• Journal of The Korean Association of Information Education
• /
• 제20권6호
• /
• pp.563-574
• /
• 2016

This paper is a research on the curriculums of network and digital creation tools among SW education in order to apply them to SW curriculum in education fields. For doing so, a curriculum model was developed by extracting main key words through the analyses of domestic and foreign SW curriculum, and reorganization of concept understanding and learning activity elements was made so as to be fit to characteristics of each curriculum. And curriculums were remodeled by curriculum such like concept understanding was focussed in network, activities in digital creation tools and its validity was suggested through expert verification by composing contents elements based on the results. Also, this model was proposed so that each school could recompose it easily by combining contents elements of other curriculums. Therefore, the suggested model could be utilized as a basic research data in applying domestic SW curriculum standard model.

• Journal of Educational Research in Mathematics
• /
• 제20권3호
• /
• pp.323-338
• /
• 2010

In this study we analyzed the teaching units for the area of geometrical figures by the same method in the previous research of Kang, Wan and Kim, Nam Jun in 2010, where they extracted the teaching units based on the mathematics curriculum based on the theory of Wittmann (1984). Teaching units are a systematic organization of the essential contents for mathematics education according to 4 elements, objectives, data, functions, and backgrounds. In this study, the features and titles of the teaching units, extracted from the area of geometrical figures in revised mathematics curriculums in 2007, are analyzed and categorized as accepting of concept type, application of concept type, and acquiring of relation type. Their meanings for education are investigated, in addition, the way of their practical application to research of education for the area of geometrical figures. The teaching units are a model consistently compensated and evolved rather than fixed. It will be an important material for establishing new educational courses if the teaching units are more systematically studied by mathematics researchers and teachers in educational fields.

• Hwankyungkyoyuk
• /
• 제20권4호
• /
• pp.12-26
• /
• 2007

The purpose of this research is to develop a water environmental education (EE) program using streams, based on the core ideas of ENVISION and materializing elements that were extracted in this research. This research realized the elements and presented a model of the water EE program using a local stream. First, this research developed a basic model of a water EE program using streams by extracting 10 materializing elements and realizing the elements in 4 stage-procedural model. The 10 materializing elements were 1. experiencing the process of inquiry, 2. inquiring local environments, 3. self-directing learning and mutual interaction with colleagues, 4. collecting real data and interpreting, 5. utilizing the ICT(information and communication technology), 6. inquiring with the view point of the 'Environmental Studies for EE', 7. inquiring with the watershed concept, 8. inquiring with the integrating and the holistic view point, 9. pursuing the macroscopic understanding about environment, and 10. connecting the real world phenomena with the environmental concepts and theories. This research materialized these 10 elements in 4 stage model, following the previous ENVISION research, which are 1. preparing stage and visual assessment, 2. writing the report of the inquiry plan, 3. collecting the real data in the environment and performing the investigation, and 4. presenting the inquiry results. Second, with using this basic model, this research developed and presented a model of the specific water EE program using a case stream called 'Baig Cheon' stream, which is a local stream. This research is considered to have a considerable meaning in developing a EE program with ENVISION ideas for the watershed concept and inquiry with environmental science using local streams. The developed model can help the professional development of teachers and teacher education of water EE.

• Journal of Digital Convergence
• /
• 제15권9호
• /
• pp.479-486
• /
• 2017

The purpose of this study is to analyze the preference and value of consumers through the package design of cosmetics with the concept of cause branding, and to propose a package design that can satisfy consumers' needs. I have recruited an experimental group that emphasizes the importance of package design in purchasing cosmetics. And Survey and in-depth interviews were conducted by comparing cause brand's product with general brand's product. In the first experiment, the items were classified into cognitive, emotional, and behavioral responses and a total of 31 subjects were surveyed. In the second experiment, six interviewees were interviewed through a questionnaire prepared by extracting 4 items from Sheth 's consumption value standard. As a result of the experiment, consumers preferred a design that can quickly and accurately grasp the information of the product. Especially, it is not easy to know whether it is a cause brand's product. So It should be stated in the package how it will be socially beneficial.

