2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)最新文献

Metal Insulator Metal Capacitors, Spiral Inductors and Resistors for Multilayer CPW MMIC 用于多层CPW MMIC的金属绝缘体、金属电容器、螺旋电感和电阻

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10038169

E. Sinulingga, Abdul Risyal Nasution

引用次数: 0

FVD Method as AC Drives for Three Phase Induction Motor with Digester, Conveyor and Pump Loads FVD法作为带消化器、输送机和泵负载的三相感应电动机的交流驱动

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10037862

Ir. Syafruddin, Suherman, Ir.Michael Fritz Immanuel Sibarani

{"title":"FVD Method as AC Drives for Three Phase Induction Motor with Digester, Conveyor and Pump Loads","authors":"Ir. Syafruddin, Suherman, Ir.Michael Fritz Immanuel Sibarani","doi":"10.1109/ELTICOM57747.2022.10037862","DOIUrl":"https://doi.org/10.1109/ELTICOM57747.2022.10037862","url":null,"abstract":"This paper will discuss about induction motors that are widely used in industry. Some problems of induction motor are like it cannot work optimally and in some application its work slightly above the ability of the power on the nameplate. Induction motor has advantages such as simple, rigid construction, relatively cheap prices and uncomplicated maintenance, but it is difficult to control speed. The control of induction motor is usually done using an ac drive. In this paper, we will analyze the induction motor, that its terminal supplied by variable voltage variable frequency sources that using frequency voltage drive method (fvd method). The loads of the induction motor are digester, conveyor and pump. The result shows that the rotation of motor decrease from 2605 rpm to 2410 rpm with the increasing of the mass added to the digester reservoir from 1264 kg to 1670 kg. The same conditions was happened when increasing mass placed on the conveyor from 158 kg to 651 kg and the flow in the pump increases from 4.6 m/hour to 7.7 m/hour.","PeriodicalId":406626,"journal":{"name":"2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128325752","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}

引用次数: 0

ELTICOM 2022 Blank Page ELTICOM 2022空白页

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/elticom57747.2022.10037860

引用次数: 0

Oral Presentation Room 2 口头报告室2

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/elticom57747.2022.10037926

引用次数: 0

Implementation Combination of Case-Based Reasoning and Rule-Based Reasoning for Diagnosis of Herpes Disease 基于案例推理与基于规则推理相结合的疱疹病诊断的实现

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10037979

D. Rachmawati, Elviwani, Ary Boby Siregar

引用次数: 0

Identification and Sorting of Waste using Artificial Intelligence Based on Convolutional Neural Network 基于卷积神经网络的人工智能垃圾识别与分类

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10038044

F. Fahmi, Baharsyah Pratama Lubis

{"title":"Identification and Sorting of Waste using Artificial Intelligence Based on Convolutional Neural Network","authors":"F. Fahmi, Baharsyah Pratama Lubis","doi":"10.1109/ELTICOM57747.2022.10038044","DOIUrl":"https://doi.org/10.1109/ELTICOM57747.2022.10038044","url":null,"abstract":"Indonesia is one of the biggest producers of waste in the world. Every day there is rubbish that is not thrown in the trash, those that have been thrown in its place but are still wrong in distinguishing the type of garbage. In general, one of the types of waste is based on its nature, some are easy to decompose (organic), and some are difficult to decompose (inorganic). This research introduces five organic and inorganic waste objects by seeing whether the system can read objects at every position in the background and the number of objects in 1 picture frame. This system uses Tensorflow with a sample of 100 images for each object. Each sample object is given an identifier according to the object’s name and type. The sample is given an identifier for the system to learn to recognize the patterns and shapes of objects from the data objects we take. The results showed that the average percentage of system accuracy in detecting objects reached 90%, with the highest data accuracy reaching 99% tested on the banana peel, leaves, grass, cardboard, styrofoam, broken glass, bottles, cans, and nails. Furthermore, the authors try to put two or more different objects in the same frame and produce an average percentage value of 90%, as well as testing two or more similar objects in one frame simultaneously and producing an average value of 90%. From the test results, grass and bottle objects are samples that do not have read errors in the system design. For testing two or more objects in one frame, the author puts two similar objects and objects of different types. The result is that the system can recognize objects in the frame.","PeriodicalId":406626,"journal":{"name":"2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050563","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}

