S. Behera, Ruturaj Pattanayak, Preeti Punam Mohapatra, Susmita Suravi Mishra
{"title":"Comparison of Internal Fault Classification of Wind Turbine Benchmark Model","authors":"S. Behera, Ruturaj Pattanayak, Preeti Punam Mohapatra, Susmita Suravi Mishra","doi":"10.1109/GCAT47503.2019.8978377","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978377","url":null,"abstract":"This work attributes to classify four types of internal faults present in the wind turbine benchmark model (WTBM). In this model, different types of possible faults in the WTBM such as in sensor, actuator, and system are modelled. Support Vector Machines (SVM) and Artificial Neural Network (ANN) are used for the fault classification in a comparative study for fault in pitch position due to an error in sensor measurement; generator torque offset due to actuator fault and changed dynamics effect on angular speed. The SVM classifies more accurately than existing results and ANN for the faults under study.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114797586","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":"LIBOR Prediction Using Genetic Algorithm and Genetic Algorithm Integrated with Recurrent Neural Network","authors":"X. Tan","doi":"10.1109/GCAT47503.2019.8978299","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978299","url":null,"abstract":"LIBOR (London Inter Banking Offered Rate) market, as one of the most important interest rate market to display the liquidity of the currency flow globally, is a huge market with global stake holders to be involved. The rate is a significant indicator for the liquidity risk of global markets in different currencies and for the stability of the finance markets in main countries. This thesis is to predict the LIBOR in USD with two algorithms: the pure Genetic Algorithm (\"GA\") and the Genetic Algorithm integrated with Recurrent Neural Network (\"GA + RNN\"). The pro and cons of these two algorithms will be compared, with fitness values and Mean Squared Error (\"MSE\"). 50 test cases will be created and tested randomly to verify the performance of the predictions. In the algorithm of RNN+GA, the target variance between predication and real value is no more than 0.015.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124483759","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 Modified Single Phase Nine Level Multilevel Topology for Standalone Solar System","authors":"Sandeep Kumar, J. Kumar","doi":"10.1109/GCAT47503.2019.8978427","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978427","url":null,"abstract":"This paper introduces a further modified topology of modified packed U-cell topology (MPUC). In this paper, authors use two different DC voltage sources and Perturb and Observe (P & O) technique to track maximum power point. A DC-DC boost converter is used to connect PV panel with multilevel inverter (MLI). The output of inverter is further filtered using LC filter. Authors use two different Pulse Width Modulation (PWM) techniques i.e. PD PWM and POD PWM and compare the results of proposed inverter with these two PWM techniques. MATLAB/SIMULINK environment is used to simulate the proposed inverter with standalone solar system. The output THD of proposed inverter is 0.4% with filter which lies within limit according to IEEE Std 519.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127739641","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":"Reconfigurable Antenna Design with Frequency, Polarization and Pattern diversity","authors":"Farha","doi":"10.1109/GCAT47503.2019.8978345","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978345","url":null,"abstract":"A circular Microstrip patch reconfigurable antenna (59 × 36 × 3.2 mm3) has been presented for S, C and X bands’ applications. The antenna exhibits linear, circular as well as elliptical polarization and operates in the frequency range of 3.24-9.3 GHz with different operating frequencies in different modes and results a pattern diversity as per the ON and OFF conditions of the four PIN switches. The simulation has been carried out on Ansoft High Frequency Structure Simulator version 13.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318873","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":"Reliability and Cybersecurity Improvement Strategies in Wireless Sensor Networks for IoT-enabled Smart Infrastructures","authors":"Sachin Sen, C. Jayawardena","doi":"10.1109/GCAT47503.2019.8978380","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978380","url":null,"abstract":"IoT-enabled smart applications and infrastructures use low power wireless sensor networks widely. But due to low energy and lack of computing capabilities, the comprehensive use of such devices result in reliability and security vulnerabilities. Therefore, the lower capability of sensor devices need to operate wisely with careful technical considerations to maximize their capabilities. This paper proposes a new technique to improve reliability and cybersecurity by balanced use of sensor energy while maintaining the quality of communication. The simulation result shows that the strategy proposed is effective. A hacking strategy has also been detailed so that the security experts can consider those while designing a security suite for IoT-enabled infrastructures.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126224214","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":"GCAT 2019 Speakers","authors":"","doi":"10.1109/gcat47503.2019.8978305","DOIUrl":"https://doi.org/10.1109/gcat47503.2019.8978305","url":null,"abstract":"","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126539890","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}
J. Kulandai Josephine Julina, T. Sree Sharmila, S. Joseph Gladwin
