{"title":"Tracking control of inverted pendulum on a cart with disturbance using pole placement and LQR","authors":"Chandramani Mahapatra, S. Chauhan","doi":"10.1109/ICETCCT.2017.8280311","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280311","url":null,"abstract":"This paper presents the Mathematical non-linear model of Inverted Pendulum (IP) system on a cart based on Lagrange's Equation. The linearization is done through Tayler's series approximation. Linear Quadratic Regulator (LQR) and Pole Placement control strategy are used for solving tracking problem and stabilization of pendulum around upright position. Square wave is used as reference signal for IP tracking. Simulation results are compared with and without disturbances for both the control strategy. The performance of controllers is obtained based on specification of response time and disturbance rejection level. The performance of LQR is better than pole placement control.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128528455","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}
{"title":"Automated localization of optic nerve head in a fundus image using computer vision techniques","authors":"Ashish Issac, M. Soorya, M. Dutta","doi":"10.1109/ICETCCT.2017.8280305","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280305","url":null,"abstract":"Glaucoma is an ocular disease which can be a cause of permanent blindness if not detected at an early stage. Computer aided diagnosis of diseases has been prevalent way of diagnosis in recent past. Correct localization of optic nerve head is important as detection of many diseases depends directly or indirectly on the correct detection of optic nerve head. The proposed method proposes a technique for correct localization of optic disc from fundus images. An anisotropic diffusion technique is used to smooth the images and extract pixels of sharp contrast like vessels and optic disc periphery. A statistical analysis is performed to highlight regions having high density of contrast pixels. Finally, morphological operations have been employed to determine the center of optic nerve head. The proposed has been tested on fundus images from DRIVE and MESSIDOR database. The applicability of the proposed method across images of different databases makes it suitable to be used in some real-time system in this field.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133031030","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}
{"title":"Performance enhancement of duplex antenna for wireless communication","authors":"Suchita Patel, Nitika Rai, Kochar Inderkumar","doi":"10.1109/ICETCCT.2017.8280314","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280314","url":null,"abstract":"A compact and integrated duplex antenna has been designed. The duplex action is made possible by integrating the duplexer and a rectangular dual band patch antenna. A couple of sets of split ring resonators are used for filtering while a stub loaded resonator serve as the junction resonator. A slot in the ground is provided to achieve coupling between the rectangular patch antenna and the hairpin resonator. Further, to make this design compact, the 50 ohms interface and the matching networks between them are eliminated. This proposed duplex antenna provides two frequency channels of 2.41–2.47 GHz for transmitting and 2.71–2.78 GHz for receiving. It provides better isolation and is compact as compared to other designs in the literature. The simulated results indicate that the isolation for both transmitting and receiving bands is 52.5 dB.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134255751","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}
{"title":"Optimizing performance of dual metal gate modified source FDSOI using symmetric and asymmetric oxide spacers","authors":"A. K. Malviya, R. Chauhan","doi":"10.1109/ICETCCT.2017.8280327","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280327","url":null,"abstract":"This Paper is focused on improving the ON current and reducing the OFF current with the use of different types of the high-k spacer. Some spacers provide better ON current and some provide lower OFF current (leakage current). Lowering of leakage current can also be controlled by use of high-K BOX (buried oxide layer). In this paper, we used TiO2, HfO2, SÌ3N4 and SiO2 at 50 nm gate length Modified Source DMG FDSOI structure. All simulation part has been done on Silvaco tool.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130130272","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}
{"title":"Clustering approach with DU-NET coding for prolonging lifetime of WSN","authors":"Priyank Trivedi, Parul Kansal","doi":"10.1109/ICETCCT.2017.8280293","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280293","url":null,"abstract":"The key challenge at the time of designing a Network composing of wireless sensors, is how to curtail excess utilization of energy by the system & escalation of network lifetime. The boost in the lifetime of a network is acquired by considering different parameter including DU-NET coding (duty cycled network coding scheme) accompanied by clustering, which includes cluster head selection and data routing, having different benefits and shortcoming of its own. Using duty cycle efficiency of a system is augmented to a remarkable extent and for the provision of packet latency, network coding is used. Here clustering protocol called SEP (Stable Election Protocol) which is heterogeneous in nature is introduced, used to provide efficient routing algorithm and provides an optimized solution for lifetime maximization. In SEP, Cluster heads are selected on the basis of residual energy of node using Weighted Election Probability. Categorization of nodes is done into Normal nodes and Advanced nodes based on the initial energy of nodes. The results are demonstrated and proved using MATLAB.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392230","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}
