Pub Date : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989169
Tuan-Tu Huynh, D. Pham, Nguyen Thanh Son
A brain emotional fuzzy cerebellar model articulation controller (CMAC) is developed in this study, which is a combination of the mathematical models of a brain emotional learning control (BELC) and a CMAC. The proposed BEFCC has the advantages of fuzzy inference, decision-making, and emotional activity. Firstly, a synchronization of the 4D hyper-jerk hyperchaotic system is simulated. Secondly, the proposed BEFCC synchronization technique is used for audio secure communication. A real source audio signal is added to a chaotic trajectory and it is used as the scrambled carrier signal. Then the synchronization using the BEFCC is used for decoding, so the original signal can be recovered. The comparison of the results through the root mean square error of the fuzzy CMAC, fuzzy BELC, and the proposed method is given to illustrate their effectiveness.
{"title":"A Brain Emotional Fuzzy CMAC for Chaos Synchronization and Communication","authors":"Tuan-Tu Huynh, D. Pham, Nguyen Thanh Son","doi":"10.1109/GTSD54989.2022.9989169","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989169","url":null,"abstract":"A brain emotional fuzzy cerebellar model articulation controller (CMAC) is developed in this study, which is a combination of the mathematical models of a brain emotional learning control (BELC) and a CMAC. The proposed BEFCC has the advantages of fuzzy inference, decision-making, and emotional activity. Firstly, a synchronization of the 4D hyper-jerk hyperchaotic system is simulated. Secondly, the proposed BEFCC synchronization technique is used for audio secure communication. A real source audio signal is added to a chaotic trajectory and it is used as the scrambled carrier signal. Then the synchronization using the BEFCC is used for decoding, so the original signal can be recovered. The comparison of the results through the root mean square error of the fuzzy CMAC, fuzzy BELC, and the proposed method is given to illustrate their effectiveness.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"61 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116385605","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989185
Sameena Pathan, D. Rao, Preetham Kumar
Lymphography, considered a corner stone in prognosis and diagnosis of lymphatic disorders continues to be a gold standard of reference in spite of the advancements in health technologies. However, analyzing the lymphatic characteristics implicitly curtails the diagnostic accuracy of few dreaded cancers such as lymphoma, malign lymph's etc., Thus to provide objective diagnosis computer aided diagnostic tools (CAD) play a prominent role. In this research, the role of robust machine learning classifiers in classifying lymphatic characteristics is proposed. The highest accuracy obtained by considering the prominent lymph characteristics is 85%. A good balance between specificity and sensitivity was obtained. The proposed system can be employed in a clinical scenario particularly in regions with poor medical infrastructures.
{"title":"Lymph Node Morbidity Diagnosis Using Multiclass Machine Learning Models","authors":"Sameena Pathan, D. Rao, Preetham Kumar","doi":"10.1109/GTSD54989.2022.9989185","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989185","url":null,"abstract":"Lymphography, considered a corner stone in prognosis and diagnosis of lymphatic disorders continues to be a gold standard of reference in spite of the advancements in health technologies. However, analyzing the lymphatic characteristics implicitly curtails the diagnostic accuracy of few dreaded cancers such as lymphoma, malign lymph's etc., Thus to provide objective diagnosis computer aided diagnostic tools (CAD) play a prominent role. In this research, the role of robust machine learning classifiers in classifying lymphatic characteristics is proposed. The highest accuracy obtained by considering the prominent lymph characteristics is 85%. A good balance between specificity and sensitivity was obtained. The proposed system can be employed in a clinical scenario particularly in regions with poor medical infrastructures.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122004972","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989320
Q. Huỳnh, Ngoc Tham Ngo Thi
In the last few years, there has been speedily developing and popularizing of hybrid electric vehicle (HEV) in the market. There are varieties of HEV types, and the degree to which they function as electric vehicle varies as well. HEVs make use of efficiency-improving technology to improve fuel consumption and emissions. Especially, the power-split HEV has combined the advantages of series and parallel hybrids. The control algorithms of the HEV have been developed diversely. These algorithms depended on the configuration of HEV and main components such as internal combustion engine, motors/generators, battery, and power-split device. Moreover, the control strategy is “the heart” of HEV, and it is very complex. Therefore, to improve performances of HEV, the control strategy must be developed and perfected. This study focused on developing control strategies of power flow in power-split HEV system. Based on the analysis of efficiency in a representative driving cycle, two control strategies, rule-based and fuzzy torque control strategies, were developed to optimize the power management of the power-split HEV. The first proposed control strategy was designed with “if-then” rules to control on or off internal combustion engine (ICE) and traction motor. The second one, the fuzzy-based controller, was developed with fuzzy logic to control ICE and motor. The simulation results of the proposed HEV control strategies were compared the fuel economy with real HEV. The power-split HEV model had been built with Matlab/Simulink package, and the simulation results showed significant improvements in fuel consumption.
