Edward Figueroa T., Carlos M. Huisa, Erasmo Sulla Espinoza, Jorge Rendulich
The exchange of electrodes during ECG testing can lead to misdiagnosis in up to 24% of cases, some of which are severe medical conditions. To solve this problem, we develop an algorithm based on the exchanges of the elements of the 6x6 correlation coefficient score matrix for precordial leads (V1-V6) and maximum correlation with the V6 electrode for peripheral leads (I, II, III, -I, -II, -III, -aVR, -aVF and - aVL). The algorithm was validated using the k-fold crossvalidation technique (k=8) for 545 records from the PTB database. The algorithm analyzes specific correlation coefficients of simulated exchanges to minimize the computational cost. The results report average Sensitivity (Se) and Specificity (Sp) for the algorithm finding values of Se= 99.52% and Sp= 99.62% for one-, two- and three-hop precordial electrode exchanges, and Se= 92.10%, and Sp= 96.05% for exchanges in peripheral leads. The electrode exchange detection algorithm based on inter-lead correlation analysis provides accurate detection in both precordial and peripheral electrode exchanges in standard 12-lead ECGs, thus validating its implementation in biomedical devices such as the Think Health project.
{"title":"Determination of Electrode Exchange for 12-Lead ECG Based on Correlation Coefficient Scores","authors":"Edward Figueroa T., Carlos M. Huisa, Erasmo Sulla Espinoza, Jorge Rendulich","doi":"10.46338/ijetae0223_09","DOIUrl":"https://doi.org/10.46338/ijetae0223_09","url":null,"abstract":"The exchange of electrodes during ECG testing can lead to misdiagnosis in up to 24% of cases, some of which are severe medical conditions. To solve this problem, we develop an algorithm based on the exchanges of the elements of the 6x6 correlation coefficient score matrix for precordial leads (V1-V6) and maximum correlation with the V6 electrode for peripheral leads (I, II, III, -I, -II, -III, -aVR, -aVF and - aVL). The algorithm was validated using the k-fold crossvalidation technique (k=8) for 545 records from the PTB database. The algorithm analyzes specific correlation coefficients of simulated exchanges to minimize the computational cost. The results report average Sensitivity (Se) and Specificity (Sp) for the algorithm finding values of Se= 99.52% and Sp= 99.62% for one-, two- and three-hop precordial electrode exchanges, and Se= 92.10%, and Sp= 96.05% for exchanges in peripheral leads. The electrode exchange detection algorithm based on inter-lead correlation analysis provides accurate detection in both precordial and peripheral electrode exchanges in standard 12-lead ECGs, thus validating its implementation in biomedical devices such as the Think Health project.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"396 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115584790","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 this paper, the performance of the closed loop sliding mode controller (SMC) is compared with the conventional PID controller for DC-DC buck converter. We specifically address the comparison of the two controllers from system simulations point of view by first developing the system model of the DC-to-DC buck converter circuit and designing a suitable SMC controller.Using MATLAB/SIMULINK system simulations, the performance of the SMC controlled buck converter is compared with the PID controller in terms of the overshoot, rise time and settling time of the load voltage and currents. The simulation results demonstrated the high performance of the SMC controlled buck converter in accurately tracking the reference voltage, eliminating the overshoot, improving the settling time but with slower rise time as compared with the PID controller. The transient time response of the SMC controller can be further improved by tuning the system control parameters to attain improved rise time. Such SMC based buck converter can be used for the design of a stable direct current power supply for DC loads such as DC motors used for water pumps or other applications.
