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Adaptive weighted broad learning system for imbalanced classification 6

Adaptive weighted broad learning system for imbalanced class...

引用

6th ieee Advanced Information Management, Communicates, Electronic and automation Control conference, IMCEC 2024

作者： Li, Yanting Gao, Yiping Jin, Junwei Chen, C. L. Philip Zhengzhou University of Light Industry College of Computer Science and Technology Zhengzhou China Henan University of Technology College of Artificial Intelligence and Big Data Zhengzhou China South China University of Technology School of Computer Science and Engineering Guangzhou China

ISBN: (纸本)9798350316520

Broad Learning System (BLS) perform well in classification tasks with good computational efficiency. However, its effectiveness decreases when faced with imbalanced data distribution. The traditional BLS cannot solve this problem effectively. In this paper, we introduce an adaptive weighted method for BLS, aiming to improve its classification performance on imbalanced data. This method can assign different weights according to the distribution characteristics of samples. There exists a closed-form solution to the problem and the transformation matrix can be solved efficiently by pseudo-inverse. Experimental results on several imbalanced datasets demonstrate that the proposed method surpasses standard BLS and many advanced imbalanced classification methods. © 2024 ieee.

关键词： Classification (of information)

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A Method for Predicting Coronary Heart Disease Using Machine Learning Approaches 2

A Method for Predicting Coronary Heart Disease Using Machine...

引用

2nd International conference on Recent Trends in Microelectronics, automation, Computing, and Communications Systems, ICMACC 2024

作者： Ramathilagam, A. Pradeepha, S. Ram, M. Preethi Lakshmi, B. Sankara Kumar, S. Arun Neels Ponkumar, D. David P.S.R. Engineering College Department of Computer Science and Engineering Tamil Nadu Sivakasi India Ramco Institute of Technology Department of Computer Science and Engineering Tamil Nadu Rajapalayam India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350366570

Predicting a patient's heart disease risk is a major difficulty in medical data analysis for preventative measures and mortality reduction. Early diagnosis is essential for timely treatment and continuing monitoring by healthcare professionals, however medical staff's limitations in patient surveillance frequently prevent it. Early cardiac problem detection and medical monitoring reduce fatality rates. The accuracy of heart disease detection is uncertain, and clinicians cannot regularly communicate with patients. Machine learning (ML) may help clinicians identify and forecast heart diseases using global healthcare data. This project will employ many feature selection methods to create a viable ML system for early heart disease prediction. It is possible to correctly forecast cardiac illness using a variety of machine learning methods, including Logistic Regression, Random Forest, Naïve Bayes classifier, Decision Tree, and LRND classifier. With the help of nearby technology, these algorithms may detect heart problems and provide treatment. © 2024 ieee.

关键词： Logistic regression

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Priority Tracking of Pedestrians for Self-Driving Cars 18

Priority Tracking of Pedestrians for Self-Driving Cars

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Nino, Jose Campbell, Mark Cornell Univ Sibley Sch Mech & Aerosp Engn Ithaca NY 14850 USA

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

A priority tracking framework to enable scalable tracking of pedestrians for self-driving cars in dense scenes is developed. Reachability analysis is used on the ego-vehicle and pedestrian tracks to assign different tracking strategies based on perceived priority. Therefore, computationally heavy algorithms such as 3D multi-object tracking (MOT) can be performed on priority objects, while less relevant tracks are maintained by lower-level trackers. The approach is empirically evaluated in simulated and real traffic scenarios with dense detection of pedestrians. We show that our approach reduces the number of objects tracked by the 3D MOT by 5 fold when compared to the standard approach, and ensures the ego vehicle satisfies the same key criteria for passive safety.

关键词： Measurement Three-dimensional displays Computer aided software engineering Computational modeling Probabilistic logic Autonomous automobiles Safety

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Dual Constraint-Based Controllers for Wheeled Mobile Manipulators 18

Dual Constraint-Based Controllers for Wheeled Mobile Manipul...

