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2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)最新文献

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Region-based Object Detection and Classification using Faster R-CNN 基于更快R-CNN的区域目标检测与分类
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-10-04 DOI: 10.1109/CIACT.2018.8480413
S. Abbas, D. S. Singh
{"title":"Region-based Object Detection and Classification using Faster R-CNN","authors":"S. Abbas, D. S. Singh","doi":"10.1109/CIACT.2018.8480413","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480413","url":null,"abstract":"With the advent of Deep Learning,the machine learning systems are able to recognize and classify objects of interest in an image.Various advancement has been done in the field of object recognition and classification.Our research work focusses on improving the R-CNN, Fast R-CNN,YOLO architecture.The work focussed on using Region Proposals Network(RPN) to extract region of interest in an image.RPN outputs an image based on the objectness score.The output objects are subjected to Roll Polling for classification.Our research work focusses on training Faster R-CNN using custom based data set of images. Our trained network efficiently detects objects from an image consisting of multiple objects.Our network requires minimum GPU capability of 3.0 or higher.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123432983","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: 34
Identification of Regions and Probable Health Risks Due to Air Pollution Using K-Mean Clustering Techniques 基于k均值聚类技术的空气污染区域和可能健康风险识别
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480232
Bonny Paulose, S. Sabitha, Ritu Punhani, Ishaan Sahani
{"title":"Identification of Regions and Probable Health Risks Due to Air Pollution Using K-Mean Clustering Techniques","authors":"Bonny Paulose, S. Sabitha, Ritu Punhani, Ishaan Sahani","doi":"10.1109/CIACT.2018.8480232","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480232","url":null,"abstract":"Air pollution is a major health issue affecting both developed and developing countires. Due to increase in air pollution infants, children and adults are at high risk and most are affected by chronic respiratory diseases. Air pollution is caused due to introduction of particulate matters, biological molecules and other harmful materials in the environment.In this research work the main focus is on analysis of air quality of certain areas of Delhi and all the pollutants that pollute the air. Data mining technique used is K-means clustering.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121086644","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
Development of a Decision-Based Neural Network for a Day-Ahead Prediction of Solar PV Plant Power Output 基于决策的太阳能光伏发电出力日前预测神经网络的开发
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480396
R. K. Mandal, P. Kale
{"title":"Development of a Decision-Based Neural Network for a Day-Ahead Prediction of Solar PV Plant Power Output","authors":"R. K. Mandal, P. Kale","doi":"10.1109/CIACT.2018.8480396","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480396","url":null,"abstract":"Day-ahead photovoltaic power prediction is vital for policy making and providing necessary backup capacities. Previous researchers include the implementation of time series, auto-regression and Soft computing techniques like Artificial Neural Networks and Fuzzy Logic. Artificial Neural Networks provides a better flt to complex, non-linear and error-prone data. The paper shows a comparative study of a Radial Basis Neural Network Schema (exact fit), a ‘k-means’ Radial Neural Network, and a Feed Forward Neural Network with Levenberg-Marquardt error backpropagation designed for the prediction of power output at an hourly resolution. The ability of the Neural Network to be trained to adapt to a previous set of data and then interpolate or extrapolate to the new data set has been exploited. The proposed model uses five meteorological variables and uses recorded data collected from the SN Mohanty PV Power Plant. Training of neural network is done on a monthly basis so that normalization constants of variables can be lower and better mapping can be produced. An improveddecision-based schematic using Neural Networks is proposedwhich combines the advantages of both Radial Basis Function (exact fit) and FFNN.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121974038","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
Image Processing Based Method For Identification Of Fish Freshness Using Skin Tissue 基于图像处理的鱼类皮肤组织新鲜度识别方法
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480265
Namita Sengar, V. Gupta, M. Dutta, C. Travieso
