Thursday, October 19, 2017
   
Text Size
Login

Journal of Information and Communication Technology (JICT) Vol. 12, 2013

DYSLEXIC CHILDREN’S READING APPLICATION: DESIGN FOR AFFECTION
1Husniza Husni, 2Zulikha Jamaludin and 3Fakhrul Anuar Aziz
 
1&2School of Computing
 
3School of Multimedia Technology and Communication
UUM College of Arts and Sciences
Universiti Utara Malaysia
06010 Sintok, Kedah, Malaysia
Corresponding author: 1husniza@uum.edu.my
 
ABSTRACT FULL TEXT
This article presents an interaction design model which considers the affective dimension for a reading application for dyslexic children. The research on the design model for the reading tutor was motivated by the need to offer dyslexic children with an effective and fun learning process. It acknowledges the challenge in designing an acceptable interaction design (IxD) model considering the differences in reading style, preference, and habits of dyslexics. The model was developed based on existing theoretical models combined with the findings from observations and unstructured interviews conducted involving 28, 7 to 14 year old, dyslexic children. A goal-directed design is adopted as the methodology to design such a model. The model’s effectiveness and usefulness is now being tested in a special class for dyslexic children. It is hoped that the outcome could be used to further develop guidelines and standards in designing applications for users with specific impairments.
 
Keywords: Interaction design, automatic reading tutor, affective engineering, dyslexic children.
 

 
EXPLORING USEFULNESS OF CRM AND IT IN MALAYSIAN HOTEL INDUSTRY: A QUALITATIVE APPROACH
1Mohamad Ghozali Hassan, 2Fawad Hussain and 3Mihraj Begum Saibu Rahman
1School of Technology Management & Logistics
UUM College of Business, Universiti Utara Malaysia,
06010 Sintok, Kedah, Malaysia
 
2Pakistan Air Force, Karachi Institute of Economics and Technology
Karachi, Pakistan
 
3Open University Malaysia, Pulau Pinang Learning Center,
Penang, Malaysia
Corresponding author: 1ghozali@uum.edu.my
 
ABSTRACT FULL TEXT
Today, the hotel industry is deviating from their traditional way of doing business and is now becoming more customers focused aimed at developing a positive and satisfying relationship with their customers. Information technology (IT) is the most significant factor that is helping the management of hotel industry to lower costs, increase operational excellences with profitability and give value to customer’s time. Malaysian hotel industry is based on Malaysian customer, culture involving a specific way of treating customers. The competitive advantage in this industry is based on the time and cost factors, which worries the customer and the hotel management. Information technology has helped the entire industry to prevent the wastage of resources and time by fulfilling optimum customer needs and demands. This paper is an attempt to explore the customer relationship management and IT related issues in three star rated hotels in the state of Penang, Malaysia. This paper would contribute as a useful guide to three star hotels, giving them some valuable information on what the customer expectations are in terms of CRM and IT facilities and if they are duly met then services and operational issues shall not occur. The significance of this case study includes providing a scope for three star rating hotels to improve their IT based activities to influence service quality and reduce the weaknesses, through availing opportunities and to strengthen their position in the industry.
 
Keywords: CRM, customer satisfaction, expectations, loyalty and Malaysian three star hotels.
 

 
ASSIGNMENT OF SPECTRUM DEMANDS BY MERITS VIA ANALYTIC HIERARCHY PROCESS AND INTEGER PROGRAMMING
1Razamin Ramli, 2Faathirah Jamaluddin, 3Engku Muhammad Nazri Engku Abu Bakar, 4Mohamad Yusoff Alias, 5Nor Idayu Mahat and 6Mohd Zaini Abdul Karim
1,2,3,5School of Quantitative Sciences, UUM College of Arts and Sciences
 
6 School of Economics, Finance and Islamic Banking
UUM College of Business, Universiti Utara Malaysia
06010 Sintok, Kedah, Malaysia
 
4Faculty of Engineering, Multimedia University
Corresponding author: 1razamin@uum.edu.my
 
