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  • Open Access

    ARTICLE

    BArcherFuzzer: An Android System Services Fuzzier via Transaction Dependencies of BpBinder

    Jiawei Qin1,2, Hua Zhang1,*, Hanbing Yan2, Tian Zhu2, Song Hu1, Dingyu Yan2

    Intelligent Automation & Soft Computing, Vol.39, No.3, pp. 527-544, 2024, DOI:10.32604/iasc.2024.047509

    Abstract By the analysis of vulnerabilities of Android native system services, we find that some vulnerabilities are caused by inconsistent data transmission and inconsistent data processing logic between client and server. The existing research cannot find the above two types of vulnerabilities and the test cases of them face the problem of low coverage. In this paper, we propose an extraction method of test cases based on the native system services of the client and design a case construction method that supports multi-parameter mutation based on genetic algorithm and priority strategy. Based on the above method, More >

  • Open Access

    ARTICLE

    Do Research Incentives Promote Researchers’ Mental Health?

    Liujian Gu1, Tao Wang1, Chuanyi Wang1,*, M. James C. Crabbe2, Xiao-Guang Yue3

    International Journal of Mental Health Promotion, Vol.25, No.8, pp. 903-914, 2023, DOI:10.32604/ijmhp.2023.028157

    Abstract Background: Researchers have a higher risk of anxiety and depression than the general population, so it is important to promote researchers’ mental health. Method: Based on the data from 3210 global researchers surveyed by the journal Nature in 2021, confirmatory factor analysis, OLS regression and other regressions were used to explore the research incentive dimensions and their effects on researchers’ mental health. Results: (1) Material incentive factors, work-family life balance factors, good organizational environment and spiritual motivation had significant positive effects on researchers’ mental health. (2) The spiritual motivation could better promote researchers’ mental health than… More >

  • Open Access

    ARTICLE

    Archery Algorithm: A Novel Stochastic Optimization Algorithm for Solving Optimization Problems

    Fatemeh Ahmadi Zeidabadi1, Mohammad Dehghani2, Pavel Trojovský2,*, Štěpán Hubálovský3, Victor Leiva4, Gaurav Dhiman5

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 399-416, 2022, DOI:10.32604/cmc.2022.024736

    Abstract Finding a suitable solution to an optimization problem designed in science is a major challenge. Therefore, these must be addressed utilizing proper approaches. Based on a random search space, optimization algorithms can find acceptable solutions to problems. Archery Algorithm (AA) is a new stochastic approach for addressing optimization problems that is discussed in this study. The fundamental idea of developing the suggested AA is to imitate the archer's shooting behavior toward the target panel. The proposed algorithm updates the location of each member of the population in each dimension of the search space by a… More >

  • Open Access

    ARTICLE

    Analyzing COVID-19 Impact on the Researchers Productivity through Their Perceptions

    Syeda Javeria Shoukat1, Humaira Afzal2, Muhammad Rafiq Mufti3, Muhammad Khalid Sohail4, Dost Muhammad Khan5, Nadeem Akhtar5, Shahid Hussain6,*, Mansoor Ahmed1

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1835-1847, 2021, DOI:10.32604/cmc.2021.014397

    Abstract Context: Since the end of 2019, the COVID-19 pandemic had a worst impact on world’s economy, healthcare, and education. There are several aspects where the impact of COVID-19 could be visualized. Among these, one aspect is the productivity of researcher, which plays a significant role in the success of an organization. Problem: There are several factors that could be aligned with the researcher’s productivity of each domain and whose analysis through researcher’s feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an organization. Method:More >

  • Open Access

    ARTICLE

    ADVENTURE AutoGL: A Handy Graphics and GUI Library for Researchers and Developers of Numerical Simulations

    H. Kawai1

    CMES-Computer Modeling in Engineering & Sciences, Vol.11, No.3, pp. 111-120, 2006, DOI:10.3970/cmes.2006.011.111

    Abstract ADVENTURE AutoGL (pronounced as ‘Ote- ga-lu’) is a graphics and GUI library, dedicated for simulation-based research and development. It is designed for the simulation users to develop their own data viewers and editors. Currently, the library is used among many researchers and simulation users, mainly in universities and national research centers. Its functionalities and supported platforms are explained. AutoGL applications of various kinds of simulation methods are demonstrated also. More >

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