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  • Open Access


    Front-end Control Mechanism of Electronic Records

    Jiang Xu1, Ling Wang1,2, Xinyu Liu1,2, Xiujuan Feng3, Yongjun Ren1,2,*, Jinyue Xia4

    Computer Systems Science and Engineering, Vol.39, No.3, pp. 337-349, 2021, DOI:10.32604/csse.2021.015004

    Abstract In the digital era, how to ensure the authenticity and integrity of electronic records has become an open challenging issue. Front-end control is an important concept as well as a basic principle in electronic record management. Under the instruction of front-end control, many original management links in the record-management stage are required to move forward, and the managers enter the formation stage of the electronic records to ensure the originality. However, the front-end control technique primarily focuses on transaction management, and it lacks the strategy of providing the control of electronic records. In this paper, a novel electronic record front-end… More >

  • Open Access


    Impact of Financial Technology on Regional Green Finance

    Zheng Liu1, Juanjuan Song1, Hui Wu2,*, Xiaomin Gu2, Yuanjun Zhao3, Xiaoguang Yue4, Lihua Shi1

    Computer Systems Science and Engineering, Vol.39, No.3, pp. 391-401, 2021, DOI:10.32604/csse.2021.014527

    Abstract Finance is the core of modern economy, and a strong country cannot do without the support of financial system. With the rapid development of economy and society, the traditional financial services can not support the increasingly large and complex economic system. As a brand-new format, financial technology can help the financial industry to restructure and upgrade. At the same time, as an international consensus, green development is the only way for China to achieve sustainable development. Therefore, it is of great practical significance to study the impact of finance on the regional development of green finance. Based on the essence… More >

  • Open Access


    The Arcsine-X Family of Distributions with Applications to Financial Sciences

    Yen Liang Tung1, Zubair Ahmad2, Eisa Mahmoudi2,*

    Computer Systems Science and Engineering, Vol.39, No.3, pp. 351-363, 2021, DOI:10.32604/csse.2021.014270

    Abstract The heavy-tailed distributions are very useful and play a major role in actuary and financial management problems. Actuaries are often searching for such distributions to provide the best fit to financial and economic data sets. In the current study, a prominent method to generate new distributions useful for modeling heavy-tailed data is considered. The proposed family is introduced using trigonometric function and can be named as the Arcsine-X family of distributions. For the purposes of the demonstration, a specific sub-model of the proposed family, called the Arcsine-Weibull distribution is considered. The maximum likelihood estimation method is adopted for estimating the… More >

  • Open Access


    Using Blockchain Technology in Mobile Network to create decentralized Home Location Registry (HLR)

    Behnam Kiani Kalejahi1,2,*, Ruslan Eminov1, Aga Guliyev1

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 287-296, 2021, DOI:10.32604/csse.2021.05480

    Abstract Blockchain can mean many things to many people. It is a set of protocols and encryption technologies for securely storing data on a distributed network for the developers. It is a distributed ledger for business and finance and the technology underlying the explosion of new digital currencies. For technologists, it is the driving force behind the next generation of the internet. On the other hand, it is a transformational technology facilitating large-scale human progress in previously unimagined ways for the rest of the people, a tool for radically reshaping society and economy. Some view it as a disruptive technology that… More >

  • Open Access


    Task Allocation Approach for Minimizing Make-Span in Wireless Sensor Actor Networks

    Mohammad Reza Okhovvat1, Mohammad Taghi Kheirabadi1,*, Ali Nodehi1, Morteza Okhovvat2

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 165-178, 2021, DOI:10.32604/csse.2021.05468

    Abstract Wireless Sensor Actor Networks (WSANs) have contributed to the development of pervasive computing wherein time consideration to perform the tasks of pervasive applications is necessary. Hence, time constraint is one of the major challenges of WSANs. In this paper, we propose an analytical approach based on queuing theory to minimize the total time taken for completion of tasks, i.e., make-span, in WSANs with hybrid architecture. The best allocation rates of tasks to actor nodes are figured out through solving inequities and qualities resulting from a steady state analysis of the proposed model. Applying the calculated tasks arrival rates at each… More >

