality of greater than 2. Instead, this paper proposes use of hypergraph theory to model the co-sharing strategy in an environment that comprises heterogeneous radio systems. The model could be applied in centralised coexistence management frameworks such as IEEE 802.19.1-based systems. Results demonstrate that spectrum sharing using the hypergraph model achieves higher average spectrum utilisation by up to 17.5% when there are 3 available channels, and requires up to 7 fewer channels to achieve, on average, 100% operational networks than spatial re-use alone. |
9,325 | Please write an abstract with title: Coupling impedances for corrugated beam pipes from impedance boundary conditions, and key words: Impedance, Optical coupling, Boundary conditions, Conductors, Geometry, Integral equations, Particle beams, Design optimization, Boundary value problems, Electromagnetic analysis. Abstract: An equivalent wall impedance describing the electromagnetic boundary conditions at corrugated pipe walls is introduced in the context of a general perturbative approach for computing the longitudinal and transverse beam coupling impedances in complex heterogeneous pipes. |
9,326 | Please write an abstract with title: Boundary integral equations of minimum order for the calculation of three-dimensional eddy current problems, and key words: Integral equations, Eddy currents, Boundary value problems, Magnetic separation, Application software, Electromagnetic diffraction, Conductors, Coils, Magnetic fields, Electromagnetic scattering. Abstract: A three-dimensional eddy current problem is formulated as a boundary value problem for electric and magnetic strengths. Some peculiarities of this boundary value problem are emphasized. The most important of them is the possibility to split this boundary value problem into two boundary value problems which can be solved in succession one after another: 1) the boundary value problem for the magnetic strength in the whole space and 2) the boundary value problem for the electric strength in outer air space. From the practical point of view it is enough to find the solution only of the first boundary value problem. The principle of separate surface imaginary sources is proposed for the solution of this boundary value problem and the boundary integral equations for the densities of these surface sources are derived, These integral equations are of minimum order. |
9,327 | Please write an abstract with title: Multi-hop networking with relaying capacity for cellular mobile systems, and key words: Spread spectrum communication, Relays, Cellular networks, Base stations, Laboratories, Mobile communication, Reliability engineering, Telecommunication network reliability, Process design. Abstract: In a cellular system with multi-hop networking, a mobile node is connected to a base station by relaying capability of other mobile nodes even though this node has no direct link to the base station. In order to guarantee reliability in cell design, we need to estimate the degree of cell extension considering some factors such as mobility characteristics and relaying capacity of relay nodes. This paper investigates how to estimate the degree of cell extension considering both mobility and capacity. |
9,328 | Please write an abstract with title: Dynamic Multi-agent OpenADR Virtual Nodes for Distributed Demand Response Schemes, and key words: Load management, Reliability engineering, Propagation losses, Real-time systems, Smart grids, Standards, Power generation. Abstract: Demand Response (DR) has been described as one of the few solutions available for accessing the untapped energy potential of small/medium customers and especially of prosumers, towards supporting grid and DR reliability to a smart distribution grid. Investing on that notion, this manuscript employs virtual power plant (VPP) principles to deliver a novel, distributed, multi-agent virtual node scheme that aggregates consumers and prosumers and handles automatically OpenADR compliant DR requests. The introduced virtual node can act both as a virtual end node (VEN) receiving signals from a higher level (i.e., aggregator or utility) and/or as a virtual top node (VTN), dispatching optimal DR requests to customers. The proposed framework increases the DR results by not only optimally exploiting aggregated flexibility, but also through a dynamic bi-directional DR matchmaking process that can either recover monitored deviations within the virtual node (intra), or in-between nodes (inter) in real-time operation. The proposed design aims to elevate DR effectiveness, while enabling the participation of small to medium customers to energy markets. |
9,329 | Please write an abstract with title: Optimal multi-class job scheduling on a single machine with sequence-dependent set-up and variable processing times, and key words: Single machine scheduling, Job shop scheduling, Optimal scheduling, Cost function, Switches, Optimal control, Manufacturing systems. Abstract: The scheduling of jobs belonging to different classes over a single machine is considered in this paper. The processing time of any job of a given class is a continuous variable whose value ranges from a lower bound up to a higher bound, corresponding to the nominal processing time. The switch from a job of a class to a job of another class requires a sequence-dependent set-up. The cost function to be minimized in the scheduling problem takes into account the overall job tardiness, the sum of the costs due to the deviation of the actual processing time from the nominal value, and the set-up costs. The decision variables are those concerning job sequencing and execution times. In the paper, a solution to this problem - in terms of optimal control strategies s provided. |
9,330 | Please write an abstract with title: Drowsiness Detection with Wireless, User-Generic, Dry Electrode Ear EEG, and key words: Support vector machines, Electrodes, Wireless communication, Training, Scalp, Employment, Ear. Abstract: Drowsiness monitoring can reduce workplace and driving accidents. To enable a discreet device for drowsiness monitoring and detection, this work presents a drowsiness user-study with an in-ear EEG system, which uses two user-generic, dry electrode earpieces and a wireless interface for streaming data. Twenty-one drowsiness trials were recorded across five human users and drowsiness detection was implemented with three classifier models: logistic regression, support vector machine (SVM), and random forest. To estimate drowsiness detection performance across usage scenarios, these classifiers were validated with user-specific, leave-one-trial-out, and leave-one-user-out training. To our knowledge, this is the first wireless, multi-channel, dry electrode in-ear EEG to be used for drowsiness monitoring. With user-specific training, a SVM achieved a detection accuracy of 95.9%. When evaluating a never-before-seen user, a similar SVM achieved a 94.5% accuracy, comparable to the best performing state-of-the-art wet electrode in-ear and scalp EEG systems. |
9,331 | Please write an abstract with title: An FPGA-Based Vision Prosthesis Prototype: Implementing an Efficient Multiplexing Method for Addressing Electrodes, and key words: Prosthetics, Prototypes, Electrodes, Circuit testing, Logic testing, Programmable logic arrays, Neural prosthesis, Protocols, System testing, Field programmable analog arrays. Abstract: A prototype of an epi-retinal vision prosthesis based upon an efficient electrode addressing schema has been developed. This system has the ability to stimulate multiple electrode regions simultaneously, hence greatly improving the maximum rate of stimulation compared to many currently available neural stimulation devices based on serial stimulation protocols. To minimize the problem of cross talk between stimulating electrodes, a hexagon layout of electrodes was implemented. Basic tests were completed using a field programmable gate array logic system driving analogue circuitry to inject current into physiological saline via electrodes in hexagon arrangements and in a simple paired arrangement. The hexagon layout of electrodes was shown to clearly reduce the interaction between multiple current sources and hence cross talk |
9,332 | Please write an abstract with title: Fast-robust book information extraction system for automated intelligence library, and key words: Image recognition, Ultraviolet sources, Object detection, Back, Information retrieval, Robustness, Classification algorithms. Abstract: At present, in the large-scale book management scene, book sorting, daily maintenance and book retrieval are very common, but the book information is complicated and the efficiency of relying on manual management is extremely poor. Although there have been many self-service book systems based on optics or vision, they are mostly based on traditional computer vision algorithms such as boundary extraction. Due to the fact that there are more artificial experience thresholds, some shortcomings such as low detection accuracy, poor robustness, and inability to systematically deploy on a large scale, which lack of insufficient intelligence. Therefore, we proposed a book information extraction algorithm based on object detection and optical character recognition (OCR) that is suitable for multiple book information recognition, multiple book image angles and multiple book postures. It can be applied to scenes such as book sorting, bookshelf management and book retrieval. The system we designed includes the classification of book covers and back covers, the classification of books upright and inverted, the detection of book pages side and spine side, the recognition of book pricing. In terms of accuracy, the classification accuracy of the front cover and the back cover is 99.9%, the upright classification accuracy of book front covers is 98.8%, the back cover reaches 99.9%, the accuracy of book price recognition get 94.5%, and the book spine/page side detection mAP reaches 99.6%; in terms of detection speed, Yolov5 detection model was improved and the statistical-based pre-pruning strategy was adopted, support by our algorithm the system reaches 2.09 FPS in book price recognition, which improves the detection speed to meet actual needs. |
9,333 | Please write an abstract with title: WIFE: WiFi Architecture for Ferrara Campus, and key words: Roaming, Wireless networks, Scalability, Hardware, Privacy, Communication system traffic control, Network address translation, Wireless LAN, Costs, Spread spectrum communication. Abstract: A WiFi network structure based on the extensive use of three levels of NAT is introduced. Such a system has been designed to avoid complex or proprietary roaming strategies and to keep very simple the system setup and configuration. Design constraints are related to the system scalability, to the transparency with respect to the actual in service network, to the possibility of offering location based service and to simply support mobility and in general access point handover. The proposed system has been implemented in the University of Ferrara campus and it is actually running. Some results regarding the first period user penetration and the system effectiveness are shown. |
