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33rd International Conference on software Engineering and Knowledge Engineering, SEKE 2021

作者： Yi, Minyang Fan, Guisheng Yu, Huiqun Yang, Xingguang Department of Computer Science and Engineering East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai201112 China Shanghai Engineering Research Center of Smart Energy Shanghai China

ISBN: (纸本)1891706527

Just-in-time software defect prediction (JIT-SDP) is an active research topic in the field of software engineering, aiming at identifying defect-inducing code changes. Most of the current JIT-SDP work focused on model construction. It is often ignored that the performance of classifiers often depends on high quality data. In this paper, we first investigate the impact of the class overlap problem on the performance of the classifiers in JIT-SDP, and propose a new effective preprocessing method (IKMCCA-TL) combining improved K-Means clustering cleaning approach and Tomek-link method. In order to objectively estimate the impact of class overlap on the classifiers in JIT-SDP, we conduct a large-scale empirical study on the data sets of six open source projects and compare the performance of LR, RF and KNN classifiers by using IKMCCA or KMCCA or NCL and without cleaning data. Experimental results show that after removing overlapping instances, the performance of the classifiers is significantly improved in terms of balance, recall and AUC and our proposed method achieves the best performance. © 2021 Knowledge Systems Institute Graduate School. All rights reserved.

关键词： K-means clustering

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The study of film tension control system based on RBF neural network and PID

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International English Education Research 2014年第8期 82-85页

作者： Jia Chunying Ding Zhigang Chen Yuchen College of Electronic and Electric Engineering Shanghai University of Engineering Science Shanghai China Shanghai Computer Software Technology Development Center Shanghai China

In the BOPP （Biaxially Oriented Polypropylene） production line, the tension size and smooth film received change volume has a decisive effect on the rolling quality, casting machine is a complicated electromechanical control system, tension control of casting machine are the main factors that influence the production quality. Analyzed the reason and the tension control mathematical model generation casting machine tension in the BOPP production line, for the constant tension control of casting machine, put forward a kind of improved PID control method based on RBF neural network. By the method of Jacobian information identification of RBF neural network, combined with the incremental PID algorithm to realize the self-tuning tension control parameters, control simulation and implementation of the model using Matlab software programming. The simulation results show that, the improved algorithm has better control effect than the general PID.

关键词： Control PID algorithm Jacobian information identification RBF neural network Matlab

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Evaluating accuracy and performance of GPU-accelerated random walk computation on heterogeneous networks

Evaluating accuracy and performance of GPU-accelerated rando...

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ACIS International Conference on software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Jiayu Gong Lizhi Cai Yuxin Shen Laboratory of Computer Software Shanghai Development Center of Computer Software Technology Shanghai China Cyber Security Department of Shanghai Public Security Bureau Shanghai China

Random walk is an effective network-based method for information mining. However, the computational complexity of random walk limits its application on large scale datasets. This study evaluating accuracy and performance of graphics processing units (GPUs) in accelerating random walk computation on heterogeneous networks. We first introduce a general heterogeneous network to describe user-item relevance model. We apply GPU-accelerated random walk method to this network and investigate the performance of the method. We demonstrate our method via large-scale experiments across MovieLens datasets and obtain a more than 12× speedup. The results shows the effectiveness and promise of the approach.

关键词： Heterogeneous networks Graphics processing units Motion pictures Sparse matrices Matrix converters Acceleration

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Workflow-oriented grid service composition and scheduling

Workflow-oriented grid service composition and scheduling

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International Conference on Information technology: Coding and Computing (ITCC)

作者： Shaohua Zhang Yuwei Zong Zhigang Ding Jiamao Liu Shanghai Development Center Computer Software Technology Shanghai China Department of Computing Technology Fudan University Shanghai China

ISBN: (纸本)0769523153

The grid and Web service are converging as the WSRF is proposed. The grid not only provides the computing and resources sharing pools, but also supports the electronic business and enterprise applications integration with the composition of grid service. The paper presents a novel semantic composition method and adaptive scheduling algorithm based on grid workflow, which can benefit from the workflow architecture in the composition, visualization, verification, scheduling, execution and monitoring. The method can address semantic issues and automate the composition of grid service, and the algorithm can improve scheduling efficiency when the composite grid service is executed in the grid environment. According to the simulation experiment on the prototype implemented on the GT3, the composition and scheduling have the advantage of efficiency and effectiveness.

关键词： Web services Grid computing Scheduling algorithm Processor scheduling Adaptive scheduling computer architecture Visualization Monitoring Simple object access protocol XML

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A Service-Oriented Architecture of Cyber-Physical System and Study on Two Key Issues

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Journal of Donghua University(English Edition) 2012年第4期29卷 299-304页

作者：王鹏向阳张骐 College of Electronics and Information Engineering Tongji University Shanghai Development Center of Computer Software Technology Shenhua Hollysys Information Technology Co. Ltd.

As the basis of designing and implementing a cyber-physical system (CPS), architecture research is very important but still at preliminary stage. Since CPS includes physical components, time and space constraints seriously challenge architecture study. In this paper, a service-oriented architecture of CPS was presented. Further, a two-way time synchronization algorithm for CPS service composition was put forward. And a formal method, for judging if actual CPS service meets space constraints, was suggested, which was based on space-π-calculus proposed. Finally, a case study was performed and CPS business process designed by the model and the proposed methods could run well. The application of research conclusion implies that it has rationality and feasibility.

