• Title/Summary/Keyword: 4D Development Operators

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Development of Real Time Vehicle Dynamics Models for Intelligent Vehicle HILS (지능형 차량 HILS를 위한 실시간 차량 동역학 모델 개발)

  • Lee, Chang-Ho;Kim, Sung-Soo;Jeong, Wan-Hee;Lee, Sun-Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.4
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    • pp.199-206
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    • 2006
  • Real time vehicle dynamics models have been developed with the subsystem synthesis method for intelligent vehicle HILS system. Three different models for solving subsystem equations are compared in order to find out the best suitable model for HILS applications. The first model is based on the generalized coordinate partitioning technique, and the second one is on the approximate function approach, and the last one is on the constraint stabilization method. To investigate the theoretical efficiency of three proposed methods, arithmetic operators used in the formulations of three models are counted. Bump run simulations with half-sine bump have also carried out with three different models to measure the actual CPU time to validate theoretical investigation.

Development of Computerized Densitometry for the Quantitative Analysis of Diffuse Retinal Nerve Fiber Layer Atrophy

  • Lee, J.S.;Park, K.S.;Yi, K.;Kim, D.M.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.146-149
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    • 1997
  • Computerized densitometry was developed or the quantitative measurement of diffuse retinal nerve fiber layer (RNFL) atrophy and intra- and inter-operator reliability and clinical validity of this system were evaluated. Vertical diameter, center of the optic disc, and peripapillary circles which had radii of 1.5 and 2.5 times that of the optic disc were user-interactively determined in digitized RNFL photograph and density profile along each circle was measured and normalized. The areas under the normalized density profiles of the superior and the inferior segments in both circle were used or the study of RNFL. To determine the variability and correspondence in the measurements of density variations, 21 RNFL photographs of glaucoma patients which showed varying degrees of atrophy underwent computerized densitometry by two operators on two separate occasions. Coefficient of variation in the densitometric measurements was $1.2{\sim}5.4%$. Intra- and inter-operator reliabilities were excellent. The correlations between the densitometric values and mean deviations of Humphrey C30-2 visual field showed statistical significance. Computerized densitometry of RNFL photographs was useful in the objective and quantitative assessment of diffuse RNFL atrophy.

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A Study on the Application of 3D Virtual Human in the prior stage of Design Works - With the emphasis on the determining design layout of a forklift truck (디자인 초기단계에서의 3차원 가상인간(Virtual Human) 활용에 관한 연구 - 지게차 레이아웃 결정 단계를 중심으로)

  • 김관명
    • Archives of design research
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    • v.12 no.4
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    • pp.294-303
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    • 1999
  • With the breakthrough development of computing environment, the design phases have been changed a lot nowadays. In the case of prior phases of transportation design such as cars and forklift-trucks design, designers have depended on surveys and 2D line drawings for fixing a product layout and extracting ergonomic data. In this method, designers don't meet only the problem of reliability of measuring data but also, the problems of unknown situation of operators' fatigue and comfort in work situation. In these methods, it has much less creditability to have a 2D human model to check the real world motion due to the limitation of the 3 Dimension. Even though with a 2D human model, perfect layout is determined, it is still difficult to measure about comfort and fatigue for a user because it measuring an analysing method is static. The development of computer hardware and software have not only changed the flow in the social-wide range but also immerged design into Virtual Environment. In conventional design method, visualization and data transferring have been the main issues but, in virtual environment, determining of design layout and analysing ergonomic data with sophisticated feeling about comfort and fatigue are possible by using 3D virtual human. In this study, the general characteristics of virtual environment was discussed and the possibility of digital process of design was treated. For these studies, layout design for forklift-trucks was tested. Eventually, the merits of each design phase applied virtual environment are discussed.

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Space Economy, Ecosystem Strategies for LEO 5G-NTN Space Communications (우주경제, LEO 5G-NTN 우주통신 생태계 전략)

  • Byungwoon Kim
    • Journal of Aerospace System Engineering
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    • v.17 no.4
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    • pp.58-66
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    • 2023
  • The latest global issues are the Space economy and low-orbit Space communication. 3GPP announced Release 17 standardization in June 2022, and in this regard, the United States prepared a strategy to enhance the competitiveness of the low-orbit 5G-NTN Space industry, and create an ecosystem at the national level in March 2023. Global smartphone semiconductor manufacturers have announced the development and verification results of standard-based chip technology, and satellite communication operators are launching low-orbit 5G-NTN Space communication services and rate products through convergence between terrestrial communication networks. This study diagnoses the current status of Korea's low-orbit 5G-NTN space communication ecosystem. We present our ecosystem creation strategy in terms of fair competition in the market, the service legal system, and the national R&D governance system.

