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2025 IEEE International Conference on Consumer Electronics, ICCE 2025

作者： Huang, Xiang-Rui Ke, Huai-Jhan Kuo, Szu-Yu Chen, Liang-Bi Master Program in Electrical Engineering and Computer Science Department of Electrical Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Shipping and Transportation Management National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan

ISBN: (纸本)9798331521165

Lilies are popular in the global flower market, but consumers often lack information about specific varieties. To address this issue, this paper proposes a computer recognition platform based on the Vision Transformer (ViT) architecture. The proposed platform uses an improved vision transformer (ViT) architecture to classify different types of lilies, allowing consumers to access information and names of various Lilium species. The experimental results show that the proposed lily classification model achieved a 96.4% accuracy rate in classifying six lily species. © 2025 IEEE.

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Bioactive superparamagnetic iron oxide-gold nanoparticles regulated by a dynamic magnetic field induce neuronal Ca^(2+)influx and differentiation

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Bioactive Materials 2023年第8期26卷 478-489页

作者： Elias Georgas Muzhaozi Yuan Jingfan Chen Ya Wang Yi-Xian Qin Department of Biomedical Engineering The State University of New York at Stony BrookStony BrookNYUnited States J.Mike Walker’66 Department of Mechanical Engineering Texas A&M UniversityCollege StationTXUnited States Department of Biomedical Engineering Texas A&M UniversityCollege StationTXUnited States Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTXUnited States

Treating neurodegenerative diseases,e.g.,Alzheimer’s Disease,remains a significant challenge due to the limited neuroregeneration rate in the *** objective of this study is to evaluate the hypothesis that external magnetic field(MF)stimulation of nerve growth factor functionalized superparamagnetic iron oxide-gold(NGF-SPIO-Au)nanoparticles(NPs)can induce Ca^(2+)influx,membrane depolarization,and enhance neuron differentiation with dynamic MF(DMF)outperforming static MF(SMF)*** showed the that total intracellular Ca^(2+)influx of PC-12 cells was improved by 300%and 535%by the stimulation of DMF(1 Hz,0.5 T,30min)with NGF-SPIO-Au NPs compared to DMF alone and SMF with NGF-SPIO-Au NPs,respectively,which was attributed to successive membrane *** uptake performed with the application of sodium azide proved that DMF enhanced cellular uptake of NGF-SPIO-Au NPs via *** addition,DMF upregulated both the neural differentiation marker(β3-tubulin)and the cell adhesive molecule(integrin-β1)with the existence of NGF-SPIO-Au NPs,while SMF did not show these *** results imply that noninvasive DMF-stimulated NPs can regulate intracellular Ca^(2+)influx and enhance neuron differentiation and neuroregeneration rate.

关键词： Calcium influx Membrane potential Dynamic magnetic fields Neuroregeneration SPIO-Au Core-shell nanoparticles

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Temperature-Dependent Hydrogen Modulations of Ultra-Scaled a-IGZO Thin Film Transistor Under Gate Bias Stress

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2024年 5卷 9-16页

作者： Aslam, Muhammad Chang, Shu-Wei Chuang, Min-Hui Chen, Yi-Ho Lee, Yao-Jen Li, Yiming Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electrical Engineering National Cheng Kung University Tainan701401 Taiwan Institute of Communications Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Graduate Degree Program of College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Biomedical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan

Recently, a-IGZO has advanced toward the next-generation electronics system because of its compatibility with complementary metal oxide semiconductor (CMOS) and back-end-of-line (BOEL) based systems. A systematic electrical characterization of a-IGZO TFT related to reliability issues, such as positive bias temperature stress (PBTS) and negative bias temperature stress (NBTS), would entitle its integration into novel electronics systems. Unexpectedly, PBTS is characterized by the transition of positive Vth shift to negative Vth shift (ΔVth, the positive shift followed by the stress and temperature activated negative shift). This transition is attributed to charge trapping/trap-site generations and hydrogen migration to the active layer. The ΔVth shift mechanism depends on the temperature and voltage stress. On the other hand, a negative ΔVth shift has been observed during the NBTS operation and could be attributed to the hole trapping at the interface of GI/IGZO. An effective suppression of the gate leakage current has also been observed during reliability tests. Simulation results reveal a pronounced potential at the edges of source and drain regions, and considered the origin of hydrogen migration into the IGZO layer. Thermal image results also reveal the strong temperature/potential distribution at the edges of the source/drain regions, indorsing the simulation results. © 2020 IEEE.

关键词： Oxide semiconductors

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optimizing Furniture Assembly: A CNN-based Mobile Application for Guided Assembly and Verification 9

optimizing Furniture Assembly: A CNN-based Mobile Applicatio...

