The evolution of robotics and their control systems have made the placement of arms, their motion, grasping of objects, as well as exploring their immediate environments a very important area of research. The electronic design and implementation of the humanoid which involves the keypad and graphical user interface (GUI) to track the movement of the humanoid robot as well as control the humanoid robot in performing the tasks of avoidance of obstacles and picking of objects is achieved. The system is made of two units: the remote controller unit and the humanoid control unit. The remote controller unit is of two types namely; the keypad and the GUI. The keypad uses the buttons to control or direct the humanoid while the GUI does the control using PC. The GUI has the additional function of viewing the picture taken by the humanoid, if the arrangement of an obstacle is not included among the sixteen obstacle avoidance algorithms considered. The humanoid control unit makes the humanoid walk and avoid obstacles autonomously. The simulation of robotic humanoid and hardware results also show that the hardware implementation can be embedded into the humanoid frame for surveillance applications
{"title":"Design of a Robotic Humanoid for Surveillance Application","authors":"D. O. Agbo, J. A. Enokela, Goshwe Y. Nentawe","doi":"10.11594/ijer.02.01.05","DOIUrl":"https://doi.org/10.11594/ijer.02.01.05","url":null,"abstract":"The evolution of robotics and their control systems have made the placement of arms, their motion, grasping of objects, as well as exploring their immediate environments a very important area of research. The electronic design and implementation of the humanoid which involves the keypad and graphical user interface (GUI) to track the movement of the humanoid robot as well as control the humanoid robot in performing the tasks of avoidance of obstacles and picking of objects is achieved. The system is made of two units: the remote controller unit and the humanoid control unit. The remote controller unit is of two types namely; the keypad and the GUI. The keypad uses the buttons to control or direct the humanoid while the GUI does the control using PC. The GUI has the additional function of viewing the picture taken by the humanoid, if the arrangement of an obstacle is not included among the sixteen obstacle avoidance algorithms considered. The humanoid control unit makes the humanoid walk and avoid obstacles autonomously. The simulation of robotic humanoid and hardware results also show that the hardware implementation can be embedded into the humanoid frame for surveillance applications","PeriodicalId":308664,"journal":{"name":"Indonesian Journal of Engineering Research","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116456851","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}
S. Kautsar, R. Ardiansyah, Muhammad Mashfuks, K. Agustianto
Covid-19 (Coronavirus disease 2019) is a new coronavirus (SARS-CoV-2) that is known to have originated in Wuhan, China. It was found at the end of December 2019 with countries infected with the Coronavirus in more than 65 countries. According to WHO data as of the 4th of March 2020, the number of sufferers was 90,308 infected with Covid-19. In Indonesia as of April 14, 2010, people with Covid-19 were positive for 4,839, recovered 426, and died 459. In Indonesia, one of the ways to tackle the Covid-19 pandemic is by spraying with disinfectant liquid and delivering food or medicine to patients infected with Covid. -19 is still in close contact with a patient who is still likely to be infected from that patient. According to general guidelines in dealing with the Covid-19 pandemic, one of them is done by spraying disinfectants in several public facilities such as health clinics, government office, schools, bridges, parks, fields, and other public areas. However, sterilization is still done manually by health workers. This puts medical personnel at risk of being exposed to the covid-19 virus. Therefore, in this study, a multi-functional robot with a remote control equipped with an FPV camera was developed. The robot can be used to spray disinfectant, UV lamp-based sterilization, and deliver food and medicine to patients infected with Covid-19. From the test results, the teleoperation system can work well with a range of 30 meters indoors and 150 meters outdoors.
