• Journal of Satellite, Information and Communications
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• v.8 no.4
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• pp.150-158
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• 2013

In Korea, the official monitoring of the atmospheric re-entry of satellites or space debris was initiated by the first operation of a re-entry situation analysis team for the 'Cosmos 1402' of the Soviet Union, which main body re-entered on January 23, 1983 and radio active core re-entered on February 7, 1983. After this incident, a task force team consisting Korea Astronomy and Space Science Institute (KASI), Korea Aerospace Research Institute (KARI) and other related institutes operated a situation monitoring group under the supervision of the Ministry of Science and technology (MOST) for the controlled re-entry of the Russian 'Mir' space station in 2001. The re-entry of the upper atmospheric weather satellite 'UARS' of United States had been monitored and analyzed by KASI on September 24, 2011. As the re-entry of the space object has been frequently occurred, the government officials and the experts from MEST (Ministry of Education, Science and Technology), KASI, KARI had an urgent official meeting to establish a satellite re-entry monitoring room in KASI and to give an operational authority to KASI in September 14, 2011. Under this decision, the satellite re-entry monitoring room in KASI has successfully executed the monitoring, data analyzing, official reporting, media contacting, and public announcing for the German satellite 'Roentgen' in October 2011, Russian space explorer 'Phobos-Grunt' in January 2012, Russian satellite 'Cosmos 1484' in January 2013, and European geodetic satellite 'GOCE' in November 2013 with the support from the Korean Air Force and KARI.

• Journal of Korea Multimedia Society
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• v.13 no.11
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• pp.1715-1727
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• 2010

Although a hand haptic interaction which provides direct and natural sensation is the most natural way of interacting with VR environment, the hand haptic interaction has still limitations with respect to the complexity of articulated hand and related hardware capabilities. Particularly, virtual assembly simulation which refers to the verification process of digital mockup in product development lifecycle is one of the most challenging topics in virtual reality applications. However, hand haptic interaction is considered as a big obstacle, because difficulty initial grasping and non-dextrous manipulation remain as unsolved problems. In this paper, we propose that common hand haptic interactions involves two separate stages with different aspects. We present the hand haptic interaction method enables us to stably grasp a virtual object at initial grasping and delicately manipulate an object at task operating by one's intention. Therefore, proposed method provides the robustness using grasping quality and dextrous manipulation using physically simulation. We conducted experiments to evaluate the effectiveness of our proposed method under different display environments -monoscopic and stereoscopic. From 2-way ANOVA test, we show that the proposed method satisfies two aspects of hand haptic interaction. Finally, we demonstrated an actual application of various assembly simulation for relatively complex models.

• The Journal of Art Theory & Practice
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• no.2
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• pp.147-168
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• 2004

This study examined the role of interpretation with various practices in art museums to seek a new meaning and a concept of art museum today. The exploration of interpretation would he a starting point to discuss about on art museums with professionals in each art-related field. While museums recognize the concept of interpretation and the scope of the functions in different levels, the study focused on the practices of collecting and exhibiting that will entrust the museum new realms of activities toward the audience. In particular, its emphases are set force on the information on the collections via the museum's web sites, interpretation policies, and theories and methodologies in exhibition development. Art museum websites well reflect how museums utilize the new medium to enhance the understanding of art works by providing in-depth art historical information, comprehensive contexts, and subject/concept based search methods. In recent decades, these have enacted changes to expand dimensions of interpretive functions in most museums, particularly in the United States and others. In an administrative perspective, Tate Gallery Interpretation Policy became an good example how an art museum put its interpretation philosophy as the basis of interpreting collection and public programs. Tate established functions of intrepretation and education not only within a task-based team but also as an intrer-divisional coorperation to provide an interpretation scheme of information provisions such as guide brochure, audio tour, multimedia content, and library. New environment and trends of museum exhibition, and its development processes stem from communication theories, object interpretation philosophy, display strategies, and various evaluation techniques through audiences, with the communication theories of Shannon and Weaver, Berlo's SMCR(Source-Message-Channel-Receiver) models were perceived as to understand the mechanism to communicate museum exhibits to visitors Suzan vogel's insight into object display strategy helped to conceive the mechanism of object recontextualization. She emphasized that the museum's practice to construe opinions and impressions through object display should be discreet and critical, therefore, the professionals to plan the exhibition should reveal the intention and their practices. For a prevailing new methodology from the field, the interpretive exhibition development processes are articulated as the front-end, formative, and summative evaluation, futhermore the team process in industrial product management models was adapted. These have turned out to be more interactive with visitors and effective to communicate the exhibition concepts and messages, hence resulting in enriched museum experiences. Finally the study concluded that understanding the aspects of interpretation should help art museums to set a framework for current practices to expand its public dimension. It can provide curators with a critical view to website planning and its content. And obviously, the interpretive exhibition development methodology will lead museum exhibition developers to be skilled in its current approaches to thematic exhibition concerning diverse subjects and topics.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.519-529
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• 2015

