2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)最新文献_第2页

Effectiveness of Game Based Learning in Problem Based Learning 基于博弈的学习在基于问题的学习中的有效性

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127288

P. Hegade, Omkar Patil, A. Shettar

{"title":"Effectiveness of Game Based Learning in Problem Based Learning","authors":"P. Hegade, Omkar Patil, A. Shettar","doi":"10.1109/DELCON57910.2023.10127288","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127288","url":null,"abstract":"Problem based learning has been adapted by various universities and inscribed with perspectives based on the demographic challenges. The method known to be effective for producing lifelong learners and improve cognitive skills, has been experimented on several facades. Problems, being major drivers in the process, have been researched to design and the deliberate the most effective ways. Through this paper we propose a game based learning model which can be used as problems in a problem based learning framework. In contrast to learning activities supplied using more old-fashioned didactic methodologies, this strategy can be used to engage a student through meaningful activities. This paper presents a model to use game in problem based learning followed by a case study and its analysis. Giglane game was used in the process to analyze the effectiveness with respect to number of stakeholders and incidents reported. The method is validated for effectiveness and promises to be an effective strategy for reflections and self-directed learning attributes. The method directly supports the decomposition structure from the computational thinking methodology which can be combined with the problem based learning process.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"21 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":"131775726","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}

引用次数: 0

Back Radiation Reduction in a UWB Antenna using Metamaterial Surface for Wireless Communication Devices 无线通信设备用超材料表面减少超宽带天线的背辐射

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127229

Deepa Negi, Kanwarpreet Kaur, Aarti Bansal, Bhushan Dua, Neelima Singh, Sachin Dhyani

{"title":"Back Radiation Reduction in a UWB Antenna using Metamaterial Surface for Wireless Communication Devices","authors":"Deepa Negi, Kanwarpreet Kaur, Aarti Bansal, Bhushan Dua, Neelima Singh, Sachin Dhyani","doi":"10.1109/DELCON57910.2023.10127229","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127229","url":null,"abstract":"In this a 3*3 array of dual band AMC cells having dimensions of 15*15 is designed to reduce the backward radiations of a UWB antenna of size 35.5*33 . Each slot on the unit cell plays a key role in modelling the two desired frequencies of 4.7 and 9.9 GHz. The proposed AMC structure consists of a square patch loaded with a concentric ring and plus shaped slot in the center. The AMC behavior i.e. zero reflection phase point is observed at 4.7 and 9.9 GHz. The designed AMC structure is used as a reflecting layer to enhance forward radiations and thus reducing the backward radiations. Both structures (UWB antenna and dual band AMC structure) used FR-4 material with dielectric constant 4.4 and thickness 1.6 mm. As the designed UWB antenna already has satisfactory bandwidth (14.5 GHz) and gain (8.2 dB) values, therefore focus is given to reduce the back radiations of proposed antenna by using grounded AMC structure. The array size is fixed to be 3*3 whereas the air gap (d) between the two structures is varied and its corresponding effect on antenna results is studied. The proposed antenna is designed and simulated using computer simulation technology (CST) microwave simulation software.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"39 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":"133754965","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}

引用次数: 0

Impactful Study of a Counter-doped Pocket on a Charge Plasma Tunnel FET Biosensor 反掺杂口袋对电荷等离子体隧道场效应管生物传感器的影响研究

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127287

P. Goma, A. Rana

引用次数: 0

Real-time Skin Disease Prediction System using Deep Learning Approach 基于深度学习方法的皮肤病实时预测系统

