PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021最新文献_第2页

The effect of multiple changes in motor parameter values simultaneously on the PMSM speed sensorless control system 电机参数值多次同时变化对永磁同步电动机无速度传感器控制系统的影响

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0103207

B. Harini

引用次数: 0

Investigating of sine curve in polar coordinates using GeoGebra 用GeoGebra研究极坐标下的正弦曲线

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0104182

D. Suwarno

引用次数: 0

Evaluation of image resize and thresholding binary on Covid-19 detection using convolutional neural network 卷积神经网络图像调整大小和阈值二值对Covid-19检测效果的评价

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0103183

Rizki Wulan Agustin, Farah Noviandini, Bunga Mastiti Darmawan, Endarko

{"title":"Evaluation of image resize and thresholding binary on Covid-19 detection using convolutional neural network","authors":"Rizki Wulan Agustin, Farah Noviandini, Bunga Mastiti Darmawan, Endarko","doi":"10.1063/5.0103183","DOIUrl":"https://doi.org/10.1063/5.0103183","url":null,"abstract":"Covid-19 is a disease caused by infection with the 2019 novel coronavirus with the rapid spread has resulted in the cause of a new pandemic in the world. Several things must be considered to suppress the spread of this virus, the most crucial strategy of which is through an effective patient tracking and diagnosis process. One way to diagnose Covid-19 is through radiological tests. In the conventional method, the radiologist performs observations of the chest x-ray manually concerning things that depend on the interests and judgment of the doctor. It is due to the inaccuracy of detecting Covid-19 patients. Therefore, it is necessary to have a system with high accuracy that can help the classification process of radiological test results. So, in this study, an analysis of the convolutional neural network was carried out to help diagnose this disease. By utilizing secondary data from images of Covid-19 thorax x-ray, viral pneumonia, and the normal with an amount at 1,300 for each class, the data is divided into 70% training data and 30% test data. The data set has gone through 3 preprocessing stages: resizing, threshold binary, and the original image without going through the preprocessing stage. The results showed that the accuracy value of the detection model with the CNN method is 91.11% for images without preprocessed, 93.68% for images that have been resized, and 89.91% for images subjected to images the threshold binary function. Applying the image resizing stage to the input image with a smaller resolution can increase the accuracy value and shorten the computation time required for the resulting Covid-19 detection model. At the same time, the application of the threshold binary stage on the input image can reduce the accuracy value and prolong the computational time required for the model. © 2022 American Institute of Physics Inc.. All rights reserved.","PeriodicalId":150490,"journal":{"name":"PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114929306","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

A simple pendulum studied using Hall effect sensor and Arduino 利用霍尔效应传感器和Arduino研究了一个简单的钟摆

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0103214

Infianto Boimau, Kostan D. F. Mataubenu, Dens E. S. I. Asbanu, T. B. Banu

引用次数: 0

Breast cancer malignancy classification based on breast histopathology images using convolutional neural network 基于乳腺组织病理图像的卷积神经网络乳腺癌恶性分类

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0103186

Farah Noviandini, Bunga Mastiti Darmawan, Rizki Wulan Agustin, Endarko

引用次数: 0

Controlling multi servo with single chip FPGA 用单片机FPGA控制多台伺服系统

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0105126

E. D. Arisandi

引用次数: 0

Development of color source system using selective-transmitting material for display devices calibration in Indonesia 印尼显示设备校准用选择性发射材料色源系统的开发

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0108321

Yonan Prihhapso, A. Achmadi, Nelfyenny Nelfyenny, H. Zaini

引用次数: 0

Evaluation of TLD position in eye lens dosimeter Hp(3) using 3D printed head phantom 利用3D打印头模评估眼透镜剂量计Hp(3)中TLD位置

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0103193

A. A. Inayah, Betty Rahayuningsih, Kardianto, F. R. Ramadhan, A. W. Pitaloka, Endarko

引用次数: 0

Dub Chem Vid module for chemistry topic abstract nature 命名为化学视频模块，用于化学主题的抽象性质

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0104297

M. K. A. Ahamad., N. Ibrahim, Johari Surif, W. A. Nursiwan, C. Hanri, Syarifah Osman, N. D. Nawi, C. Talib

引用次数: 0

Determination of region area in two UTM zone using shoelace formula based on the GADM database 基于GADM数据库的鞋带公式确定两个UTM区域面积

PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON STANDARDIZATION AND METROLOGY (ICONSTAM) 2021 Pub Date : 1900-01-01 DOI: 10.1063/5.0103178

Adi Setiawan, E. Sediyono

引用次数: 0