• 산업융합연구
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• 제20권3호
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• pp.33-40
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• 2022

최근 IoT와 연계된 서비스들이 다양한 환경에서 활용되면서 IoT와 인공지능 기술이 융합되고 있다. 그러나, IoT 데이터를 안정적으로 처리하는 기술들이 완벽하게 지원되고 있지 않아 이를 위한 연구가 필요한 상황이다. 본 논문에서는 IoT 데이터를 머신러닝 기반으로 임베디드 벡터를 생성한 후 IoT 데이터를 최적화 할 수 있는 처리 기법을 제안한다. 제안 기법에서는 처리 효율을 위해서 IoT 데이터의 인덱스, 수집 위치(X와 Y축 좌표의 이진값), 그룹 인덱스, 타입, 종류 등을 QR 기반으로 임베디드 벡터화를 수행한다. 또한, IoT 데이터를 비대칭적으로 연계하도록 IoT 데이터 수집 과정에서 로드밸런싱을 수행할 수 있도록 다양한 IoT 장치에서 생성한 데이터를 통합 관리한다. 제안 기법은 비대칭적으로 IoT 데이터를 그룹화할 수 있도록 IoT 데이터를 해쉬기반으로 서로 직교화하도록 처리한다. 또한, IoT 데이터 종류 및 특성에 따라 주기적으로 생성 및 그룹화하기 때문에 IoT 데이터 간 간섭은 최소화할 수 있다. 향후 연구에서는 IoT 서비스를 제공하는 여러 환경에서 제안 기법을 비교 평가할 계획이다.

• 품질경영학회지
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• 제14권1호
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• pp.19-25
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• 1986

This paper studies the computer programming of statistical methods. A few computer programs are developed for * computing the basic statistics and the coefficients of process capability for raw and grouped data * drawing the frequency table and histogram * goodness of fit testing for normality with the analyses for stratifications if necessary. A special emphasis is laid on the significant digits and rounding-off for the output. A running result appears in the Appendix for a hypothetical example.

• Communications for Statistical Applications and Methods
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• 제14권2호
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• pp.309-316
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• 2007

In this paper, we decompose the whole likelihood based on grouped data into conditional likelihoods and study the approximate contribution of additional inspection to the efficiency. We also combine the conditional maximum likelihood estimators to construct an approximate maximum likelihood estimator. For an exponential distribution, we see that a large inspection size does not increase the efficiency much if the failure rate is small, and the maximum likelihood estimator can be approximated with a linear function of inspection times.

• 한국주거학회논문집
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• 제7권2호
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• pp.1-7
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• 1996

This study was designed to examine the effects of housing values on housing satisfaction model. The empirical model of this study was based on the Goulart(1982). Data were collected through questionnaire survey, and the sample consisted of 285 households in Kimhae. Housing values were grouped into four clusters : the health and convenience value, the personal and social value, the location value, and the economic value. The major findings were that 1) the concordance between values and the actual housing conditions contributes significantly to the prediction of housing astisfaction, and 2) the control variables including sociodemographic and economic characteristics and housing values themselves did not directly influence on housing satisfaction.

• Journal of Plant Biology
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• 제28권1호
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• pp.57-67
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• 1985

Leaf architectural studies have been made in 15 genera and 25 species belonging to 6 tribes of the Asteraceae. Major venation pattern conforms to pinnate craspedodromous (simple and semi), pinnate camptodromous with festooned brochidodromous secondaries, acrodromous and actinodromous. Qualitative leaf features and numerical data regarding the venation pattern are charted. Areoles of different sizes and shapes are observed. Tracheids occur either solitary or in groups. Grouped tracheids are either uniseriate, biseriate or multiseriate. Isolated free vein endings are observed in Centratherum phyllolaenum. Bundle sheath is prominent in Xanthium strumarium. Secretory cavities are observed in the lamina of Tricholepis amplexicaulis.

• 천문학회지
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• 제14권2호
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• pp.73-78
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• 1981

On the basis of the recently available data, we have analysed the kinematical properties of nearby dwarfs, which are grouped by their spectral types and derived their ages from the kinematical properties. The discontinuities in the kinematical properties are found around late F stars, which appear to be caused mainly by the fact that the spectral groups earlier than late F are rather homogencous in age while the later ones are mixed by two different age group.

• 자원환경지질
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• 제8권3호
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• pp.125-133
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• 1975

The entire South Korea was divided into several main river basins and drilling data through the South Korea were grouped in accordance with the basins. Thickness of each alluvial formation in each basin was averaged to produce the thickness of the whole alluvium. From studying the alluvial stratigraphy of each basin the condition of the alluvial sedimentation was studied and compared between different basins. Thus the characteristics of the alluvial sedimentation in each basin was clarified.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1997년도 International Conference MULTIMEDIA DATABASES on INTERNET
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• pp.472-482
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• 1997

Multi-dimensional data play a crucial role in various fields, as like computer graphics, geographical information system, and multimedia applications. Indexing method fur multi-dimensional data Is a very Important factor in overall system performance. What is proposed in this paper is a new dynamic access method for spatial objects called HL-CIF(Hierarchically Layered Caltech Intermediate Form) tree which requires small amount of storage space and facilitates efficient query processing. HL-CIF tree is a combination of hierarchical management of spatial objects and CIF tree in which spatial objects and sub-regions are associated with representative points. HL-CIF tree adopts "centroid" of spatial objects as the representative point. By reflecting objects′sizes and positions in its structure, HL-CIF tree guarantees the high spatial locality of objects grouped in a sub-region rendering query processing more efficient.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.97-108
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• 2022

The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.

• 응용통계연구
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• 제23권2호
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• pp.325-333
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• 2010

Protection against disclosure of survey respondents' identifiable and/or sensitive information is a prerequisite for statistical agencies that release microdata files from their sample surveys. Coarsening is one of popular methods for protecting the confidentiality of the data. Grouped data can be released in the form of microdata or tabular data. Instead of releasing the data in a tabular form only, having microdata available to the public with interval codes with their representative values greatly enhances the utility of the data. It allows the researchers to compute covariance between the variables and build statistical models or to run a variety of statistical tests on the data. It may be conjectured that the variance of the interval data is lower that of the ungrouped data in the sense that the coarsened data do not have the within interval variance. This conjecture will be investigated using the uniform and triangular distributions. Traditionally, midpoint is used to represent all the values in an interval. This approach implicitly assumes that the data is uniformly distributed within each interval. However, this assumption may not hold, especially in the last interval of the economic data. In this paper, we will use three distributional assumptions - uniform, Pareto and lognormal distribution - in the last interval and use either midpoint or median for other intervals for wage and food costs of the Statistics Korea's 2006 Household Income and Expenditure Survey(HIES) data and compare these approaches in terms of the first two moments.