Journal of Advanced Research in Applied Sciences and Engineering Technology最新文献

{"title":"Microwave- and Oven-Heat Moisture Treatment of Broken Rice Flour and the Improvement in Flat Rice Noodle Quality","authors":"Nor Afizah Mustapha, Lai Yan Tang, Wan Zunairah Wan Ibadullah, Radhiah Shukri, Nor Hayati Ibrahim","doi":"10.37934/araset.43.1.3344","DOIUrl":"https://doi.org/10.37934/araset.43.1.3344","url":null,"abstract":"The characteristics of starch used in the production of rice noodles greatly influenced the product quality. Some rice noodle varieties are made from rice flour, which is typically derived from broken rice grains. Broken rice flour has been associated with a higher level of starch damage that could adversely affect the cooking, textural, and eating qualities of noodles. Hydrothermal treatments have been proposed as a technique for improving starch functionality. This study aims to investigate the effect of different techniques employed in heat moisture treatment (HMT) applied to broken rice (MR263) and their impact on flat rice noodle quality. Rice flour adjusted to 20% moisture content was subjected to two HMT techniques; oven-heat moisture treatment (O-HMT) at 110°C for 3 h and microwave-heat moisture treatment (M-HMT) at 119 W for 5 min. HMT reduced the swelling capacity and solubility of the flour. M-HMT flour had the lowest swelling capacity, whereas O-HMT flour exhibited the lowest solubility. The oven-HMT reduced the L* and whiteness index values of both rice flour and noodles, whereas the microwave-HMT recorded comparable color parameters as the non-treated samples. HMT improved the cooking quality of flat rice noodles, resulting in lower water absorption and cooking loss. Noodles made with oven-treated flour had the lowest cooking loss, whereas the microwave-treated flour resulted in noodles with the lowest water absorption. O-HMT produces noodles with greater improvement in gel texture. Despite the reduced whiteness of the O-HMT noodle, it received higher consumer acceptance in terms of appearance, color, flavor, and hardness. Heat moisture treatment can be used as an economical viable technique for enhancing the quality of flat rice noodles. The varying noodle quality resulting from both oven- and microwave-HMT is attributed to a distinct degree of molecular changes in the starch components, which eventually impact the overall product quality.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140723793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cybersecurity Knowledge Deterioration and the role of Gamification Intervention","authors":"Faith Fatokun, Zalizah Awang, Suraya Hamid, Johnson O. Fatokun, Azah Norman","doi":"10.37934/araset.43.1.6694","DOIUrl":"https://doi.org/10.37934/araset.43.1.6694","url":null,"abstract":"Cybersecurity is becoming an overly critical issue in contemporary times. Cyberspace safety is declining, and this covers all categories of persons, businesses, institutions, and even the government. Deterioration in cybersecurity knowledge and awareness has led people to become easy prey/victims of cybercrime. The more novel security systems are being developed, the higher the cyberattacks as hackers, scammers, and cybercriminals are innovative in their techniques to attack cyber-users. It is therefore paramount to investigate the stance of cybersecurity knowledge among the general IT (Information Technology) users, especially in the 21st century. This paper designed a cybersecurity quiz based on adaptations from literature and past cybersecurity quizzes and conducted investigations to test the knowledge of random cyber-users via the cybersecurity quiz. Results from investigations are quite surprising and instructive, thus serving as a propelling motivation to develop a cybersecurity game. Among the 10-questionnaire cybersecurity quiz, it was discovered that most cyber-users lack knowledge about network security. Also, the question on social engineering was not well performed by the respondents. Thus, it is important for upcoming innovations to take into consideration the aspects of network security, social engineering when designing cybersecurity gamification approaches. Gamification has been used as teaching aids for diverse learning fields, however the use of games in cybersecurity is still understudied. Thus, the result of this quiz is intended to be used to further boost the development of a cybersecurity game, which can be age centric, thus developing cybersecurity games that will be suitable for specific user groups. Interestingly, though females were not regular game players, however they were highly interested in playing a cybersecurity game, as majority of cyber-users (males inclusive), believed that a cybersecurity knowledge gamification approach can help enhance their cybersecurity knowledge and awareness. Conclusively, it is obvious that both the young and old still lack basic cybersecurity knowledge, thereby making them easy prey for cyberattacks. Gamification if applied properly into cybersecurity, could be an interactive learning platform that is both enjoyable, produces a high spirit of learning as well as help serve as a strong awareness tool that can boost cybersecurity user’s knowledge.