Then the application of SimEvents in networked control system -NCS is proposed . The simulations show that SimEvents is an effective simulation tool for network . We resolve the channel assignment problem by introducing maximal clique in link conflict graph , which uses greedy algorithm to assign channel in a distributed manner while maintaining network connectivity . Simulation results show that ours algorithm significantly improves network performance in terms of throughput and is comparable to the best prior centralized scheme that jointly considers routing and channel assignment . This paper investigates the effectiveness of trust and reputation model ( TRM ) in clustering as an approach to achieve higher network performance in cognitive radio ( CR ) networks . Reinforcement learning ( RL ) based TRM has been adopted as an appropriate tool to increase the efficacy of TRM . The method comprises the steps that SIM card information is stored in a safe area of the mobile terminal system ; when the mobile terminal system is started , a main control module starts a virtual SIM card service , and a virtual SIM card is used as a work SIM card ; when a mobile communication network service is executed , a communication module of the mobile terminal system starts an access request to the SIM card , the virtual SIM card service executes the access request according to the SIM card information of the safe area and feeds back an execution result to the communication module . Due to the fact that the technical scheme of the virtual SIM card is put forward , the achieving process of the mobile communication network service does not need to rely on a solid SIM card , corresponding operations can be executed through the virtual SIM card , the purpose of accessing to a wireless communication network without the solid SIM card is achieved , the number safety of a user is further protected , the size , the power consumption and other indexes of the mobile terminal can be reduced easily . The classification of unstructured P2P multicast video streaming is the premise for playing online linkage and real-time evidence in the process of network monitoring management . Based on the classification method in the preliminary research , an improved classification method is proposed . The implementation also has been verified with real use cases which are tutorials of courses in college . Users can build OpenFlow environment upon the shared and virtual infrastructure for network research and education purposes . Results also revealed that not only this network emulation testbed meets most requirements that real machine environment could provide , but also acquires benefits from virtualization . However , the number of transmit nodes is often limited by the system costs and available resources . To address this issue , we present the approach of topology optimization of bistatic radar network with limited number of transmit nodes . This problem is formulated as convex optimization problem , where the topology of bistatic radar network with fixed number of transmit nodes and minimal number of receive nodes is selected in order to meet prescribed localization accuracy requirements . Signals.- Narrow-Band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals.- Blind Channel Identification in ( 2 x1 ) Alamouti Coded Systems Based on Maximizing the Eigenvalue Spread of Cumulant Matrices.- ICA Mixture Modeling for the Classification of Materials in Impact-Echo Testing.- Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets.- High-Energy Particles Online Discriminators Based on Nonlinear Independent Components.- Network Traffic Flow Separation and Control Through a Hybrid ICA-Fuzzy Adaptive Algorithm.- Special Session on Evaluation.- The 2008 Signal Separation Evaluation Campaign : A Community-Based Approach to Large-Scale Evaluation.- Stereo Source Separation and Source Counting with MAP Estimation with Dirichlet Prior Considering Spatial Aliasing Problem.- Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation.- Application of Two Time-Domain Convolutive Blind Source Separation Algorithms to the 2008 Signal Separation Evaluation Campaign ( SiSEC ) Data.- Permutation Correction in Blind Source Separation Using The development of network technology brings about thorough change for the way of Mankind communication , network communication splitting up from realistic communication has provided a new dialogue method for the communication of present persons , we should attach importance to network language and normalization education of language so as to eliminate the blind spot of network language education . The CPSP-tools package provides programs to solve exactly and completely the problems typical of studies using 3D lattice protein models . Among the tasks addressed are the prediction of ( all ) globally optimal and/or suboptimal structures as well as sequence design and neutral network exploration . ResultsIn contrast to stochastic approaches , which are not capable of answering many fundamental questions , our methods are based on fast , non-heuristic techniques . An instance of the Network Steiner Problem consists of an undirected graph with edge lengths and a subset of vertices ; the goal is to find a minimum cost Steiner tree of the given subset ( i.e. , minimum cost subset of edges which spans it ) . An 11/6-approximation algorithm for this problem is given . Great significance shall be attached to the research on how to improve reliability of user-end power supply with limited expense by coordinating reliability and economic efficiency of power grid , so that to meet the increasing demand on reliability of electric power , and achieve considerable economic effectiveness . In this paper , process of power distribution network reliability calculation based on minimum-path failure mode and effect analysis mode is expounded , and a demonstration on calculation of power distribution network reliability is provided . Furthermore , cost-benefit analysis , which includes calculations of cost and benefit of reliability , is introduced to reflect reliability efficiency through power interruption cost calculation . They are also the foundation of a class of output sensitive algorithms which use them to compute local community structure information in time sublinear to the size of the input graph [ reference ] . It is this connection to local structure that motivates us to use a stream of short random walks as our basic tool for extracting information from a network . In addition to capturing community information , using random walks as the basis for our algorithm gives us two other desirable properties . The results in Table [ reference ] confirm that removing the first ReLU as in ( b ) and ( d ) in Figure [ reference ] , enhances the performance . Consequently , provided that an appropriate number of ReLUs are used to guarantee the nonlinearity of the feature space manifold , the remaining ReLUs could be removed to improve network performance . subsubsection : BN Layers in a Building Block section : Introduction Many important tasks in network analysis involve predictions over nodes and edges . In a typical node classification task , we are interested in predicting the most probable labels of nodes in a network . [ reference ] . Most of the parameters are required to extract features in the backbone network , subnets and PRN are relatively lightweight networks . So most of the computation time is spent on the feature extraction stage . Although not fully decoupled , the target network in the DQN architecture provides a natural candidate for the second value function , without having to introduce additional networks . We therefore propose to evaluate the greedy policy according to the online network , but using the target network to estimate its value . In reference to both Double Q - learning and DQN , we refer to the resulting algorithm as Double DQN . For example , our model can produce , and super - resolution results in one feed - forward pass . This property is particularly useful for resource - aware applications , e.g. , mobile devices or network applications . subsection : Implementation and training details The problem becomes much more challenging when a real world information network is concerned , which typically contains millions of nodes and billions of edges . For example , the Twitter followee - follower network contains 175 million active users and around twenty billion edges in 2012 . Most existing graph embedding algorithms do not scale for networks of this size . subsubsection : Language Network We start with the results on the language network , which contains two million nodes and a billion edges . Two applications are used to evaluate the effectiveness of the learned embeddings : word analogy and document classification . We provide a few examples from the PTB test set which compare the prediction performance of 1500 unit VD - LSTM and 1500 unit VD - LSTM + REAL in table 4 . We would like to note that prediction performance of VD - LSTM + RE is similar to VD - LSTM + REAL for the large network . In this work , we introduced a novel loss framework for language modeling . 2 2 max - pooling with a stride of 2 was applied after each stack . For network regularization we used the following drop - out rate for the last layer of each stack ( ) . The - weight decay regularization term was set to . [ reference ] shows at the left panel a stochastic gradient example on CelebA for original GAN training ( orig ) , which often leads to oscillations , and the TTUR . On the right panel an example of a 4 node network flow problem of Zhang et al . is shown . The distance between the actual parameter and its optimum for an one time - scale update rule is shown across iterates . These come with different APIs , leading to an adaptation effort whenever a new library is integrated . While such abstractions are typical for streaming applications , a generic structure like that of the JMF is rarely found in free , open source systems . Existing approaches implement either hard-coded sequences , or they consider frameworks that allow the specification of an end-to-end behavior for complex multimedia systems . The focus of the research presented in this paper was to develop a novel way to support voice over IP ( VoIP ) and streaming video applications on mobile devices over a 802.11 access network Fast handoff in a wireless local area network ( WLAN ) environment has been the research topic of many previous studies , the majority of which described ways to optimize the three main 802.11 handoff phases -scanning , authentication , and reassociation . In this paper however we propose a fast handoff scheme that skips all mentioned phases . The increasing demand for streaming video applications on the Internet motivates the problem of building an adaptive rate control scheme for the time-varying network condition . The time-varying available bandwidth and latency make the real-time streaming applications difficult to achieve high bandwidth utilization and video quality at receivers . The experimental results gathered through an accurate simulation model of ReCoM show performance figures encouragingly better than other DSP or alternative reconfigurable systems . Moreover , they demonstrate that ReCoM is very scalable and it successfully extracts the parallelism from streamed applications . This paper presents a software implementation of a very fast parallel Reed-Solomon decoder on the second generation of MorphoSys reconfigurable computation platform , which is targeting on streamed applications such as multimedia and DSP . Numerous modifications of the first-generation of the architecture have made a scalable computation and communication intensive