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6th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2024

作者： Song, Ao Lei, Zhou Chen, Shengbo Shanghai University College of Computer Engineering and Science Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai China

ISBN: (纸本)9798350316520

With the rapid development of the Internet, the problem of information overload is becoming more and more serious, which makes it difficult for users to choose the content they are interested in from a large number of information. With the emergence of recommendation systems, the historical interaction information between users and information and items is used to provide users with topics of interest, which not only alleviates the problem of information overload, but also brings great satisfaction to users. However, training a model that can make accurate recommendations is not an easy task. In addition to an appropriate training strategy, it also requires a large amount of data support. Getting data, especially labeled data, takes a lot of time and money. Therefore, this paper proposes a new active learning algorithm. Firstly, the recommendation problem was transformed into a PU learning problem, and then the method was introduced in the positive sample learning process to achieve the purpose of increasing positive sample data, thereby reducing the cost of data labeling. Through experiments, the proposed method reduces the cost of data labeling in the recommendation task and further verifies the rationality of transforming the recommendation problem into a PU learning problem. © 2024 IEEE.

关键词： Recommender systems

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Estimating Mechanical Vibration Period Using Smartphones

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Journal of Donghua University(English Edition) 2021年第4期38卷 323-332页

作者： WANG Jiacheng CHANG Shan School of Computer Science and Technology Donghua UniversityShanghai 201620China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai 201112China

Driven by a wide range of real-world applications,significant efforts have recently been made to explore facile vibration *** vibration inspection systems are normally sensed via accelerometers,laser displacement sensors or velocimeters,and most of them are neither non-intrusive nor *** paper presents a novel solution based on acoustic waves of commercial mobile phones to inspect mechanical *** core observation is that the Doppler effect occurs when acoustic waves pass through a vibrating *** study leverages this opportunity to build a bridge between the Doppler frequency excursion and the vibrating frequency of *** solution of difference operation of the reassignment vector is used to make time-frequency domain images more ***,by processing time-frequency images,the system further accomplishes two reconstruction approaches to find out the energy concentration of acoustic signals respectively based on ridges and *** and real-life applications are employed to show the effectiveness and practicability of the proposed *** prototype system can inspect the vibration period with a relative error of 0.08%.Furthermore,this paper studies two practical cases in life to associate our measurement solution with the requirements of daily life.

关键词： vibration sensing Doppler effect density clustering ridge extraction

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SFPL: Improving CRS via Prompt Learning based Semantic Fusion Module 4

SFPL: Improving CRS via Prompt Learning based Semantic Fusio...

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4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

ISBN: (纸本)9798350363586

With the popularity of the Internet and the massive increase of content production, users are faced with massive information and content, and it is often difficult to accurately and efficiently find the content that meets their needs. This information overload motivates the emergence of recommendation systems that help users filter and recommend relevant content. Dialogue recommendation systems (CRS) aim to dynamically recommend high-quality items to users while eliciting user preferences by means of dialogue. CRS mainly consists of two parts, namely, the dialogue module and the recommendation module. An efficient CRS is to solve the problems existing in the two sub-tasks of dialogue and recommendation, namely, generating appropriate responses in dialogue and predicting user favorite items in recommendation. In addition, it is necessary to adopt a suitable method to integrate these two modules to ensure the accuracy of CRS recommendation. This paper proposes an efficient way of semantic fusion module to solve the integration problem of two modules, and proves the effectiveness of our method through experiments © 2024 IEEE.

关键词： Adversarial machine learning

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Agent-based online quality measurement approach in cloud computing environment

Agent-based online quality measurement approach in cloud com...

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2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010

作者： Liu, Zhenyu Liu, Tiejiang Lu, Tun Cai, Lizhi Yang, Genxing School of Computer Science Fudan University China Shanghai Key Laboratory Computer Software Evaluating and Testing China

ISBN: (纸本)9780769541914

This paper studies online quality measurement in cloud computing environment. The paper analyzes concentration measure evaluation method of the current software quality evaluation system. As is known to all, the existing evaluation technology uses concentrated evaluation before run-time. By testing and analyzing results, the quality is obtained. In this paper, by analyzing the features in cloud computing environment, we consider that service-oriented evaluation should be mainly based on runtime online measurement. The paper puts forward agent-based online measure infrastructure, which is evaluated by distributed assessment in service computing environment A quality model and corresponding online data collection strategy are described. In this approach, the previous quality evaluation, which is concentrated and simulating in a simulated environment, is substituted. Then, a novel measure method of quality data acquisition, which is based on distributed agent technology, is established. So, during online service operation, the obtained data can make measurement results to be accurate and credible. © 2010 IEEE.

关键词： Data acquisition

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An optimization approach for service deployment in service oriented clouds

An optimization approach for service deployment in service o...

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International Conference on computer Supported Cooperative Work in Design

作者： Liu, Tiejiang Lu, Tun Liu, Zhenyu School of Computer Science Fudan University Shanghai China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

ISBN: (纸本)9781424467631

In service oriented cloud, in order to meet the different users' service requirements, the cloud venders need to manage the service applications' deployment effectively first. During the deployment process, the deployment costs and the influence of service deployment to the cloud are very important issues to be paid attention to, which lacks in current research. In this paper, we design a novel optimization approach for service deployment to address above issues, which works in a service deployment framework. The approach can improve the deployment efficiency and reduce the deployment costs. Atom-services, the basic units of service application, are partitioned to different service families with its compatibility and installation policy. We present three algorithms to automatically standardize the installation expressions, simplify and optimize the installation expression series during the service deployment process respectively. An analysis about the service deployment result is given in the paper and the experiment data demonstrates the approach's efficiency. © 2010 IEEE.

