• 한국재난정보학회 논문집
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• 제15권1호
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• pp.49-66
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• 2019

연구목적: 본 연구는 드론의 테러위협으로부터 민간 다중이용시설이 안전하고 유익하게 사용될 수 있도록, 민간시설의 드론테러 방어를 위한 법제도의 개선방안을 제시하고자 한다. 연구방법:연구를 위해 국가가 민간시설에 대해 시행하고 있는 대테러활동 운영실태를 조사 분석하였으며, 국외의 모범사례를 기술하고 비교하여 국내에 필요한 드론테러에 대한 국가 대테러정책의 방향을 제시하고 있다. 연구 결과: 국내 드론테러에 대한 법제도 한계점에 대하여 연구한 결과, 국내 적용 가능한 안티드론 기술을 구축 활용하기 어려워짐에 따라 드론테러에 대한 위협 뿐만 아니라, 사생활 침해, 스토킹 등의 범죄에도 취약점이 드러났다. "전파법과" 정보보호관련 법률 등 국민의 안전에 관한 법률은 안티드론기술의 도입을 방해하는 장애요인이 되고 있으므로 본 논문에서 제시하고 있는 법제도의 개선이 요구된다. 결론: 본 연구를 통해 민간시설 드론테러 취약요인과 피해경감대책의 법제도적 한계점과 개선방안을 하였다. 따라서 본 연구의 개선방안을 검토하여 드론테러의 대책방안이 마련되어야 한다.

• BMB Reports
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• 제54권10호
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• pp.497-504
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• 2021

EGR1 (early growth response 1) is dysregulated in many cancers and exhibits both tumor suppressor and promoter activities, making it an appealing target for cancer therapy. Here, we used a systematic multi-omics analysis to review the expression of EGR1 and its role in regulating clinical outcomes in breast cancer (BC). EGR1 expression, its promoter methylation, and protein expression pattern were assessed using various publicly available tools. COSMIC-based somatic mutations and cBioPortal-based copy number alterations were analyzed, and the prognostic roles of EGR1 in BC were determined using Prognoscan and Kaplan-Meier Plotter. We also used bc-GenEx-Miner to investigate the EGR1 co-expression profile. EGR1 was more often downregulated in BC tissues than in normal breast tissue, and its knockdown was positively correlated with poor survival. Low EGR1 expression levels were also associated with increased risk of ER+, PR+, and HER2- BCs. High positive correlations were observed among EGR1, DUSP1, FOS, FOSB, CYR61, and JUN mRNA expression in BC tissue. This systematic review suggested that EGR1 expression may serve as a prognostic marker for BC patients and that clinicopathological parameters influence its prognostic utility. In addition to EGR1, DUSP1, FOS, FOSB, CYR61, and JUN can jointly be considered prognostic indicators for BC.

• 한국환경농학회지
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• 제39권4호
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• pp.319-326
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• 2020

BACKGROUND: Measurement equipment was developed for inorganic nutrient concentration inside the hydroponic culture medium with several macro- and micro compositions, and applied for measuring the compositions of conventional medium. METHODS AND RESULTS: Before the equipment development, sonicator and heater were utilized to control temperature around of the module mixing with color reagents and target samples among the inorganic compositions. The measurement module and multi-sampler were also manufactured based on the COMS (Complementary Metal-Oxide Semiconductor) and installed inside the measurement equipment. Concentration of standard solution, value measured by the equipment, standard deviation or measured average value were used for estimating the accuracy and average recall of the equipment. Yamazaki solutions with EC of 0.5, 1.5, and 2.5 dS/m were offered to confirm the equipment accuracy and standard error. CONCLUSION: It was suggested that the developed equipment could be automatically applied for measurement with accuracy of over 96% and standard errors of less than 5% on 12 macro- and micro compositions such as a NO3-N, PO43- or Fe.