关键词： cyber-physical system (CPS) service-oriented architecture two-way time synchronization space-π-calculus

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Evaluation of Hallucination and Robustness for Large Language Models

Evaluation of Hallucination and Robustness for Large Languag...

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IEEE International Conference on software Quality, Reliability and Security Companion (QRS-C)

作者： Rui Hu Junhao Zhong Minjie Ding Zeyu Ma Mingang Chen Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Development Center of Computer Software Technology Shanghai China Shanghai AI Industry Association Shanghai China

As large language models (LLMs) rapidly advance, rigorous testing and evaluation of these models grows increasingly crucial. To address this need, we have developed three types of questions: Chinese contextual, English contextual, and language context-independent. Testing in both Chinese and English probes the LLMs' hallucination tendencies. We investigate the impact of language on hallucinations from two perspectives: the type of language used in the input prompt and the cultural context underlying the prompt's content. Additionally, 52 multi-domain single-choice questions from C-EVAL are presented in original and randomized order to assess robustness to perturbations. Among the five LLMs, the tests demonstrate GPT -4 has the strongest anti-hallucination and robustness capabilities, answering with greater accuracy, consistency, and reliability. ChatGLM ranks second and outperforms GPT -4 on Chinese context-dependent questions. Emergent testing phenomena are analyzed from the user's perspective. Hallucinated responses are categorized and potential causal factors leading to hallucination and fragility are examined. Based on these findings, viable avenues for improvement are proposed.

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Vehicle detection segmentation based on adaboost and grabcut

Vehicle detection segmentation based on adaboost and grabcut

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Gao, Yan Chen, Mingang Ma, Lizhuang Institute of Software and Engineering East China Normal University Shanghai China Institute of Computer Science and Technology Shanghai Jiao Tong University Shanghai China Public Service for Multimedia Industry Shanghai Science and Technology Information Center Shanghai China

ISBN: (纸本)9781424467860

Segmentation of moving regions in image sequences is a fundamental step in many vision systems including automated visual surveillance, human-machine interface. In this paper, we combine background subtraction algorithm with adaboost classifier to obtain exact moving areas. Grabcut segmentation is then used to further accurately segment the moving target areas. Our experiments show that our algorithm can achieve high reliability target detection with low false positive rate in complex situations. ©2010 IEEE.

关键词： Adaptive boosting

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ITIS: Intelligent Traffic Information Service in shanghaiGrid

ITIS: Intelligent Traffic Information Service in ShanghaiGri...

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ChinaGrid Annual Conference (ChinaGrid)

作者： Xu Li Junwei Wu Xinhua Lin Ying Li Minglu Li Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China Computer Software Technology Shanghai Development Center China

ISBN: (纸本)9780769533063

Intelligent traffic information service (ITIS) is a typically grid application in shanghaiGrid to achieve effective traffic management. Several issues and challenges needed to be explored in ITIS, such as resource sharing, middleware communication, traffic control grid, and so on. We implemented a prototype system of ITIS and carried out a field testing in shanghai city. We show that by utilizing the grid technology, the expected performance can be obtained, such as stability, scalability, etc. Meantime, traffic status estimation and traffic surveillance can be well handled in ITIS.

关键词： Vehicles Traffic control Wireless sensor networks Mobile communication Real time systems Middleware Wireless communication

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RSChat:Intelligent Question Answering Model for Railway Safety Knowledge

RSChat:Intelligent Question Answering Model for Railway Safe...

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International Conference on computer and Information Science (ACIS)

作者： Jinyu Li Chao Li Sen Niu Bingrong Dai School of Computer and Information Engineering Shanghai Polytechnic University Shanghai China Shanghai Development Center of Computer Software Technology Shanghai China

ISBN: (数字)9798350376647

ISBN: (纸本)9798350376654

The release of ChatGPT heralds a new era in artificial intelligence, as large language models (LLMs) empower myriad industries. This paper introduces RSChat, a model based on supervised fine-tuning of multiple large language models (LLMs), exploring a novel paradigm for applying knowledge in railway safety. Initially, we perform prompt engineering using collected domain data, including key information extraction and knowledge expansion. Subsequently, leveraging the constructed fine-tuning datasets, we conduct supervised fine-tuning using multiple large language models (LLMs) as base models. Finally, experimental evaluations demonstrate that RSChat can generate more professional responses in the railway safety domain, exhibiting robust potential for application.

关键词： Knowledge engineering Industries Information science Large language models Computational modeling Railway safety Information retrieval Chatbots Question answering (information retrieval) Prompt engineering

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Web 3D model library system based on cloud platform

Web 3D model library system based on cloud platform

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2012 International Conference on Information technology and software Engineering, ITSE 2012

作者： Chen, Mingang Cai, Wenjun Lu, Shida Zhang, Luwei Ma, Lizhuang Department of Computer Science and Technology Shanghai Jiao Tong University Shanghai 200240 China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai 201112 China Autodesk ACRD Shanghai 201804 China Information and Communication Center of SMEPC Shanghai 200063 China

ISBN: (纸本)9783642345302

The development of digital content industry needs the support of the online 3D model library. The construction of efficient interaction, stable and reliable model library is the trend of industry. In this paper, we design a web 3D model library system based on the Amazon cloud service platform. It adopted model simplification, model size adaption methods to make the system more efficient interaction. Meanwhile, cloud-based architecture ensured the reliability and scalability of the system. © 2013 Springer-Verlag.

关键词： Digital libraries

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