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S0045790616300337 | The Internet of Things (IoT) has plenty of applications including Smart Grid (SG). IoT enables smooth and efficient utilization of SG. It is assumed as the prevalent illustration of IoT at the moment. IP-based communication technologies are used for setting SG communication network, but they are challenged by huge volu... | A lightweight message authentication scheme for Smart Grid communications in power sector |
S0045790616300349 | The crisis of electricity generation in Egypt requires the need to study the possibility of using renewable energy as a way to solve this problem. Also, renewable energy reduces pollution resulting from the use of traditional methods of electricity generation. The main objective of the paper is the dynamic study of a s... | Study of wind turbine based self-excited induction generator under nonlinear resistive loads as a step to solve the Egypt electricity crisis |
S0045790616300350 | Due to the limited network bandwidth, a noise robust low bit-rate compression scheme of Mel frequency cepstral coefficients (MFCCs) is desired for distributed speech recognition (DSR) services. In this paper, we present an efficient MFCCs compression method based on weighted least squares (W-LS) polynomial approximatio... | An efficient low bit-rate compression scheme of acoustic features for distributed speech recognition |
S0045790616300398 | Active contours, or snakes, have a wide range of applications in object segmentation, which use an energy minimizing spline to extract objects’ borders. Classical snakes have several drawbacks, such as the initial contour sensitivity and convergence ability to local minima. Many approaches based on active contours ar... | A novel snake model using new multi-step decision model for complex image segmentation |
S0045790616300416 | Accurate surface estimation is a critical step for autonomous robot navigation on a rough terrain. In this paper, we present a new method for estimating the surface of an unknown arbitrarily shaped terrain from the range data. The terrain modeling problem is generally formulated as the estimation of a function whose ze... | Kernel based approach for accurate surface estimation |
S0045790616300532 | Inspired by the observation that a healthcare system usually involves various intelligent technologies from different disciplines, especially metaheuristics and data mining, this paper provides a brief survey of metaheuristics for healthcare system and a roadmap for researchers working on metaheuristics and healthcare ... | Metaheuristic Algorithms for Healthcare: Open Issues and Challenges |
S0045790616300568 | The paper describes the development of an algorithm for detecting and classifying MRI brain slices into normal and abnormal. The proposed technique relies on the prior-knowledge that the two hemispheres of a healthy brain have approximately a bilateral symmetry. We use the modified grey level co-occurrence matrix metho... | Automated screening of MRI brain scanning using grey level statistics |
S0045790616300593 | In this paper, an intelligent fuzzy logic control strategy optimized by genetic algorithm (GA) has been proposed for uniaxial parallel hybrid electric vehicle (PHEV), in the fuzzy controller, the ratio between the motor target torque and the total demand torque is the first input variable, and the state of charge (SOC)... | Intelligent fuzzy energy management research for a uniaxial parallel hybrid electric vehicle |
S0045790616300611 | Retina recognition is the most stable and reliable biometric system due to its stability, uniqueness and non-replicable nature of vascular pattern. On the other hand, the complexity of vascular pattern in diseased retina makes the extraction of blood vessels very hard, which majorally effects the recognition rate. The ... | Person identification using vascular and non-vascular retinal features |
S0045790616300623 | The aim of multi-focus image fusion is to combine several images taken by different sensors and with different focuses to increase the perception of scene. The proposed methods suffer from some undesirable side effects like blurring artifact and/or blocking which decreases the quality of the output image. This paper pr... | Multi-focus image fusion using sharpness criteria for visual sensor networks in wavelet domain |
S0045790616300672 | This work presents two low-power Secure Hash Algorithm-3 (SHA-3) designs on Field Programmable Gate Array (FPGA) using embedded Digital Signal Processing (DSP48E) slice, one for area constrained environments and the other for high-speed applications. The seven equations of SHA-3 are logically optimized to three and fou... | A low-power SHA-3 designs using embedded digital signal processing slice on FPGA |
S0045790616300696 | In this paper, we consider the speech enhancement and acoustic noise reduction problem in a moving car through a blind source separation scheme employing two loosely spaced microphones. We propose a new efficient frequency domain-symmetric adaptive decorrelation (FD-SAD) algorithm that removes punctual noise components... | An efficient frequency-domain adaptive forward BSS algorithm for acoustic noise reduction and speech quality enhancement |