ABSTRACT FULL TEXT
Demand for wireless services is ever increasing due to wireless technology advances, which directly relates to the increasing demand for spectrum bandwidths. Due to the high demand, thus spectrum has become scarce. As a result, spectrum bandwidths have become important and need to be efficiently assigned to potential and demanding service providers. Thus, this paper proposes an integrated approach to solve a spectrum assignment problem. The integrated model is developed to efficiently determine the optimal spectrum assignment for the purpose of satisfying the identified relevant requirements and constraints or criteria. The development of the model has also taken into consideration the situation when the spectrum regulator wishes to choose the best provider or licensee based on merits. For that purpose, suitable weights based on qualitative criteria were obtained via Analytic Hierarchy Process and subsequently used as coefficients in the respective Integer Programming formulation. The integrated optimization model is able to tackle a multi-criteria spectrum problem and then solve the assignment problem by way of maximizing the total efficiency. The results exhibits a more efficient alternative as compared to the existing qualitative approach, as it is able to combine subjective judgments computation with a mathematically formulated approach to produce a systematic and consistent results.
 
Keywords: Spectrum assignment problem, analytic hierarchy process, integer programming, multi-criteria evaluation, integrated approach.
 

 
A METRIC-BASED EVALUATION MODEL FOR APPLICATIONS ON MOBILE PHONES
1Azham Hussain, 2Nor Laily Hashim, 3Nazib Nordin and 4Hatim Mohamad Tahir
1-4School of Computing, UUM College of Arts and Sciences,
Universiti Utara Malaysia
06010 Sintok, Kedah, Malaysia
Corresponding author: 1azham.h@uum.edu.my
 
ABSTRACT FULL TEXT
A number of methods and measures have been used by researchers in software evaluation. Usability metrics is one of the approaches that has been used as a guideline to evaluate the quality of the system in many mobile applications. However, the metrics used for evaluation method keep changing due to new inventions of mobile phones. Thus, there is a need to create a dynamic model for evaluation that can grow together with new inventions and technology. In this paper, a dynamic usability metrics model for evaluation of mobile applications was designed. The model comprises usability goals, questions and metrics for evaluation of applications on mobile phones. To ensure that the model is reliable and effective, a usability study was conducted on two applications installed in different mobile phones. This model proves to be applicable for evaluation of mobile phone applications whereby its questions and metrics can be dynamically changed accordingly to comply with the requirements of the evaluators.
 
Keywords: Usability, goal question metric, mobile application, iPhone, O2 orbit.
 

 
ENHANCED ABC-LSSVM FOR ENERGY FUEL PRICE PREDICTION
1Zuriani Mustaffa, 2Yuhanis Yusof and 3Siti Sakira Kamaruddin
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Corresponding author: 1zuriani.m@gmail.com
 
ABSTRACT FULL TEXT
This paper presents an enhanced Artificial Bee Colony (eABC) based on Lévy Probability Distribution (LPD) and conventional mutation. The purposes of enhancement are to enrich the searching behavior of the bees in the search space and prevent premature convergence. Such an approach is used to improve the performance of the original ABC in optimizing the embedded hyper-parameters of Least Squares Support Vector Machines (LSSVM). Later on, a procedure is put forward to serve as a prediction tool to solve prediction task. To evaluate the efficiency of the proposed model, crude oil prices data was employed as empirical data and a comparison against four approaches were conducted, which include standard ABC-LSSVM, Genetic Algorithm-LSSVM (GA-LSSVM), Cross Validation-LSSVM (CV-LSSVM), and conventional Back Propagation Neural Network (BPNN). From the experiment that was conducted, the proposed eABC-LSSVM shows encouraging results in optimizing parameters of interest by producing higher prediction accuracy for employed time series data.
 
Keywords: Artificial bee colony, least squares support vector machines, levy probability distribution, prediction.
 

