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High-resolution, high-speed, chromotropic color printing based on fs-laser-induced gold/graphene HSFLs

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Photonics Research 2025年第1期13卷 125-139页

作者： SHIRU JIANG WOO-BIN LEE STUART ABERDEEN sang-shin LEE Department of Electronic Engineering Kwangwoon University Nano Device Application Center Kwangwoon University

Through achieving high-spatial-frequency laser-induced periodic surface structures （HSFLs） on a gold/graphene hybrid film,we introduce a high-speed,high-resolution,and wide-gamut chromotropic color printing *** method effectively addresses the trade-off between throughput and resolution in laser *** realize Au HSFL,disordered lattice structures and high transmittance of amorphous Au （a-Au） thin film are used to overcome the rapid hot-electron diffusion and loss of plasmonic coherence typically observed on low-loss metal surfaces,*** with crystallization in Au and modulated surface plasmon polaritons by artificial"seed"pre-structure growing in a SiO2/Si substrate,HSFL emerged with a period of 100 nm on crystalline Au after single and rapid femtosecond laser *** equips the proposed color printing with highresolution and high-speed features *** addition,the crystallization process is demonstrated to initiate change in the complex refractive index of Au,which causes wide-gamut *** chromotropic capability,which facilitates the background color to be tailored in color as well as into desirable shapes independently,enables three-level anti-counterfeiting based on the proposed color ***,the proposed color printing is amenable for practical implementation in diverse applications,including security marking and data storage,ranging from nanoscale to large-scale fabrication.?2024 Chinese Laser Press

关键词： Chemical vapor deposition Electron beam lithography Localized surface plasmon resonance Scanning electron microscopy Thin films Ultrafast lasers

Cross-Domain Bilateral Access Control on Blockchain-Cloud Based Data Trading System

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 671-688页

作者： Youngho Park Su Jin shin sang uk shin Electronics and Information Communications Research Center Pukyong National UniversityBusan48513Republic of Korea Department of Information Security Graduate SchoolPukyong National UniversityBusan48513Republic of Korea Division of Computer Engineering Pukyong National UniversityBusan48513Republic of Korea

Data trading enables data owners and data requesters to sell and purchase *** the emergence of blockchain technology,research on blockchain-based data trading systems is receiving a lot of ***,to reduce the on-chain storage cost,a novel paradigm of blockchain and cloud fusion has been widely considered as a promising data trading ***,the fact that data can be used for commercial purposes will encourage users and organizations from various fields to participate in the data *** the data marketplace,it is a challenge how to trade the data securely outsourced to the external cloud in a way that restricts access to the data only to authorized users across multiple *** this paper,we propose a cross-domain bilateral access control protocol for blockchain-cloud based data trading *** consider a system model that consists of domain authorities,data senders,data receivers,a blockchain layer,and a cloud *** proposed protocol enables access control and source identification of the outsourced data by leveraging identity-based cryptographic *** the proposed protocol,the outsourced data of the sender is encrypted under the target receiver’s identity,and the cloud provider performs policy-match verification on the authorization tags of the sender and receiver generated by the identity-based signature ***,data trading can be achieved only if the identities of the data sender and receiver simultaneously meet the policies specified by each *** demonstrate efficiency,we evaluate the performance of the proposed protocol and compare it with existing studies.

关键词： Bilateral access control blockchain data sharing policy-match

Blockchain-Based Secure and Fair IoT Data Trading System with Bilateral Authorization

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Computers, Materials & Continua 2023年第8期76卷 1871-1890页

作者： Youngho Park Mi Hyeon Jeon sang uk shin Electronics and Information Communications Research Center Pukyong National UniversityBusanKorea Department of Information Security Graduate SchoolPukyong National UniversityBusanKorea Division of Computer Engineering Pukyong National UniversityBusanKorea

