International Journal of Informatics and Communication Technology (IJ-ICT)
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Value-Driven Approach for Project Success and Change Management in Malaysian Institutions of Higher Learning (IHL)
Get PDFAs a project is a lifeline of any organization, the critical success factors (CSFs) affect the success of the project in project management. This paper provides the literatures and reports as the concept paper which have been made by various researchers regarding the project success factors and change management. The critical success factors which have been applied and brought success to the different organizations will be elaborated in order to identify the factors are applied in Malaysian Institutions of Higher Learning (IHL). Furthermore, the value-driven relationship which consider three project elements, the Business, Project Management Office and Project Team have to be well understood. Lastly, the proposed framework of how the 3 elements mentioned above can lead to the successful in project development implementation which create competitive advantage, will be discussed as for the next step to conduct the empirical study.DOI: http://dx.doi.org/10.11591/ij-ict.v2i2.335
Automated Online Playlist Generation System
Get PDFThis paper presents an online playlist management system designed to provide easy and intuitive management of audio and video playlists. Playlists can be uploaded, combined, downloaded, but also created online and stored for listening. Sharing of playlists is also enabled. State of the art AJAX technologies have been used to developed a fast and intuitive user interface. Automatic online playlist generation based on recognizing local songs and automated Youtube searching and queuing is also part of the system.DOI: http://dx.doi.org/10.11591/ij-ict.v2i3.566
In Cryptanalysis and Improvement of the Zhu et al.'s Authentication Protocol
No full textZhu et al. recently have proposed an authentication prpotocol forRFID systems. In this paper, we analyze its security and explain itssecurity drawbacks. More precisely, we present traceability attackagainst this protocol. In addition, we propose an improvement on theZhu et al.'s to resists these security drawbacks. Finally, weinvestigate the formal security of the improved protocol based on theBAN logic method.DOI: http://dx.doi.org/10.11591/ij-ict.v2i2.2077
Performance Analysis of Bit-Error-Rate and Channel Capacity of MIMO Communication Systems over Multipath Fading Channels
Get PDFIn wireless communication systems (WCS), channel characteristics are random and unpredictable. The resultant effect of the randomness is the multipath effect that leads to multipath fading. Multipath fading is a major contributor to the unreliability of wireless communication links. In this paper, Multiple-Input, Multiple-Output (MIMO) schemes were investigated in mitigating the effect of signal fading. Space-time coded MIMO-OFDM was developed to enhance the performance of the WCS. The performance of the developed space-time coded MIMO-OFDM over both flat and frequency selective channels were compared with that of conventional WCS. The simulation results show that the space-time coded MIMO-OFDM considerably reduced the effect of multipath fading in WCS with improved bit error rate (BER) value.DOI: http://dx.doi.org/10.11591/ij-ict.v2i2.201
Query Dependent Ranking for Information Retrieval Based on Query Clustering
Get PDFRanking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’ queries often vary a lot from one to another. In this paper we take into account the diversity of query type by clustering the queries. Instead of deriving a single function, this system attempt to develop several ranking functions based on the resulting query clusters in the sense that different queries of the same cluster should have similar characteristics in terms of ranking. Before the queries are clustered, query features are generated based on the average scores of its associated retrieved documents. So, for each query cluster, there will be its associated ranking model. To rank the documents for a new query, the system first find the most suitable cluster for that query and produce the scoring results depend on that cluster. The effectiveness of the system will be tested on LETOR, publicly available benchmark dataset.DOI: http://dx.doi.org/10.11591/ij-ict.v2i1.150
Analysis of Consumer Risk Perception on Online Auction Features
Get PDFThis study examines consumer’s perception related to perceived risk while doing transaction in e-auction system. Previous researches found there are some features in e-auction system recognized unclarity features as they indicate having fraud or cheating. In the online auction environment, perception could be categorized in two types such as privacy and security. This study proposed a conceptual framework based on perceived risks from consumer’s investigation, associated directly with four cost features of e-auction system: payment method, auction fee, bidding fee and third party services that combined with four perceived risk components: performance risk, psychological risk, financial risk, and time risk. Researcher has developed a questionnaire for collecting data from consumer’s who has experience in using e-auction. Through statistical analysis using multiple regressions, this study found that payment method, auction fee, and bidding fee have a positive impact on perceived risk. However, third party services have a significant effect upon consumer perceived risk on financial risk but not significant effect to time risk. Furthermore, the online auction features is directly related to reducing consumers' risk perception. As a summary, online auction features associated with financial play a crucial role in reducing consumers' perceived risk in online auction transactions.DOI: http://dx.doi.org/10.11591/ij-ict.v2i2.252
