Mochammad Sahal, Zulkifli Hidayat, Yusuf Bilfaqih, Mohamad Abdul Hady, Yosua Marthin Hawila Tampubolon
Congestion is a common problem that often occurs in big cities. Congestion causes a lot of losses, such as in terms of time, economy, to the psychology of road users. One of the causes of congestion is traffic lights that are not adaptive to the dynamics of traffic flow. This final project tries to solve this problem using a Reinforcement Learning approach combined with a SUMO (Simulation of Urban Mobility) traffic simulator. The data used is the real video data of the KD Cowek intersection, Surabaya. The video data is processed using the YOLO algorithm which will detect and count vehicles. The output of the video processing will be used in Reinforcement Learning. The result of Reinforcement Learning is that the total length of the traffic queue at 06.00 – 09.00 has an average of 106 vehicles.
{"title":"Smart Traffic Light Using YOLO Based Camera with Deep Reinforcement Learning Algorithm","authors":"Mochammad Sahal, Zulkifli Hidayat, Yusuf Bilfaqih, Mohamad Abdul Hady, Yosua Marthin Hawila Tampubolon","doi":"10.12962/jaree.v7i1.335","DOIUrl":"https://doi.org/10.12962/jaree.v7i1.335","url":null,"abstract":"Congestion is a common problem that often occurs in big cities. Congestion causes a lot of losses, such as in terms of time, economy, to the psychology of road users. One of the causes of congestion is traffic lights that are not adaptive to the dynamics of traffic flow. This final project tries to solve this problem using a Reinforcement Learning approach combined with a SUMO (Simulation of Urban Mobility) traffic simulator. The data used is the real video data of the KD Cowek intersection, Surabaya. The video data is processed using the YOLO algorithm which will detect and count vehicles. The output of the video processing will be used in Reinforcement Learning. The result of Reinforcement Learning is that the total length of the traffic queue at 06.00 – 09.00 has an average of 106 vehicles.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441446","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}
Indonesia gradually improves the electricity system's reliability and reaches the areas which contain frontier, outermost and underdeveloped areas by utilizing local energy potential. It can be done independently and in groups to meet the need for electrical energy in remote villages. Electrical power is obtained from generators and solar modules installed in each resident's house, where the capacity and quality are minimal. The initial study was completed in 2019 and took place in Central Kalimantan province, divided into three districts consisting of ten villages. Access to the village is a challenge in satisfying electrical energy needs, so alternatives are needed to meet the demands of electrical energy for areas that are difficult to reach by the electricity network. The solar power plant is one alternative to using new and renewable energy. The State Electric Company is an Indonesian state-owned enterprise that generates, transmits, and distributes electric power which also responsible to provide the electricity network in Indonesia. This study's village information was obtained from the survey results, village energy needs, and costs incurred when the solar power system was installed.
{"title":"Preliminary Study of Solar Energy Utilization for Rural Electrical Energy. Case Studies in Central Kalimantan","authors":"Andrianshah Priyadi, Budi Sutrisno, Setya Sunarna, Fariz Maulana Rizanulhaq, Wulan Erna Komariah, Adjat Sudradjat, Dian Khairiani","doi":"10.12962/jaree.v7i1.327","DOIUrl":"https://doi.org/10.12962/jaree.v7i1.327","url":null,"abstract":"Indonesia gradually improves the electricity system's reliability and reaches the areas which contain frontier, outermost and underdeveloped areas by utilizing local energy potential. It can be done independently and in groups to meet the need for electrical energy in remote villages. Electrical power is obtained from generators and solar modules installed in each resident's house, where the capacity and quality are minimal. The initial study was completed in 2019 and took place in Central Kalimantan province, divided into three districts consisting of ten villages. Access to the village is a challenge in satisfying electrical energy needs, so alternatives are needed to meet the demands of electrical energy for areas that are difficult to reach by the electricity network. The solar power plant is one alternative to using new and renewable energy. The State Electric Company is an Indonesian state-owned enterprise that generates, transmits, and distributes electric power which also responsible to provide the electricity network in Indonesia. This study's village information was obtained from the survey results, village energy needs, and costs incurred when the solar power system was installed.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441450","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, training on how to calculate and measure losses in power converters is presented. In the power converters all elements have losses due to circuit condition, therefore in order to calculate the losses in the elements, all conditions are considered, so the accuracy of the calculations are high. All relationships and formulas for calculating losses are presented, so the different ways of calculating losses are clear in this paper. All basic converters in this paper are studied in term of losses, so this paper is a good reference for calculating losses in DC-DC converters. In converters with soft switching, elements are added that also have losses in the converter, which the method of obtaining losses of these elements is also taught. Finally, methods for obtaining losses in simulation and experimental prototypes are given that prove the methods and theoretical formulas.
