2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)最新文献

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Analysis and Experimental Evaluation of Routing Protocol for static and mobile Challenging environment in WSNs 无线传感器网络静态和移动挑战环境下路由协议分析与实验评估
V. C. Diniesh, G. Murugesan, M. J. Auxilius Jude, E. M. Jayanth
{"title":"Analysis and Experimental Evaluation of Routing Protocol for static and mobile Challenging environment in WSNs","authors":"V. C. Diniesh, G. Murugesan, M. J. Auxilius Jude, E. M. Jayanth","doi":"10.1109/I2C2SW45816.2018.8997154","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997154","url":null,"abstract":"Targeting a growing number of promising application domains in wireless sensor network nodes can be either static or mobile, towards on the recent applications. Dealing with mobile sensor can made some interest in design of routing protocol, especially network layer. To address difficulties and challenges require mobility aware algorithms need to be predict both static and mobility, quality of service, localize needed to be established. This paper surveys current state of art of routing protocols with focus on currently proposed routing protocol confer type of node, control technique, and parameters. Interestingly this paper also associate hardware testbed results provides way towards approaching future directions for researchers in the field of wireless mobile sensor network","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078718","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
ANN based prediction of Bond and Impact Strength of Light Weight Self Consolidating Concrete with coconut shell 基于人工神经网络的椰壳自重混凝土粘结强度与冲击强度预测
K. Poongodi, P. Murthi, M. Shivaraj, Arun Kumar Beerala, Sangeetha Gaikadi, A. Srinivas, R. Gobinath
{"title":"ANN based prediction of Bond and Impact Strength of Light Weight Self Consolidating Concrete with coconut shell","authors":"K. Poongodi, P. Murthi, M. Shivaraj, Arun Kumar Beerala, Sangeetha Gaikadi, A. Srinivas, R. Gobinath","doi":"10.1109/I2C2SW45816.2018.8997421","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997421","url":null,"abstract":"In this experimental investigation, lightweight self-consolidating concrete (LWSCC) was developed with coconut shell as coarse aggregate. The effect of coconut shell aggregate (CSA) on bond strength and impact strength of Rice Husk Ash (RHA) based binary blended and RHA + Silica fume (SF) based ternary blended Self consolidating concrete (SCC) were determined. The bond strength was determined through pull-out test and the impact strength was calculated using falling weight test. The concrete mix was developed with the total powder content of 450 kg/m3. The coarse aggregate content was replaced by CSA in the gradation of 0%, 25%, 50%, 75% and 100% in the designated SCC. The investigation revealed that the bond and impact strength of CSA based LWSCC were comparable to current code practice and other lightweight concretes. The experimental data obtained was used to develop an ANN model for predicting the strength characteristics of fresh or hardened concrete. The high regression values obtained during training the neural network models reveals high accuracy and were predicting the strength characteristics very similar to the experimental results.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134083212","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
Machine Learning Approach improves the Quality of the MRI Images in Tumor Detection and Diagnosis: A PSO based Cluster Analysis 机器学习方法提高MRI图像在肿瘤检测和诊断中的质量:基于粒子群的聚类分析
V. Sivakumar, N. Janakiraman, S. Naganandhini
{"title":"Machine Learning Approach improves the Quality of the MRI Images in Tumor Detection and Diagnosis: A PSO based Cluster Analysis","authors":"V. Sivakumar, N. Janakiraman, S. Naganandhini","doi":"10.1109/I2C2SW45816.2018.8997145","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997145","url":null,"abstract":"Segmentation is the most important and basic technique of image processing which is used for the extraction of suspicious region from the given image. Brain tumor is diagnosed at advanced stages with help of the MRI images. This research aims to quantify the brain tumor loss in MRI human Head Scans by using a computational method. This method proposes Particle Swarm Optimization (PSO) for finding the centroid value to segment the brain tissue. The segmented brain MRI helps the radiologist in detecting brain abnormalities and tumor.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126987702","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
Steganography Based Data Hiding for Security Applications 基于隐写术的安全应用数据隐藏
G. Ramya, P. Janarthanan, D. Mohanapriya
