• Korean Journal of Poultry Science
• /
• v.6 no.2
• /
• pp.75-81
• /
• 1979

This study was carried out to select superior dual purpose hens which could spread to poultry farming for subsidiary work and general farmhouse. Three hundred and fifty chicks of 7 kinds of 2-way crossbred from mating of Rhode Island Red, New Hampshire and Australorps were tested for dual purpose performance. The results obtained were as follows: 1. The average viability of brooding, rearing and laying Period hen were 92.3% 98.3% and 93.1% respectively. There was significant difference at 1% level among crossbreds for brooding viability, but other viabilitys were no significant difference. 2. The average body weight of 8 weeks was 854.41g, but there was no significant difference among crossbreds, respectively. Average body weight at 300 days, 500 days were 2507.15g, 2632.25g respectively, but there was significant difference at 1% level among crossbreds. 3. Sexual maturity of individual and 50% egg production were 173.7 days and 199.4 days, respectively. There was significant difference at 5% level among crossbreds. 4. The average hen day egg production was 65.3% and the highest was R.N crossbred (70.5%). There was significant difference at 5% level among crossbreds and average hen housed egg Production was 20.2 eggs and the highest was 220.4 eggs in R.A. crossbred. 5. The average egg weight was 57.36g and the highest was A.N crossbred (58.3g). Therc was no significant difference among crossbreds. 6. The average feed consumption per hen per day by stag. was 42.9g (brooding period), 83.7g (rearing period), 131.1g (laying period). Average feed requirement per 1kg. egg production was 3.79 and th. R.A. crossbred was superiority (3.42). 7. On the basis of the results of this study, the R.A and R.N crossbreds were best for superior dual commercial chicks under farming management conditions.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.8
• /
• pp.5159-5168
• /
• 2014

The study examined the relationship among metal health, metabolic syndrome and nutrient acceptance according to gender. Implemented until 2010-2012, the 5th Korean National Health and Nutrition Examination Survey, as an original document, was used for the study. The target was problem drinkers with more than 12 points under AUDIT. Regarding mental health, it was classified into stress, depression and suicidal impulse. Metabolic syndrome was defined when three causes of BMI, waist circumference, FBS, HDL and BP were out of the normal range. The nutrient intake was obtained to confirm the energy intake of nine non-nutrients (Nutrient adequacy ratio: NAR) and the proper intake of the average non-nutrient (Mean adequacy ratio: MAR). These variables were analyzed by frequency, cross analysis and multiple regression analysis through SPSS18.0. In the general features, there was a significant difference according to age, occupation and marital status. In mental health, stress, depression and suicidal impulse were examined. Metabolic syndrome was dependant on FBS, HDL and BP. The nutrient acceptance depended on calcium, vitamin A, thiamine, riboflavin, niacin, vitamin C, and MAR. Logistic regression analysis performed on the variables showed significant differences. Stress, depression, and thoughts of suicide was significantly higher in men aged 19-29 years, and women aged 30-49 years. In the case of the male, those who employed have metabolic syndrome more than those who unemployed. In terms of female, those who were belonged into the middle - low economic level have undergone with metabolic syndrome. In the part of a Mean adequacy ratio(MAR), the male who unmarried, employed, were in the middle low economic levelwere higher. In the case of the female, it was higher for those who were in the middle - low economic level. Overall, an effective way of planning the solution regarding mental health, metabolic syndrome and nutrient intake can be found by considering these features.

• Horticultural Science & Technology
• /
• v.29 no.2
• /
• pp.130-134
• /
• 2011

Paprika (Capsicum annuum L.), a colored bell-type sweet pepper, is one of the most important money making vegetable crops in Korea. The cultivation area, total production, and exports of paprika are gradually getting increased, but the paprika cultivars used in Korea are all imported. It was well-known that the genic male sterility (GMS) is the main way to produce paprika hybrid seeds. However, it is little known that how many and what kinds of ms genes are used for breeding of paprika $F_1$ varieties. In this study, eight paprika cultivars ('Special', 'Debla', 'Plenty', 'Fiero', 'Boogie', 'Fiesta', 'Derby', and 'Minibell'), popularly cultivated in Korea and three different genic male sterile lines ('GMSP', 'GMS3', and 'GMSK') were used. For allelism test among the $F_1$ cultivars, half diallel crosses were performed. The result demonstrated that the most of the GMS in paprika cultivars except for 'Minibell' were same allele. To identify which GMS gene(s) were used for paprika $F_1$ cultivars, top crosses between previously known GMS lines and the $F_1$ cultivars were performed. As a result, we found that the $ms_k$ and the $ms_p$ genes were alleles for the GMS of 'Minibell' and for the other cultivars, respectively. We also confirmed that the GMS gene identification using GMSK-CAPS marker linked to the $ms_k$ gene and the PmsM1-CAPS marker linked to the $ms_p$ gene in $F_2$ progenies of 'Minibell' and 'Fiesta' and 'Derby' cultivars, respectively. In addition, we developed the PmsM2-CAPS marker for 'Plenty', 'Fiero', and 'Boogie' cultivars. We expect that these markers will be very useful for breeding new maternal (male sterile) line of paprika.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.34 no.3
• /
• pp.366-373
• /
• 2005

