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  Subjects -> ELECTRONICS (Total: 175 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 7)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 5)
Advances in Electronics     Open Access   (Followers: 76)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
Advances in Power Electronics     Open Access   (Followers: 33)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 305)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 24)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 13)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 44)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 253)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 104)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 85)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 91)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 50)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 2)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 185)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 96)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 77)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 46)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 65)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 69)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 55)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 19)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 39)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 70)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 11)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 45)
IET Smart Grid     Open Access  
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 57)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 24)
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 12)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 10)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 5)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 12)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 14)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 8)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 12)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 24)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 3)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 10)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 23)
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 7)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 8)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 162)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 7)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 9)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal  
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 10)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 28)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 5)
Microelectronics and Solid State Electronics     Open Access   (Followers: 18)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 33)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal  
Networks: an International Journal     Hybrid Journal   (Followers: 6)
Open Journal of Antennas and Propagation     Open Access   (Followers: 8)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 15)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 1)
Problemy Peredachi Informatsii     Full-text available via subscription  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Pulse     Full-text available via subscription   (Followers: 5)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 9)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 53)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 75)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 2)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)
Wireless Power Transfer     Full-text available via subscription   (Followers: 4)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Journal Cover
Chinese Journal of Electronics
Journal Prestige (SJR): 0.247
Citation Impact (citeScore): 1
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1022-4653 - ISSN (Online) 2075-5597
Published by IET Homepage  [42 journals]
  • Multi-feature-Based Subjective-Sentence Classification Method for Chinese
           Micro-blogs
    • Authors: Yangsen Zhang;Yaorong Zhang;Yuru Jiang;Gaijuan Huang;
      Pages: 1111 - 1117
      Abstract: The accurate classification of subjective and objective sentences is important in the preparation for micro-blog sentiment analysis. Since a single feature type cannot provide enough subjective information for classification, we propose a Support vector machine (SVM)-based classification model for Chinese micro-blogs using multiple features. We extracted the subjective features from the Part of speech (POS) and the dependency relationship between words, and constructed a 3-POS subjective pattern set and a dependency template set. We fused these two types of features and used an SVM-based model to classify Chinese micro-blog text. The experimental results showed that the performance of the classification model improved remarkably when using multiple features.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Control Structure Analysis and Recovery of Embedded Binaries
