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4th International Conference on Information Science and Cloud Computing, ISCC 2015

作者： Liu, Yang Wang, Ning Xin, Guodong Peng, Yu Song, Jia Department of Computer Science and Technology Harbin Institute of Technology at Weihai Weihai264209 China Automatic Test and Control Institute Harbin Institute of Technology Harbin150008 China

In recent years, the abnormal data detection has played a vital role in the environmental monitoring of wireless sensor networks (WSNs). However, several key issues in the abnormal data detection still remain to be solved, such as the real time capability of the detection and the classification of the abnormal data. To meet the classification requirements, this paper proposes an abnormal data detection method based on the temporal-spatial correlation in WSNs. Spatial and temporal correlations of the data in WSNs are analyzed in this paper. In addition, abnormal data detection methods of two dimensions are proposed respectively. By Combining the detection results of these two dimensions, the abnormal data can be found and classified accurately. Simulations show that the method proposed in this paper can guarantee both rationality and accuracy for WSNs. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Wireless sensor networks

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Admissibility and ℋ∞ performance analysis of T-S fuzzy descriptor systems with time-delay

Admissibility and ℋ∞ performance analysis of T-S fuzzy des...

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2nd International Conference on Intelligent control and Information Processing, ICICIP 2011

作者： Zhang, Guojiang Han, Chunsong Wu, Ligang Zeng, Qingshuang Control and Simulation Center Harbin Institute of Technology Harbin 150080 China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150080 China School of Computer and Control Engineering Qiqihar University Qiqihar China

ISBN: (纸本)9781457708145

This paper is concerned with the problem of admissibility and ℋ∞ performance of a class of Takagi-Sugeno (T-S) fuzzy descriptor systems with time-delay. A delay-dependent sufficient condition is obtained such that the system is regular, impulse-free and asymptotically stable with the ℋ∞ performance below a prescribed level. The salient feature of the approach include the introduction of a new type of Lyapunov-Krasovskii functional and the technique of delay partitioning. These conditions are formulated in the form of linear matrix inequalities (LMIs). Finally, a numerical example is provided to illustrate the effectiveness of the proposed theories. © 2011 IEEE.

关键词： Time delay

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MDCT-based perceptual hashing for compressed audio content identification

MDCT-based perceptual hashing for compressed audio content i...

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2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007

作者： Yuhua, Jiao Bian, Yang Mingyu, Li Xiamu, Niu School of Computer Science and Technology Harbin Institute of Technology Harbin China Dept. of Automatic Test and Control Harbin Institute of Technology Harbin China

ISBN: (纸本)1424412749

In this paper, a perceptual audio hashing method in compressed domain is proposed for content identification, in which MDCT coefficients as the intermediate decoding result are selected for perceptual feature extraction and hash generation. The perceptual feature extraction is based on psychoacoustic model and exhibits good discrimination ability for different audio contents but robustness against common audio signal processing operations. Via feature extraction in the compressed domain, the MDCT-based compressed audios, such as MP3, AAC, etc., could be efficiently identified without complete decoding which facilitates those practical applications with strict requirements of memory and computational complexity, such as online audio retrieval, indexing of massive compressed audio data, audio identification by mobile phone, etc. The algorithm is highly robust against MDCT compression which is widely used in audio coding. Experiments demonstrate the effectiveness of the proposed scheme. © 2007 IEEE.

关键词： Feature extraction

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Depth map cavity repair algorithm based on RGB image 8

Depth map cavity repair algorithm based on RGB image

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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Sheng, Yiyang Fu, Haohai Jilin Institute of Chemical Technology School of Information and Control Engineering Jilin China School of Computer Science and Technology Changchun Institute of Technology Changchun China

ISBN: (纸本)9798350302455

The 3D reconstruction process often requires high-precision depth images. However, based on the limitations of the current depth sensor's own equipment and the influence of shootingobjects, environment and other factors, the obtained depth map often has cavities and noise. Aiming at the problem that the traditional depth map cavity repair algorithm can not take into account the cavity filling and object edge preservation, and can noteffectively use the RGB image information obtained synchronously, a cavity repair algorithm based on RGB image is proposed. The algorithm divides the cavities in the depth map into edge parts and non-edge parts by obtaining the edge information in the RGB image, and then uses different methods to repair the two parts of the cavities:For non-edge cavities, because the neighborhood depth value changes continuously, the neighborhood depth value is directly used for repair;for the cavity at the edge, due to the discontinuous change of the neighborhood depth value, the depthvalue corresponding to the pointwith the largest distance centerweight in the neighborhood is selected to repair the cavity by using the pixel points corresponding to the cavity in the RGB image and its neighborhood. The experimental results show that the algorithm makes full use of the RGB image information, which can accurately fill the depth map cavitys and effectively avoid the edge blur of the object. © 2023 IEEE.

关键词： Repair

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High-temperature characteristics of AixGa1-xN/GaN Schottky diodes

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半导体学报 2009年第3期30卷 39-45页

作者： Zhang Xiaoling Li Fei Lv Changzhi Xie Xuesong Li Ying Mohammad S N Department of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China Department of Mechanical and Electrical Engineering Shougang Institute of Technology Beijing 100041 China Department of Electrical & Computer Engineering Howard University Washington DC 20059 USA

High-temperature characteristics of the metal/AlxGa1_xN/GaN M/S/S (M/S/S) diodes have been studied with current-voltage (I-V) and capacitance-voltage (C-V) measurements at high temperatures. Due to the presence of the piezoelectric polarization field and a quantum well at the AIxGa1_xN/GaN interface, the AIxGa1_xN/GaNdiodes show properties distinctly different from those of the AIxGa1_xN diodes. For the AIxGa1_xN/GaN diodes, an increase in temperature accompanies an increase in barrier height and a decrease in ideality factor, while the AIxGa1_xN diodes are opposite. Furthermore, at room temperature, both reverse leakage current and reverse break-down voltage are superior for the AIxGa1_xN/GaN diodes to those for the AIxGa1_xN diodes.

