The objective of this work is to develop porous maize stalk cellulose fiber-reinforced geopolymer composites for heat insulation on the bottom side of an electric stove using the solid impregnation method. Heat loss measurement is conducted using an infrared thermometer. Moreover, the temperature effect on the composites is investigated. The maize stalk cellulose fibers are very essential to anticipate the cracking phenomenon generated by high temperatures. The degradation of the fibers causes the formation of small cavities in the matrix, and thus leads to high temperatures. The experimental result shows that it takes 22 minutes to boil water using the proposed electric stove, whereas it takes 29 minutes using the existing local electric stove. By using the proposed electric stove to boil water, 113,793,148.104 KWh of energy per year at the national level can be saved.
{"title":"Porous Maize Stalk Cellulose Fiber-Reinforced Geopolymer Composites for Heat Insulation at the Bottom Side of a Local Electric Stove","authors":"Addisu Workiye, E. Woldesenbet","doi":"10.46604/peti.2022.8589","DOIUrl":"https://doi.org/10.46604/peti.2022.8589","url":null,"abstract":"The objective of this work is to develop porous maize stalk cellulose fiber-reinforced geopolymer composites for heat insulation on the bottom side of an electric stove using the solid impregnation method. Heat loss measurement is conducted using an infrared thermometer. Moreover, the temperature effect on the composites is investigated. The maize stalk cellulose fibers are very essential to anticipate the cracking phenomenon generated by high temperatures. The degradation of the fibers causes the formation of small cavities in the matrix, and thus leads to high temperatures. The experimental result shows that it takes 22 minutes to boil water using the proposed electric stove, whereas it takes 29 minutes using the existing local electric stove. By using the proposed electric stove to boil water, 113,793,148.104 KWh of energy per year at the national level can be saved.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48862257","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}
In gear applications, the initiation of cracks at or near the contact surfaces of gear mates occurs mostly due to the surface contact mode of gear failure. This study aims to investigate the influence of gear materials on the contact strength of spur gears. In this study, four different gear materials are selected and the contact stress on spur gear mates is analyzed. Hertz’s contact stress equation and ANSYS 16 are used for the theoretical analysis and finite element (FE) method, respectively. The results of Hertz’s equation are compared with the results of ANSYS 16. The results show that the contact stress on spur gear mates varies when different gear materials are used in both methods. This indicates that the surface contact strength of spur gears is greatly influenced by the type of gear materials.
{"title":"Effect of Gear Materials on the Surface Contact Strength of Spur Gears","authors":"E. Eskezia, Misganaw Abebaw","doi":"10.46604/peti.2022.8695","DOIUrl":"https://doi.org/10.46604/peti.2022.8695","url":null,"abstract":"In gear applications, the initiation of cracks at or near the contact surfaces of gear mates occurs mostly due to the surface contact mode of gear failure. This study aims to investigate the influence of gear materials on the contact strength of spur gears. In this study, four different gear materials are selected and the contact stress on spur gear mates is analyzed. Hertz’s contact stress equation and ANSYS 16 are used for the theoretical analysis and finite element (FE) method, respectively. The results of Hertz’s equation are compared with the results of ANSYS 16. The results show that the contact stress on spur gear mates varies when different gear materials are used in both methods. This indicates that the surface contact strength of spur gears is greatly influenced by the type of gear materials.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43811977","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}
C. Nayak, U. Jagadale, Sunil Bhimro Thakare, N. Suryawanshi, Gunavant K. Kate, W. N. Deulkar
To improve the lateral stiffness and economy, reinforced concrete shear walls are introduced in buildings. This study aims to conduct the seismic assessment of shear walls in a multi-storey building. In this work, various factors are investigated and their performance is compared for various shapes and types of shear walls with respect to strength, displacement, time period, etc. The building considered for the study purpose is a G+12 residential building and is situated in a high seismic zone. The response spectrum analysis of the building is carried out by using the software ETABS. The results show that shear walls not only reduce the seismic forces in a building, but also are advantageous if they are situated in proper positions.
