• 제목/요약/키워드: Structure-mapping

검색결과 662건 처리시간 0.03초

Mineral Resources Potential Mapping using GIS-based Data Integration

  • Lee Hong-Jin;Chi Kwang-Hoon;Park Maeng-Eon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.662-663
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    • 2004
  • In general, mineral resources prospect is performed in several methods including geological survey, geological structure analysis, geochemical exploration, airborne geophysical exploration and remote sensing, but data collected through these methods are usually not integrated for analysis but used separately. Therefore we compared various data integration techniques and generated final mineral resources potentiality map.

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Density Functional Analysis of the Spin Exchange Interactions in VOSb2O4

  • Koo, Hyun-Joo
    • Bulletin of the Korean Chemical Society
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    • 제33권7호
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    • pp.2338-2340
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    • 2012
  • The spin exchange parameters of $VOSb_2O_4$ were evaluated by performing energy-mapping analysis based on density functional calculations. The spin exchange interaction between the nearest-neighbor $V^{4+}$ ions is strongly antiferromagnetic while other interactions are negligible. Thus, the magnetic structure of $VOSb_2O_4$ is best described by a spin-1/2 Heisenberg antiferromagnetic chain with no spin frustration.

The Mapping Method for Parallel Processing of SAR Data

  • In-Pyo Hong;Jae-Woo Joo;Han-Kyu Park
    • 한국통신학회논문지
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    • 제26권11A호
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    • pp.1963-1970
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    • 2001
  • It is essential design process to analyze processing method and set out top level HW configuration using main parameters before implementation of the SAR processor. This paper identifies the impact of the I/O and algorithm structure upon the parallel processing to be assessed and suggests the practical mapping method fur parallel processing to the SAR data. Also, simulation is performed to the E-SAR processor to examine the usefulness of the method, and the results are analyzed and discussed.

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다문화연구의 지식구조에 관한 네트워크 분석 (The Knowledge Structure of Multicultural Research Papers in Korea)

  • 장임숙;장덕현;이수상
    • 한국도서관정보학회지
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    • 제42권4호
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    • pp.353-374
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    • 2011
  • 본 연구는 한국 다문화 지식체계의 구조를 분석하는데 목적을 두고, 2005년부터 2010년까지 발행된 등재(후보) 학술지에 수록된 다문화분야의 논문에서 저자가 부여한 키워드를 중심으로 동시단어 네트워크를 생성하고 k-core분석을 수행한다. 먼저, 2010년까지 주요 학술지에 게재된 논문들을 중심으로 한국의 다문화 연구의 현황을 살펴보고, 다문화분야의 핵심 연구주제를 추출한다. 둘째, 다문화연구가 집중적으로 생산되기 시작한 2005년부터 2010년까지의 연구 논문을 대상으로 연도별 다문화 지식구조의 변화 추이를 분석한다. 셋째, 2005년부터 2010년까지 다문화연구가 활성화된 학문분야를 중심으로 분야별 핵심 주제와 다문화 지식구조의 특성을 비교분석한다.

무인 자동차를 위한 기하학적 특징 복셀을 이용하는 도시 환경의 구조물 인식 및 3차원 맵 생성 방법 (Geometrical Featured Voxel Based Urban Structure Recognition and 3-D Mapping for Unmanned Ground Vehicle)

  • 최윤근;심인욱;안승욱;정명진
    • 제어로봇시스템학회논문지
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    • 제17권5호
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    • pp.436-443
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    • 2011
  • Recognition of structures in urban environments is a fundamental ability for unmanned ground vehicles. In this paper we propose the geometrical featured voxel which has not only 3-D coordinates but also the type of geometrical properties of point cloud. Instead of dealing with a huge amount of point cloud collected by range sensors in urban, the proposed voxel can efficiently represent and save 3-D urban structures without loss of geometrical properties. We also provide an urban structure classification algorithm by using the proposed voxel and machine learning techniques. The proposed method enables to recognize urban environments around unmanned ground vehicles quickly. In order to evaluate an ability of the proposed map representation and the urban structure classification algorithm, our vehicle equipped with the sensor system collected range data and pose data in campus and experimental results have been shown in this paper.