    • Authors: Weixing Ji;Yuanhong Huo;Yizhuo Wang;Yujin Gao;Feng Shi;
      Pages: 1118 - 1124
      Abstract: Existing decompilers use rule-based algorithms to transform unstructured Control flow graph (CFG) into equivalent high-level programming language constructs with “goto” statements. One problem of such approaches is that they generate a large number of “goto”s in the output code, which reduce the readability and hinder the understanding of input binaries. A global search algorithm is proposed based on structural analysis. This algorithm restructures a CFG and generates fewer number of “goto” statements than the rule-based algorithm does. We also present a Genetic algorithm (GA) for the global search approach to locate near optimal solutions for large CFGs. Evaluation results on a set of real CFGs show that the genetic algorithm-based heuristic for global search is capable of finding high-quality solutions.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Hybrid Semantic Concept Temporal Pooling for Large-Scale Video Event
           Analysis
    • Authors: Wu Liu;Huadong Ma;
      Pages: 1125 - 1131
      Abstract: To solve the task of detecting and recounting events in videos with limited training examples, we propose a novel two-stage hybrid concept temporal pooling approach that is aware of potential concept drift in the video stream. We initially partition videos into temporal pyramids consisting of keyframes. Semantic concepts in keyframes is detected, which enables us to derive aggregated detection scores for each temporal pyramid using average-pooling and ultimately for the entire video via max-pooling. Owing to this refined hybrid pooling, our method yields more discriminative semantic representations with respect to the event query. We also develop an effective filtering strategy to cope with noisy concept detectors to robustify the textual description generation in recounting. Experiments on the large scale TRECVID MEDTest dataset demonstrate our method improves the accuracies over state-of-the-art methods, both for event detection and recounting.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Machine-Learning Aided Analysis of Clone Evolution
    • Authors: Fanlong Zhang;Siau-Cheng Khoo;Xiaohong Su;
      Pages: 1132 - 1138
      Abstract: Code clones are similar code fragments appearing in software. As software evolves, code clones may be subjected to changes as well; we term this clone evolution. There have not been many investigations into clone evolution characteristics. Therefore, we tackle this by exploring useful information associated with changes of clones during evolution. We focus on three perspectives of clone evolution, ranging from individual clone changes to characterization of clone genealogies. With the help X-means clustering, we establish associations between clone changes and life of clones. Our experimental results on two softwares show that clones are mostly stable throughout software evolution. For the relatively smaller group of “unstable” clones, changes usually happen after several versions, and consistent changes appear more frequently than inconsistent ones. We suggest that developers should pay more attention to relatively longer genealogies, and should consider applying changes consistently to clone group when a constituent clone fragment has undergone change.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Cryptanalysis of Schemes Based on Polynomial Symmetrical Decomposition
    • Authors: Jinhui Liu;Huanguo Zhang;Jianwei Jia;
      Pages: 1139 - 1146
      Abstract: Advances in quantum computation threaten to break public key cryptosystems such as RSA, ECC, and ElGamal that are based on the difficulty of factorization or taking a discrete logarithm, although up to now, no quantum algorithms have been found that are able to solve certain mathematical problems on non-commutative algebraic structures. Against this background, some novel public key cryptography based on Polynomial symmetrical decomposition (PSD) problem have been proposed. We find that these schemes are not secure. We present that they are vulnerable to structural attack, linearization equations attack, overdefined systems of multivariate polynomial equations attack and that, they only require polynomial time complexity to retrieve the same secret key for some given public keys respectively. We also propose an improvement to enhance public key cryptography based on PSD problem. In addition, we discuss possible lines of future work.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Self-adaptive Processing and Forecasting Algorithm for Univariate Linear
           Time Series
    • Authors: Shufen Liu;Songyuan Gu;Jun Peng;
      Pages: 1147 - 1153