architecture capable of extracting parallelisms of fine grain in instruction level . The invention multimedia to create a multimedia streaming service and the application streaming intended to run to integrate services , to show the user to run the multimedia data , or application data , for receiving a control signal from the user , the user interface , multi-media streaming session receiving the streaming data , and multimedia streaming control running through the user interface module , an application that controls an execution of a streaming based application to generate an application streaming session program streaming control module and the multimedia streaming control module and the application , streaming control module the creation , and a control module for performing a synchronization between the multimedia streaming session with the application streaming session . User interfaces , multimedia streaming control module , application streaming control module , control module , and multimedia streaming services , applications , streaming services In this paper , we present a novel use of an FPGA as a computing element for streaming based application . We investigate the virtualized execution of dynamic reconfigurable tasks . Streaming features applications pose challenges for feature selection . For such dynamic features applications : ( a ) features are sequentially generated and are processed one by one upon their arrival while the number of instances/points remains fixed ; and ( b ) the complete feature space is not known in advance . Existing approaches require class labels as a guide to select the representative features . However , in real-world applications most data are not labeled and , moreover , manual labeling is costly . A new algorithm , called Unsupervised Feature Selection for Streaming Features ( UFSSF ) , is proposed in this paper to select representative features in streaming features applications without the need to know the features or class labels in advance . UFSSF extends the k-mean clustering algorithm to include linearly dependent similarity measures so as to incrementally decide whether to add the newly arrived feature to the existing set of representative features . This approach is based on the Single Source Multicast ( SSM ) model as the underlying network infrastructure . Though the SSM model might , at first glance , look more appropriate for streaming-like applications , we show that it is possible to take advantage of such a communication layer to solve the new issues that the application layer has to address in the SSM environment . We even outline that SSM has benefits over Any Source Multicast ( ASM ) , in that it provides greater flexibility in flow management . While research in DTN has mainly addressed the problem of routing in various mobility contexts with the aim to improve bundle delay delivery and data delivery ratio , little attention has been paid to applications . This paper investigates the support of streaming-like applications over DTN . We identify how DTN characteristics impact on the overall performances of these applications and present Tetrys , a transport layer mechanism , which enables robust streaming over DTN . The conference , now in its ninth year , provides a forum where researchers meet to exchange ideas in all areas of computer science . True to its roots , this year 's conference comprises a set of diversified and interdisciplinary papers and presentations on novel processors and network technologies , supervised memories , energy efficient computing , streaming applications and systems , and performance modeling . New this year are two special sessions on the use artificial intelligence in games and European Exascale projects . For modeling modern streaming-oriented applications , Process Networks ( PNs ) are used to describe systems with changing behavior , which must be mapped on a concurrent architecture to meet the performance and energy constraints of embedded devices . Finding an optimal mapping of Process Networks to the constrained architecture presumes that the behavior of the Process Network is statically known . The low-power consumption wireless sensor networks are the hotspot research of current sensor technology . Sensor networks server and node are necessary part in the wireless sensor networks and the base station has some all-purpose characteristic . Using experimental design , the effect of each explanatory variable on response variables is obtained independently , and when interactions are expected to exist , the effects can be calculated . An experiment on the quantification of sensor characteristics measured by sensor evaluation was carried out . The cutting quality of kitchen knives was considered as an example of sensory characteristics . The most complex sorting task has been named bin picking . Due to the fact that in such application the system has not a certain previous knowledge of the environment , the integration of sensors as well as algorithms for the sensor evaluation and computation of a collision free path is vital to achieve a robust system . Networked intelligent processors enable users and systems integrators to automatically configure their measurement automation systems for analog sensors . NASA and leading sensor vendors are working together to apply the IEEE 1451 standard for adding plug-and-play capabilities for wireless analog transducers through the use of a Transducer Electronic Data Sheet ( TEDS ) in order to simplify sensor setup , use , and maintenance , to automatically obtain calibration data , and to eliminate manual data entry and error . A TEDS contains the critical information needed by an instrument or measurement system to identify , characterize , interface , and properly use the signal from an analog sensor . For this application , we implemented a mapping framework that incrementally generates a dense georeferenced 3D point cloud , a digital surface model , and an orthomosaic and we support our design choices with respect to computational costs and its performance in diverse terrain . For accurate estimation of the camera poses , we employ a cost-efficient sensor setup consisting of a monocular visual-inertial camera rig as well as a Global Positioning System receiver , which we fuse using an incremental smoothing algorithm . We validate our mapping framework on a synthetic dataset embedded in a hardware-in-the-loop environment and in a real-world experiment using a fixed-wing UAV . The differences between the approaches and their effect on the model quality are analyzed and discussed regarding their feasibility for real-world applications . Fewer requirements on the initial system knowledge suggest the usage of Mutual Information as an objective for optimizing the sensor setup , although the simpler application and higher robustness are accompanied by a slightly increased prediction error . Measurements show that the proposed circuit provides a reference voltage of around 597 mV and correctly operates with a supply voltage ranging from 3.3 V to 1 V and temperature variations from −40 to 85 ° C . The overall current consumption is below 1 μA , thus making it suitable for RF-powered and ultra-low power sensor network applications . The chip was fabricated in a standard 0.13-μm CMOS technology and occupies a core area as low as 0.02 mm2 . Security should be considered as an integral part of ITS planning and deployment . There is a compelling need to identify and address the most severe security threats specific to the traffic monitoring sensor network . Here an analysis of possible threats to traffic monitoring system is presented using the European Telecommunications Standards Institute‘s ( ETSI‘s ) methodology and threats that pose the most significant risk to the system are identified . Recently , compressive sensing theory has opened up a new path for the development of signal processing . According to this theory , a novel single pixel camera system has been introduced to overcome the current limitation and challenges of manufacturing large scale photo sensor arrays . In the system , image can be recovered from original image using random measurements by means of compressive sensing techniques . The present invention decrypt that , more specifically , the device information from the information recognizing sensor provided in the moving vehicle according to the seat information providing method and system of the moving vehicle and transmits it to the information providing server , collected by the information recognition sensor calculating the terminal information to the destination information of the mobile vehicle occupant through and relates to a method and system for providing information of a moving vehicle seat which provides the possibility of empty seats information by comparing the destination information of the passenger with each other . Thus , according to the present invention , not only is an effect that it is possible to calculate the destinations of the occupant via the second broadband communication between the sensor chip with the information identification sensor and the terminal with the moving vehicle , sensed by the information recognition sensor there is an effect that the detection of the sensor chip can be seen the first seat to get off information of the passenger in a mobile vehicle of the occupant sitting in the seat and through the output destination information . In the context of sensor-based human-robot interaction , a particularly promising solution is represented by myoelectric control schemes based on synergy-derived signals . We developed and tested on healthy subjects a synergy-based control to achieve simultaneous , continuous actuation of three degrees of freedom of a humanoid robot , while performing functional reach-to-grasp movements . Minimizing the coverage task time is important for many sensor-based coverage applications . The completion time of a sensor-based coverage task is determined by the maximum time traveled by a robot in a mobile robot group . Performance of simulations show that , this algorithm obtains obvious improvement in continuous target tracking compared to the traditional virtual force . Keywords-continuous target tracking ; aerial wireless sensor network ; combined virtual force document : PointFusion : Deep Sensor Fusion for 3D Bounding Box Estimation We present PointFusion , a generic 3D object detection method that leverages both image and 3D point cloud information . While MV3D uses multi - view feature aggregation and sophisticated multi - sensor fusion strategy , our method based on the PointNet ( v1 ) and PointNet ++ ( v2 ) backbone is much cleaner in design . While out of the scope for this work , we expect that sensor fusion ( esp . aggregation of image feature for 3D detection ) could further improve our results . We also show our method As shown in Figure [ reference ] ( bottom ) , the performance of node2vec declines slightly faster initially when compared with the setting of missing edges , however , the rate of decrease in Macro - F score gradually slows down over time . Again , the robustness of node2vec to false edges is useful in several situations such as sensor networks where the measurements used for constructing the network are noisy . subsection : Scalability The Freeband I-Share project aims to define the mechanisms for trust , willingness , resource discovery and sharing mechanisms in virtual communities . To improve the secure and performance of a 3D video streaming application , which is a research vehicle of the I-Share project , we propose a virtual community based access control approach for secure service discovery and access ( VICSDA ) which groups services in virtual communities and only grants authenticated community members to discover and access these community services . There are two main contributions associated with this approach . First , different from most of the other access control approaches it adopts a dual access control mechanism which allows community services to define their local access control policy besides following the community membership policy . Second , behavior of these community services is monitored in order to guarantee a better QoS provision . Using this approach , the 3D video streaming application can be guaranteed with authentication and message confidentiality through the dual secure service discovery and access mechanism . Better application performance can also be achieved through the community member behavior audit . Another is a resource manager which anticipates the performance of both required services and the network through monitoring the QoS in diverse layers and also be aware of environment changes . A prototyping system VICSDA and a 3D video streaming application are built to prove the feasibility of this approach . Concrete results showed that VICSDA is context-aware and can optimize the overall performance of service oriented applications in a secure way . Multimedia streams have increased dramatically over the wireless networks during the last few years . 