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27th International Conference on Knowledge Based and Intelligent Information and engineering Sytems, KES 2023

作者： Kakizaki, Toma Oeda, Shinichi Advanced Course of Control and Information Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Chiba Kisarazu City Japan Department of Information and Computer Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Chiba Kisarazu City Japan

To use an intelligent tutoring system (ITS) in an educational setting effectively, it is necessary to understand the skill status of students and recommend appropriate questions. Existing studies focused on improving the performance of ITS using student modeling to estimate the skill status of students. Knowledge tracing (KT) is the mainstream student modeling method, and deep learning approaches such as deep knowledge tracing and self-attentive knowledge tracing have been studied extensively in recent years. These models take only the questions solved by the student and the correct or incorrect answers to those questions as input;they do not assume the use of other features. In this study, we perform student modeling using DeepFM and FiBiNET that combines factorization machines and deep learning. Our results indicate that these models are more accurate than KT because of their ability to cope with sparse data and consider pairwise feature interactions, and more suited for real-world applications than KT. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： DeepLearning Educational data mining Factorization machines Intelligent tutoring system Knowledge tracing Student modeling

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Data hiding method for AMBTC compressed images

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Journal of Ambient Intelligence and Humanized Computing 2023年第11期14卷 14785-14793页

作者： Chen, Yung-Yao Hsia, Chih-Hsien Jhong, Sin-Ye Lin, Hsin-Ju Graduate Institute of Automation Technology National Taipei University of Technology No. 1 Sec. 3 Zhongxiao E. Rd. Daan Dist. Taipei106 Taiwan Department of Computer Science and Information Engineering National Ilan University No. 1 Sec. 1 Shennong Rd. Yilan County Yilan City260 Taiwan

With the current growth of multimedia applications, a substantial amount of visual data, including images and videos, is transmitted daily, making information forensics and security essential. Thus, protecting secret data from attackers is critical. In this work, we propose a AMBTC-based data-hiding method, in which secret data are concealed in individual image blocks that are compressed using absolute moment block truncation coding technique. By placing high or low mean values at the corner of each block, the secret data are then extracted reversibly and the original host image can be recovered at the decoding end. In addition, the quality of stego images is maintained, which protects the embedded visual data from the suspicion of attackers. From the experimental results, we show that the proposed method outperforms other state-of-the-art methods. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Steganography

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A new electric field mill array with each of the mill’s rotor controlled precisely by a GPS module:Equipment and initial results

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Earth and Planetary Physics 2024年第2期8卷 423-435页

作者： Kozo Yamashita Hironobu Fujisaka DaoHong Wang Hiroyuki Iwasaki Kazuo Yamamoto Koichiro Michimoto Masashi Hayakawa Department of Production Systems Engineering and Sciences Komatsu UniversityNu 1-3 Shicho-machiKomatsuIshikawa 923-8511Japan Fujisaka Technology Office 1058-5 Yoshizawa-choOhta-shiGunma 373-0019Japan Department of Electrical Electronic and Computer EngineeringGifu University1-1 YanagidoGifu CityGifu 501-1193Japan Cooperative Faculty of Education Gunma University4-2-Aramaki-machiMaebashiGunma 371-8510Japan Department of Electrical and Electronic Engineering Chubu University1200 Matsumoto-choKasugaiAichi 487-8501Japan Independent Researcher Kosenba Town 2-44-11-406Kawagoe CitySaitama350-0036Japan Advanced Wireless&Communications Research Center The University of Electro-Communications1-5-1 ChofugaokaChofuTokyo 182-8585Japan

We have newly designed an electrostatic sensor,called an electric field mill(EFM),to simplify the estimation of the charge position and charge amount transferred by lightning *** is necessary for this remote estimation of the transferred charge to measure electric field changes caused by charge loss at the time of a lightning strike at multiple *** multiple-station measurement of electric field changes,not only speed but also phase for exposure and shielding of the sensing plates inside each EFM of the array should be synchronized to maintain the sensitivities of the deployed ***,there is no such EFM with specified speed and phase control performance of the rotary ***,we developed a new EFM in which the rotary mechanism was controlled consistently to within 3%error by a GPS *** EFMs had been distributed in the Hokuriku area of Japan during the winter season of 2022-2023 for a test *** we describe the design and a simple calibration method for our new EFM *** analysis method based on the assumption of a simple monopole charge structure is also *** validation,locations of assumed point charges were compared with three-dimensional lightning mapping data estimated by radio observations in the MF-HF *** results indicated the validity to estimate transferred charge amounts and positions of winter cloud-to-ground lightning discharges with our new EFM array.

