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Articles 5401 - 5430 of 40934
Full-Text Articles in Engineering
Maximizing Mining Operations: Unlocking The Crucial Role Of Intelligent Fleet Management Systems In Surface Mining’S Value Chain, Arman Hazrathosseini, Ali Moradi Afrapoli
Maximizing Mining Operations: Unlocking The Crucial Role Of Intelligent Fleet Management Systems In Surface Mining’S Value Chain, Arman Hazrathosseini, Ali Moradi Afrapoli
Earth and Environmental Sciences Faculty Publications
On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. …
Coupling-Informed Data-Driven Scheme For Joint Angle And Frequency Estimation In Uniform Linear Array With Mutual Coupling Present, Yanming Zhang, Wenchao Xu, A. Long Jin, Min Li, Peifeng Ma, Lijun Jiang, Steven Gao
Coupling-Informed Data-Driven Scheme For Joint Angle And Frequency Estimation In Uniform Linear Array With Mutual Coupling Present, Yanming Zhang, Wenchao Xu, A. Long Jin, Min Li, Peifeng Ma, Lijun Jiang, Steven Gao
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a novel coupling-informed data-driven algorithm tailored for the concurrent estimation of frequency and angle within a uniform linear array (ULA), while addressing the complicating influence of mutual coupling. Leveraging the hybrid dynamic mode decomposition (DMD) methodology, termed as averaged DMD, we incorporate moving average techniques to achieve effective denoising. The averaged DMD further decomposes the received signal into eigenvalues and corresponding eigenvectors. The frequency information is derived from the eigenvalues and the corresponding eigenvectors represent the steering vectors of sources. Subsequently, mutual coupling is informed into the calibration of the steering vector for each source. Specifically, the …
Lifelong Safe Optimal Adaptive Tracking Control Of Nonlinear Strict-Feedback Discrete-Time Systems, Behzad Farzanegan, S. Jagannathan
Lifelong Safe Optimal Adaptive Tracking Control Of Nonlinear Strict-Feedback Discrete-Time Systems, Behzad Farzanegan, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a comprehensive approach for achieving multi-task safe optimal adaptive tracking (MSOAT) for a class of nonlinear discrete-time systems, particularly those in strict-feedback form, utilizing a multi-layer neural network (MNN)-based framework. To begin, a cost function with a novel Barrier function (BF) term is introduced for each subsystem to address the weak safely reachable problem, serving as a crucial tool for guiding the system's trajectory toward the safe set while avoiding unwanted sets. To deal with the tracking problem, the Hamilton-Jacobi-Bellman (HJB) framework is used through the actor-critic MNN-based backstepping technique to estimate the solution of the value …
Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan
Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a new model-based fault resilient control scheme for a class of nonlinear distributed parameter systems (DPS) represented by parabolic partial differential equations (PDE) in the presence of actuator faults. A Luenberger-like observer on the basis of nonlinear PDE representation of DPS is developed with boundary measurements. A detection residual is generated by taking the difference between the measured output of the DPS and the estimated one given by the observer. Once a fault is detected, an unknown actuator fault parameter vector together with a known basis function is utilized to adaptively estimate the fault dynamics. A novel …
Ground Tire Rubber As A Sustainable Additive: Transforming Desert Sand Behavior, Nabil Ismael, Dalya Ismael, Asmaa Al-Ahmad
Ground Tire Rubber As A Sustainable Additive: Transforming Desert Sand Behavior, Nabil Ismael, Dalya Ismael, Asmaa Al-Ahmad
Engineering Technology Faculty Publications
Managing waste tires presents a significant challenge globally, particularly in regions experiencing high temperatures and shortage of landfill sites. This issue is affecting countries like Kuwait, where the abundance of waste tires is a major source of environmental and safety risks, particularly during the intensely hot summer months. This extreme heat has sparked numerous fires, leading to substantial air pollution due to thick black smoke. Given the limited disposal options, recycling waste tires and finding practical applications for ground tire rubber (GTR) is essential. To address the challenge, a comprehensive laboratory testing program was conducted, using locally produced rubber aggregates …
