Pub Date : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466056
Ade Widyatama Dian Boernama, N. A. Setiawan, O. Wahyunggoro
The Brain-Computer Interface (BCI) is a great concept that enables people to interact with external devices solely through their brain signals. Motor imagery (MI), in which the acquired signals are captured from limb movements' imagination, is one of the most popular BCI research topics. For people with disabilities, this concept could be beneficial. The most common research for BCI MI classification has so far focused on a binary classification problem. In a real-world situation, however, the machine will need to train and differentiate more than two classes or solve a multiclass classification problem. Therefore, to summarize the research on multiclass BCI MI classification, this paper will conduct a systematic literature review for 30 articles that have gone through the selection process. This review found that the most used dataset in Multiclass BCI MI-EEG System is BCI Competition IV dataset 2a. As for the feature extraction method and classification method, most researchers used computationally inexpensive and stable methods. However, some of the researchers use more complex methods such as Fourier Transform as a feature extraction method and a Deep Learning-based classifier as a classification method.
脑机接口(BCI)是一个伟大的概念，它使人们能够仅通过大脑信号与外部设备进行交互。运动想象(MI)是目前脑机接口研究的热点之一，它从肢体运动的想象中捕获所获得的信号。对于残疾人来说，这个概念可能是有益的。目前对脑机接口MI分类最常见的研究主要集中在二值分类问题上。然而，在现实世界的情况下，机器将需要训练和区分两个以上的类，或者解决一个多类分类问题。因此，为了总结多类BCI MI分类的研究，本文将对经过筛选的30篇文章进行系统的文献综述。本综述发现，在Multiclass BCI MI-EEG系统中使用最多的数据集是BCI Competition IV dataset 2a。对于特征提取方法和分类方法，研究人员大多采用计算成本低且稳定的方法。然而，一些研究人员使用更复杂的方法，如傅里叶变换作为特征提取方法和基于深度学习的分类器作为分类方法。
{"title":"Multiclass Classification of Brain-Computer Interface Motor Imagery System: A Systematic Literature Review","authors":"Ade Widyatama Dian Boernama, N. A. Setiawan, O. Wahyunggoro","doi":"10.1109/AIMS52415.2021.9466056","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466056","url":null,"abstract":"The Brain-Computer Interface (BCI) is a great concept that enables people to interact with external devices solely through their brain signals. Motor imagery (MI), in which the acquired signals are captured from limb movements' imagination, is one of the most popular BCI research topics. For people with disabilities, this concept could be beneficial. The most common research for BCI MI classification has so far focused on a binary classification problem. In a real-world situation, however, the machine will need to train and differentiate more than two classes or solve a multiclass classification problem. Therefore, to summarize the research on multiclass BCI MI classification, this paper will conduct a systematic literature review for 30 articles that have gone through the selection process. This review found that the most used dataset in Multiclass BCI MI-EEG System is BCI Competition IV dataset 2a. As for the feature extraction method and classification method, most researchers used computationally inexpensive and stable methods. However, some of the researchers use more complex methods such as Fourier Transform as a feature extraction method and a Deep Learning-based classifier as a classification method.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121119814","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466016
Oktrizagita Jassinda Kusbandhini, D. Wijaya, W. Hidayat
Rice is an important commodity for Indonesian that is both relatively abundant and accessible in the country. However, after rice passing a certain shelf-life time limit, it is no longer fit for consumption nor sale. Conventionally, sample rice is taken from storage periodically to monitor its quality, relying heavily on human judgment in its process. To automate this, we proposed the method to predict rice shelf life to use a machine learning Support Vector Regression (SVR) based on the electronic nose (e-nose) dataset. Hence, the contribution of this study is using SVR to predict rice shelf-life based on the electronic nose signals. This study used the SVR model with two parameters, namely C and Gamma, and utilized the min-max data normalization method in its preprocessing stage. In terms of prediction accuracy, the results are evaluated using $R^{2}$ dan RMSE. Our test shows that the proposed method is considered accurate with an $R^{2}$ value of 0.9974 and an RMSE value of 0.3597.
