• Title/Summary/Keyword: 중복 데이터

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Visible Height Based Occlusion Area Detection in True Orthophoto Generation (엄밀 정사영상 제작을 위한 가시고도 기반의 폐색영역 탐지)

  • Youn, Junhee;Kim, Gi Hong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.3D
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    • pp.417-422
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    • 2008
  • With standard orthorectification algorithms, one can produce unacceptable structure duplication in the orthophoto due to the double projection. Because of the abrupt height differences, such structure duplication is a frequently occurred phenomenon in the dense urban area which includes multi-history buildings. Therefore, occlusion area detection especially for the urban area is a critical issue in generation of true orthophoto. This paper deals with occlusion area detection with visible height based approach from aerial imagery and LiDAR. In order to accomplish this, a grid format DSM is produced from the point clouds of LiDAR. Next, visible height based algorithm is proposed to detect the occlusion area for each camera exposure station with DSM. Finally, generation of true orthophoto is presented with DSM and previously produced occlusion maps. The proposed algorithms are applied in the Purdue campus, Indiana, USA.

A Study of Range Resolving Performance for Airborne Radar Based on Signal Processing and Tracking Algorithm (신호처리 및 추적 알고리즘을 고려한 항공기탑재 레이다 거리 분해 성능 검증)

  • Yeonhee Pak;Yong-min Kim
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.568-573
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    • 2023
  • Range resolution is the ability to distinguish different targets placed in same angular direction but at different distances from the radar. Normally, Range resolution requirement is defined as the width of transmitting pulse. The width of transmitting pulse does not mean the ability to distinguish two different targets. Range resolution performance to detect and track targets separately depends on the signal processing and tracking algorithm not only the width of transmitting pulse. This paper analyzes the processing steps in algorithms to affect the range resolution performance and verifies the results by roof-lab ground test using beacon signal. As a result, to track targets with the same angular position separately, it is desirable to have larger range difference than plot-track association test gate.

Acknowledgement Types and Bibliometric Characteristics of Library and Information Science Journal Articles (문헌정보학 학술지 논문의 사사표기 유형 구분과 계량서지적 특성 연구)

  • Yeonmi Jang;Jae Yun Lee
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.313-338
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    • 2024
  • In this study, we aimed to identify the types of acknowledgments in Korean LIS journal articles and to find out whether there are differences in the bibliometric characteristics of journal articles based on the types of acknowledgments. For the analysis, the acknowledgments, references, and citation counts of 2,143 articles published in four representative journals in the field of library and information science in Korea for nine years from 2013 to 2021 were obtained as data. We analyzed the contents of 1,433 acknowledgments in 1,311 articles (61.2% of all articles) to divide them into types and then examined the bibliometric characteristics of each type of article. The acknowledgment types were broadly divided into the 'ethics' type (avoiding duplicate publication) and 'thanks' type, which were further subdivided into 9 and 10 types, respectively. We examined the number of references, recency of references, and citations as bibliometric characteristics, and found that all of these characteristics differed between the types of acknowledgements.

Use of SNOMED CT to Represent Traditional Korean Medicine Concepts : A Semantic Characterization of Migraine-Related Concepts from Korean Medicine Clinical Practice Guideline (SNOMED CT를 활용한 한의약 개념 매핑 : 한의임상진료지침에서 도출된 편두통 관련 개념의 의미론적 표현)

  • Ahjung Byun;Hyeoun-Ae Park;Byung-Kwan Seo;EunYong Lee;Hyeoneui Kim
    • Journal of Society of Preventive Korean Medicine
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    • v.28 no.2
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    • pp.85-97
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    • 2024
  • 목적 : 본 연구는 한의약에서 사용하는 용어가 SNOMED CT로 매핑 가능한지 여부를 조사하고, 한의약 용어를 표현하기 위해 기존 SNOMED CT 온톨로지를 개선할 수 있는 방안을 제안하는 것을 목표로 하였다. 방법 : 선행 연구의 매핑 가이드라인에서 제시된 7단계 과정을 수정하여 활용하였다. 매핑의 목적 및 범위 정의, 용어 추출, 개념 추출, 매핑을 위한 소스 용어 작업, SNOMED CT 개념 검색, 매핑 관계 분류 및 매핑 검증의 과정을 수행하였다. 매핑의 목적은 한의약 임상 아이디어를 표현하는 표준 용어로서 SNOMED CT를 평가하는 것이고, 범위에는 편두통 환자 관리의 평가, 진단, 치료 및 예방을 포함하였다. 결과 : 총 546개의 용어가 추출되었다. 중복된 용어를 제거한 후, 271개의 개념이 SNOMED CT 매핑에 사용되었다. 이중 43.2%는 SNOMED CT 개념과 의미론적으로 동등하게 매핑되었고(117개 개념), 39.1%는 SNOMED CT 개념이 더 포괄적인 의미를 가지도록 매핑되었다(106개 개념). 상대적으로 포괄적인 의미를 가지는 SNOMED CT 개념에 매핑된 한의약 개념 106개 중 19개는 SNOMED CT 후조합을 이용하여 의미론적으로 동등하게 표현이 가능하였다. 나머지 17.7%의 한의약 개념은 SNOMED CT에 매핑할 수 없었다. 결론 : 본 연구는 한의약에서 사용되는 개념을 SNOMED CT에 매핑하여 한의약 용어를 표준화하였다. 연구 결과를 바탕으로, 한의약에서 사용되는 용어를 표준의료용어로 표현하기 위하여 SNOMED CT에 새로운 개념과 속성을 추가하는 것을 제안한다.