{"title":"Development of Torque-Speed Control Algorithms For Power-Split Hybrid Electric Vehicle","authors":"Q. Huỳnh, Ngoc Tham Ngo Thi","doi":"10.1109/GTSD54989.2022.9989320","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989320","url":null,"abstract":"In the last few years, there has been speedily developing and popularizing of hybrid electric vehicle (HEV) in the market. There are varieties of HEV types, and the degree to which they function as electric vehicle varies as well. HEVs make use of efficiency-improving technology to improve fuel consumption and emissions. Especially, the power-split HEV has combined the advantages of series and parallel hybrids. The control algorithms of the HEV have been developed diversely. These algorithms depended on the configuration of HEV and main components such as internal combustion engine, motors/generators, battery, and power-split device. Moreover, the control strategy is “the heart” of HEV, and it is very complex. Therefore, to improve performances of HEV, the control strategy must be developed and perfected. This study focused on developing control strategies of power flow in power-split HEV system. Based on the analysis of efficiency in a representative driving cycle, two control strategies, rule-based and fuzzy torque control strategies, were developed to optimize the power management of the power-split HEV. The first proposed control strategy was designed with “if-then” rules to control on or off internal combustion engine (ICE) and traction motor. The second one, the fuzzy-based controller, was developed with fuzzy logic to control ICE and motor. The simulation results of the proposed HEV control strategies were compared the fuel economy with real HEV. The power-split HEV model had been built with Matlab/Simulink package, and the simulation results showed significant improvements in fuel consumption.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"166 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125974677","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989160
Vinh-Quan Nguyen, T. Le, Nhan-Bon Nguyen, M. Nguyen
This paper presents a new robust adaptive control based on Sliding Mode Control (SMC) for the cascaded H-bridge five-level inverter. The proposed method develops to modulate PWM pulses instead of using carrier waves as conventional modulation techniques. The control law of the controller improved with the nonlinear sliding-mode surface and continuous function combined with a first-order low-pass filter. Thus, the chattering phenomenon can eliminate. The control signal u(t) uses to compare with levels of comparison to generate the PWM pulse instead of the carrier waves. The Lyapunov function is applied to confirm the stability of the control system. The simulation and experimental results proved that the proposed SMC method ensures fast convergence, strong robustness, and elimination chattering. Moreover, the multi-level inverter control performance can enhance with switching frequency reduction, reduction of total harmonic distortion, Common-Mode (CM) voltage reduction, low losses, and less memory requirement.
{"title":"A Robust Adaptive Control for Multi-level Inverters Based on Sliding Mode Control","authors":"Vinh-Quan Nguyen, T. Le, Nhan-Bon Nguyen, M. Nguyen","doi":"10.1109/GTSD54989.2022.9989160","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989160","url":null,"abstract":"This paper presents a new robust adaptive control based on Sliding Mode Control (SMC) for the cascaded H-bridge five-level inverter. The proposed method develops to modulate PWM pulses instead of using carrier waves as conventional modulation techniques. The control law of the controller improved with the nonlinear sliding-mode surface and continuous function combined with a first-order low-pass filter. Thus, the chattering phenomenon can eliminate. The control signal u(t) uses to compare with levels of comparison to generate the PWM pulse instead of the carrier waves. The Lyapunov function is applied to confirm the stability of the control system. The simulation and experimental results proved that the proposed SMC method ensures fast convergence, strong robustness, and elimination chattering. Moreover, the multi-level inverter control performance can enhance with switching frequency reduction, reduction of total harmonic distortion, Common-Mode (CM) voltage reduction, low losses, and less memory requirement.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"111 3S 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125766153","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989306
O. Kumar, Pramod Kumar, T. Ali
Ultrawideband (UWB) technology is the current and future demand of new generation (i.e., 5G and 6G) mobile networks since it facilitates higher data rates over a short distance. Thus, to cater to this demand of the future generation mobile network, a novel arc-shaped UWB antenna with a partial ground plane is proposed in this paper. The arc-shaped radiator helps in achieving a better S11 parameter (S11 < −10 dB) throughout the UWB operating range. Wide bandwidth is achieved using the partial ground plane. A dual resonance dip in the whole range of UWB frequencies is also observed in the design. The proposed UWB antenna operated from 3.5-13.6 GHz, thereby helping in achieving a bandwidth of 10.1 GHz and fractional bandwidth of 118%. Throughout this UWB range, VSWR is observed to be in the range of 1 to 2. The antenna has gain ranging from 2.5-8.5 dB throughout the operating bandwidth. The proposed UWB antenna has the pros of miniature size, better impedance matching, simple design, and high gain that can easily utilize to deploy the antenna for the aforementioned applications.
