2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)最新文献_第3页

An Acoustic based Roadside Symbols Detection and Identification using Faster RCNN and SSD 基于快速RCNN和SSD的基于声学的道路标志检测与识别

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117222

Samiksha Choyal, A. Singh

引用次数: 2

Satellite Network Security 卫星网络安全

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117553

S. Lohani, Rinki Joshi

引用次数: 0

Categorization of Dissertation using Machine Learning Techniques 使用机器学习技术的论文分类

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117485

L. Kumar, Manish Jain

引用次数: 0

On Generating Cancelable Biometric Template using Reverse of Boolean XOR 利用布尔异或的反转生成可取消生物特征模板

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117459

Manisha, Nitin Kumar

{"title":"On Generating Cancelable Biometric Template using Reverse of Boolean XOR","authors":"Manisha, Nitin Kumar","doi":"10.1109/ICONC345789.2020.9117459","DOIUrl":"https://doi.org/10.1109/ICONC345789.2020.9117459","url":null,"abstract":"Cancelable Biometric is repetitive distortion embedded in original Biometric image for keeping it secure from unauthorized access. In this paper, we have generated Cancelable Biometric templates with Reverse Boolean XOR technique. Three different methods have been proposed for generation of Cancelable Biometric templates based on Visual Secret Sharing scheme. In each method, one Secret image and n-1 Cover images are used as: (M1) One original Biometric image (Secret) with n- 1 randomly chosen Gray Cover images (M2) One original Secret image with n-1 Cover images, which are Randomly Permuted version of the original Secret image (M3) One Secret image with n-1 Cover images, both Secret image and Cover images are Randomly Permuted version of original Biometric image. Experiment works have performed on publicly available ORL Face database and IIT Delhi Iris database. The performance of the proposed methods is compared in terms of Co-relation Coefficient (Cr), Mean Square Error (MSE), Mean Absolute Error (MAE), Structural Similarity (SSIM), Peak Signal to Noise Ratio (PSNR), Number of Pixel Change Rate (NPCR), and Unified Average Changing Intensity (UACI). It is found that among the three proposed method, M3 generates good quality Cancelable templates and gives best performance in terms of quality. M3 is also better in quantitative terms on ORL dataset while M2 and M3 are comparable on IIT Delhi Iris dataset.","PeriodicalId":155813,"journal":{"name":"2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130737884","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

Short-Term Traffic Flow Prediction: Using LSTM 基于LSTM的短期交通流预测

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117329

Pregya Poonia, V. Jain

引用次数: 16

Multi-Channel FLANN Adaptive Filter for Speckle & Impulse Noise Elimination from Color Doppler Ultrasound Images 多通道FLANN自适应滤波器用于彩色多普勒超声图像的斑点和脉冲噪声消除

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117288

Manish Kumar, S. Jangir, S. Mishra, S. K. Choubey, D. K. Choubey

引用次数: 1

Improvement in the Accuracy of the Moving Object Position by Eliminating Erroneous Sensors with K-Means Clustering Approach 利用k均值聚类方法消除误差传感器提高运动目标定位精度

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117556

Sourav Kaity, P. K. Das Gupta, Biswapati Jana, V. Agrawal

{"title":"Improvement in the Accuracy of the Moving Object Position by Eliminating Erroneous Sensors with K-Means Clustering Approach","authors":"Sourav Kaity, P. K. Das Gupta, Biswapati Jana, V. Agrawal","doi":"10.1109/ICONC345789.2020.9117556","DOIUrl":"https://doi.org/10.1109/ICONC345789.2020.9117556","url":null,"abstract":"Clustering is the process of grouping objects that have similar features. The integration of data from multiple sensors can improve the accuracy of information than using a single sensor. Electro-Optic Sensor can provide the azimuth and elevation of the moving object at any time instance. So it can give the direction of the moving object, so if we have at least two sensors than the actual position of the object can be calculated with the help of the triangulation method. As we increase the number of sensors then the accuracy in the position of the moving objects increases. But meanwhile, if any of the sensors has erroneous measurement then the final position measurement will be erroneous. So we have to eliminate the effect of this erroneous sensor from the final measurement. This paper summarizes how the k-means clustering technique can be applied to identify and eliminate the erroneous sensor from the measurement. K-means clustering algorithm is applied in such a way that the erroneous measurement will be discarded based on not belonging in the largest cluster. And centroid of the largest cluster will give the accurate position of the moving object.","PeriodicalId":155813,"journal":{"name":"2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115662644","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