{"title":"Steganography Based Data Hiding for Security Applications","authors":"G. Ramya, P. Janarthanan, D. Mohanapriya","doi":"10.1109/I2C2SW45816.2018.8997153","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997153","url":null,"abstract":"Steganography is an art of sending hidden data or secret messages over a public channel so that a third party cannot detect the presence of the secret message. It is used widely in banking, military applications, E-commerce and so on because in it transmissions of information are more secure. In the current paper, the data are hidden in two stages. First, the data are hidden within an image and the image is further hidden in an audio file. For data hiding in image and image hiding in audio, Least Significant Bit (LSB) algorithm is used. In order to overcome security threats and to equip the data with high security, binary values of the data are hidden in different locations on the last three bits. The audio file selected may be a .WAV or .AIFF files. If the binary value of image is hidden in the last bit, the execution time is more. To reduce it, the binary value of the image is hidden in the last two bits of an audio file, so that the processing speed gets increased while execution time gets reduced. For security applications, the execution time should be less. Thus, the paper meets the security requirement and it can be used for military applications.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122199250","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
Improving TCP's Throughput and Fairness Stability in Vehicular Network 提高车用网络中TCP的吞吐量和公平性稳定性
M. J. Auxilius Jude, S. Kuppuswami, V. C. Diniesh
{"title":"Improving TCP's Throughput and Fairness Stability in Vehicular Network","authors":"M. J. Auxilius Jude, S. Kuppuswami, V. C. Diniesh","doi":"10.1109/I2C2SW45816.2018.8997526","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997526","url":null,"abstract":"Throughput and fairness performance of transmission control protocol (TCP) worsens critically under vehicular environment due to its weakly bounded congestion threshold parameter, rate reduction approach and congestion recovery algorithm. In this paper, a new congestion control algorithm for vehicular networks, called VC-TCP (Vehicular customized -TCP) is proposed to overcome the limitations of the existing independent congestion control approaches. The VC-TCP implements a newer congestion threshold parameter, which regulates the spurious rate reduction due to an abrupt increase in RTT spike value. During the congestion control process, VC-TCP uses a new recovery algorithm and bandwidth utilization based rate reduction, which substantially improves the flow fairness of TCP traffic flows with different bandwidth utilization levels. The throughput, flow fairness, and packet latency performances of VC-TCP is evaluated against the standard Vegas congestion control approach under simulated vehicular scenarios. The simulation outcomes verify the performance improvement of the proposed VC-TCP approach against the standard TCP variants in the different facets of the vehicular environment.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127794518","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
Sink Originated Unique Algorithm for Clustering and Routing to forward Aggregated Data in Wireless Sensor Networks 无线传感器网络中汇聚数据转发聚类和路由的Sink起源唯一算法
K. Lalitha, R. Thangarajan, C. Poongodi, D. Anand
{"title":"Sink Originated Unique Algorithm for Clustering and Routing to forward Aggregated Data in Wireless Sensor Networks","authors":"K. Lalitha, R. Thangarajan, C. Poongodi, D. Anand","doi":"10.1109/I2C2SW45816.2018.8997141","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997141","url":null,"abstract":"In WSN, efficient communication without compromising the energy of sensor node is the major delinquent issue. In large scale deployment, data redundancy and communication delay will occur due to the crowd of sensor nodes. A Sink Originated Unique Clustering and Routing Algorithm (UCRA) is proposed which works based on each sensor node’s Node Handling capacity and processing load of a sensor node is reduced with the forward tree establishment mechanism. The proposed technique was compared with two well-known techniques, Data Routing for In-Network Aggregation (DRINA) and Efficient Data Collection Aware of Spatio-Temporal Correlation (EAST). UCRA conserves 38% more energy and reduces 24% delay when compared with other two techniques.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129655664","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
Application of Rough Set Based Reduction for Network data set 基于粗糙集的约简在网络数据集中的应用
V. R. Saraswathy, M. Prabhu Ram, A. Vennila, S. G. Dravid
{"title":"Application of Rough Set Based Reduction for Network data set","authors":"V. R. Saraswathy, M. Prabhu Ram, A. Vennila, S. G. Dravid","doi":"10.1109/I2C2SW45816.2018.8997516","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997516","url":null,"abstract":"The modern technologies in all the fields constantly generate a large amount of data. The data if it is represented in an understandable form will influence the real world in all respects. The tremendous increase in the data size makes the analysis of the data more tedious. Hence the retrieval of useful information using systems with human approach is essential in today’s scenario. Hence feature reduction using Quick reduct , an application of Rough set theory is used to reduce feature set size and identify the useful features based on semi-supervised learning. Particle swarm optimization is used for Quick reduct feature reduction process. The algorithm is applied for network data set.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121323551","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
