2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)最新文献_第5页

Performance analysis of bipolar Marx generator topologies with input switch charging and inductive charging method 输入开关充电和感应充电双极马克思发电机拓扑性能分析

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122187

N. Pinjari, S. Bindu

引用次数: 2

An approach for classification of health risks based on air quality levels 基于空气质量水平对健康风险进行分类的方法

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122148

Ranjana W. Gore, D. Deshpande

{"title":"An approach for classification of health risks based on air quality levels","authors":"Ranjana W. Gore, D. Deshpande","doi":"10.1109/ICISIM.2017.8122148","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122148","url":null,"abstract":"There is a need to exploit the available data collected on environment for the development of smart cities in order to improve the air quality which in turn can improve the quality of life for a city. Air pollution is becoming a serious concern to the society as the air pollutants are very hazardous in nature. Pollutants affect the health and causes respiratory and cardiac problems. If air pollutants cross the limits it might be life threatening. Software or tool can be developed whose results can be applied for predicting air pollution levels, predicting air pollution related health concerns, monitoring controlling air pollution and this is challenging one. This paper focuses on analysis of air based on the available data of various air pollutants such as NO2, SO2, CO and O3. The dataset is downloaded from Kaggle website which contains air pollutant's with corresponding AQI values. This paper implements Naive Bayes and Decision tree J48 algorithm for predicting the health concern. The categories based on Air Quality Index(AQI) are good, moderate, (unhealthy for sensitive groups) unhealthy_s, unhealthy, very_unhealthy. The result shown that decision tree algorithm gives 91.9978 % accuracy which is more than that of Naïve Bayes algorithm viz. 86.663%.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126640421","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: 51

Cooperative multi-agent reinforcement learning models (CMRLM) for intelligent traffic control 面向智能交通控制的协同多智能体强化学习模型

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122193

D. Vidhate, P. Kulkarni

{"title":"Cooperative multi-agent reinforcement learning models (CMRLM) for intelligent traffic control","authors":"D. Vidhate, P. Kulkarni","doi":"10.1109/ICISIM.2017.8122193","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122193","url":null,"abstract":"Traffic crisis often happen because of traffic burden by the large number automobiles on the path. Increasing transportation move and decreasing the average waiting time of each vehicle are the aims of cooperative intelligent traffic control system. Each signal wishes to catch better travel move. During the course, signals form a strategy of cooperation in addition to restriction for neighboring signals to exploit their individual benefit. A superior traffic signal scheduling strategy is used to resolve the difficulty. The several parameters may influence the traffic control model. So it is hard to learn the best possible result. Traffic light controllers are not expert to study from previous results. Due to this, they are unable to include the uncertain transformation of traffic flow. Reinforcement learning algorithm based traffic control model used to get fine timing rules by properly defining real-time parameters of the real traffic scenario. The projected real-time traffic control optimization prototype is able to continue with the traffic signal scheduling rules successfully. The model expands traffic value of the vehicle, which consists of delay time, the number of vehicles stopped at a signal, and the newly arriving vehicles to learn and set up the optimal actions. The experimentation outcome illustrates a major enhancement in traffic control, demonstrating the projected model is competent of making possible real-time dynamic traffic control.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127781270","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

An efficient supervised clustering using fuzzy logic 基于模糊逻辑的有效监督聚类

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122165

T. Patil, G. Pole

引用次数: 0

Ideal complexity cryptosystem with high privacy data service for cloud databases 为云数据库提供高保密性数据服务的理想复杂密码系统

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122183

V. Gaikwad, Komal S. Gandle

引用次数: 0

Sentiment analysis using sentence minimization with natural language generation (NLG) 基于句子最小化和自然语言生成(NLG)的情感分析

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122163

M. Likhar, S. Kasar

引用次数: 3

Point and local neighborhood operations fusion for efficient fingerprint enhancement 点邻域与局部邻域融合的高效指纹增强方法

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122159

A. Gaikwad, V. Musande

引用次数: 1

Internet of things for ubiquitous smart home system 物联网无处不在的智能家居系统

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122191

D. Lokhande, S. Mohsin

引用次数: 11

Optic disc detection using geometric properties and GVF snake 利用几何特性和GVF检测视盘

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122164

S. Giraddi, J. Pujari, P. Hiremath

{"title":"Optic disc detection using geometric properties and GVF snake","authors":"S. Giraddi, J. Pujari, P. Hiremath","doi":"10.1109/ICISIM.2017.8122164","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122164","url":null,"abstract":"The optic disc (OD) segmentation in an retinal image is prerequisite for an computerized detection of diabetic retinopathy and also for monitoring changes due to diseases such as glaucoma. The OD segmentation is also used for the detection of other anatomical structures like fovea and vascular tree. Many algorithms based on thresholding, active contour model, GVF snake and clustering have been proposed for the segmentation of OD. In this study, a novel method is proposed for optic disc segmentation. The method makes use of P-Tile thresholding for detecting patch of OD. Connected component analysis is performed for eliminating false positives. This step yields initial patch of optic disc for which centroid correction is performed. GVF snake model is used for finding the contour of OD. The method is robust and effective even in the low contrast images as well as in the presence of other pathological structures like exudates. The experimentation has been done using benchmark retinal image databases, namely, diaretdb0, diaretdb1, DRIVE. The results show accuracy of 98% with diaretdb0, 97% with diaretdb1 and 100% with DRIVE.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132828003","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: 10

Analysis of signature for the prediction of personality traits 个性特征预测的签名分析

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI: 10.1109/ICISIM.2017.8122145

Vaishali R. Lokhande, B. Gawali

引用次数: 17