• 한국음향학회지
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• 제18권6호
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• pp.31-37
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• 1999

본 논문은 근거리 음장 측정 자료로부터 원거리 음장 예측을 위한 기술에 대한 것이다. 음원의 음장 분포 특성은 원거리에서 측정된 자료의 해석으로 이루어지는 것이 일반적 방법이나, 음향수조 또는 무향실과 같은 제한된 공간에서는 근거리 영역에서 측정이 이루어지는 경우가 발생한다. 따라서 근거리 영역에서의 측정으로부터 원거리 음장이 예측되어야 한다. 이 경우 음원을 둘러싼 근거리 음장의 측정점수는 원거리 음장 예측치의 정확도와 자료 처리의 계산량과 상관된다. 기존 연구 결과는 최적측정점수는 음원의 kL에 비례하고 음원의 기하학적 형태 또는 지향특성에 따라 kL의 의존성이 다르게 나타난다고 되어 있으나 정확한 기준이 없다. 따라서 본 논문에서는 최적측정지점수에 대한 기준을 유도하기 위해 Helmholtz 적분식과 Green 함수를 근간으로 한 원거리 음장 예측 기술인 경계배치법(Boundary Collocation Method)을 분석하여 최적측정점수는 kL이 증가함에 따라 0.54kL로 수렴한다는 결과를 얻었다. 기존의 연구 결과 보다 최적측정점수를 1/2 정도로 줄였다.

• Agricultural and Biosystems Engineering
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• 제4권2호
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• pp.50-57
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• 2003

This study was conducted to develop software which provides automatic site-specific field data acquisition, data processing, data mapping and management for precision agriculture. The developed software supports acquisition and processing of both digital and analog data streams. The architecture was object-oriented and each component in the architecture was developed as a separate class. In precision agriculture research, the laborious task of manual ground-truth data collection will be avoided using the developed software. In addition, gathering high-density data eliminates the need for interpolation of values for un-sampled areas. This software shows good potential for expansion and compatibility for variable-rate-application (VRA). The FIM (Field Information Management) computer program provides the user with an easy-to-follow process for field information management for precision agriculture.

• 천문학회보
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• 제46권1호
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• pp.41.3-42
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• 2021

Conventional global magnetic field maps, such as daily updated synoptic maps, have been constructed by merging together a series of observations from the Earth's viewing direction taken over a 27-day solar rotation period to represent the full surface of the Sun. It has limitations to predict real-time farside magnetic fields, especially for rapid changes in magnetic fields by flux emergence or disappearance. Here, we construct accurate synchronic magnetic field maps using frontside and AI-generated farside data. To generate the farside data, we train and evaluate our deep learning model with frontside SDO observations. We use an improved version of Pix2PixHD with a new objective function and a new configuration of the model input data. We compute correlation coefficients between real magnetograms and AI-generated ones for test data sets. Then we demonstrate that our model better generate magnetic field distributions than before. We compare AI-generated farside data with those predicted by the magnetic flux transport model. Finally, we assimilate our AI-generated farside magnetograms into the flux transport model and show several successive global magnetic field data from our new methodology.

• Genomics & Informatics
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• 제17권4호
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• pp.44.1-44.3
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• 2019

Artificial intelligence (AI), big data, and ubiquitous robotic companions -the three most notable technologies of the 4th Industrial Revolution-are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions-the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge.

• 한국포장학회지
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• 제4권2호
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• pp.39-44
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• 1998

We used recording device(EDR-3) to monitor the packages and the vehicle during shipment. Provided we did this enough times, we began to gain statistically valid information which could be used to describe the particular channel of distribution. The event was obviously changed from trip to trip, but in general we could have an idea of what to expect. Considerable amount of time and money were invested to record field data. Although not ideal, it was the best suited approach to gain information regarding a specific distribution channel. Based on the recorded field data, we could make our own packaging vibration testing specification through MIL-STD-810D(Guidance for development of laboratory dynamic test specification). This test specification was proved several times through field tests. As a result, we gained confidence in this revised vibration specification and come to know the development procedures of a laboratory dynamic test specification.

