Malaysian Sign language is the primary means of communication among the deaf-mute community in Malaysia for many years since it was first created in 1998 when the Malaysian Federation of Deaf was first established. Although Malaysian Sign Language is widely used among the deaf-mute community, hearing individuals often have little or no exposure to the usage of sign language due to the lack of pervasive environment for the usage of sign language. There is also a lack of effective mobile learning application that encourages and facilitates the learning of sign language. This creates a communication gap among the deaf-mute community and the hearing individuals. The objective of the project is to design a mobile application that can facilitate the learning of sign language and ultimately bridging the gap between deaf-mute communities and hearing individuals. A survey was carried out to elicit the requirements of potential users. The sample population was drawn from Bahasa Isyarat Malaysia (BIMMFD) Facebook group and Universiti Tenaga Nasional (UNITEN) students. The questionnaire consists of multiple-choice questions, open-ended question and dichotomous questions which can be logically divided into demographic questions, questions on the experience of a participant on sign language, preferred learning methods and the preferred features of the application. The findings show that there is a need for an effective and interactive mobile application for learning sign language. Most of the respondents agreed that video tutorials are their preferred learning method as it is more dynamic than learning via images or books. A majority of the respondents also have no experience in using a sign language learning application due to the lack of availability on the market. Moreover, most of the participants also show interest in using a mobile application in learning Malaysian Sign Language. Some respondents also requested the feature of a built-in dictionary. Thus, the findings validate that SLEM has its demand and potential to provide a more accessible and user-friendly means to learn Malaysian Sign Language. The application has the potential to be commercialized to industries and communities such as sign language learning institutions, the public and individuals who are related to deaf or verbally challenged individuals. This paper provides directions and guidance for further development of this educational mobile application.

With the exponential growth of science, Internet of Things (IoT) innovation, and expanding significance in renewable energy, Smart Grid has become an advanced innovative thought universally as a solution for the power demand increase around the world. The smart grid is the most practical trend of effective transmission of present-day power assets. The paper aims to survey the present literature concerning predictive maintenance and different types of faults that could be detected within the smart grid. Four databases (Scopus, ScienceDirect, IEEE Xplore, and Web of Science) were searched between 2012 and 2020. Sixty-five (n = 65) were chosen based on specified exclusion and inclusion criteria. Fifty-seven percent (n = 37/65) of the studies analyzed the issues from predictive maintenance perspectives, while about 18% (n = 12/65) focused on factors-related review studies on the smart grid and about 15% (n = 10/65) focused on factors related to the experimental study. The remaining 9% (n = 6/65) concentrated on fields related to the challenges and benefits of the study. The significance of predictive maintenance has been developing over time in connection with Industry 4.0 revolution. The paper’s fundamental commitment is the outline and overview of faults in the smart grid such as fault location and detection. Therefore, advanced methods of applying Artificial Intelligence (AI) techniques can enhance and improve the reliability and resilience of smart grid systems. For future direction, we aim to supply a deep understanding of Smart meters to detect or monitor faults in the smart grid as it is the primary IoT sensor in an AMI.

As of recent practice, the majority of current parking systems are still implementing the same traditional method of giving entry to parking visitors which is by giving out a physical ticket. This has caused several problems for mall visitors. Therefore, it is planned to propose a system that can eliminate the problems and provide further improvement to the current systems. Our proposed system named PARKEY is a Ticket-less Parking System that has been designed to provide a new method of parking entry and exiting while implementing new features in the parking system. The objective of the project is to provide a working ticket-less entry and exit system by using a virtual ticket with the help of image recognition technology. With the proposed system being developed, it will help to solve problems that are present in the current systems and give an implementation of a parking system that is up to par with the current standard of technology. Before the system was developed, interviews, observation, and requirement reuse were used as methods to elicit requirements that will provide useful insights for the development of the system. Before the system was developed, interviews, observation, and requirement reuse were used as methods to elicit requirements that will provide useful insights for the development of the system. This includes providing questions to users, making observations to current systems deployed, and studying existing systems ranging from older systems to newer, similar systems. Using the stated elicitation techniques, some findings were gathered and are beneficial to the development of the system. The use of observation to current parking systems helps provides data that will be used as a benchmark for the proposed system to identify how quick the proposed system reaction time should be to provide an on-par performance with the current systems. Interviews with several potential users were done to gather information on their experience from the current parking systems and their opinions on what can be improved and expectations of the proposed system. Other than that, studying the currently available systems gives a better understanding of the drawbacks and limitations of the current systems and provides some functionalities from those systems that can be combined and implemented to benefit the proposed system’s improvement during development. The developed proposed system applies a combined usage of a web application, license plate recognition technology, and an e-wallet based payment system to tackle current parking system problems.

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