Text Message and Digital Image Secure for Discrete Shearlet Transform 基于离散Shearlet变换的文本信息和数字图像安全

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117349

Deepak Kushwahah, P. Saurabh, R. Prasad, Pradeep Mewada

引用次数: 1

Comparing the Existing ERP Modules in Selected Private Universities of Punjab- An Empirical Study 旁遮普部分私立大学现有ERP模块比较——实证研究

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117362

Amarjeet Singh, Sandeep Randhawa

{"title":"Comparing the Existing ERP Modules in Selected Private Universities of Punjab- An Empirical Study","authors":"Amarjeet Singh, Sandeep Randhawa","doi":"10.1109/ICONC345789.2020.9117362","DOIUrl":"https://doi.org/10.1109/ICONC345789.2020.9117362","url":null,"abstract":"The main purpose behind this study is to compare the existing ERP framework modules in five selected private universities of Punjab region. In this, researcher want to highlight & differentiate different Modules of ERP whether it is beneficial for the Institution or not. Also explore the usage of various modules by staff & students in selected private Universities. For finding the reviews about the study researcher collected empirical data through a structured questionnaire from 282 respondents of 5 private Universities of Punjabe Convenience sampling method is used for shortlisting the respondent's responses. Through the detailed analysis results shows that various factors reflected in modules & different universities those are essential for the growth of the Institution. The motivation behind this paper is to improve the discussion on the significance of ERP frameworks particularly in educational Institutions setting by concentrating on the qualities for the most part credited to ERP and study empirically shows there is no significance comparison between the universities of ERP Implementation. It concludes that the Academics/Operations Modules most prefers in all Private universities and there is no significance difference among the ERP modules in selected five Private Universities in Punjab. At last, the paper attempts to reveal insight into ERP utilitarian and non-Functional necessities in the advanced education setting. The findings may help to Universities & ERP vendors to modify and update ERP modules as per user requirement & process to ensure successful Implementation.","PeriodicalId":155813,"journal":{"name":"2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114322223","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

Shortest Path Algorithms for Sensor Node Localization for Internet of Things 物联网传感器节点定位的最短路径算法

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) Pub Date : 2020-02-01 DOI: 10.1109/ICONC345789.2020.9117301

Ajay Kumar, V. Jain, P. Bhattacharya

{"title":"Shortest Path Algorithms for Sensor Node Localization for Internet of Things","authors":"Ajay Kumar, V. Jain, P. Bhattacharya","doi":"10.1109/ICONC345789.2020.9117301","DOIUrl":"https://doi.org/10.1109/ICONC345789.2020.9117301","url":null,"abstract":"Internet of Things have gained the interest of researchers and other academic communities due to their applications in various fields. Determining the location of a sensor node within the specified area consisting of number of sensors and smart devices is very crucial, which requires association between the devices and the sensor nodes[1]. Localization is the basic requirement for other services of any smart network like communication, clustering, distribution, routing etc. Multidimensional scaling is one of the approach used effectively for the sensor node localization. In this approach the process to obtain the minimum distance path between the pair of sensors are used which helps in estimating the relative positions of the nodes. This paper includes the explanation and comparison of different types shortest path algorithms. Then, we discuss about the use of multidimensional scaling process to obtain the absolute positions of nodes with reduced error cumulation in a smart network. It is mandatory to have a efficient, economic and scalable sensor node position estimation process for a wireless sensor network and hence for internet of Things. The results obtained experimentally proves the efficiency and effectiveness of the methods discussed for use in Internet of Things with various routing, topology and area.","PeriodicalId":155813,"journal":{"name":"2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114510988","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