• Title/Summary/Keyword: 탐지/추적

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Artificial Intelligence-Based Harmful Birds Detection Control System (인공지능 기반 유해조류 탐지 관제 시스템)

  • Sim, Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.175-182
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    • 2021
  • The purpose of this paper is to develop a machine learning-based marine drone to prevent the farming from harmful birds such as ducks. Existing drones have been developed as marine drones to solve the problem of being lost if they collide with birds in the air or are in the sea. We designed a CNN-based learning algorithm to judge harmful birds that appear on the sea by maritime drones operating by autonomous driving. It is designed to transmit video to the control PC by connecting the Raspberry Pi to the camera for location recognition and tracking of harmful birds. After creating a map linked with the location GPS coordinates in advance at the mobile-based control center, the GPS location value for the location of the harmful bird is received and provided, so that a marine drone is dispatched to combat the harmful bird. A bird fighting drone system was designed and implemented.

Ocean Fog Detection Alarm System for Safe Ship Navigation (선박 안전항해를 위한 해무감지 경보 시스템)

  • Lee, Chang-young
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.485-490
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    • 2020
  • Recently, amid active research on domestic shipbuilding industry and IT convergence technology, with the development of satellite detection technology for ship safety operation, ships monitored the movement of ships with the mandatory long-range identification & tracking of vessels and automatic identification system. It is possible to help safe navigation, but it is necessary to develop safety device that alert the marine officer who rely on radar to correct conditions in case of weightlessness. Therefore, an ocean fog alarm system was developed to detect and inform using photo sensors. The fabricated ocean fog detect and alarm system consists of a small, low-power optical sensor transceiver and data sensing processing module. Through experiment, it is confirmed that the fabricated ocean fog detect and alarm system measure the corresponding concentration of ocean fog for fogless circumstance and fogbound circumstance, respectively. Furthermore, the fabricated system can control RPM of ship engine according to the concentration of ocean fog, and consequently, the fabricated system can be applied to assistant device for ship safety operation.

Classification of Service Types using Website Fingerprinting in Anonymous Encrypted Communication Networks (익명 암호통신 네트워크에서의 웹사이트 핑거프린팅을 활용한 서비스 유형 분류)

  • Koo, Dongyoung
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.4
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    • pp.127-132
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    • 2022
  • An anonymous encrypted communication networks that make it difficult to identify the trace of a user's access by passing through several virtual computers and/or networks, such as Tor, provides user and data privacy in the process of Internet communications. However, when it comes to abuse for inappropriate purposes, such as sharing of illegal contents, arms trade, etc. through such anonymous encrypted communication networks, it is difficult to detect and take appropriate countermeasures. In this paper, by extending the website fingerprinting technique that can identify access to a specific site even in anonymous encrypted communication, a method for specifying and classifying service types of websites for not only well-known sites but also unknown sites is proposed. This approach can be used to identify hidden sites that can be used for malicious purposes.

Electromagnetic Susceptibilty design of High-Speed Image Signal Processing Unit for Small Infrared Image Homing sensor (적외선 영상 호밍센서 고속 영상신호처리기의 전자기파 내성 설계)

  • Kim, Hong-Rak;Park, Jin-Ho;Kim, Kyoung-Il;Jeon, Hyo-won;Shin, Jung-Sub
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.27-33
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    • 2022
  • The small infrared image homing sensor is the eye of a guided weapon that has an infrared image sensor that identifies a target on the ground through day and night infrared image processing and searches, detects, and tracks the target. Inside the guided weapon since the power supply and communication line are used together with various components, the part against electromagnetic wave interference is very important. In particular, the effect of CE (Conducted Emission) through the power and communication lines connected by cables is very important. Through this method, it is possible to directly affect other components of the guided weapon. In this paper, the EMI filter and cable design for avoiding electromagnetic interference to the power input through the cable and the communication line are described. Also, the designed EMI filter is manufactured After the CE102 test of MIL-STD-461G, design satisfaction will be explained.

Implementation of VGPO/VGPI Velocity Deception Jamming Technique using Phase Sampled DRFM (위상 샘플방식 DRFM을 이용한 VGPO/VGPI 속도기만 재밍기법 구현)

  • Kim, Yo-Han;Moon, Byung-Jin;Hong, Sang-Guen;Sung, Ki-Min;Jeon, Young-Il;Na, In-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.7
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    • pp.955-961
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    • 2021
  • In modern warfare, the importance of electronic warfare, which carries out a mission that using radio wave to find out enemy information or to protect ally information, has increased. Radar jamming technique is one of the most representative techniques of EA(Electronic Attack), it disturbs and deceives enemy radar system in order to secure ally location information. Velocity deception jamming technique, which is one of the radar jamming techniques, generally operate against pulse-doppler radar which use doppler effect in order to track target's velocity and location. Velocity Deception Jamming Technique can be implemented using DRFM(Digital Radio Frequency Memory) that performs Frequency Modulation. In this paper, I describe implementation method of VGPO/VGPI(Velocity Gate Pull-Off/Pull-In) velocity deception jamming technique using phase-sampled DRFM, and verify the operation of VGPO/VGPI velocity deception jamming technique with board test under signal injection condition.

A study on the three-dimensional display of onboard training for Naval Combat System. (함정 전투체계 모의훈련 시나리오 3차원 전시방안 연구)

  • Lee, SuHoon;Ahn, JinSu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.62-65
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    • 2022
  • NCS(Naval Combat System) is a system that maximizes the combat effectiveness for the naval ships by providing track detection, tracking, thereat analysis, engagement, hit assessment and many other capabilities using ship integrated heterogeneous sensor and weapon systems. In order to achieve the purpose of the NCS, every crew is require to be proficient in the operation of NCS. In accordance with the goal, NCS provides a onboard training function, and the crew conducts system operation proficiency and teamwork training on the ship. Training instructors for control training should have a high standard of training environment control and monitoring capabilities, which need to be studied. This paper studies a 3D display method for visualizing the training situation of training instructors.

