Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.001
Nurul Fathia Mohamand Noor, Herold Sylvestro Sipail, N. Ahmad, Bayram Annanurov, N. Mohd Noor
COVID-19 is an extremely contagious illness that causes illnesses varying from either the common cold to more chronic illnesses or even death. The constant mutation of a new variant of COVID-19 makes it important to identify the symptom of COVID-19 in order to contain the infection. The use of clustering and classification in machine learning is in mainstream use in different aspects of research, especially in recent years to generate useful knowledge on COVID-19outbreak. Many researchers have shared their COVID-19 data on public database and a lot of studies have been carried out. However, the meritof the dataset is unknown and analysis need to be carried by the researchers to check on its reliability. The dataset that is used in thisworkwas sourced from the Kaggle website. The data wasobtained through a survey collected from participants of various gender and age who had been to at least ten countries.There are four levels of severity based on the COVID-19 symptom, which was developed in accordance to World Health Organization (WHO)and the Indian Ministry of Health and Family Welfare recommendations. This paperpresented an inquiry on the dataset utilising supervised and unsupervised machine learning approaches in order to better comprehend the dataset.In this study, the analysisof the severity group based on theCOVID-19 symptomsusing supervised learning techniques employeda total of seven classifiers, namelythe K-NN, Linear SVM, Naive Bayes, Decision Tree (J48), Ada Boost, Bagging, and Stacking.For the unsupervised learning techniques, the clustering algorithm utilized in this work areSimple K-Means and Expectation-Maximization. From the result obtained from both supervised and unsupervised learning techniques, we observed that the result analysis yielded relatively poor classification and clustering results.The findings for the dataset analysed in this study donot appear to be providing the correctresult for the symptoms categorized against the severity levelwhich raises concerns about the validity and reliability of the dataset.
COVID-19是一种极具传染性的疾病，可导致各种疾病，从普通感冒到更慢性的疾病，甚至死亡。COVID-19新变体的不断突变使得识别COVID-19症状以控制感染变得非常重要。在机器学习中使用聚类和分类是不同研究方面的主流应用，特别是近年来用于生成有关covid -19疫情的有用知识。许多研究人员在公共数据库上分享了他们的新冠肺炎数据，并进行了大量研究。然而，数据集的价值是未知的，需要研究人员进行分析以检查其可靠性。本文中使用的数据集来自Kaggle网站。这些数据是通过一项调查获得的，调查对象来自不同性别和年龄的参与者，他们至少去过十个国家。根据世界卫生组织(WHO)和印度卫生和家庭福利部的建议，将新冠肺炎的症状分为4个严重程度。本文提出了利用监督和无监督机器学习方法对数据集进行查询，以便更好地理解数据集。在本研究中，基于covid -19症状的严重程度组分析使用了监督学习技术，共使用了7种分类器，即K-NN，线性支持向量机，朴素贝叶斯，决策树(J48)， Ada Boost, Bagging和Stacking。对于无监督学习技术，本工作中使用的聚类算法是简单K-Means和期望最大化。从监督学习和非监督学习技术的结果来看，我们观察到结果分析产生了相对较差的分类和聚类结果。本研究分析的数据集的结果似乎没有为根据严重程度分类的症状提供正确的结果，这引起了对数据集有效性和可靠性的担忧。
{"title":"COVID-19: Symptoms Clustering and Severity Classification Using Machine Learning Approach","authors":"Nurul Fathia Mohamand Noor, Herold Sylvestro Sipail, N. Ahmad, Bayram Annanurov, N. Mohd Noor","doi":"10.30880/ijie.2023.15.03.001","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.03.001","url":null,"abstract":"COVID-19 is an extremely contagious illness that causes illnesses varying from either the common cold to more chronic illnesses or even death. The constant mutation of a new variant of COVID-19 makes it important to identify the symptom of COVID-19 in order to contain the infection. The use of clustering and classification in machine learning is in mainstream use in different aspects of research, especially in recent years to generate useful knowledge on COVID-19outbreak. Many researchers have shared their COVID-19 data on public database and a lot of studies have been carried out. However, the meritof the dataset is unknown and analysis need to be carried by the researchers to check on its reliability. The dataset that is used in thisworkwas sourced from the Kaggle website. The data wasobtained through a survey collected from participants of various gender and age who had been to at least ten countries.There are four levels of severity based on the COVID-19 symptom, which was developed in accordance to World Health Organization (WHO)and the Indian Ministry of Health and Family Welfare recommendations. This paperpresented an inquiry on the dataset utilising supervised and unsupervised machine learning approaches in order to better comprehend the dataset.In this study, the analysisof the severity group based on theCOVID-19 symptomsusing supervised learning techniques employeda total of seven classifiers, namelythe K-NN, Linear SVM, Naive Bayes, Decision Tree (J48), Ada Boost, Bagging, and Stacking.For the unsupervised learning techniques, the clustering algorithm utilized in this work areSimple K-Means and Expectation-Maximization. From the result obtained from both supervised and unsupervised learning techniques, we observed that the result analysis yielded relatively poor classification and clustering results.The findings for the dataset analysed in this study donot appear to be providing the correctresult for the symptoms categorized against the severity levelwhich raises concerns about the validity and reliability of the dataset.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46795612","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.02.012
