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3rd IEEE International Multidisciplinary Conference on engineering Technology, IMCET 2021

作者： Haidar Ahmad, Joelle El-Asmar, Alain Abi Zeid Daou, Roy Hayek, Ali Boercsoek, Josef Faculty of Public Health Biomedical Technologies Department Jounieh Lebanon MART Learning Education and Research Center Chananir Lebanon University of Kassel Faculty of Electrical Engineering/Computer Science Department of Computer Architecture and System Programming Germany

ISBN: (纸本)9781665405874

Independent mobility is an important feature of an individual's normal life and with the elderly population continually growing, assistive devices such as walkers and canes provide help and guidance to users. Freezing of Gait (FoG) is an episodic phenomenon that is a common symptom of an age-related disease known as Parkinson Disease (PD). This paper is headed toward implementing a detection, diagnosis and correction system for FoG episodes. The proposed cane will generate visual, auditory and tactile cues to help patients overcome this problem, therefore reducing fall risks. In addition, a vibrating calf cuff will be attached to the calf for muscle stimulation. A compatible android phone application is designed to display heart rate measurements of the patient as well as his exact location in case of fall detection. The system is considered to be an electrically safe, portable, comfortable and a low-cost device. The performance of this system is analyzed thoroughly and the accuracy of all methodologies is considered carefully and evaluated. The results have shown no faulty errors and good accuracy and detection percentages. © 2021 IEEE.

关键词： Diagnosis

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IoT approach to street lighting control using MQTT protocol 5th

IoT approach to street lighting control using MQTT protocol

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5th International Conference on Advanced engineering Theory and Applications, AETA 2018

作者： Kuncicky, Radim Kolarik, Jakub Soustek, Lukas Kuncicky, Lumir Martinek, Radek Department of Computer Science Faculty of Electrical Engineering and Computer Science VSB–Technical University of Ostrava Ostrava Czech Republic Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer Science VSB–Technical University of Ostrava Ostrava Czech Republic Department of Electrical Power Engineering Faculty of Electrical Engineering and Computer Science VSB–Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9783030149062

This article shows modern approach to street light control based on Ethernet network with Message Queuing Telemetry Transport (MQTT) protocol with ideas of Internet of Things (IoT). The real implementation of such a luminaire is shown, with following testing on BroadbandLIGHT polygon. We demonstrates advantages of our solution, which meet requirements of future cities, today many times called as a smart city. It obvious that this approach to connection and controlling of public light system allows fast expansion of Smart technologies and related services. In experimental part we primary discus requirements and influence of technology to network bandwidth. The original benefit of the study is to verify the functionality of IoT approach to street lighting control using real-time MQTT protocol. The realized experiments clearly confirmed the usability of the real-world public lighting infrastructure to cover the intravilan city with SMART technologies. © Springer Nature Switzerland AG 2020.

关键词： Internet of things

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World Models: The Safety Perspective 35

World Models: The Safety Perspective

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35th IEEE International Symposium on Software Reliability engineering Workshops, ISSREW 2024

作者： Zeng, Zifan Zhang, Chongzhe Liu, Feng Sifakis, Joseph Zhang, Qunli Liu, Shiming Wang, Peng Huawei Technologies Duesseldorf GmbH Rams Lab Munich Germany Technical University of Munich School of Computation Information and Technology Garching Germany Technical University of Berlin Faculty of Electrical Engineering and Computer Science Berlin Germany Univ. Grenoble Alpes Cnrs Grenoble Inp Verimag and SUSTECH/RITAS Grenoble France Huawei Technologies Co. Ltd. Rams Lab Shenzhen China

ISBN: (纸本)9798350367041

With the proliferation of the Large Language Model (LLM), the concept of World Models (WM) has recently attracted a great deal of attention in the AI research community, especially in the context of AI agents. It is arguably evolving into an essential foundation for building AI agent systems. A WM is intended to help the agent predict the future evolution of environmental states or help the agent fill in missing information so that it can plan its actions and behave safely. The safety property of WM plays a key role in their effective use in critical applications. In this work, we review and analyze the impacts of the current state-of-the-art in WM technology from the point of view of trustworthiness and safety based on a comprehensive survey and the fields of application envisaged. We provide an in-depth analysis of state-of-the-art WMs and derive technical research challenges and their impact in order to call on the research community to collaborate on improving the safety and trustworthiness of WM. © 2024 IEEE.

关键词： Intelligent agents

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KUKA Robot Language Parser for Product Adaptive Manufacturing

KUKA Robot Language Parser for Product Adaptive Manufacturin...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Robert Rosenstock Tim Wrütz Rolf Biesenbach Faculty of Electrical Engineering and Computer Science Bochum University of Applied Sciences Bochum Germany Institute for Automation and Industry 4.0 Bochum University of Applied Sciences Bochum Germany

The work reported in this paper enables to upload and activation of new programs to KUKA industrial robots during active operation, which would not be possible normally. By doing this it is possible to program those robots offline resulting in increased flexibility for modern manufacturing. The programs could be placed on work pieces to form a work-piece-driven production. Comparable projects increased the capabilities of robot programming by avoiding the KUKA Robot Language using high-level programming languages. Those approaches have proven themselves in the field of research. Nevertheless, this work tries a completely different approach by enabling offline programming and switching between programs while maintaining KRL the most used robot programming language for KUKA robots.

