2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)最新文献

筛选
英文 中文
Mathematical Modeling and Control of QNET Rotary Inverted Pendulum in MATLAB and Real Time Implementation in Lab View Using ELVIS QNET旋转倒立摆在MATLAB中的数学建模与控制及在实验室视图下的实时实现
R. Sritharan, M. Sivapalanirajan, M. Willjuiceiruthayarajan
{"title":"Mathematical Modeling and Control of QNET Rotary Inverted Pendulum in MATLAB and Real Time Implementation in Lab View Using ELVIS","authors":"R. Sritharan, M. Sivapalanirajan, M. Willjuiceiruthayarajan","doi":"10.1109/ICICCT.2018.8473139","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473139","url":null,"abstract":"The objective of this project is the design and comparison of the various controllers for QNET (Quanser NI ELVIS Trainer) Rotary Inverted Pendulum (RIP) Board 2.0 for NI ELVIS. The RIP system is a multivariable mode with highly nonlinear behavior. It is used in the design of highly complex applications like automatic aircraft landing system, and humanoid robot stabilization. In this work, the RIP model is mathematically derived using motion equation of Euler-Lagrange. For controlling the system, PP (pole placement) and LQR(Linear Quadratic Regulator) controllers are designed and implemented in MATLAB for the balancing of the pendulum arm in up-right position. A comparative study was made for analyzing the performance of the controllers in terms of settling time and overshoot range, etc. Based on designed parameters using MATLAB simulation, the control ofreal time Rotary inverted pendulum arm is implemented in LabVIEW platform interfaced with NI ELVIS. From the experimental results of MATLAB simulation and LabVIEWinterfacing, the LQR controller was better than the PP controller in controlling the pendulum arm in upright position.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130781949","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
A Comparative Study of Supervised Machine Learning Algorithms for Stock Market Trend Prediction 有监督机器学习算法在股市趋势预测中的比较研究
I. Kumar, Kiran Dogra, Chetna Utreja, Premlata Yadav
{"title":"A Comparative Study of Supervised Machine Learning Algorithms for Stock Market Trend Prediction","authors":"I. Kumar, Kiran Dogra, Chetna Utreja, Premlata Yadav","doi":"10.1109/ICICCT.2018.8473214","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473214","url":null,"abstract":"Impact of many factors on the stock prices makes the stock prediction a difficult and highly complicated task. In this paper, machine learning techniques have been applied for the stock price prediction in order to overcome such difficulties. In the implemented work, five models have been developed and their performances are compared in predicting the stock market trends. These models are based on five supervised learning techniques i.e., Support Vector Machine (SVM), Random Forest, K-Nearest Neighbor (KNN), Naive Bayes, and Softmax. The experimental results show that Random Forest algorithm performs the best for large datasets and Naive Bayesian Classifier is the best for small datasets. The results also reveal that reduction in the number of technical indicators reduces the accuracies of each algorithm.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122888095","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: 65
Moving object detection and tracking using deep learning neural network and correlation filter 利用深度学习神经网络和相关滤波器对运动目标进行检测和跟踪
H. S. G. Supreeth, C. Patil
{"title":"Moving object detection and tracking using deep learning neural network and correlation filter","authors":"H. S. G. Supreeth, C. Patil","doi":"10.1109/ICICCT.2018.8473354","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473354","url":null,"abstract":"Object tracking is a key step in computer vision for video surveillance, public safety, and traffic analysis. Object detection and tracking are the two correlated components of Video Surveillance. Object detection in videos is the first step before performing complicated tasks such as tracking. Deep learning neural networks is a powerful programming paradigm which learns multiple levels of representation and abstraction of data such as images, sound, and text. In this paper Gaussian mixture model (GMM) based object detection, deep learning neural network-based recognition and tracking of objects using correlation filter is proposed, which can handle false detections, with improving the efficiency. The algorithm is designed to detect only cars and humans' while the performance is analyzed using True Positive Rate (TPR) and False Alarm Rate (FAR) as probabilistic metrics. The Experimental results of the proposed method are found to be better with an accuracy of 88%.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132480107","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: 7
Sub-Feature Selection for Novel Classification 新分类的子特征选择
H. K. Bhuyan, C. V. M. Reddy