J. Makinda, K. Kassim, M. A. Hezmi, Nuraishah binti Zakaria
The hydraulic conductivity of mine waste soil is considered moderately high attributed to the high percentage of pore spaces. One of the risks associated with this poor property ispossibleintrusion of contaminated acid drainage into the groundwater or river. Biocementation using enzyme-induced calcite precipitation is a relatively new, more inventive, and environmentally sustainable method compared to the other techniques in improving soil properties. However, limited available data on how this method can be applied in improving heavy-metal contaminated mining wastes. This paper summarizes the effectofthis treatment,includingdifferent cementation concentrations, degree of compaction, curing temperatures and curingdurations in reducing the hydraulic conductivity of mining waste. Results obtained indicate a greater effect of 1.0M compared to 0.5Mconcentration, a degree of compaction of 80% compared to 70%,acuring temperature of 25 °C compared to 15 °C and 5 °C, and immediate reaction effect after 1then slowed down after 3 and 7-day curing. When compared to control samples, the reduction in hydraulic conductivity ranged from75.66to 97.14%. The positive result is attained due to the production of calcite, CaCO3that biocemented the soil particles together and reduced the pore spaces, indicated by their content obtained,ranging from 2.0-5.15% in the treated soil. Visualimages through SEM and spectra of x-ray diffraction confirmed the presence of CaCO3in soil particles. This work contributedsignificantly to the study of the properties of copper mine tailings in Ranau, Sabah, including the first study on biocementation of copper mine tailings. The method couldbe used to reduce the hydraulic conductivity of mining waste soils contaminated with heavy metals. Various scenarios such as curing temperature, duration, cementation concentration and degree of compaction have been proposed to optimize the effectiveness of the treatment.
{"title":"Hydraulic Conductivity of Mine Waste Treated Using Enzyme-Induced Calcite Precipitation Method Under Various Curing Conditions","authors":"J. Makinda, K. Kassim, M. A. Hezmi, Nuraishah binti Zakaria","doi":"10.30880/ijie.2023.15.02.012","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.02.012","url":null,"abstract":"The hydraulic conductivity of mine waste soil is considered moderately high attributed to the high percentage of pore spaces. One of the risks associated with this poor property ispossibleintrusion of contaminated acid drainage into the groundwater or river. Biocementation using enzyme-induced calcite precipitation is a relatively new, more inventive, and environmentally sustainable method compared to the other techniques in improving soil properties. However, limited available data on how this method can be applied in improving heavy-metal contaminated mining wastes. This paper summarizes the effectofthis treatment,includingdifferent cementation concentrations, degree of compaction, curing temperatures and curingdurations in reducing the hydraulic conductivity of mining waste. Results obtained indicate a greater effect of 1.0M compared to 0.5Mconcentration, a degree of compaction of 80% compared to 70%,acuring temperature of 25 °C compared to 15 °C and 5 °C, and immediate reaction effect after 1then slowed down after 3 and 7-day curing. When compared to control samples, the reduction in hydraulic conductivity ranged from75.66to 97.14%. The positive result is attained due to the production of calcite, CaCO3that biocemented the soil particles together and reduced the pore spaces, indicated by their content obtained,ranging from 2.0-5.15% in the treated soil. Visualimages through SEM and spectra of x-ray diffraction confirmed the presence of CaCO3in soil particles. This work contributedsignificantly to the study of the properties of copper mine tailings in Ranau, Sabah, including the first study on biocementation of copper mine tailings. The method couldbe used to reduce the hydraulic conductivity of mining waste soils contaminated with heavy metals. Various scenarios such as curing temperature, duration, cementation concentration and degree of compaction have been proposed to optimize the effectiveness of the treatment.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46800032","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.026
Siti Norshafika Mohd Zain, Muhammad Rusydi Muhammad Razif, Dalila Misman, Abdul Hafidz Yusoff, Mohd Sofiyan Sulaiman, Muslim Abdullah Zaik, Nizzal Syafiq Bostaman, Muhammad Noorazlan Abd Azis
