{"title":"Hardware design of an efficient high speed multi channel data acquisition using DDR","authors":"Priyanka Chauhan, Karan Jasani, Dippal Israni, Ashwin Makwana","doi":"10.1109/I2CT.2017.8226133","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226133","url":null,"abstract":"A Data Acquisition System (DAQs) is an indispensable part to receive, store and further analysis of data. This paper focuses on Data Acquisition from multiple channels using Dual Data Rate (DDR) techniques. Multiple Channels of data source which are source synchronous are initially configured using Serial Peripheral Interface (SPI) commands. The Proposed technique gives an advantage of storing data received from multiple channels in parallel form. The proposed approach is divided into two parts. First is to acquire data from multiple channels of single data source into XILINX sparten-6 Field Programmable Gate Array (FPGA) followed by storing the same onto high speed storage device such as Static Random Access Memory (SRAM).","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134615128","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":"Optimal position and setting of svc using heuristic optimization techniques","authors":"R. Agrawal, S. K. Bharadwaj, D. Kothari","doi":"10.1109/I2CT.2017.8226194","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226194","url":null,"abstract":"During the last decade, there has been an increasing application of Flexible AC transmission system (FACTS) devices in power system due to its numerous advantages. However, to derive maximum benefits their location and rating should be optimal. This paper presents two heuristic optimization techniques, namely Particle Swarm Optimization (PSO) and Teaching Learning Based Optimization (TLBO), to ascertain to optimal location and value of static VAR compensator (SVC) in a power system. In the present study installation cost of SVC and transmission loss minimization are considered as the objective functions. The optimal location and the size of SVC are performed on the different loading condition using PSO and TLBO along with load flow. To show the applicability and validity of the algorithms, IEEE 14 bus power system is used. The simulation results of PSO and TLBO have been compared and presented in the present study.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994945","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":"A stacked Sierpinski's gasket fractal antenna for satellite uplink/downlink application","authors":"S. Kumar, P. Singhal","doi":"10.1109/I2CT.2017.8226304","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226304","url":null,"abstract":"In this paper a stacked modified Sierpinski's gasket fractal antenna is presented to achieve dual band behavior and wide bandwidth for satellite down link and uplink application in C-band D/L 4Ghz (3.82Ghz-4.38Ghz) and U/L 6Ghz (5.92Ghz-6.19Ghz) bands respectively. It is designed with proximity feeding technique using FR4 (∊r=4.4) substrate and height of the substrate h=1.6mm. Based on self similar properties modified to 2nd iteration antenna is proposed. The antenna has two resonance frequencies about 4Ghz and 6Ghz. About 500 MHz & 300MHz bandwidth has been achieved, which are reasonably high for satellite communication. The performance properties of antenna such as return loss, VSWR has been shown. Proposed antenna has been simulated using IE3D software.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134367293","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":"Control and operation of grid connected photovoltaic system","authors":"Nayana, R. L. Chakrasali","doi":"10.1109/I2CT.2017.8226234","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226234","url":null,"abstract":"Grid connected Distributed generation (DG) provides reliable and secured power. The research focus is to achieve adequacy and security in the grid connected photovoltaic (PV) power generation system. The islanding is the situation where DG continues to operate with the utility disconnected. Islanding detection should be done with minimum possible time when it occurs to ensure continued stable operation along with safety of linemen and the customers' equipment. Of the renewable energy sources, PV system is most suitable source for clean generation and suitable for any areas of applications. This paper deals with the PV cell model as DG integrated with the utility and operates in grid connected and intentional islanding mode. Islanding detection is carried out with passive islanding detection technique. The DG is integrated to utility to operate at grid voltage and frequency. Intentional islanding is tested by developing the model using MATLAB/Simulink environment and results are obtained. The simulation results validate the effective operation of the proposed controller and power electronic devices.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133491508","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":"Alternate arm modular multilevel converter for HVDC systems","authors":"Miss. Jyoti M. Kharade, N. G. Savagave","doi":"10.1109/I2CT.2017.8226196","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226196","url":null,"abstract":"The Modular Multilevel Converter (MMC) and Alternate Arm Modular Multilevel Converter are the emerging converter topologies which are most effective and suitable for HVDC systems. The AAMMC represents a hybrid multilevel converter topology with high capability for high voltage applications. One of the serious problems of the HVDC system is the blocking of DC side faults. The MMC can be used to limit the DC side fault current but the main disadvantage this converter it requires double number of submodules to switch in reverse voltage and has inability to produce negative voltage due to half bridge submodules. This paper represents the schematic and working principle of AAMMC which can be used to block the DC side faults. The control and modulation schemes are used for converter operation and shows better advantages for balancing the capacitor voltage across all submodules. The decoupled current control technique is used for DC link voltage control, active and reactive power control. Thus the converter provides the advantages such as lower number of submodules as compared to MMC which helps to minimize the size and volume of the converter station, DC fault tolerance property and generation of almost sinusoidal multistep harmonic free AC voltage. The simulation results for fault tolerant 21 level AAMMC are discussed and analyzed for active-reactive power control and DC link voltage control to demonstrate the effectiveness of the implemented system.