大米是印度尼西亚的一种重要商品，在该国既相对丰富又容易获得。然而，大米超过一定的保质期后，就不再适合消费和销售。传统上，大米样品是定期从仓库中取出来监测其质量的，在提取过程中严重依赖于人类的判断。为了实现自动化，我们提出了一种基于电子鼻数据集的机器学习支持向量回归(SVR)预测大米保质期的方法。因此，本研究的贡献在于利用SVR预测基于电子鼻信号的大米保质期。本研究采用带有两个参数C和Gamma的SVR模型，在其预处理阶段采用最小-最大数据归一化方法。在预测精度方面，使用$R^{2}$ dan RMSE评估结果。我们的测试表明，所提出的方法被认为是准确的，$R^{2}$值为0.9974,RMSE值为0.3597。
{"title":"Rice Shelf-Life Prediction Using Support Vector Regression Algorithm Based on Electronic Nose Dataset","authors":"Oktrizagita Jassinda Kusbandhini, D. Wijaya, W. Hidayat","doi":"10.1109/AIMS52415.2021.9466016","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466016","url":null,"abstract":"Rice is an important commodity for Indonesian that is both relatively abundant and accessible in the country. However, after rice passing a certain shelf-life time limit, it is no longer fit for consumption nor sale. Conventionally, sample rice is taken from storage periodically to monitor its quality, relying heavily on human judgment in its process. To automate this, we proposed the method to predict rice shelf life to use a machine learning Support Vector Regression (SVR) based on the electronic nose (e-nose) dataset. Hence, the contribution of this study is using SVR to predict rice shelf-life based on the electronic nose signals. This study used the SVR model with two parameters, namely C and Gamma, and utilized the min-max data normalization method in its preprocessing stage. In terms of prediction accuracy, the results are evaluated using $R^{2}$ dan RMSE. Our test shows that the proposed method is considered accurate with an $R^{2}$ value of 0.9974 and an RMSE value of 0.3597.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915411","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466011
Davin Darmalaksana Bhagaspati, N. S. Syafei, Darmawan Hidayat
Currently, chemical compounds are still being used to be the main testing technique to detect the authenticity of rice bran. This technique is very ineffective to be used because it is time consuming, destructive, ex-situ, and expensive. Therefore, we need a new testing technique that can overcome this problem, which is by ultrasonic waves transmission. The measuring parameters used are the velocity propagation and the attenuation coefficient. This study discusses the correlation of these measuring parameters to different levels of authenticity of rice bran. The results of this study indicate that the correlation coefficient ($mathrm{R}^{wedge}2$) obtained on the correlation chart of the attenuation parameter is 0.8827 (close to one). This proves that the correlation is very strong. While the correlation coefficient ($mathrm{R}^{wedge}2$) obtained on the correlation graph of the velocity propagation parameter is 0.0683 (close to zero). This proves that the nature of the correlation is very weak. The correlation shows that the testing technique using ultrasonic wave transmission can be carried out and developed.
{"title":"Investigation of Husk-Adulterated Rice Bran Using Ultrasonic Wave","authors":"Davin Darmalaksana Bhagaspati, N. S. Syafei, Darmawan Hidayat","doi":"10.1109/AIMS52415.2021.9466011","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466011","url":null,"abstract":"Currently, chemical compounds are still being used to be the main testing technique to detect the authenticity of rice bran. This technique is very ineffective to be used because it is time consuming, destructive, ex-situ, and expensive. Therefore, we need a new testing technique that can overcome this problem, which is by ultrasonic waves transmission. The measuring parameters used are the velocity propagation and the attenuation coefficient. This study discusses the correlation of these measuring parameters to different levels of authenticity of rice bran. The results of this study indicate that the correlation coefficient ($mathrm{R}^{wedge}2$) obtained on the correlation chart of the attenuation parameter is 0.8827 (close to one). This proves that the correlation is very strong. While the correlation coefficient ($mathrm{R}^{wedge}2$) obtained on the correlation graph of the velocity propagation parameter is 0.0683 (close to zero). This proves that the nature of the correlation is very weak. The correlation shows that the testing technique using ultrasonic wave transmission can be carried out and developed.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131189475","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466080
Mohammad Aditya Rafi Pratama, Aries Subiantoro
The mathematical model of the vehicle is an important component of vehicle stability control research. Therefore, the right model is required to model an actual vehicle. In designing a vehicle model, the right parameter values are also needed to produce an optimal output response from the model. However, optimal response cannot be obtained when there is parameter value that are either unknown or cannot be measured directly. This paper proposed a parameter estimation approach using the Quasi–Newton and least squares methods to estimate the value of the unknown parameter. The output responses from the model with the estimated parameters will be compared with the output responses from the simulator used, and the level of accuracy and error of the estimation method will be analyzed. From the test results, it was found that the model with the estimated parameter values produces high accuracy of more than 85%. It is shown that the proposed estimation method can be used in estimating the parameters of a vehicle model and can produce an optimal output response.