These days,data is regarded as a valuable asset in the era of the data economy,which demands a trading platform for buying and selling ***,online data trading poses challenges in terms of security and fairness because the seller and the buyer may not fully trust each ***,in this paper,a blockchain-based secure and fair data trading system is proposed by taking advantage of the smart contract and matchmaking *** proposed system enables bilateral authorization,where data trading between a seller and a buyer is accomplished only if their policies,required by each other,are satisfied *** can be achieved by exploiting the security features of the matchmaking *** guarantee non-repudiation and fairness between trading parties,the proposed system leverages a smart contract to ensure that the parties honestly carry out the data trading ***,the smart contract in the proposed system does not include complex cryptographic operations for the efficiency of onchain ***,these operations are carried out by off-chain parties and their results are used as input for the on-chain *** system also uses an arbitration protocol to resolve disputes based on the trading proof recorded on the *** performance of the protocol is evaluated in terms of off-chain computation overhead and on-chain gas *** results of the experiments demonstrate that the proposed protocols can enable the implementation of a cost-effective data trading system.

关键词： Bilateral authorization blockchain data marketplace fair exchange policy matching secure data trading

Short-TermWind Power Forecast Based on STL-IAOA-iTransformer Algorithm:A Case Study in Northwest China

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Energy Engineering 2025年第2期122卷 405-430页

作者： Zhaowei Yang Bo Yang Wenqi Liu Miwei Li Jiarong Wang Lin Jiang Yiyan sang Zhenning Pan Faculty of Science Kunming University of Science and TechnologyKunming650500China Faculty of Electric Power Engineering Kunming University of Science and TechnologyKunming650500China Department of Electrical Engineering and Electronics University of LiverpoolLiverpoolL693GJUK College of Electrical Engineering Shanghai University of Electric PowerShanghai200090China School of Electric Power Engineering South China University of TechnologyGuangzhou510640China

Accurate short-term wind power forecast technique plays a crucial role in maintaining the safety and economic efficiency of smart *** numerous studies have employed various methods to forecast wind power,there remains a research gap in leveraging swarm intelligence algorithms to optimize the hyperparameters of the Transformer model for wind power *** improve the accuracy of short-term wind power forecast,this paper proposes a hybrid short-term wind power forecast approach named STL-IAOA-iTransformer,which is based on seasonal and trend decomposition using LOESS(STL)and iTransformer model optimized by improved arithmetic optimization algorithm(IAOA).First,to fully extract the power data features,STL is used to decompose the original data into components with less redundant *** extracted components as well as the weather data are then input into iTransformer for short-term wind power *** final predicted short-term wind power curve is obtained by combining the predicted *** improve the model accuracy,IAOA is employed to optimize the hyperparameters of *** proposed approach is validated using real-generation data from different seasons and different power stations inNorthwest China,and ablation experiments have been ***,to validate the superiority of the proposed approach under different wind characteristics,real power generation data fromsouthwestChina are utilized for *** results with the other six state-of-the-art prediction models in experiments show that the proposed model well fits the true value of generation series and achieves high prediction accuracy.

关键词： Short-termwind power forecast improved arithmetic optimization algorithm iTransformer algorithm SimuNPS

EXPLICIT BOUNDS OF EIGENVALUES FOR STIFFNESS MATRICES BY QUADRATIC HIERARCHICAL BASIS METHOD)

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Journal of Computational Mathematics 2003年第2期21卷 113-124页

作者： sang Dong KIM Byeong Chun shin Department of Mathematics Kyungpook National UniversityTaegu 702-701KoreaDepartment of MathematicsChonnam National UniversityGwangju 500-757Korea

The bounds for the eigenvalues of the stiffness matrices in the finite element discretization corresponding to Lu := - u' with zero boundary conditions by quadratic hierarchical basis are shown explicitly. The condition number of the resulting system behaves like O(1/h) where h is the mesh size. We also analyze a main diagonal preconditioner of the stiffness matrix which reduces the condition number of the preconditioned system to O(1).