{"title":"Sub-Feature Selection for Novel Classification","authors":"H. K. Bhuyan, C. V. M. Reddy","doi":"10.1109/ICICCT.2018.8473206","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473206","url":null,"abstract":"Feature selection has emphasized in data mining research field on several data sets such as hospital data, text data, finance data etc. Most of the feature selection methods have been applied on traditional features for classification. The existing class can't solve the real world problem every day. Thus, it needs to generate the new class from existing class to solve several classification problems. With the help of tiny features value (especially sub-feature values), the new class has generated to find appropriate solution with reason from existing database using several statistical and optimization method like simple probability, Lagrangian function and feature selection method. This paper proposed the sub-feature selection framework to identify the distinguish class from traditional class with effectiveness. The experimental results of this work reveal the distinctness of novel class and identified the sub-feature data towards new class.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132170823","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
Securing Fog and Cloud Communication Using Attribute Based Access Control and Re-encryption 使用基于属性的访问控制和重新加密保护雾和云通信
Kunal Vohra, M. Dave
{"title":"Securing Fog and Cloud Communication Using Attribute Based Access Control and Re-encryption","authors":"Kunal Vohra, M. Dave","doi":"10.1109/ICICCT.2018.8473045","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473045","url":null,"abstract":"Fog Computing is a type of distributed computing that reduces computation on the cloud by creating a new layer between the Internet of Things (IoTs) devices and the cloud. This helps to deliver the services more efficiently and effectively. The security concerns in fog computing are inherited from the cloud itself as the fog computing is derived from cloud computing. So, a major security concern in fog computing is during sharing of data, as illegitimate users could get access while the data is being shared. Attribute Based Encryption (ABE) method is proved to be beneficial for securing the data, but ABE method alone is not sufficient as there are various security concerns such as forward issue and backward issue. Various methods have been proposed by researchers to solve the problem, one such efficient solution is re-encryption. In this paper we propose a scheme that uses Ciphertext-policy Attribute based Encryption along with re-encryption for providing access control in fog and cloud communication. The analysis of the proposed scheme reveals better security and performance. We have also implemented the proposed scheme to show its effectiveness.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123623451","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
Smart Stick for the Blind and Visually Impaired People 专为盲人和视障人士设计的智能手杖
Mukesh Prasad Agrawal, A. Gupta
{"title":"Smart Stick for the Blind and Visually Impaired People","authors":"Mukesh Prasad Agrawal, A. Gupta","doi":"10.1109/ICICCT.2018.8473344","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473344","url":null,"abstract":"There are many issues over which humans have no control blindness is one of such issues. It snatches the vivid visual beauty of the world from an individual's life. But missing the beauty of nature becomes one of the last worries of such people as they have to face numerous difficulties in order to perform even the most basics of tasks in their day to day life. One of their most dominant problems is of transport, such as crossing roads, traveling in trains, or other public places. They always require human assistance to do so. But sometimes they are rendered helpless when no such assistance is offered. Their dependencies deteriorate their confidence. Traditionally they have been using the conventional cane stick to guide themselves by touching/poking obstacles in their way. This causes a lot of accidents and hence is dangerous for them and others. As this is a technologically driven era we decided to aid these differently abled people by coming up with a technology utilizing solution. We call it the “Smart Stick”. It is a device which guides the user by sensing obstacles in the range of stick. It will identify all obstacles in the path with the help of various sensors installed in it. The microcontroller will retrieve data and pass it on as vibrations which will notify the user about hurdles on the way. It is an efficient device and will prove to be a big boon for blind people.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121894864","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: 53
Gaze-contingent Screen Adjustment 视屏调整
Anshul Vora, Rishabh Shah, Hrutwin Pottekkatt, Deepen Parmar
{"title":"Gaze-contingent Screen Adjustment","authors":"Anshul Vora, Rishabh Shah, Hrutwin Pottekkatt, Deepen Parmar","doi":"10.1109/ICICCT.2018.8473181","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473181","url":null,"abstract":"In recent times, smartphones, tablets and e-book readers have been introducing an increasing amount of computer vision based features. Some of the features include-unlocking using facial recognition, virtual reality based games, et al. In this paper, we have discussed another use of computer vision in daily device usage-adjustment of the screen, depending on the user's gaze. We shall be discussing the methods used to track the position of the eyeball, and how gaze-tracking can be used to make adjustments to the screen magnification, orientations and focus. Once eyeball tracking is achieved, the data can be used to change the magnification of the screen, or simply move the content depending on eye position-just like it would move in real life. We propose to use the device's inbuilt camera to take images of the user's eye position. These images can be processed using MATLAB-based software.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122107851","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