S0045790616300714 | This work develops LED (Light Emitting Diode) image display system that can display patterns on the spokes of a bicycle. The proposed system of LED lights that are mounted on the wheel can provide safety by producing a beautiful pattern. The main control board and LED lighting strips that determine the displayed patter... | LED image display system with mobile APP control |
S0045790616300726 | The compositional and content attributes of images carry information that enhances the performance of image retrieval. Standard images are constructed by following the rule of thirds that divides an image into nine equal parts by placing objects or regions of interest at the intersecting lines of the grid. An image rep... | Image retrieval by addition of spatial information based on histograms of triangular regions |
S0045790616300738 | Several methods for collecting psychophysiological data from humans have been developed, including galvanic skin response (GSR), electromyography (EMG), electroencephalography (EEG), and the electrocardiogram (ECG). This paper proposes a feature extraction method for emotion recognition in EEG-based human brain signals... | A novel feature extraction method based on late positive potential for emotion recognition in human brain signal patterns |
S0045790616300854 | We consider a novel variational model for image reconstruction, based on second-order partial differential equations, in this paper. This inpainting approach is inspired by the anisotropic diffusion-based denoising solutions. A stable variational scheme is proposed first. Then, a nonlinear differential model is derived... | Variational image inpainting technique based on nonlinear second-order diffusions |
S0045794914000856 | The spatial variation of cell size in a functionally graded cellular structure is achieved using error diffusion to convert a continuous tone image into binary form. Effects of two control parameters, greyscale value and resolution on the resulting cell size measures were investigated. Variation in cell edge length was... | An error diffusion based method to generate functionally graded cellular structures |
S0045794915000255 | The consistently linearized eigenproblem (CLE) plays an important role in stability analysis of structures. Solution of the CLE requires computation of the tangent stiffness matrix K ∼ T and of its first derivative with respect to a dimensionless load parameter λ, denoted as K ∼ ̇ T . In this paper, three approaches of... | Assessment of solutions from the consistently linearized eigenproblem by means of finite difference approximations |
S0045794915000449 | A robust finite element procedure for modelling the localised fracture of reinforced concrete beams at elevated temperatures is developed. In this model a reinforced concrete beam is represented as an assembly of 4-node quadrilateral plain concrete, 3-node main reinforcing steel bar, and 2-node bond-link elements. The ... | An extended finite element model for modelling localised fracture of reinforced concrete beams in fire |
S0045794915001418 | This paper focuses on the application of structural topology optimisation technique to design steel perforated I-sections as a first attempt to replace the traditional cellular beams and better understand the mechanisms involved when subjected to bending and shear actions. An optimum web opening configuration is sugges... | Application of structural topology optimisation to perforated steel beams |
S0045794915003053 | We extend our existing hp-finite element framework for non-conducting magnetic fluids (Jin et al., 2014) to the treatment of conducting magnetic fluids including magnetostriction effects in both two- and three-dimensions. In particular, we present, to the best of our knowledge, the first computational treatment of magn... | hp-Finite element solution of coupled stationary magnetohydrodynamics problems including magnetostrictive effects |
S0045794915003302 | An elliptical ring test method is proposed to replace the circular ring test recommended by ASTM and AASHTO for faster and more reliable assessment of cracking tendency of concrete. Numerical models are also established to simulate stress development and crack initiation/propagation in restrained concrete rings. Cracki... | Effects of specimen size on assessment of shrinkage cracking of concrete via elliptical rings: Thin vs. thick |
S0045794916300608 | Tensile fabric membranes present opportunities for efficient structures, combining the cladding and support structure. Such structures must be doubly curved to resist external loads, but doubly curved surfaces cannot be formed from flat fabric without distorting. Computational methods of patterning are used to find the... | Patterning of tensile fabric structures with a discrete element model using dynamic relaxation |
S0097849313000447 | In this work, we propose and experiment an original solution to 3D face recognition that supports face matching also in the case of probe scans with missing parts. In the proposed approach, distinguishing traits of the face are captured by first extracting 3D keypoints of the scan and then measuring how the face surfac... | Matching 3D face scans using interest points and local histogram descriptors |
