• Title/Summary/Keyword: 표적 우선순위

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A research on cyber target importance ranking using PageRank algorithm (PageRank 알고리즘을 활용한 사이버표적 중요성 순위 선정 방안 연구)

  • Kim, Kook-jin;Oh, Seung-hwan;Lee, Dong-hwan;Oh, Haeng-rok;Lee, Jung-sik;Shin, Dong-kyoo
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.115-127
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    • 2021
  • With the development of science and technology around the world, the realm of cyberspace, following land, sea, air, and space, is also recognized as a battlefield area. Accordingly, it is necessary to design and establish various elements such as definitions, systems, procedures, and plans for not only physical operations in land, sea, air, and space but also cyber operations in cyberspace. In this research, the importance of cyber targets that can be considered when prioritizing the list of cyber targets selected through intermediate target development in the target development and prioritization stage of targeting processing of cyber operations was selected as a factor to be considered. We propose a method to calculate the score for the cyber target and use it as a part of the cyber target prioritization score. Accordingly, in the cyber target prioritization process, the cyber target importance category is set, and the cyber target importance concept and reference item are derived. We propose a TIR (Target Importance Rank) algorithm that synthesizes parameters such as Event Prioritization Framework based on PageRank algorithm for score calculation and synthesis for each derived standard item. And, by constructing the Stuxnet case-based network topology and scenario data, a cyber target importance score is derived with the proposed algorithm, and the cyber target is prioritized to verify the proposed algorithm.

Target Prioritization for Multi-Function Radar Using Artificial Neural Network Based on Steepest Descent Method (최급 강하법 기반 인공 신경망을 이용한 다기능 레이다 표적 우선순위 할당에 대한 연구)

  • Jeong, Nam-Hoon;Lee, Seong-Hyeon;Kang, Min-Seok;Gu, Chang-Woo;Kim, Cheol-Ho;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.1
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    • pp.68-76
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    • 2018
  • Target prioritization is necessary for a multifunction radar(MFR) to track an important target and manage the resources of the radar platform efficiently. In this paper, we consider an artificial neural network(ANN) model that calculates the priority of the target. Furthermore, we propose a neural network learning algorithm based on the steepest descent method, which is more suitable for target prioritization by combining the conventional gradient descent method. Several simulation results show that the proposed scheme is much more superior to the traditional neural network model from analyzing the training data accuracy and the output priority relevance of the test scenarios.

Multiple Target Management of Air-to-Air mode on Airborne AESA Radar (항공기 탑재 AESA 레이다의 공대공 모드 다표적 관리 기법)

  • Yong-min Kim;Ji-eun Roh
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.580-586
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    • 2023
  • AESA radar is able to instantaneously and adaptively position and control the beam, and this enables to greatly improve multi-target tracking capability with high accuracy in comparison to traditional mechanically-scanned radar system. This paper is primarily concerned with the development of an efficient methodology for multi-target managenent with the context of multi-target environment employing AESA radar. In this paper, targets are stratified into two principal categories: currently displayed targets and non-display targets, predicated upon their relative priority. Displayed targets are subsequently stratified into TOI (target of interest), HPT (high priority target), and SAT (situational awareness target), based on the requisite levels of tracking accuracy. It also suggests rules for determining target priority management, especially in air-to-air mode including interleaved mode. This proposed approach was tested and validated in a SIL (system integration lab) environment, applying it to AESA radars mounted on aircraft.

Tactical Fire Direction Automation for Command and Control of Artilliary Battalion Unit (대대급 화력(포병 부대)의 지휘통제(C2)를 위한 전술적 사격지휘 자동화 절차)

  • Ahn, Myong-Hwan;Ji, Jae-Kyung;Cho, Hyun-Ho;Sin, Chul-Soo;Park, Young-Woo;Lee, Teuc-Soo;Kim, Tae-Yeong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.11B
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    • pp.1738-1747
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    • 2010
  • This report shows the analysis and design of tactical decision automation procedure and the result of core algorithm. Expecially scheme of analysis and design includes result of tactical decision supporting procedure analysis for target engagement to fire in refer to AFATDS. Tactical decision automation procedure has three phases like target analysis, target priority, fire unit decision, fire method and attack method. Target analysis creates base information to decide priorities and attack methods through target activity, size and protection status. Target priority and fire unit decision judge target priority and fire unit with unit status and operation mission basis of target priority. Fire unit and Attack method decide fire style according to the kind of fire and ammunition for effective firing achievement. Finally, we show the effective tactical decision automation procedure through making the algorithm of priority and air control.

A Study of Fuzzy Inference System Based Task Prioritizations for the Improvement of Tracking Performance in Multi-Function Radar (다기능 레이더의 추적 성능 개선을 위한 퍼지 추론 시스템 기반 임무 우선 순위 선정 기법 연구)

  • Kim, Hyun-Ju;Park, Jun-Young;Kim, Dong-Hwan;Kim, Seon-Joo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.24 no.2
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    • pp.198-206
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    • 2013
  • This paper presents the improvement of tracking performance using fuzzy inference system based task prioritizations for multi-function radars. The presented technique calculates elemental priorities using track information of a target and obtain the total priority from fuzzy inference system of each fuzzy set's membership function. In this paper, we proposed the task prioritization algorithms based on fuzzy inference system, and evaluated the tracking performance on multi-function radar scenario using it. As a result, we confirmed that excellent performance could be achieved when using the proposed algorithm.