{"title":"System Simulation Comparison of Sliding Mode and PID Controller for Buck Converter","authors":"B. Getu, H. Attia","doi":"10.46338/ijetae0223_14","DOIUrl":"https://doi.org/10.46338/ijetae0223_14","url":null,"abstract":"In this paper, the performance of the closed loop sliding mode controller (SMC) is compared with the conventional PID controller for DC-DC buck converter. We specifically address the comparison of the two controllers from system simulations point of view by first developing the system model of the DC-to-DC buck converter circuit and designing a suitable SMC controller.Using MATLAB/SIMULINK system simulations, the performance of the SMC controlled buck converter is compared with the PID controller in terms of the overshoot, rise time and settling time of the load voltage and currents. The simulation results demonstrated the high performance of the SMC controlled buck converter in accurately tracking the reference voltage, eliminating the overshoot, improving the settling time but with slower rise time as compared with the PID controller. The transient time response of the SMC controller can be further improved by tuning the system control parameters to attain improved rise time. Such SMC based buck converter can be used for the design of a stable direct current power supply for DC loads such as DC motors used for water pumps or other applications.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415807","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}
Jojo C. Garanganao, Lea P. Ymalay, A. P. Delima, Jan Carlo T. Arroyo
This study aimed to develop a Tilapia Weight Estimation System using 2D Computer Vision, for the AgriAqua Research and Technology Center located at Nanga, Pototan, Iloilo, Philippines.A system estimated the weight of live tilapia, and images were captured in a free-swimming aquarium. The study established the relationship between the fish's shape and its mass in order to estimate the weight of the fish. The dataset used in the system is composed of several tilapia images acquired from specimens with weights ranging from approximately 120-250 grams. As part of the evaluation, this study determined the accuracy of three regression models: Linear, Multiple, and Polynomial regressions in estimating the weight of a freely-swimming Tilapia. In addition to the R2 and P-value, the models were also compared in terms of RMSE, MAE, MARE, MXAE, and MXRE. The system’s quality was also evaluated according to the standards for computer software set by ISO 25010 International Quality Standards
{"title":"Tilapia Weight Estimation System Using 2D Computer Vision","authors":"Jojo C. Garanganao, Lea P. Ymalay, A. P. Delima, Jan Carlo T. Arroyo","doi":"10.46338/ijetae0223_17","DOIUrl":"https://doi.org/10.46338/ijetae0223_17","url":null,"abstract":"This study aimed to develop a Tilapia Weight Estimation System using 2D Computer Vision, for the AgriAqua Research and Technology Center located at Nanga, Pototan, Iloilo, Philippines.A system estimated the weight of live tilapia, and images were captured in a free-swimming aquarium. The study established the relationship between the fish's shape and its mass in order to estimate the weight of the fish. The dataset used in the system is composed of several tilapia images acquired from specimens with weights ranging from approximately 120-250 grams. As part of the evaluation, this study determined the accuracy of three regression models: Linear, Multiple, and Polynomial regressions in estimating the weight of a freely-swimming Tilapia. In addition to the R2 and P-value, the models were also compared in terms of RMSE, MAE, MARE, MXAE, and MXRE. The system’s quality was also evaluated according to the standards for computer software set by ISO 25010 International Quality Standards","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130728287","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}
—Plethora of uses of mobile phones exist across the globe. The use of mobile phones beyond voice calls is known as the more-than-voice (MTV) technology. The widespread use of MTV technology is evident among the bottom of pyramid (BoP) around the world. The BoP represents a significant portion of the world population that not only can afford MTV technology but also can serve as a huge consumer base for services based on this technology. This study examines the factors affecting the acceptance of MTV technology by the BoP users and investigates whether their country affiliation plays a differing role in the adoption of the technology in the Indian subcontinent. Data were obtained from the Teleuse@BOP4 study. Partial least square (PLS) was performed to test the research model. The findings suggest that the perceived usefulness, ease of use, facilitating conditions, acumen to use, and propensity to use are the significant predictors of the adoption of the MTV technology. The findings also suggest that country affiliation plays a significant moderating role in the relationships between facilitating conditions and intention, and propensity to use and intention. This study then provides the practical and academic implications of both significant and insignificant findings. Keywords—More-than-voice technology, MTV technology, MTV services, consumer acceptance, technology adoption, country affiliation.
