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Adaptive Controller Design for Dynamic Maneuvers of High Speed Underwater Vehicles

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China Ocean Engineering 2022年第2期36卷 311-321页

作者： Bui Duc Hong PHUC Sam-sang YOU Phuc Thinh DOAN sang-Do lee Department of Mechanical Engineering The University of TulsaTulsaOK 74104USA Division of Mechanical Engineering Korea Maritime and Ocean UniversityBusan 49112Republic of Korea Institute of Interdisciplinary Social Sciences Nguyen Tat Thanh UniversityHo Chi Minh CityVietnam Division of Navigation and Information System Mokpo National Maritime UniversityMokpoJeollanam-do 58628Republic of Korea

The control synthesis of the high-speed underwater vehicle faces many technical challenges due to its inherent structure and surrounding operational *** this paper,the dynamical behavior is firstly described through a bifurcation analysis to give some insights for robust control *** a novel adaptive fractional-order sliding mode controller(AFOSMC)is realized to effectively manipulate the supercavitating vehicle against payload changes,nonlinear planing force,and external *** fractional order(FO)calculus can offer more flexibility and more freedom for tuning active control synthesis than the integer-order *** addition,the adaptation law has been presented to directly handle the payload change *** stability of the controlled vehicle system is proven via Lyapunov stability ***,the dynamic performance of the proposed controller is verified through extensive simulation results,which demonstrate the control accuracy with faster responses compared with existing integer-order ***,the proposed fractional order controllers can provide higher performance than their integer order counterparts with control algorithms.

关键词： fractional order calculus supercavitating underwater vehicles planing force payload change adaptive sliding mode control

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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

Elucidating Ion Transport Phenomena in Sulfide/Polymer Composite Electrolytes for Practical Solid-State Batteries

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Nano-Micro Letters 2023年第10期15卷 416-432页

作者： Kyeong‑Seok Oh Ji Eun lee Yong‑Hyeok lee Yi‑Su Jeong Imanuel Kristanto Hong‑Seok Min sang‑Mo Kim Young Jun Hong sang Kyu Kwak sang‑Young lee Department of Chemical and Biomolecular Engineering Yonsei University50 Yonsei‑roSeodaemun‑guSeoul 03722Republic of Korea Department of Chemical and Biological Engineering Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology(UNIST)50 UNIST‑gilEonyang‑eupUlju‑gunUlsan 44919Republic of Korea Hyundai Motor Company 150Hyundaiyeonguso‑roNamyang‑eupHwaseong‑siGyeonggi‑do 18280Republic of Korea

Despite the enormous interest in inorganic/polymer composite solid-state electrolytes(CSEs)for solid-state batteries(SSBs),the underlying ion transport phenomena in CSEs have not yet been ***,we address this issue by formulating a mechanistic understanding of bi-percolating ion channels formation and ion conduction across inorganic-polymer electrolyte interfaces in CSEs.A model CSE is composed of argyrodite-type Li_6PS_5Cl(LPSCl)and gel polymer electrolyte(GPE,including Li~+-glyme complex as an ion-conducting medium).The percolation threshold of the LPSCl phase in the CSE strongly depends on the elasticity of the GPE ***,manipulating the solvation/desolvation behavior of the Li~+-glyme complex in the GPE facilitates ion conduction across the LPSCl-GPE *** resulting scalable CSE(area=8×6(cm×cm),thickness~40μm)can be assembled with a high-mass-loading LiNi_(0.7)Co_(0.15)Mn_(0.15)O_(2)cathode(areal-mass-loading=39 mg cm~(-2))and a graphite anode(negative(N)/positive(P)capacity ratio=1.1)in order to fabricate an SSB full cell with bi-cell *** this constrained cell condition,the SSB full cell exhibits high volumetric energy density(480 Wh L_(cell)~(-1))and stable cyclability at 25℃,far exceeding the values reported by previous CSE-based SSBs.

