• Journal of the Korean Institute of Landscape Architecture
• /
• v.42 no.2
• /
• pp.91-102
• /
• 2014

Recent trends in urban policies show the increasing importance of urban parks. Moreover the park policy and planning are increasingly important for the good urban park system. Comparative studies in the operational system and planning contents of the parks and green space plans of the major cities would be timely and meaningful. This study aims to provide a comparative study in operational system and planning contents of the Parks and Green Space Master Plan at urban scale. Sites include London, New York, Berlin, Sydney and Seoul. Analyses are focused on the master plans and strategy reports of each city. Frameworks for analysis are divided into operational system and planning contents. The results are as follows. First, the Parks and Green Space Plans as an open space planning linked to related resources would contribute to both integrated resources management and practice of the fairness. Second, evolution from quantity to quality of the parks and green space plan enhances revitalization and regeneration. Third, shift from the 'supply oriented plan' to 'need based plan' model provides flexible planning model to meet the demographic change, trend change, preference and use. Fourth, planning agents, enlarged opportunities for participation within each phase, diversified of the participants lead the changes from the passive participation to active one. In order to improve the practicability of the parks and green space master plan, a flexible planning strategy including social awareness changes and park governance is required.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.3
• /
• pp.211-227
• /
• 2020

This study intends to analyze the storytelling strategy of EBS's YouTube channel , which has been creating a remarkable cultural phenomenon since April 2019, and to examine the potential for its transition to transmedia franchise. Based on Henry Jenkins'seven principles of transmedia storytelling, shows satisfactory relevance in all but 'multiplicity'out of the 10 capacities consisting of the principles. In particular, was found excellent in terms of core capacities such as 'spreadability', 'immersion', 'worldbuilding', 'continuity', 'drillability' and 'performance'. In addition, critical discourse analysis(CDA) in sociocultural practice dimension of the keywords of the related news articles has discovered that is strongly linked to the following five values: 'social integration', 'resistance against authoritarianism', 'self-dignity and reasonable individualism', 'gender neutrality' and 'ecologism', indicating the reason why the work has been able to resonate so extraordinarily with participants across all generations. By answering the two chosen research questions, this study has proved that has high potential to be successful in evolving into transmedia franchise, while keeping building a new realm of edutainment storytelling by cleverly exploiting EBS's unique identity as a public education broadcaster. is viewed as an exceptional property capable of advancing transmedia storytelling in the local market; thus, productive arguments and contemplation over its evolution in storytelling needs to continue so that it can maintain a long-lasting positive influence.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.4
• /
• pp.27-39
• /
• 2014

The role of R&D center for technology commercialization can be categorized into three distinct stages: the first stage consists in developing industrial problem-solving capability; the second consists in catching up with industrialized economies developing creative imitations of imported technologies; and the third consists in acquiring advanced knowledge creation capability. Accordingly, the R&D center's organization should be aligned with this development strategy. This case study of Kazakhstan provide a managerial implication for the other developing countries. The first stage of development, which may be called the 'industrial problem solving stage,' the center will build the infrastructure in terms of both technology and human-resources. The second stage will involve building up 'knowledge capability' with a view to becoming a major industrial R&D hub in Central Eurasia. In the third stage, the center will create advanced knowledge as a 'world-class knowledge center'. In this regard, the evolution of the R&D center should be described according to the features of the center's services.

• Journal of Information Technology Applications and Management
• /
• v.20 no.3_spc
• /
• pp.259-278
• /
• 2013

At the center of the repeating evolution of IT industry, there is mobile computing in the ubiquitous environment, and the increasing usage of smart phones contribute more to its growth. P corporation co-developed with Google and implemented smart work system called SWP for the purpose of 'communication and collaboration with co-workers' beyond the general goal of increasing productivity and comfort of employees. The primary objective of this study is to objectively analyze the influence of the effect factor from end user's perspective and user satisfaction on SWP usage, intention for continuous usage and individual performance. To accomplish this research purpose, this study established research models and hypothesis by collective review about information system success models, and tested the research hypotheses using the structural equation modeling technique by data collected from 320 SWP system users of P corporation. Variations for system satisfaction evaluation standard are 1)SW system usage 2) intention for continuous usage 3) individual performance, effect variations are 1) social factors 2) technical factors 3) combination of social and technical factors. Therefore, this study is about influence factors on success of SWP system and how the factors impact the outcome. The test results of this research model is summarized as follows. Firstly, system user's satisfaction had positive impact on all three; SWP system usage, intention for continuous usage and individual performance. Secondly, social factor 'SWP control system' and technical factor 'information quality' and 'system quality' had positive impact on SWP system user satisfaction, while social factor 'shared value' and technical factor 'service quality' did not have significant effect on user satisfaction. Shared value however, had interactive effect with 'information quality' and 'service quality'. This study is expected to contribute to spread of academic research on smart work system by suggesting a model that can show important factors for corporation while explaining the successful implementation of SWP and its continuous usage.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.12
• /
• pp.1295-1304
• /
• 2004