{"title":"Adoption of More-than-voice Technology: The Role of Country Affiliation","authors":"M. M. Hossain","doi":"10.46338/ijetae0223_03","DOIUrl":"https://doi.org/10.46338/ijetae0223_03","url":null,"abstract":"—Plethora of uses of mobile phones exist across the globe. The use of mobile phones beyond voice calls is known as the more-than-voice (MTV) technology. The widespread use of MTV technology is evident among the bottom of pyramid (BoP) around the world. The BoP represents a significant portion of the world population that not only can afford MTV technology but also can serve as a huge consumer base for services based on this technology. This study examines the factors affecting the acceptance of MTV technology by the BoP users and investigates whether their country affiliation plays a differing role in the adoption of the technology in the Indian subcontinent. Data were obtained from the Teleuse@BOP4 study. Partial least square (PLS) was performed to test the research model. The findings suggest that the perceived usefulness, ease of use, facilitating conditions, acumen to use, and propensity to use are the significant predictors of the adoption of the MTV technology. The findings also suggest that country affiliation plays a significant moderating role in the relationships between facilitating conditions and intention, and propensity to use and intention. This study then provides the practical and academic implications of both significant and insignificant findings. Keywords—More-than-voice technology, MTV technology, MTV services, consumer acceptance, technology adoption, country affiliation.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"61 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120938834","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}
Juan Lee Atipa, Javin Javin, Fernando Bryan, V. Yesmaya, Rini Wongso
Time limitation is one of the most important factors when consuming media. Longer duration makes it harder for users to watch the entirety of the video. Text summarization could be a way for users to acquire information swiftly and concisely. However, the extent to which the summary of the information made has really approached the main core of the information to be conveyed. In this study using YouTube video subtitles as the data that will be used to get a summary of the core information from the video. Consequently, this research focuses on abstractive summarization utilizing several Transformer models namely T5, BART, and PEGASUS, and using the video subtitle dataset to create a summary. The text data from the video subtitle is used as the main source of information in the learning process of the model, ultimately enhancing the model’s ability on this specific summarization task. In evaluating the models’ results, ROUGE is employed, specifically ROUGE-1, ROUGE-2, and ROUGE-L.
{"title":"Abstractive Text Summary with Transformer on Youtube Video Subtitle","authors":"Juan Lee Atipa, Javin Javin, Fernando Bryan, V. Yesmaya, Rini Wongso","doi":"10.46338/ijetae0223_01","DOIUrl":"https://doi.org/10.46338/ijetae0223_01","url":null,"abstract":"Time limitation is one of the most important factors when consuming media. Longer duration makes it harder for users to watch the entirety of the video. Text summarization could be a way for users to acquire information swiftly and concisely. However, the extent to which the summary of the information made has really approached the main core of the information to be conveyed. In this study using YouTube video subtitles as the data that will be used to get a summary of the core information from the video. Consequently, this research focuses on abstractive summarization utilizing several Transformer models namely T5, BART, and PEGASUS, and using the video subtitle dataset to create a summary. The text data from the video subtitle is used as the main source of information in the learning process of the model, ultimately enhancing the model’s ability on this specific summarization task. In evaluating the models’ results, ROUGE is employed, specifically ROUGE-1, ROUGE-2, and ROUGE-L.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124245365","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}
M. Othman, A. Jaafar, R. A. Manap, M. H. Misran, M. A. M. Said, S. Suhaimi, N. I. Hassan
This research proposes the use of a triangularshaped printed antenna operating at 3.7 GHz as a Defected Ground Structure (DGS) for a 5G communication system. The design of triangular antenna is incorporates with a printed Dumbbell shaped DGS structure in order to reduce the cost of antenna fabrication. The aim is to improve service performance, effectiveness, and quality of 5G communication systems. The proposed antenna has been analyzed and found to have return losses of -28.73 dB at the resonant frequency of 3.73 GHz, and an antenna gain of 3.23 dB. The DGS design is expected to increase the performance and this antenna be a choice for 5G communication systems.
{"title":"Revolutionary Triangular Patch Antenna with Dumbbell-Shaped Defected Ground Structure for 5G at 3.7 GHz: A Disruptive Design Innovation","authors":"M. Othman, A. Jaafar, R. A. Manap, M. H. Misran, M. A. M. Said, S. Suhaimi, N. I. Hassan","doi":"10.46338/ijetae0223_11","DOIUrl":"https://doi.org/10.46338/ijetae0223_11","url":null,"abstract":"This research proposes the use of a triangularshaped printed antenna operating at 3.7 GHz as a Defected Ground Structure (DGS) for a 5G communication system. The design of triangular antenna is incorporates with a printed Dumbbell shaped DGS structure in order to reduce the cost of antenna fabrication. The aim is to improve service performance, effectiveness, and quality of 5G communication systems. The proposed antenna has been analyzed and found to have return losses of -28.73 dB at the resonant frequency of 3.73 GHz, and an antenna gain of 3.23 dB. The DGS design is expected to increase the performance and this antenna be a choice for 5G communication systems.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129592727","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}
Van Zachary V. Singco, Joel C. Trillo, Cristopher C. Abalorio, James Cloyd M. Bustillo, Junell T. Bojocan, Michelle C. Elape
The accessibility of an enormous number of image text documents on the internet has expanded the opportunities to develop a system for image text recognition with text summarization. Several approaches used in ATS in the literature are based on extractive and abstractive techniques; however, few implementations of the hybrid approach were observed. This paper employed state-of-the-art transformer models with the Luhn algorithm for extracted texts using Tesseract OCR. Nine models were generated and tested using the hybrid text summarization approach. Using ROUGE metrics, we compared the proposed system finetune abstractive models against existing abstractive models that use the same dataset Xsum. As a result, the finetune model got the highest ROUGE score during evaluation; in ROUGE-1 score was 57%, the ROUGE-2 score was 43%, and the ROUGE-L score was 42%. Furthermore, even when better algorithms and models were available for summarization, the Luhn algorithm and T5 finetune model provided significant results.
