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  • Open Access


    Fuzzy Logic Inference System for Managing Intensive Care Unit Resources Based on Knowledge Graph

    Ahmad F Subahi*, Areej Athama

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3801-3816, 2023, DOI:10.32604/cmc.2023.034522

    Abstract With the rapid growth in the availability of digital health-related data, there is a great demand for the utilization of intelligent information systems within the healthcare sector. These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks. They can also provide various sustainable health services such as medical error reduction, diagnosis acceleration, and clinical services quality improvement. The intensive care unit (ICU) is one of the most important hospital units. However, there are limited rooms and resources in most hospitals. During times of seasonal diseases and pandemics, ICUs face high admission demand. In… More >

  • Open Access


    Query Optimization Framework for Graph Database in Cloud Dew Environment

    Tahir Alyas1, Ali Alzahrani2, Yazed Alsaawy2, Khalid Alissa3, Qaiser Abbas2, Nadia Tabassum4,*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2317-2330, 2023, DOI:10.32604/cmc.2023.032454

    Abstract The query optimizer uses cost-based optimization to create an execution plan with the least cost, which also consumes the least amount of resources. The challenge of query optimization for relational database systems is a combinatorial optimization problem, which renders exhaustive search impossible as query sizes rise. Increases in CPU performance have surpassed main memory, and disk access speeds in recent decades, allowing data compression to be used—strategies for improving database performance systems. For performance enhancement, compression and query optimization are the two most factors. Compression reduces the volume of data, whereas query optimization minimizes execution time. Compressing the database reduces… More >

  • Open Access


    A Model Transformation Approach for Detecting Distancing Violations in Weighted Graphs

    Ahmad F. Subahi*

    Computer Systems Science and Engineering, Vol.36, No.1, pp. 13-39, 2021, DOI:10.32604/csse.2021.014376

    Abstract This work presents the design of an Internet of Things (IoT) edge-based system based on model transformation and complete weighted graph to detect violations of social distancing measures in indoor public places. A wireless sensor network based on Bluetooth Low Energy is introduced as the infrastructure of the proposed design. A hybrid model transformation strategy for generating a graph database to represent groups of people is presented as a core middleware layer of the detecting system’s proposed architectural design. A Neo4j graph database is used as a target implementation generated from the proposed transformational system to store all captured real-time… More >

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