• Title/Summary/Keyword: Aiming

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Aiming Point Correction Technique for Ship-launched Anti-air Missiles Considering Ship Weaving Motion (함정거동을 고려한 대공방어용 함정 탑재 요격탄 조준점 보정 기법)

  • Hong, Ju-Hyeon;Park, Sanghyuk;Park, Sang-Sup;Ryoo, Chang-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.1
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    • pp.94-100
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    • 2014
  • In order to intercept anti-ship missiles, it is important to accurately predict the aiming point. The major factor for degrading the accuracy of the aiming point is the motions of the warships due to waves. Therefore, a stage of correcting the aiming point is required to compensate for such motions of warships. The proposed aiming point correction technique treats the changes in positions and velocity of naval guns by considering changes in the positions and velocities of the anti-ship missiles. In this paper, a ship motion estimation filter was also constructed to predict the motions of warships at the firing time of naval guns. In the simulation part, finally, the distance errors before and after aiming point corrections were compared through 6-DOF simulations.

Relationship between Aiming Patterns and Scores in Archery Shooting

  • Quan, ChengHao;Lee, Sangmin
    • Korean Journal of Applied Biomechanics
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    • v.26 no.4
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    • pp.353-360
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    • 2016
  • Objective: The aim of this study was to investigate the relationship between aiming patterns and scores in archery shooting. Method: Four (N = 4) elementary-level archers from middle school participated in this study. Aiming pattern was defined by averaged acceleration data measured from accelerometers attached on the body during the aiming phase in archery shooting. Stepwise multiple regression analysis was used to test whether a model incorporating aiming patterns from all nine accelerometers could predict the scores. In order to extract period of interest (POI) data from raw data, a Dynamic Time Warping (DTW)-based extraction method was presented. Results: Regression models for all four subjects are conducted with different significance levels and variables. The significance levels of the regression models are 0.12%, 1.61%, 0.55%, and 0.4% respectively; the $R^2$ of the regression models is 64.04%, 27.93%, 72.02%, and 45.62% respectively; and the maximum significance levels of parameters in the regression models are 1.26%, 4.58%, 5.1%, and 4.98% respectively. Conclusion: Our results indicated that the relationship between aiming patterns and scores was described by a regression model. Analysis of the significance levels, variables, and parameters of the regression model showed that our approach - regression analysis with DTW - is an effective way to raise scores in archery shooting.

Deep Learning Based Tank Aiming line Alignment System (딥러닝 기반 전차 조준선 정렬 시스템)

  • Jeong, Gyu-Been;Park, Jae-Hyo;Seok, Jong-Won
    • Journal of IKEEE
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    • v.25 no.2
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    • pp.285-290
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    • 2021
  • The existing aiming inspection use foreign-made aiming inspection equipment. However, the quantity is insufficient and the difficult to maintain. So it takes a lot of time to inspect the target. This system can reduces the time of aiming inspection and be maintained and distributed smoothly because it is a domestic product. In this paper, we develop a system that can detect targets and monitor shooting results through a target detection deep learning model. The system is capable of real-time detection of targets and has significantly increased the identification rate through several preprocessing of distant targets. In addition, a graphical user interface is configured to facilitate user camera manipulation and storage and management of training result data. Therefore the system can replace the currently used aiming inspection equipment and non-fire training.

Adaptive Disturbance Compensation Control for Heavy Load Target Aiming Systems to Improve Stabilization Performances (대부하 표적 지향시스템의 안정화 성능향상을 위한 외란보상 적응제어)

  • Lim, Jae-Keun;Choi, Young-Jun;Lyou, Joon;Seok, Ho-Dong;Kim, Byung-Un;Kang, Min-Sig
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.15 no.11 s.104
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    • pp.1303-1310
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    • 2005
  • Stabilization error of target aiming systems mounted on moving vehicles is an important performance because the error directly affects hit Probability. In a heavy load targetaiming system, the disturbance torque comes from mass unbalance and linear acceleration is a main source of stabilization error. This study suggests an experimental design method of disturbance feedforward compensation control to improve the stabilization performance of heavy load target aiming systems. The filtered_x least square(FxLMS) algorithm is used to estimate the compensator coefficients adaptively. The proposed control is applied to a simple experimental set-up which simulates dynamic characteristics of a real target aiming system. The feasibility of the proposedtechnique is illustrated, along with results of experiments.

A Method for Eliminating Aiming Error of Unguided Anti-Tank Rocket Using Improved Target Tracking (향상된 표적 추적 기법을 이용한 무유도 대전차 로켓의 조준 오차 제거 방법)

  • Song, Jin-Mo;Kim, Tae-Wan;Park, Tai-Sun;Do, Joo-Cheol;Bae, Jong-sue
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.1
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    • pp.47-60
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    • 2018
  • In this paper, we proposed a method for eliminating aiming error of unguided anti-tank rocket using improved target tracking. Since predicted fire is necessary to hit moving targets with unguided rockets, a method was proposed to estimate the position and velocity of target using fire control system. However, such a method has a problem that the hit rate may be lowered due to the aiming error of the shooter. In order to solve this problem, we used an image-based target tracking method to correct error caused by the shooter. We also proposed a robust tracking method based on TLD(Tracking Learning Detection) considering characteristics of the FCS(Fire Control System) devices. To verify the performance of our proposed algorithm, we measured the target velocity using GPS and compared it with our estimation. It is proved that our method is robust to shooter's aiming error.

