• Title/Summary/Keyword: Navigation Pattern

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Real-Time CoM/ZMP Trajectory Transformation Method for Humanoid Robots Considering Structure Characteristics (구조 특성을 반영한 인간형 로봇을 위한 실시간 CoM/ZMP 궤적 변환 방법)

  • Hong, Seok-Min
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.132-137
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    • 2017
  • This paper proposes a transformation method of the zero moment point (ZMP) and the center of mass (CoM) from one walking pattern to other patterns by considering the structure of a robot or walking situations in real time. In general, a humanoid robot has own structure characteristics like height and mass. The structure characteristics make the given CoM/ZMP walking pattern of one human or one humanoid robot to be difficult to apply to other robot directly. For this purpose, we analyze the characteristics of walking patterns according to the step length, duration of walking support phase and the CoM height by using the cart-table model as the simple humanoid robot model. A transformation equation is derived from the analyzation and it is verified with simulation.

The Performance Analysis of Beamforming Algorithm for Anti-Spoofing

  • Choi, Yun Sub;Lee, Sun Yong;Park, Chansik;Ahn, Byoung Sun;Won, Hyun Hee;Lee, Sang Jeong
    • Journal of Positioning, Navigation, and Timing
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    • v.5 no.3
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    • pp.131-136
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    • 2016
  • The present paper shows that beamforming algorithm such as Minimum Variance Distortionless Response (MVDR) based on array antenna signal processing can have not only anti-jamming but also anti-spoofing characteristics. A beam pattern due to the beamforming algorithm strengthens received signal power as it is formed in the incident direction of desired signal. During the process, the effect of unnecessary signals such as spoofing signals can be reduced because the beam pattern reduces received signal power in the incident directions excluding the beam pattern-directed direction. In order to analyze the anti-spoofing effect due to the beamforming algorithm, a software-based simulation environment was configured. An arbitrary error was applied between incident direction of Global Positioning System (GPS) satellite signal and steering vector direction of the beamforming algorithm to analyze the received signal power and required conditions were provided to see the anti-spoofing effect due to the beamforming algorithm. The used antenna was 7-element planar circular array and beam patterns were formed through the MVDR algorithm.

A Study on the User′s Pattern and Characteristics of Jeol-young Seaside Park (절영해안산책공원 이용객의 이용패턴과 특성에 관한 연구)

  • Lee, Myung-Kwan
    • Journal of Navigation and Port Research
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    • v.28 no.5
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    • pp.455-462
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    • 2004
  • Recently, according to the increase of personal income and enough time to spare. people demand the expansion of waterfront space in the city and the development of waterfront's possibility. In this study, which takes a place of the Jeol-young seaside park in young-do investigated for the user's pattern of seaside park located in coastal area And analyzed into user's attributes and a feeling of satisfaction The results of this study were as follows : 1) The Jeol-young seaside park is facilitated for taking a walk. It also tends to be preferred for the ocean view, jogging, relaxation, and so on 2) The Jeol-young seaside park has to be ensured with its safety and convenience of esplanade. In order to provide the user's high satisfaction, more facilities of expansion and parking area are demanded to be developed.

A Study on the Patterns of Ship Trajectory Arriving and Departing from Busan New Port (부산신항 입출항선박의 항적패턴에 관한 연구)

  • Hyeong-Tak Lee;Ik-Soon Cho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.147-148
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    • 2022
  • Recently, as a number of accidents occur while berthing ships, the need for safety measures for ship operation in ports is emphasized. In order to quantitatively analyze the contents of safety measures in Busan New Port, this study collected ship trajectory data,, and based on this data, applied a maritime artificial intelligence algorithm to analyze the trajectory pattern. As a result, the waypoint of the ship arriving and departing Busan New Port was derived and the operation pattern of the ship's speed and course was proposed.

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Analysis of Direction Finding, Interference Cancellation, and Beamforming Performance by Array Antenna Pattern Measurement Distance (배열안테나 패턴 측정 거리에 따른 방향탐지, 간섭제거, 빔형성 성능 분석)

  • Ko, Yo-han;Kang, Haeng-ik;Lee, Chul-soo;Kim, Do-kyung;Kim, Kap-jin;Park, Young-bum
    • Journal of Advanced Navigation Technology
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    • v.21 no.6
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    • pp.593-600
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    • 2017
  • This paper analyzes the performances of direction finding, interference cancellation, and beamforming performance by array antenna pattern measurement distance between the center of array antenna and reference emitter. Array antenna is widely adopted for example as wireless communications, radar, and sonar. In order to use array antenna, array antenna pattern must be known and it can be measured in anechoic chamber. However, the size of anechoic chamber is generally limited. So measurement error of array antenna can be occurred and this could effect performance decrease of direction finding, interference cancellation, and beamforming. It is verified by computer simulation that the performances of direction finding, interference cancellation, and beamforming by array antenna pattern measurement distance.

