• Journal of the Korea Society for Simulation
• /
• v.23 no.1
• /
• pp.21-31
• /
• 2014

In this article, data mining simulation is applied to find a proper approach and results of analysis for study of variables related to organization. Also, turnover intention and organizational commitment are used as target (dependent) variables in this simulation. Classification and regression tree (CART) with ensemble methods are used in this study for simulation. Human capital corporate panel data of Korea Research Institute for Vocation Education & Training (KRIVET) is used. The panel data is collected in 2005, 2007, and 2009. Organizational commitment variables are analyzed with combined measure variables which are created after investigation of reliability and single dimensionality for multiple-item measurement details. The results of this study are as follows. First, major determinants of turnover intention are trust, communication, and talent management-oriented trend. Second, the main determining factors for organizational commitment are trust, the number of years worked, innovation, communication. CART with ensemble methods has two ensemble CART methods which are CART with Bagging and CART with Arcing. Comparing two methods, CART with Arcing (Arc-x4) extracted scenarios with very high coefficients of determination. In this study, a scenario with maximum coefficient of determinant and minimum error is obtained and practical implications are presented. Using one of data mining methods, CART with ensemble method. Also, the limitation and future research are discussed.

• Journal of the Korea Convergence Society
• /
• v.8 no.6
• /
• pp.29-36
• /
• 2017

In this paper, we propose a method for generating improved saliency map by learning multiple features to improve the accuracy and reliability of saliency map which has similar result to human visual perception type. In order to overcome the inaccurate result of reverse selection or partial loss in color based salient area estimation in existing salience map generation, the proposed method generates multi feature data based on learning. The features to be considered in the image are analyzed through the process of distinguishing the color pattern and the region having the specificity in the original image, and the learning data is composed by the combination of the similar protrusion area definition and the specificity area using the LAB color space based color analysis. After combining the training data with the extrinsic information obtained from low level features such as frequency, color, and focus information, we reconstructed the final saliency map to minimize the inaccurate saliency area. For the experiment, we compared the ground truth image with the experimental results and obtained the precision-recall value.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.2
• /
• pp.137-143
• /
• 2018

This research aims to analyze the effects of stress management and family cohesion on middle-aged women. Research subjects were 322 middle-aged women living in cities K and Y ranging between 40-60 years of age. A frequency analysis, reliability analysis, and hierarchical regression analysis were carried out utilizing the SPSS 18.0 statistics program. Firstly, results showed that the most frequently shown subjects were between 40-49 years old (59.3%), married (82.7%, 267), high school graduates or less (63.2%, 204), and practiced religion (77.6%, 250). Secondly, stress management, family cohesion, and happiness were the most frequent answers in this order. Thirdly, stress management, family cohesion, and happiness all showed to have a positive correlation. Fourthly, family cohesion had no effect on happiness. Meanwhile, stress management had the biggest effect on happiness with an explanation rate of 28.2%. The implications of this research are expected to be used as base line data for future social welfare programs for the improvement of middle-aged women's happiness.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.2
• /
• pp.681-688
• /
• 2017

This study examined the relationship between the cabin crew images and the airline employment decisions. The aim was to target college students to prepare for employment in airlines. The survey was conducted to achieve the research objectives using SPSS 20.0 based on 342 questionnaires. In addition, frequency analysis, factor analysis, reliability analysis, Correlation Analysis, and regression analysis were performed. The cabin crew image of the customer orientation and fashion affects the airline employment decisions of the students. The cabin crew image of professional expertise and appearance affect the airline employment decisions of the trust. The cabin crew image of customer orientation, fashion, and appearance affects the airline employment decisions of the students. Overall, the job must first be an understanding of the airline and it is necessary to consider a career professional approach. In addition, there is a need to recognize human services that emphasize the customer orientation factors of the crew.

• Korean Security Journal
• /
• no.29
• /
• pp.279-300
• /
• 2011

Countries recognize seriousness and concern about aviation terrorism, try to stamp out of it but aviation terrorism has been increasing in the world. Airport security is completely up to the result of security screening for passengers, check-in baggages and cargo at the check point. To complete effectively human and physical screening at the airport, it is essential to secure modernized screening equipment and specialized security screener, and airport security supervisor to supervising them. In this study, A survey conducted to find out the effect on screening equipment operating factors of airport security supervisor's individual attitude. The results of the study are as follow First, the duty view of airport security supervisor meaningfully affect expertise of screening equipment operating factors, satisfaction, reliability, and education and training, national point of view meaningfullly doesn't affect screening equipment operating factors. Second, the working condition effects on the education and training, if the working condition is getting better, intent to change occupation is getting lower. Third, duty stress meaningfully effects on the intent to change occupation, now airport security supervisor works in poor condition. Therefore, airport security supervisor needs to be prude of protecting the airport from the terrorism and various attacks and various kinds of aviation security regulations and procedures and comply with operating standards and keep the life of the country and its people, and needs to change awareness. And It is nessasary for government or airport authority or airline to prepare countermeasure for the improvement of their labor conditions.

