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A simplified parsimonious higher order multivariate Markov chain model with new convergence condition

IOP Conference Series: Materials science and Engineering 2017年第1期231卷

作者： Chao Wang Chuan-sheng Yang School of Mathematics Physics and Information Science Zhejiang Ocean University Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province

In this paper, we present a simplified parsimonious higher-order multivariate Markov chain model with new convergence condition. (TPHOMMCM-NCC). Moreover, estimation method of the parameters in TPHOMMCM-NCC is give. N...

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Neighborhood collaborative classifiers

Neighborhood collaborative classifiers

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2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016

作者： Xu, Suping Yang, Xibei Tsang, Eric C. C. Mantey, Eric A. School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang212003 China School of Economics and Management Nanjing University of Science and Technology Nanjing210094 China Faculty of Information Technology Macau University of Science and Technology C-Macau519020 China Intelligent Information Processing Key Laboratory of Shanxi Province Shanxi University Taiyuan030006 China Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhejiang Ocean University Zhoushan316022 China

ISBN: (纸本)9781509003891

In neighborhood rough set model, the majority rule based neighborhood classifier (NC) is easy to be misjudged with the increasing of the size of information granules. To remedy this deficiency, we propose a neighborhood collaborative classifier (NCC) based on the idea of collaborative representation based classification (CRC). NCC first performs feature selection with neighborhood rough set, and then instead of solving the classification problem by the majority rule, NCC solves a similar problem with collaborative representation among the neighbors of each unseen sample. Experiments on UCI data sets demonstrate that: 1) Our NCC achieves satisfactory performance in larger neighborhood information granules when compared with NC;2) NCC reduces the size of dictionary when compared with CRC. © 2016 IEEE.

关键词： Classification (of information)

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Composite fault diagnosis and intelligent maintenance based on data driven

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key Engineering Materials 2016年 693卷 1357-1360页

作者： Liu, Jing Dong, Yongfeng Li, Yan Lei, Siyuan He, Shuqun School of Computer Science and Engineering Hebei University of Technology Tianjin300401 China Hebei Key Laboratory of Dig Data Calculation Hebei University of Technology Tianjin300401 China School of Economics and Management Hebei University of Technology Tianjin300401 China

For composite fault is difficult to diagnose, the characteristics of the large amount of data. This paper presents a method of The Prediction method of Composite Fault Based on data driven to establish intelligence unit Based on a collection of virtual individuals associated with the virtual failure associated collection and virtual behavior associated collection. Composite fault warning engine modeling is proposed, and give the warning value of composite fault finally. This method is fully assessing the future "dominant state" on the basis of the fully aware of current "hidden state". The impact of factors such as disturbance of hidden failures on composite fault prediction are fully considered, to some extent, the long-span composite failure prediction problem is solved, and the experiments show that the method effectively increases the accuracy of composite fault prediction. © 2016 Trans Tech Publications, Switzerland.

关键词： Failure analysis

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Design of a 420GHz GaAs Monolithic Integrated Sub-Harmonic Mixer

Design of a 420GHz GaAs Monolithic Integrated Sub-Harmonic M...

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2016 IEEE 9th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies

作者： Ge Liu Bo Zhang Yong Fan Lisen Zhang Dong Xing Junlong Wang School of Electronic Engineering Universtity of Electronic Science and Technology of China National Key Laboratory of Application Specific Integrated Circuits Hebei Semiconductor Research Institute

In this paper,a 420 GHz GaAs monolithic integrated sub-harmonic mixer based on planar Schottky diode is *** combine the diode 3D model,nonlinear model and passive circuit by field-circuit method,then optimize the circuit through harmonic balanced method,finally study the GaAs monolithic integrated 420 GHz sub-harmonic *** results for the mixer achieved DSB conversion loss of 7.161 dB at420.4GHz when the LO pumped power was 6dBm at210 *** conversion loss was less than 9dB from384 GHz to 451 GHz.