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9th International Conference on Optimization and Applications, ICOA 2023

作者： Elhassan, Gasm Elbary Yasser, Ibrahim Faizal, Mohamed Omer Zia, Huma Abu Dhabi University Department of Electrical Computer and Biomedical Engineering Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350312546

Building products based o written instructions can be challenging for individuals, often leading to difficulties during the assembly process. This project presents a mobile application that guides users through the assembly process and verifies assembly correctness using image comparison techniques. The application features manufacturer and consumer modes, allowing manufacturers to add assembly steps and users to access provided assembly instructions for a given product. Cross-platform compatibility is achieved with React-Native and Expo Go, while image matching is implemented by incorporating computer vision and machine learning techniques, specifically utilizing a Siamese Network architecture. Amazon Web Services (AWS) supports content delivery and storage. An IKEA table and kids chair assembly serves as a demonstrative example. By offering step-by-step guidance and feedback based on similarity indexes, the application optimizes the efficiency and accuracy of furniture assembly. The project showcases the system's practicality, particularly in enhancing the assembly process for various furniture items, exemplified by the IKEA products. © 2023 IEEE.

关键词： Assembly

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Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis 24

Predicting and Explaining Risk of Disease Worsening Using Te...

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24th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF-WN 2023

作者： Buonocore, Tommaso Mario Bosoni, Pietro Nicora, Giovanna Vazifehdan, Mahin Bellazzi, Riccardo Parimbelli, Enea Dagliati, Arianna Department of Electrical Computer and Biomedical Engineering University of Pavia Via Ferrata 5 Pavia27100 Italy

We present an evaluation study of the usage of two different post-hoc model agnostic XAI methods, namely SHAP and AraucanaXAI, to provide insights about the most predictive factors of worsening in MS patients, based on clinical observations carried out during a period of 2.5 years. We pre-processed the temporal features considering a Latent Class Mixed Modelling (LCMM) approach in order to discover and extract temporal trajectories as an additional informative feature. The different XAI approaches are compared according to four quantitative evaluation metrics consisting in identity, fidelity, separability and time to compute an explanation. Furthermore, a qualitative comparison of post-hoc generated explanations is carried out on specific scenarios where the ML model predicted the outcome incorrectly, in the effort to debug potentially problematic model behaviour. The combination of the qualitative and quantitative results forms the basis for a critical discussion of XAI methods properties and desiderata for healthcare applications at large, advocating for more meaningful and extensive XAI evaluation studies involving human experts. © 2023 Copyright for this paper by its authors.

关键词： Machine learning

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Generation and propagation of dissipative optical solitons in fiber cavities

Generation and propagation of dissipative optical solitons i...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Cristiani, Maria Department of Electrical Computer and Biomedical Engineering University of Pavia Via Ferrata 5 Pavia27100 Italy

Here we present some early experimental studies on the propagation of optical pulses in fiber cavities that provided significant insights for the comprehension of the complex dynamics underlying dissipative soliton pr... 详细信息

ISBN: (纸本)9781957171258

关键词： Solitons

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Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality

Digital Twin-Based 3D Map Management for Edge-Assisted Mobil...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Zhou, Conghao Gao, Jie Li, Mushu Cheng, Nan Shen, Xuemin Sherman Zhuang, Weihua University of Waterloo Department of Electrical and Computer Engineering Canada Carleton University School of Information Technology Canada Toronto Metropolitan University Department of Electrical Computer and Biomedical Engineering Canada Xidian University School of Telecommunication Engineering Xi'an China

ISBN: (纸本)9798350345384

In this paper, we design a 3D map management scheme for edge-assisted mobile augmented reality (MAR) to support the pose estimation of individual MAR device, which uploads camera frames to an edge server. Our objective is to minimize the pose estimation uncertainty of the MAR device by periodically selecting a proper set of camera frames for uploading to update the 3D map. To address the challenges of the dynamic uplink data rate and the time-varying pose of the MAR device, we propose a digital twin (DT)-based approach to 3D map management. First, a DT is created for the MAR device, which emulates 3D map management based on predicting subsequent camera frames. Second, a model-based reinforcement learning (MBRL) algorithm is developed, utilizing the data collected from both the actual and the emulated data to manage the 3D map. With extensive emulated data provided by the DT, the MBRL algorithm can quickly provide an adaptive map management policy in a highly dynamic environment. Simulation results demonstrate that the proposed DT-based 3D map management outperforms benchmark schemes by achieving lower pose estimation uncertainty and higher data efficiency in dynamic environments. © 2023 IEEE.

关键词： Cameras

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Optimizing DC Motor Control via Leader Harris Hawks Algorithm with ITSE-ZLG Objective Function 10

Optimizing DC Motor Control via Leader Harris Hawks Algorith...

