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Application of an aerosol electrical mobility spectrum analyzer: Charged-particle polarity ratio measurement in the Antarctic and Arctic regions

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Journal of Environmental Sciences 2021年第7期33卷 81-89页

作者： Handol Lee Hyeok Chung Kang-Ho ahn Department of Environmental Engineering Inha University100 Inha-roMichuhol-guIncheon 22212South Korea Aerosol Research and Technology Plus(ART+) 195-62Daepyeong-roDaewol-myeonIcheonGyunggi-do 17343South Korea Department of Mechanical Engineering Hanyang UniversityERICA55 Hanyangdaehak-roSangnok-guAnsan 15588South Korea

An aerosol electrical mobility spectrum analyzer(AEMSA),developed at Hanyang University,was employed to investigate the particle charge characteristics in the Antarctic and Arctic *** particle charge characteristics in these areas were compared with the charging state in Ansan,South Korea,located in the midlatitude,where artificial factors,such as human activity,urbanization,and traffic,might result in a higher total ***,in Ansan,South Korea,the charged-particle polarity ratio was very stable and was close to ***,notably different particle charge characteristics were obtained in the Antarctic and Arctic *** imbalance between the numbers of positively and negatively charged particles was evident,resulting in more positive charges on the atmospheric *** average,the positively charged particle concentrations in the Antarctic and Arctic areas were 1.4 and 2.8 times higher,respectively,compared with the negatively charged *** developed AEMSA system and the findings of this study provide useful information on the characteristics of atmospheric aerosols in the Antarctic and Arctic regions and can be further utilized to study particle formation mechanisms.

关键词： Aerosol electrical mobility spectrum analyzer Antarctic Arctic Charged-particle polarity ratio

Formal Approach to Workow Application Fragmentations Over Cloud Deployment Models

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Computers, Materials & Continua 2021年第6期67卷 3071-3088页

作者： Hyun ahn Kwanghoon Pio Kim Division of Computer Science and Engineering Gyeonggi16227Korea

Workow management technologies have been dramatically improving their deployment architectures and systems along with the evolution and proliferation of cloud distributed computing ***,such cloud computing environments ought to be providing a suitable distributed computing paradigm to deploy very large-scale workow processes and applications with scalable on-demand *** this paper,we focus on the distribution paradigm and its deployment formalism for such very large-scale workow applications being deployed and enacted across the multiple and heterogeneous cloud computing *** propose a formal approach to vertically as well as horizontally fragment very large-scale workow processes and their applications and to deploy the workow process and application fragments over three types of cloud deployment models and *** concretize the formal approach,we rstly devise a series of operational situations fragmenting into cloud workow process and application components and deploying onto three different types of cloud deployment models and *** concrete approaches are called the deployment-driven fragmentation mechanism to be applied to such very large-scale workow process and applications as an implementing component for cloud workow management ***,we strongly believe that our approach with the fragmentation formalisms becomes a theoretical basis of designing and implementing very large-scale and maximally distributed workow processes and applications to be deployed on cloud deployment models and architectural computing environments as well.

关键词： Cloud workows cloud deployment model workow application fragmentations information control net

Faster Metallic Surface Defect Detection Using Deep Learning with Channel Shuffling

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Computers, Materials & Continua 2023年第4期75卷 1847-1861页

作者： Siddiqui Muhammad Yasir Hyunsik ahn Department of Robot System Engineering Tongmyong UniversityBusan48520Korea School of Artificial Intelligence Tongmyong UniversityBusan48520Korea

Deep learning has been constantly improving in recent years,and a significant number of researchers have devoted themselves to the research of defect detection *** and recognition of small and complex targets is still a problem that needs to be *** authors of this research would like to present an improved defect detection model for detecting small and complex defect targets in steel *** steel strip production,mechanical forces and environmental factors cause surface defects of the steel ***,the detection of such defects is key to the production of high-quality ***,surface defects of the steel strip cause great economic losses to the high-tech *** far,few studies have explored methods of identifying the defects,and most of the currently available algorithms are not sufficiently ***,this study presents an improved real-time metallic surface defect detection model based on You Only Look Once(YOLOv5)specially designed for small *** the smaller features of the target,the conventional part is replaced with a depthwise convolution and channel shuffle *** assigning weights to Feature Pyramid Networks(FPN)output features and fusing them,increases feature propagation and the network’s characterization *** experimental results reveal that the improved proposed model outperforms other comparable models in terms of accuracy and detection *** precision of the proposed model achieved by mAP@0.5 is 77.5%on the Northeastern University,Dataset(NEU-DET)and 70.18%on the GC10-DET datasets.

关键词： Defect detection deep learning convolution neural network object detection YOLOv5 shuffleNetv2

An efcient GP approach to recognizing cognitive tasks from fNIRS neural signals

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Science China(Information Sciences) 2013年第10期56卷 277-283页

作者： AN Jinungn LEE JongHyun ahn ChangWook Robotics Research Division Daegu Gyeongbuk Institute of Science & Technology Department of Computer Engineering Sungkyunkwan University

This paper presents a new genetic programming(GP)approach to accurately classifying cognitive tasks from non-stationary and noisy fNIRS neural *** this end,a new GP that efectively handles multiclass problems is *** accordance with multi-tree structure,GP operators are innovated:crossover exchanges every subtree of parents without sufering from any incongruity problem and mutation fne-tunes candidate solutions by a less destructive *** results verifes the efectiveness of the proposed GP classifer over existing references.

