• International Journal of Control, Automation, and Systems
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• 제2권1호
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• pp.15-22
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• 2004

Some recent advances in stability and optimality for the nonlinear receding horizon control (NRHC) or the nonlinear model predictive control (NMPC) are assessed. The NRHCs with terminal conditions are surveyed in terms of a terminal state equality constraint, a terminal cost, and a terminal constraint set. Other NRHCs without terminal conditions are surveyed in terms of a control Lyapunov function (CLF) and cost monotonicity. Additional approaches such as output feedback, fuzzy, and neural network are introduced. This paper excludes the results for linear receding horizon controls and concentrates only on the analytical results of NRHCs, not including applications of NRHCs. Stability and optimality are focused on rather than robustness.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2005년도 한국우주과학회보 제14권2호
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• pp.41-41
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• 2005

• 천문학회보
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• 제30권2호
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• pp.52.2-52.2
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• 2005

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.445-448
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• 2007

Korea Peninsula is exposed to landslide problems because large regions of Korea are composed of mountain. As a result, we have a great loss of life and property every year, such as road, bridge, and building. However, conventional survey has many restrictions of time and man power. In recent days, instead of field surveying, remote sensing has our attention for detecting damaged place. Synthetic Aperture Radar (SAR) provides the all-weather capability and complements information available. And through the 2-pass DInSAR technique, we can measure even very small displacement effect. In this study, we generated six interferograms of Kangwondo between 1992 and 1998, and estimated the vulnerable place for landslide.

• Mycobiology
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• 제49권4호
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• pp.363-375
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• 2021

Penicillium species are known to be ubiquitous environmental saprophytes. In the survey of diversity of genus Penicillium, seven new records of Penicillium species belonging to section Lanata-Divaricata were isolated from freshwater and soil samples collected from different locations in Korea. Based on morphological characteristics and multilocus phylogenetic analysis of the rDNA internal transcribed spacer region (ITS), β-tubulin (BenA), and calmodulin (CaM) genes, the isolated strains were identified as P. annulatum, P. camponotum, P. echinulonalgiovense, P. globosum, P. limosum, P. onobense, and P. yunnanense, respectively. This study presents detailed phylogenetic analyses and morphological descriptions of these species that contribute to section Lanata-Divaricata in Korea.

• 한국균학회지
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• 제49권3호
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• pp.259-283
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• 2021

We isolated nine fungal strains from different environmental materials collected from different locations during a survey of fungal diversity in Korea. Using molecular phylogenetic analyses and morphological characteristics, nine previously undescribed strains were identified and assigned to the species Collariella robusta, Fusicolla acetilerea, Hongkongmyces pedis, Hongkongmyces snookiorum, Mariannaea fusiformis, Metarhizium pemphigi, Pallidocercospora crystallina, Scopulariopsis candida, and Volutella citrinella. Diverse environmental samples may thus be a promising source for isolating and investigating novel fungal species, thus sampling efforts should be increased in future studies. This study also reports identification of some rare fungal species belonging to the genera Hongkongmyces and Pallidocercospora from Korea.

• Mycobiology
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• 제49권2호
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• pp.105-121
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• 2021

Six interesting fungal strains were isolated during a survey of fungal diversity associated with freshwater; these strains were designated as CNUFC YJW2-22, CNUFC MSW11-6-2, CNUFC HRS5-3, CNUFC MSW242-6, CNUFC DMW2-2, and CNUFC CPWS-1. Based on a polyphasic approach including phylogenetic analyses of internal transcribed space (ITS), large subunit (LSU), beta-tubulin (BenA), and calmodulin (CaM) gene sequences, morphological analyses, the six strains were found to be identical to Acremonium guillematii, Cadophora novi-eboraci, Lectera nordwiniana, Mycoarthris corallina, Talaromyces siamensis, and Tetracladium globosum, respectively. To our knowledge, these are the first records of the rare Lectera, Mycoarthris, and Tetracladium genera in Korea, and the first reports of A. guillematii, C. novi-eboraci, L. nordwiniana, M. corallina, T. siamensis, and Te. globosum in a freshwater environment.

• 수산해양기술연구
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• 제57권4호
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• pp.302-315
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• 2021

In this study, factors such as improvement of a fishing process and safety, reduction of the labor force and headcount and development of the automation technology for offshore (eel and crab) pot fishing vessels were analyzed. A questionnaire survey was conducted to analyze and select the key factors using independent/paired sample t-test and correlation analysis, and a living lab was operated with ship owners, skippers and experts to discuss practical needs of the site. From the result of questionnaire survey and field requirements, it was possible to understand the level of awareness of ship safety, general safety equipment, fishing work process and fishing safety equipment from the point of view of the field. In addition, there were differences in the measurement results of each items because the working environment and experience were different according to the position of the ship owner and the skipper. The results of the questionnaire survey and various perceptions of field stakeholders were reflected when analyzing the fishing system and fishing process to choose the development equipment applicable to the field. From the analysis results, the selected development equipment based on the fishing equipment and process currently in operation are pot washing device, catch separation and fish hold injection device, length limit regulations and bait ejection device after use, automatic main line winding device, bait crusher, automatic (crab) pot hauling separator and so on.

• Journal of Forest and Environmental Science
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• 제35권4호
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• pp.268-271
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• 2019

Mushroom survey and collection were conducted in the Phousabous National Protected Area (PNPA), which is located at the Northeastern area 230km from the capital city of Lao-PDR, Vientiane, from April 2017 to September 2018. During this periods, mushroom specimens were collected from 8 different locations, and then they were identified and classified into 284 species, 142 genera, 56 families, 20 orders and 7 classes by morphological and molecular analyses. The mushrooms belongs to Ascomycota were classified into 10 species, 5 genera, 5 families, 4 orders and 3 classes, while those belongs to Basidiomycota were classified into 274 species, 137 genera, 51 families, 16 orders, and 4 classes, respectively. Among these mushrooms, the most species-rich families are Boletaceae (16.06%), Polyporaceae (10.12%), Russulaceae (9.94%), Amanitaceae (7.68%), Agaricaceae (4.54%), Marasmiaceae (4.36%), Cortinariaceae (3.66%), Entolomataceae (3.66%), Mycenaceae (2.79%), Xylariaceae (2.44%), Physalacriaceae (2.09%), Omphalotaceae (2.09%), Hydnangitaceae (2.09%), Lyophyllaceae (1.92%), Tricholomataceae (1.75%) and comprised 75.19% of the total specimens identified.

• 한국멀티미디어학회논문지
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• 제25권3호
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• pp.510-518
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• 2022

This paper confirmed the technical reliability of mobile-based sarcopenia prediction and monitoring system. In implementing the developed system, we designed using only sensors built into a smartphone without a separate external device. The prediction system predicts the possibility of sarcopenia without visiting a hospital by performing the SARC-F survey, the 5-time chair stand test, and the rapid tapping test. The Monitoring system tracks and analyzes the average walking speed in daily life to quickly detect the risk of sarcopenia. Through this, it is possible to rapid detection of undiagnosed risk of undiagnosed sarcopenia and initiate appropriate medical treatment. Through prediction and monitoring system, the user may predict and manage sarcopenia, and the developed system can have a positive effect on reducing medical demand and reducing medical costs. In addition, collected data is useful for the patient-doctor communication. Furthermore, the collected data can be used for learning data of artificial intelligence, contributing to medical artificial intelligence and e-health industry.