2020 International Electronics Symposium (IES)最新文献_第6页

Classification and Counting of Mycobacterium Tuberculosis from Sputum Microscopic Image using Fuzzy Logic 痰液显微图像中结核分枝杆菌的模糊分类与计数

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231925

Nilam Ade Pangestu, R. Sigit, T. Harsono, Manik Retno Wahyunitisari, A. Anwar, Dinda Ayu Yunitasari

{"title":"Classification and Counting of Mycobacterium Tuberculosis from Sputum Microscopic Image using Fuzzy Logic","authors":"Nilam Ade Pangestu, R. Sigit, T. Harsono, Manik Retno Wahyunitisari, A. Anwar, Dinda Ayu Yunitasari","doi":"10.1109/IES50839.2020.9231925","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231925","url":null,"abstract":"The diagnosis of tuberculosis (TB) is done by detecting and counting the number of mycobacterium tuberculosis in a sputum examination done manually using a microscope. It is considered ineffective because it requires a long time and different diagnostic results. To overcome this problem, this paper implements digital image processing. There are 5 processes used on the system. Preprocessing with the RGB to HSV method is used to clarify the color of the image. Segmentation to separate objects from background images using thresholding. Feature extraction to get the value of area, perimeter, and level of roundness of the object. Classification uses fuzzy logic to classify mycobacterium tuberculosis based on features. The next is the process of counting mycobacterium tuberculosis. And the last is the process of classify into IUATLD scale based on the number of mycobacterium tuberculosis. From the results of tests conducted on 15 data, the system show that the level of accuracy, precision, sensitivity and specificity of system in calculate mycobacterium tuberculosis is 89%, 90%, 91.66% and 78.88% respectively. And also level of sensitivity, specificity and accuracy of system in classifying the level of infection is 100%, 80 % and 93% respectively. This system was tested on a microscopic sputum image database of RSUD Dr. Soetomo from a different patient.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127060570","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

Performance Enhancement of Matrix Converter Fed Induction Motor Drives Using Fuzzy Supervisory Controller 模糊监控对矩阵变换器感应电机驱动性能的提高

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231855

E. Purwanto, Mentari Putri Jati, B. Sumantri, Muhammad Rizani Rusli

{"title":"Performance Enhancement of Matrix Converter Fed Induction Motor Drives Using Fuzzy Supervisory Controller","authors":"E. Purwanto, Mentari Putri Jati, B. Sumantri, Muhammad Rizani Rusli","doi":"10.1109/IES50839.2020.9231855","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231855","url":null,"abstract":"High-efficiency power electronics devices are necessary for induction motor drives. Moreover, induction motors have high usage rates. One efficient type is the AC-AC matrix converter with the advantage of single-stage conversion only. However, this type of converter has a big challenge when applied to the dynamic speed application on the induction motor because of its complexity. Generally, the type of speed controller which is widely used is the proportional-integral (PI) controller. Nevertheless, when applied in induction motor applications which are nonlinear systems with dynamic speed applications accompanied by complex converters, PI has some disadvantages. On the other hand, fuzzy logic offers the ability to handle nonlinear plants capable of covering the limitations of PI. The combination of these two controllers is called Fuzzy Supervisory Control (FSC). It is the best solution when applied to enhance dynamic performance. From the dynamic speed response simulation, the FSC produces 60% lower average total dynamic performance score than the PI. The lower the score the dynamic speed performance will be better. The performance of the FSC is also robust when handling the disturbance from the system. Based on this study, it can be analyzed that the FSC was able to enhance the dynamic performance of matrix converters fed induction motor drives.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129587108","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

Deep Convolutional Neural Network for Melanoma Image Classification 黑色素瘤图像分类的深度卷积神经网络

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231676

Rika Rokhana, Wiwiet Herulambang, R. Indraswari

{"title":"Deep Convolutional Neural Network for Melanoma Image Classification","authors":"Rika Rokhana, Wiwiet Herulambang, R. Indraswari","doi":"10.1109/IES50839.2020.9231676","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231676","url":null,"abstract":"Melanoma is the most aggressive of all skin cancers and its incidence has reached epidemic proportions. It is important to distinguish between benign and malignant melanoma as early as possible to increase the chance of recovery. The development of computational technology, especially machine learning and computer vision, made it possible to classify diseases based on their image. Detection of a disease by using image is beneficial because it can be done more easily, cheaply, quickly, and non-invasively than by using biopsy. The use of conventional machine learning and computer vision method makes their classification performance highly affected by the segmentation result of the skin lesion and the features selected for the classification process. The recent development of deep learning algorithm, such as CNN (Convolutional Neural Network), makes it possible to classify images without going through the process of image segmentation and manual features determination and give high performance with enough training data. Therefore, in this research we propose a deep convolutional neural network (CNN) to classify melanoma images into benign and malignant class. The proposed network architecture consists of several sets of convolutional layers and max-pooling layers, followed by a drop out layer and a fully-connected layer. From the experimental results on 352 test images, the proposed network gives the accuracy, sensitivity, and specificity of 84.76%, 91.97%, and 78.71%. The good performance of the built model hopefully can be developed for real application that can assist the expert to make better diagnosis and treatment.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128131700","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: 19

