• 제목/요약/키워드: underwater environment

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성형망 기반의 수중 다중매체 통신 네트워크와 단편화 기법 (Underwater Multi-media Communication Network based on Star Topology and a Fragmentation Technique)

  • 임동현;김승근;김창화
    • 한국멀티미디어학회논문지
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    • 제24권11호
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    • pp.1526-1537
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    • 2021
  • Due to the difference between the underwater communication environment and the terrestrial communication environment, the radio communication mainly used on the ground cannot be used in underwater. For this reason, in the underwater communication environment, various communication media such as acoustic waves, infrared rays, light and so on has been studied, but there exist several difficulties in operating them individually due to their physical limitations. The concept for overcoming these difficulties is the very underwater multi-media communication, a method to select a communication medium best suitable for the current underwater environment among underwater communication multimedia whenever there occurs underwater communication failure. In this paper, we present an underwater multi-media communication network based on star topology and a fragmentation and reassembly technique to solve the problems caused by the different MTU (Maximum Transmission Unit) sizes among different underwater communication media. We also present the estimations and analysis on processing times in each of fragmentation and reassembly and the total data amount for transmitting fragments in our proposed underwater multi-media communication network.

수중 환경 정보 DB 기반 준-정적 수중음향 채널 수중음향 탐지 효과도 분석 모의 도구 구현 (Effectiveness Analysis Tool for Underwater Acoustics Detection in Quasi-static Underwater Acoustics Channel based on Underwater Environmental Information DB)

  • 김장은;한동석
    • 전자공학회논문지
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    • 제52권10호
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    • pp.148-158
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    • 2015
  • 수중음향 채널환경에서 운영되는 검파시스템 성능분석은 실험의 제약으로 인해 모의 도구를 활용하여 시스템 성능을 결정한다. 본 논문은 수중음향 채널에 대한 탐지 효과도 분석을 위하여 수중환경 데이터베이스를 기반 수중음향 탐지 효과도 분석 모의 도구를 제안한다. 먼저, HYCOM 수중환경 데이터베이스 기반으로 수중 환경을 구축하고, 음선이론을 이용하여 수중음향 전달 경로/음압 계산을 통한 다중경로 지연 특성을 고려하였다. 또한, 실 환경에서 발생하는 수중 잡음 특성을 반영하기 위해 운용 주파수에 따른 수중청음기/수중음향 채널 잡음 특성인 열잡음/수중 주변 잡음을 적용하였다.

시뮬레이션 데이터와 Spherical Convolution을 통한 준 정적인 수중환경에서의 이동체 속도 및 각도 측정 (Measurement of Moving Object Velocity and Angle in a Quasi-Static Underwater Environment Through Simulation Data and Spherical Convolution)

  • 윤배근;김진현
    • 로봇학회논문지
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    • 제18권1호
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    • pp.53-58
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    • 2023
  • In general, in order to operate an autonomous underwater vehicle (AUV) in an underwater environment, a navigation system such as a Doppler Log (DVL) using a Doppler phenomenon of ultrasonic waves is used for speed and direction estimation. However, most of the ultrasonic sensors in underwater is large for long-distance sensing and the cost is very high. In this study, not only canal neuromast on the fish's lateral lines but also superficial neuromast are studied on the simulation to obtain pressure values for each pressure sensor, and the obtained pressure data is supervised using spherical CNN. To this end, through supervised learning using pressure data obtained from a pressure sensor attached to an underwater vehicle, we can estimate the speed and angle of the underwater vehicle in a quasi-static underwater environment and propose a method for a non-ultrasonic based navigation system.