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A Dual Port Low Reflection Microwave Angular Displacement Sensor Based on Transversal Signal Interference Principle

A Dual Port Low Reflection Microwave Angular Displacement Se...

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IEEE SENSORS

作者： Desen Li Kam-Weng Tam Zhuowei Zhang Chi-Hou Chio Xin Zhou Qiwei Chen Junxiao Liu Ngai Kong Cheng Teng Hon-Pan Sio Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macao SAR China Macao Science Centre Macao SAR China Zhuhai Wujing Technology Co. Ltd Zhuhai China Laxen Technology Ltd Zhuhai China

ISBN: (数字)9798350363517

ISBN: (纸本)9798350363524

This paper presents the design and implementation of a novel dual-port low-reflection microwave angular displacement sensor that employs the transversal signal interference (TSI) principle to achieve high-precision and large-range dual-parameter sensing. It has good linearity in the sensing range of 0°-180°, and the sensitivity accuracy can reach 0.6 MHz/deg and 0.033 dB/deg. The sensor is specially designed to minimize reflection interference, and the sensor is low-reflective by integrating absorption filter networks both at the input and output ports, which greatly improves the practicality of microwave sensors in practical applications. Simulations and implementation measurements prove that the sensor can realize excellent linearity and dynamic range with low reflection characteristics.

关键词： Microwave measurement Wireless communication Wireless sensor networks Accuracy Linearity Interference Transversal filters Reflection Sensors Microwave filters

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Protein Complex Identification Method based on Weighted Subgraph Clustering and Biocompatibility Evaluation

Protein Complex Identification Method based on Weighted Subg...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Tie Hua Zhou Wanlin Zhang Ling Wang Xiaoyan Xia Keun Ho Ryu School of Computer Science Northeast Electric Power University Jilin China Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Vietnam College of Electrical and Computer Engineering Chungbuk National University Cheongju Republic of Korea

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

In this paper, we proposed a Weighted Subgraph Clustering for Protein Complex Identification (WSC-PCI) method , which combined with Gene Ontology (GO) annotations and improved Edge Clustering Coefficient (ECC) to indentify the protein complex over weighted Protein- Protein Interaction (PPI) network. By using the comprehensive weighted method to calculate the node weights within the PPI network, in order to mine the valuable and core subgraphs, which are related to the biologically significant and real protein complexes based on the core-attachment structure requirements. And then, calculating Biocompatibility value (BA-value) to identify potential proteins, which have more stable and good biocompatibility. By comparing with multiple algorithms on real datasets of different species, the results show that WSC-PCI outperforms other methods with regard to recall, precision and MMR, and the authenticity and biological significance of the identification results are verified by p-value analysis.

关键词： Proteins Protein engineering Accuracy Annotations Clustering methods Clustering algorithms Ontologies Biology Bioinformatics

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FOUNDATIONAL MODELS IN MEDICAL IMAGING: A COMPREHENSIVE SURVEY AND FUTURE VISION

arXiv

引用

arXiv 2023年

作者： Azad, Bobby Azad, Reza Eskandari, Sania Bozorgpour, Afshin Kazerouni, Amirhossein Rekik, Islem Merhof, Dorit Electrical Engineering and Computer Science Department South Dakota State University Brookings United States Faculty of Electrical Engineering and Information Technology RWTH Aachen University Aachen Germany Department of Electrical Engineering University of Kentucky Lexington United States Faculty of Informatics and Data Science University of Regensburg Regensburg Germany BASIRA Lab Imperial-X and Computing Department Imperial College London London United Kingdom School of Electrical Engineering Iran University of Science and Technology Tehran Iran dorit.merhofur.de

Foundation models, large-scale, pre-trained deep-learning models adapted to a wide range of downstream tasks have gained significant interest lately in various deep-learning problems undergoing a paradigm shift with the rise of these models. Trained on large-scale dataset to bridge the gap between different modalities, foundation models facilitate contextual reasoning, generalization, and prompt capabilities at test time. The predictions of these models can be adjusted for new tasks by augmenting the model input with task-specific hints called prompts without requiring extensive labeled data and retraining. Capitalizing on the advances in computer vision, medical imaging has also marked a growing interest in these models. With the aim of assisting researchers in navigating this direction, this survey intends to provide a comprehensive overview of foundation models in the domain of medical imaging. Specifically, we initiate our exploration by providing an exposition of the fundamental concepts forming the basis of foundation models. Subsequently, we offer a methodical taxonomy of foundation models within the medical domain, proposing a classification system primarily structured around training strategies, while also incorporating additional facets such as application domains, imaging modalities, specific organs of interest, and the algorithms integral to these models. Furthermore, we emphasize the practical use case of some selected approaches and then discuss the opportunities, applications, and future directions of these large-scale pre-trained models, for analyzing medical images. In the same vein, we address the prevailing challenges and research pathways associated with foundational models in medical imaging. These encompass the areas of interpretability, data management, computational requirements, and the nuanced issue of contextual comprehension. Finally, we gather the over-viewed studies with their available open-source implementations at our GitHub. We aim