Assessment of Electrocoagulation Control System Strategy in Textile Wastewater Treatment Plant 纺织废水处理厂电絮凝控制系统策略评价

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231838

Bobby Efendy, E. Ekawati, Nazuwatussya'diyah, E. M. Budi

{"title":"Assessment of Electrocoagulation Control System Strategy in Textile Wastewater Treatment Plant","authors":"Bobby Efendy, E. Ekawati, Nazuwatussya'diyah, E. M. Budi","doi":"10.1109/IES50839.2020.9231838","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231838","url":null,"abstract":"Electrocoagulation is a method of wastewater treatment that applies an electrical current into the liquid to coagulate the suspended particles. This study assessed two control strategies for electrocoagulation systems in wastewater treatment in terms of dynamic performances and energy consumptions. The first control strategy used the electrical current as a manipulated variable, and the second used the waste liquid flowrate instead. For either strategy, the controlled output was the turbidity of the product liquid. The assessment was conducted in an experimental setting, in a laboratory-scale, continuous pilot plant. The experiment began with the identification of the dynamic characteristics of the electrocoagulation process due to the combined changes in the electrical current between 1.8-5.2 Ampere and the changes in waste flowrate between 10.37-14.67 ml/s. First-Order-Process-with-Time-Delay equations approximated these processes. The statistical Analysis of Variance was used to select the best process condition to compare two control strategies. The associated Proportional Integral controllers were designed and applied for either strategy. The experiment showed that manipulating electrical current yield 7.48% longer settling time, but with significantly lower energy consumption throughout the electrocoagulation process. The result highlighted the benefit of using electrical current as of the manipulated variable in the electrocoagulation process in the pilot plant.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125708838","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: 1

IES 2020 Committees

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/ies50839.2020.9231948

引用次数: 0

Spatial Fuzzy Risk Mapping for Tuberculosis in Surabaya, Indonesia 印度尼西亚泗水市结核病空间模糊风险图

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231875

A. Fariza, Mu’arifin, Amailina Puspitasari

{"title":"Spatial Fuzzy Risk Mapping for Tuberculosis in Surabaya, Indonesia","authors":"A. Fariza, Mu’arifin, Amailina Puspitasari","doi":"10.1109/IES50839.2020.9231875","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231875","url":null,"abstract":"Surabaya, one of the major cities in Indonesia, is an endemic area for spreading tuberculosis. Surabaya City Health Office in 2018 has found 7,007 cases of tuberculosis which is the highest case in East Java province. This data shows that TB is still a major health problem. TB risk mapping is needed to guide the Public Health Service in TB control planning, for example, the promotion of clean and healthy living behaviors, immunizations, and home visit programs and optimization of TB screening activities. This paper proposes the spatial risk mapping of tuberculosis based on several criteria that become tuberculosis risk factors using a fuzzy method called spatial fuzzy risk mapping. These criteria consist of the number of people with tuberculosis (BTA Positive), population density, unhealthy houses, and health facilities. Fuzzy multi-criteria decision making determines the weight value of each criterion, followed by the ranking process to select the best alternative from the sub-district areas. After fuzzy membership calculation, the sub-district areas area directly classified into 3 index level that is low, medium, and high according to the rule association. The determination of the TB disease risk index covers 31 sub-districts in Surabaya as densely populated urban areas. The risk map is visualized into spatial GIS mapping. In the last 3 years (2013-2015), there were 4 sub-districts are decreasing (12.9%), 6 sub-districts are increasing (19.4%) and the remaining 68.7% did not change. There are 13.33% sub-districts in 2015 that are defined as low risk by the fuzzy risk, but it must be high risk by the Public Health Service. The fuzzy risk index results appropriate with the real condition and it is suitable with the Public Health Service report.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133096800","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: 4

Room Mapping using Ultrasonic Range Sensor on the ATRACBOT (Autonomous Trash Can Robot): A Simulation Approach 基于ATRACBOT(自主垃圾桶机器人)超声波距离传感器的房间测绘:仿真方法

