• Journal of Information Technology Services
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• v.19 no.2
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• pp.109-124
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• 2020

Facing the 4^th Industrial Revolution era, researches on artificial intelligence have become active and attempts have been made to apply machine learning in various fields. In the field of finance, Robo Advisor service, which analyze the market, make investment decisions and allocate assets instead of people, are rapidly expanding. The stock price prediction using the machine learning that has been carried out to date is mainly based on the prediction of the market index such as KOSPI, and utilizes technical data that is fundamental index or price derivative index using financial statement. However, most researches have proceeded without any explicit verification of the prediction rate of the learning data. In this study, we conducted an experiment to determine the degree of market prediction ability of basic indicators, technical indicators, and system risk indicators (AR) used in stock price prediction. First, we set the core parameters for each financial indicator and define the objective function reflecting the return and volatility. Then, an experiment was performed to extract the sample from the distribution of each parameter by the Markov chain Monte Carlo (MCMC) method and to find the optimum value to maximize the objective function. Since Robo Advisor is a commodity that trades financial instruments such as stocks and funds, it can not be utilized only by forecasting the market index. The sample for this experiment is data of 17 years of 1,500 stocks that have been listed in Korea for more than 5 years after listing. As a result of the experiment, it was possible to establish a meaningful trading strategy that exceeds the market return. This study can be utilized as a basis for the development of Robo Advisor products in that it includes a large proportion of listed stocks in Korea, rather than an experiment on a single index, and verifies market predictability of various financial indicators.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.3
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• pp.13-18
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• 2023

Purpose: The small-scale environmental impact assessment has been in operation since its implementation in August 2000, and is a system that meets the purpose of sustainable development in consideration of the environment in areas requiring conservation. However, when preparing a small environmental impact assessment report, the contents of the reduction measures are too qualitative, or reports are prepared to simply list the compliance stipulated by individual laws, and the contents of consultations prepared by consultative agencies and review agencies are not much different. In addition, the direction of consultation on development projects for similar locations of the same project type is frequently changed by reflecting the subjective judgment of the consultative officer of the Ministry of Environment (Environment Agency). Therefore, this study attempted to improve the establishment of measures to reduce the existing simple listing of qualitative contents and the inconsistent presentation of review opinions by consultative agencies and review agencies. Research design, data and methodology: The research method extracted absolute evaluation items and relative evaluation items among small environmental impact assessment items, analyzed and presented detailed items, and prepared a distribution table for each section according to the details of the relative evaluation items, and presented them as a table. Results: This study was conducted to derive uniform results with objective indicators in the preparation and consultation process of a small-scale environmental impact assessment. Conclusions: Once a quantitative evaluation is established, the consultant can objectively determine and process the environmental impact.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.6D
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• pp.703-709
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• 2009

This article analyzes the obtained data on consciousness survey of disabled and non-disabled pedestrians, and proposes fundamental data for public strategy in order to enhance facilities in subway stations in advance. This paper conduct literature review, new listing survey related to 'The Code for Improvement of Convenience for Moving Vulnerable Pedestrians', and Modified-Importance-Performance Analysis (M-IPA). The results show that disabled pedestrians want enhancement in information facilities as a whole. In addition, the results show that several improvements needs to be applied to accessible sidewalk, to informative notification, to alarm and evacuation system and to toilet for disabled pedestrians. This indicates that disabled pedestrians heavily concentrate on accessibility to subway station and provided information compared with disabled pedestrians.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.18 no.2
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• pp.1-8
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• 2023

Objectives This study aimed to propose biomarkers for diagnosing Chuna manual therapy (CMT) based on X-ray images in the thoracic and lumbar spines. Methods Through a literature review and expert consensus process, diagnostic biomarkers for CMT were selected based on the listing system in thoracic and lumbar radiograph anterior-posterior (AP) and lateral views. Results 1. Diagnostic biomarkers were derived from four points on the outer contour of the vertebral body in the thoracic and lumbar spine radiograph lateral view, enabling the diagnosis of flexion and extension malposition. 2. Additional diagnostic biomarkers were identified in the thoracic and lumbar radiographAP view, utilizing points on the outer contour of the vertebral body. These biomarkers facilitate the diagnosis of lateral bending. Moreover, biomarkers derived from the innermost point of the pedicle contour allow for the diagnosis of rotation malposition. 3. Furthermore, through the biomarkers proposed in this study, all malpositions of the thoracolumbar spines and complex Type I and II malpositions can be diagnosed in CMT. Conclusions The biomarkers reported in this study consist of minimal points to determine the position of the vertebral body, providing the advantage of simplicity while minimizing potential errors during the CMT diagnostic process. Further clinical research and the development of related programs should be pursued to expand the evidence for CMT.