关键词： Schottky diodes A1GaN/GaN high-temperature

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Fuzzing:Progress,Challenges,and Perspectives

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computers, Materials & Continua 2024年第1期78卷 1-29页

作者： Zhenhua Yu Zhengqi Liu Xuya Cong Xiaobo Li Li Yin Institute of Systems Security and Control College of Computer Science and TechnologyXi'an University of Science and TechnologyXi'an710054China School of Mathematics and Information Science Baoji University of Arts and SciencesBaoji721013China Institute of Systems Engineering Macao University of Science and TechnologyTaipaMacaoChina

As one of the most effective techniques for finding software vulnerabilities,fuzzing has become a hot topic in software *** feeds potentially syntactically or semantically malformed test data to a target program to mine vulnerabilities and crash the *** recent years,considerable efforts have been dedicated by researchers and practitioners towards improving fuzzing,so there aremore and more methods and forms,whichmake it difficult to have a comprehensive understanding of the *** paper conducts a thorough survey of fuzzing,focusing on its general process,classification,common application scenarios,and some state-of-the-art techniques that have been introduced to improve its ***,this paper puts forward key research challenges and proposes possible future research directions that may provide new insights for researchers.

关键词： Fuzzing vulnerability software testing software security

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Iris Segmentation in Challenging Conditions

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Pattern Recognition and Image Analysis 2018年第4期28卷 652-657页

作者： Korobkin, M. Odinokikh, G. Efimov, Yu. Solomatin, I. Matveev, I. National Research University of Electronic Technology Zelenograd Russia Federal Research Center Computer Science and Control of Russian Academy of Sciences Moscow Russia Moscow Institute of Physics and Technology Dolgoprudnyi Russia

Iris segmentation is an irreplaceable stage of iris recognition pipeline. Its quality hugely affects overall accuracy. Previously when conditions were mild and controlled the task was solved by image processing techniques and rule based approaches. Nowadays widespread of biometric technologies has relaxed operation conditions for such systems demanding more flexible and robust solutions. Constantly increasing data and sensors availability created fertile field for growth of machine learning methods capable to cope with complex conditions. The latest contributions to iris segmentation were made on this surge by leveraging abundant data and modern machine learning algorithms. In spite of previously achieved great results this work addresses even more challenging conditions that allows iris recognition to be used in wide range of real life cases. Novel CNN architectures are proposed in this work. They were designed to combine the latest achievements in classification and semantic segmentation fields. FCN and SegNet architectures have been picked up as prototypes and were strengthened by residual blocks. This allowed to make lightweight networks that could be shipped on various embedded platforms to successfully operate under less controllable environmental conditions. The approach allowed to obtain 0.93 and 0.92 IoU on original and modified CASIA-Iris-Lamp datasets which is a significant improvement in comparison with the results achieved before. © 2018, Pleiades Publishing, Ltd.

关键词： Deep neural networks

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From Parallel Plants to Smart Plants:Intelligent control and Management for Plant Growth

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 161-166页

作者： Mengzhen Kang Fei-Yue Wang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences (SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. Parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description U+0028 the crop model U+0029, prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed. © 2017 Chinese Association of Automation.

关键词： Agriculture Artificial intelligence Decision support systems Expert systems Sustainable development

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Mixed parametric-nonparametric identification of Hammerstein and Wiener systems - A survey

Mixed parametric-nonparametric identification of Hammerstein...

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Universite Libre de Bruxelles

作者： Hasiewicz, Zygmunt Mzyk, Grzegorz Śliwiński, Przemyslaw Wachel, Pawel Institute of Computer Engineering Control and Robotics Wroclaw University of Technology 50-370 Wroclaw Poland

ISBN: (纸本)9783902823069

The paper surveys the ideas of cooperation between parametric and nonparametric (kernel-based) algorithms of nonlinear block-oriented system identification. Various strategies are proposed, dependently on the system structure, number of data and the prior knowledge. The estimates are consistent and their rates of convergence are presented. The aim of the paper is to show some recent results in the field in a systematic, ordered way. © 2012 IFAC.

关键词： Surveys

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Iris Anti-Spoofing Solution for Mobile Biometric Applications

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Pattern Recognition and Image Analysis 2018年第4期28卷 670-675页

作者： Odinokikh, G. Efimov, Iu. Solomatin, I. Korobkin, M. Matveev, I. Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow Russia Moscow Institute of Physics and Technology Dolgoprudny Russia National Research University of Electronic Technology Zelenograd Russia

The ability to provide reliable protection against counterfeiting is one of the key requirements for a biometric security system. Iris recognition as the technology emerging on mobile market is assumed to handle various types of spoof attacks to prevent compromise of the user’s personal data. A method of iris anti-spoofing is proposed in this work. It is based on applying of convolutional neural network and capable to work in real-time on the mobile device with highly limited computational resources. Classification of iris sample for spoof and live is made by a single frame using a pair of images: eye region and normalized iris. The following types of iris spoof samples are considered in this particular work: printed on paper, printed on paper with imposition of a contact lens, printed on paper with application of transparent glue. Testing of the method is performed on the dataset manually collected and containing all the mentioned spoof sample types. The method revealed its high performance in both classification accuracy and processing speed as well as robustness under uncontrollably changing environmental conditions, which are specific and significant when interacting with the mobile device. © 2018, Pleiades Publishing, Ltd.

关键词： Machine learning

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