      Abstract: As the Box-Jenkins method could not grasp the non-stationary characteristics of time series exactly, nor identify the optimal forecasting model order quickly and precisely, a self-adaptive processing and forecasting algorithm for univariate linear time series is proposed. A self-adaptive series characteristic test framework which employs varieties of statistic tests is constructed to solve the problem of inaccurate identification and inadequate processing for non-stationary characteristics of time series. To achieve favorable forecasts, an optimal forecasting model building algorithm combined with model filter and candidate model pool is proposed, in which a univariate linear time series forecasting model is built. Experimental data demonstrates that the proposed algorithm outperforms the comparative method in all forecasting performance statistics.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A Multi-instruction Streams Extension Mechanism for SIMD Processor
    • Authors: Yuanxi Peng;Feng Zhou;Yue Hai;Yaohua Wang;
      Pages: 1154 - 1160
      Abstract: Multi-media applications contain multibranches loop, it is of low efficiency to map them into traditional Single instruction multiple data (SIMD) structures. Considering the above matter, we proposed a multiinstruction streams extension method for traditional SIMD structures. The main idea is to simultaneously dispatch multiple instruction streams to multiple lanes. Compared with traditional SIMD whose lanes receive the unified single instruction stream but execute conditionally through a lane mask vector, Multi-instruction streams extension grants each of its lanes the ability to receive and execute the instructions of one particular branch path. Thus, it is of high efficiency to map multi-branches loop in applications. The design is finally implemented through Verilog language, and then integrated into the FT-Matrix vector-SIMD chip. Application profiling results shows that the proposed method consumes mere 2.61% area overhead while obtains about 1.8x to 2.4x performance gain.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A High Energy-Efficient Reconfigurable VLIW Symmetric Cryptographic
           Processor with Loop Buffer Structure and Chain Processing Mechanism
    • Authors: Wei Li;Xiaoyang Zeng;Zibin Dai;Longmei Nan;Tao Chen;Chao Ma;
      Pages: 1161 - 1167
      Abstract: By exploring symmetric cryptographic data level and instruction-level parallelism, the reconfigurable processor architecture for symmetric ciphers is presented based on Very-long instruction word (VLIW) structure. The application-specific instruction-set system for symmetric ciphers is proposed. As for the same arithmetic operation of symmetric ciphers, eleven kinds of reconfigurable cryptographic arithmetic units are designed by the reconfigurable technology. As to the requirement of high energy-efficient design, the loop buffer structure for instruction fetching unit is proposed to reduce the power consumption significantly with the same frequency as conventional, meanwhile, the chain processing mechanism is proposed to improve the cryptographic throughput without any area overhead. It has been fabricated with 0.18μm CMOS technology. The result shows that the processor can work up to 200MHz, and the fourteen kinds of cryptographic algorithms were mapped in the processor, the encryption throughput of AES, SNOW2.0 and SHA2 algorithm can achieve 1.19Gbps, 1.05Gbps, and 407Mbps respectively.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A Layered Co-evolution Based Rough Feature Selection Using Adaptive
           Neighborhood Radius Hierarchy and Its Application in 3D-MRI
    • Authors: Weiping Ding;Zhijin Guan;Jiehua Wang;Di Tian;
      Pages: 1168 - 1176
      Abstract: As the conventional feature selection algorithms are prone to the poor running efficiency in largescale datasets with interacting features, this paper aims at proposing a novel rough feature selection algorithm whose innovation centers on the layered co-evolutionary strategy with neighborhood radius hierarchy. This hierarchy can adapt the rough feature scales among different layers as well as produce the reasonable decompositions through exploiting any correlation and interdependency among feature subsets. Both neighborhood interaction within layer and neighborhood cascade between layers are adopted to implement the interactive optimization of neighborhood radius matrix, so that both the optimal rough feature selection subsets and their global optimal set are obtained efficiently. Our experimental results substantiate the proposed algorithm can achieve better effectiveness, accuracy and applicability than some traditional feature selection algorithms.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Trustworthy Service Selection Integrating Cloud Model and Possibility
           Degree Ranking of Interval Numbers
    • Authors: Hua Ma;Zhigang Hu;Meiling Cai;
      Pages: 1177 - 1183