9,334 | Please write an abstract with title: Analytical Model Development for Channel Potential in Junction-less Double-Gate FETs, and key words: Laplace equations, Doping, Tools, Semiconductor process modeling, Numerical models, Mathematical model, Physics. Abstract: An analytical-model for potential- distribution in channel region of Junctionless-Double-Gate FETs by considering Gaussian-like vertical doping is introduced in this manuscript. To calculate the channel-potential distribution in the channel region, the two-dimensional Poisson’s-equation is derived by including the evanescent kind technique. The channel conduction-path position also been modelled to derive the channel-potential at various points in the channel conduction route. The channel potential considered to be the addition of the conventional device potential obtained by Poisson’s solution and the potential function calculated by Laplace equation. The strength of the developed model is verified by relating with physics based arithmetic simulation results attained by commercially accessible ATLAS TCAD tool and found in good agreement. |
9,335 | Please write an abstract with title: Sensitivity Analysis of Influencing Factors on Mould Surface Deformation of Resin Matrix Composites by Autoclave Moulding, and key words: Temperature sensors, Temperature distribution, Sensitivity analysis, Vents, Resists, Ventilation, Rigidity. Abstract: In this paper, the reasonable determination of mould design parameters for the autoclave moulding method of fiber reinforced resin matrix composites is discussed. By comparing the influence of two design parameters of mould surface thickness and ventilation opening rate on the mould surface deformation in the working process, it is concluded that the influence of increasing the mould surface thickness on the mould working deformation is greater than that of reducing the ventilation opening rate on the mould deformation. In order to ensure the required rigidity of the mould, sufficient mould surface thickness should be designed. |
9,336 | Please write an abstract with title: A hybrid statistical/linguistic approach to headline generation, and key words: Hybrid power systems, Machine learning, Learning systems, Information retrieval, Computer science, Educational institutions, Electronic mail, Statistical learning, Computational linguistics, Statistics. Abstract: In this paper, we present the HybridTrim system, which uses a machine learning technique to combine linguistic, statistical and positional information to identify topic labels for headlines in a text. We compare our system with the Topiary system which, in contrast, uses a statistical learning approach to finding topic descriptors for headlines. Both of these systems combine these topic descriptors with a compressed version of the lead sentence. The performance of these systems is evaluated using the ROUGE evaluation suite on the DUC 2004 news stories collection. |
9,337 | Please write an abstract with title: On multiple point coverage in wireless sensor networks, and key words: Intelligent networks, Wireless sensor networks, Linear programming, Algorithm design and analysis, Analytical models, Switches, Performance analysis, Computer science, Computer networks, Neodymium. Abstract: We consider a wireless sensor network consisting of a set of sensors deployed randomly. A point in the monitored area is covered if it is within the sensing range of a sensor. In some applications, when the network is sufficiently dense, area coverage can be approximated by guaranteeing point coverage. In this case, all the points of wireless devices could be used to represent the whole area, and the working sensors are supposed to cover all the sensors. Many applications related to security and reliability require guaranteed k-coverage of the area at all times. In this paper, we formalize the k-(connected) coverage set (k-CCSlk-CS) problems, develop a linear programming algorithm, and design two non-global solutions for them. Some theoretical analysis is also provided followed by simulation results |
9,338 | Please write an abstract with title: Modified temperature rise estimation method for switching transistors in electronic ballasts, and key words: Electronic ballasts, Switches, Voltage, Heat transfer, Power generation, Temperature measurement, Switching loss, Bridge circuits, Circuit topology, Steady-state. Abstract: The self-resonance half bridge and push-pull are two of the most commonly utilized circuit topologies for electronic ballasts. In these applications, transistors are used as a switch and generate some power loss. This causes the temperature to rise on transistors. In this paper, a modified temperature rise calculation technique on TO 220 type transistors is introduced in steady state analysis for more accurate estimation, thus eliminating time-intensive testing. To verify the technique, two different electronic ballasts were tested. The results of this paper show that the actual temperature measurements were approximately the same as those calculated using the modified technique. |
9,339 | Please write an abstract with title: Corruptibility Profile of Logic Locked Circuits for SAT Attacks with Execution Time Budgets, and key words: Measurement, Closed-form solutions, Circuits and systems, Current measurement, Conferences, Probabilistic logic, Probability distribution. Abstract: In addition to attack resilience, the corruptibility of the outputs is another important metric evaluating the security of a logic locked circuit. The current practice is to evaluate and report the corruptibility for the scenario where an attacker randomly selects a key pattern without first performing any attack to narrow the key space. However, the measured corruptibility potentially changes rapidly after some initial effort by the attacker. Consequently, a probabilistic framework is proposed to characterize and report the expected output corruptibility as a function of the set constraints, specifically the budget b (number of attack iterations), in computational effort for a satisfiability (SAT) attack. Closed-form expressions of the mean and the probability distribution of the output corruptibility produced by two logic locking techniques (SARLock and TTLock) are derived and compared. The mean of the output corruptibility for SARLock is $\displaystyle \frac{(\rho-1-b)}{(\rho-b)\rho}$ and that of TTLock is $\displaystyle \frac{2(\rho-1-b)}{\rho^{2}}$, where $\rho=2^{\text{keysize}}$. The results indicate that TTLock outperforms SARLock when the SAT attack iteration budget is less than the break even point of $\rho/2$, while SARLock provides greater output corruptibility above the break even point. |
9,340 | Please write an abstract with title: Strain/Displacement Field Reconstruction and Load Identification of High-Speed Train Load-Bearing Structure Based on Linear Superposition Method, and key words: Strain, Sensors, Strain measurement, Manganese, Image reconstruction, Vibrations, Reconstruction algorithms. Abstract: Real-time online reconstruction of strain/ displacement fields of critical load-bearing structures of high-speed trains (such as crossbeams and bogies) has been a challenging task because the complexity of load and geometry of load-bearing structures not only limits the layout of sensors but also affects the real-time structural 3-D reconstruction. In this article, a strain/displacement field reconstruction and load identification method based on linear superposition is proposed, and the strain and displacement fields are reconstructed according to the strain thresholds that can be updated in real time using the experimental strains obtained from fiber Bragg grating (FBG) sensors and simulated strains stored offline. The proposed method of reconstruction is numerically validated through the finite-element analysis, the effect of sensor location and number on reconstruction error is analyzed, and the balance between the number of sensors and reconstruction efficiency is discussed from the perspective of computational time. Besides, the method is experimentally evaluated on an aluminum alloy crossbeam, while the strain and deformation of the crossbeam under load are reconstructed in real time. Moreover, the magnitude and location of load are identified using strain thresholds on the structure to demonstrate the effectiveness and real-time performance of the reconstruction method in practice. |
9,341 | Please write an abstract with title: Investigating Instabilities of Plasma Bubbles In A Background Magnetized Plasma, and key words: Spectroscopy, Magnetohydrodynamics, Temperature, Magnetic resonance imaging, Force, Plasmas, Magnetic fields. Abstract: The plasma bubble expansion experiment (PBEX) at the University of New Mexico exploits a compact coaxial plasma gun to launch a hot and dense plasma into a background low temperature and density in linear Helicon plasma in order to investigate the relaxation dynamics of the interaction of two such magnetized plasmas. Due to the frozen-in property of ideal MHD theory, the gun plasma carries magnetic field lines with it. These field lines eventually reconnect behind the plasma forming a self-closed spheromak. When the dense gun plasma drags the frozen-in magnetic field lines into the background magnetized plasma, the self-organized spheromak is deformed due to the magnetic tension force. This results in dynamics that are significantly more complex than spheromak relaxation in vacuum. For example, Magneto Rayleigh-Taylor (MRT) instability is observed, which appears to develop into finger like structures which then experience Kevin-Helmholtz instability. Magnetic B-dot probe arrays, triple Langmuir probes, visible spectroscopy, and fast multiframe imaging are used to characterize density, temperature, and B-field dynamics of the plasma bubble relaxation.. In addition, the preliminary simulations of PBEX using an extended MHD (XMHD) code, and comparisons with experimental data, will be presented . |
9,342 | Please write an abstract with title: Excitation of bright and dark gap solitons in a negative index material, and key words: Solitons, Frequency, USA Councils, Weapons, Missiles, Magnetic materials, Slabs, Magnetic susceptibility, Permeability, Fabry-Perot. Abstract: We predict the existence of bright and dark gap solitons in a slab of negative index material as a result of the interplay between the linear dispersive properties and the effect of a cubic nonlinearity. |
