• Korea Trade Review
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• v.47 no.6
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• pp.119-134
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• 2022

A new protectionism caused by the US-China competition and a following new Cold War would have a negative impact on global FDI. In this time, this study researched the effects of the long lasting global openness and liberalization on Korea's Inward FDI. 1,387 foreign invested companies in Korea were analyzed. The results are summarized as follows. First, Korea's FDI has been expanded under the environment of globalization. The IFDI amount and share in GDP increased. Seven countries out of the world top 10 were listed in Korea' the top 10. However, the share of the US and Japan's FDI in Korea's IFDI decreased. Second, non-manufacturing industry became prevalent in Korea's IFDI. Considering it's local market-oriented characteristics, the biggest investment motivation by global companies was Korean market pursuit. The US was more local market-oriented than Japan. Third, cross-border M&A, which became active in developed countries since 1980s, also kicked off in Korea from late 1990s. Global companies managed foreign-invested companies in Korea with shares close to wholly owned. The US had higher share ratios than Japan. The implications by this research are as follows. First, looming protectionism by a New Cold War would negatively affect Korea's IFDI through the adverse function of globalization. Second, Korea's IFDI has been converted to a market pursuit type being mainly leaded by non-manufacturing industry. Since GDP is the largest FDI motive in this type of FDI, the key policy for IFDI promotion is lying in the expansion of domestic market rather than deregulation.

• Journal of the Korean Society of Food Culture
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• v.25 no.1
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• pp.17-24
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• 2010

The purpose of this study was to investigate nutritional knowledge, practice of eating behavior guidelines, and problematic dietary habits in working high school students in comparison with non-working high school students. A survey questionnaire was formulated to obtain information on demographic variables, body size, part-time jobs, nutritional knowledge, practice of eating behavior guidelines, and dietary habits. The developed questionnaire was given out to 515 students attending a vocational high school in Yongin, Gyeonggi-Do. Those who had been working 5 hours or more per day for at least a month at the time of survey administration were defined as working students for this study. Proportions of working students were similar between male and female students (i.e. 49.5% for male, 50.5% for female). No significant difference was found in scores of nutritional knowledge between working ($8.43{\pm}2.29$) and non-working students ($8.60{\pm}2.19$). However, some dietary habits were found to be dependent on working status. While approximately 43% of non-working students reported skipping a meal, about 57% of working students did so (p<0.01). The proportion of students with any drinking experience was significantly higher among working students (92%) compared to non-working students (80%) (p<0.001). Working students were found to drink alcoholic beverages more often than non-working students (p<0.001). The mean score of practice of eating behavior guidelines was lower in working students than non-working students. The magnitude of this difference was modest ($51.33{\pm}0.63$ in working students, $53.40{\pm}0.51$ in non-working students), but reached statistical significance (p<0.01). Based on the findings from this study, it is suggested that specific behavior-oriented messages to improve certain problematic dietary habits need to be directed toward working high school students.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.722-732
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• 2021

Purpose: Due to the coronavirus infection-19 (COVID) pendemics, all educational institutions were required to provide full non-face-to-face real-time education, and fire officials were required to provide fire-fighting education by applying non-face-to-face education. In this difficult situation, the National Fire Service Academy tries to find the direction of the non-face-to-face real-time education and suggest ways to improve it through a survey of the status of non-face-to-face real-time education conducted by the NFSA to fire officials. Method: A survey was conducted on fire officials under the theme of "Consciousness Survey for Improving the Quality and Specialization of Non-face-to-face Real-Time Remote Education" and an in-depth analysis was conducted based on the results. Result & Conclusion: First, professors or educational operators shall actively utilize remote education programs suitable for educational characteristics by utilizing various programs. Second, a dedicated notebook for non-face-to-face training should be provided to provide an educational environment where all learners can participate in the training without difficulty. Third, in the case of education and training that requires the use of equipment due to the nature of fire officials' education and training, it is necessary to consider it as a non-face-to-face training place by arranging educational equipment at each fire station. Fourth, it is hard to expect a satisfactory educational effect to cope with practical education with theoretical education. Therefore, facilities and programs that enable non-face-to-face real-time hands-on training should be developed. It is worth considering the proper combination of face-to-face education while maintaining the social distance as much as possible until such non-face-to-face training is possible. Fifth, non-face-to-face education is considered to have high eye fatigue due to the light and electromagnetic waves of the computer screen, and as time goes by, the concentration level decreases. Therefore, it is necessary to form an education time to reduce the eye fatigue of learners and increase concentration through proper class and rest time. Finally, professors should operate a learner participation-oriented education that allows professors and learners to interact rather than one-sided knowledge transfer education. In addition, technical problems of non-face-to-face remote education should be thoroughly prepared through preliminary system checks to ensure that education is not disrupted.

