• Title/Summary/Keyword: 궤적분석

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A Study on the User's Visual Trajectories for an Efficient Design of a Web site (웹사이트의 효율적 설계를 위한 사용자의 시각궤적에 관한 연구)

  • Ha, JongSoo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.356-359
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    • 2015
  • 본 연구는 웹사이트의 효율적이고 경험 디자인(User Experience Design : UX 디자인)적 설계가 가능하도록 사용자의 시각궤적을 통해 주시빈도를 확인한다. 사용자 경험치에 따라 웹 포털 사이트를 세 가지로 분류하고 와이어프레임을 제시하여 각 사이트의 화면분할과 정보영역을 분석한다. 시선추적 장치를 통해 세 가지 와이어프레임의 시각궤적 및 주시빈도를 확인하여 시선이 머무는 히트맵을 제시한다. 이를 통해 웹사이트의 디자인 설계시 페이지나 화면에 보이는 요소들의 효율적 배치를 위한 주시영역을 살펴본다.

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Target State Analysis Based on a Single Ping in Active Sonar (능동소나에서 단일 핑에의한 표적상태분석)

  • Kim, Jea-Soo
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.4
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    • pp.65-69
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    • 1996
  • In this paper, the techniques for target state analysis based on a single ping in the ocean environment are proposed and discussed. The first method utilizes the relationship between range and bearing in order to determine the aspect angle of target. The second method uses the Range-Doppler Map. The former method requires the multi-channel data, while the latter uses single channel data. It is concluded, from the simulation, that the target state analysis is quite possible and the techniques mentioned should be used simultaneously to get the improved results.

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Analysis of Delta-V of Earth-Moon Transfer Trajectories for Minimization of Fuel Consumption (연료 최소화를 위한 지구-달 천이궤적의 Delta-V 분석)

  • Kang, Sang-Wook;Ju, Gwang-Hyeok;Rew, Dong-Young;Lee, Sang-Ryool
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.1
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    • pp.69-77
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    • 2012
  • After lunar explorations were restarted in 1990s, the world space advanced countries have been competing actively to preoccupy the Moon from the 2000s. Korea has been also conducting precedent study on lunar exploration to carry out that by ourselves in 2020. This study analyzed delta-V of various Earth-Moon transfer trajectories for minimization of fuel consumption. Through the simulation, the best Earth-Moon transfer trajectory for Korean lunar mission is suggested and it will be used as useful materials of Korean lunar mission.

Design of Trajectory Data Indexing and Query Processing for Real-Time LBS in MapReduce Environments (MapReduce 환경에서의 실시간 LBS를 위한 이동궤적 데이터 색인 및 검색 시스템 설계)

  • Chung, Jaehwa
    • Journal of Digital Contents Society
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    • v.14 no.3
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    • pp.313-321
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    • 2013
  • In recent, proliferation of mobile smart devices have led to big-data era, the importance of location-based services is increasing due to the exponential growth of trajectory related data. In order to process trajectory data, parallel processing platforms such as cloud computing and MapReduce are necessary. Currently, the researches based on MapReduce are on progress, but due to the MapReduce's properties in using batch processing and simple key-value structure, applying MapReduce framework for real time LBS is difficult. Therefore, in this research we propose a suitable system design on efficient indexing and search techniques for real time service based on detailed analysis on the properties of MapReduce.

Efficient Range Query on Moving Object Trajectories (이동객체궤적에 대한 효율적인 범위질의)

  • Park, Young-Hee;Kim, Gyu-Jae;Cho, Woo-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.2
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    • pp.364-370
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    • 2014
  • The management and analysis of spatio-temporal and multimedia data is a hot issue in database research because such data types are handled in manny applications. Querying databases of such a content is very important for these applications. This paper addresses algorithms that make index structure by using Douglas-Peucker Algorithm and process range query efficiently on moving objects trajectories. We compare and analyze our algorithms and MBR by experiments. Our algorithms make smaller size of index structure and process more efficiently.

Extraction Method of Indoor Stay Point considering the Distribution of GPS Time Data (GPS 데이터 분포를 고려한 실내 Stay Point 추출 방법)

  • Park, Jin-Gwan;Choi, Sang-Gil;Baek, Jong-gil;Jeong, Min-A;Lee, Seong-Ro
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1196-1198
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    • 2015
  • 최근 모바일 기기의 발전으로 사용자의 위치를 수집하고 분석하는 방법들이 연구되고 있다. 이러한 방법들 중 하나인 궤적 데이터 마이닝은 사용자의 궤적을 바탕으로 의미 있는 정보를 추출하기 위해 사용된다. 궤적 데이터 마이닝을 수행하기 위해서는 사용자의 GPS로그를 분석하여 Stay Point를 추출하는 과정이 선행되어야 한다. 기존의 Stay Point 추출 방법은 실내와 실외의 Stay Point를 구분하지 못한다. 본 논문에서는 기존의 Stay Point 알고리즘을 보완하기 위해 GPS 데이터 분포를 고려하여 실내에서 머무른 지점만을 추출하는 Stay Point 알고리즘을 제안한다.

