2023 4th International Conference for Emerging Technology (INCET)最新文献_第2页

Blockchain Applications in Disaster Management Systems b区块链在灾害管理系统中的应用

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170452

Dhruv Kolhatkar, Om Jain, Shrikar Patil, Priyanka N Shelke, Riddhi Mirajkar, Pawan Wawage

{"title":"Blockchain Applications in Disaster Management Systems","authors":"Dhruv Kolhatkar, Om Jain, Shrikar Patil, Priyanka N Shelke, Riddhi Mirajkar, Pawan Wawage","doi":"10.1109/INCET57972.2023.10170452","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170452","url":null,"abstract":"This project presents a novel blockchain-based disaster management system designed to streamline and optimize the response process to natural disasters. The system’s front-end is built using React, while its back-end runs on Flask. It enables different stakeholders, including aid organizations, government agencies, and relief workers, to access different parts of the system, enhancing collaboration, and increasing efficiency. The system comprises four main categories: missing people log, aid package distribution, critical areas, and refugee-relief camp mapping, each having multiple modules. The blockchain-based system allows for secure and immutable record-keeping of all critical data, enhancing transparency, accountability, and trust. Smart contracts are utilized to automate various aspects disaster management, enabling the rapid and efficient delivery of aid packages to affected areas. The decentralized nature blockchain allows for the efficient coordination of resources and effective management of aid distribution, reducing waste and ensuring that resources are delivered to those in need. The system’s unique features, such as tamper-proof data storage, automated processes, and decentralized coordination, provide an innovative solution to the challenges faced in disaster management and relief efforts.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115540208","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

Detecting Sarcasm in Reddit Comments: A Comparative Analysis 在Reddit评论中检测讽刺:一个比较分析

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170613

Babita Sonare, J. Dewan, Sudeep D. Thepade, Vedang Dadape, Tejas Gadge, Aditya Gavali

引用次数: 0

Smart Sensors in Industry 4.0 工业4.0中的智能传感器

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170282

Ayush Dodia, Pritesh Shah, R. Aravind Sekhar, M. D.

引用次数: 0

Brain Disease Classification along with Age Estimation from MRI 脑疾病分类与MRI年龄估计

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170133

S. Xavier, Eddula Sai Manoj, Bande Rohith, K. Abhilash, Velangini Amith Reddy G

{"title":"Brain Disease Classification along with Age Estimation from MRI","authors":"S. Xavier, Eddula Sai Manoj, Bande Rohith, K. Abhilash, Velangini Amith Reddy G","doi":"10.1109/INCET57972.2023.10170133","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170133","url":null,"abstract":"Deep neural networks can effectively be used to predict the type of brain disease caused to the patient and to estimate the age of the patient. This can be used for identifying the age related disorders. So, we are using MobileNet a machine learning algorithm, and Res Net deep convolutional neural network, by using transfer learning. In transfer learning these models are pre trained on larger data sets. These algorithms have been used to train brain MRI scans that have been divided into three classes [1] Normal, which has not been affected by any disease, [2] Mild Cognitive Impairment, and [3] Alzheimer disease. From the categorized photographs the age of the patient is determined easily. We are going to train our model by using MOBILENET and RESNET algorithms by using the dataset of MRI images along with the accompanying disease type.By using this knowledge, the model may identify patterns in the MRI data that point to particular brain illnesses and patient age. The trained model is further used to find the disease type and age of the patients. The outcomes demonstrate that the technique is capable of achieving high accuracy in tasks involving both disease categorization and age estimation. In general, the suggested techniques for categorizing brain disorders and determining age from MRI scans offer a viable answer for enhancing the effectiveness and precision of medical diagnosis and treatment planning for patients with brain diseases. By this model we can predict results in larger scale real time data in short period of time.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122836348","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

Sentiment Analysis using Multi-objective Optimization-based Feature Selection Approach 基于多目标优化特征选择方法的情感分析

