Journal of Advanced Research in Applied Sciences and Engineering Technology最新文献_第10页

Sombor Index and Sombor Polynomial of the Noncommuting Graph Associated to Some Finite Groups 与某些有限群相关的非交换图的松博指数和松博多项式

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.112121

Sanhan Muhammad, Salih Khasraw, Nor Haniza, Sarmin, N. I. Alimon, Nabilah Najmuddin, Ismail

引用次数: 0

A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer 利用 Vosviewer 对物流领域新兴技术进行基于聚类的文献计量分析

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.234249

Davin Arkan Admoko, Bambang Darmawan, A. Ana, Vina Dwiyant i

{"title":"A Cluster-Based Bibliometric Analysis of the Emerging Technological Landscape in Logistics using Vosviewer","authors":"Davin Arkan Admoko, Bambang Darmawan, A. Ana, Vina Dwiyant i","doi":"10.37934/araset.42.2.234249","DOIUrl":"https://doi.org/10.37934/araset.42.2.234249","url":null,"abstract":"Emerging technology presents itself as a futuristic solution since its early development stage in the industry. Concurrently, the industry has proposed framework implementations as well as efforts to integrate emerging technologies in the supply chain, particularly in logistics. This study aimed to unveil the applicability of either supply chain or logistic functions in the present industry. This study used Publish and Perish to mine academic document data based on the keyword ‘Logistic’ and ‘Emerging technology’ in the past five years. Furthermore, the retrieved data were compiled and processed as a bibliographical map to visualize relevant clusters as the bottom-line discussion for this study. Five clusters had different items/keywords associated with them, excluding clusters three and four which were discussed in tandem. Cluster one revealed that AI and blockchain could support manufacturers for a circular economy business model through reverse logistics operations in the pandemic. Cluster two was a bigger picture discussing enhancement efficiency and risk reduction in the supply chain using AI, blockchain, and IoT. Clusters three and four had overlapping keywords specifying the discussion of blockchain implementation for the Agri-industry in China. Finally, cluster five reaffirmed the conceptualism of emerging technology integration for transportation from other clusters. Despite a unanimous agreement on the potential use of emerging technologies, challenges were also found, such as complex implementation, uncertain investment, and technology immaturity accompany. Thus, as the implication of this research, it reveals the capabilities and issues of the implementation of emerging technologies within multiple aspects of logistics and supply chain.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"758 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749316","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}

引用次数: 0

Development of Smart Chopper Composting Monitoring System 开发智能菜刀堆肥监控系统

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.197208

M. Khairul, Aiman Daud, Ili Najaa, Aimi Mohd Nordin, Tuan Noor, Hasanah Tuan Ismail, Effendy Adam, N. Zulkarnain, Muhammad Rusydi, Muhammad Razif, Tariq Rehman

{"title":"Development of Smart Chopper Composting Monitoring System","authors":"M. Khairul, Aiman Daud, Ili Najaa, Aimi Mohd Nordin, Tuan Noor, Hasanah Tuan Ismail, Effendy Adam, N. Zulkarnain, Muhammad Rusydi, Muhammad Razif, Tariq Rehman","doi":"10.37934/araset.42.2.197208","DOIUrl":"https://doi.org/10.37934/araset.42.2.197208","url":null,"abstract":"Overconsumption of food can result in environmental pollution, making it a particularly concerning issue in modern civilization. In Malaysia, food waste is generated at a rate of 16,688 tonnes per day. Despite its biodegradation properties and strong composting potential, about 80% of food waste is still disposed of in landfills. Air, soil and water pollution are risks often associated with food waste disposal. Since two-thirds of total waste is avoidable, preventing the rise of household food waste should be a top priority, among which is through composting. This project aims to build a smart composter that can chop food waste and monitor the mixing of food waste to become mature compost. A DC motor controlled by the Arduino Mega microcontroller was used to spin the chopper blades to shred the food into smaller sizes. Temperature, moisture and pH sensors were used to measure the essential parameters to ensure that the food waste mix can become mature compost. The Liquid-crystal display was used to display the parameter value in real time to facilitate the monitoring process. A fan will be activated if the temperature reaches 60 oC to reduce the heat, followed by a solenoid valve to increase the moisture level by supplying water to the compost when the compost is dry. The sensors were also compared with commonly used measuring devices to assess the effectiveness of the sensors used. From the results, all the sensors used were reliable as displayed by a high percentage of accuracy with an average error percentage per sensor of 3.45% for temperature, 2.62% for moisture and 3.52% for pH. Several improvements can be made in the future to achieve smaller amounts of chopped food waste in lesser time, which can be done by reducing the distance between the chopper blade and the container, besides adding more blades.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"518 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749948","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}

