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Computer Science and Information Technologies (CSIT)
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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 4 Documents
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Search results for , issue "Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT)" : 4 Documents clear
GENETIC ALGORITHM ARTIFICIAL NEURAL NETWORK IN NEAR INFRARED SPECTROSCOPIC QUANTIFICATION Al-Kaf, Hasan Ali Gamal; Alduais, Nayef Abdulwahab; Al-Subari, Musaed
APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

The implantation of a genetic algorithm (GA) in quantitating components of interest in near infraredspectroscopic analysis could improve the predictive ability of a regression model. Thus, this study investigates thefeasibility of a single layer Artificial Neuron Network (ANN) that trained with Levenberg-Marquardt (SLM) coupledwith GA in predicting the boiling point of diesel fuel and the blood hemoglobin using near infrared spectral data. Theproposed model was compared with a well-known model of Partial Least Squares (PLS) with and without GeneticAlgorithm. Results show that the proposed model achieved the best results with root mean square error of prediction(RMSEP) of 3.6734 and correlation coefficient of 0.9903 for the boiling point, and RMSEP of 0.2349 and correlationcoefficient of 0.9874 among PLS with and without GA, and SLM without GA. Findings suggest that the proposed SLMGA is insusceptible to the number of iterations when the SLM was trained with excessive iteration after the optimaliteration number. This indicates that the proposed model is capable of avoiding overfitting issue that due to excessivetraining iteration.
EFFICIENT IMAGE RETRIEVAL THROUGH HYBRID FEATURE SET AND NEURAL NETWORK Arora, Nitin; Ashok, Alaknanda; Tiwari, Shamik
APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

Images are an important part of daily life. The huge repository of digitally existing images cannot be easilycontrolled by any individual. Extensive scanning of the image database is very much essential to search a particularimage from the huge repository. In some cases, this procedure becomes very exhaustive also. As a result, if a count often thousand, lakhs or considerably more images are included in image database, then it may be transformed into atedious and never ending process. Content-based image retrieval (CBIR) is a technique, which is used for retrievingany image. This type of image retrieval procedure is centred on the actual content of image. This paper proposed amodel of hybrid feature set of Haar wavelets and Gabor features and analysed with different existing models imageretrieval. Content based image retrieval using hybrid feature set of Haar wavelets and Gabor features superiors onother models.
AN ENHANCED HYBRID PARETO METAHEURITIC ALGORITHM-BASED MULTICAST TREE ESTIMATION FOR RELIABLE MULTICAST ROUTING IN VANETS Janakiraman, Sengathir
APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

Prompt and reliable data dissemination among the vehicular nodes of the network is indispensable as itsmobility rate and limited coverage characteristics introduce the possibility of frequent topology changes. The effectiveand efficient sharing of critical information in the event of emergency necessitates either direct interaction or RoadSide Units (RSUs)-based vehicular communication in the primitive place. Multicast routing is confirmed to be thesignificant scheme of data transfer since they establish reliable data dissemination between the source and destinationvehicular nodes by estimating an optimal multicast tree. Moreover, QoS-constraint enforced meta-heuristic approachesare considered to be excellent for determining optimal multicast tree under multicasting. An Enhanced Hybrid ParetoMetaheuritic Algorithm-based Multicast Tree Estimation Scheme (EHPMA-MTES) is contributed for reliable multicastrouting. The proposed EHPMA-MTES is confirmed to reduce the cost of transmission by 28% through the minimizationof the multicast tree count formed during the process of multicast routing.
WIRELESS TRANSPORT PROTOCOL VARIANTS FOR COGNITIVE RADIO NETWORKS Let, G Shine; Bala, G Josemin; Magdalene, W.
APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

Scarce wireless resources, lead to development of cognitive radio network as a solution to unlicensed userscommunication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensedusers communication need to change from one frequency band to another band. In this communication paradigm, theperformance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radionetwork. To overcome this, several authors suggested quite a few modifications in the existing wireless transportprotocol for cognitive radio network environment. This paper gives an overview of different transport protocols usedfor unlicensed users? communication in cognitive radio networks.

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