The purpose of this study is to examine the determinant factors of maintaining employment in young adults with intellectual disabilities who took part in a vocational training program and was employed. The determinant factors were from four areas, such as physical competence, job-related task performance, emotional behaviors, and functional adaptive behaviors. 64 young adults with intellectual disabilities participated in this study. The participants' capacities were examined during the program, and then their job retention was examined through a follow-up survey six month after the end of the program. Tests contained hand dexterity, grasp strength, finger strength, visual-perception, Survey of Functional Adaptive Behaviors, and Observational-Emotional Inventory-Revised. After data collection, the data were analyzed by binary logistic regression. The results indicated that dexterity in both hands (OR= 1.123) in physical competence, anxiety (OR= .733) and socialization (OR= .429) in emotional behaviors, and academic skills (OR= 1.077) and vocational skills (OR= 1.542) in functional adaptive behaviors were significant determinant factors. These significant factors which affected job attention were consistent with the results from previous studies, and should be considered when designing and constructing an effective career and vocational education program for young adults with intellectual disabilities.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.109-123
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• 2004

Corporate financial distress and bankruptcy prediction is one of the major application areas of artificial neural networks (ANNs) in finance and management. ANNs have showed high prediction performance in this area, but sometimes are confronted with inconsistent and unpredictable performance for noisy data. In addition, it may not be possible to train ANN or the training task cannot be effectively carried out without data reduction when the amount of data is so large because training the large data set needs much processing time and additional costs of collecting data. Instance selection is one of popular methods for dimensionality reduction and is directly related to data reduction. Although some researchers have addressed the need for instance selection in instance-based learning algorithms, there is little research on instance selection for ANN. This study proposes a genetic algorithm (GA) approach to instance selection in ANN for bankruptcy prediction. In this study, we use ANN supported by the GA to optimize the connection weights between layers and select relevant instances. It is expected that the globally evolved weights mitigate the well-known limitations of gradient descent algorithm of backpropagation algorithm. In addition, genetically selected instances will shorten the learning time and enhance prediction performance. This study will compare the proposed model with other major data mining techniques. Experimental results show that the GA approach is a promising method for instance selection in ANN.

• Journal of Korea Technology Innovation Society
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• v.10 no.2
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• pp.206-229
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• 2007

This study draws on a sociopolitical perspective to investigate the possible impact of champion leadership by project leaders on project viability(resource supply and organizational support) and team members' team efficacy by analyzing the empirical data of 92 ongoing projects collected from 22 public and private R&D institutes in the electronics, telecommunication, machinery, and chemical industries. Results revealed that higher level of project championing by project leader tended to positively related to a high level of organizational support and resource supply. It was also found that teams members who experienced higher level of project championing by project leader tended to have higher team efficacy. Furthermore, project type and innovative climate moderate the champion leadership-project performance relationships. The results found in this study offer several theoretical and managerial implications. First, champion leadership by project leaders is quite helpful to get more moral support and legitimacy of the organization for the project, and thus for acquisition of more tangible and intangible resources required for successful implementation of the R&D project. Champion leadership by project leaders also impacts the morale and self-confidence of the team members. Project leaders gives a sense of purpose and meaning to project members by actively and enthusiastically promoting the project, and by expressing confidence in team members' capabilities to perform a given task. In addition, his or her soliciting assistance and additional resources can contribute the building the confidence of members that the project can be performed well. Second, the relationship between champion leadership and project performances is context-specific (i.e., project type and innovative climate). This study is one of the few to have tested the moderating effects between champion leadership and project performances with a empirical research design. This study extends the current knowledge on champion leadership in the innovation process by generalizing their importance in R&D projects to a new industrializing context, Korea, and further sheds light on the contingent relationship between champion leadership and project performances in the innovation process. Based on these findings, some areas for future research are discussed.

