Mazlina Abdul Majid

A REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEM

Sign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: (1) computer vision-based gesture recognition, in which a camera is used as input and videos are captured in the form of video files stored before being processed using image processing; (2) approach based on sensor data, which is done by using a series of sensors that are integrated with gloves to get the motion features finger grooves and hand movements. Different of sign languages exist around the world, each with its own vocabulary and gestures. Some examples are American Sign Language (ASL), Chinese Sign Language (CSL), British Sign Language (BSL), Indonesian Sign Language (ISL) and so on. The structure of Indonesian Sign Language (ISL) is different from the sign language of other countries, in that words can be formed from the prefix and or suffix. In order to improve recognition accuracy, researchers use methods, such as the hidden Markov model, artificial neural networks and dynamic time warping. Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. The main objective of this study is to review the sign language recognition methods in order to choose the best method for developing the Indonesian sign language recognition system.

SPLBA: An interaction strategy for testing software product lines using the Bat-inspired algorithm

Software product lines (SPLs) represent an engineering method for creating a portfolio of similar software systems for a shared set of software product assets. Owing to the significant growth of SPLs, there is a need for systematic approach for ensuring the quality of the resulting product derivatives. Combinatorial t-way testing (where t indicates the interaction strength) has been known to be effective especially when the number of products features and constraints in the SPLs of interest are huge. In line with the recent emergence of Search based Software Engineering (SBSE), this article presents a novel strategy for SPLs tests reduction using Bat-inspired algorithm (BA), called SPLBA. Our experience with SPLBA has been promising as the strategy performed well against existing strategies in the literature.

A study in data security in cloud computing

The vision of 21st century computing is that users can access Internet services over lightweight portable devices rather than via variants of the traditional desktop computer. Consequently, users will have no interest in large, powerful machines. How, then, will computing power be provided? The answer to this question lies in cloud computing. Cloud computing is a recent trend in IT in which computing power and knowledge are moved away from the desktop and desktop PCs into giant datacenters. In the cloud computing paradigm, applications are delivered as services over the Internet. The key driving forces behind cloud computing are the presence of broadband and wireless networking, falling storage prices, and progressive enhancements in Internet computing software packages. Cloud service shoppers can add additional capabilities at peak demand, reduce prices, experiment with new services, and remove unessential capabilities. Service suppliers can increase utilization via multiplexing and allow for larger investments in software packages and hardware.

Green information technology system practice for sustainable collaborative enterprise: A structural literature review

Green information technology and information system (ITIS) refer to sustainable practices that seek to prevent environmental pollution and attain sustainable development in collaborative enterprise (CE). By implementing green ITIS practices, collaborative enterprise can reduce the amount of energy used; decrease high cost incurred in their business process and also care for the long time sustainability of the environment and humanity. Therefore, the purpose of this research paper is to a carryout a structural literature review approach to review existing techniques applied to achieve sustainability and standards deployed to assist practitioners in implementing and diffusing green practices in CE. Finding from this review indicates that previously applied techniques and standards lacks the capability to support IT practitioners in making green decisions on how to implement and adopt sustainable practice in collaborative enterprise.

Big Data prediction framework for weather Temperature based on MapReduce algorithm

Weather is the most critical for human in many aspects of life. The study and knowledge of how weather Temperature evolves over time in some location or country in the world can be beneficial for several purposes. processing, Collecting and storing of huge amounts of weather data is necessary for accurate prediction of weather. Meteorological departments use different types of sensors such as temperature, humidity etc. to get the data. The sensors volume and velocity of data in each of the sensor make the data processing time consuming and complex. This project aims to build analytical Big Data prediction framework for weather temperature based on MapReduce algorithm.

Agent-based Big Data Analytics in retailing: A case study

The advent of social networks and the Internet of Things have created massive data sets with huge and complex structures. Thus, new technology for storage, analysis, and pattern visualization must be developed for further processing. Such data sets are appropriately termed as “Big Data.” Big data Analytics is concerned with exposing and visualizing hidden patterns, as well as with analyzing the knowledge that is produced to facilitate decision making. In retailing, analyzing the massive data generated from business transactions is crucial to enhancing the insights of vendors into consumer behaviors and purchases, thus providing them an advantage in decision making. The capability to extract value from big data is a relevant issue, but the process is difficult as the volume and velocity of data increase. As a result, traditional business intelligence methods become inadequate. Consequently, we propose an agent-based paradigm in this study to facilitate the use of Big Data Analytics in retailing. The paradigm exploits agent characteristics such as autonomy, pro-activity, and intelligence in performing data analytics processes. We also review the background of the situation and discuss the characteristics, properties, applications, and challenges of integrating Big Data with multi-agent systems in retailing.