{"title":"Prediction model based hybrid routing protocol for cognitive radio ad-hoc network","authors":"G. S. Negi, Varun Kumar Kakar","doi":"10.1109/ICETCCT.2017.8280296","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280296","url":null,"abstract":"Cognitive is a new paradigm and now seen as a solution to the ‘spectrum scarcity’ problem in wireless communication system. It is necessary to use spectrum efficiently due to its limited availability. Cognitive radio network reuses the spectrum environment to detect the white spaces in the frequency spectrum. White spaces are then allocated to secondary user to carry out the transmission and keeping in check the interference to primary user. Various prediction models and algorithms based on probability theory have been used to predict the channel states to ensure efficient use. In this paper, we propose a Prediction Model Based Hybrid Routing protocol For Cognitive Radio Ad-hoc Network. Proposed method is compared with technique used previously. Simulating the scenario results, conclusions are drawn and discussed.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114699039","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}
{"title":"Big data and hadoop — A technological survey","authors":"Manika Manwal, A. Gupta","doi":"10.1109/ICETCCT.2017.8280345","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280345","url":null,"abstract":"Generally, when we here a term “BIG DATA” many assumption and queries generate in our mind like when did this term Big Data came into the picture? What is it? Why we need it? How is it beneficial? There are many events which can be taken into consideration starting it from the ancient world to the modern world, data was always stored. Nowadays the enormous amount of data is been produced via many organizations e.g. Twitter, Facebook, LinkedIn etc. so thru Big Data huge amount of data with a varied variety can be stored, managed and processed. Big Data make sure that the accuracy and knowledge from the data are generated rapidly and provides benefit and convenience to the organizations, researchers, and consumers by accounting the properties of Volume, Value, Variety, Veracity, and Velocity. This study comprises of the introduction in which the Big Data is entailed in addition to this is its features and classification. Then this study talks about the hadoop and its architecture plus the components used in hadoop like HDFS, Map Reduce, Pig, Hive, Hbase, and Sqoop. In the conclusion part — a global valuation is tailedup.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131741917","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}
{"title":"Pneumatic control valve stiction modeling using artificial neural network","authors":"Sachin Sharma, Vineet Kumar, K. Rana","doi":"10.1109/ICETCCT.2017.8280316","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280316","url":null,"abstract":"One of the common and widely appearing problem in the process industry is stiction in pneumatic control valves. It introduces oscillations in control loops which in turn results into variations in product quality, instability in control loops and increases the wear and tear of the control valve. In this paper, a novel way of modeling of pneumatic control valve stiction using feed forward neural network is presented. Efficiency of the developed model was evaluated by comparing it with the real valve data and the data generated by Choudury valve model. The proposed artificial neural network (ANN) based valve modeling technique revealed an accuracy of 99.9% in both the cases. Based on the presented detailed investigations it can be concluded that ANN based modeling of pneumatic control valve is an effective technique.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128508584","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}
{"title":"Moving vehicle detection using deep neural network","authors":"A. Soin, M. Chahande","doi":"10.1109/ICETCCT.2017.8280336","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280336","url":null,"abstract":"In recent years, vehicle recognition has become one of the most important applications in the field of intelligent traffic monitoring and management. Vehicles detection on road is a necessary component in many intelligent applications, such as driver assistance systems, automatic toll collection, intelligent parking systems, self-guided vehicles and traffic statistics such as speed, flow and vehicle count. The main goal of our study is to detect the moving vehicles on road for driverless car assistance system. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the art method.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117076846","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}
P. Shrivastava, Prashant Kumar, Manish Tiwari, Amit Dhawan
{"title":"A novel approach for Low Voltage, Low Power deep Sub-threshold 5-T SRAM cell","authors":"P. Shrivastava, Prashant Kumar, Manish Tiwari, Amit Dhawan","doi":"10.1109/ICETCCT.2017.8280326","DOIUrl":"https://doi.org/10.1109/ICETCCT.2017.8280326","url":null,"abstract":"In this paper, we introduce a new low power & high static noise margin (SNM) deep sub-threshold 5-T SRAM cell which can be operated properly below the threshold value of devices in deep submicron .13μm CMOS technology. The new design is slightly different to 6T SRAM cell [15]. This design achieves an average 36.11% reduction in power dissipation for (1.2–1.8) volt supply voltage and achieves an average 106.60% improvement in static noise margin (SNM) for the same supply voltage. The reduction in power dissipation and improvement of SNM increases when we reduce the supply voltage below the 1.2 volts compared to existing 6T SRAM cell. (i.e. sub-threshold voltage).","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134184219","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}