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A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI

Scientific Reports 2025年第1期15卷 1-14页

作者： Hussain, Sayyed Shahid Shah, Pir Masoom Dawood, Hussain Degang, Xu Alshamayleh, Ahmad Khan, Muhammad Adnan Ghazal, Taher M. School of Automation Central South University Changsha 410083 China School of Computer Science and Engineering Central South University Changsha 410010 China Department of Computer Science Bacha Khan University Charsadda Pakistan School of Computing Skyline University College Sharjah United Arab Emirates Department of Data Science and Artificial Intelligence Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Department of Software Faculty of Artificial Intelligence and Software Gachon University Seongnam-si 13120 South Korea Riphah School of Computing and Innovation Riphah International University Lahore Campus Lahore 54000 Pakistan Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India Networks and Cybersecurity Department Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan

Parkinson’s disease ranks as the second most prevalent neurological disorder after Alzheimer’s disease. Convolutional neural networks (CNNs) have been extensively employed in Parkinson’s disease (PD) detection using MR images. However, CNN models generally focus on local features while prone to capture global representations. On the other hand, the vision transformer (ViT) excels at capturing global features through its self-attention mechanism, but it compromises local feature representations. Additionally, the varying magnitude of MR data poses a challenge for ViT, potentially leading to the gradient vanishing problem. To address these limitations, this paper proposed a novel framework that combines the Swin-Transformer and CNN to capture both local and global features effectively. To mitigate the gradient vanishing issue in ViT, we used skipped connections and cosine attention mechanism in VIT that preserves the output distribution regardless of input magnitude variations. The proposed model comprises three primary blocks: Transformer-block, convolutional block, and dense-block. The input image is processed concurrently by the cosine transformer and convolutional block. Subsequently, the extracted features from both blocks are concatenated and fed to the dense block for decision-making. The proposed model achieved promesing results of 96%, 97%, 95%, and 95% in terms of accuracy, sensitivity, specificity, and area under the curve, respectively. © The Author(s) 2025.

关键词： CNN Cosine similarity MRI Parkinson’s disease Swin-transformer

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A Note on the Frequency Characteristics of Discrete Systems in the Complex Plane

A Note on the Frequency Characteristics of Discrete Systems ...

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2022 International Conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2022

作者： Matousek, Radomil Svarc, Ivan Faculty of Mechanical Engineering Institute of Automation and Computer Science Brno University of Technology Brno Czech Republic

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

Frequency characteristics of discrete-time systems in the complex plane and in linear coordinates are used to design controllers (correction terms) by frequency methods, to determine stability by frequency stability criteria, to assess the dynamic properties and behavior of the discrete system with respect to the harmonic components of the input signal, and to design various filters. Therefore, their determination is of considerable importance and their mapping and compilation into comprehensive summaries from which their shape and waveform can be determined is not yet done for discrete systems. This part is the first aim of the paper. Furthermore, a comparison of the construction of frequency characteristics of continuous and discrete linear time-invariant (LTI) systems is made and their differences are highlighted. Also, a comparison is made between the shape and waveform of the frequency characteristics of continuous and discrete systems with formally similar transfer functions. This comparison showed a relatively high similarity, which could be used to determine the dynamical properties of these systems. From the comparison of the constructions can also be seen how difficult it is to construct discrete versus continuous characteristics. © 2022 IEEE.

关键词： Stability criteria

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Utilization of machine learning in vibrodiagnostics 23rd

Utilization of machine learning in vibrodiagnostics

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23rd International Conference on Soft Computing, MENDEL 2017

作者： Zuth, Daniel Marada, Tomáš Faculty of Mechanical Engineering Institute of Automation and Computer Science Brno University of Technology Brno Czech Republic

ISBN: (纸本)9783319978871

The article deals with possibilities of use machine learning in vibrodiagnostics to determine a fault type of the rotary machine. Sample data are simulated according to the expected vibration velocity waveform signal at a specific fault. Then the data are pre-processed and reduced for using Matlab Classification Learner which creates a model for identifying faults in the new data samples. The model is finally tested on a new sample data. The article serves to verify the possibility of this method for later use on a real machine. In this phase is tested data preprocessing and a suitable classification method. © Springer Nature Switzerland AG 2019.

关键词： Machine learning

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Modeling and control of three-phase inverter of swirl turbine

Modeling and control of three-phase inverter of swirl turbin...

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作者： Brezina, Tomas Hejc, Tomas Kovar, Jiri Faculty of Mechanical Engineering Brno University of Technology Institute of Automation and Computer Science Brno Czech Republic

ISBN: (纸本)9788080754778

This paper deals with a three-phase inverter controller design for monobloc configuration of small swirl turbine. The aim is an phasing of the system to grid. A simulation design is described which leads to cascade controller with simple structure: lower loop is used for amplitude control and upper loop for phase control. First the highly nonlinear detailed three-phase inverter with switching components and diodes is modeled. Then based on RMS measurement a compensated LTI model is extracted which is used by H-infinity loop-shaping controller synthesis for both controllers design. Lastly design results are verified by simulations applying original three-phase inverter model taking into account high level of disturbances. Resulting system meets with reserve desired behaviour. © 2011 Univ of Trencin.

