{"title":"Feasibility study on replacement of coaxial cables with optical fiber links in UAVs","authors":"Gautam Sinha, M. D, N. B.","doi":"10.1109/CONECCT55679.2022.9865725","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865725","url":null,"abstract":"Aircrafts (Manned or Unmanned) need communication links that are light weight, immune to electromagnetic interference, high bandwidth and reliable for onboard communication. Conventionally the antennas and respective Line replaceable units use coaxial cables for interconnection that are complex and suffers from Electromagnetic Interference problems. Using optical fiber for both Radio Frequency and data level signal communication will have the inherent advantages viz. less weight, negligible loss, compact solution, less complex, no electromagnetic interference/ compatibility problem etc. The conventional coaxial links based solutions are not able to satisfy the increased data handling requirements of today's advanced aircrafts. The realization of this scenario will need more number of coaxial cables that are bulky resulting in a complex architecture. It is therefore proposed to use fiber links instead of coaxial cables in aircraft specifically in Unmanned Air Vehicle. In this work, the advantages and limitations of these fiber links are discussed both for point to point and Wavelength Division Multiplexing based distribution architectures as a part of feasibility analysis for realization. The work includes the results of the analysis carried out for radio frequency as well as digital signals and weight analysis.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116268198","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":"Simulation of Integrated Optical Triple Ring Resonator for Sensing Application","authors":"S. M, P. Steglich","doi":"10.1109/CONECCT55679.2022.9865772","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865772","url":null,"abstract":"In this work, a compact integrated optical ring resonator was designed with three rings structure having identical radius and two bus waveguides. The four ports of the bus waveguide i.e., two input and two output ports were placed for monitoring the path of the light traveling through input port to the output port. The linking of the light was achieved by the virtue of the rings and bus waveguide that works on the coupled mode theory. The imitation of the three- ring resonator configuration was carried out to analyze the parameters like transmission spectra and the free spectral range. The variation in the intensity of the light at the output port with respect to the wavelength was monitored in the simulation results. The sensitivity of the waveguide observed was 383 nm/RIU. The phase change occurred by the light structure is presented. The designed structure can further be analyzed for the sensing application since we can observe the shift in the phase by placing any bio particle in the structure.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665629","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":"Organ Bank Based on Blockchain","authors":"Navjeevan Chaudhary, S. Manvi, Nimrita Koul","doi":"10.1109/CONECCT55679.2022.9865787","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865787","url":null,"abstract":"The organ donation and transplant numbers differ in large numbers. The main reason for the difference is the number of donations that are performed compared to the number of organs being transplanted. A total of 7453 transplants were completed in the year 2020 whereas the number of patients who required transplants was over 2 lakhs. This significant difference is mainly due to the unawareness in the people of the importance of organ donation. On top of this, the black marketing of the organs is another major aspect which has led to an unorganized distribution of the organs. The existing system relies upon the central database system which includes the problems of reliability, immutability of the records and security of the data. The central database system lacks the validation methods for checking if the data has been modified or changed since they are the single source of information. This paper aims to solve the problem by using blockchain technology to store the records of the organs which can be tracked if any changes are occurred and stop the potential black marketing of the organs by verifying all the records that have been entered. The performance of the system will be measured based on the average response time of the system and the gas money used by the Ethereum Smart Contracts. We have found very low response times and lower cost of maintenance for the smart contacts, which shows that this approach can be used in the real-time organ transplant network.