{"title":"Vehicle Speed Detection System using Motion Vector Interpolation","authors":"J. Kulandai Josephine Julina, T. Sree Sharmila, S. Joseph Gladwin","doi":"10.1109/GCAT47503.2019.8978375","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978375","url":null,"abstract":"Vehicle speed detection system is used to estimate the speed of a moving vehicle at a given instant of time. The current technology using radar gun is more expensive and it can detect only one object in an instance, with lesser accuracy. Hence, an alternative vehicle speed detection system based on video frame extraction and motion detection is proposed. The moving vehicles are detected and tracked using Motion Vector Interpolation technique. The speed is calculated and displayed for each vehicle in the input video which is for every 0.6 seconds. The simulation is performed using MATLAB and system proved to be an efficient one producing a result with minimum error of less than 3%.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861925","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":"Speeding up of Design Convergence using Spyglass","authors":"Ajmal Firdous, S. Kusuma","doi":"10.1109/GCAT47503.2019.8978376","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978376","url":null,"abstract":"In Today’s modern world of ASIC designs which has high complexity and need high scale integration due to the fast pace development of the products which also creates high competition and demand for development of the product, crunch time to manufacture the products , It is necessary that product should be manufacture on time with the specified architecture with no defects ,if any defects are found in the tape the whole process of sorting out the defect is called Respin which is a huge loss in terms of time and money. This puts pressure on designer for good design work which requires greater need for RTL design coding and even greater simulation than the conventional way which can be achieved using SPYGLASS CDC. In this project by considering Lockstep counter as an example we are demonstrating that SPYGLASS requires less Run-time to report the bug as compared to Traditional Verification method.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131452940","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":"Hemorrhage Segmentation and Detection in Retinal Images using Object Detection Techniques and Machine Learning Perspectives","authors":"N. Rani, N. Bipin, C. R. Yadhu","doi":"10.1109/GCAT47503.2019.8978422","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978422","url":null,"abstract":"Automated diagnosis of diabetic retinopathy is one of the major goals of hemorrhage detection. Occurrence of hemorrhages in retinal images indicates the early signs of person being suffering from diabetic retinopathy. In this paper, techniques for segmentation and detection of hemorrhages from retinal images are proposed. The objectives of this work primarily focuses of extraction of blood vessel structures and hemorrhages using connected object and Sobel edge detection techniques on green channel extracted from RGB and further classify the local binary pattern features from segmented objects as hemorrhages detected and non-hemorrhage detected images. Pre-processing is performed on retinal images by extraction of green channel images being subject to adaptive histogram equalization, Laplacian filtering followed by morphological bridging operation. Further hemorrhage detection is carried out in both in machine learning and non machine learning approaches. The datasets employed for experimentation is acquired from Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy. A comparative study on the outcomes of both the method is conducted and observed that the results of both methods are in par with each other with promising average accuracy of about 92.31%","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131950241","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}
C. Neha, M. Hegde, Vikrant Aher, V. Sai, Shruti Gatade, Vasudha Hegde
{"title":"Design and Analysis of Piezoelectric Cantilever Based Vibration Energy Harvester for Low Power Devices","authors":"C. Neha, M. Hegde, Vikrant Aher, V. Sai, Shruti Gatade, Vasudha Hegde","doi":"10.1109/GCAT47503.2019.8978326","DOIUrl":"https://doi.org/10.1109/GCAT47503.2019.8978326","url":null,"abstract":"The advancement in technology lead to many low power electronic devices which may be powered autonomously by ambient sources like vibrations which are abundantly available in our surroundings. In this paper, the analysis and implementation of the method in which the low frequency ambient vibrations are used to generate low power using cantilever based piezoelectric vibration sensor is carried out. Here, the simulation of the sensor structure is done using COMSOL Multiphysics to analyze the stress, strain, displacement, natural frequency and modal frequencies of the designed cantilever. The effect of dimension of the structure (like length, width and thickness), the piezoelectric material, and the volume of the tip mass and clamp positions on natural frequency and voltage is analyzed. The optimized simulated values are compared with the theoretical values and the actual sensor’s (PPA 1001) values. The results are in close approximation. The output signal is rectified and conditioned so that it can be used to power electronic gadgets. LTC 3588 is used for signal conditioning. In this work, a massager having frequency range in 70-80Hz is used as vibration source. With the optimized values of sensor position, clamping and tip mass, the output voltage available is 16V (p-p). This is conditioned further to get a constant output voltage of 3.3 V.","PeriodicalId":192369,"journal":{"name":"2019 Global Conference for Advancement in Technology (GCAT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427318","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}