• 대한안전경영과학회지
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• 제16권4호
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• pp.11-19
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• 2014

Modern systems development becomes more and more complicated due to the need on the ever-increasing capability of the systems. In addition to the complexity issue, safety concern is also increasing since the malfunctions of the systems under development may result in the accidents in both the test and evaluation phase and the operation phase. Those accidents can cause disastrous damages if explosiveness gets involved therein such as in weapon systems development. The subject of this paper is on how to incorporate safety requirements in the design of safety-critical systems. As an approach, a useful system structure using the method of design structure matrix (DSM) is studied while reflecting the need on systems safety. Specifically, the effects of system components failure are analyzed and numerically modeled first. Also, the system components are identified and their interfaces are represented using a component DSM. Combining the results of the failure analysis and the component DSM leads to a modified DSM. By rearranging the resultant DSM, a modular structure is derived with safety requirements incorporated. As a case study, application of the approach is also discussed in the development of a military UAV plane.

• 반도체디스플레이기술학회지
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• 제9권4호
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• pp.13-18
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• 2010

Extreme ultraviolet (EUV) lithography using 13.5 nm wavelengths is expected to be adopted as a mass production technology for 32 nm half pitch and below. One of the new issues introduced by EUV lithography is the shadowing effect. Mask shadowing is a unique phenomenon caused by using mirror-based mask with an oblique incident angle of light. This results in a horizontal-vertical (H-V) biasing effect and ellipticity in the contact hole pattern. To minimize the shadowing effect, a refilled mask is an available option. The concept of refilled mask structure can be implemented by partial etching into the multilayer and then refilling the trench with an absorber material. The simulations were carried out to confirm the possibility of application of refilled mask in 32 nm line-and-space pattern under the condition of preproduction tool. The effect of sidewall angle in refilled mask is evaluated on image contrast and critical dimension (CD) on the wafer. We also simulated the effect of refilled absorber thickness on aerial image, H-V CD bias, and overlapping process window. Finally, we concluded that the refilled absorber thickness for minimizing shadowing effect should be thinner than etched depth.

• 대한공간정보학회지
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• 제10권1호
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• pp.77-82
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• 2002

지형공간정보시스템(GSIS)을 지적 전산화작업에 적용하기 위해 지적정보를 수치 전산화하여 토지대장의 On-Line시스템화에 운용할 수 있도록 시도하는데 의의가 있다. 그리고 지적정보의 D/B 구축을 위해 연구대상 지를 일부 선정하여 지적측량 시 D/B 화할 수 없는 지적 불부합지를 일반측량에 의한 현황도와 항공사진측량에 의해 제작된 GSIS 도면을 이용하여 실지 지적기초점을 내려 현황 측량한 성과에 의해 비교 분석하고 그 상관성을 해석함으로써 장래 지적 정보 D/B 구축 시 측량기법의 정확도 향상을 도모하고자 하는데 그 목적이 있다.

• 한국식품조리과학회지
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• 제19권5호
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• pp.647-658
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• 2003

Foodservice at elementary schools has been provided nation-wide. It is predictable that foodborne diseases would increase continuously. Formation of a counterplan is urgently needed. This study was designed to identify the stage which contains the critical control points (CCPs) for the microbiological management of HACCP (Hazard Analysis Critical Control Point) at the foodservice provided at elementary schools. Foodservice places at four elementary schools in Seoul were sampled and the overall hygiene of cooking, utensils and equipment, employees, and environment by season were examined. The results showed that the number of bacteria in overall samples was increased and that E. coli, Salmonella and Staphylococcus by biochemical test emerged in more diverse samples in summer than in spring. Particularly, the number of aerial bacteria in summer was three-fold greater than that in either spring or winter. E. coli 0157 was not detected, although Salmonella was identified by PCR analysis in the meat knives, chopping boards, waste bins and meat dish at elementary school foodservice. According to this data, cross-contamination should be managed in the stage of mixing up the ingredients with improper equipments and insanitary treatments. Thus, the establishment of SSOP (Sanitation Standard Operating Procedures) and GMP (Good Manufacturing Practice) at elementary school foodservice is stringently required, along with sanitation education for workers and employees as CCPs.

• 대한원격탐사학회지
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• 제20권4호
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• pp.253-259
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• 2004

본 연구의 목적은 다양한 공간해상도의 위성영상(Landsat + ETM, KOMPSAT-1 EOC, ASTER VNIR, IKONOS 전정색 및 다중분광)을 비교하여 각 영상에서의 농업관련 정보의 분류기준을 파악하고자 하였다 여기서 농업관련 정보는 식별이 가능한 농업지역, 작물형태, 농업시설과 구조물을 대상으로 하였다. 그 결과는 국토지리정보원과 환경부의 분류기준과 비교하였으며, 본 연구에서 설정한 농업관련정보의 기준을 IKONOS 영상에 적용하여 농업관련 토지피복도를 작성하였다. IKONOS 영상에 대하여 분석된 결과는 KOMPSAT-2의 농업분야 활용에 적용될 것이다.