{"title":"OCR-based Hybrid Image Text Summarizer using Luhn Algorithm with FinetuneTransformer Modelsfor Long Document","authors":"Van Zachary V. Singco, Joel C. Trillo, Cristopher C. Abalorio, James Cloyd M. Bustillo, Junell T. Bojocan, Michelle C. Elape","doi":"10.46338/ijetae0223_07","DOIUrl":"https://doi.org/10.46338/ijetae0223_07","url":null,"abstract":"The accessibility of an enormous number of image text documents on the internet has expanded the opportunities to develop a system for image text recognition with text summarization. Several approaches used in ATS in the literature are based on extractive and abstractive techniques; however, few implementations of the hybrid approach were observed. This paper employed state-of-the-art transformer models with the Luhn algorithm for extracted texts using Tesseract OCR. Nine models were generated and tested using the hybrid text summarization approach. Using ROUGE metrics, we compared the proposed system finetune abstractive models against existing abstractive models that use the same dataset Xsum. As a result, the finetune model got the highest ROUGE score during evaluation; in ROUGE-1 score was 57%, the ROUGE-2 score was 43%, and the ROUGE-L score was 42%. Furthermore, even when better algorithms and models were available for summarization, the Luhn algorithm and T5 finetune model provided significant results.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115160073","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 research is motivated by the increasingly sharp development of internet use. Almost every aspect is supported by technology, making us increasingly unable to live without the internet. Using the internet with a WiFi network offers easy and fast communication. However, each user has their preferences in using a Wi-Fi network. The non-fulfillment of user preferences results in user turnover problems. Therefore, the purpose of the study is to find out what factors have the most influence on user preferences. The factors are service quality, cost, brand image, and promotion. The target of this research is Wi-Fi network users in Indonesia. In collecting data from users, a questionnaire is used which is distributed through social media. Before testing the hypothesis, conduct validity and reliability tests on the instrument used. The results can be more easily understood using the multiple linear regression analysis methods. After conducting research, it is known that the most critical factor in determining user preferences for Internet Service Providers (ISPs) is the quality of services provided. From these results, the Internet Service Provider (ISP) can improve all aspects according the factors to solve problems and increase business profits
{"title":"Critical Factors in user Preferences for Internet Service Provider: A Factor Analysis Approach","authors":"Fransiska Dian Sari, Tanty Oktavia","doi":"10.46338/ijetae0223_04","DOIUrl":"https://doi.org/10.46338/ijetae0223_04","url":null,"abstract":"This research is motivated by the increasingly sharp development of internet use. Almost every aspect is supported by technology, making us increasingly unable to live without the internet. Using the internet with a WiFi network offers easy and fast communication. However, each user has their preferences in using a Wi-Fi network. The non-fulfillment of user preferences results in user turnover problems. Therefore, the purpose of the study is to find out what factors have the most influence on user preferences. The factors are service quality, cost, brand image, and promotion. The target of this research is Wi-Fi network users in Indonesia. In collecting data from users, a questionnaire is used which is distributed through social media. Before testing the hypothesis, conduct validity and reliability tests on the instrument used. The results can be more easily understood using the multiple linear regression analysis methods. After conducting research, it is known that the most critical factor in determining user preferences for Internet Service Providers (ISPs) is the quality of services provided. From these results, the Internet Service Provider (ISP) can improve all aspects according the factors to solve problems and increase business profits","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114358306","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}