3D video stream-based applications and movies will become significant contents of wireless network traffic in future Internet . This paper shows Quality of Experience ( QoE ) results based on transport network ’s Quality of Service ( QoS ) level degradation obtained from subjective tests which were carried out for 3D stereoscopic video files transporting through GPON-based transport network combined with IEEE802.11n standard based WiFi sub-networks on clients ’ side . Multimedia services achieved unexpected penetration over wireless networks during the last few years . Provisioning of 3D video stream-based applications and transferring 3D movies - also becoming significant within the wireless domain - is a big challenge for Internet Service Providers ( ISP ) . Only scarce empirical results are known about the user perceived quality of such kind of services . The Gigabit Passive Optical Network ( GPON ) that provides a capacity boosts in both the total bandwidth and bandwidth efficiency is a promising technology for transport networks that can carry bandwidth-extensive 3D video stream-based applications . However , very little empirical results are known about the user perceived quality of these kinds of services in GPON-based networks . The recent advances in technology and mobile computing led to the rapid growth of networked 3D streaming applications . Due to the limited network bandwidth of the client server approach , research works are now turning toward mobile ad-hoc networks (MANET)-based streaming . In recent years , three‐dimensional ( 3D ) streaming over thin mobile devices has received very little attention from the research community . The 3D streaming‐based class of applications uses either a centralized or a distributed approach . whereas the former presents several drawbacks such as latency , server 's bottleneck , and networks congestion ; the latter , that is , peer‐to‐peer , has to deal with the supplying partner issue that consists in selecting the source that will be responsible for streaming the required 3D data . The method has been evaluated by a case study on a history-based topic . The study confirms that the method 's steps are effective for designers and it has positive impact on multimedia user interface design for mobile learning . Sutcliffe explains how the models can be used to predict good design features , or generalized design properties , along with application rules . The book also addresses interaction models , multimedia user interface design , guidance for designing virtual environments , evaluation of multisensory user interfaces , and applications . Sutcliffe takes a unique approach to identifying design principles for improving user interactions with VR environments . The KDBS Laboratory employs one full-time research engineer and several graduate students . Its infrastructure includes a LAN with several DECstation 5000/200 and 5000/240 workstations , an HP Multimedia Workstation , several PCs and software for database and multimedia applications . The basic research interests of our Laboratory include : Spatial Database Systems , Multimedia Database Systems and Active Database Systems . SYNDAMMA ( Synthesis of Database and Multimedia Applications ) is an ESPRIT III project established to support the reengineering of existing relational database applications into an object-oriented form , thereby facilitating the incorporation of multimedia requirements . This paper provides an overview of the seven stages of SYNDAMMA which encompass both reverse and forward engineering . This paper describes the Data Distribution Laboratory and discusses issues involved in building multimedia CD-ROMs . It describes the modeling philosophy for cataloging multimedia products and the world-wide web-based multimedia archive and retrieval system built on that model . This paper describes the Data Distribution Laboratory ( DDL ) and discusses issues involved in building multimedia CD-ROMs . It describes the modeling philosophy for cataloging multimedia products and the worldwide-web (WWW)-based multimedia archive and retrieval system ( Webcat ) built on that model . Recently , HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method . With the random design on large graphs , it is particularly suitable for large scale crowdsourcing experiments on Internet . HodgeRank on random graphs is proposed recently as an effective framework for multimedia quality assessment problem based on paired comparison methods . With a random design on graphs , it is particularly suitable for large scale crowdsourcing experiments on the Internet . The application representation is based on composition ( spatial and temporal ) and scenario modelling . An important feature of the MOAP is the approach for integrated modelling of the multimedia objects as well as of the applications . Electronic multimedia publishing is increasingly becoming a major industrial activity , and the design of Web applications and hypermedia applications in general needs to become a well-organized and efficient process . The most important factor in making Web design efficient and effective is the availability of a suitable design model . IP multicast applications run on the traditional TCP/IP network and can deliver data to multiple receivers simultaneously . It 's a new technology for multimedia realtime transmission and bulk data transmission . This paper discusses the IP multicast technology , including the conformation of IP multicast address , Internet Group Management Protocol(IGMP ) and IP multicast routing . Despite the importance of visual content , our understanding of the role of visual content in fake news detection is still limited . This chapter presents a comprehensive review of the visual content in fake news , including the basic concepts , effective visual features , representative detection methods and challenging issues of multimedia fake news detection . This chapter can help readers to understand the role of visual content in fake news detection , and effectively utilize visual content to assist in detecting multimedia fake news . Since the design validation and correction cost is drastically increasing as the design steps proceed , software verification is considerably desired before the simulation model for the target architecture is constructed . As timing correctness is as important as functional correctness in real-time multimedia embedded systems , an important research issue is how to perform timed functional simulation with reasonable accuracy on a host machine . In addition , to allow design space exploration , a simulation platform should reflect hardware architectures , task mapping , and the scheduling policy for an operating system . To address this deficiency , we have designed a layered model for end-to-end QoS management called the QoS management framework . Our framework , which is CORBA-based , includes a generic QoS MIB for the QoS parameterization of various multimedia services and the services needed to perform various QoS functions . A key component of this framework is the QoS management service object ( QMSO ) , which orchestrates resources at endpoints , coordinating resource management across layer boundaries . AbstractStreaming data analysis potentially represents a significant shift in emphasis from schemes historically pursued for offline ( batch ) approaches to the classification task . In particular , a streaming data application implies that : ( 1 ) the data itself has no formal ‘ start ’ or ‘ end ’ ; ( 2 ) the properties of the process generating the data are non-stationary , thus models that function correctly for some part(s ) of a stream may be ineffective elsewhere ; ( 3 ) constraints on the time to produce a response , potentially implying an anytime operational requirement ; and ( 4 ) given the prohibitive cost of employing an oracle to label a stream , a finite labelling budget is necessary . The scope of this article is to provide a survey of developments for model building under streaming environments from the perspective of both evolutionary and non-evolutionary frameworks . Through the model development , we got 74,25 % as the best accuracy with parameters ; the num of trees and max depth are 100 and 30 respectively . Moreover , at the streaming application process , the average Processing Time is 20.385 seconds and the average Total Delay is 20.854 seconds for each batch . In addition , provides mobility for devices in different network area require different security measures and configuration to be configured such as user device registration and authentication in PMIPv6 inter/intra-domain as well as providing fast delivery of multimedia content . In this paper , we introduce new architecture for N-Screen services which allows the streaming of application based on N-Screen technology using Personal Video Recorder function built-in micro data center and Proxy Mobile IPv6 technology in cloud computing environment . Through utilizing this service , we can clearly solve the issues mentioned above and have a better understanding . Nowadays a lot of schools and big organizations are using e-learning packages that include streaming multimedia process in it ( Shea-Schultz & Fogarty , 2002 ) . As a result , streaming server developers are competing aggressively in the development of streaming server application . These resulting e-learning system administrators hardly decide which is the best streaming technology that suits the current server specifications and network technology .
Then the application of SimEvents in networked control system -NCS is proposed . The simulations show that SimEvents is an effective simulation tool for network .
We resolve the channel assignment problem by introducing maximal clique in link conflict graph , which uses greedy algorithm to assign channel in a distributed manner while maintaining network connectivity . Simulation results show that ours algorithm significantly improves network performance in terms of throughput and is comparable to the best prior centralized scheme that jointly considers routing and channel assignment .
This paper investigates the effectiveness of trust and reputation model ( TRM ) in clustering as an approach to achieve higher network performance in cognitive radio ( CR ) networks . Reinforcement learning ( RL ) based TRM has been adopted as an appropriate tool to increase the efficacy of TRM .