引用次数: 0

Implementation of Levenshtein Distance Algorithm for Product Search Query Suggestions on Koro Pedang Edutourism E-Commerce 在 Koro Pedang 教育旅游电子商务产品搜索查询建议中采用莱文斯坦距离算法

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.188196

H. Sadiah, Lia Dahlia Iryani, Tjut Awaliyah Zuraiyah, Yuli Wahyuni, C. Zaddana

{"title":"Implementation of Levenshtein Distance Algorithm for Product Search Query Suggestions on Koro Pedang Edutourism E-Commerce","authors":"H. Sadiah, Lia Dahlia Iryani, Tjut Awaliyah Zuraiyah, Yuli Wahyuni, C. Zaddana","doi":"10.37934/araset.42.2.188196","DOIUrl":"https://doi.org/10.37934/araset.42.2.188196","url":null,"abstract":"Users sometimes write queries that are inaccurate or typos in the product search contained in the Koro Pedang Educational Tourism e-commerce, so the system is not find product search results because the query entered in the system is incorrect. This can frustrate users because they cannot find the product they are looking for, so the users leave the website. According to these problems, it is necessary to suggest a query on the product search function. This is expected to assist users in finding the product they are looking for if there is an error in typing the query. This research purposes were to implement the Levenshtein Distance Algorithm for product search query suggestions on Koro Pedang Educational Tourism e-commerce. The stages of this research, namely the development of the search module, implementation of the Levenshtein Distance Algorithm and testing. The implementation of the Levenshtein Distance Algorithm in the search function for Koro Pedang Educational Tourism e-commerce products, a Suggestion Query is generated for Query typos in the search function with an accuracy value of 90%, Precision 95% and Recall 90.9%. This shows that the performance of the algorithm that has been applied to the search function for query suggestion is very good. The application of the Levenshtein Distance Algorithm gives a positive value to the usability of searching for e-commerce products for Koro Pedang Educational Tourism.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"248 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746398","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}

引用次数: 0

Bypassing Pre-processing Method in Alzheimer’s Disease Diagnosing using Deep Learning Instance Segmentation 利用深度学习实例分割绕过阿尔茨海默病诊断中的预处理方法

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-02-13 DOI: 10.37934/araset.39.2.153165

Tiew Yuan You, Mohd Ibrahim Shapiai, Fong Jia Xian, Nur Amirah Abd Hamid, RA Ghani, Noor Akhmad Setiawan

{"title":"Bypassing Pre-processing Method in Alzheimer’s Disease Diagnosing using Deep Learning Instance Segmentation","authors":"Tiew Yuan You, Mohd Ibrahim Shapiai, Fong Jia Xian, Nur Amirah Abd Hamid, RA Ghani, Noor Akhmad Setiawan","doi":"10.37934/araset.39.2.153165","DOIUrl":"https://doi.org/10.37934/araset.39.2.153165","url":null,"abstract":"Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that will cause the memory loss of patient and will progressively lead to loss of bodily function that will eventually lead to death. Therefore, diagnosing AD accurately is critical to provide the patients with suitable treatment to delay the progression of AD as well to facilitate the treatment interventions. Recent studies are more dependent on the Deep Learning Semantic Segmentation method to perform the Alzheimer's Disease diagnosis. However, semantic segmentation will segment every single pixel in the images which will affect the precision of the small targets like hippocampal region in MRI images, even though the overall loss is low enough. Therefore, a Deep Learning Instance Segmentation is introduced into the Alzheimer’s disease diagnosis field without using any pre-processing method. In this research, the Mask R-CNN will be used to localize the hippocampal region to do the segmentation, and then classified it as AD or NC. The dataset UTM_ADNI_RAW will be used in this study. The proposed method applied on UTM_ADNI_RAW shows the high accuracy of 92.67%. These results show that the proposed method to segment the hippocampal region without requiring pre-processing techniques has a good accuracy in classifying AD and NC subjects. In conclusion, the proposed Mask R-CNN generated a good result on segmenting the hippocampal region without requiring any pre-processing techniques.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"97 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839483","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}