  • Open Access

    A Novel PoW Scheme Implemented by Probabilistic Signature for Blockchain

    Bo Mi1, Yuan Weng1, Darong Huang1,*, Yang Liu1, Yuqing Gan2

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 265-274, 2021, DOI:10.32604/csse.2021.017507

    Abstract PoW (Proof of Work) plays a significant role in most blockchain systems to grant an accounting right over decentralized participants and ensure tamper resistance. Though hash functions are generally exploited for PoW due to their merits on summering, anti-collision, and irreversibility, they cannot certify that the bookkeeper is exactly the worker. Thereafter, such insistence may lead to abuse or even embezzlement of computing power for the benefit of malicious miners. To preserve the functionality of PoW but also bind the miners’ signing keys with their works, we build a post-quantum PoW scheme by changing the approximate closest vector norm for… More >

  • Open Access


    Community Detection in Aviation Network Based on K-means and Complex Network

    Hang He1,*, Zhenhan Zhao1, Weiwei Luo1, Jinghui Zhang2

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 251-264, 2021, DOI:10.32604/csse.2021.017296

    Abstract With the increasing number of airports and the expansion of their scale, the aviation network has become complex and hierarchical. In order to investigate the complex network characteristics of aviation networks, this paper constructs a Chinese aviation network model and carries out related research based on complex network theory and K-means algorithm. Initially, the P-space model is employed to construct the Chinese aviation network model. Then, complex network indicators such as degree, clustering coefficient, average path length, betweenness and coreness are selected to investigate the complex characteristics and hierarchical features of aviation networks and explore their causes. Secondly, using K-means… More >

  • Open Access


    Short-term Wind Speed Prediction with a Two-layer Attention-based LSTM

    Jingcheng Qian1, Mingfang Zhu1, Yingnan Zhao2,*, Xiangjian He3

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 197-209, 2021, DOI:10.32604/csse.2021.016911

    Abstract Wind speed prediction is of great importance because it affects the efficiency and stability of power systems with a high proportion of wind power. Temporal-spatial wind speed features contain rich information; however, their use to predict wind speed remains one of the most challenging and less studied areas. This paper investigates the problem of predicting wind speeds for multiple sites using temporal and spatial features and proposes a novel two-layer attention-based long short-term memory (LSTM), termed 2Attn-LSTM, a unified framework of encoder and decoder mechanisms to handle temporal-spatial wind speed data. To eliminate the unevenness of the original wind speed,… More >

  • Open Access


    Brain Storm Optimization Based Clustering for Learning Behavior Analysis

    Yu Xue1,2,*, Jiafeng Qin1, Shoubao Su2, Adam Slowik3

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 211-219, 2021, DOI:10.32604/csse.2021.016693

    Abstract Recently, online learning platforms have proven to help people gain knowledge more conveniently. Since the outbreak of COVID-19 in 2020, online learning has become a mainstream mode, as many schools have adopted its format. The platforms are able to capture substantial data relating to the students’ learning activities, which could be analyzed to determine relationships between learning behaviors and study habits. As such, an intelligent analysis method is needed to process efficiently this high volume of information. Clustering is an effect data mining method which discover data distribution and hidden characteristic from uncharacterized online learning data. This study proposes a… More >

  • Open Access


    Crowdsourced Requirements Engineering Challenges and Solutions: A Software Industry Perspective

    Huma Hayat Khan1,*, Muhammad Noman Malik2, Youseef Alotaibi3, Abdulmajeed Alsufyani4, Saleh Alghamdi5

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 221-236, 2021, DOI:10.32604/csse.2021.016510

    Abstract Software crowdsourcing (SW CS) is an evolving software development paradigm, in which crowds of people are asked to solve various problems through an open call (with the encouragement of prizes for the top solutions). Because of its dynamic nature, SW CS has been progressively accepted and adopted in the software industry. However, issues pertinent to the understanding of requirements among crowds of people and requirements engineers are yet to be clarified and explained. If the requirements are not clear to the development team, it has a significant effect on the quality of the software product. This study aims to identify… More >

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