This wireless monitoring system is developed to alert and warn the resident regarding the upcoming flood. Due to the floods that occur every year, especially during the monsoon season, the loss and damage done by this disaster are uncontrollable. When the water level rise-up above the safe ground, it may hit the communication substation, as well as the power tower. In most cases, many residents are not alert with their surroundings because there is no alert system that can remind them regarding to the issues that will arise. By not preparing themselves for the upcoming nature disaster, it could endanger themselves and destroy their property. Thus, this project focus on monitoring a real-time river water level system for flood prediction purposes which utilize three devices connected together in a centralized system. By having this system, people will be notified about the current situation and the water level of the river near to them via Internet of Things (IoT) such as Blynk application. ESP32 and ESP32-Cam are used as the main microcontroller to control the system. The sensor used to detect the water level at the river is TF Mini Lidar and ultrasonic sensor for the water level detection of the rain gauge. The ESP32-cam are used to monitor the surrounding area at the river. The combination of these three systems is used to monitor and predict the flood occurrence.
{"title":"Development of a Wireless Monitoring System to Monitor River Water Levels in Real Time","authors":"Siti Norshafika Mohd Zain, Muhammad Rusydi Muhammad Razif, Dalila Misman, Abdul Hafidz Yusoff, Mohd Sofiyan Sulaiman, Muslim Abdullah Zaik, Nizzal Syafiq Bostaman, Muhammad Noorazlan Abd Azis","doi":"10.30880/ijie.2023.15.03.026","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.03.026","url":null,"abstract":"This wireless monitoring system is developed to alert and warn the resident regarding the upcoming flood. Due to the floods that occur every year, especially during the monsoon season, the loss and damage done by this disaster are uncontrollable. When the water level rise-up above the safe ground, it may hit the communication substation, as well as the power tower. In most cases, many residents are not alert with their surroundings because there is no alert system that can remind them regarding to the issues that will arise. By not preparing themselves for the upcoming nature disaster, it could endanger themselves and destroy their property. Thus, this project focus on monitoring a real-time river water level system for flood prediction purposes which utilize three devices connected together in a centralized system. By having this system, people will be notified about the current situation and the water level of the river near to them via Internet of Things (IoT) such as Blynk application. ESP32 and ESP32-Cam are used as the main microcontroller to control the system. The sensor used to detect the water level at the river is TF Mini Lidar and ultrasonic sensor for the water level detection of the rain gauge. The ESP32-cam are used to monitor the surrounding area at the river. The combination of these three systems is used to monitor and predict the flood occurrence.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135315255","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.021
Hasliza Hassan, K. B. Hwa, S. I. M. Akhball, M.F. Kambas, I. I. Jamaludin
In this project, a 4x4 multiplier is implemented that utilizes the Urdhava Tiryakbhyam sutra method in Vedic mathematics. This method is applicable in all two decimal number multiplications which offers high speed calculation and improved efficiency. Thus, the design of a 4x4 Vedic-based multiplier is solely aimed at performing faster multiplications and achieving quicker processing speeds than the traditional multipliers. The architecture of the Vedic multiplier consists of four 2x2 multipliers and three adders of different bit sizes that are assembled using the Wallace tree implementation. The coding for the multipliers and adders is written in Verilog Hardware Description Language (HDL) in the Quartus Prime 17 Software. Functional simulation is then carried out to ensure that the Vedic multiplier performs the accurate multiplication operations, while the Verilog Compiled Simulator is employed to compile and simulate the multiplier design. Following this, the Design Compiler (DC) and Integrated Circuit Compiler (ICC) command scripts are then composed to allow the logic and physical synthesis to be performed on the Vedic and traditional multipliers. From there, the performance level of both these multipliers are assessed through reference to several key parameters such as timing, area, power consumption, overflow percentage and congestion statistics. Based on the results obtained in the synthesis process, the Vedic multiplier possesses faster operational speed than the traditional multiplier (due to a shorter processing time), butultimately exhibits a greater power consumption and wider area coverage.