{"title":"A method to calculate and measure losses and efficiency in DC-DC converters","authors":"Mahmood Vesali","doi":"10.12962/jaree.v7i1.338","DOIUrl":"https://doi.org/10.12962/jaree.v7i1.338","url":null,"abstract":"In this paper, training on how to calculate and measure losses in power converters is presented. In the power converters all elements have losses due to circuit condition, therefore in order to calculate the losses in the elements, all conditions are considered, so the accuracy of the calculations are high. All relationships and formulas for calculating losses are presented, so the different ways of calculating losses are clear in this paper. All basic converters in this paper are studied in term of losses, so this paper is a good reference for calculating losses in DC-DC converters. In converters with soft switching, elements are added that also have losses in the converter, which the method of obtaining losses of these elements is also taught. Finally, methods for obtaining losses in simulation and experimental prototypes are given that prove the methods and theoretical formulas.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441445","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}
The transition of BPHTB management from central taxes to regional taxes is a continuation of the regional autonomy policy. The difference between the market value and the prevailing NJOP poses a challenge for the Sintang District Government in determining the Tax Object Acquisition Value (NPOP) as the basis for imposing BPHTB. Machine learning has been extensively explored for predictions and can be an alternative that can help predict NPOP, especially house prices. This study uses backward elimination and forward selection methods to select the features used in this study and multiple linear regression and K-Nearest Neighbor methods to make house price prediction models. The results of model performance measurement using RMSE, Multiple Linear Regression method with feature selection using backward elimination resulted in a better model with an RMSE value of 44.02 (million rupiahs) and an R2 value of 0.707.
{"title":"House Price Prediction using Multiple Linear Regression and KNN","authors":"Fransiskus Dwi Febriyanto, Endroyono Endroyono, Yoyon Kusnendar","doi":"10.12962/jaree.v7i1.328","DOIUrl":"https://doi.org/10.12962/jaree.v7i1.328","url":null,"abstract":"The transition of BPHTB management from central taxes to regional taxes is a continuation of the regional autonomy policy. The difference between the market value and the prevailing NJOP poses a challenge for the Sintang District Government in determining the Tax Object Acquisition Value (NPOP) as the basis for imposing BPHTB. Machine learning has been extensively explored for predictions and can be an alternative that can help predict NPOP, especially house prices. This study uses backward elimination and forward selection methods to select the features used in this study and multiple linear regression and K-Nearest Neighbor methods to make house price prediction models. The results of model performance measurement using RMSE, Multiple Linear Regression method with feature selection using backward elimination resulted in a better model with an RMSE value of 44.02 (million rupiahs) and an R2 value of 0.707.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441448","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}
Drip irrigation is the most energy and water-efficient irrigation. The multi-sector drip irrigation system can irrigate various types of plants which are divided into several sectors. Changes in the number of active sectors due to differences in irrigation duration resulted in unstable emitter discharges. This instability makes irrigation inaccurate and results in excess or shortage of water supply for crops. Water pump control is needed to match the amount of active emitter discharge. This study controls the discharge of water pumps in multi-sector drip irrigation so that the discharge is in accordance with the number of active emitters. The pump discharge control uses the proportional integral and derivative (PID) method. The type of centrifugal water pump used is driven by a Brushless DC (BLDC) motor with a six-step speed control method. The test results show that the pump can adjust the water discharge with a steady state error of 2.8%.