引用次数: 3

Analysis of Arc Characteristics for Improvement of Power Protection Device Performance 提高电源保护装置性能的电弧特性分析

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10038272

N. Kodama

引用次数: 0

Effect of Changes in Resistive, Inductive, and Excitation Capacitance on Voltage and Frequency of Induction Generators 电阻、电感和激励电容的变化对感应发电机电压和频率的影响

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10038232

Y. Siregar, Gustiawan, M. K. S. Tial

引用次数: 0

Design of Classification of Human Stress Levels Based on Brain Wave Observation Using EEG with K-NN Algorithm 基于脑电图观察的人体应激水平K-NN分类设计

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10038004

F. Fahmi, Veny Aprianti, B. Siregar, M. Aziz

{"title":"Design of Classification of Human Stress Levels Based on Brain Wave Observation Using EEG with K-NN Algorithm","authors":"F. Fahmi, Veny Aprianti, B. Siregar, M. Aziz","doi":"10.1109/ELTICOM57747.2022.10038004","DOIUrl":"https://doi.org/10.1109/ELTICOM57747.2022.10038004","url":null,"abstract":"Stress is a condition that can suppress the person’s psychic state in achieving something. Stress, at some level, can harm human health since it can cause various diseases that humans often underestimate. These diseases include headaches, cramps, heart attacks, high blood pressure, and even strokes can occur. Stress levels are detected by manually filling out questionnaires or conducting self-assessment tests. However, it seems subjective because the results depend on honesty in answering the questionnaire. Therefore, in this study, we conduct a study to classify human stress levels by observing brain wave activity using an Electroencephalogram (EEG). Since EEG signals can directly reflect the brain’s electrical activity, they can be used as an objective measure for classifying stress levels. In this study, the method used in classification is K-Nearest Neighbour. The signal processing stages include pre-processing, feature extraction using Independent Component Analysis (ICA), and then classification using K-Nearest Neighbour. This research used 62 data as training and testing data. After testing the system, it was concluded that the K-Nearest Neighbour method could classify stress into normal and high levels with an accuracy of 75% with a k-value of 7.","PeriodicalId":406626,"journal":{"name":"2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127975618","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}

引用次数: 0

Estimation of Path Loss Propagation Model on Homogeneous Vegetation for 2100 MHz Mobile Communication Networks 2100 MHz移动通信网络均匀植被下路径损耗传播模型估计

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) Pub Date : 2022-11-22 DOI: 10.1109/ELTICOM57747.2022.10038023

M. Pinem, Fadilah Rahma, A. H. Rambe, Nur Adilah, Hendri, Yuliana Munthe

{"title":"Estimation of Path Loss Propagation Model on Homogeneous Vegetation for 2100 MHz Mobile Communication Networks","authors":"M. Pinem, Fadilah Rahma, A. H. Rambe, Nur Adilah, Hendri, Yuliana Munthe","doi":"10.1109/ELTICOM57747.2022.10038023","DOIUrl":"https://doi.org/10.1109/ELTICOM57747.2022.10038023","url":null,"abstract":"This study discusses the estimation of propagation model for urban areas in the University of Sumatera Utara which are surrounded by many trees. Measurement data obtained by the drive test method were taken from 3 routes, each route was covered by homogeneous vegetation. This study compares the calculation results of propagation models such as the Lee model, the COST 231 Hata model, the Walfich-Bertoni model, and the COST 231 Walfich-Ikegami model to obtain an estimation model that is suitable for the University of North Sumatra. To obtain the estimation model used quadratic parabolic regression method and the addition of the coefficient of Root Mean Square Error (RMSE). Based on the results of the quadratic parabolic regression method and the results of the RMSE values for each propagation model, a propagation model that is close to the research results is obtained, namely the Walfisch-Bertoni propagation model. By adding the RMSE coefficient to the Walfisch-Bertoni equation, an adjusted Walfisch-Bertoni model is obtained with a decreasing value of up to 25 dB for all routes. This shows that the appropriate propagation model for the University of Sumatera Utara is the Walfisch-Bertoni propagation model.","PeriodicalId":406626,"journal":{"name":"2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131324684","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}

引用次数: 0