在这个项目中，利用吠陀数学中的Urdhava Tiryakbhyam经方法实现了4x4倍增器。该方法适用于所有的二十进制数乘法，计算速度快，提高了运算效率。因此，基于vedic的4x4乘法器的设计仅仅是为了执行比传统乘法器更快的乘法和实现更快的处理速度。吠陀乘法器的架构由四个2x2乘法器和三个不同位大小的加法器组成，这些加法器使用华莱士树实现组装。乘法器和加法器的编码是在Quartus Prime 17软件中用Verilog硬件描述语言(HDL)编写的。然后进行功能仿真，以确保吠陀乘法器执行准确的乘法运算，同时使用Verilog编译模拟器对乘法器设计进行编译和仿真。在此之后，设计编译器(DC)和集成电路编译器(ICC)命令脚本被组成，以允许在吠陀和传统乘数器上执行逻辑和物理合成。在此基础上，通过参考几个关键参数(如时间、面积、功耗、溢出百分比和拥塞统计数据)来评估这两个乘法器的性能水平。根据合成过程中获得的结果，吠陀乘法器比传统乘法器具有更快的运算速度(由于处理时间更短)，但最终表现出更大的功耗和更广的覆盖范围。
{"title":"Design of Complex Multiplier Using Vedic Mathematics","authors":"Hasliza Hassan, K. B. Hwa, S. I. M. Akhball, M.F. Kambas, I. I. Jamaludin","doi":"10.30880/ijie.2023.15.03.021","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.03.021","url":null,"abstract":"In this project, a 4x4 multiplier is implemented that utilizes the Urdhava Tiryakbhyam sutra method in Vedic mathematics. This method is applicable in all two decimal number multiplications which offers high speed calculation and improved efficiency. Thus, the design of a 4x4 Vedic-based multiplier is solely aimed at performing faster multiplications and achieving quicker processing speeds than the traditional multipliers. The architecture of the Vedic multiplier consists of four 2x2 multipliers and three adders of different bit sizes that are assembled using the Wallace tree implementation. The coding for the multipliers and adders is written in Verilog Hardware Description Language (HDL) in the Quartus Prime 17 Software. Functional simulation is then carried out to ensure that the Vedic multiplier performs the accurate multiplication operations, while the Verilog Compiled Simulator is employed to compile and simulate the multiplier design. Following this, the Design Compiler (DC) and Integrated Circuit Compiler (ICC) command scripts are then composed to allow the logic and physical synthesis to be performed on the Vedic and traditional multipliers. From there, the performance level of both these multipliers are assessed through reference to several key parameters such as timing, area, power consumption, overflow percentage and congestion statistics. Based on the results obtained in the synthesis process, the Vedic multiplier possesses faster operational speed than the traditional multiplier (due to a shorter processing time), butultimately exhibits a greater power consumption and wider area coverage.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135315264","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.022
N.B. Salim, N.A. Zambri, M.B. Suhaimi, S. Y. Sim
Renewable energy sources (RES) are currently experiencing significant expansion, and the integration of these sources into power systems necessitates more complex auxiliary facilities. Battery energy storage systems (BESS) have been widely recognized in recent literature as an effective means of enhancing control capabilities. This study focuses on the implementation of an Automatic Generation Control (AGC) system with the integration of BESS in a multi-area network. Maintaining system frequency, especially during peak loads, poses challenges for AGC systems. The objective of this study is to investigate the utilization of BESS to enhance AGC for frequency control in power system networks. Additionally, the effectiveness of BESS in improving frequency control in multi-area networks is demonstrated through several case studies. The AGC and BESS simulations were conducted using MATLAB Simulink to evaluate the proposed frequency control method's effectiveness.
