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  • Open Access

    ARTICLE

    Japanese Teaching Quality Satisfaction Analysis with Improved Apriori Algorithms under Cloud Computing Platform

    Lini Cai

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 183-189, 2020, DOI:10.32604/csse.2020.35.183

    Abstract In this paper, we use modern education concept and satisfaction theory to study the construction of a system used to evaluate Japanese teaching quality based on a satisfaction model. We use a cloud computing platform to mine the rules of Japanese teaching quality satisfaction by using an improved Apriori algorithm to explore the impact of measurement indicators of teaching objectives, processes and results on overall satisfaction with Japanese teaching practices, so as to improve Japanese teaching in the future. Scientific decision-making, improvement of teaching practices, transformation and innovation of students’ learning methods provide data reference and theoretical support. More >

  • Open Access

    ARTICLE

    An Internet of Things Platform for Air Station Remote Sensing and Smart Monitoring

    David Corral-Plaza1, Juan Boubeta-Puig1, Guadalupe Ortiz1, Alfonso Garcia-de-Prado2,*

    Computer Systems Science and Engineering, Vol.35, No.1, pp. 5-12, 2020, DOI:10.32604/csse.2020.35.005

    Abstract Air pollution is currently receiving more attention by international governments and organizations. Nevertheless, current systems for air quality monitoring lack essential requirements which are key in order to be effective concerning users’ access to the information and efficient regarding real-time monitoring and notification. This paper presents an Internet of Things platform for air station remote sensing and smart monitoring that combines Big Data and Cloud Computing paradigms to process and correlate air pollutant concentrations coming from multiple remote stations, as well as to trigger automatic and personalized alerts when a health risk for their particular context is detected. This platform… More >

  • Open Access

    ARTICLE

    Construction of an International Digital Sharing Platform of Dongba Manuscripts and Dongba Hieroglyphs

    Xu Xiaoli1,∗, Li Dong1, Jiang Zhanglei1, Li Ning1, Wu Guoxin1, Wang Hongjun1, Zhang Xu2, Bai Feng2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 191-199, 2019, DOI:10.32604/csse.2019.34.191

    Abstract With the aim of protecting, bequeathing, and sharing globally the Dongba manuscripts of the Chinese Naxi minority, the memory and heritage of which is under threat, this paper proposes ideas and plans for building a digital sharing platform to fulfil this aim using computer technology, information processing, online dissemination, multimedia display and other technologies to build an international digital platform for the sharing of Dongba manuscripts. This platform provides digital resources comprising Dongba manuscripts and related literature, tools for deciphering Dongba manuscripts, an environment for undertaking and sharing research, and dynamic information on the research findings and inheritance. The platform… More >

  • Open Access

    ARTICLE

    Design and Analysis of a Rural Accurate Poverty Alleviation Platform Based on Big Data

    Fan Bingxu*

    Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 549-555, 2020, DOI:10.32604/iasc.2020.013932

    Abstract Poverty alleviation has always been the focus of China's work. According to the survey, the poverty population in rural areas has been reduced to a large extent, and the unemployed have had the lowest historical record in history. Big data technology is a new technology that has slowly emerged in recent years. The use of big data technology to create a visual platform for rural poverty alleviation is a relatively new idea at this stage. And we use the Map-reducebased big data missing value filling algorithm, which is designed to solve the data loss phenomenon in the query process. It… More >

  • Open Access

    ARTICLE

    A Middleware for Polyglot Persistence and Data Portability of Big Data PaaS Cloud Applications

    Kiranbir Kaur1, *, Sandeep Sharma1, Karanjeet Singh Kahlon2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1625-1647, 2020, DOI:10.32604/cmc.2020.011535

    Abstract Vendor lock-in can occur at any layer of the cloud stack-Infrastructure, Platform, and Software-as-a-service. This paper covers the vendor lock-in issue at Platform as a Service (PaaS) level where applications can be created, deployed, and managed without worrying about the underlying infrastructure. These applications and their persisted data on one PaaS provider are not easy to port to another provider. To overcome this issue, we propose a middleware to abstract and make the database services as cloud-agnostic. The middleware supports several SQL and NoSQL data stores that can be hosted and ported among disparate PaaS providers. It facilitates the developers… More >

  • Open Access

    ARTICLE

    Establishment of Online Platform for Psychological Assistance during a Public Health Emergency

