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Exploiting Gabor Feature Extraction Method for Chinese Character Writing Quality Evaluation

Journal of Physics: Conference Series 2020年第1期1575卷

作者： Zhixiao Wang Wenyao Yan Mingtao Guo Jiulong Zhang School of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 China Shaanxi Key Laboratory Xi'an of Network Computing and Security Technology China School of Data Science and Computer Xi'an innovation college of Yan'an University Xi'an 710100 China

The automatic evaluation of Chinese character writing quality has a wide application prospect. Most of the existing evaluation methods of Chinese character writing quality are based on radical segmentation and feature judgment, which require the high accuracy of Chinese character segmentation. However, there are many problems in the real handwriting, such as continuous writing, uneven strength of writing, personalized writing style and so on, which lead to the difficulty of segmentation in the ordinary handwriting. To solve the above problems, we propose an effective method based on image texture where the uniformity of writing lines and writing style is taken as an effective criterion. In our method, Gabor transform is used to extract the image features of writing samples, and finally the statistical learning method of support vector machine is used to effectively evaluate the writing quality. Experiments on multiple real datasets including CHAED show that our method is effective and accurate. The advantage of this method is that it does not need to segment fonts, and the cost of global feature extraction is small.

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Research on System Dynamics and Agent Hybrid Modeling Method for Multi-Energy Collaborative Control Under Ubiquitous Power Internet

Research on System Dynamics and Agent Hybrid Modeling Method...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Fuxing Zhang Yingjie Zhang Xiong Zhan Juan Luo Honglei Miao Yonghua Gui College of Computer Science and Electronic Engineering Hunan University Changsha China State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Beijing China Hardware R&D Department HNAC Technology Co. Ltd. Changsha China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

In order to promote the study of system dynamics (SD) and multi-agent theory and its wide application in the field of renewable energy, a hybrid modeling method of SD and Agent is proposed in this paper, which is suitable for the multi-energy collaborative management and control of regional cooling, heating and power under the background of the ubiquitous Internet of Things. Based on the detailed analysis of the lack of single modeling paradigm of system dynamics and the necessity and feasibility of mixed modeling of SD and Agent, the basic types of hybrid modeling of SD and Agent for regional multi-energy cooperative management and control are defined, and the application forms, simulation platforms, problems and ideas of hybrid modeling of SD and Agent in regional multi-energy cooperative management are discussed and analyzed, which can deepen the innovative application of SD and Agent hybrid modeling in multiple fields and assist relevant managers in scientific decision-making.

关键词： Mathematical model Analytical models Adaptation models System dynamics Biological system modeling Hybrid power systems Cooling

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Implementing security-Enhanced PHR System in the Cloud using FAME

Implementing Security-Enhanced PHR System in the Cloud using...

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IEEE Global Communications Conference

作者： Zuobin Ying Wenjie Jiang Ximeng Liu Shengmin Xu School of Computer Science & Technology Anhui University Hefei China School of Electrical & Electronic Engineering Nanyang Technological University Singapore College of Mathematics & Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Information Security of Network Systems Fuzhou University Fuzhou China School of Information Systems Singapore Management University Singapore

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Personal Health Record (PHR) plays an important role in realizing the exchange and interaction of medical information as well as in managing chronic diseases. In the recent decade, plenty of researches have been carried out to resolve the secure sharing issue of PHR in the cloud via access control schemes. Attribute-based Encryption (ABE) is a promising technique, which implements access control by introducing the access policy. When ABE is used to construct access control scheme in the cloud, hiding and updating access policy have always been two research hotspots. However, all of the existing solutions only consider one of these two issues separately. How to combine policy hiding and policy updating to achieve secure and efficient access control has always been avoided. Furthermore, the practical deployments of traditional ABE in the medical environment are limited by its small attribute universe. In this paper, we propose a policy hiding and updating ABE (PHU-ABE) based on the Fast Attribute-based Encryption (FAME) to tackle these challenges. We argue the security of PHU-ABE. The experimental results demonstrate that our scheme not only protects users' privacy but also realizes efficient policy updating.

