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Abnormal Behavior Detection Using Deep-Learning-Based Video Data Structuring

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Intelligent Automation & Soft Computing 2023年第8期37卷 2371-2386页

作者： Min-Jeong Kim Byeong-Uk Jeon hyun yoo Kyungyong Chung Department of Computer Science Kyonggi UniversitySuwon-si16227Gyeonggi-doKorea Contents Convergence Software Research Institute Kyonggi UniversitySuwon-si16227Gyeonggi-doKorea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon-si16227Gyeonggi-doKorea

With the increasing number of digital devices generating a vast amount of video data,the recognition of abnormal image patterns has become more ***,it is necessary to develop a method that achieves this task using object and behavior information within video *** methods for detecting abnormal behaviors only focus on simple motions,therefore they cannot determine the overall behavior occurring throughout a *** this study,an abnormal behavior detection method that uses deep learning(DL)-based video-data structuring is *** and motions are first extracted from continuous images by combining existing DL-based image analysis *** weight of the continuous data pattern is then analyzed through data structuring to classify the overall *** performance of the proposed method was evaluated using varying parameter settings,such as the size of the action clip and interval between action *** model achieved an accuracy of 0.9817,indicating excellent ***,we conclude that the proposed data structuring method is useful in detecting and classifying abnormal behaviors.

关键词： Deep learning object detection abnormal behavior recognition classification data structuring

Web Tension Regulation of Multispan Roll-to-Roll System using Integrated Active Dancer and Load Cells for Printed Electronics Applications

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Chinese Journal of Mechanical Engineering 2014年第2期27卷 229-239页

作者： ZUBAIR Muhammad PONNIAH Ganeshthangaraj YANG young Jin CHOI Kyung hyun Department of Mechatronics Engineering Jeju National University

The mass production of primed electronics can be achieved by roll-to-roll（R2R） printing system, so highly accurate web tension is required that can minimize the register error and keep the thickness and roughness of printed devices in limits. The web tension of a R2R system is regulated by the use of integrated load cells and active dancer system for printed electronics applications using decentralized multi-input-single-output（MISO） regularized variable learning rate backpropagation artificial neural networks. The active dancer system is used before printing system to reduce disturbances in the web tension of process span. The classical PID control result in tension spikes with the change in roll diameter of winder and unwinder rolls. The presence of dancer in R2R system shows that improved web tension control in printing span and the web tension can be enhanced from 3.75 N to 4.75 N. The overshoot of system is less than ±2.5 N and steady state error is within ± 1 N where load cells have a signal noise of ±0.7 N. The integration of load cells and active dancer with self-adapting neural network control provide a solution to the web tension control of multispan roll-to-roll system.

关键词： roll-to-roll(R2R)system multispan printed electronics active dancer load cell artificial neural networks tension control,multi-input-single-output(MISO )

Standardized ileal digestible lysine requirements based on growth performance and histochemical characteristics of male broilers from 10 to 21 d of age

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Animal Nutrition 2023年第1期12卷 145-150页

作者： Su hyun An Boin Lee young Min Choi Changsu Kong Department of Animal Science and Biotechnology Kyungpook National University37224SangjuRepublic of Korea Department of Animal Science Kyungpook National University37224SangjuRepublic of Korea

The growth performance and histochemical characteristics of breast muscle fibers were used to estimate the standardized ileal digestible(SID)Lys requirements for 10-to 21-d-old male *** hundred and sixty 10-d-old Ross 308 broilers(290±16.6 g)were allocated to 6 diets in a randomized complete block design with 6 replicate cages per treatment and 10 birds per *** 6 experimental diets were formulated to contain equally spaced increasing levels of SID Lys from 0.86%to 1.36%.The data were analyzed using the MIXED procedure of *** Lys requirements were estimated by the NLIN procedure of *** increase in dietary SID Lys from 0.86%to 1.36%resulted in a quadratic increase(P<0.05)in body weight gain(BWG),gain to feed ratio(G:F),breast weight,muscle cross-sectional area(MCSA),and fiber *** SID Lys requirements based on the one-slope broken-line,quadratic line,the first intercept between the plateau of the one-slope broken-line and quadratic-line models and 95%of the upper asymptote of the quadratic-line model were estimated to be 1.01%,1.19%,1.08%,and 1.13%for BWG,1.06%,1.22%,1.11%,and 1.16%for G:F,1.10%,1.29%,1.19%,and 1.22%for breast weight,1.06%,1.22%,1.12%,and 1.16%for MCSA,and 1.14%,1.22%,1.16%,and 1.16%for breast muscle fiber area,*** was concluded that the SID Lys requirements for broilers at the age of 10 to 21 d depended on the response variables used for estimation,and that histochemical characteristics of breast muscle fibers could be good indicators for estimating SID Lys requirements.

