Shivansh Awasthi, P. Kaushik, Prof Vikas Kumar, Ankur Gupta
{"title":"Comparative Analysis of TCAD augmented ML Algorithms in modeling of AlGaN/GaN HEMTs","authors":"Shivansh Awasthi, P. Kaushik, Prof Vikas Kumar, Ankur Gupta","doi":"10.1109/DELCON57910.2023.10127296","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127296","url":null,"abstract":"In this study, a computer-aided design (TCAD) supported machine learning framework is built to predict the intrinsic parameters of GaN HEMT, such as V<inf>TH</inf> (Threshold Voltage) and g<inf>m</inf> (Transconductance). TCAD was used to generate the training data set constituting the I<inf>D</inf>-V<inf>GS</inf> characteristics of the GaN HEMT. This is achieved by changing multiple input parameters (e.g. the Al mole fraction (x), gate metal work function, AlGaN barrier thickness and gate length). We deployed numerous ML algorithms and an ANN (artificial neural network) to predict the V<inf>TH</inf> and g<inf>m</inf> of GaN HEMT. We compared the performance of these ML algorithms and found that the boosting and ensemble algorithms provide better results in terms of accuracy. We showed that Random Forest and Gradient Boost were most effective in predicting V<inf>TH</inf> with an R<sup>2</sup> value of 0.99 each, and for g<inf>m</inf> prediction, Gradient Boost was most effective with an R<sup>2</sup> of 0.92.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116422139","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}
Baljinder Singh Heera, Anjali Sharma, Varsha Lohani, Y. N. Singh
{"title":"Fragmentation-Aware RCSA Algorithm for Fair Spectrum Allocation in SDM-EON","authors":"Baljinder Singh Heera, Anjali Sharma, Varsha Lohani, Y. N. Singh","doi":"10.1109/DELCON57910.2023.10127427","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127427","url":null,"abstract":"Spectral and Spatial fragmentation in Space Di-vision Multiplexed-Elastic Optical Networks (SDM-EON) leads to unfair bandwidth allocation among connection requests with heterogeneous data rate demands. We present a core reservation-based fair bandwidth provisioning Routing, Core and Spectrum Allocation (RCSA) algorithm for heterogeneous bandwidth traffic, ensuring efficient utilization of resources for an uncoupled Multi-Core Fiber based SDM network. Simulation experiments confirm the better performance of the proposed algorithm compared to the benchmark algorithm in terms of bandwidth blocking probability and fairness.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127011652","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 Observation and Detection of Faults for Solar Photovoltaic Systems with Multilevel Inverter Topology","authors":"S. Thakur, K. Sharma, Akhil Gupta","doi":"10.1109/DELCON57910.2023.10127357","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127357","url":null,"abstract":"The incorporation of custom power devices into solar Photovoltaic (PV) systems is promising because the strength of these devices such as improving power stability, providing voltage and current ride-through, and regulation of power flow is needed in the system. This work builds a Simulink model for a solar PV Maximum Power Point Tracking (MPPT) controlled system using a cascaded H-bridge bridge (CHB) Multilevel inverter (MLI) with bidirectional switches that can synthesize numerous output voltage levels. Failure recognition and determination of conceivable failure source driving to the total or halfway loss of efficiency in a lattice-associated PV system. The analytic technique is important for the checking system permitting, at the same time, displaying and reproducing the entire framework and factors estimations progressively. The calculation of faults is based on the analysis of replicated and estimated yields by breaking down the faults that are present in the system, while the determination of the type of losses is finished by analyzing and contrasting the amount of errors deviation of both Direct Current (DC) and voltage regarding asset of errors limits evaluated using a free issue system. Analyze the stability indices during transient conditions at load or grid side and mitigate various Power Quality (PQ) issues due to an unsymmetrical fault during transient conditions by employing a custom power device with the proposed system.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134044731","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":"Cloud Computing: Resource Management, Categorization, Scalability and Taxonomy","authors":"Aryan Manchanda, Arshdeep Kaur, Amanpreet Kaur","doi":"10.1109/DELCON57910.2023.10127319","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127319","url":null,"abstract":"Cloud Computing well known for its services over internet. It provides a storage space to user for all kind of services. This model based on the resource sharing concept. In the Cloyd computing shared resources can be infrastructure based, software or Application Based over the network. All services provided by Cloud to user that is only requirement or demand based for single user or any organization. Over the internet, multiple user access internet at same time