Development of Industry Demand-driven Employee Education Programs: Focusing on the Case of Bio-Healthcare Data Analysis Expert Training Courses (산업체 수요기반 맞춤형 임직원 교육 프로그램 개발: 바이오·헬스케어 데이터분석 전문가 양성과정 사례를 중심으로)

  • Hyungjin Lukas Kim;Jinyoung Han
    • Information Systems Review
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    • v.26 no.1
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    • pp.367-383
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    • 2024
  • Korea faces challenges in securing technical talent due to low birth rates and an aging population. To bridge labor market gaps, tailored education programs through universities are crucial. Although Program for Industrial needs-Matched Education (PRIME) encouraged developing industrial-university education courses, a few universities have the opportunities and the courses development is often depending on capability of a professor. Furthermore, administrative issues hinder progress. This study proposes streamlining administrative processes and leveraging technology to meet industry demands. Active collaboration between academia and industry can enhance education and benefit both employees and students.

The Effectiveness of Fiscal Policies for R&D Investment (R&D 투자 촉진을 위한 재정지원정책의 효과분석)

  • Song, Jong-Guk;Kim, Hyuk-Joon
    • Journal of Technology Innovation
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    • v.17 no.1
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    • pp.1-48
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    • 2009
  • Recently we have found some symptoms that R&D fiscal incentives might not work well what it has intended through the analysis of current statistics of firm's R&D data. Firstly, we found that the growth rate of R&D investment in private sector during the recent decade has been slowdown. The average of growth rate (real value) of R&D investment is 7.1% from 1998 to 2005, while it was 13.9% from 1980 to 1997. Secondly, the relative share of R&D investment of SME has been decreased to 21%('05) from 29%('01), even though the tax credit for SME has been more beneficial than large size firm, Thirdly, The R&D expenditure of large size firms (besides 3 leading firms) has not been increased since late of 1990s. We need to find some evidence whether fiscal incentives are effective in increasing firm's R&D investment. To analyse econometric model we use firm level unbalanced panel data for 4 years (from 2002 to 2005) derived from MOST database compiled from the annual survey, "Report on the Survey of Research and Development in Science and Technology". Also we use fixed effect model (Hausman test results accept fixed effect model with 1% of significant level) and estimate the model for all firms, large firms and SME respectively. We have following results from the analysis of econometric model. For large firm: i ) R&D investment responds elastically (1.20) to sales volume. ii) government R&D subsidy induces R&D investment (0.03) not so effectively. iii) Tax price elasticity is almost unity (-0.99). iv) For large firm tax incentive is more effective than R&D subsidy For SME: i ) Sales volume increase R&D investment of SME (0.043) not so effectively. ii ) government R&D subsidy is crowding out R&D investment of SME not seriously (-0.0079) iii) Tax price elasticity is very inelastic (-0.054) To compare with other studies, Koga(2003) has a similar result of tax price elasticity for Japanese firm (-1.0036), Hall((l992) has a unit tax price elasticity, Bloom et al. (2002) has $-0.354{\sim}-0.124$ in the short run. From the results of our analysis we recommend that government R&D subsidy has to focus on such an areas like basic research and public sector (defense, energy, health etc.) not overlapped private R&D sector. For SME government has to focus on establishing R&D infrastructure. To promote tax incentive policy, we need to strengthen the tax incentive scheme for large size firm's R&D investment. We recommend tax credit for large size film be extended to total volume of R&D investment.