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"44 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140721102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensemble Transfer Learning for Hand-sign Digit Image Classification","authors":"Andi Muhammad Amil Siddik, Ainun Mawaddah Abdal, Armin Lawi, Edy Saputra Rusdi","doi":"10.37934/araset.43.1.95111","DOIUrl":"https://doi.org/10.37934/araset.43.1.95111","url":null,"abstract":"Hand sign classification is a challenging task in image processing and machine learning. Robust learning algorithms are essential to achieve optimal performance. Ensemble transfer learning, a technique that combines ensemble learning and transfer learning, is a promising approach to improve classification model performance. This study investigates the use of ensemble transfer learning for hand sign classification. The Sign Language Digits Dataset, which contains ten distinct handwritten image types, was used to evaluate the performance of three architectures: ResNet-50, VGG-19, and Ensemble Transfer Learning (a fusion of ResNet-50 and VGG-19). The results showed that all three architectures performed well, but Ensemble Transfer Learning achieved the best performance with an accuracy of 96.12%, precision of 96.06%, recall of 96.21%, and F1 score of 96.07%. This suggests that ensemble transfer learning can effectively enhance model performance in image hand sign classification. The study also found that combining ResNet-50 and VGG-19 in Ensemble Transfer Learning yielded superior results compared to individual models. This is because ensemble transfer learning can leverage the strengths of both models to improve the overall performance. The findings of this study highlight the significance of employing ensemble transfer learning techniques to enhance accuracy and reliability in hand sign image classification.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"13 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140721684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sentiment Analysis on The Place of Interest in Malaysia","authors":"Qiryn Adriana Kharul Zaman, Wan Nur Syahidah Wan Yusoff, Qistina Batrisyia Azman Shah","doi":"10.37934/araset.43.1.5465","DOIUrl":"https://doi.org/10.37934/araset.43.1.5465","url":null,"abstract":"This study focuses on utilizing machine learning methods for sentiment analysis to identify positive and negative comments regarding Malaysian Places of Interest (PoI). The data was collected from Twitter using social media monitoring software and organized into tables. Pre-processing techniques and Natural Language Processing (NLP) methods were applied to handle missing values and prepare the text data for analysis. The dataset was then split into training and testing sets, and three supervised learning algorithms which are Support Vector Machine, Random Forest, and Naive Bayes were employed to evaluate the sentiment analysis models. The performance of each model was compared, and it was found that Support Vector Machine achieved the highest accuracy, recall score, F1 score, and precision score. This study demonstrates the potential to extend sentiment analysis to analyze sentiments expressed in texts written in the Malay language by utilizing the Malaya corpus. Additionally, visual dashboards can be created to present the findings and provide recommendations based on the insights gathered from the sentiment analysis of PoI feedback.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"30 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140724559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual Reality Technology and Artificial Intelligence for Television and Film Animation","authors":"Shiva Krishna Reddy V., Kathiravan M.","doi":"10.37934/araset.43.1.263273","DOIUrl":"https://doi.org/10.37934/araset.43.1.263273","url":null,"abstract":"Artificial intelligence technology has transformed television content and production methods and resulted in the development of a new generation of artificially intelligent Television. Popularising artificial intelligence technology improves television programme content, categories, cost, and efficiency. Virtual reality (VR) technology has been widely used in scientific study and everyday life; thus, its use in film and television animation (FTA) teaching has been researched to promote FTA learning. First, learning design uses dynamic environment modelling, real-time 3D graphic production, stereoscopic displays, sensors, and other VR technologies. These four issues were researched due to the present FTA primary teaching method. VR technology enhances FTA's basic training teaching, and the 3D animation course and VR technology increase professional skill course teaching. The application effect compares and analyses classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect. The VR technology group's thorough quality evaluation is significantly improved, and students' satisfaction with classroom atmosphere, teaching style, and teaching facilities is 85%, 78%, and 97.34%, respectively. This group can incorporate the new design process into animation modelling and finish the course design work well. Compared to traditional instruction, pupils are happier and harvest more. Thus, VR technology in FTA instruction can increase student engagement, efficiency, and professional knowledge and abilities. After analysing its application mode and effects, VR technology can be used in FTA teaching.