{"title":"Image Processing Based Method For Identification Of Fish Freshness Using Skin Tissue","authors":"Namita Sengar, V. Gupta, M. Dutta, C. Travieso","doi":"10.1109/CIACT.2018.8480265","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480265","url":null,"abstract":"The quality of the fish is mainly altered by different cooling methods, exporting, handling etc. In this paper a nondestructive framework is proposed for identification of fish freshness using image processing techniques. In this paper skin tissue is selected as focal tissue for basic analysis and identification of freshness of fish from fish images. Statistical features are extracted in the HSV color space which gives degradation pattern for fish freshness which is used to design the framework for identification of fish freshness. The experiment result indicates monotonic degradation pattern. Experiments were carried on fish images and results are encouraging. The maximum classification accuracy of contributed methodology is 96.66%.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131284251","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
Real Time Monitoring & Analyzation Of Hazardous Parameters In Underground Coal Mines Using Intelligent Helmet System 基于智能头盔系统的煤矿井下危险参数实时监测与分析
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480177
Akshunya Mishra, Saksham Malhotra, Ruchira, P. Choudekar, H. Singh
{"title":"Real Time Monitoring & Analyzation Of Hazardous Parameters In Underground Coal Mines Using Intelligent Helmet System","authors":"Akshunya Mishra, Saksham Malhotra, Ruchira, P. Choudekar, H. Singh","doi":"10.1109/CIACT.2018.8480177","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480177","url":null,"abstract":"Coal mining has always been a necessary evil. We need the coal for various operations, especially electrical power generation. However mining the coal has proven to be very dangerous and has caused many accidental deaths over the years. Keeping this in mind we have designed an intelligent system which can be used on helmets of these underground coal miners and can monitor/analyze a few major hazardous parameters found in these mines in real time. This includes humidity, temperature and gas contents such as methane and sulfur dioxide. These parameters, if above a certain level, can cause choking, suffocation, flooding, gas poisoning, roof collapse or explosions. Our system can detect these parameters, analyze them in real time and alert the ground control and the worker about the situation using a buzzer. Compact sensors and radio frequency modules are used to ensure practicality.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133645617","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
An Automated Image Processing Method for Segmentation and Quantification of Rust Disease in Maize Leaves 玉米叶片锈病分割与定量的自动图像处理方法
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480122
Anjali Yadav, M. Dutta
{"title":"An Automated Image Processing Method for Segmentation and Quantification of Rust Disease in Maize Leaves","authors":"Anjali Yadav, M. Dutta","doi":"10.1109/CIACT.2018.8480122","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480122","url":null,"abstract":"$A$ In the agro-ecological domain, maize is one of the most dominantcrops of the world. The disease of the maize plantation not only affect the nutritional balance but also the economics related to the crop. In this paper, an automated image processing method is proposed to identify the rust affected maize leaves and differentiate them from the healthy maize leaves. Segmentation and quantification of the rusted portion from the images of the maize leaf is done. The rust affected portion is accurately quantified of the maize leaf using morphological operations and area based thresholding to make the algorithm computationally efficient. Quantification of the segmented rusted spots is done to measure the degree of damage done by the crop disease. The results obtained from the proposed methodology are encouraging and can be used in agricultural industry for some real-time detection of diseases affecting the productivity of crops.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989390","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: 6
Segmentation Tool for Extracting Gray and White Matter Regions in Brain MRI Images for Cognitive Diseases 认知疾病脑MRI图像中灰质和白质区域的分割工具
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480210
Ayush Goyal, Manish K. Arya, R. Agrawal, A. Jothi, Ashwani K. Dubey, Sunayana Tirumalasetty, G. Hossain, R. Challoo
{"title":"Segmentation Tool for Extracting Gray and White Matter Regions in Brain MRI Images for Cognitive Diseases","authors":"Ayush Goyal, Manish K. Arya, R. Agrawal, A. Jothi, Ashwani K. Dubey, Sunayana Tirumalasetty, G. Hossain, R. Challoo","doi":"10.1109/CIACT.2018.8480210","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480210","url":null,"abstract":"This research work suggests a method for prognosis of neurologic damage affecting advanced cognition activities of specimen brain suffering from neural impairment, degeneration, or deterioration with computerized extraction of cerebral white and gray neural tissue areas in cerebral scans. Reduction of the capacity or amount of these areas is proportional to alteration in the neo-pallium in specimen brain suffering from neural impairment, degeneration, or deterioration, or various neurologic conditions. Particularly, the slice width of the neo-pallium across the edges of the cerebral white and grey neural tissue areas can be used in assessing the neural damage in a specimen brain for evaluating the neurologic impairment. The research herewith suggests a procedural algorithmic program for the extraction of the cerebral white and grey neural tissue areas from cerebral scans of specimen brains implemented as a computer program for supporting neurological experts in evaluating physiological reduction in neural and cerebral matter from cerebral imaging sessions. This program can also be easily implemented on the systems within the brain imaging department or division of imaging centers in hospitals. This program could provide prognosis of neurologic disease and the stage of neural damage by running the completely computerized analysis of cerebral scans with the procedural step-wise methods and techniques described in this paper, and visualizing the marked cerebral white and grey neural tissue areas within the cerebral scans.