      Abstract: It has been challenging to select suitable services from abundant candidates in cloud environment. Aiming to the characteristics of batch computing mode and stream computing mode, a novel trustworthy service selection approach is proposed integrating cloud model and interval numbers theory. To facilitate potential users to understand the quality of service, the trustworthiness of service is described with interval number using reverse cloud generator, and the services with poor performance are filtered out by employing deviation degree or proximity degree. Two formulas of possibility degree of interval numbers are designed to compare the trustworthiness values between cloud services by utilizing probability zone analysis and geometrical analysis respectively, and the ranking method for possibility degree of interval numbers is exploited to select the most trustworthy service. The experiments show that this approach is effective to improve the accuracy of service selection and select trustworthy service for potential users in cloud paradigm.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A Novel DIBR 3D Image Watermarking Algorithm Resist to Geometrical Attacks
    • Authors: Shen Wang;Chen Cui;Xiamu Niu;
      Pages: 1184 - 1193
      Abstract: A histogram shape based method is utilized to design watermarking algorithm to protect the Depth-image-based rendering (DIBR) 3D images. To make the watermarking method robust to common attacks, much more suitable pixel groups are selected for watermark embedding which are insensitive to geometric attacks. Taking into account the adjusting of baseline distance in DIBR process might affect the watermarking extraction, a postprocessing is proposed after DIBR process to make the proposed watermarking method much more robust to DIBR process. As the experimental results shown, the proposed method is much more robust to the geometric attacks and combined attacks compared with existing methods. In addition, the proposed watermarking method also has good robustness to the adjusting of baseline distance and depth image blurred.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A Fully Complex-Valued Gradient Neural Network for Rapidly Computing
           Complex-Valued Linear Matrix Equations
    • Authors: Lin Xiao;Rongbo Lu;
      Pages: 1194 - 1197
      Abstract: This paper concerns online solution of complex-valued linear matrix equations in the complex domain. Differing from the real-valued neural network, which is only designed for solving real-valued linear matrix equations in the real domain, a fully complex-valued Gradient neural network (GNN) is developed for computing complex-valued linear matrix equations. The fully complex-valued GNN model has the merit of reducing the unnecessary complexities in theoretical analysis and realtime computation, as compared to the real-valued neural network. Besides, the convergence analysis of the proposed complex-valued GNN model is presented, and simulation experiments are performed to substantiate the effectiveness and superiority of the proposed complex-valued GNN model for online computing the complex-valued linear matrix equations in the complex domain.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Fully Pipelined Soft Vector Processor as a CPU Accelerator
    • Authors: Yeyong Pang;Shaojun Wang;Yu Peng;Xiyuan Peng;
      Pages: 1198 - 1205
      Abstract: FPGA based soft vector processing accelerators are used frequently to perform highly parallel data processing tasks. Since they are not able to implement complex control manipulations using software, most FPGA systems now incorporate either a soft processor or hard processor. A FPGA based AXI bus compatible vector accelerator architecture is proposed which utilises fully pipelined and heterogeneous ALU for performance, and microcoding is employed for reusability. The design is tested with several design examples in four different lane configurations. Compared with Central processing unit (CPU), Digital signal processor (DSP), Altera C2H tool and OpenCL SDK implementations, the vector processor improves on execution time and energy consumption by factors of up to 6.6 and 6.4 respectively.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Coupling Leveling Control Based on Fuzzy PID for Synchronous Loading
           System of Load-Bearing Test Bed
    • Authors: Duquan Zuo;Lixia Qian;Tianen Yang;Xiaojin Cui;Qiang Luo;
      Pages: 1206 - 1212
      Abstract: This paper describes a 4-cylinder hydraulic circuit system controlled by a new cross-coupled fuzzy PID, and its leveling algorithm is designed to meet the demand of the loading system for test bed. In order to enable synchronous loading and implement precise leveling control, the output displacement derived from a theoretical model, called Żn, is tracked in real-time. Using AMEsim software, the reliability of the scheme designed by master-slave control and fuzzy PID cross coupling control have been confirmed, and have drawn a conclusion that the more serious the inconsistencies of the load for 4-cylinder are, the more size corresponding synchronization errors will be. Further, leveling experiments have demonstrated that the synchronization performance of leveling system can be improved significantly by adjusting the load values for the 4-cylinder so as to meet the demand of its un-synchronization.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Leveled Homomorphic Encryption in Certificateless Cryptosystem
