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SSrN 2024年

作者： Lim, Changhyun Jeon, Hyun-Jun Jung, Woojae Kwak, Youngshin Lee, Myong Young Ham, Jung Hyun Joo, Hyun Bin Kwon, Oh-Sang Chung, dongil Department of Biomedical Engineering Ulsan National Institute of Science and Technology Ulsan Korea Republic of TV Picture Quality Development Gr. TV R&D Center of LG Electronics Korea Republic of

Image quality evaluation of electronic displays is inherently subjective. To date, user studies in focus groups and viewers’ self-reports have been the primary sources of feedback used as judgment criteria for the display quality. However, little has been known whether the measured responses to visual stimuli, other than self-reports, reflect the objective and subjective levels of image quality on displays. Here, we used electroencephalogram (EEG) and eye-tracking to investigate whether individuals’ neural and physiological responses to visual stimuli track three objectively discerned levels of image quality, as well as their self-ratings on vividness. Our findings reveal that shared and dissociable sets of neurophysiological features successfully tracked both the objective and subjective perspectives of image quality. The current research underscores the effectiveness of EEG and eye-tracking as potential quantitative tools for assessing both the objective image quality disparities and the subjective affective nuances in users' visual display experiences. © 2024, The Authors. All rights reserved.

关键词： Eye tracking

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Synthesis and Up-Conversion Luminescence Properties of Er-doped Caf2 Nanoparticles

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SSrN 2024年

作者： Tian, ran Yin, Zhi-Jiang Li, Hui Yang, Ji Wang, Wen-Yuan An, Yu-Qiang Wu, Li-Jun Yang, Ze-Yuan Yang, Xing Ge, Zhen-Hua R&D Center of China Tobacco Yunnan Industrial Co. Ltd. Kunming650032 China Faculty of Materials Science and Engineering Kunming University of Science and Technology Kunming650093 China

Calcium fluoride possesses a broad band gap, enabling it to exhibit up-conversion luminescence across an extensive variety of absorption spectra. The up-conversion luminescence performance is influenced by particle size, dispersion homogeneity, and the manufacturing method. This study successfully synthesizes CaF2 nanoparticles with a consistent microstructure using a hydrothermal technique by adjusting the reaction duration and temperature. The rare elements were evaluated to attain the up-conversion luminous performance for the CaF2 samples. The up-conversion luminous performance of CaF2 materials is examined using erbium doping. The findings indicate that the incorporation of the Er element into the CaF2 lattice leads in a reduction of the bandgap. The up-conversion luminescence performance of Er-doped samples is enhanced by Er doping in the CaF2 matrix, facilitating energy transfer. The Ca0.97Er0.03F2 sample has the maximum up-conversion spectrum intensity at a power density of 52.28 W/cm2, indicating significant potential applications in laser technology, display systems, optical storage, information security, biological imaging, and medical diagnosis and treatment. © 2024, The Authors. All rights reserved.

关键词： Luminescence of inorganic solids

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Performance Prediction Process of Outer rotor PMSM Through 3-d Flux Coefficient Using Equivalent 2-d FEA

Performance Prediction Process of Outer Rotor PMSM Through 3...

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IEEE Conference on Electromagnetic Field Computation

作者： Moo-Hyun Sung Kyoung-Soo Cha Young-Hoon Jung Jae-Han Sim Soon-O Kwon Myung-Seop Lim Department of Automotive Engineering(Automotive-Computer convergence) Hanyang University Seoul Republic of Korea Advanced Mechatronics R&D Group Korea Institute of Industrial Technology Daegu Republic of Korea Department of Automotive Engineering Yeungnam University Gyeongsan Republic of Korea Power Electronics Lab. H&A R&D Center LG Electronics Seoul Republic of Korea

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

In this article, we propose an equivalent 2-d finite element analysis (FEA) process considering the 3-d flux of an outer rotor permanent magnet synchronous motor (PMSM). In motor, 3-d flux such as axial leakage flux (ALF) and overhang fringing flux (OFF) are influenced based on design variables. 3-d FEA is required to consider the components of 3-d flux. However, 3-d FEA is inefficient to use during the design process because of time-consuming. Therefore, we propose an equivalent FEA that considers 3-d flux. First, the effects of ALF and OFF according to design variables such as rotor inner and outer diameter, stack length, and overhang length. Second, the 3-d flux is converted into coefficient. Finally, it is applied to 2-d FEA. Using the proposed process, motor performance considering 3-d flux can be quickly predicted. The proposed performance prediction process is verified through simulation and experiment.

