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International Conference on Measuring technology and Mechatronics Automation

作者： Guo Li Li Tai Lai Computer Engineering Department Beijing Information Technology College Beijing 100018 China China Science Publishing & Media Ltd. Beijing 100086 China

ISBN: (纸本)9781467371445

In the wireless sensor network monitoring activities, the sensor node location information is very important. To achieve node location information localization algorithm is adopted to estimate the better method. This article will mainly study the wireless sensor network localization algorithm based on multidimensional scaling, is proposed based on the Hop - Euclidean MDS - MAP (D) localization algorithm. It is not only improve the location accuracy, and it is conducive to the expansion of the network.

关键词： Wireless sensor network (WSN) Multidimensional scaling Hop - Euclidean algorithm

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Vocal activity informed singing voice separation with the iKala dataset

Vocal activity informed singing voice separation with the iK...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Tak-Shing Chan Tzu-Chun Yeh Zhe-Cheng Fan Hung-Wei Chen Li Su Yi-Hsuan Yang Roger Jang Research Center for Information Technology Innovation Academia Sinica Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan iKala Interactive Media Inc. Taiwan

A new algorithm is proposed for robust principal component analysis with predefined sparsity patterns. The algorithm is then applied to separate the singing voice from the instrumental accompaniment using vocal activity information. To evaluate its performance, we construct a new publicly available iKala dataset that features longer durations and higher quality than the existing MIR-1K dataset for singing voice separation. Part of it will be used in the MIREX Singing Voice Separation task. Experimental results on both the MIR-1K dataset and the new iKala dataset confirmed that the more informed the algorithm is, the better the separation results are.

关键词： information services Electronic publishing Internet Harmonic analysis MATLAB

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(1,7,4) Data hiding scheme for searching in hidden text with automata

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Vietnam Journal of computer Science 2015年第4期2卷 257-265页

作者： Le Quang Hoa Nguyen Huy Truong Cheonshik Kim Ching-Nung Yang School of Applied Mathematics and Informatics Hanoi University of Science and Technology Hanoi Vietnam Department of Digital Media Engineering Anyang University Anyang Republic of Korea Department of Computer Science and Information Engineering National Dong Hwa University Hualien Taiwan ROC

In this paper, we present a new data hiding scheme (1,7,4) for grayscale images, where 7 is the number of pixels in each block of the image, 4 is the number of secret bits which can be hidden in each block with restriction that at most one pixel is changed, and the gray value is changed at most 3 from the original one. As shown in the paper, this reaches the theoretical limit MSDR1 of hidden bits in each 7-block of images. A hiding scheme (2,14,8) is obtained as a direct consequence, and one application of this scheme is given to solve the problem of searching in hidden texts in stego-images. To solve this problem, finite automata technique with fuzzy approach is introduced.

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Secure and private protocols for server-less RFID systems

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第2期7卷 131-142页

作者： Jialiang, He Youjun, Xu Zhiqiang, Xu College of Information and Communication Engineering Dalian Nationalities University China College of Computer Science and Information Technology Daqing Normal University China Department of digital media technology Sichuan College of Media and Communications China

Server-less RFID systems are used more and more widespread recently, which allow RFID readers authenticating a specific tag without the help of on-line backend servers, it brings higher design requirements for RFID security protocols. In this paper, a mutual RFID authentication protocol and its corresponding serach ptotocol for server-less systems are proposed. The security properties of these protocols are analyzed as well by comparing with the related protocols. © 2014 SERSC.

关键词： Authentication

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SHREC'15 track: 3D object retrieval with multimodal views 8

SHREC'15 track: 3D object retrieval with multimodal views

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8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015