    • Authors: Hu Chen;Yupu Hu;Zhizhu Lian;
      Pages: 1213 - 1220
      Abstract: To lower communication complexity, a Certificateless homomorphic encryption (CLHE) scheme based on the Learning with errors (LWE) problem is constructed by introducing a new technique called probabilistic encoding with weakly homomorphic property. This technique can conveniently convert an intended message into two elements in a ring, which will be respectively encrypted under both public keys of a user in certificateless cryptosystem. Upon knowing both elements simultaneously, the original message can be easily recovered. It is hidden perfectly by the probabilistic property of encoding. This CLHE removes evaluation keys by using the approximate eigenvector method given by Gentry et al., which makes it into a pure CLHE. It is proven to be semantic secure in the Random oracle model (ROM). The results indicate it is able to homomorphically evaluate any functions in a class functions with given multiplicative depth L.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A New Word Clustering Algorithm Based on Word Similarity
    • Authors: Lichi Yuan;
      Pages: 1221 - 1226
      Abstract: Category-based statistic language model is an important method to solve the problem of sparse data in statistical language models. But there are two bottlenecks about this model: 1) The problem of word clustering, it is hard to find a suitable clustering method that has good performance and has not large amount of computation; 2) Class-based method always loses some prediction ability to adapt the text of different domain. In order to solve above problems, a novel definition of word similarity by utilizing mutual information was presented. Based on word similarity, the definition of word set similarity was given and a bottom-up hierarchical clustering algorithm was proposed. Experimental results show that the word clustering algorithm based on word similarity is better than conventional greedy clustering method in speed and performance, the perplexity is reduced from 283 to 207.8.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Noise Reduction for Images with Non-uniform Noise Using Adaptive Block
           Matching 3D Filtering
    • Authors: Guangyi Chen;Guangchun Luo;Ling Tian;Aiguo Chen;
      Pages: 1227 - 1232
      Abstract: Noise reduction is a very important topic in image processing. We propose a new method to deal with the case where the noisy image has different noise levels in different regions. The main idea is to segment automatically the noisy image into several sub-images so that each sub-image has approximately the same noise level. We perform Block matching 3D filtering (BM3D) to these subimages in order to obtain denoised sub-images. We then merge sub-images together and enhance the discontinuous regions between the sub-images by performing BM3D again on small image patches. Our experimental results show the effectiveness of this proposed method in terms of Peak signal to noise ratio (PSNR) when compared with the bivariate wavelet shrinkage and the standard BM3D method. In addition to Gaussian white noise, our method performs better than the bivariate wavelet shrinkage and the standard BM3D method even for signal dependent noise.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Dimensionality Reduction for Hyperspectral Data Based on Sample-Dependent
           Repulsion Graph Regularized Auto-encoder
    • Authors: Xuesong Wang;Yi Kong;Yuhu Cheng;
      Pages: 1233 - 1238
      Abstract: To achieve high classification accuracy of hyperspectral data, a dimensionality reduction algorithm called Sample-dependent repulsion graph regularized auto-encoder (SRGAE) is proposed. Based on the sample-dependent graph, by applying the repulsion force to the samples from different classes but nearby, a sample-dependent repulsion graph is built to make the samples from the same class will be projected to samples that are close-by and the samples from different classes will be projected to samples that are far away. The sample-dependent repulsion graph can avoid the neighborhood parameter selection problem existing in the nearest neighborhood graph. By integrating advantages of deep learning and graph regularization technique, the SRGAE can maintain the learned deep features are consistent with the inherent manifold structure of the original hyperspectral data. Experimental results on two real hyperspectral data show that, when compared with some popular dimensionality reduction algorithms, the proposed SRGAE can yield higher classification accuracy.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Handling OOVWords in Mandarin Spoken Term Detection with an Hierarchical
           n-Gram Language Model
    • Authors: Xuyang Wang;Pengyuan Zhang;Xingyu Na;Jielin Pan;Yonghong Yan;
      Pages: 1239 - 1244