and Cloud Service provider works well to provide services to individual. Cloud Service provider applies Resource management scheme to all individual because after applying that each user can utilize the service benefits as per their requirements. Service Provider having focus on highest throughput obtained from the system as well as increase the profit. Different steps taken by the provider to optimize the system in proper way. Optimization technique used by the system if only if all available resources properly managed. Main reason to focus on resources Management because the resources are limited. In this paper authors focus on Classification and Optimization of cloud computing resources. Author mentioned a literature survey of Cloud Computing algorithms and a comparative study of various other resource management algorithms and has been provided.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133867786","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":"Classification of Potholes using Convolutional Neural Network Model: A Transfer Learning Approach using Inception ResnetV2","authors":"Saravjeet Singh, Rishu Chhabra, Aditi Moudgil","doi":"10.1109/DELCON57910.2023.10127302","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127302","url":null,"abstract":"Rough and damaged roads give poor ride quality which leads to poor transport experience, high travel cost, physical loss to vehicles and passengers, and high vehicle maintenance cost. Therefore, to plan a safe and optimal road trip, prior information of road conditions is most important. Poor road conditions are also responsible for traffic accidents. There exist many road conditions and potholes detected techniques and these techniques can be categorized into two basic categories named as vision-based techniques and vibration-based techniques. In this paper vision-based technique is used for road image classification. For the classification, a transfer learning-based Inception ResnetV2 transfer learning-based Convolutional Neural Network model is used. The selected model is trained and tested on 3211 road images. These images were collected from the public data available on the internet and captured using the camera. Data is classified into three categories plane road, large pothole, and small pothole. The accuracy of the classification is calculated in terms of precision, recall, F1-score, support, and accuracy percentage. According to performed analysis, the Inception ResnetV2 transfer learning-based Convolutional Neural Network model attained maximum accuracy of 94.42 percent with a 0.933 precision value. The performance of the model during the classification process is evaluated using the training and testing loss. Further, the accuracy of the proposed model is compared with Convolution Neural Network and Support Vector Machine using the same dataset. This paper also provides a comparative analysis of the proposed model with other published work.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044419","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}
V. Khemchandani, Mohd Anas Khan, Mohd Usman Barkaa, Sushil Chandra, N. M. Wadalkar
{"title":"Real Time Human Assisted Path Planning for Autonomous Agent using VR","authors":"V. Khemchandani, Mohd Anas Khan, Mohd Usman Barkaa, Sushil Chandra, N. M. Wadalkar","doi":"10.1109/DELCON57910.2023.10127333","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127333","url":null,"abstract":"Path Planning is a term used in robotics that comprises motion planning approaches that can acclimate to real-time changes in the environment. Many problems in various fields are solved by proposing path planning which is widely applied in partially and unknown structured environments. Autonomous systems made up of mobile agents have established themselves as effective, durable, and adaptable instruments for military (such as search and rescue missions), commercial (such as Google self-driving cars), and exploration (such as space robots). When a target area needs to be rapidly searched (observed) by several military units (scouts, UAVs, UGVs), it is a very difficult issue for the defense to solve. This work is done considering problems faced by the defense in performing various operations in remote areas where path planning is essential. The main goal is to help defense to provide training in virtual reality and a better understanding of situations and to help making decisions in difficult times and increase performance. To overcome the risk and limitations this game is introduces actual (Real World) scenarios and provide the facility to present the whole operation virtually and perform various task remotely. It also includes situations like traffic light systems, AI car navigation algorithms, Swarm of vehicles and Rescue operations. Training in a virtual environment brings down the cost drastically because the replicas of simulate vehicles and tools that are simulated cost way less than actual inventory.