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2D reduced graphene oxide-titania nanocomposites synthesized under different hydrothermal conditions for treatment of hazardous organic pollutants

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Particuology 2018年第1期16卷 165-173页

作者： Migyeong Kim Won-Hwa Hong woong Kim Sung Hyuk Park Wan-Kuen Jo Department of Environmental Engineering Kyungpook National University Daegu 702-701 Republic of Korea School of Architecture Kyungpook National University Daegu 702-701 Republic of Korea Department of Materials Science and Metallurgical Engineering Kyungpook National University Daegu 702-701 Republic of Korea

Two-dimensional reduced graphene oxide-titania （RGO-TiO2） composites were prepared using a single- step hydrothermal method under various hydrothermal reaction conditions. The morphological and surface characteristics of the RGO-TiO2 composites and reference materials were determined. The RGO-TiO2 composites showed photocatalytic activity for the decomposition of two target pollutants that was superior to both pure TiO2 and RGO under fluorescent daylight lamp illumination. The photo- catalytic activity of the RGO-TiO2 composite increased as the hydrothermal treatment time increased from 1 to 24 h, but then it decreased as the time increased to 36 h, which indicated the presence of an optimal treatment time. RGO-TiO2 composites activated by violet light-emitting diodes （LEDs） displayed lower decomposition efficiency than those activated by a daylight lamp, likely because of the lower light intensity of violet LEDs （0.2 mW/cm2） when compared with that of the daylight lamp （1.4mW/cm2）. However, the photocatalytic decomposition of the target pollutants using the RGO-TiO2 composite was more energy-efficient using the violet LEDs. The photocatalytic reaction rates increased as the residence time decreased, whereas the reverse was true for the decomposition efficiency.

关键词： TiO2 composite Continuous-flow mode Hydrothermal time VioletLight emitting diode

Optimized Load Balancing Technique for Software Defined Network

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Computers, Materials & Continua 2022年第7期72卷 1409-1426页

作者： Aashish Kumar Darpan Anand Sudan Jha Gyanendra Prasad Joshi woong Cho Department of Computer Science and Engineering Chandigarh UniversityMohaliPunjab140413India School of Computational Sciences CHRIST(Deemed to be University)Ghaziabad201003India Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Automotive ICT Convergence Engineering Daegu Catholic UniversityGyeongsan38430Korea

Software-defined networking is one of the progressive and prominent innovations in Information and Communications *** mitigates the issues that our conventional network was ***,traffic data generated by various applications is increasing day by *** addition,as an organization’s digital transformation is accelerated,the amount of information to be processed inside the organization has increased *** might be possible that a Software-Defined Network becomes a bottleneck and *** models have been proposed in the literature to balance the ***,most of the works consider only limited parameters and do not consider controller and transmission media *** loads also contribute to decreasing the performance of Software-Defined *** work illustrates how a software-defined network can tackle the load at its software layer and give excellent results to distribute the *** proposed a deep learning-dependent convolutional neural networkbased load balancing technique to handle a software-defined network *** simulation results show that the proposed model requires fewer resources as compared to existing machine learning-based load balancing techniques.

关键词： SDN software-defined networks load balancing performance enhancement

Aqueous levels of erythropoietin in acute retinal vein occlusion with macular edema

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International Journal of Ophthalmology(English edition) 2014年第3期7卷 501-506页

作者： Hyun Jin Shin Hyung Chan Kim Jun woong Moon Department of Ophthalmology Konkuk University Medical Center Konkuk University School of Medicine Gongdeok Seoul Eye Clinic

