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2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献

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Scabies Classification in Animal Using Uniform Local Binary Patterns 统一局部二值模式在动物疥疮分类中的应用
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271720
A. Salsabila, F. Sthevanie, Kurniawan Nur Ramadhani
{"title":"Scabies Classification in Animal Using Uniform Local Binary Patterns","authors":"A. Salsabila, F. Sthevanie, Kurniawan Nur Ramadhani","doi":"10.1109/ICITEE49829.2020.9271720","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271720","url":null,"abstract":"Scabies is a disease caused by the Sarcoptes Scabiei mite and can affect humans and animals. In animals, this disease is recognized by crusted skin on the ears, nose, and feet, but if the disease is not treated immediately, the mites will spread throughout the animal's body and can even cause death.Image processing has been done a lot to classify diseases in humans and plants, but there are still a few that involve scabies in animals, so in this research the authors build a system that can classify animal skin images into two classes, namely animals with scabies disease, and animals with other skin diseases.The Uniform Local Binary Pattern feature extraction method has been proven to optimize the feature extraction results and minimize the processing time for the feature extraction process, so the system is built by processing the dataset using the Uniform Local Binary Pattern method and the Random Forest classification method so that the system performance reaches 52%","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126686999","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
Propagation Path loss model based on Environmental Variables 基于环境变量的传播路径损耗模型
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271731
S. Bolli
{"title":"Propagation Path loss model based on Environmental Variables","authors":"S. Bolli","doi":"10.1109/ICITEE49829.2020.9271731","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271731","url":null,"abstract":"We have developed a path-loss model that includes environmental variables. We take a sizeable 2-dimensional satellite image of 4 cities, namely Hyderabad, Mumbai, Chennai, New Delhi, and then divide the large 2d image into many smaller images. Then we perform image segmentation using the Maximum likelihood algorithm on each smaller image. Segmentation separates the image into separate areas comprising of pixels with identical qualities. After that, we develop three different 11 input path loss models based on Fuzzy logic, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS), respectively. Input Parameters to all these three path loss models were %building, %road, %plain, %water, %trees, transmitter terrain height, receiver terrain height, the distance between receiver and transmitter, average clutter height, transmitter frequency, and transmitter height. The output of all the above three models is a path loss. We acquired receiver power levels data in a driving test through different routes in all four cities. We compared measured path-loss values for each route with the predicted values obtained with ANN(with image segmentation), ANFIS(with image segmentation), FCM(with image segmentation), ANFIS(without image segmentation), and empirical path loss models. We measured each path-loss model’s accuracy with RMSE (root mean square error) obtained between the predicted & measured path loss values. This paper found that ANFIS(with image segmentation) path-loss model has an RMSE of 2.16 dB, the lowest RMSE among all the considered path-loss models.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846914","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
Optimal Determination of Tower Height on a Continuous Transmission Line 连续输电线路塔高的最优确定
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271738
C. K. Wachjoe, Hermagasantos Zein, F. Yulistiani, S. Saodah, Yanti Suprianti
{"title":"Optimal Determination of Tower Height on a Continuous Transmission Line","authors":"C. K. Wachjoe, Hermagasantos Zein, F. Yulistiani, S. Saodah, Yanti Suprianti","doi":"10.1109/ICITEE49829.2020.9271738","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271738","url":null,"abstract":"The weight and span distance of the transmission line between the two towers of an overhead conductor induces sag. For the same level of elevation, the two towers stand symmetrically. Nonetheless, in many cases, these two towers have differences in the elevation afflicting the sag to curve to the lower tower height. This paper utilizes a parabolic model to obtain a conductor curve along with the span distance between the two towers. Besides, this method complies with the clearance distance standards of all objects (buildings, trees, or other infrastructures) under the overhead conductor. The outcome of this model is to generate the span distance and heights of the two towers. Summing up, this paper applied the model to a case study of 94 installed towers in South Kalimantan, Indonesia. It has accurately calculated the tower heights to optimize sag.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753472","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
Study of Synchronous Condenser Impact in Jawa-Madura-Bali System to Provide Ancillary Services 爪哇-马杜罗-巴厘系统同步凝汽器冲击辅助服务研究
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271782