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133694028","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":"Industrial purposed advance controlling strategy for SVC compensator firing system using microprocessor","authors":"Vidyadhar Waghamare, A. Salvi","doi":"10.1109/I2CT.2017.8226217","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226217","url":null,"abstract":"Now a days as power factor maintenance plays an important role in power system. And henceforth many compensating devices are present now days. Some of them are uncontrolled devices such as fixed capacitors, fixed reactors; whereas some compensators such as Statcom, Voltage source converters contains advance control strategies. SVC compensator is one of the compensator which compensates the fast variable demand of reactive power. There are many controlling schemes for such compensators but through this paper we are going to defined microprocessor based logic for thyristor firing in case of SVC compensator.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"22 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113041","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}
Kuldeep Sambrekar, V. Rajpurohit, Akhilesh Mokashi
{"title":"A comparative study on various storage techniques in cloud computing","authors":"Kuldeep Sambrekar, V. Rajpurohit, Akhilesh Mokashi","doi":"10.1109/I2CT.2017.8226152","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226152","url":null,"abstract":"Information Technology industries are in need of more storage space to store various types of data on cloud. Since data rate is continuously increasing, we need to utilize the storage space efficiently in terms of efficiency, computing speed, response time etc. Storage management in cloud environment aims to enhance performance of the data center by efficiently optimizing the underlying storage resources. To optimize the data storage, till now many techniques are proposed. In this paper some of these techniques are compared. The analysis is done on the basis of the parameters like speed, I/O request, efficiency etc. used by the respective researchers. At the end of this paper all techniques are summarized and the advantages and disadvantages of all technique are listed.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114825406","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}
Nirmitee Sinha, Akanksha Joshi, A. Gangwar, A. Bhise, Zia U H. Saquib
{"title":"Iris segmentation using deep neural networks","authors":"Nirmitee Sinha, Akanksha Joshi, A. Gangwar, A. Bhise, Zia U H. Saquib","doi":"10.1109/I2CT.2017.8226190","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226190","url":null,"abstract":"Iris recognition is very difficult to perform as it requires an environment that is highly controlled for better image acquisition. As compared to other biometric technologies, iris recognition is prone to poor image quality. Specially, images captured from a distance introduce noises such as blur, off axis, specular reflections and occlusions. For proper recognition good quality of captured image is mandatory and hence sometimes denoising is required. The approach discussed in the paper uses deep neural network for eliminating the unwanted patches affecting the performance of iris recognition systems. The proposed model uses upsampled indices at the decoder stage which is memory efficient. The experimental analysis is performed using Ubiris V.2 database.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114870945","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":"Static structural analysis of piston valve of twin tube dampers","authors":"Dheeman Bhuyan, Kaushik Kumar","doi":"10.1109/I2CT.2017.8226085","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226085","url":null,"abstract":"In this article, we aim to study the structural properties of the piston valve of a twin tube damper. The valve is reverse engineered, with modeling done in PTC Creo and the analysis in ANSYS Workbench. The results of the analysis show that the components under the maximum stress are the valve spring and the bleeder. Hence the work focuses on the spring and the bleeder. The loading conditions are obtained from CFD analysis [1] of the valve. The stresses generated in the valve spring are seen to be within the permissible limits for the spring material. Also the deformation of the bleeder as well as the spring is seen.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"87 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132042361","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":"Combining of random forest estimates using LSboost for stock market index prediction","authors":"N. Sharma, A. Juneja","doi":"10.1109/I2CT.2017.8226316","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226316","url":null,"abstract":"This research work emphases on the prediction of future stock market index values based on historical data. The experimental evaluation is based on historical data of 10 years of two indices, namely, CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock markets. The predictions are made for 1–10, 15, 30, and 40 days in advance. This work proposes to combine the predictions/estimates of the ensemble of trees in a Random Forest using LSboost (i.e. LS-RF). The prediction performance of the proposed model is compared with that of well-known Support Vector Regression. Technical indicators are selected as inputs to each of the prediction models. The closing value of the stock price is the predicted variable. Results show that the proposed scheme outperforms Support Vector Regression and can be applied successfully for building predictive models for stock prices prediction.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128588019","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}