The method comprises the steps that SIM card information is stored in a safe area of the mobile terminal system ; when the mobile terminal system is started , a main control module starts a virtual SIM card service , and a virtual SIM card is used as a work SIM card ; when a mobile communication network service is executed , a communication module of the mobile terminal system starts an access request to the SIM card , the virtual SIM card service executes the access request according to the SIM card information of the safe area and feeds back an execution result to the communication module . Due to the fact that the technical scheme of the virtual SIM card is put forward , the achieving process of the mobile communication network service does not need to rely on a solid SIM card , corresponding operations can be executed through the virtual SIM card , the purpose of accessing to a wireless communication network without the solid SIM card is achieved , the number safety of a user is further protected , the size , the power consumption and other indexes of the mobile terminal can be reduced easily .
The classification of unstructured P2P multicast video streaming is the premise for playing online linkage and real-time evidence in the process of network monitoring management . Based on the classification method in the preliminary research , an improved classification method is proposed .
The implementation also has been verified with real use cases which are tutorials of courses in college . Users can build OpenFlow environment upon the shared and virtual infrastructure for network research and education purposes . Results also revealed that not only this network emulation testbed meets most requirements that real machine environment could provide , but also acquires benefits from virtualization .
However , the number of transmit nodes is often limited by the system costs and available resources . To address this issue , we present the approach of topology optimization of bistatic radar network with limited number of transmit nodes . This problem is formulated as convex optimization problem , where the topology of bistatic radar network with fixed number of transmit nodes and minimal number of receive nodes is selected in order to meet prescribed localization accuracy requirements .
Signals.- Narrow-Band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals.- Blind Channel Identification in ( 2 x1 ) Alamouti Coded Systems Based on Maximizing the Eigenvalue Spread of Cumulant Matrices.- ICA Mixture Modeling for the Classification of Materials in Impact-Echo Testing.- Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets.- High-Energy Particles Online Discriminators Based on Nonlinear Independent Components.- Network Traffic Flow Separation and Control Through a Hybrid ICA-Fuzzy Adaptive Algorithm.- Special Session on Evaluation.- The 2008 Signal Separation Evaluation Campaign : A Community-Based Approach to Large-Scale Evaluation.- Stereo Source Separation and Source Counting with MAP Estimation with Dirichlet Prior Considering Spatial Aliasing Problem.- Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation.- Application of Two Time-Domain Convolutive Blind Source Separation Algorithms to the 2008 Signal Separation Evaluation Campaign ( SiSEC ) Data.- Permutation Correction in Blind Source Separation Using
The development of network technology brings about thorough change for the way of Mankind communication , network communication splitting up from realistic communication has provided a new dialogue method for the communication of present persons , we should attach importance to network language and normalization education of language so as to eliminate the blind spot of network language education .
The CPSP-tools package provides programs to solve exactly and completely the problems typical of studies using 3D lattice protein models . Among the tasks addressed are the prediction of ( all ) globally optimal and/or suboptimal structures as well as sequence design and neutral network exploration . ResultsIn contrast to stochastic approaches , which are not capable of answering many fundamental questions , our methods are based on fast , non-heuristic techniques .
An instance of the Network Steiner Problem consists of an undirected graph with edge lengths and a subset of vertices ; the goal is to find a minimum cost Steiner tree of the given subset ( i.e. , minimum cost subset of edges which spans it ) . An 11/6-approximation algorithm for this problem is given .
Great significance shall be attached to the research on how to improve reliability of user-end power supply with limited expense by coordinating reliability and economic efficiency of power grid , so that to meet the increasing demand on reliability of electric power , and achieve considerable economic effectiveness . In this paper , process of power distribution network reliability calculation based on minimum-path failure mode and effect analysis mode is expounded , and a demonstration on calculation of power distribution network reliability is provided . Furthermore , cost-benefit analysis , which includes calculations of cost and benefit of reliability , is introduced to reflect reliability efficiency through power interruption cost calculation .
They are also the foundation of a class of output sensitive algorithms which use them to compute local community structure information in time sublinear to the size of the input graph [ reference ] . It is this connection to local structure that motivates us to use a stream of short random walks as our basic tool for extracting information from a network . In addition to capturing community information , using random walks as the basis for our algorithm gives us two other desirable properties .
The results in Table [ reference ] confirm that removing the first ReLU as in ( b ) and ( d ) in Figure [ reference ] , enhances the performance . Consequently , provided that an appropriate number of ReLUs are used to guarantee the nonlinearity of the feature space manifold , the remaining ReLUs could be removed to improve network performance . subsubsection : BN Layers in a Building Block
section : Introduction Many important tasks in network analysis involve predictions over nodes and edges . In a typical node classification task , we are interested in predicting the most probable labels of nodes in a network .
[ reference ] . Most of the parameters are required to extract features in the backbone network , subnets and PRN are relatively lightweight networks . So most of the computation time is spent on the feature extraction stage .
Although not fully decoupled , the target network in the DQN architecture provides a natural candidate for the second value function , without having to introduce additional networks . We therefore propose to evaluate the greedy policy according to the online network , but using the target network to estimate its value . In reference to both Double Q - learning and DQN , we refer to the resulting algorithm as Double DQN .
For example , our model can produce , and super - resolution results in one feed - forward pass . This property is particularly useful for resource - aware applications , e.g. , mobile devices or network applications . subsection : Implementation and training details
The problem becomes much more challenging when a real world information network is concerned , which typically contains millions of nodes and billions of edges . For example , the Twitter followee - follower network contains 175 million active users and around twenty billion edges in 2012 . Most existing graph embedding algorithms do not scale for networks of this size .
subsubsection : Language Network We start with the results on the language network , which contains two million nodes and a billion edges . Two applications are used to evaluate the effectiveness of the learned embeddings : word analogy and document classification .
We provide a few examples from the PTB test set which compare the prediction performance of 1500 unit VD - LSTM and 1500 unit VD - LSTM + REAL in table 4 . We would like to note that prediction performance of VD - LSTM + RE is similar to VD - LSTM + REAL for the large network . In this work , we introduced a novel loss framework for language modeling .
2 2 max - pooling with a stride of 2 was applied after each stack . For network regularization we used the following drop - out rate for the last layer of each stack ( ) . The - weight decay regularization term was set to .
[ reference ] shows at the left panel a stochastic gradient example on CelebA for original GAN training ( orig ) , which often leads to oscillations , and the TTUR . On the right panel an example of a 4 node network flow problem of Zhang et al . is shown . The distance between the actual parameter and its optimum for an one time - scale update rule is shown across iterates .
These come with different APIs , leading to an adaptation effort whenever a new library is integrated . While such abstractions are typical for streaming applications , a generic structure like that of the JMF is rarely found in free , open source systems . Existing approaches implement either hard-coded sequences , or they consider frameworks that allow the specification of an end-to-end behavior for complex multimedia systems .
The focus of the research presented in this paper was to develop a novel way to support voice over IP ( VoIP ) and streaming video applications on mobile devices over a 802.11 access network Fast handoff in a wireless local area network ( WLAN ) environment has been the research topic of many previous studies , the majority of which described ways to optimize the three main 802.11 handoff phases -scanning , authentication , and reassociation . In this paper however we propose a fast handoff scheme that skips all mentioned phases .
The increasing demand for streaming video applications on the Internet motivates the problem of building an adaptive rate control scheme for the time-varying network condition . The time-varying available bandwidth and latency make the real-time streaming applications difficult to achieve high bandwidth utilization and video quality at receivers .
The experimental results gathered through an accurate simulation model of ReCoM show performance figures encouragingly better than other DSP or alternative reconfigurable systems . Moreover , they demonstrate that ReCoM is very scalable and it successfully extracts the parallelism from streamed applications .
This paper presents a software implementation of a very fast parallel Reed-Solomon decoder on the second generation of MorphoSys reconfigurable computation platform , which is targeting on streamed applications such as multimedia and DSP . Numerous modifications of the first-generation of the architecture have made a scalable computation and communication intensive architecture capable of extracting parallelisms of fine grain in instruction level .