{"title":"Seismic Vulnerability Assessment for Various Shapes and Types of Reinforced Concrete Shear Walls in Multi-Storey Buildings","authors":"C. Nayak, U. Jagadale, Sunil Bhimro Thakare, N. Suryawanshi, Gunavant K. Kate, W. N. Deulkar","doi":"10.46604/peti.2022.8372","DOIUrl":"https://doi.org/10.46604/peti.2022.8372","url":null,"abstract":"To improve the lateral stiffness and economy, reinforced concrete shear walls are introduced in buildings. This study aims to conduct the seismic assessment of shear walls in a multi-storey building. In this work, various factors are investigated and their performance is compared for various shapes and types of shear walls with respect to strength, displacement, time period, etc. The building considered for the study purpose is a G+12 residential building and is situated in a high seismic zone. The response spectrum analysis of the building is carried out by using the software ETABS. The results show that shear walls not only reduce the seismic forces in a building, but also are advantageous if they are situated in proper positions.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43224950","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}
K. Tseng, Meng-Yun Chung, Wei-Hong Jhou, Wei-Jer Chang, Chengli Xie
Body temperature is an important indicator of health monitoring. However, since animals are covered with fur, it is difficult to obtain their accurate body temperature with the traditional infrared measurement technology. To deal with this problem, this research proposes a non-contact real-time monitoring system using an infrared method combined with object detection. The system is developed based on general infrared thermal imaging technology and an infrared thermal imaging module with an image tracking algorithm. YOLO is used to detect animals, and a thermal imaging camera is used to measure the body surface temperature of animals. The result shows that the proposed system can accurately measure the body temperature of animals without being influenced by animals’ fur. In the future, it can be applied to monitor the body temperature of sick animals in veterinary hospitals.
{"title":"Development of Non-Contact Real-Time Monitoring System for Animal Body Temperature","authors":"K. Tseng, Meng-Yun Chung, Wei-Hong Jhou, Wei-Jer Chang, Chengli Xie","doi":"10.46604/peti.2022.8870","DOIUrl":"https://doi.org/10.46604/peti.2022.8870","url":null,"abstract":"Body temperature is an important indicator of health monitoring. However, since animals are covered with fur, it is difficult to obtain their accurate body temperature with the traditional infrared measurement technology. To deal with this problem, this research proposes a non-contact real-time monitoring system using an infrared method combined with object detection. The system is developed based on general infrared thermal imaging technology and an infrared thermal imaging module with an image tracking algorithm. YOLO is used to detect animals, and a thermal imaging camera is used to measure the body surface temperature of animals. The result shows that the proposed system can accurately measure the body temperature of animals without being influenced by animals’ fur. In the future, it can be applied to monitor the body temperature of sick animals in veterinary hospitals.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42089348","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}
Traditional swipe card attendance systems for hospitals cannot effectively protect employees’ personal information and ensure that the employees are swiping their own cards. To solve the problem, the present study proposes a novel hospital swipe card attendance system using an artificial intelligence (AI) face modeling system with an open-source face database. The proposed system employs a multi-task cascaded convolutional network (MTCNN) algorithm and FaceNet to improve the performance of face recognition. The system can compare the face of the one who swipes a card with the faces of cardholders in the database, thereby preventing the one from clocking in on behalf of others. The results show that the application of AI technology in the hospital swipe card attendance system can realize the promise of protecting employees’ personal information and verifying employees’ identities.
{"title":"Application of AI Face Recognition Technology in Swipe Card Attendance Systems for Hospitals","authors":"Te-Kwei Wang, Yu-Hsun Lin, Kai-Ping Li","doi":"10.46604/peti.2022.8984","DOIUrl":"https://doi.org/10.46604/peti.2022.8984","url":null,"abstract":"Traditional swipe card attendance systems for hospitals cannot effectively protect employees’ personal information and ensure that the employees are swiping their own cards. To solve the problem, the present study proposes a novel hospital swipe card attendance system using an artificial intelligence (AI) face modeling system with an open-source face database. The proposed system employs a multi-task cascaded convolutional network (MTCNN) algorithm and FaceNet to improve the performance of face recognition. The system can compare the face of the one who swipes a card with the faces of cardholders in the database, thereby preventing the one from clocking in on behalf of others. The results show that the application of AI technology in the hospital swipe card attendance system can realize the promise of protecting employees’ personal information and verifying employees’ identities.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49427899","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}
Harmful environments can cause severe health problems to individuals. Thus, this study proposes a solar-powered wireless sensor system to monitor the physical parameters of an ambient environment in real-time. This system is developed based on two sensors and a NodeMCU board that includes a microcontroller with a Wi-Fi chip. This system is built to measure the ambient temperature, relative humidity, atmospheric pressure, and ultraviolet (UV) index. The power supply of the system is a solar energy harvester, which consists of a solar cell, a DC-DC converter, and a rechargeable battery. This harvester is practically tested outdoors under direct sunlight. The proposed system experimentally consumes an average power of 40 mW over one hour, and the lifetime of this system is 123 hours in the active-sleep mode. The results demonstrate that the system can sustainably operate for monitoring the environmental data.
