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A Multi-phase Deep Learning Approach for Predicting HCC Response to TACE using Complete Computed Tomography

A Multi-phase Deep Learning Approach for Predicting HCC Resp...

2023 IEEE EMBS Special Topic Conference on Data Science and engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Chang, Shun Cheng Liu, Chien Fu Misztal, Marta Hsieh, Yi Hsien Lin, Che Taiwan School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Electrical Engineering Ntu Taiwan Center for Computational and Systems Biology Center for Biotechnology Ntu Taiwan Smart Medicine and Health Informatics Program Ntu Taiwan

ISBN: (纸本)9798350383386

In this research study, we compare the predictive performance of two advanced deep learning-based models in order to provide a solution to TACE (Transarterial Chemoembolization) response prediction in HCC (Hepatocellular Carcinoma) patients. Using entire abdominal CT scans enabled a broader perspective available for the model, eliminating the need for segmentation during the preprocessing. Making use of both single-phase and multi-phase CT imaging, we have used DenseNet121 and have obtained an accuracy of 80% for the multi-phase *** Relevance: The ability to predict the effectiveness of TACE treatment prior to its administration makes it possible to provide a better decision-making aid for physicians and patients. © 2023 IEEE.

关键词： Computerized tomography

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Stability Analysis of Speed Control Systems for Variable Speed Wind Power Generation Systems Using SRG and Capacitor-Less AC-AC Converters

Stability Analysis of Speed Control Systems for Variable Spe...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Haozheng Jia Kazuhiro Ohyama Engineering Master's Program of Electrical Engineering Graduate School Fukuoka Institute of Technology Higashi-ku Fukuoka Japan Department of Electrical Engineering Faculty of Engineering Fukuoka Institute of Technology Higashi-ku Fukuoka Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper extends previous work on simulation models of switched reluctance generators (SRG) by demonstrating that selecting appropriate proportional-integral (PI) gain settings enables rapid adaptation to wind speed variations, thereby ensuring system stability. The study shows that employing continuously varying gains provides a detailed understanding of the system's dynamic performance, offering insights into the effects of different gain profiles on stability. The transient responses induced by changes in PI gain are effectively mitigated through the introduction of a compensatory signal derived from the system's maximum transient response. Alternatively, it has been demonstrated that a gain with a smooth transition profile, such as one based on a Bessel curve, achieves a comparable stabilizing effect by eliminating transient phenomena and improving response smoothness. These measures collectively enhance the system's stability and robustness, making the control framework more adaptable to dynamic conditions and offering practical insights for the design of wind power generation systems. The findings highlight the potential of these methods to optimize energy conversion and improve the operational reliability of SRG-based systems under varying wind speeds.

关键词： Transient response Renewable energy sources System dynamics Wind speed Velocity control Switches Wind power generation Stability analysis Robustness Transient analysis

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Valley filters using graphene blister defects from first principles

arXiv

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arXiv 2023年

作者： Uemoto, Mitsuharu Nishiura, Masaki Ono, Tomoya Department of Electrical and Electronic Engineering Graduate School of Engineering Kobe University Nada Kobe657-8501 Japan

Valleytronics, which makes use of the two valleys in graphenes, attracts considerable attention and a valley filter is expected to be the central component in valleytronics. We propose the application of the graphene valley filter using blister defects to the investigation of the valley-dependent transport properties of the Stone-Wales and blister defects of graphenes by density functional theory calculations. It is found that the intervalley transition from the K valley to the K′ valleys is completely suppressed in some defects. Using a large bipartite honeycomb cell including several carbon atoms in a cell and replacing atomic orbitals with molecular orbitals in the tight-binding model, we demonstrate analytically and numerically that the symmetry between the A and B sites of the bipartite honeycomb cell contributes to the suppression of the intervalley transition. In addition, the universal rule for the atomic structures of the blisters suppressing the intervalley transition is derived. Furthermore, by introducing additional carbon atoms to graphenes to form blister defects, we can split the energies of the states at which resonant scattering occurs on the K and K′ channel electrons. Because of this split, the fully valley-polarized current will be achieved by the local application of a gate voltage. Copyright © 2023, The Authors. All rights reserved.

关键词： Graphene

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Objective Sleep Quality Measurement based on Fuzzy Logic and Wearable Device

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Procedia Computer Science 2023年 227卷 1153-1162页

作者： Jason A. Wijaya Pauw D. Andersen Nico Surantha Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Department of Electrical Electronic and Communication Engineering Tokyo City University Japan

Sleep is the natural state of relaxation for human being. Sleep quality is an essential yet frequently neglected aspect of sleep in general. Sleep quality is essential because it allows the body to restore itself and prepare for the next day. The standard method for evaluating sleep quality was subjective evaluation. Actigraphy devices, which can measure the sleep cycle, are now widely available. This study developed a method using Fuzzy Logic and an actigraphy device to measure and classify sleep quality. The fuzzy logic method was developed in several stages, which are determining the sleep quality measurement parameters, constructing the fuzzy set for each input variable, and developing the fuzzy rules. To evaluate the proposed fuzzy model, five individuals were invited to participate in the experiment and required to complete the PSQI subjective sleep questionnaire. The evaluation result shows that our proposed Fuzzy model achieves lower error compared to the existing method.