关键词： lightning electrostatic field electric field mill electric field change

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A student modeling method combining Deep Learning and forgetting models with Knowledge Tracing 27

A student modeling method combining Deep Learning and forget...

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27th International Conference on Knowledge Based and Intelligent Information and engineering Sytems, KES 2023

作者： Oeda, Shinichi Hasegawa, Shunichi Department of Information and Computer Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Chiba Kisarazu City Japan Advanced Course of Control and Information Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Chiba Kisarazu City Japan

Educational Data Mining (EDM) aims to enhance education by analyzing learners' skills and question difficulty levels using machine learning methods. Knowledge Tracing (KT), a subfield of EDM, utilizes Hidden Markov Models to estimate learners' abilities and predict their performance on unseen questions. While deep learning methods, such as bi-directional RNNs, have improved KT's accuracy, they may lack interpretability from an educational psychology perspective. Item Response Theory (IRT), widely used in educational statistics, offers greater explanatory potential. This study proposes a model that integrates the concept of forgetting into IRT for improved accuracy and explainability in Knowledge Tracing using bi-directional RNNs. The forgetting concept is based on Ebbinghaus' forgetting curve theory. Three experiments were conducted using synthetic data to compare a model from a previous study, a model based on the proposed method, and a model that combines the previous study's model with IRT but excludes the forgetting concept. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Deep Learning Educational Data Mining Intelligent Tutoring System Item Response Theory Knowledge Tracing Student Modeling

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MBPD: A Robust Algorithm for Polar-Domain Channel Estimation in Near-Field Wideband XL-MIMO Systems

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IEEE Internet of Things Journal 2024年第12期12卷 18461-18470页

作者： Wang, Han Guo, Peiqing Li, Xingwang Wen, Fangqing Wang, Xianpeng Nallanathan, Arumugam Yichun University College of Physical Science and Engineering Yichun336000 China Nanjing University of Posts and Telecommunications School of Computer Science Nanjing210023 China Henan Polytechnic University School of Physical and Electronic Information Engieering Jiaozuo454000 China China Three Gorges University College of Computer and Information Technology Yichang443002 China Hainan University School of Information and Communication Engineering Haikou570228 China Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of

In the evolving landscape of wireless communications, extremely large-scale multiple-input multiple-output (XL-MIMO) systems offer promising enhancements in capacity and spectral efficiency, particularly in near-field scenarios. This paper investigates polar-domain channel estimation methods for near-field wideband XL-MIMO systems, proposing a novel approach based on the bilinear pattern detection (BPD) method. We introduce the multi-candidate BPD (MBPD) algorithm, which improves detection accuracy by incorporating adaptive weight matrix adjustments and evaluating multiple candidate modes per iteration. Comprehensive simulations validate the superiority of MBPD over traditional BPD in terms of estimation accuracy and robustness. Furthermore, a detailed complexity analysis demonstrates the computational feasibility of the proposed algorithm. The MBPD algorithm greatly improves polar-domain channel estimation, facilitating more efficient implementations of near-field wideband XL-MIMO systems. © 2024 IEEE.

