The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli

Flooding is a natural disaster that often occurs in Malaysia due to its heavy rainfall distribution. Lately, the exceptional amount of rainfall worsens the flood situation. Many incidents of floods attributed to the extreme downpour caused massive problems. The capability of gauge to receive data of the torrential precipitation is affected and need to be addressed. Thus, the deployment of radar helps to retrieve better rainfall data due to spatial and temporal factors. Radar has the advantages of detecting rainfall amount with higher resolution and covers larger areas. In addition, radar can also access hilly and ungauged areas with the ability to detect cloud movement and lead to estimation of precipitation. However, radar faces several glitches that hinder its accuracy. Among the problem reported on radar application in quantitative precipitation estimation (QPE) is the inappropriate reflectivity-radar (Z-R) equation used to convert reflectivity to rainfall rate. This research focuses on Z-R relationships in radar conversion to obtain rain data especially for Klang River Basin. In order to integrate radar data into any quantitative precipitation estimation, the suitable Z-R equations must be used to produce acceptable results. Z-R relationship is dependent on rain types and spatial location

Balanced scorecard implementation within a Malaysian government-linked company / Norlaila Md Zin … [et al.]

This study attempts to gain insights on the implementation of Balanced Scorecard (BSC) within a Malaysian Government-linked Company (GLC) in line with the government-led GLC Transformation Programme (GLCTP). The GLCTP was introduced by the Malaysian Government to steer the GLCs in becoming regional and international players. The study employs a case study method involving semi-structured interviews, review of documentation and website information. Consistent with the literature, our findings revealed that the case firm indeed implements BSC that has been tailored to its own needs. In this paper, we also suggest that four key factors: top management commitment, information technology (IT), communication, and organisational culture are critically required for GLC firms to successfully implement the BSC

Hydrogen production from gasification of palm kernel shell in the presence of Fe/CeO2 catalysts

Biohydrogen is a renewable source of clean fuel and energy which can be derived from biomass. One of the suitable candidate as a source of biomass is palm kernel shell (PKS). Our initial work shows that biohydrogen may be produced from PKS in the presence of zeolite supported catalysts. The potential of using cerium oxide (CeO2) supported catalysts for the production of biohydrogen from PKS is explored in this work using 2.5 – 10 % Fe loading. The catalysts were prepared by incipient wetness impregnation method and calcined at 500 oC for 16 h. The physicochemical properties of these catalysts were characterized using BET and XRD. The catalysts were tested in dry and steam gasification of PKS at 700 oC using PKS feeding rate of 2 g h-1 under N2 atmosphere with biomass to catalyst ratio of 3:1 (wt/wt). Steam to biomass ratio of 3.5:1 (wt/wt) was used in steam gasification reaction. The gaseous products were analyzed using an on-line gas chromatography equipped with thermal conductivity detectors (TCD) and fitted with Molsieve 5A and Hayesep Q columns. Result shows that 2.5 % Fe/CeO2 gave the highest hydrogen production in both the dry and steam gasification of PKS

Intermittent Earth Fault Detection In Distribution Network Based On The Voting Classification Technique

Intermittent earth faults in non-effectively distribution networks, especially with underground cabling, can compromise the quality of the electricity supply. This type of earth fault may be followed by permanent faults, which in turn puts the networks on the line. This phenomenon monitoring can help distribution system operators (DSOs) to plan maintenance to reduce system interruption and improve MV electricity delivery. Thus, this research will examine AI-driven approaches, which are suitable for complicated issues, to improve distribution power grid monitoring and maintenance. The research focuses on medium and low-voltage grids and applies the voting classification technique (VC) to monitor and predict earth faults. Moreover, IEC 61850 Sampled Value communication protocol will be utilized at a practical level to establish a hierarchical infrastructure of data processing nodes. VC will process this raw data to determine the distribution network condition. In this endeavor, a new efficient way to monitor and maintain power networks will be examined. The suggested method will predict the existing and future status of the system, including upcoming breakdowns. At the top of the structure, aggregated information will be displayed to human grid operators to help them schedule maintenance or plan emergency actions. Real grid pilots and laboratory experiments in Finland will provide the required data to develop and train the suggested approach to predict intermittent earth faults.©2023 IET. This paper is a postprint of a paper submitted to and accepted for publication in 27th International Conference on Electricity Distribution (CIRED 2023) and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.fi=vertaisarvioitu|en=peerReviewed

Examining the Relationship between Social Media and Intention to Invest in an Investment Scams among Students

The advancement of social media platforms has enhanced communication sharing, interaction and information access. Importantly, the platforms become an integral part of the lives of today's students in updating themselves with current issues around the world and staying informed. Social media offers scammers opportunities to create fake profiles, leading to confusion between genuine investments and scams. However, alongside the benefits, social media also exposed students to deception such as being scammed. Students can be susceptible to falling prey to investment scams that offer high yields with low risk. Students must exercise caution online to avoid falling for fraudulent schemes. Vigilance in evaluating online content is crucial for their financial safety. Therefore, this study was conducted to examine the influence of social media on the intention to invest in investment scams among students. Data was collected among students at Universiti Teknologi MARA, Cawangan Negeri Sembilan. This study employed a quantitative method to collect primary data through an online questionnaire survey. The findings indicate a significant association between social media and intention to invest in investment scams. This study contributes to the existing literature on both social media and investment scam context and offers valuable insights to the policymakers, regulators and social media operators in combatting the fraudulent investment issue

Renewable energy from biogas generated by sewage sludge: relationship between volume of sludge and volume of biogas / Aminuddin Muhamad Baki ... [et al.]