关键词： Requirement Lysine Growth performance Muscle fiber characteristics Broiler chicken

Room-temperature synthesis of ZrSnO4 nanoparticles for electron transport layer in efficient planar hetrojunction perovskite solar cells

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Journal of Materials Science & Technology 2020年第7期42卷 38-45页

作者： young Wook Noh In Su Jin Sang hyun Park Jae Woong Jung Department of Advanced Materials Engineering for Information&Electronics Kyung Hee University1732 Deogyeong-daeroGiheung-guYongin-siGyeonggi-do 446-701Republic of Korea

The interface engineering plays a key role in controlled optoelectronic properties of perovskite photovoltaic devices,and thus the electron transport layer(ETL)material with tailored optoelectronic properties remains a challenge for achieving high photovoltaic performance of planar perovskite solar cells(PSCs).Here,the fine and crystalline zirconium stanate(ZrSnO4)nanoparticles(NPs)was synthesized at low temperature,and its optoelectronic properties are systematically *** from the favorable electronic structure of ZrSnO4 NPs for applications in ETL,efficient electron transport and extraction with suppre s sed charge recombination are achieved at the interface of perovskite *** a result,the optimized ZrSnO4 NPs synthesized at room-temperature deliver the optimized power conversion efficiency up to 16.76%with acceptable *** work opens up a new class of ternary metal oxide for the use in ETL of the planar PSCs and should pave the way toward designing new interfacial materials for practical optoelectronic devices.

关键词： ZrSnO4 Electron transport layer Nanoparticles Perovskite solar cells

Effects of Mg Enhancement and Heat Treatment on Microstructures and Tensile Properties of Al2Ca-Added ADC12 Die Casting Alloys

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Journal of Materials Science & Technology 2016年第10期32卷 1043-1048页

作者： Gil-Yong Yeom hyun Kyu Lim Shae K.Kim Soong-Keun hyun young-Ok yoon Korea Institute of Industrial Technology lncheon 406-840 South Korea Department of Materials Science and Engineering Inha University lncheon 402-751 South Korea

The effects of Mg enhancement and heat treatment on the microstructures and tensile properties of Al_2Ca-added ADC12 die casting alloys were investigated. 0.3% and 0.5% Mg in the form of a master alloy including a trace amount of Al_2Ca were added to conventional ADC12（383 and AlSi10Cu2Fe） alloy with an initial Mg-content of 0.3% to increase the Mg content to 0.6% and 0.8%, respectively. To avoid heat treatmentinduced surface blisters, shortened solution treatment for 15 min at 490 ℃ and artificial aging for 6 h at 150 ℃ was undertaken. The results show that a 10% improvement in the shape factor of eutectic Si particles was achieved for Al_2Ca-added ADC12 with 0.8% Mg compared to the conventional ADC12 in the as-aged condition. Al_2Ca-added ADC12 with 0.8% Mg exhibited a yield strength of 289 MPa, a tensile strength of 407 MPa, and an elongation of 4.22%.

关键词： Al2Ca ADC12 alloy Heat treatment Die casting Inclusion

Boosting overall water splitting by incorporating sulfur into NiFe(oxy)hydroxide

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Journal of Energy Chemistry 2022年第1期31卷 364-371,I0010页

作者： Chiho Kim Seong hyun Kim Seunghun Lee Ilyeong Kwon Seong hyun Kim Shinho kim Changgyu Seok yoo Sei Park Yangdo Kim Department of Materials Science and Engineering Pusan National UniversityBusan 46241Republic of Korea BK21 Four Innovative Graduate Education Program for Global High-tech Materials&PartsPusan National UniversityBusan 46241Republic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology(POSTECH).Pohang 37673Republic of Korea

Developing highly active and cost-effective electrocatalysts for enhancing the hydrogen evolution reaction(HER)and oxygen evolution reaction(OER)is a significant challenge for overall water ***-incorporated nickel iron(oxy)hydroxide(S-NiFeOOH)nanosheets were directly grown on commercial nickel foam using a galvanic corrosion method and a hydrothermal *** incorporation of sulfur into NiFeOOH enhanced the catalytic activity for the HER and OER in 1 M KOH *** enhanced catalytic activity is attributed to the change in the local structure and chemical states due to the incorporation of *** performance for overall water splitting was achieved with an alkaline water *** was realized by employing S-NiFeOOH as a bifunctional electrocatalyst,thereby outperforming a water electrolyzer that requires the usage of precious metal electrocatalysts(i.e.,Pt/C as the HER electrocatalyst and IrO_(2) as the OER electrocatalyst).Moreover,when driven by a commercial silicon solar cell,an alkaline water electrolyzer that uses S-NiFeOOH as a bifunctional electrocatalyst generated hydrogen under natural *** study shows that S-NiFeOOH is a promising candidate for a large-scale industrial implementation of hydrogen production for overall water splitting because of its low cost,high activity,and *** addition,the solar-driven water electrolyzer using S-NiFeOOH as a bifunctional electrocatalyst affords the opportunity for developing effective and feasible solar power systems in the future.

