Journal of Computer Science Research

Articles

• 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    DOI：https://doi.org/10.30564/jcsr.v5i1.5303
  
  49  (Download)
  

  Abstract:

  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... More

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• 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    DOI：https://doi.org/10.30564/jcsr.v5i1.5383
  
  45  (Download)
  

  Abstract:

  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... More

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• 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    DOI：https://doi.org/10.30564/jcsr.v5i1.5434
  
  67  (Download)
  

  Abstract:

  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... More

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• On Software Application Database Constraint-driven Design and Development

  Christian Mancas, Cristina Serban, Diana Christina Mancas

  31-45

  
  Article ID: 5476    DOI：https://doi.org/10.30564/jcsr.v5i1.5476
  
  57  (Download)
  

  Abstract:

  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... More

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