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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Cui, Wenpeng Zheng, Zhe Qiao, Lei Zhang, Weilong Wang, Liang Research Department of Smart Chip Global Energy Interconnection Research Institute Co. Ltd Beijing China State Grid Key Laboratory of Information and Network Security State Grid Laboratory of Electric Power Communication Network Technology Beijing China

ISBN: (纸本)9781538641316

With the rapid development of wireless sensor networks, the precision of time synchronization between nodes is becoming increasingly attractive. However, low cost, low power, low technology and other requirements restrict the use of synchronization algorithms in wireless sensor networks. TPSN time synchronization algorithm is a two-way synchronization algorithm, which is widely used in wireless sensor network. But due to the media access mechanism and the channel stability of the wireless sensor network, the standard TPSN algorithm can not meet the requirement of high precision of time synchronization. In this paper, the standard TPSN algorithm have been improved based on doze mechanism. Under the control of the central node, the nodes are doze and wake up sporadically to help with getting the transmission delay accurately. Thus, the time synchronization precision between each node is improved and the overall network power consumption is reduced. The experimental results show that the improved TPSN algorithm can effectively improve the accuracy of time synchronization. © 2018 IEEE.

关键词： Synchronization

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The role of positive and negative citations in scientific evaluation

arXiv

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arXiv 2020年

作者： Bai, Xiaomei Lee, Ivan Ning, Zhaolong Tolba, Amr Xia, Feng Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian116620 China Computing Center Anshan Normal University Anshan114007 China School of Information Technology and Mathematical Sciences University of South Australia Australia Riyadh Community College King Saud University Riyadh11437 Saudi Arabia Mathematics and Computer Science Department Faculty of Science Menoufia University Egypt

Quantifying the impact of scientific papers objectively is crucial for research output assessment, which subsequently affects institution and country rankings, research funding allocations, academic recruitment and national/international scientific priorities. While most of the assessment schemes based on publication citations may potentially be manipulated through negative citations, in this study, we explore Conflict of Interest (COI) relationships and discover negative citations and subsequently weaken the associated citation strength. PANDORA (Positive And Negative COI- Distinguished Objective Rank Algorithm) has been developed, which captures the positive and negative COI, together with the positive and negative suspected COI relationships. In order to alleviate the influence caused by negative COI relationship, collaboration times, collaboration time span, citation times and citation time span are employed to determine the citing strength;while for positive COI relationship, we regard it as normal citation relationship. Furthermore, we calculate the impact of scholarly papers by PageRank and HITS algorithms, based on a credit allocation algorithm which is utilized to assess the impact of institutions fairly and objectively. Experiments are conducted on the publication dataset from American Physical Society (APS) dataset, and the results demonstrate that our method significantly outperforms the current solutions in Recommendation Intensity of list R at top-K and Spearman’s rank correlation coefficient at top-K. Copyright © 2020, The Authors. All rights reserved.

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Exploiting Gabor Feature Extraction Method for Chinese Character Writing Quality Evaluation

引用

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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iSplit LBI: Individualized partial ranking with ties via split LBI

arXiv

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arXiv 2019年

作者： Xu, Qianqian Sun, Xinwei Yang, Zhiyong Cao, Xiaochun Huang, Qingming Yao, Yuan Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Microsoft Research Asia State Key Laboratory of Information Security Institute of Information Engineering CAS School of Cyber Security University of Chinese Academy of Sciences School of Computer Science and Tech. University of Chinese Academy of Sciences Key Laboratory of Big Data Mining and Knowledge Management CAS Peng Cheng Laboratory Department of Mathematics Hong Kong University of Science and Technology Hong Kong

Due to the inherent uncertainty of data, the problem of predicting partial ranking from pairwise comparison data with ties has attracted increasing interest in recent years. However, in real-world scenarios, different individuals often hold distinct preferences. It might be misleading to merely look at a global partial ranking while ignoring personal diversity. In this paper, instead of learning a global ranking which is agreed with the consensus, we pursue the tie-aware partial ranking from an individualized perspective. Particularly, we formulate a unified framework which not only can be used for individualized partial ranking prediction, but also be helpful for abnormal user selection. This is realized by a variable splitting-based algorithm called iSplitLBI. Specifically, our algorithm generates a sequence of estimations with a regularization path, where both the hyperparameters and model parameters are updated. At each step of the path, the parameters can be decomposed into three orthogonal parts, namely, abnormal signals, personalized signals and random noise. The abnormal signals can serve the purpose of abnormal user selection, while the abnormal signals and personalized signals together are mainly responsible for individual partial ranking prediction. Extensive experiments on simulated and real-world datasets demonstrate that our new approach significantly outperforms state-of-the-art alternatives. The code is now availiable at https://***/qianqianxu010/ NeurIPS2019-iSplitLBI. Copyright © 2019, The Authors. All rights reserved.