Legal and Practical Issues in Parking Space Problems at the Port Hinterland(Distripark): A Case Study of Busan New Port (항만배후부지개발시 단지 내 주차난 해소를 위한 법률적.실무적 시사점 - 부산항 신항 배후부지의 사례를 중심으로 -)

  • Cho, Chanhyouk;Baik, Jongsil
    • Journal of Korea Port Economic Association
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    • v.28 no.4
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    • pp.99-120
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    • 2012
  • The ongoing development of Distriparks, the increase in workers inside the warehouses, and the growth in traffic volume have shifted the attention of the many D.C. operators on how to utilize their warehouse spaces more profitably and economically. A total of 550 cars and trucks are illegally parked at the distribution centers everyday. To meet these challenges, port authorities are looking closely at how they can establish effective countermeasures to solve this problem and satisfy customers of the Distripark. In order to answer these questions, this article sought to identity and analyze the current status of the illegal parking issues and main causes of that phenomena. In addition to summarizing an actual outcomes of the illegal parking problems, the research also examines the legal and practical countermeasures of this issues. Finally this research tries to find future solutions for ports in the Distripark development process, with particular reference to the legal and managerial aspects.

Implement of Search Cases of Environmental Data Based on Fuzzy Criteria for Development of Environmental Scenario Generator (환경 시나리오 발생기 개발을 위한 퍼지 논리 기반 환경 자료의 검색 사례 구현)

  • Park, Jongchul;Kim, Man-Kyu
    • Journal of the Korea Society for Simulation
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    • v.26 no.3
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    • pp.73-86
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    • 2017
  • Environmental data plays an important role to enhance the reliability of experimental results in M&S(Modeling and Simulation). Especially in Military M&S, extreme weather events can be used for virtual training and simulation importantly. However, the environmental data is huge and it is dispersed among multiple organizations. It is difficult for M&S operators to select the date and area where the weather phenomenon occurs in the real environmental data and to acquire them. Environmental data retrieval technology based on Fuzzy criteria is one of the important technologies for developing Environmental Scenario Generator. As a result of this study, a fuzzy retrieval algorithm composed of four main parameters(RV, MF, FRA, and MRV) was presented. This study suggests that the RV can be used as 14 m/s for wind speed and 80 mm/d for precipitation to search the date of storm accompanied by high wind. The MF, the FRA, and MRV can be used sigmoid, 0.2, and 1 respectively. The algorithm proposed in this study is expected to be very useful for searching the date on which weather phenomena necessary for simulation occurred.

Development of Plug-n-Play Automation System for Machine Tending through Digital Twin (디지털 트윈을 활용한 Plug-n-Play 머신텐딩 자동화 시스템 개발)

  • Park, Yong-Keun;Kim, Sujong;Um, Jumyung
    • The Journal of Society for e-Business Studies
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    • v.25 no.4
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    • pp.143-154
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    • 2020
  • With the increasing trend of making manufacturing system intelligent and autonomous, the introduction of robot-assist automation, like machine tending system for automated operation of CNC machine tools, is being actively carried out at many industrial sites. Most important part of this intelligent system to install machine tending system, is interface programming between the CNC machine tools and the industrial robot. Despite this importance, however, the machine tending system has many setup problems. it is necessary for difficult re-program of both controllers whenever a new CNC machine tool or robot is introduced. And, the helps of external engineers is required even though trivial changes due to the complex structure of the machine tending system. Authors of this paper introduces the integrated system of the interface between heterogeneous CNC machine tools and industrial robots. In addition, the digital twin implemented inside the machine tool controller enable shop-floor operators to change the interface programming easily. To implement this system, an integrated development environment for 1) an intelligent HMI platform that provide standardized interfaces to heterogeneous CNC machine tools and 2) a robot platform developing application software of various robots, was established. For easy un-tact environment, this paper explain the development of 3) a game-engine based web program of controlling and monitoring machine tending system remotely.