关键词： hierarchical basis multilevel

CHEBYSHEV WEIGHTED NORM LEAST-SQUARES SPECTRAL METHODS FOR THE ELLIPTIC PROBLEM

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Journal of Computational Mathematics 2006年第4期24卷 451-462页

作者： sang Dong Kim Byeong Chun shin Department of Mathematics Kyungpook National University Taegu 702-701 Korea Department of Mathematics Chonnam National University Kwangju 500-757 Korea

We develop and analyze a first-order system least-squares spectral method for the second-order elhptic boundary value problem with variable coefficients. We first analyze the Chebyshev weighted norm least-squares functional defined by the sum of the Lw^2- and Hw^-1- norm of the residual equations and then we eplace the negative norm by the discrete negative norm and analyze the discrete Chebyshev weighted least-squares method. The spectral convergence is derived for the proposed method. We also present various numerical experiments. The Legendre weighted least-squares method can be easily developed by following this paper.

关键词： Least-squares methods Spectral method Negative norm.

Perspectives of laparoscopic surgery for gastric cancer

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Chinese Journal of Cancer Research 2022年第5期34卷 533-538页

作者： Jeong Ho Song sang-uk Han Department of Surgery Ajou University School of MedicineSuwon 16499Republic of Korea

Gastrectomy is the main treatment option for gastric cancer patients. Laparoscopic approach has become popular as an alternative to open method during the last decades, and clinical trials have revealed safety and feasibility in the short-and long-term outcomes of laparoscopic gastrectomy. The aim of this review is to summarize the results of prospective clinical trials and propose future perspectives for laparoscopic gastrectomy.

关键词： Gastric cancer laparoscopic gastrectomy minimally-invasive surgery

Enhancing the total organic carbon measurement efficiency for water samples containing suspended solids using alkaline and ultrasonic pretreatment methods

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Journal of Environmental Sciences 2020年第4期32卷 20-28页

作者： Han-Saem Lee Jin Hur Hyun-sang shin Department of Environment Energy Engineering Seoul National University of Science&TechnologySeoul01811South Korea Department of Environment&Energy Sejong UniversitySeoul05006South Korea

In this study,we investigated the effect of sample pretreatments(ultrasonication and alkaline extraction)on total organic carbon(TOC)measurements for water samples containing suspended solids(SS)of four different origins(algae,soil,sewage sludge,and leaf litter)to more clearly assess the impact of particulate organic carbon(POC)in *** effects each of ultrasonication(power,pulse,etc.)and alkaline extraction condition(concentration,time,etc.)on the TOC recovery and precision were investigated,and the results were compared with those of a new sample pre treatment method combining both *** treatment(0.01 mol/L NaOH)showed higher precision than ultrasonication(100/5 on/off pulse),and notably,the differences among the measured TOC values in samples of different origins were also further reduced in the alkaline *** suggests that the ultrasonic pretreatment results can be mainly attributed to the increase in POC recovery through particle size reduction,whereas the alkaline treatment results are achieved through the enhancement of POC *** is also particularly noteworthy that a higher TOC recovery of 87.6%±7.4%with a higher precision of 8.4%could be obtained using the combined method,compared to each treatment(ultrasonic:TOC recovery 34.7%,relative standard deviation 63.1%;alkaline:49.6%and 23.0%,respectively).Thus,simultaneous pretreatment with ultrasonication and alkaline extraction is expected to increase the oxidation rate of organic matter and the homogeneity of the samples,minimizing the loss of POC measurement values,and thereby improving the reliability of the TOC measurements of water samples containing SS.

关键词： Total organic carbon Suspended solids Pretreatment Ultrasonication Alkaline extraction

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Journal of Central South University 2013年第9期20卷 2440-2446页

作者： LEE sang-hyuk shin Seung-soo Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Department of Information Security Tongmyong University

Similarity measure design on non-overlapped data was carried out and compared with the case of overlapped *** feature of similarity on overlapped data to non-overlapped data was provided by *** the artificial data illustration,it was proved that the conventional similarity measure was not proper to calculate the similarity measure of the non-overlapped *** overcome the unbalance problem,similarity measure on non-overlapped data was obtained by considering neighbor ***,different approaches to design similarity measure were proposed and proved by consideration of neighbor *** the example of artificial data,similarity measure calculation was carried *** measure extension to intuitionistic fuzzy sets(IFSs)containing uncertainty named hesitance was also followed.

关键词： similarity measure overlapped data non-overlapped data intuitionistic data