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Implementation of an alarm system with AI image processing to detect whether a helmet is worn or not and a fall accident (헬멧 착용 여부 및 쓰러짐 사고 감지를 위한 AI 영상처리와 알람 시스템의 구현)

  • Yong-Hwa Jo;Hyuek-Jae Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.3
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    • pp.150-159
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    • 2022
  • This paper presents an implementation of detecting whether a helmet is worn and there is a fall accident through individual image analysis in real-time from extracting the image objects of several workers active in the industrial field. In order to detect image objects of workers, YOLO, a deep learning-based computer vision model, was used, and for whether a helmet is worn or not, the extracted images with 5,000 different helmet learning data images were applied. For whether a fall accident occurred, the position of the head was checked using the Pose real-time body tracking algorithm of Mediapipe, and the movement speed was calculated to determine whether the person fell. In addition, to give reliability to the result of a falling accident, a method to infer the posture of an object by obtaining the size of YOLO's bounding box was proposed and implemented. Finally, Telegram API Bot and Firebase DB server were implemented for notification service to administrators.

Counter-Drone System Evaluation Framework induced by RMA Thinking Process (군사혁신(RMA) 사고과정을 적용한 대드론체계 평가 기준(안) 정립)

  • Sang-Keun Cho;In-keun Son;Ki-Won Kim;Kang-Il Seo;Kwonil Kim;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.277-281
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    • 2023
  • Recent aggressive threats by North Korea using small drones have heavily impacted on ROK(Republic of Korea) society and it seems to be agreed that counter-drone systems are required to protect our properties. ROK government has been investigating current counter-drone systems for national important facilities. However, there is no consensus standard to evaluate the systems. This paper is to propose a counter-drone system evaluation framework which is the outcome through RMA(Revolution in Military Affairs) thinking process. The RMA thinking process is currently well-implemented in ROK army to develop future military strategy. The proposed framework has 4 categories - threat analysis of North Korea small drones, convergence of detection, tracking and neutralizing systems, integrated operations and available experts and organization - which have corresponding criteria.

Development of a Web Platform System for Worker Protection using EEG Emotion Classification (뇌파 기반 감정 분류를 활용한 작업자 보호를 위한 웹 플랫폼 시스템 개발)

  • Ssang-Hee Seo
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.37-44
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    • 2023
  • As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

Statistical Characteristics of East Sea Mesoscale Eddies Detected, Tracked, and Grouped Using Satellite Altimeter Data from 1993 to 2017 (인공위성 고도계 자료(1993-2017년)를 이용하여 탐지‧추적‧분류한 동해 중규모 소용돌이의 통계적 특성)

  • LEE, KYUNGJAE;NAM, SUNGHYUN;KIM, YOUNG-GYU
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.24 no.2
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    • pp.267-281
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    • 2019
  • Energetic mesoscale eddies in the East Sea (ES) associated with strong mesoscale variability impacting circulation and environments were statistically characterized by analyzing satellite altimeter data collected during 1993-2017 and in-situ data obtained from four cruises conducted between 2015 and 2017. A total of 1,008 mesoscale eddies were detected, tracked, and identified and then classified into 27 groups characterized by mean lifetime (L, day), amplitude (H, m), radius (R, km), intensity per unit area (EI, $cm^2/s^2/km^2$), ellipticity (e), eddy kinetic energy (EKE, TJ), available potential energy (APE, TJ), and direction of movement. The center, boundary, and amplitude of mesoscale eddies identified from satellite altimeter data were compared to those from the in-situ observational data for the four cases, yielding uncertainties in the center position of 2-10 km, boundary position of 10-20 km, and amplitude of 0.6-5.9 cm. The mean L, H, R, EI, e, EKE, and APE of the ES mesoscale eddies during the total period are $95{\pm}104$ days, $3.5{\pm}1.5cm$, $39{\pm}6km$, $0.023{\pm}0.017cm^2/s^2/km^2$, $0.72{\pm}0.07$, $23{\pm}21TJ$, and $588{\pm}250TJ$, respectively. The ES mesoscale eddies tend to move following the mean surface current rather than propagating westward. The southern groups (south of the subpolar front) have a longer L, larger H, R, and higher EKE, APE; and stronger EI than those of the northern groups and tend to move a longer distance following surface currents. There are exceptions to the average characteristics, such as the quasi-stationary groups (the Wonsan Warm, Wonsan Cold, Western Japan Basin Warm, and Northern Subpolar Frontal Cold Eddy groups) and short-lived groups with a relatively larger H, higher EKE, and APE and stronger EI (the Yamato Coastal Warm, Central Yamato Warm, and Eastern Japan Basin Coastal Warm eddy groups). Small eddies in the northern ES hardly resolved using the satellite altimetry data only, were not identified here and discussed with potential over-estimations of the mean L, H, R, EI, EKE, and APE. This study suggests that the ES mesoscale eddies 1) include newly identified groups such as the Hokkaido and the Yamato Rise Warm Eddies in addition to relatively well-known groups (e.g., the Ulleung Warm and the Dok Cold Eddies); 2) have a shorter L; smaller H, R, and lower EKE; and stronger EI and higher APE than those of the global ocean, and move following surface currents rather than propagating westward; and 3) show large spatial inhomogeneity among groups.