Prediction of Rainfall Using Data Mining Techniques 使用数据挖掘技术预测降雨
V. Tharun, R. Prakash, S. Devi
{"title":"Prediction of Rainfall Using Data Mining Techniques","authors":"V. Tharun, R. Prakash, S. Devi","doi":"10.1109/ICICCT.2018.8473177","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473177","url":null,"abstract":"The occurrence of rainfall is an outcome of various natural factors such as temperature, humidity, cloudiness, wind speed, etc. Rainfall prediction is a major concern for meteorological department as it is closely associated with the economy and sustenance of human life. In this work, we use regression techniques and statistical modelling to predict the rainfall intensity of Coonoor in Nilgiris district, Tamil Nadu. It is a comparative study of various regression techniques based on the Relative error. The regression techniques used for prediction are Support Vector Regression (SVR), Random forest (RF) and Decision Tree (DT). The parameters considered for training the model includes the daily recorded temperature, humidity, cloud speed, wind speed and wind direction of Coonoor. The rainfall prediction model was made more efficient by including the rainfall intensities of nearby stations within an area of 7 km2, The developed forecasting models were analysed on the basis of R-square and Adjusted R-square values. A statistical model was developed out of all the techniques by generating the regression equation used for prediction of rainfall by each of the model. The proposed models were implemented in Python platform. The prediction model developed by the RF regression technique was found out to be a better and efficient model compared to SVR and DT models.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123864833","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: 17
High Density Fixed Valued Impulse Noise Removal Using Improved Decision Based Hybrid Median Filter and its Application on Medical Images 基于改进决策的混合中值滤波高密度定值脉冲噪声去除及其在医学图像中的应用
L. K. Baghel, R. K. Sunkaria
{"title":"High Density Fixed Valued Impulse Noise Removal Using Improved Decision Based Hybrid Median Filter and its Application on Medical Images","authors":"L. K. Baghel, R. K. Sunkaria","doi":"10.1109/ICICCT.2018.8473182","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473182","url":null,"abstract":"Formation of image is affected by image capturing device characteristics and intensity of light. Therefore inferior quality of image capturing device and inadequate lighting conceals particulars and significant details associated with image. In order to squeeze out the hidden features, image enhancement (noise removal) is mandatory. Hence noise removal is realized as pre-processing step in image study. In this research paper a Decision Based Hybrid Median Filter is suggested for the renovation of gray scale images corrupted by fixed valued Impulse noise. This suggested filtering technique offers superior results than the earlier known enhancement techniques like standard median filter (MF), adaptive median filter (AMF), fast and efficient median filter (FEMF), new adaptive weighted mean filter (AWMF), noise adaptive fuzzy switching median filter (NAFSMF). The foremost objective of the suggested technique is to enhance visual perception and boost peak signal to noise ratio (PSNR). In the suggested technique if current pixel is found noisy then it is substituted by median value achieved after eliminating pixels with intensity values 0 and 255 from the window. When all the pixels in the window are 0 and 255 then the window size is increased. If 80 to 90% pixels are 0 and 255 in the new window, then substitute the pixel with the previously processed pixel value else substitute it with mean of the designated window. The suggested technique is verified against standard as well as medical images. Comparisons and experimental results shows better visual and quantitative results with reduced mean square error (MSE), increased image enhancement factor (IEF) and peak signal to noise ratio (PSNR).","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115348448","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
Performance Analysis of Indoor Optical Wireless Communication with and Without FLI Effect Using Various Modulation Schemes 不同调制方式下有和无FLI效应的室内无线光通信性能分析
G Dushyanth Kumar Reddy, Rajat Kumar Giri
{"title":"Performance Analysis of Indoor Optical Wireless Communication with and Without FLI Effect Using Various Modulation Schemes","authors":"G Dushyanth Kumar Reddy, Rajat Kumar Giri","doi":"10.1109/ICICCT.2018.8473266","DOIUrl":"https://doi.org/10.1109/ICICCT.2018.8473266","url":null,"abstract":"This paper comprises the performance analysis of indoor Optical Wireless Communication using different modulation schemes like On-Off Keying, Pulse Position Modulation, Digital Pulse Interval Modulation. The survey has been carried out by considering performance parameters such as Normalized Optical Power Required(NOPR) and Optical Power Penalty(OPP) along with various data rates. The corresponding analysis in presence and absence of FLI(Fluorescent Light Interference) by use of high pass filtering was accomplished. From simulation results, we found DPIM performs better with minimum power penalties.","PeriodicalId":334934,"journal":{"name":"2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032782","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信