• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.127-132
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• 2019

Exercising and stretching are essential for the growth of children, but recently, children's outdoor activities are limited due to social risks such as fine dust and child crime. It has increased the need for children's programs that can be safely and easily followed indoors. In this paper, we developed a system to induce and manage children's voluntary stretching to support growth. The system developed in this paper recognizes the child's stretching motions in real-time using Kinect to evaluate the match rate with the standard motions. The system gives users the results with a calendar and check stamp to provide voluntary motivation for the child and to provide parents with systematic management of the child's progress.

• Fire Science and Engineering
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• v.28 no.2
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• pp.69-75
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• 2014

This study derives the factors which affect the occurrence of arson from statistical data (population, economic, and social factors) by multiple regression analysis. Multiple regression analysis applies to 4 forms of functions, linear functions, semi-log functions, inverse log functions, and dual log functions. Also analysis respectively functions by using the stepwise progress which considered selection and deletion of the independent variable factors by each steps. In order to solve a problem of multiple regression analysis, autocorrelation and multicollinearity, Variance Inflation Factor (VIF) and the Durbin-Watson coefficient were considered. Through the analysis, the optimal model was determined by adjusted Rsquared which means statistical significance used determination, Adjusted R-squared of linear function is scored 0.935 (93.5%), the highest of the 4 forms of function, and so linear function is the optimal model in this study. Then interpretation to the optimal model is conducted. As a result of the analysis, the factors affecting the arson were resulted in lines, the incidence of crime (0.829), the general divorce rate (0.151), the financial autonomy rate (0.149), and the consumer price index (0.099).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.10 no.4
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• pp.59-71
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• 2000

Due to the advance of computer and communication technology, intrusions or crimes using a computer have been increased rapidly while various information has been provided to users conveniently. As a results, many studies are necessary to detect the activities of intruders effectively. In this paper, a new association algorithm for the anomaly detection model is proposed in the process of generating user\`s normal patterns. It is that more recently observed behavior get more affection on the process of data mining. In addition, by clustering generated normal patterns for each use or a group of similar users, it is possible to identify the usual frequency of programs or command usage for each user or a group of uses. The performance of the proposed anomaly detection system has been tested on various system Parameters in order to identify their practical ranges for maximizing its detection rate.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.371-379
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• 2022

Darknet is based on the characteristics of anonymity and security, and this leads darknet to be continuously abused for various crimes and illegal activities. Therefore, it is very important to detect and classify darknet traffic to prevent the misuse and abuse of darknet. This work proposes a novel approach, which uses the Gradient Boosting techniques for darknet traffic detection and classification. XGBoost and LightGBM algorithm achieve detection accuracy of 99.99%, and classification accuracy of over 99%, which could get more than 3% higher detection accuracy and over 13% higher classification accuracy, compared to the previous research. In particular, LightGBM algorithm could detect and classify darknet traffic in a way that is superior to XGBoost by reducing the learning time by about 1.6 times and hyperparameter tuning time by more than 10 times.

• Convergence Security Journal
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• v.23 no.5
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• pp.117-123
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• 2023

Recently, as the demand for Generative Artificial Intelligence (AI) and artificial intelligence has increased, the seriousness of misuse and abuse has emerged. However, intelligent CCTV, which maximizes detection of abnormal behavior, is of great help to prevent crime in the military and police. AI performs learning as taught by humans and then proceeds with self-learning. Since AI makes judgments according to the learned results, it is necessary to clearly understand the characteristics of learning. However, it is often difficult to visually judge strange and abnormal behaviors that are ambiguous even for humans to judge. It is very difficult to learn this with the eyes of artificial intelligence, and the result of learning is very many False Positive, False Negative, and True Negative. In response, this paper presented standards and methods for clarifying the learning of AI's strange and abnormal behaviors, and presented learning measures to maximize the judgment ability of intelligent CCTV's False Positive, False Negative, and True Negative. Through this paper, it is expected that the artificial intelligence engine performance of intelligent CCTV currently in use can be maximized, and the ratio of False Positive and False Negative can be minimized..