关键词： Solid-state batteries Composite solid-state electrolytes Ion transport phenomena Bi-percolating ion channels Interfacial resistance

A Study on Small Pest Detection Based on a CascadeR-CNN-Swin Model

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Computers, Materials & Continua 2022年第9期72卷 6155-6165页

作者： Man-Ting Li sang-Hyun lee Department of Computer Engineering Honam UniversityGwangsanguGwangju62399Korea

This study aims to detect and prevent greening disease in citrus trees using a deep neural *** process of collecting data on citrus greening disease is very difficult because the vector pests are too *** this paper,since the amount of data collected for deep learning is insufficient,we intend to use the efficient feature extraction function of the neural network based on the Transformer *** want to use the Cascade Region-based Convolutional Neural Networks(Cascade R-CNN)Swin model,which is a mixture of the transformer model and Cascade R-CNN model to detect greening disease occurring in *** this paper,we try to improve model safety by establishing a linear relationship between samples using Mixup and Cutmix algorithms,which are image processing-based data augmentation *** addition,by using the ImageNet dataset,transfer learning,and stochastic weight averaging(SWA)methods,more accuracy can be *** study compared the Faster Region-based Convolutional Neural Networks Residual Network101(Faster R-CNN ResNet101)model,Cascade Regionbased Convolutional Neural Networks Residual Network101(Cascade RCNN-ResNet101)model,and Cascade R-CNN Swin *** a result,the Faster R-CNN ResNet101 model came out as Average Precision(AP)(Intersection over Union(IoU)=0.5):88.2%,AP(IoU=0.75):62.8%,Recall:68.2%,and the Cascade R-CNN ResNet101 model was AP(IoU=0.5):91.5%,AP(IoU=0.75):67.2%,Recall:73.1%.Alternatively,the Cascade R-CNN Swin Model showed AP(IoU=0.5):94.9%,AP(IoU=0.75):79.8%and Recall:76.5%.Thus,the Cascade R-CNN Swin Model showed the best results for detecting citrus greening disease.

关键词： Cascade R-CNN swin model cascade R-CNN resNet101 model faster R-CNN ResNet101 model mixup cutmix

A speech enhancement algorithm to reduce noise and compensate for partial masking effect

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Journal of Central South University 2011年第4期18卷 1121-1127页

作者： JEON Yu-yong lee sang-min Department of Electronic Engineering Inha University Institute for Information and Electronics Research Inha University

To enhance the speech quality that is degraded by environmental noise,an algorithm was proposed to reduce the noise and reinforce the *** minima controlled recursive averaging(MCRA) algorithm was used to estimate the noise spectrum and the partial masking effect which is one of the psychoacoustic properties was introduced to reinforce *** performance evaluation was performed by comparing the PESQ(perceptual evaluation of speech quality) and segSNR(segmental signal to noise ratio) by the proposed algorithm with the conventional *** a result,average PESQ by the proposed algorithm was higher than the average PESQ by the conventional noise reduction algorithm and segSNR was higher as much as 3.2 dB in average than that of the noise reduction algorithm.

关键词： speech enhancement noise reduction psychoacoustic property human hearing property

Deep Learning Approach for Cosmetic Product Detection and Classification

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Computers, Materials & Continua 2021年第10期69卷 713-725页

作者： Se-Won Kim sang-Woong lee Department of IT Convergence Engineering Gachon UniversitySeongnam13120Korea Department of Software Gachon UniversitySeongnam13120Korea

As the amount of online video content is increasing,consumers are becoming increasingly interested in various product names appearing in videos,particularly in cosmetic-product names in videos related to fashion,beauty,and ***,the identification of such products by using image recognition technology may aid in the identification of current commercial *** this paper,we propose a two-stage deep-learning detection and classification method for cosmetic ***,variants of the YOLO network are used for detection,where the bounding box for each given input product is predicted and subsequently cropped for *** use four state-of-the-art classification networks,namely ResNet,InceptionResNetV2,DenseNet,and EfficientNet,and compare their ***,we employ dilated convolution in these networks to obtain better feature representations and improve *** experiments demonstrate that YOLOv3 and its tiny version achieve higher speed and ***,the dilated networks marginally outperform the base models,or achieve similar performance in the worst *** conclude that the proposed method can effectively detect and classify cosmetic products.

