• Korea journal of population studies
• /
• v.5 no.1
• /
• pp.4-16
• /
• 1982

The Korean Population Control Program has been implementing under the jurisdiction of the Ministry of Health and Social Affairs through an existing network of health centers. This arrangement was successful in bringing population growth down to targeted level by the end of the Fourth Five Year Economic Planning, 1981. It is expected, however, that future goal will be harder to reach due to difficulty of reducing traditional family size norms further and to the projected increasing the number of eligible couples as the past Korean war baby boom generation enters the reproductive activity in the next few years. The recognition of the need for modification of population policy is increasing. The 1980 census shows that the total number of population reached approximately 38.5 million with 1.57 per cent of the growth rate. It was projected that the size of Korean Population will reach around 42 million and 51 million in 1986 and 2000 respectively. Furthermore, there is some argument as to whether decline in the birth rate in Korea is too slow to meet government target. Hence, a new development of population policy and greatly increased amount of effort will be needed in order to achieve Zero Population Growth Rate before the year 2050. The development of future national population policy and its related area are recommended as follow: 1. It is highly recommended that the population planning law governing both vital events of birth and death and population migration should be legislated. 2. The National Population Policy Council, Chaired by Deputy Prime Minister should be activated to implement and coordinate population program within ministries. 3. Responsible organization of population and family planning program should be established as a Bureau unit at central government level. 4. For the improvement of national vital registration, an existing system should be studied and developed.

• Journal of Fashion Business
• /
• v.15 no.6
• /
• pp.1-22
• /
• 2011

This paper is a study on the information required for developing Korean clothing products intended for Chinese students in Korea and for opening markets of Korean clothing and brands in China. It analyses the buying behaviors, purchasing ability, the favourite apparel type for clothing, and satisfaction with Korean clothing and brands of Chinese students in Korea, with which it seeks a program for South Korea branding to enter into the Chinese clothing market. Three hundred fifty seven students of Hannam University and PaiChai University Chung nam National University in Daejeon-city took part in this study. This paper adopts Descriptive Analysis, Crossing Analysis, Bivariate Correlations, and One-way ANOVA in SPSS 17.0 with Post Hoc Multiple Comparisons to know about the impact of demographic variables of Chinese students in Korea on buying information sources, the criteria for store selection, buying capacity, praise degree on various properties of Korean clothes products and their satisfaction with Korean clothes products. The first proposal of expanding China market for Korean merchants is to achieve maximum sales based on sales promotion strategies, such as the credit card corporations, the store display and sales person service development, SPA, design size development, and to upgrade consumption values. The second proposal is Korean clothes corporations should open the Internet shopping corresponding to the physical stores, the most frequently used information source of Chinese students is the network, from the age distribution of Internet users in 2008 in China, population above 10 and below 30 accounts for 66.7% of all users, In recommending clothes made in Korea to Chinese young people, on-line advertising will get better effects than other strategies, specially during advertisement, they should take good use of Korean television shows and variety shows or help Chinese poor areas to do the social contribution hereby to improve the public image of Korean clothes corporations, which can bring good sale promotion effects as well.

• Journal of The Korean Association of Information Education
• /
• v.24 no.6
• /
• pp.633-641
• /
• 2020

The development of intelligent information technology based on intelligence and data and network technology implemented by artificial intelligence has instigated innovation in society as a whole and has shown wide social and economic impact. Therefore, not only overseas but also in Korea, AI education is in a hurry to cultivate talents who will lead the upcoming society. Data is an important part of artificial intelligence, and data literacy, which can collect, process, and analyze data, to make data-based decisions, can be seen as an important competency to be developed along with AI literacy. Therefore, in this study, an AI data science education program that can increase data literacy of elementary school students was developed and applied to the experimental group, and its effectiveness was verified through a pre- and post response sample t-test. As a result, all of the four detailed competencies of data literacy, data understanding, collection, analysis, and expression, showed statistically significant improvement, indicating that the AI data science education program was effective in improving students' data literacy.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.66 no.3
• /
• pp.39-51
• /
• 2024

To effectively implement the integrated water management policy outlined in the National Water Management Act, it is essential to analyze agricultural water supply and demand at both basin and water district levels. Currently, agricultural water is primarily distributed through open canal systems and controlled by floodgates, yet the utilization-to-supply ratio remains at a mere 48%. In the case of agricultural water, when analyzing water balance through existing national basin water resource models (K-WEAP, K-MODISM), distortion of supply and regression occurs due to calculation of regression rate based on the concept of net water consumption. In addition, by simplifying the complex and diverse agricultural water supply system within the basin into a single virtual reservoir, it is difficult to analyze the surplus or shortage of agricultural water for each field within the basin. There are limitations in reflecting the characteristics and actual sites of rural water areas, such as inconsistencies with river and reservoir supply priority sites. This study focuses on the development of a model aimed at improving the deficiencies of current water balance analysis methods. The developed model aims to provide standardized water balance analysis nationwide, with initial application to the Anseo standard watershed. Utilizing data from 32 facilities within the standard watershed, the study conducted water balance analysis through watershed linkage, highlighting differences and improvements compared to existing methods.

