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Chinese Automation Congress (CAC)

作者： Xinqiang Ma Likai Shen Baoquan Zhong Yi Huang Yong Liu Maonian Wu College of Computer Science and Technology Guizhou University Guiyang China School of Computer Science Hangzhou Dianzi University Hangzhou China School of Artificial Intelligence Chongqing University of Arts and Sciences Chongqing China Institute of Cyber-Systems and Control Zhejiang University Hangzhou China School of Information Engineering Huzhou University Hangzhou China

In a large number of bidding cases, there exists a widespread phenomenon of supplier group hustling or lowering the price to win the bid. In order to solve this problem and curb this trend, we propose a supplier group identification framework based on supplier bidding behavior, business-relationship and geo-relationship. For the supplier bidding quotation data, we adopt the method of correlation coefficient of bidding sequence to extract feature vectors and the method of clustering to find groups. For the business-relationship data, we crawl the industrial and commercial information from the industrial and commercial website to build the graph database and find the interest-association group. For geo-relationship data, we divide supplier groups based on different administrative level regions. Finally, we innovatively introduce a group-results merging algorithm based on Apriori correlation analysis to merge multiple group results. In the B-value test, after removing the group found in our framework, the average price of effective quotation can be significantly reduced and be closer to the estimated cost price by state grid. So our framework is validated effectively in supplier group recognition through experiments.

关键词： Correlation Mathematical model Databases Feature extraction Clustering algorithms Companies Procurement

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Application of Trusted Computing Technology in Active Defense of Smart Substation

引用

Journal of Physics: Conference Series 2021年第1期2108卷

作者： Liandong Chen Tao Yang Gang Li Xin Liu Ning Lu Kai Cheng Xiaopeng Xin State Grid HeBei Information and Telecommunication Branch Shijiazhuang Hebei China North China Electric Power University/School of Control and Computer Engineering Baoding Hebei China State Grid HeBei Electric Power Co. Ltd Shijiazhuang Hebei China

Nowadays, most security systems mainly use firewall, intrusion detection, virus killing and other technologies to defend against external attacks. This passive defense mode has low efficiency and high false positive rate, and active defense technology can solve these problems to the greatest extent. At present, the intelligent substation is in the development stage with weak security. After a large number of terminals are connected, although the operation efficiency of the whole station is improved, it also brings more risks. This paper takes the access security of terminal equipment in intelligent substation as the research object. By mining the security vulnerabilities of substation, an active defense method based on trusted computing is proposed, the applicability and efficiency of trusted computing technology in the field of substation active defense are proved and the effectiveness of the method is verified to realize the trust guarantee of the whole process of terminal access to intelligent substation.

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Initial ASEAN digital security and interoperability standard proposal

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AIP Conference Proceedings 2023年第1期2739卷

