• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.696-702
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• 2021

Informatization of early childhood education in the EU occurs in the context of the use of ICT as a means of sharing experiences, practices in the education and training of preschool children, communication, both at the national level and locally - within educational institutions, as a means of document management, search, data processing and information for the management of early childhood educational institutions, and planning activities for these institutions. This article aims to identify the features of the informatization of early childhood education in EU countries. Results. The countries of the EU have different levels of workload on the staff of early childhood education institutions, which is caused by different numbers of preschoolers and workforce. The greatest load on the staff in France due to a large number of preschoolers, which, despite the reduction, remained the highest among all the countries. By comparison, Poland's significant workload is mitigated by the size of its workforce. With almost equal numbers of staff in Poland and Germany, the countries differ significantly in the number of preschoolers. The countries also have different funding mechanisms for early childhood education, which determines the potential for digitalization. In France, total spending on early childhood education has grown the least (by 11 % between 2012 and 2018), in Poland by 51 %, in the Czech Republic by 44 %, and in Germany by 49%. In France, 100 % is funded by the government, in Poland 78 % is funded by the government, in the Czech Republic and Germany 87 % and 85 % respectively is funded by the government. The results of the survey of teachers' training in the use of ICTs and the level of specialists' readiness to use them in their studies indicate a mismatch between education and the practice of using technology. At the same time, given the high level of professional training of teachers in the use of technology in education, a low level of practice of ICT use in teaching preschool children was revealed. Teachers require professional development of ICT skills.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.177-177
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• 2023

The impacts of dams on transboundary flow are complex and challenging to project and manage, given the potential moderating influence of a broad range of anthropogenic and natural factors. This study presents a global meta-analysis of 168 studies that examines the effect magnitude of dams on downstream seasonal, annual flow, and hydrological extremes risk on 39 hotspot transboundary river basins. The study also evaluates the impact of 13 factors, such as climate, basin characteristics, dams' design and types, level of transboundary cooperation, and socioeconomic indicators, on the heterogeneity of outcomes. The findings reveal that moderators significantly influence the impact of dams on downstream flow, leading to considerable heterogeneity in outcomes. Transboundary cooperation emerges as the key factor that determines the severity of dams' effect on both dry and wet season's flows at a significance level of 0.01 to 0.05, respectively. Specifically, the presence of water-supply and irrigation dams has a significant (0.01) moderating effect on dry-season flow across basins with high transboundary cooperation. In contrast, for wet-season flow, the basin's vulnerability to climate extremes is associated with a large negative effect size. The various moderators have varying degrees of influence on the heterogeneity of outcomes, with the aridity index, population density, GDP, and risk level of hydro-political tension being the most significant factors for dry-season flow, and the risk level of hydro-political tension and basin vulnerability to climate extremes being the most significant for wet-season flow. The results suggest that transboundary cooperation is crucial for managing the impacts of dams on downstream flow, and that various other factors, such as climate, basin characteristics, and socioeconomic indicators, have significant moderating effects on the outcomes. Thus, context-specific approaches are necessary when predicting and managing the impacts of dams on transboundary flow.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.938-958
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• 2024

Unsupervised Video Object Segmentation (UVOS) is a highly challenging problem in computer vision as the annotation of the target object in the testing video is unknown at all. The main difficulty is to effectively handle the complicated and changeable motion state of the target object and the confusion of similar background objects in video sequence. In this paper, we propose a novel deep Dual-stream Co-enhanced Network (DC-Net) for UVOS via bidirectional motion cues refinement and multi-level feature aggregation, which can fully take advantage of motion cues and effectively integrate different level features to produce high-quality segmentation mask. DC-Net is a dual-stream architecture where the two streams are co-enhanced by each other. One is a motion stream with a Motion-cues Refine Module (MRM), which learns from bidirectional optical flow images and produces fine-grained and complete distinctive motion saliency map, and the other is an appearance stream with a Multi-level Feature Aggregation Module (MFAM) and a Context Attention Module (CAM) which are designed to integrate the different level features effectively. Specifically, the motion saliency map obtained by the motion stream is fused with each stage of the decoder in the appearance stream to improve the segmentation, and in turn the segmentation loss in the appearance stream feeds back into the motion stream to enhance the motion refinement. Experimental results on three datasets (Davis2016, VideoSD, SegTrack-v2) demonstrate that DC-Net has achieved comparable results with some state-of-the-art methods.

• Journal of Science Education
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• v.46 no.1
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• pp.17-29
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• 2022