关键词： rotors Permanent magnet motors Finite element analysis Electromagnetic fields

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Electrochemically deposited Au nano-island on laser-scribed graphene substrates as EC-SErS biochips for uremic toxins detection

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Journal of the Taiwan Institute of Chemical Engineers 2024年 163卷

作者： Juang, ruey-Shin Wang, Kuan-Syun Chen, Yun-Chu Chu, Yu-Ju Lin, Ying-Jun Liu, Shou-Hsuan Lin, ding-Zheng Liu, Ting-Yu Department of Chemical and Materials Engineering Chang Gung University Taoyuan Guishan33302 Taiwan Division of Nephrology Department of Internal Medicine Chang Gung Memorial Hospital Linkou Taiwan Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City243303 Taiwan Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Materials Engineering Ming Chi University of Technology New Taipei City243303 Taiwan College of Engineering & Center for Sustainability and Energy Technologies Chang Gung University Taoyuan33302 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan City32003 Taiwan Center for Environmental Sustainability and Human Health R&D Center of Biochemical Engineering Technology Ming Chi University of Technology New Taipei City24301 Taiwan

Background: Chronic kidney disease (CKd) leads to uremic toxin buildup, requiring early detection for better management. Existing methods lack sensitivity, speed, or affordability for point-of-care diagnosis. This work addresses this by creating a novel sensor for rapid, sensitive uremic toxin detection. Methods: The sensor leverages the combined effects of surface-enhanced raman scattering (SErS) and electrochemistry (EC) for superior detection. The LIG substrate provides a stable platform for AuNPs, facilitating interaction with target molecules. Additionally, electrochemical deposition optimizes the sensor's sensitivity by amplifying the local electromagnetic field around AuNPs and offering specific binding sites for uremic toxins. Significant findings: The developed sensor demonstrates exceptional performance in detecting uremic toxins. It achieves remarkably low detection limits (10-3 M for creatinine/uric acid, 10-4 M for urea) and offers distinct, concentration-dependent responses for different toxins in cyclic voltammetry (CV) measurements. Furthermore, characteristic oxidation peaks at specific potentials allow for direct identification and quantification of the toxins. These findings highlight the immense potential of this cost-effective and scalable sensor for point-of-care diagnostics and remote monitoring of kidney function. This advancement can significantly improve patient care by facilitating early detection of kidney problems and enabling timely intervention. © 2024 Taiwan Institute of Chemical Engineers

关键词： Graphene

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The Impact of the Heat Leakage on Thermoelectric Generator Applied in Engine Waste Heat recovery

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SSrN 2024年

作者： Zhang, Ning Wang, Jiawei Li, Yuhuai Lan, Jianglin Lan, Song Powertrain Technology R&D Center Guangzhou Automobile Group Research and Development Center 510000 China School of Automotive and Transportation Engineering Hefei University of Technology 230009 China James Watt School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom

Efforts to enhance the performance of thermoelectric generators (TEGs) in engine waste heat recovery have primarily focused on increasing heat extraction and energy conversion. However, the impact of heat leakage has been consistently overlooked in both modeling and optimization endeavors. To address this gap, this study establishes and validates a computational fluid dynamic (CFd) - finite element (FE) coupled model based on a TEG prototype and its engine test bench. Unlike other models, the approach employed here captures the intricate dynamics of heat propagation from the TEG via air gaps, encompassing conduction, convection, and radiation. Through comprehensive analysis, it is revealed that heat leakage accounts for approximately 11% of TEG power output loss. Key areas of heat leakage are identified and numerical factors influencing this phenomenon are explored. Vertical TEG placement and a 15 mm spacing between thermoelectric modules emerge as optimal strategies for mitigating heat leakage's impact on power output. Leveraging these insights, strategic thermoelectric module placement, vertical TEG orientation and the application of thermal insulation materials for the heat exchanger are proposed as effective measures to enhance TEG power output by 5% approximately. The experimental and numerical results underscore the feasibility of optimizing TEGs from the perspective of heat leakage, a crucial aspect previously overlooked. These findings provide valuable insights for future TEG optimization endeavors, highlighting the importance of addressing heat leakage to maximize TEG performance. © 2024, The Authors. All rights reserved.

