Key performance indicators for Smart Campus and Microgrid

Research, design, and development of smart universities, smart education, smart classrooms, smart learning environments, smart pedagogy, smart learning and academic analytics, and related topics became the main themes of various pioneering international and national events and projects, governmental and corporate initiatives, institutional agendas, and strategic plans This paper presents the outcomes of an ongoing project aimed at a systematic literature review and creative analysis of professional publications available in those areas The premise is that the outcomes of the performed systematic creative analysis will enable researchers to identify the most effective and well-thought ideas, approaches, developed software and hardware systems, technical platforms, smart features and smartness levels, and best practices for the next evolutionary generation of a university—a smart university The presented Smart Maturity Model can be viewed as an evolutionary approach for a traditional university to progress to various levels of maturity of smart university

Smart University: Literature Review and Creative Analysis

SIMUTools 2008 is the first international conference focusing on Simulation Tools and Techniques for Communications, Networks, and Systems. The conference will address all aspects of simulation modelling and analysis. Papers are sought on the topics of methodology, tools, applications, and practices. Particular emphasis will be given to papers that bridge multiple areas.

Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops

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Rfid Design Principles

To better educate in-classroom and remote students we will need to approach education and how we teach various types of students differently. In addition, students these days are more technological than ever and are demanding new and innovative ways to learn. One of the most promising approaches is based on design and development of smart universities and smart classrooms. This paper presents the up-to-date outcomes of research project that is aimed on analysis of students with disabilities and how they might benefit from smart software and hardware systems, and smart technology.

Smart Universities, Smart Classrooms and Students with Disabilities

Attendance is one of the important factors that determine the students rendering. There is a necessity to build a smart system that decrease load in managing the attendance and improves the performance of colleges, universities and any educational institute. The most common actions in educational organizations involve identification of student, maintenance of student attendance, security of attendance and electrical power conservation at the place where the attendance is taken. In this paper, the mentioned topics are considered and present how evolving technologies of radio frequency identification (RFID) and wireless sensor network (WSN) can be used for building a smart university. Prototype is developed considering main cases concerned in a smart university. The system is interesting of smart student attendance, smart automation of electrical items and taking attendance in authenticated manner. Results show that consumption of energy is decreased while authentication and truthfulness of attendance record are increased.

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Designing Smart University using RFID and WSN

Attendance is one of the   important factors that determine the students’ activity in any educational organizations. Taking attendance manually is considered as a huge task, even if, it was done   using traditional methods such as barcode or smart card technologies leading to congestion and waste of time. The motivation of this papper is  to simulate the wireless sensors network of a smart university (UOT) campus using OMNeT++ inorder to enhance the total power consumption of wireless nodes using several nodes scheduiling algorthim  . The proposed system has been tested, and the results show that, the processing load of central server is  decreased  and the total transmission  load over the wireless network also enhanced with value of   83%. Different experiments applied over distributed ZigBee wireless nodes in order to enhance network parameters .finally, the network parameters such as total power capacity and number of received packets had been improved using a linear queue node scheduling as proposed method.

Muna M. Al Nayar

Papers

Designing Smart University using RFID and WSN

Simulating Efficient power Wireless Sensor Network over Smart University Campus