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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Wang, Hang Liu, Ye Zhang, Hao Li, Junhua Zhang, Liqing MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9783642420535

BCI-FES therapy has been proved to be an effective way to help post-stroke patients restore motor function of paralyzed limbs. In the existing BCI-FES system, patients can only asynchronously receive feedback in the form of FES or robot-assisted arm movements, and such a system does not provide a positive feedback corresponding to patient's motor imagery. In this work, we propose a causal related BCI-FES rehabilitation training platform, consisting top-down and bottom-up causal chains to achieve a better rehabilitation performance. We compare our system with a popular BCI-FES system on EEG data recorded from ten patients divided in two groups. The results show that almost all patients have achieved improvements in the motor function recovery after our training. © Springer-Verlag 2013.

关键词： Patient treatment

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Multiobjective evolutionary approach to silicon solar cell design optimization

Multiobjective evolutionary approach to silicon solar cell d...

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5th Asia Symposium on Quality Electronic Design, ASQED 2013

作者： Huang, Wen-Tsung Chen, Chieh-Yang Chen, Yu-Yu Hsu, Sheng-Chia Li, Yiming Parallel and Scientific Computing Laboratory Department of Electrical and Computer Engineering National Chiao Tung University 1001 Ta-Hsueh Road Hsinchu 300 Taiwan

ISBN: (纸本)9781479913145

In this study, we implement a device simulation-based multi-objective evolutionary algorithm (MOEA) for the optimal design of silicon solar cells. The short-circuited current, the open-circuited voltage, and the conversion efficiency are calculated and used to evaluate the fitness score and access the evolutionary quality of designing parameters via the implemented non-dominating sorting genetic algorithm in the unified optimization framework. Designing parameters, the material and structural parameters are simultaneously optimized for the explored solar cells. Our device simulation-based MOEA methodology is useful, compared with the conventional genetic algorithm, in the solar cell design optimization. © 2013 IEEE.

关键词： Thin film solar cells

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On authentication in a connected vehicle: Secure integration of mobile devices with vehicular networks

On authentication in a connected vehicle: Secure integration...

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2013 ACM/IEEE International Conference on Cyber-Physical systems, ICCPS 2013

作者： Han, Kyusuk Divya Potluri, Swapna Shin, Kang G. Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor M148109-2121 United States

ISBN: (纸本)9781450319966

Recent advances in in-vehicle technologies have paved way to a new era of connectivity. Vehicle manufacturers have already deployed various technologies for driving assistance, anti-theft, and infotainment. They are now developing ways to interface mobile devices with vehicles and provide the customer's smart phone or tablet the ability to send/receive information to/from the car. However, such an integration introduces severe security risks to the vehicle. The in-vehicle network was originally designed to operate in a closed environment and thus, security was not of concern. It has now become an important issue due to an increasing number of external interfaces to the in-vehicle network. Several studies have already shown that an in-vehicle network can be easily compromised just by connecting cheap commercial devices and doing reverse engineering. Although research efforts have been made to secure in-vehicle networks, most of them focused on defining security requirements, or presenting attack scenarios without providing any feasible solution. Also, to the best of our knowledge, there hasn't been any study with a specific focus on understanding and analyzing the security aspects of integrating mobile devices with cars. In this paper, we define the integration model, present the attack scenarios, define the security objectives, and then propose a 3-step verification mechanism that meets our objectives. © 2013 IEEE.

关键词： Authentication

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Percolation theory-based exposure-path prevention for wireless sensor networks coverage in internet of things

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IEEE Sensors Journal 2013年第10期13卷 3625-3636页

作者： Liu, Liang Zhang, Xi Ma, Huadong Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas AandM University College Station TX 77843 United States

Deriving the critical density to achieve region coverage for random sensor deployment is a fundamentally important problem in the area of Internet of Things (IoT). Most of the existing works on sensor coverage mainly concentrate on the full coverage models, which ensure that all points in the deployment region are covered at the expense of high complexity and cost. In contrast, many applications of IoT focus on the exposure-path prevention, which does not require full coverage sensor deployment, and instead it only needs the partial coverage, because the exposure paths are prevented as long as no moving objects or phenomena can go through a deployment region without being detected. Finally, we focus on the partial coverage by applying the percolation theory to solve the exposure path problem for the network of sensors in IoT. Most of the existing percolation-based schemes apply the continuum-percolation theory, which, however, suffers from the loose lower and upper bounds on the critical density. To overcome this problem, we propose a bond-percolation theory based scheme by mapping the exposure path problem into a bond percolation model. Using this model, we derive the critical densities for both omnidirectional sensor networks and directional sensor networks under random sensor deployment where sensors are deployed according to a two-dimensional Poisson process. The rigorous modeling/analyses and extensive simulations show that our proposed scheme can yield much tighter upper and lower bounds on the critical densities as compared with those generated by continuum-percolation. © 2001-2012 IEEE.