      Abstract: In this paper, an hierarchical n-gram Language model (LM) combining words and characters is explored to improve the detection of Out-of-vocabulary (OOV) words in Mandarin Spoken term detection (STD). The hierarchical LM is based on a word-level LM, with a character-level LM estimating probabilities of OOV words in a class-based way. The region containing OOV words in the sentence to be decoded is detected with the help of the word-level LM and the probabilities of OOV words are derived from the character-level LM. The implementation of the proposed approach is based on a dynamic decoder. The proposed approach is evaluated in terms of Actual term weighted value (ATWV) on two Mandarin data sets. Experiment results show that more than 10% relative improvement for OOV word detection is achieved on both sets. In addition, the detection of In-vocabulary (IV) words is barely influenced as well.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Optimal Weight and Parameter Estimation of Multi-structure and
           Unequal-Precision Data Fusion
    • Authors: Jiongqi Wang;Zhangming He;Haiyin Zhou;Shuxing Li;Xuanying Zhou;
      Pages: 1245 - 1253
      Abstract: Measured data fusion process is an effective way to improve the data process precision. In this paper, the fusion weight is firstly introduced, and then we study the optimal weight and parameter estimation using multistructure and unequal-precision data fusion. For the linear regression model, it is theoretically proved that the optimal weight is only related to the data measure precision, which is consistent with the classical Gauss-Markov theorem. For the nonlinear regression model, we analyze the method for calculating the optimal weight theoretically, and then provide the algorithm for the optimal weight and the parameter estimation for the actual data fusion.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Steganalysis of Low Embedding Rates LSB Speech Based on Histogram Moments
           in Frequency Domain
    • Authors: Wanxia Yang;Shanyu Tang;Miaoqi Li;Yongfeng Cheng;Zhili Zhou;
      Pages: 1254 - 1260
      Abstract: As wavelet packet transform is able to focus on minute change of signals, this study proposes an analytic approach of low embedding steganograpy based on high order Histogram moments in frequency domain (HMFD), which provides a key solution to the feature selection and extraction of HMFD. The detection results are tested with the LSB matching steganograpy of different embedding rates in speech signals, respectively, it is proved that the detection performance with HMFD applied is greater than that of histogram statistical moments. HMFD by Wavelet packet decomposition (WPD) can effectively detect low embedding rates Least significant bit (LSB) speech steganography, its accuracy can be 60.8% while the embedding rate is only 3%.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Annotating the Literature with Disease Ontology
    • Authors: Li Yang;Yanhong Zhou;Ying Zheng;
      Pages: 1261 - 1268
      Abstract: With the rapid growth of inquiry in biomedicine concerning diseases, the recognition of diseases becomes especially important. But only the recognition of the biomedical concepts in literature is not enough, annotations and normalizations of the concepts with normalized Metathesaurus get even more important. This paper proposes a system to annotate the literature with normalized Metathesaurus. First, a two-phase Conditional random fields (CRFs) is used to recognize the disease mentions, including the location and identification. Then, the paper adapts the Disease ontology (DO) to annotate the diseases recognized for normalization by computing the similarity between disease mentions and concepts. According to the similarities, the disease mentions are denoted as disease concepts and instances distinctively. The experiments carried out on the Arizona disease corpus show that our system makes a good achievement and outperforms the other works.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A Stochastic Approximation Method with Enhanced Robustness for Crosstalk
           Cancellation
    • Authors: Huaxing Xu;Qia Wang;Risheng Xia;Junfeng Li;Yonghong Yan;
      Pages: 1269 - 1275
      Abstract: The objective of acoustic crosstalk cancellation is to use loudspeakers to deliver prescribed binaural signals (that reproduce a particular auditory scene) to a listener's ears, which is useful for 3-D audio applications. In practice, the actual transfer function matrix will differ from the design matrix, because of either the listener's head movement or rotation, etc. Crosstalk cancellation system (CCS) is very non-robust to these perturbations. Generally, in order to improve the robustness of CCS, several pairs of loudspeakers are needed whose position varies continuously as frequency varies. With the help of assumed stochastic analysis, we propose a stochastic robust approximation crosstalk cancellation method based on random perturbation matrix modeling the variations of the transfer function matrix. Under the free-field condition, simulation results demonstrate the effectiveness of the proposed method.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Construction and Count of 1-Resilient Rotation Symmetric Boolean Functions
           on 4p Variables.
