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Spatial information considered convolutional neural network for electroencephalogram-based motor imagery classification 3

Spatial information considered convolutional neural network ...

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3rd international conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Shi, Hongbing Zhang, Jinhui Pei, Zhongcai School of Automation Science and Electrical Engineering Beihang University Beijing China North Information Control Research Institute Group Co. Ltd. China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

As brain-computer interface (BCI) technology continues to advance in various fields, it has become one of the possible solutions for patients with motor dysfunction who have healthy thinking ability to regain motor ability. The vigorous development of deep learning (DL) provides it with a possible tool to analyze electroencephalogram (EEG) signals. Through analyzing and categorizing EEG signals associated with motor imagery (MI), the system can effectively perceive the patient's motor intentions. Currently, Convolutional Neural Networks (CNN) have exhibited exceptional performance in a variety of fields, including computer vision (CV) and natural language processing (NLP). However, the brain structure has rich spatial information, which was not fully utilized by CNN for MI-EEG signal analysis in the past. This paper introduces SP-CNN, a convolutional neural network that incorporates spatial information from the brain, to address the classification challenge of MI-EEG signals. The experimental findings indicate that this method exhibits stable and robust performance across diverse subjects. © 2023 SPIE.

关键词： Electroencephalography

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The comparison and analysis of BMW and Chevrolet completing U-turn 2

The comparison and analysis of BMW and Chevrolet completing ...

引用

2nd international conference on Mechanical engineering, Intelligent Manufacturing and automation Technology, MEMAT 2022

作者： Wang, Haohui Mechanical Engineering Department University of Vermont BurlingtonVT05401 United States

ISBN: (纸本)9783800757619

This paper aims to analyze the comparison for different car modelslike BMW and Chevrolet's simulation of completing U-turn. The assumption is that the car is a rigid body, and there is no breaking or accelerating. With the python computer simulations, comparing the plots of setup date interval for x (variable on the horizontal direction), y (variable on the vertical direction), chi (the orientation of the car) for 2 models. And the differences lead to the conclusions of how different the two models are capable of making the U-turn, in this way to test different car models' capability of completing the command. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Model automobiles

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Catenary Parameter Detection for the High-speed Railway Power Supply System Based on Pauta Criterion 5

Catenary Parameter Detection for the High-speed Railway Powe...

引用

5th international conference on Clean Energy and Electric Power engineering, ICCEPE 2024

作者： Su, Qi Chen, Zhongbin Li, Xuefang Wu, Peng Li, Wei School of Electrical and Automation Engineering East China Jiaotong University Nanchang330013 China Yunnan Power Grid Co. Ltd. Pu'er Power Supply Bureau Yunnan China Shanghai Maritime University Shanghai201306 China Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences National Key Laboratory of Materials for Integrated Circuits Shanghai200050 China

ISBN: (纸本)9798350390315

The geometric parameters of the contact network are important components of the high-speed railway power supply system, which directly affect the stable operation of the railway. Regular inspection and maintenance are crucial. However, there are often issues with high costs and slow detection speed for the detection devices of geometric parameters. Therefore, it is essential to find a way to achieve fast and efficient detection with high accuracy. In this study, a method is proposed to perform linear fitting on residuals using the compensated target trajectory to reduce the interference of gross errors. Through simulation experiments and comparisons, it is suggested that tracking processing and data anomaly handling should be conducted when acquiring data on the upper computer. Furthermore, the Kalman filtering algorithm can effectively reduce the influence of gross errors on the accuracy of geometric parameters, enabling accurate tracking of abnormal targets and improving detection efficiency. Additionally, the static measurement accuracy is improved. © 2024 IEEE.

关键词： Kalman filters

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Enhancing the Smart Readiness Indicator Scheme: Methodology Assessment through 20 Use Cases 3

Enhancing the Smart Readiness Indicator Scheme: Methodology ...

引用

3rd international conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Zamanidou, Afroditi Kothona, Despoina Fokaides, Paris Christoforidis, Georgios C. University of Western Macedonia Faculty of Engineering Electrical & Computer Engineering Department Greece Kaunas University of Technology Faculty of Civil Engineering and Architecture Kaunas Lithuania

