• Education of Primary School Mathematics
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• v.9 no.2 s.18
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• pp.89-105
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• 2005

The purposes of this study were to develop an effective teaching material for slow learners in mathematics and to investigate its effect. To achieve the first goal, several pre-used teaching material and the 7th national curriculum for elementary school mathematics were analyzed to set up a framework fur developing new teaching material. Using these developed framework and curriculum data, 370 units of lesson were developed from the 3rd grade to the 6th grade. To investigate the effect of the material, 3 slow learners (2 from the 5th and 1 from the 6th grade) were selected through diagnostic tests. Then supplementary lessons were administered after school to relieve their disability accordingly for seven months. During the lessons(lasted about 40 minutes), teacher observed the subjects in detail and .judged the teaming sequence and the learning pace. Through this observation and the test administered after the treatment, several conclusions were drawn as follow: First, the supplementary lessons using the developed teaching material helped slow learners understand mathematics and solve problems. Especially, the test scores gained on formative evaluation became higher. This might be caused by the material that enabled to relieve the disablement and the teaching method that aimed to give a meaningful mathematical experience. Second, the supplementary lessons affected positively to the affective domain of the slow learners. They convinced themselves to their mathematical ability and became active in their mathematics class. This was observed by researcher and the class teacher in their lessons. Positive attitude toward mathematics and their ability is quite important for mathematics learning especially fur slow learners in mathematics.

• Journal of Animal Science and Technology
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• v.65 no.1
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• pp.209-224
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• 2023

This study aimed to identify the optimum level of supplementary feeds on the carcass traits and meat quality of Jamuna basin lambs. Forty selected lambs were divided into four treatments such as T₀ (no concentrate supplementation), T₁ (1% concentrate feed), T₂ (1.5% concentrate feed) and T₃ (2% concentrate feed) having ten lambs per treatment. The data were analyzed through Completely Randomized Design (CRD) with SAS software. Hot carcass, dressing percentage, head, leg, neck, loin, heart, and spleen weight were showed significantly (p < 0.05) higher values with increasing concentrate feed. The crude protein (CP), ether extract (EE) and ash values were significantly increased (p < 0.001) except T₂ treatment. The ultimate pH was significantly increased except T₂ and cooked pH was significantly decreased (p < 0.001) except T₃ treatment. Drip loss and cooking loss (CL) % had significantly reduced (p < 0.001) except T₃ treatment. The water holding capacity (WHC) % was significantly increased (p < 0.001) except T₃ treatment. The score of color, juiciness and tenderness were significantly different (p < 0.001). Flavor and overall acceptability score were significantly increased (p < 0.05) in different treatments. The color values L^* and b^* had significantly changed (p < 0.001) and a^* value was found significantly higher (p < 0.05) in all treatments. Hence, 12 months of aged lambs with 1.5% concentrate feed showed better performances on carcass, nutritional, physicochemical, sensory and instrumental color values to increase the carcass and the meat quality of lambs.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.661-668
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• 2012

For displaying multivariate numerical data on a 2D plane by the projection, principal components biplot and the GGobi are two main tools of data visualization. The biplot is very useful for capturing the global shape of the dataset, by representing $n$ observations and $p$ variables simultaneously on a single graph. The GGobi shows a dynamic movie of the images of $n$ observations projected onto a sequence of unit vectors floating on the $p$-dimensional sphere. Even though these two methods are certainly very valuable, there are drawbacks. The biplot is too condensed to describe the detailed parts of the data, and the GGobi is too burdensome for ordinary data analyses. In this paper, "the local projective display(LPD)" is proposed for visualizing multivariate numerical data. Main steps of the LDP are 1) $k$-means clustering of the data into $k$ subsets, 2) drawing $k$ principal components biplots of individual subsets, and 3) sequencing $k$ plots by Hurley's (2004) endlink algorithm for cognitive continuity.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.263-283
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• 2009

