• Korean Business Review
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• v.23 no.2
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• pp.77-98
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• 2010

While machines can replace general industries, it is impossible to do so in service industries in which require various contacts with clients. As automated system would not work in service industries, it requires more of reliance to human resources than other industries. The services done here for customers are consequently reflected to the level of customers' satisfaction and business performance. Thus, highly qualified services are important factors for the success in the industry, but the problem here is that there is not enough care for employees providing those services. Therefore, this study analyzes employees' personalities and shows how those affect to job satisfaction and organizational commitment. It also aims at showing present problems in companies. MBTI, a test showing one's character, has been applied for the analysis, and surveys have been provided to employees to see how their personalities affect to job satisfaction and organizational commitment. Through this process, job satisfaction in accordance with one's character and organizational commitment is partially similar, and the hypothesis assuming that there is interrelationship between job satisfaction and organizational commitment was proved.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.89-97
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• 2015

Plant factory was started in Europe in the 1960. Thanks to the development of seeds science, nutrient study, environment control technology and automated systems, it has developed into the form of full artificial light system. In recent years, productivity of plant factory has increased with the convergence of ICT. An interest in plant factory has increased with several outstanding achievements. However, the plant factory industry is still stuck at an introductory stage and government investment has been reduced. In order to verify the feasibility of the plant factory, we conducted a survey targeting experts in politics, R&D and business field. We analyze the feasibility of investment in plant factory and strategies to enhance the competitiveness of plant factory.

• Korean Journal of Construction Engineering and Management
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• v.5 no.1 s.17
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• pp.157-167
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• 2004

In developing an automated construction system, it is essential to propose a performance evaluation model and methodology, which can measure productivity, quality, safety and economic feasibility in order to verify its superiority. Recently, a tele-operated hume concrete pipe laying machine has been developed to solve several problems related to safety, quality, productivity in conventional method. The primary objective of this study is to propose a model and methodology for the performance evaluation of the developed tele-operated hume concrete pipe laying machine. Furthermore, this study evaluates the automation machine's performance compared with the existing hume pipe laying work by using data which obtained in many field trials. It is anticipated that the proposed model and methodology might be effectively used in analyzing the performance of other automation robots.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.417-428
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• 2018

The intelligent video surveillance environment is a system that extracts various information about a video object and enables automated processing through the analysis of video data collected in CCTV. However, since the privacy exposure problem may occur in the process of intelligent video surveillance, it is necessary to take a security measure. Especially, video metadata has high vulnerability because it can include various personal information analyzed based on big data. In this paper, we propose a COP-Transformation scheme to protect video metadata. The proposed scheme is advantageous in that it greatly enhances the security and efficiency in processing the video metadata.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.3
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• pp.129-134
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• 2015

Since automatic social engineering based spam attacks induce for users to click or receive the short message service (SMS), e-mail, site address and make a relationship with an unknown friend, it is very easy for them to active in online social networks. The previous spam detection schemes only apply manual filtering of the system managers or labeling classifications regardless of the features of social networks. In this paper, we propose the spam detection metric after reflecting on a couple of features of social networks followed by analysis of real social network data set, Twitter spam. In addition, we provide the online social networks based unsupervised scheme for automated social engineering spam with self organizing map (SOM). Through the performance evaluation, we show the detection accuracy up to 90% and the possibility of real time training for the spam detection without the manager.