作者： Sangsuree Vasupongayya Gunawan Hutagalung Obrina Candra Chalee Vorakulpipat Doni Purnomo Parinda Wattanasri Eko Supriyanto Shukor Abd Razak Othman Ibrahim Anazida Zainal Sri Devi Ravana Hiep Cong Pham Tharith Sriv Daw Khin Myo Su Mora Hertanto Agus Winarno Prabaswari Raden Muhammad Taufik Yuniantoro Badrus Zaman Fatmawati Retna Apsari Yutika Amelia Effendi Norjihan Abdul Ghani Zarina Shukur Hamidah Ibrahim Nur Izura Udzir Marnel Peradilla Jude Michael Teves Nestor Michael Tiglao Cenon Alfonso Pg Emeroylariffion Abas Mueen Uddin Agustin Kusumayati Brian Sri Prahastuti Department of Computer Engineering Faculty of Engineering Prince of Songkla University Hatyai Songkhla 90110 THAILAND Directorate General of Post and Information Technology Ministry of Communication and Information Technology Jakarta INDONESIA Politeknik Siber dan Sandi Negara National Cyber & Crypto Agency (BSSN) Depok West Java INDONESIA Information Security Research Team at National Electronics and Computer Technology Center Bangkok THAILAND National Standardization Agency of Indonesia Jakarta INDONESIA Department of Disease Control Ministry of Public Health Mueang Nonthaburi Nonthaburi THAILAND School of Biomedical Engineering and Health Sciences Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA IJN-UTM Cardiovascular Engineering Center Institute of Human Centered Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA Faculty of Computer Science & Information Technology Universiti Malaya Kuala Lumpur MALAYSIA RMIT University Vietnam Ho Chi Minh City VIETNAM Royal University of Phnom Penh Phnom Penh CAMBODIA Yangon University of Economics Yangon MYANMAR Agency for the Assessment and Application of Technology (BPPT) Jakarta INDONESIA Faculty of Science and Technology Universitas Airlangga Surabaya East Java INDONESIA Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Surabaya East Java INDONESIA Centre for Cyber Security Universiti Kebangsaan Malaysia Bangi Selangor MALAYSIA Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang Selangor MALAYSIA Computer Technology Department College of Computer Studies De La Salle University Manila PHILIPPINES Software Technology Department College of Computer Studies De La Salle University Manila PHILIPPINES Electrical and Electronics Engineering Institute University of the Philippines Diliman Quezon City P

In this work, the result of the initial attempt to propose an Association of Southeast Asian Nations (ASEAN) digital security and interoperability standard to support the mobility among ASEAN countries is presented. Literature reviews on existing coronavirus disease 2019 (COVID-19) related digital technologies of six ASEAN member countries are conducted. Several concerns related to creating/implementing the ASEAN digital security and interoperability standard are discussed including the technology accessing concern, the data security and privacy concern, and the data interoperability and availability concern. The proposed solution toward creating an ASEAN digital security and interoperability standard is then presented. To evaluate the proposed solution, a survey has been conducted on representatives of nine ASEAN countries on four main issues including the security standards and requirements, the interoperability standard and requirements, the certifications, and the implementation challenges. According to the survey and the discussion, seven recommendations were proposed toward creating an ASEAN digital security and interoperability standard. First, each country collects and maintains the data of its own citizens and also provides a method to authenticate and access the data by authorized requests. Second, QR code standard or ASEAN QR code standard must be agreed upon so that it can be authenticated and verified by ASEAN countries. Third, health risk assessment must be agreed upon to be used. Forth, the security standard, the data, the data format and the exchange protocol must be agreed upon at the ASEAN policy level while adoption of international standards as an implementation guideline will ease of the process and neutralize different requirements from various countries. Fifth, any accountability of incidents must be agreed upon at the ASEAN policy level. Sixth, certification might be extended to certification of risk assessment for organizations, products or

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An improved quantum algorithm for A-optimal projection

arXiv

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arXiv 2020年

作者： Pan, Shi-Jie Wan, Lin-Chun Liu, Hai-Ling Wang, Qing-Le Qin, Su-Juan Wen, Qiao-Yan Gao, Fei State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Cryptology P.O. Box 5159 Beijing100878 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen518055 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

Dimensionality reduction (DR) algorithms, which reduce the dimensionality of a given data set while preserving the information of original data set as well as possible, play an important role in machine learning and data mining. Duan et al. proposed a quantum version of A-optimal projection algorithm (AOP) for dimensionality reduction [Phys. Rev. A 99, 032311 (2019)] and claimed that the algorithm has exponential speedups on the dimensionality of the original feature space n and the dimensionality of the reduced feature space k over the classical algorithm. In this paper, we correct the complexity of Duan et al.’s algorithm to O(κ4sǫ√sks polylogs(mnǫ )), where κ is the condition number of a matrix that related to the original data set, s is the number of iterations, m is the number of data points and ǫ is the desired precision of the output state. Since the complexity has an exponential dependence on s, the quantum algorithm can only be beneficial for high dimensional problems with a small number of iterations s. To_ get a further speedup, we proposed an improved quantum AOP algorithm with complexity O(sκ6ǫ√kpolylog(nmǫ )+ s2ǫκ4 polylog(κkǫ )). Our algorithm achieves a nearly exponential speedup if s is large and a polynomial speedup even if s is a small constant compared with Duan et al.’s algorithm. Also, our algorithm shows exponential speedups in n and m compared with the classical algorithm when both κ, k and 1/ǫ are O(polylog(nm)). Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum theory

