{"title":"TEYSuR - Text Extraction with YOLO and Super Resolution","authors":"Srividya Subramanian, Vineet Kekatpure, Gladina Raymond, Kapil Parab, S. Dugad, Archana Shirke","doi":"10.1109/ICONAT53423.2022.9726124","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726124","url":null,"abstract":"In these times where a myriad of industries are becoming digitized and advanced, text recognition is being incorporated time and again to enhance customer satisfaction, improve accessibility and organize business processes. Conventional Deep Learning based text recognition, also termed as Optical Character Recognition (OCR) is based on learning the shapes of the characters in a language. In Text Extraction with YOLO and Super Resolution (TEYSuR) we propose a novel approach where YOLO, an object detection algorithm is used to localise and classify characters in an input image. The characters in the image are treated as individual objects by the algorithm and text is extracted with high accuracy and speed. In order to cater to input images of various font sizes the system proposes an additional Inference module which resizes images using Super Resolution and yields extremely high accuracy results. The word accuracy attained by the YOLO model was 88% and coupled with the Inference module TEYSuR attained a word accuracy of 96%. Hence, this system can be successfully used for extracting text from images with high efficiency.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130852078","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}
Shreya Reddy Chillakuru, Nandakrishnan Muraleedharan, M. D. Upadhayay
{"title":"Triangular Metamaterial Loaded Antenna for Low RCS Stealth Application","authors":"Shreya Reddy Chillakuru, Nandakrishnan Muraleedharan, M. D. Upadhayay","doi":"10.1109/ICONAT53423.2022.9726127","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726127","url":null,"abstract":"This work proposes a design of triangular metamaterial loaded antenna with low RCS, which can be employed for space research and stealth applications. Circular and upturned C-shaped resonating slots are introduced in the rectangular patch to aid in miniaturization and impedance matching respectively. The reduced RCS, triangular SRR and CSRR are entrenched on the top and ground plane respectively; these have the added advantage of a compact unit cell. The two radiating edges of the antenna are loaded with dual-section stepped impedance resonators to curb the reflection of the impinging signal. The proposed antenna resonates at 2.25 GHz with a reflection coefficient of −20.83dB. The gain of the antenna is 4.11dBi, which is typical of a low RCS radiator. The impedance bandwidth is 46.5MHz and the antenna has a low monostatic RCS of −23.796dBsm at the fundamental resonant frequency. Since the antenna has a low RCS at the resonance frequency, it can be utilized for defense and stealth applications.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130252822","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":"Design of an Ultra-Low Power CMOS ADC using Threshold Inverter Quantization for Communication System","authors":"Lalit Rai, Prashant Kumar, N. Gupta, Rashmi Gupta","doi":"10.1109/ICONAT53423.2022.9726001","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726001","url":null,"abstract":"The Analog-to-digital converter (ADC) is primarily used for conversion. It fills up the gap between the analog physical world and the digital logical world. The mitigation in channel length needs a low power and low voltage ADC for faster conversion. In this paper, a 5 Bit Flash ADC with multiplexer as a code converter is designed which has the high speed and low power. The high speed is achieved by threshold inverter quantization (TIQ) method. It is implemented within $0.18mumathrm{m}$ CMOS technology using tanner EDA design tools with overall system voltage is 1.8 V. The comparison has been carried out among for various ADC. The key metric parameters have been estimated for different ADC. The proposed ADC outperforms than its counterparts.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127935043","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":"State-of-Art Analysis of Multiplier designs for Image processing and Convolutional Neural Network Applications","authors":"Zainab Aizaz, K. Khare","doi":"10.1109/ICONAT53423.2022.9726109","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726109","url":null,"abstract":"Recently, due to the immense growth of computing power, image processing and Convolutional neural networks (CNN) have regained gigantic attention because of the exemplary performance in Image modification and classification applications. The multipliers are the indispensable circuit components in improving energy efficiency of hardware implementations of CNN and image processing techniques. In this paper, we have presented a comprehensive study on state-of-the-art multipliers for these applications. Hardware platforms for deploying image processing and CNN are briefly described and multiplier implementation on these are discussed. A detailed discussion on FPGA based embedded multipliers and ASIC based multipliers is presented. Emerging multiplier architectures for CNN applications are compared. The strategies used for designing approximate multipliers and error compensation are also summarized.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127977608","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}
