APTIKOM Journal on Computer Science and Information Technologies (CSIT)
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).
Articles
61 Documents
<![CDATA[A RESEARCH SURVEY ON SCHEDULING TECHNIQUES IN LTE-BASED NETWORK AND ITS STATE OF ART ]]>
<![CDATA[K, Srinivasa R]]>;
<![CDATA[A.R2, Hemantha Kumar]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 2 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
Publisher : <![CDATA[APTIKOM Publisher ]]>
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<![CDATA[The growing interest over the mobile based communication has attracted the Long-Term Evolution (LTE)technique which facilitates higher data transmission rates to its dynamic users. The LTE-based network involves withscheduling which governs the better communication at different traffic (large, small, medium) condition. The LTEcaters up network demands and encounters some potential and unreported problems in presence of large traffic withuncertainty of its associated load. Thus, scheduling becomes most essential is must. This manuscript reviews the recentexisting researches with their contribution along with significances and limitations. The paper also contributes inidentify the state of art in research issues to identify the research gap towards scheduling techniques in LTE]]>
<![CDATA[GENETIC ALGORITHM ARTIFICIAL NEURAL NETWORK IN NEAR INFRARED SPECTROSCOPIC QUANTIFICATION ]]>
<![CDATA[Al-Kaf, Hasan Ali Gamal]]>;
<![CDATA[Alduais, Nayef Abdulwahab]]>;
<![CDATA[Al-Subari, Musaed]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[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.]]>
<![CDATA[EFFICIENT IMAGE RETRIEVAL THROUGH HYBRID FEATURE SET AND NEURAL NETWORK ]]>
<![CDATA[Arora, Nitin]]>;
<![CDATA[Ashok, Alaknanda]]>;
<![CDATA[Tiwari, Shamik]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[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.]]>
<![CDATA[AN ENHANCED HYBRID PARETO METAHEURITIC ALGORITHM-BASED MULTICAST TREE ESTIMATION FOR RELIABLE MULTICAST ROUTING IN VANETS ]]>
<![CDATA[Janakiraman, Sengathir]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[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.]]>
<![CDATA[WIRELESS TRANSPORT PROTOCOL VARIANTS FOR COGNITIVE RADIO NETWORKS ]]>
<![CDATA[Let, G Shine]]>;
<![CDATA[Bala, G Josemin]]>;
<![CDATA[Magdalene, W.]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 3 No 3 (2018): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[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.]]>
<![CDATA[MULTI-FUNCTIONING HOME BOT WITH INTEGRATED FEEDBACK SYSTEM ]]>
<![CDATA[Satapathy, Lalit Moha]]>;
<![CDATA[Bastia, Samir Kumar]]>;
<![CDATA[Mohanty, Nihar]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 4 No 1 (2019): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[Now-a-days, automation in home is becoming more popular. It always remains important to consideraccuracy and speed in a said job. This paper is addressing an Arduino Mega micro-controller based Home Bot,which has several aspects like cleaning of the floor and on-off switches as per requirement, theft detection andmonitoring. The ability of the proposed model is auto pathfinding when ever hurdles appear and auto detection whena trouble appears inside the Home Bot. It is verified that the cost of this module is around 21%, compared to therobots available in the market having features of only floor cleaning.]]>
<![CDATA[CERVICAL CANCER RISK FACTORS: CLASSIFICATION AND MINING ASSOCIATIONS ]]>
<![CDATA[Islam, Arif- Ul-]]>;
<![CDATA[Ripon, Shamim H.]]>;
<![CDATA[Bhuiyan, Nuruddin Qaisar]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 4 No 1 (2019): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[Women of all over the world suffer from a common cancer, named Cervical cancer. Cervical cancer cellsgrow slowly at the cervix. This cancer can be avoided if it is recognized and handled in its first stage. Now it is a keychallenge for Medical experts to identify such cancer before it develops extremely. Nowadays, data mining modelsare popularly used to extract hidden patterns from huge medical dataset. This paper introduces data miningtechinques for classification and finding associations in order to detect Cervical cancer at early stage. Afterpreprocessing, the dataset was tested on Decision Tree, Random Forest, Logistic Model Tree and Artificial NeuralNetwork. These methods achieve considerable success in case of both K-fold cross validations and randomly splitdataset. Association rules has been established for detecting comparatively riskier factors which are moreresponsible for cancer development. The proposed methodology can help Medical experts to conduct their researchon Cervical cancer.]]>
