2023 3rd International Conference on Intelligent Technologies (CONIT)最新文献_第5页

Blockchain-Enabled Healthcare Records Management: A Survey of Implementation Strategies 支持区块链的医疗记录管理:实施策略调查

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205912

Divya Kuntal, D. Vishwakarma

{"title":"Blockchain-Enabled Healthcare Records Management: A Survey of Implementation Strategies","authors":"Divya Kuntal, D. Vishwakarma","doi":"10.1109/CONIT59222.2023.10205912","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205912","url":null,"abstract":"Electronic Health Records (EHR) is a technology that enables users to monitor their medical data. Over several healthcare organizations, it maintains computerized records. Enterprise-wide data exchanges and other networking exchanges and technologies are used to exchange records. People today demand fast access to their medical records. The privacy and security of patient medical records are a concern because the health industry has rapid access to data. Thus, a blockchain-based solution can help to solve this problem. A blockchain network is used in healthcare to store and distribute health information amongst hospitals, diagnostic laboratories, pharmaceutical firms, and physicians. This study uses Blockchain Technology (BT) to analyze electronic healthcare data management. Insightful analysis of patient data is made possible by such a technology, which medical institutions can utilize. After an analysis of the survey of the relevant literature, a comparison of the many earlier studies is presented. Encryption, the keyword (KW) search, server and user verifiability, storage integrity, and dynamic updates are all aspects that have been compared. After examining. the author Tan et al., (2022) agrees with all the key features such as server-side verifiability, encryption, KW search, user-side verifiability, storage integrity, and dynamic updating","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114393463","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

Likelihood Maximization for Estimation of Time Delay in DSSS based 5G networks 基于DSSS的5G网络时延估计的似然最大化

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205663

Kalyana Srinivas Kandala, Chandrashekar Gande, Bhavana Mariserla, Uday Sree Paidipalli

{"title":"Likelihood Maximization for Estimation of Time Delay in DSSS based 5G networks","authors":"Kalyana Srinivas Kandala, Chandrashekar Gande, Bhavana Mariserla, Uday Sree Paidipalli","doi":"10.1109/CONIT59222.2023.10205663","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205663","url":null,"abstract":"Today's 5G technology connects to numerous people and fulfils their needs. Despite not being fully adopted everywhere in the world, it will undoubtedly overtake all other systems in a few years. In this research, we look at time delay in multipath propagations based on DSSS that can be used for 5G. It can be utilized more widely in the coded domain NOMA. Interference is a problem in multipath propagation, and many strategies are employed to solve it. First, a system is modelled and the multipath propagation and fading are formulated. For this system, Rayleigh fading is presumptive. Before correcting the algorithm, it must first estimate the time delay. In this research, multipath and multicarrier environments are used to estimate time delays. We estimate a Cramer Rao Lower Limit (CRLB) initially since it provides a baseline for comparison. It will be possible for you to estimate value close to the Cramer Rao Lower Limit by creating a Maximum Likelihood (ML) method (CRLB).It is used for multiple carriers before mean square error estimation (MC). The performance is estimated on a graph using the mean square error and SNR. Its effectiveness in DSSS-based MC is evaluated against that of the CRLB, and findings are provided.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114560120","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

Card Blitz: Memory Retention Football Card Matching Game 卡闪电战:记忆保留足球卡匹配游戏

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205763

Aadithyanarayanan M R, Abhinav Vengali, Aksh Jain, Akshat Parashar, Ashwini V. Jatti, Neha Chankhore

{"title":"Card Blitz: Memory Retention Football Card Matching Game","authors":"Aadithyanarayanan M R, Abhinav Vengali, Aksh Jain, Akshat Parashar, Ashwini V. Jatti, Neha Chankhore","doi":"10.1109/CONIT59222.2023.10205763","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205763","url":null,"abstract":"Games are viewed as entertaining activities that promote both mental as well as physical stimulus; They are very advantageous and necessary for kids' intellectual and mental growth. On the other hand, due to the focus and memorizing procedures involved in gaming, it plays a significant role in the growth of human memory. Finding equal pairings of cards among a variety of them is the goal of the memory game, which is a supplement to cognitive development in people. This paper presents an internet web browser-based football-card matching memory game for improving memory retention and cognitive development of children as well as for entertainment. There are several web-based games available out there, and the proposed game also draws inspiration from them. The proposed paper makes an effort to keep user interaction clear and easy because there are not many steps needed to finish a task in the game. The primary goals of the game are to entertain while also enhancing various mental abilities. Many players are drawn to these games because they want to test their memory retention abilities on attractive graphic interfaces. Target users of the game are primarily college and high school kids, but also intrigued grownups. The game is developed using HTML, CSS and Java Script. It consists of a single player interface where the player is required to match the cards of football players under a time limit. In game animations have also been applied to indicate matching cards, flipping of cards along with victory or game-over messages. The components of the proposed web-game are detailed, and the interface of the game is also demonstrated.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117024496","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

Design of a Stacked Circular Differential Microstrip Antenna for operating frequency of 2.45 GHz 工作频率为2.45 GHz的堆叠圆形差分微带天线设计

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205547

N. Kumar, R. Satapathy, K. P. Ray

引用次数: 0

Predicting Breast Cancer An Evaluation of Machine Learning Approaches 预测乳腺癌:对机器学习方法的评估