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127569

Sameer Dev Sharma, Sonal Sharma, Abhishek Pathak, Nachaat Mohamed

{"title":"Real-time Skin Disease Prediction System using Deep Learning Approach","authors":"Sameer Dev Sharma, Sonal Sharma, Abhishek Pathak, Nachaat Mohamed","doi":"10.1109/DELCON57910.2023.10127569","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127569","url":null,"abstract":"Skin illness affects a large percentage of the world's population. The proposed study proposed a deep learning-based model for skin disease predication, In the traditional system it was time taking to predict the result and the accuracy is not accurate, Different machine learning methods can be used to classify skin disorders. In this study, we used machine learning algorithms to categories skin disease classes using ensemble approaches, and then used a feature selection method to compare the findings produced. Specialist can detect the disease type with the help of a web-based framework which is developed in Python Django frame- work. In the proposed study, we present a novel approach to detect the skin disease. Here we have used Support Vector Machine (SVM) Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) classifiers to identify the disease. Specialist need to upload the image and Deep learning algorithms will predict the disease and display the accuracy. The proposed model is easy to use, but it also provides a higher level of accuracy than previous methods. As a result of this model, we were able to achieve a 95% accuracy rate in the diagnosis of various skin conditions. The proposed system provides a state of art accuracy for early skin disease detection","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"13 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":"117054718","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}

引用次数: 1

Numerical Simulations of FASnI3 based Solar Cell with the Variation of Absorber Layer Thickness 吸收层厚度变化下FASnI3基太阳能电池的数值模拟

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127484

Savita Rawat, Savita Kashyap, Jaya Madan, R. Pandey

引用次数: 1

Performance Analysis of Rules Generated Hybrid Optimization Algorithm for Resource Allocation and Migration in the Cloud Environment 云环境下资源分配与迁移规则生成混合优化算法性能分析

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127413

Nidhi Chauhan, Navneet Kaur, K. S. Saini

{"title":"Performance Analysis of Rules Generated Hybrid Optimization Algorithm for Resource Allocation and Migration in the Cloud Environment","authors":"Nidhi Chauhan, Navneet Kaur, K. S. Saini","doi":"10.1109/DELCON57910.2023.10127413","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127413","url":null,"abstract":"The cloud service model is generally a framework that provides three types of services to the client. These three commonly used models for delivering cloud computing services are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The IaaS model is sometimes referred to as the Hardware as a Service (HaaS) model. One of the most influential characteristics of IaaS is to have higher scalability in sub-service provisions. Dynamic and flexible, along with having automated administrative task operation ability. For any cloud computing system, Infrastructure as a Service (IaaS) is typically the foundational layer, providing access to physical servers, virtual machines (VMs), and other resources necessary to support running applications. In the present scenario, the global cloud data centers are facing a relatively higher number of issues like lacking proper capacity planning along with adequate capacity management, reducing the cost and reducing the energy stages or, on the other hand, increasing energy efficiency. This study aims to propose a resource allocation and migration technique for improving energy efficiency. The proposed study will be considering the Rule Generated Hybrid Optimization technique. The results indicated that the suggested approach outperform Spark Lion Whale Optimization when energy consumption and resource utilization was considered.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"71 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":"127375160","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}

引用次数: 0

MOS Current Mode Logic (MCML) based techniques for D-Flip Flop in 180 nm Technology using LTspice 基于MOS电流模式逻辑(MCML)的180纳米d触发器技术

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127334

Ajay Dhull, C. Vinitha, Ashok Mittal

引用次数: 0

Identifying Factors that Influence Student’s Participation in an Online Discussion Forum 确定影响学生参与在线论坛的因素

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127471

Mohammed Tayyab Shaikh, Unnati Koppikar, V. M.

{"title":"Identifying Factors that Influence Student’s Participation in an Online Discussion Forum","authors":"Mohammed Tayyab Shaikh, Unnati Koppikar, V. M.","doi":"10.1109/DELCON57910.2023.10127471","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127471","url":null,"abstract":"Discussion forums are used frequently in online learning. They are effective tools to encourage critical thinking and analytical reasoning and motivate students to participate in discussions. By actively participating in discussion forums by reading their peer’s posts and comments, students can increase their understanding by clarifying vague concepts. Due to the COVID-19 epidemic, educational institutions transitioned to an online teaching method, which was not widely used earlier. The dynamism of the lively discussions that would take place in the offline classes was lost during this time. As a result, many instructors use discussion boards to keep their students engaged in a specific topic and encourage them to debate, evaluate, and criticize one another’s ideas. The social network analysis (SNA) method examines how students engage in an online asynchronous discussion forum. The research study is based on a course called \"Engineering Exploration\". During the COVID-19 pandemic’s disruptions, this first-year engineering course was taught online. In order to engage in a case study for the Engineering Ethics module, students were invited to post their views and thoughts about the case study in the discussion thread and were informed to comment on their peer’s posts. The research is based on information gathered from the discussion board. Through this study, the authors want to identify the effect of different parameters such as gender, stream, or grades on students’ participation in the discussion forum. The course instructor will gain significant insight from the proposed work on integrating social network analysis on discussion boards. This research study will aid in understanding the network structures of learners’ interactions.","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":"130203187","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}

