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An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities

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Frontiers of Computer Science 2023年第4期17卷 83-96页

作者： Muazzam MAQsooD Sadaf YASMIN Saira GILLANI Maryam BUKHARI Seungmin RHO sang-soo yeo Department of Computer Science COMSATS University IslamabadAttock CampusAttock 43600Pakistan Department of Computer Science Bahria UniversityLahore 54600Pakistan Department of Industrial Security Chung-Ang UniversitySeoul 06974Republic of Korea Department of Computer Engineering Mokwon UniversityDaejeon 35349Republic of Korea

Innovations on the Internet of Everything(IoE)enabled systems are driving a change in the settings where we interact in smart units,recognized globally as smart city ***,intelligent video-surveillance systems are critical to increasing the security of these smart *** precisely,in today’s world of smart video surveillance,person re-identification(Re-ID)has gained increased consideration by *** researchers have designed deep learningbased algorithms for person Re-ID because they have achieved substantial breakthroughs in computer vision *** this line of research,we designed an adaptive feature refinementbased deep learning architecture to conduct person *** the proposed architecture,the inter-channel and inter-spatial relationship of features between the images of the same individual taken from nonidentical camera viewpoints are focused on learning spatial and channel *** addition,the spatial pyramid pooling layer is inserted to extract the multiscale and fixed-dimension feature vectors irrespective of the size of the feature ***,the model’s effectiveness is validated on the CUHK01 and CUHK02 *** compared with existing approaches,the approach presented in this paper achieves encouraging Rank 1 and 5 scores of 24.6% and 54.8%,respectively.

关键词： Internet of Everything(IoE) visual surveillance systems big data security systems person re-identification(Re-ID) deep learning

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Wind Driven Optimization-Based Medical Image Encryption for Blockchain-Enabled Internet of Things Environment

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Computers, Materials & Continua 2022年第11期73卷 3219-3233页

作者： C.S.S.Anupama Raed Alsini N.Supriya E.Laxmi Lydia Seifedine Kadry sang-soo yeo Yongsung Kim Department of Electronics&Instrumentation Engineering V.R.Siddhartha Engineering CollegeVijayawada520007India Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science and Engineering Malla Reddy Engineering College(A)Hyderabad500100India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Applied Data Science Noroff University College4612KristiansandNorway Department of Computer Engineering Mokwon UniversityDaejeon35349Korea Department of Technology Education Chungnam National University 99Daehak-roYuseong-guDaejeon34134Korea

Internet of Things(IoT)and blockchain receive significant interest owing to their applicability in different application areas such as healthcare,finance,transportation,*** image security and privacy become a critical part of the healthcare sector where digital images and related patient details are communicated over the public *** paper presents a new wind driven optimization algorithm based medical image encryption(WDOA-MIE)technique for blockchain enabled IoT *** WDOA-MIE model involves three major processes namely data collection,image encryption,optimal key generation,and data ***,the medical images were captured from the patient using IoT ***,the captured images are encrypted using signcryption *** addition,for improving the performance of the signcryption technique,the optimal key generation procedure was applied by WDOA *** goal of the WDOA-MIE algorithm is to derive a fitness function dependent upon peak signal to noise ratio(PSNR).Upon successful encryption of images,the IoT devices transmit to the closest server for storing it in the blockchain *** performance of the presented method was analyzed utilizing the benchmark medical image *** security and the performance analysis determine that the presented technique offers better security with maximum PSNR of 60.7036 dB.

关键词： Internet of things image security medical images encryption optimal key generation blockchain

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A Triplet-Branch Convolutional Neural Network for Part-Based Gait Recognition

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Computer Systems Science & Engineering 2023年第11期47卷 2027-2047页

作者： sang-soo yeo Seungmin Rho Hyungjoon Kim Jibran Safdar Umar Zia Mehr Yahya Durrani Department of Computer Engineering Mokwon UniversityDaejeonKorea Department of Industrial Security Chung-Ang UniversitySeoul06974Korea Department of Computer Engineering Semyung UniversityJechun-siKorea Department of Computer Science UET TaxilaTaxilaPakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan

Intelligent vision-based surveillance systems are designed to deal with the gigantic volume of videos captured in a particular environment to perform the interpretation of scenes in form of detection,tracking,monitoring,behavioral analysis,and *** addition to that,another evolving way of surveillance systems in a particular environment is human gait-based *** the existing research,several methodological frameworks are designed to use deep learning and traditional methods,nevertheless,the accuracies of these methods drop substantially when they are subjected to covariate *** covariate variables disrupt the gait features and hence the recognition of subjects becomes *** handle these issues,a region-based triplet-branch Convolutional Neural Network(CNN)is proposed in this research that is focused on different parts of the human Gait Energy Image(GEI)including the head,legs,and body separately to classify the subjects,and later on,the final identification of subjects is decided by probability-based majority voting ***,to enhance the feature extraction and draw the discriminative features,we have added soft attention layers on each branch to generate the soft attention *** proposed model is validated on the CASIA-B database and findings indicate that part-based learning through triplet-branch CNN shows good performance of 72.98%under covariate conditions as well as also outperforms single-branch CNN models.

