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Journal : Indonesian Journal of Electrical Engineering and Computer Science

Evaluation of Power Minimization for Routing Protocol and Multicast Networks Shabir Ahmed mir; T Padma
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp299-301

Abstract

In this paper explore the scenario of wireless multicast with a single source and multiple relay that together convey consecutively refined sources to multiple receiver. Joint source-channel coding (JSCC) protocol is proposed aimed at mitigating the complexity and difficulty in signal synchronization in multicast taking end-to-end mean cube error deformation  as the quality of service measure the problems of JSCC communication are formulated to minimize the total power utilization where both relay selection and power allocation at the base station (BS) and all the relays are jointly determined  to solve the formulated problem that is nonetheless nonlinear in nature a two-step iterative algorithm is investigated for power allocations at all transmitters where a in order quadratic programming method is developed into find a strict local minimum. To reduce the computation complexity a heuristic algorithm for relay selection is presented. Case studies are conducted to verify the proposed formulations and solution methods.
Review About Various Satellite Image Segmentation Shabir Ahmed Mir; T. Padma
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp633-636

Abstract

In this paper, a review about different algorithm is proposed efficiently to segment the satellite images. Segmentation of Image is one of the promising and active researches in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image. There are various segmentation techniques are available. Fuzzy C Means (FCM), Expectation Minimization (EM) and K-Means algorithm is developed to estimate parameters of the prior probabilities and likelihood probabilities. Finally Peak Signal to Noise Ratio (PSNR) is calculated for all the algorithms and reviewed.