• ETRI Journal
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• 제46권2호
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• pp.165-174
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• 2024

We propose a method to suppress the speckle noise and blur effects of the light field extracted from a hologram using a deep-learning technique. The light field can be extracted by bandpass filtering in the hologram's frequency domain. The extracted light field has reduced spatial resolution owing to the limited passband size of the bandpass filter and the blurring that occurs when the object is far from the hologram plane and also contains speckle noise caused by the random phase distribution of the three-dimensional object surface. These limitations degrade the reconstruction quality of the hologram resynthesized using the extracted light field. In the proposed method, a deep-learning model based on a generative adversarial network is designed to suppress speckle noise and blurring, resulting in improved quality of the light field extracted from the hologram. The model is trained using pairs of original two-dimensional images and their corresponding light-field data extracted from the complex field generated by the images. Validation of the proposed method is performed using light-field data extracted from holograms of objects with single and multiple depths and mesh-based computer-generated holograms.

• Wind and Structures
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• 제4권3호
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• pp.247-260
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• 2001

In the last three decades several comprehensive field measurement programs have produced significant insight into the wind effects on low-rise structures. The most notable and well published of these efforts are measurements being collected at the Wind Engineering Field Laboratory (WERFL) at Texas Tech University, measurements on low-rise structures in Silsoe, England and measurements on groups of low-rise structures collected in Aylesbury, England. Complementary to these efforts, an additional full-scale field investigation program has recently collected meteorological, pressure, strain and displacement data on a low-rise structure in Southern Shores, North Carolina. To date over seventy-five hundred data sets have been collected at the Southern Shores site in a variety meteorological conditions up to and including hurricane-force winds. This paper provides details of the system, its development, and preliminary assessment of its performance. A description of the field site, the instrumented structure, and the instrumentation system is provided. In addition, an example of the data collected during three hurricanes is presented. The primary goal of this paper is to provide the reader with the necessary technical details to appropriately interpret data from this experiment, which will be presented in future publications currently under development.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.242-242
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• 2002

The Earth's magnetic field acquired from KOMPSAT-1's TAM (Three-Axis Magnetometer) between June 19th and 21st 2000 was analyzed. The TAM, one of the KOMPSAT-1's Attitude and Orbit Control Subsystems, plays an important role in determining and controlling the satellite's attitude. This also can provide new insight on the Earth's magnetic field. By transforming the satellite coordinate from ECI to ECEF, spherical coordinate of total magnetic field was achieved. These data were grouped into dusk (ascending) and dawn (descending) data sets, based on their local magnetic times. This partitioning is essential for performing 1-D WCA (Wavenumber Correlation Analysis). Also, this enhances the perception of external fields in the Kompsat-1's TAM magnetic maps that were compiled according to different local. The dusk and dawn data are processed independently and then merged to produce a total field magnetic anomaly map. To extract static and dynamic components, the 1-D and 2-D WCAs were applied to the sub-parallel neighboring tracks and dawn-dusk data sets. The static components were compared with the IGRF, the global spherical harmonic magnetic field model. The static and dynamic components were analyzed in terms of corefield, external, and crustal signals based on their origins.

• 한국비블리아학회지
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• 제29권2호
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• pp.5-34
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• 2018

본 연구에서는 국제연구협력관련 모든 정보유형을 발굴하고 각 유형별로 정보를 수집하여 데이터베이스로 구축하고자 하였다. 이를 위해 연구진이 메타데이터를 일차적으로 개발하고 메타데이터 전문가들과의 논의과정을 거쳐 1차적으로 메타데이터를 개발하였으며, 이에 대해 국제연구협력 관련 전문가들을 대상으로 설문조사를 수행하였다. 뿐만 아니라 각 정보원 유형별 메타필드에 데이터를 수집하여 입력하였으며, 메타필드별로 실제 데이터가 존재하는지 등의 과정을 거쳐 메타필드를 검증하였다. 본 연구에서 설계한 DB 유형은 국제연구협력정보원 DB, 국제연구협력 사업 DB, 국제연구협력 전문가 DB, 국제연구협력 기관 DB, 국제기구 DB, 기타 DB 등이며, 이에 대해 설문조사를 수행하고 실제 데이터를 입력하여 필드를 검증한 결과, 설문조사 결과와 필드별 데이터 입력률은 상당히 높은 일치율을 보였다. 다만 국제기구 데이터 필드만은 이용자의 높은 중요도 평가에도 불구하고 10%이하의 데이터 입력률을 보이는 필드가 25% 정도 있는 것으로 확인되었다.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2007년도 춘계학술대회
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• pp.58-60
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• 2007

The availability of Information Technology in geological and engineering geological fields is rapidly increasing in Korea. Especially GIS-based hazard mapping is the most distinctive part to predict a possibility of landslide occurrence. Integrated expert system for tunnel construction is also practically used to manage investigated or designed data and to predict un-known underground geological condition. Computer-based field data acquisition tools are also one of the typical part using information technology including GIS combined with mobile phone in Geological field.