{"title":"Speed and Yaw Rate Response Optimization based on Parameter Estimation for Electrical Bus Mathematical Model","authors":"Mohammad Aditya Rafi Pratama, Aries Subiantoro","doi":"10.1109/AIMS52415.2021.9466080","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466080","url":null,"abstract":"The mathematical model of the vehicle is an important component of vehicle stability control research. Therefore, the right model is required to model an actual vehicle. In designing a vehicle model, the right parameter values are also needed to produce an optimal output response from the model. However, optimal response cannot be obtained when there is parameter value that are either unknown or cannot be measured directly. This paper proposed a parameter estimation approach using the Quasi–Newton and least squares methods to estimate the value of the unknown parameter. The output responses from the model with the estimated parameters will be compared with the output responses from the simulator used, and the level of accuracy and error of the estimation method will be analyzed. From the test results, it was found that the model with the estimated parameter values produces high accuracy of more than 85%. It is shown that the proposed estimation method can be used in estimating the parameters of a vehicle model and can produce an optimal output response.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952931","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466025
Endah Ageng Arimbi, Sahna Ferdin Ginting, C. Ginting, Refi Ikhtiari
Sports or physical activities most in demand, especially in urban areas, are sports or treadmills. The benefits of a treadmill include increasing muscle strength, improving metabolism, increasing oxygen absorption in the blood, and training the heart and lung muscles. The purpose of this study was to determine the effectiveness of treadmills to increase $VO_{2} Max$, haemoglobin levels, and erythrocyte index in Medan City non-commissioned officer (NCO) candidates. The population was the non-commissioned officers who trained treadmills at Army Fitness as many as 50 people and sample is limited to 15 people who meet the inclusion requirements. The type of research is quasi-experimental through pre-test and post-test. The technique of analysing data used the SPSS version 22.0 and the test used the Wilcoxon Signed Ranks Test. The results showed that exercise was a treadmill effective in increasing VO2Max for non-commissioned officers in Medan City; workouts are treadmill not effective against Haemoglobin levels in non-commissioned officers in Medan City and training treadmill effective against the Erythrocyte Index for Mean Corpuscular Volume (MCV). The research results conclude that exercise is treadmill only effective in increasing VO2Max and MCV index values in erythrocytes.
人们最需要的运动或体育活动是运动或跑步机，尤其是在城市地区。跑步机的好处包括增加肌肉力量，改善新陈代谢，增加血液中的氧气吸收，以及训练心肺肌肉。本研究的目的是确定跑步机提高棉兰市士官(NCO)候选人的vo_bb_max $、血红蛋白水平和红细胞指数的有效性。人口是在陆军健身中心训练跑步机的士官，多达50人，样本限制在15人，符合纳入要求。研究类型为准实验，通过前测和后测。数据分析技术采用SPSS 22.0版，检验采用Wilcoxon Signed Ranks检验。结果表明:运动是一种有效提高棉兰市士官VO2Max的跑步机;在棉兰市，跑步机训练对士官的血红蛋白水平无效，而跑步机训练对红细胞平均红细胞体积指数(MCV)有效。研究结果表明，跑步机运动仅对红细胞VO2Max和MCV指数值的增加有效。
{"title":"Effect of Treadmill Exercises on $Vo2 Max$, Haemoglobin Levels and Erythrocyte Index among Military Candidates","authors":"Endah Ageng Arimbi, Sahna Ferdin Ginting, C. Ginting, Refi Ikhtiari","doi":"10.1109/AIMS52415.2021.9466025","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466025","url":null,"abstract":"Sports or physical activities most in demand, especially in urban areas, are sports or treadmills. The benefits of a treadmill include increasing muscle strength, improving metabolism, increasing oxygen absorption in the blood, and training the heart and lung muscles. The purpose of this study was to determine the effectiveness of treadmills to increase $VO_{2} Max$, haemoglobin levels, and erythrocyte index in Medan City non-commissioned officer (NCO) candidates. The population was the non-commissioned officers who trained treadmills at Army Fitness as many as 50 people and sample is limited to 15 people who meet the inclusion requirements. The type of research is quasi-experimental through pre-test and post-test. The technique of analysing data used the SPSS version 22.0 and the test used the Wilcoxon Signed Ranks Test. The results showed that exercise was a treadmill effective in increasing VO2Max for non-commissioned officers in Medan City; workouts are treadmill not effective against Haemoglobin levels in non-commissioned officers in Medan City and training treadmill effective against the Erythrocyte Index for Mean Corpuscular Volume (MCV). The research results conclude that exercise is treadmill only effective in increasing VO2Max and MCV index values in erythrocytes.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130991446","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466082
