• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.4
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• pp.594-601
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• 2006

Coding of occupational and industrial codes is a major operation in census survey of Korean statistics bureau. The coding process has been done manually. Such manual work is very labor and cost intensive and it usually causes inconsistent results. This paper proposes an automatic coding system based on example-based learning. The system converts natural language input into corresponding numeric codes using code generation system trained by example-based teaming after applying manually built rules. As experimental results performed with training data consisted of 400,000 records and 260 manual rules, the proposed system showed about 76.69% and 99.68% accuracy for occupational code classification and industrial code classification, respectively.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.143-150
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• 2012

In Korea more than 38,000 types of hazardous material(HAZMAT) are distributed, accordingly the accidents during transportation are also increasing. The agencies related to HAZMAT such as Environment Ministry, National Emergency Management Agency and National Police Agency have their own regulations. However, the classification criteria of HAZMAT are different to each other, which causes many problems in response to transportation accidents. In this study the classification standard of HAZMAT and the classification code using CAS number are suggested to manage HAZMAT efficiently. Through efficient management and standard classification of HAZMAT, the rapid and systematic response to transportation accidents related to HAZMAT is expected to be possible.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.9-14
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• 2015

The study is conducted in order to establish validity of industrial safety field's neo-qualification composition by suggesting reengineering procedure of NCS based industrial safety field's qualifying occupational plan. Industrial safety fields are first classified into great classification which are environment energy safety, and then into sub-classification which are industrial safety management, industrial health management, and nondestructive test. NCS based neo-qualification plan is deveopled into progress as following steps; First, planning NCS neo-qualification system. Second, presenting work education combined program certification standard. Third, developing NCS based neo-qualification assessment standard. Fourth, developing work education qualification prototype problem. The process of qualification plan was composed with Worksheet 14 and with 4phase being completing summary of each section, certification and development of assessment standard, and development of prototype problem. As a result, Industrial safety manager was redesigned into Industrial sfety manager and Construction Safety Manager, and Occupational Health Care Manager was redesigned into Occupational Health Care Manager and Industrial Health Manager. This study, in conclusion, suggests development of qualifying occupation that could be applied to the integrated management system and development of future industrial safety field's specialized neo-qualifying occupation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.71-80
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• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.2
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• pp.1-6
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• 2001

This paper proposes a pattern classification method of interval vectors by interval neural networks. The proposed method can be applied to pattern classification where attribute values of each sample are given as interval numbers. First, an architecture of interval neural networks is proposed for dealing with interval input vectors. Next, a learning algorithm is derived from the cost function. a cost function is defined using the interval output from the interval neural network and the corresponding target output. Last, using numerical examples, the proposed approach is illustrated and compared with other approach based on the standard back-propagation neural networks.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.1-19
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• 2018

Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.

• Korean Journal of Oriental Medicine
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• v.10 no.1
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• pp.97-105
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• 2004

1. To define 'Korean medicine industry' through study on existing medicine related industries, Korean medicine industry means all industrial activities related to Korean medicine. It covers material resources such as herbs and products made with herbs, medical instruments, Korean medical service and related information service based on Korean medicine theories. 2. According to Korea National Statistical Office standard industrial branch, Korean medicine industry was classified as a large branch. There were industries such as agriculture, food and beverage manufacture, publishing, copy of prints and record media, manufacture of compound and chemical products, medical service, manufacture of precise optical instruments, wholesale trade and product mediation, retail trade, restaurant, research and development, education service, health preservation service, entertainment, culture and sports industry related to the Korean medicine industry. 3. If we classify this according to the industry branch of English economists Clark, Colin Grant, herb cultivating industry will be classified as primary industry, manufacture of foot and beverage related to Korean medicine, secondary industry and wholesale and retail sales of herb, research and development, education, health preservation, social welfare, tertiary industries.

• Journal of Information Management
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• v.37 no.4
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• pp.125-139
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• 2006

The advent of the internet has caused a number of changes in production and dissemination of science and technology information(STI). STI was mainly produced in the form of publication before the advent of the internet. The popularization of the internet, however, has induced the mass production and distribution of STI through the internet. In consequence, the importance and usefulness of on-line STI have become on a level with those of published STI. The rapid growth of quantity and quality of on-line STI forces information service organizations try their best for improving the service satisfaction. In an effort to improve the satisfaction, researchers on information management examined the classification of information resources by exploring the counterparts of bibliography and/or web information service. We examined the national standard of the classification related to science and technology and proposed a practical scheme for the classification of on-line STI resources.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.23 no.1
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• pp.11-19
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• 2013

Backgrounds: Occupations are grouped on the basis of similarity in tasks and duties performed. Standard occupational classification (SOC) is a tool for organizing all professions into a clearly defined set of groups according to the tasks and duties undertaken in the respective jobs. Objectives: The major objective of this study is to comprehensively review how a SOC system is used in occupational and safety fields such as surveillance, exposure monitoring, occupational epidemiological study, management of carcinogens and analysis of occupational accidents. Methods: We summarized the cases, policies and regulations used in SOC systems in advanced countries and as they appear in articles Results: We found that SOC systems have been widely used in various areas of occupational safety and health in the US, the UK, Finland, and the EU. In general, it is highly common to use SOC in the analysis of occupational accidents and diseases and to identify factors causing those accidents. The SOC system is also used not only for surveillance of exposure to hazardous agents and occupational health, but to manage carcinogens. In order to adjust the effects of a particular job, SOC is used in the general population health area. The Ministry of Employment and Labor (MOEL) has never used or introduced an SOC system. There have been no cases of the application of a SOC system to either the occupational safety and health field or to health surveillance for the general population in Korea. Conclusions: We suggested a need to introduce an SOC system in several occupational safety and health activities, such as work environment measurement, analysis of occupational accidents, specific physical examination and surveillance systems, etc.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.221-230
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• 2017

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.