关键词： Wireless sensor networks

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Feature learning by multidimensional scaling and its applications in object recognition

Feature learning by multidimensional scaling and its applica...

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2013 26th Conference on Graphics, Patterns and Images, SIBGRAPI 2013

作者： Wang, Quan Boyer, Kim L. Signal Analysis and Machine Perception Laboratory Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 United States

ISBN: (纸本)9780769550992

We present the MDS feature learning framework, in which multidimensional scaling (MDS) is applied on high-level pair wise image distances to learn fixed-length vector representations of images. The aspects of the images that are captured by the learned features, which we call MDS features, completely depend on what kind of image distance measurement is employed. With properly selected semantics-sensitive image distances, the MDS features provide rich semantic information about the images that is not captured by other feature extraction techniques. In our work, we introduce the iterated Levenberg-Marquardt algorithm for solving MDS, and study the MDS feature learning with IMage Euclidean Distance (IMED) and Spatial Pyramid Matching (SPM) distance. We present experiments on both synthetic data and real images - the publicly accessible UIUC car image dataset. The MDS features based on SPM distance achieve exceptional performance for the car recognition task. © 2013 IEEE.

关键词： Object recognition

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Performance Comparison of Source Routing Tactics for WSN of Grid Topology

Performance Comparison of Source Routing Tactics for WSN of ...

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IEEE International Symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Wenxiang Li Yunhe Wu Chunsheng Zhu Yajie Ma Key Laboratory of Metallurgical Industry Process Systems in Hubei Province Wuhan University of Science and Technology Wuhan China Wuhan University of Science and Technology School of Information Science and Engineering Wuhan China Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China

The nodes near sink in wireless sensor networks are featured with heavy transmission loads, so these performance bottleneck nodes are prone to running out of energy early with shortened network lifetime. Routing tactic plays important role on transmission performance and energy consumption of network. In this paper, we enumerate typical source routing tactics in Grid topology, include 1) Random Equal Probability Forwarding, 2) Line Forwarding, 3) Source-Zigzag Forwarding, 4) Destination-Zigzag Forwarding, and 5) Balance Forwarding. We analysis the traffic load distribution among nodes for these routing tactics, and calculate the load of performance bottleneck nodes and transmission delay in one data collection cycle. Based on the energy consumption model, we further make comparison on the energy consumptions of transmission and standing-by for these tactics. Numerical results show that Balance Forwarding tactic leads to the least overall energy consumption on performance bottleneck nodes, and Line Forwarding and Random Equal-Probability Forwarding lead to high energy consumption.

关键词： Routing Energy consumption Topology Delays Telecommunication traffic Network topology Educational institutions

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20th International Conference on Language Processing and Intelligent Information systems, IIS 2013

作者： Stratogiannis, Georgios Siolas, Georgios Stafylopatis, Andreas Department of Electrical and Computer Engineering Intelligent Systems Laboratory National Technical University of Athens Zografou Campus Iroon Polytexneiou 9 15780 Zografou Greece

ISBN: (纸本)9783642386336

We present a system that performs Related Entity Finding, that is, Question Answering that exploits Semantic Information from the WWW and returns URIs as answers. Our system uses a search engine to gather all candidate answer entities and then a linear combination of Information Retrieval measures to choose the most relevant. For each one we look up its Wikipedia page and construct a novel vector representation based on the tokenization of the Wikipedia category names. This novel representation gives our system the ability to compute a measure of semantic relatedness between entities, even if the entities do not share any common category. We use this property to perform a semantic clustering of the candidate entities and show that the biggest cluster contains entities that are closely related semantically and can be considered as answers to the query. Performance measured on 20 topics from the 2009 TREC Related Entity Finding task shows competitive results. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Search engines

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A reconfigurable ray-tracing Multi-Processor SoC with hardware replication-aware instruction set extension

A reconfigurable ray-tracing Multi-Processor SoC with hardwa...