引用次数: 0

A Review on Preprocessing, Segmentation and Classification Techniques for Detection of Skin Cancer 皮肤癌检测的预处理、分割和分类技术综述

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127546

Sonam Khattar, Ravinder Kaur, Ganesh Gupta

{"title":"A Review on Preprocessing, Segmentation and Classification Techniques for Detection of Skin Cancer","authors":"Sonam Khattar, Ravinder Kaur, Ganesh Gupta","doi":"10.1109/DELCON57910.2023.10127546","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127546","url":null,"abstract":"About 2 to 3 million new cases of skin cancer are identified every year, making it one of the most common forms of cancer. Skin lesions are the result of anomalous cell reproduction on the skin, and examining them manually is a tough, instinctive, and arduous task. Computer-Aided Diagnosis (CAD) technologies allow practitioners to become more proficient in their investigative abilities while at the same time reducing the amount of time necessary to carry out an appropriate diagnosis. However, the restricted accessibility of several advanced computer-aided diagnoses (CAD) systems that are easier to use has resulted in a significant amount of uncertainty over the rapid, non-invasive, and reliable detection of diseases. According to the existing literature, not nearly enough effort has been put into creating CAD systems for skin lesions. With a primary focus on pre-processing, segmentation, and classification of skin lesions in dermoscopic images, the goal of this article is to give a complete and critical bibliography addressing the published literature on this topic. The purpose of this paper is to provide detailed yet necessary references. The main goal is to give researchers who are new to this field and don't know enough about it to understand all of its technical details an overview. In addition, it identifies some of the research challenges that can be identified in the literature and need to be addressed by future researchers to investigate innovative pathways in this area.","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":"130575476","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}

引用次数: 1

Comparative Study of Plier and Moon Shape Antenna for Best Bandwidth 钳形天线与月形天线最佳带宽的比较研究

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127401

Aditya Tiwari, Kanchan Cecil

{"title":"Comparative Study of Plier and Moon Shape Antenna for Best Bandwidth","authors":"Aditya Tiwari, Kanchan Cecil","doi":"10.1109/DELCON57910.2023.10127401","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127401","url":null,"abstract":"Due to their appealing qualities and potential for allowing portable, wireless communication and sensing that is light, flexible, affordable, and easy to use, wearable antennas have gained a lot of interest in recent years. When applied to various body parts of a human, such antennas must conform, hence they must be implemented with flexible materials, with a low-profile design. In the end, these antennas are required to have the ability to function in close proximity to a human body with the least amount of deterioration. Certain conditions make the design of wearable antennas difficult, especially when taking into account factors like their size compactness, body coupling and structural deformation effects, and complexity of manufacture and precision. Although their severity varies slightly between applications, the majority of these problems are present throughout the setting of body-worn implementation.A Plier Shape Novel wearable antenna for wireless communication was designed and simulated in CST software to achieve a body area network with better bandwidth and a resonant frequency of 3.224 GHz. The materials used for the textile are denim as the substrate of the antenna with a dielectric constant of 1.7 and the conductive element as copper tape. The board size is 61*51mm2. The bandwidth of the proposed antenna is 129.72% for the frequency range of 2.6 GHz to 12.2 GHz, which is considered to be the optimal bandwidth for the antenna.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"36 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":"123198634","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}

引用次数: 0