关键词： sub-harmonic mixer schottky diode monolithic GaAs

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IRMD: Malware Variant Detection Using Opcode Image Recognition

IRMD: Malware Variant Detection Using Opcode Image Recogniti...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Jixin Zhang Zheng Qin Hui Yin Lu Ou Yupeng Hu College of Computer Science and Electronic Engineering Hunan University Hunan China Hunan Key Laboratory of Big Data Research and Application Hunan China

ISBN: (纸本)9781509053827

Malware detection becomes mission critical as its threats spread from personal computers to industrial control systems. Modern malware generally equips with sophisticated anti-detection mechanisms such as code-morphism, which allows the malware to evolve into many variants and bypass traditional code feature based detection systems. In this paper, we propose to disassemble binary executables into opcodes sequences, and then convert the opcodes into images. By using convolutional neural network to compare the opcode images generated from binary targets with the opcode images generated from known malware sample codes, we can detect if the target binary executables is malicious. Theoretical analysis and real-life experiments results show that malware detection using visualized analysis is comparable in terms of accuracy, our approach can significantly improve 15% of detection accuracy when the detection set contains a large quantity of binaries and the training set is much smaller.

关键词： Malware Image recognition Training Feature extraction Image reconstruction Histograms Neural networks

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Influences of excitation power and temperature on photoluminescence in phase-separated InGaN quantum wells

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Chinese Physics B 2015年第2期24卷 237-241页

作者：王强冀子武王帆牟奇郑雨军徐现刚吕元杰冯志红 School of Physics Shandong University School of Science Qilu University of Technology State Key Laboratory of Crystal Materials Shandong University National Key Laboratory of Application Specific Integrated Circuit(ASIC) Hebei Semiconductor Research Institute

The photoluminescence（PL） properties of a green and blue light-emitting InGaN/GaN multiple quantum well structure with a strong phase separated into quasi-quantum dots（QDs） and an InGaN matrix in the InGaN epilayer are *** excitation power dependences of QD-related green emissions（PD〉） and matrix-related blue emissions（PM） in the low excitation power range of the PL peak energy and line-width indicate that at 6 K both Pm and PD are dominated by the combined action of Coulomb screening and localized state filling ***,at 300 K,Pm is dominated by the non-radiative recombination of the carriers in the InGaN matrix,while PD is influenced by the carriers transferred from the shallower QDs to deeper QDs by *** is consistent with the excitation power dependence of the PL efficiency for the emission.

关键词： photoluminescence InGaN quantum wells phase separation

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Model of three-way decision based on the space of set pair information granule and its application

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Tongxin Xuebao/Journal on Communications 2016年 37卷 15-24页

作者： Zhang, Chun-Ying Wang, Li-Ya Li, Ming-Xia Liu, Bao-Xiang College of Science North China University of Science and Technology Tangshan063009 China Key Laboratory of Data Science and Application of Hebei Province Tangshan063009 China

Through the analysis of the existing theory and method of three-way decision, model of three-way decision based on the space of set pair information granule was proposed, which was to explain the intension and extension of three-way decision on the view of unity of opposites. Firstly the space structure of set pair information granule can be divided into positive granule, negative granule, different granule, which were similar and slightly different with three regions of generalized three-way decision. The three kinds of information granules in set pair information granule space were built based on certain positive degree, negative degree and different degree. Secondly, according to the given threshold, set pair information granule is divided into mutually disjointing positive region, negative region and different region. Based on these three regions, the computing method of decision loss function is put forward, and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evaluate and make decision on risk investment, then good decision results have been achieved. © 2016, Editorial Board of Journal on Communications. All right reserved.

关键词： Decision making

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Effects of grafting on free fatty acid contents and related synthetic enzyme activities in peel and flesh tissues of oriental sweet melon during the different development period

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IOP Conference Series: Earth and Environmental science 2018年第1期185卷

作者： J H Hao Z Y Qi J R Li C J Liu L Wang W T Jin X Li H Y Qi Beijing Key Laboratory for Agricultural Application and New Technique College of Plant Science and Technology Beijing University of Agriculture No. 7 Beinong Road Changping District Beijing P. R. of China Administration Office for public service in Benxi city of Liaoning Province No. 101 Jiefang North Road Mingshan District Benxi P. R. of China Agricultural Bureau of Jing Country of Hebei Province No.36 Jinghua Road Jing Country Hebei P. R. of China Key Laboratory of Protected Horticulture of Education Ministry and Liaoning Province College of Horticulture Shenyang Agricultural University No. 120 Dong Lin Road Shenhe District Shenyang P. R. of China

