• 제목/요약/키워드: Defense method

검색결과 2,461건 처리시간 0.03초

The Methodology and Case of Scientific System Engineering Management Process in Defense Space Program

  • Park, Heonjun
    • 항공우주시스템공학회지
    • /
    • 제15권4호
    • /
    • pp.7-10
    • /
    • 2021
  • Including 425 Program, which is Korean military surveillance and reconnaissance satellite, there were mostly civil-driven space programs in Korea. However, there are increasing numbers of military demand-driven space program in nowadays. Furthermore, it is positive effects on launch vehicle development in Korea that the termination of Korea-U.S. missile guideline. In this paper, it emphasizes the needs of system engineering(SE) management method which meets both defense system's characteristics and space's characteristics. These characteristics are such as non-fixable after the launch, the security issue in defense system. And it also introduces SE tool, methodology and its philosophy. There are several functions that data management, issue management, risk management, and technical requirement management. Also describing its implications and direction of improvement.

멀티에이전트 강화학습에서 견고한 지식 전이를 위한 확률적 초기 상태 랜덤화 기법 연구 (Stochastic Initial States Randomization Method for Robust Knowledge Transfer in Multi-Agent Reinforcement Learning)

  • 김도현;배정호
    • 한국군사과학기술학회지
    • /
    • 제27권4호
    • /
    • pp.474-484
    • /
    • 2024
  • Reinforcement learning, which are also studied in the field of defense, face the problem of sample efficiency, which requires a large amount of data to train. Transfer learning has been introduced to address this problem, but its effectiveness is sometimes marginal because the model does not effectively leverage prior knowledge. In this study, we propose a stochastic initial state randomization(SISR) method to enable robust knowledge transfer that promote generalized and sufficient knowledge transfer. We developed a simulation environment involving a cooperative robot transportation task. Experimental results show that successful tasks are achieved when SISR is applied, while tasks fail when SISR is not applied. We also analyzed how the amount of state information collected by the agents changes with the application of SISR.

수중실험을 통한 원통구조물의 3차원 수중방사소음 패턴 산출기법 분석 (A Analysis on the Estimation Method of the 3D Underwater Radiation Noise Pattern of Cylindrical Structure with the Underwater Experiments)

  • 이종주;강명환;한승진;정현주;오준석;배수룡;정우진;서영수
    • 한국소음진동공학회논문집
    • /
    • 제24권11호
    • /
    • pp.907-918
    • /
    • 2014
  • In this study for the prediction of 3D underwater radiated noise pattern, a comparison between the proposed method(DHIE, Discrete Helmholtz Integral Equation) and the 3D underwater radiated noise calculation results using the measurement of near-field acoustic pressure data is performed. The near-field acoustic pressure in water is measured for the calculation of the far-field radiated noise pattern and the far-field acoustic power. Also the vibration field of the underwater structure is measured in simultaneously. Using the total far-field acoustic power and the vibration field on the surface of the structure, the proposed method(DHIE) can predict the underwater radiated noise pattern of the far-field The predicted results show the reasonable agreement within about 5dB comparing with the experiment result.

Multi-Class Multi-Object Tracking in Aerial Images Using Uncertainty Estimation

  • Hyeongchan Ham;Junwon Seo;Junhee Kim;Chungsu Jang
    • 대한원격탐사학회지
    • /
    • 제40권1호
    • /
    • pp.115-122
    • /
    • 2024
  • Multi-object tracking (MOT) is a vital component in understanding the surrounding environments. Previous research has demonstrated that MOT can successfully detect and track surrounding objects. Nonetheless, inaccurate classification of the tracking objects remains a challenge that needs to be solved. When an object approaching from a distance is recognized, not only detection and tracking but also classification to determine the level of risk must be performed. However, considering the erroneous classification results obtained from the detection as the track class can lead to performance degradation problems. In this paper, we discuss the limitations of classification in tracking under the classification uncertainty of the detector. To address this problem, a class update module is proposed, which leverages the class uncertainty estimation of the detector to mitigate the classification error of the tracker. We evaluated our approach on the VisDrone-MOT2021 dataset,which includes multi-class and uncertain far-distance object tracking. We show that our method has low certainty at a distant object, and quickly classifies the class as the object approaches and the level of certainty increases.In this manner, our method outperforms previous approaches across different detectors. In particular, the You Only Look Once (YOLO)v8 detector shows a notable enhancement of 4.33 multi-object tracking accuracy (MOTA) in comparison to the previous state-of-the-art method. This intuitive insight improves MOT to track approaching objects from a distance and quickly classify them.

