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Analysis of interval constants in calendars affiliated with the Shoushili

Research in Astronomy and Astrophysics 2014年第4期14卷 485-496页

作者： byeong-hee mihn Ki-Won Lee Young Sook Ahn Advanced Astronomy and Space Science Division Korea Astronomy and Space Science Institute Department of Astronomy and Space Science Chungbuk National University Institute of Liberal Education Catholic University of Daegu

We study interval constants that are related to motions of the Sun and Moon, i.e., the Qi, Intercalation, Revolution and Crossing interval, in calendars affiliated with the Shoushi calendar （Shoushili）, such as Datongli and Chiljeongsannaepyeon. It is known that these interval constants were newly introduced in the Shoushili calendar and revised afterward, except for the Qi interval constant, and the revised values were adopted in later calendars affiliated with the Shoushili. We first investigate the accu- racy of these interval constants and then the accuracy of calendars affiliated with the Shoushili in terms of these constants by comparing times for the new moon and the maximum solar eclipse calculated by each calendar with modem methods of calcula- tion. During our study, we found that the Qi and Intercalation interval constants used in the early Shoushili were well determined, whereas the Revolution and Crossing interval constants were relatively poorly measured. We also found that the interval constants used by the early Shoushili were better than those of the later one, and hence better than those of Datongli and Chiljeongsannaepyeon. On the other hand, we found that the early Shoushili is, in general, a worse calendar than Datongli for use in China but a better one than Chiljeongsannaepyeon for use in Korea in terms of times for the new moon and when a solar eclipse occurs, at least for the period 1281 - 1644. Finally, we verified that the times for sunrise and sunset in the Shoushili-Li-Cheng and Mingshi are those at Beijing and Nanjing, respectively.

关键词： history and philosophy of astronomy: general -- celestial mechanics --ephemerides

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Quality of Service Improvement with Optimal Software-Defined Networking Controller and Control Plane Clustering

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Computers, Materials & Continua 2021年第4期67卷 849-875页

作者： Jehad Ali byeong-hee Roh Department of Computer Engineering and Department of AI Convergence Network Suwon16499Korea

The controller is indispensable in software-defined networking(SDN).With several features,controllers monitor the network and respond promptly to dynamic *** performance affects the quality-of-service(QoS)in *** controller supports a set of ***,the support of the features may be more prominent in one ***,a single controller leads to performance,single-point-of-failure(SPOF),and scalability *** overcome this,a controller with an optimum feature set must be available for ***,a cluster of optimum feature set controllers will overcome an SPOF and improve the QoS in ***,leveraging an analytical network process(ANP),we rank SDN controllers regarding their supporting features and create a hierarchical control plane based cluster(HCPC)of the highly ranked controller computed using the ANP,evaluating their performance for the OS3E *** results demonstrated in Mininet reveal that a HCPC environment with an optimum controller achieves an improved ***,the experimental results validated in Mininet show that our proposed approach surpasses the existing distributed controller clustering(DCC)schemes in terms of several performance metrics i.e.,delay,jitter,throughput,load balancing,scalability and CPU(central processing unit)utilization.

关键词： Quality-of-service software-defined networking controller hierarchical control plane clustering scalability

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An Intelligent Admission Control Scheme for Dynamic Slice Handover Policy in 5G Network Slicing

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Computers, Materials & Continua 2023年第5期75卷 4611-4631页

作者： Ratih Hikmah Puspita Jehad Ali byeong-hee Roh Department of AI Convergence Network Ajou UniversitySuwon16499Korea Department of Computer Engineering and Department of AI Convergence NetworkAjou UniversitySuwon16499Korea

5G use cases,for example enhanced mobile broadband(eMBB),massive machine-type communications(mMTC),and an ultra-reliable low latency communication(URLLC),need a network architecture capable of sustaining stringent latency and bandwidth requirements;thus,it should be extremely flexible and *** enables service providers to develop various network slice *** users travel from one coverage region to another area,the callmust be routed to a slice thatmeets the same or different *** research aims to develop and evaluate an algorithm to make handover decisions appearing in 5G sliced *** of thumb which indicates the accuracy regarding the training data classification schemes within machine learning should be considered for validation and selection of the appropriate machine learning ***,this study discusses the network model’s design and implementation of self-optimization Fuzzy Qlearning of the decision-making algorithm for slice *** algorithm’s performance is assessed by means of connection-level metrics considering the Quality of Service(QoS),specifically the probability of the new call to be blocked and the probability of a handoff call being ***,within the network model,the call admission control(AC)method is modeled by leveraging supervised learning algorithm as prior knowledge of additional ***,to mitigate high complexity,the integration of fuzzy logic as well as Fuzzy Q-Learning is used to discretize state and the corresponding action *** results generated from our proposal surpass the traditional methods without the use of supervised learning and fuzzy-Q learning.