• 대한원격탐사학회지
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• 제37권4호
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• pp.719-731
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• 2021

This study proposes a two-stage hybrid classification model for crop classification using multi-temporal remote sensing images; the model combines feature embedding by using an autoencoder (AE) with a convolutional neural network (CNN) classifier to fully utilize features including informative temporal and spatial signatures. Long short-term memory (LSTM)-based AE (LAE) is fine-tuned using class label information to extract latent features that contain less noise and useful temporal signatures. The CNN classifier is then applied to effectively account for the spatial characteristics of the extracted latent features. A crop classification experiment with multi-temporal unmanned aerial vehicle images is conducted to illustrate the potential application of the proposed hybrid model. The classification performance of the proposed model is compared with various combinations of conventional deep learning models (CNN, LSTM, and convolutional LSTM) and different inputs (original multi-temporal images and features from stacked AE). From the crop classification experiment, the best classification accuracy was achieved by the proposed model that utilized the latent features by fine-tuned LAE as input for the CNN classifier. The latent features that contain useful temporal signatures and are less noisy could increase the class separability between crops with similar spectral signatures, thereby leading to superior classification accuracy. The experimental results demonstrate the importance of effective feature extraction and the potential of the proposed classification model for crop classification using multi-temporal remote sensing images.

• 항공우주시스템공학회지
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• 제15권4호
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• pp.64-74
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• 2021

Unmanned Aircraft Systems (UAS) are rapidly emerging not only as a key military power, such as surveillance and reconnaissance for military purposes but also as a new air transportation means in the form of Urban Air Mobility (UAM). Currently, airworthiness certification is carried out focused on the verification of technical standards for flight safety suitability of aircraft design in accordance with the Military Aircraft Flight Safety Certification Act and does not employ the model for operational risk assessment for mission areas and airspace. In this study, in order to evaluate the risk of the mission area from the perspective of the UAS operator, a risk assessment simulation has been conducted by applying the Specific Operations Risk Assessment (SORA) model to the operating environment of the Korean military UAS. Also, the validity of the SORA model has been verified through the analysis of simulation results, and a new application plan for airworthiness certification of the military unmanned aerial system has been presented.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제3권1호
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• pp.47-53
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• 2022

The escape behavior of prey fish to predator attack is directly linked to the survival of the fish. In this study, I explored the escape behavior of Medaka fish to bird attacks. To simulate the attack, I designed a model triangular-shaped bird to slide along a fishing line connected between rods at both ends of the tank. The triangular shape was set to 10×15 (S=1), 15×20 (S=2), and 20×25 cm (S=3) with base×height. The slope (θ) of the fishing line, which determines the attack speed of the model bird, was set to values of 15° (θ=1), 30° (θ=2), and 45° (θ=3). The escape behavior was characterized using five variables: escape speed (ν), escape acceleration (α), responsiveness (γ), branch length similarity entropy (ε), and alignment (ϕ). The experimental results showed when (S, θ)=(fixed, varied), the change in values of the five variables were not significant. Thus, the fish respond more sensitively to S than to θ In contrast, when (S, θ)=(varied, fixed), ν, α, and γ showed increasing trends but ε and ϕ did not change much. This indicates the nature of fish escape behavior irrespective of the threat is inherent in ε and ϕ. I found that fish escape behavior can be divided into two types for the five physical quantities. In particular, the analysis showed that the type was mainly determined by the size of the model bird.

• 한국기계가공학회지
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• 제21권1호
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• pp.73-80
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• 2022

Sensors are applied to small aviation platforms for various purposes. Radio frequency (RF) antennas, which are representative sensors, are available in many forms but require the application of slot array RF antennas to ensure high performance and designation. Slot RF array antennas are applied to dip brazing techniques, but the yield and production time are determined by the proficiency of production personnel in a labor-intensive form. Unmanned aerial vehicles or drones, which are representative small aviation platforms, are continuously exposed to various random vibrations because propellers and multiple power sources are used in them. In this study, the fatigue life of slot array RF antennas applied with additive manufacturing was evaluated through the cumulative damage method (Miner's rule) in a vibration environment with a small aviation platform. For the evaluation, an S N curve obtained from a fatigue strength test was used.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1255-1255
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• 2022

Recently, research on digital twins to generate digital information and manage construction in real-time using advanced technology is being conducted actively. However, in the construction industry, it is difficult to optimize and apply digital technology in real-time due to the nature of the construction industry in which information is constantly fluctuating. In addition, inaccurate information on the topography of construction projects is a major challenge for earthmoving processes. In order to ultimately improve the cost-effectiveness of construction projects, both construction quality and productivity should be addressed through efficient construction information management in large-scale earthworks projects. Therefore, in this study, a 3D digital map-based AR site management work support system for higher efficiency and accuracy of site management was proposed by using unmanned aerial vehicles (UAV) in wide earthworks construction sites to generate point cloud data, building a 3D digital map through acquisition and analysis of on-site sensor-based information, and performing the visualization with AR at the site By utilizing the 3D digital map-based AR site management work support system proposed in this study, information is able to be provided quickly to field managers to enable an intuitive understanding of field conditions and immediate work processing, thereby reducing field management sluggishness and limitations of traditional information exchange systems. It is expected to contribute to the improvement of productivity by overcoming factors that decrease productivity in the construction industry and the improvement of work efficiency at construction sites.