ISBN: (纸本)9798350375923

The European Union developed the Smart Readiness Indicator (SRI) to enhance energy efficiency and encourage the adoption of smart technologies in buildings, tackling their high energy usage and carbon emissions. This study evaluates the SRI methodology through the assessment of 20 diverse use cases, including residential and non-residential buildings, using Methods A and B of the SRI assessment scheme. Key variables such as climate zone, building type, year of construction, and the integration of smart-ready services were considered to ensure a comprehensive *** engineers assessed the buildings using the SRI EU Excel Tool and rated the methodology based on criteria including accuracy, usability, comprehensiveness, flexibility, and impact on decision-making. The results revealed high ratings for accuracy (45% rated as "Very Good"and 30% as "Excellent") and usability (50% rated as "Very Good"), while comprehensiveness was rated more moderately (40% "Good"). However, flexibility and adaptability emerged as areas requiring improvement, with 45% of assessments rated as "Fair."The SRI methodology demonstrated strong potential but requires further refinement to address the needs of diverse building types and more complex smart technologies. The study concludes that the SRI framework is a valuable tool for promoting energy efficiency and smart technology adoption across the EU building sector. However, additional research is recommended to integrate real-time data and automation technologies, and to enhance the framework's scalability and adaptability for future building systems. © 2024 IEEE.

关键词： Smart homes

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Research on Blockchain Covert Communication Scheme based on transaction mechanism 6

Research on Blockchain Covert Communication Scheme based on ...

引用

6th international conference on computer Information Science and Application Technology, CISAT 2023

作者： Su, Wenlei Ma, Linru Institute of Systems Engineering Academy of Military Sciences Beijing China

ISBN: (纸本)9781510668546

The communication method in which both parties could modify certain types of shared resources without attracting the attention of other users is called covert communication. Generally, researchers believe that blockchain, as a distributed storage database that can still guarantee security in an unreliable network environment, has excellent characteristics such as open, decentralized, untrusted, anonymous, tamper prevention, traceability, and contract execution automation. More and more studies have applied it to covert communication technology. Due to the different transaction mechanisms of various blockchain systems, schemes based on system mechanisms are usually designed for a specific transaction mechanism of a blockchain, making the scheme more covert. The blockchain covert communication scheme based on transaction mechanism designed in this paper mainly utilizes the Bitcoin transaction mechanism in the Bitcoin system. The transaction parties generate addresses as input addresses through pre negotiated keys, construct invalid transactions through transaction withdrawal mechanisms, embed secret information in invalid transactions, and make them undetectable on the blockchain network. The receiver obtains information about invalid transactions through the negotiated keys, Decrypting and obtaining secret information completes the communication process of covert communication. © 2023 SPIE.

关键词： Blockchain

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Adaptive disturbance rejection using AI

Adaptive disturbance rejection using AI

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2023 international conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Motorga, Roxana-Maria Muresan, Vlad Abrudean, Mihail Clitan, Iulia Valean, Honoriu Chifor, Laurentiu Unguresan, Mihaela Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania Technical University of Cluj-Napoca Physics and Chemistry Department Cluj-Napoca Romania

ISBN: (纸本)9798350322972

The main objective presented in this paper is to develop and implement the cascade control structure for the separation process and the enrichments of the 13C isotope, being a time-consuming industrial process. This classical control structure is compared with an adaptive control method obtained using artificial intelligence methods. The classical cascade control strategy consists of a PI controller in the internal loop tuned using the modulus criterion and a PID controller in the external loop. This structure can reject disturbances that occur both on the input of monoethanolamine and on the isotope concentration itself, by implementing two control elements consisting of a PD controller with filter, each. The separation process's settling time with enrichment of the 13C isotope is reduced by implementing the adaptive cascade control structure: for this purpose, all the four controllers are discretized using an interval of independent sampling times for each corresponding case, resulting in a range of coefficients for each controller;these coefficients are learnt using neural networks, facilitating the conversion back to the continuous time, leading so to the possibility to minimize the process settling time. © 2023 IEEE.

关键词： Isotopes

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Strategic Human Resource Management Innovations in Finance and Marketing with ML

Strategic Human Resource Management Innovations in Finance a...

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2024 IEEE international conference on Intelligent Systems and Advanced Applications, ICISAA 2024

作者： Muzhumathi, R. Vijayakanthan, S. Rajeshkumar, L. Lekshmi, R.S. Chandrasekaran, S. Selvameena, R. Velammal Engineering College Department of Management Studies Tamil Nadu Chennai India SRM Institute of Science and Technology Department of Management Studies Tamil Nadu Chennai India St.Joseph's College of Engineering Department of Management Studies Tamil Nadu Chennai India Saveetha Institute of Medical & Technical Sciences Saveetha School of Management Tamil Nadu Chennai India Dr.M.G.R Educational and Research Institute Department of Computer Science and Engineering Maduravoyal Tamil Nadu Chennai India

