2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献_第3页

Web Caching Strategy Optimization Based on Ant Colony Optimization and Genetic Algorithm 基于蚁群优化和遗传算法的Web缓存策略优化

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502260

Mulki Indana Zulfa, Rudy Hartanto, A. E. Permanasari, Waleed Ali

{"title":"Web Caching Strategy Optimization Based on Ant Colony Optimization and Genetic Algorithm","authors":"Mulki Indana Zulfa, Rudy Hartanto, A. E. Permanasari, Waleed Ali","doi":"10.1109/ISITIA52817.2021.9502260","DOIUrl":"https://doi.org/10.1109/ISITIA52817.2021.9502260","url":null,"abstract":"Web caching is a strategy that can be used to speed up website access on the client-side. This strategy is implemented by storing as many popular web objects as possible on the cache server. All web objects stored on a cache server are called cached data. Requests for cached web data on the cache server are much faster than requests directly to the origin server. Not all web objects can fit on the cache server due to their limited capacity. Therefore, optimizing cached data in a web caching strategy will determine which web objects can enter the cache server to have maximum profit. This paper simulates a web caching strategy optimization with a knapsack problem approach using the Ant Colony optimization (ACO), Genetic Algorithm (GA), and a combination of the two. Knapsack profit is seen from the number of web objects that can be entered into the cache server but with the minimum objective function value. The simulation results show that the combination of ACO and GA is faster to produce an optimal solution and is not easily trapped by the local optimum.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132526499","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

Optimization PI-ACO for Photovoltaic System Battery and Supercapacitor on Electric Vehicle 电动汽车光伏系统电池和超级电容器的PI-ACO优化

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502221

I. Robandi, Dwi Ajiatmo, Muhlasin

{"title":"Optimization PI-ACO for Photovoltaic System Battery and Supercapacitor on Electric Vehicle","authors":"I. Robandi, Dwi Ajiatmo, Muhlasin","doi":"10.1109/ISITIA52817.2021.9502221","DOIUrl":"https://doi.org/10.1109/ISITIA52817.2021.9502221","url":null,"abstract":"In this study, energy management control for Photovoltaic (PV), battery, and a supercapacitor (SC) uses PI with Ant Colony optimization (ACO) tuning, in reducing the output voltage error rate. Supercapacitors to inject high power frequency fluctuations smooth out the battery system power. The optimization of the proposed PI-ACO control was examined and its performance investigated through MATLAB/Simulink simulation with a comparison of PI and PI-FA controllers (Firefly Algorithm). The reference voltage is 42V, the PI-ACO control overshoot is 42. 11V, the setting time is 0. 252s, and the final value is 42. 05V and the PI-Firefly Algorithm (FA) control is 42.17 V, the setting time is 0. 509s, the final value is 42. 18V with PI control, the overshoot is 42. 22V, the setting time value is 0. 256s, the fmal value is 42. 04V when the reference voltage is 52V with PI-ACO control the overshoot value is 52. 34V, the settlement time value is 0. 229s, the final value is 52. 12V with PI-FA control overshoot value 52.50 V, settling time value 0. 502s, and final value 52. 44V with PI control overshoot 52. 70V, setting time 0. 287s, final value 52. 14V. From the performance of the PI-ACO control system, it is shown that the overshoot is smaller, the response time is faster. Future research optimization using hybrid fuzzy-PI.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711423","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

Identification of Parking Lot Status Using Circle Blob Detection 基于圆斑点检测的停车场状态识别

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502191

Mohammad Nasrul Mubin, Hendra Kusuma, M. Rivai

{"title":"Identification of Parking Lot Status Using Circle Blob Detection","authors":"Mohammad Nasrul Mubin, Hendra Kusuma, M. Rivai","doi":"10.1109/ISITIA52817.2021.9502191","DOIUrl":"https://doi.org/10.1109/ISITIA52817.2021.9502191","url":null,"abstract":"Information on the availability of parking spaces, especially in large parking areas, is needed by parking users. This information will help users in terms of saving search time, effort, and fuel (money). Currently, parking space detection methods are divided into image detection and non-image detection methods. Non-image detection is not completely good, even some of its implementations require demolition of roads or buildings. In addition, the maintenance required for non-image detection can be more expensive, so the image detection method was chosen in this study. The system is designed by first converting the image into the HSV color space. The conversion image is then given the CLAHE process on channel V of HSV. The next step is to transform the image dimensions with perspective transformation in the area which is the parking lot slots. The transformed image covers the parking slots that will be detected. Then, from the transformation image, the status of each parking lot slot is detected by utilizing the auxiliary circle in each slot. The results of this process are then shown as the availability information for parking space users. The results of the identification trial of this system showed a great success rate of 99.28%.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123033395","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

The Implementation of DBLC Design Model for Orbital Database System 轨道数据库系统DBLC设计模型的实现

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502237

Y. Andrian, L. M. Musafar, S. K. Fatimah, R. Priyatikanto

引用次数: 2

Implementation of Fuzzy Logic on Fire Fighting Robots 模糊逻辑在消防机器人中的实现

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502242

Budi Kustamtomo, A. Triwiyatno, M. Riyadi

引用次数: 2

Energy Output Simulation of the Floating PV System of Karangkates Hydropower Dam in East Java, Indonesia 印度尼西亚东爪哇Karangkates水电站浮动光伏发电系统的能量输出模拟

