• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2460-2470
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• 2009

In this study, the parameter extraction for evaluation of the anesthesia depth in each anesthesia stages was conducted. An object of the this experiment study has studied 5 adult patients (mean $\pm$ SD age:$42{\pm}9.13$), ASA classification I and II, undergoing surgery of obstetrics and gynecology. Anaesthesia was maintained with Enflurane. HRV signal was created by R-peak detection algorithm form ECG signal. The HRV data were preprocessing algorithm. It has tried find out the anesthesia parameter which responds the anesthesia events and shows objective anesthesia depth according to anesthesia stage including pre-anesthesia, induction, maintenance, awake and post-anesthesia. In this study, proposed algorithm to analysis the HRV(heart rate variability) signal using wavelet transform in anesthesia stage. Three sorts of wavelet functions applied to PSD. In the result, all of the results were showed similarly. But experiment results of Daubeches 10 is better. Therefore, this parameter is the best parameter in the evaluation of anesthesia stage.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.709-718
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• 2016

The study considers viewpoints for qualitative improvement of landscape planning based on research literature, books and reports. By classifying items used in this study, evaluation criteria was derived for viewpoint selection using SPSS Statistics. In addition, we establish weights and prioritize viewpoints by measuring the relative importance within the hierarchical index. The analysis results are as follows: First, 16 viewpoints were determined using surveys from experts to establish specific and systematic plans for landscape simulation. Second, with respect to the medium classification level of viewpoint evaluation, the most important factor found was 'view' followed by 'publicness' and 'place.' Third, priority by viewpoint was found to exhibit the following order of relative importance: visual openness of viewpoint, favorability as view target, cultural property space, historicity, public place, gateway place, area where the target can be observed, thickly-populated or most-used place, place where various shapes of targets and surrounding landscape can be identified, ecological protection area, river and waterside area, viewing angle (relief-etching), viewing direction, major roads, distance between the viewpoint and the target, and plains and farmland. These results can contribute to developing systematic and reliable analysis frame for qualitative improvement of landscape planning and evaluating landscape simulation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.440-446
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• 2016

Military secrets or confidential data of any organization are extremely important assets. They must be discluded from outside. To do this, methods for detecting anomalous attacks and intrusions inside the network have been proposed. However, most anomaly-detection methods only cover aspects of intrusion from outside and do not deal with internal leakage of data, inflicting greater damage than intrusions and attacks from outside. In addition, applying conventional anomaly-detection methods to data exfiltration creates many problems, because the methods do not consider a number of variables or the internal network environment. In this paper, we describe issues considered in data exfiltration detection for anomaly detection (DEDfAD) to improve the accuracy of the methods, classify the methods as profile-based detection or machine learning-based detection, and analyze their advantages and disadvantages. We also suggest future research challenges through comparative analysis of the issues with classification of the detection methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.382-395
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• 2016

The purpose of this study is to examine how area characteristics influence the health of a population in a particular area by investigating how area deprivation and social capital influence self-rated health. For this study, a multi-level logistic regression was employed to analyze the data collected by Community Health Survey conducted on a target population of 229,186 living at 253 administrative areas of Korea in 2011. First, an analysis was conducted for subjects who have rated their self-health assessment as 'fair', 'poor', and 'very poor' in a 5 -item response survey. Then, a second analysis was conducted for the same subjects by excluding those with a rating of 'fair'. As a result, we found that area deprivation significantly influenced the population's health, according to our second analysis, while it was not significant according to our first analysis. Moreover, social capital was not significant in both analyses. Area deprivation-although the value of it was not so high-seems to explain the differences of individual self-rated health assessment as a contextual effect. In addition, influence of area characteristics is not limited to certain local areas, but to all local areas of Korea. Therefore, it is suggested that efforts to improve area characteristics are necessary to upgrade the individual's health level. A standardized classification system-distinguishing between good and poor self-rated health-is necessary through further comparative studies on self-rated health assessment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.520-526
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• 2016

