• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.1
• /
• pp.133-155
• /
• 2019

The economic growth has made our lives more prosperous than the past, and the development of science fueled the era of 100-year lifespan. It is now distinct to us that preparation for life after retirement is not a choice but an imperative. In the meantime, outplacement programs have driven many to challenge and start a new chapter in life. This paper measures the characteristics of outplacement programs based on the self-determination factors; empirically examines how those characteristics influence on learning performance through self-efficacy and psychological well-being; concludes by proposing effective and productive ways for young adults and senior employees who are in search for new jobs. To test the research hypothesis, a survey was conducted among job searchers who have been previously provided with outplacement programs. The results are as follows: First, self-perceived autonomy has significant influences on self-efficacy and psychological well-being. Second, self-perceived competency has significant influences on self-efficacy and psychological well-being. Third, perceived relationship has no significant influence on self-efficacy and psychological well-being. Fourth, self-efficacy showed significant influences on psychological well-being, while not showing on learning performance. Fifth, psychological well-being has no significant influence on learning performance. This paper finds its academic significance in its theory-based approach to outplacement service program; research variables and examination are not based on researcher's arbitrary choice. This paper is also practically significant in that it discovered that outplacement service alleviates psychological stress caused by job relocation, and guarantees stable life after retirement.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.40 no.1
• /
• pp.57-68
• /
• 2012

This research was conducted to understand the extent to which visitors to the DMZ Pyeonghwa Nuri-gil Trail(located in one of the most Ecologically Sensitive Areas(ESA) of Korea) are motivated by perceived constraints and loyalty to the trail. Self-administered questionnaires were distributed to the participants of the '2010 DMZ Border Trekking Course', which resulted in collecting 317 valid responses. For statistical tests, the respondents were divided into three clusters(accidental, activity-driven, and nature-driven) by their motivation for the visit. ANOVA was conducted to examine if the three groups differ in terms of the perceived constraints and loyalty to the DMZ Pyeonghwa Nuri-gil Trail. The results showed that nature-driven visitors were more likely to perceive "psychological constraints" than accidental or activity-driven visitors. As for loyalty, accidental visitors displayed the lowest level of loyalty while nature-driven visitors indicated the highest level of loyalty. These results illustrate that nature-driven visitors not only have the strongest desire to experience and learn about ESAs but also possess the highest sense of loyalty to the trail. It can further be argued that nature-driven visitors are the ones with the greatest concern for the trail's well-being. The paper concludes with the contention that understanding the demand and characteristics of trail visitors is critical to the future development of the trail.

• Journal of the Korea Computer Graphics Society
• /
• v.23 no.2
• /
• pp.23-27
• /
• 2017

We propose an inter-leg collision avoidance method that compensates the disadvantage of the data-driven biped control method. The data-driven biped control technique proposed by Lee et. al [1] sometimes generates the movement that the two legs intersect with each other while walking, which can not be realized in walking of a real person or a biped robot. The proposed method changes the angle of the swing hip so that the swing foot can move inward only after passing the stance foot. This process introduces an additional angle adjustment algorithm to avoid collisions with the stance leg to the original feedback rule of the stance hip. It generates a stable walking simulation without any inter-leg collisions, by adding minimal changes and additional calculations to the existing controller behavior.

• Journal of Smart Tourism
• /
• v.4 no.2
• /
• pp.5-14
• /
• 2024

This study explores the transformative potential of machine learning (ML) and ML-driven data analytics in the hospitality industry. It provides a comprehensive overview of this emerging method, from explaining ML's origins to introducing the evolution of ML-driven data analytics in the hospitality industry. The present study emphasizes the shift embodied in ML, moving from explicit programming towards a self-learning, adaptive approach refined over time through big data. Meanwhile, social media analytics has progressed from simplistic metrics deriving nuanced qualitative insights into consumer behavior as an industry-specific example. Additionally, this study explores innovative applications of these innovative technologies in the hospitality sector, whether in demand forecasting, personalized marketing, predictive maintenance, etc. The study also emphasizes the integration of ML and social media analytics, discussing the implications like enhanced customer personalization, real-time decision-making capabilities, optimized marketing campaigns, and improved fraud detection. In conclusion, ML-driven hospitality data analytics have become indispensable in the strategic and operation machinery of contemporary hospitality businesses. It projects these technologies' continued significance in propelling data-centric advancements across the industry.

