• Title/Summary/Keyword: navigation analysis

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A Study on the Fog Detecting System Using Photo Sensor (광센서를 이용한 안개 탐지 시스템 연구)

  • No, Byeang-Su;Kim, Kab-Ki
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.19 no.6
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    • pp.643-648
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    • 2013
  • In this paper, we developed a system which can detect and can alarm about the sailing provocative climate by using a photo. The research on domestic shipbuilding industry and in IT fusion technology is under construction, but a reliable safety device which can alarm a sailor about the circumstances of the fog and rain during ship operation as soon as possible due to the constant state in domestic. In this paper, a compact, for system low-power transceiver and data processing equipment for sensing were developed, also a performance evaluation got accomplished with simulation analysis. In results, it is operating normally at least 32.36[dB] and maximum values f 89.20[dB] in the domestic, and 32.55 to 60.66[dB] in the outdoors.

Performance Comparison of Wave Information Retrieval Algorithms Based on 3D Image Analysis Using VTS Sensor (VTS 센서를 이용한 3D영상 분석에 기초한 파랑 정보 추출 알고리즘 성능 비교)

  • Ryu, Joong-seon;Lim, Dong-hee;Kim, Jin-soo;Lee, Byung-Gil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.519-526
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    • 2016
  • As marine accidents happen frequently, it is required to establish a marine traffic monitoring system, which is designed to improve the safety and efficiency of navigation in VTS (Vessel Traffic Service). For this aim, recently, X-band marine radar is used for extracting the sea surface information and, it is necessary to retrieve wave information correctly and provide for the safe and efficient movement of vessel traffic within the VTS area. In this paper, three different current estimation algorithms including the classical least-squares (LS) fitting, a modified iterative least-square fitting routine and a normalized scalar product of variable current velocities are compared with buoy data and then, the iterative least-square method is modified to estimate wave information by improving the initial current velocity. Through several simulations with radar signals, it is shown that the proposed method is effective in retrieving the wave information compared to the conventional methods.

Developing Facets for Fiction Retrieval Based on User-generated Book Tags (이용자 생성 도서정보 태그에 기반한 소설 검색의 패싯 유형 개발)

  • Shim, Jiyoung
    • Journal of the Korean Society for information Management
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    • v.37 no.2
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    • pp.225-249
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    • 2020
  • The purpose of this study is to identify and systematize various facet elements required by users in fiction search situations from book tags to improve the fiction search environment. Based on the Ranganathan's PMEST formula, the basic facet system of the fiction was defined as 1) the personality that forms the fiction material, 2) the content and external characteristics that compose the fiction, 3) the reader interaction with books, 4) spatial information related to fiction and reading activities, and 5) time information related to fiction and reading activities. Out of approximately 310,000 tags assigned to 7,174 fiction, 3,730 core tags were selected and content-analyzed. As a result, various attributes were systematized around the top 25 categories of the fiction facets. The results of this study can be applied to facet navigation of OPAC and fiction DB in the future.

Obstacle Recognition by 3D Feature Extraction for Mobile Robot Navigation in an Indoor Environment (복도환경에서의 이동로봇 주행을 위한 3차원 특징추출을 통한 장애물 인식)

  • Jin, Tae-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.9
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    • pp.1987-1992
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    • 2010
  • This paper deals with the method of using the three dimensional characteristic information to classify the front environment in travelling by using the images captured by a CCD camera equipped on a mobile robot. The images detected by the three dimensional characteristic information is divided into the part of obstacles, the part of corners, and th part of doorways in a corridor. In designing the travelling path of a mobile robot, these three situations are used as an important information in the obstacle avoidance and optimal path computing. So, this paper proposes the method of deciding the travelling direction of a mobile robot with using input images based upon the suggested algorithm by preprocessing, and verified the validity of the image information which are detected as obstacles by the analysis through neural network.

Molding Analysis for the Production of Large Sun Visors in Vehicles (차량용 대형 선바이저 생산을 위한 성형해석)

  • Park, Jong-Nam;Noh, Seung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.610-615
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    • 2016
  • Diverse accessories are used in automobiles, such as navigation systems, front and rear cameras, spoilers, and sun visors. Sun visors block sunlight so that drivers can drive safely with a better view, and they are used in many automobile designs. However, when large plastic products are manufactured using injection molding, there are many difficulties that develop, like weld lines, short shots, flow marks, imperfections, and distortion. In this study, a CAE simulation was conducted based on previous results to predict potential problems in the injection molding of large products. The flow characteristics up to complete charge for the melting resins were captured using a computer-aided engineering simulation. The temperature departure on the front part of a flow was about $10^{\circ}C$ and very stable. The practical ejecting time of the cold runner was about 70 seconds in the simulation. Finally, the capability of a suitable injection machine was calculated and recommended by prediction of the injection pressure and the die clamping force.

A Study for Traffic Forecasting Using Traffic Statistic Information (교통 통계 정보를 이용한 속도 패턴 예측에 관한 연구)

  • Choi, Bo-Seung;Kang, Hyun-Cheol;Lee, Seong-Keon;Han, Sang-Tae
    • The Korean Journal of Applied Statistics
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    • v.22 no.6
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    • pp.1177-1190
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    • 2009
  • The traffic operating speed is one of important information to measure a road capacity. When we supply the information of the road of high traffic by using navigation, offering the present traffic information and the forecasted future information are the outstanding functions to serve the more accurate expected times and intervals. In this study, we proposed the traffic speed forecasting model using the accumulated traffic speed data of the road and highway and forecasted the average speed for each the road and high interval and each time interval using Fourier transformation and time series regression model with trigonometrical function. We also propose the proper method of missing data imputation and treatment for the outliers to raise an accuracy of the traffic speed forecasting and the speed grouping method for which data have similar traffic speed pattern to increase an efficiency of analysis.

