• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.639-645
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• 2017

Application Specific Messages (ASM) have been introduced by a number of international bodies, such as the International Maritime Organization (IMO), the International Telecommunication Union (ITU) and the International Association of Lighthouse Authorities (IALA), for the purpose of resolving AIS overloading issues caused by an increasing number of ships using AIS systems. ASM communication will transmit a large amount of safety-related information at sea, including meteorological information, accident reporting, and navigational warnings. Specifically, this message transaction system is expected to be actively used for communication among ships and for ship-to-shore (4S), where VHF communication through voice was standard. In order to design a user-oriented service through standardised AIS-ASM messaging in the future, the need for analysis of this seems to be quite critical. In order to reflect users' AIS-ASM communication needs, therefore, frequently-occurring marine communication messages were analysed through a questionnaire survey conducted on 57 marine officers and 50 VTS operators. Based on the survey results, a list of key standardised messages was suggested as a reference for future AIS message development.

• Defense and Technology
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• no.4 s.158
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• pp.59-65
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• 1992

미국의 장갑무기체계 현대화(ASM)계획은 일련의 계열모듈을 사용하여 전차, 자주포, 보병전투기무기, 공병체계 및 유도무기 등을 모두 같지는 않더라도 유사한 차체 즉 공통자체(Common Chassis)위에 올려 체계를 구성할 것으로 보인다. 이 계획의 규모는 총 예산이 약 4조원(5백 50억불)에 이르며, 6천대의 ASM계열을 생산할 예정이다

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.253-256
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• 2011

본 논문은 기존의 디지털 설진 시스템이 아닌 임베디드 환경에서의 실시간 설진 진단 방법을 제안한다. 임의의 환경에서 얻어낸 이미지에서 혀 영역의 추출과 추출된 영역에서의 혀의 상태를 진단하는데는 많은 어려움이 있다. 다양한 조명환경에서의 영상으로부터 혀 영역을 추출해 내는 방법으로는 ASM을 이용하는 방법이 있는데 이는 검출률이 낮아 정확도가 떨어진다. 이를 보완하기 위해 본 논문에서는 ASM과 물체 외곽 정보 복원에 기반을 둔 컬러 분산 스테이크 기법을 사용하여 정확도를 개선하는 방법을 제안한다.

• KSCI Review
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• v.15 no.1
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• pp.179-183
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• 2007

다시점에서의 다중 객체 추적은 여러 분야에서 연구되고 있다. 다시점 영상 추적은 두 객체가 서로 근접하면 하나로 인식하는 문제점을 가지고 있다. 이러한 문제를 해결하기 위한 하나의 방법으로 능동형태모델(active shape mode: ASM)을 들 수 있다 ASM은 훈련집합을 이용하여 다른 객체에 가려진 목표 객체를 추적할 수 있다. 본 논문에서는 겹쳐진 객체를 추적하기 위해 ASM 기반의 다시점 추적 알고리듬(Multi-view tracking using ASM: MVTA)에 대해서 제안한다. 제안된 추적 방법은 (i) 영상 획득, (ii) 객체 추출, (iii) 객체 추적, 그리고 (iv) 현재 형태의 업데이트, 4가지 단계로 나눌 수 있다. 첫 번째 단계에서는 여러 대의 카메라를 사용해서 다시점 영상을 획득하며, 두 번째 단계에서는 객체를 배경으로부터 분리하며, 겹쳐진 객체로부터 목표 객체를 분리해낸다. 세 번째 단계에서는 추적을 위해 ASM을 사용하며, 마지막 단계인 네 번째 단계는 현재 입력 영상의 업데이트이다. 실험결과 제안한 MVTA는 겹쳐진 객체를 추적 시에 생기는 문제에 대해서 향상 된 결과를 보여준다.

• Journal of the Korea Computer Industry Society
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• v.6 no.3
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• pp.551-558
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• 2005

Although OMG gives a textual semantics for UML activity diagrams, some ambiguities can be caused due to the lack of rigorous semantics. That is to say it is difficult to present precise semantics which is taken as important in workflow system with the guide provided by OMG to the n activity diagram. In this paper, the alternative approach of using Abstract State Machine(ASM) to formalize UML activity diagrams is presented. It suggested that ASM semantics is extended corresponding the workflow system characteristics.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.56-58
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• 2022

'스마트 항로표지 현장시설 고도화 연구'를 통해 항로표지의 상태뿐만 아니라, 다양한 센서를 통해 해상정보를 수집하고, 이를 선박과 육상 연계시스템에 전파하는 방안이 논의되고 있다. 본 논문에서는 스마트 항로표지에서 신규 정보서비스를 제공하기 위해 AIS 서비스와 데이터 모델, AIS AtoN 기지국의 필수 기능, ASM 도입 절차 등을 검토하고, 스마트 항로표지 통합 플랫폼에 장착할 센서들의 정보를 선박에 제공하는 방안을 제시한다. 이미 선정된 센서들의 정보의 경우 국제적 ASM 31번 메시지로 정보 제공이 가능하며, 기존에 논의되지 않은 신규 센서의 활용이 결정되면, 지역 ASM 메시지를 새로 정의하여 정보를 제공할 수 있다.