The invention multimedia to create a multimedia streaming service and the application streaming intended to run to integrate services , to show the user to run the multimedia data , or application data , for receiving a control signal from the user , the user interface , multi-media streaming session receiving the streaming data , and multimedia streaming control running through the user interface module , an application that controls an execution of a streaming based application to generate an application streaming session program streaming control module and the multimedia streaming control module and the application , streaming control module the creation , and a control module for performing a synchronization between the multimedia streaming session with the application streaming session . User interfaces , multimedia streaming control module , application streaming control module , control module , and multimedia streaming services , applications , streaming services
In this paper , we present a novel use of an FPGA as a computing element for streaming based application . We investigate the virtualized execution of dynamic reconfigurable tasks .
Streaming features applications pose challenges for feature selection . For such dynamic features applications : ( a ) features are sequentially generated and are processed one by one upon their arrival while the number of instances/points remains fixed ; and ( b ) the complete feature space is not known in advance . Existing approaches require class labels as a guide to select the representative features . However , in real-world applications most data are not labeled and , moreover , manual labeling is costly . A new algorithm , called Unsupervised Feature Selection for Streaming Features ( UFSSF ) , is proposed in this paper to select representative features in streaming features applications without the need to know the features or class labels in advance . UFSSF extends the k-mean clustering algorithm to include linearly dependent similarity measures so as to incrementally decide whether to add the newly arrived feature to the existing set of representative features .
This approach is based on the Single Source Multicast ( SSM ) model as the underlying network infrastructure . Though the SSM model might , at first glance , look more appropriate for streaming-like applications , we show that it is possible to take advantage of such a communication layer to solve the new issues that the application layer has to address in the SSM environment . We even outline that SSM has benefits over Any Source Multicast ( ASM ) , in that it provides greater flexibility in flow management .
While research in DTN has mainly addressed the problem of routing in various mobility contexts with the aim to improve bundle delay delivery and data delivery ratio , little attention has been paid to applications . This paper investigates the support of streaming-like applications over DTN . We identify how DTN characteristics impact on the overall performances of these applications and present Tetrys , a transport layer mechanism , which enables robust streaming over DTN .
The conference , now in its ninth year , provides a forum where researchers meet to exchange ideas in all areas of computer science . True to its roots , this year 's conference comprises a set of diversified and interdisciplinary papers and presentations on novel processors and network technologies , supervised memories , energy efficient computing , streaming applications and systems , and performance modeling . New this year are two special sessions on the use artificial intelligence in games and European Exascale projects .
For modeling modern streaming-oriented applications , Process Networks ( PNs ) are used to describe systems with changing behavior , which must be mapped on a concurrent architecture to meet the performance and energy constraints of embedded devices . Finding an optimal mapping of Process Networks to the constrained architecture presumes that the behavior of the Process Network is statically known .
The low-power consumption wireless sensor networks are the hotspot research of current sensor technology . Sensor networks server and node are necessary part in the wireless sensor networks and the base station has some all-purpose characteristic .
Using experimental design , the effect of each explanatory variable on response variables is obtained independently , and when interactions are expected to exist , the effects can be calculated . An experiment on the quantification of sensor characteristics measured by sensor evaluation was carried out . The cutting quality of kitchen knives was considered as an example of sensory characteristics .
The most complex sorting task has been named bin picking . Due to the fact that in such application the system has not a certain previous knowledge of the environment , the integration of sensors as well as algorithms for the sensor evaluation and computation of a collision free path is vital to achieve a robust system .
Networked intelligent processors enable users and systems integrators to automatically configure their measurement automation systems for analog sensors . NASA and leading sensor vendors are working together to apply the IEEE 1451 standard for adding plug-and-play capabilities for wireless analog transducers through the use of a Transducer Electronic Data Sheet ( TEDS ) in order to simplify sensor setup , use , and maintenance , to automatically obtain calibration data , and to eliminate manual data entry and error . A TEDS contains the critical information needed by an instrument or measurement system to identify , characterize , interface , and properly use the signal from an analog sensor .
For this application , we implemented a mapping framework that incrementally generates a dense georeferenced 3D point cloud , a digital surface model , and an orthomosaic and we support our design choices with respect to computational costs and its performance in diverse terrain . For accurate estimation of the camera poses , we employ a cost-efficient sensor setup consisting of a monocular visual-inertial camera rig as well as a Global Positioning System receiver , which we fuse using an incremental smoothing algorithm . We validate our mapping framework on a synthetic dataset embedded in a hardware-in-the-loop environment and in a real-world experiment using a fixed-wing UAV .
The differences between the approaches and their effect on the model quality are analyzed and discussed regarding their feasibility for real-world applications . Fewer requirements on the initial system knowledge suggest the usage of Mutual Information as an objective for optimizing the sensor setup , although the simpler application and higher robustness are accompanied by a slightly increased prediction error .
Measurements show that the proposed circuit provides a reference voltage of around 597 mV and correctly operates with a supply voltage ranging from 3.3 V to 1 V and temperature variations from −40 to 85 ° C . The overall current consumption is below 1 μA , thus making it suitable for RF-powered and ultra-low power sensor network applications . The chip was fabricated in a standard 0.13-μm CMOS technology and occupies a core area as low as 0.02 mm2 .
Security should be considered as an integral part of ITS planning and deployment . There is a compelling need to identify and address the most severe security threats specific to the traffic monitoring sensor network . Here an analysis of possible threats to traffic monitoring system is presented using the European Telecommunications Standards Institute‘s ( ETSI‘s ) methodology and threats that pose the most significant risk to the system are identified .
Recently , compressive sensing theory has opened up a new path for the development of signal processing . According to this theory , a novel single pixel camera system has been introduced to overcome the current limitation and challenges of manufacturing large scale photo sensor arrays . In the system , image can be recovered from original image using random measurements by means of compressive sensing techniques .
The present invention decrypt that , more specifically , the device information from the information recognizing sensor provided in the moving vehicle according to the seat information providing method and system of the moving vehicle and transmits it to the information providing server , collected by the information recognition sensor calculating the terminal information to the destination information of the mobile vehicle occupant through and relates to a method and system for providing information of a moving vehicle seat which provides the possibility of empty seats information by comparing the destination information of the passenger with each other . Thus , according to the present invention , not only is an effect that it is possible to calculate the destinations of the occupant via the second broadband communication between the sensor chip with the information identification sensor and the terminal with the moving vehicle , sensed by the information recognition sensor there is an effect that the detection of the sensor chip can be seen the first seat to get off information of the passenger in a mobile vehicle of the occupant sitting in the seat and through the output destination information .
In the context of sensor-based human-robot interaction , a particularly promising solution is represented by myoelectric control schemes based on synergy-derived signals . We developed and tested on healthy subjects a synergy-based control to achieve simultaneous , continuous actuation of three degrees of freedom of a humanoid robot , while performing functional reach-to-grasp movements .
Minimizing the coverage task time is important for many sensor-based coverage applications . The completion time of a sensor-based coverage task is determined by the maximum time traveled by a robot in a mobile robot group .
Performance of simulations show that , this algorithm obtains obvious improvement in continuous target tracking compared to the traditional virtual force . Keywords-continuous target tracking ; aerial wireless sensor network ; combined virtual force
document : PointFusion : Deep Sensor Fusion for 3D Bounding Box Estimation We present PointFusion , a generic 3D object detection method that leverages both image and 3D point cloud information .
While MV3D uses multi - view feature aggregation and sophisticated multi - sensor fusion strategy , our method based on the PointNet ( v1 ) and PointNet ++ ( v2 ) backbone is much cleaner in design . While out of the scope for this work , we expect that sensor fusion ( esp . aggregation of image feature for 3D detection ) could further improve our results . We also show our method
As shown in Figure [ reference ] ( bottom ) , the performance of node2vec declines slightly faster initially when compared with the setting of missing edges , however , the rate of decrease in Macro - F score gradually slows down over time . Again , the robustness of node2vec to false edges is useful in several situations such as sensor networks where the measurements used for constructing the network are noisy . subsection : Scalability
The Freeband I-Share project aims to define the mechanisms for trust , willingness , resource discovery and sharing mechanisms in virtual communities . To improve the secure and performance of a 3D video streaming application , which is a research vehicle of the I-Share project , we propose a virtual community based access control approach for secure service discovery and access ( VICSDA ) which groups services in virtual communities and only grants authenticated community members to discover and access these community services . There are two main contributions associated with this approach . First , different from most of the other access control approaches it adopts a dual access control mechanism which allows community services to define their local access control policy besides following the community membership policy . Second , behavior of these community services is monitored in order to guarantee a better QoS provision . Using this approach , the 3D video streaming application can be guaranteed with authentication and message confidentiality through the dual secure service discovery and access mechanism . Better application performance can also be achieved through the community member behavior audit .
