• Journal of Biosystems Engineering
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• v.19 no.4
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• pp.380-396
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• 1994

A personal computer based color machine vision system with video camera and fluorescent lighting system was used to generate images of stationary tobacco leaves. Image processing algorithms were developed to extract both the geometric and the color features of tobacco leaves. Geometric features include area, perimeter, centroid, roundness and complex ratio. Color calibration scheme was developed to convert measured pixel values to the standard color unit using both statistics and artificial neural network algorithm. Improved back propagation algorithm showed less sum of square errors than multiple linear regression. Color features provide not only quality evaluation quantities but the accurate color measurement. Those quality features would be useful in grading tobacco automatically. This system would also be useful in measuring visual features of other agricultural products.

• Communications for Statistical Applications and Methods
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• v.22 no.5
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• pp.415-434
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• 2015

In this paper we overview the literature on common features analysis of economic time series. Starting from the seminal contributions by Engle and Kozicki (1993) and Vahid and Engle (1993), we present and discuss the various notions that have been proposed to detect and model common cyclical features in macroeconometrics. In particular, we analyze in details the link between common cyclical features and the reduced-rank regression model. We also illustrate similarities and differences between the common features methodology and other popular types of multivariate time series modelling. Finally, we discuss some recent developments in this area, such as the implications of common features for univariate time series models and the analysis of common autocorrelation in medium-large dimensional systems.

• Korean Institute of Interior Design Journal
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• v.17 no.5
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• pp.80-90
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• 2008

This study analyzes interior features of indoor community facilities, focused on apartment complexes in capital area selected by 'Award of best living apartment' during $2000{\sim}2007$. First we analyze community facilities' concept, present standards of installment, present condition, then the size of each complex compared with legal standards. Also, we analyze interior features(spacial layout, furniture and furnishings, interior finishing materials, interior color), too. Research methods included both data survey and site visiting inquiry. Data survey method analyzes size of each complex using community facilities' floor plans, and site visiting inquiry analyzes type and feature of community facilities. Survey target was total 11 complexes, 7 in Seoul, 4 in Gyeonggi-do. The result is as follows. 1) It is needed to improve legal standards of installment, and to provide space with flexibility and changeability in order to allow alternation of usage purpose by resident's claim. 2) To determine size of community facilities, we must planned not only by the number of households, but by legal standards of supply according to the number of households, the rate of net area, and the recommended size per person. 3) The area of community facilities in apartment complex that residents use doesn't considered user's convenience. So it us needed to add each facility's recommendation in response to user's needs.

• The Journal of the Acoustical Society of Korea
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• v.18 no.3E
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• pp.26-29
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• 1999

In this paper, we propose a new voice coding using only the features of the face image such as mouth height(H), width(W), rate(R=W/H), area(S), and ellipse's feature(P). It provides high security and is not affected by acoustic noise because we use only the features of face image for speech. In the proposed algorithm, the mean recognition rate for the vowels approximately rises between 70% and 96% after many tests.

• Journal of the Korean housing association
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• v.8 no.3
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• pp.81-90
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• 1997

Cheju province exposes a separated residential culture compared to the mainland area. since it has its own unique climate, natural features. Therefore, this study tried to grasp the residential behavior. was based on the questionnaire to Cheju province people, using the approach by statistic verification. This study also focused and aimed on suggesting the basic data about housing plan which is appropriate to the climate. natural features requirement from inhabitants through the comparison and analysis between the mainland area and Cheju province. The results of the study are as follows; Firstly. the diversified applicative study on ‘Ol-rae’. ‘Ma-dang’, ‘Yoo-young’ and so forth that is traditional outside garden of Cheju is imperative, because in urban area people think traffics, vicinity, etc. are more significant, and in rural area people think occupying large outside space is more significant. Secondly. in the study of the degree of satisfaction on the housing, most of the people's was ‘neutral’ and in rural area quite a lot of negative reaction exposed. This is owing to the uniform introduction on residential style of the mainland area. Thirdly, housing plan should be considered family members' housing needs and provincial characteristics, meanwhile most of the people answered positively about the residential value which is considered very significant lately, for instance, security of privacy. appropriate plan for child's room.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.17-25
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• 2009

This paper presents a methodology for a fall detection using the feature extraction method based on the neural network with weighted fuzzy membership functions (NEWFM). The distributed non-overlap area measurement method selects the minimized number of input features by removing the worst input features one by one. Nineteen number of wavelet transformed coefficients captured by a triaxial accelerometer are selected as minimized features using the non-overlap area distribution measurement method. The proposed methodology shows that sensitivity, specificity, and accuracy are 95%, 97.25%, and 96.125%, respectively.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.1-9
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• 2012

This paper presents an algorithm for depression diagnosis using the Neural Network with Weighted Fuzzy Membership functions (NEWFM) and heart rate variability (HRV). In the algorithm, 22 different features were initially extracted from the HRV signal by frequency domain, time domain, wavelet transformed, and Poincar$\acute{e}$ transformed feature extraction methods; of these 6 optimal features were selected by significance evaluation using Non-overlap Area Distribution Measurement (NADM) based on NEWFM. The proposed algorithm uses these 6 optimal features to diagnose depression with an accuracy of 95.83%.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.168-173
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• 2012

This paper presents a new human identification algorithm using partial features of the uncovered portion of face when a person wears a mask. After the face area is detected, the feature is extracted from the eye area above the mask. The identification process is performed by comparing the acquired one with the registered features. For extracting features SIFT(scale invariant feature transform) algorithm is used. The extracted features are independent of brightness and size- and rotation-invariant for the image. The experiment results show the effectiveness of the suggested algorithm.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.14-17
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• 2007

To make use of surveying data obtained from different sensors and different techniques in a common reference frame, it is a pre-requite step to register them in a common coordinate system. For this purpose, we have developed a methodology to register IKONOS-2 Satellite Imagery using ALS data. To achieve this, conjugate features from these data should be extracted in advance. In the study, linear features are chosen as conjugate features because they can be accurately extracted from man-made structures in urban area, and more easily than point features from ALS data. Then, observation equations are established from similarity measurements of the extracted features. During the process, considering the characteristics of systematic errors in IKONOS-2 satellite imagery, the transformation function were selected and used. In addition, we also analyzed how the number of linear features and their spatial distribution used as control features affect the accuracy of registration. Finally, the results were evaluated statistically and the results clearly demonstrated that the proposed algorithms are appropriate to register these data.

• Architectural research
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• v.22 no.1
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• pp.1-11
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• 2020

From 1990s to the present, in China, residential communities has developed rapidly in terms of government policies and living environments. With economic development, dwelling commercialization and socialization gradually reshaped the housing distribution system and local government management in Chinese urban area. After this process, dwellings were endowed with commodity attributes, which were planned and designed depending on residents' requirements of life. During the 30 years of social transformation, Chinese citizens' lifestyle also had huge changes. In this period, the forms of residential area improved constantly to keep pace with social development. This study aims to research the features of contemporary communities and survey citizens' lifestyle changes to find the reasons of the evolution of communities. Moreover, in this paper, there is a clear explanation of the reasons why gated communities are popular in Chinese urban area. In addition, comprehensive data analysis is derived from a questionnaire administered in Shanghai, China. In this part, the questionnaire surveys what factors about lifestyle influence the transformation of living environments and residential buildings. The results of survey show that residents have housing preferences dependent on their lifestyles, and their daily needs related with environmental features.