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APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Published by Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer
ISSN : 25282417     EISSN : 25282425     DOI : 10.34306
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology
APTIKOM Journal on Computer Science and Information Technologies is a peer-reviewed international journal that publish original research article, review papers, short communications that will have an immediate impact on the ongoing research in all areas of Computer Science, Informatics, Electronics Engineering, Communication Network and Information Technologies. The journal is published four-monthly (March, July and November) by the Indonesian Association of Higher Education Institutions in Computer Science and Information Technology (APTIKOM).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 1 No 2 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)" : 5 Documents clear
HOLE DETECTION AND HEALING IN HYBRID WIRELESS SENSOR NETWORK Kalwaghe, Samidha N; Dusane, Atul Vasudev
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 2 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

The emerging technology of wireless sensor network (WSN) is expected to provide a broad range of applications, such as battlefield surveillance, environmental monitoring, smart spaces and so on. The coverage problem is a fundamental issue in WSN, which may cause due to low residual energy of nodes or poor installment. But in order to get full coverage of sensing area Coverage problem must be avoided. If the problem is unavoidable the coverage hole must be healed. Current hole healing algorithms uses complicated hole detection strategies like TENT rule. This project seeks to address the problem of hole detection and healing in mobile WSNs by deploying mobile sensors in the network, which is called hybrid sensor network. An enhanced hole detection and healing method (MHEAL) is proposed. MHEAL is a distributed and localized algorithm that operates in two distinct phases. First, is Distributed Hole Detection (DHD) proposed to identify the boundary nodes and discover holes. Second, is hole healing which uses a virtual forces based hole healing approach where only the nodes located at an appropriate distance from the hole and the nodes having maximum energy will be involved in the healing process. Unlike existing algorithms, proposed algorithm uses QURD based node detection and energy efficient Hole healing and thus solves the problem of hole with 100% coverage, minimum node movements and minimum node distance travelled thus giving a cost efficient solution.
BNIMS: BLOCK-BASED NON-ITERATIVE MEAN-SHIFT SEGMENTATION ALGORITHM FOR MEDICAL IMAGES Naik, P. Pedda Sadhu; Gopal, T. Venu
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 2 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

This paper proposed a novel Block based Mean Shift Image Segmentation Algorithm to significantly reduce the computation and improve the segmentation accuracy for high resolution Medical Image. One of the challenging tasks in the image analysis and computer vision area is to correctly classify the pixels as there are no crisp borders among entities in an image. In this proposed methodology, it is observed that the computational complexity of the procedure is diminished by combining the pixels of an image of size MXN into non overlapping image blocks of size 3x3 by eliminating the iterative way of the mean shift procedure. This proposed algorithm shrinks the size of the image by one third of its original image for the computational purpose and then equalizes the number of computations for each new image pixel by constructing links between pixels using their first mean-shift vectors without any iteration process. The accurateness and effectiveness of the proposed methodology is matched with the existing Iterative Mean Shift Algorithm by accomplishing the empherical experiments on the Medical Images (Pathologies Buccales and Eye Retina) composed along with the similarity measures.
ACOUSTIC ECHO CANCELLATION USING COMPUTATIONALLY EFFICIENT ADAPTIVE ALGORITHM TECHNIQUES Shaik, Mastan Sharif; Prasad, K. Satya; Shaik, Rafi Ahamed; Rao, D. Venkata
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 2 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

Several sign based LMS adaptive filters, which are computationally free having multiplier free weight update loops, are proposed for acoustic echo cancellation. The adaptive filters essentially minimizes the mean- squared error between a primary input, which is the echo, and a reference input, which is either echo that is correlated in some way with the echo in the primary input. The results show that the performance of the signed regressor. LMS algorithm is superior than conventional LMS algorithm, the performance of signed LMS and sign- sign LMS based realizations are comparable to that of the LMS based filtering techniques in terms of Average Attenuation and computational complexity.
CONSTRUCTING RELATIONSHIP BETWEEN SOFTWARE METRICS AND CODE REUSABILITY IN OBJECT ORIENTED DESIGN M., Manoj H.; N., Nandakumar A.
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 2 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

The role of design pattern in the form of software metric and internal code architecture for object-oriented design plays a critical role in software en-gineering in terms of production cost efficiency. This paper discusses about code reusability that is a frequently exercised cost saving methodology in IT produc-tion. After reviewing existing literatures towards study on software metrics, we found that very few studies are witnessed to incline towards code reusability. Hence, we developed a simple analytical model that establishes relationship between the design components of standard software metric and code reusability using case studies of three software projects (Customer Relationship Management project, Supply Chain Management project, and Enterprise Relationship Management project). We also testify our proposal using stochastic based Markov model to find that proposed system can extract significant information of maximized values of code reusability with increasing level of uncertainties of software project methodologies.
PATH-LOSS PREDICTION FOR UHF/VHF SIGNAL PROPAGATION IN EDO STATE: NEURAL NETWORK APPROACH O., Ogbeide K.; E. J, Eko Mwenrenren
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 2 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

The aim of this paper is to present and evaluate artificial neural network model used for path loss prediction of signal propagation in the VHF/UHF spectrum in Edo state.Measurement data obtained from three television broadcasting stations in Edo state, operating at 189.25MHz, 479.25MHz, and 743.25MHz, is used to train and evaluate the artificial neural network. A two layer neural network with one hidden and one output layer is evaluated regarding prediction accuracy and generalization properties. The path loss prediction results obtained by using the artificial neural network model are evaluated against the Hata and Walfisch-Ikegami empirical path loss models .Result analysis shows that the artificial neural network performs well as regards to prediction accuracy and generalization ability. The ANN performed better across all performance measures in comparison to the Hata and Walfisch-Ikegami and Line of Sight models in estimating path loss in vhf/uhf spectrum in Edo state.

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