{"title":"A Novel Arc-shaped UWB Antenna for Wireless Applications","authors":"O. Kumar, Pramod Kumar, T. Ali","doi":"10.1109/GTSD54989.2022.9989306","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989306","url":null,"abstract":"Ultrawideband (UWB) technology is the current and future demand of new generation (i.e., 5G and 6G) mobile networks since it facilitates higher data rates over a short distance. Thus, to cater to this demand of the future generation mobile network, a novel arc-shaped UWB antenna with a partial ground plane is proposed in this paper. The arc-shaped radiator helps in achieving a better S11 parameter (S11 < −10 dB) throughout the UWB operating range. Wide bandwidth is achieved using the partial ground plane. A dual resonance dip in the whole range of UWB frequencies is also observed in the design. The proposed UWB antenna operated from 3.5-13.6 GHz, thereby helping in achieving a bandwidth of 10.1 GHz and fractional bandwidth of 118%. Throughout this UWB range, VSWR is observed to be in the range of 1 to 2. The antenna has gain ranging from 2.5-8.5 dB throughout the operating bandwidth. The proposed UWB antenna has the pros of miniature size, better impedance matching, simple design, and high gain that can easily utilize to deploy the antenna for the aforementioned applications.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127471543","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989018
Tran Thi Mai Trang, Huynh Xuan Phung
Inference models in natural language predict whether a hypothesis sentence can be inferred from a premise sentence or not. Understanding the inference properties of natural language can elevate the representation of the semantics context. Many studies on this field are in English, but few are in Vietnamese. So, we introduce the Natural Language Inference corpus in Vietnamese using the Tale of Kieu, “Truyên Kiêu”, which Nguyên Du wrote. The dataset includes the premise of the poems in “Truyên Kiêu”; the hypothesis is that the conclusions are gathered from the “Kieu fortune-telling”. We make the following contributions: (i) provided the corpus for applying machine learning to semantic representation in the Vietnamese language; (ii) inference models in a natural language using machine learning method to predict the relationship between premise and hypothesis sentences. Finally, our research helps keep the traditional beauty of “Truyên Kiêu” in general and the culture of “Kieu fortune-telling” in particular.
{"title":"Natural language inference model for the Vietnamese language with machine learning algorithms: a view from “Truyen Kieu”","authors":"Tran Thi Mai Trang, Huynh Xuan Phung","doi":"10.1109/GTSD54989.2022.9989018","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989018","url":null,"abstract":"Inference models in natural language predict whether a hypothesis sentence can be inferred from a premise sentence or not. Understanding the inference properties of natural language can elevate the representation of the semantics context. Many studies on this field are in English, but few are in Vietnamese. So, we introduce the Natural Language Inference corpus in Vietnamese using the Tale of Kieu, “Truyên Kiêu”, which Nguyên Du wrote. The dataset includes the premise of the poems in “Truyên Kiêu”; the hypothesis is that the conclusions are gathered from the “Kieu fortune-telling”. We make the following contributions: (i) provided the corpus for applying machine learning to semantic representation in the Vietnamese language; (ii) inference models in a natural language using machine learning method to predict the relationship between premise and hypothesis sentences. Finally, our research helps keep the traditional beauty of “Truyên Kiêu” in general and the culture of “Kieu fortune-telling” in particular.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131480789","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989271
N. Anh, Phong Trinh Dac, Chu Đức Hùng, N. Khoa
The research and development of clean energy sources to gradually replace fossil fuel sources and contribute to reducing environmental pollution is an inevitable trend. Specifically, an alternative energy source that uses petroleum as a mode of transportation. Today, the development of electric vehicles has quickly been the focus of many countries. This is considered an effective solution to ensure energy security and environmental problems. In Vietnam, the number of internal combustion engine vehicles is very large, the policies to support electric vehicles are not complete, and the infrastructure is not yet ready, so the transition to using electric vehicles is really a big and complicated problem. Currently, there is no comprehensive study on the situation and development trend of electric vehicles in Vietnam. In this article, we present the current status of automobile development in Vietnam and the factors affecting the development of electric vehicles through an expert workshop, proposing long-term solutions through experiences from countries such as Thailand and Indonesia.