• Journal of Yeungnam Medical Science
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• v.2 no.1
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• pp.95-102
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• 1985

This report offers descriptive data about the drugs utilized in out patient department (OPD) of Yeungnam University Hospital (YUH) in the period of march to august in 1985. The data in this report were produced by the computerized totalization of the number of mentions of individual drugs included in the prescriptions. The 100 drug entries that were most frequently recorded are listed in rank order. The listing is arbiturarily restricted to the drugs that were prescribed as single preparations, the drugs of basis of compound preparations and the drugs of adjuvent or corrective of compound preparations that have significant therapeutic effects either by generic names. And in addition, the listing also involves the compound preparations used in relatively large frequency, and the individual components of which have the unique pharmacological actions each other by proprietary names. And all routes of administrations were allowed. The 10 drugs most frequently named are diazepam, aluminum compounds, acetaminophen, isoniazid, metoclopramide, $polaramine^{(R)}$, carboxymethylcystem, ephedrine, codeine and caroverine in order. The 521,855 drug mentions listed as above are described by the chief therapeutic usage that each is intended to apply generally. The drugs which account the largest proportion of total mentions were those acting on the central nervous system (20.57%), including tranquilhzers and sedative hypnotics (11.71%), analgesic antipyretics (5.55%), antidepressants (2.15%) etc. Gastrointestinal drugs and smooth muscle preparations (18.64%) included antacids and anti-ulcer drugs (9.24%), antiemetics (3.57%), spasmolytics (3.14%) and others. Respiratory drugs (16.11%) included expectorants and cough preparations (10.99%) and bronchodilators (5.12%). Chemotherapeutic agents (15.12%) included the antiTbc drugs (7.09%) most frequently, and the penicillins (3.33%) accounted the largest proportion among the antibiotics. Cardiovascular drugs (5.64%) included cardiac drugs and coronary vasodilator (4.12%) and antihypertensives and vasodilators (1.06%). And anti-inflammatory drugs (4.33%), vitamins of single preparations (3.76%), hormones and their antagonists (3.29%), common cold preparations (3.12%), diuretics (2.81%), drugs supporting liver function (2.02%), drugs affecting autonomic nervous system(1.89%) including anti-glaucomas, atropine and cerebral vasodilators, antihistamine drugs (1.02%) and disinfectants (0.74%) were following in order. The data in this report were compared to those reported by H. Koch, et al. in United States (US), 1981 as "Drugs Most Frequently Used in Office Practice:National Ambulatory Medical Case Survey, 1981." Cardiovascular drugs prescribed in YUH were much less in proportion than in US (10.56%), but gastrointestinal drugs accounted the larger proportion than in US (3.72%). Expectorants and cough preparations in YUH also accounted the larger proportion than in US (2.74%). In conclusion, in the period of march to august, 1985, OPD of YUH prescribed the CNS drugs including diazepam most frequently, and gastrointestinal, repiratory and chemotherapeutic drugs in next orders. It is supposed that the eating habits of Koreans and a unique atmospheric condition in Taegu as a basin were some important factors that affected the proportions of drugs acting on gastrointestinal and respiratory tracts.

• Korean Journal of Ecology and Environment
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• v.53 no.1
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• pp.1-10
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• 2020

The Stream/River Ecosystem Survey and Health Assessment has been carried out regarding the ecological health of the streams by the Ministry of Environment (MOE), South Korea. However, the sources of impairment of the stream ecosystem and the interactions between the sources, stressors, and the responses of impaired streams have not been taken into consideration. The purpose of this study is to propose the establishment of diagnosis systems for the impaired stream ecosystem because of the need to incorporate the same in the making of the policy to enable the recovery and improvement of the health of the impaired streams or river ecosystem. First, we define the concept of a diagnosis of the impaired stream or river ecosystem through a literature review. Second, through case studies [e.g., US CADDIS (Causal Analysis/Diagnosis Decision Information System), AUS. Eco Evidence, EU WFD (Water Framework Directive)], we try to develop the diagnosis system for the making of policy. In this study, the diagnosis system that is proposed consists of eight steps including the basic data collection, detecting or suspecting impairment, defining the impaired stream reach, identifying the biological impaired cases and listing the candidate causes, illustrating the interactive conceptual diagrams between stressors and responses, investigating the stressors-responses in the field, verifying causes and identifying the probable causes of the impaired cases, and summarizing and proposing the restoration of the streams. The results of this study will support and enable efficient decision-making for sustainable stream restoration and management based on the diagnosis of the probable causes for the impaired complex and the diverse stream ecosystem.