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Caliskan, Umut Rios, Federico Ulloa Decre, Wilm Aertbelien, Erwin Katholieke Univ Leuven Dept Mech Engn Leuven Belgium Katholieke Univ Leuven Core Lab ROB Flanders Make Leuven Belgium Flanders Make Vzw Lommel Belgium

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

A wheeled mobile manipulator, consisting of a mobile platform and a manipulator arm, can be used to provide assistive handling of loads without requiring large investments or changes in factory layout. This paper introduces a novel constraint-based control architecture in which such assistive tasks can be defined. From the same constraint-based task specification two constraint-based controllers are generated in such a way that the more accurate and higher bandwidth manipulator arm can compensate for the inaccuracies and lower bandwidth introduced by the mobile platform. The effectiveness of this approach is validated using a null-space motion task and a guided peg insertion task. The experiments clearly show an improvement in the accuracy of the null-space motion task and an increased comfort-level of the operator in the guided peg insertion task.

关键词： Computer aided software engineering automation Layout Bandwidth Manipulators Production facilities Task analysis

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Electric Vehicles Routing Including Smart-Charging Method and Energy Constraints 18

Electric Vehicles Routing Including Smart-Charging Method an...

引用

ieee 18th International conference on automation science and engineering (ieee CASE)

作者： Estil-les, Maria A. Del Cacho Fanti, Maria Pia Mangini, Agostino M. Roccotelli, Michele Polytech Univ Bari Bari Italy

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

This paper presents an optimization-based approach for the Electric Vehicle Routing Problem considering Smart-Charging methods. The objective, based on the application of the model, is to obtain the shortest route for each of the electric vehicles that have to deliver freight to a set of customers minimizing the charging/discharging cost. Based on the Smart-Charging method, in which vehicles can charge/discharge energy from/to the grid, the power grid limits, and balancing needs are considered. In this way, both the charging points and the energy districts are prevented from exceeding the maximum allowed energy peak. A real case study in the Apulia Italian region (Italy) shows the effectiveness of the proposed optimization model.

关键词： Costs Computer aided software engineering automation Electric vehicles Routing Power grids Optimization

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IoT and AI Synergy in Society: Robotics and automation Perspectives 7

IoT and AI Synergy in Society: Robotics and Automation Persp...

引用

7th International conference on Contemporary Computing and Informatics, IC3I 2024

作者： Geetha, B.T. Jothi, J. Salomi Backia Pal, Shaunak Islam, Imam Taqi Deen Raghuram, K.S. Soni, Mukesh Simats Saveetha University Saveetha School of Engineering Department of Ece Tamil Nadu India Srm Institute of Science and Technology Faculty of Science and Humanities Department of Commerce Ramapuram campus Chennai600089 India Vellore Institute of Technology School of Computer Science and Engineering Tamil Nadu Vellore India University of Electrical Science and Technology of China Sichuan Chengdu China Department of Mechanical Engineering Visakhapatnam India Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science& Technology Tathawade Pune India

ISBN: (纸本)9798350350067

The Internet of Things, or IoT, is a relatively new Internet revolution that is being successfully adopted by the corporate, industrial, healthcare, and economic sectors as well as other areas of the modern information society. Specifically, IoT with artificial intelligence (AI) support improves a great deal the performance in a wide range of daily applications with a focus on automation systems, robotics, transportation, and business. Smart automation in the manufacturing sector is now possible thanks to the development of Industry 4.0. The BRDT algorithm is used in this work to track how much energy appliances and machinery use, forecast behaviour, and identifies unusual conduct. When the suggested system's efficiency is compared to current approaches, it provides an efficiency of 85%. The application of this technology raises a number of standardisation, security, resource planning, legal, and paradigm-shifting business challenge problems. The whole supply chain and all of its actors, from producers to end users, are crucial to the success or failure of Industry 4.0 deployment. © 2024 ieee.

关键词： Supply chains

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Vibration Mitigation in Positioning Control of a Slung Load Using Approximate Flat Output Based on Inverse Gudermannian 19

Vibration Mitigation in Positioning Control of a Slung Load ...

引用

19th ieee International conference on automation science and engineering, CASE 2023

作者： Hoshino, Tasuku Fujiwara, Daisuke Suwa University of Science Faculty of Engineering Department of Mechanical and Electrical Engineering Nagano Chino391-0292 Japan

ISBN: (纸本)9798350320695

This paper presents vibration-free positioning control of a slung load which is horizontally driven by a linear actuator. Since the system is underactuated and is not differentially flat, an approximate flat output is analytically derived instead, based on the characterization of flat output using the Brunovsky canonical form. The approximate flat output is a function of the inverse Gudermannian and is used to generate the vibration-free control input for the linear actuator. The approximate flat output based controller mitigates the residual vibration in positioning slung load better than that of flat output for the linear approximation. The advantages are verified both in numerical simulations and experiments. © 2023 ieee.