9,343 | Please write an abstract with title: Development of a THz gyrotron using a pulse magnet, and key words: Gyrotrons, Frequency, Coils, Pulsed power supplies, System testing, Pulse amplifiers, Magnetic fields, Finite impulse response filter, Power generation, Mercury (metals). Abstract: An ultra-high frequency gyrotron is being developed by using a pulse magnet. We have achieved the highest field intensity of 20.2 T. High frequency operation at the second harmonic will achieve 1.01 THz. Corresponding cavity mode is TE/sub 6,11,1/. The results of the first trial for a THz gyrotron are presented. |
9,344 | Please write an abstract with title: Performance comparison of DC-DC Converters for Photovoltaic System, and key words: Photovoltaic systems, Maximum power point trackers, Radiation effects, Conferences, Atmospheric modeling, DC-DC power converters, Power electronics. Abstract: The maximum power point tracking techniques are used to fully exploit the power output of the photovoltaic panel. This power always varies with the Photovoltaic solar irradiation and the atmospheric temperature. However, with the progress of power electronic equipment, solar panels may now be operated at their maximum power point, increasing total Photovoltaic system efficiency. Simple and Quadratic boost converters are simulated and the results are compared in this study. Then, the MPPT technique based on Incremental Conductance is proposed to improve the efficiency of the Photovoltaic system. For dynamic solar irradiance and temperature, the suggested technique's performance is simulated using MATLAB/Simulink. The analysis is based on two systems that use different DC-DC converters. |
9,345 | Please write an abstract with title: Land Use Data In The Middle Maule River Sub-Basin: Classification And Comparison Between 1999 And 2019, and key words: Forestry, Soil, Earth, Remote sensing, Artificial satellites, Agriculture, Rivers, Climate change. Abstract: The use of satellite images is a modern strategy for the evaluation and prediction of various weather scenarios. In addition, this is a key tool for the development of environmental sciences. Since the end of the last decade, Chile has been suffering from a megadrought associated with climate change. In this context, this study proposes to evaluate the role of land use change in the Middle Maule River sub-basin, located in the Maule Region, Chile. This is an important sector characterized by a significant agricultural and hydroelectric contribution. To do so, this study performs a supervised classification of land cover through the usage of QGIS software and Landsat images for the years 1999 and 2019. The results show the growth of areas without vegetation due to a great drought facing the Central Zone of the country. Additionally, there is a decrease in available bodies of water. This article leaves open future research on the impact of the main economic activities of the region. |
9,346 | Please write an abstract with title: High-density 3-D packaging technology based on the sidewall interconnection method and its application for CCD micro-camera visual inspection system, and key words: Packaging, Charge coupled devices, Inspection, Integrated circuit interconnections, Integrated circuit technology, Space technology, Data communication, Large scale integration, Charge-coupled image sensors, Encapsulation. Abstract: High-density three-dimensional (3-D) packaging technology for a charge coupled device (CCD) micro-camera visual inspection system module has been developed by applying high-density interconnection stacked unit modules. The stacked unit modules have fine-pitch flip-chip interconnections within Cu-column-based solder bumps and high-aspect-ratio Cu sidewall footprints for vertical interconnections. Cu-column-based solder bump design and underfill encapsulation resin characteristics were optimized to reduce the strain in the bump so as to achieve fine-pitch flip-chip interconnection with high-reliability. High-aspect-ratio Cu sidewall footprints were realized by the Cu-filled stacked vias at the edge of the substrate. High-precision distribution of sidewall footprints was achieved by laminating the multiple stacked unit substrates simultaneously. The fabricated high-density 3-D packaging module has operated satisfactorily as the CCD imaging data transmission circuit. The technology was confirmed to be effective for incorporating many large scale integrated (LSI) devices of different sizes at far higher packaging density than it is possible to attain using conventional technology. This paper describes the high-density 3-D packaging technology which enables all of the CCD imaging data transmission circuit devices to be packaged into the restricted space of the CCD micro-camera visual inspection system interior. |
9,347 | Please write an abstract with title: Public transport analyzing using bee colony, and key words: Roads, Urban areas, Automobiles. Abstract: Urban public transport is crucial to the functionality of every urban city. Good urban transport affects the functionality of the city itself and of course reduces the number of cars on the roads. The wider Novo mesto region, as a key industrial center, is heavily dependent on urban transport. Unfortunately, urban transport in Novo mesto still has a relatively weak effect on the traffic connections of the wider area. In fact, its functionality has never been systematically scientifically researched. |
9,348 | Please write an abstract with title: A Design of Perodic Circuit Analog Absorber at X-band and its Fabrication Discrepancy Analysis, and key words: Fabrication, Radio frequency, Uncertainty, Sensitivity, Statistical analysis, Electromagnetic scattering, Ink. Abstract: This paper presents a design of periodic circuit analog absorbers (PCAAs) for electromagnetic (EM) scattering fields reduction. The performance sensitivities to the geometric parameters in fabrications are examined to estimate the manufacturing uncertainty. We consider randomly nonuniform thicknesses of a conductive ink and the two sandwiching dielectric substrate layers on both sides to fabricate PCAAs. The EM absorbing capability is studied on the S-parameters (the reflection and transmission coefficients) and the resulting power efficiency, using numerical HFSS full-wave simulations at a frequency band of 10 GHz. Experiments on prototype samples are also conducted. They showed that a fabrication accuracy of better than $10^{-4}\lambda$ is required to assure a stable performance. |
9,349 | Please write an abstract with title: The Development of Play and Self* Systems, and key words: SISSY, child development, play, self-integrating components. Abstract: In this short position paper, we compare the development of cooperative play in very young humans to the very different process taken in traditional system engineering for integrating complex cyber-physical systems. The purpose is not to criticize the engineering approaches and methods we use to build self-integrating systems; the successful applications that have been accumulating speak for themselves. Rather by examining some of the clear differences in the biological development of cooperative interactions with others, we hope to raise a discussion on how we might implement more enriched environments within which systems (even abstract computational systems) can do and learn from more self-experimentation, observation of other systems, and diverse modes of interactions with others. |
9,350 | Please write an abstract with title: Optimal Capacity Allocation of Integrated Energy Systems Considering Renewable Energy Accommodation, and key words: Renewable energy sources, Costs, Power supplies, Collaboration, Reliability engineering, Real-time systems, Resource management. Abstract: The diverse energy equipment, the complex energy type, and the highly coupled energy system in the integrated energy system make the capacity combination and distribution scheme at the initial design stage complicated and hard to be estimated. In order to ensure the reliability and economy of the energy supply system, it is necessary to use the multi-energy collaborative optimization to fix the capacity according to demand, which can be divided into capacity configuration and operation strategy. This paper uses the double-layer optimization method to optimize an integrated energy system. The results show that the optimization scheme can reduce the electricity and gas costs, and reduce the pollutant emissions with quantitative large renewable energy. Although the costs of system construction and operation are large, it still has certain advantages in the total cost. |
9,351 | Please write an abstract with title: Estimation of Directed Dependencies in Time Series Using Conditional Mutual Information and Non-linear Prediction, and key words: Input variables, Time series analysis, Estimation, Europe, Signal processing, Data models, Mutual information. Abstract: It is well-known that estimation of the directed dependency between high-dimensional data sequences suffers from the "curse of dimensionality" problem. To reduce the dimensionality of the data, and thereby improve the accuracy of the estimation, we propose a new progressive input variable selection technique. Specifically, in each iteration, the remaining input variables are ranked according to a weighted sum of the amount of new information provided by the variable and the variable's prediction accuracy. Then, the highest ranked variable is included, if it is significant enough to improve the accuracy of the prediction. A simulation study on synthetic non-linear autoregressive and Henon maps data, shows a significant improvement over existing estimator, especially in the case of small amounts of high-dimensional and highly correlated data. |
9,352 | Please write an abstract with title: Microengineering tools to study cellular mechanotransduction, and key words: Stochastic systems, Genetics, Protein engineering, Biological system modeling, Solid state circuits, Electronics industry, Mechanical factors, Geometry, Buildings, Microorganisms. Abstract: Cells respond to many signals from their local environment, as a result of contact with solid-state surfaces, soluble agents, neighboring cells, and mechanical forces. We are investigating the interactions between these signals to understand how cells integrate the mechanical and biochemical signals in regulating endothelial cell function. Using conventional and unconventional microfabrication approaches originally developed in the semiconductor industry, we are engineering well-defined cellular microenvironments to examine how cells recognize and respond to different cues in their microenvironment. In particular, we are interested in understanding how integrins, cadherins, growth factors, and mechanical cues cooperate to control cytoskeletal structure and mechanics, cell proliferation, and differentiation. We will discuss our approaches to control compositional chemistry, mechanical properties, architecture, and geometry of surfaces, and how these factors regulate cells. Thus, we hope to better understand the fundamental mechanisms that drive tissue organization, while building infrastructure to use microchips to integrate, manipulate, and study living cells. |
