• Journal of Korean Society of Archives and Records Management
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• v.15 no.4
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• pp.173-194
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• 2015

The study reports a preliminary analysis for the No-Gun Ri massacre documentation strategy based on Hackman and Wornow-Blewett's implementation model, as an appraisal and selection method for No-Gun Ri Digital Archives. It intends to review the theoretical background for this process, inlcuding a history of the No-Gun Ri massacre and the development of documentation strategy. From the theoretical analysis, this study identified the No Gun Ri documentation strategy processes in 5 categories: "cooperative collecting", "collecting in specific areas", "identifing missing areas" and "advisory group". With these 5 categories, this study discusses the application of the Hackman and Wornow-Blewett's implementation model in the No Gun Ri case and reviews the strategy's pros and cons. As a result, firstly, we classfy focusing groups into "victims and bereaved family", "government", "civil society", "the press" and "literature and art". Secondly, we also classify documentation categories into "massacre records", "investigation activity records" and "cherish memory".

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.1
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• pp.41-50
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• 2008

Recent progress in state-of-the-art geospatial information technologies such as digital mapping, LiDAR(Light Detection And Ranging), and high-resolution satellite imagery provides various data sources fer Digital Elevation Model(DEM). DEMs are major source to extract elements of the hydrological terrain property that are necessary for efficient watershed management. Especially, watersheds extracted from DEM are important geospatial database to identify physical boundaries that are utilized in water resource management plan including water environmental survey, pollutant investigation, polluted/wasteload/pollution load allocation estimation, and water quality modeling. Most of the previous studies related with watershed extraction using DEM are mainly focused on the hydrological elements analysis and preprocessing without considering grid size of the DEMs. This study aims to analyze accuracy of the watersheds extracted from DEMs with various grid sizes generated by LiDAR data and digital map, and appropriate preprocessing methods.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.129-136
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• 2010

With mobile computing, wireless sensor network and sensor technologies, ubiquitous computing services are being realized and could satisfy the feasibility of ubiquitous healthcare to everyone. This u-Healthcare service can improve life quality of human since medical service can be provided to anyone, anytime, and anywhere. To confirm the vision of u-Healthcare service, we've implemented a healthcare system for heart disease patient which is composed of two components. Front-end collects various signals such as temperature, blood pressure, SpO2, and electrocardiogram, etc. As a backend, medical information server accumulates sensing data and performs back-end processing. To simply transfer these sensing values to a medical team may be too trivial. So, we've designed a model based on context awareness for more improved medical service which is based on artificial neural network. Through rigid experiments, we could confirm that the proposed system can provide improved medical service.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.136-148
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• 2021

In this study, the theoretical principle and structural practice of Estill Voice Training model that enables independent control of voice organs in the actor's acting art using voice as a medium of artistic expression. Its purpose is to explore the positive utility that can be applied to operation. The research on the speech science methodology that controls the differences in speech output due to the principle of the generation organ is a reality that has not been actively introduced in Korea compared to the existing actor's speech training that encompasses both the mind and the body. Voice can guarantee the accuracy and stability of operation when an understanding of our body is preceded based on anatomical physiology as well as contribute to the characterization of the character's phonetic character an element of character creation. Considering the training model through proprioception in actor voice training has practical value and alternative significance that the actor can be sought as a principle and practical methodology in the process of generating a series of target sounds.

• Knowledge Management Research
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• v.20 no.3
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• pp.173-193
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• 2019

Reward-based crowdfunding is a funding platform that allows funds to be raised to early operators who have lack of funds, and is seen as an outstanding infrastructure that is going to lead the fourth industrial revolution in that it is a field of realization of new technologies and creative ideas by start-ups. Reward-based crowdfunding has grown in line with the trend of the fourth industrial revolution, and funding success cases are taking place in various industries that culture/art to technology/IT, including as a new means of knowledge management in a rapidly changing industrial environment. The study focused on the fact that consumer's donation purposes may also vary depending on the category of projects classified as reward-based crowdfunding. Because consumer payment decisions and motivation of consumer purchasing behavior are classified according to the purpose of purchase, the previous papers that the goal gradient effect that the main motivation of consumer donation for reward-based crowdfunding introduced vary depending on project category of utilitarian and hedonic. In this study, consumer's daily donation data is collected by Indiegogo which is a leading reward-based crowdfunding company using web-crawling and the model was defined as propensity score matching (PSM) and random effect model. The results showed that the goal gradient effect occurred in utilitarian project category, but no goal gradient effect for the hedonic project category. Furthermore, this paper developed the study of motivation of consumer donation and contributes theoretical foundation by the results consumer donation may vary depending on the project category; also, this paper has implications for an effective marketing strategy depending on the project category leaves real meaning to the projector.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.837-852
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• 2021

Recurrent neural network (RNN) architectures have been used for language modeling (LM) tasks that require learning long-range word or character sequences. However, the RNN architecture is still suffered from unstable gradients on long-range sequences. To address the issue of long-range sequences, an attention mechanism has been used, showing state-of-the-art (SOTA) performance in all LM tasks. A differentiable neural computer (DNC) is a deep learning architecture using an attention mechanism. The DNC architecture is a neural network augmented with a content-addressable external memory. However, in the write operation, some information unrelated to the input word remains in memory. Moreover, DNCs have been found to perform poorly with low numbers of weight parameters. Therefore, we propose a robust memory deallocation method using a limited retention vector. The limited retention vector determines whether the network increases or decreases its usage of information in external memory according to a threshold. We experimentally evaluate the robustness of a DNC implementing the proposed approach according to the size of the controller and external memory on the enwik8 LM task. When we decreased the number of weight parameters by 32.47%, the proposed DNC showed a low bits-per-character (BPC) degradation of 4.30%, demonstrating the effectiveness of our approach in language modeling tasks.