AIM:To investigate the aqueous erythropoietin(EPO)levels and associated factors in patients with acute retinal vein occlusion(RVO).METHODS:The aqueous EPO level was measured in patients with macular edema(ME)secondary to acute branched retinal vein occlusion(BRVO)or central retinal vein occlusion(CRVO).Aqueous fluid from cataract patients served as the *** also evaluated whether aqueous level of EPO was associated with factors such as serum EPO level,non-perfusion area,central macular thickness(CMT),and arterio-venous(AV)transit timeRESULTS:Twenty-seven RVO patients(16 BRVO,11CRVO)and 9 control subjects were enrolled in the *** aqueous EPO level(mU/mL)was higher in RVO(68.2±54.3)than that in the control subjects(12.9±5.9).More specifically,the aqueous EPO level was higher in CRVO(118.9±52.1)than that in BRVO(33.3±10.8).However,no differences were found in serum EPO levels among three *** in RVO patients had a positive correlation with the aqueous EPO level(r=0.66).Also,in terms of non-perfusion area,the aqueous EPO levels were more elevated in the ischemic subgroup than in the non-ischemic subgroup in both BRVO and ***:Aqueous EPO levels are elevated in patients with macular edema secondary to recent onset *** with CRVO have higher EPO levels than those with *** aqueous EPO level in RVO has a positive correlation with CMT and is associated with non-perfusion *** results suggest that the aqueous EPO level could be associated with retinal ischemia and may be involved in the pathogenesis of macular edema secondary to RVO.

关键词： aqueous level of erythropoietin acute retinal vein occlusion retinal ischemia macular edema

Network Traffic Obfuscation System for IIoT-Cloud Control Systems

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Computers, Materials & Continua 2022年第9期72卷 4911-4929页

作者： Yangjae Lee Sung Hoon Baek Jung Taek Seo Ki-woong Park SysCore Lab. Sejong UniversitySeoul05006Korea Department of Computer System Engineering Jungwon UniversityChungcheongbuk-do28024Korea Department of Computer Engineering Gachon UniversityGyeonggi-do13120Korea

One of the latest technologies enabling remote control,operational efficiency upgrades,and real-time big-data monitoring in an industrial control system(ICS)is the IIoT-Cloud ICS,which integrates the Industrial Internet of Things(IIoT)and the cloud into the *** an ICS benefits from the application of IIoT and the cloud in terms of cost reduction,efficiency improvement,and real-time monitoring,the application of this technology to an ICS poses an unprecedented security risk by exposing its terminal devices to the outside *** adversary can collect information regarding senders,recipients,and prime-time slots through traffic analysis and use it as a linchpin for the next attack,posing a potential threat to the *** address this problem,we designed a network traffic obfuscation system(NTOS)for the IIoT-Cloud ICS,based on the requirements derived from the ICS characteristics and limitations of existing NTOS *** a strategy to solve this problem wherein a decrease in the traffic volume facilitates traffic analysis or reduces the packet transmission speed,we proposed an NTOS based on packet scrambling,wherein a packet is split into multiple pieces before transmission,thus obfuscating network *** minimize the ICS modification and downtime,the proposed NTOS was designed using an agentbased *** addition,for the ICS network traffic analyzer to operate normally in an environment wherein the NTOS is applied,a rule-based NTOS was adopted such that the actual traffic flow is known only to the device that is aware of the rule and is blocked for *** experimental results verified that the same time requested for response and level of difficulty of analysis were maintained by the application of an NTOS based on packet scrambling,even when the number of requests received by the server per second was *** network traffic analyzer of the ICS can capture the packet flow by using the pre-communicated NTOS *** addition,by designing an N

关键词： Cloud computing system moving-target defense container orchestration

Discovery of Pb-free hybrid organic-inorganic 2D perovskites using a stepwise optimization strategy

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npj Computational Materials 2022年第1期8卷 776-787页

作者： Byung Do Lee Jin-woong Lee Minseuk Kim Woon Bae Park Kee-Sun Sohn Department of Nanotechnology and Advanced Materials Engineering Sejong University209 Neungdong-roGwangjin-guSeoul143-747South Korea Department of Advanced Components and Materials Engineering Sunchon National UniversityChonnam57922Republic of Korea