    • Authors: Shanqi Pang;Wenju Xu;Jiao Du;Ying Wang;
      Pages: 1276 - 1283
      Abstract: This paper studies the properties of orbit matrix and gives a formula to compute the number of these orbit matrices on 4p variables, where p is an odd prime. It has been demonstrated that the construction of 1-resilient Rotation symmetric Boolean functions (RSBFs) on 4p variables is equivalent to solving an equation system. By the proposed method, all 1-resilient RSBFs on 12 variables can be constructed. We present a counting formula for the total number of all 1-resilient RSBFs on 4p variables. As application of our method, some 1-resilient RSBFs on 12 variables are presented.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Integer Programming Problem Based on Plasmid DNA Computing Model
    • Authors: Zhixiang Yin;Jianzhong Cui;Jing Yang;
      Pages: 1284 - 1288
      Abstract: A DNA algorithm by operating on plasmids was presented to solve a special integer programming, a typical hard computing problem. The DNA algorithm employed double-stranded molecules to encode variables of 0-1 programming problem, the encoded DNA molecules were inserted into circular plasmids as foreign DNA molecules. Followed by, a series of enzymatic treatments to plasmids were performed in order to find feasible solutions to the given problem. The final optimum was obtained by applying founded feasible solutions to object function. Compared with other DNA algorithms of integer programming problem, the proposed algorithm is simple, error-resistant, above all, feasible. Our work clearly showed the distinct advantages of plasmid DNA computing model when solving integer related programming problem.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Securing Cloud Data Using a Pirate Scheme
    • Authors: Hongbing Cheng;Manyun Qian;Shui Yu;
      Pages: 1289 - 1296
      Abstract: Inspired by the approach of smart pirates dealing with their treasures, the paper proposed a scheme to protect the data security and privacy in cloud computing. In the proposed scheme, cloud data will be divided into some sequenced or logical blocks. These data blocks will be distributed among cloud storage service providers. Instead of protecting the data themselves, the proposed scheme protects the mapping of the data elements on each provider. Comprehensive analysis and simulation are designed to verify the proposed scheme, the results show that it is secure for cloud data, and the real implementation on Amazon S3 also indicates that the proposed scheme is feasible and efficient for the cloud data storage.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Resource Allocation for Device-to-Device Communications Based on Guard
           Area Underlying Cellular Networks
    • Authors: Gang Wang;Liufei Xiong;Cangzhou Yuan;
      Pages: 1297 - 1301
      Abstract: Device-to-Device (D2D) communications have drawn considerable attention with the obvious advantages of a higher data rate and spectrum efficiency. However, this also brings intra-cell interference due to resource sharing with traditional Cellular users (CUs). An effective resource allocation scheme for D2D communications to maximize the system throughput is developed. This scheme first utilizes the guard area model to restrict the interference between D2D users (DUs) and CUs. Then, a max-flow algorithm is used to match the pair of CUs and DUs and maximize the total sum rate of the communication system. Numeral results demonstrate that the proposed scheme can yield significant throughput gain while maintaining quality for both CUs and DUs.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Three-Dimension Localization of Wideband Sources Using Sensor Network
    • Authors: Yong Zhang;Peiyu He;Fan Pan;
      Pages: 1302 - 1307
      Abstract: Usually source localization using sensor networks requires many sensors to localize a few number of sources, and it is still very troublesome to deal with coherent sources. When the three-dimensional (3-D) space are considered, the localization will become more difficult. A new approach is proposed to localize 3-D wideband coherent sources based on distributed sensor network, which consists of two nodes and each node contains only two sensors. Direction-of-arrival (DOA) estimation is performed at each node by employing a new noise subspace proposed. Combining the pattern matching idea and the prior geometrical information of sources, a cost function is constructed to estimate the rough positions. A rotational projection algorithm is proposed to estimate the heights of sources and correct the rough positions, and consequently the localization of 3-D sources could be achieved. Numerical examples are provided to demonstrate the effectiveness of this approach.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Fuzzy Sets Assisted Forthcoming Event Detection from Distributed Sensory
