Arodh Lal Karn¹, Panneer Selvam Manickam², R. Saravanan^3,*, Roobaea Alroobaea⁴, Jasem Almotiri⁴, Sudhakar Sengan⁵

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6019-6037, 2023, DOI:10.32604/cmc.2023.032791

Abstract Power Station (PS) monitoring systems are becoming critical, ensuring electrical safety through early warning, and in the event of a PS fault, the power supply is quickly disconnected. Traditional technologies are based on relays and don’t have a way to capture and store user data when there is a problem. The proposed framework is designed with the goal of providing smart environments for protecting electrical types of equipment. This paper proposes an Internet of Things (IoT)-based Smart Framework (SF) for monitoring the Power Devices (PD) which are being used in power substations. A Real-Time Monitoring (RTM) system is proposed, and… More >

Kamal ElDahshan¹, Eman Selim², Ahmed Ismail Ebada², Mohamed Abouhawwash^3,4, Yunyoung Nam^5,*, Gamal Behery²

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5149-5164, 2022, DOI:10.32604/cmc.2022.028326

Abstract Currently, relational database management systems (RDBMSs) face different challenges in application development due to the massive growth of unstructured and semi-structured data. This introduced new DBMS categories, known as not only structured query language (NoSQL) DBMSs, which do not adhere to the relational model. The migration from relational databases to NoSQL databases is challenging due to the data complexity. This study aims to enhance the storage performance of RDBMSs in handling a variety of data. The paper presents two approaches. The first approach proposes a convenient representation of unstructured data storage. Several extensive experiments were implemented to assess the efficiency… More >

Alex Rudniy^*

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 979-992, 2022, DOI:10.32604/cmc.2022.016676

Abstract This paper describes the process of design and construction of a data warehouse (“DW”) for an online learning platform using three prominent technologies, Microsoft SQL Server, MongoDB and Apache Hive. The three systems are evaluated for corpus construction and descriptive analytics. The case also demonstrates the value of evidence-centered design principles for data warehouse design that is sustainable enough to adapt to the demands of handling big data in a variety of contexts. Additionally, the paper addresses maintainability-performance tradeoff, storage considerations and accessibility of big data corpora. In this NSF-sponsored work, the data were processed, transformed, and stored in the… More >

J.B. Karanjekar¹, M.B. Ch,ak²

CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.2, pp. 177-187, 2017, DOI:10.3970/cmes.2017.113.177

Abstract As the data managed by applications has evolved over the years with the arrival of Web 2.0, a large number of new databases have been developed to manage various types of data. While the traditional relational databases continue to exist, NoSQL databases which are document oriented or key-value stores or columnar continue to evolve and are embraced very rapidly across the industry. It is not just the type of data handled by these databases that is different but also the query language they use is also different. This paper talks about a uniform query framework that can be used for… More >