9,353 | Please write an abstract with title: Kernel Learning with Tensor Networks, and key words: Performance evaluation, Manifolds, Tensors, Conferences, Statistical learning, Gaussian processes, Signal processing. Abstract: The expressive power of Gaussian Processes (GPs) is largely attributed to their kernel function, which highlights the crucial role of kernel design. Efforts in this direction include modern Neural Network (NN) based kernel design, which despite success, suffers from the lack of interpretability and tendency to overfit. To this end, we introduce a Tensor Network (TN) approach to learning kernel embeddings, with a TN serving to map the input to a low dimensional manifold, where a suitable base kernel function can be applied. The proposed framework allows for joint learning of the TN and base kernel parameters using stochastic variational inference, while leveraging on the low-rank regularization and multi-linear nature of TNs to boost model performance and provide enhanced interpretability. Performance evaluation within the regression paradigm against TNs and Deep Kernels demonstrates the potential of the framework, providing conclusive evidence for promising future extensions to other learning paradigms. |
9,354 | Please write an abstract with title: From the spherical to an elliptic form of the dynamic RBF neural network influence field, and key words: Neural networks, Condition monitoring, Prototypes, Radial basis function networks, Shape, Interpolation, Artificial intelligence, Production systems, Cost function, Modems. Abstract: We introduce a new neural network architecture corresponding to the dynamic RBF with an elliptic influence field. The dynamic aspect is obtained with a self-connection, and the elliptic influence field form, by adding a supplementary RBF layer. The modified RBF neural network gives good results in monitoring applications. |
9,355 | Please write an abstract with title: A reduced-order compensator for suppression of process and measurement disturbances, and key words: Observers, Control systems, State estimation, Linear matrix inequalities, Electric variables measurement, Linear systems, Equations, Shape, Nonlinear systems, Stochastic systems. Abstract: A reduced-order observer based disturbance reduction control technique is proposed, which is capable of minimizing the effects of deterministic but immeasurable process and measurement disturbances acting on linear systems. This scheme relies on reconstructing the disturbance state estimate through a reduced-order observer designed using a linear matrix inequality technique. Two examples are provided to show the effectiveness of the proposed scheme. |
9,356 | Please write an abstract with title: Decentralized Array Processing with Application to Cooperative Passive Radar, and key words: Passive radar, Surveillance, Covariance matrices, Coherence, Signal processing algorithms, Principal component analysis, Protocols. Abstract: In this paper we propose a passive RADAR system for a distributed sensor array. Our system is partitioned in two sets of sensors: the set of surveillance sensors and the set of reference sensors, connected through a meshed communication network topology. Rather than using a fusion center, our target detection algorithm uses near-neighbors communications. Messages are therefore exchanged within the surveillance and reference networks and across the two networks. Our decentralized detection algorithm computes the singular values of the coherence matrix between the surveillance and reference measurements, which is necessary to perform a generalized likelihood ratio (GLR) test at each sensor. Simulation results show that as the number of gossip round increases, the proposed decentralized method detection performance are comparable to those of the centralized counterpart. |
9,357 | Please write an abstract with title: Dyadic Green's Functions of Multi-layered Plane Media and its Application on the Meander-Line Slow-Wave Structure, and key words: Microwave antennas, Printed circuits, Media, Sensors, Planar waveguides, Millimeter wave integrated circuits, Dispersion. Abstract: Dyadic Green’s functions of multi-layered plane media with arbitrary boundaries were deduced in this paper. The solved results in the typical boundary conditions were obtained, and a special electromagnetic structure, meander line slow-wave structure (ML-SWS), was also selected for discussing its dispersion characteristic by field-matching method based on the dyadic Green’s functions of multi-layered plane media. |
9,358 | Please write an abstract with title: One dimensional heterostructures and resonant tunneling in III-V nanowires, and key words: Resonant tunneling devices, III-V semiconductor materials, Nanowires, Indium phosphide, Wires, Electric variables measurement, Gold, Single electron transistors, Substrates, Contacts. Abstract: We use a bottom-up approach to grow epitaxially nucleated semiconductor nanowires from gold particles. Heterostructure barriers of InP are introduced inside InAs nanowires to form resonant tunneling diodes and single-electron transistors. |
9,359 | Please write an abstract with title: Creating electrical hazard awareness with communication using msds and labeling, and key words: Labeling, Frequency, Electrothermal effects, Electrical safety, Contacts, Current, Railway safety, Electrical equipment industry, Chemical hazards, Data mining. Abstract: There is credible data to support the assertion that power frequency electrical energy exposure is potentially life-threatening. While given little thought in many occupational settings, working on, near, or with electrical energy can transition from harmless to harmful activity across ultra-short time and spatial dimensions. Furthermore, the hazards associated with electricity use are uniquely challenging. Because electrical energy’s presence saturates daily task performance in a silent, odorless, and invisible manner, people are routinely cognitively desensitized to the physical potency of electrical energy’s fundamental electrothermal-chemical nature. To advance personal and public safety, employers can create electrical hazard awareness with communication using material safety data sheet (MSDS) and labeling in familiar formats adapted from training for chemical safety. |
9,360 | Please write an abstract with title: Design of Information System for Advanced Technologies Production Sustainability, and key words: Process design, Productivity, Technological innovation, Process planning, Standards organizations, Production, Companies. Abstract: Environmental protection is an integral part of the strategy of responsible companies and organizations. Through industrial production, the planet's resources are degraded and destroyed for a long time. The only way to preserve nature is to slow down and finally stop the unsustainable method of production. The article deals with the application of information system developed at the Technical University of Kosice to the analysis of basic legal and professional approaches to sustainable production methods evaluation and with application to advanced technologies process planning. A simple methodology implemented in the Information system was created in cooperation with a multidisciplinary international team. The methodology can be used for various sizes of manufacturing companies. This methodology is based on the ISO 14040 standard and offers the possibility of an effective comparison of the economic and environmental impacts of the proposed production processes. The contribution presents an evaluation of the information system in production process design for a selected part and presents the economic and environmental impact of the five selected processes. |
9,361 | Please write an abstract with title: Creative problem management in Web-tutored programming projects, and key words: Project management, Programming profession, Environmental management, Computer science, Problem-solving, Computer science education, Educational programs, Computerized monitoring, Distance learning, Employee welfare. Abstract: The ability to support students' learning processes efficiently during Web-tutored programming project course is a key factor to success. In order to enrich the supportive efforts we need to build specific environments to fulfill this requirement. One of the most interesting methods to be used in such environment are various problem-solving tools which help the student to solve relevant problems in a creative way. The environment equipped with such tools could both support students in various situations and ease the workload of the instructors in the tutoring task. |
9,362 | Please write an abstract with title: Study of the Curie temperature of cobalt ferrite based composites for stress sensor applications, and key words: Temperature sensors, Cobalt, Ferrites, Stress, Magnetic materials, Temperature dependence, Magnetic sensors, Magnetic hysteresis, Magnetomechanical effects, Magnetic field induced strain. Abstract: Cobalt ferrite has been shown to be an excellent candidate material for high sensitivity magnetic stress sensors due to its large magnetomechanical effect and high sensitivity to strain. However, near room temperature, the material exhibits some magnetomechanical hysteresis, which becomes negligible for temperatures of 60/spl deg/C and above. Measurements indicate that doping the cobalt ferrite with silicon lowers the Curie temperature of the material. It was also found that the Curie temperature of the material depends on the fabrication and processing procedure. These results offer the possibility of decreasing the room temperature magnetomechanical hysteresis through control of the Curie temperature, thereby altering the temperature dependence of magnetic and magnetomechanical properties. |
9,363 | Please write an abstract with title: Model-Based Simulation of a Mini Differential Drive Robot, and key words: Software design, Software packages, Dynamics, Prototypes, Kinematics, Information technology, Robots. Abstract: In this paper a mini differential drive robot platform was modeled and simulated in MathWorks Simulink. The structure of the mini robot platform that was used as a base design is the DFrobot micro maqueen. A kinematic base differential drive model was used and simulated with forces acting upon it. The model was simulated for 5 seconds and was compared to the actual model run. A model base simulation was used as a tool to check in measuring the dynamics and performance of a mini differential drive robot platform. |