The current status of 2D organic–inorganic hybrid perovskites for use in photovoltaic(PV)and light-emitting diode(LED)applications lags far behind their 3D ***,we propose a computational strategy for discovering novel perovskites with as few computing resources as possible.A tandem optimization algorithm consisting of an elitism-reinforced nondominated sorting genetic algorithm(NSGA-II)and a multiobjective Bayesian optimization(MOBO)algorithm was used for density functional theory(DFT)*** DFT-calculated band gap and effective mass were taken as objective functions to be optimized,and the constituent molecules and elements of a Ruddlesden–Popper(RP)structure(n=2)were taken as decision *** previously unknown RP perovskite candidates for PV and LED applications were discovered as a result of the NSGA-II/MOBO ***,more accurate DFT calculations based on the HSE06 exchange correlation functional and ab initio molecular dynamics(AIMD)were conducted for the discovered 2D perovskites to ensure their validity.

关键词： sorting optimization perovskite

Improving the electrochemical stability of AZ31 Mg alloy in a 3.5wt.%NaCl solution via the surface functionalization of plasma electrolytic oxidation coating

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Journal of Magnesium and Alloys 2022年第5期10卷 1311-1325页

作者： Mosab Kaseem Tehseen Zehra Burak Dikici Ali Dafali Hae woong Yang Young Gun Ko Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Metallurgical and Materials Engineering Ataturk UniversityErzurum 25240Turkey Faculty of Sciences Oujda Department of ChemistryMohamed the First UniversityOujdaMorocco Pohang Institute of Metal Industry Advancement Pohang 37666Republic of Korea Materials Electrochemistry Group School of Materials Science and EngineeringYeungnam UniversityGyeongsan 38541Republic of Korea

The unique interactions between hexadecanoic acid(HA)and albumin(ALB)molecules on the surface of the porous layer of AZ31 Mg alloy were exploited to fabricate a novel hybrid composite film with excellent electrochemical stability in a 3.5 wt.%Na Cl ***,the inorganic layer(IL)obtained by plasma electrolytic oxidation of AZ31 Mg alloy in an alkaline-phosphate-WO_(3)electrolyte was soaked in an organic solution composed of ALB and HA for 10 and 24 h at 60℃.Although albumin and HA may coexist on the same surface of IL,the higher reactivity of ALB molecules would prevent the formation of a thick layer of *** donor-acceptor complexes formed due to the unique interactions between ALB and/or HA and IL surface would reduce the area exposed to the corrosive species which in turn would efficiently protect the substrate from *** porous structure of the IL would provide preferable sites for the physical and chemical locking triggered by charge-transfer phenomena,leading to the inhomogeneous nucleation and crystal growth of a flowery flakes-like organic *** calculations were performed to reveal the primary bonding modes between the ALB,HA,and IL and to assess the mechanistic insights into the formation of such novel hybrid composites.

关键词： Hybrid composite Coordination bond Albumin Fatty acid Porous layer Corrosion Theoretical approach

Research trends of microplastics in the soil environment: Comprehensive screening of effects

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Soil Ecology Letters 2022年第2期4卷 109-118页

作者： Shin woong Kim Matthias C.Rillig Institute of Biology Freie Universität Berlin14195 BerlinGermany Berlin-Brandenburg Institute of Advanced Biodiversity Research 14195 BerlinGermany Konkuk University 120 Neungdong-roGwangjin-guSeoul 05029Korea

We collated and synthesized previous studies that reported the impacts of microplastics on soil *** data were classified and integrated to screen for the proportion of significant effects,then we suggest several directions to alleviate the current data limitation in future *** compiled 106 datasets capturing significant effects,which were analyzed in *** found that polyethylene and pellets(or powders)were the most frequently used microplastic composition and shape for soil *** significant effects mainly occurred in broad size ranges(0.1–1 mm)at test concentrations of 0.1%–10%based on soil dry *** chloride and film induced significant effects at lower concentrations compared to other compositions and shapes,*** adopted a species sensitivity distribution(SSD)and soil property effect distribution(SPED)method using available data from soil biota,and for soil properties and enzymes deemed relevant for microplastic *** predicted-no-effect-concentration(PNEC)-like values needed to protect 95%of soil biota and soil properties was estimated to be between 520 and 655 mg kg^(-1).This study was the first to screen microplastic levels with a view toward protecting the soil *** results should be regularly updated(e.g.,quarterly)with additional data as they become available.

