• Korean Journal of Remote Sensing
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• v.39 no.6_3
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• pp.1679-1692
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• 2023

South Korea is a country that emits a large amount of pollutants as a result of population growth and industrial development and is also severely affected by transboundary air pollution due to its geographical location. As pollutants from both domestic and foreign sources contribute to air pollution in Korea, the location of air pollutant emission sources is crucial for understanding the movement and distribution of pollutants in the atmosphere and establishing national-level air pollution management and response strategies. Based on this background, this study aims to effectively acquire spatial information on domestic and international air pollutant emission sources, which is essential for analyzing air pollution status, by utilizing high-resolution optical satellite images and deep learning-based image segmentation models. In particular, industrial parks and quarries, which have been evaluated as contributing significantly to transboundary air pollution, were selected as the main research subjects, and images of these areas from multi-purpose satellites 3 and 3A were collected, preprocessed, and converted into input and label data for model training. As a result of training the U-Net model using this data, the overall accuracy of 0.8484 and mean Intersection over Union (mIoU) of 0.6490 were achieved, and the predicted maps showed significant results in extracting object boundaries more accurately than the label data created by course annotations.

• Journal of the Korean Society for information Management
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• v.41 no.3
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• pp.205-247
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• 2024

The purpose of this study is to investigate how information use behavior and satisfaction appear by personality type for liberal arts learning among college students, and to propose a customized information service plan that can help college students study in university libraries. To this end, a survey was conducted on 169 university students enrolled in C University. The analysis consisted of demographic characteristics, MBTI personality type, information use behavior, satisfaction, and university library service perception survey. Frequency analysis, cross-analysis, multinomial logistic regression, one-way ANOVA, and hierarchical regression analysis were performed on the collected data using the SPSS 29 statistical program. As a result of the study, first, significant results were found in 'preferred information sources', 'information source consideration factors', and 'information collection patterns' according to personality type. Second, there were statistically significant differences in satisfaction according to personality type in 'system utilization ability', 'data selection ability', and 'the degree of recognition of the usefulness of learning activities'. Third, in the relationship between preferred information sources and satisfaction based on personality types and information use behaviors, there appears to be an inverse relationship when the content includes various topics with a lack of academic depth or expertise. However, the preference for 'social media' is positively correlated with 'satisfaction with search results,' as it provides diverse perspectives and viewpoints in liberal education

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.202-205
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• 2005

Cell phenotypes are determined by the concerted activity of thousands of genes and their products. This activity is coordinated by a complex network that regulates the expression of genes. Understanding this organization is crucial to elucidate cellular activities, and many researches have tried to construct gene regulatory networks from mRNA expression data which are nowadays the most available and have a lot of information for cellular processes. Several computational tools, such as Boolean network, Qualitative network, Bayesian network, and so on, have been applied to infer these networks. Among them, Bayesian networks that we chose as the inference tool have been often used in this field recently due to their well-established theoretical foundation and statistical robustness. However, the relative insufficiency of experiments with respect to the number of genes leads to many false positive inferences. To alleviate this problem, we had developed the algorithm of MONET(MOdularized NETwork learning), which is a new method for inferring modularized gene networks by utilizing two complementary sources of information: biological annotations and gene expression. Afterward, we have packaged and improved MONET by combining dispersed functional blocks, extending species which can be inputted in this system, reducing the time complexities by improving algorithms, and simplifying input/output formats and parameters so that it can be utilized in actual fields. In this paper, we present the architecture of MONET system that we have improved.

• Computers and Concrete
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• v.12 no.2
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• pp.187-209
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• 2013

This paper presents a study on the prediction of transfer length of 13 mm seven-wire prestressing steel strand in pretensioned prestressed concrete members with rectangular cross-section including several material properties and design and manufacture parameters. To this end, a carefully selected database consisting of 207 different cases coming from 18 different sources spanning a variety of practical transfer length prediction situations was compiled. 16 single input features and 5 combined input features are analyzed. A widely used feedforward neural regression model was considered as a representative of several machine learning methods that have already been used in the engineering field. Classical multiple linear regression was also considered in order to comparatively assess performance and robustness in this context. The results show that the implemented model has good prediction and generalization capacity when it is used on large input data sets of practical interest from the engineering point of view. In particular, a neural model is proposed -using only 4 hidden units and 10 input variables-which significantly reduces in 30% and 60% the errors in transfer length prediction when using standard linear regression or fixed formulas, respectively.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.112-122
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• 2020

In 3D computer graphics, a depth map is an image that provides information related to the distance from the viewpoint to the subject's surface. Stereo sensors, depth cameras, and imaging systems using an active illumination system and a time-resolved detector can perform accurate depth measurements with their own light sources. The 3D image information obtained through the depth map is useful in 3D modeling, autonomous vehicle navigation, object recognition and remote gesture detection, resolution-enhanced medical images, aviation and defense technology, and robotics. In addition, the depth map information is important data used for extracting and restoring multi-view images, and extracting phase information required for digital hologram synthesis. This study is oriented toward a recent research trend in deep learning-based 3D data analysis methods and depth map information extraction technology using a convolutional neural network. Further, the study focuses on 3D image processing technology related to digital hologram and multi-view image extraction/reconstruction, which are becoming more popular as the computing power of hardware rapidly increases.

