2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第2页

Development and Implementation of Kalman Filter for IoT Sensors: Towards a Better Precision Agriculture 物联网传感器卡尔曼滤波的开发与实现:迈向更好的精准农业

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315464

A. Winursito, Ibnu Masngut, G. Pratama

引用次数: 1

Initial Access in 5G mmWave Communication using Hybrid Genetic Algorithm and Particle Swarm Optimization 基于混合遗传算法和粒子群优化的5G毫米波通信初始接入

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315331

M. Archi, D. Gunawan

{"title":"Initial Access in 5G mmWave Communication using Hybrid Genetic Algorithm and Particle Swarm Optimization","authors":"M. Archi, D. Gunawan","doi":"10.1109/ISRITI51436.2020.9315331","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315331","url":null,"abstract":"5G communication services, which provide many benefits and advantages, require several good technical specifications for each process mechanism. A delay is still a problem in the initial access mechanism to reach the 5G communication performance specification. Significant delays can occur when finding appropriate beam alignments to obtain directional links between the Base Station (BS) and the User Equipment (UE). Solving the problem with a suitable method makes the topic is important. In this paper, we propose a new beam refinement method based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), namely Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO), which this method has several advantages over GA and PSO respectively. We use the capacity parameter against the number of iterations (delay) as a performance evaluation metric, where the suitable method is determined using these parameters. The simulation results show that HGAPSO has the second-lowest number of iterations in achieving convergence with the highest capacity compared to the GA and PSO methods. From these results, we conclude that HGAPSO is a suitable method compared to GA and PSO for the initial access mechanism in mmWave 5G communication systems.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530526","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

Development of Temperature and Humidity Control System in Internet-of-Things based Oyster Mushroom Cultivation 基于物联网的平菇栽培温湿度控制系统的开发

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315426

A. Najmurrokhman, Kusnandar, Ahmad Daelami, E. Nurlina, U. Komarudin, Hasbi Ridhatama

{"title":"Development of Temperature and Humidity Control System in Internet-of-Things based Oyster Mushroom Cultivation","authors":"A. Najmurrokhman, Kusnandar, Ahmad Daelami, E. Nurlina, U. Komarudin, Hasbi Ridhatama","doi":"10.1109/ISRITI51436.2020.9315426","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315426","url":null,"abstract":"Oyster mushrooms are a kind of mushrooms that have high nutritional content and medicinal properties. This plant can be cultivated using planting media with the proper composition and the certain temperature as well as humidity. This paper describes the design and implementation of a prototype of temperature and humidity control system in the oyster mushroom cultivation based on the internet-of-things framework to obtain the good quality mushrooms. Controlling is carried out by utilizing DHT-11 sensor, Arduino Uno microcontroller, MCU ESP8266, and the internet-of-things (IoT) platforms which are called Cayenne. The temperature is maintained between 22°C-28°C and humidity of 60%-80% through continuous monitoring remotely. The Cayenne application installed on the desktop computer or an Android-based mobile phone provides data on temperature and humidity at all times. Experimental results show that monitoring and controlling temperature and humidity can be done well through the Cayenne application so that the whole system realizes the concept of IoT.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127700606","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: 8

Prediction of Gross Domestic Product (GDP) in Indonesia Using Deep Learning Algorithm 利用深度学习算法预测印尼国内生产总值(GDP)

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315519

S. Sa'adah, Muhammad Satrio Wibowo

引用次数: 6

Prediction of Liver Cancer Based on DNA Sequence Using Ensemble Method 基于DNA序列集成预测肝癌的研究

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315341

L. Muflikhah, N. Widodo, W. Mahmudy, Solimun

引用次数: 3

Analytic Predictive of Hepatitis using The Regression Logic Algorithm 基于回归逻辑算法的肝炎预测分析

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315365

G. V. Nivaan, A. Emanuel

引用次数: 3

Smart Safe Prototype Based Internet of Things (IoT) with Face and Fingerprint Recognition 基于智能安全原型的物联网(IoT)，具有面部和指纹识别