In this paper, the Bayesian recurrent neural network is proposed to predict time series data. A neural network predictor requests proper learning strategy to adjust the network weights, and one needs to prepare for non-linear and non-stationary evolution of network weights. The Bayesian neural network in this paper estimates not the single set of weights but the probability distributions of weights. In other words, the weights vector is set as a state vector of state space method, and its probability distributions are estimated in accordance with the particle filtering process. This approach makes it possible to obtain more exact estimation of the weights. In the aspect of network architecture, it is known that the recurrent feedback structure is superior to the feedforward structure for the problem of time series prediction. Therefore, the recurrent neural network with Bayesian inference, what we call Bayesian recurrent neural network (BRNN), is expected to show higher performance than the normal neural network. To verify the proposed method, the time series data are numerically generated and various kinds of neural network predictor are applied on it in order to be compared. As a result, feedback structure and Bayesian learning are better than feedforward structure and backpropagation learning, respectively. Consequently, it is verified that the Bayesian reccurent neural network shows better a prediction result than the common Bayesian neural network.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.39 no.3
• /
• pp.156-169
• /
• 2016

The objective of this study is to investigate patent trends of Daegu city which tries to introduce environment friendly energy and to develop new technology or new industry sprung from technology convergence on smart decentralized energy technology and other technologies. After applying network analysis to corresponding groups of technology or industry convergence, strategy for future energy convergence industry is provided. Patent data applied in Daegu city area are used to obtain research goal. The technology which contains several IPC codes (IPC Co-occurrence) is considered as a convergence technology. Path finder network analysis is used for visualizing and grouping by using IPC codes. The analysis results categorized 13 groups in energy convergence industry and reclassified them into 3 cluster groups (Smart Energy Product Production Technology Group, Smart Energy Convergence Supply Technology Group, Smart Energy Indirect Application Technology Group) considering the technical characteristics and policy direction. Also, energy industry has evolved rapidly by technological convergence with other industries. Especially, it has been converged with IT industry, and there is a trend that energy industry will be converged with service industry and manufacturing industry such as textile, automobile parts, mechanics, and logistics by employing infrastructure as well as network. Based on the research results on core patent technology, convergence technology and inter-industry analysis, the direction of core technology research and development as well as evolution on decentralized energy industry is identified. By using research design and methodology in this study, the trend of convergence technology is investigated based on objective data (patent data). Above all, we can easily confirm the core technology in the local industry by analyzing the industrial competitiveness in the macro level. Based on this, we can identify convergence industry and technology by performing the technological convergence analysis in the micro level.

• Journal of Cadastre & Land InformatiX
• /
• v.44 no.1
• /
• pp.1-15
• /
• 2014

This paper, at first, intends to develop a conceptual model of spatial information eco-system based on the related literature reviews. The basic requirements in constructing the model are also specified. Next, the functional roles and interrelationships among the actors constituting the eco-system are analyzed to investigate the major reasons of inefficient and unsmooth flows of value-added process of Korean spatial information industry. Especially, the Korea Cadastral Survery Corp.(KCSC), which has dual organizational characteristics of public and private entity, is analyzed to be positioned as the most dominant actors in the eco-system. However, the KCSC needs to be changed and challenged to re-establish the missions and institutional roles for upcoming network societies. Here, we proposed 4 future-oriented development strategies and action plans to promote the Korean spatial information industry and to activate the eco-system.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.7 no.4
• /
• pp.65-73
• /
• 1997

This paper proposes a new method of the structure pruning of dynamic recurrent neural networks (DRNN) using evolutionary computations. In general, evolutionary computations are population-based search methods, therefore it is very useful when several different properties of neural networks need to be optimized. In order to prune the structure of the DRNN in this paper, we used the evolutionary programming that searches the structure and weight of the DRNN and evolution strategies which train the weight of neuron and pruned the net structure. An addition or elimination of the hidden-layer's node of the DRNN is decided by mutation probability. Its strategy is as follows, the node which has mhnimum sum of input weights is eliminated and a node is added by predesignated probability function. In this case, the weight is connected to the other nodes according to the probability in all cases which can in- 11:ract to the other nodes. The proposed pruning scheme is exemplified on the stabilization and position control of the inverted-pendulum system and visual servoing of a robot manipulator and the effc: ctiveness of the proposed method is demonstrated by numerical simulations.

• Transactions of the KSME C: Technology and Education
• /
• v.4 no.2
• /
• pp.111-116
• /
• 2016

Consumer's value based content and business platform are more important than the existing supplier based market. Convergence civilization paradigm is being accelerated with expanded combination of information & communication technology and others. In this study, it was classified into four groups with respect to the level and viewpoints of innovation in products and services, which were already supplied on the market by industry convergence activity. Barriers that are obstacles to the development of a new converged industry through strategic approaches were identified by surveying the current industrial status. In detail, they were summarized with respect to three aspects, such as, target, infrastructure and main agent of individual sector. Finally, it presents an alternative to overcome the obstacles and develop a new growth engines for the future industrial evolution.

• CRM연구
• /
• v.1 no.1
• /
• pp.87-108
• /
• 2006

This study presents how the sharing of values and philosophies in Customer Relationship Management (CRM) links the customer with the enterprise, thereby enhancing its performance. Using channel integration, customer experience management, and partner relationship management, this i-focus case suggests a number of improvements for local corporations that have adopted CRM, but have not succeeded in enterprise-wide integration. Successful execution of CRM strategy is found to require the sharing of values and philosophies not only within the organization, but also with its customers. Furthermore, the study concludes that CRM is an ongoing process which requires continuous evolution through reflection of past activities and dynamic adjustment of objectives in order to reach customer cenricity.