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A Complex Brain Learning Skeleton Comprising Enriched Pattern Neural Network System for Next Era Internet of Things

Journal of Healthcare engineering 2023年第1期2023卷

作者： Venkatesh, J. Shukla, Prashant Kumar Ahanger, Tariq Ahamed Maheshwari, Manish Pant, Bhasker Hemamalini, R. Rani Halifa, Awal Center for System Design Department of Computer Science and Engineering Chennai Institute of Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Guntur522502 India College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Department of Computer Science & Applications Makhanlal Chaturvedi National University of Journalism and Communication Madhya Pradesh Bhopal India Computer Science & Engineering Graphic Era Deemed to Be University Uttarakhand Dehradun248002 India Department of Electrical and Electronics Engineering St. Peter's Institute of Higher Education and Research Tamil Nadu Chennai India Kwame Nkrumah University of Science and Technology Kumasi Ghana

The Internet of Things (IoT) is now growing dramatically on various levels and helps to digitize various vital industries quickly. The most difficult obstacle for BCIs to overcome is the fact that not everyone has the same brain. Every new session requires the BCI to learn from the user's brain, which is accomplished via the use of machine learning. However, this learning process is time-consuming. Calibration time refers to the amount of time it takes for the BCI to adapt to the user's brain in order to properly categorize their thoughts and determine their meaning. The patient has had to wait an arduous and tiresome length of time for the system to be completely functioning up until now because of this calibration, which may take up to 20-30 minutes. The aim of this paper was to find a way to decrease the amount of time required for calibration to the smallest amount feasible. In the first section of this paper, a first effort is made to determine the optimum number of features required for the BCI to operate reasonably, taking into consideration all of the calibration data provided. When the results were averaged across five participants, the percentage of properly identified thoughts was just 67.15 percent. Transfer learning was used in order to improve the performance of the BCI while simultaneously decreasing the calibration time. It is feasible to decrease the amount of calibration required for the categorization of thoughts coming from a new target subject by using knowledge collected from previously recorded subjects to the greatest extent possible in transfer learning. It was determined that existing methods were superior, and a new methodology was created that required just 24 seconds of calibration data while accurately identifying 86.8% of the thoughts. In order to alleviate mental stress and anger, the system suggested fits effectively with a deep learning network. This paper proposes a brain learning framework that uses a neural network model that is

关键词： Calibration

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HOPPING WITH AN ADAPTIVE HOP PROBABILITY DISTRIBUTION

HOPPING WITH AN ADAPTIVE HOP PROBABILITY DISTRIBUTION

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AAS/AIAA Astrodynamics Specialist Conference, 2020

作者： Englander, A.C. Englander, J.A. Carter, M.J. Department of Electrical and Computer Engineering University of New Hampshire Kingsbury Hall DurhamNH03824 United States Navigation and Mission Design Branch NASA Goddard Space Flight Center GreenbeltMD20771 United States Department of Electrical and Computer Engineering University of New Hampshire Kingsbury Hall W319 DurhamNH03824 United States

ISBN: (纸本)9780877036753

Monotonic Basin Hopping (MBH) is a stochastic global search technique that may be used to design complex interplanetary trajectories. Previous research on MBH empirically demonstrated that a bi-polar Pareto distribution is an effective way to generate search "hops." However, no analytical foundation exists to explain this performance. In this work we provide the beginning of that analytical foundation and also introduce a new variant of MBH that uses an adaptive probability distribution to generate the hops. The technique is demonstrated on historical interplanetary trajectory design problems. © 2021, Univelt Inc. All rights reserved.

关键词： Stochastic systems

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A User-centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS) 18

A User-Centered Evaluation of a COVID-19 Intelligent Query S...

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18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021

作者： Wu, Danny T.Y. Zhou, Fangyu Su, Wu-Chen Vu, Hoang Sahu, Piyush Harnett, Brett Chiu, Tseng-Ping Vogel, Craig Lee, James J. Department of Biomedical Informatics University of Cincinnati 231 Albert Sabin Way CincinnatiOH45229 United States Department of Pediatrics University of Cincinnati Cincinnati United States School of Design University of Cincinnati Cincinnati United States Department of Electrical Engineering and Computer Science University of Cincinnati Cincinnati United States Digital Scholarship Center University of Cincinnati Cincinnati United States Department of Industrial Design National Cheng Kung University Taiwan