{"title":"The Status of Electric Vehicle in Vietnam and Experiences from Thailand and Indonesia","authors":"N. Anh, Phong Trinh Dac, Chu Đức Hùng, N. Khoa","doi":"10.1109/GTSD54989.2022.9989271","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989271","url":null,"abstract":"The research and development of clean energy sources to gradually replace fossil fuel sources and contribute to reducing environmental pollution is an inevitable trend. Specifically, an alternative energy source that uses petroleum as a mode of transportation. Today, the development of electric vehicles has quickly been the focus of many countries. This is considered an effective solution to ensure energy security and environmental problems. In Vietnam, the number of internal combustion engine vehicles is very large, the policies to support electric vehicles are not complete, and the infrastructure is not yet ready, so the transition to using electric vehicles is really a big and complicated problem. Currently, there is no comprehensive study on the situation and development trend of electric vehicles in Vietnam. In this article, we present the current status of automobile development in Vietnam and the factors affecting the development of electric vehicles through an expert workshop, proposing long-term solutions through experiences from countries such as Thailand and Indonesia.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133297249","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989144
Mouna Mazzi, N. Debnath
This study attempts to understand the students' acceptance of e-learning in Higher Education (HE) institutions. To better understand the facets that influence the acceptance of the use of e-learning by students, the authors have focused on frameworks that have in common the analysis of Human-Computer Interaction (HCI) from the point of view of the user's perception. This paper provides a theoretical framework for sustainable e-learning applied in HE institutions and aims to build a conceptual model using TAM, EVT, and QiU, that would help better understand the diverse dimensions that could predict HE students' continuous use of e-Learning. The main contribution of this research is the identification of antecedents to the intention to use e-learning by integrating three well-known frameworks related to technology use/adoption, namely TAM, EVT, and QiU in reliance on the cognitive process - involving perception- rather than the properties of the software itself. Moreover, HCI, technology use, and e-learning literature helped to analyze the similarities as well as the significance of constructs, which the authors synthesized through an e-Learning Acceptance Model. The new model will also help potential future research.
{"title":"Sustainable Embedding of e-Learning: A New Model Based on TAM, EVT and QiU","authors":"Mouna Mazzi, N. Debnath","doi":"10.1109/GTSD54989.2022.9989144","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989144","url":null,"abstract":"This study attempts to understand the students' acceptance of e-learning in Higher Education (HE) institutions. To better understand the facets that influence the acceptance of the use of e-learning by students, the authors have focused on frameworks that have in common the analysis of Human-Computer Interaction (HCI) from the point of view of the user's perception. This paper provides a theoretical framework for sustainable e-learning applied in HE institutions and aims to build a conceptual model using TAM, EVT, and QiU, that would help better understand the diverse dimensions that could predict HE students' continuous use of e-Learning. The main contribution of this research is the identification of antecedents to the intention to use e-learning by integrating three well-known frameworks related to technology use/adoption, namely TAM, EVT, and QiU in reliance on the cognitive process - involving perception- rather than the properties of the software itself. Moreover, HCI, technology use, and e-learning literature helped to analyze the similarities as well as the significance of constructs, which the authors synthesized through an e-Learning Acceptance Model. The new model will also help potential future research.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623856","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989280
Thanh Quynh Le Song, June Ho, T. Le
In the mass customization environment, the supply chain management process attempts to develop a long-term cooperation relationship between the suppliers and the production company. In the textile production process, suppliers are essential in the business activities of enterprises. The quality of suppliers could ensure the quantities, quality of products, and delivery time in the supply process of raw materials meets the production and business requirements with low cost. These criteria, which affect the selection of material suppliers in the textile industry, were analyzed in this research. Furthermore, AHPSupplier, a new open-source web application for choosing the best supplier based on the Analytic Hierarchy Process (AHP) method, was developed. Both the end-users and businesses benefit from our research by applying experts' accurate and available knowledge and experience while showing and modifying personal biases and misjudgments throughout consensus-based communication.
