iosr-jmca   Volume-9 ~ Issue-6 ~ Nov.-Dec. 2022

ABSTRACT: Digital media in the present age of digital technologies have become an integral part of the lives of children across the globe. Children spend many hours on a daily basis with the media, and the media have had tremendous influence on children. The influence is both healthy and unhealthy for their development. As a way of maximizing the healthy influences and mitigating the unhealthy ones, some scholars have suggested the intervention of parental controls (the use of filters and monitoring software to keep track of children's use of digital media). A pertinent observation however is that many parents in developing countries and even in the developed countries do not put.....

Key Word: Children, Digital Media, Parents, Parental Controls, Parental Mediation

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[2]. Centre for Digital Media (2016). What is digital media? Retrieved from: https://thecdm.ca/program/digital-media
[3]. Creaber, G., & Martins, R. (2009). Introduction, in G. Creaber & R. Martin (Eds.), Digital cultures: Understanding new media (pp. 1 – 10). London: McGraw-Hill.
[4]. Danesi, M. (2009). Dictionary of media and communications. New York: M.E. Sharpe.
[5]. Daud, A., Omar, S.Z., Hassan, M.S., Bolong, J., & Teimour, M. (2014). Parental mediation of children's positive use of the internet. Life Science Journal, 11 (8), 360 – 369. Retrieved from: http://www.lifesciencesite.com

ABSTRACT: Teaching in these days is almost regarded impossible without the Information Technology resources which needs a great amount of investments in this sector, there are a huge number of educational institutions which cannot afford these IT investments. Many institutions are in search of a cheap and economic way of delivering and managing these resources mainly in the Asian countries. Among such solutions, it is debated that Cloud computing is the right choice to reduce the expenses of the institutions. This paper describes the common benefits of cloud computing for.....

[1]. N. Pathak, "Tharam Dillon, Chen Wu, and Elizabeth Chang. Cloud computing: issues and challenges. In Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on, pages 27–33. Ieee, 2010.," pp. 708–712, 2018.
[2]. Z. B. Zakr Husain Burhanuddin Shaikh. Understanding cloud computing- an innovation trend in it and business, 2014. [Online][Retrieved jun 2, 2016], http://www.ijirs.com/vol3issue− 4/47.pdf.Kalpeyeva and A. K. Mustafina, "IT-infrastructure of university based on cloud computing," vol. 10, no. 5, pp. 176–179, 2013.
[3]. T. Dillon, C. Wu, and E. Chang, "Cloud Computing : Issues and Challenges," pp. 27–33, 2010.
[4]. R. Lakshminarayanan, B. Kumar, and M. Raju, "Cloud Computing Benefits for Educational Institutions."
[5]. S. Pathania, "A Step Towards Secure Cloud Computing : Comparative Study of Various Security Approaches," pp. 4009–4013, 2017

ABSTRACT: Cloud computing is an exceptionally versatile and effective foundation for running undertaking and web applications. Vitality utilization use and simultaneous impacts on condition are the dynamic difficulties with respect to distributed computing. We examined past investigates dependent on vitality productivity approaches and recovered the conditions to advance green distributed computing models. Server farms are considered as the foundation of cloud framework. Various organizations are putting resources into building up vast server farms to oblige diverse distributed computing administrations. These server farms assimilate tremendous measure of vitality. They are additionally mind boggling in the foundation. Throughout the years, control utilization has risen as.....

Keywords: Cloud Computing, Predictive Analysis, Convex Optimization, and Energy Efficiency

[1]. B. Wadhwa and A. Verma, "Carbon Efficient VM Placement and Migration Technique for Green Federated Cloud Datacenters," IEEE, pp. 2297-2302, 2014.
[2]. C. Qiu, H. Shen and L. Chen, "Towards Green Cloud Computing: Demand Allocation and Pricing Policies for Cloud Service Brokerage," IEEE, pp. 203-2012, 2015.
[3]. Eduard OróVictorDepoorter,AlbertGarcia and JaumeSalom,‖Energy efficiency and renewable energy integrationin data centres. Strategies and modeling review,‖ELSEVIER,pp.1-17,2015.
[4]. F. Farahnakian, T. Pahikkala, P. Liljeberg, J. Plosila and H. Tenhunen, "Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing," IEEE, pp. 381-388, 2015.
[5]. L. A. Rocha and E. Cardozo, "A Hybrid Optimization Model for Green Cloud Computing," IEEE, pp. 11-20, 2014..

ABSTRACT: In recent years, with the improvement of people's living standards, cars have gradually entered people's daily life, thus driving the rapid development of the automotive industry. At the same time, there are many kinds of cars in the market, and there are many performance indicators to measure the quality of cars. Therefore, this study will explore the internal relationship between the types of cars and their performance indicators through multivariate statistical methods, and cluster all kinds of cars according to these indicators. For example, they are divided into three grades of good quality, medium quality and good quality, which can provide guidance for the majority of car buyers and sellers..

Key word: Cluster analysis; new energy automobile industry ; data mining technology

[1]. Zheng, J.; Sun, S. An Improved Algorithm and Theoretical Proof of Hopfield Network for TSP.
[2]. Gong, S.; Zhang, Y.; Wu, H.; Wei, G. A method based on particle swarm optimization and Hopfield network to solve TSP problem.
[3]. Wang, X.; Song, W. Application of Neural Network in Dynamic Production Scheduling of Flexible Production Line.
[4]. Li, W. A Garbage Collection Scheduling Method Based on Neural Network.
[5]. Li, S. A Real-Time Grid Scheduling Algorithm Based on Neural Network.

ABSTRACT: The development of technology is very fast. Technology can be used to diagnose various diseases, one of which is heart disease. To be able to predict, analyze and recognize patterns, a new science emerged, namely data mining. Data mining is a process of gathering information from big data. In data mining there are several methods, one of which is classification. Before classification is carried out on some attributes of the data it may not be relevant if it is included in the classification process. For this reason, the selection of which attributes is a process to find out which attributes are relevant to use and which are not. Attribute selection uses information gain and forward selection algorithms which.....

Keywords: Data mining, Information Gain, Forward Selection, Naïve Bayes

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[2] N. A. Widiastuti, S. Santosa, and C. Supriyanto, "ALGORITMA KLASIFIKASI DATA MINING NAÏVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION UNTUK DETEKSI PENYAKIT JANTUNG," J. Pseudocode, vol. 1, no. 1, pp. 11–14, 2014.
[3] M. Bramer, Principles of data mining. 2016.
[4] J. Han, M. Kamber, and J. Pei, DATA MINING : Concepts and techniques. 2012.
[5] X. Wu et al., Top 10 algorithms in data mining. 2008.