J. S. G. Pratomo, Aries Subiantoro
Stability and safety are the essential factors for commuter electric vehicles despite the battery and charging system. There were many accidents caused by the loss of stability of the vehicle. Stability factors included the dynamic responses of the yaw rate and the side slip angle, which were affected by tire cornering stiffness and air drag coefficient parameters. These were the key general problems in building a sophisticated and reliable advanced dynamics control system for electric vehicles. In this study, the curve fitting least square method was proposed and validated as a way to estimate the optimum value of tire cornering stiffness and air drag coefficients, which greatly affected the stability response of the two-track vehicle model. The dynamic responses generated by the model after applying the optimum estimated parameters were compared to and validated against CarSim simulator results. A double line change procedure used to test and validate the proposed method because vehicles tend to lose their stability during this type of yawing tendency maneuver. The comparison between the model and CarSim resulted in a decrease of RMSE error of the model by 62.26% for side slip, 42.76% for velocity, and 80.44% for yaw rate after applying the tuned parameters. These numbers meant that the optimum estimated coefficient value of tire cornering stiffness and air drag force could be obtained using the least square, and the impact of model error could be mitigated as well.
{"title":"Obtaining the Optimum Estimated Coefficient Value of Tire Cornering Stiffness and Air Drag for a Commuter Electric Car Model Using the Curve Fitting Least Square Method","authors":"J. S. G. Pratomo, Aries Subiantoro","doi":"10.1109/AIMS52415.2021.9466082","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466082","url":null,"abstract":"Stability and safety are the essential factors for commuter electric vehicles despite the battery and charging system. There were many accidents caused by the loss of stability of the vehicle. Stability factors included the dynamic responses of the yaw rate and the side slip angle, which were affected by tire cornering stiffness and air drag coefficient parameters. These were the key general problems in building a sophisticated and reliable advanced dynamics control system for electric vehicles. In this study, the curve fitting least square method was proposed and validated as a way to estimate the optimum value of tire cornering stiffness and air drag coefficients, which greatly affected the stability response of the two-track vehicle model. The dynamic responses generated by the model after applying the optimum estimated parameters were compared to and validated against CarSim simulator results. A double line change procedure used to test and validate the proposed method because vehicles tend to lose their stability during this type of yawing tendency maneuver. The comparison between the model and CarSim resulted in a decrease of RMSE error of the model by 62.26% for side slip, 42.76% for velocity, and 80.44% for yaw rate after applying the tuned parameters. These numbers meant that the optimum estimated coefficient value of tire cornering stiffness and air drag force could be obtained using the least square, and the impact of model error could be mitigated as well.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"75 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133136168","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466064
I. A. Akhinov, Muhammad Ridwan Arif Cahyono
The smart home technology currently being built cannot fully support the government's energy conservation policy. In comparison, the controls for intelligent home configurations are only manual and not fully automatic. In this research, An artificial intelligence-controlled smart home device was designed to manage monthly bill energy consumption in this research. ESP32 was used as an IoT system to detect human presence and measure electrical energy consumed. The data was stored on a Raspberry Pi online server. An Android application can track and manage this device. This application had been reviewed using the Black Box method; the results were 100% smooth. Artificial Neural Network (ANN) with Back Propagation (BP) method added with Variable Learning Rate (VLR) implemented using python language, with four inputs, two layers, and four outputs, each with four neurons. ANN's input variables are light intensity, room temperature, room usage, time length, and monthly cost goal. This ANN-BP-VLR's output is the period of electrical equipment use, in this prototype, air conditioner, TV, refrigerator, and light usage time. The IoT systems for Manage Household energy consumption operated correctly, and the instructions for the optimal use of electrical equipment with an error rate of 17.21%.