引用次数: 0

Cloud Security System for ECG Transmission and Monitoring Based on Chaotic Logistic Maps 基于混沌逻辑图的心电图传输与监测云安全系统

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-02-13 DOI: 10.37934/araset.39.2.118

Rajasree Gopalakrishnan, Retnaswami Mathusoothana Satheesh Kumar

{"title":"Cloud Security System for ECG Transmission and Monitoring Based on Chaotic Logistic Maps","authors":"Rajasree Gopalakrishnan, Retnaswami Mathusoothana Satheesh Kumar","doi":"10.37934/araset.39.2.118","DOIUrl":"https://doi.org/10.37934/araset.39.2.118","url":null,"abstract":"Biomedical data or information must be transmitted securely via the internet for smart healthcare. The Electrocardiogram (ECG) signal is amongst the most essential clinical signals which must be delivered to hospital facilities. Prime focus of this research is on the encryption of ECG for secure transmission. Chaos theory is used for the development of deterministic nonlinear systems, that can be used to create random numbers for the Chaotic Logistic Map (CLM) based encryption. This study describes a cryptographic algorithm for encrypting ECG signals that uses a mix of the CLM and fingerprint data. The common factor between the patient section and monitoring section is the operation on sample data points of ECG. The choice of proper encryption and decryption theme can save more amount of time and is invulnerable both to noise-based attacks and hacking instances. The proposed framework is implemented on Dropbox based cloud storage and access is possible from any given locations. Simulation tests are used to assess the system performance in terms of Structural Similarity Index Matrix (SSIM), Histogram, Spectral Distortion (SD), Correlation and Log-Likelihood Ratio (LLR). The incorporation of complex layers of CLM encryption increases security.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840742","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}

引用次数: 0

Investigation of the Influence of Non-Routine and Derived Features in the Development of Early Detection Model for Transformer Health Index Classification 研究非日常特征和衍生特征对变压器健康指数分类早期检测模型开发的影响

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-02-13 DOI: 10.37934/araset.39.2.141152

Azlan Mohmad, Mohd Hatta Mohammed Ariff, Mohd Ibrahim Shapiai, Mohd Solehin Shamsudin, Norulhakima Zakaria, Mohammad Adnan Sujan, Rasli Ghani, Ifran Bahiuddin

{"title":"Investigation of the Influence of Non-Routine and Derived Features in the Development of Early Detection Model for Transformer Health Index Classification","authors":"Azlan Mohmad, Mohd Hatta Mohammed Ariff, Mohd Ibrahim Shapiai, Mohd Solehin Shamsudin, Norulhakima Zakaria, Mohammad Adnan Sujan, Rasli Ghani, Ifran Bahiuddin","doi":"10.37934/araset.39.2.141152","DOIUrl":"https://doi.org/10.37934/araset.39.2.141152","url":null,"abstract":"Establishing an effective HI model is challenging because it involves balancing cost, risk, and performance. The currently developed Reduced Features Model (RFM) for the transformer Health Index (HI) prediction may lead to late prediction. The RFM utilised non-routine input features to achieve a high-accuracy model where data availability is the primary concern. Hence, the common goal of Transformer Asset Management (TAM) in achieving acceptable availability and reliability of the transformer may not be achieved. In this paper, the primary objective is to investigate the performance of the HI model by considering routine test features as a baseline for developing the Early Detection Model (EDM). The development of EDM is significant, as the model shall provide a sustainable solution to the utility and plant owners in establishing their TAM strategies. Hence, this paper's case studies include performance investigation using routine, non-routine, and derived features from the routine test. Support Vector Machine (SVM) was used for the prediction modelling, and the model's performance was validated based on a 5-fold cross-validation technique to avoid biases. As a result, it was found that the average accuracy performance of 88.4% was obtained by considering only routine test features during the model validation process. However, complementing the routine test with other features, which were non-routine and derived features, increased the average performance accuracy model to 95.3%. Hence, further development of EDM is feasible and crucial for sustainable TAM solutions.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"60 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139841204","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}

引用次数: 0

Exploring the Impact of Mobile Augmented Reality on COVID-19 Prevention Education in Primary Schools 探索移动增强现实技术对小学 COVID-19 预防教育的影响

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-02-13 DOI: 10.37934/araset.39.2.231241

