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检索条件"任意字段=IEEE Conference on Control Technology and Applications"

共 50492 条记录，以下是671-680 订阅

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A Multimodal Identity Recognition Algorithm 7

A Multimodal Identity Recognition Algorithm

引用

7th International conference on Advanced Algorithms and control Engineering, ICAACE 2024

作者： Li, Pengfei Gao, Haolin Xie, Wenbo Zhao, Xuan Zhengzhou Xinda Institute Of Advanced Technology Zhengzhou China

ISBN: (纸本)9798350361445

Although biometrics technology has developed for many years, in practical applications, it still faces many difficulties and challenges. In non-ideal, uncontrolled, unconstrained scenarios, the recognition accuracy is greatly reduced. Although good recognition results have been obtained based on single-mode information, most algorithms are built based on constrained environment, and the data used are also taken from constrained environment. If the algorithms encounter unconstrained situations, it is not reliable to recognize only a single mode such as facial features, and the accuracy of face recognition[1] is even lower when there is facial occlusion or insufficient light. In this paper, a multi-modal[2] knowledge fusion algorithm is proposed, which fuses facial features, human features and voiceprint features, and comprehensively studies modal biometric information to improve the robustness and accuracy of the identity recognition algorithm. © 2024 ieee.

关键词： Face recognition

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Enhancing Facial Expression Recognition Through an Innovative Feature Selection Technique Based on Fisher Criterion and Genetic Algorithm 7

Enhancing Facial Expression Recognition Through an Innovativ...

引用

7th ieee Information technology, Networking, Electronic and Automation control conference, ITNEC 2024

作者： Song, Li Huang, Jie Sun, Qi Jiang, Qianfeng Du, Chao School of Industrial Internet Beijing Information Technology College Beijing China

ISBN: (纸本)9798350370782

Facial Expression Recognition (FER) is a pivotal and captivating field in computer vision with broad applications that have made it a popular research topic since the 1990s, playing a significant role in image processing. FER typically involves two key stages: feature extraction and selection, followed by classification. This study introduces a novel feature selection approach, named FCGA (Fisher Criterion and Genetic Algorithm), to address challenges in FER. In the FCGA method, the Fisher criterion is used to evaluate feature subsets, and a genetic algorithm is devised to identify an optimal feature subset from the pool of candidate. The FCGA method is applied to select features for FER from various types, such as Local Phase Quantization (LPQ) and Pyramid of Histogram of Oriented Gradients (PHOG). These selected features then collaborate with Support Vector Machine classifiers to categorize facial expressions. Experimental results utilizing the JAFFE and FER2013 databases reveal that the FCGA method boosts the recognition rate by a noteworthy margin of up to 1.3% and 3.2% compared to other feature selection methods. © 2024 ieee.

关键词： Feature Selection

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Securing the Internet of Things: A Comparative Study on Integrating Access control with Distributed Ledger technology 6

Securing the Internet of Things: A Comparative Study on Inte...

引用

6th International conference on Blockchain Computing and applications, BCCA 2024

作者： Almalki, Ebtehal Cherif, Asma Mohaisen, Linda Department of Information Technology King Abdulaziz University Jeddah21589 Saudi Arabia Center of Excellence in Smart Environment Research King AbdulAziz University Saudi Arabia

ISBN: (纸本)9798350351538

Internet of Things (IoT) technology is increasingly prevalent across various sectors, including the military and healthcare. IoT devices play a pivotal role in collecting and analyzing crucial data while executing assigned tasks. Given the sensitive nature of this data, access control in IoT is crucial for data protection, and regulating the accessibility of data, applications, and resources. Yet, conventional centralized access control mechanisms are not well-suited to the dynamic IoT environment. The decentralized and distributed nature of Distributed Ledger technology (DLT) presents a promising solution due to its high degree of transparency. This paper investigates various DLT-based access control models, presenting their distribution levels based on access control functional points and evaluating their capabilities using a predefined set of criteria. Upon defining a set of criteria for assessing DLT-based access control models within the IoT, it was observed that only two publications can be classified as highly distributed based on functional points. Furthermore, the assessment revealed that no model possesses both a highly distributed architecture and a highly distributed functional point distribution level simultaneously. This highlights the need for further development of distributed, scalable, and flexible access control models that align with the characteristics of the Internet of Things. This may involve integrating additional functional points into the chain and implementing smart contracts. © 2024 ieee.

关键词： Distributed ledger

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A New BRB-Based Fault Diagnosis Method for Leader-Following Multi-Agent Systems with Communication Interferences 3

A New BRB-Based Fault Diagnosis Method for Leader-Following ...

