iosr-jmca   Volume-7 ~ Issue-1 ~ Jen. - Feb. 2020

ABSTRACT: With increase in population and infrastructure, need for energy production is gradually increasing and to full fill the demanding needs of consumers is in organization hands. This brings the issue of energy production and energy distribution for the organization. Existing meters are not so consumer friendly and always need a periodic checking from utility to inform about their monthly tariff, which requires more man power and is a time consuming process. Also the organization is not able to maintain proper record of consumer data. This project aims to reduce this burden and it makes a real time observation of energy consumption for the consumer as well as the organization. The consumer as well as the organization is able to monitor the real time usage of energy and receive notification to........

Keywords: Node MCU, ACS712, Relay.

[1]. https://en.wikipedia.org/wiki/Smart_grid
[2]. https://en.wikipedia.org/wiki/Decentralized_Generation
[3]. Moonsuk Choi, Seongho Ju and Yonghun Lim, "Design of Integrated Meter Reading System based on Power-LineCommunication", IEEE International Symposium on Power Line Communications and Its Applications, pp. 280-284, Apr. 2008.
[4]. B. S. Koay, S. S. Cheah, Y. H. Sng, P. H. J. Chong, P. Shum, Y. C. Tong, X.Y. Wang, Y.X. Zuo and H. W. Kuek, "Design and Implementation of Bluetooth Energy Meter", Fourth International Conference on Information, Communications, Multimedia and Signal Processing. pp. 1474-1477, Dec. 2003.
[5]. Shan He, Mark Wallace, Graeme Gange, "A Fast and Scalable Algorithm for Scheduling Large Number of Devices Under Real-Time Pricing", Research Gate Publication, 2018

ABSTRACT: Background: There is nearly a kind of technology for every modern human activity in all the various sectors of an economy. These hardware tools are powered by software applications which allow users to perform tasks in a customized manner. For some time now, in education, teachers, administrators, and students are usually seen using the help of computer/mobile apps to improve their day to day operations. In higher education, the delivery and design of course contentis a great determinant of the successful absorption of course concepts, theories and practicalities by students. Lecturers can leverage educational apps to improve pedagogy, but are they ready? Materials and Methods: With a qualitative design approach, online and hardcopy versions of the study questionnaire was able to....

Key Word:Educational Apps; Tertiary Education; Lecturers

[1]. Bulman, George, and Robert W. Fairlie. "Technology and education: Computers, software, and the internet." Handbook of the Economics of Education. Vol. 5. Elsevier, 2016. 239-280.
[2]. Kajander*, Ann, and Miroslav Lovric. "Transition from secondary to tertiary mathematics: McMaster University experience." International Journal of Mathematical Education in Science and Technology 36.2-3 (2005): 149-160.
[3]. Lennon, Marylou, et al. "Feasibility Study for the PISA ICT Literacy Assessment: Report to Network A." Educational Testing Service (2003).
[4]. Yamane, Taro. Statistics an Introductory Analysis. 2nd Edition, New York, Harper and Row.(1973)
[5]. Haffey, Faye, Richard RW Brady, and Simon Maxwell. "Smartphone apps to support hospital prescribing and pharmacology education: a review of current provision." British journal of clinical pharmacology 77.1 (2014): 31-38..

ABSTRACT: One of the most important subject which many researchers depending on it by applying many algorithms and methods is Cloud Computing. Some of these methods were used to enhance performance, speed, and advantage of task level parallelism and some of these methods used to deal with big data and scheduling. Many others decrease the computation's quantity in the process of implementation; specially decrease the space of the memory. Parallel data processing is one of the common applications of infrastructure, which is classified as a service in cloud computing. The purpose of this paper is to review parallel processing in cloud. However, the results and methods are inconsistent; therefore, the scheduling concepts give easy method to use the resources and process the data in parallel and decreasing the overall implementation time of processing algorithms. Overall, this review give us and open new doors for using the suitable technique in parallel data processing filed. As a result our work show according to many factors which strategies is better..