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"224 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113998573","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 Current Mode Bandgap Reference with 15.1ppm/0C Temp Coefficient in 28nm CMOS","authors":"R. Nagulapalli, Immanuel Raja","doi":"10.1109/CONECCT55679.2022.9865728","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865728","url":null,"abstract":"Conventional Sub-1V bandgap reference circuit does not provide PTAT current and it has several stable operating points. All of the existing problems are explained intuitively in this paper. A modified sub-1V reference circuit was proposed, by injecting the PTAT current into a BJT and potential divider. Also, residual systematic offset is one of the major temperature coefficient contributor. In this work a novel currentmirror based self-biased opamp has been proposed which minimized the systematic offset by more 36%. A prototype has been developed in 28nm and post-layout simulations are presented. The minimum VDD is 1V while providing 450mV reference voltage with a line regulation of 1.2%. A temperature coefficient of 15.1ppm/0C has been achieved over the industrial range of -40 to 1250C. The circuit draws 25uA at high temperature and occupies 1192um2 silicon area.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134111142","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":"Anomaly Detection in Time Series Data using Data-Centric AI","authors":"Chetana Hegde","doi":"10.1109/CONECCT55679.2022.9865824","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865824","url":null,"abstract":"Detecting the anomalous data points in the time-series data is a crucial task in most of the industrial applications where time is a key component. As time-series data is used for forecasting/predicting the values, building a most accurate model is essential. If the input data consists of anomalies, then the model fails to perform well and so does the future prediction. The conventional method of building a good predictive model suggests to improve the model performance by applying regularization techniques, performing feature engineering or by experimenting with different combinations of activation functions and/or loss functions along with number of neurons and hidden layers in a neural network. But, such a model-centric approach fails miserably in real-time applications. Data-centric approach where the input data itself must be updated and corrected is a novel technique in solving the issues faced by model-centric approach. This paper proposes a technique of using data-centric approach to detect anomalies in time series data. Several models using model-centric approach are demonstrated and proved to be underperforming with high False Negatives. Whereas, the data-centric approach proved to achieve 100% performance in correctly identifying the anomalous data points.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131710346","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":"Fabrication of A Nickel MEMS Accelerometer Based On SU-8 LIGA Process","authors":"K. S, S. L, S. R","doi":"10.1109/CONECCT55679.2022.9865704","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865704","url":null,"abstract":"This paper presents a new approach for fabrication of Nickel based MEMS z- axis accelerometer that makes use of SU-8 LIGA based fabrication process that is capable of operating at an elevated temperature. Here the usage of nickel is backed by facts like polymer-based material not being appropriate for high temperature and high stress applications and silicon-based micromachining process requiring expensive equipment and materials. This fabrication method offers the usage of a simple, cost effective and an indigenous process.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133697387","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}
Md. Ariful Islam, Lamisa Mashiat, Md. Mostafa Sayeed, Md. Maharaj Kabir, Sheik Erfan Ahmed Himu, Fahim Abrar, S. Chowdhury, Md. Tanvir Hayat
{"title":"Design and Implementation of A Low Cost Electronic Protection System To Prevent Question Paper Leakage","authors":"Md. Ariful Islam, Lamisa Mashiat, Md. Mostafa Sayeed, Md. Maharaj Kabir, Sheik Erfan Ahmed Himu, Fahim Abrar, S. Chowdhury, Md. Tanvir Hayat","doi":"10.1109/CONECCT55679.2022.9865777","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865777","url":null,"abstract":"Good quality of education and environment is needed to build a good education system. In order to determine the right quality of education, it is necessary to get away from bias and evaluate its accuracy. And the only way to adequately verify it is examination, which is the cornerstone of an optimum educational system. The major goal of the test is to measure the students’ abilities. However, the biggest obstacle has arrived in the form of question paper leakage. Day by day it is becoming a very common phenomenon. So, in order to solve this issue we have implemented a system which is IOT Based and Protected System with Radio Frequency Identification (RFID). In our proposed system we primarily attempted to create a sealed electronic box that will be used to protect question papers. We have an RFID scanner for security as well as the utilization of a buzzer and GSM in this mechanism, where is also a protection layer such as sending OTP to the authorized person. Finally, we will monitor the real time update of everything through a specific web panel server.