• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.7
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• pp.831-839
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• 2012

In this paper, an exponential model of Korea is proposed to minimize an altitude-error of high-altitude target due to atmosphere refraction at radar system. The relation between surface refractivity and refractivity gradient, which is extracted using the least square fit from the measured data at 7 weather stations, is applied to the exponential model. And in order to verify the proposed model, the altitude-errors for a standard atmosphere, a CRPL(Central Radio Propagation Lab.) exponential model, the proposed model are extracted and analyzed using a ray tracing. As a result, the proposed model can improve the altitude estimation performance of radar compared to conventional atmosphere refractive index models.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.39 no.2
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• pp.183-194
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• 2011

Synthetic aperture radar (SAR) is widely used because of high resolution imaging capability in all weather and day/night condition. In this paper development of Spotlight SAR simulator is proposed for image quality analysis. Proposed SAR simulator is based on the SAR system design parameters so that SAR image performance can be expected which is essential throughout the full system development procedure from the initial concept design stage to the final in-flight calibration and validation stage. The raw data of ideal point target is first generated by taking account of the flight and imaging geometry and the various SAR system design parameters, and the Spotlight image formation algorithm is implemented in order to obtain the point target response. Finally the image quality of the generated raw data is analyzed in terms of spatial resolution, peak to sidelobe ratio and integrated sidelobe ratio.

• Clinical and Experimental Pediatrics
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• v.50 no.7
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• pp.678-685
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• 2007

Purpose : Recent reports pointed out that gonadotropin releasing hormone analogue (GnRHa) therapy alone is not so promising for improving adult height in precocious puberty. So, that we studied the growth promoting effect of combined therapy with GnRHa and growth hormone (GH) in early pubertal girls. Methods : Twenty three early pubertal girls ($9.73{\pm}1.59yr$) with predicted adult heights (PAH) below-2 standard deviation score (SDS) were included. They were divided into two groups as follows; Group I before menarche (n=19) and Group II after menarche (n=4). After combined therapy, various growth parameters were compared between two groups and between the before and after therapy. Results : Between the two groups before therapy, chronologic age (CA), growth velocity (GV), body mass index (BMI), target height (TH), PAH and serum insulin-like growth factor binding protein-3 were not different, but BA, height and difference between bone age (BA) and CA were significantly higher and insulin-like growth factor-1 (IGF-1) was marginally higher in group II. After therapy, BA still remained higher in group II, but other parameters were not different. In both groups, after therapy, the difference between BA and CA, the ratio of BA over CA, and GV were significantly decreased, but PAH, height SDS and BMI were significantly increased. Regarding IGF-1 level, a significant increase was noted in group I, but not in group II. Conclusion : With combined therapy of GnRHa and GH, PAH in early pubertal girls might be improved significantly and even approach TH. Among them, those who were before menarche might have greater potential for the height gain than those after menarche in view of IGF-1 changes during therapy.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.3
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• pp.234-243
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• 2015

It is required to have the capability to predict the impact point of the ballistic target in order to assign the firing unit with high engagement possibility for the interception in the ballistic target defense systems. In this paper, a novel method is proposed to predict the impact point of the ballistic target using a flight phase discrimination algorithm given the insufficient measurements on the partial trajectory. The flight of a ballistic target is composed of a boost phase and a ballistic phase with different dynamics. The flight phase is discriminated by using the normalized innovation distance between measurements and a priori estimated measurements. The threshold and tolerance in the flight phase discrimination are determined from the probabilistic characteristics of the estimation error. Monte Carlo simulations are performed to verify the proposed method.

• Environmental Analysis Health and Toxicology
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• v.21 no.2 s.53
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• pp.185-195
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• 2006