The purpose of this study is to look qualitatively into how efficiently and reasonably a computer can learn themes related to the Nature of Science (NOS). In this regard, a corpus has been constructed focusing on literature (920 abstracts) related to NOS, and factors of the optimized Word2Vec (CBOW, Skip-gram) were confirmed. According to the four dimensions (Inquiry, Thinking, Knowledge and STS) of NOS, the comparative evaluation on the word-level word embedding was conducted. As a result of the study, according to the previous studies and the pre-evaluation on performance, the CBOW model was determined to be 200 for the dimension, five for the number of threads, ten for the minimum frequency, 100 for the number of repetition and one for the context range. And the Skip-gram model was determined to be 200 for the number of dimension, five for the number of threads, ten for the minimum frequency, 200 for the number of repetition and three for the context range. The Skip-gram had better performance in the dimension of Inquiry in terms of types of words with high similarity by model, which was checked by applying it to the four dimensions of NOS. In the dimensions of Thinking and Knowledge, there was no difference in the embedding performance of both models, but in case of words with high similarity for each model, they are sharing the name of a reciprocal domain so it seems that it is required to apply other models additionally in order to learn properly. It was evaluated that the dimension of STS also had the embedding performance that was not sufficient to look into comprehensive STS elements, while listing words related to solution of problems excessively. It is expected that overall implications on models available for science education and utilization of artificial intelligence could be given by making a computer learn themes related to NOS through this study.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.3
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• pp.312-320
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• 1998

The purposes of this study were 1) to extend the gestalt theory in an attempt to explain the effect of garment clues(formality, color) perceiver's gender, and contexts on impression formation of a male high school teacher, and 2) to found out high school students' attitude toward their teacher's school outfits. The experimental design was a quasi-experimental with full factorial design of 4 independent variables : 3(formality levels)x2(garment colors)x2(perceiver's gender)x2(con- texts) The experimental materials developed for the study were a set of stimuli and response scale. The stimuli consisted of 12 color photographs produced by CAD system and response scale constituted of 28 bipolar adjectives representing personal traits. In addition to the qualitative research was also performed. The subjects composed of 277 male and 291 female high school students' in Taejeon city and research was a between subject design. The data was analysed by factor analysis, ANOVA, Duncan's multiple range test. The major findings drawn from this study were as follows: 1. The perceivers impression were consisted of 4 major dimensions; evaluation, sociability, attractiveness, potency. 2. All the independent variables showed some significant impression effects on selected dimensions. Garment color indicate the most significant effects among the 4 independent variables and garment formality showed least effects. 3. The subjects of the study preferred suits(highest formality level garment) to semi-formal or casual outfits for male teacher's school outfits. In conclusion, 4 independent variables affected differently 4 major impression dimensions and garment formality and contexts showed significant interaction effect, this results supported the gestalt theory of impression formation.

• 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.

• KIISE Transactions on Computing Practices
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• v.22 no.10
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• pp.479-487
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• 2016

People can listen to almost every type of music by music streaming services without possessing music. Ironically it is difficult to choose what to listen to. A music recommendation system helps people in making a choice. However, existing recommendation systems have high computation complexity and do not consider context information. Emotion is one of the most important context information of music. Lyrics can be easily computed with various language processing techniques and can even be used to extract emotion of music from itself. We suggest a music-level similarity evaluation method using emotion and structure. Our result shows that it is important to consider semantic information when we evaluate similarity of music.

• Korean Journal of Cognitive Science
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• v.26 no.3
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• pp.279-300
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• 2015

Present research was carried out on the level of exploration to verify that good luck increases probabilistic framing effect but bad luck decrease the effect. And we organized an experiment that designed experience of luck (good luck vs. bad luck vs. control) ${\times}$ probabilistic frame (high vs. low) and observed whether people response based on probabilistic frame or not. As a result, we observed the two-way interaction where experience of good luck increased probabilistic framing effect, while experience of bad luck decreased the effect (Figure 1). We expect to see more studies of contextual framing effect besides probabilistic frame (e.g., positive vs. negative; loss related to context vs. loss irrelevant to context).

• Health Policy and Management
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• v.28 no.1
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• pp.35-47
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• 2018

Background: The purpose of this study is to elucidate the context of medical experience and the perception of unmet healthcare of elderly people with chronic diseases based on in-depth interview data. Methods: We carried out in-depth interviews with 10 elderly people with chronic diseases using semi-structured questionnaires based on literature review. The in-depth interview data were analyzed using thematic analysis; one qualitative research methodology, three core meaning categories, and four attributes associated with unmet healthcare were ultimately derived. Results: The context of the medical experience were based on the following three categories: (1) discomfort due to diseases and high medical needs, (2) the poor community medical environment and difficulties in accessing to metropolitan medical institutions, and (3) inconvenience caused by long waiting time and side effects of medicine. In addition, the elderly with chronic disease realized the unmet healthcare as (1) the availability related to the desired medical institutions at the right time, (2) the affordability related to their economic capacity, (3) the effectiveness of the medical services they experienced, and (4) the appropriateness related to receiving medical services in a pleasant environment. Conclusion: The perception of unmet healthcare among the elderly with chronic disease is the result of interaction of multi-level and multi-dimensional factors related with their medical experience.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.9-16
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• 2009

According to the construction of infrastructure for the water resource management services, the importance of the eco-friendly reservoir tank management is being spotlighted. In this paper, we proposed the eco-friendly reservoir tank management using prediction for improving the water quality and on-line managing efforts of reservoir tanks. The proposed method defined the context and environment of the reservoir tank and predicted the profited service according to the pump motion, the solar battery, the chemicals, the water level, the telephone line, and the modem using collaborative filtering. To evaluate the performance of the eco-friendly reservoir tank management system using prediction, we conducted sample T-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction. Accordingly, the satisfaction and the quality of services will be improved the efficient prediction by supporting the context information as well as the environment information.