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11th IEEE International Workshop on Future Trends of Distributed Computing Systems

作者： Qian, Ju Xu, Baowen School of Computer Science and Engineering Southeast University Nanjing 210096 China Jiangsu Institution of Software Quality Nanjing 210096 China

ISBN: (纸本)9780769528106

Inter-thread dataflows are of great importance in analyzing concurrent programs. Suffering from the complexity of currency, it is still difficult to identify them from Java programs precisely and efficiently. A fundamental problem in inter-thread dataflow analysis is pointer analysis. Currently, pointer analyses can be classified into context-sensitive ones and context-insensitive ones. They are either too time consuming or too imprecise and hence not suitable for scalable and high precision inter-thread dataflow analysis. To change the situation, this paper proposes a thread-sensitive pointer analysis algorithm which only uses sequences of thread starts as calling contexts. As in inter-thread dataflow analysis, the major objective is analyzing interthread dataflows not intra-thread ones, the coarse-grained context-sensitivity can not only effectively speed up the analysis, but also preserve the analyze precision as much as possible.

关键词： pointer analysis concurrency inter-thread dataflow call graph

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Research on Bayesian Network Based User's Interest Model

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Wuhan University Journal of Natural Sciences 2007年第5期12卷 809-813页

作者： ZHANG Weifeng XU Baowen CUI Zifeng XU Lei Department of Computer Science and Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 JiangsuChina School of Computer Science and Engineering Southeast University Nanjing 210096 Jiangsu China Jiangsu Institute of Software Quality Nanjing 210096 Jiangsu China

It has very realistic significance for improving the quality of users＇ accessing information to filter and selectively retrieve the large number of information on the Internet. On the basis of analyzing the existing users＇ interest models and some basic questions of users＇ interest （representation, derivation and identification of users＇ interest）, a Bayesian network based users＇ interest model is given. In this model, the users＇ interest reduction algorithm based on Markov Blanket model is used to reduce the interest noise, and then users＇ interested and not interested documents are used to train the Bayesian network. Compared to the simple model, this model has the following advantages like small space requirements, simple reasoning method and high recognition rate. The experiment result shows this model can more appropriately reflect the user＇s interest, and has higher performance and good usability.

关键词： Bayesian network interest model feature selection

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Research on C5.0 algorithm improvement and the test in lightning disaster statistics

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第1期7卷 181-190页

作者： Hou, Shuonan Hou, Rongtao Shi, Xinming Wang, Jun Yuan, Chengshang College of Information Science and Engineering Northeastern University ShenYang 110819 Liaoning China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 Jiangsu China

After analysis the importance of continuous attributes in the C5.0 algorithm processing, and consider the shortcomings of discretization method of C5 algorithm, this paper proposes a new method based on Rough set theory- information entropy- discernible matrix discretization (RSIEDM). The method uses rough, information entropy and Discernible matrix that can be more reasonable and more accurately to continuously attribute discretization, and making created decision tree have better accuracy. In the application of optimization of lightning disaster statistics and evaluation result of lightning disaster, the algorithm which has obtained a better effect. © 2014 SERSC.

关键词： Decision trees

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An effective scheme for biometric cryptosystems 2

An effective scheme for biometric cryptosystems

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2nd IEEE International Conference on computer and Communications, ICCC 2016

作者： Zhou, Yu Zhao, Bo Han, Jin Jun, Zheng School of Computer Science and Software Engineering East China Normal University Shanghai China School of Software and Microelectronics Peking University Beijing China Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology China

ISBN: (纸本)9781467390262

Compared with traditional cryptography, biometric cryptosystems provide more convenient and safe protection of keys. In this paper, an effective scheme for biometric cryptosystems based on the intersections of hyper-plane and hashed discrete space is proposed. Only genuine feature vectors, which are located on the hyper-plane, find the correct solution. Several tricks are provided to ensure the security of proposed scheme. Experiments have shown that our method achieved approximate performance compared with one of the latest methods based on fuzzy vault. However, our method is less complex than fuzzy vault based methods. © 2016 IEEE.

关键词： Cryptography

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Attribute-Based Access Control Scheme with Efficient Revocation in Cloud Computing

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China Communications 2016年第7期13卷 92-99页

作者： Zhihua Xia Liangao Zhang Dandan Liu Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer and Software Nanjing University of Information Science & Technology Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology

Attribute-based encryption(ABE) supports the fine-grained sharing of encrypted *** some common designs,attributes are managed by an attribute authority that is supposed to be fully *** concept implies that the attribute authority can access all encrypted data,which is known as the key escrow *** addition,because all access privileges are defined over a single attribute universe and attributes are shared among multiple data users,the revocation of users is inefficient for the existing ABE *** this paper,we propose a novel scheme that solves the key escrow problem and supports efficient user ***,an access controller is introduced into the existing scheme,and then,secret keys are generated corporately by the attribute authority and access ***,an efficient user revocation mechanism is achieved using a version key that supports forward and backward *** analysis proves that our scheme is secure and efficient in user authorization and revocation.