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A Flight control System for Parafoils Based on Improved PID control Approach 36

A Flight Control System for Parafoils Based on Improved PID ...

引用

第36届中国控制会议

作者： Hao Sun Qinglin Sun Jin Tao Shuzhen Luo Zhengqiang Chen School of Computer and Control Engineering Nankai University

ISBN: (纸本)9781538629185

The PID control technique which is improved by linear extended state observer(LESO) is applied to the design of the flight control system for parafoils with Global Position System(GPS). Firstly, in this paper, the nonlinear dynamics model of the parafoil system is outlined. Then, method of guidance and the theory of LESO is presented in detail. Next, the control system using improved PID control technique is introduced integrally. The results of simulation and flight test are presented and analyzed at the end of the paper. The results of the improved controller show the great superiority to the traditional PID controller. In the flight test, the error of the trajectory tracking is less than twenty meters and the control strategy has great application value on the precision aerial delivery system.

关键词： Parafoil precision aerial delivery system PID linear extended state observer

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Verification code recognition based on active and deep learning

arXiv

引用

arXiv 2019年

作者： Xu, Dongliang Wang, Bailing Du, XiaoJiang Zhu, Xiaoyan Guan, Zhitao Yu, Xiaoyan Liu, Jingyu School of Computer Science and Technology Shandong University Weihai China School of Computer Science and Technology Harbin Institute of Technology Weihai China Department of Computer and Information Sciences Temple University PhiladelphiaPA United States Computer information center Xidian University Xi'an China School of Control and Computer Engineering North China Electric Power University Beijing China Dept. of Computer Science and Technology Capital Normal University Beijing China Computer information center Intermediate People's Court Weihai China

A verification code is an automated test method used to distinguish between humans and computers. Humans can easily identify verification codes, whereas machines cannot. With the development of convolutional neural networks, automatically recognizing a verification code is now possible for machines. However, the advantages of convolutional neural networks depend on the data used by the training classifier, particularly the size of the training set. Therefore, identifying a verification code using a convolutional neural network is difficult when training data are insufficient. This study proposes an active and deep learning strategy to obtain new training data on a special verification code set without manual intervention. A feature learning model for a scene with less training data is presented in this work, and the verification code is identified by the designed convolutional neural network. Experiments show that the method can considerably improve the recognition accuracy of a neural network when the amount of initial training data is small. Copyright © 2019, The Authors. All rights reserved.

关键词： Testing

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Correlation-based dynamics and systemic risk measures in the cryptocurrency market 16

Correlation-based dynamics and systemic risk measures in the...

引用

16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018

作者： Liang, Jiaqi Li, Linjing Zeng, Daniel Zhao, Yunwei State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Institute of Automation Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China CNCERT/CC Beijing China

ISBN: (纸本)9781538678480

Cryptocurrency is a rapid developing financial technology innovation which has attracted a large number of people around the world. The high-speed evolution, radical price fluctuations of cryptocurrency, and the inconsistent attitudes of monetary authorities in different countries have triggered panic and chain reactions towards the application and adoption of cryptocurrency and have caused public security related events. So far, a lot of researches and analyses have focused on just one or only a few number of cryptocurrencies, a comprehensive analysis of the whole cryptocurrency market and its systemic risk is still lacking. In this paper, we analyze the dynamics and systemic risk of the cryptocurrency market based on the public available price history. We first validated that the correlation matrix and asset tree are good tools to analyze the risk and stability of the cryptocurrency market. Furthermore, consistent with public perception, our quantitative analysis reveals that the cryptocurrency market is relatively fragile and unstable. Our work is the first to investigate the systemic risk of the whole cryptocurrency market and may shed some light on cryptocurrency related investment decision, regulation, and legislation. © 2018 IEEE.