ISBN: (纸本)9781643682648

As the fight against COVID-19 continues, it is critical to discover and accumulate knowledge in scientific literature to combat the pandemic. In this work, we shared the experience in developing an intelligent query system on COVID-19 literature. We conducted a user-centered evaluation with 12 researchers in our institution and identified usability issues in four categories: distinct user needs, functionality errors, suboptimal information display, and implementation errors. Furthermore, we shared two lessons for building such a COVID-19 literature search engine. We will deploy the system and continue refining it through multiple phases of evaluation to aid in redesigning the system to accommodate different user roles as well as enhancing repository features to support collaborative information seeking. The successful implementation of the COVID-IQS can support knowledge discovery and hypothesis generation in our institution and can be shared with other institutions to make a broader impact. © 2022 International Medical Informatics Association (IMIA) and IOS Press.

关键词： COVID-19

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Control of switching the dynamical modes of a memristor based chaotic circuit 4

Control of switching the dynamical modes of a memristor base...

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4th International Conference on Control in Technical Systems, CTS 2021

作者： Ostrovskii, Valerii Y. Zubarev, Alexander V. Rybin, Vyacheslav G. Karimov, Timur I. Department of Computer-Aided Design Saint-Petersburg Electrotechnical University "LETI" St. Petersburg Russia Department of Electrical Engineering Saint-Petersburg Electrotechnical University "LETI" St. Petersburg Russia Youth Research Institute Saint-Petersburg Electrotechnical University "LETI" St. Petersburg Russia

ISBN: (纸本)9781665424547

In this work, we consider complex dynamical phenomena in a modified Chua's circuit with a memristive element, we conduct a number of experiments to control its dynamical modes. The circuit model is represented by a fifth-order nonlinear dynamical system. The dynamical properties of the system are investigated in phase space using diagrams displaying bifurcations and regions of periodic and chaotic regimes. The paper presents a new approach to multistability control based on varying the symmetry coefficient of a semi-implicit finite-difference scheme. The results of numerical analysis confirm the suitability of this approach both for the complete suppression of multistability due to the transition to a fixed point or a single chaotic regime, and for fine tuning with access to the attractor of the required periodicity. © 2021 IEEE.

关键词： Nonlinear dynamical systems

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Correlation between Mechanical Properties and Collagen Degeneration in Fibrous Tissue

Correlation between Mechanical Properties and Collagen Degen...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Ippei Yagi Kazuki Koike Eiko Kato Satoshi Uchida Takaaki Kakihana Hironori Sunakawa Department of Electrical Engineering and Computer Science Graduate School of System Design Tokyo Metropolitan University Hachioji Tokyo Japan Biodesign Department Translational Research Center The University of Tokyo Hospital Tokyo Japan Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Kashiwa Chiba Japan

Fibrosis is a disease that causes abnormal accumulation of collagen and other extracellular matrix components. It can lead to organ failure and is responsible for one-third of all deaths worldwide. However, there is no cure for this disease, and the development of minimally invasive therapies is urgently needed. We have previously reported techniques for adjusting the shape and flexibility of fibrous tissue by traction while denaturing it with heat. However, studies comparing heat and traction on fibrous tissue are limited, so this paper examined that. Applying heat and traction to bovine Achilles tendon tissue has been shown to cause the denaturation of collagen molecules to accumulate in the tissue in response to these loads. Heat-induced collagen denaturation was nondirectional and omnidirectional, whereas mechanical stress-induced collagen denaturation was concentrated in the direction of traction. When both heat and traction were applied, collagen denaturation increased more than under a single load, indicating a synergistic effect.

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Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph 25

Way to Specialist: Closing Loop Between Specialized LLM and ...

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

作者： Yutong Zhang Lixing Chen Shenghong Li Nan Cao Yang Shi Jiaxin Ding Zhe Qu Pan Zhou Yang Bai School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China College of Design and Innovation Tongji University Shanghai China John Hopcroft Center for Computer Science Shanghai Jiao Tong University Shanghai China School of Computer Science and Engineering Central South University Changsha Hunan China School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Department of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798400712456