• Atmosphere
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• v.27 no.4
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• pp.385-398
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• 2017

Numerical weather prediction experiments were carried out by applying topographic effects to reduce or enhance the solar radiation by terrain. In this study, x and ${\kappa}({\phi}_o,\;{\theta}_o)$ are precalculated for topographic effect on high resolution numerical weather prediction (NWP) with 1 km spatial resolution, and meteorological variables are analyzed through the numerical experiments. For the numerical simulations, cases were selected in winter (CASE 1) and summer (CASE 2). In the CASE 2, topographic effect was observed on the southward surface to enhance the solar energy reaching the surface, and enhance surface temperature and temperature at 2 m. Especially, the surface temperature is changed sensitively due to the change of the solar energy on the surface, but the change of the precipitation is difficult to match of topographic effect. As a result of the verification using Korea Meteorological Administration (KMA) Automated Weather System (AWS) data on Seoul metropolitan area, the topographic effect is very weak in the winter case. In the CASE 1, the improvement of accuracy was numerically confirmed by decreasing the bias and RMSE (Root mean square error) of temperature at 2 m, wind speed at 10 m and relative humidity. However, the accuracy of rainfall prediction (Threat score (TS), BIAS, equitable threat score (ETS)) with topographic effect is decreased compared to without topographic effect. It is analyzed that the topographic effect improves the solar radiation on surface and affect the enhancements of surface temperature, 2 meter temperature, wind speed, and PBL height.

• Journal of Korea Multimedia Society
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• v.20 no.10
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• pp.1678-1688
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• 2017

Infiltration is one of detrimental problems occurring in nursing or medical settings. Early detection of infiltration is essential to minimize the risk of injury from infiltration. To perform a preliminary study on the point of care and automated infiltration detection system, bioelectrical impedance was investigated using bioelectrical impedance analyzer. We would like to report experimental results that allow impedance parameters to effectively distinguish infiltration. Electrodes were attached to both sides of the transparent dressing on the fusion site where IV solution was being infused. Then, impedance parameters before and after infiltration were measured as a function of time and frequency. The experimental results are as follows. After infiltration was intentionally induced by puncturing the vein wall with a needle, the resistance gradually decreased with time. That is, when an alternating current having a frequency of 20 kHz was applied to the electrodes, the resistance gradually decreased with time, reflecting the accumulation of IV solution in the extracellular fluid since the current could not pass through the cell membrane. Impedance parameters and equivalent circuit model for human cell were used to examine the mechanism of current flow before and after infiltration, which could be used for early detection of infiltration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3036-3044
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• 2010

With the rapid growth of video data service, demand to provide advertisements or additional information with regard to a particular video scene is increasing. However, the direct use of automated visual analysis or speech recognition on videos virtually has limitations with current level of technology; the metadata of video such as title, category information, or summary does not reflect the content of continuously changing scenes. This work presents a new video contextual advertising system that serves relevant advertisements on a given scene by leveraging the scene's situation information inferred from video scripts. Experimental results show that the use of situation information extracted from scripts leads to better performance and display of more relevant advertisements to the user.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.12
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• pp.615-622
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• 2016

Automotive control software can be a source of critical safety issues when developers do not comply system constraints. However, a violation is difficult to identify in complicated source code if not supported by an automated verification tool. This paper introduces two possible approaches that check whether an automotive control software complies API call constraints to compare their performance and effectiveness. One method statically analyzes the source code and explores all possible execution paths, and the other utilizes a model checker to monitor constraint violations for a given set of constraint automata. We have implemented both approaches and performed a series of experiments showing that the approach with model-checking finds constraint violations more accurately and scales better.

• Tunnel and Underground Space
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• v.16 no.6 s.65
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• pp.451-466
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• 2006

Analysis of slope behavior concerning the structural characteristics of field rock mass can be processed by virtue of borehole information of joint orientation and position acquired from DOM drilled core. Anticipated sliding potential of pre-failed rock slope is analyzed and the regional slope instability is investigated by inspecting the hazardous joints and blocks the traces of which is projected on the cut-face. Cross section has been set at the center of rock slope and the traces of both joints and tetrahedral blocks, which potentially can induce the slope failure, are drawn to investigate the failure modes and the triggering mechanism. Automated monitoring system has been established to measure the slope movement and especially, inclinometer has been installed inside DOM borehole to analyze the slope movement by considering the internal rock structure. Algorithms for predicting the slope failure time have been reviewed and the significance of heavy rainfall on the slope behavior has been investigated.