2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)最新文献

Frequency Reconfigurable Miniaturised Slot Antenna 频率可重构小型化槽天线

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944474

K. Parvez, Enamul Khan, S. M. Haque

引用次数: 0

Anthropometric based Real Height Estimation using Multi layer peceptron ANN architecture in surveillance areas 基于人体测量学的多层感知神经网络监测区域真实高度估计

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944862

K. Sriharsha, P. Alphonse

{"title":"Anthropometric based Real Height Estimation using Multi layer peceptron ANN architecture in surveillance areas","authors":"K. Sriharsha, P. Alphonse","doi":"10.1109/icccnt45670.2019.8944862","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944862","url":null,"abstract":"The work is aimed at automatically learning the real height of the person from single uncalibrated image using anthropometric metric pair cumulative ratios. In this context, application of neural networks to estimate the person real height is explored. A comprehensive data set of 264 images comprising 22 males and 11 females with each of 10 instances are used for experimental study. For feature extraction, we have taken 10 anthropometrics namely stature, neck height, acrominal height, head length, mouth to top of head distance, forehead to chin distance, sellion to chin distance, biocular distance and bitragion distance from full body uncalibrated photograph of a person and computed their pairwise ratios. These ratios are used as inputs to train Multi layer perceptron neural networks(MLP). The performance of model is evaluated using Regression correlation coefficient(R)and RMSE. Comparitive indices of the optimized ANN with input values refering the pair wise rations of Antropometrics for prediction of person real height are $mathbf{R}=0.964644$ and $mathbf{RMSE} =2.484$ (males), $mathbf{R}=0.8981 mathbf{RMSE} =8.1375$ (females) and $mathbf{R}=.812$ (males and females together). The results have proven that MLP network is good method to model the accurate real height estimator and could be deployed in distributed surveillance environments for person re-identification in occluded regions with in overlapping and non overlapping camera Field of View(FoV).","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115588144","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

Detection of Hotspots in Layout Patterns using Deep Learning 利用深度学习检测布局模式中的热点

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944600

V. S. Ajna, Neetha George

引用次数: 1

Improving Performance of Distributed File System through Frequent Block Access Pattern-Based Prefetching Algorithm 基于频繁块访问模式的预取算法提高分布式文件系统性能

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944405

Anusha Nalajala, T. Ragunathan, Sri Harsha Tavidisetty Rajendra, Nagamlla Venkata Sai Nikhith, Rathnamma Gopisetty

{"title":"Improving Performance of Distributed File System through Frequent Block Access Pattern-Based Prefetching Algorithm","authors":"Anusha Nalajala, T. Ragunathan, Sri Harsha Tavidisetty Rajendra, Nagamlla Venkata Sai Nikhith, Rathnamma Gopisetty","doi":"10.1109/icccnt45670.2019.8944405","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944405","url":null,"abstract":"Prefetching is an important technique used in distributed file system for improving performance. In this paper, we have proposed a novel frequent access pattern-based prefetching algorithm for distributed file system that is implemented in an environment in which multiple types of storage devices such as hard disk, solid state drives and main memory are used. We have also proposed a new placement algorithm for file blocks which move file blocks from one level of memory to other levels of memory by considering the support of the file block access patterns. The combination of frequent access pattern-based prefetching and judicious placement of file blocks in the multiple memory devices in a static manner will reduce the average read access time of the distributed file system. Our simulation results indicate that the proposed algorithm can improve the performance of the distributed file system by considering average read access time and cache hits. For the performance comparison study purpose, we have considered the support-based prefetching algorithm.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116681597","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

Multi-objective Clustering using Find-Fix-Finish-Exploit-Analyze (F3EA) Algorithm 基于查找-修复-完成-利用-分析(F3EA)算法的多目标聚类

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944627

G. Kumar, C. Kumar, V. H. Rao, A. Joseph, S. Nanda

引用次数: 0

Stable Matching between House Owner and Tenant for Developing Countries 发展中国家业主与租客的稳定匹配

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944625

Warda Ruheen Bristi, Fariha Chowdhury, S. Sharmin

引用次数: 2

An Efficient Implementation of Multichannel Transceiver for Manet Multinet Environment 无线多网环境下多通道收发器的高效实现

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944505

Nitin Tandon, N. Patel

引用次数: 4

Real-Time Traffic Sign Recognition using YOLOv3 based Detector 基于YOLOv3检测器的实时交通标志识别