9,364 | Please write an abstract with title: Q-Learning Based Routing in Optical Networks, and key words: Q-learning, Modulation, Bandwidth, Optical fiber networks, Routing, Resource management, Computer security. Abstract: The rapid increase in bandwidth demand has driven the development of flexible, efficient, and scalable optical networks. One of the technologies that allows for much more flexible resource utilization is Elastic Optical Network. However, there is a need to solve the Routing, Modulation and Spectrum Assignment (RMSA) problem. In this paper, we use reinforcement learning to improve the efficiency of the routing algorithm. More specifically, we implement an off-policy Q-learning and compare it with the state-of-the-art algorithms. The results confirm that Q-learning is highly effective when optimal results need to be found in a large search space. |
9,365 | Please write an abstract with title: Single Image Dehazing Using Dark Channel Prior With Median Filter and Contrast Enhancement, and key words: Mathematical model, Image restoration, Maximum likelihood detection, Nonlinear filters, Standards, Scattering, Histograms. Abstract: Aerosols such asdust particles, water droplets, haze, fog degraded the standard of an image taken by the camera. In many applications of an image such as a video surveillance system, a navigation application, remote sensing use image as an input. These images are affected by environmental pollution due to the scattering of aerosols. Image disorientated its standard and not suitable for the vision system. There is a need to restore the image taken as input to the vision system. There are a lot of techniques, which can restore the image as its natural content. Dark Channel Prior is a key attribute to the restoration of degrade image. In this paper we use DCP method and median filter to rectify the transmission map and use AGCWD (adaptive gamma correction with weighting distribution) to enhance the contrast of final dehaze image. On seeing this quality of an output image this method provide finer and efficient outcomes. For the quality evaluation of these outcomes we use different parameter PSNR, MSE and IE. We compare these results with existing algorithm. |
9,366 | Please write an abstract with title: Continuous Phase Modulation With 1-Bit Quantization Using Adaptive Oversampling, and key words: Quantization (signal), Frequency modulation, Spectral efficiency, Conferences, Receivers, Mean square error methods, Nonuniform sampling. Abstract: Continuous phase modulation (CPM) with 1-bit quantization at the receiver is promising in terms of energy and spectral efficiency. This study proposes a mean square error (MSE) based strategy for selecting the sampling time instances of an oversampled and 1-bit quantized CPM signal. The adaptive sampling scheme is especially suitable for signals with smooth phase transitions such as given by CPM signals based on the raised cosine frequency pulse. Numerical results show that receive processing with the proposed sampling strategy outperforms the conventional receive method based on uniform sampling, while corresponding to a lower computational complexity. |
9,367 | Please write an abstract with title: A robust metric for coarse frame and carrier synchronization of OFDM systems, and key words: OFDM, Frequency synchronization, Frequency estimation, Noise robustness, AWGN, Additive white noise, Resumes, Maximum likelihood estimation, Performance analysis, Computer simulation. Abstract: The paper proposes a fast and reduced complexity frame and carrier acquisition scheme for OFDM systems which assume either a continuous or a burst mode operation in additive white Gaussian noise (AWGN) and frequency-selective channels. By exploiting the repetitive structure of a training symbol, a robust frame synchronizer is obtained and shown to resume to finding the peak of a certain correlation metric that is obtained by invoking maximum likelihood principles. A new carrier estimator that can correct frequency offsets by up to two subcarrier spacings is also proposed and achieves the lowest mean-square error among the existing estimators that exploit a similarly structured signaling set-up. The efficiency of the proposed synchronization algorithms is illustrated by both theoretical performance analysis and computer simulations. |
9,368 | Please write an abstract with title: Convergence analysis of run-to-run control for a class of nonlinear systems, and key words: Convergence, Control system analysis, Nonlinear control systems, Control systems, Nonlinear systems, Current measurement, Linear approximation, Blood, Sugar, Diabetes. Abstract: In run-to-run control, measurements from previous runs are used to push the outputs of the current run towards desired set points. From a run-to-run perspective, the classical dynamics get integrated by each run, thereby leading to static nonlinear input-output map. This paper shows that, when successive linearization of this nonlinear map is used to adapt the run-to-run controller, convergence may not be achieved. However, convergence can be guaranteed of the controller is based on a linear approximation for which the outputs are in-phase (i.e., within 90/spl deg/) with the true outputs. A convergence proof based on Lyapunov approach is provided. The theoretical aspects are illustrated through the simulated meal-to-meal control of blood glucose concentration in diabetic patients. |
9,369 | Please write an abstract with title: Artificial Neural Network-Based Inertia Estimation, and key words: Training, Renewable energy sources, Perturbation methods, HVDC transmission, Supervised learning, Estimation, Artificial neural networks. Abstract: The increase of non-synchronous renewable energy penetration is causing a gradual drop in the system inertia which has been challenging for system operators and can pose a threat to system stability. This paper presents a perturbation-based method to estimate the system inertia. The perturbations are small in magnitude and short in duration. The method relies on an HVDC converter to inject a perturbation which can be triggered periodically to track the changes in system inertia. The system's response to the perturbation is analyzed using supervised learning to produce an estimate of the system inertia. The method has been evaluated using the simulated IEEE-39 bus system in DIgSILENT™ PowerFactory® and is verified using simulated signals distorted with noise typically found in measurements. |
9,370 | Please write an abstract with title: Handoff strategy for multi-tier IP-based wireless network, and key words: Wireless networks, Wireless communication, Computer science, IP networks, Frequency, Telecommunication control, 3G mobile communication, Vehicles, Satellite communication, Boats. Abstract: The developments of wired network technologies are significant rapidly, such as the IP-based network. These technologies can be used to develop wireless network directly. Recently, there are many communication systems brought up in order to offer mobile users with the best services. The combination of wired network and wireless network could be used to access data mutually. In this paper, the multi-tier architecture is based on IP network. Combining all these systems in a multi-tier IP-based wireless network is an important issue. In this paper, we propose a novel handoff algorithm of wireless communication for multi-tier IP-based network; the handoff algorithm is divided into two parts, which are Old-tier priority and New-tier priority algorithm. Making programs by C for simulating, and making sure that the algorithm is workable. The results of simulation show 11.99% of handoff frequency has been decreased and 8% of using rates of resource has been increased. |
9,371 | Please write an abstract with title: An MMPP-based hierarchical model of Internet traffic, and key words: Internet, Traffic control, Telecommunication traffic, IP networks, Performance analysis, Communication system traffic control, Predictive models, Character generation, Stochastic processes, Queueing analysis. Abstract: In this paper, we propose a MMPP (Markov modulated Poisson process) traffic model that accurately approximates the LRU (long range dependence) characteristics of Internet traffic traces. Using the notion of sessions and flows, the proposed MMPP model mimics the real hierarchical behavior of the packet generation process by Internet users. Thanks to its hierarchical structure, the proposed model is both simple and intuitive: it allows the generation of traffic with the desired characteristics by easily setting a few input parameters which have a clear physical meaning. Results prove that the queuing behavior of the traffic generated by the MMPP model is coherent with the one produced by the real traces collected at our institution edge router under different networking scenarios and loads. Due to its characteristics, the proposed MMPP traffic model can be used as a simple and manageable tool for IP network performance analysis, as well as for network planning and dimensioning. |
9,372 | Please write an abstract with title: A Machine Learning Approach to Clutter Suppression for Marine Surveillance Radar, and key words: Radar remote sensing, Surveillance, Radar clutter, Radar detection, Machine learning, Object detection, Generative adversarial networks. Abstract: Marine surveillance radar can monitor the marine environment in all-weather conditions, but the presence of sea clutter will seriously affect its target detection performance. In this paper, we proposes a sea clutter suppression method based on machine learning that contains two pairs of generative adversarial networks (GANs), in which one GAN is used to learn the mapping relationship of sea clutter suppression, and the other is used to ensure the performance of clutter suppression. Matching loss is proposed to preserve clutter suppression performance. Experimental results have shown the superior performance of the proposed method in improving the signal-to-clutter ratio (SCR) and the stability of clutter suppression. |
9,373 | Please write an abstract with title: Speed Control of DC Motor Based on Tuning Pole Placement Using Enhanced PSO, and key words: Software packages, Velocity control, DC motors, Control systems, Mathematical model, Tuning, Matlab. Abstract: DC motor widely used in different application for example Electric car and industrial application. Speed control of dc motor is very important in order to let system work with high performance. In this paper, state space model of dc motor is implemented in Matlab Simulink. In addition, in order to make controller for speed of dc motor, current controller of dc motor have to be considered and second loop is speed controller of dc motor. Pole placement method is used to make controller for current and speed of dc motor. Furthermore, standard particle swarm optimization (SPSO) is used for tuning pole placement state feedback gain controller (K) for current control and speed control. Moreover, enhanced particle swarm optimization (EPSO) is used for tuning state feedback gain controller for current and speed of the system. In addition, the impact of disturbance on system controller is carried out in this study. The study findings that system using (EPSO) have higher performance and reached steady state in compared with the system using SPSO and pole placement method. Furthermore, disturbance on system controller using EPSO has lower effect than other methods. |