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231734

Faris Atoil Haq, B. S. B. Dewantara, Bayu Sandi Marta

引用次数: 2

Data Analytics Implementation for Surabaya City Emergency Center 泗水市应急中心的数据分析实施

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231869

Syahrul Arifiiddin Kholid, Ferry Astika Saputra, A. Barakbah

{"title":"Data Analytics Implementation for Surabaya City Emergency Center","authors":"Syahrul Arifiiddin Kholid, Ferry Astika Saputra, A. Barakbah","doi":"10.1109/IES50839.2020.9231869","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231869","url":null,"abstract":"Quick response service and emergency reports handling is one of the main aspects in the data-driven government system, oriented to people service in the city of Surabaya through an emergency center called as Command Center 112. Our idea is to implement descriptive and predictive analytics to be able to provide a detailed picture of the intensity of the number of reports of each category and sub-district in the city of Surabaya as well as make predictions to find out future public report projections by analyzing spatial and temporal data. For descriptive analysis, we apply the unsupervised learning method with agglomerative hierarchical clustering combined with K-Means clustering for centroid initialization. After the data is preprocessed, such as imputation and data structure improvement, the data is then transformed into a report number format for each month and category, then segmented with the K-Means clustering hierarchical model, this model will get 3 final labels. These labels will be projected (grounding) to the level of intensity of community reports in the month and category, ranging from the low, medium and high categories. As for the prediction model, in this study we use combination of timeseries prediction methods, such as Exponential Smoothing, Moving Average and Auto Regressive Integrated Moving Average (ARIMA) by modifying the parameters according to the characteristics of movement, trends and seasonal data. We applied the model that we proposed for research purposes with a dataset of reports from the people of Surabaya to the Command Center 112 in 2019 with a total of 169,937 data.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114771042","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

Particle Swarm Optimization Implementation as MPPT on Hybrid Power System 粒子群优化在混合动力系统中实现

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231774

Muhammad Alifudin Fahmi, I. Sudiharto, I. Ferdiansyah

{"title":"Particle Swarm Optimization Implementation as MPPT on Hybrid Power System","authors":"Muhammad Alifudin Fahmi, I. Sudiharto, I. Ferdiansyah","doi":"10.1109/IES50839.2020.9231774","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231774","url":null,"abstract":"The increasing need for electrical energy at the rate of an era, to meet the increase in the use of many alternative energy such as solar energy. The availability solar energy will never run out and solar energy can also be used as an alternative energy that can convert to electrical energy. Solar energy has a fluctuating nature where there is always a change in the amount of energy over time. By maximizing the utilization of solar panel energy can be achieved by the existence of methods such as MPPT (Maximum Power Point Tracking). Particle Swarm Optimization (PSO) is an algorithm that can be used as an MPPT, where PSO will learn every irradiation change that occurs and get maximum power which will then be used as a source for the battery charger. In this paper, using a hybrid power system that uses a source from PV and the grid 220Vac PLN. The sources obtained from the PLN grid will be used as a backup source. Using the Particle Swarm Optimization method as MPPT is able to get power of 198.85 Watt with efficiencies above 95% in the hybrid power system for battery chargers, and the presence of the PLN Grid as a backup source, when the PV system does not meet the load power requirements.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747417","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: 1

Analysis of the Effect of Cooling Water Condenser to Power Plant Cycle Using Cycle-Tempo Software 利用Cycle- tempo软件分析冷却水凝汽器对电厂循环的影响

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI: 10.1109/IES50839.2020.9231722

Ischia Kurniawati, J. Pratilastiarso, D. Satrio

{"title":"Analysis of the Effect of Cooling Water Condenser to Power Plant Cycle Using Cycle-Tempo Software","authors":"Ischia Kurniawati, J. Pratilastiarso, D. Satrio","doi":"10.1109/IES50839.2020.9231722","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231722","url":null,"abstract":"The condenser is one component that has an important role in the operation of the coal-fired power plant. Changes in the conditions of cooling water have an impact on the thermal performance of the condenser in the condensation process. This study aims to determine changes in the performance of the condenser under changing cooling water conditions which also results in cycle efficiency. In this research, a power plant cycle model which is given a constant load of 350 MW is performed on the Cycle-Tempo. In this study, temperature and flow rate are two parameters that will vary in value. The results of this study indicate that the increase in cooling water temperature causes the heat transfer rate and the pressure inside the condenser to get higher. Conversely, the greater flow rate causes the heat transfer rate and condenser pressure to decrease. The highest heat transfer rate and pressure values of 330723.47 kW and 0.0117 MPa were obtained in the variation of cooling water at the highest temperature of 308 K and the lowest flow rate of 13888.9 kg/s. It affects on decreasing of the cycle efficiency. The solution to maintain efficiency is by adding more cooling water flow rate, about 15% - 21% for each 1 K temperature increasing step.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126147128","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: 11