D. Pamungkas, Imanuel Simatupang, S. K. Risandriya
{"title":"Comparison Gestures Recognition Using K-NN and Naïve Bayes","authors":"D. Pamungkas, Imanuel Simatupang, S. K. Risandriya","doi":"10.1109/iCAST51016.2020.9557730","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557730","url":null,"abstract":"There are some technics to recognize the gesture of the hands using electromyography signals (EMG). Comparing the K-NN method and the Naïve Bayes algorithm is presented in this paper. To obtain the EMG signal, a Myo armband is used, which is placed in the arm of a subject. Five gestures of the hand are used to be compared by both algorithms. Those gestures are utilized to drive a mobile robot to follow a particular path. The results show that the Naïve Bayes has success scores higher than the K-NN. Moreover, when the algorithms are used to control the robot, the Naïve Bayes method is faster to complete the path than the K-NN algorithm.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132490392","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}
{"title":"Closed Loop System BLDC Motor For Electric-Bike","authors":"Hendi Purnata, Muhamad Yusuf, S. Riyanto","doi":"10.1109/iCAST51016.2020.9557642","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557642","url":null,"abstract":"Electric bicycles are bicycles that have motion aids, namely electric motors. The electric motor used is the BLDC (Brushless Direct Current) Motor. This study explains the characteristics of a BLDC motor with a closed loop system to be used on electric bicycles. The purpose of this study is using a controller to find the flow of the feedback signal from the motor. The BLDC motor control uses several power electronic components and a digital control system. The BLDC motor drive is an actuates driven by an integrated circuit and electric power electronic devices on an electric bicycle. The characteristics of a BLDC motor get the motor current at the initial state requires 4.42 A. Speed with a throttle 100% is 332 rpm. Output characteristics and models on BLDC motors are useful for various fields of use. BLDC motor is the right choice for use as an electric vehicle. By knowing the characteristics of a closed loop system, he knows the power needed. The contribution of this research is knowing a closed feedback system.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126512922","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}
A. Amelia, Roslina, N. Fahmi, H. Pranoto, B. V. Sundawa, Irwan Saputra Hutauruk, Abdullah Arief
{"title":"MQTT Protocol Implementation for Monitoring of Environmental Based on IoT","authors":"A. Amelia, Roslina, N. Fahmi, H. Pranoto, B. V. Sundawa, Irwan Saputra Hutauruk, Abdullah Arief","doi":"10.1109/iCAST51016.2020.9557694","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557694","url":null,"abstract":"Various of environmental applications has implemented IoT technology as a solution in solving problems. For instance, air quality measurements. There are many communication technologies used to measure air quality by utilizing Wireless Sensor Network (WSN), Wi-Fi, Bluetooth, and LoRa as communication medias. This study aims to implement the Message Queuing Telemetry Transport (MQTT) protocol in monitoring environmental conditions. MQTT is implemented using the ESP8266 Wi-Fi module, temperature sensor, humidity sensor, and Carbon Dioxide (CO2) sensor. Furthermore, the modules will send data to the MQTT broker using a wireless network which running on the Raspberry Pi. As a result, there is no packet loss when using the MQTT protocol. All environmental data can be monitored in real time using web-based application.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747242","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}