Performance Comparison of Adaptive Filters for Speckle Noise Reduction in SAR Images SAR图像中自适应滤波降噪性能比较
G. Mageshkumar, S. Suthagar, K. Tamilselvan
{"title":"Performance Comparison of Adaptive Filters for Speckle Noise Reduction in SAR Images","authors":"G. Mageshkumar, S. Suthagar, K. Tamilselvan","doi":"10.1109/I2C2SW45816.2018.8997166","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997166","url":null,"abstract":"Noise is the most common problem in imaging systems that affects the quality of the image. Noise is unwanted data that has the capability to reduce the contrast and deteriorate the object’s size and shape in the image. It also blurs the edges or dilutes the fine details in the image. Reducing the noise in images has become very essential in image processing. This paper presents the comparison of Frost and Kaun filter for noise reduction in images. Speckle is a characteristic attribute of SAR(Synthetic aperture radar) and Ultrasonic images. Speckle noise is modelled as spatially correlated multiplicative noise. The speckle noise filters are designed for enhancement of visualization of speckle images. SAR and Ultrasound are the main applications areas for speckle noise filters.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115486975","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
Analysis on Behavioural Changes in the Intellectual Disability of the Individuals 智障人士的行为改变分析
P. Janarthanan, V. Ashok, R. P. Karthik, K. Keerthana
{"title":"Analysis on Behavioural Changes in the Intellectual Disability of the Individuals","authors":"P. Janarthanan, V. Ashok, R. P. Karthik, K. Keerthana","doi":"10.1109/I2C2SW45816.2018.8997188","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997188","url":null,"abstract":"The Intellectual disability (ID) is the major problem of many individuals in this century. The Intellectual disability will be determined as per the individuals Intelligent Quotient (IQ). The subjects with ID may not able to lead their life own. They are in need to have the dependence of the surrogate till the end of their life. In this project, the recommending of some activities will help to identify the likes and dislikes of the subject and also it helps to improve the activity of brain. By using MATrix LABoratory (MATLAB), with the recommending activities the EEG signals of the subject are taken non-invasively with the help of the headband and monitored. By the Hardware setup of ATMEGA 8 controller, the activities which the peak values of the likes obtained will be displayed in the monitor. So, the repeating of this process will helps the subjects to identify their basic needs and also helps them to have an independent life.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762323","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
Offline Navigation:GPS based assisting system in Sathuragiri forests using Machine Learning 离线导航:使用机器学习的基于GPS的Sathuragiri森林辅助系统
N. Ram, K. Sandhiya, V. Vinod, V. Mekala
{"title":"Offline Navigation:GPS based assisting system in Sathuragiri forests using Machine Learning","authors":"N. Ram, K. Sandhiya, V. Vinod, V. Mekala","doi":"10.1109/I2C2SW45816.2018.8997523","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997523","url":null,"abstract":"Location aware services are the need of the hour in places where communication facilities are limited. The lack of locationbased services in dense forested areas with poor network connectivity has resulted in severe losses both human life and monetary in many a places around the world. The case of floods in Sathuragiri forest in Virudhunagar district of Tamil Nadu in May 2015 is a classic case of such deficiencies. This paper presents an efficient and robust offline based navigation system suitable for the Sathuragiri forest which can be customized for varying geographical regions. The dataset for Sathuragiri forest was downloaded from Google Maps and applied K-means Clustering to identify the possible centroids. The calculations were carried out for two cases namely plane surfaces and sloppy terrains wherein the altitude was also taken into consideration. A standalone GPS module with other accessories was designed to indicate the current position. Using Haversine Formula, the distance to all the nearby centroids are calculated and the system displays the path with minimum weight for the traversal. Various methods of clustering have been performed and desired result was achieved from K-means clustering","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117321653","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
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