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Identifying patients in need of psychological treatment with language representation models

Multimedia Tools and Applications 2025年第1期84卷 397-418页

作者： Aygün, İrfan Kaya, Buket Kaya, Mehmet Department of Software Engineering Celal Bayar University Manisa Turkey Department of Electronics and Automation Fırat University Elazig Turkey Department of Computer Engineering Fırat University Elazig Turkey

Early diagnosis of psychological disorders is very important for patients to regain their health. Research shows that many patients do not realize that they have a psychological disorder or apply to different departments for treatment. The detection of hidden psychological disorders in patients will both increase the quality of life of patients and reduce the traffic of patients who apply to the wrong department. This study aimed to determine whether patients who consult a physician for any reason need psychological treatment. For this purpose, the relationships, and similarities between the sentences of previous psychiatric patients and the sentences of newly arrived patients were analyzed. Domain-based trained ELECTRA language model was used to detect sentence similarities semantically. In the study, the dialogues of patients with physicians in 92 different specialties were analyzed using the MedDialog dataset, which consists of online physician applications, and the DAIC-WOZ dataset. As a result of the experiments, 90.49% success was achieved for the MedDialog dataset and 89.36% for the DAIC-WOZ dataset. With the proposed model, patients in need of psychological treatment were identified and the medical departments where psychological problems were revealed the most were determined. These divisions are Neurology, Sexology, Cardiology, and Plastic Surgery, respectively. With the findings obtained, complications caused by psychological problems and types of diseases that are precursors to psychological disorders were determined. To the best of our knowledge, this article is the first study that aims to analyze all psychological illness instead of focusing on any of the psychological problems (depression, OCD, schizophrenia, etc.) and validated by electronic health records. © The Author(s) 2024.

关键词： Diseases

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A method for recognizing facial expression intensity based on facial muscle variations

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Multimedia Tools and Applications 2025年第18期84卷 19087-19116页

作者： Zhang, Yukun Fei, Zixiang Li, Xia Zhou, Wenju Fei, Minrui The School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China The School of Computer Engineering and Science Shanghai University Shanghai200444 China The Shanghai Jiaotong University Shanghai200240 China

Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the salience, or intensity, of an expression. Existing techniques for expression intensity recognition find it difficult to capture the texture features of expressions, which results in low recognition accuracy. Therefore, this paper proposes a method for recognizing expression intensity based on facial muscle changes to address this issue. This method captures texture motion information of facial muscles using optical flow, determining the motion regions and static regions of facial texture based on optical flow magnitude. The movement areas of facial expressions are set as salient regions, and the intensity of emotions is classified based on the variation rate of muscles within these regions. The proposed algorithm exhibits good recognition accuracy on publicly available datasets such as CK +, MMI, and datasets collected from real scenarios, including those involving elderly individuals. The average recognition accuracy reaches 82.7%. The proposed algorithm demonstrates a strong ability to recognize the intensity of facial expressions. This study provides technical support for the development of a real-time mood monitoring system. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Optical flows

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FSIW Cavity-Based Self-Packaging Filtering Slot Antennas with Wide-Stopband and High Frequency Selectivity

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IEEE Transactions on Antennas and Propagation 2025年第6期73卷 3503-3516页

作者： Zhou, Xin Zhang, Gang Tam, Kam-Weng Pang, Ziyu Zhang, Zhuowei Lin, Huawei Hong, Jiasheng University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China Nanjing Normal University School of Electrical and Automation Engineering Nanjing210046 China Nanjing Normal University Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing School of Electrical and Automation Engineering Nanjing210046 China Heriot-Watt University School of Engineering and Physical Sciences Department of Electrical Electronic and Computer Engineering EdinburghEH14 4AS United Kingdom

This article proposes a novel design approach for miniaturized, highly selective, self-packaged, and wide-stopband filtering slot antennas based on C- and T-type folded substrate integrated waveguide (C-/T-FSIW) cavities. Firstly, two forms of FSIW cavity are explored and analyzed. A new coupled C-type half-mode FSIW (C-HMFSIW) cavities are developed. A filtering antenna is proposed, employing a C-HMFSIW cavity for feeding and a slot-loaded C-FSIW cavity for radiation. By introducing cross-coupling between different resonators, a radiation null (RN) is achieved. To further enhance bandwidth and frequency selectivity, a new antenna configuration is developed using a C-HMFSIW cavity for feeding and a slot-loaded T-FSIW cavity for radiation. After loading the radiation slot, the T-FSIW cavity serves as two parts: one as the main radiator and the other as a parasitic radiator opposite to it. This configuration increases antenna bandwidth and generates an additional RN. Interestingly, adjusting the position of the radiation slot allows the RN to switch between the upper and lower stopbands. The antennas proposed in this work exhibit good stopband performance and compact size. Three filtering antenna prototypes are designed, fabricated, and measured, showing consistent results between measurements and simulations. © 1963-2012 IEEE.