关键词： Linear actuators

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Flexible Robot Dynamics and Vibration: From Analytical Modeling to Operational Modal Analysis 10

Flexible Robot Dynamics and Vibration: From Analytical Model...

引用

10th International conference on automation, Robotics, and Applications, ICARA 2024

作者： Vu, Viet-Hung Liu, Zhaoheng Thomas, Marc Royal Military College of Canada Dept. of Mechanical and Aerospace Engineering KingstonON Canada École de technologie supérieure Dept. of Mechanical Engineering MontrealQC Canada

ISBN: (纸本)9798350394245

This paper presents recent studies on the dynamics and vibration of a flexible robot developed for industrial use that features six degrees of freedom. The flexibility of the joints and links is considered. We investigate the nonlinear dynamics and non-stationary vibration behavior of the robot's structure during grinding applications using both analytical and experimental methods. A linearization technique is introduced for the analytical modeling of the robot's dynamics across its entire workspace. Experimental investigations include modal testing and operational modal analysis, utilizing autoregressive models (ARX) and the Kalman filter to accurately characterize the robot's dynamic properties, dynamic contact forces, and the adaptation of these parameters in non-stationary vibrations. The effective performance of both approaches and the congruence between analytical and experimental findings suggest the potential for a hybrid modal analysis technique, tailored for flexible structures and robots operating under complex, real-world conditions. © 2024 ieee.

关键词： Flexible structures

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A Hybrid Blockchain Database System for Discipline Inspection and Supervision 6

A Hybrid Blockchain Database System for Discipline Inspectio...

引用

6th ieee Advanced Information Management, Communicates, Electronic and automation Control conference, IMCEC 2024

作者： Liu, Yukun Zhao, Hengyuan Yang, Fuyu Tala Zhang, Junxing Inner Mongolia University College of Computer Science Hohhot China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China Shihezi University Agricultural College Shihezi China

ISBN: (纸本)9798350316520

In this paper, we study the application of the hybrid blockchain and database system in the field of Disciplinary Inspection and Supervision (DIS), with a focus on exploring how to use blockchain technology to improve the security of DIS workflow. With rapid development of digital technology, the DIS information system is facing new challenges, and blockchain technology offers an innovative approach for solving them. This paper tries to exploit blockchain technology to improve security of a typical DIS system, and at the same time retain flexibility of the traditional database application. Through the integration approach, the DIS system can effectively respond to the risks and opportunities of the information age while maintaining political clarity and strengthening internal supervision. This work provides in-depth insights into the application of blockchain in the DIS field, and provides useful references for academic research and practical applications in related fields. © 2024 ieee.

关键词： Blockchain

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Research on the Construction System of Power science and Technology Innovation Index and Evaluation System Based on Deep Learning 2

Research on the Construction System of Power Science and Tec...

引用

2nd ieee International conference on Electrical, automation and Computer engineering, ICEACE 2024

作者： Yingxuan, Yang Electric Power Research Institute State Grid Liaoning Electric Power Supply Co. Ltd. Shenyang China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368208

In the continuous innovation and upgrading of the power system, the science and technology innovation index, as a core indicator for evaluating innovation activities, has gradually gained the attention of researchers and practitioners. However, current evaluation methods generally have limitations such as a single evaluation perspective and lack of dynamic response efficiency, making it difficult to fully capture the complexity of innovation driving forces. This paper proposes a construction and evaluation system for the power science and technology innovation index based on a hybrid deep learning model. By integrating CNNs and LSTMs, the system predicts and classifies the innovation index based on deep extraction of innovation driving forces. At the same time, this paper constructs a multidimensional and multi-level innovation evaluation index system that can dynamically evaluate the innovation status of the power system. Through empirical research, the system was tested on multiple real power system data sets and compared with traditional evaluation methods. The experimental results show that the system is superior to existing models in prediction accuracy, dynamic response capability and computational efficiency, and the prediction error of the innovation index is controlled within 5%. © 2024 ieee.

关键词： Hybrid power

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