Key Word:Cloud Computing, Cloud Resources, Distributed Systems, Parallel Processing, Heavy-Load.

[1] J. Lim, T. Suh, J. Gil, and H. Yu, "Scalable and leaderless Byzantine consensus in cloud computing environments," Information Systems Frontiers, vol. 16, no. 1, pp. 19–34, 2014.
[2] H. Choi, J. Lim, H. Yu, and E. Lee, "Task classification based energy-aware consolidation in clouds," Scientific programming, vol. 2016, 2016.
[3] S. R. Zeebaree, R. R. Zebari, and K. Jacksi, "Performance analysis of IIS10.0 and Apache2 Cluster-based Web Servers under SYN DDoS Attack," TEST Engineering & Management, vol. 83, no. March-April 2020, pp. 5854–5863, 2020.
[4] S. R. Zeebaree, R. R. Zebari, K. Jacksi, and D. A. Hasan, "Security Approaches For Integrated Enterprise Systems Performance: A Review," INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, vol. 8, no. 12, Dec. 2019.
[5] S. R. M. Zeebaree, H. M. Shukur, L. M. Haji, R. R. Zebari, K. Jacksi, and S. M.Abas, "Characteristics and Analysis of Hadoop Distributed Systems," Technology Reports of Kansai University, vol. 62, no. 4, pp. 1555–1564, Apr. 2020..

ABSTRACT: This paper presents a method to design adaptive controller for robot based on Lyapunov control function using Backstepping techniques combined sliding mode control and neural network. This study used the
neural network to approximate the uncertainty functions, the weight coefficients of the neural network are trained online. The simulation results of the controller on the 2 degrees of freedom robotis is the sustainable
control systems with sticking to the trajectory with a zero attachment error, that showed the correctness of the theoretical analysis and the applicability of the adaptive controller using Backstepping techniques and sliding
mode control.

Keywords: Adaptive Control; Robot Manipulato; Backstepping Technique; Sliding Mode Control (SMC); Adaptive Neural Network Control (ANNC).

[1]. V.H.Dao, Robot Technique, Science and Technics Publishing House, 2017.
[2]. D.P.Nguyen, X.M.Phan, T.T.Han, Nonlinear control theory, Science and Technics Publishing House, 2019.
[3]. Miroslav Krstic, Loannis Kanellakopoulos, Petar Kokotovic, Nonlinear and adaptive control design, 2015.
[4]. S. Sam Ge, T.T.Han, "Semiglobal ISpS Disturbance Attenuation With Output Tracking via Direct Adaptive Design". IEEE Trans. On NN. Vol. 18, 2007.
[5]. Li, Zou, Zhao, "Adaptive NN control for a class of perturbed strict feedback nonlinear systems", Americal control conference 2008, vol.1, pp.81-86, 2008.

ABSTRACT: The increased cost and difficulty experienced by government hospitals in developing countries as a result of maintaining patient health records manually on paper files and the lack of easy access to patients' previous health history across hospitals for continuity of treatment, especially in the case of transfer or the relocation of a patient, causes a lot of setbacks in the health sector such as delay in the delivery of healthcare, fragmentation of health records of patients and probably the loss of patient health records. Again, maintaining independent hospital information systems with individual storages by the few hospitals already automating their work processes leads to increased cost of maintenance and wastage of resources. The aim of the research is to automate the paper health records....

Key words: EHR; Cloud Computing; Patient-Centric; Unified EHR; HIS.