• 정보보호학회논문지
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• 제22권2호
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• pp.225-238
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• 2012

온라인 게임의 다양한 보안 위협 가운데, 온라인 게임 봇의 사용이 게임 서비스에 가장 심각한 문제를 야기하고 있다. 본 논문에서는 온라인 게임 봇 탐지를 위한 소셜 액티비티 분석 프레임워크를 제안한다. 이 프레임워크를 이용하여 게이머의 소셜 액티비티를 가장 많이 포함하고 있는 파티 플레이(party play) 로그를 분석하는 데에 적용하였다. 게임 봇은 일반 사용자들과 다르게, 사이버 자산을 빠르게 얻는데 특화되어 있기 때문에 소셜 액티비티를 분석할 경우 정상적인 사용자들과 행동 패턴에 차이가 있다. 이 특징을 이용하여 게임 봇 이용자와 일반 이용자들을 구분해 낼 수있도록, 사용자 행위를 분석하고 온라인 게임 봇 탐지를 위한 임계값을 정의하였다. 탐지 규칙을 포함하는 지식 기반 시스템을 구축한 뒤 이를 국내 최대, 세계 6위 규모의 게임에 적용하였다. 본 논문의 프레임워크를 활용하여 분류를 한 결과 95.92%의 높은 정확도를 보였다.

• 한국정보통신학회논문지
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• 제23권12호
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• pp.1506-1513
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• 2019

최근 드론과 같은 멀티로터 UAV(Unmanned Aerial Vehicle, 무인항공기)의 산업 범위가 크게 확대됨에 따라, UAV를 활용한 데이터의 수집 및 처리, 분석에 대한 요구도 함께 증가하고 있다. 그러나 UAV를 이용해서 수집된 음향 데이터는 UAV의 모터 소음과 바람 소리 등으로 크게 손상되어, 음향 데이터의 처리 및 분석이 어렵다는 단점이 있다. 따라서 본 논문에서는 UAV에 연결된 마이크를 통해 수신된 음향 신호로부터 목표 음향 신호의 품질을 향상시킬 수 있는 방법에 대해 연구하였다. 본 논문에서는 기존의 단일 채널 음향 향상 기술 중 하나인 densely connected dilated convolutional network를 음향 신호의 채널 간 특성을 반영할 수 있도록 확장하였으며, 그 결과 SDR, PESQ, STOI과 같은 평가 지표에서 기존 연구 대비 좋은 성능을 보였다.

• 한국항행학회논문지
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• 제25권4호
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• pp.293-298
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• 2021

일반적으로 유도무기의 탐색기와 유도조종장치는 유도탄의 상태를 나타내기 위해 표적, 탐색, 인지, 포착정보를 처리하여 유도무기의 운용 및 제어를 담당하는 역할을 한다. 유도에 필요한 신호는 시선 변화율 신호, 시각 신호, 종말 단계 동체 지향 신호이며, 발사 통제에 필요한 신호는 표적, 감지 신호가 필요하다. 최근 유도탄의 복잡하고 처리하기 어려운 유도탄 신호를 실시간으로 처리하기 위해 유도탄의 데이터 처리 속도를 높여야 한다. 본 연구는 PLINQ(Parallel Language-Integrated Query)의 병렬 알고리즘 방법 중 스톱앤고와 역 열거형 알고리즘을 적용한 후 유도탄 점검 프로그램을 이용하여 실시간으로 유도탄 필요 신호 데이터 처리속도를 비교 후 처리결과를 나타내었다. 도출된 데이터 처리결과 기준으로 다중코어 처리방식과 단독코어 처리방식 CPU(Central Processing Unit) 처리속도 비교, CPU 코어 이용률을 비교하고 병렬처리 알고리즘 적용 시 유도탄 데이터 처리에 효과적 방법을 제안한다.

• 산업경영시스템학회지
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• 제44권4호
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• pp.43-52
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• 2021

In weapon assignment studies to defend against threats such as ballistic missiles and long range artillery, threat assessment was partially lacking in analysis of various threat attributes, and considering the threat characteristics of warheads, which are difficult to judge in the early flight stages, it is very important to apply more reliable optimal solutions than approximate solution using LP model, Meta heuristics Genetic Algorithm, Tabu search and Particle swarm optimization etc. Our studies suggest Generic Rule based threat evaluation and weapon assignment algorithm in the basis of various attributes of threats. First job of studies analyzes information on Various attributes such as the type of target, Flight trajectory and flight time, range and intercept altitude of the intercept system, etc. Second job of studies propose Rule based threat evaluation and weapon assignment algorithm were applied to obtain a more reliable solution by reflection the importance of the interception system. It analyzes ballistic missiles and long-range artillery was assigned to multiple intercept system by real time threat assessment reflecting various threat information. The results of this study are provided reliable solution for Weapon Assignment problem as well as considered to be applicable to establishing a missile and long range artillery defense system.