9,374 | Please write an abstract with title: Sports Video Extraction and Analysis Method Based on Cyclic Random Walk Algorithm, and key words: Deep learning, Analytical models, Codes, Streaming media, Feature extraction, Data models, Data mining. Abstract: With the development of multimedia and network technology, sports videos have been widely produced and disseminated. Based on the cyclic random walk algorithm of deep learning, this paper establishes a cyclic machine random walk model for feature extraction and analysis of sports videos. Firstly, the rise of sports video and the necessity of video key frame analysis is introduced. Secondly, according to the random walk algorithm of deep learning, a cyclic random walk model is proposed, and several analysis methods of sports video are introduced. Finally, the key frame of sports video is extracted through code simulation to verify the effectiveness of the algorithm. |
9,375 | Please write an abstract with title: Optimal Detection Technique for Primary User Emulator in Cognitive Radio Network, and key words: Location awareness, Monte Carlo methods, Time difference of arrival, Computational modeling, Emulation, Physical layer, Particle measurements. Abstract: The primary user emulation attack (PUEA) is one of the most common attacks affecting the physical layer of the cognitive radio network (CRN). In this attack, a malicious user or a selfish user mimics the signal characteristics of the primary user (PU) to deceive the legitimate secondary user (SU) causing it to leave the available channel while the real PU is absent hence, detecting this attacker is vital in building a real CRN. In this paper, the PUEA is detected based on the Time difference of Arrival (TDOA) localization technique using the particle swarm optimization (PSO), novel bat algorithm (NBA), and the modified particle swarm optimization (MPSO) to minimize the localization error from the TDOA measurement and comparison is made among the three algorithms in term of the localization accuracy, convergence rate, computation time via simulation using the MATLAB simulation tool by running the monte Carlo 1000 times. The performance of the techniques was evaluated using the mean square error (MSE) and cumulative distribution function (CDF) and the MPSO algorithm out-performed the PSO and the NBA |
9,376 | Please write an abstract with title: Urinary Bladder Volume Reconstruction Based on Bioimpedance Measurements: Ex Vivo and In Vivo Validation Through Implanted Patch and Needle Electrodes, and key words: Bioimpedance, bladder volume monitoring, implantable biorobotic organs, implantable sensors. Abstract: Restoring bladder sensation in patients with bladder dysfunctions by performing urinary volume monitoring is an ambitious goal. The bioimpedance technique has shown promising results in wearable solutions but long-term validation and implantable systems are not available, yet. In this work, we propose to implant commercial bioimpedance sensors on bladder walls to perform bladder volume estimation. Two commercial sensor types (Ag/AgCl patch and needle electrodes) were selected for this purpose. An injected current frequency of 1.337 MHz and electrodes paired on the same face of the bladder allowed us to correlate the changes in impedance with increasing volumes. Two volume reconstruction algorithms have been proposed, based on the direct correlation between bioimpedance readings and bladder volume (Algorithm A) or bioimpedance readings and inter-electrode distance (Algorithm B, bladder shape approximated to a sphere). For both algorithms, a better fit with a second-degree fitting polynomial was obtained. Algorithm A obtained lower estimation errors with an average of 20.35% and 21.98% (volumes greater than 150 mL) for patch and needle electrodes, respectively. The variations in ion concentration led to a slight deterioration of volume estimation; however, the presence of tissues surrounding the bladder did not influence the performance. Although Algorithm B was less affected by the experimental conditions and inter-subject biological variability, it featured higher estimation errors. In vivo validation on the supine model showed average errors of 29.36% (volumes greater than 100 mL), demonstrating the potential of the proposed solution and paving the way toward a novel implantable volume monitoring system. |
9,377 | Please write an abstract with title: Deep Neural Network-Based Real-time Trajectory Planning for an Automatic Guided Vehicle with Obstacles, and key words: Optimal control, Real-time systems, Neural networks, Trajectory planning, Cost function, Navigation, Mathematical model. Abstract: In this paper, a hybrid-intelligent real-time optimal control approach based on deep neural networks (DNNs) for an automatic guided vehicle (AGV) with obstacles is studied. The path planning problem of the AGV is formulated as an optimal control problem (OCP) and the numerical solution of the OCP can be obtained by discretizing the OCP into a nonlinear programming (NLP) problem. However, due to the change of the starting point and the high nonlinearity of the model, the solution process is usually difficult without good initial guesses. Multiple iterations are often needed and real-time performance cannot be easily achieved. To this end, we first use the Gauss pseudospectral method incorporated a smoothing technique to solve the AGV optimal control problem with high computational efficiency offline. Subsequently, a DNNs is developed to learn the functional relationship between the optimal state and action pairs obtained by the approximate indirect method, and thus the resulting DNNs can generate the optimal control instructions in real time for the AGV navigation. Numerical results are illustrated to verify the real-time performance, control optimality and robustness of the developed DNN-based controller. |
9,378 | Please write an abstract with title: Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter, and key words: Training, Geometry, Automation, Shape, Robot kinematics, Grasping, Sampling methods. Abstract: Robots in the real world frequently come across identical objects in dense clutter. When evaluating grasp poses in these scenarios, a target-driven grasping system requires knowledge of spatial relations between scene objects (e.g., proximity, adjacency, and occlusions). To efficiently complete this task, we propose a target-driven grasping system that simultaneously considers object relations and predicts 6-DoF grasp poses. A densely cluttered scene is first formulated as a grasp graph with nodes representing object geometries in the grasp coordinate frame and edges indicating spatial relations between the objects. We design a Grasp Graph Neural Network (G2N2) that evaluates the grasp graph and finds the most feasible 6-DoF grasp pose for a target object. Additionally, we develop a shape completion-assisted grasp pose sampling method that improves sample quality and consequently grasping efficiency. We compare our method against several baselines in both simulated and real settings. In real-world experiments with novel objects, our approach achieves a 77.78% grasping accuracy in densely cluttered scenarios, surpassing the best-performing baseline by more than 15%. Supplementary material is available at https://sites.google.com/umn.edu/graph-grasping. |
9,379 | Please write an abstract with title: Research on Residual Learning of Deep CNN for Image Denoising, and key words: Training, Deep learning, Signal processing, Convolutional neural networks, Image denoising. Abstract: Image denoising is a classical but still popular research topic. Removing noise from corrupted images is an indispensable step for many practical applications. Deep Learning for image denoising has shown favorable performance. Residual Learning of Deep CNN (DnCNN) is proposed for image denoising, and shows desired performance. In the paper, based on DnCNN, some hyperparameters are adjusted for better performance. In addition, a validation step is added during the training process, which allows us to observe the training process to avoid overfitting. With the validation step during the training process, a novel method of learning rate adjustment is introduced to help train the best model for the network. The results show the adjusted network has a better performance compared to the baseline of DnCNN. |
9,380 | Please write an abstract with title: A high-throughput VLSI architecture for linear turbo equalization, and key words: Very large scale integration, Equalizers, Iterative decoding, Bit error rate, Computer architecture, Throughput, Binary phase shift keying, AWGN, Intersymbol interference, Additive white noise. Abstract: Turbo equalization dramatically improves bit error rate (BER) over separate equalization and decoding receivers. However, turbo equalization has low throughput due to iterative processing where a soft-input soft-output (SISO) equalizer or decoder cannot begin before the end of the previous SISO decoding iteration. In this paper, we propose a high-throughput VLSI architecture for linear turbo equalizers via rescheduling the soft information updates on a factor graph. The proposed method enables SISO equalizers and decoders to run concurrently thereby reducing the processing time. Thus, the proposed architecture increases throughput by 40%-75% without any loss in BER. |
9,381 | Please write an abstract with title: 20 Watt CW 589-nm sodium beacon excitation source for adaptive optical telescope applications, and key words: Adaptive optics, Telescopes, Laser excitation, Laser beams, Optical pumping, Resonance, Pump lasers, Ring lasers, Optical diffraction, Optical polarization. Abstract: A doubly resonant sum-frequency ring containing an LBO crystal, pumped by 1064 nm and 1319 nm continuous-wave Nd:YAG injection-locked ring lasers, produced a 20 W diffraction-limited, single-frequency, 589-nm beam. A 12 W circularly polarized beam produced a 7.2-magnitude guidestar. |