As we know that how rapidly is corona virus spreading, starting from China, to all over the world. There are more than 5 million suspected cases and almost 0.33 million deaths according to the statistics of world meterinfo, and there are limited test kits available in hospitals because of cases are increasing rapidly on the daily bases. So, it is compulsory to build an authentic automatic detection system which gives maximum high performance to check whether the patient is Covid-19 suspect or not as an alternative to slow down the spread of coronavirus among people.In this research, we have used deep learning’s (DL) Convolutional neural network (CNN) and ResNet models. With a critical analysis, we conclude that every ResNet layered model has the high performance with error rate less than 3% on approximately all kinds of datasets of chest Xray images whether it includes rib shadow & clivade or after segmentation. We have proposed a new solution for existing model and to enhance the ResNet model by applying layered architecture style by adding more layers to our ResNet which will help to minimize the error rate. Further, to boost the performance of ResNet by tune up the batch size and learning rate, we achieve the learning rate 0.00001 that has higher accuracy as compared to the other learning rates 0.1, 0.01, 0.001 and 0.0001. The proposed study is promising framework for the covid detection that assist us to deal the COVID decease
{"title":"COVID Detection Using Chest X-ray Images & Deep Learning CNN Mechanism","authors":"H. Aljahdali","doi":"10.46338/ijetae0223_16","DOIUrl":"https://doi.org/10.46338/ijetae0223_16","url":null,"abstract":"As we know that how rapidly is corona virus spreading, starting from China, to all over the world. There are more than 5 million suspected cases and almost 0.33 million deaths according to the statistics of world meterinfo, and there are limited test kits available in hospitals because of cases are increasing rapidly on the daily bases. So, it is compulsory to build an authentic automatic detection system which gives maximum high performance to check whether the patient is Covid-19 suspect or not as an alternative to slow down the spread of coronavirus among people.In this research, we have used deep learning’s (DL) Convolutional neural network (CNN) and ResNet models. With a critical analysis, we conclude that every ResNet layered model has the high performance with error rate less than 3% on approximately all kinds of datasets of chest Xray images whether it includes rib shadow & clivade or after segmentation. We have proposed a new solution for existing model and to enhance the ResNet model by applying layered architecture style by adding more layers to our ResNet which will help to minimize the error rate. Further, to boost the performance of ResNet by tune up the batch size and learning rate, we achieve the learning rate 0.00001 that has higher accuracy as compared to the other learning rates 0.1, 0.01, 0.001 and 0.0001. The proposed study is promising framework for the covid detection that assist us to deal the COVID decease","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044553","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 article presents the pattern recognition solution based on two deep learning modules supporting the robotic manipulator to pick up and drop objects. The first deep learning module performs image processing to recognize identified objects. The second module is used to train object pick and drop tasks based on the recognition results of the first module. To check the feasibility of the proposed pattern recognition solution, several tests are performed on a real robot arm model with 6 degrees of freedom with the constraints of joint variables limited from -170 degrees to 170 degrees. After performing 84 tests in more than 8 hours on GeForce RTX 3080 GPU with changes in object features (shape and colour), pick up or drop location, the statistical results show that the robot can be done exactly as required with up to 94% accuracy with a low-cost USB camera.
{"title":"A Solution of Pattern Recognition Based on Deep Learning for Robotic Manipulator to Pick Up and Drop Objects","authors":"M. N. Anh, D. X. Bien","doi":"10.46338/ijetae0223_13","DOIUrl":"https://doi.org/10.46338/ijetae0223_13","url":null,"abstract":"This article presents the pattern recognition solution based on two deep learning modules supporting the robotic manipulator to pick up and drop objects. The first deep learning module performs image processing to recognize identified objects. The second module is used to train object pick and drop tasks based on the recognition results of the first module. To check the feasibility of the proposed pattern recognition solution, several tests are performed on a real robot arm model with 6 degrees of freedom with the constraints of joint variables limited from -170 degrees to 170 degrees. After performing 84 tests in more than 8 hours on GeForce RTX 3080 GPU with changes in object features (shape and colour), pick up or drop location, the statistical results show that the robot can be done exactly as required with up to 94% accuracy with a low-cost USB camera.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467941","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：