• 한국주거학회논문집
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• 제2권1호
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• pp.13-34
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• 1991

The main purpose of this study is to examine housing norm of the middle classes, housing norm and normative housing deficits by independent variables(socio - economic variables, family characteristic variable sand housing characteristic variables).There are two major findings of this study as follows :1. In the housing norm, housing space is 99.Om2, the number of rooms is 3.0, housing structure type is apartment, the maintenance cost is 13 thousand won, and housing tenure is home ownership. And housing qualify is classified into 5 dimensions, and neighborhood environment is classified into 3 dimensions.2. This thesis is to conform Morris et aL.(1984)`s hypotheses that cultural norm is homogeneous in culturally unified society and if it appears heterogeneously, It is the subject`s reporting error of the subjects confusing cultural norm with family norm.

• 천문학회지
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• 제51권6호
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• pp.171-183
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• 2018

To celebrate the tenth anniversary since the launch of Fermi Gamma-ray Space Telescope, we take a retrospect to a series of breakthroughs Fermi has contributed to pulsar astronomy in the last decade. Apart from significantly enlarging the population of ${\gamma}$-ray pulsars, observations with the Large Area Telescope onboard Fermi also show the population is not homogeneous. Instead, many classes and sub-classes have been revealed. In this paper, we will review the properties of different types of ${\gamma}$-ray pulsars, including radio-quiet ${\gamma}$-ray pulsars, millisecond pulsars, ${\gamma}$-ray binaries. Also, we will discuss the prospects of pulsar astronomy in the high energy regime.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.160-172
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• 2024

The characteristic aspects of learning a foreign language require special resources and tools for online learning. Criteria for choosing educational platforms depend on key elements of an academic subject area. Microsoft Teams (hereafter, MT) educational platform is competitive one because it meets most of the needs that arise during the formation of a secondary linguistic persona. Due to the large number of corporate programs, there are a successful acquisition of language skills and the implementation of all types of oral activities of students. A significant MT advantage is the constant analysis and monitoring of the platform of participants' needs in the educational process by developers. The article highlights MT advantages and disadvantages. The attention is drawn to individual programs, which, in the authors' opinion, are the most successful to learn writing, reading, speaking, listening, as well as organize classes that meet needs of modern foreign students.

• Journal of the korean society of oceanography
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• 제33권3호
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• pp.113-122
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• 1998

The requisite numbers of sample replicates for the population study of soft-bottom benthos were estimated from survey data on the Songdo tidal flat and subtidal zone in Youngil Bay, Korea. Large numbers of samples were taken; two-hundred-fifty 0.02 m$^2$ box corers and fifty 0.1m$^2$ van Veen grabs were taken on the Songdo tidal flat and in Youngil Bay, respectively. The effect of sampler size on sampling efforts was investigated by pooling the unit samples in pairs, fours, eights, etc. The requisite number of sample replicates (n$_r$) was determined by sample variance (s$^2$) and mean (m) function (n$_r$:s$^2$/P$^2$m$^2$), at P=0.2 level, in which s$^2$ and m were calculated from the counts of individuals collected. For example, seven samples of 0.02 m$^2$ corer for the intertidal and two samples of 0.1 m$^2$ van Veen grab for subtidal fauna were required to estimate the total density of community. The smaller sampler size was more efficient than larger ones when sampling costs were compared on the basis of the total sampling area. The requisite number of sample replicates was also predicted ($\^{n}$n$_r$) by substituting $\^{s}$$^2$ obtained from the regression of s$^2$ against m using the Taylor's power law ($\^{s}$$^2$:am$^b$). The regression line of survey data on s$^2$ and m plotted on log scale was well fitted to the Taylor's power law (r$^2$${\geq}$0.95, p<;0.001) over the whole range of m. The exponent b was, however, varied when it was estimated from m which was categorized into classes by its scale. The fitted exponent b was large when both density class and the sampler size were large. The number of sample replicates, therefore, could be more significantly estimated, if regression coefficients (a and b) would be calculated from sample variance and mean categorized into density classes.

