• Cartoon and Animation Studies
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• s.43
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• pp.123-150
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• 2016

There has been discussed very little about animation authorship studies, especially the themes of authors and their original animation texts since 1990s. This study is to explore the academic discourse of animation authorship studies understanding the media aesthetics of animation and the scholarly approach of animation studies about authorship. This article examines 55 articles via meta analysis about animation authorship studies drawn from the 1,516 articles on the general animation studies. The results were as follows. First, the domestic animation studies on the authorship were made about animators of Japan, US, and european countries. Second, It was dominant that scholarly interest on the screen direction and visual expression of animation texts. This shows the authorship approaches were mainly about visual aspects of animations. The domestic animation authorship studies did not trace the authorship issues on author's world view and visual style revealed in the corpus of texts. Instead, they discussed authorship issues on the characteristics of individual animation text. It has been evident that animation studies were not enthusiastic about building the independent theory on animation. Therefore, animation studies have tried theorizing the animation issues borrowing the literature and film theories. This study can contribute to increase phase of animation studies by drawing the intensive discussion of animation authors and their authorship.

• Cartoon and Animation Studies
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• s.20
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• pp.47-61
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• 2010

The Uncanny Valley is a hypothesis introduced by a roboticist, Masahiro Mori. The theory holds that as robots and other facsimiles of humans look and act more human-like, the emotional response from a human spectator to them will become increasingly empathic, until they approach realistic similarity to humans but not quite exactly like them, when those images stop being likable and instead become repulsive and "uncanny." Although the scientific validity of this hypothesis is still debatable, it is true that many spectators has tendency to reject hyper-realistic animation. For that reason, the great success of the recent movie Avatar is remarkable. Computer animations that try to represent humans in hyper-realistic way fall into a paradox: successful result images would look too mundane and unsuccessful ones look "wrong". On top of that, audience would expect from hyper-realistic animation to see same level of acting of live-action films, which is usually not the case. The subtle differences between digital characters and real actors irritate spectators and hinder them in absorbtion. The biggest difference between Avatar and other hyper-realistic animation is the referent of their representation. While Avatar pursues a similar hyper-realistic visual style, the referents of the representation shown in this movie are totally alien to us thus impossible to compare with the real counterparts. Unlike characters in other hyper-realistic animations who had to fight an uphill battle with great actors in real life, those in Avatar have criteria of their own. That is why this movie can be free from the dreadful valley and let the audience absorb into the spectacle.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.2
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• pp.93-102
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• 2014

This quantitative research aims to examine the connectivity of forest networks in seven metropolitan cities of South Korea using a graph-theoretical approach. We first estimated an overall network connectivity at multi-scales (i.e., dispersal distances), ranging from 100 m to 20 km, and quantified the contribution of small forest patches (less than 10 ha) to the overall network connectivity by comparing networks according to the presence and absence of small ones. As a result, the cities were divided into two groups depending on the network connectivity; one group of cities with high connectivity such as Daegu, Daejeon, and Ulsan and the other group of cities with low connectivity including Gwangju, Busan, Seoul, and Incheon. The result showed that small forest patches, especially in the cities with low connectivity, played a key role as stepping stones that connect large forested patches, thereby contributing to maintaining connectivity. This study also suggests that large and well-connected forest areas may be the key factor to preserve the connectivity in the cities with high connectivity, while the cites with low connectivity are in need of some complementary strategies. Through the study, we suggest that the creation of new forest patches in the areas where a gap in connectivity presents is needed in order to improve connectivity; and that the conservation of the existing small forest patches is essential in order to maintain the current connectivity level.