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124808896","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 Real-Time Hardware Oriented State Feedback Sliding Mode Actuator Control for Engine Airpath System with Improved Transient Response","authors":"Rohith Kamath, Vivek Venkobarao","doi":"10.1109/CONECCT55679.2022.9865833","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865833","url":null,"abstract":"Authors in this paper have developed a model-based control technique for electromechanical actuator of engine air-path system for real-time application. With the present emission norms, there is a need for faster acting transient controllers. Enhanced numerical methods are needed to solve the gains of the controller for electromechanical actuator which are implicit in nature. In this paper the implicit nonlinear dynamic model of electromechanical actuator is solved using semi-implicit Euler technique portable to a real-time hardware. The simulation shows the model is stable and converging with faster transient response. Further, a sliding surface is designed by solving the state equation with actuator plate angle and angular velocity as state variables. A sliding mode control (SMC) with various sliding surfaces were analyzed. The chattering effects which is inherent to SMC is solved using a sigmoidal function. The developed model is used for predicting and controlling actuator position for airpath models in engine management system (EMS). The model results show accurate tracking of setpoint during transient as well as steady states. Authors also proposes to use this model in case of mild hybrid or full hybrid systems. The switching between the IC engine and hybrid mode can be achieved using a supervisory control which can be easily extended. The SMC applied to such systems increases the transient switching stability and reduces the impulsive load on the drivetrain.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129485628","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":"Automatic intestinal content classification using transfer learning architectures","authors":"Palak Handa, Nidhi Goel, S. Indu","doi":"10.1109/CONECCT55679.2022.9865727","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865727","url":null,"abstract":"Investigation of anomalies in capsule endoscopy (CE) is affected by an impairment of the mucosal frames with bubbles, debris, intestinal fluid, foreign objects, and chyme (food) etc., which can lead to a higher false-positive rate during manual and computer-aided analysis. An automatic intestinal content classification can help in checking the reliability and efficacy of computer-aided anomaly detection for CE frames. This paper presents three transfer learning (TL) architectures namely VGG16, InceptionResNetV2, and ResNet50V2 for automatic intestinal content classification using 1,67,486 and 140 CE patches and frames. A comparative analysis of the TL architectures has been done through various evaluation metrics like accuracy, precision, recall, specificity, loss, area-under-curve (AUC) and F1-score, test set evaluation, and feature maps. ResNet50V2 performed best among the three architectures and achieved an accuracy, precision, recall, specificity, and F1-score up-to 94.15%, 94.73%, 93.17%, 95.08%, and 93.95% respectively for CE frames. All three architectures efficiently classified ‘dirty’ test set CE frames and outperformed in comparison to the existing state-of-the-art works.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130035608","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}
R. Reyes, Myriam J. Polinar, Richardson M. Dasalla, Godofredo S. Zapanta, Mark P. Melegrito, R. R. Maaliw
{"title":"Computer Vision-Based Signature Forgery Detection System Using Deep Learning: A Supervised Learning Approach","authors":"R. Reyes, Myriam J. Polinar, Richardson M. Dasalla, Godofredo S. Zapanta, Mark P. Melegrito, R. R. Maaliw","doi":"10.1109/CONECCT55679.2022.9865776","DOIUrl":"https://doi.org/10.1109/CONECCT55679.2022.9865776","url":null,"abstract":"Authentication is a crucial aspect of data security. It is one of the most important issues of our time. As technology advances, our interactions with machines are becoming increasingly automated. As a result, for a variety of security concerns, the demand for authentication is rapidly expanding. As a result, biometric-based authentication has become extremely popular. It has a significant edge over other approach. However, because different ways are utilized to verify people, this incidence is not a substitute for a problem. Signatures were one of the first commonly utilized biometric traits for identifying people. This paper describes a method for simplifying signature verification by preprocessing signatures. It also included a novel deep learning-based method for detecting faked signatures. With an accuracy of 85-95 %, the proposed method detects forgeries.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130087357","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}