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13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013

作者： Nery, Alexandre S. Nedjah, Nadia França, Felipe M.G. Jozwiak, Lech Corporaal, Henk LAM - Computer Architecture and Microeletronics Laboratory Systems Engineering and Computer Science Program COPPE Federal University of Rio de Janeiro Brazil Department of Electronics Engineering and Telecommunications Faculty of Engineering State University of Rio de Janeiro Brazil Department of Electrical Engineering - Electronic Systems Eindhoven University of Technology Netherlands

ISBN: (纸本)9783319038582

Application code and processor parallelization, together with instruction set customization, are the most common and effective ways to enhance the performance and efficiency of application-specific processors (ASIPs). Both the effective code parallelization and data/task parallelism exploitation, as well as effective instruction set customization, enable an ASIP to achieve a significant performance improvement using limited extra hardware resources. However, a naive parallelization or instruction set customization may not result in the required performance improvement, leading to a waste of computing and energy resources. Therefore, when performing parallelization or custom instruction selection, complex tradeoffs between processing speed, circuit area and power consumption must be closely observed. In this paper, we propose and discuss an efficient ASIP-based Multi-Processor System-on-a-Chip (MPSoC) design for ray-tracing, exploiting application parallelism and hardware replication-aware instruction set customization. Without hardware sharing among the custom instructions units, the proposed parallel ray-tracer MPSoC design with custom instructions achieves 77% speed up in comparison to a single microprocessor design with the default instruction set. However, with the replication-aware instruction set customization, the speed up increases to 81%. © Springer International Publishing Switzerland 2013.

关键词： Integrated circuit design

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Terrain classification using a hexapod robot

Terrain classification using a hexapod robot

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2013 Australasian Conference on Robotics and Automation, ACRA 2013

作者： Best, Graeme Moghadam, Peyman Kottege, Navinda Kleeman, Lindsay Autonomous Systems Laboratory CSIRO Computational Informatics 1 Technology Court PullenvaleQLD Australia Department of Electrical and Computer Systems Engineering Monash University Wellington Road ClaytonVIC Australia

ISBN: (纸本)9780980740448

The effectiveness of a legged robot's gait is highly dependent on the ground cover of the terrain the robot is traversing. It is therefore advantageous for a legged robot to adapt its behaviour to suit the environment. In order to achieve this, the robot must be able to detect and classify the type of ground cover it is traversing. We present a novel approach for ground cover classification that utilises position measurements of the leg servos to estimate the errors between commanded and actual positions of each joint. This approach gives direct insight into how the robot is interacting with the terrain. These position sensors are usually built into the actuators and therefore our approach has the advantage of not requiring any additional sensors. We employ a multi-class Support Vector Machine with a 660-dimensional feature space consisting of features in gait-phase and frequency domains. We implemented our algorithm in the Robot Operating System (ROS) framework for real time classification and also developed a MATLAB implementation for extensive offline testing. Both implementations perform multi-class ground cover classification with high accuracy across five classes.

关键词： Robots

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Labeled Alignment for Recognizing Textual Entailment 6

Labeled Alignment for Recognizing Textual Entailment

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6th International Joint Conference on Natural Language Processing, IJCNLP 2013

作者： Wang, Xiao-Lin Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9784990734800

Recognizing Textual Entailment (RTE) is to predict whether one text fragment can semantically infer another, which is required across multiple applications of natural language processing. The conventional alignment scheme, which is developed for machine translation, only marks the paraphrases and hyponyms to justify the entailment pairs, while provides less support for the non-entailment ones. This paper proposes a novel alignment scheme, named labeled alignment, to address this problem, which introduces negative links to explicitly mark the contradictory expressions to justify the non-entailment pairs. Thus the alignment-based RTE method employing the proposed scheme, compared with those employing the conventional one, can gain accuracy improvement through actively detecting the signals of non-entailment. The experimental results on the data sets of two shared RTE tasks indicate the implemented system significantly outperforms both the baseline system and all the other submitted systems. © IJCNLP *** right reserved.

关键词： Alignment

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