关键词： classifcation cognitive task genetic programming fNIRS multi-tree representation

On-chip physiological mimicry of neurovascular unit: challenges and perspectives

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Neural Regeneration Research 2024年第3期19卷 499-500页

作者： Song Ih ahn YongTae Kim School of Mechanical Engineering Pusan National UniversityBusanSouth Korea George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGAUSA Parker H.Petit Institute for Bioengineering and Bioscience Georgia Institute of TechnologyAtlantaGAUSA Wallace H.Coulter Department of Biomedical Engineering Georgia Institute of TechnologyAtlantaGAUSA Institute for Electronics and Nanotechnology Georgia Institute of TechnologyAtlantaGAUSA

Neurological disorders including neurodegenerative diseases,brain tumors,and stroke are the second leading cause of death and the greatest cause of disability ***,it remains challenging to achieve effective drug delivery to the central nervous system for treatments of neurological diseases due to the blood-brain barrier(BBB).The function of the BBB is regulated by the physiological interactions between various types of cells in the neurovascular unit(NVU).In the NVU,the brain vasculature of the BBB is surrounded by brain pericytes,brain astrocytes,neurons,and microglia(Figure 1).Moreover,the NVU at the levels of arteries and veins includes contractile smooth muscle cells(Schaeffer and Iadecola,2021).

关键词： diseases death arteries

The Minimal Free Resolution of a Fat Star-Configuration in Pn

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Algebra Colloquium 2014年第1期21卷 157-166页

作者： Jeaman ahn Yong Su Shin Department of Mathematics Education Kongju National University 182 Shinkwan-dong Kongju Chungnam 314-701 Korea Department of Mathematics Sungshin Women's University Seoul 136-742 Korea

Abstract. We find the minimal free resolution of a fat star-configuration X in Pn of type （r, s,t） defined by general forms of degrees d1,...,dr, and show that a fat linear star- configuration X in P2 never has generic Hilbert function if （s,t） ≠ （1, 1） or （2, 2）. These two results generalize the interesting results of [2].

关键词： Hilbert functions minimal free resolutions weak Lefschetz property fat star-configurations

Stabilization of linear systems with distributed input delay using reduction transformation

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Chinese Science Bulletin 2011年第13期56卷 1413-1416页

作者： CHOON Ki ahn Faculty of the Department of Automotive Engineering Seoul National Universty of Science and Technology

We propose a new stabilization method for linear systems with distributed input delay via reduction transformation and Riccati equation *** the presented stabilization scheme,the gain matrix of controller is constructed by the well-known linear control technique for delay-free *** transformation kernel matrix can be determined by solving the non-symmetric matrix Riccati equation backward with the boundary *** point delay systems are considered,it will be shown that the proposed control law degenerates to the standard one for input delay systems.

关键词：延迟系统线性系统分布式输入稳定 Riccati方程非线性控制技术矩阵构造

Protein structural classification and family identification by multifractal analysis and wavelet spectrum

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Chinese Physics B 2011年第1期20卷 194-208页

作者：朱少茗喻祖国 ahn Vo School of Mathematical Sciences Queensland University of Technology School of Mathematics and Computational Science Xiangtan University

Family identification is helpful for predicting protein functions. It has been known from the literature that longer sequences of base pairs or amino acids are required to study patterns in biological sequences. Since most protein sequences are relatively short, we randomly concatenate or link the protein sequences from the same family or superfamily together to form longer protein sequences. The 6-letter model, 12-letter model, 20-letter model, the revised Schneider and Wrede scale hydrophobicity, solvent accessibility and stochastic standard state accessibility are used to convert linked protein sequences into numerical sequences. Then multifractal analyses and wavelet analysis are performed on these numerical sequences. The parameters from these analyses can be used to construct parameter spaces where each linked protein is represented by a point. The four classes of proteins, namely the α/β, α＋β and α/β classes, are then distinguished in these parameter spaces. The Fisher linear discriminant algorithm is used to assess the discriminant accuracy. Numerical results indicate that the discriminant accuracies are satisfactory in separating these classes. We find that the linked proteins from the same family or superfamily tend to group together and can be separated from other linked proteins. The methods are helpful for identifying the family of an unknown protein.

关键词： protein family multifractal analysis wavelet spectrum

Adaptive H∞ Chaos Anti-synchronization

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Chinese Physics Letters 2010年第3期27卷 64-67页

作者： Choon Ki ahn Faculty of the Division of Electronics and Control Engineering Wonkwang University 344-2 Shinyong-dong Iksan 570-749 Korea

A new adaptive H∞ anti-synchronization （AHAS） method is proposed for chaotic systems in the presence of unknown parameters and external disturbances. Based on the Lyapunov theory and linear matrix inequality formulation, the AHAS controller with adaptive laws of unknown parameters is derived to not only guarantee adaptive anti-synchronization but also reduce the effect of external disturbances to an H∞ norm constraint. As an application of the proposed AHAS method, the H∞anti-synchronization problem for Genesio-Tesi chaotic systems is investigated.

关键词： Synchronization Methods Adaptation Adaptability