Farah Afiqah Affendi, Syahrul Nizam Junaini

{"title":"Exploring the Impact of Mobile Augmented Reality on COVID-19 Prevention Education in Primary Schools","authors":"Farah Afiqah Affendi, Syahrul Nizam Junaini","doi":"10.37934/araset.39.2.231241","DOIUrl":"https://doi.org/10.37934/araset.39.2.231241","url":null,"abstract":"This study aimed to evaluate the effectiveness of an interactive mobile Augmented Reality (AR) game to increase the knowledge about COVID-19 prevention primary school students. We tested the application for usability and effectiveness through pre- and post-tests, questionnaires, and interviews. 12 participants from four states in Malaysia took part in the study. Their average age is 9.5 years old. Results indicated a significant improvement in student performance from the pre-test to the post-test, with a mean score has increased from 3.67 to 8.25. The average System Usability Scale (SUS) score was 75%. These findings show the effectiveness of our mobile AR application as a tool to increase the knowledge about COVID-19 prevention among primary school. The findings of this study contribute to the body of research on the use of AR in COVID-19 prevention education among primary school students. This study provides both theoretical and practical implications for educators, researcher and policymakers seeking to use mobile AR to support the prevention education of any future pandemic or infectious disease.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139779853","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}

引用次数: 0

Detection Model for Ambiguous Intrusion using SMOTE and LSTM for Network Security 利用 SMOTE 和 LSTM 建立网络安全模糊入侵检测模型

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-02-13 DOI: 10.37934/araset.39.2.191203

Al-Ogaidi Ali Hameed Khalaf, Raihani Mohamed, Abdul Rafiez Abdul Raziff

{"title":"Detection Model for Ambiguous Intrusion using SMOTE and LSTM for Network Security","authors":"Al-Ogaidi Ali Hameed Khalaf, Raihani Mohamed, Abdul Rafiez Abdul Raziff","doi":"10.37934/araset.39.2.191203","DOIUrl":"https://doi.org/10.37934/araset.39.2.191203","url":null,"abstract":"In today's interconnected world, networks play a crucial role. Consequently, network security has become increasingly vital. To ensure network security, various methods are employed, including digital signatures, firewalls, and intrusion detection. Among these methods, intrusion detection systems have gained significant popularity due to their ability to identify new attacks. However, the accuracy of these systems still requires further improvement. One of the challenges is the potential bias introduced by using imbalance datasets that contains more information on normal activities than on attacks. To address it, SMOTE method was proposed and additionally, the study explores the use of Long Short-Term Memory (LSTM) for classification purposes. The experiments are conducted using two datasets: UNSW NB-15 and CICIDS 2017. The results obtained demonstrate that the proposed methods achieve an accuracy of 96% with the UNSW NB-15 dataset and 99% with the CICIDS 2017 dataset. These findings indicate an improvement of 3% and 1% respectively compared to existing literature.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"16 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780406","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}

引用次数: 0

Exploring the Impact of Mobile Augmented Reality on COVID-19 Prevention Education in Primary Schools 探索移动增强现实技术对小学 COVID-19 预防教育的影响

Journal of Advanced Research in Applied Sciences and Engineering Technology Pub Date : 2024-02-13 DOI: 10.37934/araset.39.2.231241

Farah Afiqah Affendi, Syahrul Nizam Junaini

{"title":"Exploring the Impact of Mobile Augmented Reality on COVID-19 Prevention Education in Primary Schools","authors":"Farah Afiqah Affendi, Syahrul Nizam Junaini","doi":"10.37934/araset.39.2.231241","DOIUrl":"https://doi.org/10.37934/araset.39.2.231241","url":null,"abstract":"This study aimed to evaluate the effectiveness of an interactive mobile Augmented Reality (AR) game to increase the knowledge about COVID-19 prevention primary school students. We tested the application for usability and effectiveness through pre- and post-tests, questionnaires, and interviews. 12 participants from four states in Malaysia took part in the study. Their average age is 9.5 years old. Results indicated a significant improvement in student performance from the pre-test to the post-test, with a mean score has increased from 3.67 to 8.25. The average System Usability Scale (SUS) score was 75%. These findings show the effectiveness of our mobile AR application as a tool to increase the knowledge about COVID-19 prevention among primary school. The findings of this study contribute to the body of research on the use of AR in COVID-19 prevention education among primary school students. This study provides both theoretical and practical implications for educators, researcher and policymakers seeking to use mobile AR to support the prevention education of any future pandemic or infectious disease.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"43 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839594","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}

引用次数: 0