A Study of Image Classification using HMC Method Applying CNN Ensemble in the Infrared Image

  • Lee, Ju-Young;Lim, Jae-Wan;Koh, Eun-Jin
    • Journal of Electrical Engineering and Technology
    • /
    • 제13권3호
    • /
    • pp.1377-1382
    • /
    • 2018
  • In the marine environment, many clutters have similar features with the marine targets due to the diverse changes of the air temperature, water temperature, various weather and seasons. Also, the clutters in the ground environment have similar features due to the same reason. In this paper, we proposed a robust Hybrid Machine Character (HMC) method to classify the targets from the clutters in the infrared images for the various environments. The proposed HMC method adopts human's multiple personality utilization and the CNN ensemble method to classify the targets in the ground and marine environments. This method uses an advantage of the each environmental training model. Experimental results demonstrate that the proposed method has better success rate to classify the targets and clutters than previously proposed CNN classification method.

적외선 영상에서의 표적과 클러터 구분을 위한 Hybrid Machine Character 기반의 Du-CNN 설계 (A Design of Du-CNN based on the Hybrid Machine Characters to Classify Target and Clutter in The IR Image)

  • 이주영;임재완;백하은;김춘호;박정수;고은진
    • 한국군사과학기술학회지
    • /
    • 제20권6호
    • /
    • pp.758-766
    • /
    • 2017
  • In this paper, we propose a robust duality of CNN(Du-CNN) method which can classify the target and clutter in coastal environment for IR Imaging Sensor. In coastal environment, there are various clutter that have many similarities with real target due to diverse change of air temperature, water temperature, weather and season. Also, real target have various feature due to the same reason. Thus, the proposed Du-CNN method adopts human's multiple personality utilization and CNN technique to learn and classify target and clutter. This method has an advantage of the real time operation. Experimental results on sampled dataset of real infrared target and clutter demonstrate that the proposed method have better success rate to classify the target and clutter than general CNN method.

MITRE ATT&CK을 이용한 APT 공격 스코어링 방법 연구 (An APT Attack Scoring Method Using MITRE ATT&CK)

  • 조성영;박용우;이건호;최창희;신찬호;이경식
    • 정보보호학회논문지
    • /
    • 제32권4호
    • /
    • pp.673-689
    • /
    • 2022
  • 본 연구에서는 APT 공격을 탐지하고 대응하기 위한 과정의 하나로 APT 공격을 스코어링하는 방안을 제안한다. 먼저, 사이버 공격을 스코어링하는 과정에서 비일관적인 전문가의 주관적인 판단 요소를 고려한 기존의 연구와는 달리, MITRE ATT&CK의 공격기술을 구성하는 여러 구성요소 중 정량화할 수 있는 요소들을 식별하고 이를 정량화하는 방안을 제시한다. 또한, 정량화된 요소들을 이용하여 단위 공격기술의 스코어를 도출하고, 나아가 여러 공격 기술로 구성된 전체 APT 공격의 스코어를 산출하는 방안을 제안한다. 제안한 스코어링 방법을 APT 공격 사례 보고서에 적용하여 APT 공격을 포함한 다양한 사이버 공격의 위협 수준 및 시급성을 판단하기 위한 정량화 가능성을 제시한다. 본 연구를 이용하여 APT 공격을 탐지하는 과정에서 실제 공격 여부를 판단하고, 공격의 우선순위를 산정함으로써 더욱 시급하고 중요한 사이버 공격에 대응할 수 있을 것이다.