引用

3rd conference on Fully Actuated System Theory and applications (FASTA)

作者： Wang, Ziyi Ji, Wenqiang Yang, Ruohan Hebei Univ Technol Sch Artificial Intelligence Tianjin 300401 Peoples R China Northwestern Polytech Univ Sch Elect & Informat Xian 710072 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

This paper investigates the fault diagnosis problem for leader-following multi-agent systems (MASs) subject to actuator faults and communication interferences based on belief rule base (BRB). By designing a sliding mode controller, the system's consistency under communication interferences is achieved. Then a novel BRB-based fault diagnosis method is proposed to diagnose faults in MASs, and the faulty agents can be diagnosed accurately. Ultimately, the effectiveness of the proposed method is verified by simulation studies.

关键词： Fault diagnosis Multi-agent systems (MASs) Belief rule base (BRB) Sliding mode control

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Acquisition and Detection of Eye Movement Using Electrooculography

Acquisition and Detection of Eye Movement Using Electrooculo...

引用

2024 ieee International conference on Signal Processing and Advance Research in Computing, SPARC 2024

作者： Gajendiran, Sruthilaya Sivagnanam, Yuvaraj SRM Institute of Science and Technology Department of Electronics and Communication Engineering TamilNadu Kattakulathur Chennai603203 India

ISBN: (纸本)9798350385199

Human-Computer Interaction (HCI) systems are becoming admired daily for eye-tracking environments. Electrooculography (EOG) is the technique for recording eye movement with the help of keeping electrodes near the eyes and forehead. EOG is captured by recording polarization potential between the cornea and retina, which measures corneal-retinal potential (CPR). In this concept, eye movement generates electric signals so that we can able to control the device in his/her environment and communicate with the required people. EOG signals are taken as the primary input using Electrodes. In the electrode first ionic energy converts into an electric signal in the body which is amplified and preprocessed to remove noise and artifacts then feature is extracted and used for real-time applications like biomedical and rehabilitation engineering applications, home automation, multitask gadget control, etc. In this process time domain features are calculated such as Mean, STD, RMS, Skewness, and Kurtosis then saccade and fixation are detected in Blink signal. In the future, EOGs may provide attractive means for virtual reality and valuable communication tools. © 2024 ieee.

关键词： Eye movements

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Study on the Effectiveness of Multilingual Models in Fake News Classification 7

Study on the Effectiveness of Multilingual Models in Fake Ne...

引用

7th ieee Information technology, Networking, Electronic and Automation control conference, ITNEC 2024

作者： Zhang, Li Liu, Jiawei School of Computer Science Beijing University of Technology Beijing China

ISBN: (纸本)9798350370782

This study aims to delve into the application of BERT-based foundational models and currently popular large-scale models in the field of fake news detection. By comprehensively evaluating the classification performance of these two approaches across different datasets, we aim to provide an useful reference for both research and practical applications in fake news detection. The results indicate that on the smaller-scale Dataset 1, six popular large models, including GPT-2, QWEN, and RENIE, perform better, with the best average F1 score reaching 95.4% and ROC achieving 95%. On the larger-scale Dataset 2, BERT-based models and their seven variants show superior classification performance, with the best average F1 score reaching 90.4% and ROC achieving 78.5%. Although large-scale models may outperform in certain scenarios, BERT-based foundational models offer advantages in terms of resource efficiency and are more effective in training and deployment. Therefore, our study provides researchers with valuable practical reference when choosing models. © 2024 ieee.

关键词： BERT GPT Large Language Models Public Opinion Classification

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Revolutionizing Healthcare: Blockchain's Transformative applications for Data Security, Privacy, and Interoperability 9

Revolutionizing Healthcare: Blockchain's Transformative Appl...

引用

9th ieee International conference for Convergence in technology, I2CT 2024

作者： Raj, Riya Raja, S.P. Vellore Institute of Technology School of Computer Science And Engineering Vellore India

ISBN: (纸本)9798350394474

In a rapidly evolving digital era, the convergence of blockchain technology and healthcare is poised to revolutionize the industry in unprecedented ways. This research paper presents an innovative exploration of the transformative potential of blockchain within healthcare, unveiling a new paradigm of patient-centric, secure, and interoperable healthcare systems. Blockchain, renowned for its decentralized architecture and cryptographic security, addresses the perennial challenges of data integrity, patient privacy, and healthcare system interoperability. In this paper, we embark on a journey to unveil the diverse applications of blockchain technology in healthcare, ranging from enhancing medical records management (MRMs) to enabling groundbreaking advances in telemedicine, drug traceability, clinical trials and organ transplantation. Our research deploys a multidimensional analysis, we delve into blockchain's ability to empower patients with unprecedented control over their health data, fostering transparency and trust within the healthcare ecosystem. As we navigate the landscape of blockchain in healthcare, we also confront the formidable challenges that lie ahead, such as regulatory compliance, scalability, and the need for industry-wide adoption. In conclusion, this research paper is an innovative exploration into the fusion of blockchain technology and healthcare, reimagining the possibilities of a digitally transformed healthcare landscape. By unveiling novel applications, addressing challenges, and presenting practical solutions, this work inspires a new wave of research and innovation in the intersection of blockchain and healthcare, paving the way for a healthier, more secure, and patient-centric future. © 2024 ieee.