Large language models (LLMs) have demonstrated exceptional performance across a wide variety of domains. Nonetheless, generalist LLMs continue to fall short in reasoning tasks necessitating specialized knowledge, e.g., emotional sociology and medicine. Prior investigations into specialized LLMs focused on domain-specific training, which entails substantial efforts in domain data acquisition and model parameter fine-tuning. To address these challenges, this paper proposes the Way-to-Specialist (WTS) framework, which synergizes retrieval-augmented generation with knowledge graphs (KGs) to enhance the specialized capability of LLMs in the absence of specialized training. In distinction to existing paradigms that merely utilize external knowledge from general KGs or static domain KGs to prompt LLM for enhanced domain-specific reasoning, WTS proposes an innovative ''LLM↻KG'' paradigm, which achieves bidirectional enhancement between specialized LLM and domain knowledge graph (DKG). The proposed paradigm encompasses two closely coupled components: the DKG-Augmented LLM and the LLM-Assisted DKG Evolution. The former retrieves question-relevant domain knowledge from DKG and uses it to prompt LLM to enhance the reasoning capability for domain-specific tasks; the latter leverages LLM to generate new domain knowledge from processed tasks and use it to evolve DKG. WTS closes the loop between DKG-Augmented LLM and LLM-Assisted DKG Evolution, enabling continuous improvement in the domain specialization as it progressively answers and learns from domain-specific questions. We validate the performance of WTS on 7 datasets (e.g., TweetQA, ChatDoctor5k) spanning 6 domains, e.g., emotional sociology, medical, ect. The experimental results show that WTS surpasses the previous SOTA in 5 specialized domains, and achieves a maximum performance improvement of 11.3%.

关键词： domain knowledge graph

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Corundum and Monoclinic (Al1-Xinx)2o3 Alloys by Hybrid Functional Calculations

SSRN

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SSRN 2023年

作者： Liu, Xiaoli Liao, Yimin Goodrich, Justin Fu, Hanlin Tansu, Nelson Tan, Chee-Keong Guangzhou511453 China Guangdong Guangzhou511453 China Guangdong Guangzhou511453 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology 999077 Hong Kong Department of Electrical and Computer Engineering Clarkson University PotsdamNY13699 United States Materials Design Inc San DiegoCA United States Center for Photonics and Nanoelectronics Department of Electrical and Computer Engineering Lehigh University BethlehemPA18015 United States School of Electrical and Electronic Engineering The University of Adelaide AdelaideSA5005 Australia Institute for Photonics and Advanced Sensing The University of Adelaide AdelaideSA5005 Australia

Ga2O3 ultrawide bandgap semiconductor receives increasing attentions in recent years attributed to its ultra-wide band gap property, and investigations in quaternary AlInGaO revealed the possibility of obtaining larger band gap while achieving lattice-matching condition between the two materials. In this study, by using hybrid density functional theory calculations, an alternative III-oxide material utilizing indium and aluminum mixing to form (Al1-xInx)2O3 alloy (AlInO) is explored and systematically investigated. The lattice constants, bandgaps and bowing parameter are investigated for corundum and monoclinic AlInO with In-content from 0 to 100%. A notable decrease of bandgap energy of Al2O3 were observed with the increase of In content, providing a wide energy bandgap tuning range of 5.59 eV (corundum)/4.79 eV (monoclinic). In addition, results of band alignment present both type-I/type-II band offset in AlInO/β-Ga2O3 structure among the whole composition range. The energy band gap of AlInO ranges from 7.93 eV to 2.77 eV for monoclinic AlInO, and 7.89 eV to 2.84 eV for corundum AlInO, in which the conduction band position exhibits a sharp upward and becomes dominant in bandgap tuning. Our work indicated that AlInO alloys could potentially be a lattice-matched material with β-Ga2O3 for the electronic and optoelectronic applications. © 2023, The Authors. All rights reserved.

关键词： Energy gap

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Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound

arXiv

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arXiv 2023年

作者： Velikova, Yordanka Azampour, Mohammad Farid Simson, Walter Esposito, Marco Navab, Nassir Computer Aided Medical Procedures Technical University of Munich Munich Germany Department of Radiology Stanford University School of Medicine StanfordCA United States Department of Electrical Engineering Sharif University of Technology Tehran Iran ImFusion GmbH Munich Germany Munich Center for Machine Learning Github Repository Germany

Ultrasound (US) imaging is widely used in diagnosing and staging abdominal diseases due to its lack of non-ionizing radiation and prevalent availability. However, significant inter-operator variability and inconsistent image acquisition hinder the widespread adoption of extensive screening programs. Robotic ultrasound systems have emerged as a promising solution, offering standardized acquisition protocols and the possibility of automated acquisition. Additionally, these systems enable access to 3D data via robotic tracking, enhancing volumetric reconstruction for improved ultrasound interpretation and precise disease diagnosis. However, the interpretability of 3D US reconstruction of abdominal images can be affected by the patient’s breathing motion. This study introduces a method to compensate for breathing motion in 3D US compounding by leveraging implicit neural representations. Our approach employs a robotic ultrasound system for automated screenings. To demonstrate the method’s effectiveness, we evaluate our proposed method for the diagnosis and monitoring of abdominal aorta aneurysms as a representative use case. Our experiments demonstrate that our proposed pipeline facilitates robust automated robotic acquisition, mitigating artifacts from breathing motion, and yields smoother 3D reconstructions for enhanced screening and medical diagnosis. Copyright © 2023, The Authors. All rights reserved.

