• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.1038-1041
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• 2007

어플리케이션 또는 네트워크 레벨의 외곽 방어에 의한 보안 기능의 한계로 인하여 운영체제 내부 보안에 대한 필요성이 증대되고 있다. 그에 따라 시스템상에서의 또는 시스템에 의한 행동을 제어하기 위한 차세대 보안솔루션으로 보안 운영체제가 부각되고 있다. 이에 본 논문에서는 안전한 운영체제 구축을 위한 보안 요구 사항의 기준이 될 수 있는 다중등급 보안에 의한 윈도우 서버 보안 강화 기술을 소개하고 본 논문에서 설계하고 구현한 보안 커널의 기능을 중심으로 기술한다. 또한 기존의 전형적인 보안레이블을 확장하여 추가적으로 제어할 수 있도록 수정된 보안 모델을 제시한다.

• Asian-Australasian Journal of Animal Sciences
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• 제24권9호
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• pp.1282-1287
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• 2011

The objective of this study was to assess the effect of xylanase on net energy for production, performance, nutrient digestion and gut microflora of broilers fed corn/soy-based diet. Eighty-four day-old male broiler chicks were allocated to two groups receiving two treatments, respectively. Each treatment had six replicate cages with seven broilers per cage. The diets were based on corn and soybean. The treatments were: i) basal diet reduced in apparent metabolizable energy (-0.63 MJ/kg compared to commercial diet specifications); ii) basal diet supplemented xylanase at 4,000 u/kg feed. The experiment used the auto-control, open circuit respiration calorimetry apparatus to examine the heat production and net energy for production. The results revealed that xylanase supplementation did not affect growth performance and diet AME value, but increased $NE_p$ value by 18.2% (p<0.05) and decreased daily heat production per $kg^{0.75}$ by 31.7% (p<0.05). There was no effect (p>0.05) of xylanase supplementation on the ileal digestibility of N and hemicelluloses, but the ileum digestibility of energy was increased by 2% by xylanase supplementation (p<0.05). Xylanase supplementation increased (p<0.05) the count of lactobacillus and bifidobacterial in the caecum.

• 한국태양에너지학회 논문집
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• 제35권5호
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• pp.11-19
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• 2015

In this paper, EP-Kalina cycle applying liquid-vapor ejector and motive pump is newly proposed. In this EP-Kalina cycle, the liquid-vapor ejector is used to increase pressure difference between inlet and outlet of the turbine. Also the motive pump enhances the performance of liquid-vapor ejector, resulting in increase of system efficiency of OTEC cycles. The comparison cycles in this study are basic, Kalina, EKalina and EP-Kalina ones. The pump work, net power, APRe, APRc, TPP and system efficiency of each cycle are compared. In case of net power, EP-Kalina cycle is lowest among the cycles due to the application of the motive pump. But, the net power difference of cycles seems to be minor since the pump work of cycles is merely about 1kW, compared to turbine gross power of 20kW. The system efficiency of EP-Kalina cycle shows 3.22%, relatively 44% higher than that of basic OTEC cycle. Therefore, the system efficiency is increased by applying the liquid-vapor ejector and the motive pump. Additional performance analysis is necessary to optimize the proposed EP-Kalina cycle.

• 대한원격탐사학회지
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• 제36권6_2호
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• pp.1591-1604
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• 2020

본 연구는 고해상도 위성영상을 딥러닝 알고리즘에 적용하여 토지피복을 분류하고 공간객체별 알고리즘의 성능 검증에 대한 연구이다. 이를 Fully Convolutional Network계열의 알고리즘을 선정하였으며, Kompasat-3 위성영상, 토지피복지도 및 임상도를 활용하여 데이터셋을 구축하였다. 구축된 데이터셋을 알고리즘에 적용하여 각각 최적 하이퍼파라미터를 산출하였다. 하이퍼파라미터 최적화 이후 최종 분류를 시행하였으며, 전체 정확도는 DeeplabV3+가 81.7%로 가장 높게 산정되었다. 그러나 분류 항목별로 정확도를 살펴보면, 도로 및 건물에서 SegNet이 가장 우수한 성능을 나타내었으며, 활엽수, 논의 항목에서 U-Net이 가장 높은 정확도를 보였다. DeeplabV3+의 경우 밭과 시설재배지, 초지 등에서 다른 두 모델보다 우수한 성능을 나타내었다. 결과를 통해 토지피복 분류를 위해 하나의 알고리즘 적용에 대한 한계점을 확인하였으며, 향후 공간객체별로 적합한 알고리즘을 적용한다면, 높은 품질의 토지피복분류 결과를 산출할 수 있을 것으로 기대된다.