关键词： Vision-based surveillance systems deep learning triplet-branch CNN gait recognition covariate conditions

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High-throughput computational-experimental screening protocol for the discovery of bimetallic catalysts

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npj Computational Materials 2021年第1期7卷 1232-1241页

作者： Byung Chul yeo Hyunji Nam Hyobin Nam Min-Cheol Kim Hong Woo Lee Sung-Chul Kim Sung Ok Won Donghun Kim Kwan-Young Lee Seung Yong Lee sang soo Han Computational Science Research Center Korea Institute of Science and TechnologySeoulRepublic of Korea Department of Energy Resources Engineering Pukyong National UniversityBusanRepublic of Korea Materials Architecturing Research Center Korea Institute of Science and TechnologySeoulRepublic of Korea Department of Chemical and Biological Engineering Korea UniversitySeoulRepublic of Korea Department of Nanomaterials Science and Engineering Korea University of Science and TechnologyDaejeonRepublic of Korea Advanced Analysis Center Korea Institute of Science and TechnologySeoulRepublic of Korea

To accelerate the discovery of materials through computations and experiments,a well-established protocol closely bridging these methods is *** introduce a high-throughput screening protocol for the discovery of bimetallic catalysts that replace palladium(Pd),where the similarities in the electronic density of states patterns were employed as a screening *** first-principles calculations,we screened 4350 bimetallic alloy structures and proposed eight candidates expected to have catalytic performance comparable to that of *** experiments demonstrate that four bimetallic catalysts indeed exhibit catalytic properties comparable to those of ***,we discover a bimetallic(Ni-Pt)catalyst that has not yet been reported for H_(2)O_(2) direct *** particular,Ni_(61)Pt_(39) outperforms the prototypical Pd catalyst for the chemical reaction and exhibits a 9.5-fold enhancement in cost-normalized *** protocol provides an opportunity for the catalyst discovery for the replacement or reduction in the use of the platinum-group metals.

关键词： synthesis catalyst bimetallic

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3D Face Reconstruction from a Single Image Using a Combined PCA-LPP Method

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Computers, Materials & Continua 2023年第3期74卷 6213-6227页

作者： Jee-Sic Hur Hyeong-Geun Lee Shinjin Kang yeo Chan Yoon soo Kyun Kim Department of Computer Engineering Jeju National UniversityJeju63243Korea School of Games Hongik UniversitySejong30016Korea Department of Artificial Intelligence Jeju National UniversityJeju63243Korea

In this paper, we proposed a combined PCA-LPP algorithm toimprove 3D face reconstruction performance. Principal component analysis(PCA) is commonly used to compress images and extract features. Onedisadvantage of PCA is local feature loss. To address this, various studies haveproposed combining a PCA-LPP-based algorithm with a locality preservingprojection (LPP). However, the existing PCA-LPP method is unsuitable for3D face reconstruction because it focuses on data classification and *** the existing PCA-LPP, the adjacency graph, which primarily shows the connectionrelationships between data, is composed of the e-or k-nearest neighbortechniques. By contrast, in this study, complex and detailed parts, such aswrinkles around the eyes and mouth, can be reconstructed by composing thetopology of the 3D face model as an adjacency graph and extracting localfeatures from the connection relationship between the 3D model *** verified the effectiveness of the proposed method. When theproposed method was applied to the 3D face reconstruction evaluation set,a performance improvement of 10% to 20% was observed compared with theexisting PCA-based method.