Janet Mary Johnson, Geethu Joy, Y. Sindhu, Emmanuel Joy
{"title":"Virtual 3D Game-on simulation: An immersive learning framework for assisted driving","authors":"Janet Mary Johnson, Geethu Joy, Y. Sindhu, Emmanuel Joy","doi":"10.1109/ICONAT53423.2022.9726027","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726027","url":null,"abstract":"This paper demonstrates the design and architecture of a virtual driving simulation game. Virtual reality is an alternative world filled with computer-generated images that respond to human movements. Thus, early learners can drive without facing the real-world consequences. The outcome of this research is that it helps early driving learners to overcome the fear of driving. Early learners can easily get over panic and unwanted anxiety. The theoretical framework of this driving game simulation has been designed by using Unity 3D game engine and C# scripting. Gaming controls are given to the player either through the keyboard or through a joystick. The game is visually seen on the monitor screen and headsets are used for achieving realism. Maya and Blender software was used for modelling the framework of the game. We have achieved the output controls of the game by interfacing custom-designed electronic components such as the steering and the accelerator. The goal of this game is to create a virtual learning environment in which early learners can feel at ease while playing. The outcome of this game is to achieve self-confidence among the early learners that help them take away the fear built within them. Even though more women are entering the workforce, there is still a vulnerable segment of the population that is fearful of driving. This game may assist them in overcoming their anxiety and fear.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126623532","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":"Reviewing Important Aspects of Plant Leaf Disease Detection and Classification","authors":"Vishakha A. Metre, S. Sawarkar","doi":"10.1109/ICONAT53423.2022.9725870","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725870","url":null,"abstract":"Agriculture, being the dominant industry from the point of view of economical growth of countries like India, plays a vital role in fulfilling the demand of food. However, extreme weather conditions and several climate changes may invite notable infectious diseases in plants caused by fungi, viruses and bacteria. These plant diseases can be a major threat to food supply and hence it is important to identify and prevent the plants from the diseases at the early stages. The conventional approaches were dependent on the experts in the field and hence time consuming. Since the technology is upgrading day by day and has plenty of its advantages in plant leaf disease detection field as well, various disease identification approaches using different domains have been proposed in the literature to detect and cure the plant diseases that occur on the plant leaves. Although, many of the existing approaches have provided better results, challenges exist in order to achieve optimized results of plant leaf disease detection process. This paper reviews different methodologies under image processing, machine learning, deep learning and swarm intelligence domains for plant leaf disease detection. Understanding of various diseases that occurs on plant leaves is very important in order to deal with it; hence this paper provides a detailed taxonomy about the different plant diseases and dataset that is popularly used in various existing approaches for training and testing purpose of plant leaf disease detection and its classifications.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121603191","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}
S. Joshi, G. Bharadwaj, Ravindra Singh Chauhan, Virendra Sharma, J. K. Deegwal
{"title":"Augmenting Stability and Total Harmonic Distortion Reduction in Grid Coupled Wind Power Generation System","authors":"S. Joshi, G. Bharadwaj, Ravindra Singh Chauhan, Virendra Sharma, J. K. Deegwal","doi":"10.1109/ICONAT53423.2022.9725928","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725928","url":null,"abstract":"This paper pivoting on augmenting stability in generated voltage output from grid coupled wind power generation system. Wind power is available freely and in ample quantity on our planet. Due to sustainable nature of wind energy, it is most viable to harvest energy from natural wind in the form of electricity. For running the wind power generation system with higher voltage stability, effective controller is needed. An overview of global energy scenario is summarized with special attention on wind energy. Summary of various control strategies and maximum power point tracking methods are exhibited. Worldwide wind capacity plant installations and net zero emission strategy is presented in this paper. Static synchronous compensator with proportional integral derivative based controller is designed to increase the stability and reduce total harmonic distortion of the voltage output from wind power generation system. Comparative study between voltage waveforms obtained from wind energy with and without proportional integral derivative controller is displayed. The work in this paper proposed the design and implemented MATLAB simulink model of wind power generation system, static synchronous compensator and proportional integral derivative controller. For getting validity of the proposed controller, immense simulation analysis has been done. The obtained results exposed the utility of proposed work.