关键词： Cosmetic product detection cosmetic product classification deep learning

Power interconnected system clustering with advanced fuzzy C-mean algorithm

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Journal of Central South University 2011年第1期18卷 190-195页

作者：王洪梅 KIM Jae-Hyung JUNG Dong-Yean lee sang-Min lee sang-Hyuk School of Mechatronics Changwon National University Daeho Tech Co.Ltd. Changwon 641-465Korea Department of Electronics Engineering Inha University

An advanced fuzzy C-mean （FCM） algorithm was proposed for the efficient regional clustering of multi-nodes interconnected systems. Due to various locational prices and regional coherencies for each node and point, modified similarity measure was considered to gather nodes having similar characteristics. The similarity measure was needed to contain locafi0nal prices as well as regional coherency. In order to consider the two properties simultaneously, distance measure of fuzzy C-mean algorithm had to be modified. Regional clustering algorithm for interconnected power systems was designed based on the modified fuzzy C-mean algorithm. The proposed algorithm produces proper classification for the interconnected power system and the results are demonstrated in the example of IEEE 39-bus interconnected electricity system.

关键词： fuzzy C-mean similarity measure distance measure interconnected system clustering

Estimation of Turbulent Sensible Heat and Momentum Fluxes over a Heterogeneous Urban Area Using a Large Aperture Scintillometer

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Advances in Atmospheric Sciences 2015年第8期32卷 1092-1105页

作者： sang-Hyun lee Jun-Ho lee Bo-Young KIM Department of Atmospheric Science Kongju National University Department of Optical Engineering Kongju National University

The accurate determination of surface-layer turbulent fluxes over urban areas is critical to understanding urban boundary layer （UBL） evolution. In this study, a remote-sensing technique using a large aperture scintillometer （LAS） was investigated to estimate surface-layer turbulent fluxes over a highly heterogeneous urban area. The LAS system, with an optical path length of 2.1 km, was deployed in an urban area characterized by a complicated land-use mix （residential houses, water body, bare ground, etc.）. The turbulent sensible heat （QH） and momentum fluxes （z） were estimated from the scintillation measurements obtained from the LAS system during the cold season. Three-dimensional LAS footprint modeling was introduced to identify the source areas （＂footprint＂） of the estimated turbulent fluxes. The analysis results showed that the LAS-derived turbulent fluxes for the highly heterogeneous urban area revealed reasonable temporal variation during daytime on clear days, in comparison to the land-surface process-resolving numerical modeling. A series of sensitivity tests indicated that the overall uncertainty in the LAS-derived daytime QH was within 20%-30% in terms of the influence of input parameters and the non- dimensional similarity function for the temperature structure function parameter, while the estimation errors in z were less sensitive to the factors of influence, except aerodynamic roughness length. The 3D LAS footprint modeling characterized the source areas of the LAS-derived turbulent fluxes in the heterogeneous urban area, revealing that the representative spatial scales of the LAS system deployed with the 2.1 km optical path distance ranged from 0.2 to 2 km2 （a ＂micro-a scale＂）, depending on local meteorological conditions.

关键词： heterogeneous surface large aperture scintillometer mesoscale modeling surface energy balance turbulentexchange

Dynamic genetic features of eukaryotic plankton diversity in the Nakdong River estuary of Korea

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Chinese Journal of Oceanology and Limnology 2017年第4期35卷 844-857页

作者： lee Jee Eun CHUNG Ik Kyo lee sang-Rae Division of Earth Environmental System Oceanography Major Pusan National University Marine Research Institute Pusan National University

Estuaries are environments where freshwater and seawater mix and they display various salinity *** construction of river barrages and dams has rapidly changed these environments and has had a wide range of impacts on plankton *** understand the dynamics of such communities,researchers need accurate and rapid techniques for detecting plankton *** evaluated the diversity of eukaryotic plankton over a salinity gradient by applying a metagenomics tool at the Nakdong River estuary in *** samples were collected on three dates during summer and autumn of 2011 at the Eulsukdo Bridge at the mouth of that *** the 18 S rDNA allowed us to analyze 456 clones and 122 *** sequences revealed various taxonomic groups and cryptic genetic variations at the intra-and inter-specific *** analyzing the same station at each sampling date,we observed that the phylotypes presented a salinity-related pattern of diversity in *** variety of species within freshwater samples reflected the rapid environmental changes caused by freshwater *** phylotypes accounted for the highest proportion of overall diversity in the seawater *** diatoms and dinoflagellates were observed in the freshwater,brackish and seawater *** biological data for species composition demonstrate the transitional state between freshwater and ***,this metagenomics information can serve as a biological indicator for tracking changes in aquatic environments.

关键词： 18S rDNA clone library metagenome estuary salinity gradient