2023 2nd International Conference for Innovation in Technology (INOCON)最新文献_第3页

Object Detection System in Adverse Weather Conditions Using Ann 基于人工神经网络的恶劣天气条件下目标检测系统

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101071

Jeberson A Joshua, L. Narasiman, V. Yogeshwaran, M. Anand

引用次数: 0

An Experimental Analysis on Mitigating the Effects of Malicious Nodes in a Federated Learning System 减轻联邦学习系统中恶意节点影响的实验分析

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101043

B. Chempavathy, Stephen K Shibi, B. Sundaram, Sathish Kotturi, Shushank Balaji Reddy

引用次数: 0

Discrete Teaching Learning-Based Optimization for Multi-Hole Drilling

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101171

V. Rathod, S. Kadam, O. P. Yadav, A. Rathore

引用次数: 0

An Efficient Framework for classifying Cancer diseases using Ensemble machine learning over Cancer Gene Expression and Sequence Based Protein Interactions. 基于癌症基因表达和基于序列的蛋白质相互作用的集成机器学习的癌症疾病分类的有效框架。

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101354

Prabhuraj Metipatil, P. Bhuvaneshwari, S. M. Basha, S. Patil

{"title":"An Efficient Framework for classifying Cancer diseases using Ensemble machine learning over Cancer Gene Expression and Sequence Based Protein Interactions.","authors":"Prabhuraj Metipatil, P. Bhuvaneshwari, S. M. Basha, S. Patil","doi":"10.1109/INOCON57975.2023.10101354","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101354","url":null,"abstract":"In recent years, a significant number of deaths worldwide have been due to cancer diseases. Analysis of Microarray gene expressions and protein interaction data facilitates early cancer identification. The accurate prediction of information for thousands of genes is made possible by using DNA microarray technology. Protein-Protein Interactions (PPIs) are the crucial protein activities involved in the cell cycle that replicates the DNA and cellular signaling. Determining whether a pair of proteins interacts is crucial for diagnosing an illness in molecular biology is therefore important. In existing machine learning classifiers have two-class problem that is limited and only be used to solve binary class problems, additionally, they can be prone to overfitting, as the classification framework may also become too specialized to the training data and not generalized to the varied data. To overcome this problem, this paper proposes an ensemble machine learning technique; ensembling combines the strengths of both classifiers that allow more robust and accurate framework. The better combination of both Support Vector machine and Naïve Bayes ensemble provides better performance in terms of various performance parameters. The proposed SVM-NB Ensemble classifier outperforms the existing classifiers by 15-20% over various performance parameters like classification accuracy, time taken for classification, precision, recall, and F-measure. The results were drawn by comparing the proposed ensemble (SVM+NB) classifier with the existing most applied classifiers like Logistic Regression (LR), Support Vector Machine and Naive Bayes techniques.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125992396","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

Firmware-based approach for efficient Power Management in Mobile Platforms 基于固件的移动平台高效电源管理方法

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101057

B. R. Harsha, P. George, Poornima Tom, Vijayamahantesh Hiremath, Krishna P Bhat D, Deepti Deshatty

引用次数: 0

Improved BEB Algorithm for Computer Network Optimization 计算机网络优化中的改进BEB算法

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101237

Huihui Wang, Jianhua Gu, Liling Xia

引用次数: 0

Error Modeling Analysis of Parallel Robot Based on Improved Fish Swarm Algorithm 基于改进鱼群算法的并联机器人误差建模分析

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101208

Long Chen

{"title":"Error Modeling Analysis of Parallel Robot Based on Improved Fish Swarm Algorithm","authors":"Long Chen","doi":"10.1109/INOCON57975.2023.10101208","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101208","url":null,"abstract":"The parallel robot has the characteristics of good stiffness, stable structure, strong bearing capacity, high motion accuracy, and easy inverse solution of the parallel mechanism, which is conducive to online real-time calculation of the robot. Therefore, the parallel robot makes up for the shortcomings of the serial robot and expands the application range of the robot. In order to improve the accuracy of 6-PRRS parallel robot, based on the kinematics analysis of 6-PRRS parallel robot, this paper studies the error analysis and calibration method of the parallel robot. Fish swarm algorithm is a simple and effective method for parallel robot control. Through the joint simulation and verification analysis of Adams and Matlab, the influence of the errors of the parallel mechanism and the series mechanism on the end position is verified, so as to reveal the coupling error characteristics of the 5-DOF series-parallel mechanism. Through the experimental research on the end position accuracy of the prototype and the comparison with the simulation data of the 5-DOF series-parallel mechanism, the feasibility of the theoretical research scheme is obtained, so as to transform the theoretical research results into practical engineering applications.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130074175","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