Another is a resource manager which anticipates the performance of both required services and the network through monitoring the QoS in diverse layers and also be aware of environment changes . A prototyping system VICSDA and a 3D video streaming application are built to prove the feasibility of this approach . Concrete results showed that VICSDA is context-aware and can optimize the overall performance of service oriented applications in a secure way .
Multimedia streams have increased dramatically over the wireless networks during the last few years . 3D video stream-based applications and movies will become significant contents of wireless network traffic in future Internet . This paper shows Quality of Experience ( QoE ) results based on transport network ’s Quality of Service ( QoS ) level degradation obtained from subjective tests which were carried out for 3D stereoscopic video files transporting through GPON-based transport network combined with IEEE802.11n standard based WiFi sub-networks on clients ’ side .
Multimedia services achieved unexpected penetration over wireless networks during the last few years . Provisioning of 3D video stream-based applications and transferring 3D movies - also becoming significant within the wireless domain - is a big challenge for Internet Service Providers ( ISP ) . Only scarce empirical results are known about the user perceived quality of such kind of services .
The Gigabit Passive Optical Network ( GPON ) that provides a capacity boosts in both the total bandwidth and bandwidth efficiency is a promising technology for transport networks that can carry bandwidth-extensive 3D video stream-based applications . However , very little empirical results are known about the user perceived quality of these kinds of services in GPON-based networks .
The recent advances in technology and mobile computing led to the rapid growth of networked 3D streaming applications . Due to the limited network bandwidth of the client server approach , research works are now turning toward mobile ad-hoc networks (MANET)-based streaming .
In recent years , three‐dimensional ( 3D ) streaming over thin mobile devices has received very little attention from the research community . The 3D streaming‐based class of applications uses either a centralized or a distributed approach . whereas the former presents several drawbacks such as latency , server 's bottleneck , and networks congestion ; the latter , that is , peer‐to‐peer , has to deal with the supplying partner issue that consists in selecting the source that will be responsible for streaming the required 3D data .
The method has been evaluated by a case study on a history-based topic . The study confirms that the method 's steps are effective for designers and it has positive impact on multimedia user interface design for mobile learning .
Sutcliffe explains how the models can be used to predict good design features , or generalized design properties , along with application rules . The book also addresses interaction models , multimedia user interface design , guidance for designing virtual environments , evaluation of multisensory user interfaces , and applications . Sutcliffe takes a unique approach to identifying design principles for improving user interactions with VR environments .
The KDBS Laboratory employs one full-time research engineer and several graduate students . Its infrastructure includes a LAN with several DECstation 5000/200 and 5000/240 workstations , an HP Multimedia Workstation , several PCs and software for database and multimedia applications . The basic research interests of our Laboratory include : Spatial Database Systems , Multimedia Database Systems and Active Database Systems .
SYNDAMMA ( Synthesis of Database and Multimedia Applications ) is an ESPRIT III project established to support the reengineering of existing relational database applications into an object-oriented form , thereby facilitating the incorporation of multimedia requirements . This paper provides an overview of the seven stages of SYNDAMMA which encompass both reverse and forward engineering .
This paper describes the Data Distribution Laboratory and discusses issues involved in building multimedia CD-ROMs . It describes the modeling philosophy for cataloging multimedia products and the world-wide web-based multimedia archive and retrieval system built on that model .
This paper describes the Data Distribution Laboratory ( DDL ) and discusses issues involved in building multimedia CD-ROMs . It describes the modeling philosophy for cataloging multimedia products and the worldwide-web (WWW)-based multimedia archive and retrieval system ( Webcat ) built on that model .
Recently , HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method . With the random design on large graphs , it is particularly suitable for large scale crowdsourcing experiments on Internet .
HodgeRank on random graphs is proposed recently as an effective framework for multimedia quality assessment problem based on paired comparison methods . With a random design on graphs , it is particularly suitable for large scale crowdsourcing experiments on the Internet .
The application representation is based on composition ( spatial and temporal ) and scenario modelling . An important feature of the MOAP is the approach for integrated modelling of the multimedia objects as well as of the applications .
Electronic multimedia publishing is increasingly becoming a major industrial activity , and the design of Web applications and hypermedia applications in general needs to become a well-organized and efficient process . The most important factor in making Web design efficient and effective is the availability of a suitable design model .
IP multicast applications run on the traditional TCP/IP network and can deliver data to multiple receivers simultaneously . It 's a new technology for multimedia realtime transmission and bulk data transmission . This paper discusses the IP multicast technology , including the conformation of IP multicast address , Internet Group Management Protocol(IGMP ) and IP multicast routing .
Despite the importance of visual content , our understanding of the role of visual content in fake news detection is still limited . This chapter presents a comprehensive review of the visual content in fake news , including the basic concepts , effective visual features , representative detection methods and challenging issues of multimedia fake news detection . This chapter can help readers to understand the role of visual content in fake news detection , and effectively utilize visual content to assist in detecting multimedia fake news .
Since the design validation and correction cost is drastically increasing as the design steps proceed , software verification is considerably desired before the simulation model for the target architecture is constructed . As timing correctness is as important as functional correctness in real-time multimedia embedded systems , an important research issue is how to perform timed functional simulation with reasonable accuracy on a host machine . In addition , to allow design space exploration , a simulation platform should reflect hardware architectures , task mapping , and the scheduling policy for an operating system .
To address this deficiency , we have designed a layered model for end-to-end QoS management called the QoS management framework . Our framework , which is CORBA-based , includes a generic QoS MIB for the QoS parameterization of various multimedia services and the services needed to perform various QoS functions . A key component of this framework is the QoS management service object ( QMSO ) , which orchestrates resources at endpoints , coordinating resource management across layer boundaries .
AbstractStreaming data analysis potentially represents a significant shift in emphasis from schemes historically pursued for offline ( batch ) approaches to the classification task . In particular , a streaming data application implies that : ( 1 ) the data itself has no formal ‘ start ’ or ‘ end ’ ; ( 2 ) the properties of the process generating the data are non-stationary , thus models that function correctly for some part(s ) of a stream may be ineffective elsewhere ; ( 3 ) constraints on the time to produce a response , potentially implying an anytime operational requirement ; and ( 4 ) given the prohibitive cost of employing an oracle to label a stream , a finite labelling budget is necessary . The scope of this article is to provide a survey of developments for model building under streaming environments from the perspective of both evolutionary and non-evolutionary frameworks .
Through the model development , we got 74,25 % as the best accuracy with parameters ; the num of trees and max depth are 100 and 30 respectively . Moreover , at the streaming application process , the average Processing Time is 20.385 seconds and the average Total Delay is 20.854 seconds for each batch .
In addition , provides mobility for devices in different network area require different security measures and configuration to be configured such as user device registration and authentication in PMIPv6 inter/intra-domain as well as providing fast delivery of multimedia content . In this paper , we introduce new architecture for N-Screen services which allows the streaming of application based on N-Screen technology using Personal Video Recorder function built-in micro data center and Proxy Mobile IPv6 technology in cloud computing environment . Through utilizing this service , we can clearly solve the issues mentioned above and have a better understanding .
Nowadays a lot of schools and big organizations are using e-learning packages that include streaming multimedia process in it ( Shea-Schultz & Fogarty , 2002 ) . As a result , streaming server developers are competing aggressively in the development of streaming server application . These resulting e-learning system administrators hardly decide which is the best streaming technology that suits the current server specifications and network technology .