{"title":"Automatic Generation Control System: The Impact of Battery Energy Storage in Multi Area Network","authors":"N.B. Salim, N.A. Zambri, M.B. Suhaimi, S. Y. Sim","doi":"10.30880/ijie.2023.15.03.022","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.03.022","url":null,"abstract":"Renewable energy sources (RES) are currently experiencing significant expansion, and the integration of these sources into power systems necessitates more complex auxiliary facilities. Battery energy storage systems (BESS) have been widely recognized in recent literature as an effective means of enhancing control capabilities. This study focuses on the implementation of an Automatic Generation Control (AGC) system with the integration of BESS in a multi-area network. Maintaining system frequency, especially during peak loads, poses challenges for AGC systems. The objective of this study is to investigate the utilization of BESS to enhance AGC for frequency control in power system networks. Additionally, the effectiveness of BESS in improving frequency control in multi-area networks is demonstrated through several case studies. The AGC and BESS simulations were conducted using MATLAB Simulink to evaluate the proposed frequency control method's effectiveness.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135315272","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.02.001
N. Mustaffa, N. S. Nor Shahrudin, Mohd Feisal Hafiz Abdul Aziz, Aminuddin Mustaffa
The world is fixated on climate change because of its damageto the environment and the ripple effect it can have on people's health and the economy. This study aims to delve into research focusingon sustainable infrastructure development in Malaysia, as well as the main obstacles and approaches to taking on such a task. This study used a mixed-methods system, which allowed for the collectiona large amount of data and made it easy to compare results from different settings. The study found that more people are aware of sustainable impact assessment in infrastructure projects and familiar with resilient,sustainable development than sustainable performance evaluation. The studies also showed that the main problems in implementing sustainability include minimising adverse hazards, financial and budget investment issues, as well as inadequate governance and management. The proposed measures are broken down into monetary, institutional, and organisational themes. Possible steps toward a more sustainable infrastructure involve increasing green investment and financing, fostering green policies and environmental regulations, promoting green technologies and materials, andgrowing capacity through improved awareness andtraining. The findings of this study provide construction stakeholders with insight into an analysis of existing methodologies and strategies for integrating sustainable infrastructure development. Resolving obstacles and refining implementation tactics facilitated the effectiveness of the transformation towards a more sustainable infrastructure.
{"title":"Key Challenges and Strategies Towards Sustainable Infrastructure Development in Malaysia","authors":"N. Mustaffa, N. S. Nor Shahrudin, Mohd Feisal Hafiz Abdul Aziz, Aminuddin Mustaffa","doi":"10.30880/ijie.2023.15.02.001","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.02.001","url":null,"abstract":"The world is fixated on climate change because of its damageto the environment and the ripple effect it can have on people's health and the economy. This study aims to delve into research focusingon sustainable infrastructure development in Malaysia, as well as the main obstacles and approaches to taking on such a task. This study used a mixed-methods system, which allowed for the collectiona large amount of data and made it easy to compare results from different settings. The study found that more people are aware of sustainable impact assessment in infrastructure projects and familiar with resilient,sustainable development than sustainable performance evaluation. The studies also showed that the main problems in implementing sustainability include minimising adverse hazards, financial and budget investment issues, as well as inadequate governance and management. The proposed measures are broken down into monetary, institutional, and organisational themes. Possible steps toward a more sustainable infrastructure involve increasing green investment and financing, fostering green policies and environmental regulations, promoting green technologies and materials, andgrowing capacity through improved awareness andtraining. The findings of this study provide construction stakeholders with insight into an analysis of existing methodologies and strategies for integrating sustainable infrastructure development. Resolving obstacles and refining implementation tactics facilitated the effectiveness of the transformation towards a more sustainable infrastructure.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45473926","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.027
Maisarah Hassan, Muhammad Rusydi Muhammad Razif, Dalila Misman, Ili Najaa Aimi Mohd Nordin
This project discussed monitoring system in an assembly line to monitor and track the performance of the operators in industries. Industry is an important workplace around the world including research and development, design, process, production, quality assurance and so on. A large number of jobs involve humans, and there are also parts that require humans to work using machines, especially operational workers or operators. There are many systems developed in the industry that involve the operator, some of them are to monitor the machining process, and some are to monitor and control the machine. Assembly line operator performance is a critical aspect that severely affects the overall production performance in any production nature. Non-productive time contributes to inequality in task distribution that often results in bottleneck points on a production line. Therefore, the non-productive time is considered as a waste of resources that has a relative impact on the production yield of an industry. In this project, Radio Frequency Identification (RFID) is used on the production line as a monitoring system so that it can help organizations to increase the performance of the working environment among all the employees as well as to achieve better production yield by reducing the non-productive time of assembly line operator.
