• 제목/요약/키워드: small-scale data

검색결과 1,296건 처리시간 0.03초

Removing Large-scale Variations in Regularly and Irregularly Spaced Data

  • 조정연
    • 천문학회보
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    • 제44권1호
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    • pp.43.2-43.2
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    • 2019
  • In many astrophysical systems, smooth large-scale variations coexist with small-scale fluctuations. For example, a large-scale velocity or density gradient can exist in molecular clouds that have small-scale fluctuations by turbulence. In redshifted 21cm observations, we also have two types of signals - the Galactic foreground emissions that change smoothly and the redshifted 21cm signals that fluctuate fast in frequency space. In many cases, the large-scale variations make it difficult to extract information on small-scale fluctuations. We propose a simple technique to remove smooth large-scale variations. Our technique relies on multi-point structure functions and can obtain the magnitudes of small-scale fluctuations. It can also be used to design filters that can remove large-scale variations and retrieve small-scale data. We discuss how to apply our technique to irregularly spaced data, such as rotation measure observations toward extragalactic radio point sources.

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A Study on Korean Sentiment Analysis Rate Using Neural Network and Ensemble Combination

  • Sim, YuJeong;Moon, Seok-Jae;Lee, Jong-Youg
    • International Journal of Advanced Culture Technology
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    • 제9권4호
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    • pp.268-273
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    • 2021
  • In this paper, we propose a sentiment analysis model that improves performance on small-scale data. A sentiment analysis model for small-scale data is proposed and verified through experiments. To this end, we propose Bagging-Bi-GRU, which combines Bi-GRU, which learns GRU, which is a variant of LSTM (Long Short-Term Memory) with excellent performance on sequential data, in both directions and the bagging technique, which is one of the ensembles learning methods. In order to verify the performance of the proposed model, it is applied to small-scale data and large-scale data. And by comparing and analyzing it with the existing machine learning algorithm, Bi-GRU, it shows that the performance of the proposed model is improved not only for small data but also for large data.

인터넷 중독 자가진단 소형척도 개발 (Small diagnostic scale for internet addiction)

  • 오광식
    • Journal of the Korean Data and Information Science Society
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    • 제21권6호
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    • pp.1203-1209
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    • 2010
  • 한국정보화진흥원에서는 2002년 개발한 한국형 인터넷 중독 진단척도를 사용하여 인터넷 중독 실태를 매년 발표하고 예방을 위해 노력하고 있다. 그러나 인터넷사용이 급증함에 따라 정보화의 역기능도 증가하고 있으며 특히 인터넷 중독의 폐해가 우려되고 있는 실정이다. 본 연구에서는 인터넷 중독 자가진단 소형척도를 제안하고자한다. 대학생들을 대상으로 킴벌리영척도와 한국형진단척도를 적용하여 인터넷 중독을 진단한 자료를 분석한다. 두 척도의 신뢰성과 타당성을 검토한 결과 한국형진단척도에서 요인타당도가 있음으로, 이를 이용하여 소형척도를 개발한다. 요인타당도의 요인적재값과 변수선택법을 이용하여 선택한 소형척도들을 비교 분석한다. 분할표와 감마 연관성측도를 이용하여 소형척도와 기존의 척도들과의 일치성을 비교하고, 소형척도들의 신뢰성과 타당성을 조사한다.

High-Capacity and Robust Watermarking Scheme for Small-Scale Vector Data

  • Tong, Deyu;Zhu, Changqing;Ren, Na;Shi, Wenzhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권12호
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    • pp.6190-6213
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    • 2019
  • For small-scale vector data, restrictions on watermark scheme capacity and robustness limit the use of copyright protection. A watermarking scheme based on robust geometric features and capacity maximization strategy that simultaneously improves capacity and robustness is presented in this paper. The distance ratio and angle of adjacent vertices are chosen as the watermark domain due to their resistance to vertex and geometric attacks. Regarding watermark embedding and extraction, a capacity-improved strategy based on quantization index modulation, which divides more intervals to carry sufficient watermark bits, is proposed. By considering the error tolerance of the vector map and the numerical accuracy, the optimization of the capacity-improved strategy is studied to maximize the embedded watermark bits for each vertex. The experimental results demonstrated that the map distortion caused by watermarks is small and much lower than the map tolerance. Additionally, the proposed scheme can embed a copyright image of 1024 bits into vector data of 150 vertices, which reaches capacity at approximately 14 bits/vertex, and shows prominent robustness against vertex and geometric attacks for small-scale vector data.

창업 중소.벤처기업의 초기자금 규모 설정에 관한 연구 (A Study on the Early-Stage Financing Scale for Building Small & Medium Business)

  • 황보윤
    • 한국벤처창업학회:학술대회논문집
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    • 한국벤처창업학회 2006년도 추계학술발표회
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    • pp.275-299
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    • 2006
  • This study aims at examining the early-stage financing scale for entrepreneur to build small & medium business. The data was collected from the DART (Data Analysis, Retrieval and Transfer System) of Korean Financial Supervisory Service(FSS) in the main. The results of this study show that small & medium business needs equipment & operation financing for about 37 months extent to reach Break-Even Point. The limitations of this study are data collections from registered firms on Korean FSS primarily and no showing about the early stage financing scale for building small & Medium Business concretely. Small & Medium business entrepreneur have to make a early stage finance plan according to a necessary equipment and operating cost in their business field for 37 months extent.