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944890

Shehan P. Rajendran, Linu Shine, R. Pradeep, S. Vijayaraghavan

{"title":"Real-Time Traffic Sign Recognition using YOLOv3 based Detector","authors":"Shehan P. Rajendran, Linu Shine, R. Pradeep, S. Vijayaraghavan","doi":"10.1109/icccnt45670.2019.8944890","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944890","url":null,"abstract":"Increase in the number of vehicles on road necessitates the use of automated systems for driver assistance. These systems form important components of self-driving vehicles also. Traffic Sign Recognition system is such an automated system which provides the required contextual awareness for the self-driving vehicle. CNN based methods like Faster R-CNN for object detection provide human level accuracy and real time performance and are proven successful in Traffic Sign Recognition systems [1]. Single stage detection systems such as YOLO [2] and SSD [3], despite offering state-of-the-art real-time detection speed, are not preferred for traffic sign detection problem due to its reduced accuracy and small object detection issues. The enhanced YOLO versions, YOLOv2 and YOLOv3 have shown promising results with respect to accuracy and speed required for object detection problems. YOLOv3 uses specialized network architecture inspired from feature pyramid network and has several design changes over previous versions to tackle the low accuracy and small object detection problems. In this paper, an approach for traffic sign recognition system based on YOLOv3 is presented with comparative analysis of its performance with Faster R-CNN based sign detector [1]. YOLOv3 forms the traffic sign detection network and a CNN-based classifier forms the traffic sign class recognizer. The network training and evaluation are done using the German Traffic Sign Detection Benchmark (GTSDB) [5] dataset and the classifier performance is verified using German Traffic Sign Recognition Benchmark (GTSRB) [6] dataset.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282816","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: 35

An organic-inorganic solar cell with graphene as an electron transport layer: an approach to increase the carrier collection efficiency 以石墨烯为电子传输层的有机-无机太阳能电池:一种提高载流子收集效率的方法

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944870

Roushan Kumar, Anjan Kumar

{"title":"An organic-inorganic solar cell with graphene as an electron transport layer: an approach to increase the carrier collection efficiency","authors":"Roushan Kumar, Anjan Kumar","doi":"10.1109/icccnt45670.2019.8944870","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944870","url":null,"abstract":"Methyl-Ammonium lead halide based solar cell has shown a tremendous approach to fulfill the energy crisis on the earth for its high efficiency and low manufacturing cost. While there are some other materials which influence the execution of Perovskite sunlight based cell, these materials are nothing but the electron as well as hole transport materials. In this article the behavior and performances of electron transport materials are mostly focused which generally increase the proficiency of Perovskite solar cell by simultaneously increasing the open circuit voltage and short circuit current. The role of graphene as an electron transport material is mainly discussed and also compared with some other metal oxide electron transport material as well as organic-based electron transport material. As keeping graphene as an electron transport material the predicted results of Perovskite solar cell are as follows: - maximum power conversion efficiency (PCE) = 23.42%, short-circuit-current-densit=3.2SA/m2, open-circuit-voltage=O.86v,fill factor=0.83au. So graphene-based electron transport material can be the entry for the improvement of Perovskite solar cell.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127316165","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

A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection 一种成本敏感的加权随机森林信用卡欺诈检测技术

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944885

D. Devi, S. Biswas, B. Purkayastha

{"title":"A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection","authors":"D. Devi, S. Biswas, B. Purkayastha","doi":"10.1109/icccnt45670.2019.8944885","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944885","url":null,"abstract":"The act of fraudulent credit card transaction has been increased over the past recent years, as the era of digitization hits our day-to-day life, with people are getting more involved in online banking and online transaction system. Machine learning algorithms have played a significant role in detection of credit card frauds. However, the unbalanced nature of the real-life datasets causes the traditional classification algorithms to perform low in detection of credit card fraud. In this work, a cost-sensitive weighted random forest algorithm has been proposed for effective credit card fraud detection. A cost-function has been defined in the training phase of each tree, in bagging which emphasizes to assign more weight to the minority instances during training. The trees are ranked according to their predictive ability of the minority class instances. The proposed work has been compared with two existing random-forest based techniques for two binary credit card datasets. The efficiency of the model has been evaluated in terms G-mean, F-measure and AUC values. The experimental results have established the proficiency of the proposed model, than the existing ones.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788401","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: 21