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  • Open Access

    ARTICLE

    The Essence of Accommodating Older Adults into the Social Care Sector in Malaysia

    Halimatus Sakdiah Minhat1,2,*, Hazwan Mat Din2, Raja Nurzatul Efah Raja Adnan2

    International Journal of Mental Health Promotion, Vol.23, No.3, pp. 409-416, 2021, DOI:10.32604/IJMHP.2021.015526

    Abstract Population ageing puts pressure on the workforce and increase the demands for aged workforce. The demographic shifts have made the issue of healthier workers, especially those of advanced age and physically related job scopes, a fundamental aspect to employing older workers. Hence, this study aimed to explore the best practices to employ older adults into the social care sector. The social care sector was chosen in view of the nature of job and declining demand among younger workers. A qualitative study was conducted involving series of focus group discussions (FGD) with social care workers of long-term care centers in the… More >

  • Open Access

    ARTICLE

    Long-Term Electricity Demand Forecasting for Malaysia Using Artificial Neural Networks in the Presence of Input and Model Uncertainties

    Vin Cent Tai1,*, Yong Chai Tan1, Nor Faiza Abd Rahman1, Hui Xin Che2, Chee Ming Chia2, Lip Huat Saw3, Mohd Fozi Ali4

    Energy Engineering, Vol.118, No.3, pp. 715-725, 2021, DOI:10.32604/EE.2021.014865

    Abstract Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of input variables and ANN model were introduced to obtain the prediction for years 2022 to 2030. Pearson correlation was used to examine the input variables for model construction. The analysis indicates that Primary Energy Supply (PES), population, Gross Domestic Product (GDP) and temperature are strongly correlated. The forecast results by the proposed method (henceforth referred to as… More >

  • Open Access

    ARTICLE

    Exploring Views on Caregiving for Older Persons among Formal Social Care Workers in Malaysia: A Qualitative Study

    Halimatus Sakdiah Minhat1,2,*, Hazwan Mat Din1

    International Journal of Mental Health Promotion, Vol.22, No.4, pp. 283-290, 2020, DOI:10.32604/IJMHP.2020.012679

    Abstract The rapid ageing process experienced by many developing countries, lead issues and challenges to deal with the highly demanding social care sector. This qualitative study aimed to explore the understanding and views of the formal caregivers in Malaysia towards social care for older persons. Series of focus group discussions were conducted among 57 institutional social care workers at four public residential care in Peninsular Malaysia based on the identified zones. Two groups of participants involved, those aged less than 40 years old and 40 years old and above, divided based on the mean age. The interview was transcribed verbatim and… More >

  • Open Access

    ARTICLE

    IoT Technologies for Tackling COVID-19 in Malaysia and Worldwide: Challenges, Recommendations, and Proposed Framework

    Ali Saadon Al-Ogaili1,*, Ameer Alhasan2, Agileswari Ramasamy1, Marayati Binti Marsadek1, Tengku Juhana Tengku Hashim1, Ammar Al-Sharaa3, Mastura Binti Aadam3, Lukman Audah2

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2141-2164, 2021, DOI:10.32604/cmc.2020.013440

    Abstract The Coronavirus (COVID-19) pandemic is considered as a global public health challenge. To contain this pandemic, different measures are being taken globally. The Internet of Things (IoT) has been represented as one of the most important schemes that has been considered to fight the spread of COVID-19 in the world, practically Malaysia. In fact, there are many sectors in Malaysia would be transformed into smart services by using IoT technologies, particularly energy, transportation, healthcare sectors. This manuscript presents a comprehensive review of the IoT technologies that are being used currently in Malaysia to accelerate the measures against COVID-19. These IoT… More >

  • Open Access

    ARTICLE

    Leaf photosynthetic characteristics in eight shaded Malaysian filmy ferns

    Nurul Hafiza MR, KT Yong, N Osman, A Nasrulhaq-Boyce

    Phyton-International Journal of Experimental Botany, Vol.83, pp. 353-361, 2014, DOI:10.32604/phyton.2014.83.353

    Abstract The photosynthetic characteristics of eight Malaysian Hymenophyllaceae filmy ferns from shady habitats were investigated in this study. Chlorophyll content was highest in Trichomanes meifolium, followed by Cephalomanes obscurum, Hymenophyllum serrulatum, H. denticulatum, H. javanicum, H. acanthoides, H. exsertum and H. blandum, with values ranging from 3.3 to 8.6 mg/g fresh weight. Soluble protein content was remarkably high in H. serrulatum, with values of 53 ± 3.50 mg/g, followed by H. denticulatum, H. acanthoides, T. meifolium and the other species. Protein to chlorophyll ratios in the filmy ferns were low as expected, except for in H. serrulatum, H. acanthoides and H.… More >

  • Open Access

    ABSTRACT

    Fuzzy Logic Model on Operation and Control of Hydro-Power Dams in Malaysia

    Dr. V. Ramani Bai, Prof. Mohamad Rom Tamjis

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.4, No.1, pp. 31-40, 2007, DOI:10.3970/icces.2007.004.031

    Abstract The aim of this paper is to develop a fuzzy logic model for deriving optimal operational rules at the macro level for better performance and control of hydro-power generation. System modeling based on conventional mathematical tools is not well suited for dealing with ill-defined and uncertain systems. By contrast, a fuzzy inference system employing "if-then" rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses. In fuzzy logic, diagnosis is based on imprecise data. For instance, when the demand is `very high' i.e. in linguistic term, then its value is important in assisting… More >

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