S0097849313000459 | Recent hardware technologies have enabled acquisition of 3D point clouds from real world scenes in real time. A variety of interactive applications with the 3D world can be developed on top of this new technological scenario. However, a main problem that still remains is that most processing techniques for such 3D poin... | Efficient 3D object recognition using foveated point clouds |
S0097849313000460 | Recent results in geometry processing have shown that shape segmentation, comparison, and analysis can be successfully addressed through the spectral properties of the Laplace–Beltrami operator, which is involved in the harmonic equation, the Laplacian eigenproblem, the heat diffusion equation, and the definition of sp... | An interactive analysis of harmonic and diffusion equations on discrete 3D shapes |
S0097849313000472 | There are hundreds of distinct 3D, CAD and engineering file formats. As engineering design and analysis has become increasingly digital, the proliferation of file formats has created many problems for data preservation, data exchange, and interoperability. In some situations, physical file objects exist on legacy media... | A flexible and extensible approach to automated CAD/CAM format classification |
S0097849313000484 | In this paper, we present a new approach for generic 3D shape retrieval based on a mesh partitioning scheme. Our method combines a mesh global description and mesh partition descriptions to represent a 3D shape. The partitioning is useful because it helps us to extract additional information in a more local sense. Thus... | Data-aware 3D partitioning for generic shape retrieval |
S0097849313000551 | This paper focuses on the problem of 3D shape categorization. For a given set of training 3D shapes, a 3D shape recognition system must be able to predict the class label for a test 3D shape. We introduce a novel discriminative approach for recognizing 3D shape categories which is based on a 3D Spatial Pyramid (3DSP) d... | Evaluating 3D spatial pyramids for classifying 3D shapes |
S0097849313000575 | We present an efficient and robust algorithm for the landmark transfer on 3D meshes that are approximately isometric. Given one or more custom landmarks placed by the user on a source mesh, our method efficiently computes corresponding landmarks on a family of target meshes. The technique is useful when a user is inter... | Landmark transfer with minimal graph |
S0097849313001052 | Illumination is one of the key components in the creation of realistic renderings of scenes containing virtual objects. In this paper, we present a set of novel algorithms and data structures for visualization, processing and rendering with real world lighting conditions captured using High Dynamic Range (HDR) video. T... | Spatially varying image based lighting using HDR-video |
S0097849314000648 | In this paper, we propose a method for estimating the camera pose for an environment in which the intrinsic camera parameters change dynamically. In video see-through augmented reality (AR) technology, image-based methods for estimating the camera pose are used to superimpose virtual objects onto the real environment. ... | Camera pose estimation under dynamic intrinsic parameter change for augmented reality |
S0097849314000661 | We present a robust approach for reconstructing the main architectural structure of complex indoor environments given a set of cluttered 3D input range scans. Our method uses an efficient occlusion-aware process to extract planar patches as candidate walls, separating them from clutter and coping with missing data, and... | Automatic room detection and reconstruction in cluttered indoor environments with complex room layouts |
S0097849314001411 | Dehydrated core/shell fruits, such as jujubes, raisins and plums, show very complex buckles and wrinkles on their exocarp. It is a challenging task to model such complicated patterns and their evolution in a virtual environment even for professional animators. This paper presents a unified physically-based approach to ... | Dehydration of core/shell fruits |
S0097849315001119 | We present an automatic approach for the reconstruction of parametric 3D building models from indoor point clouds. While recently developed methods in this domain focus on mere local surface reconstructions which enable e.g. efficient visualization, our approach aims for a volumetric, parametric building model that add... | Automatic reconstruction of parametric building models from indoor point clouds |
S0097849315001387 | Estimating surface normals from a single image alone is a challenging problem. Previous work made various simplifications and focused on special cases, such as having directional lighting, known reflectance maps, etc. This is problematic, however, as shape from shading becomes impractical outside the lab. We argue that... | A discriminative approach to perspective shape from shading in uncalibrated illumination |
S0097849315001806 | Handheld Augmented Reality (HAR) has the potential to introduce Augmented Reality (AR) to large audiences due to the widespread use of suitable handheld devices. However, many of the current HAR systems are not considered very practical and they do not fully answer to the needs of the users. One of the challenging area... | SlidAR: A 3D positioning method for SLAM-based handheld augmented reality |