[1]. O. Boyinbode and G. Toriola, "CloudeMR: A Cloud Based Electronic Medical Record System," Int. J. Hybrid Inf. Technol., vol. 8, no. 4, pp. 201–212, 2015.
[2]. A. A. Memon, M. R. Naeem, M. Tahir, M. Aamir, and A. A. Wagan, "A New Cloud Computing Solution for Government Hospitals to Better Access Patients ' Medical Information," vol. 2, no. 3, pp. 56–59, 2014.
[3]. M. F. A. Onik, K. Anam, S. S. Salman, A.-. Musawi, and N. Rashid, "A Secured Cloud based Health Care Data Management System," Int. J. Comput. Appl., vol. 49, no. 12, pp. 24–30, 2012.
[4]. "Health Records (Health Information Management)," Trillium Health Partners. [Online]. Available: http://trilliumhealthpartners.ca/patientrelations/pages/healthrecords.aspx. [Accessed: 27-Jan-2020].
[5]. "Electronic Health Record," Minnesota Department of Health. [Online]. Available: https://hellohealth.com/ehr/solutions/electronic-health-record/ [Accessed: 21-May-2020].

ABSTRACT: The three main focuses of higher education institutions are teaching learning, research and community services. Conducting research to solve problems in different thematic areas is a vital for the development of once country. Supporting this vital activity using ICT is also very important for effective management and efficient usage of research information. In this study, object based Distributed Computing is used to develop RMI Based Distributed Research Information Management System (RDRIMS) for Debre Markos University Burie campus research and community service office (RCSO). Java Remote Method Invocation (RMI) is used to implement easily accessible, transparent, open and scalable distributed research information system that can improve the management and usage of research information on the campus. Moreover, the developed system is secured and easily maintainable.

Key Word: Distributed Computing, RMI, RDRIMS, Debre Markos University Burie campus, RCSO

[1]. Harmonized Research and Publication Guideline for the Forum of Higher Educational Institutions in the Amhara Region, 2018
[2]. Yaser Hasan Al-Mamary, Alina Shamsuddin, Nor Aziati. Management Information Systems,
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[3]. Caluza, Las Johansen B. "Development of Electronic Document Archive Management System (EDAMS): A Case Study of a University Registrar in the Philippines." International Journal of Digital Information and Wireless Communications, vol. 7, no. 2, 2017, p. 106+. Accessed 7 Mar. 2020.
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[5]. Hanumant Pawar, Sujeet Patil, Sourabh Karche, Udit Upadhayay, Mahesh Channaram. Distributed Object Computing Using Java Remote Method Invocation, International Journal of Emerging Engineering Research and Technology Volume 3, Issue 5, May 2015, PP 68-76.

ABSTRACT: Nowadays, there is remarkable growth in technology and wireless sensor networks. These are primarily used for communication. The medium of communication between devices may be wired or wireless, hence, the chance of attacks through the networks is increasing daily. For secure communication, intrusion detection and prevention are primary concerns. Thus, study and analyses of intrusion detection and prevention techniques are the necessity to secure the network. With the assistance of intrusion detection and prevention systems, we can determine and then notify the normal and abnormal activities of the users. Thus, there is a requirement to design effective intrusion detection and prevention system by the use of machine learning for wireless sensor networks. In this paper, we present a survey and a comparative performance analysis of machine learning based approaches for intrusion detection in networks.....

[1] Rakesh Sharma, and Vijay Anant Athavale, "A Survey of Intrusion Detection Techniques and Architectures in Wireless Sensor Networks", Int. J. Advanced Networking and Applications, Volume: 10 Issue: 04 Pages: 3925-3937, 2019.
[2] M. Ngadi, A.H. Abdullah, and S. Mandala, "A survey on MANET intrusion detection", International J. Computer Science and Security, volume 2, number 1, pages 1-11, 2008.
[3] Y. Zhang, W. Lee, and Y.A. Huang, "Intrusion detection techniques for mobile wireless networks", J. Wireless Networks, vol. 9, num. 5, pp.545-556, 2003.
[4] T.S. Sobh, "Wired and wireless intrusion detection system: Classifications, good characteristics and state-of-the-art", Elsevier J. Computer Standards and Interfaces, volume 28, number 6, pages 670-694, 2006.
[5] T. Anantvalee and J. Wu, "A survey on intrusion detection in mobile ad hoc networks", Springer J. Wireless Network Security, pages 159-180, 2007.