2022 8th International Conference on Science and Technology (ICST)最新文献

Classification of the Coffee Roasting Level Based on Electronic Nose 基于电子鼻的咖啡烘焙等级分类

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136263

D. Lelono, Lutfi Satrio Adi, Andi Dharmawan, J. E. Istiyanto, Moh. Idham Ananta Timur

{"title":"Classification of the Coffee Roasting Level Based on Electronic Nose","authors":"D. Lelono, Lutfi Satrio Adi, Andi Dharmawan, J. E. Istiyanto, Moh. Idham Ananta Timur","doi":"10.1109/ICST56971.2022.10136263","DOIUrl":"https://doi.org/10.1109/ICST56971.2022.10136263","url":null,"abstract":"Coffee beans must be roasted before serving for drinks. While the taste of coffee is largely determined by the quality and results of the roasted beans. So far, testing the aroma of coffee is still using the eyes, tongue and nose of people who are experts in their fields. Electronic nose exists as a device with the design to imitate human smell. This instrument can be used classify coffee's aroma based on the roasting level that is commonly used as a non-subjective method. Four types of Arabica coffee bean roasting level which are green, light, medium, and dark are used as an input to the electronic nose. Ten gas sensors as detector system, and the data acquisition consist of one cycle per sample which includes five phases of collecting phase. After pre-processing and feature extraction has been done to the data set, analysis is carried out using Principal Component Analysis (PCA) and K-Nearest Neighbour (KNN). The Results show the best K value of the KNN method for the sample is K=5, a system performance evaluation shows the test data and training data into 5-fold with an accuracy value of 67.5%, a precision value of 70.22%, and a recall value of 67.5%.","PeriodicalId":277761,"journal":{"name":"2022 8th International Conference on Science and Technology (ICST)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129125449","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

Utilization of Doppler Weather Surveillance Radar for Wind-Shear Detection in Airport 多普勒天气监测雷达在机场风切变探测中的应用

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136300

L. K. N. Arta Kusuma, Ire Pratiwi, H. Ismanto, M. A. Fitrianto

{"title":"Utilization of Doppler Weather Surveillance Radar for Wind-Shear Detection in Airport","authors":"L. K. N. Arta Kusuma, Ire Pratiwi, H. Ismanto, M. A. Fitrianto","doi":"10.1109/ICST56971.2022.10136300","DOIUrl":"https://doi.org/10.1109/ICST56971.2022.10136300","url":null,"abstract":"Low-level wind-shear due to microburst is a dangerous phenomenon for aircraft takeoff and landing activities which generally occur from the surface to an altitude of 500 m (1500 feet). To detect wind-shear associated with microburst, observations can be made through the LLWAS (Low-level Wind Shear Alert System) Anemometer and Terminal Doppler Weather Radar (TDWR) instruments. Although not completely identical to TDWR, especially in terms of beamwidth, with a much lower operational cost Doppler weather surveillance radar (DWSR) can also be used to detect wind-shear at airports. The use of DWSR for windshear detection can be carried out in four aspects, i.e. applying the same scanning strategy concept as TDWR, placing radar locations near the middle runway, applying detailed clutter filters in their operations, and finally applying microburst and gust-front with wind-shift phenomenon detection algorithms. Potential shortcomings that may be obtained in applying Doppler weather radar for wind-shear detection are miss detection and false alarms which are higher than TDWR. This deficiency can be minimized by involving human operators in disseminating wind-shear information to users.","PeriodicalId":277761,"journal":{"name":"2022 8th International Conference on Science and Technology (ICST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126460381","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

Fish Eye Imaging as Water Pollution Bioindicator using Photoacoustic Tomography System 光声层析成像系统中鱼眼成像作为水污染生物指标的研究

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136266

Eta W. Prasetya, F. A. Tasmara, Mitrayana

引用次数: 0

Noise Removal in The IMU Sensor Using Exponential Moving Average with Parameter Selection in Remotely Operated Vehicle (ROV) 基于指数移动平均和参数选择的IMU传感器噪声去除

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136259

Indra Budi Setyawan, Andri Khoirul Huda, Fakhruddin Hanif Nashrullah, Ilham Dwi Kurniawan, Sartono Indo Frans, J. Hendry

引用次数: 0

Welcoming Remarks from the ICST 2022 Chair ICST 2022主席致欢迎辞

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/icst56971.2022.10136261

引用次数: 0

Sentiment Analysis Based on Tweet Reply at Public Figure Account using Machine Learning and Latent Semantic Analysis 基于机器学习和潜在语义分析的公众人物微博回复情感分析