S0097849316300218 | In this paper we present an intuitive tool suitable for 2D artists using touch-enabled pen tablets. An artist-oriented tool should be easy-to-use, real-time, versatile, and locally refinable. Our approach uses an interactive system for 3D character posing from 2D strokes. We employ a closed-form solution for the 2D str... | Artist-oriented 3D character posing from 2D strokes |
S0097849316300504 | Shape registration is fundamental to 3D object acquisition; it is used to fuse scans from multiple views. Existing algorithms mainly utilize geometric information to determine alignment, but this typically results in noticeable misalignment of textures (i.e. surface colors) when using RGB-depth cameras. We address this... | Color-aware surface registration |
S0098300413001799 | Analysis of geophysical borehole data can often be hampered by too much information and noise in the trace leading to subjective interpretation of layer boundaries. Wavelet analysis of borehole data has provided an effective way of mitigating noise and delineating relevant boundaries. We extend wavelet analysis by prov... | Derivative analysis for layer selection of geophysical borehole logs |
S0098300413002124 | The Google Maps/Earth GIS has been integrated with a microscale meteorological model to improve the system's functionality and ease of use. Almost all the components of the model system, including the terrain data processing, morphological data generation, meteorological data gathering and initialization, and displayin... | Integration of Google Maps/Earth with microscale meteorology models and data visualization |
S0098300413002185 | An image processing software has been developed which allows quantitative analysis of multi- and hyperspectral data from oceanic, coastal and inland waters. It has been implemented into the Water Colour Simulator WASI, which is a tool for the simulation and analysis of optical properties and light field parameters of d... | WASI-2D: A software tool for regionally optimized analysis of imaging spectrometer data from deep and shallow waters |
S0098300413002719 | Data semantics play an extremely significant role in spatial data infrastructures by providing semantic specifications to geospatial data and enabling in this way data sharing and interoperability. By applying, on the fly, composite geospatial processes on the above data it is possible to produce valuable geoinformatio... | Geospatial services in the Cloud |
S0098300413002720 | Machine learning algorithms (MLAs) are a powerful group of data-driven inference tools that offer an automated means of recognizing patterns in high-dimensional data. Hence, there is much scope for the application of MLAs to the rapidly increasing volumes of remotely sensed geophysical data for geological mapping probl... | Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information |
S0098300413002951 | The internal orientation of fossil mass occurrences can be exploited as useful source of information about their primary depositional conditions. A series of studies, using different kinds of fossils, especially those with elongated shape (e.g., elongated gastropods), deal with their orientation and the subsequent reco... | Computed reconstruction of spatial ammonoid-shell orientation captured from digitized grinding and landmark data |
S0098300413002975 | GIS multicriteria decision analysis (MCDA) techniques are increasingly used in landslide susceptibility mapping for the prediction of future hazards, land use planning, as well as for hazard preparedness. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are open to multiple t... | A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis |
S0098300414000259 | In seismology, waveform cross correlation has been used for years to produce high-precision hypocenter locations and for sensitive detectors. Because correlated seismograms generally are found only at small hypocenter separation distances, correlation detectors have historically been reserved for spotlight purposes. Ho... | Large-scale seismic signal analysis with Hadoop |
S0098300414001873 | Landslide susceptibility mapping (LSM) is making increasing use of GIS-based spatial analysis in combination with multi-criteria evaluation (MCE) methods. We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Our method is based on f... | A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping |
S0098300414002532 | The depth of valley incision and valley volume are important parameters in understanding the geologic history of early Mars, because they are related to the amount sediments eroded and the quantity of water needed to create the valley networks (VNs). With readily available digital elevation model (DEM) data, the Black ... | A progressive black top hat transformation algorithm for estimating valley volumes on Mars |
S0098300414002660 | We present an algorithm developed for GIS-applications in order to produce maps of landside susceptibility in postglacial and glacial sediments in Sweden. The algorithm operates on detailed topographic and Quaternary deposit data. We compare our algorithm to two similar computational schemes based on a global visibilit... | A fast and efficient algorithm to map prerequisites of landslides in sensitive clays based on detailed soil and topographical information |