빅데이터 분석을 통한 운전자 맞춤형 엔진 제어 장치 시스템의 개발 (Development of a Driver-Oriented Engine Control Unit (ECU)-Mapping System With BigData Analysis)

  • 김식;김정환
    • 대한임베디드공학회논문지
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    • 제12권4호
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    • pp.247-258
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    • 2017
  • Since 2016 when the regulations related to vehicle structure and device modification were drastically revised, the car tuning market has been growing rapidly. Particularly, many drivers are showing interest in changing the interior and exterior according to their preference, or improving the specifications of their cars by changing the engine and powertrain, among others. Also, as the initial engine settings such as horse power and torque of the vehicle are made for stable driving of the vehicle, it is possible to change the engine performance, via Engine Control Unit (ECU) mapping, to the driver's preference. However, traditionally, ECU mapping could be only performed by professional car engineers and the settings were also decided by them. Therefore, this study proposed a system that collects data related to the driver's driving habits for a certain period and sends them to a cloud server in order to analyze them and recommend ECU mapping values. The traditional mapping method only aimed to improve the car's performance and, therefore, if the changes were not compatible with the driver's driving habits, could cause problems such as incomplete combustion or low fuel efficiency. However, the proposed system allows drivers to set legally permitted ECU mapping based on analysis of their driving habits, and, therefore, different drivers can set it differently according to the vehicle specifications and driving habits. As a result, the system can optimize the car performance by improving output, fuel efficiency, etc. within the range that is legally permitted.

Analysis of Spin Exchange Interactions in (C2N2H10)[Fe(HPO3)F3] on the Basis of Electronic Structure Calculations

  • Koo, Hyun-Joo
    • Bulletin of the Korean Chemical Society
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    • 제32권2호
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    • pp.467-471
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    • 2011
  • Spin exchange interactions of $(C_2N_2H_{10})[Fe(HPO_3)F_3]$ were examined by performing a spin dimer analysis based on extended Huckel tight binding method and a mapping analysis based on first principles density functional theory. Spin exchange interactions occur through the super-superexchange paths $J_1$ and $J_2$ in $(C_2N_2H_{10})[Fe(HPO_3)F_3]$. In the super-superexchange path $J_2$ magnetic orbital interactions between eg-block levels are much stronger than those from $t_{2g}$-block levels. Both electronic structure calculations show that the spin exchange interaction through the super-superexchange path $J_2$ is much stronger than that of $J_1$.

The Design and Implementation of a TV Tuner for the Digital Terrestrial Broadcasting

  • Chong, Young-Jun;Kim, Jae-Young;Lee, Il-Kyoo;Choi, Jae-Ick;Oh, Seung-Hyeub
    • Journal of electromagnetic engineering and science
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    • 제1권2호
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    • pp.131-138
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    • 2001
  • The DTV (Digital TV) tuner for an 8-VSB (Vestigial Side-Band) modulation was developed to meet the requirements of the ATSC (Advanced Television Systems Committee). The double frequency conversion and the active tracking filter in the front-end were used to cancel interferences between adjacent channels and multi-channels by suppressing the IF beat and the Image frequency. However, It was impossible to get frequency mapping between the tracking filter and the first VCO (Voltage Controlled Oscillator) in the existing DTV tuner structure which differs from the NTSC (National Television Systems Committee) tuner. This paper, therefore, suggests an assailable structure and a new method for the automatic frequency selection by mapping the frequency characteristics over the tracking voltage and the combined HW which is composed of a Micro-controller, an EEPROM (Electrically Erasable Programmable Read Only Memory), a DAC (Digital-to-Analog Converter), an OP amplifier, and a switch driver.

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Modeling pediatric tumor risks in Florida with conditional autoregressive structures and identifying hot-spots

  • Kim, Bit;Lim, Chae Young
    • Journal of the Korean Data and Information Science Society
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    • 제27권5호
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    • pp.1225-1239
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    • 2016
  • We investigate pediatric tumor incidence data collected by the Florida Association for Pediatric Tumor program using various models commonly used in disease mapping analysis. Particularly, we consider Poisson normal models with various conditional autoregressive structure for spatial dependence, a zero-in ated component to capture excess zero counts and a spatio-temporal model to capture spatial and temporal dependence, together. We found that intrinsic conditional autoregressive model provides the smallest Deviance Information Criterion (DIC) among the models when only spatial dependence is considered. On the other hand, adding an autoregressive structure over time decreases DIC over the model without time dependence component. We adopt weighted ranks squared error loss to identify high risk regions which provides similar results with other researchers who have worked on the same data set (e.g. Zhang et al., 2014; Wang and Rodriguez, 2014). Our results, thus, provide additional statistical support on those identied high risk regions discovered by the other researchers.