{"title":"A Solar Energy Harvester for a Wireless Sensor System toward Environmental Monitoring","authors":"S. Mohsen","doi":"10.46604/peti.2022.9210","DOIUrl":"https://doi.org/10.46604/peti.2022.9210","url":null,"abstract":"Harmful environments can cause severe health problems to individuals. Thus, this study proposes a solar-powered wireless sensor system to monitor the physical parameters of an ambient environment in real-time. This system is developed based on two sensors and a NodeMCU board that includes a microcontroller with a Wi-Fi chip. This system is built to measure the ambient temperature, relative humidity, atmospheric pressure, and ultraviolet (UV) index. The power supply of the system is a solar energy harvester, which consists of a solar cell, a DC-DC converter, and a rechargeable battery. This harvester is practically tested outdoors under direct sunlight. The proposed system experimentally consumes an average power of 40 mW over one hour, and the lifetime of this system is 123 hours in the active-sleep mode. The results demonstrate that the system can sustainably operate for monitoring the environmental data.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45503171","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}
In bio-impedance analysis (BIA), high-frequency low-amplitude alternating current (AC) signals can incur time delays due to the capacitive nature of human cell membranes, and the characteristics of human tissues can be assessed from these delays in terms of phase changes. To accurately measure the phase changes, this work proposes a modified digital correlation-based phase measurement method. The accuracy of the general correlation technique is improved through digital direct synthesis (DDS) and digital correlation of unipolar square input signals. The proposed method is established through memory management and frequency adjustment. The result shows that, compared to the existing methods, the proposed method needs fewer hardware components, has better accuracy of 0.2° and higher frequency compatibility from 5 kHz to 1 MHz, and requires lower cost (140 USD). The method can be applied for the BIA of all types of tissues (recently used in COVID detection and care) and for the applications where efficient phase measurement is required.
{"title":"Modified Digital Correlation Technique for Accurate Phase Measurement in Multi-Frequency Bio-Impedance Analysis","authors":"S. S, R. Dhavse, J. Sarvaiya","doi":"10.46604/peti.2022.8556","DOIUrl":"https://doi.org/10.46604/peti.2022.8556","url":null,"abstract":"In bio-impedance analysis (BIA), high-frequency low-amplitude alternating current (AC) signals can incur time delays due to the capacitive nature of human cell membranes, and the characteristics of human tissues can be assessed from these delays in terms of phase changes. To accurately measure the phase changes, this work proposes a modified digital correlation-based phase measurement method. The accuracy of the general correlation technique is improved through digital direct synthesis (DDS) and digital correlation of unipolar square input signals. The proposed method is established through memory management and frequency adjustment. The result shows that, compared to the existing methods, the proposed method needs fewer hardware components, has better accuracy of 0.2° and higher frequency compatibility from 5 kHz to 1 MHz, and requires lower cost (140 USD). The method can be applied for the BIA of all types of tissues (recently used in COVID detection and care) and for the applications where efficient phase measurement is required.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49647004","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}
This study aims to explore the effectiveness of the Shapley additive explanation (SHAP) technique in developing a transparent, interpretable, and explainable ensemble method for heart disease diagnosis using random forest algorithms. Firstly, the features with high impact on the heart disease prediction are selected by SHAP using 1025 heart disease datasets, obtained from a publicly available Kaggle data repository. After that, the features which have the greatest influence on the heart disease prediction are used to develop an interpretable ensemble learning model to automate the heart disease diagnosis by employing the SHAP technique. Finally, the performance of the developed model is evaluated. The SHAP values are used to obtain better performance of heart disease diagnosis. The experimental result shows that 100% prediction accuracy is achieved with the developed model. In addition, the experiment shows that age, chest pain, and maximum heart rate have positive impact on the prediction outcome.