This study was carried out to investigate the self-reported health and eating habit of the elite female adolescent athletes in Incheon. The subjects were 102 elite female athletes of middle and high schools located in Inchon. A self-administered Questionnaire was used for this cross-sectional survey. Statistical analysis by two-way ANOVA was performed to discriminate between the main effects of age (as middle and high school athletes) and sports type, and their interaction. As use of nutritional supplements, 35.8% of the total subjects took vitamin and iron supplements and 62.5% of field and track athletes took vitamin and iron supplements. While mental stress related to exercise was much in fencing ＆gt; shooting ＆gt; field and track ＆gt; swimming athletes, physical burden during training was higher in swimming ＆gt; field and track ＆gt; fencing ＆gt; shooting athletes. More than half of the subjects showed irregular menstrual cycle. As the most severe problem of eating habit, they reported skipping meal ＆gt; overeating ＆gt; prejudiced meal ＆gt; preference to salty and spicy foods. More than half of the subjects skipped meal over three times per week. Fencing and shooting athletes showed very significantly higher frequency of skipping meal and more irregular breakfast time compared to those of other sport types. As for snack, they ate cookies, carbonated drink, chocolate, candy ＆gt; milk, yogurt, ice cream ＆gt; cake, bread, rice cake ＆gt; fried noodle ＆gt; hamburger, pizza. Therefore, nutritional counseling and education by sport type are necessary for health and good eating habit of these elite female adolescent athletes.

• Korean Journal of Breeding Science
• /
• v.42 no.3
• /
• pp.307-312
• /
• 2010

'Cheonghaejinmi' is a new japonica rice variety developed from three-way cross between Samjiyeon/SR14694-57-4-2-1-3-2-2//Iri402 by the rice breeding team of National Institute of Crop Science, RDA. Heading date of this variety is August 18, 4 days later than that of 'Sobibyeo' in middle plain areas. It has culm length of 78 cm, 125 spikelets per panicle, 92.5% of ripened grain rate, and 23.9 g of 1000-brown rice weight. It showed 12 days of heading delay, and 63% spikelet fertility in cold-water irrigation stress. 'Cheonghaejinmi' is susceptible to blast disease, bacterial blight, virus diseases and plant hoppers. The nitrogen use efficiency of this variety is higher than that of Sobibyeo in low nitrogen application level. Milled rice of 'Cheonghaejinmi' exhibits translucent, clear non-glutinous endosperm and medium short grain. It has 5.9% protein content, 20.3% amylose content, and 0.28 palatability index of cooked rice compared to -0.11 of Hwaseongbyeo. The milled rice yield of 'Cheonghaejinmi' was about 5.31 MT/ha at low nitrogen application level of ordinary season culture. This variety had 98.8% whole grain in milled rice and 76% milling recovery of whole grain. 'Cheonghaejinmi' would be adaptable to middle plain areas and middle-western coastal areas in Korea.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.151-176
• /
• 2021

As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers' needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users' behavior variables to establish criteria and redefine users' classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to small, it is necessary to define customers with common goals. To this end, it is necessary to derive persona and persuade various stakeholders. Under these circumstances, designing a consistent experience from beginning to end, through fast and concrete user descriptions, would be a very effective way to produce a successful service.

• Journal of Intelligence and Information Systems
• /
• v.23 no.3
• /
• pp.1-27
• /
• 2017

