• Title/Summary/Keyword: Target Technology

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A study on the design of the transmitter-receiver of fuze sensor for discriminating target position (표적위치식별 신관센서 송수신장치 설계에 관한 연구)

  • 최재현
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.2
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    • pp.159-168
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    • 2002
  • In this paper, a study on the design of the transmitter-receiver of fuze sensor for discriminating target position is presented. We propose the algorithm for detecting target distance/direction through investigating the operational concept and principle of fuze sensor. Based on the algorithm, We design transmitter-receiver, calculate various design variables and estimate the performance of that one. The estimated result shows that the required performance of fuze sensor is satisfied. Further research on confirming the performance of proposed algorithm through encounter simulation test with real target and resolving problem will be continued.

I-V Characteristics of Negatively DC Pulsed Target in ECR Plasma for Landmine Detection (지뢰탐지를 위한 ECR 플라즈마에서 타깃에 고전압 DC 펄스 인가시 전압-전류 특성 분석)

  • Kim, Seong Bong;Lee, Hui Jea;Park, Seungil;Yoo, Suk Jae;Cho, Moohyun;Han, Seung-Hoon;Lim, Byeongok
    • Journal of the Korean institute of surface engineering
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    • v.47 no.1
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    • pp.53-56
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    • 2014
  • I-V characteristics of a cylindrical target in an ECR plasma were studied for sheath spatial evolutions when the target was pulsed biased to a high negative potential. The magnetic field effects on sheath thickness and sheath boundary speed were investigated by comparison between the experimental results and the theoretical results using the Child-Langmuir sheath model. The results showed that the magnetic field suppressed electron motion away from the target so that sheath thickness and sheath boundary speed decreased.

Experimental Verification of Multi-Sensor Geolocation Algorithm using Sequential Kalman Filter (순차적 칼만 필터를 적용한 다중센서 위치추정 알고리즘 실험적 검증)

  • Lee, Seongheon;Kim, Youngjoo;Bang, Hyochoong
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.1
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    • pp.7-13
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    • 2015
  • Unmanned air vehicles (UAVs) are getting popular not only as a private usage for the aerial photograph but military usage for the surveillance, reconnaissance and supply missions. For an UAV to successfully achieve these kind of missions, geolocation (localization) must be implied to track an interested target or fly by reference. In this research, we adopted multi-sensor fusion (MSF) algorithm to increase the accuracy of the geolocation and verified the algorithm using two multicopter UAVs. One UAV is equipped with an optical camera, and another UAV is equipped with an optical camera and a laser range finder. Throughout the experiment, we have obtained measurements about a fixed ground target and estimated the target position by a series of coordinate transformations and sequential Kalman filter. The result showed that the MSF has better performance in estimating target location than the case of using single sensor. Moreover, the experimental result implied that multi-sensor geolocation algorithm is able to have further improvements in localization accuracy and feasibility of other complicated applications such as moving target tracking and multiple target tracking.

Sputtering Growth of ZnO Thin-Film Transistor Using Zn Target (Zn 타겟을 이용한 ZnO 박막트랜지스터의 스퍼터링 성장)

  • Yu, Meng;Jo, Jungyol
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.3
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    • pp.35-38
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    • 2014
  • Flat panel displays fabricated on glass substrate use amorphous Si for data processing circuit. Recent progress in display technology requires a new material to replace the amorphous Si, and ZnO is a good candidate. ZnO is a wide bandgap (3.3 eV) semiconductor with high mobility and good optical transparency. ZnO is usually grown by sputtering using ZnO ceramic target. However, ceramic target is more expensive than metal target, and making large area target is very difficult. In this work we studied characteristics of ZnO thin-film transistor grown by rf sputtering using Zn metal target and $CO_2$. ZnO film was grown at $450^{\circ}C$ substrate temperature, with -70 V substrate bias voltage applied. By using these methods, our ZnO TFT showed $5.2cm^2/Vsec$ mobility, $3{\times}10^6$ on-off ratio, and -7 V threshold voltage.

Hierarchical Lazy Greedy Algorithm for Weapon Target Assignment (무기할당을 위한 계층적 레이지 그리디 알고리즘)

  • Jeong, Hyesun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.4
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    • pp.381-388
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    • 2020
  • Weapon target assignment problem is an essential technology for automating the operator's rapid decision-making support in a battlefield situation. Weapon target assignment problem is a kind of the optimization problem that can build up an objective function by maximizing the number of threat target destructed or maximizing the survival rate of the protected assets. Weapon target assignment problem is known as the NP-Complete, and various studies have been conducted on it. Among them, a greedy heuristic algorithm which guarantees (1-1/e) approximation has been considered a very practical method in order to enhance the applicability of the real weapon system. In this paper, we formulated the weapon target assignment problem for supporting decision-making at the level of artillery. The lazy strategy based on hierarchical structure is proposed to accelerate the greedy algorithm. By experimental results, we show that our algorithm is more efficient in processing time and support the same level of the objective function value with the basic greedy algorithm.

Determination of the number of 235U target nuclei in the irregular target using a fission time projection chamber

  • Jiajun Zhang;Jun Xiao;Junjie Sun;Mingzhi Zhang;Taiping Peng;Pu Zheng
    • Nuclear Engineering and Technology
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    • v.56 no.2
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    • pp.444-450
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    • 2024
  • Based on multiple measurements of ionization loss, the Time Projection Chamber (TPC) combines strong tracking ability with particle identification ability in a large momentum range, which is an important advantage of TPC detection technology over traditional ionization measurement technology. According to these two characteristics of TPC, applying it to the measurement of fission cross-section can greatly improve the measurement accuracy. During the measurement of the fission cross-section, the number of target nuclei is required to be accurately measured. So this paper introduces a method for measuring the number of 235U target nuclei using a fission TPC system. The measurement result agrees with the reference value, and relative error is around 1 %.