A. S. Surya, Musa Partahi Marbun, Marwah Marwah, K. Mangunkusumo, B. Harsono, Handrea Bernando Tambunan
{"title":"Study of Synchronous Condenser Impact in Jawa-Madura-Bali System to Provide Ancillary Services","authors":"A. S. Surya, Musa Partahi Marbun, Marwah Marwah, K. Mangunkusumo, B. Harsono, Handrea Bernando Tambunan","doi":"10.1109/ICITEE49829.2020.9271782","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271782","url":null,"abstract":"In recent years, the power grid trend is changing. The integration of renewable energy sources such as wind and photovoltaic into the existing grid is rapidly increasing. These global trends are expected to continue into the foreseeable future and could have a detrimental effect on grid performance. Problems in the grid will arise such as, reducing system inertia and reducing reactive power capacity. In many cases, these grid issues can be addressed with ancillary services. Presently in Indonesia, the necessity of reactive power and inertia were provide from conventional power plants by the state-owned company, PLN. The simulation in this paper will show the requirement of reactive power and system inertia from the synchronous condenser as ancillary services. The simulation is conducted on the Jawa-Madura-Bali System model, which is the most extensive system in the Indonesian power grid. The total capacity of photovoltaic and wind in the year 2025 is 1,430 MW, and the capacity of synchronous condensers as ancillary services is 2,152 MW in scattered locations. Synchronous condensers shift to a better voltage, and system stiffness will increase from 680 MW to 794 MW.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129822698","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
Web Design Scraping: Enabling Factors, Opportunities and Research Directions 网页设计抓取:促成因素、机会和研究方向
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271770
Abdallah Namoun, Abdullah M. Alshanqiti, Ezzat Chamudi, Mohammed Ayman Rahmon
{"title":"Web Design Scraping: Enabling Factors, Opportunities and Research Directions","authors":"Abdallah Namoun, Abdullah M. Alshanqiti, Ezzat Chamudi, Mohammed Ayman Rahmon","doi":"10.1109/ICITEE49829.2020.9271770","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271770","url":null,"abstract":"The number of online users accessing websites and consuming online services via their desktop and mobile browsers is on a constant rise. This paper coins and discusses the concept of web design scraping, which primarily promotes the idea of extracting, understanding, and modeling website components and characteristics and thereby inferring the meaning of the web design. Moreover, web design scraping emphasizes the role of state-of-the-art computing technologies and approaches, especially those powered by machine learning, in consolidating the understanding and intelligent construction and customization of website interfaces. Moreover, this paper discusses several enabling factors for web design scraping and recommends four research directions. The most notable research trends focus on the prediction of user satisfaction towards personalized web designs and the smart revamping of websites automatically by applying machine learning techniques that learn from the interaction history, preferences, and habits of online users.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127913679","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: 5
Online Sequential Extreme Learning Machine based Instinct Plasticity for Classification 基于本能可塑性的在线顺序极限学习机分类
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271686
Zongying Liu, Kitsuchart Pasupa
{"title":"Online Sequential Extreme Learning Machine based Instinct Plasticity for Classification","authors":"Zongying Liu, Kitsuchart Pasupa","doi":"10.1109/ICITEE49829.2020.9271686","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271686","url":null,"abstract":"Random determination of input weights leads to unstable performance in Online Sequential Extreme Learning Machines (OS-ELM), so obtaining reliable input weights was expected to improve the model performance. We designed a new model—the OS-ELM based Instinct Plasticity with a new weight selection scheme (NOS-ELM-IP) to enhance the forecast stability and accuracy for classification. In this model, the input weights were selected by a new weight selection method, which replaced the original random selection part in OS-ELM. Moreover, the Instinct Plasticity idea was used to find the gain and bias, used in the sequential training part of OS-ELM. It maximized the information of hidden neurons and enlarged the memory. The experimental results show that the proposed new weight selection method and Instinct Plasticity rule enhanced the overall performance in classification tasks for binary and multi-class data sets.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124685127","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
Comparing Particle Filter, Adaptive Extended Kalman Filter and Disturbance Observer for Induction Motor Speed Estimation 比较粒子滤波、自适应扩展卡尔曼滤波和扰动观测器在感应电机转速估计中的应用
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271744
K. Indriawati, Febry Pandu Wijaya, Choirul Mufit
