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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

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

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

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

A Hierarchal Clustered Based Proactive Caching in NDN-Based Vehicular Network

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Computer Systems Science & Engineering 2023年第10期47卷 1185-1208页

作者： Muhammad Yasir Khan Muhammad Adnan Jawaid Iqbal Noor ul Amin byeong-hee roh Jehad Ali Department of Computer Science&Information Technology Hazara University Mansehra21120Pakistan Department of Electronics Engineering Kookmin University Seoul Korea Faculty of Computing Riphah International University Islamabad Pakistan Department of AI Convergence Network Ajou UniversitySuwon16499Korea

An Information-Centric Network(ICN)provides a promising paradigm for the upcoming internet architecture,which will struggle with steady growth in data and changes in *** ICN architectures have been designed,including Named Data Networking(NDN),which is designed around content delivery instead of *** data is the central part of the ***,NDN was developed to get rid of the dependency on IP addresses and provide content *** is one of the major research dimensions for this upcoming internet *** research has been carried out to solve the mobility issues,but it still has problems like handover delay and packet loss ratio during real-time video streaming in the case of consumer and producer *** solve this issue,an efficient hierarchical Cluster Base Proactive Caching for Device Mobility Management(CB-PC-DMM)in NDN Vehicular Networks(NDN-VN)is proposed,through which the consumer receives the contents proactively after handover during the mobility of the *** a consumer moves to the next destination,a handover interest is sent to the connected router,then the router multicasts the consumer’s desired data packet to the next hop of neighboring ***,once the handover process is completed,consumers can easily get the content to the newly connected router.A CB-PCDMM in NDN-VN is proposed that improves the packet delivery ratio and reduces the handover delay aswell as cluster ***,the intra and inter-domain handover handling procedures in CB-PC-DMM for NDN-VN have been *** the validation of our proposed scheme,MATLAB simulations are *** simulation results show that our proposed scheme reduces the handover delay and increases the consumer’s interest satisfaction *** proposed scheme is compared with the existing stateof-the-art schemes,and the total percentage of handover delays is decreased by up to 0.1632%,0.3267%,2.3437%,2.3255%,and 3.7313%at the mobil

关键词： Vehicular network named data networking caching hierarchical architecture

The effects of aerobic exercise training on oxidant-antioxidant balance, neurotrophic factor levels, and blood-brain barrier function in obese and non-obese men

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Journal of Sport and Health Science 2017年第4期6卷 447-453页

作者： hee-Tae roh Wi-Young So Department of Physical Education College of Arts and Physical Education Dong-A University Busan 604-714 Republic of Korea Sports and Health Care Major College of Humanities and Arts Korea National University of Transportation Chungju-si 380-702 Republic of Korea

Purpose: The purpose of this study was to investigate the effects of obesity and aerobic exercise training on oxidant-antioxidant balance,neurotrophic factor levels, and blood-brain barrier(BBB) ***: Ten non-obese healthy men(body mass index < 25 kg/m2) and 10 obese men(body mass index ≥ 25 kg/m2) were included in the *** groups performed treadmill exercise for 40 min 3 times weekly for 8 weeks at 70% heart rate reserve. Blood samples were collected to examine oxidant-antioxidant balance(reactive oxygen species(ROS) and superoxide dismutase(SOD) activity levels), neurotrophic factors(brain-derived neurotrophic factor(BDNF), nerve growth factor, and glial cell line-derived neurotrophic factor levels), and BBB function(S100βand neuron-specific enolase(NSE) levels) before and after exercise ***: The obese group showed significantly greater changes than the non-obese group in serum ROS(-0.46 ± 0.31 mmol/L vs.-0.10 ±0.17 mmol/L,p=0.005),serum S100 p levels(-8.50 ± 5.92 ng/L vs.-0.78 ± 5.45 ng/L,p=0.007),and serum NSE levels(-0.89 ± 0.54 μg/L vs.-0.01 ± 0.74 μg/L,p= 0.007) after training. At baseline,the obese group showed significantly higher serum ROS and S100β levels and significantly lower serum SOD activity and BDNF levels than the non-obese group(p < 0.05). The obese group showed significantly lower serum ROS, S100β,and NSE levels and significantly higher serum SOD activity and BDNF levels after training compared with baseline(p < 0.05).Conclusion: These results suggest that obesity can reduce serum neurotrophic factor levels and can induce BBB dysfunction. On the other hand,aerobic exercise can improve an oxidant-antioxidant imbalance in obese subjects and limit BBB dysfunction.

