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2015 4th National Conference on Electrical,Electronics and computer Engineering(NCEECE 2015)

作者： Mingang Chen Zhenqiang Chen Wanggen Liu Zhengyu Liu Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Development Center of Computer Software Technology

ISBN: (纸本)9781510819085

The high demand for data analysis and rapid development of big data technology and application has led to a variety of commercial and open source big data processing systems launched by industry and academia. So how to test and evaluate these systems objectively has become an important research topic. In this paper, we propose and develop an automated benchmark testing solution based on TPC-DS for Transwarp Inceptor, a big data analysis system. Test includes generating and loading a 500 GB data set and creating 24 tables and testing the performance of the system and SQL compatibility by executing 99 standard SQL queries. The test results can provide reference for enterprises to compare and choose big data analysis systems.

关键词： Benchmark testing Transwarp Inceptor Big data

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A global systematic review and meta-analysis of innovative technologies for 1,2,4-trichlorobenzene remediation in soil and water

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Environmental geochemistry and health 2025年第6期47卷 217页

作者： Olive Mekontchou Yemele Zhenhua Zhao Mbezele Junior Yannick Ngaba Ervice Ymele Liling Xia Wang Xiaorou Prince Atta Opoku Key Laboratory of Integrated Regulation and Resource Development On Shallow Lake of Ministry of Education College of Environment Hohai University Nanjing 210098 China. Key Laboratory of Integrated Regulation and Resource Development On Shallow Lake of Ministry of Education College of Environment Hohai University Nanjing 210098 China. zzh4000@***. Center of Molecular Ecophysiology (CMEP) College of Resources and Environment Southwest University Chongqing 400715 P.R. China. Higher Technical Teacher' Training College of Ebolowa University of Ebolowa (HTTTC) 886 Ebolowa Cameroon. Department of Chemistry University of Dschang P.O. Box 67 Dschang Cameroon. School of Computer & Software Nanjing Institute of Industry Technology Nanjing 210016 P.R. China. School of Environment Harbin Institute of Technology No. 92 West Dazhi Street Nan Gang District Harbin P.R. China.

The 1,2,4-trichlorobenzene (1,2,4-TCB) is a persistent organic pollutant, which poses a serious concern due to its long-lasting and detrimental impact on soil and water quality. This study uses meta-analysis to investigate the effectiveness of various remediation methods for 1,2,4-TCB in water and soil. In water, the intimate coupling of photocatalysis and biodegradation (ICPB) demonstrated the highest removal rate (80%), followed by photocatalysis (PC, 69%), bioremediation (B, 53%), and photolysis (P, 42%). Optimal conditions for 1,2,4-TCB removal in water included short remediation times (< 5 days), higher temperatures (≥ 25 °C), neutral pH, and specific free radicals (H > •OH > •O). In soil, short-term remediation methods and suspended cultures showed higher removal rates. Topsoil depth layers (≤ 10 cm) exhibited better removal rates than subsoil (> 10 cm). Key factors influencing remediation effectiveness in water were hydraulic retention time (HRT), salinity, and water table depth, while in soil, remediation time and soil depth layer were the most significant. This research highlights the importance of optimizing remediation methods and environmental conditions to remove 1,2,4-TCB from contaminated sites effectively. Further investigation is needed to understand the underlying mechanisms and optimal conditions for these remediation methods, particularly in soil. Effective remediation of 1,2,4-TCB requires a tailored approach considering specific environmental conditions and challenges in water and soil. The ICPB shows promise, especially in aquatic environments. However, further research is essential to optimize these methods, particularly for soil remediation.

关键词： 1,2,4-trichlorobenzene Chlorinated hydrocarbon Degradation mechanisms Meta-analysis Remediation technologies

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Security Test Method technology for Mobile Application Based on Code Analysis

Security Test Method Technology for Mobile Application Based...