Botnet Prevention Strategies for Social Network Users: Cases and Remedies
Get PDFA Botnet is a collection of computers infected with malicious code that use FTP, TFTP, and HTTP protocol based services for infecting the computers. They keep on spreading till a desired strength of Botnet is assembled. Since social networking users have inclination to grow the Social Networks, a poorly designed social networking website can have some loop holes which could invoke a Botnet to spread around the users connected to it. In this paper attempt is made to elaborate assimilation of social networks and to show how they can turn into Botnet. This study is based on the analysis of spam, Internet blogs, newsgroups & Cases for converging into conclusionsDOI: http://dx.doi.org/10.11591/ij-ict.v2i1.181
Demonstration of Helical Antenna Stability Beyond C-Band Frequency
Get PDFThe paper demonstrates design of helical antenna to achieve stable frequency response and impedance matching beyond C-band microwave frequency. An impedance matching cavity is developed for excitation of higher order modes along with the fundamental mode in the helical antenna. Triple frequency bands are resonated by loading the designed helical antenna inside the cavity and a dual band response is realized by introducing variation in feed pin height with an incremental offset of 0.1λ to the initial height which is taken as 0.2λ. The broadband gain for all the designs and a detail analysis of modes along the helical antenna loaded in rectangular cavity is reported. A highest measured bandwidth of 5.4 GHz and a peak gain of 10.65 dB is obtained. The antenna being compact and conformal in design may find its application for terrestrial, aerospace communication and personal wireless communication.DOI: http://dx.doi.org/10.11591/ij-ict.v2i3.486
Web-Based Solution for Mapping Application using Open-Source Software Server
Get PDFWeb GIS is an advance technology to manage and display all geographical locations on the earth surface. This paper deals with road analysis, to find the shortest path of route etc. so that these types of information can be displayed using Geographical Information System (GIS) technique. The approach combines both spatial and non-spatial data. This paper highlight, the suitability to handle spatial and non-spatial attributes of road features and to display and publish in web based GIS platform. This also commences the suitable software server. This paper deals with Web mapping application using different free tools and Open Source Software server (FOSS) and provides the free server solutions. Open-source software has the advantages of low cost, high stability and security, so it is preferred by the small and medium-sized Web GIS project. In this paper Web based Web-GIS architecture is described and implemented using open source Web-GIS tools like GeoServer, PostGIS and OpenLayers. An area of Bhopal City, M.P. Nagar has been chosen and road network was created in Q-GIS and published in WebGIS Server solutions. This has been used for centralized visualization of geospatial data present in various spatial databases located in different locations. This may have help to developing countries which cannot afford to use such solution. Hence there was a necessity of an open source Web-GIS application that should be both powerful for visualizing and cost effective.DOI: http://dx.doi.org/10.11591/ij-ict.v1i2.149
Using Naïve Bayes and Bayesian Networkfor Prediction of Potential Problematic Cases in Tuberculosis
Get PDFBoth Data Mining techniques and Machine Learning algorithms are tools that can be used to provide beneficial support in constructing models that could effectively assist medical practitioners in making comprehensive decisions regarding potential problematic cases in Tuberculosis (TB). This study introduces two machine learning techniques which are Naïve Bayes inductive learning technique and the state of the art Bayesian Networks. These two techniques can be used towards constructing a model that can be used for predicting potential problematic cases in Tuberculosis. To construct a model, this study made have use of data collected from an Epidemiology laboratory. The volume of data was collated and divided into two data sets which are the training dataset and the investigation dataset. The model constructed by this study has shown a high predictive capability strength compared to other models presented on similar studies.DOI: http://dx.doi.org/10.11591/ij-ict.v1i2.142