It is known that the economic sentiment index and macroeconomic indicators are closely related because economic agent's judgment and forecast of the business conditions affect economic fluctuations. For this reason, consumer sentiment or confidence provides steady fodder for business and is treated as an important piece of economic information. In Korea, private consumption accounts and consumer sentiment index highly relevant for both, which is a very important economic indicator for evaluating and forecasting the domestic economic situation. However, despite offering relevant insights into private consumption and GDP, the traditional approach to measuring the consumer confidence based on the survey has several limits. One possible weakness is that it takes considerable time to research, collect, and aggregate the data. If certain urgent issues arise, timely information will not be announced until the end of each month. In addition, the survey only contains information derived from questionnaire items, which means it can be difficult to catch up to the direct effects of newly arising issues. The survey also faces potential declines in response rates and erroneous responses. Therefore, it is necessary to find a way to complement it. For this purpose, we construct and assess an index designed to measure consumer economic sentiment index using sentiment analysis. Unlike the survey-based measures, our index relies on textual analysis to extract sentiment from economic and financial news articles. In particular, text data such as news articles and SNS are timely and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. There exist two main approaches to the automatic extraction of sentiment from a text, we apply the lexicon-based approach, using sentiment lexicon dictionaries of words annotated with the semantic orientations. In creating the sentiment lexicon dictionaries, we enter the semantic orientation of individual words manually, though we do not attempt a full linguistic analysis (one that involves analysis of word senses or argument structure); this is the limitation of our research and further work in that direction remains possible. In this study, we generate a time series index of economic sentiment in the news. The construction of the index consists of three broad steps: (1) Collecting a large corpus of economic news articles on the web, (2) Applying lexicon-based methods for sentiment analysis of each article to score the article in terms of sentiment orientation (positive, negative and neutral), and (3) Constructing an economic sentiment index of consumers by aggregating monthly time series for each sentiment word. In line with existing scholarly assessments of the relationship between the consumer confidence index and macroeconomic indicators, any new index should be assessed for its usefulness. We examine the new index's usefulness by comparing other economic indicators to the CSI. To check the usefulness of the newly index based on sentiment analysis, trend and cross - correlation analysis are carried out to analyze the relations and lagged structure. Finally, we analyze the forecasting power using the one step ahead of out of sample prediction. As a result, the news sentiment index correlates strongly with related contemporaneous key indicators in almost all experiments. We also find that news sentiment shocks predict future economic activity in most cases. In almost all experiments, the news sentiment index strongly correlates with related contemporaneous key indicators. Furthermore, in most cases, news sentiment shocks predict future economic activity; in head-to-head comparisons, the news sentiment measures outperform survey-based sentiment index as CSI. Policy makers want to understand consumer or public opinions about existing or proposed policies. Such opinions enable relevant government decision-makers to respond quickly to monitor various web media, SNS, or news articles. Textual data, such as news articles and social networks (Twitter, Facebook and blogs) are generated at high-speeds and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. Although research using unstructured data in economic analysis is in its early stages, but the utilization of data is expected to greatly increase once its usefulness is confirmed.

• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.175-196
• /
• 2022

Information and communication and home appliance industries, which were one of South Korea's main industries, are gradually losing their export share as their export competitiveness is weakening. This study objectively analyzed export competitiveness and suggested export-promising countries in order to help South Korea's information communication and home appliance industries improve exports. In this study, network properties, centrality, and structural hole analysis were performed during network analysis to evaluate export competitiveness. In order to select promising export countries, we proposed a new variable that can take into account the characteristics of an already established International Trade Network (ITN), that is, the Global Value Chain (GVC), in addition to the existing economic factors. The conditional log-odds for individual links derived from the Exponential Random Graph Model (ERGM) in the analysis of the cross-border trade network were assumed as a proxy variable that can indicate the export potential. In consideration of the possibility of ERGM linkage, a parametric approach and a non-parametric approach were used to recommend export-promising countries, respectively. In the parametric method, a regression analysis model was developed to predict the export value of the information and communication and home appliance industries in South Korea by additionally considering the link-specific characteristics of the network derived from the ERGM to the existing economic factors. Also, in the non-parametric approach, an abnormality detection algorithm based on the clustering method was used, and a promising export country was proposed as a method of finding outliers that deviate from two peers. According to the research results, the structural characteristic of the export network of the industry was a network with high transferability. Also, according to the centrality analysis result, South Korea's influence on exports was weak compared to its size, and the structural hole analysis result showed that export efficiency was weak. According to the model for recommending promising exporting countries proposed by this study, in parametric analysis, Iran, Ireland, North Macedonia, Angola, and Pakistan were promising exporting countries, and in nonparametric analysis, Qatar, Luxembourg, Ireland, North Macedonia and Pakistan were analyzed as promising exporting countries. There were differences in some countries in the two models. The results of this study revealed that the export competitiveness of South Korea's information and communication and home appliance industries in GVC was not high compared to the size of exports, and thus showed that exports could be further reduced. In addition, this study is meaningful in that it proposed a method to find promising export countries by considering GVC networks with other countries as a way to increase export competitiveness. This study showed that, from a policy point of view, the international trade network of the information communication and home appliance industries has an important mutual relationship, and although transferability is high, it may not be easily expanded to a three-party relationship. In addition, it was confirmed that South Korea's export competitiveness or status was lower than the export size ranking. This paper suggested that in order to improve the low out-degree centrality, it is necessary to increase exports to Italy or Poland, which had significantly higher in-degrees. In addition, we argued that in order to improve the centrality of out-closeness, it is necessary to increase exports to countries with particularly high in-closeness. In particular, it was analyzed that Morocco, UAE, Argentina, Russia, and Canada should pay attention as export countries. This study also provided practical implications for companies expecting to expand exports. The results of this study argue that companies expecting export expansion need to pay attention to countries with a relatively high potential for export expansion compared to the existing export volume by country. In particular, for companies that export daily necessities, countries that should pay attention to the population are presented, and for companies that export high-end or durable products, countries with high GDP, or purchasing power, relatively low exports are presented. Since the process and results of this study can be easily extended and applied to other industries, it is also expected to develop services that utilize the results of this study in the public sector.