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502228

E. Tarigan

引用次数: 1

Study of the Utilization of Local Renewable Energy Potential in Sebotok, West Nusa Tenggara 西努沙登加拉岛塞博托克当地可再生能源潜力利用研究

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502212

M. A. Rahmanta, F. Aditama, P. Wibowo

{"title":"Study of the Utilization of Local Renewable Energy Potential in Sebotok, West Nusa Tenggara","authors":"M. A. Rahmanta, F. Aditama, P. Wibowo","doi":"10.1109/ISITIA52817.2021.9502212","DOIUrl":"https://doi.org/10.1109/ISITIA52817.2021.9502212","url":null,"abstract":"To reduce the use of fossil energy sources and the utilization of renewable energy potential, a hybrid power system (HPS) generation system can be used in isolated areas. HPS utilizes renewable energy as the main source combined with a diesel engine generator as a backup energy source. The renewable energy used can come from solar energy, wind energy, and others. Sebotok Village, located in Labuhan Badas sub-district, Sumbawa regency, West Nusa Tenggara province, is an isolated area that uses 4 diesel generator units as a source of electricity generation. The purpose of this research is to identify potential renewable energy resources (wind and solar) and to develop a design and analysis of the economic feasibility of HPS in the region. The design & feasibility analysis of the Hybrid Power Plant was carried out using the Hybrid Optimization Model of Electric Renewables (HOMER Energy) simulation. This system is a combination of Wind/PV//Diesel, battery, DC/DC converter, and DC/AC inverter. The simulation results show the configuration of 160 kW PV, 160 kW PV Inverter, 100 kW diesel generator, 24 battery units, and 10 kW Converter with a dispatch strategy of load following. The configuration has the lowest Cost of Energy (COE) value of 0.139 ${$}/mathrm{kWh}$ and the lowest Total Net Present Cost (NPC) of ${$} 1.06$ Million. Meanwhile, the sensitivity simulation shows that the COE value is most influenced by the price of diesel fuel, the cost of PV, and solar radiation, respectively.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127307507","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

Pedestrian crossing decision prediction based on behavioral feature using deep learning 基于深度学习行为特征的人行横道决策预测

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502243

H. A. Sidharta, Eko Mulyanto Yuniamo, B. Kindhi, Mauridhi Hery Pumomo

{"title":"Pedestrian crossing decision prediction based on behavioral feature using deep learning","authors":"H. A. Sidharta, Eko Mulyanto Yuniamo, B. Kindhi, Mauridhi Hery Pumomo","doi":"10.1109/ISITIA52817.2021.9502243","DOIUrl":"https://doi.org/10.1109/ISITIA52817.2021.9502243","url":null,"abstract":"A pedestrian is classified as a Vulnerable Road User (VRU) due during walking or crossing in the road pedestrian is not protected or shielded. This caused pedestrians to have the most potential risk than other road users, such as motorcycle drivers or car drivers. To support Autonomous vehicles (AV) toward a higher level of independence, AV needs to recognize pedestrian and behavior related to it. Our proposed method utilizes a deep learning approach to predict pedestrian behavior using eight pedestrian input features with three frame values: five frames, ten frames, and 15 frames. Each number of frames is consists of four models, with one hidden layer, two hidden layers, three hidden layers, and four hidden layers. To improve the deep learning model, we conduct hyperparameter tuning, including hidden layer parameters and a number of frame numbers. Our model can predict pedestrians to cross or not cross using eight input features, with the best model using a number of frames values ten combined with three hidden layers. The resulting model prediction accuracy is 94.77%, and the model prediction loss is 0.18%.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116385369","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

[Front matter] (前页)

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/isitia52817.2021.9502219

引用次数: 0

Technology Trend of Traffic Density Prediction – A Systematic Literature Review 交通密度预测的技术趋势——系统文献综述

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2021-07-21 DOI: 10.1109/ISITIA52817.2021.9502266

N. Maulida, K. Mutijarsa

{"title":"Technology Trend of Traffic Density Prediction – A Systematic Literature Review","authors":"N. Maulida, K. Mutijarsa","doi":"10.1109/ISITIA52817.2021.9502266","DOIUrl":"https://doi.org/10.1109/ISITIA52817.2021.9502266","url":null,"abstract":"Road traffic becomes critical when it comes to the time consuming amount when moved from one to another location. The travel duration is affected directly to citizen activity during the day. Government tends to try solving the problem by developing new road for migrating the road capacity. Traffic management is the new needs to overcome congestion due to overcrowding and overcapacity. The current management system still utilizes information obtained from various entities on the road. Observation of conditions and situations on the road becomes very subjective. However, there are potential technologies that can be utilized to help the existing problems. With these problems and opportunities, there is in providing traffic density information that is more objective utilizing the latest technology. The development of various types of information system adaptation and the use of technology is able to provide information on a regular basis. Machine learning as a form of technology development that is being optimized, can solve the information needs typical of traffic control. Based on the needs, the technology application related to traffic management get higher overtime. This study aims to examine the trends of the technology application on traffic classification for traffic management using the Systematic Literature Review (SLR) method. The purpose of this study is to provide the background of relevant activities which are considered by researcher while developing traffic classification system. In addition, this research provides important insight into the need to make suitable and correlated methodologies which support the management of evidence in an appropriate manner.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133136987","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