• Physical Therapy Rehabilitation Science
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• v.5 no.1
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• pp.1-8
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• 2016

Objective: The present study was to investigate the discrimination capacity of the Performance Oriented Mobility Assessment-Gait Scale (POMA-GS), for predicting falls in stroke survivors. Design: Retrospective cohort study. Methods: Data including the characteristics and number of falls of 52 chronic stroke patients from a rehabilitation center were collected. The number of falls each subject had experienced in the previous year were investigated through interviews. The subjects were divided into two groups depending on the number of falls: if falls occurred twice or more on the basis of the time of study after stroke, they were defined as the falls group and if there was no fall experience or one fall, they were defined as the non-falls group. The subjects were examined with the POMA-GS, and physical functions were examined using by the One Leg Stand Test (OLST), Sit to Stand Test (SST), 10-m Walk Test, Lower Extremity in Fugl-Meyer assessment (FM-LE), and Trunk Impairment Scale (TIS). The validity of POMA-GS for falls prediction was analyzed. Results: In the POMA-GS, which predicts falls in stroke survivors, the cut-off value was 8.5 (sensitivity 72%; specificity 65%) and the area under the curve was 0.75 (95% confidence interval: 0.60-0.90, p<0.007). There was a significant difference in the OLST, SST, FM-LE, and TIS between the subjects with POMA-GS >8.5 and the subjects with POMA-GS ${\leq}8.5$. Conclusions: The POMA-GS could be a useful tool in predicting falls in stroke survivors, as its discrimination capacity and predictive validity is proven satisfactory.

• Convergence Security Journal
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• v.4 no.3
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• pp.57-82
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• 2004

The confluence of computers, communications, and databases is quickly creating a distributed database where many applications require real-time access to temporally consistent sensor data. We have developed an object-oriented real-time database system called BeeHive to provide a significant improvement in performance and functionality over conventional non-real-time database and object management systems. In this paper, the performance of two data-deadline cognizant scheduling policies EDDF and EDF-DC and the baseline EDF policy with/without admission control are evaluated through extensive experiments on BeeHive. The ranges where data-deadline cognizant scheduling policies are effective and where admission control plays a role are identified.

• The Journal of Korean society of community based occupational therapy
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• v.3 no.2
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• pp.13-23
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• 2013

Objective : The purpose of this study is to evaluate the effect of task-oriented mirror therapy involve visual illusion on upper extremity functions in stroke patients. Method : We divided into two groups that task-oriented mirror therapeutic exercise program include visual illusion and not include. In order to determine the change in upper extremity function, Box & Block Test and Line-bisection Test was evaluated each time period. Result : The result of this study that we found out that all participation's upper extremity function had been improved during the intervention and sustained during baseline regression. Applying mirror therapy program include visual illusion group more improved trend line during the intervention, visual illusion group, it had been shown there are higher difference between visual illusion group and non-visual illusion group in upper extremity functions. Conclusion : It is thoughtful that task-oriented mirror therapy could help for stroke. It might be more effectiveness to apply who have exercise program include visual illusion.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.125-133
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• 2014

The column-oriented database storage is a very advanced model for large-volume data analysis systems because of its superior I/O performance. Traditional data storages exploit row-oriented storage where the attributes of a record are placed contiguously in hard disk for fast write operations. However, for search-mostly datawarehouse systems, column-oriented storage has become a more proper model because of its superior read performance. Recently, solid state drive using MLC flash memory is largely recognized as the preferred storage media for high-speed data analysis systems. The features of non-volatility, low power consumption, and fast access time for read operations are sufficient grounds to support flash memory as major storage components of modern database servers. However, we need to improve traditional transaction management scheme due to the relatively slow characteristics of column compression and flash operation as compared to RAM memory. In this research, we propose a new scheme called Column-aware Multi-Version Locking (CaMVL) scheme for efficient transaction processing. CaMVL improves transaction performance by using compression lock and multi version reads for efficiently handling slow flash write/erase operation in lock management process. We also propose a simulation model to show the performance of CaMVL. Based on the results of the performance evaluation, we conclude that CaMVL scheme outperforms the traditional scheme.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.55-61
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• 2005

We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.

• Fashion & Textile Research Journal
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• v.7 no.2
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• pp.218-224
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• 2005

The purpose of this study was to investigate the infiluence of positive and negative word-of-mouth informations on visiting intention of hairshop customers. Data were collected from 342 adult females and analyzed by using frequencies, factor analysis and regression utilizing SPSS/PC+. The results showed that positive word-of-mouth informations such as shop employees' skill/attitudes, physical benefit, comfortable facilities, time saving/consistent service, kindness and rational price had influence on the visiting intention of hairshop customers. The negative word-of-mouth informations that consumers had experienced using hairshop were categorized as untrustworthy face-to-face customer management, non-customer service oriented mind, and unskilled employees/inefficient hairshop environment. The negative word-of-mouth informations had no effect on the visiting intention.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.2033-2036
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• 2004

A novel approach to estimate the real time moving trajectory of an object is proposed in this paper. The object position is obtained from the image data of a CCD camera, while a state estimator predicts the linear and angular velocities of the moving object. To overcome the uncertainties and noises residing in the input data, a Kalman filter and neural networks are utilized. Since the Kalman filter needs to approximate a non-linear system into a linear model to estimate the states, there always exist errors as well as uncertainties again. To resolve this problem, the neural networks are adopted in this approach, which have high adaptability with the memory of the input-output relationship. Kohonen Network(Self-Organized Map) is selected to learn the motion trajectory since it is spatially oriented. The superiority of the proposed algorithm is demonstrated through the real experiments.