关键词： access control ABE efficient revocation removing escrow cloud computing

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A Survey of Image Super Resolution Based on CNN 9th

A Survey of Image Super Resolution Based on CNN

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9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019

作者： Xu, Qianxiong Zheng, Yu School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology NanjingJiangsu210044 China

ISBN: (纸本)9783030485122

With the advent of the information age in contemporary society, images are everywhere, no matter in military use or in daily life. Therefore, as a medium for people to obtain information, images have become more and more important. With the fast development of deep convolution neural networks (DCNNs), Single-Image Super-Resolution (SISR) becomes one of the techniques that have made great breakthroughs in recent years. In this paper, we give a brief survey on the task of SISR. In general, we introduce the SR problem, some recent SR methods, public benchmark datasets and evaluation metrics. Finally, we conclude by denoting some points that could be further improved in the future. © 2020, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Surveys

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UniL: Point Cloud Novelty Detection through Multimodal Pre-training 24

UniL: Point Cloud Novelty Detection through Multimodal Pre-t...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Wang, Yuhan Song, Mofei College of Software Engineering Southeast University Jiangsu Nanjing China Ministry of Education Jiangsu Nanjing China School of Computer Science and Engineering Southeast University Jiangsu Nanjing China

ISBN: (纸本)9798400706868

3D novelty detection plays a crucial role in various real-world applications, especially in safety-critical fields such as autonomous driving and intelligent surveillance systems. However, existing 3D novelty detection methods are constrained by the scarcity of 3D data, which may impede the model's ability to learn adequate representations, thereby impacting detection accuracy. To address this challenge, we propose a Unified Learning Framework (UniL) for facilitating novelty detection. During the pretraining phase, UniL assists the point cloud encoder in learning information from other modalities, aligning visual, textual, and 3D features within the same feature space. Additionally, we introduce a novel Multimodal Supervised Contrastive Loss (MSC Loss) to improve the model's ability to cluster samples from the same category in feature space by leveraging label information during pretraining. Furthermore, we propose a straightforward yet powerful scoring method, Depth Map Error (DME), which assesses the discrepancy between projected depth maps before and after point cloud reconstruction during novelty detection. Extensive experiments conducted on 3DOS have demonstrated the effectiveness of our approach, significantly enhancing the performance of the unsupervised VAE method in 3D novelty detection. Codes are avaliable at https://***/EugeneWon9/UniL. © 2024 ACM.

关键词： Self-supervised learning

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A Testing Method for Web Services Composition Based on Data-Flow

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Wuhan University Journal of Natural Sciences 2008年第4期13卷 455-460页

作者： HOU Jun XU Baowen XU Lei WANG Di XU Junling School of Computer Science and Engineering SoutheastUniversity Nanjing 211189 Jiangsu China State Key Laboratory of Software Engineering WuhanUniversity Wuhan 430072 Hubei China

This paper proposes a method of data-flow testing for Web services composition. Firstly, to facilitate data flow analysis and constraints collecting, the existing model representation of business process execution language （BPEL） is modified in company with the analysis of data dependency and an exact representation of dead path elimination （DPE） is proposed, which over-comes the difficulties brought to dataflow analysis. Then defining and using information based on data flow rules is collected by parsing BPEL and Web services description language （WSDL） documents and the def-use annotated control flow graph is created. Based on this model, data-flow anomalies which indicate potential errors can be discovered by traversing the paths of graph, and all-du-paths used in dynamic data flow testing for Web services composition are automatically generated, then testers can design the test cases according to the collected constraints for each path selected.

关键词： Web services composition business process execution language （BPEL） Web services description language （WSDL） data flow all-du-path

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Analysis and Improvement of Steganography Protocol Based on Bell States in Noise Environment

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computers, Materials & Continua 2019年第5期59卷 607-624页

作者： Zhiguo Qu Shengyao Wu Wenjie Liu Xiaojun Wang Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China School of Computer&Software Nanjing University of Information Science and TechnologyNanjing210044China School of Electronic Engineering Dublin City UniversityDublinIreland

In the field of quantum communication,quantum steganography is an important branch of quantum information *** a realistic quantum communication system,quantum noises are unavoidable and will seriously impact the safety and reliability of the quantum steganographic ***,it is very important to analyze the influence of noise on the quantum steganography protocol and how to reduce the effect of *** paper takes the quantum steganography protocol proposed in 2010 as an example to analyze the effects of noises on information qubits and secret message qubits in the four primary quantum noise *** results show that when the noise factor of one quantum channel noise is known,the size of the noise factor of the other quantum channel can be adjusted accordingly,such as artificially applying noise,so that the influence of noises on the protocol is *** addition,this paper also proposes a method of improving the efficiency of the steganographic protocol in a noisy environment.

关键词： Quantum steganography quantum noise noise channel fidelity efficiency

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Vehicle Classification Based on Deep Convolutional Neural Networks Model for Traffic Surveillance Systems 15

Vehicle Classification Based on Deep Convolutional Neural Ne...

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15th International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2018

作者： Zakria Cai, Jingye Deng, Jianhua Khokhar, Muhammad Saddam Umar Aftab, Muhammad School of Information and Software Engineering University of Electronic Science and Technology of China China School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China

ISBN: (纸本)9781728115351

Due to growth of vehicles in urban cities, such problems are increases traffic control systems, security and crime investigation, intelligent parking and electronic toll collection. Moreover, Logistics access management system (LMS)is also a big problem in urban cities and all the issues are challenging and demands to develop effective and efficient approach for vehicle classification. Mostly, traditional vehicle classification uses hand craft feature extraction method like SIFT, Surf, HoG etc. However, these approaches are not efficient in results. This paper presents the efficient framework for vehicle classification by using Inception-v3 model for image vector features extraction that is most advance deep learning neural network, and this model is not used before for vehicle classification. After that, different classification algorithms are implemented on the feature vector. The classification conducted on three vehicle datasets and results demonstration is helpful for researchers to choose dataset with algorithm performance. © 2018 IEEE.

关键词： Vehicles

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