• Korean Security Journal
• /
• no.45
• /
• pp.65-86
• /
• 2015

The purpose of this study was aimed to identify the relationship between service quality and behavior by spectators participating security exhibition. The subject for this study was spectators who participating World Security Expo 2014 held three days from March 12 to 14 in 2014. 350 samples were selected by convenience sampling for subject of this study. 320 out of 350 surveys, excluded 30 unfaithful and defected surveys, were used for data analysis. Research tool was questionnaire which was based on and recomposed by previous researches home and abroad. The collected data were treated for analysis of frequency, reliability, factor analysis, correlation, and multitiple regression analysis by using SPSS statistic package version of 18.0 Through the above research method and procedure, the results were as followings. First, the relationship between service quality and behavior after participating exhibition appeared positively. It was found that there was high relationship between service quality and behavior. Second, analyzing relationship of factors between service quality and behaviors resulted to effect perceived environment, human services, and product on word of mouth. Third, analyzing relationship of factors between service quality and behaviors resulted to effect perceived environment, product, and price on re-participation.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.3
• /
• pp.76-88
• /
• 2016

Machine to Machine (M2M) is a technology that presents communication between two or more devices with or without human intervention. M2M communications can be applied for various use cases such as environmental monitoring, health care, smart metering and etc. In most use cases, M2M utilizes sensor nodes to collect data from the intended environment and the data is transmitted back to M2M application through other devices (gateways, sink nodes). In some use cases, M2M devices are being designed to store and process sensor data for improving the reliability of the service; Gateways and sink nodes are also intended to store and process the gathered data from sensor nodes. This kind of approach is very challenging for both academy and industry. In order to enhance the performance of this approach, in this paper, we propose our Common Service Security Platform (CSSP) for M2M devices and gateways. CSSP platform presents solutions for the devices and gateways by making them operate more accurately and efficiently. Besides, we present a comparative analysis of communication protocols and present their performance in accordance with selected metrics.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.10
• /
• pp.341-350
• /
• 2019

The aim of this study was to establish research hypotheses and conduct empirical analysis to clarify the relationship between self-leadership, self-efficacy, job satisfaction, and job performance of researchers in the energy and environment fields. Data were extracted from questionnaires returned by 165 researchers in the field of energy environment among 200 questionnaires collected for approximately three weeks. The reliability, frequency, descriptive statistics, correlation analysis, multiple regression analysis, and sobel-test were examined using the SPSS 22.0 statistical program. The self-leadership of the researcher has a positive (+) effect on self-efficacy, job satisfaction, and job performance, and the researcher's self-efficacy has a positive (+) influence on both job satisfaction and job performance. In addition, the self-efficacy and job satisfaction mediated the relationship between self-leadership, and job performance. Therefore, to improve the job performance of the researchers, it is important to establish a system for the human resource management of the affiliated institutions and revitalize the education for the self-leadership and self-efficacy improvement. In addition, it is necessary to provide an appropriate compensation system to satisfy the researchers' enjoyment, satisfaction and trust in their jobs. In particular, because self-efficacy is a very important factor for job performance, it is important to prepare an institutional strategy for strengthening the self-efficacy of researchers.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.2
• /
• pp.76-82
• /
• 2019

This study has done to search for a solution to remove risk limitedly caused by separating weapon system acquisition from operation and maintenance at the view point of Logistic Commander who's responsible for stable operation and maintenance after acquiring weapon system. At the System development stage, unverified overhaul development plan may cause additional manpower and costs after the development, and furthermore it is likely to have risk to lower reliability of the military. Thus, research and development agency should write overhaul development plan at the System development stage, and it should be verified through evaluation and verification test. Secondly, during research and development, institutional supplementation is needed to calculate human and material resources writing overhaul development plan. Thirdly, it should be able to analyze proper operation & maintenance plan and cost for overhaul plan at the pre-investigation stage. Fourthly, the base which can develop overhaul concept and overhaul factors should be included in the need and need determination document. Lastly, for the weapon system which has small amount of high power figure, project management should be performed to be able to specify at the each acquisition level of weapon system to realize Article 28, clause 3 and 4 of Defense business law.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.36 no.6
• /
• pp.469-481
• /
• 2018

DL (Deep Learning) is getting popular in various fields to implement artificial intelligence that resembles human learning and cognition. DL based on complicate structure of the ANN (Artificial Neural Network) requires computing power and computation cost. Variety of DL models with improved performance have been developed with powerful computer specification. The main purpose of this paper is to detect buildings from aerial images and evaluate performance of Mask R-CNN (Region-based Convolutional Neural Network) developed by FAIR (Facebook AI Research) team recently. Mask R-CNN is a R-CNN that is evaluated to be one of the best ANN models in terms of performance for semantic segmentation with pixel-level accuracy. The performance of the DL models is determined by training ability as well as architecture of the ANN. In this paper, we characteristics of the Mask R-CNN with various types of the images and evaluate possibility of the generalization which is the ultimate goal of the DL. As for future study, it is expected that reliability and generalization of DL will be improved by using a variety of spatial information data for training of the DL models.