• Knowledge Management Research
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• v.18 no.1
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• pp.83-116
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• 2017

The purpose of this study is to analyze empirically analyze how the characteristics of participants in educational and social learning forums and the quality of events influence expectations and satisfaction of forums. The study also aims to provide strategic implications for forum organizers and give them suggestions on how to set up target audience, manage forum contents, speakers, and services, improve attendee satisfaction, and ultimately maximize overall outcomes. As exchanges among individuals, enterprises, and organizations, as well as countries are growing rapidly, the convention industry has become a key player in the market. Conventions have also become a venue for people to discuss a specific agenda or topic, exchange information and learn knowledge and insights. Especially, the forum - as part of the convention industry - plays a vital role providing educational and social learning opportunities as scholars and expertise come together to share their knowledge and experience through a variety of discussions. With its role, many of forums are taking place in recent years; however, there have been few empirical studies upon the forum itself. Also, there have been few attempts to research how the quality of forums affect participants' satisfaction along with their characteristics and how much of practical knowledge is provided throughout the events. This study is meaningful in that it is the first practical study that takes a deep understanding of the forum and sees how the quality of the forums influences participants' satisfaction and whether the characteristics of participants have a moderating effect in increasing the level of satisfaction. Forum organizers could also take a strategic approach as their major concerns are to increase the number of participants and raise degree of satisfaction by providing significant information. There are four key elements that determine success or failure of a social learning forum. The four elements are contents, speakers, services, and participants. Content plays an important role in providing rich information and knowledge for participants. Speakers are the main knowledge providers who contribute to the forum's social learning role. Also, the services provided by forum organizers such as simultaneous interpretation services, program brochures, lunch and refreshments, and the overall design of event hall can also influence the level of participants' satisfaction. Lastly, the participants and their characteristics are important since they are the ones who receive knowledge from the providers. The results of this study show that the quality of forum (content, speaker, and services) has a decisive effect on the participants' satisfaction and there are some differences in expectation among the participants in the forum. Also, some groups of participants were more likely to be stimulated by the quality of forum when determining their satisfaction. The study is modeled after MBN Y Forum 2016 and its participants' characteristics. The forum is one of the most representative social learning forums of South Korea and its audiences are mostly young people. It has analyzed how the participants' characteristics influence their satisfaction by grouping them into ${\Delta}participants$ who have invited for free and those who paid for the entrance fee, ${\Delta}first-time$ participants and returning participants, ${\Delta}voluntary$ and involuntary participants, ${\Delta}participants$ who registered through web and those who did through mobile, and ${\Delta}participants$ who registered during pre-sale opens and those who registered during general opens.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.145-145
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• 2022

Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.179-203
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• 2004

This paper examines the intra-and inter-regional linkages of public research institutes (PRIs) with various innovation actors in Korea. In spite of the general consensus on the role of PRIs as innovation facilitators as well as creators, the attributes of regional spillover effect of knowledge created by PRIs have not been understood completely. Some argue that PRIs play pivotal role in encouraging intra-regional innovation networks through collective learning process. Others argue that PRIs are not necessarily related to intra-regional knowledge transfer, but play more important role in establishing national and international innovation linkages. This study attempts to figure out the current status of innovation linkages of Korean PRIs and to prove how the internal and external attributes of PRIs influence the development of spatial innovation linkages. Furthermore, it also tries to draw policy implication from empirical analysis results.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.475-487
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• 2011

In this paper, we present a systematic method to derive spectrum of high-order pulse and a novel design of e-Learning system that deals with deriving the spectrum using concept-based branching method. Spectrum of high-order pulse can be derived using conventional methods including 'Consecutive Differentiations' or 'Convolutions', however, their complexity of calculation should be too high to be used as the order of the pulse increase. We develop a recursive algorithm according to the order of pulse, and then derive the formula of spectrum connected to the order with a newly designed look-up table. Moving along, we design an e-Learning content for studying the procedure of deriving high-order pulse spectrum described above. In this authoring, we use the concept-based object branching method including conventional page or title-type branching in sequential playing. We design all four Content-pages divided into 'Modeling', 'Impulse Response and Transfer Function', 'Parameters' and 'Look-up Table' by these conceptual objects. And modules and sub-modules are constructed hierarchically as conceptual elements from the Content-pages. Students can easily approach to the core concepts of the analysis because of the effects of our new teaching method. We offer step-by-step processes of the e-Learning content through unit-based branching scheme for difficult modules and sub-modules in our system. In addition we can offer repetitive learning processes for necessary block of given learning objects. Moreover, this method of constructing content will be considered as an advanced effectiveness of content itself.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.524-527
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• 1995

In most cases, a crane is controlled by an open-loop technique. That is, the controller tries to follow a given velocity profile that is designed to minimize the swing of rope and the transfer time. But such a system is not capable of handling various disturbances such as changing rope length and wind effect. In order to overcome this kind of difficulty, this research focuses on the design of a feedback controller using intelligent techniques such as fuzzy logic and neural network. These intelligent techniques has been emplyoyed in order to represent human knowledge and to imitate human learning. The deveped controllers have been evaluated via computer simulation

• Journal of the Korea Institute of Construction Safety
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• v.6 no.1
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• pp.1-6
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• 2024