• Journal of the Korean earth science society
• /
• v.36 no.3
• /
• pp.199-209
• /
• 2015

The Atlantic meridional overturning circulation (AMOC), driven by high density water sinking around Greenland serves as a global climate regulator, because it transports heat and materials in the climate system. We analyzed the mechanism of AMOC on a decadal time scale simulated with the HadGEM2-AO model. The lead-lag regression analysis with AMOC index shows that the decadal variability of the thermohaline circulation in the Atlantic Ocean can be considered as a self-sustained variability. This means that the long-term change of AMOC is related to the instability which is originated from the phase difference between the meridional temperature gradient and the ocean circulation. When the overturning circulation becomes stronger, the heat moves northward and decreases the horizontal temperature-dominated density gradients. Subsequently, this leads to weakening of the circulation, which in turn generates the anomalous cooling at high latitudes and, thereby strengthening the AMOC. In this mechanism, the density anomalies at high latitudes are controlled by the thermal advection from low latitudes, meaning that the variation of the AMOC is thermally driven and not salinity driven.

• Information Systems Review
• /
• v.21 no.4
• /
• pp.197-220
• /
• 2019

This study aims to identify consumer motivations of open innovation project participation from digital transformation perspective. By extending a traditional intrinsic/extrinsic motivation framework, we propose a three-dimensional perspective of the self-driven, firm-driven, and sociality-driven motivations. This reveals the significance of the social effects of open innovation projects as an example of digital transformation by categorizing the motivations based on the 'influencer' of the motivation building and by highlighting the importance of sociality as an influencer. As a result, self-efficacy is identified as a key motivation when the influencer exists internally. Economic incentive and firm reputation are identified when the influencer exists externally. Finally, competition, peer evaluation and social contributions are identified when the influencer exists socially. The role of knowledge type sought through innovation projects is further introduced to explain its moderating effects on motivations. The study is validated in two steps. First, we investigate four cases of open innovation projects and examine what motivations are highlighted in each context. Second, we collect survey data from 203 online game users and ask them on their motivations. The results confirm most of our hypotheses and highlight the significance of sociality in the knowledge-seeking process in open innovation projects. This study largely contributes to digital transformation literature by extending the view of motivation and examining the moderating role of knowledge involved in the projects.

• Journal of Korean Library and Information Science Society
• /
• v.50 no.1
• /
• pp.177-198
• /
• 2019

The purpose of this study is to understand student's reading motivation by laying out self-selected reading program and running it at school libraries. The self-selected reading program based on self-determination theory ensures the autonomy of book selection. The self-selected reading program in this study provided a number of scope and recommended book lists in order to ensure the autonomy of book selection and developed integrated reading and writing. After finishing this program, the author measured 6 domains of reading motivation with participated students who completed this course. As a result, it turned out that autonomous motive domains excessively surpassed heteronomous motive domains. Such autonomy of book selection, one of the key features from self-selected reading programs, is expected to help making the best use of school library collections by recommended book lists and stimulating stable and sustainable reading habits driven by self-motivation.

• Science of Emotion and Sensibility
• /
• v.26 no.4
• /
• pp.29-40
• /
• 2023

Anxiety is known to upset the balance of the attentional system and prioritize the stimulus-driven system over the goal-directed system; however, self-instruction induces goal-directed behavior with the self-regulation effect. This study verified the effects of meteorological and self-instruction conditions on pilot anxiety and flight task performance for in-service pilots in a virtual reality environment. The meteorological conditions were divided into visual meteorological and very low visibility conditions, and the flight tasks were conducted by varying whether or not self-instruction was performed. The experiment results reveal that anxiety and heart rate were higher, and the performance of the flight task was lower in the very low visibility condition. However, anxiety and heart rate were lower, and the performance of the flight task was higher in the self-instruction condition. This result suggests that accidents due to difficulty in flight may increase because of anxiety, but such accidents may decrease because of flight performance improvement by self-instruction.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1993.04a
• /
• pp.213-217
• /
• 1993

This paper presents an end-point of 1-link flexible robot arm with a tip-mass by using self-turning fuzzy algorithm. The arm is mounted on a translational mechanism driven by a ballscrew, whose rotation is controlled by CD servomotor. Tip position is controlled so that it follows a desired position. A feedback signal is composed of both the tip-displacement error and change in error. This paper gives the experimental tip responses according to the variations of tip-mass and beam-length, and also showes the effects of reducing the residual vibrations occuring at the end-point.

• Journal of Electrical Engineering and information Science
• /
• v.3 no.3
• /
• pp.366-372
• /
• 1998

A high efficiency interleaved active clamp forward converter with self driven synchronous rectifiers for a modular power processor is presented. To simplify the gate drive circuits, N-P MOSFETs coupled active clamp method is used. An efficiency about 90% for the load range of 50-100% is achieved. The details of design for the power stage and current mode control circuit are provided, and also some experimental results are given.