Heel Trajectory Analysis Method of Walking using a Wearable Sensor (착용형 센서를 이용한 보행 뒤꿈치 궤적 분석 방법)

  • Hee-Chan Kim;Hyun-Jin Choi
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.4
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    • pp.731-736
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    • 2023
  • Walking is a periodic motion that contains specific phases and is a basic movement method for humans. Through gait analysis, various musculoskeletal health conditions can be identified. In this study, we propose a calf wearable sensor system that can perform gait analysis without space limitations. Using a ToF(: Time-of-Flight) sensor that measures distance and an IMU(: Inertial Measurement Unit) sensor that measures inclination the heel trajectory of walking was derived by proposed method. In case of abnormal gait with risk of fall, gait is evaluated by analyzing the change pattern of the heel trajectory.

대전 지상국의 가시성을 고려한 달천이(TLI) 및 달포획(LOI) 기동의 달탐사 최적 궤적 설계

  • U, Jin;Song, Yeong-Ju;Park, Sang-Yeong;Choe, Gyu-Hong;Kim, Hae-Dong;Sim, Eun-Seop
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.40.2-40.2
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    • 2009
  • 이 연구에서는 달천이(TLI: Trans Lunar Injection) 및 달포획(LOI: Lunar Orbit Injection) 기동 시 대전 지상국의 가시성을 고려한 최적의 임무를 설계하였다. TLI 기동은 탐사선이 지구 주차궤도에서 지구-달 천이궤적으로 진입하기 위하여 주어지는 기동이며, LOI 기동은 탐사선이 지구-달 천이궤적에서 달의 중력권으로 진입하기 위하여 주어지는 기동이다. TLI 및 LOI 기동 시 대전 지상국에서의 가시성의 확보는 실제적인 미래 한국의 달 탐사를 대비하였을 때 중요한 요소이다. 따라서 이 연구에서는 TLI 및 LOI 기동 시 대전 지상국에서의 가시성을 모두 고려하여, 최소연료로 지구 주차궤도에서 달 임무궤도 진입까지의 모든 단계에 대해 임무설계를 실시하였다. TLI 및 LOI 기동 시 추력은 순간 추력(Impulsive thrust)로 가정하였으며, KSLV-II 발사체의 성능을 적용하여 설계하였다. 임무 설계 시 태양, 지구, 달의 섭동력을 고려한 N체 운동 방정식을 탐사선에 적용하였으며, 지구의 비대칭 중력장, 태양 복사압, 달의 J2 섭동에 의한 영향도 고려하였다. JPL의 정밀 천체력인 DE405를 사용하였고, 상용 소프트웨어인 SNOPT(Spares Nonlinear OPTimizer)를 이용하여 비행 궤적의 최적해를 도출하였다. 임무 설계 결과를 통해, 대전 지상국의 가시성을 고려한 TLI 및 LOI 기동의 크기에 의한 임무설계의 분석을 수행하였다. 또한 최적화된 달 탐사 임무의 단계별 기동의 크기와 지구-달 천이 궤적의 형상 및 다양한 임무 요소들의 해석을 도출하였다.

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Analysis Method for Speeding Risk Exposure using Mobility Trajectory Big Data (대용량 모빌리티 궤적 자료를 이용한 과속 위험노출도 분석 방법론)

  • Lee, Soongbong;Chang, Hyunho;Kang, Taeseok
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.655-666
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    • 2021
  • Purpose: This study is to develop a method for measuring dynamic speeding risks using vehicle trajectory big data and to demonstrate the feasibility of the devised speeding index. Method: The speed behaviors of vehicles were analysed in microscopic space and time using individual vehicle trajectories, and then the boundary condition of speeding (i.e., boundary speed) was determined from the standpoint of crash risk. A novel index for measuring the risk exposure of speeding was developed in microscopic space and time with the boundary speed. Result: A validation study was conducted with vehicle-GPS trajectory big data and ground-truth vehicle crash data. As a result of the analysis, it turned out that the index of speeding-risk exposure has a strong explanatory power (R2=0.7) for motorway traffic accidents. This directly indicates that speeding behaviors should be analysed at a microscopic spatiotemporal dimension. Conclusion: The spatial and temporal evolution of vehicle velocity is very variable. It is, hence, expected that the method presented in this study could be efficaciously employed to analyse the causal factors of traffic accidents and the crash risk exposure in microscopic space using mobility trajectory data.

Flight Trajectory Simulation via Reinforcement Learning in Virtual Environment (가상 환경에서의 강화학습을 이용한 비행궤적 시뮬레이션)

  • Lee, Jae-Hoon;Kim, Tae-Rim;Song, Jong-Gyu;Im, Hyun-Jae
    • Journal of the Korea Society for Simulation
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    • v.27 no.4
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    • pp.1-8
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    • 2018
  • The most common way to control a target point using artificial intelligence is through reinforcement learning. However, it had to process complicated calculations that were difficult to implement in order to process reinforcement learning. In this paper, the enhanced Proximal Policy Optimization (PPO) algorithm was used to simulate finding the planned flight trajectory to reach the target point in the virtual environment. In this paper, we simulated how this problem was used to find the planned flight trajectory to reach the target point in the virtual environment using the enhanced Proximal Policy Optimization(PPO) algorithm. In addition, variables such as changes in trajectory, effects of rewards, and external winds are added to determine the zero conditions of external environmental factors on flight trajectory learning, and the effects on trajectory learning performance and learning speed are compared. From this result, the simulation results have shown that the agent can find the optimal trajectory in spite of changes in the various external environments, which will be applicable to the actual vehicle.