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"24 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Terahertz Spectroscopy Analysis of Amyloid Fibrils Derived from Human Serum Albumin","authors":"Shakirah Wahida Shamsul Bahri, Siti Nor Khadijah Addis, Nur Farizan Munajat, Nabilah Kasim, Hidayatul Aini Zakaria","doi":"10.37934/araset.43.1.160170","DOIUrl":"https://doi.org/10.37934/araset.43.1.160170","url":null,"abstract":"Amyloid fibrils, also referred to as protein fibrils, represent irregular assemblies of proteins exhibiting a cross-β configuration. Terahertz radiation, a segment of the electromagnetic spectrum spanning 0.3 to 10 terahertz (THz), is known to interact with these fibrils due to their cylindrical shape. This study's objective was to explore the potential of terahertz spectroscopy as a non-invasive means to detect the progressive growth of protein fibrils. In this investigation, human serum albumin (HSA) was synthetically induced to form protein fibrils. Confirmation of fibril formation was done by fluorescence spectroscopy, Fourier transform infrared (FTIR) spectroscopy, UV-Vis spectroscopy, and Terahertz time-domain spectroscopy (THz-TDS). To initiate the process, HSA was dissolved in distilled water at a concentration of 160 µM, followed by the addition of 60% ethanol to both samples for dilution. The HSA to Cu (II) ratio was maintained at 1:1 (160 µM) for stock solutions containing Cu (II). Subsequently, each set underwent a 6-hour heating phase at 65 °C to cultivate fibrils, which were then stored at room temperature for 30, 60, and 90 days before evaluation. Incubation of human serum albumin yielded amyloid fibrils as evidenced by ThT fluorescence, FT-IR spectroscopy revealed an emergence of fibrils within the amide I bands, extending from 1630 cm⁻¹ to 1650 cm⁻¹ and UV-Vis spectroscopy disclosed the augmentation of protein fibril absorbance over the incubation period. THz spectroscopy absorbance progressively heightened with prolonged heating of the protein fibrils due to the hydration shell surrounding them. Through these spectroscopic methods, it was elucidated that the fibrillation process led to the gradual development of β-sheet and unordered helix structures as well as the potential of THz spectroscopy as non-invasive tool for detection and monitoring of amyloidal diseases, promising insights into early diagnosis and treatment strategies.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"18 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140721959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aesthetic Improvement: Innovating the Design and Development Framework for Engineering Products","authors":"Mohd Qadafie Ibrahim, Fairuz Izzuddin Romli, Hambali Arep","doi":"10.37934/araset.43.1.112130","DOIUrl":"https://doi.org/10.37934/araset.43.1.112130","url":null,"abstract":"One of the primary issues with many product design and development processes today is to have a good balance between the elements of form and function. While all products must be able to perform their intended functions, considerations of aesthetic features are also necessary for them to be accepted as a good quality design. However, most available design and development processes of engineering products have been more focused on achieving the functional aspects and tend to treat the aesthetic aspects as less crucial features. This approach has led to many failed functional products in the market as their physical design lacks appealing factors to the targeted customers. To improve the situation, a new product design and development framework is proposed in this study to better facilitate designers or engineers in creating an all-rounded quality product design. This new method is developed based on the findings from a conducted survey among engineering students, who are future product design engineers, to identify and resolve issues with current methods that they use for their design tasks. All in all, the new proposed method is essentially tailored to offer a comprehensive guide for developing beautiful and useful products based on a semantics design approach.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban Farming Growth Monitoring System Using Artificial Neural Network (ANN) and Internet of Things (IOT)","authors":"Mohamed Mydin M. Abdul Kader, Muhammad Naufal Mansor, Wan Azani Mustafa, Zol Bahri Razali, Ahmad Anas Nagoor Gunny, Samsul Setumin, Muhammad Khusairi Osman, Mohaiyedin Idris, Muhammad Firdaus Akbar, Premavathy Kunasakaran, Muhammad Zubir Zainol, Nor Syamina Sharifful Mizam","doi":"10.37934/araset.43.1.144159","DOIUrl":"https://doi.org/10.37934/araset.43.1.144159","url":null,"abstract":"As an introduction to this project, the growth-related traits, such as above-ground biomass and leaf area, are critical indicators to characterize the growth of indoor lettuce plants. Currently, non-destructive methods for estimating growth-related traits are subject to limitations in that the methods are susceptible to noise and heavily rely on manually designed features. It is also one of the problem statements in this project. Based on this project the next problem is manual control of nutrients may cause quality issues to the lettuce plant. If the nutrient supply is too much or less, it will disturb the growth of the lettuce plant either the lettuce plant is dead or stunted. This project is about urban farming growth monitoring system using Artificial Neural Network (ANN) and Internet of Things (IoT). In this project, a method for monitoring the growth of indoor lettuce plants was proposed by using digital images and an ANN using Deep Learning Architecture. DLA is mostly developed by the software of MATLAB or Python to insert and run the coding. DLA is mostly used for image detection, pattern recognition, and