{"title":"Time Monitoring System for Assembly Line Operators Using RFID","authors":"Maisarah Hassan, Muhammad Rusydi Muhammad Razif, Dalila Misman, Ili Najaa Aimi Mohd Nordin","doi":"10.30880/ijie.2023.15.03.027","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.03.027","url":null,"abstract":"This project discussed monitoring system in an assembly line to monitor and track the performance of the operators in industries. Industry is an important workplace around the world including research and development, design, process, production, quality assurance and so on. A large number of jobs involve humans, and there are also parts that require humans to work using machines, especially operational workers or operators. There are many systems developed in the industry that involve the operator, some of them are to monitor the machining process, and some are to monitor and control the machine. Assembly line operator performance is a critical aspect that severely affects the overall production performance in any production nature. Non-productive time contributes to inequality in task distribution that often results in bottleneck points on a production line. Therefore, the non-productive time is considered as a waste of resources that has a relative impact on the production yield of an industry. In this project, Radio Frequency Identification (RFID) is used on the production line as a monitoring system so that it can help organizations to increase the performance of the working environment among all the employees as well as to achieve better production yield by reducing the non-productive time of assembly line operator.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135315256","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.003
A. I. Kamaruddin, M. Masrom, Mohd Azmarul A Aziz, M. Garraffa, N. Mohd Noor
Technology incorporation in speech therapy has been growing over the years. Mobile applications are among the adoptions that facilitate delivering speech therapy services. The situation in Malaysia is discouraging because there are not enough speech-language pathologists (SLPs) to serve the growing number of populations. Despite the abundance of available speech therapy mobile applications in the market, there is a lack of information focusing on the SLP’s knowledge and usage perspectives,especially inMalaysia.The objectives of this study are to describe the knowledge and usage perspectives of speech therapy mobile applications among SLPs in Malaysiaandto analyze the instructional features and functional features relationships within the perspectivesof SLPs.Surveys are established in three parts, with demographic questions in Part A, Likertscale responses for statements in Part B, and open-ended questions in Part C. This study is co-designed to relate to the results from an initial study that adopted PRISMA(PreferredReporting Items for Systematic Reviews and Meta-Analyses) and features analysis. The data from the initial study includes a review of 161 apps out of 1797 that have been identified. Five instructional features and nine functional features are presented. There are 35 SLPs participatingin the survey. Their responses demonstrate evidence of SLPs’knowledge and usage of speechtherapy mobile applications.We will propose a conceptual framework for the features of speechtherapy mobile applications,using peoplewith aphasiaas a point of reference for users with speech and language disorders
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Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.02.002
Amir Mohammad Alizada, Ehsanullah Waseem, Sakhiah Abdul Kudus, Zainorizuan Mohd Jaini
The cement composition of concrete directly affects the CO2emissions to the environment. UHPC (Ultra High-Performance Concrete) is a new type of concrete rapidly gaining popularity in the building industry due to its superior strength and endurance. In contrast to regular concrete, UHPC requires more than twice as much cement, making it more expensive and leaving a more significant carbon imprint. In this study, waste cement was substituted with 4%, 8%, and 12% special quarry dust from a manufacturer in Kuantan, Malaysia. Maximum compressive strength and quarry dust percentage are determined through experimentation and assessed in Design Expert Software. This investigation tested modified UHPC for strength, durability, and scanning electron microscope (SEM)appearance. Experiments show that substituting 21% quarry dust for cement yields the best outcomes. Since the particle size of quarry dust is finer than that of other matrices, it helps to reduce voids and boosts the UHPC's endurances. The quarry dust adds filler and a minor increase in viscosity to the UHPC, which is a better replacement for anhydrate cement in filler applications.