{"title":"Evaluation of the Shapley Additive Explanation Technique for Ensemble Learning Methods","authors":"Tsehay Admassu Assegie","doi":"10.46604/peti.2022.9025","DOIUrl":"https://doi.org/10.46604/peti.2022.9025","url":null,"abstract":"This study aims to explore the effectiveness of the Shapley additive explanation (SHAP) technique in developing a transparent, interpretable, and explainable ensemble method for heart disease diagnosis using random forest algorithms. Firstly, the features with high impact on the heart disease prediction are selected by SHAP using 1025 heart disease datasets, obtained from a publicly available Kaggle data repository. After that, the features which have the greatest influence on the heart disease prediction are used to develop an interpretable ensemble learning model to automate the heart disease diagnosis by employing the SHAP technique. Finally, the performance of the developed model is evaluated. The SHAP values are used to obtain better performance of heart disease diagnosis. The experimental result shows that 100% prediction accuracy is achieved with the developed model. In addition, the experiment shows that age, chest pain, and maximum heart rate have positive impact on the prediction outcome.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41450350","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}
Nowadays, more distributed generations (DGs) are connected to a radial distribution network, so conventional overcurrent relays cannot operate correctly when a fault occurs in the network. This study proposes a method to determine the fault direction in a three-phase distribution network integrated with DGs. The obtained pre-fault and fault currents are utilized to extract their phasors by the fast Fourier transform, and the phase angle difference between the positive-sequence components of the pre-fault and fault currents is used. Moreover, the method only uses the local current measurement to calculate and identify the phase angle change of the fault current without using the voltage measurement. Matlab/Simulink software is used to simulate the three-phase distribution network integrated with DGs. The faults with different resistances are assumed to occur at backward and forward fault locations. The simulation results show that the proposed method correctly determines the fault direction.
{"title":"A Method Based on Only Currents for Determining Fault Direction in Radial Distribution Networks Integrated with Distributed Generations","authors":"N. Khoa, Tran Xuan Khoa","doi":"10.46604/peti.2021.8420","DOIUrl":"https://doi.org/10.46604/peti.2021.8420","url":null,"abstract":"Nowadays, more distributed generations (DGs) are connected to a radial distribution network, so conventional overcurrent relays cannot operate correctly when a fault occurs in the network. This study proposes a method to determine the fault direction in a three-phase distribution network integrated with DGs. The obtained pre-fault and fault currents are utilized to extract their phasors by the fast Fourier transform, and the phase angle difference between the positive-sequence components of the pre-fault and fault currents is used. Moreover, the method only uses the local current measurement to calculate and identify the phase angle change of the fault current without using the voltage measurement. Matlab/Simulink software is used to simulate the three-phase distribution network integrated with DGs. The faults with different resistances are assumed to occur at backward and forward fault locations. The simulation results show that the proposed method correctly determines the fault direction.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44606913","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}
Arif Hussain, Hassaan Malik, Muhammad Umar Chaudhry
Detecting cardiovascular disease (CVD) in the early stage is a difficult and crucial process. The objective of this study is to test the capability of machine learning (ML) methods for accurately diagnosing the CVD outcomes. For this study, the efficiency and effectiveness of four well renowned ML classifiers, i.e., support vector machine (SVM), logistics regression (LR), naive Bayes (NB), and decision tree (J48), are measured in terms of precision, sensitivity, specificity, accuracy, Matthews correlation coefficient (MCC), correctly and incorrectly classified instances, and model building time. These ML classifiers are applied on publically available CVD dataset. In accordance with the measured result, J48 performs better than its competitor classifiers, providing significant assistance to the cardiologists.
{"title":"Supervised Learning Based Classification of Cardiovascular Diseases","authors":"Arif Hussain, Hassaan Malik, Muhammad Umar Chaudhry","doi":"10.46604/peti.2021.7217","DOIUrl":"https://doi.org/10.46604/peti.2021.7217","url":null,"abstract":"Detecting cardiovascular disease (CVD) in the early stage is a difficult and crucial process. The objective of this study is to test the capability of machine learning (ML) methods for accurately diagnosing the CVD outcomes. For this study, the efficiency and effectiveness of four well renowned ML classifiers, i.e., support vector machine (SVM), logistics regression (LR), naive Bayes (NB), and decision tree (J48), are measured in terms of precision, sensitivity, specificity, accuracy, Matthews correlation coefficient (MCC), correctly and incorrectly classified instances, and model building time. These ML classifiers are applied on publically available CVD dataset. In accordance with the measured result, J48 performs better than its competitor classifiers, providing significant assistance to the cardiologists.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48683593","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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