{"title":"The 3in1 Robot Design for Medical Assistant on 2019-nCoV case","authors":"S. Kautsar, R. Ardiansyah, Muhammad Mashfuks, K. Agustianto","doi":"10.11594/ijer.02.01.01","DOIUrl":"https://doi.org/10.11594/ijer.02.01.01","url":null,"abstract":"Covid-19 (Coronavirus disease 2019) is a new coronavirus (SARS-CoV-2) that is known to have originated in Wuhan, China. It was found at the end of December 2019 with countries infected with the Coronavirus in more than 65 countries. According to WHO data as of the 4th of March 2020, the number of sufferers was 90,308 infected with Covid-19. In Indonesia as of April 14, 2010, people with Covid-19 were positive for 4,839, recovered 426, and died 459. In Indonesia, one of the ways to tackle the Covid-19 pandemic is by spraying with disinfectant liquid and delivering food or medicine to patients infected with Covid. -19 is still in close contact with a patient who is still likely to be infected from that patient. According to general guidelines in dealing with the Covid-19 pandemic, one of them is done by spraying disinfectants in several public facilities such as health clinics, government office, schools, bridges, parks, fields, and other public areas. However, sterilization is still done manually by health workers. This puts medical personnel at risk of being exposed to the covid-19 virus. Therefore, in this study, a multi-functional robot with a remote control equipped with an FPV camera was developed. The robot can be used to spray disinfectant, UV lamp-based sterilization, and deliver food and medicine to patients infected with Covid-19. From the test results, the teleoperation system can work well with a range of 30 meters indoors and 150 meters outdoors.","PeriodicalId":308664,"journal":{"name":"Indonesian Journal of Engineering Research","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121435708","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. I. Nari, Januar Ajie Laksono, Bachrul Ulum Hidayat, A. R. A. Udin
The increase in the number of vehicles especially cars causes the air environment to look polluted. This is caused by vehicle exhaust gases that can affect the level of human health. Harmful gases such as carbon dioxide (CO) and hydrocarbon (HC) can also enter the car cabin, making people inside feel suffocated and even death. To find out the presence of these gases, a monitoring system prototype is made which is placed in the car cabin. This system consists of input in the form of an MQ-9 sensor and a TGS2610 sensor. The readings of these sensors are processed by Arduino Uno. The system output is made in the form of a buzzer and LCD. Tests carried out on the car cabin area are divided into three, namely front, middle, and rear. The results of the 6 tests show that the smallest percentage of CO errors is 8% in the middle area and HC of 8.7% in the rear area of the car cabin.
{"title":"The Portable Carbon Monoxide (CO) and Hydrocarbons (HC) Gas Detection System in The Car Cabin Uses The MQ-9 and TGS 2610 Sensors","authors":"M. I. Nari, Januar Ajie Laksono, Bachrul Ulum Hidayat, A. R. A. Udin","doi":"10.11594/IJER.02.01.03","DOIUrl":"https://doi.org/10.11594/IJER.02.01.03","url":null,"abstract":"The increase in the number of vehicles especially cars causes the air environment to look polluted. This is caused by vehicle exhaust gases that can affect the level of human health. Harmful gases such as carbon dioxide (CO) and hydrocarbon (HC) can also enter the car cabin, making people inside feel suffocated and even death. To find out the presence of these gases, a monitoring system prototype is made which is placed in the car cabin. This system consists of input in the form of an MQ-9 sensor and a TGS2610 sensor. The readings of these sensors are processed by Arduino Uno. The system output is made in the form of a buzzer and LCD. Tests carried out on the car cabin area are divided into three, namely front, middle, and rear. The results of the 6 tests show that the smallest percentage of CO errors is 8% in the middle area and HC of 8.7% in the rear area of the car cabin.","PeriodicalId":308664,"journal":{"name":"Indonesian Journal of Engineering Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124096022","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}
Differential quadrature phase-shift keying (DQPSK) modulation methods and variations are commonly used in wireless communication, including high-speed optical fiber, Bluetooth, and satellite communication. DQPSK cannot be isolated from possible interference with its present application. The interference cancellation process has been observed and analyzed using a device model built in this study. The core components of the supporting block for this device model have raised cosine filters for pulse shaping and adaptive filters. The presence of these core components has resulted in a dramatic improvement in device efficiency, according to robust Simulink data. The best bit error rate (BER) of 5.7e-03 provides evidence of this.
{"title":"Adaptive filter and pulse-shaping for interference cancellation of differential quadrature phase-shift keying modulation","authors":"R. Hidayat, Farhan Adani","doi":"10.11594/ijer.02.01.02","DOIUrl":"https://doi.org/10.11594/ijer.02.01.02","url":null,"abstract":"Differential quadrature phase-shift keying (DQPSK) modulation methods and variations are commonly used in wireless communication, including high-speed optical fiber, Bluetooth, and satellite communication. DQPSK cannot be isolated from possible interference with its present application. The interference cancellation process has been observed and analyzed using a device model built in this study. The core components of the supporting block for this device model have raised cosine filters for pulse shaping and adaptive filters. The presence of these core components has resulted in a dramatic improvement in device efficiency, according to robust Simulink data. The best bit error rate (BER) of 5.7e-03 provides evidence of this.","PeriodicalId":308664,"journal":{"name":"Indonesian Journal of Engineering Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127851874","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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