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115646069","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":"Implementation of Logic Gates using Charge Plasma Based Tunnel FET","authors":"Nikita Mahoviya, Prabhat Singh, Dharmendra Singh Yadav","doi":"10.1109/DELCON57910.2023.10127417","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127417","url":null,"abstract":"For digital applications, researchers are looking into tunnel field-effect transistors (TFETs) as a possible substitute for MOSFETs. TFETs offer several unique qualities that can be used in digital applications. Utilizing two-dimensional device simulations, a single DGTFET is presented in this paper to implement various logic functions. It is demonstrated that by biasing the two gates individually, DGTFET can be used to implement logic operations like OR and AND. Using the overlap of gate-source region (Lov) and opting the optimum silicon wafer thickness are crucial to getting distinct logic functions from a DGTFET. These applications show that it is possible to compactly create logic functions by taking advantage of the special TFET characteristics namely, ambipolar nature and tunneling’s dependence on gate controlling capability over channel region.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"24 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114125868","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 Error Tolerant Subtractor using Truncation Approximation Technique","authors":"Zarak Bhat, S. Loan, N. Afzal","doi":"10.1109/DELCON57910.2023.10127573","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127573","url":null,"abstract":"In this paper, utilization of a potential method for the design of energy-efficient Very Large Scale Integration (VLSI), specifically for error-resistant applications, such as multimedia and signal processing is taken into consideration. Approximate designing of circuits still produces significant, quick results while consuming little energy. An approximate subtractor is proposed based on the approximate computing using truncation technique of certain part of the circuit for simplification. This paper will discuss the approximate error tolerant subtractor (ETS) design method that will be used in applications like image processing which withstand the slight quality loss. This building block is known to achieve better results in the parameters such as power, delay, power delay product (PDP), and transistor count. This can be used as a basic block in dividers that are used in DSP systems which can tolerate certain amount of errors and help in faster processing of various FFT and DFT processes.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125271869","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":"Nanocrystalline Heterojunction Device Fabrication and Characterization using CdSe","authors":"C. Mehta","doi":"10.1109/DELCON57910.2023.10127410","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127410","url":null,"abstract":"This article describes the synthesis, fabrication, and analysis of two heterojunction devices based on low-cost CdSe nanocrystalline thin films that have undergone solution processing. A schottky diode is created utilizing a PVA-capped n-CdSe thin film on an aluminium substrate, and a diode structure of CdSe/InSe/Al is obtained on indium coated glass substrates using the chemical bath deposition approach. Diffraction analysis and TEM studies reveal that the deposited thin films have a zinc mix structure that is nanocrystalline in nature. The response of InSe/CdSe diode has been investigated using forward bias current measurements at room temperature under dark and illumination conditions. Accordingly, ideality factor, built-in voltage, breakdown voltage, saturation current and breakdown current of the diode has been calculated. Acoustical and capacitance-voltage properties of Al/PVA:n- CdSe schottky diode has been studied at room temperature. Under reverse bias voltage, it has been possible to calculate a number of characteristics, including carrier concentration, built-in voltage, barrier height, and depletion layer width.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122933867","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":"Engineering Education and the Use of Virtual Reality: Idea and Possibility","authors":"Ridhi Jindal, S. Mittal, Arnav Bansal","doi":"10.1109/DELCON57910.2023.10127272","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127272","url":null,"abstract":"Prior research on using Virtual Reality and digital prototyping in the creation and evaluation of new items has shown that VR shortens development times and costs while boosting student engagement and creativity. Industries have made substantial use of VR and digital prototyping for product design and usability testing. Numerous studies have sought to investigate how VR affects cooperation, retention, engagement, and motivation in the setting of engineering education. Using VR in conjunction with a project-based learning strategy is hypothesized to increase learning outcomes for the course and foster effective communication while facilitating the accomplishment of desired objectives in the engineering design project.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121501020","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}