关键词： Waste heat utilization

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Evaluation of permeability and steel corrosion in hardened cement paste with small amount of latex

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Zairyo/Journal of the Society of Materials Science, Japan 2021年第8期70卷 596-603页

作者： Azuma, Yosuke Katayama, Taiki Miyazato, Shinichi R&D Center Oriental Shiraishi Corporation Kinugaoka Moka321-4367 Japan Graduate School Kanazawa Institute of Technology Yatsukaho Hakusan924-0838 Japan Department of Civil and Environment Engineering Kanazawa Institute of Technology Yatsukaho Hakusan924-0838 Japan

development of admixtures with wet curing effects has desired from the improvement of productivity and the labor saving of construction perspective. This study focused on latex used for the polymer cement concrete, and evaluated the influence of the amount of latex on the initial wet curing effect, the durability and the steel bar corrosion when using a small amount of latex. The main findings are: The concrete with latex whose an initial wet curing period was 3 days improved the surface unti-permeability and the mass transfer resistance, and was equal to or better than that of the normal concrete with the initial wet curing period of 7 days. Also the concrete with latex has preventing the macrocell corrosion of the steel bars. © 2021 The Society of Materials Science, Japan

关键词： durability

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Overcoming solar-blind limitations: 3dEG-induced Fermi-level control in AlGaN phototransistors enables 107 out-of-band rejection and 650-photons/s detection

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Optics Express 2025年第12期33卷 24937-24948页

作者： Zhuoya Peng Jiabing Lu Zesheng Lv Hao Jiang School of Electronics and Information Technology Sun Yat-sen University Guangzhou 510006 China State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University Guangzhou 510006 China Guangdong Engineering Technology R&D Center of Compound Semiconductors and Devices Sun Yat-sen University Guangzhou 510006 China

Solar-blind ultraviolet (SBUV) photodetectors are critical for applications requiring immunity to solar background noise, such as flame sensing and corona discharge detection. Among these, AlGaN-based heterojunction field-effect phototransistors (HFEPTs) stand out for their high sensitivity enabled by high-conductivity two-dimensional electron gas (2dEG) channels. However, conventional HFEPTs suffer from severe out-of-band photoresponse and persistent photoconductivity (PPC) decay due to deep-level heterojunction defects, limiting their practical utility in sunlight-rich environments. To address this, we propose a 3dEG-engineered AlGaN phototransistor that leverages a composition-graded channel to modulate the Fermi level. This design achieves an unprecedented spectral rejection ratio of 10 7 (260/400 nm)—surpassing 2dEG-based devices by five orders of magnitude—while maintaining sub-fW sensitivity (0.6 fW/cm 2 , equivalent to 650 photons/s). Band structure analysis reveals that the Fermi-level pinning mechanism prevents deep-acceptor-level transitions under both dark and illuminated conditions, effectively suppressing the parasitic out-of-band response and accelerating PPC decay by six orders of magnitude within 10 s. With a specific detectivity ( d *) of 5.1×10 17 Jones, the 3dEG-PT advances accurate solar-blind operation by detecting weak UV signals under solar irradiation. Our Fermi-level engineering strategy mitigates deep-level impacts, offering a scalable approach for UV photodetectors requiring high background rejection.

关键词： Aluminum gallium nitride Chemical vapor deposition Photoconductivity Photodetectors Spectral discrimination Ultraviolet light emitting diodes

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Proposed Integrated Control Mechanisms Between Computing and Network resources by Online Monitoring

Proposed Integrated Control Mechanisms Between Computing and...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Yuuki Hatanaka Tetsuya Yokotani Takeshi Suehiro Kenichi Nakura Shigenori Tani Seiji Kozaki Atsuko Yokotani Hiroshi Mineno Graduate School of Engineering Kanazawa Institute of Technology Nonoichi Ishikawa Japan Information Technology R&D Center Mitsubishi Electric Corporation Kamakura Kanagawa Japan Communication System Enginnering Center Mitsubishi Electric Corporation Tokyo Japan Graduate School of Science and Technology Shizuoka University Hamamatsu Shizuoka Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

In the IoT mature stage, a huge number of devices are deployed in various fields. Particularly, in consumer electronics fields, various purpose devices are deployed, e.g., for energy management, crime prevention, monitoring home electric appliances, etc. In this situation, these devices are associated with servers through heterogenous networks. Conventionally, the architectures for distribution processing have been discussed actively. e.g., Common Object request Broker Architecture (COrBA). However, these architectures did not consider transfer network types and their resources. This paper proposes the architecture of resource management, considering networking and computing resources to connect massive number of devices and servers. It proposes a framework of the architecture and mechanisms for enabling architecture. Then, it describes a use case based on this architecture, and discusses its implementation.