关键词： 5g network slice fuzzy q-Learning slice handover

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Aligned Ion Conduction Pathway of Polyrotaxane‑Based Electrolyte with Dispersed Hydrophobic Chains for Solid‑State Lithium–Oxygen Batteries

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Nano-Micro Letters 2025年第2期17卷 169-186页

作者： Bitgaram Kim Myeong‑Chang Sung Gwang‑hee Lee Byoungjoon Hwang Sojung Seo Ji‑Hun Seo Dong‑Wan Kim Department of Materials Science and Engineering Korea University145 Anam‑RoSeongbuk‑GuSeoul 02841Republic of Korea School of Civil Environmental and Architectural EngineeringKorea University145 Anam‑RoSeongbuk‑GuSeoul 02841Republic of Korea Materials Science and Chemical Engineering Center Institute for Advanced Engineering(IAE)Yongin 17180Republic of Korea

A critical challenge hindering the practical application of lithium–oxygen batteries(LOBs)is the inevitable problems associated with liquid electrolytes,such as evaporation and safety *** study addresses these problems by proposing a modified polyrotaxane(mPR)-based solid polymer electrolyte(SPE)design that simultaneously mitigates solvent-related problems and improves ***-SPE exhibits high ion conductivity(2.8×10^(−3)S cm^(−1)at 25℃)through aligned ion conduction pathways and provides electrode protection ability through hydrophobic chain *** this mPR-SPE into solid-state LOBs resulted in stable potentials over 300 *** situ Raman spectroscopy reveals the presence of an LiO_(2)intermediate alongside Li_(2)O_(2)during oxygen *** situ X-ray diffraction confirm the ability of the SPE to hinder the permeation of oxygen and moisture,as demonstrated by the air permeability *** present study suggests that maintaining a low residual solvent while achieving high ionic conductivity is crucial for restricting the sub-reactions of solid-state LOBs.

关键词： Solid polymer electrolyte Lithium-oxygen batteries Polyrotaxane ion conductivity Hydrophobic chain

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A unique and well-designed 2D graphitic carbon nitride with sponge-like architecture for enhanced visible-light photocatalytic activity

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Journal of Materials Science & Technology 2023年第28期159卷 99-111页

作者： Mahdieh Razi Asrami Milad Jourshabani Min hee Park Daiha Shin byeong-Kyu Lee Department of Civil and Environment Engineering University of UlsanDaehakro 93NamguUlsan 680-749Republic of Korea Western Seoul Center Korea Basic Science InstituteSeoul 03759Republic of Korea

A unique and well-designed 2D graphitic carbon nitride(g-CN)with sponge-like architecture has been successfully synthesized by engineering supramolecular self-assembly and well-organized SiO 2 *** resulting material showed great optical and textural characteristics with plenty of open and uni-form pores,which are very helpful whether for multiple light scattering or mass *** formation of boosted delocalizedπ-conjugated electrons at the molecular level and condensed heptazine building blocks result in enhanced carrier density and charge transfer *** emission spectroscopy and time-resolved fluorescence lifetime(TRPL)strongly confirmed the enhancement of light harvesting and prolonged charge carrier *** optimized sample exhibited a degradation performance of 95%of bisphenol A(BPA,10 mg L-1)after 60 min under visible-light irradiation at pH=*** the scavenging experiments,probing experiments as well as electron paramagnetic resonance(EPR)confirm that•O 2-is the dominant reactive species that fragments bisphenol ***,density functional theory(DFT)calculations unveil that the BPA interaction with a modified g-CN containing porous structure is energeti-cally more favorable than non-porous pure ***,the toxicity assessment showed that the final degradation products were placed in the non-harmful category based on acute and chronic *** study presents a promising strategy to modify the g-CN properties and provides an efficient technique for boosting its visible-light photocatalytic activity.

关键词： Sponge-like Carbon nitride Photocatalysis Visible-light

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A Novel Features Prioritization Mechanism for Controllers in Software-Defined Networking

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Computers, Materials & Continua 2021年第10期69卷 267-282页

作者： Jehad Ali Byungkyu Lee Jimyung Oh Jungtae Lee byeong-hee Roh Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499Korea LIG Next1 Co.Ltd. Seongnam13488Korea Department of Software and Computer Engineering Ajou UniversitySuwon16499Korea

The controller in software-defined networking(SDN)acts as strategic point of control for the underlying *** controllers are available,and every single controller retains a number of features such as the OpenFlow version,clustering,modularity,platform,and partnership support,*** are regarded as vital when making a selection among a set of *** such,the selection of the controller becomes a multi-criteria decision making(MCDM)problem with several ***,an increase in this number will increase the computational complexity of the controller selection ***,the selection of controllers based on features has been studied by the ***,the prioritization of features has gotten less ***,several features increase the computational complexity of the selection *** this paper,we propose a mathematical modeling for feature prioritization with analytical network process(ANP)bridge model for SDN *** results indicate that a prioritized features model lead to a reduction in the computational complexity of the selection of SDN *** addition,our model generates prioritized features for SDN controllers.