S0098300414002829 | The EverVIEW Data Viewer is a cross-platform desktop application that combines and builds upon multiple open source libraries to help users to explore spatially-explicit gridded data stored in Network Common Data Form (NetCDF). Datasets are displayed across multiple side-by-side geographic or tabular displays, showing ... | EverVIEW: A visualization platform for hydrologic and Earth science gridded data |
S0098300414002866 | X-ray micro-tomography (XMT) is increasingly used for the quantitative analysis of the volumes of features within the 3D images. As with any measurement, there will be error and uncertainty associated with these measurements. In this paper a method for quantifying both the systematic and random components of this error... | Quantifying and minimising systematic and random errors in X-ray micro-tomography based volume measurements |
S0098300415000928 | The internal structure and petrophysical property distribution of fault zones are commonly exceedingly complex compared to the surrounding host rock from which they are derived. This in turn produces highly complex fluid flow patterns which affect petroleum migration and trapping as well as reservoir behavior during pr... | A method for generating volumetric fault zone grids for pillar gridded reservoir models |
S0098300415001089 | Portable gas analyzers have become a powerful tool for the real-time monitoring of volcanic gas composition over the last decade. Gas analyzers make it possible to retrieve in real-time the chemical composition of a fumarole system or a plume in an open-conduit volcano via periodic field-deployments or at permanent sta... | Ratiocalc: Software for processing data from multicomponent volcanic gas analyzers |
S0098300415001466 | Metrics to track seasonal transitions are needed for a wide variety of ecological and climatological applications. Here a MATLAB©toolkit for calculating spring indices is documented. The spring indices have been widely used in earlier studies to model phenological variability and change through time across a wide range... | A Matlab© toolbox for calculating spring indices from daily meteorological data |
S0098300415300625 | Spectral induced polarisation (SIP) measurements capture the low-frequency electrical properties of soils and rocks and provide a non-invasive means to access lithological, hydrogeological, and geochemical properties of the subsurface. The Debye decomposition (DD) approach is now increasingly being used to analyse SIP ... | Debye decomposition of time-lapse spectral induced polarisation data |
S0098300415300832 | This paper presents a fully automatic method for seismic event classification within a sparse regional seismograph network. The method is based on a supervised pattern recognition technique called the Support Vector Machine (SVM). The classification relies on differences in signal energy distribution between natural an... | Automatic classification of seismic events within a regional seismograph network |
S0098300416300206 | In this study, enhancements to the numerical representation of sluice gates and turbines were made to the hydro-environmental model Environmental Fluid Dynamics Code (EFDC), and applied to the Severn Tidal Power Group Cardiff–Weston Barrage. The extended domain of the EFDC Continental Shelf Model (CSM) allows far-field... | Impact of representation of hydraulic structures in modelling a Severn barrage |
S0098300416300498 | The static offsets caused by earthquakes are well described by elastostatic models with a discontinuity in the displacement along the fault. A traditional approach to model this discontinuity is to align the numerical mesh with the fault and solve the equations using finite elements. However, this distorted mesh can be... | Gamra: Simple meshing for complex earthquakes |
S0140366413001229 | Cognitive radio refers to an intelligent radio with the capability of sensing the radio environment and dynamically reconfiguring the operating parameters. Recent research has focused on using cognitive radios in ad hoc environments. Spectrum sensing is the most important aspect of successful cognitive radio ad hoc net... | Distributed cooperative spectrum sensing in cognitive radio for ad hoc networks |
S0140366414000255 | A big portion of Internet traffic nowadays is video. A good understanding of user behavior in online Video-on-Demand (VoD) systems can help us design, configure and manage video content distribution. With the help of a major VoD service provider, we conducted a detailed study of user behavior watching streamed videos o... | A study of user behavior in online VoD services |
S0140366414000449 | Software-Defined Networking (SDN) has been widely recognized as a promising way to deploy new services and protocols in future networks. The ability to “program” the network enables applications to create innovative new services inside the network itself. However, current SDN programmability comes with downsides that c... | Network Hypervisors: Enhancing SDN Infrastructure |
S0140366414000875 | Traditional wireless sensor networks (WSNs) are constrained by limited battery energy that powers the sensor nodes, which impedes the large-scale deployment of WSNs. Wireless power transfer technology provides a promising way to solve this problem. With such novel technology, recent works propose to use a single mobile... | Minimizing the number of mobile chargers for large-scale wireless rechargeable sensor networks |