关键词： Controllers

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Distributed access control based on proxy signature in medical cyber-physical systems

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Recent Patents on computer science 2017年第3期10卷 194-200页

作者： Lee, Lingyu Liu, Yingli Key Lab of Computer Technologies Application Yunnan Province Institute KunMing650504 China Faculty of Information Engineering and Automation Kunming University of Science and Technology KunMing650504 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology KunMing650504 China

Background: Since the patient-related data stored in the MCPS (Medical Cyber-Physical System) play a critical role in medical diagnosis and treatment, it is essential to ensure the security of these data. Failure to obtain authentic and correct medical data will possibly prevent a patient from being treated effectively, or even lead to wrong treatments, also described in various patents. Moreover, public may not accept MCPS technology if enough attention is not paid to address various security and privacy concerns in MCPS. Especially access to patient-related data must be strictly limited only to authorized users;otherwise, the patients’ privacy could be abused. Methods: In this paper, one of PSWs proposed by Shao, proxy-unprotected, is introduced in our proposed protocol. Based on this method, we propose our distributed access control based on proxy signature in medical cyber-physical systems. Results: The proposed protocol achieves the requirements for access control in the following aspects: Firstly, the authorized users are able to access the nodes in a distributed manner. Secondly, it provides an effective user authentication mechanism. Thirdly, it supports different user privileges. Fourthly, it protects the integrity of query command. The timestamp included in the query command can ensure the freshness of the query command. In addition, it can also be used to prevent replay attacks when the command exceeds the life time. Conclusion: We have proposed a novel distributed dissemination code scheme for MCPS. The security analysis show that the technique guarantees strong unforgeability, verifiability, strong identifia-bility, strong undeniability and prevention of misuse. Moreover, security of the proposed technique does not rely on the availability of a secure channel. © 2017 Bentham science Publishers.

关键词： Diagnosis

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An analysis of the BBO Fans online social gaming community

An analysis of the BBO Fans online social gaming community

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作者： Posea, Vlad Balint, Mihaela Dimitriu, Alexandru Iosup, Alexandru Faculty of Automation and Computer Science Politehnica University of Bucharest Romania Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands

ISBN: (纸本)9781424473359

Online social gaming is an emerging Internet application that combines online gaming and online social networking functionality for the benefit of millions of daily users. While researchers have investigated the structure of (social) networks for decades, the activity characteristics and the community structure of online social gaming remain relatively unknown. To address this situation, in this work we investigate the BBO Fans club for online bridge. First, we introduce a method to collect and analyze data from BBO Fans and its underlying gaming platform. Our method is novel in that it addresses the lack of a strict definition of social relationship between BBO Fans players, and it defines several player types with implications on community formation and operation. Second, we use the proposed method to collect and analyze a 40-day BBO Fans dataset comprising over 140,000 unique players and over 3,000,000 unique play sessions. T hird, we compare the characteristics of BBO Fans with other large social networking and online gaming applications. We find in particular that BBO Fans generates similar levels of activity as but has different community characteristics than similarly-sized games on FaceBook, the largest social network in the world.

关键词： Data mining

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Extension of Maxwell's equations for non-stationary magnetic fluids using gauss's divergence theorem

Results in Engineering

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Results in engineering 2025年 26卷

作者： Bouzidi, Mohammed NASRI, Abdelfatah Rahmoune, Mohamed Ben Hafsi, Oussama Aeggegn, Dessalegn Bitew Ghoneim, Sherif S. M. Ali, Enas Ghaly, Ramy N. R. Department of Sciences and Technology University of Tamanghasset Sersouf P.O. Box 10034 Tamanghasset11001 Algeria Energy and Materials Laboratory University of Tamanghasset Sersouf P.O. Box 10034 Tamanghasset11001 Algeria Laboratory Smart Grid and Renewable Energy SGRE University Tahri Mohamed Bechar Algeria Algeria Applied Automation and Industrial Diagnostics Laboratory Faculty of Science and Technology University of Djelfa DZ 17000 Algeria DDI Laboratory Ahmed Draia University Adrar01000 Algeria Department of Electrical and Computer Engineering Debre Markos University Debre Markos269 Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif21944 Saudi Arabia University Centre for Research and Development Chandigarh University Punjab Mohali140413 India Faculty of Engineering and Technology Future University in Egypt New Cairo11835 Egypt Ministry of Higher Education & Scientific Research Industrial Technical Institute-Mataria Technical College Cairo11718 Egypt Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