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2017 2nd International Conference on Control, Automation and Artificial Intelligence(CAAI2017)

作者： Zhenyu Liu Shanghai Development Center of Computer Software Technology Shanghai Key Laboratory of Computer Software Testing and Evaluating

ISBN: (纸本)9781510845541

The rapid development of mobile application, this paper gives a test method to find the security issues in the with mobile application software base on code analysis. The paper analyzes the code features of Android application and proposes static test method for Android application. According to code and configuration characteristics, the paper gives the knowledge base and makes the code feature comparison using the existing knowledge base. The full test procedure also proposed and helps the tester to make test design and test execution. The method is used to test some mobile application and find possible security problem to avoid the security attack or personal information leak.

关键词： mobile application security test code analysis

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Performance analysis of a class of networked control systems under data rate constraints

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Journal of shanghai University(English Edition) 2009年第5期13卷 356-358页

作者：李力雄费敏锐丁瑾 Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and AutomationShanghai University Software Development Center ICBC

In networked control system (NCS) where control loop is closed over communication network, limited data rate may deteriorate control performance even destabilize the control system. In this paper, performance analysis of a typical second-order control system with data rate constraints is conducted, and the concept of critical data rate (CDR) is presented. In order to find the CDR in NCS, an approximate searching method is proposed to guarantee acceptable control performance.

关键词： networked control system (NCS) data rate network-induced delay performance of control

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A hierarchical similarity based job recommendation service framework for university students

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Frontiers of computer Science 2017年第5期11卷 912-922页

作者： Rui LIU Wenge RONG Yuanxin OUYANG Zhang XIONG State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China Engineering Research Center of Advanced Computer Application Technology Ministry of Education Beihang University Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China

When people want to move to a new job, it is often difficult since there is too much job information available. To select an appropriate job and then submit a resume is tedious. It is particularly difficult for university students since they normally do not have any work experience and also are unfamiliar with the job market. To deal with the informa- tion overload for students during their transition into work, a job recommendation system can be very valuable. In this research, after fully investigating the pros and cons of current job recommendation systems for university students, we propose a student profiling based re-ranking framework. In this system, the students are recommended a list of potential jobs based on those who have graduated and obtained job offers over the past few years. Furthermore, recommended employers are also used as input for job recommendation result re-ranking. Our experimental study on real recruitment data over the past four years has shown this method＇s potential.

关键词： job recommendation students similarity time,re-ranking

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An Evaluation System for Large Language Models based on Open-Ended Questions

An Evaluation System for Large Language Models based on Open...

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IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

作者： Zhiyuan Cao Zeyu Ma Mingang Chen Computer and Information Engineering College Shanghai Polytechnic University Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Development Center of Computer software Technology Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Development Center of Computer software Technology Mathematical and Science College Shanghai Normal University Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Development Center of Computer software Technology Shanghai China

ISBN: (数字)9798350376982

ISBN: (纸本)9798350376999

We designed a large language model evaluation system based on open-ended questions. The system accomplished multidimensional evaluation of LLMs using open-ended questions, and it presented evaluation results with evaluation reports. Currently, the evaluation of large-scale language models often exists with two prominent limitations: (1) The evaluation methods are often single-minded, resulting in less credible results. (2) Most evaluations are based on datasets with closed-ended questions, treating generative large language models as discriminative models, which fails to adequately reflect the high output flexibility characteristic of these models. For these two limitations, we proposed an evaluation system for LLMs based on open-ended questions. Our experiments on the adapted open-source datasets demonstrated the effectiveness of this system. The code of the system was released on https://***/JerryMazeyu/GreatLibrarian.

关键词： Adaptation models Cloud computing Accuracy Codes Large language models System performance Reflection

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Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing software Testing Engineer Selection Mechanism

Attribute-Based Non-Interactive Privacy-Protected Crowd-Sour...