Biogas composed of methane and carbon dioxide is a by-product of anaerobic bacteria decomposition of organic waste which municipal garbage and sewage are important sources for biogas production. The methane content in the biogas enables it to be used as engine fuel and converted to heat and electricity. An experimental study that examined the relationship between organic content of sludge and methane generation as it progressed through mesophilic anaerobic digestion was completed. This case study is needed to determine organic content represented by BOD and SS in sewage, to quantify the biogas and methane generation from sewage sludge, to determine the relationship between organic content and volume of methane and also to determine the pressure of biogas and the relationship between sludge volume and volume of biogas. It was found that methane generation is potential during anaerobic digestion even with small volume of sludge. The quality of sludge for methane generation is dependent on the characteristics of sludge. Organic content characterized by Biological Oxygen Demand (BOD) and Total Suspended Solid (TSS) were measured in accordance to APHA standard methods (1998). Wastewater from two treatment plants namely, Kolej Mawar, UiTM and IWK WWTP Section 7, Shah Alam were used in this study. This study, found that higher organic content in sewage sludge will result in higher methane being generated

Determination of flood vulnerability level based on different numbers of indicators using AHP-GIS

approaches to a flood management strategy. One of the most important steps is identifying flood-vulnerable areas. A flood vulnerability assessment is necessary to identify the areas. Currently, research on flood vulnerability assessment uses different indicators to determine the flood vulnerability level. However, it is unknown how the number of indicators used to assess flood vulnerability affects the results. This research aimed to determine the effect of the number of indicators used in estimating flood vulnerability using the AHP-GIS method on the resulting flood vulnerability level. Therefore, this research analyzed the weight of each indicator for five scenarios using the AHP method. This step is continued using GIS to create an overlay map to calculate each scenario's flood hazard index. The indicators used to determine the flood vulnerability index include elevation, slope, flow accumulation, drainage distance, land use, soil type, and annual rainfall intensity. The results showed that the reduction of indicators from seven to six caused the areas with moderate and very high levels of flood vulnerability to increase, while those with high levels decreased. Meanwhile, the reduction from six to five indicators caused the areas with low and moderate vulnerability to reduce, while those with high and very high levels increased. It was also discovered that when the indicators were changed from five to four, the areas with moderate and high vulnerability increased while those with very high levels decreased

Thermodynamic Equilibrium Analysis of Triolein Hydrodeoxygenation for Green Diesel Production

AbstractThe recent trends in biofuel research outcome mainly focused on the conversion of vegetable oil to the value added hydrocarbon fuels. Hydrodeoxygenation is one of the promising route for clean energy production. In this study, triolein was selected as the model compound representing rubber seed and jatropha seed oil to produce straight chain hydrocarbon. The thermodynamic equilibrium analysis was carried out using Aspen HYSYS software to study the thermodynamic interaction between hydrogen to triolein molar ratio, reaction pressure and temperature. The study revealed that thermodynamically, the optimum feed molar ratio of H2 to triolein is at 5:1 and pressure of 70bar produced high amount of desired products, The selectivity for C18 decreases with the increased of temperature, as well as the ratio of C17/C18. The by products such as methane and propane are resulted from several side reactions, namely methanation, thermal cracking and reverse water gas shift reaction. This can possibly be minimized by using efficient and effective catalyst design

Implementation of policy initiatives to foster public sector innovation in Malaysia: the need for measurement

The emergence of public sector innovation in the last two decades has been an important aspect of the solution for pressing global economic and social problems. There is rapidly growing interest for measuring innovation in the public sector as part of the goal to improve its overall performance. In the context of Malaysia, the public sector has been dedicated to fostering innovation through the implementation of various policy initiatives. Despite this dedication, there remains a lack of measurement strategies for public sector innovation performance. The existing performance measurement strategy mostly focuses on efficiency and object centric, while the current focus of performance measurement in leading governments such as the United Kingdom, European Union and Australia is shifting towards measuring the effectiveness and capability of public innovation to deliver expected public values. This situation established a critical need for a holistic approach in measuring Malaysian public sector innovation performance, through the implementation of subject-based innovation performance measurement. The existence of such a measurement will be able to provide indicator of achievement, as well as valuable insights to support policy formulation processes, debates and the evaluation of existing policy initiatives

Smart Accounting School Sdn Bhd (SAS) / Rohasni Ramli ...[et al.]

Syarikat ini menawarkan perkhidmatan iaitu program pendidikan di peringkat ijazah dalam bidang perakaunan. Program ini memberi peluang kepada pelajar lepasan SPM, STPM, diploma dan mereka yang sudah bekerja. Pembelajaran melalui internet di mana pelajar hanya perlu berada di rumah. Nota serta latihan juga melalui internet. Masa untuk sesi soal jawab antara pelajar dan pensyarah selama 5 jam seminggu. Jangkamasa program selama 3 tahun yang mengandungi 9 semester. Ianya bertempat di Bangunan Star Parade, Jalan Teluk Wanjah, Alor Setar, Kedah