关键词： Forecasting

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Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning

Unsupervised Person Re-Identification by Camera-Aware Simila...

引用

International Conference on Computer Vision (ICCV)

作者： Ancong Wu Wei-Shi Zheng Jian-Huang Lai School of Electronics and Information Technology Sun Yat-sen University China School of Data and Computer Science Sun Yat-sen University China Peng Cheng Laboratory China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Guangdong Province Key Laboratory of Information Security China

ISBN: (数字)9781728148038

ISBN: (纸本)9781728148045

For matching pedestrians across disjoint camera views in surveillance, person re-identification (Re-ID) has made great progress in supervised learning. However, it is infeasible to label data in a number of new scenes when extending a Re-ID system. Thus, studying unsupervised learning for Re-ID is important for saving labelling cost. Yet, cross-camera scene variation is a key challenge for unsupervised Re-ID, such as illumination, background and viewpoint variations, which cause domain shift in the feature space and result in inconsistent pairwise similarity distributions that degrade matching performance. To alleviate the effect of cross-camera scene variation, we propose a Camera-Aware Similarity Consistency Loss to learn consistent pairwise similarity distributions for intra-camera matching and cross-camera matching. To avoid learning ineffective knowledge in consistency learning, we preserve the prior common knowledge of intra-camera matching in the pretrained model as reliable guiding information, which does not suffer from cross-camera scene variation as cross-camera matching. To learn similarity consistency more effectively, we further develop a coarse-to-fine consistency learning scheme to learn consistency globally and locally in two steps. Experiments show that our method outperformed the state-of-the-art unsupervised Re-ID methods.

关键词： Cameras Feature extraction Reliability Computational modeling Labeling Data models Lighting

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Numerical Study of Heating Structure in Cold-Wall MOCVD Reactor by Induction Heating

Numerical Study of Heating Structure in Cold-Wall MOCVD Reac...

引用

第二届材料科学应用与能源材料国际研讨会

作者： Lili Zhao Zhiming Li Jincheng Zhang Ligen Lu Yunqiu Guo Lansheng Feng Shandong Provincial Key Laboratory of Network based Intelligent Computing School of Information Science and EngineeringUniversity of Jinan State Key Discipline Laboratory of Wide Band-Gap Semiconductor Technology School of MicroelectronicsXidian University School of Mechano-Electronic Engineering Xidian University

On the traditional heating structure of MOCVD reactor,the temperature distribution of substrate is nonuniform,which goes against the film *** paper focuses on the numerical calculation of the heating structure,by using SiC and graphite as the materials of the new susceptor and coupling with *** adjusting the position and size of each of the ring body of graphite in the susceptor,the heat generation and heat transfer are changed,which leads to the approximately uniform heat conducted to the substrate,thus obtaining a more uniform temperature *** to the traditional structure,under the same heating condition,the heating efficiency is improved about 9.1%,the uniformity of temperature distribution is improved more than 80%.This is very favorable for the growth of thin films.

关键词： Numerical Study of Heating Structure in Cold-Wall MOCVD Reactor by Induction Heating MOCVD Reactor

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Whether android applications broadcast your private information: A naive Bayesian-based analysis approach 30

Whether android applications broadcast your private informat...