{"title":"Development of Smart Home System Based on Artificial Intelligence with Variable Learning Rate to Manage Household Energy Consumption","authors":"I. A. Akhinov, Muhammad Ridwan Arif Cahyono","doi":"10.1109/AIMS52415.2021.9466064","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466064","url":null,"abstract":"The smart home technology currently being built cannot fully support the government's energy conservation policy. In comparison, the controls for intelligent home configurations are only manual and not fully automatic. In this research, An artificial intelligence-controlled smart home device was designed to manage monthly bill energy consumption in this research. ESP32 was used as an IoT system to detect human presence and measure electrical energy consumed. The data was stored on a Raspberry Pi online server. An Android application can track and manage this device. This application had been reviewed using the Black Box method; the results were 100% smooth. Artificial Neural Network (ANN) with Back Propagation (BP) method added with Variable Learning Rate (VLR) implemented using python language, with four inputs, two layers, and four outputs, each with four neurons. ANN's input variables are light intensity, room temperature, room usage, time length, and monthly cost goal. This ANN-BP-VLR's output is the period of electrical equipment use, in this prototype, air conditioner, TV, refrigerator, and light usage time. The IoT systems for Manage Household energy consumption operated correctly, and the instructions for the optimal use of electrical equipment with an error rate of 17.21%.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128402793","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466053
M. U. Qadir, Muhammad Awais Khan, Muzammal Hussain, Izhar ul Haq, Nizar Akhtar, Km Shah
Lower limb amputation not only reduces mobility but also results in significant impairment in quality of life. Microprocessor based transfemoral knee joints have gained significant importance in the last decade to not only restore cosmetics but also provide functionality comparable to real limb. One of the key issues in such devices is selection of the suitable material for manufacturing of knee joint to minimize chances of failure under various loading conditions, while at the same time ensuring the weight of the knee is within acceptable limits. The purpose of this research is to design a microprocessor-based knee joint and perform various static structural analysis for different materials to optimize strength to weight ratio of the proposed design. Initially, a model for the proposed microprocessor-based knee was developed in SolidWorks followed by displacement study and computation of von-mises stresses in Ansys Workbench. Different materials used in the analysis include Plain Carbon Steel, Stainless Steel 304, Aluminum 6061. Based on the results Aluminum 6061 was identified as a suitable material for manufacturing knee joint as it not only reduces weight of the knee joint but also the deformation and stress values are within acceptable limits. The minimum and maximum Von Mises stress of Aluminum 6061 was 559.9 Pa and 71.37 MPa respectively with tensile strength of 313 MPa.
{"title":"Design and Analysis of Knee Joint for Transfemoral Amputees","authors":"M. U. Qadir, Muhammad Awais Khan, Muzammal Hussain, Izhar ul Haq, Nizar Akhtar, Km Shah","doi":"10.1109/AIMS52415.2021.9466053","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466053","url":null,"abstract":"Lower limb amputation not only reduces mobility but also results in significant impairment in quality of life. Microprocessor based transfemoral knee joints have gained significant importance in the last decade to not only restore cosmetics but also provide functionality comparable to real limb. One of the key issues in such devices is selection of the suitable material for manufacturing of knee joint to minimize chances of failure under various loading conditions, while at the same time ensuring the weight of the knee is within acceptable limits. The purpose of this research is to design a microprocessor-based knee joint and perform various static structural analysis for different materials to optimize strength to weight ratio of the proposed design. Initially, a model for the proposed microprocessor-based knee was developed in SolidWorks followed by displacement study and computation of von-mises stresses in Ansys Workbench. Different materials used in the analysis include Plain Carbon Steel, Stainless Steel 304, Aluminum 6061. Based on the results Aluminum 6061 was identified as a suitable material for manufacturing knee joint as it not only reduces weight of the knee joint but also the deformation and stress values are within acceptable limits. The minimum and maximum Von Mises stress of Aluminum 6061 was 559.9 Pa and 71.37 MPa respectively with tensile strength of 313 MPa.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134022161","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466009
Adhi Garmana, F. Arifin, Rusdianasari
Many countries have realized the importance of using renewable energy sources as a substitute for nonrenewable energy. Indonesia has relatively small wind energy potential due to its geographic location, which is located on the equator. Its utilization target is to find areas with low wind speeds because the potential for development is still widely available. The Savonius-Darrieus turbine combination is an option to enhance additional capabilities in energy extraction. In this research, CFD analysis compared the combined performance of the Savonius 2 blade turbine - 3 blade Darrieus turbine and 3 blade Savonius turbines - 3 blade Darrieus turbine using Solid Work simulations with different wind speeds for 2, 3, 4 m/s. The simulation results showed the combination design of the Savonius 2 blade turbine - 3 blade Darrieus turbine has greater power 0,54 watt than the 3 blade Savonius turbine - 3 blade Darrieus turbine combination at wind speed for 4 m/s.