• Journal of Intelligence and Information Systems
• /
• v.24 no.1
• /
• pp.183-203
• /
• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of the Economic Geographical Society of Korea
• /
• v.6 no.2
• /
• pp.307-326
• /
• 2003

In Korea, as the state has played a vital role for industrial development, the location and development of industrial complexes have not been merely decided by economic factors but political and social factors as well. The location of industrial complexes in Chonbuk province has not been decided by industrial enterprises to be located there, but by investment strategies of the state. In the early stage of industrialization, Chonbuk could not attract a large-scale major complex because it had relatively inferior infrastructure for industry and uneasy access to overseas export markets, as compared to the capital region or the Southeast region of the country, and it has been left behind as a periphery in the national industrial system. Since 1980, the spatial policies for lessening regional disparities had much contributed to the development of industrial complexes in this province. The industrial complexes leading to the development of manufacturing activities in this region have also great influenced on structural changes of manufacturing as well as changes in the structure of the regional economy. Especially, capital goods manufacturing tends to increase in this region as the development of sectors required relative higher skill and technology mainly occurs in these complexes. And where the large-scale industrial complexes are located greatly influences the locational patterns of manufacturing in this province. The patterns of the industrial complexes in this region have concentrated in Chonju, Iksan, and Kusan, which are the largest cities in this province. Given these three cities to be very closely proximate, it seems to be easy to build network between them to develop the manufacturing activities in the near future.

• Journal of the Korean Geographical Society
• /
• v.39 no.2
• /
• pp.229-240
• /
• 2004

This article aimed to suggest a program for environmental protection and sustainable development in southwest Primorskii Krai of the Russian federation by analysis of Natural conditions, natural resources and current economic activities. Issues relating to protecting unique biodiversity toward economic development are examined. Special attention is given to functional zoning of the Russian part of lower Tumen River drainage. Functional zoning is key to protecting the unique biodiversity found in wet and marshlands of the lower Tumen River. Recommendations for acceptable economic activity are provided. The major components for a Sustainable Development Program in this area are: to define economically effective and ecologically acceptable types of regional activity (aquaculture; deer farming; recreation) and effective forms of territorial organization; to determine the restrictions on regional industrial and economic development; to organize rational regional land use by carrying out functional zoning and by coordinating this activity with all land users, including restructuring existing protected territories into a single system and include it into an international biospheric network.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.46 no.2
• /
• pp.27-36
• /
• 2018

This study suggests the necessity of behavior analysis as changes to a park environment to reflect user desires can be implemented only by grasping the needs of park users. Online data (blog) were defined as the basic data of the study. After collecting data by 5 - year units, data mining was used to derive the characteristics of the time series behavior while the significance of the online data was verified through social network analysis. The results of the text mining analysis are as follows. First, primary results included 'walking', 'photography', 'riding bicycles'(inline, kickboard, etc.), and 'eating'. Second, in the early days of the collected data, active physical activity such as exercise was the main factor, but recent passive behavior such as eating, using a mobile phone, games, food and drinking coffee also appeared as a new behavior characteristic in parks. Third, the factors affecting the behavior of park users are the changes of various conditions of society such as internet development and a culture of expressing unique personalities and styles. Fourth, the special behaviors appearing at Olympic Park were derived from educational activities such as cultural activities including watching performances and history lessons. In conclusion, it has been shown that people's lifestyle changes and the behavior of a park are influenced by the changes of the various times rather than the original purpose that was intended during park planning and design. Therefore, it is necessary to create an environment tailored to users by considering the main behaviors and influencing factors of Olympic Park. Text mining used as an analytical method has the merit that past data can be collected. Therefore, it is possible to form analysis from a long-term viewpoint of behavior analysis as well as to measure new behavior and value with derived keywords. In addition, the validity of online data was verified through social network analysis to increase the legitimacy of research results. Research on more comprehensive behavior analysis should be carried out by diversifying the types of data collected later, and various methods for verifying the accuracy and reliability of large-volume data will be needed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.2
• /
• pp.885-892
• /
• 2012

Coastal zone management indicators are being used as an important means of decision making in the process of policy establishment for integrated coastal management and implementation, and these indicators are very useful tools that enable the evaluation of the coastal zone management from an integrated perspective, the understanding and analysis of interactions according to each department. Accordingly, most of organizations in international society and advanced coastal states tend to develop coastal zone management indicator system in order to check current coastal environment, social and economic status, also to grasp effectiveness of the coastal zone management policy. In this research, therefore, the characteristics of coastal zone management indicator system was drawn through understanding of strength and weakness, and conducting comparative analysis of the coastal zone management indicator system according to each level having classified domestic and international coastal zone management indicator system into three aspects at large: natural and environmental aspect; social and economic aspect; and network aspect. As a result, following features were drawn as the common characteristics among the cases in the advanced coastal states: the management means for realization of sustainable coastal zone management; scientific decision making tools for various stakeholders; evaluation means for effectiveness of coastal zone integrated management; and dualization of coastal zone management indicator system; etc. Lastly, based on these common values revealed in the domestic and international coastal management indicator system, a suggestion for correct establishment of the domestic coastal management indicators was proposed in the regional aspect.

• Journal of the Korean association of regional geographers
• /
• v.20 no.4
• /
• pp.357-378
• /
• 2014

The concern on new regional geography in Korea has emerged in the 1990s under the influence of paradigm shift of Western geography, that is, the withering of positivist geography and the introduction of grand social theories into geography. New regional geography in Korea also seems to have developed in the rapidly changing process of glocalization of capitalism which has accompanied with the transformation toward post-Fordism with high-tech innovation, development of transportation and communication technology with time-space compression, and increasing social and cultural mobility with change of identity. But it can be pointed out that discussion on methodology for regional geography in Korea has been shrunken since the mid 2000s, and there has been relatively little empirical research with synthetic approach to region. But more concern on methodology in terms of place, territory, network, scale, etc. rather than the concept of region itself has increased, and empirical researches on regions in specific fields of human geography have been promoted. It is argued that the traditional distinction between synthetic and analytic approaches seems no longer significant. But geographers need to extend the concept of region in relation to other diverse spatial concepts, and to purse simultaneously structural analysis on glocalization process and practical strategies responding positively to the process.