Volume 8, Issue 2, February 2016

 

 

 

An Evaluation on Long Term Evolution (LTE) and its PHY layers

Pages: 18-22 (5) | [Full Text] PDF (270KB)
EF Ali, EN Muslim, EMAthar Suri, R Ullah
Electrical Engineering Department Iqra National University, Peshawar Pakistan
Electrical Engineering Department Sarhad University of Science and IT, Peshawar Pakistan
Department of Computer science University of Peshawar, Pakistan

Abstract -
LTE (Long Term Evolution) is a next generation communication technology. It is a standard by 3rd and 4th Generation. In this article, we give an overview the physical layer (PHY) of LTE transceiver is analyzed in downlink and uplink transmissions. A number of issues regarding the design and analysis of PDSCH and PUSCH are discussed in this paper and their link level and system level performance has been evaluated.
 
Index Terms - Long term Evolution (LTE), Physical Downlink Shared Channel (PDSCH) and Physical Uplink Shared Channel (PUSCH)

Citation - EF Ali, EN Muslim, EMAthar Suri, R Ullah. "An Evaluation on Long Term Evolution (LTE) and its PHY layers." International Journal of Computer Engineering and Information Technology 8, no. 2 (2016): 18-22.

 

A Thematic Review of Teacher Candidates Impressions on Augmented Reality Enhanced Learning Materials

Pages: 23-29 (7) | [Full Text] PDF (428 KB)
Y Ozarslan
Department of New Media, Yasar University, Izmir, Turkey

Abstract -
The purpose of this study is to investigate teacher candidates perspectives about using augmented reality enhanced learning materials. For this study, functionally enhanced OptikAR (Basic Experiments in Geometrical Optics) and visually enhanced InsectAR (Basic Insect Diversity and Classification) learning materials were used to investigate users feelings, opinions, expectations, acceptance, pleasure and deeper emotions regarding their experience. These materials were used individually by teacher candidates according to the instructions given. Following the completion of the guides, a semi-structured interview was conducted with each participant to obtain their impressions. To this end, participants, who could analyze the application from different point of views, were preferred. Using purposeful sampling four teacher candidates from Computer Education and Instructional Technology, Educational Sciences, and Guidance and Psychological Counselling departments were selected. The findings represent four teacher candidates perspectives from a sufficiently diverse range of education faculty. Thematic content analysis is used as a method of analyzing qualitative data generated by interviews. Data regarding the themes were interpreted through tables and direct excerpts from the related data. As a result according to teacher candidates, use of functionally enhanced (OptikAR) and visually enhanced (InsectAR) learning materials have positive effect on learning. Participants found applications interesting, funny, motivating, easy to use, and realistic. Regarding to their experience, these types of applications make learning easier, provide a flexible learning process and economically materialize abstract concepts and topics. Similarly, it was observed to have a positive effect on the satisfaction of teacher candidates. Such products will increase the will to learn and provide memorable learning. Despite the development of educationally appropriate designs, users have demanded customization options regarding the user interface. Such customization options are an important factor in learner satisfaction.
 
Index Terms - Augmented Reality, Augmented Reality in Education, Enhancing Learning with Augmented Reality

Citation - Y Ozarslan. "A Thematic Review of Teacher Candidates Impressions on Augmented Reality Enhanced Learning Materials." International Journal of Computer Engineering and Information Technology 8, no. 2 (2016): 23-29.

 

ELECTRICITY THEFT DETECTION TECHNIQUE: SURVEY

Pages: 30-35 (6) | [Full Text] PDF (202 KB)
P Jumale, A Khaire, H Jadhawar, S Awathare, M Mali
Department of Computer Engineering, VIIT, Maharashtra, India
Assistant Professor Department of Computer Engineering, VIIT, Maharashtra, India

Abstract -
Electricity distribution authorities loose a large chunk of income, due to illegal connections or dishonesty of customers for their personal gains. Various systems are introduced by researchers to detect the theft and diminish the non-operational loses. The methods like Support Vector Machine (SVM), Fuzzy C-means Clustering, Fuzzy logic, User profiling, Genetic Algorithm, etc. are used to detect theft in electricity. There are two disadvantages associated with using these systems based on this methodologies is accuracy and also the infrastructure needed to employ them (like smart energy meter).With the help of current systems analysis new system is proposed which tries to enhance the accuracy of the theft detection.
 
Index Terms - Support Vector Machine (SVM), Fuzzy C-means Clustering, Fuzzy logic, User profiling, Genetic Algorithm, Power Line Communication (PLC)

Citation - P Jumale, A Khaire, H Jadhawar, S Awathare, M Mali. "ELECTRICITY THEFT DETECTION TECHNIQUE: SURVEY ." International Journal of Computer Engineering and Information Technology 8, no. 2 (2016): 30-35.