           Data
    • Authors: Yinglong Li;Shangfeng Mo;Yanyan Li;Zhiqiang Zhou;Mingqi Lyu;
      Pages: 1308 - 1314
      Abstract: Detecting the forthcoming events timely is a primary way to minimize their (events) damages in distributed sensor systems. We propose a novel event detection framework for sensor networks with multi microenvironments using fuzzy sets. Fuzzy sets assisted event information description and fusion approaches are proposed, as well as two distributed Node-level forthcoming event detection (NFED) algorithms are devised respectively. Experimental results on both real-life and synthetic data sets demonstrate that our NFED-by leveraging Spatial correlations (NFED-bySC) algorithm only requires a small amount of data transmission with accuracy guarantee.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • A Novel Parameter Estimation Method for Maneuvering Target Based on
           DCF-RFRFT
    • Authors: Gang Yang;Jing Tian;Shuang Wu;Wei Cui;Siliang Wu;
      Pages: 1315 - 1318
      Abstract: To resolve the range migration and Doppler frequency spread, a new parameter estimation method, namely Dual-carrier frequency-Radon fractional Fourier transform (DCF-RFRFT), is proposed based on the dual-carrier frequency radar data. In this method, dual-carrier frequency radar data is constructed in the range frequency domain and a new signal is constructed by multiplying one with the complex conjugate of the other. Radon fractional Fourier transform (RFRFT) is performed to obtain the estimates of velocity and acceleration. This method does not need any prior-knowledge of targets and can resolve the Doppler ambiguity problem. The simulation results demonstrate the effectiveness of the proposed algorithm.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Large Signal Statistical Model Oriented Parameter Extraction Method for
           GaN High Electron Mobility Transistors
    • Authors: Xuming Yu;Yuehang Xu;Zhang Wen;Zhikai Chen;Wei Hong;
      Pages: 1319 - 1324
      Abstract: Efficient parameter extraction method is essential to establish large signal statistical model. This paper presents an automatic parameter extraction method of I-V model for Gallium nitride (GaN) High electron mobility transistors (HEMTs) large signal statistical model. To accurate modeling the statistical characterization, all of 53 parameters in an I-V model are considered. In order to realize automatic parameter extraction, the model parameters are divided into blocks according to their physical meaning to reduce the complexity of the I-V model. Different parameter blocks are extracted separately by fitting the pulsed I-V transfer characteristic curves of the device at different quiescent bias points. A large signal statistical model for 0.25μm GaN HEMTs process has been established by using the proposed method after measuring 34 GaN HEMTs from 10 batches. The results show that the large-signal performances (Output power and Power added efficiency) can be reproduced with high accuracy by the proposed statistical model.
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
  • Fast Position and Velocity Determination for Pulsar Navigation Using NML
           and LSM
    • Authors: Jin Liu;Jin Wu;Ling Xiong;Jiancheng Fang;Gang Liu;
      Pages: 1325 - 1329
      Abstract: To reduce the computational cost, a Fast position and velocity joint determination (FPVD) method based on the Near-maximum likelihood (NML) and the Least square method (LSM) is proposed for X-ray pulsar navigation. Considering the fact that the Doppler effects caused by the velocity of the spacecraft alters the X-ray pulse Time-of-arrival (TOA), we adopt the NML to obtain multi-TOAs, and then utilize the LSM to estimate the variation of TOAs instead of the pulsar profile distortion adopted by the Maximum-likelihood (ML) estimation method. Finally, according to the variation value and TOAs, the position and velocity information of the spacecraft are calculated. The simulation results have demonstrated that the FPVD method is far faster than the ML estimation method, and its accuracy approaches the CramerRao lower bound (CRLB).
      PubDate: 11 2017
      Issue No: Vol. 26, No. 6 (2017)
       
 
 
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