{"title":"Water Discharge Control in BLDC Motor Driven Pumps to Increase Drip Irrigation Accuracy","authors":"Suwito Suwito, Muhammad Rivai","doi":"10.12962/jaree.v7i1.346","DOIUrl":"https://doi.org/10.12962/jaree.v7i1.346","url":null,"abstract":"Drip irrigation is the most energy and water-efficient irrigation. The multi-sector drip irrigation system can irrigate various types of plants which are divided into several sectors. Changes in the number of active sectors due to differences in irrigation duration resulted in unstable emitter discharges. This instability makes irrigation inaccurate and results in excess or shortage of water supply for crops. Water pump control is needed to match the amount of active emitter discharge. This study controls the discharge of water pumps in multi-sector drip irrigation so that the discharge is in accordance with the number of active emitters. The pump discharge control uses the proportional integral and derivative (PID) method. The type of centrifugal water pump used is driven by a Brushless DC (BLDC) motor with a six-step speed control method. The test results show that the pump can adjust the water discharge with a steady state error of 2.8%.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441444","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. Fatoni, Nabilah Ashriyah, T. A. Sardjono, M. Nuh
Electrolarynx is an assistive technology commonly used by speech impaired people to speak. The speech impaired people who have lost their larynx (laryngectomee) or have damaged larynx use an electrolarynx device to be able to speak again. The use of the electrolarynx is generally equipped with a button to turn on and start the generation of sound from the electrolarynx. Several studies have tried to use other control methods by using the muscles in the neck, namely the sternohyoid muscle. Activation of the sternohyoid muscle has an influence on sound formation. The sternohyoid muscle is a small and long muscle so recording EMG (electromyograph) signals from this muscle is quite difficult. If the recording process of this signal can be carried out properly, then the electrolarynx control by empowering this muscle will be another solution in using the electrolarynx. In this study, instrumentation amplifier which is an important stage of recording EMG signals of neck muscle was tested and compared. There are two types of instrumentation amplifier tested. The first instrumentation amplifier uses a single IC from IC AD620 while the other is a combination circuit of IC OP07. The EMG signal in the subject's neck muscles was then recorded using the instrumentation amplifiers. The subject will sit down and pronounce the vowels "a", and "i". From the testing process, it was found that the average gain on IC AD620 (minimum 1.74362 volts and maximum 3.70538 volts) was greater than the gain on IC OP07 (minimum 0.57779 volts and maximum 1.71190 volts). IC AD620 also has an overall use area of 5.61 cm2 with the use of 4 external components. Thus, it can be concluded that the best instrumentation amplifier for recording EMG neck muscle for electrolarynx application is by using IC AD620.
{"title":"Comparison of Amplifiers Utilization in Instrumentation to Record Muscle Signals in the Neck for Electrolarynx Applications","authors":"M. Fatoni, Nabilah Ashriyah, T. A. Sardjono, M. Nuh","doi":"10.12962/jaree.v6i2.329","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.329","url":null,"abstract":"Electrolarynx is an assistive technology commonly used by speech impaired people to speak. The speech impaired people who have lost their larynx (laryngectomee) or have damaged larynx use an electrolarynx device to be able to speak again. The use of the electrolarynx is generally equipped with a button to turn on and start the generation of sound from the electrolarynx. Several studies have tried to use other control methods by using the muscles in the neck, namely the sternohyoid muscle. Activation of the sternohyoid muscle has an influence on sound formation. The sternohyoid muscle is a small and long muscle so recording EMG (electromyograph) signals from this muscle is quite difficult. If the recording process of this signal can be carried out properly, then the electrolarynx control by empowering this muscle will be another solution in using the electrolarynx. In this study, instrumentation amplifier which is an important stage of recording EMG signals of neck muscle was tested and compared. There are two types of instrumentation amplifier tested. The first instrumentation amplifier uses a single IC from IC AD620 while the other is a combination circuit of IC OP07. The EMG signal in the subject's neck muscles was then recorded using the instrumentation amplifiers. The subject will sit down and pronounce the vowels \"a\", and \"i\". From the testing process, it was found that the average gain on IC AD620 (minimum 1.74362 volts and maximum 3.70538 volts) was greater than the gain on IC OP07 (minimum 0.57779 volts and maximum 1.71190 volts). IC AD620 also has an overall use area of 5.61 cm2 with the use of 4 external components. Thus, it can be concluded that the best instrumentation amplifier for recording EMG neck muscle for electrolarynx application is by using IC AD620.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"692 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84129344","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}
Benjamin Kommey, E. Tamakloe, Bright Yeboah Akowuah
It is of no doubt that, emergencies occur without warning, and one does not predict the outcome. This project seeks to design a personal emergency or panic alert system (digiRESCUE) to aid in inevitable and dangerous situations. The digiRESCUE system has two main parts: the embedded hardware and software application. The hardware part is made up of a button embedded with a chip. This button when pressed triggers the chip, which then activates the software, portion of the system to send an automated message including the individual’s location to the selected contacts saved in the software application. The software part of the system is in the form of a mobile application, which can be downloaded onto a mobile device. This software would allow users to record or write an SOS message and input selected contacts (including friends, family, and authorities) who would be alerted of the user’s predicament when the external button in pressed. This software application can tap into the mobile device’s GPS module to inform the selected contacts of the individual’s location. The hardware would interact with the software application via Bluetooth connectivity therefore making the process of seeking for help, a lot quicker and easier. In situations where the individual is held as a hostage, he or she can easily call for help without drawing attention to oneself