• Journal of Pharmaceutical Investigation
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• 제23권2호
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• pp.97-102
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• 1993

Hospital pharmacy services are divided into dispensing affairs for inpatients and outpatients, pharmaceutical service, stock control, intravenous admixture service, drug information service, pharmacokinetic consultation service, education and research work, etc. But among those affairs, dispensing affair for outpatient is perceived as the most important work in Korea, because it is linked directly with hospital service for patients. Therefore, total computer system for dispensing area was adopted from opening point of hospital in 1989 in Asan Medical Center. Utilization of computer system for outpatient dispensing area is as follows; 1) Order communication system of prescription by Total Hospital Information System, 2) Automatic print-out system of direction for use by sticker connected with on-line net work, 3) Use of automatic tablet counting and packaging machines connected with on-line net work. Those computer system resulted in curtailment of pharmacy manpower and shortening of waiting-time for outpatient.

• Journal of Multimedia Information System
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• 제5권1호
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• pp.15-20
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• 2018

There are a lot of problems in the face detection area. One of them is detecting faces by facial features and reducing number of the false negatives and positions. This paper is directed to solve this problem by the proposed triangle method. Also, this paper explans cascades, Haar-like features, AdaBoost, HOG. We propose a scheme using 12-net, 24-net, 48-net to scan images and improve efficiency. Using triangle method for frontal pose, B and B1 methods for other poses in neural networks are proposed.

• Computers and Concrete
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• 제32권6호
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• pp.615-623
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• 2023

Crack detection is an essential method to ensure the safety of dam concrete structures. Low-quality crack images of dam concrete structures limit the application of neural network methods in crack detection. This research proposes a modified attentional mechanism model to reduce the disturbance caused by uneven light, shadow, and water spots in crack images. Also, the focal loss function solves the small ratio of crack information. The dataset collects from the network, laboratory and actual inspection dataset of dam concrete structures. This research proposes a novel method for crack detection of dam concrete structures based on the U-Net neural network, namely AF-UNet. A mutual comparison of OTSU, Canny, region growing, DeepLab V3+, SegFormer, U-Net, and AF-UNet (proposed) verified the detection accuracy. A binocular camera detects cracks in the experimental scene. The smallest measurement width of the system is 0.27 mm. The potential goal is to achieve real-time detection and localization of cracks in dam concrete structures.

• 열처리공학회지
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• 제14권1호
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• pp.42-48
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• 2001

• Journal of Communications and Networks
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• 제18권5호
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• pp.784-795
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• 2016

In this paper, we investigate the resource allocation problem in time-varying heterogeneous wireless networks (HetNet) with multi-homing user equipments (UE). The stochastic optimization model is employed to maximize the network utility, which is defined as the difference between the HetNet's throughput and the total energy consumption cost. In harmony with the hierarchical architecture of HetNet, the problem of stochastic optimization of resource allocation is decomposed into two subproblems by the Lyapunov optimization theory, associated with the flow control in transport layer and the power allocation in physical (PHY) layer, respectively. For avoiding the signaling overhead, outdated dynamic information, and scalability issues, the distributed resource allocation method is developed for solving the two subproblems based on the primal-dual decomposition theory. After that, the adaptive resource allocation algorithm is developed to accommodate the timevarying wireless network only according to the current network state information, i.e. the queue state information (QSI) at radio access networks (RAN) and the channel state information (CSI) of RANs-UE links. The tradeoff between network utility and delay is derived, where the increase of delay is approximately linear in V and the increase of network utility is at the speed of 1/V with a control parameter V. Extensive simulations are presented to show the effectiveness of our proposed scheme.

• 한국환경보건학회지
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• 제47권5호
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• pp.454-461
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• 2021

Background: Fish and fishery products (FFPs) unintentionally contaminated with various environmental pollutants are major exposure pathways for humans. To protect human health from the consumption of contaminated FFPs, it is essential to develop a systematic tool for evaluating exposure and risks. Objectives: To regularly, accurately, and quickly evaluate adverse health outcomes due to FFPs contamination, we developed an automated dietary exposure and risk assessment system called HERA (the Human Exposure and Risk Assessment system for chemicals in FFPs). The aim of this study was to develop an overall architecture design and demonstrate the major features of the HERA system. Methods: For the HERA system, the architecture framework consisted of multi-layer stacks from infrastructure to fish exposure and risk assessment layers. To compile different contamination levels and types of seafood consumption datasets, the data models were designed for the classification codes of FFP items, contaminants, and health-based guidance values (HBGVs). A systematic data pipeline for summarizing exposure factors was constructed through down-scaling and preprocessing the 24-hour dietary recalls raw dataset from the Korea National Health and Nutrition Examination Survey (KNAHES). Results: According to the designed data models for the classification codes, we standardized 167 seafood items and 2,741 contaminants. Subsequently, we implemented two major functional workflows: 1) preparation and 2) main process. The HERA system was developed to enable risk assessors to accumulate the concentration databases sustainably and estimate exposure levels for several populations linked to seafood consumption data in KNAHES in a user-friendly manner and in a local PC environment. Conclusions: The HERA system will support policy-makers in making risk management decisions based on a nation-wide risk assessment for FFPs.