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315430

Ramadhan Rizki Setyadi, Istikmal, A. Irawan

{"title":"Smart Safe Prototype Based Internet of Things (IoT) with Face and Fingerprint Recognition","authors":"Ramadhan Rizki Setyadi, Istikmal, A. Irawan","doi":"10.1109/ISRITI51436.2020.9315430","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315430","url":null,"abstract":"The safe box is currently considered safe but is not truly safe. That is because safe storage has a security method using PINs that can be seen by others. Therefore, a more secure safe box security system is needed. This paper purpose a safe box prototype with an added security system using a two-way verification system and an integrated Internet of Things (IoT) system. The face recognition system and fingerprint system used in this system. The face recognition system developed an LBP (Local Binary Pattern) clarification and embedded Haar cascade program in raspberry Pi. For real-time monitoring, the safe box has been designed to provide violation alerts via notifications on android apps. Two-way verification smart safe box has a good face recognition system especially when the conditions are bright and also the best way to identify fingerprints on a flat position. In LOS conditions, the best distance is at 4 meters with a delay value of 0.373 s and throughput of 3680.533 bps. In non-LOS condition, the best distance is 2 meters with a delay value of 0.380 seconds and throughput of 4055.73 bytes/s.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133997916","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: 2

Three Phase Induction Motor Dynamic Speed Regulation Using IP Controller 基于IP控制器的三相异步电动机动态调速

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315340

Satriya Herayudha Samudera, M. Rifadil, I. Ferdiansyah, Syechu Dwitya Nugraha, O. Qudsi, E. Purwanto

{"title":"Three Phase Induction Motor Dynamic Speed Regulation Using IP Controller","authors":"Satriya Herayudha Samudera, M. Rifadil, I. Ferdiansyah, Syechu Dwitya Nugraha, O. Qudsi, E. Purwanto","doi":"10.1109/ISRITI51436.2020.9315340","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315340","url":null,"abstract":"The speed of an induction motor is difficult to control, it happens because the torque and flux produced are not independent or related to each other so that they cannot maintain a constant speed when a load changes. Therefore, we need a control to increase the response of three-phase induction motors. This research applies IP controller and scalar control to regulate the motor speed with electric vehicle loads using SVPWM inverter (space vector pulse width modulation) to improve the inverter output signal so that it can adjust the speed of the induction motor when the load changes. System performance has been tested using Matlab. The simulation results show that the IP controller can improve the dynamic response system and reduce the overshoot value compared with the conventional PI controller. The speed change on the IP controller has succeeded in reaching the 1000 rpm set point with a rise time of 0.342 seconds at a steady state of 0.36 seconds and an overshoot of 2.830%. At a set point speed up to 800 Rpm, a stable condition is obtained with rise time of 0.12 seconds and an overshoot of 5.649%.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346000","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

Facial Expression Recognition and Face Recognition Using a Convolutional Neural Network 基于卷积神经网络的面部表情识别和人脸识别

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315513

Suci Dwijayanti, Rahmad Rhedo Abdillah, Hera Hikmarika, Hermawati, Zaenal Husin, B. Suprapto

{"title":"Facial Expression Recognition and Face Recognition Using a Convolutional Neural Network","authors":"Suci Dwijayanti, Rahmad Rhedo Abdillah, Hera Hikmarika, Hermawati, Zaenal Husin, B. Suprapto","doi":"10.1109/ISRITI51436.2020.9315513","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315513","url":null,"abstract":"The human face can be used in various biometrics procedures to identify an individual through face recognition or for facial expression recognition. However, not many studies have addressed the problem of face recognition along with facial expression recognition. In addition, some studies have directed more attention to finding the most suitable feature to extract and feed to a classifier. This study focused on addressing the problem using a convolutional neural network (CNN)-based method. Unlike other methods that require suitable features to be found, this study utilized raw images as the input to the CNN. A total of 16,640 images showing four facial expressions (normal, smiling, surprised, and angry) were used as input data. These data were obtained from 52 people and captured under outdoor conditions (in midday and the afternoon) using a webcam. The CNN-VGG was utilized because it is deep and fast enough for both face recognition and facial expression recognition purposes. The results showed that the VGG-f model architecture could overcome the underfitting and overfitting problems stemming from simpler CNN architectures. The testing results showed that the VGG-f model could recognize faces and facial expressions well. The average accuracies achieved in recognizing 104 faces during the day and in the afternoon were 86.5% and 90.4%, respectively. Additionally, the average accuracies achieved in recognizing the four different facial expressions of 52 people were 72% and 74% during the day and at noon, respectively. Recognition errors may have been caused by similarities between images.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614192","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

Fruits Classification from Image using MPEG-7 Visual Descriptors and Extreme Learning Machine 基于MPEG-7视觉描述符和极限学习机的图像水果分类

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315523

J. Siswantoro, Heru Arwoko, M. Z. Siswantoro

引用次数: 3