{"title":"CFD Analysis for Combination Savonius and Darrieus Turbine with Differences in the Number of Savonius Turbine Blades","authors":"Adhi Garmana, F. Arifin, Rusdianasari","doi":"10.1109/AIMS52415.2021.9466009","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466009","url":null,"abstract":"Many countries have realized the importance of using renewable energy sources as a substitute for nonrenewable energy. Indonesia has relatively small wind energy potential due to its geographic location, which is located on the equator. Its utilization target is to find areas with low wind speeds because the potential for development is still widely available. The Savonius-Darrieus turbine combination is an option to enhance additional capabilities in energy extraction. In this research, CFD analysis compared the combined performance of the Savonius 2 blade turbine - 3 blade Darrieus turbine and 3 blade Savonius turbines - 3 blade Darrieus turbine using Solid Work simulations with different wind speeds for 2, 3, 4 m/s. The simulation results showed the combination design of the Savonius 2 blade turbine - 3 blade Darrieus turbine has greater power 0,54 watt than the 3 blade Savonius turbine - 3 blade Darrieus turbine combination at wind speed for 4 m/s.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125542077","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 : 2021-04-28DOI: 10.1109/AIMS52415.2021.9466044
I. A. Dahlan, F. Hidayat, S. Supangkat, Fetty Fitriyanti Lubis
Nowadays, the railway industry has a public transport in a key position where it must be able to face the challenge of ensuring the safety and quality of service regarding health's safety in a pandemic situation. Public transport as a center of people's mobility must be safe to ensure visitors travel during the pandemic. This must be taken because the impact of COVID-19 has spread to almost all sectors and has also caused health facilities to experience the highest level of crisis. Many precautions need to be taken to reduce the spread of this disease where health care protocols must be adhered to with technology to control and manage smart railways resilience in the face of a pandemic. This paper proposes to implement CCTV analytics as a platform to process real-time data with a study case in Bandung Railway Station into knowledge displayed in a Viana Safe dashboard with accuracy 93.95% result on mask detection, social distancing to ensure the COVID-19 protocol with a real time speed of processing with NVIDIA 2080 Ti around of 25 FPS, 30 FPS of visitor counting and fever detection to screen the health status of visitor with accuracy 0.1-0.5'C of face temperature. It will send an early warning notification if the system detects the anomaly detection COVID-19 protocol violation.
{"title":"Viana Safe: Smart Safe and Secure Platform Based on CCTV Analytics in Pandemic Covid-19 Situation Use Case Railway Station","authors":"I. A. Dahlan, F. Hidayat, S. Supangkat, Fetty Fitriyanti Lubis","doi":"10.1109/AIMS52415.2021.9466044","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466044","url":null,"abstract":"Nowadays, the railway industry has a public transport in a key position where it must be able to face the challenge of ensuring the safety and quality of service regarding health's safety in a pandemic situation. Public transport as a center of people's mobility must be safe to ensure visitors travel during the pandemic. This must be taken because the impact of COVID-19 has spread to almost all sectors and has also caused health facilities to experience the highest level of crisis. Many precautions need to be taken to reduce the spread of this disease where health care protocols must be adhered to with technology to control and manage smart railways resilience in the face of a pandemic. This paper proposes to implement CCTV analytics as a platform to process real-time data with a study case in Bandung Railway Station into knowledge displayed in a Viana Safe dashboard with accuracy 93.95% result on mask detection, social distancing to ensure the COVID-19 protocol with a real time speed of processing with NVIDIA 2080 Ti around of 25 FPS, 30 FPS of visitor counting and fever detection to screen the health status of visitor with accuracy 0.1-0.5'C of face temperature. It will send an early warning notification if the system detects the anomaly detection COVID-19 protocol violation.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129464174","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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