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A hybrid inverse method for small scale parameter estimation of FG nanobeams

  • Darabi, A.;Vosoughi, Ali R.
    • Steel and Composite Structures
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    • 제20권5호
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    • pp.1119-1131
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    • 2016
  • As a first attempt, an inverse hybrid numerical method for small scale parameter estimation of functionally graded (FG) nanobeams using measured frequencies is presented. The governing equations are obtained with the Eringen's nonlocal elasticity assumptions and the first-order shear deformation theory (FSDT). The equations are discretized by using the differential quadrature method (DQM). The discretized equations are transferred from temporal domain to frequency domain and frequencies of the nanobeam are obtained. By applying random error to these frequencies, measured frequencies are generated. The measured frequencies are considered as input data and inversely, the small scale parameter of the beam is obtained by minimizing a defined functional. The functional is defined as root mean square error between the measured frequencies and calculated frequencies by the DQM. Then, the conjugate gradient (CG) optimization method is employed to minimize the functional and the small scale parameter is obtained. Efficiency, convergence and accuracy of the presented hybrid method for small scale parameter estimation of the beams for different applied random error, boundary conditions, length-to-thickness ratio and volume fraction coefficients are demonstrated.

국내 소규모 건설현장의 전기설비 및 작업환경 분석 (Analysis of Electrical Equipment and Work Environment for Domestic Small-Scale Construction Site)

  • 김두현;황동규;김성철;강신욱;최상원
    • 한국안전학회지
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    • 제29권4호
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    • pp.42-47
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    • 2014
  • This paper is aimed to investigate and analyze of characteristic for electrical equipment and work environment for the small-scale site. In order to investigate and analyze electrical equipment and work environment for preventing electric shock disaster in construction sites, 50 small-scale construction sites and 12 large-scale construction sites are selected. This paper completed site investigations of low-voltage equipment and the portable electric machine and equipment in 12 large-scale construction sites and 50 small-scale construction sites. The findings were about the electric shock environment relevant to the ground-relevant equipment, the panel board, the protection tools, the sockets, the temporary wiring system, the portable and movable electric machines and equipments in small-scale construction sites. Finally, this study analyzed the domestic and foreign relevant standards and regulations and these findings can be utilized as educational data warning electric shock risk caused by electric equipment in small-scale construction site.

실험을 통한 소형 무인헬리콥터의 공력인자 도출 및 제자리 비행 성능 예측 (Prediction of Hover Performance on Development of Small-Scale UAV using Numerical and Experimental Approach)

  • 이병언;;변영섭;송준범;강범수
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회B
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    • pp.2548-2553
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    • 2008
  • Prediction of the rotor blade performance is important for determining design factors such as weight and size in development of a small-scale helicopter. Generally, prediction of helicopter performance means the estimation of the power required for a given flight condition. However, due to lack of test data and analyzed results for small-scale rotor blade operated at low Reynolds numbers ($Re{\approx}10^5$), this is not an easy task. As an initial research, this work performs a modeling of a single rotor configuration with FLIGHTLAB and a experimental research with rotor test bed. In this process, we performed small-scale isolated single rotor by experimental and numerical method and achieved good agreement of the hover performance on the test data and simulation results.

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소규모 사업장의 보건관리 간호업무에 대한 관찰연구에서의 장애요인 (Interfering Elements in Observation Research on Occupational Health Nursing Services Applied to Small-scale-enterprises of Korea)

  • 유경혜
    • 한국직업건강간호학회지
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    • 제9권1호
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    • pp.56-61
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    • 2000
  • This study was done in an attempt to reveal those factors interfering with the observation study. Three trained research assistants collected data by observing the two occupational health nurses working in the small scale enterprises on the 3rd and 10th of February, 1999. The first observation was performed on the 3rd of February without observation guidance. Guidance was given during the second observation on the 10th of February. These data were compared between reporters in nursing services of 'Workplace visiting', 'Health counselling' and 'Blood pressure checking' according to nursing time and frequency. These areas were chosen because these activities were regarded as clearly identifiable by observers in contrast to the other performances. The data showed inconsistency between reporters. However, they were reduced when reporters observed nurses with guidance, although there were still minor differences between data in time and frequency. Discussions were carried out to find possible reasons for these differences. The causes were mainly attributed to the difficulty in workplace conditions to observe, the work specificity of nurses visiting each workplace and the delicate situation between nurses and observers when reporters were travelling in the nurse's car. Therefore, the results suggest that the observation method applied to the nursing service research at small-scale enterprises should be more concerned about the selection of appropriate workplace and operational definition of nursing activity in order to more precisely measure nurses' attitudes.

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Small Scale Map Projection and Coordinate System Improvement in Consideration of Usability and Compatibility

  • Choi, Byoung Gil;Na, Young Woo;Jung, Jin Woo
    • 한국측량학회지
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    • 제34권2호
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    • pp.171-183
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    • 2016
  • Small-scale maps currently used are made by scanning and editing printed maps and its shortcoming is accumulated errors at the time of editing and low accuracy. TM projection method is used but its accuracy varies. In addition, small-scale maps are made without consideration of usability and compatibility with other scale maps. Therefore, it is necessary to suggest projection and coordinates system improvement methods in consideration of usability and compatibility between data. The results of this study reveal that in order to make the optimum small-scale map, projection that fits the purpose of map usage in each scale, coordinate system and neat line composition should be selected in consideration of interrelation and compatibility with other maps. Conic projection should be used to accurately illustrate the entire country, but considering usability and compatibility with other maps, traversing cylindrical projection should be used instead of conic projection. For coordinates system of the small-scale map, Universal Transverse Mercator (UTM-K) based on the World Geodetic System should be used instead of conventional longitude and latitude coordinate system or Transverse Mercator.