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205711

Shreshtha Mehta, Priyanshu Rawat, Madhvan Bajaj, Satvik Vats, Vikrant Sharma, V. Kukreja

{"title":"Predicting Breast Cancer An Evaluation of Machine Learning Approaches","authors":"Shreshtha Mehta, Priyanshu Rawat, Madhvan Bajaj, Satvik Vats, Vikrant Sharma, V. Kukreja","doi":"10.1109/CONIT59222.2023.10205711","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205711","url":null,"abstract":"A disease in which the cells of the breast have uncontrollable growth or cancer cell growth in the breast is known as breast-related cancer. There are various types of uncontrollable growth. In women, it is most common cancer which accounts for around 25 percent of all cancers diagnosed in women. According to the 3rd of February 2023, departmental news of WHO, every year, more than 2.3 million new instances of breast cancer are identified. Breast cancer is one of the major causes of female deaths in 95% of countries. Early diagnosis of BC can decrease the death rate drastically as it is a curable disease when diagnosed in early stages. The classification of diagnosed breast cancer into malignant or benign tumor is a major field of research at present. Use of ML in diagnosis and classification of breast cancer is widely recognized due to its powerful feature in detection from BC datasets. This paper will evaluate various ML techniques such as regression, support vector machines (SVMs), DTs naive Bayes and random forest in the classification and diagnosis of breast cancer. We have used Wisconsin breast cancer diagnosis (WBCD) dataset for paper. A health care system model is also presented along with this paper.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122090529","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

Copyright Page 版权页

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/conit59222.2023.10205669

引用次数: 0

A 3.3kW Modified LLC Resonant Converter for Grid-Tied EV System Under Wide Voltage Range 宽电压范围并网电动汽车3.3kW改进型LLC谐振变换器

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205690

M. Ansari, G. Yadav, Mukhtiar Singh

{"title":"A 3.3kW Modified LLC Resonant Converter for Grid-Tied EV System Under Wide Voltage Range","authors":"M. Ansari, G. Yadav, Mukhtiar Singh","doi":"10.1109/CONIT59222.2023.10205690","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205690","url":null,"abstract":"This study describes the design of a single-phase, two-stage, On-Board charger (OBC) for light loads that may function in the Grid to Vehicle (G2V) operation mode. The first stage AC-DC converter of EV (Electric Vehicle) charger plays a very important role in supporting the grid power factor unity and the H-bridge inverter is regulated for this purpose using a Second Order Generalised Integrator (SOGI) control approach, which exhibits a stable steady state as well as excellent dynamic behaviour. To maintain the international electrotechnical Commission (IEC)-61000-3-2 standard for the power quality PQ of the grid throughout operations. Additionally, the design’s performance has been verified in the presence of Sag and Swell grid voltage and diverse operating conditions. The second stage is the Modified LLC converter is used for DC-DC conversion, this converter is capable of achieving Zero Voltage Switching (ZVS) for all switches. The modified LLC converter uses fewer switches than a conventional LLC converter, which greatly reduces reverse power and turn-off losses while also allowing for significantly higher Voltage conversion. A Proportional Integral controller is implemented to control the DC-DC converter’s switches. Using a PWM controller with a steady battery current, the charging current and voltage of the battery are tracked and controlled. For the 3.3kW system ratings, an extensive simulation analysis is performed. To examine the grid’s reactivity, an inductive load additionally has been attached to the grid.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117220791","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

Design and Implementation of FinFET 12-T SRAM cell for low power Applications 用于低功耗应用的FinFET 12t SRAM单元的设计与实现

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205733

Pavankumar Bikki, Anuvala Setty Vlp, Sai Poojitha, rd Akula, N. Sree, Linaa Chowdary

引用次数: 0

An improved LinkNet-based approach for Retinal Image Segmentation 基于linknet的视网膜图像分割改进方法

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205813

Srijarko Roy, Ankit Mathur, S. Velliangiri

{"title":"An improved LinkNet-based approach for Retinal Image Segmentation","authors":"Srijarko Roy, Ankit Mathur, S. Velliangiri","doi":"10.1109/CONIT59222.2023.10205813","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205813","url":null,"abstract":"The characteristics of Retinal Blood Vessels helps identify various eye ailments. The proper localization, extraction and segmentation of blood vessels are essential for the treatment of the eye. Manual segmentation of blood vessels may be error-prone and inaccurate, leading to difficulty in further treatment, and causing problems for both operators and ophthalmologists. We present a novel method of semantic segmentation of Retinal Blood Vessels using Linked Networks to account for spatial information that is lost during feature extraction. The implementation of the segmentation technique involves using Residual Networks as a feature extractor and Transpose Convolution and Upsample Blocks for image-to-image translation thereby giving a segmentation mask as an output. The use of Upsample Blocks arises from its ability to give noise-free output while 18 layered Residual Networks using skip connections are used in the feature extraction without the vanishing gradient issues. The main feature of this architecture is the links between the Feature Extractor and the Decoder networks that improve the performance of the network by helping in the recovery of lost spatial information. Training and Validation using the Pytorch framework have been performed on the Digital Retinal Images for Vessel Extraction (DRIVE) Dataset to establish quality results.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124649827","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

Secure E-Voting System 安全电子投票系统

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205632

Austin Mathew, Hrushikesh Satam, Saumya Tiwari, Sudhanshu Thorve, Arti Sawant

引用次数: 0