关键词： Medical applications

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Transformer in computer Vision

Transformer in Computer Vision

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2021 IEEE International Conference on computer science, Electronic Information engineering and Intelligent Control Technology, CEI 2021

作者： Bi, Jiarui Zhu, Zengliang Meng, Qinglong University of California Irvine Faculty of Electrical Engineering and Computer Science IrvineCA92697 United States Macau University of Science and Technology Faculty of Information Technology China Shandong First Medical University Faculty of Radiology Shandong271000 China

ISBN: (纸本)9780738146492

Transformer is widely used in Natural Language Processing (NLP), in which numerous papers have been proposed. Recently, the transformer has been borrowed for many computer vision tasks. However, there are few papers to give a comprehensive survey on the vision-based transformer. To this end, we give an in-depth review of the vision-based transformer. We conclude 15 articles covering transformers on image object detection, multiple object tracking, action classification, and visual segmentation. Furthermore, we summarize 6 related datasets for corresponding tasks as well as their metrics. We also provide a comprehensive experimental comparison to validate the strength of transformer-based methods. We provide a brief introduction to the transformer and its applications on computer vision tasks, which can help beginners to recognize it. © 2021 IEEE.

关键词： Surveys

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Hotel Information System Management Audit Using COBIT 2019 - APO12

Hotel Information System Management Audit Using COBIT 2019 -...

引用

Innovation in Technology (INOCON), IEEE International Conference for

作者： Joy Nashar Utamajaya Suhono Harso Supangat Ford Lumban Gaol Benny Ranti BINUS Graduate Program School of Information System BINUS University Jakarta Indonesia School of Electrical Engineering and Informatic Bandung Institute of Technology Bandung Indonesia Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Faculty of Computer Science University of Indonesia Depok Indonesia

In general, public or private organizations or companies have used information-based technology as a support to improve business performance to be more effective and efficient in order to achieve a company’s business goals. Given the large contribution of information technology in the application of hotel applications as a supporting information system, it is a vital system that must avoid risks that can hinder and cause harm to the hotel management business processes. Therefore, it is necessary to carry out risk management using the COBIT 5 framework to manage possible risks that may occur based on the APO12 (Manage Risk) domain. From the evaluation results of the data obtained through observation and interviews as well as the calculation of the results of the questionnaire based on 6 APO12 subdomains, the results of the risk management level capability assessment in hotel applications are still at level 3 or have reached the level of established process with the target to be achieved at level 4 resulting in a gap of 1 level. Based on the results obtained, it is necessary to propose recommendations that can be used by hotels in improving the application of information technology risk management so that in the future it can achieve the expected target level so that the APO12 level of capability can increase and become more optimal.

关键词： Technological innovation Companies Risk management Information technology Interviews Information systems

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Code Converters Based on a Dynamic Optical RAM for Information System Facilities

Code Converters Based on a Dynamic Optical RAM for Informati...

引用

IEEE International Conference on Electronics and Nanotechnology (ELNANO)

作者： Andriy Semenov Serhii Tsyrulnyk Olena Semenova Anton Khloba Andrii Rudyk Serhii Baraban Faculty of Information Electronic Systems Vinnytsia National Technical University Vinnytsia Ukraine Department of Computer Science and Economic Cybernetics Vinnytsia National Agrarian University Vinnytsia Ukraine Department of Automation Electrical Engineering and Computer-Integrated Technologies National University of Water and Environmental Engineering Rivne Ukraine Faculty of Computing and Telecommunications Poznan University of Technology Poznan Poland

ISBN: (数字)9798350368178

ISBN: (纸本)9798350368185

In this paper, the authors propose a new dynamic optical RAM based on a fiber-optic line. This device significantly increases the speed of information flows by reducing the time required to operate the RAM by 10. The proposed optical RAM increases the productivity and efficiency of information exchange between slow and fast devices of information and communication systems without software costs, which reduces the probability of failure by two times with the same buffer memory capacity. The authors proposed variants of the practical application of the new dynamic optical RAM. On its basis, a shift register, a serial-to-parallel code converter, a parallel-to-serial code converter, and a TDM switch for information system facilities were created. The time characteristics of signals in code converters based on a dynamic optical RAM are presented.

关键词： Optical fibers Codes Optical switches Optical buffering Random access memory Time division multiplexing Shift registers Optical fiber devices High-speed optical techniques Information systems

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