S0140366414000887 | In wireless communication systems users compete for communication opportunities through a medium access control protocol. Previous research has shown that selfish behavior in medium access games could lead to inefficient and unfair resource allocation. We introduce a new notion of reciprocity in a medium access game an... | Reciprocity, fairness and learning in medium access control games |
S0140366414000929 | This paper examines the problem of rate allocation for multicasting over slow Rayleigh fading channels using network coding. In the proposed model, the network is treated as a collection of Rayleigh fading multiple access channels. In this model, rate allocation scheme that is based solely on the statistics of the chan... | Topology management and outage optimization for multicasting over slowly fading multiple access networks |
S0140366414000930 | Femtocells offer many advantages in wireless networks such as improved cell capacity and coverage in indoor areas. As these femtocells can be deployed in an ad hoc manner by different consumers in the same frequency band, the femtocells can interfere with each other. To fully realize the potential of the femtocells, it... | Resource allocation using Link State Propagation in OFDMA femto networks |
S0140366414000954 | In this paper, we introduce a moving target defense mechanism that defends authenticated clients against Internet service DDoS attacks. Our mechanism employs a group of dynamic, hidden proxies to relay traffic between authenticated clients and servers. By continuously replacing attacked proxies with backup proxies and ... | A moving target DDoS defense mechanism |
S0140366414000966 | Vehicular safety is an emergent application in inter-vehicular communications. As this application is based on fast multi-hop message propagation, including information such as position, direction, and speed, it is crucial for the data exchange system of the vehicular application to be resilient to security attacks. To... | A secure alert messaging system for safe driving |
S0140366414002461 | A fundamental goal of datacenter networking is to efficiently interconnect a large number of servers in a cost-effective way. Inspired by the commodity servers in today’s data centers that come with dual-port, we consider how to design low-cost, robust, and symmetrical network structures for containerized data centers ... | DCube: A family of network structures for containerized data centers using dual-port servers |
S0140366414002497 | Having in mind multimedia systems applications, we propose a novel model-based approach to estimate the clock-offset between two nodes on the Internet. Different than current clock-offset schemes in the literature, which are iterative in nature, our scheme is aimed at getting a good non-iterative clock-offset estimatio... | A new model-based clock-offset approximation over IP networks |
S0140366414002801 | The Smart Grid is expected to utilize a wireless infrastructure for power data collection in its Advanced Metering Infrastructure (AMI) applications. One of the options to implement such a network infrastructure is to use a wireless mesh network based on IEEE 802.11s mesh standard. However, IEEE 802.11s standard relies... | PARP-S: A secure piggybacking-based ARP for IEEE 802.11s-based Smart Grid AMI networks |
S0140366414002825 | The massive integration of renewable energy sources in the power grid ecosystem with the aim of reducing carbon emissions must cope with their intrinsically intermittent and unpredictable nature. Therefore, the grid must improve its capability of controlling the energy demand by adapting the power consumption curve to ... | Privacy-friendly load scheduling of deferrable and interruptible domestic appliances in Smart Grids |
S0140366414002989 | Smart technologies play a key role in sustainable economic growth. They transform houses, offices, factories, and even cities into autonomic, self-controlled systems acting often without human intervention and thus sparing people routine connected with information collecting and processing. The paper gives an overview ... | A survey on IEEE 802.11ah: An enabling networking technology for smart cities |
S0140366414002990 | Vehicular Ad-Hoc Networks (VANETs) will play an important role in Smart Cities and will support the development of not only safety applications, but also car smart video surveillance services. Recent improvements in multimedia over VANETs allow drivers, passengers, and rescue teams to capture, share, and access on-road... | A distributed beaconless routing protocol for real-time video dissemination in multimedia VANETs |
S0140366414003004 | Mobile network providers face an ever-increasing number of mobile devices requesting similarly increasing amounts of data. In this article, we present a two-step approach to modeling and simulating the amounts of data produced by mobile devices based on applications that are highly utilized on the network. In the first... | Capacity level modeling of mobile device bandwidth requirements employing high utilization mobile applications |