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Textmining-Based Analysis for Duty and Knowledge structure of Vocational Counseling Service Industry (텍스트마이닝 기법을 통한 직업상담서비스산업의 직무 및 지식구조 분석)

  • Yook, Dong-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.366-376
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    • 2017
  • This study attempts to analyze the structure of the knowledge and duties of the vocational counseling service industry by using the text mining method and network analysis, which are methods of big data analysis. The subjects of the survey were vocational counseling, job placement and career change support, three fields in the unit elements of competence included in the National Competency Standards (NCS) which areproposed by the government. Although the analysis results of frequently used words showed that all three fields had independent duties, many were overlapping, such as counseling, examination, employment support, etc. for clients, job seekers, and others. The knowledge required by the employees of this field includes many new fields, such as start-up development, lifelong career consulting, job adaptation and culture conflict, besides the five subjects of vocational psychology, vocational counseling, labor market, job information, and law, which are included in the vocational counselor certification examination. Also, we suggested that the consultants adhere to emotional approaches, such as empathy, acceptance and attentiveness, and take a neutral stance. This study isvaluable in that it is the first attempt to objectively analyze the duties of the vocational counseling service field by big data analysis. In addition, it is also meaningful that we first confirmed the difference between the direction of government policy and the actual practice in the field.

Images Grouping Technology based on Camera Sensors for Efficient Stitching of Multiple Images (다수의 영상간 효율적인 스티칭을 위한 카메라 센서 정보 기반 영상 그룹핑 기술)

  • Im, Jiheon;Lee, Euisang;Kim, Hoejung;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.713-723
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    • 2017
  • Since the panoramic image can overcome the limitation of the viewing angle of the camera and have a wide field of view, it has been studied effectively in the fields of computer vision and stereo camera. In order to generate a panoramic image, stitching images taken by a plurality of general cameras instead of using a wide-angle camera, which is distorted, is widely used because it can reduce image distortion. The image stitching technique creates descriptors of feature points extracted from multiple images, compares the similarities of feature points, and links them together into one image. Each feature point has several hundreds of dimensions of information, and data processing time increases as more images are stitched. In particular, when a panorama is generated on the basis of an image photographed by a plurality of unspecified cameras with respect to an object, the extraction processing time of the overlapping feature points for similar images becomes longer. In this paper, we propose a preprocessing process to efficiently process stitching based on an image obtained from a number of unspecified cameras for one object or environment. In this way, the data processing time can be reduced by pre-grouping images based on camera sensor information and reducing the number of images to be stitched at one time. Later, stitching is done hierarchically to create one large panorama. Through the grouping preprocessing proposed in this paper, we confirmed that the stitching time for a large number of images is greatly reduced by experimental results.

Band Selection Using L2,1-norm Regression for Hyperspectral Target Detection (초분광 표적 탐지를 위한 L2,1-norm Regression 기반 밴드 선택 기법)

  • Kim, Joochang;Yang, Yukyung;Kim, Jun-Hyung;Kim, Junmo
    • Korean Journal of Remote Sensing
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    • v.33 no.5_1
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    • pp.455-467
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    • 2017
  • When performing target detection using hyperspectral imagery, a feature extraction process is necessary to solve the problem of redundancy of adjacent spectral bands and the problem of a large amount of calculation due to high dimensional data. This study proposes a new band selection method using the $L_{2,1}$-norm regression model to apply the feature selection technique in the machine learning field to the hyperspectral band selection. In order to analyze the performance of the proposed band selection technique, we collected the hyperspectral imagery and these were used to analyze the performance of target detection with band selection. The Adaptive Cosine Estimator (ACE) detection performance is maintained or improved when the number of bands is reduced from 164 to about 30 to 40 bands in the 350 nm to 2500 nm wavelength band. Experimental results show that the proposed band selection technique extracts bands that are effective for detection in hyperspectral images and can reduce the size of the data without reducing the performance, which can help improve the processing speed of real-time target detection system in the future.

Separate Factor Caching Scheme for Mobile Web Service (모바일 웹 서비스를 위한 요소분할 캐싱 기법)

  • Sim, Kun-Jung;Kang, Eui-Sun;Kim, Jong-Keun;Ko, Hee-Ae;Lim, Young-Hwan
    • The KIPS Transactions:PartD
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    • v.14D no.4 s.114
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    • pp.447-458
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    • 2007
  • The objective of this study is to provide faster mobile web service by improving performance of Contents Cache used for mobile web service in the existing Mobile Gate System. It was found that two elements existed in Mark-Up page transcoded by Contents Generator. One of the elements was dependent only on the requested DIDL page and Mark-Up type. The other was dependent on each of the requested DIDL page, Mark-Up type, size of mobile display 모바일 장치 to request service, type of images available and color depth count of the images available. The conventional Contents Cache saved the entire Mark-Up page to hold both of the two elements. This caused the problem where storage space was not effectively used because reusable elements were repetitively saved in cache memory domain due to change in one of the elements even though all the other elements were the same. As a result, a larger number of transcoded Mark-Up pages could not be saved in the same cache memory size. Therefore, in this study, Mark-Up pages transcoded by Contents Generator were divided into two elements and were separately saved. Also, in order to respond to the demand for replacing data in cache with new data, this study applied two algorithms of LFU and LRU. This study proposed the method to implement cache performance of faster speed by enabling to save more number of the transcoded Mark-Up pages in the same cache storage space.