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"451 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045097","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":"Factors Affecting Forecast Accuracy of Individual Stocks: SVR Algorithm Under CAPM Framework","authors":"B. T. Khoa, T. Huynh","doi":"10.1109/ICONAT53423.2022.9725916","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725916","url":null,"abstract":"The research was carried out with two objectives, including applying the algorithm under the Capital Asset Pricing Model framework (CAPM) to predict individual stocks' return rates and determine the factors affecting the difference in Error for each stock. This study experimented on the Ho Chi Minh City Stock Exchange (HOSE) in the period from 12/2012 to 9/2020 with two stages; in which stage 1 is used to determine the optimal parameters in the Vector Regression algorithm (SVR), and stage 2 is used to test the predictive efficiency by rolling window method. The study pointed that the predictive model using SVR is more effective than CAPM; moreover, the study finds that the specific risk factors (VAR), the overall risk (SD), and the accuracy of CAPM (RMSECAPM) are the factors affecting the difference in the forecast error of the SVR model for individual stocks","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126313348","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}
Ankur Gupta, Ankit Singh, R. Singh, Akhilesh Tiwari
{"title":"Wagon wheel Fiber based Surface Plasmon Resonance Biosensors with bimetallic spatially deposited metal layers","authors":"Ankur Gupta, Ankit Singh, R. Singh, Akhilesh Tiwari","doi":"10.1109/ICONAT53423.2022.9725980","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725980","url":null,"abstract":"In this paper, Multi-channel wagon wheel fiber (WWF) based Surface Plasmon Resonance (SPR) bio-sensor with spatially deposited metal layers is analysed. Two spatially deposited bimetallic layers are used as plasmonic material for two different analytes which will create two distinct SPRs corresponds to each metal layer. Metals are used in such a way that SPRs have been generated for two distinct polarized lights. A center hole is created to increase the resonant interaction between core mode and plasmonic mode. X-pol light interacts with Ag metal layers while y-pol light interacts with Au metal layers. This sensor provides multi-analyte sensing with the help of two different polarized modes with two spatially distributed metal layers. Good performance parameters are also achieved for both plasmonic peaks.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121021493","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":"Unique Analysis Technique for 4-Terminal MOSFET Amplifiers using Floating Admittance Matrix Approach","authors":"S. Roy, K. Sharma, B. P. Singh","doi":"10.1109/ICONAT53423.2022.9726076","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726076","url":null,"abstract":"The paper presents an elegant technique of analyzing electronic devices (MOSFETs) and circuits. The conventional analysis method is complicated as it involves the small-signal equivalent circuit and uses KCL, KVL, Thevenin's, Norton theorems etc., as per the suitability of the circuit. The proposed technique helps in writing the floating admittance matrix (FAM) of any circuits by inspection, once the FAM of electronic devices (MOSFET/ BJT) is known. The matrix partitioning technique suites very well for an extensive network using the proposed technique. The sum property of all the elements of any row or column equal to zero assures to proceed further for analysis or re-observe the very first equation. This saves a lot of time and energy. The proposed floating admittance matrix technique does not assume any reference terminal. For this reason, it is called the floating admittance matrix approach. The FAM method presented here is so simple that anybody with little knowledge of electronics can analyze any circuit to derive all types of its transfer functions, knowing the matrix manoeuvring. The mathematical modelling using the FAM method allows the designer to adjust their design at any stage of analysis comfortably. These statements provide compelling reasons for the adoption of the proposed process and demonstrate its benefits. Many books suggest two methods of analysis of MOSFET amplifiers; one hybrid model and the other T-model. The proposed technique is unique for all types of configurations of MOSFET amplifiers.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125136156","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}