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Data expression method in enterprise application using J2EE architecture

WSEAS Transactions on Communications 2008年第6期7卷 541-550页

作者： Zhang, Xiaoshuan Chen, Peijun Zhao, Ming College of Information and Electrical Engineering China Agricultural University Qinghua Donglu 17 Haidian Beijing 100083 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Shixinjie 1 Suzhou Jiangsu 215006 China

With use of the Internet, web browser-enabled software applications are developed rapidly. Nowadays enterprises are paying more attention than ever on developing their business on the Web. The demand for rapidly delivering high quality web enabled software applications to the end users is high. The enterprise software developers are making efforts to develop the enterprise software applications that not only satisfy the business needs but also achieve the high quality within a short development process. However, the enterprise software development is normally complicated. For example, factors like the different enterprise environment, the critical business demand, the lack of knowledge and experience from the developers and so on can make the enterprise software development become rather hard work. Under such circumstances, something is needed to simplify the enterprise software development and also enable the sharing of the knowledge and experiences among the different developers. J2EE architecture is becoming the mainstream framework to develop the more complex enterprise application. The important problem arises, which is how to manage to each layer in J2EE and control the interior business data and the customer data, given that J2EE architecture has many complicated layers. There is respective data presentation in relevant layer of J2EE, with strictly rules to access and transform data objects between these layers. This paper adopts the case study method to discuss the data expression of J2EE and the detailed data expressing methods in corresponding layer with some instances. According to the Facade pattern of J2EE, it should control the access to data persistence layer seriously to protect important enterprise data and avoid showing database pattern to client directly. The data persistence layer hides behind the business logic layer and provide business interfaces via the business logic layer to communicate with the presentation layer to package the data persis

关键词： Enterprise software

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Data-consistent Unsupervised Diffusion Model for Metal Artifact Reduction

Data-consistent Unsupervised Diffusion Model for Metal Artif...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Tong, Zhan Wu, Zhan Yang, Yang Mao, Weilong Wang, Shijie Li, Yinsheng Chen, Yang Southeast University Laboratory of Image Science and Technology Nanjing210096 China Southeast University Ministry of Education Key Laboratory of Computer Network and Information Integration Nanjing210096 China Chinese Academy of Sciences Research Center for Medical Artificial Intelligence Shenzhen Institutes of Advanced Technology Shenzhen518055 China School of Computer Science and Engineering Key Lab. of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing The Laboratory of Image Science and Technology Nanjing210096 China

ISBN: (纸本)9798350337488

Computed Tomography (CT) is an imaging technique widely used in clinical diagnosis. However, high-attenuation metallic implants result in the obstruction of low-energy Xrays and further lead to metal artifacts in the reconstructed CT images. Deep supervised model-based metal artifact reduction(MAR) approaches are limited in clinical applications due to the difficulty in obtaining paired artifact-affected and artifactfree data. Furthermore, these model-based methods lack the consideration of data consistency in the sinogram-domain to perform exact metal trace inpainting. To address these challenges, we propose a Data-consistent unsupErVised diffusiOn model for meTal artifact rEDuction, called DEVOTED-Net. First, DEVOTED-Net leverages prior knowledge to guide the conditional diffusion model for fine-grained metal trace inpainting. Second, an unsupervised MAR framework is designed in the reverse process for the unknown metal traces restoration in the sinogram domain. Third, to further enhance the sinogram-domain data consistency, physics-based consistency constraint loss including conjugateray consistency loss and accumulation-ray consistency loss is designed. Extensive experiments are carried out to verify the performance of our algorithm on the publicly available dataset and clinical experimental dataset. This efficient, accurate, and reliable MAR approach holds great potential in clinics. © 2023 IEEE.

关键词： computed tomography deep unsupervised learning denoising diffusion probabilistic model Metal artifact reduction physics-based consistency constraint

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A Packet Loss Discrimination Algorithm in Wireless IP Networks

A Packet Loss Discrimination Algorithm in Wireless IP Networ...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Hai-tao Zhao Yu-ning Dong Yang Li College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China

In this paper, we propose an algorithm WMTA (wireless multimedia transmission algorithm) for multimedia transmission control over wireless-wired IP networks. The relationship between packet length and packet loss rate over the Markov wireless error model is investigated. Based on this character, the algorithm can detect the nature of packet losses by sending large and small packets alternately, and control the sending rate of nodes. Furthermore, by use of an updating factor K, the algorithm can adapt to the changes of network states quickly. Extensive computer simulations demonstrate that the proposed scheme is effective in satisfying the end to end quality of service and reducing the congestion loss rate in various network topologies.