Study on UAV Flight Patterns and Simulation Modelling for UTM (저고도 무인기 교통관리 체계에서 무인기 비행패턴 분류 및 시뮬레이션 모형 개발)

  • Jung, Kyu-sur;Kim, Se-Yeon;Lee, Keum-Jin
    • Journal of Advanced Navigation Technology
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    • v.22 no.1
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    • pp.13-19
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    • 2018
  • In this paper, we classified a flight pattern of unmanned aerial vehicle(UAV) which will be operating in UTM system and analyzed its flight pattern by purpose of use. Flight patterns of UAV are sorted into three patterns which are circling, monitoring and delivery. We considered four cases of industry areas using UAV which are agriculture, infrastructure monitoring, public safety & security(p.s.s) and delivery. It is necessary to build a simulation model as a verification tool for applying the flight pattern according to the use of UAV to the real UTM system. Therefore, we propose the simulation model of UAV with updating states over time. We applied simulation to UAV monitoring flight pattern, and confirmed that the flight was done by the given input data. The simulation model will be used in the future to verify that the UAV has various flight patterns and can operate safely and efficiently for the intended use.

PCB Pattern Antenna of 920 MHz Band for Marine IoT Services (해양 IoT 서비스를 위한 920 MHz 대역의 PCB 패턴 안테나)

  • Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.23 no.5
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    • pp.430-436
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    • 2019
  • It is needed to develop an antenna with features of subminiature, light weight and multi-band operation for the variaty services in maritime and industrial fields. The PCB pattern antenna is one of the appropreiate antennas solving these requirements. In this research, the design and fabrication of the PCB pattern antenna operating on the single band of 920 MHz are investigated. The final goal is that the development of the dual band PCB pattern antenna operating on 260 MHz and 920 MHz, which is based on the proposed antenna. It is evident that the performance in the frequencies of 902 MHz, 915 MHz and 928 MHz among of 920 MHz ISM band is better than that in other frequencies. It is also confirmed that the differences of the voltage standing wave ratio, return loss, gain and efficiency between three frequencies are less than 5%. It is expected that the development of communication link of 5-10 km is possible when the induced results are applied into the low power wide area (LPWA) network desinged by the rule of -30 dB sensitivity.

Web Navigation Mining by Integrating Web Usage Data and Hyperlink Structures (웹 사용 데이타와 하이퍼링크 구조를 통합한 웹 네비게이션 마이닝)

  • Gu Heummo;Choi Joongmin
    • Journal of KIISE:Software and Applications
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    • v.32 no.5
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    • pp.416-427
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    • 2005
  • Web navigation mining is a method of discovering Web navigation patterns by analyzing the Web access log data. However, it is admitted that the log data contains noisy information that leads to the incorrect recognition of user navigation path on the Web's hyperlink structure. As a result, previous Web navigation mining systems that exploited solely the log data have not shown good performance in discovering correct Web navigation patterns efficiently, mainly due to the complex pre-processing procedure. To resolve this problem, this paper proposes a technique of amalgamating the Web's hyperlink structure information with the Web access log data to discover navigation patterns correctly and efficiently. Our implemented Web navigation mining system called SPMiner produces a WebTree from the hyperlink structure of a Web site that is used trl eliminate the possible noises in the Web log data caused by the user's abnormal navigational activities. SPMiner remarkably reduces the pre-processing overhead by using the structure of the Web, and as a result, it could analyze the user's search patterns efficiently.

Development of an Algorithm for Wearable sensor-based Situation Awareness Recognition System for Mariners (해양사고 절감을 위한 웨어러블 센서 기반 항해사 상황인지 인식 기법 개발)

  • Hwang, Taewoong;Youn, Ik-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.395-397
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    • 2019
  • Despite technical advance, human error is the main reason for maritime accidents. To ensure a safety of maritime transporting environment, technical and methodological improvement to react to various types of maritime accidents should be developed instead of ambiguously anticipating maritime accidents due to human errors. Survey, questionnaires, and interview have been routinely applied to understand objective human lookout pattern differences in various navigational situations. Although the descriptive methodology helps systematically categorizing different patterns of human behavior to avoid accidents, the subjective methods limit to objectively recognize physical behavior patterns during navigation. The purpose of the study is to develop an objective lookout pattern detection system using wearable sensors in the simulated navigation environment. In the simulated maritime navigation environment, each participant performed a given navigational situation by wearing the wearable sensors on the wrist, trunk, and head. Activity classification algorithm that was developed in the previous navigation activity classification research was applied. The physical lookout behavior patterns before and after situation-aware showed distinctive patterns, and the results are expected to reduce human errors of navigators.

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A Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines

  • Lee, Sang-Min;Kwon, Kyung-Yub;Joongseon Joh
    • International Journal of Control, Automation, and Systems
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    • v.2 no.2
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    • pp.171-181
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    • 2004
  • An autonomous navigation algorithm for marine vehicles is proposed in this paper using fuzzy logic under COLREG guidelines. The VFF (Virtual Force Field) method, which is widely used in the field of mobile robotics, is modified for application to the autonomous navigation of marine vehicles. This Modified Virtual Force Field (MVFF) method can be used in either track-keeping or collision avoidance modes. Moreover, the operator can select a track-keeping pattern mode in the proposed algorithm. The collision avoidance algorithm has the ability to handle static and/or moving obstacles. The fuzzy expert rules are designed deliberately under COLREG guidelines. An extensive simulation study is used to verify the proposed method.