{"title":"digiRESCUE: A Smart Personal Emergency Rescue System","authors":"Benjamin Kommey, E. Tamakloe, Bright Yeboah Akowuah","doi":"10.12962/jaree.v6i2.278","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.278","url":null,"abstract":"It is of no doubt that, emergencies occur without warning, and one does not predict the outcome. This project seeks to design a personal emergency or panic alert system (digiRESCUE) to aid in inevitable and dangerous situations. The digiRESCUE system has two main parts: the embedded hardware and software application. The hardware part is made up of a button embedded with a chip. This button when pressed triggers the chip, which then activates the software, portion of the system to send an automated message including the individual’s location to the selected contacts saved in the software application. The software part of the system is in the form of a mobile application, which can be downloaded onto a mobile device. This software would allow users to record or write an SOS message and input selected contacts (including friends, family, and authorities) who would be alerted of the user’s predicament when the external button in pressed. This software application can tap into the mobile device’s GPS module to inform the selected contacts of the individual’s location. The hardware would interact with the software application via Bluetooth connectivity therefore making the process of seeking for help, a lot quicker and easier. In situations where the individual is held as a hostage, he or she can easily call for help without drawing attention to oneself","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80975635","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}
The power produced by photovoltaic is very dependent on irradiation conditions and temperature so that the power can be low or high. The load cannot work if the power is low, but it harms the load if the power is too high. Two modes are used for this system, they are MPPT and CPG mode. When PV power is less than limit power (Plimit), then it works on MPPT mode. The MPPT finds maximum power, then if PV power reaches Plimit or more, it works on CPG mode. During CPG mode, SEPIC converter output power is maintained constant at Plimit so the battery can be charged using the Constant Power Method. The Algorithm used for each mode is the variable Step Size Climbing. The Variable Step Size Hill-Climbing on MPPT performs maximum power according to irradiation conditions. Variables Step Size Hill-Climbing on CPG stabilizes the output power value of SEPIC being constant to charge the battery using the power constant method by keeping the power as constant as its limit power, voltage and current electricity bring into line with charge conditions. The results of the hardware integrated test for MPPT-CPG, the Variable Step Size Hill Climbing algorithm can search for the maximum power point (MPP) generated by PV and can produce an output power of 27.97 W in average.
{"title":"Design and Implementation MPPT-CPG for Constant Power Battery Charger","authors":"Farah Namira Fajrianingrum, Renny Rakhmawati, Eka Prasetyono","doi":"10.12962/jaree.v6i2.319","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.319","url":null,"abstract":"The power produced by photovoltaic is very dependent on irradiation conditions and temperature so that the power can be low or high. The load cannot work if the power is low, but it harms the load if the power is too high. Two modes are used for this system, they are MPPT and CPG mode. When PV power is less than limit power (Plimit), then it works on MPPT mode. The MPPT finds maximum power, then if PV power reaches Plimit or more, it works on CPG mode. During CPG mode, SEPIC converter output power is maintained constant at Plimit so the battery can be charged using the Constant Power Method. The Algorithm used for each mode is the variable Step Size Climbing. The Variable Step Size Hill-Climbing on MPPT performs maximum power according to irradiation conditions. Variables Step Size Hill-Climbing on CPG stabilizes the output power value of SEPIC being constant to charge the battery using the power constant method by keeping the power as constant as its limit power, voltage and current electricity bring into line with charge conditions. The results of the hardware integrated test for MPPT-CPG, the Variable Step Size Hill Climbing algorithm can search for the maximum power point (MPP) generated by PV and can produce an output power of 27.97 W in average.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89406254","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}
Previous research of MPC for path tracking and obstacle avoidance showed the car was able to evade obstacles while tracking the path but ineffectively and path tracking tests show an oscillating movement of the car. The research was done by varying cost function weights and the car was assumed to have a constant velocity. The best performance was obtained when the error weight is greater than the input weight. This research aims to use MPC for trajectory tracking and obstacle avoidance by using Linear Time Variant MPC (LTV MPC), where the trajectory tracking problem is defined by using a time-varying reference. MPC parameter is varied to find the best performing design. In the obstacle avoidance system, obstacle detection is done by measuring the distance between the instant car position and the obstacle position. While an obstacle is detected, a new lateral position constraint is calculated. Trajectory tracking tests are done using 2 types of tracks, sine wave, and lane changing. Obstacle avoidance tests are done using 1 obstacle and 2 obstacles. Results are evaluated using RMSE of car position, cost function, and the nearest distance between car and obstacle. Results show that MPC was able to evade obstacles while tracking the time-varying reference with 0.4 s delay. However, some variations were not able to meet the safe zone constraints for obstacle avoidance.