关键词： sleep sleep quality actigraphy artificial intelligences fuzzy logic

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Observation of a downward terrestrial gamma-ray flash and the flash-induced neutrons 38

Observation of a downward terrestrial gamma-ray flash and th...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Tsuchiya, Harufumi Wada, Yuuki Enoto, Teruaki Nakazawa, Kazuhiro Nuclear Science and Engineering Center Japan Atomic Energy Agency Ibaraki Japan Division of Electrical Electronic and Infocommunications Engineering Graduate School of Engineering Osaka University Osaka Japan Department of Physics Graduate School of Science Kyoto University Kyoto Japan Extreme Natural Phenomena RIKEN Hakubi Research Team Cluster for Pioneering Research RIKEN Saitama Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe Nagoya University Aichi Japan

A downward terrestrial gamma-ray flash (TGF) occurred in association with a lightning discharge in 2017 November 24th. Observations of the downward TGF was made with scintillation detectors located at the Kashiwazaki-Kariwa nuclear power plant in the coastal area of the Japan Sea. Its intensity was so high that the scintillation counters were saturated, and hence the counters failed to correctly detect the downward TGF. After the intense emission of the TGF, high-energy gamma rays lasting for a few hundred ms were successfully observed utilizing the same scintillation counters. A simultaneous detection of neutrons with other scintillation counters was also performed alongside the detection of high-energy gamma rays. The simultaneous detection indicates the occurrence of photonuclear reactions in the lightning. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Gamma rays

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Encrypted Domain Secret Medical-Image Sharing with Secure Outsourcing Computation in IoT Environment

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IEEE Internet of Things Journal 2024年第2期11卷 2382-2393页

作者： Huang, Jingwang Cui, Qi Zhou, Zhili Yu, Keping Yang, Ching-Nung Choo, Kim-Kwang Raymond Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou510006 China Nanjing University Information Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Nanjing210044 China Nanyang Technological University School of Electrical and Electronic Engineering Jurong West639798 Singapore Guangzhou University Institute of Artificial Intelligence and Blockchain Guangzhou510006 China Hosei University Graduate School of Science and Engineering Tokyo184-8584 Japan National Dong Hwa University Department of Computer Science and Information Engineering Hualien974301 Taiwan The University of Texas at San Antonio Department of Information Systems and Cyber Security San AntonioTX78249 United States

In existing secret medical-image sharing (SMIS) schemes, to protect and manage secret medical-images (SMIs), the sharing and recovery of each SMI are implemented by local servers of medical institutions. However, since a lot of SMIs are produced by personal smart terminal devices in Internet of Things (IoT) environment, directly implementing the sharing and recovery processes will cause excessive communication and computing burden for those local servers, which makes the existing SMIS schemes not suitable for IoT environment. To address the above issue, we propose an encrypted domain SMIS (Enc-SMIS) scheme with secure outsourcing computation for protecting and managing medical images in IoT environment. In the proposed scheme, the medical images are first encrypted using fully homomorphic encryption (FHE) and then outsourced to a cloud server for generating a set of image shares. Subsequently, these shares are stored separately in different local servers of medical institutions. Furthermore, the recovery process is also outsourced to the cloud server when doctors need to observe the patients' medical images. Compared with the existing SMIS schemes, the proposed Enc-SMIS scheme alleviates the computing and communication burden on local servers significantly with secure outsourcing computation in the semi-honest model, and thus supports the storage and management of medical images well in IoT environment. © 2014 IEEE.

关键词： Internet of things

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Control Performance Assessment of a Zero Harmonic Distortion Grid-Forming Converter in Islanded Microgrids

Control Performance Assessment of a Zero Harmonic Distortion...