Although some CASE tools supported conceptual data design, they required for users too much preliminary knowledge to learn how to use and handle them. In addition, in a number of studies on conceptual data design with natural language, they claimed passive participation for users with conforming to messages predefined by CASE tools. As an alternative to these traditional CASE tools, we proposed an ERD formulator for automated data design tool, called ERDF, so that even ordinary users, not necessarily data modeler, are capable of formulating ERD on business requirements by use of ERDF. We, first of all, introduced NSM as the standard methodology. We also designed the structure of ERDF including main controller, input controller, operation controller, regulation controller, schema controller, and output controller. We then defined conceptual domains and basic operations to lay down schema operations as well as sentence rules to handle input sentence in natural language. To get an ERD that is faithful to business requirements, we laid out supplementary design for dialogue and confirmation of soundness and completion.

• Korean Journal of Geomatics
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• v.3 no.1
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• pp.33-41
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• 2003

Every year, several typhoons hit the Korean peninsula and cause severe damage. For the prevention and accurate estimation of these damages, real time or almost real time flood information is essential. Because of weather conditions, images taken by optic sensors or LIDAR are sometimes not appropriate for an accurate estimation of water areas during typhoon. In this case SAR (Synthetic Aperture Radar) images which are independent of weather condition can be useful for the estimation of flood areas. To get detailed information about floods from satellite imagery, accurate classification of water areas is the most important step. A commonly- and widely-used classification methods is the ML(Maximum Likelihood) method which assumes that the distribution of brightness values of the images follows a Gaussian distribution. The distribution of brightness values of the SAR image, however, usually does not follow a Gaussian distribution. For this reason, in this study the ANN (Artificial Neural Networks) method independent of the statistical characteristics of images is applied to the SAR imagery. RADARS A TSAR images are primarily used for extraction of water areas, and DEM (Digital Elevation Model) is used as supplementary data to evaluate the ground undulation effect. Water areas are also extracted from KOMPSAT image achieved by optic sensors for comparison purpose. Both ANN and ML methods are applied to flat and mountainous areas to extract water areas. The estimated areas from satellite imagery are compared with those of manually extracted results. As a result, the ANN classifier performs better than the ML method when only the SAR image was used as input data, except for mountainous areas. When DEM was used as supplementary data for classification of SAR images, there was a 5.64% accuracy improvement for mountainous area, and a similar result of 0.24% accuracy improvement for flat areas using artificial neural networks.

• Journal of the Korean Society of Food Culture
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• v.15 no.1
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• pp.17-28
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• 2000

This paper is an effort to describe dietary behaviors to keep them healthy among adults. A probability sample was drawn from residents aged between 15 and 60 living in Ulsan City area through a multi-staged cluster sampling method. The data collected by face-to-face interview includes 1,232 respondents. Both univariate and bivariate analyses were employed to describe the dietary behaviors. The dietary behaviors in this study includes preference of taking fat-part of meat, fried food, salty food, hot-taste food, drinking coffee and milk, and taking supplementary medicine. About half of the respondents reported to take fat removed when eating meat, and more than 68% of them preferred not to take any kinds of fried food. With respect to preference of salty and hot-taste food, 39.6% of the respondents take medium-salty and 39.4% do hot-taste food. A third of the respondents drink two-four cups of coffee a day. Those who reported not to drink milk at all were prevalent(37.4% of the respondents) than expected. However, less than 20% of the respondents reported to have any kinds of supplementary health food in a year. These dietary behaviors were examined by sociodemographic characteristics for bivariate analyses.

• Journal of Community Nutrition
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• v.6 no.2
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• pp.78-85
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• 2004

Children are the most nutrition sensitive sub-group of a population. The nutritional status of children should be especially emphasized at all levels. This study was performed to investigate the current status, trend, and influencing factors to malnutrition of infants and children in China. The study was mainly based on the China Health and Nutrition Survey which is a longitudinal study conducted in 8 provinces and the data on growth of children under 7 years of age in 9 cities in China. The result of this study showed that one fifth of the children under 5 years of age are still suffering from stunted growth and one tenth suffering from underweight. The nutrition intervention on children under 2 years of age, especially on those under 18 months should be emphasized. Better supplementary food can improve the nutritional status to decrease the prevalence of stunted children. Therefore, the development of supplementary food should be the priority and should be emphasized with breastfeeding.