Estimating the efficiency of Information Technology for Domain-Specific Mathematical Modelling

The paper analyses the efficiency of the Information Technology (IT) for Domain-Specific Mathematical Modelling (DSMM). IT DSMM was developed to meet the shortcomings of the IT for Domain-Specific Modelling (DSM). IT DSMM allows us to develop metamodels in the different mathematical semantics and thus to increase the level of adequateness of models to the modelled domains. It also reduces an amount of operations needed for the development of metamodels and models of software systems. The optimization problem of choosing the most effective IT by selection and comparison of the multiple features inherent to DSM, DSMM and GPM (General Purpose Modelling) is solved.

Legibility of Web Page on Full High Definition Display

This paper explored the impact of legibility on full high definition (Full-HD) liquid crystal display (LCD) for video display terminal (VDT). A total of 117 participants were tested for legibility of 13 colour combinations based on more than 90- year-old Le Courier Table of Legibility. The participants first completed a survey online, then they were presented to a text designed using Wilkins Rate of Reading Test. The text is seeded with spelling errors in some of the words. The Participants then counted the number of words that have spelling errors, and recorded it to measure the legibility of the colour combinations. The results proved that Le Courier table of legibility is not suitable with the Full-HD LCD.

Case Based Reasoning for Green Information Systems Infusion and Assimilation among IT Professionals in University Campuses

Information Technology (IT) usage in university campuses consume enormous amount of power and incur other costs in cooling and related operations. Currently, universities are infusing environmental friendly initiatives in their campus. However, IT professionals in most universities are still not sure how to infuse and assimilate environmental friendly practices. Hence, Green Information Systems (IS) is suggested as the utilization of technologies and systems for a Greener and more sustainable planet. Accordingly, this study carried out a review on existing Green IS practices and further proposes a decision support framework based on Case Based Reasoning (CBR) technique. The proposed framework utilizes CBR to support the decision making of IT professionals in infusing and assimilating Green IS within university campuses. Findings from this study show how the framework utilizes CBR to support IT professionals in assimilating Green IS lifecycle and infusing Green IS determinants. Furthermore, findings from this study show how IT professionals can Green their university campuses. Moreover, this research study would also be of interest to data and knowledge management community as well as environmental scientists and sustainability researchers.

Green information technology adoption towards a sustainability policy agenda for government-based institutions: An administrative perspective

Purpose The purpose of this study is to identify the key Green information technology (IT) components needed to be considered by government-based institutions and to develop a Green policy framework based on the identified Green IT components to facilitate government-based institutions achieve sustainability. Design/methodology/approach The Green policy framework and associated propositions are developed to facilitate government-based institutions achieve sustainability. In addition, a case study approach was adopted to verify the proposed framework based on data collected from open-ended interviews and sustainability report documents from two government-based institutions in Malaysia. Furthermore, the collected data were analyzed based on content analysis using descriptive and narrative method to present the findings of Green IT components adopted in the selected case studies. Findings Findings show that sustainability considerations are increasingly being deliberated in institutions. Moreover, finding from the analyzed data also indicates that there is an increased interest towards implementation of Green IT initiatives for developing, operating and usage by practitioners and staff within government-based institutions. Research limitations/implications Findings from this study suggest that the Green policy framework components have implications to support only government-based institutions address environmental, social and economic-related issues. Practical implications The developed Green IT components serve as robust indicators or constructs to measure management of Green IT initiatives currently being implemented and thereby provide a framework for sustainability committee members to benchmark their current Green IT practice. Social implications This study provides an agenda to guide government-based institutions achieve sustainability goals. Accordingly, government-based institutions can adopt the framework’s components to evaluate their progress, hence improving their target of attaining sustainability. Besides, this research provides an approach for assessing current practices adopted in government-based institutions against the Green IT components. Originality/value The originality of this study is attributed to the fact that this study presents Green IT policy framework to be considered by government-based institutions in achieving sustainability. The framework provides an agenda to simultaneously consider all three dimensions of sustainability the people, planet and profit (social, environment and economic). Moreover, this is one of the first studies to explore Green IT practices in government-based institutions.