• 한국수산과학회지
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• 제42권5호
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• pp.411-416
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• 2009

Proximate compositions and fatty acid profiles of cultured and wild mackerel (Scomber japonicus) muscles were compared. Protein content ranged from approximately 16% to 18% and was higher in wild fish than in cultured ones. Lipid content was between two to four times higher in large and small cultured fish (20.1-20.5%) compared with same sized wild fish. The prominent non-polar lipid (NL) class in fish muscles was triglyceride, and additionally, free sterol was among the prominent NL classes in wild fish muscles. Prominent phospholipid (PL) classes in cultured and wild fish muscles were phosphatidylethanolamine and phosphatidylcholine, with the former being higher in cultured fish and the latter higher in wild fish. Prominent fatty acids of total lipid were 16:0, 18:1n-9, 22:6n-3 (docosahexaenoic acid, DHA), 20:5n-3 (eicosapentaenoic acid, EPA), 16:1n-7, 18:0 and 14:0, while 18:2n-6 was among the prominent fatty acids in cultured fish. The n-3 polyunsaturated fatty acids (PUFA, DHA+EPA) content (in mg/100 g of muscle tissue) was higher in cultured fish (2,711 mg in large fish and 2,572 mg in small fish) than in wild fish (2,431 mg in large fish and 1,398 mg in small fish). In conclusion, we have been able to demonstrate that cultured mackerel could also be a good sources of n-3 PUFA, such as DHA and EPA.

• 천문학논총
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• 제27권4호
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• pp.223-224
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• 2012

Understanding the birth and evolution of galaxies, and the history of star formation in them, is one of the most important problems in astronomy. Using the data from the AKARI IRC survey of the Large Magellanic Cloud at 3.2, 7, 11, 15, and $24{\mu}m$, we have constructed a multi-wavelength catalog containing data from the cross-correlation with a number of other databases at different wavelengths. We present the first approach with a Support Vector Machine (SVM)-based method to separate different classes of stars in LMC in the color-color and color-magnitude diagrams.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.831-832
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• 2006

In this paper, we introduce a canonical framework of the large-scaled web-based sensor gateway and practically implement it as the environment monitoring system. The system consists of a central management server, up to 250 local embedded subsystems and up to 250 sensor or actuator nodes for each subsystem. The node information is gathered periodically through a well-defined protocol on the sensor network and converted to the web contents and the SNMP MIB objects according to its data type. The MIB objects are well-defined and include system, network, sensor, actuator and alarm specific data classes. Because there is an increasing trend that a large number of sites are willing to adapt unmanned sensing and control, the developed system will play a key role to efficiently manage a large scale sensor networked system such as environment monitoring systems or countermeasure systems against disaster and calamities.

• Journal of Nutrition and Health
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• 제6권2호
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• pp.35-43
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• 1973