关键词： Channel estimation

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Turning to Information Theory to Bring in-Memory Computing into Practice

IEEE BITS the Information Theory Magazine

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IEEE BITS the Information Theory Magazine 2023年第3期3卷 64-77页

作者： Dupraz, Elsa Leduc-Primeau, Francois Cai, Kui Dolecek, Lara Lab-STICC UMR CNRS IMT Atlantique Brest29238 France Polytechnique Montreal Department of Electrical Engineering MontrealQCH3T 1J4 Canada Singapore University of Technology and Design Science Mathematics and Technology Cluster Singapore487372 Singapore UCLA Department of Electrical and Computer Engineering Los AngelesCA90095 United States

This article explores the emerging field of in-memory computing, which has the potential to significantly improve energy efficiency in many signal processing and machine learning applications. In-memory computing systems are impacted by various sources of noise and perturbations that can affect their computation accuracy. Therefore, this article aims to identify the key challenges to be addressed from an information-theoretic point of view in this area. It first identifies relevant computation structures and noise models from the literature of hardware implementation, and then reviews existing works in information theory and error-correction for in-memory computing. Finally, it identifies key open avenues for establishing information-theoretic foundations of in-memory computing systems, and for providing insightful design rules leading to highly energy-efficient computing systems. © 2021 IEEE.

关键词： Error correction

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Structural RC computer aided intelligent analysis and computational performance via experimental investigations

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Structural engineering and Mechanics 2024年第3期90卷 253-261页

作者： Huang, Y.C. Lulios, TuMuli Chang, Chu-Ho Noor, M. Nasir Shao, Jen-Chung Chiu, Chien-Liang Lee, Tsair-Fwu Wang, Renata Information Technology Faculty Duy Tân University 254 Nguyen Van Linh Danang Viet Nam Princess Margaret Hospital Funafuti Island Private Mail Bag Tuvalu College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan College of Maritime National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Medical Physics and Informatics Laboratory of Electronics Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Information and Research Center of China 1/9 Road: 2 Block: D Section: 15 Dhaka1216 Bangladesh

This research explores a new finite element model for the free vibration analysis of bi-directional functionally graded (BDFG) beams. The model is based on an efficient higher-order shear deformation beam theory that incorporates a trigonometric warping function for both transverse shear deformation and stress to guarantee traction-free boundary conditions without the necessity of shear correction factors. The proposed two-node beam element has three degrees of freedom per node, and the inter-element continuity is retained using both C1 and C0 continuities for kinematics variables. In addition, the mechanical properties of the (BDFG) beam vary gradually and smoothly in both the in-plane and out-of-plane beam’s directions according to an exponential power-law distribution. The highly elevated performance of the developed model is shown by comparing it to conceptual frameworks and solution procedures. Detailed numerical investigations are also conducted to examine the impact of boundary conditions, the bi-directional gradient indices, and the slenderness ratio on the free vibration response of BDFG beams. The suggested finite element beam model is an excellent potential tool for the design and the mechanical behavior estimation of BDFG structures. © 2024 Techno-Press, Ltd.

关键词： Boundary conditions

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Review of on-board conductive charger topologies for electric transportation

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International Journal of Power Electronics 2023年第4期17卷 406-442页

作者： Vijaya Anand, N. Jaya Sai Praneeth, A.V. Yalla, Naveen Sood, Vijay K. Department of EEE P.V.P. Siddhartha Institute of Technology Kanuru Vijayawada520007 India Advance Engineering Group Borg Warner Technical Center Bascharage Luxembourg Varanasi221005 India Department of Electrical Computer and Software Engineering Faculty of Engineering and Applied Science Ontario Tech University 2000 Simcoe Street North OshawaONL1H 7K4 Canada

This paper presents an overview of on-board conductive charger topologies for electric vehicles (EVs). Battery packs in electric and plug-in hybrid electric vehicles (EVs/PHEVs) need frequent energy refills to fulfil their duty cycles and overcome the range anxiety of vehicle owners. Due to the limited availability of fast charging infrastructures, all automotive manufacturers prefer an on-board battery charger in their vehicles. However, there are power level limitations for these chargers because of the weight, space and cost constraints. On-board charging systems can be either conductive or inductive. This paper reviews the topologies that are involved in conductive charging only. Globally, all automotive companies provide levels 1 and 2 for residential charging of vehicles. Single- and two-stage power converter topologies are summarised with their limitations. Furthermore, the current trends in the DC-DC converters for the two-stage conversion battery charger topologies are also outlined. This paper provides an overview of various topologies and configurations involved in EV charging with their limitations. © 2023 Inderscience Enterprises Ltd.