In this experiment, white seed pumpkin 'Shengzhen No. 1' was used as rootstock for the oriental sweet melon (Cucumis melo L.) 'Yumeiren'. The fruits of own-rooted melons were used as control. The objective of this experiment was to study the effects of grafting on the following parameters: content of free fatty acids and activities of synthetic enzymes (LOX, ADH, and AAT). These parameters were measured in the peel and flesh tissues of oriental sweet melon at different time-points. Due to grafting, the content of oleic acid and linolenic acid decreased in peel tissues of melons at early stages of maturity. Therefore, total contents of free fatty acids were lower than those of control. However, there was no significant difference in the content of three free fatty acids in flesh tissue; this content was lower than that in peel tissue. Due to grafting, enzymatic activities of ADH and AAT decreased in peel tissue of melons; however, these enzymes showed different activities in flesh tissues of melons subjected to grafting. Nevertheless, there was no significant difference in enzymatic activities of flesh tissues; however, these activities were lower than that of peel tissue. These results indicate that free fatty acid content and related synthetic enzyme activities decreased when grafting was included in the cultivation of oriental sweet melons. Consequently, the aroma of these melons decreased due to grafting.

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The research of warning model of hidden failure based on data mining

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key Engineering Materials 2016年 693卷 1844-1848页

作者： Liu, Jing Zhu, Qingxiang Yu, Xin Wang, Jingxin Huang, Yige School of Computer Science and Engineering Hebei University of Technology Tianjin300401 China Hebei Key Laboratory of Dig Data Calculation Hebei University of Technology Tianjin300401 China School of Economics and Management Hebei University of Technology Tianjin300401 China School of Economics and Management YanShan University Qinhuangdao066004 China

Complex equipment is mainly used in important areas of national defense, health care, banking, etc. Consequences of failure are relatively severe, while the hidden failures are contained in the most complex devices as the process is running. Hidden failures in the normal operation of the device is difficult to find, and only under certain conditions will be triggered, while other faults may be led. The stability of the running system will be undermined. In order to monitor the occurrence and development of hidden failure of complex equipment, a hidden failure warning model based on data mining has been put forward, and the theory of the model has been analyzed, the selection gist of the model parameters has been given. The result shows that the accuracy of hidden failure impact value forecast by the model is 93.33%, the impact degree of the hidden failure effect on the dominant failure can be effectively monitored, and the model makes a good preventative effect against the sudden failure caused by the hidden failure. © 2016 Trans Tech Publications, Switzerland.

关键词： data mining

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An efficient parallel association rules mining algorithm for fault diagnosis

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key Engineering Materials 2016年 693卷 1326-1330页

作者： Ji, Haipeng Wang, Taiyong Liu, Jing Fan, Shiyan Wang, Zhipeng Zhang, Kairan Mechanical Engineering College Tianjin University Tianjin China Mechanical Engineering College Yanshan University Qinhuangdao Hebei China School of Computer Science and Engineering Hebei University of Technology Tianjin China Hebei Key Laboratory of Dig Data Calculation Hebei University of Technology Tianjin China School of Economics and Management Hebei University of Technology Tianjin China

With the development of Internet industry, equipment data is increasing. The traditional method is not suitable for processing large data. Aiming at inefficient problem of Apriori algorithm when mining very large database, an efficient parallel association rules mining algorithm (Advanced Pruning Parallel Apriori Algorithm) based on a cluster is presented. APPAA algorithm can enhance the mining efficiency, as well as the system's extension. Experimental results show that APPAA algorithm cuts down 85% mining time of Apriori, and it has good characteristics of parallel and *** it is suitable for mining very large size database of fault diagnosis. © 2016 Trans Tech Publications, Switzerland.

关键词： data mining

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