• Physical Therapy Rehabilitation Science
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• 제11권1호
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• pp.8-15
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• 2022

Objective: Post stroke motor recovery is facilitated by the brain reorganization or the neuroplastic changes. The therapeutic approach mentioned in the current case is one of the approaches for enhancing motor recovery by stimulating the damaged neural networks directing the motor behaviour of a person. The aim of the present study was to establish the changes in the balance and gait pattern of an individual through multi target stimulation of areas of cerebral cortex by utilising multichannel trans cranial direct current stimulation (M-tDCS) in a sub-acute stroke survivor. Design: A Case Report Methods: The present patient was the participant of the trial (CTRI/2021/02/031044).The patient was intervened with M-tDCS (anodes over left primary motor cortex that is C3 point and left dorsolateral prefrontal cortex i.e., F3 point and cathodes over supraorbital areas, Intensity - 1.2mA) for the duration of 20 minutes along with turbo med extern - an AFO to facilitate ankle dorsi flexion and conventional physiotherapy rehabilitation. The Fugl-Meyer assessment lower extremity (FMA-LE), Berg Balance Scale (BBS), Wisconsin Gait Scale (WGS) and the Stroke Specific Quality of Life (SSQOL) measures were used for outcome assessment. Baseline assessment was done on day 0 followed by assessment on 10 and 20 post intervention. Results: Improvement was seen in all the tools i.e. (FMA -LE), BBS, SSQOL and WGS over the time period of 20 days. Conclusions: M-tDCS resulted in improvement in gait parameters, balance and motor functions of lower extremity of the patient.

• 대한원격탐사학회지
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• 제38권6_4호
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• pp.1911-1923
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• 2022

The availability of high-resolution satellite images provides precise information without direct observation of the research target. Korea Multi-Purpose Satellite (KOMPSAT), also known as the Arirang satellite, has been developed and utilized for earth observation. The machine learning model was continuously proven as a good classifier in classifying remotely sensed images. This study aimed to compare the performance of the support vector machine (SVM) model in classifying the land cover of the Delaware River port area on high and medium-resolution images. Three optical images, which are KOMPSAT-2, KOMPSAT-3A, and Sentinel-2B, were classified into six land cover classes, including water, road, vegetation, building, vacant, and shadow. The KOMPSAT images are provided by Korea Aerospace Research Institute (KARI), and the Sentinel-2B image was provided by the European Space Agency (ESA). The training samples were manually digitized for each land cover class and considered the reference image. The predicted images were compared to the actual data to obtain the accuracy assessment using a confusion matrix analysis. In addition, the time-consuming training and classifying were recorded to evaluate the model performance. The results showed that the KOMPSAT-3A image has the highest overall accuracy and followed by KOMPSAT-2 and Sentinel-2B results. On the contrary, the model took a long time to classify the higher-resolution image compared to the lower resolution. For that reason, we can conclude that the SVM model performed better in the higher resolution image with the consequence of the longer time-consuming training and classifying data. Thus, this finding might provide consideration for related researchers when selecting satellite imagery for effective and accurate image classification.

• Animal Bioscience
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• 제35권11호
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• pp.1649-1655
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• 2022

Objective: The primary objective of this study was to determine the genetic parameters for reproductive traits among Large White pigs, including the following traits: total number born (TNB), number born alive (NBA), litter birth weight (LBW), average birth weight (ABW), gestation length (GL), age at first service (AFS) and age at first farrowing (AFF). Methods: The dataset consisted of 19,036 reproductive records from 4,986 sows, and a multi-trait animal model was used to estimate genetic variance components of seven reproductive traits. Results: The heritability estimates for these reproductive traits ranged from 0.09 to 0.26, with the highest heritability for GL and AFF, and the lowest heritability for NBA. The repeatabilities for TNB, NBA, LWB, ABW, and GL were ranged from 0.16 to 0.34. Genetic and phenotypic correlations ranged from -0.41 to 0.99, and -0.34 to 0.98, respectively. In particular, the correlations between TNB, NBA and LBW, between AFS and AFF, exhibited a strong positive correlation. Furthermore, for TNB, NBA, LBW, ABW, and GL, genetic correlations of the same trait between different parities were moderately to strongly correlated (0.32 to 0.97), and the correlations of adjacent parities were higher than those of nonadjacent parities. Conclusion: All the results in the present study can be used as a basis for the genetic assessment of the target population. In the formulation of dam line selection index, AFS or AFF can be considered to combine with TNB in a multiple trait swine breeding value estimation system. Moreover, breeders are encouraged to increase the proportion of sows at parity 3-5 and reinforce the management of sows at parity 1 and parity ≥8.