• The Plant Pathology Journal
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• v.29 no.4
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• pp.418-426
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• 2013

Pseudomonas isolates from different crop plants were screened for in vitro growth inhibition of Phytophthora capsici and production of biosurfactant. Two in vivo experiments were performed to determine the efficacy of selected Pseudomonas strains against Phytophthora blight of pepper by comparing two fungicide treatments [acibenzolar-S-methyl (ASM) and ASM + mefenoxam]. Bacterial isolates were applied by soil drenching ($1{\times}10^9$ cells/ml), ASM ($0.1{\mu}g$ a.i./ml) and ASM + mefenoxam (0.2 mg product/ml) were applied by foliar spraying, and P. capsici inoculum was incorporated into the pot soil three days after treatments. In the first experiment, four Pseudomonas strains resulted in significant reduction from 48.4 to 61.3% in Phytophthora blight severity. In the second experiment, bacterial treatments combining with olive oil (5 mL per plant) significantly enhanced biological control activity, resulting in a reduction of disease level ranging from 56.8 to 81.1%. ASM + mefenoxam was the most effective treatment while ASM alone was less effective in both bioassays. These results indicate that our Pseudomonas fluorescens strains (6L10, 6ba6 and 3ss9) that have biosurfactant-producing abilities are effective against P. capsici on pepper, and enhanced disease suppression could be achieved when they were used in combination with olive oil.

• Journal of Korean Society on Water Environment
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• v.26 no.1
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• pp.96-103
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• 2010

In this work, the presence of nitrification biochemical oxygen demand (NBOD) frequently occurred in the sewer outflow in winter season was analysed by the COD fraction methods using the respirometry and process simulations with real operation data measurements and analysis. The activated sludge models applied in this process simulation were based on the ASM No.2d temp. models, published by International Association on Water Quality (IAWQ). The ASM No.2d model is an extension of the ASM No.2 model and takes into account of carbon removal, nitrification, denitrification and phosphorus removal. The denitrifying capacity of phosphorus accumulating organisms has been implemented in the ASM No.2d model because experimental evidence shows that some of the phosphorus accumulating organisms can denitrify. It was shown that the concentrations of autotrophs (X_AUT) in the secondary clarifier and the $NH_4-N$ of T-N increased in the presence of NBOD measurements. Because of the low temperature (average $8^{\circ}C$) and possible operational troubles, the outcoming autotrophs exhausted oxygen in the process of nitrifying $NH_4-N$.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1827-1835
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• 2010

In this paper, facial feature areas in user picture are created by facial feature points extracted by ASM(Active Shape Model). In a existing virtual make-up application, users manually select a few features that are exactly. Users are uncomfortable with this method. We propose a virtual makeup application using ASM that does not require user input. In order to express a natural makeup, the modified alpha blendings for each cosmetic are used to blend skin color with cosmetic color. The Virtual makeup application was implemented to apply Foundation, Blush, Lip Stick, Lip Liner, Eye Pencil, Eye Liner and Eye Shadow.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.2
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• pp.173-178
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• 2014

In this study, we introduce ASM-based face recognition classifier and its design methodology with the aid of 2-dimensional 2-directional hybird preprocessing algorithm. Since the image of face recognition is easily affected by external environments, ASM(active shape model) as image preprocessing algorithm is used to resolve such problem. In particular, ASM is used widely for the purpose of feature extraction for human face. After extracting face image area by using ASM, the dimensionality of the extracted face image data is reduced by using $(2D)^2$hybrid preprocessing algorithm based on LDA and PCA. Face image data through preprocessing algorithm is used as input data for the design of the proposed polynomials based radial basis function neural network. Unlike as the case in existing neural networks, the proposed pattern classifier has the characteristics of a robust neural network and it is also superior from the view point of predictive ability as well as ability to resolve the problem of multi-dimensionality. The essential design parameters (the number of row eigenvectors, column eigenvectors, and clusters, and fuzzification coefficient) of the classifier are optimized by means of ABC(artificial bee colony) algorithm. The performance of the proposed classifier is quantified through yale and AT&T dataset widely used in the face recognition.