9,382 | Please write an abstract with title: Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories, and key words: Linear systems, Trajectory, Markov processes, MIMO communication, Stability analysis, Estimation error, Asymptotic stability. Abstract: This letter considers the problem of linear time-invariant (LTI) system identification using input/output data. Recent work has provided non-asymptotic results on partially observed LTI system identification using a single trajectory but is only suitable for stable systems. We provide finite-time analysis for learning Markov parameters based on the ordinary least-squares (OLS) estimator using multiple trajectories, which covers both stable and unstable systems. For unstable systems, our results suggest that the Markov parameters are harder to estimate in the presence of process noise. Without process noise, our upper bound on the estimation error is independent of the spectral radius of system dynamics with high probability. These two features are different from fully observed LTI systems for which recent work has shown that unstable systems with a bigger spectral radius are easier to estimate. Extensive numerical experiments demonstrate the performance of our OLS estimator. |
9,383 | Please write an abstract with title: Copyright Infringement Detection of Multimedia Objects using K-L Transform, and key words: copyright, infringement detection, multimedia objects, K-L transform. Abstract: Presents the copyright information for the conference. May include reprint permission information. |
9,384 | Please write an abstract with title: OctoMap: Supporting Service Function Chaining via Supervised Learning and Online Contextual Bandit, and key words: Data centers, Uncertainty, Service function chaining, Bandwidth, Telecommunication traffic, Traffic control, Prediction algorithms. Abstract: Network Function Virtualization (NFV) replaces physical middleboxes with elastic Virtual Network Functions (VNFs). Those VNFs need to be instantiated, and their resources dynamically scaled to meet application and traffic fluctuation requirements. Despite recent extensive research, deciding how to map virtual resources optimally to the underlying infrastructure remains practically a challenge. Existing approaches mostly assign fixed resources to each VNF instance, and transfer virtual flows using a single physical path, without prior knowledge of traffic patterns and available bandwidth. Such resource binding strategies lead to suboptimal physical link utilization. We advance the state of the art in this regard by presenting OctoMap, a system designed to support with learning theory any chain embedding algorithm. OctoMap utilizes a Convolution Neural Network for traffic prediction and provisioning, and a contextual multi-armed bandit algorithm to solve the online VNF chain embedding problem. We show the performance benefits of OctoMap with a trace-driven simulation campaign using publicly available datasets. In particular, we show how OctoMap reduces the costs of provisioning network services under node and link constraints, comparing different predictors and different multi-armed bandit policies. |
9,385 | Please write an abstract with title: Learning to Detect Subsea Pipelines with Deep Segmentation Network and Self-Supervision, and key words: Training, Pipelines, Neural networks, Inspection, Optical sensors, Vehicle dynamics, Tuning. Abstract: Regular inspection of subsea pipelines is crucial for assessing their integrity and for maintenance. These inspections usually are very expensive without employing Autonomous Underwater Vehicles (AUVs). Most of the research focus in this area has been directed in automating the process to reduce operational costs and is done by using multiple perceptive sensors. This paper investigates the problem of pipeline detection using optical sensors in highly turbid subsea scenarios. A deep neural network is designed to segment pipes from optical images. Since a common issue with underwater optical sensing is dynamic changes in scenes and the difficulty of labelling large dataset, a novel self-supervision method based on multibeam echosounder is proposed to fine-tune a pre-trained network on the fly. Extensive experiments are conducted in real-world challenging scenarios, showing the effectiveness of the proposed method. The proposed method can run real-time on an Nvidia Jetson AGX embedded PC, supporting AUV field operation. |
9,386 | Please write an abstract with title: Detection of spiculated lesions in mammograms, and key words: Lesions, Nonlinear filters, Mammography, Filtering algorithms, Biomedical engineering, Image converters, Breast cancer, Cancer detection, Filtering theory, Biomedical computing. Abstract: In this paper, we present a new technique for the detection of spiculated masses in digitized mammograms. The techniques consist of two stages, enhancement of spiculations followed by the detection of the location where they converge. We describe a new algorithm for the enhancement and a new set of linear image filters which we have created for the detection stage. We have tested the algorithm on digitized mammograms obtained from the digital database for screening mammography (DDSM). Results of the detection algorithm are shown. Finally we show that the algorithm may be modified for the detection of architectural distortions. |
9,387 | Please write an abstract with title: Role of three dimensional (3D) modelling as a pedagogic tool for heritage and tourism studies, and key words: Visualization, Power system modeling, Physics education, Biological system modeling, Virtual reality, Graphics, Testing, Educational technology, Context modeling, Virtual environment. Abstract: This paper details a multimedia instructional strategy in which curriculum is integrated with 3D modelling exploration to enhance user visualisation for two-dimensional graphics and pictorial representations. A pilot user study was performed for multimedia heritage interpretation, a core module at Anglia Polytechnic University UK. In the final stages of the course, 3D modelling of different heritage sites was integrated as a design study medium. We compared two cohorts from two academic years, following the above module. Qualitative results suggest that the integration of 3D environments in a conventional academic course can be engaging and beneficial in improving learning capabilities. Throughout this study, the respective curricula and views expressed by lecturers and students served as test bed to assess whether this paradigm has good potential to be used to create novel resources for different undergraduate curriculum. Further, we discuss the limitations of this approach on learning process. |
9,388 | Please write an abstract with title: Non-Poisson Fluctuation Statistics In Neuronal Inter-Spike Intervals (ISI): Hurst parameter Estimates of Mouse Retinal Ganglion Signals, and key words: Fluctuations, Statistics, Intersymbol interference, Parameter estimation, Mice, Retina, Brain modeling, Fractals, Autocorrelation, Prosthetics. Abstract: There is considerable recent interest in both (i) modelling the retinal ganglion cells, so that the models can generate output that approximates the actual response of the retina (such models will help design retinal prosthetics); and (ii) understanding how relevant information is encoded in the spike patterns generated by the ganglion cells (these neuronal codes will help understand how the brain analyzes visual scenes). Since the signals (as captured by ISI) are fundamentally stochastic, any modelling or analysis tool will have to track, and make assumptions about, the fluctuations or noise inherently present in these signals. Even though there have been recent work claiming that the fluctuations are fractal in nature, showing long-range dependencies, almost all modelling and analysis work continue to assume Poisson fluctuations. The widespread use of the Poisson model is partly for the sake of convenience, and partly due to the fact that those claiming on fractal nature of ISI are contradictory: In [1] a long-range dependency (i.e., Hurst parameter [2], H > 0.5) is claimed in cat's retina, and in [3] an H < 0.5 and a long-range anti-correlation are claimed for paddlefish electroreceptors. We resolve this issue by studying the ISI of more than 50 ganglion cells recorded from two different mouse retinas, and (i) Conclusively show that the Hurst parameter is less than 0.5; we also show why the results presented in [1] are erroneous: methods that do not detrend the data were used. |
9,389 | Please write an abstract with title: Efficient and effective path for automated dispensing of bio-precipitant solutions, and key words: Proteins, Crystallization, Robots, Biomembranes, Polyethylene, Robotics and automation, Chemistry, Biochemistry, Biophysics, Contacts. Abstract: There is a strong need for setting up high-throughput crystallization screens to determine the optimum conditions for protein crystal growth. In the protein structure determination process, it is required to prepare precipitant solutions to obtain well-diffraction quality crystals. In the precipitant solutions preparation procedure, a set of precipitating salts or polyethylene glycol, buffers and additives are delivered in a set of wells depending on the concentration and composition of precipitant solution. In this paper, we have implemented various heuristics to provide an efficient and effective path for the dispensing tip of robotic system to deliver the solutions for achieving high-throughput. An extensive analysis of these heuristics in providing sub-optimal paths for different precipitant solution setups is conducted. We have also presented results showing the improvement in total distance traveled by the robot in setting up precipitant solution preparation in the high-throughput mode. |
9,390 | Please write an abstract with title: Shift Modeling Based on Long Short-Term Memory for Manual Transmission System and Shift Process Improvement by Using Bionic Optimization, and key words: Adaptation models, Biological system modeling, Simulation, Fitting, Manuals, Fuel economy, Data models. Abstract: Shift modeling has increasingly attracted wide attention since it plays a vital role in the intelligent control system for manual transmission (MT) vehicles. In this paper, a modeling scheme based on distal control and real-world vehicle test data (VTD) is proposed to make it possible to imitate the drivers' shift operation. The shift model adapts to be the inverse model of running vehicle, with vehicle speed and engine speed acting as inputs while operation signals as outputs. To tackle the problem of mapping signals from sequence to sequence, the long short-term memory (LSTM) algorithm is adopted, imitating human operations on gas or clutch pedals during shift process. Modeling results reveal that LSTM algorithm obtains satisfying fitting performance. Finally, in terms of fuel economy and driveability, particle swarm optimization (PSO) algorithm is utilized to improve the shifting process. Simulations are conducted to verify the effectiveness of the proposed scheme. |