引用

30th International Conference on Software Engineering and Knowledge Engineering, SEKE 2018

作者： Lin, Li Ni, Jian Mao, Xinya Zhang, Jianbiao College of Computer Science Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing100124 China National Engineering Laboratory for Classified Information Security Protection Beijing100124 China

ISBN: (纸本)1891706446

With the rapid development of android smart terminals, android applications are exhibiting explosive growth. However, there remains a challenging issue facing android system, a malicious application may broadcast user's private information. In this paper, we propose a Naive Bayesian-based approach for analyzing private information leakage under the android broadcast mechanism, which calls BRbysA. Firstly, broadcast actions registered in *** are picked up statically by keyword matching technique. Secondly, with the Xposed framework, the broadcast actions specified at run time are discovered by hooking broadcast callback onReceive() function. Combining the above two ways, we can capture all real-Time broadcast actions in an android application. Thirdly, we adopt Naive Bayesian learning algorithm, all broadcast actions which involved in users' privacy leakage are analyzed and classified. Finally, we evaluate the proposed approach by using the dataset from Drebin and Google Play. © 2018 Universitat zu Koln. All rights reserved.

关键词： Android (operating system)

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Cryptanalysis of a Cryptosystem with Non- Commutative Platform Groups

引用

China Communications 2018年第2期15卷 67-73页

作者： Jinhui Liu Jianwei Jia Huanguo Zhang Rongwei Yu Yong Yu Wangqing Wu College of Computer Science Shaanxi Normal University Xi'an Shanxi China Computer School of Wuhan University Wuhan Hubei China Key Laboratory of Aerospace Information security and trusted computing Ministry of Education Wuhan University Wuhan Hubei China School of Computer Science and Technology Hebei University Baoding China

A cryptosystem with non-commutative platform groups based on conjugator search problem was recently introduced at Neural computing and Applications 2016. Its versatility was illustrated by building a public-key encryption scheme. We propose an algebraic key-recovery attack in the polynomial computational complexity. Furthermore, we peel off the encryption and decryption process and propose attack methods for solving the conjugator search problem over the given non-abelian group. Finally, we provide corresponding practical attack examples to illustrate the attack methods in our cryptanalysis, and provide some improved suggestions.

关键词： cryptanalysis post-quantum com-putational cryptography conjugator searchproblem computational complexity

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An Overview of Schema Extraction and Matching Techniques 2

An Overview of Schema Extraction and Matching Techniques

引用

2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Hassan, Muhammad Umair Shankat, Kamran Niu, Dongmie Mahreen, Sundas Ma, Yingjun Haider, Fatima Mubashir, Muhammad Zhao, Xiuyang University of Jinan Shandong Provincial Key Laboratory of Network Based Intelligent Computing Jinan250022 China Department of Information Technology University of the Punjab Jhelum Campus Jhelum Pakistan

ISBN: (纸本)9781538618035

W383 contains huge amount of data both in structured and unstructured form. One of the forms for the structured data is HTML tables for which metadata are not explicitly stored/available. As a result, data in such tables cannot be queried accurately and users cannot get exact results to their queries through search engines. Schema extraction establishes schema for data found in different form of web tables. Once the schema of web tables has been extracted, the tables can be created and populated against this schema which can be queried using SQL resulting much better results than traditional search engines. Schema Matching determines number of correspondences which identifies the similar elements from two different schemas. Columns and data values are compared one after the other to match schema. In this paper, different ways of extracting data from tables are mentioned and different tools used for schema extraction are named. Two techniques for Schema Matching are briefly explained. © 2018 IEEE.

关键词： Extraction

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Device-independent quantum private query protocol without the assumption of perfect detectors

arXiv

引用

arXiv 2019年

作者： Li, Dan-Dan Huang, Xiao-Hong Huang, Wei Gao, Fei Institute of Network Technology Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Cryptology P. O. Box 5159 Beijing100878 China Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu610041 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

The first device-independent quantum private query protocol (MRT17) which is proposed by Maitra et al. [Phys. Rev. A 95, 042344 (2017)] to enhance the security through the certification of the states and measurements. However, the MRT17 protocol works under an assumption of perfect detectors, which increases difficulty in the implementations. Therefore, it is crucial to investigate what would affect the security of this protocol if the detectors were imperfect. Meanwhile, Maitra et al. also pointed out that this problem remains open. In this paper, we analyze the security of MRT17 protocol when the detectors are imperfect and then find that this protocol is under attack in the aforementioned case. Furthermore, we propose device-independent QPQ protocol without the assumption of perfect detectors. Compared with MRT17 protocol, our protocol is more practical without relaxing the security in the device-independent framework. Copyright © 2019, The Authors. All rights reserved.

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