환경오염물질로부터 수생태계 보호를 위한 표준적인 평가 및 관리 수단인 수질환경기준은 오염물질의 독성작용이 일어나는 표적기관에서의 오염물질의 농도에 대한 대체측정치로서 환경 내 오염물질의 농도를 이용해 왔다. 이러한 '외부환경농도에 기반한 접근방법'은 표적기관에서의 독성물질의 농도가 생물체내 농도에 비례하고, 결국 외부환경농도에도 비례할 것이라고 가정한다. 따라서 환경오염물질의 생물이용도나 생물축적 양상의 차이 때문에 고유 독성치를 비교 평가하는데 한계가 있다. 이와 달리 '생물체내 농도에 기반한 접근방법(이하 생체잔류량 접근법)'은 환경오염물질의 생물이용도나 종 특이적 생물축적 양상과 관련된 불확실성을 제거하고, 환경오염물질 고유의 독성을 비교 평가할 수 있게 해준다. 특히 생체잔류량 접근법을 독성동태학 및 독성역학 모델과 함께 사용하는 경우는 실제 현장에서 일어나는 복잡한 노출조건에서의 독성영향을 예측하는데 활용할 수 있다. '생체잔류량 접근법'은 독성기작별 임계잔류량(Critical Body Residue)을 결정함으로써 생물모니터링의 결과를 해석하는데 적용되고 있다. 또한 생태위해성평가를 위해서 필요한 '무영향예측농도(Predicted No-effect Concentration, PNEC)를 예측하기 위한 방법으로 생체 내 잔류량에 기반해서 농도-시간-반응관계를 기술하고, 예측할 수 있는 새로운 유형의 독성역학 및 독성동태학 모델을 제시하고, 생체내 '무영향농도(No Effect Concentration, NEC)'를 추정하게 해 준다. 특히 생체내 NEC는 '무영향관찰농도(No Observed Effect Concentration, NOEC)'와 '영향농도(Effect Concentration, EC)'처럼 분산분석이나 회귀분석모델과 같은 통계적 모델에 기반해서, 농도-반응관계만을 기술할 뿐인 기존 독성모델을 대체할 대안으로 최근에 OECD와 ISO에 의해서 추천되었다.분석을 시행한 결과 인지기능 장애정도 및 MMSEK 점수 증가에 따른 사망위험도는 어느 모형에서도 인지기능 장애정도가 사망에 미치는 위험도는 통계적으로 유의하지 않았다(표 6, 표 7). 이상 본 연구는 농촌지역 노인들에서 인지기능 장애정도가 사망에 미치는 영향을 알아보고자 하였지만, 인지기능 장애정도가 사망에 미치는 영향을 통계적으로 유의하게 고찰하지 못하였다.의한 차이를 보였다. (P<0.05, P<0.001) 5. Excelco로 부식처리된 도재가 5% HF 용액으로 부식처리된 도재보다 부식정도가 더 현저하였다.은 제언을 하고자 한다. 먼저, 학교급식에 대한 식단 작성 시 학생들이 학교에서 제공되기 원하는 식단에 대한 의견을 받고 그 의견에 대한 결과를 게시하여 학생들이 제공되기 원하는 식단을 급식 시 제공하여 학생들이 식단선택에 동참할 수 있는 기회를 주는 것이 바람직하겠다. 또한 영양사는 학급의 반대표와의 정기적인 모임을 가짐으로서 학생들의 불만사항 및 개선 요구사항에대해 서로 의견을 교환하여 설문지조사가 아닌 직접적인 대화를 하여 문제점을 파악하고자 하는 적극적인 자세가 필요하겠다. 특히 아침식사의 결식 빈도가 높았고 이는 급식성과에 부정적인 영향을 줄 뿐 아니라 학교에서 제공하는 음식의 섭취정도에도 영향을 주고 있으므로 학생들에게 학부모와 전담교사 및 학교영양사는 학생들에게 이상적인 아침식사에 대한 교육은 물론이고 아침식사를 실천할 수 있도록 다양한 방안에 대해 함께 연구해야 하겠다. 정부차원에서 학교급식에 아침식사 프로그램을 도입할 수 있는 방안을 연구하고, 아침을 결식하는 학생이 학교에서 수업시작 하기 전에 간단한 식사를 할 수 있는 정책 도입이 필요하다acid의 생성량(生成量)을 측정(測定)하였는데 periodate의 소비량(消費量)은 1.23 mole, formic acid의 생성량(生成量)은 0.78 mole이다.한 경우도 비교적 많이 먹고 있었다(24.3%). 남 여

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.276-278
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• 2022

All drugs have a specific action in the body, and in many cases, drugs are combinated due to complications or new symptoms during existing drug treatment. In this case, unexpected interactions may occur within the body. Therefore, predicting drug-drug interactions is a very important task for safe drug use. In this study, we propose a deep learning-based predictive model that learns using drug information documents to predict drug interactions that may occur when using multiple drugs. The drug information document was created by combining several properties such as the drug's mechanism of action, toxicity, and target using DrugBank data. And drug information document is pair with another drug documents and used as an input to a deep learning-based predictive model, and the model outputs the interaction between the two drugs. This study can be used to predict future interactions between new drug pairs by analyzing the differences in experimental results according to changes in various conditions.