关键词： Topology

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Partial Discharge Measurement with Gap Time Analysis to Determine Severity of Defect in Rotating Machines 10

Partial Discharge Measurement with Gap Time Analysis to Dete...

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10th International Conference on Condition Monitoring and Diagnosis, CMD 2024

作者： Panmala, Nattapon Suwanasri, Thanapong Fuangpian, Phanupong Suwanasri, Cattareeya King Mongkut's University of Technology North Bangkok Faculty of Technical Education Department of Teacher Training in Electrical Engineering 1518 Pracharat 1 Rd. Bangsue Bangkok Thailand The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut's University of Technology North Bangkok 1518 Pracharat 1 Rd. Bangsue Bangkok Thailand Directing Manager Bluetech Unique Engineering Co. Ltd. Mueang Nonthaburi District Nonthaburi Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering 1518 Pracharat 1 Rd. Bangkok Thailand

ISBN: (纸本)9788986510225

This paper presents a severity analysis of partial discharge (PD) in rotating machine. The severity analysis technique, based on PD phenomena, amplitude, repetition rate, and gap time distance, was applied to three generators and two motors to investigate the insulation condition. Different PD phenomena represent different severities in the degradation process. PD amplitude and trending illustrate problem development over time, requiring the interpretation of multiple values. The repetition rate can identify problem severity according to the PD occurrence rate compared to one cycle of an AC waveform. Gap time distance is time space distance in millisecond between two PD groups, one as positive polarity and another as negative polarity in phase-resolved partial discharge (PRPD) pattern of the same phase. The case studies of five rotating machines were performed by arranging the outage plans for major overhauls to inspect internal defects. Then PD measurements have been performed to compare the problem's severity, and severity analysis using the proposed method has been subsequently conducted. To validate the results, the obtained PD results with the proposed severity analysis were compared with the visual inspection during major overhauls, showing satisfactory agreement. © 2024 The Korean Institute of Electrical Engineers (KIEE).

关键词： Rotating machinery

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Classification of wild mushrooms based on improved ShuffleNetV2

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International Journal of Agricultural and Biological engineering 2025年第1期18卷 208-218页

作者： Xingmei Xu Dawei Yang Qiqi Wei Jinying Li Jian Zhang College of Information Technology Jilin Agricultural UniversityChangchun 130118China College of Computer Engineering Qingdao City UniversityQingdao 266106China College of horticulture Jilin Agricultural UniversityChangchun 130118China Faculty of Agronomy Jilin Agricultural UniversityChangchun 130118China Department of Biology University of British ColumbiaOkanaganKelownaBC V1V 1V7Canada

This study introduced an improved CHE_ShuffleNetV2 model based on ShuffleNetV2 to address the classification challenge of wild mushrooms in a complex *** model incorporated a Cross Stage Partial(CSP)structure to simplify its ***,it adopted Hybrid Dilated Convolution(HDC)to replace conventional convolution,enhancing the model’s recognition accuracy by expanding its receptive *** addition,the ECA module was integrated to enhance the focus of the model on crucial feature *** Hardswish activation function was employed instead of the ReLU activation function to reduce the number of *** experimental results demonstrated that the enhanced model achieved improved accuracy,precision,recall,and F1-Score of 95.02%,95.19%,94.56%,and 94.00%,respectively,representing improvements of 2.81%,3.82%,3.08%,and 3.65%,correspondingly,over the original *** enhanced model also reduced the parameters and FLOPs to 0.933 M and 104.08 M,respectively,representing reductions of 26.13%and 30.42%over the original *** with commonly used lightweight models such as EfficientNet,DenseNet,and MobileNetV2,the CHE_ShuffleNetV2 model showed superior performance in solving the wild mushroom classification problem in complex environments,exhibiting its suitability for deployment on resource-constrained devices including mobile terminals.

关键词： classification of wild mushrooms ShuffleNetV2 deep learning lightweight

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