关键词： IP networks Wireless networks Electronic mail Streaming media TCPIP Quality of service Propagation losses History Performance loss Educational institutions

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The application of flash into M-learning in 3G initial stage

The application of flash into M-learning in 3G initial stage

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International Symposium on Knowledge Acquisition and Modeling, KAM

作者： Yue-ming Tang Quan Liu Ling-ling Wang Department of Educational Technology Henan Normal University Xinxiang Henan China Institute of Computer Science and Technology Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou Jiangsu China

With the development of the 3G technology, M-learning enters a period of rapid development. But meanwhile 3G also restrains the development of M-learning due to several drawbacks in its early days. According to the application analysis, it comes out Flash has its unique features: small capacity, easy to develop high-quality and etc, which can make up for 3G initial stage's disadvantages. Through case design, this paper proves that Flash can be a new effective approach and way for M-learning in the 3G network. In the end, from the aspects of technical and artistic, this paper makes a further research on how to improve the flash animation to serve the M-learning better.

关键词： Multimedia communication Education Animation

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Intra-Guided Dual-Energy Material Decomposition Method for Dual-Source CBCT Systems 46

Intra-Guided Dual-Energy Material Decomposition Method for D...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Zhong, Xinyun Lyu, Tianling Wu, Zhan Gao, Wei Xi, Yan Zhao, Wei Zhu, Wentao Chen, Yang Zhejiang Lab Hangzhou China First-Imaging Tech. Shanghai China Beihang University Beijing China Southeast University School of Computer Science and Engineering Laboratory of Image Science and Technology Nanjing China Southeast University Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Nanjing China

ISBN: (纸本)9798350371499

Dual-energy CBCT imaging plays a crucial role in advanced imaging applications due to its ability to quantify material components. Although there are multiple established systems for dual-energy imaging, they often come with high deployment costs. This study investigates the feasibility of dual-energy material decomposition on a less expensive dual-source CBCT system. Due to the specific geometry of dual-source CBCT, cone-beam (CB) artifacts seriously degrade the material decomposition quality when the direct inversion method is adopted. In this paper, a novel dual-source intra-guided material decomposition framework is proposed to suppress CB artifacts in the material maps. Firstly, a dual-source two-pass algorithm is developed for artifact pre-correction during image reconstruction. Then, the structure of small cone-angle regions from one X-ray source is utilized to guide cone beam artifact removal in large cone-angle regions from another source. Finally, direct matrix inverse material decomposition is applied to the filtered image. Extensive experiments have been conducted on the authentic human phantom and demonstrate that the proposed framework achieves excellent performance in cone beam artifact reduction compared to other methods, and significantly enhances the quality of the material maps. © 2024 IEEE.

关键词： Image reconstruction

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The system design of a node of P2P networks for intrusion detection

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Journal of Networks 2013年第8期8卷 1920-1927页

作者： Ding, Lei Yu, Fei Yang, Zhenghua Yue, Guangxue School of Information Science and Engineering Jishou University Jishou 416000 China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow 215006 China School of Mathematic and Computer Jiaxin University Jiaxin 314001 China

To improve the measuring accuracy of intrusion detection, a system design of a node for intrusion detection is proposed in this paper. First, the technology that applies the traditional intrusion detection method, such as anomaly detection and misuse detection, into P2P networks is presented. Next, to build the trust relationship among the nodes, and realize the cooperation mechanism of data detection, collection and response among the nodes of P2P networks, the corresponding solving plans, such as topological structure, trust model, information share and information fusion, are proposed in this paper. Then the concept of network telescope is presented to broaden the field of vision of malicious attacks and abnormal network packets in the propagation path. Finally, a system design of a node for intrusion detection using the honeypot technology is proposed in this paper. © 2013 ACADEMY PUBLISHER.