 
DETERMINANTS OF TECHNOLOGY ADOPTION AMONG MALAYSIAN SMES: AN IDT PERSPECTIVE
1Thurasamy Ramayah, 2Osman Mohamad, 3Azizah Omar, 4Malliga Marimuthu and 5Jasmine Yeap Ai Leen
1,3,4-5School of Management1,Universiti Sains Malaysia
11800 USM, Penang
 
2Graduate School of Management, Multimedia University
63100 Cyberjaya, Selangor
Corresponding author: 1ramayah@usm.my
 
ABSTRACT FULL TEXT
Traditional competitive advantages such as raw material availability, inexpensive labour and proximity to local markets are fast losing their importance to other factors such as technology adoption. In order to survive, it is imperative that organizations incorporate technology into their daily operations. Still, technological adoption and information and communications technology penetration among the Malaysian SME industry is yet to reach a much desired level. Hence, this paper aims to reveal the factors that drive technology adoption among SMEs in Malaysia using the perceived innovation characteristics outlined in the Innovation Diffusion Theory (IDT). Data was gathered from manufacturing and manufacturing-related services; SMEs scattered throughout the country and analyzed using the partial least squares technique. The analysis revealed that innovation characteristics such as perceived relative advantage, observability and image are positively-related to the adoption of a technology while compatibility and ease of use do not influence adoption. Interestingly, though trialability was found to have a significant impact on adoption, its effect turned out to be a negative one instead of a positive hypothesized relationship. The findings are further discussed and elaborated.
 
Keywords: Small and medium enterprises, SMEs, technology adoption, innovation diffusion theory, partial least squares.
 

 
PROJECTING NAMED ENTITY TAGS FROM A RESOURCE RICH LANGUAGE TO A RESOURCE POOR LANGUAGE
1Norshuhani Zamin, 2Alan Oxley and 3Zainab Abu Bakar
1, 2 Faculty of Science and Information Technology,
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 31750 Tronoh, Perak, Malaysia
 
3Faculty of Computer and Mathematical Sciences,
Universiti Teknologi MARA
40450 Shah Alam, Selangor, Malaysia
Corresponding author: 1norshuhani@petronas.com.my
 
ABSTRACT FULL TEXT
Named Entities (NE) are the prominent entities appearing in textual documents. Automatic classification of NE in a textual corpus is a vital process in Information Extraction and Information Retrieval research. Named Entity Recognition (NER) is the identification of words in text that correspond to a pre-defined taxonomy such as person, organization, location, date, time, etc. This article focuses on the person (PER), organization (ORG) and location (LOC) entities for a Malay journalistic corpus of terrorism. A projection algorithm, using the Dice Coefficient function and bigram scoring method with domain-specific rules, is suggested to map the NE information from the English corpus to the Malay corpus of terrorism. The English corpus is the translated version of the Malay corpus. Hence, these two corpora are treated as parallel corpora. The method computes the string similarity between the English words and the list of available lexemes in a pre-built lexicon that approximates the best NE mapping. The algorithm has been effectively evaluated using our own terrorism tagged corpus; it achieved satisfactory results in terms of precision, recall, and F-measure. An evaluation of the selected open source NER tool for English is also presented.
 
Keywords: Named entity recognition, information projection, bitext alignment, resource poor language, unsupervised learning, Malay terrorism corpus
 

 
NORMALIZATION OF NOISY TEXTS IN MALAYSIAN ONLINE REVIEWS
1Norlela Samsudin, 2Mazidah Puteh, 3Abdul Razak Hamdan and 4Mohd Zakree Ahmad Nazri
1&2Faculty of Computer and Mathematical Science,
Universiti Teknologi MARA Terengganu,
Dungun, 23000, Terengganu, Malaysia
 
3&4Faculty of Information Science and Technology,
Universiti Kebangsaan Malaysia
43600, Bangi, Selangor, Malaysia
Corresponding author: 1norlela@tganu.uitm.edu.my
 
ABSTRACT FULL TEXT
The process of gathering useful information from online messages has increased as more and more people use the Internet and other online applications such as Facebook and Twitter to communicate with each other. One of the problems in processing online messages is the high number of noisy texts that exist in these messages. Few studies have shown that the noisy texts decreased the result of text mining activities. On the other hand, very few works have investigated on the patterns of noisy texts that are created by Malaysians. In this study, a common noisy terms list and an artificial abbreviations list were created using specific rules and were utilized to select candidates of correct words for a noisy term. Later, the correct term was selected based on a bi-gram words index. The experiments used online messages that were created by the Malaysians. The result shows that normalization of noisy texts using artificial abbreviations list compliments the use of common noisy texts list.
 