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136288

M. A. Gumilang, T. D. Puspitasari, Hermawan Arief Putranto, Abdul Kholiq, A. Samsudin

引用次数: 1

Localization Design and Implementation Using Combined Rotary Encoder, IMU, and ROS on Delivery Service Robots in Building Area 基于旋转编码器、IMU和ROS的建筑区域配送机器人定位设计与实现

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136264

Putu Duta Hasta Putra, Moch I. Riansyah, Ardiansyah Al Farouq

{"title":"Localization Design and Implementation Using Combined Rotary Encoder, IMU, and ROS on Delivery Service Robots in Building Area","authors":"Putu Duta Hasta Putra, Moch I. Riansyah, Ardiansyah Al Farouq","doi":"10.1109/ICST56971.2022.10136264","DOIUrl":"https://doi.org/10.1109/ICST56971.2022.10136264","url":null,"abstract":"Developing delivery service robots requires an accurate localization system to send delivery objects to the right and appropriate locations. Localization of the robot is needed to determine its position and displacement at the intended point. To perform localization, precise sensors and appropriate algorithms are required to perform localization. Using localization only determines precision using one rotary encoder sensor, it is tough to get localization precision. Therefore, it is necessary to combine sensors and get the right algorithm to get localization precision, using a combination of Rotary Encoder and IMU sensors using EKF algorithms and robot operating system makes it easier in communicating, build a robot, and configure the setup. From the result of the tests carried out when moving linearly using a Rotary Encoder sensor, the average error result is obtained as 0.89602 m, and the result when using a combined sensor, between the rotary encoder and IMU, the average error results obtained are 0.85951 m. By using a combined sensor, it has been proven that the combination of these sensors produces a smaller distance error, so that when using a combined sensor the robot's precision level when moving is very small.","PeriodicalId":277761,"journal":{"name":"2022 8th International Conference on Science and Technology (ICST)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126107761","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

Person Re-Identification using Background Subtraction and Siamese Network for Pose Varians 基于背景减法和暹罗网络的姿态变量人物再识别

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136309

Elsa Serli Nabila, Wahyono

{"title":"Person Re-Identification using Background Subtraction and Siamese Network for Pose Varians","authors":"Elsa Serli Nabila, Wahyono","doi":"10.1109/ICST56971.2022.10136309","DOIUrl":"https://doi.org/10.1109/ICST56971.2022.10136309","url":null,"abstract":"Person Re-Identification is a process where the algorithm in charge of matching the similarity of two objects. This method can be used as an alternative solution for the current traditional security surveillance. Many modern technologies that use this model, especially in the use of Video Surveillance. The expected output from the use of this model is the process of monitoring and detecting the similarity of two human objects more efficiently and accurately. However, in its implementation there are still many problems found by previous researchers related to Person Identification. Some of the problems that are often encountered in re-identification are image occlusion, pose variance, illuminati, etc. One of the problems that occur is the difference in poses, the difference in poses causes the re-identification process to often experience errors because the features obtained by the two images may experience differences. In this study, trying to implement the algorithm on a video dataset. There is an additional preprocessing which uses the image segmentation method to extract objects from the video dataset. After pre-processing, the image obtained will be re-identified using the Siamese Network Algorithm. The test results obtained an accuracy of 51% and 54% for each architecture. While the accuracy value of object detection obtained is 0.359 and 0.378, which means that the addition of segmentation using the background subtraction model when compared to previous studies is still not effective in dealing with the problem of different poses.","PeriodicalId":277761,"journal":{"name":"2022 8th International Conference on Science and Technology (ICST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127132403","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

Hierarchical Neural Network Implementation: Emotion Recognition for Food Security Comments on Twitter 层次神经网络实现:推特上食品安全评论的情感识别

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136257

D. Fudholi, Erwin Eko Wahyudi, Novia Arum Sari, Linus Randu Danardya, Nurrizky Imani

引用次数: 0

Human DNA Profile Identification Using DNA Database System 利用DNA数据库系统进行人类DNA图谱鉴定

2022 8th International Conference on Science and Technology (ICST) Pub Date : 2022-09-07 DOI: 10.1109/ICST56971.2022.10136305

Meira Parma Dewi, A. M. Arymurthy, Suryana Setiawan, N. Soedarsono

引用次数: 0