关键词： Intrusion detection

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Learning convolutional neural network to maximize Pos@Top performance measure 25

Learning convolutional neural network to maximize Pos@Top pe...

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25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017

作者： Geng, Yanyan Liang, Ru-Ze Li, Weizhi Wang, Jingbin Liang, Gaoyuan Xu, Chenhao Wang, Jing-Yan Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia Suning Commerce RandD Center USA Inc. Palo AltoCA94304 United States Information Technology Service Center Intermediate People's Court of Linyi City Linyi China Jiangsu University of Technology Jiangsu213001 China New York University Abu Dhabi Abu Dhabi United Arab Emirates

ISBN: (纸本)9782875870391

In the machine learning problems, the performance measure is used to evaluate the machine learning models. Recently, the number positive data points ranked at the top positions (Pos@Top) has been a popular performance measure in the machine learning community. In this paper, we propose to learn a convolutional neural network (CNN) model to maximize the Pos@Top performance measure. The CNN model is used to represent the multi-instance data point, and a classifier function is used to predict the label from the its CNN representation. We propose to minimize the loss function of Pos@Top over a training set to learn the filters of CNN and the classifier parameter. The classifier parameter vector is solved by the Lagrange multiplier method, and the filters are updated by the gradient descent method alternately in an iterative algorithm. Experiments over benchmark data sets show that the proposed method outperforms the state-of-the-art Pos@Top maximization methods. © ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. All rights reserved.

关键词： Convolution

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A survey on video-based vehicle behavior analysis algorithms

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Journal of Multimedia 2012年第3期7卷 223-230页

作者： Wu, Jian Cui, Zhi-Ming Chen, Jian-Ming Zhang, Guang-Ming The Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Jiangsu Yihe Traffic Engineering Co. Ltd Suzhou 215002 China

Analysis of the Vehicle Behavior is mainly to analyze and identify the vehicles' motion pattern, and describe it by the use of natural language. It is a considerable challenge to analyze and describe the vehicles' behavior in a complex scene. This paper first hackles the development history of the intelligent transportation system and analysis of vehicles' behavior, and then conducts an indepth analysis of current situation of vehicle behavior analysis from the video processing, video analysis and video understanding, summarizes the achieved results and the key technical problems, and prospects the future development of vehicle behavior analysis. © 2012 ACADEMY PUBLISHER.

关键词： Video signal processing

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A Privacy Policy of P3P Based on Relational Database

A Privacy Policy of P3P Based on Relational Database

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International Multi-Symposiums on computer and Computational Sciences (IMSCCS)

作者： Bin Jiang Da-fung Zhang Chao Yang Guangxue Yue Fei Yu Software School Hunan University Changsha Hunan China College of Computer and Communication Hunan University Changsha Hunan China Provincial Key Laboratory of Computer Information Processing Technology Jiangsu Jiangsu Province China

P3P is an industry standard method that enables users to gain powerful control over their processing of personal information on Web sites being visited. Traditional methods of database access control places great dependence on the use application of statically defined views. In this paper, we propose the procedure by which current RDBMS can be transformed into their privacy-preserving equivalents. In addition, architectural for implementing P3P based on RDBMS is dissected and a server-centric implementation that reuses database querying technology is suggested

关键词： Data privacy Relational databases Industrial control Automatic control Guidelines Legislation Chaotic communication Educational institutions laboratories information processing

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An Algorithm for 3D Image Segmentation

An Algorithm for 3D Image Segmentation

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International Conference on Image and Graphics (ICIG)

作者： Ding Zhi Dong Yu-ning College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Jiangsu Provincial Key Lab of Computer Information Processing Technology Suzhou University Suzhou China

We propose a new 3D image segmentation method based on prediction, block-matching and partial 3D constraint in this paper. The algorithm only needs to set a few key points in the first image. We use intensity information and block-matching to optimize the initial condition, and consider the 3D object's characteristics at the same time. By using the partial 3D constraints we can get the result of 2D and 3D smoothness. Experimental results validate its usefulness in 3D image segmentation.

关键词： Image segmentation Active contours Image motion analysis Shape Educational technology information processing Prediction methods Image converters Image sequences computer graphics

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