2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献_第3页

16-port array antenna feeding network with programmable phase shifter capability 具有可编程移相器能力的16端口阵列天线馈电网络

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7220015

J. Litouw, A. Munir

引用次数: 3

Gaussian Mixture Models optimization for counting the numbers of vehicle by adjusting the Region of Interest under heavy traffic condition 高斯混合模型在繁忙交通条件下通过调整兴趣区域来优化车辆数量

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219986

Basri, Indrabayu, A. Achmad

{"title":"Gaussian Mixture Models optimization for counting the numbers of vehicle by adjusting the Region of Interest under heavy traffic condition","authors":"Basri, Indrabayu, A. Achmad","doi":"10.1109/ISITIA.2015.7219986","DOIUrl":"https://doi.org/10.1109/ISITIA.2015.7219986","url":null,"abstract":"Mixture Model research has been widely implemented for numerous purpose in motion tracking applications. This method usually applied for tracking and counting the vehicles in Intelligent Transport System (ITS). In this context, Mixture Model chosen is Gaussian Mixture Model (GMM) method, due to its powerful features. Unlike many motion tracking-based methods, GMM achieves satisfactory performance from its ability to handle background subtractions. However, its implementation in detecting vehicle still have unsatisfactory result in accuration and identifying object, mainly under heavy traffic condition. The problem turn to poor accuration of object detection. Therefore, in this paper, we propose optimization of GMM performance by adjusting the Region of Interest (ROI). The propose technique to completing the report by compare the result before and after experiment in separate condition. The result show that this approach leads to improvement in tracking and counting average of accuration of motorcycle by 6.97% and car by 39.04% in several condition. Our approach to modified the method has been experimentally validated showing better segmentation performance, and this is an unbiased approach for assessing the practical usefulness of object detection methods for vehicle under heavy traffic condition on the highway.","PeriodicalId":124449,"journal":{"name":"2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851303","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: 15

Traffic light signal parameters optimization using particle swarm optimization 基于粒子群算法的交通灯信号参数优化

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219945

I. S. Wijaya, K. Uchimura, G. Koutaki

{"title":"Traffic light signal parameters optimization using particle swarm optimization","authors":"I. S. Wijaya, K. Uchimura, G. Koutaki","doi":"10.1109/ISITIA.2015.7219945","DOIUrl":"https://doi.org/10.1109/ISITIA.2015.7219945","url":null,"abstract":"This paper proposes a traffic light signal parameters optimization using particle swarm optimization (PSO) for real road network called as Ooe Toroku road network. The main aim of this method is to find out the best traffic light signal parameters, which can solve the traffic congestion on the real road network. The traffic light signal parameters that are optimized are offset, cycles, and splits time of each node of the considered road networks. The considered real road network consists of four junctions/nodes having different time signaling models. In this research, the PSO is attached in Aimsun 6.1 simulator via application interface (API) that is provided by Aimsun 6.1 simulator. The PSO algorithm creates n-particles of traffic light signal parameters and sends them to the Aimsun 6.1 simulator to perform the simulation. The output of simulation will be used to perform the particles evaluation and updating. The experimental results show that the proposed method provides better performance than base-line method (multi-element Genetics Algorithms (ME-GA) based optimization method) which can increase the real and base-line percentage of vehicle flow by about 15.76% and 4.13% of that of real and MEGA, respectively. In addition, the PSO is faster to achieve convergence than base-line method for considered network.","PeriodicalId":124449,"journal":{"name":"2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129045327","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: 9

Optimal placement and tuning power system stabilizer using Participation Factor and Imperialist Competitive Algorithm in 150 kV South of Sulawesi system 苏拉威西南部150千伏电力系统稳定器的参与系数与帝国主义竞争算法优化配置与调谐

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219970

M. Djalal, A. Imran, I. Robandi

引用次数: 28

A comparison of classification methods on diagnosis of thyroid diseases 甲状腺疾病诊断分类方法的比较

