Utusan Melayu Company, Qalam Press Company and the Department of Islamic Affairs, Prime Minister’s Department are the main contributors to the translation discipline of religious texts in Malaysia. Abdullah Basmeih has worked with these institutions as a translator. His purpose is to assist the translation of religious writings from Al-Muṣawwar magazine and multi-disciplinary religious texts, among them sīrah, stories of the Prophet’s companions, ʿaqīdah, ‘Ibādah, social and politics. Sheikh Abdullah Basmeih migrated to Singapore in 1939 and worked with Qalam Press (...) Company from 1950 to 1962 as assistant author for monthly magazines published by Qalam Press. Within the 12-year period he worked in Qalam Press, he had successfully translated more than 30 books on the life of Prophet Muhammad, his wives, children and companions. Abdullah Basmeih then returned to Malaysia. During that time, his great work was produced, which is Tafsir Pimpinan Ar-Rahman Kepada Pengertian Al-Quran in 1968 in Jawi edition, and a Roman edition was published in 1980 by the Department of Islamic Affairs, Prime Minister’s Department. Another great work by him was Mastika Hadis, which is a translation of ḥadīth collection, produced in three volumes, also published by Prime Minister’s Department on 1973. Both works become important materials to enhance the quality of lives of Muslims in Malaysia. Therefore, this study looks at his service and contributions with Utusan Melayu Company, Qalam Press Company and Prime Minister’s Department in producing translations of academic texts. This literary study is conducted to investigate and analyse the translated texts by him in knowledge hub in reality and virtual. (shrink)

The continuous development of information communication technology facilitates the conventional grid in transforming into an automated modern system. Internet-of-Things solutions are used along with the evolving services of end-users to the electricity service provider for smart grid applications. In terms of various devices and machine integration, adequate authentication is the key to an accurate source and destination in advanced metering infrastructure (AMI). Various protocols are deployed to lead the identification between two parties, which require high computation time and communicational bit (...) operations for system development. Therefore, Kerberos-based authentication protocols were designed in this study with the assistance of elliptic curve cryptography to manage the mutual authentication between two parties and reduce the time and bit operations. The protocols were evaluated in a widely adopted tool, AVISPA, which builds an understanding of the proposed protocol and ensures mutual authentication without unauthorized knowledge. In addition, upon comparing security and performance assessments to the current schemes, it was found that the protocol in this study required less time and bits to transmit information. Consequently, it effectively provides multiple security features making it suitable for resource constraint smart meters in AMI. (shrink)

The COVID-19 pandemic has raised challenges in dealing with information sharing by the public and the authorities. There are two categories of information sharing on social media that are believed to be potentially problematic and unethical: the sharing of personal information of patients and the sharing of fake news or false information. We present a discussion on how the response to the COVID-19 pandemic in Malaysia can be ethically handled in terms of information sharing. It is recommended that the public (...) should cultivate the basic skills to evaluate information and determine its validity. On the other hand, the authorities should refrain from placing the blame on patients to avoid them from being stigmatized. It is crucial that all parties are aware of their ethical duty to ensure only ethical and valid information gets shared on social media. (shrink)

Designing a data-responsive system requires accurate input to ensure efficient results. The growth of technology in sensing methods and the needs of various kinds of data greatly impact data fusion (DF)-related study. A coordinative DF framework entails the participation of many subsystems or modules to produce coordinative features. These features are utilized to facilitate and improve solving certain domain problems. Consequently, this paper proposes a general Multiple Coordinative Data Fusion Modules (MCDFM) framework for real-time and heterogeneous data sources. We develop (...) the MCDFM framework to adapt various DF application domains requiring macro and micro perspectives of the observed problems. This framework consists of preprocessing, filtering, and decision as key DF processing phases. These three phases integrate specific purpose algorithms or methods such as data cleaning and windowing methods for preprocessing, extended Kalman filter (EKF) for filtering, fuzzy logic for local decision, and software agents for coordinative decision. These methods perform tasks that assist in achieving local and coordinative decisions for each node in the network of the framework application domain. We illustrate and discuss the proposed framework in detail by taking a stretch of road intersections controlled by a traffic light controller (TLC) as a case study. The case study provides a clearer view of the way the proposed framework solves traffic congestion as a domain problem. We identify the traffic features that include the average vehicle count, average vehicle speed (km/h), average density (%), interval (s), and timestamp. The framework uses these features to identify three congestion periods, which are the nonpeak period with a congestion degree of 0.178 and a variance of 0.061, a medium peak period with a congestion degree of 0.588 and a variance of 0.0593, and a peak period with a congestion degree of 0.796 and a variance of 0.0296. The results of the TLC case study show that the framework provides various capabilities and flexibility features of both micro and macro views of the scenarios being observed and clearly presents viable solutions. (shrink)

This volume of Eurasian Studies in Business and Economics includes selected papers from the 24th Eurasia Business and Economics Society (EBES) Conference, held in Bangkok. The theoretical and empirical papers gathered here cover diverse areas of business and management from different geographic regions; yet the main focus is on the latest findings on evolving marketing methods, analytics, communication standards, and their effects on customer value and engagement. The volume also includes related studies that analyze sustainable consumer behavior, and business strategy-related (...) topics such as cross-border restructuring, quality management standards, and the internationalization of SMEs. (shrink)