9,391 | Please write an abstract with title: Generalized Variational Mode Decomposition: A Multiscale and Fixed-Frequency Decomposition Algorithm, and key words: Frequency conversion, Optimization, Chirp, Wavelet packets, Signal processing algorithms, Narrowband, Wideband. Abstract: To overcome the limitations of variational mode decomposition (VMD) algorithm that its frequency scales and spectrum positions cannot be flexibly adjusted to decompose signals as required, a generalized VMD (GVMD) was proposed. This article addresses the fundamental theory of GVMD. In order to highlight the local characteristics of the signal much more while considering its global data fidelity, a set of variational models is formed, where individual constrained optimization problem is constructed for each mode. The formed variational models are solved by the modified alternating direction method of multipliers approach, thus realizing the multiscale and fixed-frequency decomposition. To gain a deep insight into GVMD algorithm, its frequency band division manner is investigated. In essence, GVMD can be viewed as a bank of filters whose bandwidths and center frequencies can be flexibly adjusted by its parameters, i.e., scale parameters and prior center frequencies. The effectiveness of GVMD is verified on simulated and real signals. The preliminary results show that compared with state-of-the-art methods, GVMD can make full use of feature information to decompose original signals as desired into several narrowband modes or into several narrowband modes and a wideband mode, effectively obtaining the interested modes. |
9,392 | Please write an abstract with title: The Realization of Automobile Fog Lamp Intelligent Control System Based on Jetson Nano, and key words: Image recognition, Machine learning algorithms, Clouds, Machine learning, Light emitting diodes, Safety, Robots. Abstract: In order to improve the driving safety of vehicles in foggy environment, a set of intelligent control system for vehicle fog lamp that can automatically control the fog lamp on and off by identifying the weather conditions is designed. Firstly, Jetson Nano, IMX219 camera, Raspberry PI display and LED indicator simulating fog lamp were selected as the system hardware components. Secondly, a weather recognition algorithm based on capsule network was designed. In the process of testing images which contain foggy, rainy, cloudy and sunny days, the recognition accuracy of the algorithm is 97.5%. Finally, the algorithm model was transplanted to Jetson Nano for debugging and testing. The test results show that the intelligent control system of vehicle fog lamp based on Jetson Nano basically meets the design goals and functional requirements of the system, that is, the fog lamp can be automatically turned on/off in foggy/nonfoggy environment. |
9,393 | Please write an abstract with title: Power Quality and financial risk for RES investments, and key words: Economics, Renewable energy sources, Uncertainty, Urban areas, Switches, Production, Standards. Abstract: The quality of the power supply is a basic prerequisite both for the proper functioning of electrical devices and for reducing the risk of accidents and technological interruptions. The pressure for an increasing share of RES imposes the need for electricity distribution companies to connect more power plants, but this pressure leads to an increase in the risk of quality electricity supply and at the same time is a prerequisite for financial losses when investing in renewable energy sources due to lack of congestion management. The problems that lead to these risks are the subject of this article, considering the impact they have not only on investments in new power plants, but also on already connected ones, as well as on electricity consumers. |
9,394 | Please write an abstract with title: Adaptive predictive control of a kind of processes based on a revised Wiener model, and key words: Programmable control, Adaptive control, Predictive control, Predictive models, Automation, Electronic mail, Automatic control, Nonlinear control systems, Control systems, Nonlinear dynamical systems. Abstract: Dynamic optimal setting for the set points of a kind of process is studied in this paper. This kind of process is non-linear system on the whole and it is hard to control the final product quality directly. First, characteristic of the entire process is studied and a revised Wiener model is used to describe the model of process. Step response model is used to describe the linear dynamic part and the concept of ideal work mode is introduced to describe the nonlinear static part. Adaptive controller for the set points is design based on the predictive control theory. The problem is changed into linear model predictive control by identifying and solving the nonlinear relationship. Finally, some simulation results are given. |
9,395 | Please write an abstract with title: Traffic Congestion Forecasting in Shanghai Based on Multi-Period Hotspot Clustering, and key words: Trajectory, Roads, Public transportation, Urban areas, Prediction algorithms, Hidden Markov models, Predictive models. Abstract: Traffic congestion has become increasingly prominent. Effective prediction of road congestion will provide a great reference for urban road planning and residents' travel. Taxi trajectory data objectively reflect the travel routes of the residents of a city. With good temporal and spatial characteristics and high timeliness, these data have become important in the study of urban spatio-temporal characteristics. In this paper, the PageRank-K clustering algorithm is used to analyse hotspots and cluster hotspots of a region. The shortest-distance matching algorithm based on the transition probability is used for map matching; then, the average speed of the road sections can be calculated, and the direction of taxis can be determined. The Dual_XGBoost model is used for traffic congestion prediction. Finally, we compared our model with similar models. We take roads in Shanghai as the test object. The results show that our method is faster in training, can predict congestion at any time and is more sensitive to long-term features than the other models. |
9,396 | Please write an abstract with title: New perspectives on MAC feedback capacity using decentralized sequential active hypothesis testing paradigm, and key words: Transforms, Receivers, Propagation losses, Noise measurement, Dynamical systems, Testing, Information theory. Abstract: The capacity of the MAC with feedback has been characterized through a multi-letter expression based on the work of Kramer. Except for the two-user Gaussian channel, this expression has resisted simplification; as a result there is no single-letter characterization for the capacity of the general discrete memoryless MAC (DM-MAC). In this paper we investigate connections between this problem and the problem of decentralized sequential active hypothesis testing (DSAHT). In this problem, two transmitting agents, each possessing a private message, are actively helping a third agent-and each other-to learn the message pair over a DM-MAC. The third agent (receiver) observes the noisy channel output, which is also available to the transmitting agents via noiseless feedback. We provide a characterization of the optimal transmission scheme for the DSAHT problem depending on an appropriately defined sufficient statistic. Returning to the problem of simplifying the multi-letter expression for the DM-MAC feedback capacity, we show that restricting attention to distributions induced by optimal transmission schemes for the DSAHT problem, without loss of optimality, transforms the capacity expression, so that it can be thought of as the average reward received by an appropriately defined stochastic dynamical system with time-invariant state space. |
9,397 | Please write an abstract with title: Group formation of agents with two-dimensional inner state and one-to-one subjective evaluation, and key words: Shape, Psychology, Robot control, Noise robustness, Noise shaping, Information technology, Sprites (computer), Game theory, Decision making, Humans. Abstract: In the field of multiple robot control and artificial life, group formation of agents, such as aggregation, distribution, lining and so on, is one of the important problems. The objective of this paper is to develop a mechanism of forming such an agent group. In the conventional system, an agent is set to follow predetermined rules such as Boid, or it has only an internal state. Therefore, the group of such the agents is limited to the shape of the group. However, we often form a group such that the shape of the group is almost the same but its characteristic is different, for example, a group that is easy to distribute and a group which is robust to a noise. For making such the group, in this paper, we set two-dimensional inner state in the agent, as well as subjective one-to-one evaluation. Then we investigate the characteristic of the proposed agent system. |
9,398 | Please write an abstract with title: Excited states in the VUV photoionization process of liquid tetramethylsilane and alkanes, and key words: Ionization, Digital multimedia broadcasting, Liquids, Fluctuations, Phase detection, Absorption, Lamps, Metastasis, Electrons, Spectroscopy. Abstract: Some characteristic energies are observed in the first derivative of the photoionization spectrum of tetramethylsilane (TMS) cyclohexane and 2,2,dimethylbutane (DMB). They could correspond to "auto-ionizing" states situated above the ionization threshold. Some of these energies are assigned to Rydberg series converging to a vertical ionization potential in gas phase and persisting in liquid phase. |
9,399 | Please write an abstract with title: Multi-stage Attention Convolutional Neural Networks for HEVC In-Loop Filtering, and key words: Convolution, Training, Computational modeling, Convolutional neural networks, High efficiency video coding, Computer architecture, Image restoration. Abstract: In High Efficiency Video Coding (HEVC), lossy compression techniques bring various visual artifacts such as blocking, ringing, and blurring, etc. Recently, to explore convolutional neural networks (CNN) potential of removing such artifacts, researchers presented several CNN models. In this paper, we proposed a Multi-stage Attention Convolutional Neural Network (MACNN) to replace in-loop filters or postprocessing. Our proposed method has three characteristics of effective training and inferencing: employing a 3-stage design fashion with various loss criteria, adopting the revised Inception module, and utilizing Self-attention block. Such a design has several advantages. The 3-stage design clarifies the function of each stage, effectively alleviating the burden of the network; inception module along with self-attention block benefit our model having the ability to acquire global information with fewer layers. Hence, MACNN could reach the performance gain competitive to deeper models. The experimental results show that our MACNN achieves an average 6.5% BD-rate reduction compared to HEVC in all-intra configuration, beating state-of the-art methods. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.