<![CDATA[ASSESSMENT OF FOG AND RAIN INDUCED-ATTENUATION ON TERRESTRIAL FSO LINKS ]]>
<![CDATA[Ajewole, M. O.]]>;
<![CDATA[Owolawi, P. A.]]>;
<![CDATA[Ojo, J. S.]]>;
<![CDATA[Adetunji, R. M.]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 4 No 1 (2019): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
Publisher : <![CDATA[APTIKOM Publisher ]]>
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<![CDATA[Launching into the next generation of wireless communication network (5G network) requires secure highdata rate, high speed and huge bandwidth links. With the tremendous increase in broadband users, the existingcommunication systems such as radio frequency (RF) and microwave links cannot meet up with the challenges due totheir link interference and low bandwidth. A current technology that promises such requirements and more is FreeSpace Optical (FSO) communication. The FSO basically involves the transmission of signal-modulated opticalradiation from a transmitter to a receiver through the atmosphere or outer space. It is designed to complement thetraditional fibre optical communication links. However, location-variant atmospheric channel degrades the qualityand performance of an FSO system under severe atmospheric conditions. This paper attempts to assess both fog- andrain-induced attenuation on the performance of FSO link in a terrestrial terrain using measured visibility and rainrate data at Akure, Nigeria. 5-year (2012-2016) archived visibility data and measured rain rate data of 1-minuteintegration time obtained from Nigerian Meteorological Agency (NIMET) and the Department of Physics, FederalUniversity of Technology, Akure respectively, were used to compute the fog- and rain-induced specific attenuationsusing Kruse and Carboneur models. The performance of the FSO system was analyzed through link margin by usingthe parameters of a commercial optical transceiver, Terescope 5000. Findings from this work will be useful for FSOsystem design in the area.]]>
<![CDATA[MATHEMATICAL DOCUMENT RETRIEVAL SYSTEM BASED ON SIGNATURE HASHING ]]>
<![CDATA[Dhar, Sourish]]>;
<![CDATA[Roy, Sudipta]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 4 No 1 (2019): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[Scientific documents and magazines involve large number of mathematical expressions and formulas alongwith text. The continuous growth of such documents necessitates the requirement of developing specialized tools andtechniques, which could handle and analyse mathematical expressions and formulas. Mathematical expressions andformulae are highly structured and quite different from traditional text. Due to which conventional text retrievalsystem performs poorly in retrieving scientific documents based on mathematical expression formulated as a query.Mathematical information retrieval is concerned with finding information in documents that include mathematics. Toaddress the challenges posed by mathematical formulae as compared to text, this paper aims to construct a mathaware search engine, which can retrieve relevant scientific documents based on a mathematical query. A novelsignature based hashing scheme to index raw mathematical web documents is proposed in this paper, which can alsotake mathematical notational equivalences into account. The proposed system demonstrates better precision andstability of the ranked results when compared with other related state-of-the-art math aware search engines.]]>
<![CDATA[A SECURE AND RELIABLE METHOD TO PROTECT USB DATA ]]>
<![CDATA[Sebastian, Alycia]]>;
<![CDATA[Sankar, K. Siva]]>
<![CDATA[ APTIKOM Journal on Computer Science and Information Technologies Vol 4 No 2 (2019): APTIKOM Journal on Computer Science and Information Technologies (CSIT) ]]>
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<![CDATA[With technology advancement people have started using different type of memory devices for storing dataand keeping it secure has become concern in today?s world. Universal Serial Bus (USB) flash drives are leadingportable storage device for storage and easy transfer of data from one computer to another. The usage of USB hasgrown exponentially and without security the data on the disk is at risk. Nowadays USB manufacturers offer passwordprotection and fingerprint authentication to secure the USB data. In this paper, USB is devised as a highly securedportable boot medium with fingerprint authentication to secure the data.]]>