Development of Pre-Processing and Bias Correction Modules for AMSU-A Satellite Data in the KIAPS Observation Processing System (KIAPS 관측자료 처리시스템에서의 AMSU-A 위성자료 초기 전처리와 편향보정 모듈 개발)

  • Lee, Sihye;Kim, Ju-Hye;Kang, Jeon-Ho;Chun, Hyoung-Wook
    • Atmosphere
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    • v.23 no.4
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    • pp.453-470
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    • 2013
  • As a part of the KIAPS Observation Processing System (KOPS), we have developed the modules of satellite radiance data pre-processing and quality control, which include observation operators to interpolate model state variables into radiances in observation space. AMSU-A (Advanced Microwave Sounding Unit-A) level-1d radiance data have been extracted using the BUFR (Binary Universal Form for the Representation of meteorological data) decoder and a first guess has been calculated with RTTOV (Radiative Transfer for TIROS Operational Vertical Sounder) version 10.2. For initial quality checks, the pixels contaminated by large amounts of cloud liquid water, heavy precipitation, and sea ice have been removed. Channels for assimilation, rejection, or monitoring have been respectively selected for different surface types since the errors from the skin temperature are caused by inaccurate surface emissivity. Correcting the bias caused by errors in the instruments and radiative transfer model is crucial in radiance data pre-processing. We have developed bias correction modules in two steps based on 30-day innovation statistics (observed radiance minus background; O-B). The scan bias correction has been calculated individually for each channel, satellite, and scan position. Then a multiple linear regression of the scan-bias-corrected innovations with several predictors has been employed to correct the airmass bias.

Activities and Planning for KRS Coordinates Maintenance

  • Kang, Hee Won;Cho, Sunglyong;Kim, Heesung;Yun, Youngsun;Lee, ByungSeok
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.4
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    • pp.327-332
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    • 2022
  • The Korea Augmentation Satellite System (KASS) is the Satellite-Based Augmentation System (SBAS) under development in Korea. KASS navigation service support navigation Safety of Life (SoL) service. KASS signal provides corrections to Global Positioning System (GPS) data received from KASS Reference Stations (KRS) and is broadcast form Geostationary Earth Orbiting (GEO) satellites to KASS users and is used by GPS/SBAS user equipment to improve the accuracy, availability, continuity and integrity of the navigation solution. Seven KRS's collect the satellite data and send them to the KASS Processing Stations (KPS) for the generation of the corrections and the monitoring the integrity. For performing its computation the KPS needs to know accurate and reliable KRS antennas coordinates. These coordinates are provided as configuration parameters to the KPS. This means that the reference frame in which the KPS work is the one represented by the set of coordinates provided as input. Therefore, the activity to maintain the accuracy of the KRS antenna coordinates is necessary, knowing that coordinates can evolve due to earth plates movements or earthquakes. In this paper, we analyzed the geodetic survey results for KRS antenna coordinates from Site Acceptance Test (SAT) #1 in December 2020 to August 2022. In the future, it is expected that these activities and planning for KRS coordinates maintenance will be produced and provided to KASS system operators for KPS configuration updates during the KASS lifetime of 15 years. Through these maintenance activities, it is expected that monitoring and analysis of unpredictable events such as earthquakes and seism will be possible in the future.

A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model (AI모델을 적용한 군 경계체계 지능화 방안)

  • Changhee Han;Halim Ku;Pokki Park
    • Journal of Internet Computing and Services
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    • v.24 no.4
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    • pp.57-64
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    • 2023
  • The ROK military faces a significant challenge in its vigilance mission due to demographic problems, particularly the current aging population and population cliff. This study demonstrates the crucial role of the 4th industrial revolution and its core artificial intelligence algorithm in maximizing work efficiency within the Command&Control room by mechanizing simple tasks. To achieve a fully developed military surveillance system, we have chosen multi-object tracking (MOT) technology as an essential artificial intelligence component, aligning with our goal of an intelligent and automated surveillance system. Additionally, we have prioritized data visualization and user interface to ensure system accessibility and efficiency. These complementary elements come together to form a cohesive software application. The CCTV video data for this study was collected from the CCTV cameras installed at the 1st and 2nd main gates of the 00 unit, with the cooperation by Command&Control room. Experimental results indicate that an intelligent and automated surveillance system enables the delivery of more information to the operators in the room. However, it is important to acknowledge the limitations of the developed software system in this study. By highlighting these limitations, we can present the future direction for the development of military surveillance systems.