Existing safety education delivered to construction workers has limitations in concentration and immersion, so delivery power and interest are low. In order to improve the unstable behavior of construction workers and prevent safety accidents through education, a paradigm shift to hands-on education is necessary. Experiential safety education aims to contribute to the prevention of safety accidents and induce safe behavior by construction workers to recognize risks faster, select safe working methods suitable for the working environment, and improve emergency response and proactive response. Experiential education facilities have a follow-up learning effect in case of danger. The experience facility, which consists of the same working environment as the actual construction site, is designed to experience falls, equipment contraction, fire, and electric shock. In order to achieve the results of safety education that has invested a lot of time, construction workers must have motivation to participate, and "experiential safety education" through playful, deviant, and aesthetic experiences reduces serious accidents.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2002.05a
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• pp.163-167
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• 2002

문제 해결 상황에서의 전이 학습에 관한 연구는 실제 학습 장면에서 학생들이 문제를 좀 더 쉽게 이해하도록 하고, 이를 바탕으로 효율적인 학습이 일어나도록 한다는 점에서 중요하다. 본 연구의 목적은 컴퓨터 학습 환경에서 학습 자료의 난이도와 예제의 사용이 전이에 어떠한 영향을 미치는지에 대하여 알아보고자 수행되었다. 첫 번째 실험에서는 문제 구조가 비교적 잘 정의되어 있는 확률 문제를 대상으로 하여 학습 자료 유형과 난이도가 전이에 미치는 영향을 알아보기 위하여 실시되었다. 학습 자료 유형은 재인(recognition), 증명(verification), 유추(analogy) 세 가지 조건이었으며, 문제의 난이도는 피험자의 수행 평가를 기준으로 하여 세 가지 수준으로 조작되었다. 두 번째 실험에서는 학습 자료 유형과 예제(earlier example)가 전이 학습에 미치는 영향을 알아보기 위하여 실시되었다. 실험 결과 학습 자료 유형과 난이도 각각의 주효과가 통계적으로 유의하였으며, 예제의 제시유무는 전이 검사에서만 경향성을 보였다.

• Korean Journal of English Language and Linguistics
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• v.1 no.3
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• pp.497-508
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• 2001

This study tested whether non-native speakers approximated native-like locus equation slopes. Russian learners of English acquired native-like values of the locus equation slope for the English bilabial, and English learners of Russian made slight modifications to the locus equation slope of the Russian bilabial. The acquisition of the locus equations occurred gradually with experience. While English speakers, with limited experience with Russian, failed to approximate Russian-typical value of the locus equations slope, Russian speakers, with more extensive experience with English, succeeded in approximating the locus equation for English bilabial. The observation of locus equation transfer effect supports for the locus equation hypothesis as the unit of acquisition over CV-by-CV learning.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.203-210
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• 2017

In this paper, we propose an effective neural network model for image caption generation and model transfer. This model is a kind of multi-modal recurrent neural network models. It consists of five distinct layers: a convolution neural network layer for extracting visual information from images, an embedding layer for converting each word into a low dimensional feature, a recurrent neural network layer for learning caption sentence structure, and a multi-modal layer for combining visual and language information. In this model, the recurrent neural network layer is constructed by LSTM units, which are well known to be effective for learning and transferring sequence patterns. Moreover, this model has a unique structure in which the output of the convolution neural network layer is linked not only to the input of the initial state of the recurrent neural network layer but also to the input of the multimodal layer, in order to make use of visual information extracted from the image at each recurrent step for generating the corresponding textual caption. Through various comparative experiments using open data sets such as Flickr8k, Flickr30k, and MSCOCO, we demonstrated the proposed multimodal recurrent neural network model has high performance in terms of caption accuracy and model transfer effect.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.1
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• pp.29-65
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• 2009

This study is The Effect of the on the purchase behavior of the Software Quality. To have purchased the software in a Consumer surveys were conducted. The following is a summary of results of this research. First, the software quality and significant consumer purchasing behavior (+) of influence. Functionality, usability, portability of software quality attributes the impulse buying and buy more of both the (+) showed the influence. Second, software quality is urge consumers to purchase significant (+) of influence. Functionality, reliability, usability, portability of software quality (+) showed the influence. Third, the software quality In the consumer buy more significant Chung (+) showed the influence. Software quality, functionality, usability, portability name (+) influence. In conclusion, the quality of the software in consumer purchasing behavior (+) were of significant influence. In particular, factors that functionality, usability factors, portability factor in the relatively large influence on the purchasing behavior. Software technology development, planning, development, testing, and in each step must keep in mind the following. First, the software, when used in certain conditions, Inherent ability to meet the needs and requirements set forth to provide the appropriate functionality and accuracy as the ability of software products each other with the capabilities to the effective and thorough security features should be required. Second, software, a user-specified criteria to use in understanding and learning, and must, and the ability to prefer. Software for users to understand and easy to use, whether the check. In particular, understanding the interface, Help understanding, understand the input and output data, and interface consistency, the user information, the message must be equipped and easy to understand. In addition, ease of learning to be self-learning, and help ease of access shall be required. Third, in certain circumstances, a different environment to transfer be equipped with the functionality of the software. Applying data structures and application environment, helping transplant convenience must keep in mind sex.