关键词： Software-defined networking controllers feature-based selection quality-of-service analytical network process analytical hierarchy process

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Novel Architecture of OneM2M-Based Convergence Platform for Mixed Reality and IoT

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Computers, Materials & Continua 2022年第4期71卷 51-69页

作者： Seungwoon Lee Woogeun Kil byeong-hee Roh SJ Kim Jin-suk Kang Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499Korea Howard R.Hughes College of Engineering University of NevadaLas VegasNV89154USA AST Co.Ltd. Suwon16681Korea

There have been numerous works proposed to merge augmented reality/mixed reality(AR/MR)and Internet of Things(IoT)in various ***,they have focused on their specific target applications and have limitations on interoperability or reusability when utilizing them to different domains or adding other devices to the *** paper proposes a novel architecture of a convergence platform for AR/MR and IoT systems and *** proposed architecture adopts the oneM2M IoT standard as the basic framework that converges AR/MR and IoT systems and enables the development of application services used in general-purpose environments without being subordinate to specific systems,domains,and device *** implement the proposed architecture utilizing the open-source oneM2M-based IoT server and device platforms released by the open alliance for IoT standards(OCEAN)and Microsoft HoloLens as an MR device *** also suggest and demonstrate the practical use cases and discuss the advantages of the proposed architecture.

关键词： Internet of things(IoT) augmented realty(AR) mixed reality(MR) microsoft HoloLens oneM2M convergence platform

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Analysis of the Sloshing Flows of a LNG Cargo Tank

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Journal of Thermal Science 2011年第5期20卷 442-448页

作者： Deog hee Doh Hyo Je Jo byeong Rog Shin Min Cheol Ryu Yoon Sik Hwang Division of Mechanical and Information Eng. Korea Maritime University Division of Naval Architecture and Ocean Systems Eng. Korea Maritime University Department of Mechanical Engineering Changwon National University Fluid Dynamics R&D Team DSMEGeoje-siKorea

The sloshing flows in a LNG cargo tank model （1/50 scale） of a ship are measured by an embedded pano- ramicPIV system. The measurement system consists of a Nd-Yag laser（120mJ, 15Hz）, two cameras（lk x lk） and a host computer. Four experimental cases were tested for the tank model, in which swaying motions are made by a 6 DOF-motion platform. The amplitudes of swaying are 9.76mm and 29.29mm, and the swaying frequencies are 0.633Hz and 0.828Hz. The measurement regions are the vertical plane 50ram away from the front wall of the tank where a pump tower is installed. It was verified that the flow patterns of the sloshing are similar to each other when the swaying amplitudes are similar.

关键词： Sloshing Model Ship Cargo Tank Embedded Panoramic PIV Swaying Motion

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Understanding the physical metallurgy of the CoCrFeMnNi high-entropy alloy:an atomistic simulation study

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npj Computational Materials 2018年第1期4卷 662-670页

作者： Won-Mi Choi Yong hee Jo Seok Su Sohn Sunghak Lee byeong-Joo Lee Department of Material Science and Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea

Although high-entropy alloys(HEAs)are attracting interest,the physical metallurgical mechanisms related to their properties have mostly not been clarified,and this limits wider industrial applications,in addition to the high alloy *** clarify the physical metallurgical reasons for the materials phenomena(sluggish diffusion and micro-twining at cryogenic temperatures)and investigate the effect of individual elements on solid solution hardening for the equiatomic CoCrFeMnNi HEA based on atomistic simulations(Monte Carlo,molecular dynamics and molecular statics).A significant number of stable vacant lattice sites with high migration energy barriers exists and is thought to cause the sluggish *** predict that the hexagonal close-packed(hcp)structure is more stable than the face-centered cubic(fcc)structure at 0 K,which we propose as the fundamental reason for the micro-twinning at cryogenic *** alloying effect on the critical resolved shear stress(CRSS)is well predicted by the atomistic simulation,used for a design of non-equiatomic fcc HEAs with improved strength,and is experimentally *** study demonstrates the applicability of the proposed atomistic approach combined with a thermodynamic calculation technique to a computational design of advanced HEAs.

关键词： alloy alloying entropy

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Race Classification Using Deep Learning

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Computers, Materials & Continua 2021年第9期68卷 3483-3498页

作者： Khalil Khan Rehan Ullah Khan Jehad Ali Irfan Uddin Sahib Khan byeong-hee Roh Department of Information Technology and Computer Science Pak-Austria Institute of Applied Science and TechnologyHaripurPakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwonKorea Department of Computer Science Superior CollegeLahorePakistan Department of Electronics and Telecommunications Politecnico di TorinoTorinoItaly

Race classification is a long-standing challenge in the field of face image *** investigation of salient facial features is an important task to avoid processing all face *** segmentation strongly benefits several face analysis tasks,including ethnicity and race *** propose a race-classification algorithm using a prior face segmentation framework.A deep convolutional neural network(DCNN)was used to construct a face segmentation *** training the DCNN,we label face images according to seven different classes,that is,nose,skin,hair,eyes,brows,back,and *** DCNN model developed in the first phase was used to create segmentation *** probabilistic classification method is used,and probability maps(PMs)are created for each semantic *** investigated five salient facial features from among seven that help in race *** are extracted from the PMs of five classes,and a new model is trained based on the *** assessed the performance of the proposed race classification method on four standard face datasets,reporting superior results compared with previous studies.

关键词： Deep learning facial feature face analysis learning race race classification

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