natural language processing through the graph for Neural Network. Next, the Internet of Things (IoT) is a medium to store images of indoor lettuce plant growth into the Cloud (Google Drive). Furthermore, it takes indoor lettuce plant images as the input, an ANN was trained to learn the relationship between images and the corresponding growth- related traits with other fixed parameters. The pH level parameters were controlled by other fixed parameters to take the images of indoor lettuce plant growth. The parameters used in this project are temperature and humidity. This helps to compare the results of Artificial Neural Network (ANN), widely adopted methods were also used. Concisely, this project is expected to develop the Deep Learning Architecture using an Artificial Neural Network (ANN) with digital images as a robust tool for the monitoring of the growth of indoor lettuce plants every 30 minutes per day. Generally, focused on an urban farming growth monitoring system using Artificial Neural Network (ANN) and the Internet of Things (IoT).","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"24 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overview of Distribution System Reliability Optimization Against Lightning","authors":"Jia-Wen Tang, Chin-Leong Wooi, Wen-Shan Tan","doi":"10.37934/araset.43.1.131143","DOIUrl":"https://doi.org/10.37934/araset.43.1.131143","url":null,"abstract":"The reliability of the distribution system relies on the occurrence of lightning phenomena, which can significantly affect the distribution of electricity and result in power service disruptions. Therefore, ensuring the reliability of the distribution system is an ongoing challenge that necessitates continuous research for optimal solutions. Researchers have always developed solutions that are always up to date by leveraging advancements in mathematics, engineering technology, and management strategies. This paper presents a comprehensive summary and discussion of various optimization models for enhancing system reliability. It offers an overview of commonly employed mathematical programming techniques and algorithms for Lightning Protection Systems (LPSs), while also highlighting the influence of lightning phenomena on these solutions. The focus of this paper is to present the engineering aspects behind the development of modern LPSs. It encompasses historical reliability data, technical limitations, and economic considerations. By utilizing operations research and optimization theory, researchers have been able to devise more effective approaches for addressing reliability issues, even in highly intricate systems across different domains. Technological advancements have prompted researchers to adopt a new perspective on solving reliability problems, based on practical engineering requirements. In conclusion, the continuous progress in mathematics, engineering technology, and management approaches has enabled researchers to tackle the challenges associated with distribution system reliability. This paper serves as a valuable resource, providing insights into the development of modern LPSs and offering guidance on optimizing system reliability in various practical engineering scenarios.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"32 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decomposition of Disaster Region using Earthquake Parameter and STDM Distance: Catastrophe Bond Pricing Single Period","authors":"Wulan Anggraeni, Sudradjat Supian, Sukono, Nurfadhlina Abdul Halim","doi":"10.37934/araset.43.1.171200","DOIUrl":"https://doi.org/10.37934/araset.43.1.171200","url":null,"abstract":"Investor interest in single-regional earthquake catastrophe bonds has the potential to decline in the future. To pique investor interest, disaster bond prices can be determined by decomposed disaster zones using seismic parameters and Space Time Depth Magnitude (STDM) distance. Therefore, this study aims to develop a Decomposition of Disaster Region Using Earthquake Parameters and STDM Distance on the Earthquake Catastrophe Bond Pricing (DECBP) model for a single period. The basic idea of developing the model is to observe earthquake characteristics in an area by clustering the area based on the Earthquake Disaster Risk Index (EDRI), earthquake parameters (earthquake magnitude and depth), and STDM distance. The research and development (R&D) methodology used in this work is pursued through the creation of a mathematical model for calculating the price of earthquake catastrophe bonds over a single period. The development stages carried out are regional decomposition modelling, payment functions modelling, distribution of extreme earthquake magnitude values modelling, prediction of interest rates and coupons, numerical simulations, and analysis of the effect of interest rates, coupons, and the amount of regional decomposition on earthquake bond prices. Interest rates, coupons, and the number of regional decompositions that affect bond prices for earthquake events are the results of the analysis of the model that's been developed. The resulting model in this study is expected to assist the Super Purpose Vehicle (SPV) in determining the price of earthquake bonds and serve as a reference for future researchers developing models for the price of earthquake catastrophe bonds.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"106 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140724734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}