关键词： Blockchain

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ieee 802.15.4e TSCH traffic isolation approach impact on SDWSN's control plane performance

IEEE 802.15.4e TSCH traffic isolation approach impact on SDW...

引用

ieee Latin-American conference on Communications (LATINCOM)

作者： Sayjari, Tarek Silveira, Regina Melo Margi, Cintia Borges Univ Sao Paulo Escola Politecn Sao Paulo Brazil

ISBN: (纸本)9798350326871

Software-Defined Wireless Sensor Networks (SDWSNs) have grown in popularity and proved their usefulness in the Internet of Things (IoT) deployment since they provide centralized administration and improve network flexibility. However, in order to control and manage the network, the controller constantly exchanges control messages with the network nodes. As a result, it is critical to guarantee that control messages arrive at their destinations on time. We presented the Application Traffic Isolation (ATI) approach to isolate the different traffic types by slicing the network using ieee 802.15.4e Time Slotted Channel Hopping (TSCH) technology. This approach demonstrated its effectiveness and resulted in an improvement in the data plane performance metrics. This study investigates the impact of the ATI approach on the control plane using the control and Data Traffic Isolation (CDTI) approach as a reference comparison case. The evaluation process took into account up to four applications operating concurrently, as well as network sizes of up to 225 nodes. Contiki OS and Cooja simulator were used to run the simulations. In comparison to the CDTI approach, the ATI approach improved the control delivery rate and control delay by up to 47.91% and 41.36%, respectively.

关键词： Traffic isolation ieee 802.15.4e Time Slotted Channel Hopping Network slicing Internet of Things Software-Defined Wireless Sensor Network

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A Comparative Analysis on Application of PI and LQR Based control for Speed Tracking of a DC Motor 3

A Comparative Analysis on Application of PI and LQR Based Co...

引用

3rd ieee International conference on control, Instrumentation, Energy and Communication, CIEC 2024

作者： Roy, Souvik Basak, Arijit Majumder, Abhishek Chowdhuri, Sumana University of Calcutta Dept. of Applied Physics West Bengal Kolkata India Future Institute of Technology Dept. of Electrical Engg West Bengal Kolkata India

ISBN: (纸本)9798350313703

DC motors have found extensive industrial usage due to their wide range of speed control and excellent speed torque characteristics. The simplest speed control technique for dc motor is the proportional integral (PI) control due to its ease of implementation since all the control variables are dc quantities. Improved performance can be achieved by using other control techniques like deadbeat control, fuzzy logic control, model predictive control and state feedback control. The optimal control approach of state feedback is Linear Quadratic Regulator (LQR) control which has been proven to achieve better control action compared to classical control approaches. This paper emphasizes on the mathematical approach to design the LQR controller for speed control of a DC motor by converting the reference tracking problem into a regulator problem. The controller has been designed in the Simulink environment of MATLAB and the performance of the designed controller is compared to that of a PI based controller. © 2024 ieee.

关键词： State feedback

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Design and Implementation of Sensor-Based Trapezoidal control of BLDC Motor Based on XMC-7200 Microcontroller for EV Application

Design and Implementation of Sensor-Based Trapezoidal Contro...

引用

2024 International conference on Computer, Electronics, Electrical Engineering and their applications, IC2E3 2024

作者： Jhawar, Chirag Manthati, Udaya Bhasker Abhishek, Prashant National Institute of Technology Department of Electrical Engineering Warangal India Infineon Technologies Bengaluru India

ISBN: (纸本)9798350388534

Nowadays with the exponential growth in technology efficiency is a very critical aspect of any electrical drive system. Using BLDC motors in place of conventional AC induction motors and brushed DC motors can improve efficiency and save energy. In this paper implementation of speed control of brushless DC motor using hall effect sensors with PI controller using XMC 7200 MCU for electric vehicle-type application has been proposed. Block commutation or six-step commutation or trapezoidal control technique is used for the commutation of the phases. This method is straightforward and cost-effective from the implementation of a hardware point of view. A simulation study and hardware implementation have been carried out for this scheme. © 2024 ieee.

关键词： Brushless DC motors

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