S0140366414003120 | Multi-tier networks comprising of macro-cellular network overlaid with less power, short range, home-base station like femtocells provide an economically feasible solution for meeting the unrelenting traffic demands. However, femtocells that use co-channel allocation with macrocells result in cross-tier interference wh... | Orthogonal circular polarized transmission for interference control in femto–macro networks |
S0140366414003326 | Barrier coverage is one of the most important applications of wireless sensor networks. It is used to detect mobile objects are entering into the boundary of a sensor network field. Energy efficiency is one of the main concerns in barrier coverage for wireless sensor networks and its solution can be widely used in sens... | Stochastic barrier coverage in wireless sensor networks based on distributed learning automata |
S0140366414003648 | The widespread use of mobile and high definition video devices is changing Internet traffic, with a significant increase in multimedia content, especially video on demand (VoD) and Internet protocol television (IPTV). However, the success of these services is strongly related to the video quality perceived as by the us... | A concise review of the quality of experience assessment for video streaming |
S0140366414003661 | Internet Protocol Television (IPTV) traffic streaming over vehicular ad hoc networks (VANETs) challenge could be distinguished by the frequent VANETs topology change, paired with real-time streaming of IPTV traffic which requires high bandwidth and strict performance service quality. For VANETs to deliver better qualit... | Network centric QoS performance evaluation of IPTV transmission quality over VANETs |
S0140366414003697 | Resource allocation is an important issue that has not been well resolved in multi-relay multi-user Decode-and-Forward (DF) OFDM systems with subcarrier-pairing at relays in the presence of heterogeneous flows, i.e., simultaneous real-time (RT) and non-real-time (NRT) traffic. In this paper, we address the issue by fir... | Resource allocation in multi-relay multi-user OFDM systems for heterogeneous traffic |
S0140366415000328 | Efficient message dissemination is of utmost importance to propel the development of useful services and applications in Vehicular ad hoc Networks (VANETs). In this paper, we propose a novel adaptive system that allows each vehicle to automatically adopt the most suitable dissemination scheme in order to fit the warnin... | RTAD: A real-time adaptive dissemination system for VANETs |
S0140366415000560 | In typical mobile sensing architectures, sensing data are collected from users and stored in centralized servers at third parties, making it difficult to effectively protect users’ privacy. A better way to protect privacy is to upload sensing data on personal data stores, which are owned and controlled by the users, en... | A platform for privacy protection of data requesters and data providers in mobile sensing |
S0140366415000572 | Currently, more and more mobile terminals embed a number of sensors and generate massive data. Effective utilization to such information can enable people to get more personalized services, and also help service providers to sell their products accurately. As the information may contain privacy information of people, t... | Achieving efficient and privacy-preserving multi-feature search for mobile sensing |
S0140366415000584 | At present, in mobile sensing environment, almost all the existing secure large data objects dissemination algorithms are centralized. The centralized servers publicize the sensing tasks and are also the authorized parties to initiate sensed data dissemination. This paper proposes a novel social role and network coding... | Social role-based secure large data objects dissemination in mobile sensing environment |
S0140366415000729 | Mobile phone sensing is a new paradigm which takes advantage of smart phones to collect and analyze data at large scale but with a low cost. Supporting pervasive communications among mobile devices in such a large-scale mobile social network becomes a key challenge for this new mobile sensing system. One possible solut... | Social based throwbox placement schemes for large-scale mobile social delay tolerant networks |
S0140366415001279 | Poor medication adherence is a prevalent medical problem resulting in significant morbidity and mortality, especially for elder adults. In this paper, we propose a Socialized Prompting System (SPS), which combines ubiquitous sensors in the smart home and mobile social networks to improve medication adherence. Ubiquitou... | Facilitating medication adherence in elderly care using ubiquitous sensors and mobile social networks |
S0140366415001589 | With the rapid proliferation of data centers, their energy consumption and greenhouse gas emissions have significantly increased. Some efforts have been made to control and lower energy consumption of data centers such as, proportional energy consuming hardware, dynamic provisioning, and virtualization machine techniqu... | Energy efficient virtual network embedding for green data centers using data center topology and future migration |