关键词： Blockchain

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Attention-based multi-hop reasoning for knowledge graph 16

Attention-based multi-hop reasoning for knowledge graph

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16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018

作者： Wang, Zikang Li, Linjing Zeng, Daniel Dajun Chen, Yue State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Institute of Automation Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China CNCERT/CC Beijing China

ISBN: (纸本)9781538678480

Knowledge graph plays an important role in detection, prediction, early warning, and other security related applications. A fundamental task in applying knowledge graph is the so-called multi-hop reasoning, which focuses on inferring new relations between entities. In this paper, we introduce attention mechanism to the classic compositional method. After finding reasoning paths between entities, we aggregate these paths' embeddings into one according to their attentions, and infer the relation of entities based on the combined embedding. Two experiments on NELL-995 dataset, fact prediction and link prediction, validated that our method outperforms all baselines. © 2018 IEEE.

关键词： Forecasting

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Underwater Sensor Network Clock Synchronization Algorithm Based on Markov Chain Group Consistency

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Ruan Jian Xue Bao/Journal of Software 2019年 30卷 27-39页

作者： Wei, Lian-Suo Su, Yang Li, Hua Wu, Di School of Computer and Control Engineering Qiqihar University Qiqihar161006 China School of Computing Science and Technology Harbin Engineering University Harbin150001 China

Most of the existing UWSNs clock synchronization algorithms use nodes to exchange data frequently, but neglect the synchronization information received by neighbor nodes within the scope of node-based communication, so there are some problems such as high energy consumption and low synchronization efficiency in synchronization communication, which affect the accuracy of network clock synchronization. Therefore, based on the analysis of the influence of UWSNs multi-objective optimization network topology evolution process on clock synchronization, this paper uses the theory of group consistency and Markov chain to establish the synchronization cycle regulation mechanism and clock synchronization model without too much increase of the average transmission radius and communication energy consumption. Then, using linear regression fitting method, the inter-cluster synchronization and intra-cluster synchronization are established. Finally, the performance of UWSNs clock synchronization algorithm is verified by simulation. © Copyright 2019, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Synchronization

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Remote Sensing Image Classification Method Based on Preferential Adaptive Interval-Value Fuzzy C-Means

Remote Sensing Image Classification Method Based on Preferen...

引用

International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

作者： Guozheng Feng Jindong Xu Baode Fan Tianyu Zhao Meng Zhu Xiao Sun Jin Zhou Shiyuan Han School of Computer and Control Engineering Yantai University Yantai China

ISBN: (纸本)9781728105529

The heterogeneity of objects within the class and the ambiguity of objects between the classes in remote sensing images cause the uncertainty in ground objects classification. Fuzzy set theory could express the fuzziness effectively, while interval-value data model can reflect the uncertainty of the data. Therefore, combining the interval-value data model and fuzzy c-means algorithm, a preferential adaptive interval-value fuzzy c-means (PA-IVFCM) algorithm is proposed in this paper. The overall interval width of the category is adjusted by normalizing mean square error in the class, the interval modeling of the data is selected by using the preferential factor dynamically, thereby increasing the intra-class compactness and the boundary separability. The experimental results show that PA-IVFCM method can be effectively applied in the SPOT5 remote sensing data classification, and the overall classification accuracy and Kappa coefficients are greatly improved compared with the existing popular fuzzy classification methods.

关键词： Classification algorithms Remote sensing Heuristic algorithms Mathematical model Clustering algorithms Data models Uncertainty

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