作者： Gao, Yue Liu, Anan Nie, Weizhi Su, Yuting Dai, Qionghai Chen, Fuhai Chen, Yingying Cheng, Yanhua Dong, Shuilong Duan, Xingyue Fu, Jianlong Gao, Zan Guo, Haiyun Guo, Xin Huang, Kaiqi Ji, Rongrong Jiang, Yingfeng Li, Haisheng Lu, Hanqing Song, Jianming Sun, Jing Tan, Tieniu Wang, Jinqiao Yin, Huanpu Zhang, Chaoli Zhang, Guotai Zhang, Yan Zhao, Chaoyang Zhao, Xin Zhu, Guibo School of Medicine University of North Carolina Chapel Hill United States School of Electronic Information Engineering Tianjin University China Department of Automation Tsinghua University China School of Information Science and Engineering Xiamen University China Center for Research on Intelligent Perception and Computing Institute of Automation Chinese Academy of Sciences China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China College of Computing and Digital Media DePaul University United States School of Computing Tianjin University of Technology China School of Computer Science and Information Engineering Beijing Technology and Business University China

ISBN: (纸本)9783905674781

This paper reports the results of the SHREC'15 track: 3D Object Retrieval with Multimodal Views, which goal is to evaluate the performance of retrieval algorithms when multimodal views are employed for 3D object representation. In this task, a collection of 505 objects is generated and both the color images and the depth images are provided for each object. 311 objects are selected as the queries and average retrieval performance is measured. The track attracted six participants and the submission of 26 runs, to two tasks. The evaluation results show a promising scenario about multimodal view-based 3D retrieval methods, and reveal interesting insights in dealing with multimodal data. © The Eurographics Association 2015.

关键词： information retrieval

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Using ArchC to model a Hard-PLC processor

Using ArchC to model a Hard-PLC processor

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International Conference on Industrial Instrumentation and Control (ICIC)

作者： Johannes Kohl Dietmar Fey Jürgen Bäsig Chair of Computer Science 3 University of Erlangen-Nürnberg Erlangen Germany Department Electrical Engineering Precision Engineering Information Technology Technische Hochschule Nürnberg Nürnberg Germany

The advancing automation of the industrial production requires faster and more efficient programmable logic controllers. Today's controller architectures based on specialized processors to execute the STL application are at their limits. For any further improvement the architecture of these processors needs to evolve from single core in order execution to a multicore out of order architecture. This step can not occur without additions to the PLC's instruction set. Therefore a PLC processor instruction set simulation is required that allows a quick evaluation of the effectiveness and efficiency of instruction set changes as well as changes to the processor's architecture. Current architecture description languages (ADL) allow the fast modeling of these changes with enough flexibility for the planned improvements and provide fast simulation speed. This work presents for the first time an instruction set simulation environment for STL compatible PLC processors using the ADL ArchC as a base for further research.

关键词： Registers Object oriented modeling Process control Operating systems Multicore processing Memory management

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Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception

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Journal of computer Science & technology 2014年第5期29卷 751-761页

作者：贾珈梁伟俭吴育昊张秀龙王昊蔡莲红蒙美玲 Department of Computer Science and Technology Tsinghua University Tsinghua National Laboratory for Information Science and Technology Tsinghua University Key Laboratory of Pervasive Computing Ministry of Education Human-Computer Communications Laboratory Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Tsinghua-CUHK Joint Research Center for Media Sciences Technologies and Systems

computer-aided pronunciation training（CAPT） technologies enable the use of automatic speech recognition to detect mispronunciations in second language（L2） learners＇ speech. In order to further facilitate learning, we aim to develop a principle-based method for generating a gradation of the severity of mispronunciations. This paper presents an approach towards gradation that is motivated by auditory perception. We have developed a computational method for generating a perceptual distance（PD） between two spoken phonemes. This is used to compute the auditory confusion of native language（L1）. PD is found to correlate well with the mispronunciations detected in CAPT system for Chinese learners of English,i.e., L1 being Chinese（Mandarin and Cantonese） and L2 being US English. The results show that auditory confusion is indicative of pronunciation confusions in L2 learning. PD can also be used to help us grade the severity of errors（i.e.,mispronunciations that confuse more distant phonemes are more severe） and accordingly prioritize the order of corrective feedback generated for the learners.