Development of Heliostat Aiming Point Allocation Scheme in Heliostat Field Control Algorithm for 200kW Tower Type Solar Thermal Power Plant (200kW 탑형 태양열발전시스템을 위한 헬리오스타트 필드 운영 알고리즘의 헬리오스타트 반사목표점 할당 방안 개발)

  • Park, Young Chil
    • Journal of the Korean Solar Energy Society
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    • v.34 no.3
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    • pp.21-29
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    • 2014
  • Heliostat field control algorithm is the logics to operate the heliostat field of tower type solar thermal power plant and it could include various methodologies of how to control the heliostat field so as to optimize the energy collection efficiency as well as to reduce the system operating cost. This work, as the first part of the consecutive works, presents heliostat aiming mint allocation scheme which will be used in the heliostat field control algorithm for 200kW solar thermal power plant built in Daegu, Korea. We first discuss the structure of heliostat field control system required for the implementation of aiming scheme developed in this work. Then the methodologies to allocate the heliostat aiming points on the receiver are discussed. The simulated results show that the heliostat aiming point allocation scheme proposed in this work reduces the magnitude of peak heat flux on the receiver more than 40% from the case of which all the heliostats in the field aim at the center of receiver simultaneously. Also it shows that, when the proposed scheme is used, the degradation of heliostat field optical efficiency is relatively small from the maximal optical efficiency the heliostat field could have.

Dynamic Analysis of the Turret for Analyzing the Accuracy Impact Factor of the Ground Combat Vehicle (지상 전투차량의 명중률 영향요소 분석을 위한 포의 동역학 해석)

  • Song, Jaebok;Park, Kang
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.4
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    • pp.340-346
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    • 2014
  • There are many factors that contribute to hit probability of the gun shot of ground combat vehicles. Aiming accuracy is mainly affected by the dynamic state of the vehicle. The stabilization error of the turret under system vibration is one of the major factors that affect the aiming accuracy. The vibration of the vehicle is affected by both the state of the road and the speed of the vehicle. This paper analyzes the aiming accuracy of the gun equipped on the GCV when the vehicle drives on the different roads and at different speed. The vertical displacement and the pitch angle of the gun are calculated and the impact points of the target are calculated. Distribution of the impact points on the target is greatly influenced by the pitch rotation rather than vertical displacement. And this aiming errors result in the errors of point of impacts on the target after the bullet flies through the air under trajectory equations. The GCV is modeled using a half-car model with 6 D.O.F. and the specifications of the M2 machine gun are used in trajectory calculation simulation and the target is located in 1000 m away from the gun.

The Optimal Aiming Point that is Available in Shooting Game based a Bodily Sensation Type Arcade : Focused on Interactive Ride Gun (체감형 아케이드 기반 슈팅 게임에서 적용가능한 최적의 조준점 : 인터렉티브 라이드 건(Interactive Ride Gun)을 중심으로)

  • Choi, Yong-seok;Joo, Woo-seok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.531-532
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    • 2014
  • The visibility of the aiming point used in shooting game based on the present interactive gun ride is too low. This research tries to improve the visibility to apply the aiming point used in FPS(Fisrt Person Shooting) game to interactive gun shooting game in order to overcome the problem of an existing bodily sensation type arcade game. This research try to investigate the effective visibility through the experiment that 20's college students took part in. We identify the optimal aiming point from the results of this experiment. We will determine the compatability to use in the real commercial game to apply it to the ride based shooting game.

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Analysis of Self Loosening of Aiming Bolts in Vehicle Head Lamp (자동차 헤드램프 내의 에이밍 볼트의 풀림 해석 및 실험)

  • Moon, Ji-Seung;Baek, Hong;Park, Sang-Shin;Park, Jong-Myeong
    • Tribology and Lubricants
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    • v.35 no.1
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    • pp.65-70
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    • 2019
  • Self-loosening of bolts owing to external forces occurs in several machines that are clamped by bolts and nuts. This study focuses on the self-loosening of the aiming bolt of the head lamp in a vehicle. It is important to prevent the aiming bolt from self-loosening as it has a decisive effect on the angle of the head lamp. A nut clamped with a bolt, known as a retainer, is made of plastic and has a partial screw thread. In addition, a transverse load has a considerable impact on the self-loosening of a bolt. We concentrate on the self-loosening of a bolt by a transverse load. The aim of this study is to define the limits of the external force that loosen the bolt. Based on the above conditions, we derive a theoretical equation and develop a numerical analysis program that can calculate the limiting forces for self-loosening. To verify the developed program, we design a test device that can measure the self-loosening by applying sliding forces to the aiming bolt. Using this method, we can draw the following conclusions. First, the developed testing device is suitable to prove the theory for calculating the self-loosening force. Second, the equation confirms the relationship of bolt self-loosening between resistance torque and shear force. Finally, the equation obtains the minimum value of the resistance torque required to decrease the change in the angle of the head lamp, thereby improving the possibility of increasing the stability of the head lamp.