• Proceedings of the Technology Innovation Conference
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• 1998.06a
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• pp.57-90
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• 1998

This study attempts to explore the evolution paths of Korean SMEs'strategies and their technological teaming processes. Several different evolution paths are identified based on a dynamic strategic group analysis of 115 SMEs'strategy in the Korean electronic component industry for the period of 1990-1995. Further, inadept case analyses on technological learning processes in 5 firms are undertaken. Major findings of this study can be summarized as follows : 1) There are three dominant evolution paths in SMEs'strategy. First path indicates the evolution from a subcontractor or petty imitator group(a strategic group with the narrow product/market domain and the low level of accumulated resource/capabilities) into an innovator group(a strategic group with the narrow domain but high level of technological capability) by accumulating technological capabilities. Second, some firms move from a subcontractor group into a generalizer group(a strategic group with broad product/market domain but relatively low level of technological capability) by simply adding product lines. Third path involves firms which evolve from a subcontractor group into a production focus group(a strategic group with high level of production capability) by investing in production capabilities. 2) An in-depth case analysis shows those who succeeded in technological learning are managed by CEOs, who have technological expertise and strategic vision, and have made an effort to establish management practices to support innovation, such employee educational program, performance-based reward system, etc. The successful firms also aggressively pursue diverse external linkages with outside technology sources to learn product and process technologies. Fiendly, this study discusses several implications of the findings for the theoretical development and strategic management of small firms in Korea.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.4
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• pp.82-90
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• 2009

Pneumatic cylinder is one of the low cost actuation sources which have been applied in industrial and prosthetic application since it has a high power/weight ratio, a high-tension force and a long durability However, the control problems of pneumatic systems, oscillatory motion and compliance, have prevented their widespread use in advanced robotics. To overcome these shortcomings, a number of newer pneumatic actuators have been developed such as McKibben Muscle, Rubber Actuator and Pneumatic Artificial Muscle (PAM) Manipulators. In this paper, one solution for position control of a robot arm, which is driven by two pneumatic artificial muscles, is presented. However, some limitations still exist, such as a deterioration of the performance of transient response due to the changes in the external load of the robot arm. To overcome this problem, a switching algorithm of the control parameter using a learning vector quantization neural network (LVQNN) is proposed in this paper. This estimates the external load of the pneumatic artificial muscle manipulator. The effectiveness of the proposed control algorithm is demonstrated through experiments with different external working loads.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.135-141
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• 2017

Exposed to a great many media and technology resources, EFL students seem to lack the motivations for learning on the basis of the conventional teaching methods. For this reason, in teaching English, finding teaching methods and materials appropriate to make the learning experiences for EFL students more engaging and interesting has become more challenging than ever. This is the main reason why English language teachers always keep searching for more motivating teaching sources. Although most of course books have CD's and DVD enclosed, these turn out to be less authentic and not very engaging for students. In order to bring diversity into the classroom, many teachers use films in EFL teaching. Films are usually seen as a media that attracts students' attention and tend to present language in a more natural (interactive) way as well. What is more important is that films offer a visual context aids which help students understand and improve their reading skills. This paper analyzes the effects of using films in the EFL classroom. Moreover, It shows that films as a teaching resource play a very effective role in developing students reading and communication skill. Last but not least, mobile phones are used as a main supplementary device in that either group is recommended to watch a movie anytime and anywhere.

• Human Ecology Research
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• v.56 no.3
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• pp.263-282
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• 2018

This study is used to understand the characteristics of home economics teachers that could to help develop personal development in home economics teacher and home economics education. The questionnaire survey was conducted on 150 home economics teachers who belong to either the home economics teachers' study association or Korean home economics education essociation. The survey was processed with frequency analysis, standard deviations, factor analysis, independent sample t-test, and reliability analysis using SPSS 12.0 depending on the contents of the research. The study results are as follows. First, for home economics teachers' conscious teaching, they build their own identities as experts, and have a vocation and sense of duty for their job. The culture of research and investigation community to study education and to maintain collaborative relationships with teachers of home economics teachers' associations has evolved. Second, home economics teachers have the ability to analyze and manage students' demands in order to perform teaching activities, and understand individual student characteristics. They understand new study trends and curriculum, develop sources for class, use appropriate teaching and learning theories, and create students' reflective activities. In addition, they grow their learning ability as specialist and study in self-oriented ways.

• Cross-Cultural Studies
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• v.31
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• pp.415-438
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• 2013

This paper explores how to teach Chinese, using multi-media resources such as Chinese dramas and focusing on one of Jin Yong's dramas, The Return of the Condor Heroes. The purpose of this study is to develop teaching methodologies for university students learning Chinese through drama to integrate language skills: enhancing communicative competence and understanding Chinese cultures. First, the overview of previous studies provides several cases of foreign language education using drama. Teaching Chinese through drama can be an integrative education because students can develop their communicative competence as well as understand the cultures of the target language. In other words, the contexts of drama may offer rich sources of the history of China, Han Chinese ethnocentrism, and knowledge of Chinese literature as well as geography. Second, this study applies the principles of Tomlinson (2010) for materials development in language teaching into the case of Chinese drama. It concentrates on Jin Yong's The Return of the Condor Heroes that the author has used in the Chinese language courses for three years. It examines the characteristics of the drama for developing effective ways of teaching and learning Chinese language and culture. Furthermore, it discusses the impact of using drama on changes in students' pervasive perceptions about unnecessity of Chinese classical literature. Third, this paper presents some sample lessons which may help teachers to develop understanding of how to organize lessons through drama. Finally, it illustrates university students' opinions about using drama to learn Chinese.