• Journal of Korea Water Resources Association
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• v.31 no.1
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• pp.13-25
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• 1998

It is necessary to develop methodologies for the application of artificial neural network into hydrologic rainfall-runoff process, although there is so much applicability by using the functions of associative memory based on recognition for the relationships between causes and effects and the excellent fitting capacity for the nonlinear phenomenon. In this study, some problems are presented in the application procedures of artificial neural networks and the simulation of runoff hydrograph experiences are reviewed with nonlinear functional approximator by artificial neural network for rainfall-runoff relationships in a watershed. which is regarded as hydrdologic black box model. The neural network models are constructed by organizing input and output patterns with the deserved rainfall and runoff data in Pyoungchang river basin under the assumption that the rainfall data is the input pattern and runoff hydrograph is the output patterns. Analyzed with the results. it is possible to simulate the runoff hydrograph with processing element of artificial neural network with any hydrologic concepts and the weight among processing elements are well-adapted as model parameters with the assumed model structure during learning process. Based upon these results. it is expected that neural network theory can be utilized as an efficient approach to simulate runoff hydrograph and identify the relationship between rainfall and runoff as hydrosystems which is necessary to develop and manage water resources.

• Journal of Science and Technology Studies
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• v.20 no.1
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• pp.39-85
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• 2020

With the development of information technology, fake news is becoming a serious social problem. Individual measures to manage the problem, such as fact-checking by the media, legal regulation, or technical solutions, have not been successful. The flood of fake news has undermined not only trust in the media but also the general credibility of social institutions, and is even threatening the foundations of democracy. This is why one cannot leave fake news unchecked, though it is certainly a difficult task to accomplish. The problem of fake news is not about simply judging its veracity, as no news is completely fake or unquestionably real and there is much uncertainty. Therefore, managing fake news does not mean removing them completely. Nor can the problem be left to individuals' capacity for rational judgment. Recurring fake news can easily disrupt individual decision making, which raises the need for socio-technical measures and multidisciplinary collaboration. In this study, we introduce a new public online platform for fake news management, which incorporates a multidimensional and multidisciplinary approach based on citizen science. Our proposed platform will fundamentally redesign the existing process for collecting and analyzing fake news and engaging with user reactions. People in various fields would be able to participate in and contribute to this platform by mobilizing their own expertise and capability.

• Korean Journal of Social Welfare
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• v.64 no.4
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• pp.209-231
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• 2012

Recently, the many anti- stigma program use the 'mental illness is an illness like any other biogenetic illness' approach. This is based on Weiner's attribution affection theory. However, mental illness is difficult to be applied with attribution affection premise because attributing no blame for mental problem(biogenetic cause) leads to fear and dangerousness. We proposed a modified attribution affection model that explains the relations between biogenetic causal belief and social distance. Our model assumed that attributing personal responsibility for each mental problem leads to anger and social distance. And attributing no blame for mental problem(biogenetic causal belief) reinforces perception of dangerousness and social distance. This study presented typical vignettes of schizophrenia, depression and alcoholism according to the diagnosis criteria of DSM-IV to 768 university students randomly. Path analysis was used to test modified attribution affection model. The major findings are, First our original model modified partially for fit index. So final model assumed that i) The more respondents believed personal responsibility, the more anger, the more anger reaction corresponded closely with more social distance. ii) biogenetic causal beliefs leads to a worsening of dangerousness and perception of dangerousness leads to a increasing of social distance. Second, multi-group analysis was conducted to verify how a modified attribution affection model would be applicable to three groups. The result is that there is no difference among three groups. Finding from this research suggest to change anti-stigma program that use medical model.

• Management & Information Systems Review
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• v.37 no.3
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• pp.115-130
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• 2018

The purpose of this study is to clarify the relationship between organizational characteristics and information systems characteristics or job satisfaction, attempts to examine the regulatory effects brought about by the adjustment of social capital theory. So far, The results of this study are based on the analysis of individual models from the perspectives of each functional organization such as HR, organization, finance, operation, and MIS. Therefore, this paper attempted a comprehensive analysis of factors affecting job satisfaction and firm performance by presenting an integrated research model of organizational perspectives in addition to the approach of MIS perspective. The characteristics of information system were promptness, CEO support, and compensation. And the organizational characteristics were multiple regression analysis using innovation, trust, and preferential factors. The analysis data is based on sixth data from the HCCP of Korea Productivity Center. According to the analysis results, all the variables had a significant influence on satisfaction, especially CEO support and trust. The analysis of the moderating effect between innovation and job satisfaction was moderated by vision sharing. Only the logistic regression analysis of the satisfaction with the average salary of the members among the demographic variables was statistically significant. Therefore, this study can be concluded that the overall satisfaction level will be improved by recognizing appropriate compensation as sufficient compensation.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.219-235
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• 2016

