

Performance Comparison of SUI Communication Channel with Wavelet Implemented WiMAX Communication System |
Pages: 165-170 (6) | [Full Text] PDF (456 KB) |
RU ISLAM, M ISLAM, F ENAM, H HOMYARA |
Lecturer, Dept. of CSE, EXIM Bank Agricultural University, Chapainowabgong, BangladeshLecturer, Dept. of CSE, Atish Dipankar University of Science & Technology, Dhaka, BangladeshAssociate Professor, Dept of ICE, Rajshahi University, Rajshahi, Bangladesh |
Abstract - The objective of this paper is to analyze the performance of WiMAX Communication Model by implementing Stamford University Interim(SUI)-1 and Stamford University Interim(SUI)-2 communication channel. We evaluated the performance of WiMAX Physical layer by implementing wavelet in place of IFFT, under different combination of digital modulation techniques (16-PSK, QAM and 16-QAM) over SUI 1 and SUI 2 Communication Channels. In our research work, we investigated the physical layer performance on the basis of bit error rate (BER) and signal to noise ratio (SNR). The simulation results of estimated Bit Error Rate (BER) displays that the implementation of wavelet transformation is highly effective against the implementation of FFT transformation. The simulation results also showed that WiMAX system that use SUI-2 Channel had Significantly less Bit Error Rate then the Model using SUI-1 Channel. |
Index Terms - CC, IFFT, PSK, QAM, SUI-1, SUI2, SNR, WAVELET, WiMAX |
C itation - RU ISLAM, M ISLAM, F ENAM, H HOMYARA. "Performance Comparison of SUI Communication Channel with Wavelet Implemented WiMAX Communication System." International Journal of Computer Networks and Communications Security 5, no. 8 (2017): 165-170. |
The Analysis of Job Satisfaction Influence And Organizational Commitment towards Turnover Intentions Moderated By Person-Organization Fit |
Pages: 171-180 (10) | [Full Text] PDF (241 KB) |
CP Asri, A Subyantoro |
Universitas Pembangunan Nasional Veterann Yogyakarta, Department of Management |
Abstract - Person-Organization fit (P-O Fit) is widely defined as the compatibility between the organization values and the values of individual. Among all of these factors are, the personal values which are compatible with the organization, the organizational goals that fit the purpose of personal values, the organization personality that reflects the personality of selves, and the values and the organization culture that are align with the appreciated things in life. While for the organizations, it is to be able to influence the outcome such as the organizational commitment, the job satisfaction, and the turnover intention. This research explores the influence of moderation of person-organization fit on the influence between the organizational commitment, job satisfaction, and the turnover intention. This study involved 100 representative samples. The analysis shows that job satisfaction had negative and significant influence towards the turnover intention. |
Index Terms - Person-Organization Fit, Turnover Intention, Organizational Commitment, Work Satisfaction |
C itation - CP Asri, A Subyantoro. "The Analysis of Job Satisfaction Influence And Organizational Commitment towards Turnover Intentions Moderated By Person-Organization Fit." International Journal of Computer Networks and Communications Security 5, no. 8 (2017): 171-180. |
Big Data: Concepts, Approaches and Challenges |
Pages: 181-187 (7) | [Full Text] PDF (335 KB) |
LI Bagiwa |
Department of Computer Science, College of Science and Technology, Hassan Usman Katsina Polytechnic P.M.B. 2052, Katsina, Nigeria |
Abstract - These days, many people in the information technology world and in corporate boardrooms are talking about “Big Data.” Many believe that, for organizations that get it right, Big Data will be able to unleash new organizational capabilities and value. But what does the term “Big Data” actually entail, and how will the insights it yields differ from what managers might generate from traditional analytics? This paper presents an overview of Big Data and highlights different types of Big Data analytics as well as the concepts and approaches to their implementation. It serves as a starting point for individuals and organizations, who are interested in this technology. The Big data challenges discussed are Scale, Performance, Continuous Availability, Workload Diversity, Data Security, Manageability and Cost. |
Index Terms - Big Data, Big Data Concepts, Big Data Technologies, 3Vs, Big Data Challenges |
C itation - LI Bagiwa. "Big Data: Concepts, Approaches and Challenges." International Journal of Computer Networks and Communications Security 5, no. 8 (2017): 181-187. |