{"title":"Comparing Particle Filter, Adaptive Extended Kalman Filter and Disturbance Observer for Induction Motor Speed Estimation","authors":"K. Indriawati, Febry Pandu Wijaya, Choirul Mufit","doi":"10.1109/ICITEE49829.2020.9271744","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271744","url":null,"abstract":"Electric motors in industry are required to operate at a certain speed with varying loads. In general, speed and position information can be measured using an encoder or tachogenerator on a motor shaft, but it will affect the cost and complexity factors. To reduce the cost factor and increase the reliability and robustness of the system, this information can be estimated, known as speed sensorless. This paper discusses three model-based estimation algorithms: Disturbance Observer (DO), Particle Filter (PF), and Adaptive Extended Kalman Filter (AEKF). The main topic in this paper is to evaluate these algorithms in estimating induction motor speed. Based on the performance testing results of the three algorithms, namely using root mean square error (RMSE) value, it was found that the DO algorithm is better than compared to the AEKF and PF algorithms.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126841757","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
User Interface Design of P2P Lending Mobile Application Using Design Thinking 基于设计思维的P2P借贷移动应用用户界面设计
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271780
Muhammad Rozzaq Yusaliano, Alvi Syahrina, T. F. Kusumasari
{"title":"User Interface Design of P2P Lending Mobile Application Using Design Thinking","authors":"Muhammad Rozzaq Yusaliano, Alvi Syahrina, T. F. Kusumasari","doi":"10.1109/ICITEE49829.2020.9271780","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271780","url":null,"abstract":"The maturity of mobile technology made market transaction activities to be shifted online. This cause the development of a good user interface to become more important due to the power of a first impression in gaining a potential customer. This paper presents a detailed, step-by-step user interface design for a peer-to-peer lending mobile application called Minjemin. This is done using a well-known iterative process called Design Thinking, which is implemented to ensure a good design compared to not using any methodology. The paper will explore each step (microcycle) of Design Thinking while also describing how to implement the related design methodologies for each step. The proposed designs were tested by more than thirty testers to ensure removal of bias and resulting in a design that is satisfactory according to the Maze Prototype Usability Score and System Usability Scale scores.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126250363","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
Design of Landslide Early Warning System Using Fuzzy Method Based on Android 基于Android的滑坡模糊预警系统设计
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271676
Putri Fatimah, Budhi Irawan, C. Setianingsih
{"title":"Design of Landslide Early Warning System Using Fuzzy Method Based on Android","authors":"Putri Fatimah, Budhi Irawan, C. Setianingsih","doi":"10.1109/ICITEE49829.2020.9271676","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271676","url":null,"abstract":"In Indonesia, landslides are one of the many natural disasters that often occur during the rainy season. Especially in mountainous areas, cliffs, hills, which cause many losses. Therefore, it is necessary to create a landslide Early Warning System. Slope, vibration, and excessive water content in the soil are the leading causes of landslides. To measure these parameters, an Internet of Things (IoT) based system is used that is connected to various sensors. In this study, the fuzzy value obtained from the measurement of the MPU6050 Accelerometer and Gyroscope sensor, also Soil Moisture sensor sent to the Antares server using LoRa. In research, Fuzzy algorithm is used to analyze the sensor detection results in the form of three final decision rules based on the knowledge of a landslide expert, namely Safe, Alert, and Watch out, which can be seen on an android device with 90% accuracy value and 10% error.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127987916","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
Comparison of Hybrid Intrusion Detection System 混合入侵检测系统的比较
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2020-10-06 DOI: 10.1109/ICITEE49829.2020.9271727
Aditya Nur Cahyo, Anny Kartika Sari, M. Riasetiawan
{"title":"Comparison of Hybrid Intrusion Detection System","authors":"Aditya Nur Cahyo, Anny Kartika Sari, M. Riasetiawan","doi":"10.1109/ICITEE49829.2020.9271727","DOIUrl":"https://doi.org/10.1109/ICITEE49829.2020.9271727","url":null,"abstract":"IDS have an important role in dispelling and preventing an intrusion or abuse of access rights. In its development, research on IDS is growing. IDS consist of several detection models, one of which is hybrid-based, which in IDS detection combines the signature and anomaly models. This method is considered more effective because it combines the advantages of the speed of signature detection and the ability to analyze new attacks from the anomaly model. However, from existing models and frameworks hybrid-based IDS still needs to be further developed to be implemented in the industry. From a number of existing IDS-based studies, this paper intends to conduct a review with the aim that researchers who wish to develop hybrid-based IDS know which methods and architecture are best to be implemented. This paper reviews hybrid IDS research in the last five years.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133769551","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
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