Keywords: Noisy texts; normalization of noisy texts; artificial abbreviation
 

 
TRANSFORMING NOUN PHRASE STRUCTURE FORM INTO RULES TO DETECT COMPOUND NOUNS IN MALAY SENTENCES
1Suhaimi Abdul Rahman and 2Nazlia Omar
1Software Engineering Department, College of Information Technology
Universiti Tenaga Nasional,Jalan IKRAM-UNITEN
43000 Kajang, Selangor, Malaysia
 
2School of Computer Science,
Faculty of Information Science and Technology
Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Corresponding author: 1smie@uniten.edu.my
 
ABSTRACT FULL TEXT
This paper addresses the process of transforming the noun phrase structure form into a list of rules to detect compound noun words in Malay sentences. Rules are collection of word syntax that are derived from a specific resource (as defined in our study). Comprehension of the concept rule used in a system is important (i.e. using rules to find a list of compound nouns that may exist in a sentence). The noun phrase frame structure is a form that contains a list of noun modifier categories. The list of noun modifier categories is then divided into several sub-categories such as numeral, numeral classifier, appellation, etc. All categories are arranged in sequence based on correct grammar. The noun phrase frame structure is then used to analyse the sentence. The words in the sentence will be arranged according to their suitable noun modifier category as defined by the noun phrase frame structure. In terms of data requirements, we will only focus on examples of sentences that combine two noun phrases.
 
Keywords: Noun phrase structure form, rules, compound noun, noun modifier category, parts of speech, tokenizer.
 

 
COMPUTER-AIDED SYSTEM FOR DETERMINING INDUSTRIAL MACHINERY OPTIMAL REPLACEMENT PERIOD
1Basil Oluwafemi Akinnuli and 2Simeon Ayodele Babalola
Department of Mechanical Engineering
Federal University of Technology, Nigeria
Corresponding author: 1ifembola@yahoo.com
 
ABSTRACT FULL TEXT
This paper focuses on bridging the gap between age-dependent optimal replacement theory and its industrial applications by identifying and incorporating the criteria considered by field (maintenance) engineers before embarking on industrial machine replacement, into an existing model to make it appropriate industrial-wise. We aim to economically quantify the identified criteria and thereafter integrate them into the weighted average cost of running the machine from the time of its installation to the date of analysis to alleviate the drudgery in using this approach most especially when multiple machines are to be analyzed, the Machine Replacement Analysis Software (MRAS) was developed and its implementation was done using data obtained from a Grinder used for cocoa processing. A curve with polynomial function and coefficient of determination of 0.935 was obtained and this implies replacing the machine after the seventh year of usage.
 
Keywords: Industrial machine, maintenance, economic life, replacement model, criteria.
 

 
RESOURCE ELEMENT-LEVEL DIMENSIONING OF LONG TERM EVOLUTION NETWORKS
Arshed Oudah
Faculty of Manufacturing Engineering
Universiti Malaysia Pahang
26600, Pekan, Pahang
Corresponding author: 1arshed.ump@gmail.com
 
ABSTRACT FULL TEXT
Long Term Evolution (LTE) of Universal Mobile Telecommunications System (UMTS) is the latest cellular technology coined by the third Generation Partnership Project (3GPP) and is currently being deployed worldwide. a crucial step towards the successful deployment scenarios of LTE networks is through the use of accurate budgetary and coverage dimensioning formulas of LTE’s physical air-interface channels and signals to guarantee favourable cell footprint and other capacity targets. In this paper, the total physical downlink resources along with their associated powers are derived and computed. Their corresponding overheads are also presented. The provided formulas serve in various network dimensioning campaigns of the LTE systems.
 
Keywords: Long term evolution, dimensioning, link budget, resource element, control channels, overhead, cell physical resources

Universiti Utara Malaysia Press
 Universiti Utara Malaysia, 06010 UUM Sintok
Kedah Darul Aman, MALAYSIA
Phone: +604-928 4816, Fax : +604-928 4792

All Right Reserved. Copyright © 2010, Universiti Utara Malaysia Press