关键词： Blood-brain barrier Exercise training Neurotrophic factor Obesity Oxidative stress Redox balance

Controlled oxidation of Ni for stress-free hole transport layer of large-scale perovskite solar cells

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Nano Research 2019年第12期12卷 3089-3094页

作者： Seongha Lee hee-Suk roh Gill Sang Han Jung-Kun Lee Department of Mechanical Engineering and Materials Science University of PittsburghPennsylvania 15261USA School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwon 16419Republic of Korea

The effect of the residual thermal stress of NiO films on the performance of an inverted type perovskite solar cell was *** this study,NiO films were grown on fluorine dopedtin oxide(FTO)substrates of different surface roughness by thermally oxidizing Ni film and weretested as a hole transport layer for large-scale perovskite solar *** and simulation results show that it is very important tosuppress the appearance of the residual stress at the NiO-FTO in terface during the oxidation of the Ni film for effective hole extracti *** Ni oxidation on the flat FTO film produced in-plane compressive stress in the NiO film due to the Ni film volume *** led to theformation of defects including small *** residual stress and defects in creased leakage curre nt through the NiO film,preve ntingholes from being selectively collected at the NiO-perovskite ***,when Ni was deposited and oxidized on the rough surface,the residual stress of the NiO film was negligible and its inhere nt high resistance was ***-free NiO film is an excelle nt holetransport layer that stops the photogenerated electrons of the perovskite layer from moving to *** improvements in the structural andelectrical qualities of the NiO film by engirteering the residual stress reduce the carrier recombination and increase the power conversi onefficiency of the perovskite solar cells to 16.37%.

关键词： nickel oxidation surface roughness residual stress perovskite solar cells large scale processing

Obesity promotes oxidative stress and exacerbates blood-brain barrier disruption after high-intensity exercise

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Journal of Sport and Health Science 2017年第2期6卷 225-230页

作者： hee-Tae roh Su-Youn Cho Wi-Young So Department of Physical Education Dong-A University Busan 604-714 Republic of Korea School of Taekwondo College of Creative Human ResourcesYoungsan UniversityYangsan-si 626-790Republic of Korea Sports and Health Care Major College of Humanities and ArtsKorea National University of TransportationChungju-si 380-702Republic of Korea

Purpose: The purpose of this study was to investigate the effects of obesity and high-intensity acute exercise on oxidant-antioxidant status,neurotrophic factor expression, and blood-brain barrier(BBB) ***: Twenty-four healthy, untrained men(12 non-obese(mean 14.9% body fat) and 12 obese subjects(mean 29.8% body fat)) performed20 min of continuous submaximal aerobic exercise at 85% maximal oxygen consumption. Blood sampling was performed to examine the oxidant-antioxidant status(reactive oxygen species(ROS) and superoxide dismutase(SOD)), neurotrophic factors(brain-derived neurotrophic factor(BDNF) and nerve growth factor(NGF)), and BBB disruption(S100β and neuron-specific enolase) before and after acute ***: The obese group showed significantly higher pre-exercise serum ROS levels and significantly lower pre-exercise serum SOD levels than the non-obese group(p < 0.05). Serum ROS, SOD, BDNF, NGF, and S100β levels were significantly increased post-exercise compared with pre-exercise levels in both the non-obese and the obese groups(p < 0.05). The obese group showed significantly higher serum ROS, BDNF, NGF,and S100β levels post-exercise compared to the non-obese group(p < 0.05).Conclusion: Our study suggests that episodic vigorous exercise can increase oxidative stress and blood neurotrophic factor levels and induce disruption of the BBB. Moreover, high levels of neurotrophic factor in the blood after exercise in the obese group may be due to BBB disruption,and it is assumed that oxidative stress was the main cause of this BBB disruption.

关键词： Antioxidant enzyme Blood-brain barrier Exercise Neurotrophic factor Obesity Oxidative stress

Identification of Tsuga Germplasm by Morphological Characters and RAPD Markers

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应用与环境生物学报 2007年第2期13卷 145-151页

作者： roh Mark S DE BENEDETTI Laura JOUNG Young hee LEE Nam Sook US Department of Agriculture Agricultural Research ServiceNational ArboretumFloral and Nursery Plants Research UnitBeltsvilleMD 20705USA Istituto Sperimentale per la Floricoltura SanremoImperiaItaly Chonnam National University School of Biological Sciences and TechnologyGwangjuKorea Ewha Womans University Department of Life SciencesSeoulKorea

Germplasm collection is important to preserve and maximize genetic diversity for germplasm *** dumosa(***)Eichler in Engler & *** *** ***(Downie)Silba germplasm was collected from three localities in China:***,Wenfeng Temple and ***,Yunnan *** were identified based on morphological characters and RAPD *** shapes of the apices and margins of needles were examined,and the length and width of needles,cones and seeds from accessions of mature plants were used to compare the morphological differences and to identify the *** markers generated by randomly amplified polymorphic DNA(RAPD)were also used to characterize the *** the clustering based on RAPD markers was inconsistent with the morphological characters of the needles,based on the overall morphological characters and on RAPD markers,the accessions from *** and Wenfeng Temple were identified as *** ***,and those from *** identified as *** identification of the accessions was made based on morphology and by RAPD markers *** results indicate that the shapes of the apices and margins of needles particularly from young plants could not be used as a possible key to identify *** and *** *** 6,Tab 3,Ref

关键词：形态特征 RAPD分子标记种质鉴定云南铁杉华铁杉