수중 구조물 검사로봇의 기구학적 관계를 이용한 확장 칼만 필터 기반의 위치추정 (Extended Kalman Filter-based Localization with Kinematic Relationship of Underwater Structure Inspection Robots)

  • 허영진;이기현;김진현
    • 제어로봇시스템학회논문지
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    • 제19권4호
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    • pp.372-378
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    • 2013
  • In this paper, we research the localization problem of the crawler-type inspection robot for underwater structure which travels an outer wall of underwater structure. Since various factors of the underwater environment affect an encoder odometer, it is hard to localize robot itself using only on-board sensors. So in this research we used a depth sensor and an IMU to compensate odometer which has extreme error in the underwater environment through using Extended Kalman Filter(EKF) which is normally used in mobile robotics. To acquire valid measurements, we implemented precision sensor modeling after assuming specific situation that robot travels underwater structure. The depth sensor acquires a vertical position of robot and compensates one of the robot pose, and IMU is used to compensate a bearing. But horizontal position of robot can't be compensated by using only on-board sensors. So we proposed a localization algorithm which makes horizontal direction error bounded by using kinematics relationship. Also we implemented computer simulations and experiments in underwater environment to verify the algorithm performance.

수중 환경 소음 모델이 적용된 의사 스펙트럼 시간영역 법 합성환경 수중음향채널 모델링 및 시뮬레이션 (The Modeling and Simulation for Pseudospectral Time-Domain Method Synthetic Environment Underwater Acoustics Channel applied to Underwater Environment Noise Model)

  • 김장은;김동길;한동석
    • 한국시뮬레이션학회논문지
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    • 제25권3호
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    • pp.15-28
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    • 2016
  • 수중환경에서 운영되는 무기체계 획득을 위한 설계/개발을 진행하기 위해 수중음향채널 모델링 및 시뮬레이션을 통한 분석은 필수적이다. 일반적으로 수중음향채널 분석을 위해 사용되는 수중음향 전파 수치해석 모델은 음선이론 법, 정규방식 법, 포물선방정식 법, 파수적분 법이 있으나 다중 주파수 분석일 경우 유효성과 신호처리 및 분석에 제한적이다. 본 논문은 단일 및 다중 주파수 분석 및 신호처리 및 분석이 용이한 기존 의사 스펙트럼 시간영역 법 수중음향 수치해석 모델에 수중환경 소음 모델을 적용하여 실제 수중환경과 유사한 합성환경 수중음향채널을 모델링 하였다. 이렇게 구현된 합성환경 수중음향채널 모델의 유효성을 확인하기 위해 단일 주파수 신호 시나리오 4가지 다중 주파수 신호 시나리오 4가지 및 잠수함 기동에 따른 방사소음 분석 시나리오 시뮬레이션을 통해 의사 스펙트럼 시간영역 법 합성환경 수중음향채널 모델 유효성을 확인하였다.

합성환경 하에서의 수중운동체 HILS/MILS 구현 기법 연구 (A Study on Implementation of an Underwater Vehicle HILS/MILS System in Synthetic Environment)

  • 남경원
    • 한국군사과학기술학회지
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    • 제5권2호
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    • pp.132-148
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    • 2002
  • In this paper, development procedures of an Underwater Vehicle HILS/MILS System in SE(Synthetic Environment) are described. As this System is developed, we can obtain the more powerful tool which can be used to test and verify operational logics and algorithms of an Underwater Vehicle as well as its hardware in various tactical situations.

수중 소나 영상 학습 데이터의 왜곡 및 회전 Augmentation을 통한 딥러닝 기반의 마커 검출 성능에 관한 연구 (Study of Marker Detection Performance on Deep Learning via Distortion and Rotation Augmentation of Training Data on Underwater Sonar Image)

  • 이언호;이영준;최진우;이세진
    • 로봇학회논문지
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    • 제14권1호
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    • pp.14-21
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    • 2019
  • In the ground environment, mobile robot research uses sensors such as GPS and optical cameras to localize surrounding landmarks and to estimate the position of the robot. However, an underwater environment restricts the use of sensors such as optical cameras and GPS. Also, unlike the ground environment, it is difficult to make a continuous observation of landmarks for location estimation. So, in underwater research, artificial markers are installed to generate a strong and lasting landmark. When artificial markers are acquired with an underwater sonar sensor, different types of noise are caused in the underwater sonar image. This noise is one of the factors that reduces object detection performance. This paper aims to improve object detection performance through distortion and rotation augmentation of training data. Object detection is detected using a Faster R-CNN.