The work presented in this paper focuses on formulating the development of time-dependent electromagnetic field laws through the application of Gauss's divergence theorem. The first part of the discussion looks at the basic ideas of electromagnetism. It focuses on how classical formulations of the laws of electromagnetism can be adapted to account for non-stationary conditions, especially regarding magnetic fluids that don't conduct electricity. It is suggested that employing Gauss's divergence theorem could help improve the computational analysis of these generalized equations, which would make them more useful in magnetic fluid dynamics. The paper examines the intricate interactions between non-conductive particles and conductive fluids under magnetic fields. By putting these interactions into a single theoretical framework, this work aims to help us understand non-stationary electromagnetic phenomena and how they affect many different scientific and engineering fields. The concluding section of the study examines the prospective practical applications of these extended equations. They could enable the development of more advanced electromagnetic devices and systems. Creating a strong set of analytical tools that can find new scientific paths and useful applications is the main goal of the study, particularly in the areas of electromagnetic induction and fluid dynamics. This research offers potential for substantial progress in both theoretical comprehension and technological advancement, The proposed method is applicable to real-world systems such as ferrofluid-based cooling, magnetic dampers, plasma generators, and smart electromagnetic devices. These applications demonstrate the practical benefits of coupling field behavior with boundary dynamics using Gauss's theorem. © 2025

关键词： Electromagnetic induction

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Research and prospect of multimedia information data mining

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Recent Patents on computer science 2017年第1期10卷 25-33页

作者： Hou, Yan Guo, Huiling Nevin, Nigel School of Computer Science and Technology Zhoukou Normal University ZhouKou China Faculty of Information Engineering and Automation Kunming University of Science and Technology KunMing China California University of Management CA United States

Background: In the increasingly large scale of the current multimedia information database, as described in various patents, big data technology is becoming more and more mature, and the problem of massive multimedia data mining is becoming more and more important. Method: In order to solve these problems through the analysis of the status for multimedia data mining, the general system structure in the application of multimedia information mining technology is analyzed, and the different methods and principles of text mining, image mining, video mining, web data mining in multimedia information data mining are made detailed analysis and the advantage and disadvantages are contrasted. Through the design of different experiments, the effectiveness and inferior of different methods are verified. Result: In the improved algorithm, the mining result of the multimedia text data based on correlation analysis is very different from the actual multimedia text data, the result is closer to the original mining image result, so this method is more practical. Conclusion: Through the summary and discussion on the problems existed in the current method, the faced challenges of multimedia information data mining technology are pointed out, to lay the foundation for the further development of the related technology. © 2017 Bentham science Publishers.

关键词： Data mining

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An Optimization Scheme for Consortium Blockchain in Airport Collaborative Decision Making 3

An Optimization Scheme for Consortium Blockchain in Airport ...

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3rd IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2021

作者： Zhang, Xiaohui Miao, Xianghua Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Information Engineering and Automation Kunming University of Science and Technology Computer Technology Application Key Lab of Yunnan Province Kunming China

ISBN: (纸本)9781665425186

Consortium blockchain-based A-CDM (Airport Collaborative Decision Making) was a decentralized technology solution proposed by some researchers in recent years to solve robustness, privacy, and security issues in the traditional centralized architecture. The key idea of blockchain-based A-CDM is to use blockchain technology to store the flight operation data in a distributed, consistent, and tamper-proof ledger, further improve the capability of flight management and reduce the trust barriers among the multi-stakeholders such as airport, air traffic management bureau, airlines, and ground service agency, etc. The RAFT consensus was adopted in many blockchain-based data sharing solutions to meet the need for efficiency in data transmission. However, the RAFT algorithm can only be used in a non-byzantine network because security requirements such as preventing malicious nodes are not fully considered. It will bring an immeasurable impact on flight operation when the leader node of RAFT-based A-CDM was caused by malicious control. In response to the above problems, this paper proposes an optimization scheme to improve the security performance of the consortium blockchain in A-CDM. © 2021 IEEE

关键词： Blockchain

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Fine-grained distributed averaging for large-scale radio interferometric measurement sets

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Research in Astronomy and Astrophysics 2021年第4期21卷 93-100页

作者： Shou-Lin Wei Kai-Da Luo Feng Wang Hui Deng Ying Mei Faculty of Information Engineering and Automation Computer Technology Application Key Lab of Yunnan ProvinceKunming University of Science and TechnologyKunming 650500China Center for Astrophysics Guangzhou UniversityGuangzhou 510006China

The Square Kilometre Array(SKA)would be the world’s largest radio telescope with eventually over a square kilometre of collecting ***,there are enormous challenges in its data *** use of modern distributed computing techniques to solve the problem of massive data processing in the SKA is one of the most important *** this study,basing on the Dask distribution computational framework,and taking the visibility function integral processing as an example,we adopt a multi-level parallelism method to implement distributed averaging over time and *** Array was used to implement super large matrix or arrays with supported *** maximize the usage of memory,we further exploit the data parallelism provided by Dask that intelligently distributes the computational load across a network of computer agents and has a built-in fault tolerance *** validity of the proposed pattern was also verified by using the Common Astronomy Software Application(CASA),wherein we analyze the smearing effects on images reconstructed from different resolution visibilities.

关键词： techniques:interferometric methods:data analysis methods:numerical instrumentation:interferometers

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