关键词： Principal component analysis locality preserving project 3DMM face reconstruction face modeling

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Mapping the Dementia Research Area at the Micro-Level Using Co-terms Analysis and Positioning for Traditional Herbal Medicine

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Chinese Journal of Integrative Medicine 2014年第9期20卷 706-711页

作者： Bu-yeo Kim Jong Seok Kang ung-soo Han Won Kyung Jeon Herbal Medicine Research Division Korea Institute of Oriental MedicineDaejeon 305-811Republic of Korea Information Analysis Center Korea Institute of S&T InformationSeoul 130-741Republic of Korea Department of Biological Science Konkuk UniversitySeoul 143-701Republic of Korea

Objective： To identify the position of traditional herbal medicine in dementia research field using mapping technology. Methods： Keywords for dementia and traditional herbal medicine for treating dementia were used to extract scientific articles from the Web of Science database from January 2000 to July 2010. A co- occurrence matrix was created based on the concurrent set of author＇s keywords occurring in each scientific article, and technology network maps were created from similarity index matrices. Results： Twenty specialized research areas were identified in the dementia field, and the relationship strength was 0.2-0.6. Many research fields were associated with diagnosis and risk factors for dementia. Additionally, the mechanism or cause of dementia is an actively studied field. Traditional herbal medicine for treating dementia was located on a map near the cortical dementia diagnosis and therapy, and frontotemporal dementia research field with a relationship strength of 0.53 and 0.31-0.33 respectively, which demonstrates that traditional herbal medicine for dementia occupies an independent research area with a relationship to existing scientific research fields. Conclusion： Traditional herbal medicine can provide an alternative and complementary approach for treating dementia as evidenced by a scientific mapping analysis.

关键词： dementia mapping positioning traditional herbal medicine

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Clinical usefulness of ankle brachial index and brachial-ankle pulse wave velocity in patients with ischemic stroke

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The Journal of Biomedical Research 2016年第4期30卷 285-291页

作者： Hyung-Suk Lee Hye Lim Lee Ho-seong Han Minju yeo Ji Seon Kim Sung-Hyun Lee sang-soo Lee Dong-Ick Shin Department of Neurology Yuseong Sun General Hospital Daejeon 34084 Korea Department of Neurology Chungbuk National University College of Medicine Chungbuk National University Hospital Cheongju 28644 Korea

Ankle brachial index （ABI） and brachial-ankle pulse wave velocity （baPWV） are widely used noninvasive modalities to evaluate atherosclerosis. Recently, evidence has increased supporting the use of ABI and baPWV as markers of cerebrovascular disease. This study sought to examine the relationship between ABI and baPWV with ischemic stroke. This study also aimed to determine which pathogenic mechanism, large artery disease （LAD） or small vessel disease （SVD）, is related to ABI or baPWV. Retrospectively, 121 patients with ischemic stroke and 38 subjects with no obvious ischemic stroke history were recruited. First, ABI and baPWV were compared between the groups. Then, within the stroke group, the relevance of ABI and baPWV with regard to SVD and LAD, which were classified by brain magnetic resonance image （MRI） and magnetic resonance angiography （MRA） or computed tomography angiography （CTA） findings, was assessed. The baPWV was higher in the stroke group than non-stroke group （1,944.18±416.6 cm/s vs. 1,749.76±669.6 crn/s, P 〈 0.01）. Regarding LAD, we found that mean ABI value was lower in the group with extracranial large artery stenosis （P 〈 0.01）, and there was an inverse linear correlation between ABI and the grade of extracranial large artery stenosis （P〈 0.01）. For SVD, there was a significant correlation between SVD and baPWV （2,057.6±456.57 cm/s in the SVD （＋） group vs. 1,491±271.62 cm/s in the SVD （-） group; P 〈 0.01）. However, the grade of abnormalities detected in SVD did not correlate linearly with baPWV. These findings show that baPWV is a reliable surrogate marker ofischemic stroke. Furthermore, baPWVand ABI can be used to indicate the presence of small vessel disease and large arterial disease, respectively.

关键词： ABI baPWV small vessel disease intracranial artery stenosis extracranial artery stenosis

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The modulation of radiation-induced cell death by genistein in K562 cells:Activation of thymidine kinase 1

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Cell Research 2004年第4期14卷 295-302页

作者： Min Ho JEONG,Young Hee JIN,Eun Young KANG,Wol soon JO,Hwan Tae PARK,Jae Dong LEE,yeo Jin YOO,soo Jin JEONG Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Department of Microbiology Pusan National University Busan Korea Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Research Supporting Center for Medical Science (BK21 program) Dong-A University College of Medicine Busan Korea Virus Tumor Biology Section Laboratory of Cellular Oncology Center for Cancer Research National Cancer Institutes National Institute of Health Bethesda MD 20892 USA