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128614887","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
Channel selection in multi-channel surface electromyogram based hand activity classifier 基于面肌电图的多通道手部活动分类器的通道选择
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480172
Rinki Gupta, Shantanu Saxena, Abdul Sazid
{"title":"Channel selection in multi-channel surface electromyogram based hand activity classifier","authors":"Rinki Gupta, Shantanu Saxena, Abdul Sazid","doi":"10.1109/CIACT.2018.8480172","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480172","url":null,"abstract":"Surface electromyogram (sEMG) is being extensively studied for development of limb prosthesis and for designing human-machine interfaces. To achieve acceptable accuracy in classification of hand activities using signals acquired from muti-channel sEMG system, the utility of various features and algorithms for reducing the size of the feature set have been reported extensively in literature. In this paper, an approach to select the channels that may be better suited for classification is proposed. The selection of channels is based on the feature selection algorithm namely minimal redundancy maximal relevance method. The proposed algorithm is applied on actual sEMG signals for two set of hand activities to assess the utility of the channels in activity classification. The results are validated by determining the extent of degradation in classification accuracies provided by the support vector machine classifier, when certain sEMG channels are excluded from classification.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693163","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
GA Based Design of Current Conveyor PLD Controller for the Speed Control of BLDC Motor 基于遗传算法的电流输送机无刷直流电机速度控制控制器设计
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480149
Swati Kumari, Pallav Prince, V. K. Verma, B. Appasani, R. Ranjan
{"title":"GA Based Design of Current Conveyor PLD Controller for the Speed Control of BLDC Motor","authors":"Swati Kumari, Pallav Prince, V. K. Verma, B. Appasani, R. Ranjan","doi":"10.1109/CIACT.2018.8480149","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480149","url":null,"abstract":"This article presents the Genetic Algorithm (GA) based design of a PID controller for the speed control of a BLDC motor. The controller is realized using a second generation current conveyor (CCII) circuit. The uniqueness of the proposed approach is that the controller is realized using a single CCII circuit. To validate the design, simulations are performed using the AD844 IC and the results in the time domain are presented.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115236960","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: 6
Awareness of Intrusion Detection and Prevention for Virtualized Server Environment in Institutions in Tanzania 坦桑尼亚机构虚拟化服务器环境的入侵检测与防御意识
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2018-02-01 DOI: 10.1109/CIACT.2018.8480143
S. Ally, N. Jiwaji
{"title":"Awareness of Intrusion Detection and Prevention for Virtualized Server Environment in Institutions in Tanzania","authors":"S. Ally, N. Jiwaji","doi":"10.1109/CIACT.2018.8480143","DOIUrl":"https://doi.org/10.1109/CIACT.2018.8480143","url":null,"abstract":"Hypervisor security is crucial for adopters to get maximum benefit from virtualized server computing resources. Several Intrusion Detection and Prevention Systems (IDPS) applicable with different functionalities exist. While most adopters focus on general security tools for physical networks, the attention given to IDPS specifically designed for securing hypervisors is very low. This study exposes the level of awareness of IDPS tools among key public and private adopters of server virtualization technologies in Tanzania. Only few adopters have slight awareness of the tools while majority are not aware at all, thus with respondents (N)=38, the Median was either 1.5 or 2.0 in 5-levels of scaling awareness for 8 IDS and 5 IPS tools. This awareness status implies a serious knowledge gap that is insufficient to ensure maximum protection of systems and data in virtualized infrastructures, thus adopters operate at high security risks. The need to build security skills of adopters is vital to attain maximum security of their assets.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"140 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123144013","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
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