ISBN: (纸本)9798331539948

Due to manual procedures, static data analysis, and reactive strategies, traditional Strategic Human Resource Management (SHRM) systems in marketing and finance suffer from inefficiencies and delayed decision-making. The proposed system incorporates automation, real-time data processing, and predictive analytics along with machine learning (ML) to overcome these drawbacks. Utilizing Random Forest (RF) for automated talent acquisition, Long Short-Term Memory (LSTM) networks for predictive workforce planning, and KNearest Neighbors (KNN) for individualized employee development are some of the key features. The results show notable progress: RF obtains an F1-score of 0.84, an LSTM of 0.77, and a KNN of 0.90. Additionally, the proposed system increases training efficacy by improving employee satisfaction from 70% to 85% and skill improvement from 60% to 75%. Employee retention rates increase from 75% in 2020 to 87% in 2023. By transforming HR operations from reactive to proactive, the ML-integrated SHRM system improves corporate performance and decision-making. © 2024 IEEE.

关键词： Marketing

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Acupoint classification method based on improved support vector machine 5

Acupoint classification method based on improved support vec...

引用

5th international conference on Artificial Intelligence and computer Science, AICS 2023

作者： Tu, Juan Dai, Zunxiang Chen, Jianguo College of Electrical Engineering and Automation Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Medical Instrument and Pharmaceutical Technology Fuzhou350108 China

ISBN: (纸本)9781510668621

Acupoint potential signal is a kind of bioelectric signal collected on the skin surface, which has the characteristics of weak signal, strong noise and strong randomness. These characteristics make it difficult to extract acupoint features, which further affects the accuracy of acupoint classification. This paper proposes an acupoint classification method combining signal processing with intelligent algorithm. Firstly, the signal is decomposed by CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise), and the decomposed IMFs (Intrinsic Mode Functions are obtained). Secondly, the filtered modal set is taken as input, and the features are extracted by using Convolutional Neural Networks (CNN) to get its deeper features. Finally, the obtained feature parameters are input into the support vector machine (SVM) optimized DBO:(Dung Beetle Optimizer) for classification. The experimental results show that CEEEMDAN-CNN-DBO-SVM model can effectively identify the types of acupoints, with an average accuracy rate of 93.01% at rest and 90.6% at click stimulation. The effect is better than CNN, SVM, CEEMDAN-CNN, CEEMDAN-SVM, CNN-SVM and other five classification methods. © 2023 SPIE.

关键词： Empirical mode decomposition

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An Android Application Software Security Protection Method Based on Hybrid Reinforcement

An Android Application Software Security Protection Method B...

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2023 international conference on computer Science and automation Technology, CSAT 2023

作者： Yao, Ye Li, Jiayu Zhu, Yian Qian, Liang Han, Yake Zhang, Zhisheng School of Computer Science Northwest Polytechnical University Xi'an city710064 China Queen Mary University of London Engineering School Northwest Polytechnical University Xi'an city710064 China

ISBN: (纸本)9798350371437

In order to protect the data security and prevent reverse attack, this paper proposes a comprehensive protection scheme for Android application software to solve the problems of data security and self security. In view of the data security hidden trouble, the scheme mainly carries on the resource file protection. Wherein, Resource file protection includes resource file path confusion and image compression. Aiming at the problem of reverse attack, the scheme is carried out from two aspects: Dex file reinforcement and So file reinforcement. The reinforcement of Dex file mainly includes the key code extraction encryption and dynamic loading of Dex file, and the rein-forcement of So file mainly includes So file encryption and compression. Experiments show that the proposed security protection scheme for Android application Software can resist most of the reverse analysis and dynamic debugging attacks. © 2023 IEEE.

关键词： Application programs

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Capsule Network based 3D Object Orientation Estimation

Capsule Network based 3D Object Orientation Estimation

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2023 international conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Hollósi, János Ballagi, Áron Pozna, Claudiu Radu Széchenyi István University Department of Information Technology Gyor Hungary Széchenyi István University Department of Automation Gyor Hungary

ISBN: (纸本)9798350322972

Convolutional neural networks have proven to be one of the most efficient methods for processing visual data. Due to the popularity of the field, there is a growing interest in the reliability of intelligent systems. It has been shown that convolutional neural networks can be fooled by extreme inputs or noisy inputs. To overcome the current problems of convolutional neural networks, the theory of capsule networks was introduced by Geoffrey Hinton and his research team. In this work we want to investigate the theory of capsule networks for orientation recognition of 3-dimensional objects. We consider the case when the data are noise loaded by various adversarial attacking methods. We compare our results with the efficiency of convolutional neural network based solutions, highlighting the difference between the two theories. We investigate the efficiency reduction that can be observed using different adversarial attacking methods. Our results will show how much more efficient the capsule network is compared to the neural networks. © 2023 IEEE.

关键词： Routing algorithms

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