先前的路径跟踪和避障的MPC研究表明，汽车在跟踪路径的同时能够避开障碍物，但效果不佳，并且路径跟踪测试显示汽车的振荡运动。研究是通过改变成本函数的权重，并假设汽车有一个恒定的速度。当误差权值大于输入权值时，系统性能最佳。本研究采用线性时变MPC (Linear Time Variant MPC, LTV MPC)，利用时变参考来定义轨迹跟踪问题，将MPC用于轨迹跟踪和避障。MPC参数的变化，以找到最佳的性能设计。在避障系统中，障碍物检测是通过测量瞬时车辆位置与障碍物位置之间的距离来完成的。当检测到障碍物时，计算新的横向位置约束。轨迹跟踪测试使用两种轨迹，正弦波和变道。避障测试使用1个障碍物和2个障碍物。使用车辆位置的均方根误差、成本函数和车辆与障碍物之间的最近距离来评估结果。结果表明，MPC能够在跟踪时变参考点的同时，以0.4 s的延迟避开障碍物。然而，一些变体不能满足避障的安全区域约束。
{"title":"Tracking Control of Autonomous Car with Attention to Obstacle Using Model Predictive Control","authors":"Ali Fatoni, E. Iskandar, Yasmina Alya","doi":"10.12962/jaree.v6i2.321","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.321","url":null,"abstract":"Previous research of MPC for path tracking and obstacle avoidance showed the car was able to evade obstacles while tracking the path but ineffectively and path tracking tests show an oscillating movement of the car. The research was done by varying cost function weights and the car was assumed to have a constant velocity. The best performance was obtained when the error weight is greater than the input weight. This research aims to use MPC for trajectory tracking and obstacle avoidance by using Linear Time Variant MPC (LTV MPC), where the trajectory tracking problem is defined by using a time-varying reference. MPC parameter is varied to find the best performing design. In the obstacle avoidance system, obstacle detection is done by measuring the distance between the instant car position and the obstacle position. While an obstacle is detected, a new lateral position constraint is calculated. Trajectory tracking tests are done using 2 types of tracks, sine wave, and lane changing. Obstacle avoidance tests are done using 1 obstacle and 2 obstacles. Results are evaluated using RMSE of car position, cost function, and the nearest distance between car and obstacle. Results show that MPC was able to evade obstacles while tracking the time-varying reference with 0.4 s delay. However, some variations were not able to meet the safe zone constraints for obstacle avoidance.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"99 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81272754","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}
Andi Rokhman Hermawan, E. M. Yuniarno, D. Wulandari
Learning to play a gamelan instrument would be easier when there’s a musical notation guide. The process of converting a musical signal into a notation guide is called transcription. In this paper, we would like to transcript the gamelan music especially the Demung instrument using the Deep Learning method. Each Demung’s note from 6-low until 1-high would be converted to the time-frequency domain using STFT (Short-Time Fourier Transform). Then, those data will be treated as an input for the multilayers perceptron. The training method is a single label of each notation. The output returned by the model is a music roll transcription.
{"title":"Gamelan Demung Music Transcription Based on STFT Using Deep Learning","authors":"Andi Rokhman Hermawan, E. M. Yuniarno, D. Wulandari","doi":"10.12962/jaree.v6i2.276","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.276","url":null,"abstract":"Learning to play a gamelan instrument would be easier when there’s a musical notation guide. The process of converting a musical signal into a notation guide is called transcription. In this paper, we would like to transcript the gamelan music especially the Demung instrument using the Deep Learning method. Each Demung’s note from 6-low until 1-high would be converted to the time-frequency domain using STFT (Short-Time Fourier Transform). Then, those data will be treated as an input for the multilayers perceptron. The training method is a single label of each notation. The output returned by the model is a music roll transcription.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87530565","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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