This study is concerned with the nutritional status of the packed lunch boxes which are brought by the junior high school students in Capital City of Seoul. Four hundred and eights students of the 8 school districts in Seoul had been randomly selected as subjects. The contained nutrients in the packed lunch were analysed by the Food Composition Table. To observe the influence of home economical status and mother's educational level on the nutrient concents of packed lunches, the chosen subjects were classified into three large groupings, which are upper, middle and low classes respectively. In addition, comparison between the Recommended Daily Allowanced for Korean people-13 to 15 age group-and the contained nutrients in the lunch boxed had been conducted. T-test was applied to clarify the significance of the differences between each group both economical and educational level. 1. The averaged rations between the Recommended Daily Allowances and the contained nutrients in the lunches stand: Calorie 59.7% (566 Cal.) protein 53.1% (18g), animal protein 48.6% (5g), fat 39.8% (5g), calcium 371.% (0.1g), ferret 66.4% (2.9g) Vitamin A 642 1.U. (31.3%), Vitamin $B_1$ 70.2% (0.3mg), Vitamin $B_2$ 41.4% (0.2g), Niacin 77.0%(4mg), Vitamin C 51.9% (13mg). All of the nctrients fall far behind the Recommended Daily, Allowances for 13 to 15 age group. 2. Home economical status brings influence on the kinds of foods which could been. Protein, animal protein, fat, Vitamin $B_2$, Vitamin C showed significance of diffierences between the upper and middle classes. Between the middle and low classes, Protein, animal protein, fat, calcium and Vitamin C showed significance of difference. And finally, between the upper and low classes, protein, fat, calcium, ferret, Vitamin $B_2$ and Vitamin C showed a great significance. 3. Regardless to the living conditions of the subject students, all the nutrients of the lunches packed by the mothers in the entire educational levels did not reach the Recommended Daily Allowances. Protein, animal protein, fat, ferret, Vitamin A, and Niacin showed the significance of the differences between the upper and middle classes. On the other hand, calorie, animal protein, fat, Vitamin A and Vitamin C showed the significance between the middle and low classes. Between the upper and the low classes, protein, animal protein, fat, and ferret showed significance. 4. The mairdish-ice of the lunch boxes supplied calorie, protein, Vitamin $B_1$, Vitamin $B_2$ and Niacin which stand at 83.8%, 56.1%, 52.5%, and 54.8% respectivly when compared with the whole nutritional contents. 5. The side-dishes of the packed lunch lack in variety of cooking methods. One interesting fact is that entire subject students are very favorable to the food cooked with every kind of grains.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1319-1323
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• 2004

In this paper, a problem of Thai sign language recognition using a neural network is considered. The paper addresses the problem in classifying certain signs conveying quantitative meaning, e.g., large or small. By treating those signs corresponding to different quantities as derived from different classes, the recognition error rate of the standard multi-layer Perceptron increases if the precision in recognizing different quantities is increased. This is due the fact that, to increase the quantitative recognition precision of those signs, the number of (increasingly similar) classes must also be increased. This leads to an increase in false classification. The problem is due to misinterpreting the amount of quantity the quantitative signs convey. In this paper, instead of treating those signs conveying quantitative attribute of the same quantity type (such as 'size' or 'amount') as derived from different classes, here they are considered instances of the same class. Those signs of the same quantity type are then further divided into different subclasses according to the level of quantity each sign is associated with. By using this two-level classification, false classification among main gesture classes is made independent to the level of precision needed in recognizing different quantitative levels. Moreover, precision of quantitative level classification can be made higher during the recognition phase, as compared to that used in the training phase. A standard multi-layer Perceptron with a back propagation learning algorithm was adapted in the study to implement this two-level classification of quantitative gesture signs. Experimental results obtained using an electronic glove measurement of hand postures are included.

• Smart Structures and Systems
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• 제33권1호
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• pp.55-64
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• 2024

This paper proposes a fusion imaging-based coating-defect classification method for steel structures that uses zero-shot learning. In the proposed method, a halogen lamp generates heat energy on the coating surface of a steel structure, and the resulting heat responses are measured by an infrared (IR) camera, while photos of the coating surface are captured by a charge-coupled device (CCD) camera. The measured heat responses and visual images are then analyzed using zero-shot learning to classify the coating defects, and the estimated coating defects are visualized throughout the inspection surface of the steel structure. In contrast to older approaches to coating-defect classification that relied on visual inspection and were limited to surface defects, and older artificial neural network (ANN)-based methods that required large amounts of data for training and validation, the proposed method accurately classifies both internal and external defects and can classify coating defects for unobserved classes that are not included in the training. Additionally, the proposed model easily learns about additional classifying conditions, making it simple to add classes for problems of interest and field application. Based on the results of validation via field testing, the defect-type classification performance is improved 22.7% of accuracy by fusing visual and thermal imaging compared to using only a visual dataset. Furthermore, the classification accuracy of the proposed method on a test dataset with only trained classes is validated to be 100%. With word-embedding vectors for the labels of untrained classes, the classification accuracy of the proposed method is 86.4%.