Performance Analysis of Assisted-Galileo Signal Acquisition Under Weak Signal Environment (약 신호 환경에서의 Assisted-Galileo 신호 획득 성능 분석)

  • Lim, Jeong-Min;Park, Ji-Won;Sung, Tae-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.7
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    • pp.646-652
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    • 2013
  • EU's Galileo project is a market-based GNSS (Global Navigation Satellite System) that is under development. It is expected that Galileo will provide the positioning services based on new technologies in 2020s. Because Galileo E1 signal for OS (Open Service) shares the same center frequency with GPS L1 C/A signal, CBOC (Composite Binary Offset Carrier) modulation scheme is used in the E1 signal to guarantee interoperability between two systems. With E1 signal consisting of a data channel and a pilot channel at the same frequency band, there exist several options in designing signal acquisition for Assisted-Galileo receivers. Furthermore, compared to SNR worksheet of Assisted-GPS, some factors should be examined in Assisted-Galileo due to different correlation profile and code length of E1 signal. This paper presents SNR worksheets of Galileo E1 signals in E1-B and E1-C channel. Three implementation losses that are quite different from GPS are mainly analyzed in establishing SNR worksheets. In the worksheet, hybrid long integration of 1.5s is considered to acquire weak signal less than -150dBm. Simulation results show that the final SNR of E1-B signal with -150dBm is 19.4dB and that of E1-C signal is 25.2dB. Comparison of relative computation shows that E1-B channel is more profitable to acquire the strongest signal in weak signal environment. With information from the first satellite signal acquisition, fast acquisition of the weak signal around -155dBm can be performed with E1-C signal in the subsequent satellites.

Exploration of Predictive Model for Learning Achievement of Behavior Log Using Machine Learning in Video-based Learning Environment (동영상 기반 학습 환경에서 머신러닝을 활용한 행동로그의 학업성취 예측 모형 탐색)

  • Lee, Jungeun;Kim, Dasom;Jo, Il-Hyun
    • The Journal of Korean Association of Computer Education
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    • v.23 no.2
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    • pp.53-64
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    • 2020
  • As online learning forms centered on video lectures become more common and constantly increasing, the video-based learning environment applying various educational methods is also changing and developing to enhance learning effectiveness. Learner's log data has emerged for measuring the effectiveness of education in the online learning environment, and various analysis methods of log data are important for learner's customized learning prescriptions. To this end, the study analyzed learner behavior data and predictions of achievement by machine learning in video-based learning environments. As a result, interactive behaviors such as video navigation and comment writing, and learner-led learning behaviors predicted achievement in common in each model. Based on the results, the study provided implications for the design of the video learning environment.

Implementation of the Azimuth Correction Device using Astronomical Observation (천측을 이용한 방위 보정 장치의 구현)

  • Lim, Jin-Kook;Yim, Jae-Hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.846-854
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    • 2017
  • In this paper, we proposed a method to reduce the error of compass by combining the ceiling technique used in the past with modern IT technology. We combined an encoder and the Azimuth Circle for applying an algorithm. The algorithm is able to calculate the true north by using astronomical observation. Finally, we implemented the embedded system possible to indicate various situations and perform calculations. As a result, it isn't only able to calculate the true north with an error of about $0.2^{\circ}$ but also takes less than 5 seconds. Originally, using astronomical observation requires more than 5minutes. So it is analyzed as convenient by solving the problem of taking lots of time. Especially, we present the tolerance less than $0.5^{\circ}$ by the analysis of the existing gyrocompass and the bearing standard of IMO. In conclusion, we clearly confirm that the results of this paper are possible to reduce the error of various compasses in a real world.

A Historical Analysis on the Limitation of Carriers' Liability (운송인(運送人)의 손해배상책임제한(損害賠償責任制限)에 관한 역사적(歷史的) 고찰(考察))

  • Oh, Soo-Geun
    • The Korean Journal of Air & Space Law and Policy
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    • v.5
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    • pp.171-205
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    • 1993
  • On the contrary to the general principle of private law, carriers' liability for passengers and cargo owners have been quantatively limited in some cases. The author traces the rule of liability limitation in the law of Korea and United States to verify two hypotheses. The first hypothesis is that the rule of liability limitation has been introduced to motivate investment when new technology with high risk has been adopted in business. The second hypothesis is that the rule of liability limitation can be maintained only when damages have been fully compensated. The former is a necessary condition for liability limation, and the latter sufficient condition. There are strong evidences for the first hypothesis. Navigation or aviation, artificial satellite lauching, urban transportation system are good examples. The second hypothesis is supported by the fact that there have been continuous controversies on the Warsaw System, including the failure of ratification of Montreal Additional Protocols No.3 & 4 by the U.S. Senate and voluntary removal of liability limitation by the Japanese airline companies. Loss of cargo can be compensated fully, but damages from personal injury and death not. The value of human body and life is not easy to be estimated. Passengers, moreover, do not usually buy insurance for accidents in travel. Passengers do not accept insurance premium as the cost of being whole and alive. They do not accept accident rates realistically. They have no bargaining power in dealing with insurers. The rule of liability limitation in personal losses would not be supported in future because damages have not fully compensated.

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