{"title":"A Web Application to Support the Material Suppliers Selection for the Textile Industry using the AHP Method","authors":"Thanh Quynh Le Song, June Ho, T. Le","doi":"10.1109/GTSD54989.2022.9989280","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989280","url":null,"abstract":"In the mass customization environment, the supply chain management process attempts to develop a long-term cooperation relationship between the suppliers and the production company. In the textile production process, suppliers are essential in the business activities of enterprises. The quality of suppliers could ensure the quantities, quality of products, and delivery time in the supply process of raw materials meets the production and business requirements with low cost. These criteria, which affect the selection of material suppliers in the textile industry, were analyzed in this research. Furthermore, AHPSupplier, a new open-source web application for choosing the best supplier based on the Analytic Hierarchy Process (AHP) method, was developed. Both the end-users and businesses benefit from our research by applying experts' accurate and available knowledge and experience while showing and modifying personal biases and misjudgments throughout consensus-based communication.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131096220","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 : 2022-07-29DOI: 10.1109/GTSD54989.2022.9989004
Ngoc-Hien-Duc Le, Huy-Phuong Le, Tran-Nhat-Minh Ta, T. Trinh, M. Le
The proposed paper presents an algorithm for an autonomous quadcopter to perform the act of flying over a narrow gap. Despite some of previous works depended on initial position as well as tracking position sensors for calculating the desired orbit to take the mission, the proposed quadcopter only needs information coming from inertial measurement unit and vision sensor. The mission for a quadcopter passing through a narrow gap itself, is considered as the challenge problem since both estimating optimal flight path and orienting behavior of quadcopter with respect to non-vertical gap section must be finished at the same time in order to keep fast response in practical condition. We solve this problem by generating a trajectory formed on geometry and current system perception: the proposed quadcopter, equipped with a camera faces toward the gap continuously, determines the central coordinate from the hole, then generates desired flying mission path and repeat the whole process until the quadcopter completely pass through the gap. As a result, we evaluate and demonstrate successfully in many types of conditions, including wind intensity and light disturbance. With testing 10 times in each types, the average result is around 85% and the gap is oriented up to 45 degrees. This is the first work for quadcopter to perform such a mission in real life, only use certain sensor to generate optimal trajectory.
{"title":"Narrow Gaps Detection and Computing Trajectory for Aggressive Autonomous Objective-Navigating Quadcopter","authors":"Ngoc-Hien-Duc Le, Huy-Phuong Le, Tran-Nhat-Minh Ta, T. Trinh, M. Le","doi":"10.1109/GTSD54989.2022.9989004","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989004","url":null,"abstract":"The proposed paper presents an algorithm for an autonomous quadcopter to perform the act of flying over a narrow gap. Despite some of previous works depended on initial position as well as tracking position sensors for calculating the desired orbit to take the mission, the proposed quadcopter only needs information coming from inertial measurement unit and vision sensor. The mission for a quadcopter passing through a narrow gap itself, is considered as the challenge problem since both estimating optimal flight path and orienting behavior of quadcopter with respect to non-vertical gap section must be finished at the same time in order to keep fast response in practical condition. We solve this problem by generating a trajectory formed on geometry and current system perception: the proposed quadcopter, equipped with a camera faces toward the gap continuously, determines the central coordinate from the hole, then generates desired flying mission path and repeat the whole process until the quadcopter completely pass through the gap. As a result, we evaluate and demonstrate successfully in many types of conditions, including wind intensity and light disturbance. With testing 10 times in each types, the average result is around 85% and the gap is oriented up to 45 degrees. This is the first work for quadcopter to perform such a mission in real life, only use certain sensor to generate optimal trajectory.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116368484","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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