    Chunxiao Zhao1, Congrong Shi1, Lin Zhang1, Zhixin Zhai2, Zhihong Ren1,*, Xiubin Lin1, Guangrong Jiang1

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 123-132, 2020, DOI:10.32604/IJMHP.2020.011077

    Abstract The Coronavirus Disease 2019 (COVID-19) is raging worldwide, seriously threatening the public’s mental health. Online platform for psychological assistance integrated various sources to promote the public’s mental health. This article, using the Mental Health Service Platform at Central China Normal University, Ministry of Education (MOE-CCNU-MHSP) as an example, aims to describe the experience of building an online platform for psychological assistance in a public health emergency and discuss the further development of the online mental health service platform so as to provide suggestions to enhance online psychological service delivery. More >

  • Open Access

    ARTICLE

    A New Rockburst Experiment Data Compression Storage Algorithm Based on Big Data Technology

    Yu Zhang1,2, Yan-Ge Wang1, Yan-Ping Bai3, Yong-Zhen Li1,4, Zhao-Yong Lv5, Hong-Wei Ding6

    Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 561-572, 2019, DOI:10.31209/2019.100000111

    Abstract Rockburst phenomenon is a kind of phenomenon that the rock is out and ejected because the mineral was dug out, and the original force balance was destroyed in the process of mineral exploitation. From 2007, GeoLab (abbreviation of State Key Laboratory in China for GeoMechanics and Deep Underground Engineering) had made a series of important achievements in rockburst. Up to now, GeoLab’s rockburst experiment data is reached 800T, and these data may occupy about 2PB hard disk space after analyzed. At this ratio, GeoLab need to buy a new hard disk to save all these data every 46 hours rockburst… More >

  • Open Access

    ARTICLE

    Research on Intelligent Technology Management and Service Platform

    Ning Chen1, Hui Li2, Xinxin Fan3, 4, Weiliang Kong1, Yonghong Xie3, 4, *

    Journal on Artificial Intelligence, Vol.2, No.3, pp. 149-155, 2020, DOI:10.32604/jai.2020.09888

    Abstract In recent years, there are some problems in science and technology management, such as untimely task supervision and independent information system, which makes it difficult to achieve accurate, quantitative and standardized management. The storage of scientific research test data is scattered, and there are many deficiencies in the management, promotion and use of existing intellectual property. In this paper, on the basis of the knowledge economy, intelligence economy under the conditions of knowledge management concept and cutting-edge technology, technology management and service management related data, information, knowledge, method of blend together. Based on science and technology management, knowledge management as… More >

  • Open Access

    ARTICLE

    Fine-Grained Binary Analysis Method for Privacy Leakage Detection on the Cloud Platform

    Jiaye Pan1, Yi Zhuang1, *, Xinwen Hu1, 2, Wenbing Zhao3

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 607-622, 2020, DOI:10.32604/cmc.2020.09853

    Abstract Nowadays cloud architecture is widely applied on the internet. New malware aiming at the privacy data stealing or crypto currency mining is threatening the security of cloud platforms. In view of the problems with existing application behavior monitoring methods such as coarse-grained analysis, high performance overhead and lack of applicability, this paper proposes a new fine-grained binary program monitoring and analysis method based on multiple system level components, which is used to detect the possible privacy leakage of applications installed on cloud platforms. It can be used online in cloud platform environments for fine-grained automated analysis of target programs, ensuring… More >

  • Open Access

    ARTICLE

    Analysis of Wireless Backhaul Networks Based on Aerial Platform Technology for 6G Systems

    Sooeun Song1, Minsu Choi1, Yunyeong Goh1, Jusik Yun1, Wonsuk Yoo1, Wonsik Yang1, Jaewook Jung1, Jong-Moon Chung1, *

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 473-494, 2020, DOI:10.32604/cmc.2020.09052

    Abstract As next generation communication technologies emerge, new high data rate applications and high-definition large-screen video streaming have become very popular. As a result, network traffic has been increasing so much that existing backhaul networks soon will not be able to support all traffic demands. To support these needs in future 6G mobile systems, the establishment of an additional backhaul wireless network is considered essential. As one of the solutions, a wireless backhaul network based on an aerial platform has been proposed. In order to explore the potential of aerial platforms as wireless backhaul networks, in this paper, the categories for… More >

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