코드상관 거리측정센서의 시뮬레이션 기법 연구 (A Study on the Simulation Method of the Code Correlation Range)

  • 김웅식;깅병무;김완주
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1997년도 하계학술대회 논문집 B
    • /
    • pp.459-461
    • /
    • 1997
  • This paper describes a simulation method of the correlation-signal output, which has Doppler effect (variation of amplitude, phase, and frequency) caused by the moving-effect of target and encounter conditions. Using these results, we can develope and verify the algorithm of the signal processing parts of the code correlation range sensor with ease.

  • PDF

특허 마이닝을 이용한 국방관련 국제특허분류 개선 방안 연구 (A Study on the Improvement of the Defense-related International Patent Classification using Patent Mining)

  • 김경수;조남욱
    • 품질경영학회지
    • /
    • 제50권1호
    • /
    • pp.21-33
    • /
    • 2022
  • Purpose: As most defense technologies are classified as confidential, the corresponding International Patent Classifications (IPCs) require special attention. Consequently, the list of defense-related IPCs has been managed by the government. This paper aims to evaluate the defense-related IPCs and propose a methodology to revalidate and improve the IPC classification scheme. Methods: The patents in military technology and their corresponding IPCs during 2009~2020 were utilized in this paper. Prior to the analysis, patents are divided into private and public sectors. Social network analysis was used to analyze the convergence structure and central defense technology, and association rule mining analysis was used to analyze the convergence pattern. Results: While the public sector was highly cohesive, the private sector was characterized by easy convergence between technologies. In addition, narrow convergence was observed in the public sector, and wide convergence was observed in the private sector. As a result of analyzing the core technologies of defense technology, defense-related IPC candidates were identified. Conclusion: This paper presents a comprehensive perspective on the structure of convergence of defense technology and the pattern of convergence. It is also significant because it proposed a method for revising defense-related IPCs. The results of this study are expected to be used as guidelines for preparing amendments to the government's defense-related IPC.

통계 기법에 의한 방산업체의 간접원가부문 비율 추정 (Ratio Estimation of Indirect Cost Sector about Defense Companies by Statistic Technique)

  • 임현철;김수환
    • 산업경영시스템학회지
    • /
    • 제40권4호
    • /
    • pp.246-252
    • /
    • 2017
  • In the defense acquisition, a company's goal is to maximize profits, and the government's goal is to allocate budgets efficiently. Each year, the government estimates the ratio of indirect cost sector to defense companies, and estimates the ratio to be applied when calculating cost of the defense articles next year. The defense industry environment is changing rapidly, due to the increasing trend of defense acquisition budgets, the advancement of weapon systems, the effects of the 4th industrial revolution, and so on. As a result, the cost structure of defense companies is being diversifying. The purpose of this study is to find an alternative that can enhance the rationality of the current methodology for estimating the ratio of indirect cost sector of defense companies. To do this, we conducted data analysis using the R language on the cost data of defense companies over the past six years in the Defense Integrated Cost System. First, cluster analysis was conducted on the cost characteristics of defense companies. Then, we conducted a regression analysis of the relationship between direct and indirect costs for each cluster to see how much it reflects the cost structure of defense companies in direct labor cost-based indirect cost rate estimates. Lastly a new ratio prediction model based on regularized regression analysis was developed, applied to each cluster, and analyzed to compare performance with existing prediction models. According to the results of the study, it is necessary to estimate the indirect cost ratio based on the cost character group of defense companies, and the direct labor cost based indirect cost ratio estimation partially reflects the cost structure of defense companies. In addition, the current indirect cost ratio prediction method has a larger error than the new model.