Robust Multi-Bio-Metric Authentication Framework in Face and Iris recognition 人脸和虹膜识别中的鲁棒多生物特征认证框架

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10100996

Shagufta Md. R. Bagwan, G. Gupta, Somnath B.Thigale

{"title":"Robust Multi-Bio-Metric Authentication Framework in Face and Iris recognition","authors":"Shagufta Md. R. Bagwan, G. Gupta, Somnath B.Thigale","doi":"10.1109/INOCON57975.2023.10100996","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10100996","url":null,"abstract":"Compared to more traditional methods of verification, Bio-metric systems provide a greater level of safety for a wider range of uses (like pin, passwords etc.). “Bio-metric systems have broad social and practical applications. Among them include authentication for computers, attendance tracking for businesses, financial transactions, safeguarding private information, controlling access to buildings and airports, and so on. A person’s identity may be confirmed via the use of both their physical characteristics and their behavioural patterns thanks to the bio-metric system. Bio-metric systems and their effects on modern society are discussed in this article. While single-trait bio-metric user identification is widely utilised at the moment, it does not offer sufficient authentication for highly secure applications. To solve these issues, researchers have developed multi-modal bio-metric systems. User authentication in a multi-modal bio-metric system may be based on a wide variety of factors, including both physical and behavioural characteristics. Additionally, age, height, hair colour, eye colour, gender, and other “soft” bio-metric features are also employed. Even the most subtle Bio-metric methods aren’t without their flaws. Soft bio-metric iris and facial features were used to create the algorithm for the paper work multi-modal bio-metric system.: The research presented in this article enhances user authentication and security without sacrificing speed.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450957","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

Educative Reality - Augmented Reality Application for Education 教育现实-增强现实在教育中的应用

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101270

Naval Kshirsagar, Garvitraj Pandey, Aditya Prakash, Ishika Singh Chauhan, S Kumar

引用次数: 0

Machine Learning based Land Use Identification of Aerial Images with Fusion of Thepade SBTC and Triangle Thresholding 基于机器学习的航拍图像土地利用特征识别与三角阈值融合

2023 2nd International Conference for Innovation in Technology (INOCON) Pub Date : 2023-03-03 DOI: 10.1109/INOCON57975.2023.10101262

Sudeep D. Thepade, Akash P. Bhalerao

{"title":"Machine Learning based Land Use Identification of Aerial Images with Fusion of Thepade SBTC and Triangle Thresholding","authors":"Sudeep D. Thepade, Akash P. Bhalerao","doi":"10.1109/INOCON57975.2023.10101262","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101262","url":null,"abstract":"Discovery of Land Usage, also known as Land Usage Mining, essentially deals with determining the proper usage of a plot. For landform mapping to analyze locations, things, and features, aerial imagery is crucial. Remote sensing techniques are a fundamental and significant resource for detecting this. The aerial images may get captured with Modern means like satellites or drones. Additionally, the remote sensing technique gathers crucial data that may be applied to various planning tasks, including urban planning, conservation, forestry, land use, and many more. Urban regions may extract valuable information about land use and land cover from Very High Resolution (VHR) satellite pictures. Before practical usage is feasible, further research needs to be done on the many approaches that are now accessible. A machine learning technique called the ensemble technique combines many base models to create a single, ideal prediction model. In this paper, firstly, the extraction of features using TSBTC and then triangle thresholding is applied to the land usage dataset. After extracting features, a different ML algorithm is applied to compare the accuracy.Further, the triangle thresholding-based local features are ensembled with TSBTC II-ary global feature extraction technique to enhance performance. Additionally, in addition to the nine distinct ML algorithms, the recommended land use detection method uses three different ensembles of ML algorithms to evaluate performance. Results from the examination of this ensemble approach are based on the Land Use Dataset provided by UC Merced to demonstrate the benefit of using this ensemble method for classifying land use and significantly enhancing stand-alone methods.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133562967","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