关键词： Wide area networks Computer architecture Traffic control resource management Servers Internet of Things Monitoring Consumer electronics Thermal stability Centralized control

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Fuzzy Based Noise removal, Age Group and Gender Prediction with CNN

Fuzzy Based Noise Removal, Age Group and Gender Prediction w...

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International Conference on Intelligent and Fuzzy Systems, INFUS 2020

作者： Tunç, Ali Taşdemir, Sakir Köklü, Murat Kuveyt Türk Participation Bank Konya R&D Center Konya Turkey Computer Engineering of Technology Faculty Selcuk University Konya Turkey

ISBN: (纸本)9783030511555

Facial recognition systems, which are a type of biometric systems, use the person’s facial features to identify people, and determine the information in the position between the eyes, nose, cheekbones, jawline, chin and the like and reveal a personal numerical model. The main purpose of this study is to determine the gender and age group of a selected image. By making necessary studies on the image, it is aimed to separate the gender of the person and to extract child or adult information. This study is proposed as research that performs noise reduction using the fuzzy logic fire filter algorithm and classifies the result by gender using a convolutional neural network (CNN), matrix completion and deep learning techniques. CNN algorithm, which is one of the deep facial recognition algorithms that can be used in the recognition of facial images, is the algorithm used in the study. In this study, the data obtained after the cleaning of the noises in the photographs were classified. The fuzzy logic fire filter algorithm is used to remove the noise in the image, and the image is classified according to gender and age range with the help of CNN and TensorFlow algorithms. The system has been trained using certain learning and test data sets and these algorithms. The image entered into the system is converted into a matrix expression and compared with the matrix expressions on the trained system. According to the comparison result, the image is classified as male, female, boy or girl, which matrix is closer to the value group. The data we obtained as a result of our work and the success rates show the applicability of the study. The main purpose of the study is to make gender and age group estimations according to the image with CNN classifications. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fuzzy logic

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HAZ Characterization and Mechanical Properties of QP980-dP980 Laser Welded Joints

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Chinese Journal of Mechanical engineering 2021年第4期34卷 262-275页

作者： Junliang Xue Peng Peng Wei Guo Mingsheng Xia Caiwang Tan Zhandong Wan Hongqiang Zhang Yongqiang Li School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China R&D Center TANGSTEEL CompanyHBIS GroupTangshan 063016China Shandong Provincial Key Laboratory of Special Welding Technology Harbin Institute of Technology at WeihaiWeihai 264209China Department of Mechanical Engineering Tsinghua UniversityBeijing 100084China Electrical Engineering Department Changchun Automobile Industry InstituteChangchun 130013China

The QP980-dP980 dissimilar steel joints were fabricated by fiber laser *** weld zone(WZ)was fully martensitic structure,and heat-affected zone(HAZ)contained newly-formed martensite and partially tempered martensite(TM)in both *** supercritical HAZ of the QP980 side had higher microhardness(~549.5 Hv)than that of the WZ due to the finer martensite.A softened zone was present in HAZ of QP980 and dP980,the dropped microhardness of softened zone of the QP980 and dP980 wasΔ21.8 Hv andΔ40.9 Hv,*** walls and slip bands were likely formed at the grain boundaries with the increase of strain,leading to the formation of low angle grain boundaries(LAGBs).dislocation accumulation more easily occurred in the LAGBs than that of the HAGBs,which led to significant dislocation interaction and formation of *** electron back-scattered diffraction(EBSd)results showed the fraction of LAGBs in sub-critical HAZ of dP980 side was the highest under different deformation conditions during tensile testing,resulting in the failure of joints located at the sub-critical HAZ of dP980 *** QP980-dP980 dissimilar steel joints presented higher elongation(~11.21%)and ultimate tensile strength(~1011.53 MPa)than that of dP980-dP980 similar steel joints,because during the tensile process of the QP980-dP980 dissimilar steel joint(~8.2%and 991.38 MPa),the strain concentration firstly occurred on the excellent QP980 ***,Erichsen cupping tests showed that the dissimilar welded joints had the lowest Erichsen value(~5.92 mm)and the peak punch force(~28.4 kN)due to the presence of large amount of brittle martensite in WZ and inhomogeneous deformation.

关键词： QP980 steel dP980 steel Fiber laser welding Microstructure evolution Tensile properties Formability

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