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10th IEEE International Conference on Power Systems, ICPS 2023

作者： Ayinla, Shehu Lukman Amosa, Temitope Ibrahim Rahman, Md. Siddikur Owonikoko, Waheed Rahman, Md Ashiqur Barua, Sourav Rahman, Tuhibur Liou, Molla Shahadat Hossain Department of Electrical and and Electronics Engineering Seri Iskandar Perak Malaysia University of Ilorin Department of Computer Engineering Ilorin Nigeria University of Vermont Department of Electrical and Biomedical Engineering Burlington United States Green University of Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350318739

Proportional Integral and Derivative (PID) controllers are widely employed to normalize the response of numerous DC motor-powered systems, such as electric locomotives, traction systems, etc. Specifically, this category of controller is ubiquitous due to their simplicity, ease of control, and low-cost. However, their design parameters need to be carefully tuned to enhance control performance. A novel LHHO-PID controller with a compound objective function that combine Integral of Time multiplied Squared Error (ITSE) with Zwee-Lee Gaing's (ZLG) time-domain performance criterion is presented in this current study to enhance the control performance of a DC motor system. The system's performance was assessed by analyzing its response across various dimensions, including frequency responses, convergence profile and time. The results demonstrated that the developed PID-based controller exhibited a commendable performance in regulating the DC motor speed as compared to other existing PID-based controllers in the domain. The time response analysis showed an improvement of 7.2% compared to the best performing controller in rise time, a settling time of 0.1204 seconds, zero overshoot and negligible steady state error. These findings indicate that the proposed LHHO-PID controller has the capacity to regulate the speed of a DC motor efficiently in a variety of industrial applications. © 2023 IEEE.

关键词： DC motors

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Optical Readout Techniques for Smart Detection of Fluids in the Near Infrared Wavelength Region by Means of Rectangular Glass Micro-capillaries

Optical Readout Techniques for Smart Detection of Fluids in ...

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Annual Italian Conference on Sensors and Microsystems, AISEM 2021

作者： Bello, Valentina Bodo, Elisabetta Merlo, Sabina Department of Electrical Computer and Biomedical Engineering University of Pavia Via Ferrata 5 Pavia27100 Italy

ISBN: (纸本)9783031081354

Three different approaches for the analytical detection of fluids by means of rectangular glass micro-capillaries working in the near infrared wavelength region are presented. At first, a non-specific refractometric measurement for the detection of glucose concentration in solutions is reported, exploiting the micro-capillaries as optical resonators: by monitoring the spectral shift of the ratio between the transmitted and reflected optical spectra (T/R) from the capillary, it is possible to extract the wavelength positions of the cavity resonances (maxima of T/R) for fluids with different refractive index. When the refractive index of the sample fluid filling the channel increases, a shift towards longer wavelengths is observed. Then, a spectral phase shift interferometric technique for the detection of the wavelength position of the resonances is proposed. When the capillary is inserted in an interferometric setup, it is possible to distinguish fluids by knowing the dependence of the wavelength positions of the steep jumps in the cosine signal on the refractive index of the filling fluid. Finally, the potentiality of micro-capillaries is investigated for specific sensing, exploiting absorption spectroscopy. All the proposed optical readout approaches are remote, contactless and non-invasive. In addition, the glass-micro-capillaries are very suitable for analytical detection of fluids: they are low-cost devices, available in several formats. Thanks to their micrometric size, they can be incorporated in micro-fluidic circuits. Borosilicate glass is a bio-compatible material, allowing the use of the micro-fluidic platforms in a wide range of applications for label-free optical sensing. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Absorption spectroscopy

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Designed harmonic step filter automatic control system to improve power quality and electric efficiency

Designed harmonic step filter automatic control system to im...

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2024 International Conference on Power Electronics and Energy System, ICPEES 2024

作者： Pasaribu, Faisal Irsan Sara, Ira Devi Tarmizi, Tarmizi Nasaruddin, Nasaruddin Doctoral Program School of Engineering Universitas Syiah Kuala Aceh23111 Indonesia Department Electrical and Computer Engineering Universitas Syiah Kuala Aceh23111 Indonesia

Good power quality and high-power efficiency are important aspects of power system management. Harmonic, as an unwanted frequency component in electrical signals, can interfere with power quality and reduce electrical efficiency. A passive harmonic filter is a device used to reduce or filter harmonics in electrical power systems. This research proposes technology Internet of Things with an automatic control system that moves the step filter to solve the harmonic problem, with the aim of improving the quality of power and electrical efficiency. The step filter functions to identify and isolate the harmonic, thus enabling appropriate controls to suppress the impact of the harmonic. The proposed system uses sophisticated control algorithms using sensors that can read current, voltage, frequency, and power factor to adjust the step filter parameters dynamically, following changes in load conditions and harmonizing. Simulation of the control network using the proteus software is subsequently undertaken in further research to design the control device. Using an automatic control set in the control simulation results reduced the need for manual intervention and let the system adjust the step filter automatically in response to changing network conditions. This showed that this method worked to lower harmonic distortion, increases the power factor through the filter used, and make the system more energy efficient overall. The study emphasizes the importance of applying sophisticated control strategies to manage harmonics efficiently, which ultimately paves the way to a cleaner and more reliable power grid. © Published under licence by IOP Publishing Ltd.

关键词： Power quality

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