수중 센서 네트워크에서 수심, 수온, 염도를 고려한 환경에서 MDS를 이용한 위치인식 연구 (MDS-based Localization Reflecting Depth, Temperature, and Salinity of Ocean in Underwater Acoustic Sensor Networks(UWASNs))

  • 정희석;김은찬;양연모
    • 대한임베디드공학회논문지
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    • 제7권4호
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    • pp.187-191
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    • 2012
  • In these days, there are huge increases of concerning underwater acoustic sensor networks (UWASNs) to explore marine resources and to monitor climate change. To collect information from sensor nodes which are randomly deployed in underwater, Multi-Dimensional Scaling (MDS) based locating methods have been recently introduced, which consider sound speed to be constant in underwater. However, underwater sound speed tends to vary depending on underwater environment factors, such as depth, temperature, and salinity. In this paper, we propose a method considering environment factors, can influence upon sound speed in underwater, and introduce experimental setup which can follow up environmental factors.

Comparison of characteristics during backward walking according to various stride frequencies in underwater and ground environments

  • Kim, Heejoong;Chung, Yijung
    • Physical Therapy Rehabilitation Science
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    • 제7권2호
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    • pp.83-87
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    • 2018
  • Objective: The purpose of this study was to investigate the relationship between heart rate (HR), self-awareness of exercise intensity (rating of perceived exertion, RPE), and 5-meter walk test (5MWT) of persons affected by stroke during backward walking according to the preferred stride frequency (PSF), PSF+3 and PSF+6 conditions. Design: Cross-sectional study. Methods: A total of 11 persons with stroke (9 males, 2 females) participated voluntarily. All patients underwent backward walking under the PSF, PSF+3, and PSF+6 conditions in underwater and ground environments, and each condition was performed for 5 minutes. The HR, RPE, and walking speeds were measured during walking, and the measured values from underwater and ground environments were compared. Results: The HR and RPE in the ground environment were significantly increased (p<0.05), and although the 5MWT showed an increase in speed, it was not significant. The HR and RPE in the underwater environment were also significantly increased (p<0.05), however, although the 5MWT results was increased, it was not significant. The HR and RPE were significantly increased in the PSF+6 condition (p<0.05). Conclusions: The results of this study showed that backward gait training underwater can provide an appropriate exercise intensity for stroke survivors and suggests that exercises performed in an underwater environment is more effective compared to the ground environment.

Autonomous swimming technology for an AUV operating in the underwater jacket structure environment

  • Li, Ji-Hong;Park, Daegil;Ki, Geonhui
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권2호
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    • pp.679-687
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    • 2019
  • This paper presents the autonomous swimming technology developed for an Autonomous Underwater Vehicle (AUV) operating in the underwater jacket structure environment. To prevent the position divergence of the inertial navigation system constructed for the primary navigation solution for the vehicle, we've developed kinds of marker-recognition based underwater localization methods using both of optical and acoustic cameras. However, these two methods all require the artificial markers to be located near to the cameras mounted on the vehicle. Therefore, in the case of the vehicle far away from the structure where the markers are usually mounted on, we may need alternative position-aiding solution to guarantee the navigation accuracy. For this purpose, we develop a sonar image processing based underwater localization method using a Forward Looking Sonar (FLS) mounted in front of the vehicle. The primary purpose of this FLS is to detect the obstacles in front of the vehicle. According to the detected obstacle(s), we apply an Occupancy Grid Map (OGM) based path planning algorithm to derive an obstacle collision-free reference path. Experimental studies are carried out in the water tank and also in the Pohang Yeongilman port sea environment to demonstrate the effectiveness of the proposed autonomous swimming technology.