Digitalization Of Railway Transportation Through Ai-Powered Services: Digital Twin Trains, Salih Sarp, Murat Kuzlu, Vukica Jovanovic, Zekeriya Polat, Ozgur Guler
Digitalization Of Railway Transportation Through Ai-Powered Services: Digital Twin Trains, Salih Sarp, Murat Kuzlu, Vukica Jovanovic, Zekeriya Polat, Ozgur Guler
Engineering Technology Faculty Publications
Digitalization is a key concept that transformed the various industries through technologies like Internet of Things (IoT), Artificial Intelligence (AI), and Digital Twin (DT). Although innovations provided by the advancement of digitalization have paved the way for more efficient operations and products for transportation, the rail transportation sector struggles to keep up with the rest of the transportation industry, since trains are designed to last for decades, and the insufficient infrastructure investment leads to multiple railroad derailments across the globe. Therefore, the primary aim is to transform current railway systems into human-centric, adaptable, sustainable and future-proof networks, aligning with Industry …
Federated Learning: Overview, Strategies, Applications, Tools And Future Directions, Betul Yurdem, Murat Kuzlu, Mehmet Kemal Gullu, Maliha Tabassum
Federated Learning: Overview, Strategies, Applications, Tools And Future Directions, Betul Yurdem, Murat Kuzlu, Mehmet Kemal Gullu, Maliha Tabassum
Engineering Technology Faculty Publications
Federated learning (FL) is a distributed machine learning process, which allows multiple nodes to work together to train a shared model without exchanging raw data. It offers several key advantages, such as data privacy, security, efficiency, and scalability, by keeping data local and only exchanging model updates through the communication network. This review paper provides a comprehensive overview of federated learning, including its principles, strategies, applications, and tools along with opportunities, challenges, and future research directions. The findings of this paper emphasize that federated learning strategies can significantly help overcome privacy and confidentiality concerns, particularly for high-risk applications.
A Chinese Power Text Classification Algorithm Based On Deep Active Learning, Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
A Chinese Power Text Classification Algorithm Based On Deep Active Learning, Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
Computer Science Faculty Publications
The construction of knowledge graph is beneficial for grid production, electrical safety protection, fault diagnosis and traceability in an observable and controllable way. Highly-precision text classification algorithm is crucial to build a professional knowledge graph in power system. Unfortunately, there are a large number of poorly described and specialized texts in the power business system, and the amount of data containing valid labels in these texts is low. This will bring great challenges to improve the precision of text classification models. To offset the gap, we propose a classification algorithm for Chinese text in the power system based on deep …
Enhancing Research Productivity: Seamless Integration Of Personal Devices And Hpc Resources With The Cybershuttle Notebook Gateway, Yasith Jayawardana, Dimuthu Wannipurage, Eroma Abeysinghe, Suresh Marru
Enhancing Research Productivity: Seamless Integration Of Personal Devices And Hpc Resources With The Cybershuttle Notebook Gateway, Yasith Jayawardana, Dimuthu Wannipurage, Eroma Abeysinghe, Suresh Marru
Computer Science Faculty Publications
Scientists often utilize personal laptops and workstations for initial research stages and turn to high-performance computing (HPC) supercomputers for compute-intensive tasks. However, seamless transitions between these environments are vital for enhancing productivity and accelerating research progress. Our paper presents the Cybershuttle Notebook Gateway, an open-source framework crafted to streamline this transition, optimize resource utilization, and reduce time-to-science for researchers. Leveraging JupyterLab, the framework extends kernel mechanics for seamless provisioning and connection to remote HPC cluster kernels. We delve into its architecture, which separates user authentication, kernel provisioning, and remote file system access. Additionally, we highlight practical capabilities like analyzing network …
Enhancing Iot Security: Optimizing Anomaly Detection Through Machine Learning, Maria Balega, Waleed Farag, Xin-Wen Wu, Soundarararjan Ezekiel, Zaryn Good