关键词： Radiators

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Resilient source seeking with robot swarms 63

Resilient source seeking with robot swarms

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Acuaviva, Antonio Bautista, Jesus Yao, Weijia Jimenez, Juan De Marina, Hector Garcia Universidad Complutense de Madrid Department of Computer Architecture and Automation Spain Department of Computer Engineering Automation and Robotics Granada Spain Hunan University School of Robotics China

ISBN: (纸本)9798350316339

We present a solution for locating the source, or maximum, of an unknown scalar field using a swarm of mobile robots. Unlike relying on the traditional gradient information, the swarm determines an ascending direction to approach the source with arbitrary precision. The ascending direction is calculated from field strength measurements at the robot locations and their relative positions concerning the swarm centroid. Rather than focusing on individual robots, we focus the analysis on the density of robots per unit area to guarantee a more resilient swarm, i.e., the functionality remains even if individuals go missing or are misplaced during the mission. We reinforce the algorithm's robustness by providing sufficient conditions for the swarm shape so that the ascending direction is almost parallel to the gradient. The swarm can respond to an unexpected environment by morphing its shape and exploiting the existence of multiple ascending directions. Finally, we validate our approach numerically with hundreds of robots. The fact that a large number of robots with a generic formation always calculate an ascending direction compensates for the potential loss of individuals. © 2024 IEEE.

关键词： Microrobots

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Confidentiality Preserving Data Sharing for Life Cycle Assessment in Process Industries 29

Confidentiality Preserving Data Sharing for Life Cycle Asses...

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29th IEEE International Conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Perera, Hansani Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350361230

The pulp and paper industry faces significant en-vironmental challenges, such as air pollution, greenhouse gas emissions, and wastewater discharge, requiring smarter and more sustainable operations. Regulatory bodies are imposing stringent measures to mitigate these impacts, prompting the industry to adopt sustainable practices and technologies. Life Cycle Assessment (LCA) models are crucial in this effort, pro-viding a comprehensive evaluation of environmental impacts and aiding decision making for sustainable manufacturing. However, organisations prioritise the confidentiality of their sensitive data, which can hinder collaborative efforts and LCA calculations. This paper addresses organisational requirements for improving confidentiality, tamper-proof data transfer, and ensuring data sovereignty. The ongoing proof-of-concept introduces a novel approach in LCA, employing Secure Multiparty Computation (SMPC) and data spaces to enable confidentiality-preserving LCA. Our solution ensures data sovereignty and accurate LCA calculations, promoting sustainable practices across the value chain. This paper lays the foundation for a collaborative data platform that meets the critical needs of confidentiality, security, and sustainability in the process manufacturing industry. © 2024 IEEE.

关键词： Life cycle assessment

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Improving Network Availability through Optimized Multipath Routing and Incremental Deployment Strategies

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computers, Materials & Continua 2024年第7期80卷 427-448页

作者： Wei Zhang Haijun Geng Computer Application Teaching and Research Section China University of Labor RelationsBeijing100048China School of Automation and Software Engineering Shanxi UniversityTaiyuan030006China

Currently,distributed routing protocols are constrained by offering a single path between any pair of nodes,thereby limiting the potential throughput and overall network *** approach not only restricts the flow of data but also makes the network susceptible to failures in case the primary path is *** contrast,routing protocols that leverage multiple paths within the network offer a more resilient and efficient *** routing,as a fundamental concept,surpasses the limitations of traditional shortest path first *** not only redirects traffic to unused resources,effectively mitigating network congestion,but also ensures load balancing across the *** optimization significantly improves network utilization and boosts the overall performance,making it a widely recognized efficient method for enhancing network *** further strengthen network resilience against failures,we introduce a routing scheme known as Multiple Nodes with at least Two Choices(MNTC).This innovative approach aims to significantly enhance network availability by providing each node with at least two routing *** doing so,it not only reduces the dependency on a single path but also creates redundant paths that can be utilized in case of failures,thereby enhancing the overall resilience of the *** ensure the optimal placement of nodes,we propose three incremental deployment *** algorithms carefully select the most suitable set of nodes for deployment,taking into account various factors such as node connectivity,traffic patterns,and network *** deployingMNTCon a carefully chosen set of nodes,we can significantly enhance network reliability without the need for a complete overhaul of the existing *** have conducted extensive evaluations of MNTC in diverse topological spaces,demonstrating its effectiveness in maintaining high network availability with minimal path *** results are impressive,sh

