View Vol. 5 , Iss. 1 (January 2023)

Journal of Computer Science Research

ISSN: 2630-5151 (Online)

Vol. 5 , Iss. 1 (January 2023)

Articles

  • Data Analytics of an Information System Based on a Markov Decision Process and a Partially Observable Markov Decision Process

    Lidong Wang, Reed L. Mosher, Terril C. Falls, Patti Duett
    21-30

    Article ID: 5434
    6  (Abstract) 22  (Download)

    Data analytics of an information system is conducted based on a Markov decision process (MDP) and a partially observable Markov decision process (POMDP) in this paper. Data analytics over a finite planning horizon and an infinite planning horizon for a discounted MDP is performed, respectively. Value iteration (VI), policy iteration (PI), and Q-learning are utilized in the data...

  • On Software Application Database Constraint-driven Design and Development

    Christian Mancas, Cristina Serban, Diana Christina Mancas
    31-45

    Article ID: 5476
    2  (Abstract) 12  (Download)

    This paper presents a methodology driven by database constraints for designing and developing (database) software applications. Much needed and with excellent results, this paradigm guarantees the highest possible quality of the managed data. The proposed methodology is illustrated with an easy to understand, yet complex medium-sized genealogy software application driven by more than 200 database...

  • Outdoor Air Quality Monitoring with Enhanced Lifetime-enhancing Cooperative Data Gathering and Relaying Algorithm (E-LCDGRA) Based Sensor Network

    G. Pius Agbulu, G. Joselin Retnar Kumar
    13-20

    Article ID: 5383
    42  (Abstract) 16  (Download)

    The air continues to be an extremely substantial part of survival on earth. Air pollution poses a critical risk to humans and the environment. Using sensor-based structures, we can get air pollutant data in real-time. However, the sensors rely upon limited-battery sources that are immaterial to be alternated repeatedly amid extensive broadcast costs associated with...

  • Research on Precipitation Prediction Model Based on Extreme Learning Machine Ensemble

    Xing Zhang, Jiaquan Zhou, Jiansheng Wu, Lingmei Wu, Liqiang Zhang
    1-12

    Article ID: 5303
    40  (Abstract) 8  (Download)

    Precipitation is a significant index to measure the degree of drought and flood in a region, which directly reflects the local natural changes and ecological environment. It is very important to grasp the change characteristics and law of precipitation accurately for effectively reducing disaster loss and maintaining the stable development of a social economy. In...