• The Research Journal of the Costume Culture
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• v.29 no.1
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• pp.87-102
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• 2021

The purpose of this study is to investigate customer satisfaction factors that affect customer loyalty and revisit intention, and the seven factors which comprise the marketing mix that affects customer satisfaction. loyalty, and intention to revisit. The purpose of the project is to propose a research model by testing the mediated effects of customer satisfaction and loyalty using mainly factor analysis, regression analysis, and mediation analysis. First the results showed that the marketing mix 7P factors influence customer satisfaction were identified as service delivery process, product, physical basis, and promotion. The factors that influence marketing mix 7P customer loyalty were tested in the order of service delivery, physical basis, product, and distribution. Second, the factors that affect customer loyalty were artists, service, and prices whereas the factors that affect customer satisfaction were tested in the order of service, artist, cosmetics, and price. Third, the factors affecting customer revisit intention were newly derived as treatment satisfaction, professionalism, and treatment products. Fourth, the relationship between marketing mix and customer revisit intention suggested that customer satisfaction and customer loyalty has a partial sale effect. It can be suggested on the basis of these findings that the effect of makeup service with marketing mix on customer revisit intention was analyzed and a new model was derived by analyzing the mediated effect of customer satisfaction and customer loyalty.

• Advances in nano research
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• v.10 no.3
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• pp.253-261
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• 2021

Polydimethylsiloxane (PDMS) is one of the most widely adopted silicon-based organic polymeric elastomers. Elastomeric nanostructures are normally required to accomplish an explicit mechanical role and correspondingly their mechanical properties are crucial to affect device and material performance. Despite its wide application, the mechanical properties of PDMS are yet fully understood. In particular, the time dependent mechanical response of PDMS has not been fully elucidated. Here, utilizing state-of-the-art PeakForce Quantitative Nanomechanical Mapping (PFQNM) together with Force Volume (FV) and Fast Force Volume (FFV), the elastic moduli of PDMS samples were assessed in a time-dependent fashion. Specifically, the acquisition frequency was discretely changed four orders of magnitude from 0.1 Hz up to 2 kHz. Careful calibrations were done. Force data were fitted with a linearized DMT contact mechanics model considering surface adhesion force. Increased Young's modulus was discovered with increasing acquisition frequency. It was measured 878 ± 274 kPa at 0.1 Hz and increased to 4586 ± 758 kPa at 2 kHz. The robust local probing of mechanical measurement as well as unprecedented high-resolution topography imaging open new avenues for quantitative nanomechanical mapping of soft polymers, and can be extended to soft biological systems.

• Journal of Advanced Navigation Technology
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• v.26 no.4
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• pp.226-234
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• 2022

With advances in autonomous vehicles and networked control, there is a growing interest in the consensus control of a multi-agents system to control multi-agents with distributed control beyond the control of a single agent. Since consensus control is a distributed control, it is bound to have delay in a practical system. In addition, it is often difficult to have a very accurate mathematical model for a system. Even though a reinforcement learning (RL) method was developed to deal with these issues, it often experiences slow convergence in the presence of large uncertainties. Thus, we propose a slide RL which combines the sliding mode control with RL to be robust to the uncertainties. The structure of a sliding mode control is introduced to the action in RL while an auxiliary sliding variable is included in the state information. Numerical simulation results show that the slide RL provides comparable performance to the model-based consensus control in the presence of unknown time-varying delay and disturbance while outperforming existing state-of-the-art RL-based consensus algorithms.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.148-161
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• 2022

Korea's design developed closely related to economic growth and plays a key role in material growth, wealth growth, and consumption promotion today. Of course, it is true that Korea's design level has grown significantly, but it has not reached a trend-leading level. Behind this, it is thought that one of the reasons behind this is that most design companies are biased towards trend research and benchmarking from a supplier perspective, resulting in the creation of design sculptures. If you look at the examples that lead the world's design trends, you can see that their subjective thinking from the author's point of view accounts for a significant portion of design sculpture creation. Through an in-depth interview with designers and artists at both extremes of the spectrum of thought, I want to look at examples of self-expression design development and get implications for suggesting conceptual models of self-expression design sculpture. Through this, a conceptual model was proposed, which is organized into a five-step design creation process in which balanced thinking is achieved by combining the thinking system and process according to the writer's point of view with the majority of design creation dominated by supplier perspective.