关键词： Multipath routing network availability incremental deployment schemes genetic algorithm

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Predefined-time distributed multiobjective optimization for network resource allocation

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Science China(Information Sciences) 2023年第7期66卷 58-72页

作者： Kunpeng ZHANG Lei XU Xinlei YI Zhengtao DING Karl H.JOHANSSON Tianyou CHAI Tao YANG State Key Laboratory of Synthetical Automation for Process Industries Northeastern University School of Electrical Engineering and Computer Science KTH Royal Institute of Technology School of Electrical and Electronic Engineering The University of Manchester

We consider the multiobjective optimization problem for the resource allocation of the multiagent network, where each agent contains multiple conflicting local objective functions. The goal is to find compromise solutions minimizing all local objective functions subject to resource constraints as much as possible, i.e., the Pareto optimums. To this end, we first reformulate the multiobjective optimization problem into one single-objective distributed optimization problem by using the weighted Lppreference index,where the weighting factors of all local objective functions are obtained from the optimization procedure so that the optimizer of the latter is the desired Pareto optimum of the former. Next, we propose novel predefined-time algorithms to solve the reformulated problem by time-based generators. We show that the reformulated problem is solved within a predefined time if the local objective functions are strongly convex and smooth. Moreover, the settling time can be arbitrarily preset since it does not depend on the initial values and designed parameters. Finally, numerical simulations are presented to illustrate the effectiveness of the proposed algorithms.

关键词： distributed optimization multiobjective optimization predefined-time algorithms time-based generators weighted ${L_p}$ preference index

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Towards Web Platform for Cloud-Based Virtual Commissioning of IEC 61499 Distributed automation Systems 29

Towards Web Platform for Cloud-Based Virtual Commissioning o...

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29th IEEE International Conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Lyu, Tuojian Nguyen, Tung Rumiantsev, Roman Kolesnikov, Mikhail Perera, Hansani Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350361230

In this paper, we propose a cloud-based virtual commissioning Web platform for IEC 61499 compliant distributed automation systems that support Create-Read-Update-Delete operations for SoftPLC containers from various versions and provide a remote engineering workstation with an embedded web Integrated Development Environment (IDE), Human Machine Interface (HMI), and 3D simulation models. A water tank use case demonstrates the platform's flexibility, enabling control software testing entirely via a Web browser without local installations. © 2024 IEEE.

关键词： Cloud platforms

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Optimal Function Block Distribution for IEC 61499 Distributed Control Application 3

Optimal Function Block Distribution for IEC 61499 Distribute...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Bojnurdi, Vahid Ehteshami Lyu, Tuojian Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Lulea Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798331540319

The efficient distribution of function blocks across programmable logic controllers (PLCs) is critical to improving the performance of distributed automation systems. This paper presents a novel randomized greedy optimization algorithm to minimize communication latency and maximize resource utilization by optimizing the allocation of function blocks across multiple PLCs in compliance with the IEC 61499 standard. Simulations demonstrate the effectiveness of the approach in achieving substantial performance improvements in distributed control applications. The results highlight the flexibility and scalability of the proposed optimization method, particularly in environments with varying PLC configurations. © 2024 IEEE.

关键词： Resource allocation

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Framework for Faster-Than-Real-Time Testing of IEC 61499 Applications with Embedded Process Simulation 22

Framework for Faster-Than-Real-Time Testing of IEC 61499 App...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Vyatkin, Valeriy Rumiantcev, Roman Department of Electrical Engineering and Automation Aalto University Espoo Finland Department of Computer Science Computer and Space Engineering Lulea Tekniska Universitet Sweden

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527471

This paper presents a novel framework for testing automation applications compliant with the international standard IEC 61499 and including process simulation. The framework enables automation programs to be run in testing mode faster than real time, validated by an external tester program. Application of the approach is illustrated on example of a simple component-based system. © 2024 IEEE.

关键词： Automatic testing

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