A Study on Methodology for Air Target Dynamic Targeting Applying Machine Learning (기계학습을 활용한 항공표적 긴급표적처리 발전방안 연구)

  • Kang, Junghyun;Yim, Dongsoon;Choi, Bongwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.4
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    • pp.555-566
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    • 2019
  • In order to prepare for the future warfare environment, which requires a faster operational tempo, it is necessary to utilize the fourth industrial revolution technology in the field of military operations. This study propose a methodology, 'machine learning based dynamic targeting', which can contribute to reduce required man-hour for dynamic targeting. Specifically, a decision tree algorithm is considered to apply to dynamic targeting process. The algorithm learns target prioritization patterns from JIPTL(Joint Integrated Prioritized Target List) which is the result of the deliberate targeting, and then learned algorithm rapidly(almost real-time) determines priorities for new targets that occur during ATO(Air Tasking Order) execution. An experiment is performed with artificially generated data to demonstrate the applicability of the methodology.

Proposal of Bus-stop Information Design Guideline Based on User Experience Design -The Case of Seoul Metropolitan City- (사용자 경험 디자인을 기반으로 한 버스정류장 정보 디자인 가이드라인 제안 연구 -서울시를 중심으로-)

  • Kim, Tae-Hee;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.16 no.1
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    • pp.351-356
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    • 2018
  • The aim of this study is to propose guidelines for bus-stop information design that is more congested with the advent of U-Shelter, via case studies and focus group interviews. First, the literature research explored the concept of information design and correlation of information design and route map. Second, raising problems and consider improvement plans through case study in korea, overseas. Finally, current information design was evaluated and user's requests were derived through focus group interview. The current information design had problems with lack of priority, information overlaying, and hard recognition. Priority shall be selected by bus route, direction of bus, arrival time, interval, and operating time, and information overlay can be reduced into one. Also visualize the connection and direction between the lines using schematic and two-dimensional lines and shapes for recognition. Through this study, it will be used as a reference material to help improve and develop the bus-stop information design.

A Study on Targer Factor Value of Port State Control Inspection Using Absolute Measurement (절대평가법을 이용한 항만국통제 점검 표적점수 평가에 관한 연구)

  • Jang, Woon-Jae
    • Journal of Navigation and Port Research
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    • v.34 no.6
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    • pp.471-477
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    • 2010
  • In recently, IMO consider including an marine casualty factor when Port State Control Inspection evaluate.. This paper proposes an evaluation to Target Factor Values of Port State Control Inspections(PSCITFV) using absolute measurement. To this solve, therefore, this paper used the absolute measurement which is informed compensate the defect and the more rational and objective methode, checked the effectiveness to compare an result with absolute measurement and PSCITFV of Tokyo MOU using Wilcoxson test. Finally, rate change of PSC was investigated by an experiment which changed the values of evaluation factors. As a result, it was evaluation factors of high rate change that was detention, ship's age, casualty factors. Therefore, this factors have to a priority management to do for prevent of PSC.

A Threat Assessment Algorithm for Multiple Ground Targets (다수의 대지표적을 위한 위협 평가 알고리즘)

  • Yoon, Moonhyung;Park, Junho;Yi, JeongHoon
    • The Journal of the Korea Contents Association
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    • v.18 no.7
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    • pp.590-599
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    • 2018
  • As a basic information to implement the fire plan that dominates multiple targets effectively under the battle environment with limited resources, such a process is mandatory that gives a priority order to a target with the high level of threat by quantitatively computing the threat level of an individual target through the analysis on the target. However, the study has still remained in the initial level on an evaluation algorithm for the threat level of the ground target. Considering this fact, the present paper proposes the evaluation algorithm for the threat by multiple ground targets. The proposed algorithm has a core point to consider the type of target and protected asset to implement the computation of proximity; set the additional value based on the weights indicating the significance of weapon and protected asset; and compute the threat level of a target that considers the characteristics of the target. The evaluation and verification of performances have been implemented through the simulation and visualization of an algorithm proposed in the present paper. From the performance result, as the proposed algorithm has been able to perform effectively the threat assessment according to the weights indicating the significance of weapons and protected assets under diverse environments where weapons and protected assets are located, high utility and effect are expected when applied to an actual ground weapon system.

Design and Implementation of a Radar Beam Scheduler using iRTOS Real-time Operating System (iRTOS 실시간 운용체제를 이용한 레이타 빔스케쥴러 설계 및 구현)

  • 황용철;이철훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10c
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    • pp.62-64
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    • 2000
  • 레이다 빔 스케쥴러는 레이타의 전체적인 운용과 제어를 담당하는 레이다 통제기의 핵심기능으로서 레이다의 운용시간 및 송신 전력 등 한정된 가용 자원을 효율적으로 관리하기 위한 최적화 기법이 매우 중요하다. 본 논문은 충남대에서 개발한 실시간 운용체제인 iRTOS를 기반으로 하여 방위각 방향은 기계적 회전을 하고 고각 방향은 위상을 가변하여 다수의 위협 표적을 실시간으로 탐지하고 추적하는 회전형 3차원 위상배열 레이다에 적용 가능한 레이다 빔 스케쥴러의 구현 알고리즘에 관한 내용이다. 제안된 레이다 빔 스케쥴러는 우선 순위를 갖는 핵심적인 스케쥴링 태스크와 이를 보조하기 위한 다수의 기능 태스크를 정의하고 생성하였으며 태스크간 데이터 교환을 위하여 인터럽트 처리, 시간 관리, 세마포어 및 메시지 큐 등을 적용하였다. 레이다 빔 스케쥴러의 성능을 검증하기 위하여 다수의 모의 표적을 발생시켜 빔 스케쥴러의 상태와 성능을 확인하였으며, 자체 개발한 실시간 운용체제인 iRTOS를 이용하여 3차원 레이다 빔 스케쥴러를 구현할 수 있음을 확인하였다.

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