• The Korean Journal of Community Living Science
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• v.15 no.2
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• pp.65-71
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• 2004

Many studies have shown that Letinus edodes has some effect on reducing blood pressure and lipid levels of animals with high pressure and hyperlipidemia. The cost of Letinus edodes varies depending on when it is harvested, and yet there has been no data collected on the bio-functional effects of Letinus edodes harvested at different times. This study was conducted to investigate the supplementary effects of Letinus edodes harvested at different times on blood pressure and blood lipid levels of hypertensive rats. Three kinds of experimental diets - control (CO), early harvested Lentinus deodes (EL), and late harvested Lentinus edodes (LL) - were supplied to spontaneously hypertensive rats (SHR) for eight weeks. The diet intake, body weight, organ weight, and serum lipid levels were subsequently measured. No significant difference was observed in diet intake and in the respective weights of the body, liver, and epididymal fat pad among experimental groups. The levels of systolic and disastolic blood pressure were significantly lower in the LE and LL groups than those in the CO group; and the concentration of serum total cholesterol was also lower in the LE and LL groups than in the CO group. These results confirm that Lentinus edodes reduces blood pressure levels and serum total cholesterol concentration in spontaneously hypertensive rats. But the effects of Lentinus edodes did not differ significantly based on whether the Lentinus edodes was harvested early or late.

• ETRI Journal
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• v.19 no.3
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• pp.186-201
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• 1997

In this paper, a home location register (HLR) for CDMA mobile communication system (CMS) is introduced. It stores the mobile station (MS) subscribers locations and supplementary service information. Call processing procedures for HLR are developed to receive and store subscriber's location coming from mobile exchange (MX) during the location registration, and to transfer subscriber's location and supplementary service information to the MX during the mobile-terminated call setup. For fast call processing by increasing database access speed, a memory-resident database management system is devised. For Easy and secure HLR operation, administration and maintenance functions and overload control mechanisms are implemented. Designed HLR hardware platform is expandable and flexible enough to reallocated software blocks to any subsystems within the platform. It is configurable according to the size of subscribers. An authentication center (AC) is developed on the same platform. It screens the qualified MS from the unqualified. The calls to and from the unqualified MS are rejected in CMS. To authenticate the MS, the AC generates a new authentication parameter called "AUTHR" using shared secret data (SSD) and compared it with the other AUTHR received from the MS. The MC also generates and stores seed keys called "A-keys" which are used to generate SSDs. The HLR requirements, the AC requirements, software architecture, hardware platform, and test results are discussed.

• Health Policy and Management
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• v.7 no.2
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• pp.109-146
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• 1997

This study explores the feasibility of activating private health insurance in Korea. The rationale for expanding private supplementary health insurance can be found in many cases of health care reforms in the European countries. Private health insurance can not only relieve the financial distress of the government health insurance programs but also offer the medical institutions incentives to improve the quality of medical care. In Korea there is no supplementary health insurance that reimburses for various kinds of diseases based on a well designed fee schedule. Recently, the cancer insurance is the best seller in the health related insurance market. As observed in the U. S. case, the cancer insurance which pays the predetermined amount (indemnity coverage) regardless of the medical charges incurred to the patient is limited in its coverage for the insured. To provide better protection against catastrophic diseases, the government should give insurance companies incentives to develop health insurance products that cover multiple diseases rather than a single disease. Consumers can hardly understand and compare complex insurance products. To resolve the information asymmetries, the government should publish a consumer report that compare various health insurance products in a user friendly way. In the long run, insurance companies will plan to sell health insurance products that charge risk related premium only when insurers accumulate the underwriting know-hows, the government shares data on various health statistics including claims and demographics, and risk pool for high risk patients is well established and subsidized by the government.