关键词： Encryption Public key Access control Hospitals Diseases

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Is AI Robust Enough for Scientific Research?

arXiv

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arXiv 2024年

作者： Zhang, Jun-Jie Song, Jiahao Wang, Xiu-Cheng Li, Fu-Peng Liu, Zehan Chen, Jian-Nan Dang, Haoning Wang, Shiyao Zhang, Yiyan Xu, Jianhui Shi, Chunxiang Wang, Fei Pang, Long-Gang Cheng, Nan Zhang, Weiwei Zhang, Duo Meng, Deyu Northwest Institute of Nuclear Technology No. 28 Pingyu Road Shaanxi Xi’an710024 China School of Telecommunications Engineering Xidian University No. 2 South Taibai Road Shaanxi Xi’an710071 China State Key Laboratory of ISN No. 2 South Taibai Road Shaanxi Xi’an710071 China Institute of Particle Physics Central China Normal University No. 152 Luoyu Road Hubei Wuhan30079 China School of Computer Science and Technology Xi’an Jiaotong University No. 28 Xianning West Road Shaanxi Xi’an710049 China Ministry of Education Key Lab of Intelligent Networks and Network Security Xi’an Jiaotong University No. 28 Xianning West Road Shaanxi Xi’an710049 China Guangzhou Institute of Geography Academy of Sciences No. 100 Xianlie Road Guangdong Guangzhou510070 China National Meteorological Information Center Beijing100044 China MDX Research Center for Element Strategy Institute of Integrated Research Institute of Science Tokyo Midori-ku Yokohama226-8503 Japan School of Physics and Information Technology Shaanxi Normal University No. 620 West Chang’an Avenue Shaanxi Xi’an710119 China School of Aeronautics Northwestern Polytechnical University No. 127 West Youyi Road Shaanxi Xi’an710072 China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China School of Mathematics and Statistics Xi’an Jiaotong University No. 28 Xianning West Road Shaanxi Xi’an710049 China

We uncover a phenomenon largely overlooked by the scientific community utilizing AI: neural networks exhibit high susceptibility to minute perturbations, resulting in significant deviations in their outputs. Through an analysis of five diverse application areas—weather forecasting, chemical energy and force calculations, fluid dynamics, quantum chromodynamics, and wireless communication—we demonstrate that this vulnerability is a broad and general characteristic of AI systems. This revelation exposes a hidden risk in relying on neural networks for essential scientific computations, calling further studies on their reliability and security. © 2024, CC0.

关键词： Weather forecasting

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The m-least significant bits operation for quantum random number generation

arXiv

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arXiv 2019年

作者： Chen, Ziyang Li, Zhengyu Xu, Bingjie Zhang, Yichen Guo, Hong State Key Laboratory of Advanced Optical Communication System and Network School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

Quantum random number generators (QRNGs) can provide genuine randomness based on the inherent unpredictable nature of quantum physics. The extracted randomness relies not only on the physical parts of the QRNG, such as the entropy source and the measurement device, but also on appropriate postprocessing method. The m-least significant bits (m-LSBs) operation is one of the simplest randomness extraction method, which has the advantage of easy implementations. Nonetheless, a detailed analysis of the m-LSBs operation in QRNGs is still missing. In this work we give a physical explanation of the m-LSBs operation by introducing a new positive operator-valued measurement operator, which is obtained by regrouping the results of coarse-grained measurements. Both trusted and untrusted source scenarios are discussed. The results show that the m-LSBs operation can extract randomness effectively under the condition of the trusted source, while it is not effective under the untrusted source scenario. Copyright © 2019, The Authors. All rights reserved.

关键词： Random processes

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Time-varying massive MIMO channel estimation: Capturing, reconstruction and restoration

arXiv

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arXiv 2019年

作者： Li, Muye Zhang, Shun Zhao, Nan Zhang, Weile Wang, Xianbin State Key Laboratory of Integrated Services Networks Xidian University Xian710071 China School of Information and Communication Engineering Dalian University of Technology Dalian116024 China MOE Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an710049 China Department of Electrical and Computer Engineering Western University LondonON Canada

On the time-varying channel estimation, the traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise vector, which is dependent on DL channel covariance matrix (CCM). However, the acquisition of the CCM leads to unacceptable overhead in massive MIMO systems. To tackle this problem, in this paper, we propose a novel scheme for the DL channel tracking. First, with the help of virtual channel representation (VCR), we build a dynamic uplink (UL) massive MIMO channel model with the consideration of off-grid refinement. Then, a coordinate-wise maximization based expectation maximization (EM) algorithm is adopted for capturing the model parameters, including the spatial signatures, the time-correlation factors, the off-grid bias, the channel power, and the noise power. Thanks to the angle reciprocity, the spatial signatures, timecorrelation factors and off-grid bias of the DL channel model can be reconstructed with the knowledge of UL ones. However, the other two kinds of model parameters are closely related with the carrier frequency, which cannot be perfectly inferred from the UL ones. Instead of relearning the DL model parameters with dedicated training, we resort to the optimal Bayesian Kalman filter (OBKF) method to accurately track the DL channel with the partially prior knowledge. At the same time, the model parameters will be gradually restored. Specially, the factor-graph and the Metropolis Hastings MCMC are utilized within the OBKF framework. Finally, numerical results are provided to demonstrate the efficiency of our proposed scheme. Copyright © 2019, The Authors. All rights reserved.