Networked modeling and simulation based on SimEvents Distributed Channel Assignment Algorithm for Multi-channel Wireless Mesh Networks Reinforcement learning-based trust and reputation model for cluster head selection in cognitive radio networks Mobile communication network service implementation method and mobile terminal system An Improved Classification Method of Unstructured P2P Multicast Video Streaming Design and develop an OpenFlow Testbed within virtualized architecture Some aspects of the multistatic radar network topology optimization Independent Component Analysis and Signal Separation, 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings Blind Spot about Network Language and Language Education CPSP-tools – Exact and complete algorithms for high-throughput 3D lattice protein studies An 11/6-approximation algorithm for the network steiner problem Optimal Reconstruction of Power Distribution Network based on Reliability and Economy DeepWalk: online learning of social representations Deep Pyramidal Residual Networks node2vec: Scalable Feature Learning for Networks MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network Deep Reinforcement Learning with Double Q-Learning Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution LINE: Large-scale Information Network Embedding Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium Dynamic data path reconfiguration Access network controlled fast handoff for streaming multimedia in WLAN SARS : A Linear Source Model Based Adaptive Rate-Control Scheme for TCP-Friendly Real-Time MPEG-4 Video Streaming An experimental analysis of a new mixed grain-based dynamically reconfigurable architecture A fast parallel Reed-Solomon decoder on a reconfigurable architecture Device for integrating multimedia streaming service and application streaming service and method thereof Efficient execution of process networks on a reconfigurable hardware virtual machine UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features A Scalable SSM-based Multicast Communication Layer for Multimedia Networked Virtual Environments Robust Streaming in Delay Tolerant Networks Proceedings of the 9th conference on Computing Frontiers Static Analysis of Run-Time Modes in Synchronous Process Network A Design of Wireless Sensor Networks Base Station Based on CC1100 Cutting quality of kitchen knives: an application of sensor fusion to the analysis Path Planning Process Optimization for a Bin Picking System Network-Capable Application Process and Wireless Intelligent Sensors for ISHM Mapping on the Fly: Real-Time 3D Dense Reconstruction, Digital Surface Map and Incremental Orthomosaic Generation for Unmanned Aerial Vehicles Optimal Sensor Placement based on Gaussian Process Regression for Shared Office Spaces under Various Ventilation Conditions An accurate 1-V threshold voltage reference for ultra-low power applications WIRELESS SENSOR NETWORK BASED TRAFFIC MONITORING; OVERVIEW AND THREATS TO ITS SECURITY Multi-objective optimizing for image recovering in compressive sensing Method and system for providing seat information of vehicle Synergy-Based Myocontrol of a Multiple Degree-of-Freedom Humanoid Robot for Functional Tasks A genetic algorithm for task completion time minimization for multi-robot sensor-based coverage Continuous Target Tracking Algorithm in Aerial Wireless Sensor Network PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation Frustum PointNets for 3D Object Detection from RGB-D Data node2vec: Scalable Feature Learning for Networks Virtual Community Based Secure Service Discovery and Access for 3D Video Steaming Applications Context-aware resource management for secure end-to-end QoS provision in service oriented applications Investigation of Quality of Experience for 3D Video in Wireless Network Environment Attributes unmasked: Investigation of service aspects in subjective evaluation of wireless 3D multimedia Investigation of Quality of Experience for 3D Streams in Gigabit Passive Optical Network A multihop supplying partner protocol for 3D streaming systems over thin mobile devices Energy management control for supplying partner selection protocol in mobile peer‐to‐peer three‐dimensional streaming A method for multimedia user interface design for mobile learning Multimedia and Virtual Reality: Designing Multisensory User Interfaces by Alistair Sutcliffe 2003, 333 pages, $55.00 ISBN 0-8058-3950-X Data and knowledge base research at Hong Kong University of Science and Technology A method for reengineering existing relational database applications for the satisfaction of multimedia based requirements WWW-based archive and retrieval system for multimedia production A WWW-Based Archive and Retrieval System for Multimedia Online crowdsourcing subjective image quality assessment Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation An Object-Oriented Modeling of Multimedia Database Objects and Applications JWeb II navigation engine: an HDM multi device interpreter IP Multicast Technology and Application Exploring the Role of Visual Content in Fake News Detection Task-level timed-functional simulation for multi-core embedded systems A CORBA-based quality of service management framework for distributed multimedia services and applications Evolutionary model building under streaming data for classification tasks: opportunities and challenges Rancang Bangun Aplikasi untuk Klasifikasi Komentar Netizen pada Media Sosial Pemerintah Daerah di Indonesia Menggunakan Algoritma Random Forest Framework of N-Screen services based on PVR-micro data center and PMIPv6 in cloud computing Kesan Penggunaan Pelayan Strim Kepada Prestasi Komputer Pelayan Dalam Persekitaran E-Learning
2ffad6892daf7251b23f064a0aaeb30a5337f27c 7edba5a8997aefb0890286d18aeb7786ac58b7fe 19c4cf216fc45c8be730426eefb084becdf35572 81dc702d184d5c21b8d9e886f37e2d69eba2a469 142d098f51e7593d985255ca01ca252bf0322161 deb1406387dc99f5977f5265e1f50baae3f83b8b 3033dcf9b9ce71eef0c1842d0fa10215962e6b3d 1f52c20dc11f67bec0e3ddb64d4d20a08a93a154 88d8c925f4bc01a7a7d131aa8d19139a80d6f406 ceed3823658049e36d0caaead2b63e4401953670 996b593f46cfa8369169f5fbbbb8a8c1c2ccb1c2 c0c1112c8904e58222643ccf2d36776729817a2d 7db4728ee373c5ac331bdf6a20c3606041dc916c 3456dff2e826c405b9e66fd477d143d6fa0c5387 83b7149dfe340e2cd61839e2912892e4af54e716 6252591ddd738f7e31f01899ed479908d056d0a5 55f84ec5cecec6928497f0eb9b16ccefdd998b83 3069b2e330e5119305b5f33cc7e05d1fb96eb2ba b4f45a736c4731dcf87cb045ee99267b123abcf8 b45f96cd36a14acc54afc7ddab498207aeaf54a1 8f65550a1d0664e84b7f41b574b7feb1ef4fd175 d8e09300e1565e6f465366f47b9a85134187e5ca c7ad3453a1342b9d90e4a89d0341c46e47d368bc 92c166356c50de9e5c95e94eb125a9a0ee299668 20bc952c3b79c5a19e43505b8b2085ea195c2cd5 4db3cae5ad79d6f1dcee96a942be5b893f1c7196 626625af2bed665eb7d37d816e7c32f070874431 b25d36dfa2cc72d88d5d00af870257ea6e9ee423 37fb4694feef166c3f86bdc1a94bcd8db5fa3e3a f8f514d83d40bfada127644883ba382c87ecaa51 8bebaa4b676da549b0837be231a1b0a45af22574 f6df45845a1d6c2b3107a6a607d1a3053bc092ac 3d2985292c1a293aa07502d2f18244ac2d9b4459 ecedd20b2e209b908df6ecc084dff5d92ef4e4d0 ba6e34831ac686904def933464d77262090273d9 516d9bdfad67b7cf7d31db8a9724042db53f5802 c8d79c3d3d441f6457d291e8ddd25b8c3eee236e aff90d3153d8552e167d157e3a7b3dfe8dc02e6f 5b26c148dcb5f121c61662cde36edeb40d781b04 adb29deeb7fbe1cb09199ffa00bf460e9e7a5708 4aed3a0d8432af6eeff5c3d12b86765ab35f136d e68f17c28dffba8eb6ab04522d9b05f98ce09302 07362aaedc37b0d8765f2da482b58990ce8e29c5 65847553f010c12a34932cd31f64cea2d0eb496c d883a4240695acdfea12949ff841901b012cf1d8 429f8ba9f187576f57e404ec4f5c3de3105b46ab bf8174a43ddac3d9b8e015213c723766937c7da7 79994e5a09c235d093860797627384cba5270d74 691493d98ad3350ec60ab2774be84c8a16c6cd89 69678fa3ba9f91882cc49ab32a580f9c2bb290fc 358bd3f5364d416965576034beae658494e5ec7b 2bed6262bc2547f21d5c34741ce02d5e806674d6 81333fd7bd47b8a6a2bb9403a99666f5de980ead 5834fc21e0701ee7cfc4a0bd4383648c0dc539ef e39e1d32736aa4e44db0496fd9660515726bd2b1 51ec4e93d8ae4c62453fdb34c6866696da0527b1 8e19b9c070b70ce2dfb8057d19d585a05eed1674 fc8836f653df14507a7f4bcf82d015e224f73aec 4bdef16e02c6b723d3e6d39a2a51cbcf9dbc2a05 615ecf66da2c6193981fe403c401b4183a83a293 78ebfd760a8a43ca94967b3a56125a74e6044ffc a6b966d4ac7d7b3763d03c6eff2900dbd4eda606