• Journal of IKEEE
• /
• 제26권2호
• /
• pp.226-231
• /
• 2022

The concept of information entropy has been widely applied in various fields. Recently, in the field of image processing, many technologies applying the concept of information entropy have been developed. As the importance and demand of computer vision technologies increase in modern industry, real-time processing must be possible in order for image processing technologies to be efficiently applied to modern industries. Extracting the entropy value of an image is difficult to process in real-time due to the complexity of computation in software, and a hardware structure of an image entropy filter capable of real-time processing has never been proposed. In this paper, we propose for the first time a hardware structure of a histogram-based entropy filter that can be processed in real time using a barrel shifter. The proposed hardware was designed using Verilog HDL, and Xilinx's xczu7ev-2ffvc1156 was set as the target device and FPGA was implemented. As a result of logic synthesis using the Xilinx Vivado program, it has a maximum operating frequency of 750.751 MHz in a 4K UHD high-resolution environment, and it processes more than 30 images per second and satisfies the real-time processing standard.

• International conference on construction engineering and project management
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.877-885
• /
• 2022

Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

• The Transactions of the Korea Information Processing Society
• /
• 제5권12호
• /
• pp.3025-3035
• /
• 1998

In this paper, we describe the design and implementationof COIRS COncept,based Image Retricval System). It differs from extant content-based image retrieval systems in that it enables users to query based on concepts- it allows users to get images concepmally relevant. A concept is basically an aggregation of promitive objects in an image. For such a cencept based image retrieval functionality. COIRS aglopts an image descriptor called triple and includes a triple thesaurus used for capturing concepts. There are four facilities in COIRS: a visual image indeses a triple thesaurus, an inverted fiel, and a user query interface. The visnal image indeser facilitates object laeling and the percification of positionof objects. It is an assistant tool designed to minimize manual work when indexing images. The thesarrus captires the concepts by analyzing triples, thereby extracting image semantics. The triples are then for formalating queries as well as indexing images. The user query interiare enables users to formulate...

• Korean Institute of Interior Design Journal
• /
• 제25권1호
• /
• pp.181-191
• /
• 2016

The purpose of this study is to analyze affordance of façade design by extracting analysis elements of affordance in façade design domestic five-star hotels. The subjects of this study were 88 domestic five-star hotels; we selected literature review and case study as methodology. The analysis elements included mass forms, exterior colors, window frame patterns, exterior characteristics, and door types based on the visual perception factors of façade design from the concept of affordance. The results of the study were as follows. First, the mass forms were divided into stackable, integral, and connection types, and stackable type was most frequent. Second, exterior colors were divided into achromatic, red, yellow, and opaque color parts, and the achromatic parts were most frequent. Third, the window frame patterns were divided into grid, irregular, full, horizontal, and vertical windows, and grid windows were most frequent. Fourth, the exterior characteristics were divided into formative mass, horizontal partition, design contrast, tiled roof, and facility connection, and the formative mass was most frequent. Fifth, the door types were divided into porch, piloti, and wall type, and porch was most frequent. The results of this study showed that the façade design elements such as mass forms, exterior colors, window frame patterns, exterior characteristics, and door types intentionally contained affordance.

• Genomics & Informatics
• /
• 제18권2호
• /
• pp.17.1-17.4
• /
• 2020

The amount of content on social media platforms such as Twitter is expanding rapidly. Simultaneously, the lack of patient information seriously hinders the diagnosis and treatment of rare/intractable diseases. However, these patient communities are especially active on social media. Data from social media could serve as a source of patient-centric knowledge for these diseases complementary to the information collected in clinical settings and patient registries, and may also have potential for research use. To explore this question, we attempted to extract patient-centric knowledge from social media as a task for the 3-day Biomedical Linked Annotation Hackathon 6 (BLAH6). We selected amyotrophic lateral sclerosis and multiple sclerosis as use cases of rare and intractable diseases, respectively, and we extracted patient histories related to these health conditions from Twitter. Four diagnosed patients for each disease were selected. From the user timelines of these eight patients, we extracted tweets that might be related to health conditions. Based on our experiment, we show that our approach has considerable potential, although we identified problems that should be addressed in future attempts to mine information about rare/intractable diseases from Twitter.

• Transactions of the Korean Society of Mechanical Engineers
• /
• 제16권1호
• /
• pp.31-40
• /
• 1992

This paper presents an automatic feature recognition system for recognizing and extracting feature information needed for the process planning input from a 3D CAD system. A given part is modeled by using the AutoCAD and feature information is automatically extracted from the AutoCAD database. The type of parts considered in this study is prismatic parts composed of faces perpendicular to the X, Y, Z axes and the types of features recognized by the proposed system are through steps, blind steps, through slots, blind slots, and pockets. Features are recognized by using the concept of convex points and concave points. Case studies are implemented to evaluate feasibilities of the function of the proposed system. The developed system is programmed by using Turbo Pascal on the IBM PC/AT on which the AutoCAD and the proposed system are implemented.