• Environmental and Resource Economics Review
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• v.26 no.1
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• pp.103-121
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• 2017

The domestic ESCO project was introduced in 1992 as one of the energy efficiency improvement programs. In recent energy market, the changes in the market conditions such as smart grid, renewable energy, and the importance of demand response became important issues. As the diversified business models are required, examples of overseas exercises are examined. Business areas in Europe or the US where the ESCO industry has been active include measures to improve the efficiency of energy facilities in all areas, ranging from energy supply facilities and energy services to end users. This type of ESCO overseas business model can be classified into various types such as project execution method, supplier demand management, financing method, climate change and emission rights, new and renewable energy, and other criteria. In this study, we propose to adopt IEC (Integrated Energy Contracting) contract method in domestic ESCO market for additional business models. Current convention of listing the specific individual business types being allowed by regulation turned out to be obstacles to the revitalization of the related market. In order to achieve the goal of energy conservation, it is recommended, instead, to revise the current funding guidelines to be a negative system.

• Knowledge Management Research
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• v.21 no.3
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• pp.197-213
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• 2020

This study analyzed the impact of information security service company certification on financial performance. The purpose of this study was to analyze the effect of the "Information Security Service Certification Company" system from a financial point of view for information security service certified & non-certified companies, and listed & unlisted companies. From a financial point of view, performance analysis was conducted using two-way ANOVA on sales, operating profit, and profit rate. This study verified whether there is a difference in management performance between an information security service certified company and an uncertified company. In the financial performance indicators of sales, operating profit, and profit rate, the information security service certification system showed an impact on financial performance because the information security service certification company showed better management performance than the uncertified company. The implications of this study are that the empirical performance analysis from the financial point of view of the information security service certified company system can be used as a basis for negative regulatory policies to revitalize the information security industry in the future, contributing to the growth of information security companies with excellent growth potential.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.364-371
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• 2019

The World Health Organization (WHO) announced the 11th International Classification System (ICD-11), which classifies game addiction as a disease in 2018. Sin stocks are defined as the companies that have negative addictive properties and are taxed on social costs. If a game disorder is listed in the disease classification system in Korea, it is highly likely that Korean game companies may be considered as sin stocks that causes negative addictive properties and social costs such as the game addiction and the game addiction tax. This suggests that game companies could be newly included in the scope of sin stocks in Korea. In this study, we examine the effect of the inclusion of game companies in the scope of sin stocks on the job preferences of game companies. We found that there is a high level of opposition to the opinion of the listing sin stocks of game companies, and a high degree of addiction and gambling was suggested as the cause of the game companies being classified as sin stocks. We also found that firm value and job preference would be decrease if a game company was classified as sin stocks. The study is meaningful in that it suggests that game companies can be perceived negatively as sin stocks due to the disease code of game disorder, which has recently emerged as a social issue. Also, this study will contribute to the academia and market participants by reporting statistically the effect of the classification of sin stocks in game companies on job preferences for game companies.

• Journal of KIISE
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• v.44 no.2
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• pp.139-147
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• 2017

Most of the information prevailing in the Internet space consists of textual information. So one of the main topics regarding the huge document analyses that are required in the "big data" era is the development of an automated understanding system for textual data; accordingly, the automation of the keyword extraction for text summarization and abstraction is a typical research problem. But the simple listing of a few keywords is insufficient to reveal the complex semantic structures of the general texts. In this paper, a text-visualization method that constructs a graph by computing the related degrees from the selected keywords of the target text is developed; therefore, two construction models that provide the edge relation are proposed for the computing of the relation degree among keywords, as follows: influence-interval model and word- distance model. The finally visualized graph from the keyword-derived edge relation is more flexible and useful for the display of the meaning structure of the target text; furthermore, this abstract graph enables a fast and easy understanding of the target text. The authors' experiment showed that the proposed abstract-graph model is superior to the keyword list for the attainment of a semantic and comparitive understanding of text.