关键词： Overall water splitting Hydrogen production Sulfur incorporated NiFe(oxy)hydroxide Electrocatalysts Solar-driven water splitting

Convolutional Neural Network-Based Regression for Predicting the Chloride Ion Diffusion Coefficient of Concrete

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Computers, Materials & Continua 2022年第3期70卷 5059-5071页

作者： hyun Kyu Shin Ha young Kim Sang Hyo Lee Architectural Engineering Hanyang University ERICAAnsan15588Korea Graduate School of Information Yonsei UniversitySeoul03722Korea Division of Smart Convergence Engineering Hanyang University ERICAAnsan15588Korea

The durability performance of reinforced concrete(RC)building structures is significantly affected by the corrosion of the steel reinforcement due to chloride penetration,thus,the chloride ion diffusion coefficient should be investigated through experiments or theoretical equations to assess the durability of an RC *** study aims to predict the chloride ion diffusion coefficient of concrete,a heterogeneous material.A convolutional neural network(CNN)-based regression model that learns the condition of the concrete surface through deep learning,is developed to efficiently obtain the chloride ion diffusion *** the model implementation to determine the chloride ion diffusion coefficient,concrete mixes with w/c ratios of 0.33,0.40,0.46,0.50,0.62,and 0.68,are cured for 28 days;subsequently,the surface image data of the specimens are ***,the proposed model predicts the chloride ion diffusion coefficient using the concrete surface image data and exhibits an error of approximately 1.5E−12 m^(2)/*** results suggest the applicability of proposed model to the field of facility maintenance for estimating the chloride ion diffusion coefficient of concrete using images.

关键词： Chloride ion diffusion coefficient convolutional neural network deep learning

Electrical characteristics and detailed interfacial structures of Ag/Ni metallization on polycrystalline thermoelectric SnSe

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Journal of Materials Science & Technology 2019年第5期35卷 711-718页

作者： Yeongseon Kim younghwan Jin Giwan yoon In Chung Hana yoon Chung-Yul yoo Sang hyun Park Separation and Conversion Materials Laboratory Korea Institute of Energy Research 152 Gajeong-ro Yuseong-gu Daejeon 34129 Republic of Korea School of Electrical Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon 34142 Republic of Korea Department of Physics Chungnam National University 99 Daehak-ro Yuseong-gu Daejeon 34134 Republic of Korea School of Chemical and Biological Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 Republic of Korea

SnSe is a promising thermoelectric material with a high figure of merit in single crystal form, which has stimulated continuous research on polycrystalline SnSe. In this study, we investigated a metallization techniques for polycrystalline SnSe to achieve highly efficient and practical SnSe thermoelectric modules. The Ag/Ni metallization layers were formed on pristine polycrystalline SnSe using various deposition technique: sputter coating Ni, powder Niand foil Ni by spark plasma sintering. Structural analysis demonstrated that the microstructure and con tact resistance could be different according to the metallization process, despite using the same metals. The Ag/Ni metallization layer using foil Ni acted as an effective diffusion barrier and minimized electrical contact resistance (2.3×10^-4Ωcm^2). A power loss in the thermoelectric module of only 5% was demonstrated using finite element simulation.

关键词： Thermoelectric Metallization Electric contact material Interface microstructure SnSe

Practical Privacy-Preserving ROI Encryption System for Surveillance Videos Supporting Selective Decryption

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Computer Modeling in Engineering & Sciences 2024年第12期141卷 1911-1931页

作者： Chan Hyeong Cho hyun Min Song Taek-young Youn Department of Cyber Security Dankook UniversityYonginGyeonggi-Do16890Republic of Korea

With the advancement of video recording devices and network infrastructure,we use surveillance cameras to protect our valuable *** paper proposes a novel system for encrypting personal information within recorded surveillance videos to enhance efficiency and *** proposed method leverages Dlib’s CNN-based facial recognition technology to identify Regions of Interest(ROIs)within the video,linking these ROIs to generate unique *** IDs are then combined with a master key to create entity-specific keys,which are used to encrypt the ROIs within the *** system supports selective decryption,effectively protecting personal information using surveillance ***,the system overcomes the limitations of existing ROI recognition technologies by predicting unrecognized frames through *** research validates the proposed technology through experimental evaluations of execution time and post-processing techniques,ensuring comprehensive personal information *** for setting the thresholds used in this process are also *** the proposed method could serve as an effective solution to security vulnerabilities that traditional approaches fail to address.

关键词： Privacy de-identification selective decryption surveillance video