Enhancing Iot Security: Optimizing Anomaly Detection Through Machine Learning, Maria Balega, Waleed Farag, Xin-Wen Wu, Soundarararjan Ezekiel, Zaryn Good
Computer Science Articles
As the Internet of Things (IoT) continues to evolve, securing IoT networks and devices remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the IoT. A promising way to perform anomaly detection in the IoT is through the use of machine learning (ML) algorithms. There is a lack of studies in the literature identifying optimal (with regard to both effectiveness and efficiency) anomaly detection models for the IoT. To fill the gap, this work thoroughly investigated the effectiveness and efficiency of IoT anomaly detection enabled by several representative machine learning models, namely Extreme Gradient Boosting (XGBoost), Support …
A Robust Form Understanding System Using Graph-Based Neural Network, Chavin Chuangchaichatchavarn
A Robust Form Understanding System Using Graph-Based Neural Network, Chavin Chuangchaichatchavarn
Chulalongkorn University Theses and Dissertations (Chula ETD)
In this work, we address the challenge of form understanding in real-world documents affected by OCR noise and layout uncertainty. We introduce TONDFU, a bilingual Thai and English dataset consisting of official documents such as vehicle registrations and utility bills, annotated for entity labelling and entity linking. We also introduce a noisy character feature extractor that captures lexical and spatial patterns to improve the model's robustness against noisy textual content. This feature is integrated with geometric, visual, and semantic features in the graph-based model. Experiments show that the noisy character feature outperforms the frequency histogram baseline, and with pretraining on …
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
College of Graduate Studies: Theses & Dissertations
This thesis comprises three distinct, yet interconnected studies addressing critical aspects of web infrastructure management. We begin by studying containerization via Docker and its impact on web server performance, focusing on Apache and Nginx hosted on virtualized environments. Through meticulous load testing and analysis, we provide insights into the comparative performance of these servers, adding users of this technology know which webservers to leverage when hosting their webservice along alongside the infrastructure to host it on. Next, we expand our focus to examine the performance of caching systems, namely Redis and Memcached, across traditional VMs and Docker containers. By comparing …
Developing Herbal-Based Beverage Fermentation Using Saccharomyces Cerevisiae: The Physico-Chemical Properties, Siti Madihah Mohd Don, Mas Munira Rambli, Beston Faiek Nore
Developing Herbal-Based Beverage Fermentation Using Saccharomyces Cerevisiae: The Physico-Chemical Properties, Siti Madihah Mohd Don, Mas Munira Rambli, Beston Faiek Nore
ASEAN Journal on Science and Technology for Development
Herbal-based fermented beverages are popular non-dairy products among consumers who seek healthy and immunity-supporting products. Amongst commonly used health supplements that are added to food and beverage would be probiotics, commonly Saccharomyces cerevisiae or yeast. This study aims to determine the physico-chemical properties of fermented beverages at different fermentation periods using lemongrass (Cymbopogon citratus DC. Stapf), ginger (Zingiber officinale Rosc.), turmeric (Curcuma longa L.), mint (Mentha), and moringa (Moringa oleifera Lam.). This study revealed a significant decrease (p ≤ 0.05) in pH, total soluble solids, and density in most fermented beverages after 24, 36 and 48 hours of fermentation. Low …
Technological Advancements In Brunei’S Local Agriculture And Fisheries Companies: An Exploratory Study Based On Field Observations, Muhammad Firdaus Mujibuddin Syah Mustafa, Navaranjan Namasivayam, Hong Shyang Pei, Fatnin Farhanah Alihan, Amni Sahilah Sahrullamzah, Khairina Umairah Takiyaudin
Technological Advancements In Brunei’S Local Agriculture And Fisheries Companies: An Exploratory Study Based On Field Observations, Muhammad Firdaus Mujibuddin Syah Mustafa, Navaranjan Namasivayam, Hong Shyang Pei, Fatnin Farhanah Alihan, Amni Sahilah Sahrullamzah, Khairina Umairah Takiyaudin
ASEAN Journal on Science and Technology for Development