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.8
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• pp.927-938
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• 2014

A number of crime and disease relief situation show a clear increasing trend in domestic and overseas country. In particular, we desperately need a fast location information sharing with high accuracy for dealing with this situation efficiently. In this paper, we propose a DGPS framework and performance evaluation based on Web service enable increase location accuracy using low-cost GPS or AGPS. The framework consists of mobile station to realize the final service by receiving the correction values that are created in the base station closest to the current position from DGPS server, base station system to transmit the correct values to DPGS server by installing at base point and DGPS framework working at DGPS server. Our framework is fundamentally designed to respond based on XML to service request. In addition, for performance evaluation, we make use of 3 sites of Level 2 city base-station among the base stations being operated in Suncheon-si. Through performance evaluation, we show that our framework outperforms about 10%~15% in terms of error improvement rate, compared with the existing schemes. And we have the advantage that various services can be expanded owing to receiving the correction values through mobile device such as, smart phone, smart pad, net-book by using XML based Web services.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.481-488
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• 2012

As an exploratory research to understand the nature of relationships between ports and their neighboring communities, this study analyzes how ports influence their residents' quality of life(QOL). The QOL was measured by 17 indicators reconstructed by reviewing relevant literatures. As a result, both Busan port and Dalian port were found to have statistically significant influence on many of QOL indicators including general expenditure per capita, number of manufacturing factories per capita, number of factories's laborer per capita, the rate of pavement, number of traffic accident per capita, rate of housing supply, number of financial agencies per capita, park area per capita, number of cultural assets per capita, the size of welfare expenditure per capita, number of fire occurrence per capita. And Busan port have statistically significant influence on QOL indicators including the rate of increase in population, number of public health industries per capita, number of public health industries per capita, number of schools per capita, number of sick-beds per capita, but Dalian port not have influence. Also Dalian port have statistically significant influence on number of crime occurrence per capita, but Busan port not have influence.

• Child Health Nursing Research
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• v.20 no.4
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• pp.237-246
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• 2014

Purpose: Helicopter parenting is an emerging concept as a way of rearing adolescents and adult children. However, helicopter parenting from a nursing perspective has not been elucidated. Therefore, we undertook a concept analysis to understand the attributes, antecedents and consequences of helicopter parenting in the context of nursing. Methods: Using Rodgers' evolutionary concept analysis, we analyzed literature on helicopter parenting to discover critical attributes, antecedents, and consequences of this phenomenon. Data were collected from seven electronic search engines. Twelve studies matching inclusion criteria were reviewed. Results: Three core attributes of helicopter parenting were hovering, highly deep involvement, and proxy decision making. The antecedents and consequences were retrieved from three important domains including social, parent, and child aspects. Surrogate terms were black hawk, hummingbird, and hovercraft parenting, and related terms were stealth fighter and Kamikaze parenting. Conclusion: Based on the results of this study, helicopter parenting has both positive and negative effects on both children and parents. To enhance the positive effects, measurement tools for helicopter parenting and nursing interventions on parenting need to be developed.

• Journal of the Korean association of regional geographers
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• v.3 no.1
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• pp.81-98
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• 1997

This treatise made a general survey of the welfare policy in our country, and examined the present condition of welfare facilities and distributional trait in Taegu, setting the limits of welfare to welfare facilities. As the result, I could get conclusion like this. First, the present condition of welfare facilities in Taegu exceeds the national average value. Second, the distribution of housing facilities generally corresponds with the distributional area of low-income class and has an unbalanced distributional trait. Third, public facilities are distributed in periphery of the city and we can see they are regarded as loathsome facilities. Lastly, most of the welfare facilities except welfare house are small-scale and worn-out and also petty because they are run by individuals. With basis on this result of the research. I want to make these suggestions. That is, the improvement in quality than in quantity must be made. In addition, until now welfare facilities have restricted users, but from now on they must be converted to public services for most of a nation. To realize those things, welfare facilities must be located in the site where traffic is convenient and medical facilities are neighboring. In conclusion, the socialization of welfare facilities must be carried out.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.497-510
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• 2015

The jury instruction consists of a set of legal rules and provides a guide for jurors to interpret evidence and the legal standard of a proof beyond reasonable doubt. Jury instructions are usually given after the closing arguments (at the end of the trial). But some research has shown that jury instruction provided before the evidence may have an impact on verdict. The present study was to determine the cognitive process caused by early instruction: (1) Early instruction may influence the verdict by upwardly adjusting the threshold for the decision to convict; (2) early instruction may influence the verdict through evaluations of the probative values of evidence; (3) Or both. 187 people older than 20 years of age participated in the on-line survey. With a trial scenario, one independent variable, Instruction Procedure, was manipulated in three levels: before-and-after the evidence procedure, after-only evidence procedure, and no-instruction procedure. The instruction procedure conditions did not show any difference in the evaluation of the probative values of evidence. On the other hand, before-and-after condition showed the lowest rate of guilty verdict and the highest probability of guilt for the defendant in the scenario. This latter result clearly suggested that the instruction procedure affects the decision threshold. Specifically, instruction provided twice, once before and again after the evidence, may upwardly shift the threshold for the decision to convict.