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219959

I. Md Dendi Maysanjaya, H. A. Nugroho, N. A. Setiawan

{"title":"A comparison of classification methods on diagnosis of thyroid diseases","authors":"I. Md Dendi Maysanjaya, H. A. Nugroho, N. A. Setiawan","doi":"10.1109/ISITIA.2015.7219959","DOIUrl":"https://doi.org/10.1109/ISITIA.2015.7219959","url":null,"abstract":"Thyroid gland is one of the endocrine glands in the human body which produces thyroid hormone. This gland actively produces two kinds of hormone, namely thyroxine (T4) and triiodothyronine (T3). These hormones aim to produce protein, govern body metabolism, as well as to control body temperature circulation. Either excess or lack of these hormones will disturb those activities. The condition of excessive hormones is called hyperthyroid while the condition of lacking hormones is called hypothyroid. The major factor that influences the volume of the produced T3 and T4 hormones is iodine, because it is the main building-block substance of those hormones. The imbalance condition of this substance prevents thyroid to work properly. To identify the type of thyroid (normal, hypothyroid, hyperthyroid), WEKA (Waikato Environment for Knowledge Analysis) machine learning software is utilized. The thyroid dataset is taken from UCI (University of California - Irvine) machine learning repository as many as 215 instances. The test result shows that among six different methods available in WEKA, MLP (Multilayer Perceptron) method gives result with the highest accuracy, up to 96.74%, while BPA (Back Propagation Algorithm) methods produces result with the lowest accuracy, of 69.77%.","PeriodicalId":124449,"journal":{"name":"2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134609584","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: 26

A chaos-based fragile watermarking method in spatial domain for image authentication 一种用于图像认证的空域混沌脆弱水印方法

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219983

R. Munir

引用次数: 15

Multi objective optimal power flow to minimize losses and carbon emission using Wolf Algorithm 利用狼算法实现多目标最优潮流，使损耗和碳排放最小化

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219971

Yun Tonce Kusuma Priyanto, Lukman Hendarwin

引用次数: 12

Early result from adaptive combination of LRU, LFU and FIFO to improve cache server performance in telecommunication network LRU、LFU和FIFO自适应组合提高电信网络缓存服务器性能的早期成果

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7220019

Tanwir, G. Hendrantoro, A. Affandi

引用次数: 7

Separation of gamelan instruments signal using ICA based on Projection Pursuit 基于投影寻踪的ICA加美兰乐器信号分离

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219993

A. Wintarti, Y. Suprapto

引用次数: 2

Design and implementation of a submerged capacitive sensor in PID controller to regulate the concentration of non-denatured ethyl alcohol 在PID控制器中设计并实现了一种浸入式电容式传感器来调节非变性乙醇的浓度

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI: 10.1109/ISITIA.2015.7219951

M. Rivai, Masaji Suwito, Peter Chondro, S. Ruan

{"title":"Design and implementation of a submerged capacitive sensor in PID controller to regulate the concentration of non-denatured ethyl alcohol","authors":"M. Rivai, Masaji Suwito, Peter Chondro, S. Ruan","doi":"10.1109/ISITIA.2015.7219951","DOIUrl":"https://doi.org/10.1109/ISITIA.2015.7219951","url":null,"abstract":"Ethyl alcohol (ethanol) is one of the most common organic compounds used in medical and industrial applications. Because of its human amiability, ethanol has become a perfect solvent for organic matter with varying concentration levels for different purposes. Nevertheless, ethanol has a unique character that makes it evaporates at a level of temperature, which is called flash point. Storing ethanol above its flash point would reduce its concentration as well as its functionality. In this research, a device has been developed to control ethanol concentration in water. The concentration of ethanol is measured based on the signal of a square wave oscillator connected to a cylindrical aluminum capacitive sensor. Thus, the output frequency is imputed to a microcontroller programmed as a PID controller to produce the control signals that are used to operate two peristaltic pumps connected to two reservoirs containing non-denatured ethanol and distilled water, respectively. Magnetic stirrer is added to improve the dilution process. Overall, the designed sensor is able to identify various levels of ethanol concentration from 0.0-0.9 m3/m3. Furthermore, the implemented controller is capable to maintain the volumetric concentration of ethanol with set point ranging from 0.0-0.5 m3/m3 within 90% of success rate.","PeriodicalId":124449,"journal":{"name":"2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125371586","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