This study was performed to study the factors appear to SMEs and how differently depending on the worker ranks at the convergence age. Additionally, numerous studies and results on the factors which affect the organization's performance was to individually different approach to integrated. Especially venture was divided by a factor of enterprises and transformational dynamics factors and commutative Dynamics factors and approaches in terms of the impact transformative dynamics of which factors are organizational commitment and job satisfaction. A transformational dynamism to the four factors were such as mission and strategy, CEO Leadership, Manager, leadership, organizational culture variables. The study was based on theoretical models of organizational development, Burke and Litwin (1992). They were classified as managers and production workers. By obtaining data from employees 630 people engaged in a total of nine manufacturers were analyzed. The average variable based on the organization's Burke and Litwin (1992) theory of transformational variables is one that Nana was aware of the organizational commitment, and job satisfaction. Correlation analysis transformational dynamics variables're having an impact on job satisfaction and organizational commitment, job position is found to have moderating effects.

• The Journal of the Acoustical Society of Korea
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• v.33 no.3
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• pp.191-199
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• 2014

Wave reflection and transmission characteristics in waveguides are an important issue in many engineering applications. A combined spectral element and finite element (SE/FE) method is used to investigate the effects of local non-uniformities but limited at relatively low frequencies because the SE is formulated by using a beam theory. For higher frequency applications, a method named a combined spectral super element and finite element (SSE/FE) method was presented recently, replacing spectral elements with spectral super elements. This SSE/FE approach requires a long computing time due to the coupling of SSE and FE matrices. If a local non-uniformity has a uniform cross-section along its short length, the FE part could be further replaced by SSE, which improves performance of the combined SSE/FE method in terms of the modeling effort and computing time. In this paper SSEs are combined to investigate the characteristics of waves propagating along waveguides possessing geometric non-uniformities. Two models are regarded: a rail with a local defect and a periodically ribbed plate. In the case of the rail example, firstly, the results predicted by a combined SSE/FE method are compared with those from the combined SSEs in order to justify that the combined SSEs work properly. Then the SSEs are applied to a ribbed plate which has periodically repeated non-uniformities along its length. For the ribbed plate, the propagation characteristics are investigated in terms of the propagation constant.

• Journal of the Korean Chemical Society
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• v.27 no.5
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• pp.330-339
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• 1983

The CNDO/2 and STO-3G calculations were performed on nitrogen, oxygen, and sulfur compounds in order to examine the effect of interactions between two nonbonding (n) orbitals in the same molecule separated by N intervening $\sigma$ bonds based on the PMO approach. Calculated basis level energies, energy splittings, and interaction energy changes for both chain and cyclic model compounds were qualitatively compared with the corresponding predictions derived from perturbational formalism for n-n orbital interactions and successfully explained in terms of the derived energy expressions. In general, through-space interaction term could be neglected in the N and O systems. And the calculated results were explained simply by through-bond interaction term. As a result, through-bond interaction placed n- below n+ for odd systems and n+ below n- for even systems. Also energy splittings in odd systems were larger than those in even systems. However, in the cases of cis-ethylene diamine and o-phenylene diamine(conformer VI in Table 4), through-space interaction term was found to be substantial and the opposing effects of through-space and through-bonds interactions were observed. Finally it was found that the interactions between two n orbitals on S atoms always had some contribution of the destabilizing through-space interaction term. This result was consistent with the fact that the lone pair lobes of third elements were larger in size than those of the second period elements.