This exploratory study, through seven field observations and interviews, investigates the technological advancements transforming Brunei's agricultural landscape in pursuit of local production augmentation and self-sufficiency. It confronts challenges with emerging technologies like aquaponics, hydroponics, fertigation systems, closed-house poultry systems, and UV lighting, which hold promise for enhanced farming practices. The research provides a comprehensive assessment of current practices, including livestock management advancements, underscoring their potential to boost productivity, optimize resource use, and promote sustainable agriculture. Furthermore, it discusses the broader implications for industry standards, job employability, and alignment with Brunei's Vision 2035. The findings contribute invaluable insights, advocating for strategic …
Exploring The Impact Of Vented Packaging Configurations On Airflow Patterns And Cooling Consistency For Muskmelons In A Cold Storage Environment, Nur Wafidah Roslan, Namasivayam Navaranjan, Zohrah Sulaiman, Naseem Uddin
Exploring The Impact Of Vented Packaging Configurations On Airflow Patterns And Cooling Consistency For Muskmelons In A Cold Storage Environment, Nur Wafidah Roslan, Namasivayam Navaranjan, Zohrah Sulaiman, Naseem Uddin
ASEAN Journal on Science and Technology for Development
The cooling effect of different vented packaging designs was investigated for packed muskmelons fruits in a commercial cold storage condition. Computational fluid dynamics (CFD) simulation and experiments were used. The airflow pattern, heat transfer and temperature profiles were predicted from simulation and analysed. The CFD results reveal an uneven and low efficient airflow distribution inside a commercially used vented packaging (Box A). This resulted slow cooling of the fruits in Box A. Two newly designed packaging (Box B and Box C) showed better airflow distribution around the fruits and cooled them faster than Box A. The design of Box C …
Recent Advance In Biodegradable Packaging From Banana Plant Feedstock: A Comprehensive Review, M. Atiq Juani, Namasivayam Navaranjan
Recent Advance In Biodegradable Packaging From Banana Plant Feedstock: A Comprehensive Review, M. Atiq Juani, Namasivayam Navaranjan
ASEAN Journal on Science and Technology for Development
This review focuses on recent advances in biodegradable packaging derived from banana plant waste, highlighting its pivotal role in addressing environmental concerns linked to conventional packaging materials. The shift toward sustainable packaging stems from the urgent need to combat plastic pollution, reduce reliance on non-renewable resources, and foster sustainability in the food industry. Banana plants, known for generating significant organic waste during cultivation and processing, provide a valuable source for developing biodegradable packaging. Researchers have successfully transformed banana waste into innovative, recyclable, and eco-friendly packaging solutions, promoting a circular economy. Biodegradable packaging, in contrast to traditional materials derived from fossil …
Evaluation Of Physicochemical Properties Of Chicken Sausages Containing Whey Protein Isolate And Guar Gum, Nur Hamizah Hamid, Namasivayam Navaranjan
Evaluation Of Physicochemical Properties Of Chicken Sausages Containing Whey Protein Isolate And Guar Gum, Nur Hamizah Hamid, Namasivayam Navaranjan
ASEAN Journal on Science and Technology for Development
The present work aims to evaluate the physicochemical properties and proximate composition of adding whey protein isolate (WPI) and guar gum (GG) as emulsion gels in chicken sausages formulated with different fat percentages. The fat reduction resulted in products having lower moisture content (p
Preliminary Study On The Effects Of Vinegar As Pre- Treatment For The Oven-Drying Of Pacific Yellowtail Emperor (Lethrinus Atkinsoni) Fillets, Nurisa A. Suhaili, Rafael S. Jamih, Normina A. Abubakar, Jaro O. Ajik, Merilyn Q. Amlani
Preliminary Study On The Effects Of Vinegar As Pre- Treatment For The Oven-Drying Of Pacific Yellowtail Emperor (Lethrinus Atkinsoni) Fillets, Nurisa A. Suhaili, Rafael S. Jamih, Normina A. Abubakar, Jaro O. Ajik, Merilyn Q. Amlani
ASEAN Journal on Science and Technology for Development
This study aimed to assess the impact of various vinegar compositions used as pre-treatment for Pacific Yellowtail Emperor (PYE) fillets during the oven-drying process, with a focus on moisture content and optimal drying conditions. Two types of commercially available vinegar, Superior Vinegar and Datu Puti Vinegar, were compared, and different drying temperatures were evaluated. The investigation revealed that the drying temperature significantly influenced the moisture content of the dried PYE fillets. Among the tested temperatures (40°C, 60°C, and 80°C), the most favorable outcome in terms of moisture content was achieved when fillets were dried at 80°C for a duration of …