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10169912

Deeplakshmi Sachin Zingade, Rajesh Keshavrao Deshmukh, D. Kadam

{"title":"Sentiment Analysis using Multi-objective Optimization-based Feature Selection Approach","authors":"Deeplakshmi Sachin Zingade, Rajesh Keshavrao Deshmukh, D. Kadam","doi":"10.1109/INCET57972.2023.10169912","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10169912","url":null,"abstract":"Polarity categorization affects sentiment analysis. Categorization is a fundamental knowledge discovery challenge. Categorization accuracy depends on data quality. Hence, data must be preprocessed to obtain meaningful information. In real-world applications, data is enormous, and many properties are duplicates or useless. The classification depends on feature selection. It finds the best data representation qualities. Feature selection reduces model training time. When unnecessary attributes are eliminated, models learn better. Combinatorial optimization makes feature selection harder. Feature selection balances decreasing features and enhancing classification performance. We propose two multi-objective optimization techniques for the feature selection. The particle swarm optimization (PSO) and Krill Herd Algorithm (KHA) are applied for optimal feature selection. The proposed model consists of key steps such as review pre-processing, multi-objective optimization-based feature selection, and supervised classification. The performance of both PSO-based and KHA-based models is evaluated using the two sentiment analysis datasets. The results show the efficiency of both models in terms of precision, recall, accuracy, and F1-score parameters.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"143 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114058986","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 FIR filter with Fast Adders and Fast Multipliers using RNS Algorithm 采用RNS算法设计快速加法器和快速乘法器FIR滤波器

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170321

Balaji M, P. N., G. P., Saif Ali Shaik, S. P, Sai Geetesh R

{"title":"Design of FIR filter with Fast Adders and Fast Multipliers using RNS Algorithm","authors":"Balaji M, P. N., G. P., Saif Ali Shaik, S. P, Sai Geetesh R","doi":"10.1109/INCET57972.2023.10170321","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170321","url":null,"abstract":"The primary driving force behind the creation of this work was to provide the design and implementation of a 4-tap, 8-tap, 16-tap, 32-tap, and 64-tap RNS (Residue Number System) based on efficient and excessive-overall performance FIR filter. RNS mathematics is a prized tool for theoretical investigation of the speed limitations of rapid mathematics. Some suggested solutions also include a few addition operations; however, using conventional adders will slow down operation and add to the amount of logic gates. So, to address the aforementioned concerns, Kogge-Stone Adder and Brent Kung Adder are being used to reduce delay and area and enhance performance as a whole. First, the multiplier is created using the RNS methodology. In which the Vedic multiplier's power dissipation is also minimized while the latency is shortened from 70% to 90%. In order to assess the findings, we are also using a simple adder and a simple multiplier. Using the Quartus 9.0 Simulation Tool, the combination of those methods results in a completely new structure with an excessively high speed and a small implementation area for the FIR filter.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114159231","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

Event Driven Fault Diagnosis and Partition Detection (ED-FDPD) Algorithm 事件驱动故障诊断和分区检测(ED-FDPD)算法

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170477

Hiteshi Aglawe, P. Bhore, Supriya Kelkar, Radhika Mahajan, Pooja Gambhir

引用次数: 0

Investigation of Switched Capacitor Multi Level Inverter Topology for Different Voltage Levels 不同电压水平下开关电容多电平逆变器拓扑研究

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170352

Saahithi S, Raghu C N, Sai Shashank K, Jyotheswara Reddy K, Ritesh Dash, V. Subburaj

引用次数: 1

Study on performance of MIMO and NOMA system MIMO和NOMA系统的性能研究

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170640

R. Kumaraswamy, Madhushree H K, Manushree S, Nischitha C, Priyanka C

{"title":"Study on performance of MIMO and NOMA system","authors":"R. Kumaraswamy, Madhushree H K, Manushree S, Nischitha C, Priyanka C","doi":"10.1109/INCET57972.2023.10170640","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170640","url":null,"abstract":"New technologies and techniques in the field of wireless communication have been developed in response to the growing demand for high-speed and reliable wireless communication services. The sixth generation (6G) of communication networks uses multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) to fulfil the high data rate need. Two cutting-edge methods that have attracted a lot of interest recently are MIMO and NOMA. In comparison to conventional single-antenna systems, MIMO, which employs multiple antennas at the transmitter and receiver, offers higher capacity and improved spectral efficiency. On the other side, NOMA can significantly boost system capacity and enhance user fairness since it uses power domain multiplexing to let multiple users share the same frequency band.This study compares MIMO with NOMA in-depth using a variety of performance criteria, including spectrum efficiency, channel prediction, and detection. The findings of this study suggest that both MIMO and NOMA have certain benefits and drawbacks, and that the decision between the two depends on the particular needs of the application situation.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129586511","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

Double-Frequency Multilevel Boost Converter 双频多电平升压转换器

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170134

M. Sindhuja, M. Marimuthu, S. Vijayalakshmi

引用次数: 0