关键词： cloud computing deployment optimization service deployment deployment Cloud Computing Experimental data

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Test coverage for collaborative workflow application based on Petri Net

Test coverage for collaborative workflow application based o...

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International Conference on computer Supported Cooperative Work in Design

作者： Liu, Zhenyu Liu, Tiejiang Cai, Lizhi Yang, Genxing School of Computer Science Fudan University Shanghai China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

ISBN: (纸本)9781424467631

Lots of collaborative works are developed by workflow at present. The modeling of workflow is mainly by Petri Net. This paper studies the test coverage of collaborative workflow system to improve the system quality. By analyzing many Petri-Net models, the paper puts forward generic advance Petri Net model. And other workflow Petri Net models can be compatible with the generic Petri Net. Then test coverage strategy is considered and test case is designed according to the strategy. This method not only can meet the requirement of test coverage, but also can assist test case design and further execution of test case. Finally, a typical example is introduced to illustrate effectiveness of this method in collaborative workflow application. © 2010 IEEE.

关键词： Petri nets

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An Influence Maximization Algorithm Based on Real-Time and De-superimposed Diffusibility 15th

An Influence Maximization Algorithm Based on Real-Time and D...

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15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019

作者： Ren, Yue Zhang, Xinyuan Xia, Liting Lin, Yongze Zhao, Yue Li, Weimin School of Computer Engineering and Technology Shanghai University Shanghai China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

ISBN: (纸本)9783030301453

Influence maximization is to find a small number of seed nodes in the network that maximize their influence on the network. Existing algorithms select a seed node with the greatest influence. This will inevitably have an influence on mutual coverage, which will have a more or less negative impact on the final results and reduce the performance of the algorithm. In this paper, Node Diffusibility is proposed, and it is updated in real time and eliminated the deviation caused by its overlay. On the basis of traditional calculation of node influence, more attention was paid to the influence of a node’s neighboring nodes rather than to the characteristics of the nodes themselves. The proposed algorithm was evaluated by experiments conducted on selected real data sets. Compared with the classical ranking-based algorithms, MaxDegree and PageRank, the proposed algorithm achieved better results in terms of efficiency and time complexity. © 2019, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： computers

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A location & time related web service distributed selection approach for composition

A location & time related web service distributed selection ...

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9th International Conference on Grid and Cloud Computing, GCC 2010

作者： Liu, Tiejiang Liu, Zhenyu Lu, Tun School of Computer Science Fudan University Shanghai China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

ISBN: (纸本)9780769543130

Web service composition is one of the most important research fields in service oriented cloud computing. QoS-based composition research helps the end-users get better quality performance. Yet, most research adopts single-point access orchestration. In this paper, we introduce the factors of location and time into QoS-based composition, and propose a location & time related web service distributed selection approach for composition. As shown in the example, the same web service can get different quality performance when invoked from different location and at different time. We present two algorithms to sequence the composition's execution path and generate the concrete composition with proper quality performance. A composition distributed invoking framework is also proposed. © 2010 IEEE.

关键词： Web services

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A novel web service selection based on dynamic quality evaluation

A novel web service selection based on dynamic quality evalu...

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2009 International Conference on Computational Intelligence and software Engineering, CiSE 2009

ISBN: (纸本)9781424445073

This paper proposes a novel method of Web service selection for the better quality based on environment of dynamic evaluating system. The evaluating system considered the end-user for the quality of service. This QoS evaluation framework which carries out a dynamic method of acquiring the quality data in the Web service composition based on the end-user feeling of web services. The procedure of processing the quality of service is extended quality of single service to multiple factor. Considering the end-user's perception, the distribution of dynamic evaluation can greatly improve the quality of Web service and its composition, which is not just adjusted according to end-user's requirements. A novel service selected algorithm with QoS is also presented in the paper, which chooses the different composition execute path to get optimized quality. Some experiments are illustrated to demonstrate effective. ©2009 IEEE.

关键词： Quality of service

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Integrating Extractive and Abstractive Models for Code Comment Generation 23

Integrating Extractive and Abstractive Models for Code Comme...

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23rd IEEE International Conference on software Quality, Reliability, and Security, QRS 2023

作者： Sun, Weisong Hu, Yuling Xu, Yingfei Chen, Yuchen Fang, Chunrong Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

ISBN: (纸本)9798350319583

Code comments play an essential role in aiding developers understand and maintain source code. Current code comment generation techniques can be classified into categories: extractive methods and abstractive methods. Extractive methods use text retrieval techniques to extract important code tokens to constitute comments. Such comments contain important factual details articulated explicitly in code tokens, but are poor in naturalness. Abstractive methods usually regard code comment generation as a neural machine translation task. By leveraging powerful deep learning-based language models, abstractive methods can generate comments that resemble human writing. However, compared with natural language, programming language code is more complex. Comments generated by abstractive methods often leave out important factual details. In this paper, we propose a novel method for code comment generation by integrating extractive and abstractive models. Our extractive model is built on the Latent Semantic Analysis (LSA) model, effectively extracting important factual details in code snippets. Meanwhile, our abstractive model is built on a deep learning-based encoder-decoder model, enabling it to generate concise and human-written-like comments. We evaluate the effectiveness of our method, called ICS, by conducting extensive experiments on the CodeSearchNet dataset involving six programming languages. The results demonstrate that ICS outperforms state-of-the-art techniques in three widely used metrics: BLEU, METEOR, and ROUGE-L. Moreover, the outcomes of the human evaluation indicate that the comments generated by ICS exhibit superior naturalness and informativeness, and closely align with the provided code snippets. © 2023 IEEE.

关键词： Deep learning

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