This study aims to develop a distress prediction model, in order to evaluate the distress prediction power for first-class hotels and to calculate the average financial ratio in the Seoul area by using the financial ratios of hotels in 2015. The sample data was collected from 19 first-class hotels in Seoul and the financial ratios extracted from 14 of these 19 hotels. The results show firstly that the seven financial ratios, viz. the current ratio, total borrowings and bonds payable to total assets, interest coverage ratio to operating income, operating income to sales, net income to stockholders' equity, ratio of cash flows from operating activities to sales and total assets turnover, enable the top-level corporations to be discriminated from the failed corporations and, secondly, by using these seven financial ratios, a discriminant function which classifies the corporations into top-level and failed ones is estimated by linear multiple discriminant analysis. The accuracy of prediction of this discriminant capability turned out to be 87.9%. The accuracy of the estimates obtained by discriminant analysis indicates that the distress prediction model's distress prediction power is 78.95%. According to the analysis results, hotel management groups which administrate low level corporations need to focus on the classification of these seven financial ratios. Furthermore, hotel corporations have very different financial structures and failure prediction indicators from other industries. In accordance with this finding, for the development of credit evaluation systems for such hotel corporations, there is a need for systems to be developed that reflect hotel corporations' financial features.

• Review of Culture and Economy
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• v.21 no.2
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• pp.53-88
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• 2018

Among the cultural industries, the game industry is the most economically valuable industry. It has been about twenty years since the game policy has been implemented and the game laws have been enacted. If the law is a willing expression for the realization of the policy, the orientation of the game policy can be grasped through revision of the game laws. SOUND RECORDS, VIDEO PRODUCTS, AND GAME SOFTWARE ACT, established in 1999, and GAME INDUSTRY PROMOTION ACT, which was enacted in 2006, are regulated by many revisions. In this paper, I try to understand the direction and meaning of Korean game policy(classification, game dysfunction, gambling, industry growth) through the contents of the revision of the game law for 20 years. The game policy shown through the amendment of the game law is intended to protect the game by regulating the game, and to protect the game user by preventing the gambling and preventing the game dysfunction, and to increase autonomy of users and choice of producers by switching to self rating system, and based on this, an environment for continuous industrial growth is created. In the future, game policies should consider cooperation with social areas beyond game-specific areas. On the other hand, it needs to respond to new agendas such as polarization of industrial structure, fair environment, employment environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.580-586
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• 2021

The CAT methodology is a numerical analysis technique using CAE. Recently, a methodology of applying artificial intelligence techniques to a simulation has been studied. A previous study compared the deformation results according to the injection molding process using a machine learning technique. Although MLP has excellent prediction performance, it lacks an explanation of the decision process and is like a black box. In this study, data was generated using Autodesk Moldflow 2018, an injection molding analysis software. Several Machine Learning Algorithms models were developed using RapidMiner version 9.5, a machine learning platform software, and the root mean square error was compared. The decision-tree showed better prediction performance than other machine learning techniques with the RMSE values. The classification criterion can be increased according to the Maximal Depth that determines the size of the Decision-tree, but the complexity also increases. The simulation showed that by selecting an intermediate value that satisfies the constraint based on the changed position, there was 7.7% improvement compared to the previous simulation.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1155-1178
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• 2018

Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.290-298
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• 2019

This study investigated a total of 22 types (15 types of natural disasters and seven types of social disasters) of disaster and safety data based on the National Daily Situation Report, Disaster Yearbook and annual Disaster Annals issued by the Ministry of Public Administration and Security. Disaster safety data were collected from the daily situation report of MOIS (Ministry of the Interior and Safety). The number of total data cases were 1,760, of which 656 were natural disasters and 1,104 were social disasters. The disasters were then patternized according to their characteristics. The patterning was conducted to set up the disaster and safety data system designed to keep disaster situations under prompt and effective management. The study analyzed the data associated with the activities in the response and recovery stages according to the disaster type. Furthermore, based on the management activities performed with the flow of time following a disaster, this study classified and proposed disaster and safety data patterns to achieve effective disaster management work by analyzing the characteristics of a disaster and safety data and disaster and safety management procedures. Disasters of high similarity were classified by merging and deleting them. This was done to consider the scalability and mutual linkage so that it can be used in the establishment of national statistical data, such as the disaster annual report and disaster annuity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.252-266
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• 2019

The purpose of this study was to identify the type of health behaviors in Korean adults and to identify related factors. The data used in the analysis was the Korea Health and Nutrition Examination Survey 2014., which was representative of the Korean population. Cluster analysis was used to find the pattern of clustering of smoking, drinking, exercising and nutrition. Differences in the pattern of clustering was examined, first by bivariate chi-square test, and then by multinomial logit regression. Lastly, the association between the clusters of health behaviors and other behavioral risk factors was tested by chi-square test and logistic regression. The distribution of the clusters varied not only across socioeconomic characteristics and local size, but also between individuals with certain chronic diseases and those without. The results of this study can be used as a basis for the usefulness of approaching the cluster rather than individually approaching the health behavior.