Application Of Three Of Selected Medicinal Plant Extracts In Brunei Darussalam To Improve Shelf Life Of Poultry Product, Hazirah Abd Hamid, Namasivayam Navaranjan, Zohrah Sulaiman, Aida Maryam Binti Hj Basri
Application Of Three Of Selected Medicinal Plant Extracts In Brunei Darussalam To Improve Shelf Life Of Poultry Product, Hazirah Abd Hamid, Namasivayam Navaranjan, Zohrah Sulaiman, Aida Maryam Binti Hj Basri
ASEAN Journal on Science and Technology for Development
Abstract. Bioactive compounds from plant derived in food application become increasingly in demand due to natural and nutritionally safe products. Due to some issues concerning food safety on the excessive use of synthetic preservatives; the present study aims to investigate the natural alternatives to synthetic antimicrobial food additives. The chicken meat’s shelf life was studied by adopting bio-based antimicrobial agents using three of selected native medicinal plants; P. betle, A. catechu, and A. tricolor, against common foodborne pathogens; E. coli, P. aeruginosa, S. aureus, and Salmonella spp. The overall results revealed that, all study extracts possessed antioxidant properties by DPPH …
Byproducts Of Tropical Marine Processing As A Candidate For Industrial Food Ingredients: An Appraisal On Macro And Micronutrients, Abdul Aziz Jaziri, Hajariah Hasanuddin, Rossita Shapawi, Ruzaidi Azli Mohd Mokhtar, Wan Norhana Md. Noordin, Masmunira Rambli, Nurul Huda
Byproducts Of Tropical Marine Processing As A Candidate For Industrial Food Ingredients: An Appraisal On Macro And Micronutrients, Abdul Aziz Jaziri, Hajariah Hasanuddin, Rossita Shapawi, Ruzaidi Azli Mohd Mokhtar, Wan Norhana Md. Noordin, Masmunira Rambli, Nurul Huda
ASEAN Journal on Science and Technology for Development
Tropical marine fish is a main raw material for surimi processing plants, including golden threadfin bream (Nemipterus virgatus Houttuyn, 1782) and swallowtail dwarf monocle bream (Parascolopsis eriomma Jordan & Richardson, 1909). After processing, more than 60% of fish are considered as byproducts (i.e., head, viscera, skin, bones, fins and scale), and tend to discard due to poor-utilization. Hence, this paper aims to evaluate macro- and micro-nutrients derived from golden threadfin bream (GTB) and swallowtail dwarf monocle bream (SDMB). The higher content of protein (25.31 ± 0.81%) was observed in the skin part of GTB, followed by the flesh (21.26 ± …
Antioxidant And Antimicrobial Properties Of Yellow Mealworm (Tenebrio Molitor) Protein Concentrates And Hydrolysates Derived From Varied Dietary Regimens, Shyang-Pei Hong, Eng-Tong Phuah, Wey-Lim Wong, Yee-Ying Lee, Teck-Kim Tang, Ali Yassoralipour
Antioxidant And Antimicrobial Properties Of Yellow Mealworm (Tenebrio Molitor) Protein Concentrates And Hydrolysates Derived From Varied Dietary Regimens, Shyang-Pei Hong, Eng-Tong Phuah, Wey-Lim Wong, Yee-Ying Lee, Teck-Kim Tang, Ali Yassoralipour
ASEAN Journal on Science and Technology for Development
The larval stage of the darkling beetle, Tenebrio molitor, often referred to as the yellow mealworm, has received significant attention as a promising source of high-quality protein for human consumption due to its exceptional nutritional profile. This study focused on assessing the antioxidant and antimicrobial activities of protein concentrates and hydrolysates obtained from mealworm specimens raised under distinct dietary conditions. One cohort of mealworms was sustained on food waste comprising rice bran, milled corn, and carrots (self-bred) (SM), while another group was exclusively provided with rice bran (commercially fed) (CM). Enzymatic hydrolysis of mealworm protein was accomplished using protease enzymes …
Release Behavior Of Butterfly Pea Anthocyanins From Sago Starch Micro-Composite Films Under Food Stimulants, Afiqah Nabihah Ahmad, Eng Tong Phuah, Namasivayam Navaranjan, Syazana Abdullah Lim
Release Behavior Of Butterfly Pea Anthocyanins From Sago Starch Micro-Composite Films Under Food Stimulants, Afiqah Nabihah Ahmad, Eng Tong Phuah, Namasivayam Navaranjan, Syazana Abdullah Lim
ASEAN Journal on Science and Technology for Development