关键词： Significant effect Species sensitivity distribution Soil Soil properties

Impact of old age on clinical and angiographic characteristics of coronary artery spasm as assessed by acetylcholine provocation test

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Journal of Geriatric Cardiology 2016年第10期13卷 824-829页

作者： woong Gil Choi Soo Hyun Kim Seung-Woon Rha Kang-Yin CHEN Yong-Jian LI Byoung Geol Choi Se Yeon Choi Jin Won Kim Eung Ju Kim Chang Gyu Park Hong Seog Seo Dong Joo oh Department of Internal Medicine School of Medicine Kunkuk University Chungbuk South Korea Cardiovascular Center Korea University Guro Hospital Seoul South Korea Department of Cardiology the Second Hospital of Tianjin Medical University Tianjin China Department of Cardiology Nankai Hospital Tianjin Medical University Tianjin China

Background Smoking and other risk factors have been well known as important factors of variant angina or coronary artery spasm （CAS）. However, clinical features related to age on coronary artery spasm have been rarely evaluated. Methods We evaluated 3155 consecutive patients with insignificant coronary artery lesion. Patients underwent Acetylcholine （Ach） provocation test for induction of CAS. CAS was defined as 〉 70% luminal narrowing of coronary arteries during Ach provocation test. The results of Ach provocation test were compared among age groups; 〈 45 years （Group 1）, 45-54 years （Group 2）, 55-64 years （Group 3）, and 〉_ 65 years （Group 4）. Results Older patients had higher incidence of hypertension, diabetes, but lower incidence rate of current smoking, male sex compared with younger patients. Positive Ach provocation test finding was frequently showed with aging （47.36% vs. 58.3% vs. 62.6% vs. 61.5%; P 〈 0.001）. Multivariate logistic analysis showed that age, male, and myocardial bridge were independent predictors of CAS induced by Ach provocation test. Conclusion Our present study showed that old age was independent predictor for Ach-induced significant coronary artery spasm.

关键词： Acetylcholine Age factor Coronary vasospasm

Data Fusion-Based Machine Learning Architecture for Intrusion Detection

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Computers, Materials & Continua 2022年第2期70卷 3399-3413页

作者： Muhammad Adnan Khan Taher M.Ghazal Sang-woong Lee Abdur Rehman Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)43600BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan

In recent years,the infrastructure of Wireless Internet of Sensor Networks(WIoSNs)has been more complicated owing to developments in the internet and devices’*** effectively prepare,control,hold and optimize wireless sensor networks,a better assessment needs to be *** field of artificial intelligence has made a great deal of progress with deep learning systems and these techniques have been used for data *** study investigates the methodology of Real Time Sequential Deep Extreme LearningMachine(RTS-DELM)implemented to wireless Internet of Things(IoT)enabled sensor networks for the detection of any intrusion *** fusion is awell-knownmethodology that can be beneficial for the improvement of data accuracy,as well as for the maximizing of wireless sensor networks *** also suggested an approach that not only makes the casting of parallel data fusion network but also render their computations more *** using the Real Time Sequential Deep Extreme Learning Machine(RTSDELM)methodology,an excessive degree of reliability with a minimal error rate of any intrusion activity in wireless sensor networks is *** results show that wireless sensor networks are optimized effectively to monitor and detect any malicious or intrusion activity through this proposed ***,threats and a more general outlook are explored.

关键词： Wireless internet of sensor networks machine learning deep extreme learning machine artificial intelligence data fusion