S0140366415002121 | Smart grid combines a set of functionalities that can only be achieved through ubiquitous sensing and communication across the electrical grid. The communication infrastructure must be able to cope with an increasing number of traffic types which is as a result of increased control and monitoring, penetration of renewa... | Resilient communication for smart grid ubiquitous sensor network: State of the art and prospects for next generation |
S0140366415002169 | Location-based social networks (LBSNs) have recently attracted a lot of attention due to the number of novel services they can offer. Prior work on analysis of LBSNs has mainly focused on the social part of these systems. Even though it is important to know how different the structure of the social graph of an LBSN is ... | Socio-spatial affiliation networks |
S0140366415002248 | Distributed reflective denial of service (DRDoS) attacks, especially those based on UDP reflection and amplification, can generate hundreds of gigabits per second of attack traffic, and have become a significant threat to Internet security. In this paper we show that an attacker can further make the DRDoS attack more d... | SF-DRDoS: The store-and-flood distributed reflective denial of service attack |
S0140366415002273 | Location-aware applications are one of the biggest innovations brought by the smartphone era, and are effectively changing our everyday lives. But we are only starting to grasp the privacy risks associated with constant tracking of our whereabouts. In order to continue using location-based services in the future withou... | Location privacy without mutual trust: The spatial Bloom filter |
S0140366415002297 | In online systems of videos, music or books, users’ behaviors are disclosed to the recommender systems to learn their interests. Such a disclosure raises a serious concern in the public for the leak of users’ privacy. Meanwhile, some algorithms are proposed to obfuscate users’ historical behavior records to protect use... | Can user privacy and recommendation performance be preserved simultaneously? |
S0140366415002303 | In a question-driven survey, the answers to one question may decide which question is presented next. In this case, encrypting the answers of the participants is not enough to protect their privacy since the system is able to learn them by inspection of the next question the participants request. In this article, we ex... | Private surveys on VoIP |
S0140366415002315 | High quality online video streaming, both live and on-demand, has become an essential part of many consumers’ lives. The popularity of video streaming, however, places a burden on the underlying network infrastructure. This is because it needs to be capable of delivering significant amounts of data in a time-critical m... | Using Software Defined Networking to enhance the delivery of Video-on-Demand |
S0140366415002327 | Wireless sensor networks adopting static data gathering may suffer from unbalanced energy consumption due to non-uniform packet relay. Although mobile data gathering provides a reasonable approach to solving this problem, it inevitably introduces longer data collection latency due to the use of mobile data collectors. ... | Mobility assisted data gathering with solar irradiance awareness in heterogeneous energy replenishable wireless sensor networks |
S0140366415002339 | Social exchange theory proposes that social behavior is the result of an exchange process. The purpose of this exchange is to maximize benefits and minimize costs. Online social networks seem to be an ideal platform for social exchange because they provide an opportunity to keep social relations with a relatively low c... | Social exchange in online social networks. The reciprocity phenomenon on Facebook |
S0140366415002340 | The stock market is a popular topic in Twitter. The number of tweets concerning a stock varies over days, and sometimes exhibits a significant spike. In this paper, we investigate the relationship between Twitter volume spikes and stock options pricing. We start with the underlying assumption of the Black–Scholes model... | Twitter volume spikes and stock options pricing |
S0140366415002364 | Large content providers, such as Google, Yahoo, and Microsoft, aim to directly connect with consumer networks and place the content closer to end users. Exchanging traffic directly between end users and content providers can reduce the cost of transit services. However, direct connection to all end users is simply not ... | Routing-policy aware peering for large content providers |
S0140366415002406 | Complex networks facilitate the understanding of natural and man-made processes and are classified based on the concepts they model: biological, technological, social or semantic. The relevant subgraphs in these networks, called network motifs, are demonstrated to show core aspects of network functionality and can be u... | Uncovering the fingerprint of online social networks using a network motif based approach |
S0140366415002431 | Unified communications has enabled seamless data sharing between multiple devices running on various platforms. Traditionally, organizations use local servers to store data and employees access the data using desktops with predefined security policies. In the era of unified communications, employees exploit the advanta... | Robust access control framework for mobile cloud computing network |
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