Drone Detection with Chirp-Pulse Radar Based on Target Fluctuation Models

  • Kim, Byung-Kwan;Park, Junhyeong;Park, Seong-Jin;Kim, Tae-Wan;Jung, Dae-Hwan;Kim, Do-Hoon;Kim, Taihyung;Park, Seong-Ook
    • ETRI Journal
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    • v.40 no.2
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    • pp.188-196
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    • 2018
  • This paper presents a pulse radar system to detect drones based on a target fluctuation model, specifically the Swerling target model. Because drones are small atypical objects and are mainly composed of non-conducting materials, their radar cross-section value is low and fluctuating. Therefore, determining the target fluctuation model and applying a proper integration method are important. The proposed system is herein experimentally verified and the results are discussed. A prototype design of the pulse radar system is based on radar equations. It adopts three different pulse modes and a coherent pulse integration to ensure a high signal-to-noise ratio. Outdoor measurements are performed with a prototype radar system to detect Doppler frequencies from both the drone frame and blades. The results indicate that the drone frame and blades are detected within an instrumental maximum range. Additionally, the results show that the drone's frame and blades are close to the Swerling 3 and 4 target models, respectively. By the analysis of the Swerling target models, proper integration methods for detecting drones are verified and can thus contribute to increasing in detectability.

Drug Target Identification and Elucidation of Natural Inhibitors for Bordetella petrii: An In Silico Study

  • Rath, Surya Narayan;Ray, Manisha;Pattnaik, Animesh;Pradhan, Sukanta Kumar
    • Genomics & Informatics
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    • v.14 no.4
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    • pp.241-254
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    • 2016
  • Environmental microbes like Bordetella petrii has been established as a causative agent for various infectious diseases in human. Again, development of drug resistance in B. petrii challenged to combat against the infection. Identification of potential drug target and proposing a novel lead compound against the pathogen has a great aid and value. In this study, bioinformatics tools and technology have been applied to suggest a potential drug target by screening the proteome information of B. petrii DSM 12804 (accession No. PRJNA28135) from genome database of National Centre for Biotechnology information. In this regards, the inhibitory effect of nine natural compounds like ajoene (Allium sativum), allicin (A. sativum), cinnamaldehyde (Cinnamomum cassia), curcumin (Curcuma longa), gallotannin (active component of green tea and red wine), isoorientin (Anthopterus wardii), isovitexin (A. wardii), neral (Melissa officinalis), and vitexin (A. wardii) have been acknowledged with anti-bacterial properties and hence tested against identified drug target of B. petrii by implicating computational approach. The in silico studies revealed the hypothesis that lpxD could be a potential drug target and with recommendation of a strong inhibitory effect of selected natural compounds against infection caused due to B. petrii, would be further validated through in vitro experiments.

Carbamoyl-phosphate synthetase 2 is identified as a novel target protein of methotrexate from chemical proteomics

  • Kim, Eui-Kyung;Park, Jong-Bae;Ha, Sang-Hoon;Ryu, Sung-Ho;Suh, Pann-Ghill
    • Environmental Mutagens and Carcinogens
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    • v.22 no.4
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    • pp.236-242
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    • 2002
  • Using agarose-coupled methotrexate, we have successfully isolated two proteins, which have strong interactions with methotrexate. The two proteins were analyzed by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and identified as carbamoyl-phosphate synthetase 2 and phosphoribosylglycinamide formyltransferase, respectively. Interestingly, both of these two proteins are essential key enzymes in nucleotide biosynthetic pathways, like dihydrofolate reductase, a well-known methotrexate target. We confirmed the specificity of their interactions between methotrexate and two target proteins by the methods of competition binding assay, which were followed by western blotting using antibody against carbamoyl-phosphate synthetase 2 and phosphoribosylglycinamide formyltransferase, respectively. Moreover, we could observe that carbamoyl-phosphate synthetase 2 is overexpressed in methotrexate-resistant MOLT-3 cells comparing with control MOLT-3 cells. This result indicates that carbamoyl-phosphate synthetase 2 may be a novel target of methotrexate in cancer therapy. We propose that chemical proteomics can be a powerful technique to identify target proteins of a chemical.

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A Study on an Image-Based Target Tracking Controller using a Target States Estimator for Airborne Inertially Stabilized Systems (표적상태 추정기를 이용한 항공용 시선 안정화 장치의 영상기반 표적추적 제어기에 관한 연구)

  • Kim, Sungsu;Lee, Buhwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.5
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    • pp.703-710
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    • 2014
  • An Image-Based Target Tracker maintains LOS(Line Of Sight) to a target by controlling azimuth and elevation gimbals of an ISS(Inertially Stabilized System). Its controller produces the gimbals commands of the ISS using tracking errors provided by an image tracker. The control performance of the target tracker with PI controller generally used for tracking controller is limited because of bandwidth limitation by time delay yielded by image capture and processing of the image tracker. In this paper, tracking controller using target states estimator is proposed which can enhance the tracking performance under the highly dynamic maneuvering conditions of the ISS and the target. Simulation results show that the proposed method can improve the tracking performance than that with only PI controller.