• The Korean Journal of Pesticide Science
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• v.17 no.4
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• pp.468-472
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• 2013

Chrysanthemum is an economically important horticultural plant in many countries. The white rust is one of the most devastating diseases caused by an obligate fungal pathogen Puccinia horiana. This is being controlled mostly by application of chemicals. In Korea, 26 items are registered and 10 items contain 6 triazole compounds. To identify and to obtain the information of the drug target for triazoles, possible sterol 14-demethylase orthologues were extracted. From the draft genome information, the nucleotide sequence of the sterol 14-demethylase gene was identified. The amino acid sequence was deduced and the tertiary structure of the enzyme was predicted. This protein showed no less than 84% amino acid sequence identities to those of genus Puccinia and no more than 68% to those of other genus.

• Journal of the Korean Institute of Gas
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• v.19 no.3
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• pp.1-8
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• 2015

In this study, we performed risk assessment of chloroprene by hazard evaluation and workplace investigation. The chemical is used to manufacture of shoes, tires, adhesives, and classified as IARC category 2B (possibly carcinogenic to humans) and target organ systemic toxicity. It is used about 1,300 tons per year in 27 sites. It was calculated the risk of carcinogenesis with chloroprene by Monte-carlo simulation that the averages are 2,199 and 26,404 in each case of working less than 15 minutes per day with local exhaust ventilation and over 4 hours per day without local exhaust ventilation. The risk of target organ systemic toxicity are 4.10 and 169.06 with high correlation with working time to be longer and with ventilation system. Therefore, it is recommended that the local exhaust ventilation and respirators to prevent occupational cancer and target organ systemic toxicity with chloroprene. Especially it is determined that there is a need to strengthen the workplace exposure limit (TWA 10 ppm) in Korea since it is managed with TWA less than 5 ppm ($18mg/m^3$) by the United States Occupational Safety and Health Administration (OSHA) as well as it has carcinogenicity, reproductive toxicity.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.11
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• pp.1065-1075
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• 2017

In this study, high velocity impact tests along with modeling of material behavior and numerical analyses were conducted to predict the dispersion behavior of the debris resulting from a high velocity impact fracture. For the impact tests, two different materials were employed for both the projectile and the target plate - the first setup employed aluminum alloy while the second employed steel. The projectile impacts the target plate with a velocity of approximately 1 km/s were enforced to generate the impact damages in the aluminum witness plate through the fracture debris. It was confirmed that, depending on the material employed, the debris dispersion behavior as well as the dispersion radii on the witness plate varied. A numerical analysis was conducted for the same impact test conditions. The smoothed particle hydrodynamics (SPH)-finite element (FE) coupled technique was then applied to model the fracture and damage upon the debris. The experimental and numerical results for the diameters of the perforation holes in the target plate and the debris dispersion radii on the witness plate were in agreement within a 5％ error. In addition, the impact test using steel was found to be more threatening as proven by the larger debris dispersion radius.

• The Journal of the Acoustical Society of Korea
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• v.43 no.2
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• pp.214-224
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• 2024

Sonobuoys are disposable devices that utilize sound waves for information gathering, detecting engine noises, and capturing various acoustic characteristics. They play a crucial role in accurately detecting underwater targets, making them effective detection systems in anti-submarine warfare. Existing sonobuoy deployment methods in multistatic systems often rely on fixed patterns or heuristic-based rules, lacking efficiency in terms of the number of sonobuoys deployed and operational time due to the unpredictable mobility of the underwater targets. Thus, this paper proposes an optimal sonobuoy placement strategy for Unmanned Aerial Vehicles (UAVs) to overcome the limitations of conventional sonobuoy deployment methods. The proposed approach utilizes reinforcement learning in a simulation-based experimental environment that considers the movements of the underwater targets. The Unity ML-Agents framework is employed, and the Proximal Policy Optimization (PPO) algorithm is utilized for UAV learning in a virtual operational environment with real-time interactions. The reward function is designed to consider the number of sonobuoys deployed and the cost associated with sound sources and receivers, enabling effective learning. The proposed reinforcement learning-based deployment strategy compared to the conventional sonobuoy deployment methods in the same experimental environment demonstrates superior performance in terms of detection success rate, deployed sonobuoy count, and operational time.