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

作者： Qiliang Yang Lizhi Cai Jiayu Gong Minlu Tang Yi Lin Shanghai Development Center of Computer Software Technology Cryptographic Standard Study & Security Evaluation Laboratory Shanghai China Shanghai Development Center of Computer Software Technology Shanghai Key Laboratory of Computer Software Testing & Evaluating Shanghai China

The central management platforms in traditional crowd-sourced software testing networks are easy to become the target of attack by the enemies, and when the central management platform is attacked, it is easy to cause a single point of failure and bring the whole system down. In addition, when selecting software testing engineers for crowd-sourcing software testing tasks, most mechanisms select engineers based on their credits. This approach is too one-sided and fails to achieve fine-grained engineer selection. In order to solve above problems, we have proposed a non-interactive and fine-grained crowd-sourcing software testing engineer selection mechanism. In our mechanism, the task publisher can select engineers according to their attributes. Next, we have given an implementation of our non-interactive software testing engineer selection mechanism by applying QAP. The privacy of task publisher and engineers is protected. The security proof is also given. Simulation results show that our mechanism is feasible.

关键词： software testing Privacy Simulation software quality Reliability engineering software reliability Security

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Research on non-authorized privilege escalation detection of android applications

Research on non-authorized privilege escalation detection of...

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

作者： Yaping Yang Lizhi Cai Yanguo Zhang Shanghai Key Laboratory of Computer Software Testing & Evaluating Shanghai Development Center of Computer Software Technology Shanghai China

This paper briefly analyzes the security mechanism of android platform and describes permission statement and request of android application. According to android permission mechanism and its shortcoming, the android privilege escalation detection technology and attacking principle is mainly analyzed, and privilege escalation attacking model and architecture of application is put forward. Penetration testing tool Drozer is used to detect application permission. Application package and Manifest file is analyzed to obtain privilege elevation vulnerability. At the same time, sensitive combination permission is distinguished to avoid and exclude the use of malicious code.

关键词： Androids Humanoid robots Smart phones Security Malware Testing

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Analysis for Microservice Architecture Application Quality Model and Testing Method

Analysis for Microservice Architecture Application Quality M...

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

作者： Jiayu Gong Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluation Shanghai Development Center of Computer Software Technology Shanghai China

In recent years, microservice architectures have benefited from low coupling and high cohesion characteristics, allowing flexible on-demand deployment of complex applications and simplifying the difficulty of developing and maintaining large software systems. However, there is limited research on quality models and testing methods for microservice architectures, which leads to the problem that microservice architecture applications are difficult to test and evaluate. This paper analyzes the main problems when microservice architecture applications face quality measurement and software testing, further improves and refines the quality model of microservice architecture applications on the basis of the existing ISO software product quality model, and introduces testing methods for microservice architecture applications, which can provide reference for the construction of microservice architecture applications.

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Chinese character recognition based on 8-direction feature extraction 4

Chinese character recognition based on 8-direction feature e...

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4th International Conference on Multimedia technology, ICMT 2015

作者： Lu, Ping Yang, Yi Sheng, Bin Li, Ping Chen, Mingang Wu, Dan School of Information Science and Engineering Southeast University Nanjing China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Department of Mathematics and Information Technology Hong Kong Institute of Education Hong Kong Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Development Center of Computer Software Technology Shanghai China Information Center China Southern Power Grid Co. Ltd Guangzhou China

ISBN: (纸本)9781138027947

The field of practical character recognition has seen great advances these years, owing the to proposition of effective newmethod and progress in computer hardware. However, lots of problems like precision and progressing speed remain to be solved. This paper proposes a useful practical optical character recognition method of both Chinese character and English character. Given a photo randomly taken, we pre-progress it to undo the influence of light and tilt. Then we separate each word to extract 8-direction chain-code feature of it. When faced with complex scene, the method we propose achieve relatively high precision and fast speed. © 2015 Taylor & Francis Group.

关键词： Optical character recognition

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