{"title":"Optimisation of Ultra-High-Performance Concrete with Special Quarry Dust","authors":"Amir Mohammad Alizada, Ehsanullah Waseem, Sakhiah Abdul Kudus, Zainorizuan Mohd Jaini","doi":"10.30880/ijie.2023.15.02.002","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.02.002","url":null,"abstract":"The cement composition of concrete directly affects the CO2emissions to the environment. UHPC (Ultra High-Performance Concrete) is a new type of concrete rapidly gaining popularity in the building industry due to its superior strength and endurance. In contrast to regular concrete, UHPC requires more than twice as much cement, making it more expensive and leaving a more significant carbon imprint. In this study, waste cement was substituted with 4%, 8%, and 12% special quarry dust from a manufacturer in Kuantan, Malaysia. Maximum compressive strength and quarry dust percentage are determined through experimentation and assessed in Design Expert Software. This investigation tested modified UHPC for strength, durability, and scanning electron microscope (SEM)appearance. Experiments show that substituting 21% quarry dust for cement yields the best outcomes. Since the particle size of quarry dust is finer than that of other matrices, it helps to reduce voids and boosts the UHPC's endurances. The quarry dust adds filler and a minor increase in viscosity to the UHPC, which is a better replacement for anhydrate cement in filler applications.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45487815","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}
Pub Date : 2023-07-31DOI: 10.30880/ijie.2023.15.03.010
Mad Kaidi H., Izhar M.A.M., Ahmad N., Dziyauddin R.A., Sarip S., Mashudi N.A., N. Mohamed, Sakib Jalil, Alam Khan M.A.
Smart healthcare is growing significantly in the healthcare sector due to the Internet of Things. A remote monitoring system is one of the smart healthcare implementations for rehabilitating stroke patients. Nowadays, as the COVID-19 pandemic continues tospread, patients undergoing home rehabilitation have difficulty meeting with their physicians due to movement constraints. In addition, the healthcare facilities are devoted to treating patients with COVID-19. As a result, physicians and patients could not frequently meet to gather their rehabilitation progress. This study involves developing a prototype to monitor a post-stroke patient's rehabilitation process using the Arduino Nano 33 Bluetooth Low Energy (BLE) and force-sensing resistor (FSR). The prototype analyzes critical aspects of the rehabilitation process based on handgrip, heart rate, sleep, and step tracking measurements. The results of the handgrip, heart rate, sleep, and step tracking measurements are evaluated for various types of subjects and six testing approaches showed an accurate and consistent results. However, experiments partially success with a small error is detected while tracking the steps of each subject. Several recommendations are highlighted to improve the prototype using othersensors such as force sensing resistor and flex sensor for handgrip force transducer, electromyogram (EMG) sensor for stroke-patients rehabilitation, and others.
{"title":"A Smart Iot-Based Prototype System For Rehabilitation Monitoring","authors":"Mad Kaidi H., Izhar M.A.M., Ahmad N., Dziyauddin R.A., Sarip S., Mashudi N.A., N. Mohamed, Sakib Jalil, Alam Khan M.A.","doi":"10.30880/ijie.2023.15.03.010","DOIUrl":"https://doi.org/10.30880/ijie.2023.15.03.010","url":null,"abstract":"Smart healthcare is growing significantly in the healthcare sector due to the Internet of Things. A remote monitoring system is one of the smart healthcare implementations for rehabilitating stroke patients. Nowadays, as the COVID-19 pandemic continues tospread, patients undergoing home rehabilitation have difficulty meeting with their physicians due to movement constraints. In addition, the healthcare facilities are devoted to treating patients with COVID-19. As a result, physicians and patients could not frequently meet to gather their rehabilitation progress. This study involves developing a prototype to monitor a post-stroke patient's rehabilitation process using the Arduino Nano 33 Bluetooth Low Energy (BLE) and force-sensing resistor (FSR). The prototype analyzes critical aspects of the rehabilitation process based on handgrip, heart rate, sleep, and step tracking measurements. The results of the handgrip, heart rate, sleep, and step tracking measurements are evaluated for various types of subjects and six testing approaches showed an accurate and consistent results. However, experiments partially success with a small error is detected while tracking the steps of each subject. Several recommendations are highlighted to improve the prototype using othersensors such as force sensing resistor and flex sensor for handgrip force transducer, electromyogram (EMG) sensor for stroke-patients rehabilitation, and others.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49114863","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}
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