关键词： Robotics

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Observer Decomposition for Finite State Machines and its Application to Opacity

Observer Decomposition for Finite State Machines and its App...

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IEEE Conference on Decision and Control

作者： Bushra Bushra Elena De Santis Maria Domenica Di Benedetto Giordano Pola Department of Information Engineering Computer Science and Mathematics (DISIM) Center of Excellence DEWS (Design methodologies for Embedded controllers Wireless interconnect and System on chip) University of L’Aquila L’Aquila Italy Dept. of Electrical and Information Engineering Via Re David 200 Polytechnic of Bari(DAuSy administrative headquarters) Bari Italy

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

In this paper, motivated by wide applications of observers in analyzing different properties of Finite State Machines (FSM), we propose a decomposition technique into subobservers and show how its use can reduce the computational cost of checking properties of FSM that need the design of an observer. We define the notion of total indistinguishability and use the notion of critical observability for the design of the sub-observers. Switching observers are introduced which are constructed by appropriately switching among the set of sub-observers, thereby allowing a traditional observer to be replaced by sub-observers. The methodology is applied to check opacity. An example is also presented to illustrate the results.

关键词： Automata Switches Observers Computational efficiency Observability

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The Pairing Analysis Improvement of Magnetized Structure in Electromagnetic Bulging Process in Case of Tube with Field Shaper

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Journal of Electromagnetic Analysis and Applications 2024年第4期16卷 43-67页

作者： Blaise Kevine Lenz Soronga Zhanqian Zhan Jing Liu Jonas Asamoah Mohamed Bangali Bangura Matala Makiese N’kodia Kambani Chrionie Md Jobayer Hossain Yongdong Chen Program Debugging and Design Department Guangdong Lyric Robot Automation Co. Ltd Huizhou China Electrical and Automation Department China Three Gorges University Yichang China Electronic Department Power Electronic Research Center University of Kent Giles Ln Canterbury UK Program Debugging Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China Electrical and Computer Engineering Department South China University of Technology Guangzhou China World Standardization Certification and Testing Group (Shenzhen) Co. Ltd. Shenzhen China Electrical Engineering-Power System Mapon University Kindu Democratic Republic of Congo Department of Economy Managment School of Management Computer and Telecomunication Rabbat Marocco Materials Visual Calibration Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China Program Design Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China

In the current practical science, the accuracy in the formability of metal alloys being the goal when using electromagnetic forming (EMF) technology, which is a high-speed processing technology that uses Lorentz forces to achieve plastic deformation of sheet metal;according to the previous analysis, the results have shown that in most cases, the Lorentz force acting on the workpiece (metal) is not uniform, there are uneven axial deformations of the metal plates which prevent the rapid advancement of today’s technology. In this article, we presented some advanced analyzes which will lead us to improve the technical solution for the problems of non-uniform axial deformations of the metals in the traditional tube electromagnetic forming technology (EMF). A field shaper is used as a practical forming tool to influence the magnetic field and magnetic pressure distribution, thereby improving the forming ability and result during the electromagnetic forming (EMF) process and we see that induced eddy current control is realized by changing the structural parameters of the magnetic field shaper;which improves the strength and controllability of the magnetic force that acts on the workpiece;thereby a greater radial magnetic pressure can be achieved with field shaper than the case without it;the field shaper regulates the electromagnetic force, the distribution of the magnetic pressure decreases, and the uniform force area of the tube increases which effectively enhances the uniform range of the pipe electromagnetic bulging and the electromagnetic induction coupling between the coil and the metallic workpiece is generally required to produce the Lorentz forces. Using COMSOL Multiphysics® simulation software helped us to accurately represent the real world, simulating multiple physical effects that happened in this model during the process.

关键词： Electromagnetic Forming Field Shaper Lorentz Force Magnetic Pressure Distribution

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