Ionizing radiation is one of the most effective tools in cancer therapy. In a previous study, we reported that protein tyrosine kinase (PTK) inhibitors modulate the radiation responses in the human chronic myelogenous leukemia (CML) cell line K562. The receptor tyrosine kinase inhibitor, genistein, delayed radiation-induced cell death, while non-recepter tyrosine kinase inhibitor, herbimycin A (HMA) enhances radiation-induced apoptosis. In this study, we focused on the modulation of radiation-induced cell death by genistein and performed PCR-select suppression subtractive hybridization (SSH) to understand its molecular mechanism. We identified human thymidine kinase 1 (TK1), which is cell cycle regulatory gene and confirmed expression of TK1 mRNA by Northern blot analysis. Expression of TKl mRNA and TK1 enzymatic activity were parallel in their increase and decrease. TK1 is involved in G1-S phase transition of cell cycle progression. In cell cycle analysis, we showed that radiation induced G2 arrest in K

关键词： K562 radiation cell death genistein thymidine kinase 1 cell cycle.

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Optimal culture conditions for the generation of natural killer cell-induced dendritic cells for cancer immunotherapy

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Cellular & Molecular Immunology 2012年第1期9卷 45-53页

作者： Thanh-Nhan Nguyen-Pham Deok-Hwan Yang Truc-Anh Thi Nguyen Mi-Seon Lim Cheol Yi Hong Mi-Hyun Kim Hyun Ju Lee Youn-Kyung Lee Duck Cho soo-Young Bae Jae-sook Ahn yeo-Kyeoung Kim Ik-Joo Chung Hyeoung-Joon Kim Je-Jung Lee Research Center for Cancer Immunotherapy Chonnam National University Hwasun HospitalJeollanamdoKorea Department of Hematology-Oncology Chonnam National University Hwasun HospitalJeollanamdoKorea Vaxcell-Bio Therapeutics JeollanamdoKorea The Brain Korea 21 Project Center for Biomedical Human Resources at Chonnam National UniversityGwangjuKorea

Dendritic cell(DC)-based vaccines continue to be considered an attractive tool for cancer *** require an additional signal from the environment or other immune cells to polarize the development of immune responses toward T helper 1(Th1)or Th2 *** play a role in natural killer(NK)cell activation,and NK cells are also able to activate and induce the maturation of *** investigated the types of NK cells that can induce the maturation and enhanced function of DCs and the conditions under which these interactions *** that were activated by resting NK cells in the presence of inflammatory cytokines exhibited increased expression of several costimulatory molecules and an enhanced ability to produce *** cell-stimulated DCs potently induced Th1 polarization and exhibited the ability to generate tumor antigen-specific cytotoxic T lymphocyte *** data demonstrate that functional DCs can be generated by coculturing immature DCs with freshly isolated resting NK cells in the presence of Toll-like receptor agonists and proinflammatory cytokines and that the resulting DCs effectively present antigens to induce tumor-specific T-cell responses,which suggests that these cells may be useful for cancer immunotherapy.

关键词： cancer immunotherapy dendritic cells natural killer cells signal

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Isolation of aromatic yeasts(non-Saccharomycescerevisiae) from Korean traditional nuruksand identification of fermentation characteristics

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Agricultural Sciences 2013年第5期4卷 136-140页

作者： Choi Ji Ho soo Hwan yeo Ji-Hye Park Han Seok Choi Ji-Eun Gang soo In Kim Seok Tae Jeong So Ra Kim Fermentation & Food Processing Division Department of Agro-food Resource NAAS RDA Suwon Korea

Ethyl caproate and isoamyl alcohol are important for the quality of Yakju, one of the Korean traditional alcoholic beverages. From Korean traditional fermentation agent, Nuruk, we have isolated 8 yeasts which produced rich aromatic compounds using YEPD agar plates (1% yeast extract, 2% peptone, 2% dextrose, 2% agar) containing 50 uL cerulenin at 30℃. The isolated aromatic yeasts are identified as Pichia anomala (4 strains), Pichia fabianii (2 strains), Pichia farinose (1 strains), Geotrichum candidum (1 strains). We conducted alcohol fermentation with each of the aromatic yeasts and the compounds (ethyl caproate and isoamyl alcohol) producing range were 59.5 - 193.2 ppm and 10.8 - 91.6 ppm respectively. As a control, Fermivin®, famous aromatic wine yeast, was 89.4 ppm and 16.2 ppm respectively. We also find that the isolated Pichia anomala could produce higher level ethanol (4.2% - 5.0%, v/v) than other species (0.4% - 2.2%, v/v). Using the aromatic yeasts in fermentation industries, we expect to improve the quality of traditional alcoholic beverages.

关键词： Aromatic Yeast Pichia sp. Yakju Korean Traditional Alcoholic Beverage Ethyl Caproate

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