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IEEE Annual Southern Power electronics Conference (SPEC)

作者： Gabriel Vilkn Ramos Thiago Morais Parreiras Braz de Jesus Cardoso Filho Graduate Program in Electrical Engineering UFMG Belo Horizonte Brazil Department of Electrical Engineering CEFET-MG Belo Horizonte Brazil Department of Electrical Engineering UFMG Belo Horizonte Brazil

The world is currently witnessing a rapid transformation in the production and utilization of electrical energy. The traditional centralized generation model for electric power is swiftly evolving into a more decentralized system, known as Distributed Generation (DG), which incorporates renewable energy sources situated closer to end-users. This shift towards DG has paved the way for the emergence of grid-forming converters, which play a pivotal role in enhancing voltage and frequency stability within microgrids (MGs) and isolated applications. This transformation is primarily driven by the increasing prevalence of inverter-based energy resources. In isolated MGs, ensuring high power quality becomes a paramount concern due to the presence of potentially disruptive loads and the risk of resonance issues arising from the integration of multiple electronically interfaced distributed energy resources (DERs) and loads. This study focuses on assessing the performance of the Zero Harmonic Distortion (ZHD) control method when applied to grid-forming converters in both stand-alone and parallel operation modes. The distinctive feature of this converter lies in its inherent ability to generate a sinusoidal voltage source without the need for capacitive filtering components, which can adversely affect cost, efficiency, and size while potentially contributing to resonance problems. This is achieved through a judicious combination of harmonic cancellation within a three-winding transformer and the utilization of Selective Harmonic Elimination Pulse Width Modulation (SHE PWM) dismissing a closed-loop control structure. Simulation results presented in this work demonstrate the satisfactory performance of the ZHD grid-forming converter.

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Design of a Contact-force Controller Including Airframe’s Velocity and Acceleration Feedback Controllers for One-degree-of-freedom Propeller-Driven Systems

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IEEJ Transactions on Industry Applications 2022年第2期142卷 76-85页

作者： Nishii, Yuki Yashiro, Daisuke Yubai, Kazuhiro Komada, Satoshi Department of Electrical and Electronic Engineering Graduate School of Engineering Mie University 1577 Kurimamachiya Tsu Mie514-8507 Japan

Contact-force control of propeller-driven systems achieves aerial tasks that require contact motions with objects. Conventional contact-force controllers for propeller-driven systems utilize a contact-force feedback controller. Although the feedback gain should be high to achieve high target tracking performance, a high gain causes a large overshoot. This paper therefore proposes a novel contact-force controller which utilizes an airframe’s velocity and an airframe’s acceleration. An estimated acceleration and an estimated velocity of the airframe are fed back to the contact-force controller. A rotor angular velocity is utilized to estimate the acceleration. The validity of the proposed controller is verified through frequency analysis, simulation, and experiment. 2022 The Institute of electrical Engineers of Japan.

关键词： Antennas

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A Preliminary Study on the Collaborative Playing Piano Automatic with Deep Learning

A Preliminary Study on the Collaborative Playing Piano Autom...

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IEEE International Conference on Consumer electronics-Taiwan (ICCE-TW)

作者： Varinya Phanichraksaphong Karuna Yampray Department of Electronic Engineering International Graduate Program of Electrical Engineering and Computer Science National Taipei University of Technology Taipei Taiwan College of Creative Design and Entertainment Technology Dhurakij Pundit University Bangkok Thailand

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

A great number of deep learning-based models have been recently proposed for automatic piano classification. In this paper, we describe our contribution to the challenge of automatic piano classification when the performer performs at the concert or stage. Among these models in deep learning, we use init-1D-WaveNet and init-2D-MLNet for comparison the accuracy in the piano beginning level of the Christmas song (Jingle bells). Our experimental results show that the assessment using the init-2D-MLNet still achieve high accuracy of 87.5%.

关键词： Deep learning Accuracy Instruments Collaboration Consumer electronics

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NFT-Based Hydroponic Automated Control Using Adaptive Network-Based Fuzzy Inference System 2

NFT-Based Hydroponic Automated Control Using Adaptive Networ...

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2nd International Conference on Robotics, Automation and Artificial Intelligence, RAAI 2022

作者： Surantha, Nico Vincentdo, Vito Bina Nusantara University Binus Graduate Program - Computer Science Jakarta11480 Indonesia Tokyo City University Faculty of Scienc and Engineering Department of Electrical Electronics and Communication Engineering Japan

ISBN: (纸本)9781665459440

The rapid population growth and industrial development in developing countries harm the agricultural sector because many agricultural lands are converted into residential or industrial areas. Applying modern agriculture technologies such as hydroponic could help to overcome the problem. However, hydroponics requires special attention in adjusting the pH and nutrient levels to maximize plant growth, so an automated system is needed to manage the process. In this research, a smart hydroponic system is proposed by applying Adaptive Networkbased Fuzzy Inference System (ANFIS) and Internet-of-Things. The IoT system consists of sensor, actuator, and data processing layer is designed to monitor and control the condition of pH and nutrition of the observed plants. Then, the ANFIS algorithm is designed to control the level of pH and nutrition. The experiment results show that the system can automatically adjust the pH and nutrient levels to the expected range for growing plants, and the fuzzy controller made using ANFIS are more accurate and stable than the fuzzy controller made using Sugeno. This study shows that ANFIS has excellent performance when controlling multiple actuators, as long as the data set has great granularity and well defined. © 2022 IEEE.

关键词： Hydroponics

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