This study investigates the release behaviour of Butterfly Pea (BP) anthocyanins from Sago starch micro-composite (SMC) films in the presence of food stimulants. To comprehensively describe the release profiles of BP from SMC, six well-established kinetic release models were employed which includes Korsmeyer-Peppas, zero-order, first-order, second-order, Higuchi, and Hixson-Crowell models. These models played a crucial role in examining how the release fraction changes over time, facilitating a comprehensive understanding of the release kinetics of BP anthocyanins. Our data analysis revealed a strong conformity with the Korsmeyer-Peppas model, suggesting its applicability in describing the release of BP anthocyanins from SMC. The …
Formulation Of Naturally Flavoured Mineral Water With Curcuma Longa, Zumirra Affno, Aida M. Basri, Beston F. Nore
Formulation Of Naturally Flavoured Mineral Water With Curcuma Longa, Zumirra Affno, Aida M. Basri, Beston F. Nore
ASEAN Journal on Science and Technology for Development
Natural, organic flavoured beverages have become an increasingly important market in the food industry due to flavour and sensory requirements among consumers. Throughout human history, herbs and spices provide a spectrum of natural food flavouring, which became an eminent component of food preparations worldwide. However, their applications in beverages have not been fully exploited. The main objective of this study is to develop flavoured water formulation based on organic turmeric extracts from flower, leaf, and rhizome parts. We adhered the natural mineral water flavouring integrity at refrigerated storage condition (4oC) for a period of 12 weeks. The flavoured water was …
Food Labelling Practices Of Local Products In Brunei Darussalam, Asrarul A. Noraidi, Zikri Zulkifli, Aida M. Basri, Ernina Rani, Beston F. Nore
Food Labelling Practices Of Local Products In Brunei Darussalam, Asrarul A. Noraidi, Zikri Zulkifli, Aida M. Basri, Ernina Rani, Beston F. Nore
ASEAN Journal on Science and Technology for Development
Food labelling is an essential feature for food product marketing and is mainly regulated by national food authority. Food package labelling provides information on product composition, usage instructions, shelf-life safety, storage conditions, and nutritional profile. The purpose of this study is to review the scope of the current food labelling system used in local food products. We surveyed 3 different food categories: 1) processed meat products, 2) bread, and 3) snacks, and examined the nutritional labelling criteria with respect to the carbohydrates, protein, and particularly sodium (salt) content. A broad market survey was carried out across Brunei and Muara district, …
Youth Resilience Toward Climate Smart Agriculture Technology Adoption In Brunei Darussalam, Rosita Hassan, Wida S. Suhaili, Beston F. Nore, Mohamad A. Basuni
Youth Resilience Toward Climate Smart Agriculture Technology Adoption In Brunei Darussalam, Rosita Hassan, Wida S. Suhaili, Beston F. Nore, Mohamad A. Basuni
ASEAN Journal on Science and Technology for Development
Climate change and food security are critical issues to be addressed, nationally and globally, to reach sustainable agricultural development goals to feed the growing human population. The great challenge is to adapt to the climate change and in the meantime increase food production with sustainable farming practices that require farmers to have a paradigm shift toward climate smart agricultural technology (CSAT). Encouraging farmers to adopt and implement CSAT have become a priority for governmental policy making programmes. The question is what are the measures that can be taken for Brunei to leapfrog into this technology bandwagon to revitalise farmers for …
Protein Content Analysis On Brunei Delicacies: Kelupis Sulang And Sulang Fruit, Siti Nadia Saifullzan, Jhoorhanah A. Halim, Mas M. Rambli, Aida M. Basri
Protein Content Analysis On Brunei Delicacies: Kelupis Sulang And Sulang Fruit, Siti Nadia Saifullzan, Jhoorhanah A. Halim, Mas M. Rambli, Aida M. Basri
ASEAN Journal on Science and Technology for Development
Traditional Bruneian delicacy which are often reserved for special occasions; called the kelupis Sulang made from glutinous rice, coconut milk, and the flesh of the Brunei Sulang fruit’s protein content were studied. The protein content of both kelupis and the sulang fruit were examined using both qualitative and protein concentration analyses. The analysis was performed using the Xanthoproteic test, Ninhydrin test, Sulphur Reduction test, and the Biuret test. The readings were obtained from the UV-Visible Spectrophotometry and revealed an average protein concentration of 21 mg/ml in aqueous extracts of kelupis sulang and 26.8 mg/ml in aqueous suspension of kelupis sulang …