["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Engineering"] ["Computer Science","Mathematics"] ["Computer Science"] ["Medicine","Computer Science"] ["Mathematics","Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Engineering"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science","Engineering"] ["Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Computer Science","Medicine"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Computer Science","Engineering"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Engineering","Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"] ["Computer Science"]
2008 2008 2014 2014 2012 2013 2016 2009 2004 2008 1993 2018 2014 2017 2016 2018 2016 2017 2015 2017 2016 2017 2001 2007 2005 2006 2003 2004 2004 2018 2004 2010 2012 2011 2009 1992 2010 2011 2018 2019 2017 2011 2012 2004 2019 2009 2015 2018 2018 2016 2007 2011 2012 2013 2011 2012 2013 2017 2005 1995 1996 1996 1996 2012 2014 1996 2003 2000 2020 2010 1999 2015 2018 2015 2008
ICITST APNOMS Independent Component Analysis and Signal Separation KDD '14 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) KDD ECCV AAAI 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) WWW '15 ICLR ICLR NIPS PCM (2) ICECS CODES+ISSS FCCM PAKDD (2) ICC Ershov Memorial Conference ISR/ROBOTIK FSR SMC ROBIO EMBC CCA/ISIC 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition KDD MCAM EUNICE EUNICE DIVANet@MSWiM ACM Multimedia Multimedia Database Systems AINA ESTImedia ICUFN
https://api.semanticscholar.org/2ffad6892daf7251b23f064a0aaeb30a5337f27c https://api.semanticscholar.org/7edba5a8997aefb0890286d18aeb7786ac58b7fe https://api.semanticscholar.org/19c4cf216fc45c8be730426eefb084becdf35572 https://api.semanticscholar.org/81dc702d184d5c21b8d9e886f37e2d69eba2a469 https://api.semanticscholar.org/142d098f51e7593d985255ca01ca252bf0322161 https://api.semanticscholar.org/deb1406387dc99f5977f5265e1f50baae3f83b8b https://api.semanticscholar.org/3033dcf9b9ce71eef0c1842d0fa10215962e6b3d https://api.semanticscholar.org/1f52c20dc11f67bec0e3ddb64d4d20a08a93a154 https://api.semanticscholar.org/88d8c925f4bc01a7a7d131aa8d19139a80d6f406 https://api.semanticscholar.org/ceed3823658049e36d0caaead2b63e4401953670 https://api.semanticscholar.org/996b593f46cfa8369169f5fbbbb8a8c1c2ccb1c2 https://api.semanticscholar.org/c0c1112c8904e58222643ccf2d36776729817a2d https://www.semanticscholar.org/paper/fff114cbba4f3ba900f33da574283e3de7f26c83 https://www.semanticscholar.org/paper/5bdf07c9897ca70788fff61dec56178a2bd0c29c https://www.semanticscholar.org/paper/36ee2c8bd605afd48035d15fdc6b8c8842363376 https://www.semanticscholar.org/paper/0fbd17a4f791e04bbf8f240f7c48c178900e30a6 https://www.semanticscholar.org/paper/3b9732bb07dc99bde5e1f9f75251c6ea5039373e https://www.semanticscholar.org/paper/88d346374f17189cebef7394ae5d39492443df89 https://www.semanticscholar.org/paper/0834e74304b547c9354b6d7da6fa78ef47a48fa8 https://www.semanticscholar.org/paper/424aef7340ee618132cc3314669400e23ad910ba https://www.semanticscholar.org/paper/f63e917638553414526a0cc8550de4ad2d83fe7a https://www.semanticscholar.org/paper/231af7dc01a166cac3b5b01ca05778238f796e41 https://api.semanticscholar.org/7db4728ee373c5ac331bdf6a20c3606041dc916c https://api.semanticscholar.org/3456dff2e826c405b9e66fd477d143d6fa0c5387 https://api.semanticscholar.org/83b7149dfe340e2cd61839e2912892e4af54e716 https://api.semanticscholar.org/6252591ddd738f7e31f01899ed479908d056d0a5 https://api.semanticscholar.org/55f84ec5cecec6928497f0eb9b16ccefdd998b83 https://api.semanticscholar.org/3069b2e330e5119305b5f33cc7e05d1fb96eb2ba https://api.semanticscholar.org/b4f45a736c4731dcf87cb045ee99267b123abcf8 https://api.semanticscholar.org/b45f96cd36a14acc54afc7ddab498207aeaf54a1 https://api.semanticscholar.org/8f65550a1d0664e84b7f41b574b7feb1ef4fd175 https://api.semanticscholar.org/d8e09300e1565e6f465366f47b9a85134187e5ca https://api.semanticscholar.org/c7ad3453a1342b9d90e4a89d0341c46e47d368bc https://api.semanticscholar.org/92c166356c50de9e5c95e94eb125a9a0ee299668 https://api.semanticscholar.org/20bc952c3b79c5a19e43505b8b2085ea195c2cd5 https://api.semanticscholar.org/4db3cae5ad79d6f1dcee96a942be5b893f1c7196 https://api.semanticscholar.org/626625af2bed665eb7d37d816e7c32f070874431 https://api.semanticscholar.org/b25d36dfa2cc72d88d5d00af870257ea6e9ee423 https://api.semanticscholar.org/37fb4694feef166c3f86bdc1a94bcd8db5fa3e3a https://api.semanticscholar.org/f8f514d83d40bfada127644883ba382c87ecaa51 https://api.semanticscholar.org/8bebaa4b676da549b0837be231a1b0a45af22574 https://api.semanticscholar.org/f6df45845a1d6c2b3107a6a607d1a3053bc092ac https://api.semanticscholar.org/3d2985292c1a293aa07502d2f18244ac2d9b4459 https://api.semanticscholar.org/ecedd20b2e209b908df6ecc084dff5d92ef4e4d0 https://api.semanticscholar.org/ba6e34831ac686904def933464d77262090273d9 https://api.semanticscholar.org/516d9bdfad67b7cf7d31db8a9724042db53f5802 https://api.semanticscholar.org/c8d79c3d3d441f6457d291e8ddd25b8c3eee236e https://www.semanticscholar.org/paper/8704a532929e309423060ebd7eff758b3a423837 https://www.semanticscholar.org/paper/526cf249c2760b7bdbb28f2a2a7c85851d3c2727 https://www.semanticscholar.org/paper/36ee2c8bd605afd48035d15fdc6b8c8842363376 https://api.semanticscholar.org/aff90d3153d8552e167d157e3a7b3dfe8dc02e6f https://api.semanticscholar.org/5b26c148dcb5f121c61662cde36edeb40d781b04 https://api.semanticscholar.org/adb29deeb7fbe1cb09199ffa00bf460e9e7a5708 https://api.semanticscholar.org/4aed3a0d8432af6eeff5c3d12b86765ab35f136d https://api.semanticscholar.org/e68f17c28dffba8eb6ab04522d9b05f98ce09302 https://api.semanticscholar.org/07362aaedc37b0d8765f2da482b58990ce8e29c5 https://api.semanticscholar.org/65847553f010c12a34932cd31f64cea2d0eb496c https://api.semanticscholar.org/d883a4240695acdfea12949ff841901b012cf1d8 https://api.semanticscholar.org/429f8ba9f187576f57e404ec4f5c3de3105b46ab https://api.semanticscholar.org/bf8174a43ddac3d9b8e015213c723766937c7da7 https://api.semanticscholar.org/79994e5a09c235d093860797627384cba5270d74 https://api.semanticscholar.org/691493d98ad3350ec60ab2774be84c8a16c6cd89 https://api.semanticscholar.org/69678fa3ba9f91882cc49ab32a580f9c2bb290fc https://api.semanticscholar.org/358bd3f5364d416965576034beae658494e5ec7b https://api.semanticscholar.org/2bed6262bc2547f21d5c34741ce02d5e806674d6 https://api.semanticscholar.org/81333fd7bd47b8a6a2bb9403a99666f5de980ead https://api.semanticscholar.org/5834fc21e0701ee7cfc4a0bd4383648c0dc539ef https://api.semanticscholar.org/e39e1d32736aa4e44db0496fd9660515726bd2b1 https://api.semanticscholar.org/51ec4e93d8ae4c62453fdb34c6866696da0527b1 https://api.semanticscholar.org/8e19b9c070b70ce2dfb8057d19d585a05eed1674 https://api.semanticscholar.org/fc8836f653df14507a7f4bcf82d015e224f73aec https://api.semanticscholar.org/4bdef16e02c6b723d3e6d39a2a51cbcf9dbc2a05 https://api.semanticscholar.org/615ecf66da2c6193981fe403c401b4183a83a293 https://api.semanticscholar.org/78ebfd760a8a43ca94967b3a56125a74e6044ffc https://api.semanticscholar.org/a6b966d4ac7d7b3763d03c6eff2900dbd4eda606