关键词： second language learning computer-aided pronunciation training mispronunciation computational speech perception

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Privacy-by-Norms Privacy Expectations in Online Interactions

Privacy-by-Norms Privacy Expectations in Online Interactions

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IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW

作者： Theodore Patkos Giorgos Flouris Panagiotis Papadakos Antonis Bikakis Pompeu Casanovas Jorge González-Conejero Rebeca Varela Figueroa Anthony Hunter Guðjón Idir George Ioannidis Marta Kacprzyk-Murawska Andrzej Nowak Jeremy Pitt Dimitris Plexousakis Agnieszka Rychwalska Alexandru Stan Foundation for research and technology - hellas Institute of computer science Department of information studies University college london Political science and public law dept Uab institute of law and technology Department of computer science University college london IMMI international modern media institute IN2 search interfaces development ltd Institute institute for social studies University of warsaw Electrical and electronic engineering Imperial college london

In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it personal, and nearly all of it valuable. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. This position paper proposes a socio-technical solution based on collective awareness and informed consent, whereby data collection and data protection norms are configured by the users themselves, using a collaborative participatory process of argumentation. This refers to the ability of users to understand privacy-related documents and their implications via participatory processes, wisdom-of-the-crowds approaches and visual cues. By strengthening the trust bond between service developers and users, the transformative impact of this solution, called Privacy-by-Norms (Pb Norms), will be to encourage innovation and to ensure that (big) data's (tiny) generators are also its beneficiaries. Pb Norms will aim to complement existing top-down solutions to data protection that rely on technical or legal provisions. The goal is to enable citizens to express their privacy expectations through the use of mature ICT technologies from the fields of Computational Argumentation and the Semantic Web.

关键词： Privacy Law Europe Technological innovation Data protection

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Data merging method by protecting energy in wireless sensor networks

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Journal of Networks 2014年第8期9卷 2245-2251页

作者： Wang, Fushun Wang, Bin Sun, Xiaohua Cai, Zhenjiang College of Information Science and Technology Agricultural University of Hebei Baoding China Department of Digital Media Hebei Software Institute Baoding China College of Mechanical and Electrical Engineering Agricultural University of Hebei Baoding China Department of Electrical and Computer Engineering United States University of Virginia VA United States

Privacy protecting is a direct manifestation of information confidentiality, such as the perception of the terminal location information. Data collection is an important information resource of things, and it is also one of the needs for protecting sensitive information. Privacy protecting has a significant role in application of the Cyber Physical Systems (CPS). As a part of the Internet technology, Wireless Sensor Networks (WSNs) can supply the privacy protecting in data merging. This paper presents a novel data merging method (DMM) by protecting energy in wireless sensor networks, which utilities properties of the data merging tree framework to depress communication overhead. It randomly allocates the time slices to nodes with the aim of avoiding impact, and limits the impacted range to loss resilience. Compared with the PDA algorithm, the experimental results show that DMM can protect data privacy and achieve accurate data merging results while getting the same epoch delay as tiny aggregation algorithm. It has small communication overhead. DMM uses datadependent fusion characteristics of the tree structure to eliminate PDA algorithm for unnecessary communication node so that the data transmission amount is reduced to about 52% of PDA in case of the same privacy protection security. © 2014 ACADEMY PUBLISHER.

关键词： Energy efficiency

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Online opponent modeling for action prediction

Online opponent modeling for action prediction

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作者： Chiu, Chih-Ming Hung, Shao-Shin Tsay, Jyh-Jong Fan, Kuo-Kuang Tsaih, Der-Chian Department of Computer Science and Information Engineering National Chung Cheng University Taiwan Department of Computer Science and Information Engineering WuFeng University Taiwan Department of Digital Media Design National Yunlin University of Science and Technology Taiwan Department of Electronic Commerce Management Nanhua University Taiwan

It is difficult for humans to behave randomly. Over the past decades, psychological research shows that we cannot randomize our responses, even if we specially try. Therefore, predicting a player's actions through opponent modelling is essential in design of game AI. For Online games, learning to anticipate one player's actions also is a great benefit to play against a completely different player. In this paper, we propose a novel N-Gram based algorithm and use a suffix matching tree to model opponent behaviours. By the model, we can predict the player's next style efficiently using the last few actions seen. Compared with our previous data stream mining approaches, naming MSSBE and MSSMB, an approximate 40% improvement is achieved in accuracy of prediction. The proposed method is simple in its implementation and has the potential for parallel processing in GPU.

关键词： Forecasting

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