Nutritional Quality Of Cultured Giant Freshwater Prawns (Macrobrachium Rosenbergii), Nurul F.M.S. Rizal, Najeebah A. Tashim, Zuhairi Azahari, Aida M. Basri, Tiong H. Lim, Aqilah Junaidi, Suriayati Chuprat, Seno A. Putra, Hanif Fakhrurroja
Nutritional Quality Of Cultured Giant Freshwater Prawns (Macrobrachium Rosenbergii), Nurul F.M.S. Rizal, Najeebah A. Tashim, Zuhairi Azahari, Aida M. Basri, Tiong H. Lim, Aqilah Junaidi, Suriayati Chuprat, Seno A. Putra, Hanif Fakhrurroja
ASEAN Journal on Science and Technology for Development
Macrobrachium rosenbergii, or the giant freshwater prawn has high market demand due to its exceptional nutritional value for the human diet. Often, most nutritional studies focus on the edible prawn parts, rather than the prawn discarded components. The nutritional evaluation of different prawn parts can provide insights into the nutrient composition and guiding for the development of value-added products. Three groups of prawn samples were collected from 3 different ponds, representing different prawn sizes. The water quality analysis of each pond was also conducted to determine the extent to which it can affect the nutritional composition. The conventional and biochemical …
Rice Farmer’S Perception And Factors Influencing Intention And Attitude On Adoption Of Hybrid Rice, Ahmad Mas'oud Muhd Halimi, Ulaganathan Subramanian
Rice Farmer’S Perception And Factors Influencing Intention And Attitude On Adoption Of Hybrid Rice, Ahmad Mas'oud Muhd Halimi, Ulaganathan Subramanian
ASEAN Journal on Science and Technology for Development
Rice is considered the staple food of Brunei Darussalam, where most rice is imported from different countries. This poses a risk regarding food security wherein an unwanted event of restricted rice importation, Brunei, may experience difficulties. Hybrid rice cultivation is one of Brunei's best food security options. We studied the farmers' attitudes towards mixed rice farming in Brunei. We divided the farmers into two groups for the purpose of our study. Agriculture cooperative members and non-members. For attitude, perceived ease of use positively impacts attitude significantly for member rice farmers, while perceived usefulness positively impacts attitude for non-member rice farmers. …
Smes’ Perspectives On The Benefits And Challenges Of Halal Certificate Application In Brunei Darussalam, Kamariah Ismail, Syahnur Farhana Haji Shahlehi, Vivi Nabilah Shaya
Smes’ Perspectives On The Benefits And Challenges Of Halal Certificate Application In Brunei Darussalam, Kamariah Ismail, Syahnur Farhana Haji Shahlehi, Vivi Nabilah Shaya
ASEAN Journal on Science and Technology for Development
The knowledge and research on SMEs and Halal-related studies in Brunei Darussalam are scant. Guided by the principles of Resource-Based View theory, this qualitative study aims to identify the benefits and challenges of Halal certificate application from the perspectives of Bruneian Halal food SMEs, as they obtain the Brunei’s Halal certificate and label. Based on the purposive and snowball sampling, four semi-structured interviews were conducted with business owners and managers in the Halal food industry. Government officials were also in-terviewed to enhance the findings. Thematic analysis, supplemented by secondary data, was employed for a comprehensive understanding. Four themes emerged, covering …
Combating Corporate Fraud Through The Lens Of Corporate Governance In Malaysia, Emelia A. Girau, Dgku Habibah Ag Kee, Betsy Jomitin, Sazali Zainal Abidin, Imbarine Bujang
Combating Corporate Fraud Through The Lens Of Corporate Governance In Malaysia, Emelia A. Girau, Dgku Habibah Ag Kee, Betsy Jomitin, Sazali Zainal Abidin, Imbarine Bujang
ASEAN Journal on Science and Technology for Development
The increasing incidence of corporate fraud in major global companies has drawn significant scrutiny to the effectiveness of corporate governance in mitigating such fraudulent activities. Despite substantial improvements in corporate governance practices and the implementation of new regulatory frameworks aimed at curbing corporate fraud, instances of fraud continue to rise. If this situation persists, it will become a serious impediment to making substantial progress toward the 2030 Agenda for Sustainable Development. The objective of this study is to explore the interplay between corporate governance attributes, whistleblowing policies, and the likelihood of corporate fraud occurrences within the context of Malaysia. The …