关键词： MIMO systems

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Code Authority Control Method Based on File security Level and ACL in WebIDE

Code Authority Control Method Based on File Security Level a...

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IEEE International Conference of Intelligent Robotic and Control engineering (IRCE)

作者： Junhuai Li Wenchao Ji Jubo Tian Huaijun Wang Kan Wang School of Computer Science and Engineering Xi’an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi’an China

The following topics are dealt with: mobile robots; learning (artificial intelligence); control system synthesis; permanent magnet motors; motion control; optimisation; power engineering computing; machine control; sy... 详细信息

ISBN: (纸本)9781538674178

关键词： Programming Authorization Performance evaluation Privacy Task analysis

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A Universal Designated Multi-Verifier Transitive Signature Scheme 13th

A Universal Designated Multi-Verifier Transitive Signature S...

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13th International Conference on Information securityand Cryptology, Inscrypt 2017

作者： Zhu, Fei Zhang, Yuexin Lin, Chao Wu, Wei Meng, Ru Fujian Provincial Key Laboratory of Network Security and Cryptology School of Mathematics and Informatics Fujian Normal University Fuzhou China School of Software and Electrical Engineering Swinburne University of Technology HawthornVIC3122 Australia School of Computer Science Shaanxi Normal University Xi’an China

ISBN: (纸本)9783319751597

A Universal Designated Verifier Transitive Signature (UDVTS) scheme is designed for the graph-based big data system. Specifically, it allows a transitive signature holder to convince the designated verifier with a transitive signature. Nevertheless, existing UDVTS schemes cannot be directly employed in the scenarios when multi-verifier are involved. Thus, in this paper, we extend the notion to the Universal Designated Multi-Verifier Transitive Signature (UDMVTS) scheme. Namely, our new scheme allows a transitive signature holder to designate the signature to multi-verifier. Furthermore, for the proposed scheme, we formalize its security notions and prove its security in the random oracle model. We also analyse the performance of our scheme to demonstrate its efficiency. © Springer International Publishing AG, part of Springer Nature 2018.

关键词： Graphic methods

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A static technique for detecting input validation vulnerabilities in Android apps

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Science China(Information Sciences) 2017年第5期60卷 210-225页

作者： Zhejun FANG Qixu LIU Yuqing ZHANG Kai WANG Zhiqiang WANG Qianru WU National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences National Computer Network Emergency Response Technical Team/Coordination Center of China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences Beijing Electronic Science and Technology Institute

Input validation vulnerabilities are common in Android apps, especially in inter-component communications. Malicious attacks can exploit this kind of vulnerability to bypass Android security mechanism and compromise the integrity, confidentiality and availability of Android devices. However, so far there is not a sound approach at the source code level for app developers aiming to detect input validation vulnerabilities in Android apps. In this paper, we propose a novel approach for detecting input validation flaws in Android apps and we implement a prototype named Easy IVD, which provides practical static analysis of Java source *** IVD leverages backward program slicing to extract transaction and constraint slices from Java source *** Easy IVD validates these slices with predefined security rules to detect vulnerabilities in a known *** detect vulnerabilities in an unknown pattern, Easy IVD extracts implicit security specifications as frequent patterns from the duplicated slices and verifies them. Then Easy IVD semi-automatically confirms the suspicious rule violations and reports the confirmed ones as vulnerabilities. We evaluate Easy IVD on four versions of original Android apps spanning from version 2.2 to 5.0. It detects 58 vulnerabilities including confused deputy attacks and denial of service attacks. Our results prove that Easy IVD can provide a practical defensive solution for app developers.

关键词： input validation static analysis program slicing vulnerability detection Android security

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Ciphertext-Policy Attribute Based Encryption Supporting Any Monotone Access Structures Without Escrow

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Chinese Journal of Electronics 2017年第3期26卷 640-646页

作者： ZHAO Qianqian ZHANG Yuqing ZHANG Guanghua WANG He State Key Laboratory of Integrated Services Networks Xidian University National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences Beijing Key Laboratory of IOT Information Security Technology Institute of Information Engineering CAS

Ciphertext policy attribute-based encryption(CP-ABE)is becoming a new primitive for finegrained access *** neither produces multiple encrypted copies of the same data nor suffers from the severe burden of key distribution and *** escrow problem that the central authority could decrypt any ciphertexts addressed to all the specific users is still a challenge for CP-ABE *** new CP-ABE scheme without escrow is proposed,and furthermore the proposed scheme achieves fully security in the standard *** performance and security analysis results indicate that the proposed CP-ABE scheme is extremely appropriate for cloud storage system.

关键词： CP-ABE The escrow problem Fully security In the standard model

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