• Korean Security Journal
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• no.44
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• pp.251-278
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• 2015

Registered security guards carry out police duties as civilian police who are in charge of security service, and so they have a two-fold status: a civilian in terms of a social standing and a policeman in the way that they execute the authority of security. The problem caused by this legal position is that their legal rights and obligation can be unclear in the task-action and working relationship. This paper attempts to study their functions, rights, and legal duties through the interpretation of the related positive law so as to reveal the problems that may spring from this ambiguous status of registered security guards. This endeavor illuminates their legal status specified in the positive law in and around the Act on the police assigned for special guard, observing their functions and the legal duties in the pursuit of their tasks, and ending up pointing out the problems of the positive law. As a result of research work, the most significant problems, even if multifarious, are the avoidance of the state reparation in the responsibility for the illegal behavior in connection with their operation; the unconstitutionality of the disciplinary punishment regulation originated from the entrust with full powers; the imperfection of the rules about the cooperative ties with the police; the possibility of human rights abuse caused by the ban on the labor dispute; the equality problems from the dual pay system; and the inadequacy of the codes about the recruitment qualification and method. This research is intended to help achieve the purpose of the security of national critical facilities through the smooth execute of duties as well as the protection of the guards' rights. Besides, the key focuses posed in this paper are worthy of being developed more accurately through the following researches.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.694-698
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• 2008

In hydrology, it is a difficult task to deal with multivariate time series such as modeling streamflows of an entire complex river system. Normal distribution based model such as MARMA (Multivariate Autorgressive Moving average) has been a major approach for modeling the multivariate time series. There are some limitations for the normal based models. One of them might be the unfavorable data-transformation forcing that the data follow the normal distribution. Furthermore, the high dimension multivariate model requires the very large parameter matrix. As an alternative, one might be decomposing the multivariate data into independent components and modeling it individually. In 1985, Lins used Principal Component Analysis (PCA). The five scores, the decomposed data from the original data, were taken and were formulated individually. The one of the five scores were modeled with AR-2 while the others are modeled with AR-1 model. From the time series analysis using the scores of the five components, he noted "principal component time series might provide a relatively simple and meaningful alternative to conventional large MARMA models". This study is inspired from the researcher's quote to develop a multivariate simulation model. The multivariate simulation model is suggested here using Principal Component Analysis (PCA) and Independent Component Analysis (ICA). Three modeling step is applied for simulation. (1) PCA is used to decompose the correlated multivariate data into the uncorrelated data while ICA decomposes the data into independent components. Here, the autocorrelation structure of the decomposed data is still dominant, which is inherited from the data of the original domain. (2) Each component is resampled by block bootstrapping or K-nearest neighbor. (3) The resampled components bring back to original domain. From using the suggested approach one might expect that a) the simulated data are different with the historical data, b) no data transformation is required (in case of ICA), c) a complex system can be decomposed into independent component and modeled individually. The model with PCA and ICA are compared with the various statistics such as the basic statistics (mean, standard deviation, skewness, autocorrelation), and reservoir-related statistics, kernel density estimate.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.263-284
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• 2017

The purpose of this research is to analyze the performance of national R&D projects and to find out measures to improve the performance indicators, focusing on energy HRD projects. The main analysis target is 86 energy manpower projects supported since 2010. The performance indicators of the energy HRD projects are related to the research capacity, the number of emission workers, industry-university linkage, job creation and so on, and analyzed by using the 11 indicators of human resource performance index called KPI index. As a result of analyzing the attainment level of the proposed target by task, the index with the highest achievement level is the corporation linkage rate, and the index with the lowest achievement level is the participating company employment. As a result of examining the effects of job creation in company - linked activities, it was found that the greater the number of participating companies in the business, the greater the employment creation effect of the number of internships. As a result of the above analysis, the following policy alternatives are proposed. First, it is necessary to consider adding indicators that can express the quality performance of the business and performance indicators that can express actual business linkages. Second, it is necessary to strengthen the management of differentiated performance indicators according to policy performance targets and major target groups. Third, it is necessary to improve information input and accumulation system along with improvement of performance index.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.367-376
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• 2017

The purpose of this study was to identify the impact of empowerment on achievement in the team based learning by college nursing students and the mediation effects of co-regulation. A convenience sample of 243 subjects were recruited from one university in G city. And data were collected from May 23 to May 30, 2017. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's Correlation, Multiple regression analyses with SPSS 21.0 Program. The psychological empowerment showed a significantly positive correlation of co-regulation and achievement, co-regulation showed a significantly positive correlation of achievement. The factors affecting the achievement were co-regulation, psychological empowerment, improvement on cooperation and modification, grade, and explanatory power was 57.2%. Co-regulation had a partial mediating effect in the relationship between shared psychological empowerment and Achievement. This study provided basic data for developing the nursing education program to improve achievement. and it is necessary to repeat the study including various variables related to achievement of the task in the future.