• Journal of Internet of Things and Convergence
• /
• v.7 no.3
• /
• pp.15-22
• /
• 2021

The purpose of this study is to identify the factors that influence the nursing students' nurse image and professional self-concept on career exploration. This study was accomplished on 153 students in the 2nd, 3rd and 4th grades of the Department of Nursing Science at a college in area Y, and data were collected from July 1 to August 31, 2020 using a structured questionnaire. Measurement tools consisted of nurse image, professional self-concept, and career exploration behavior. Data processing was performed using the SPSS 22.0 program where general characteristics were analyzed by t-test, ANONA and post examination tests by Scheffe's test, using mean score, standard deviation, Pearson's correlation, and stepwise multiple regression. Nursing students' nurse image, professional self-concept, and career exploration behavior were all found to have significant positive correlations, and the most influential variable was professional self-concept. As for the total explanatory power of these variables, model 2 showed 25% explanatory power, which was increased by 2% compared to model 1. Based on this result, it is necessary to develop education and a career exploration action program which can improve the nurse image and professional self-concept.

• Archives of design research
• /
• v.16 no.4
• /
• pp.433-442
• /
• 2003

The concept of pun was basically used to get rhetorical effect in verbal usage and it can be easily applicable to visual communication design. By substituting symbolic images for words of verbal expression, we can draw out some effective communication methods in forms of pun. For years, visual puns have been useful concept to convey a visual message from ancient hieroglyphics to modern arts and design. There are essentially three categories of visual puns. Literal pun upholds the primary meanings of the message literally by picking up a key symbol to create two or more meanings, meanwhile suggestive pun is created when one symbol is used as a key symbol or two or more symbols are combined to created one key symbol that can suggest and strengthen meanings. Comparative pun can be defined two or more symbols of nearly the same appearance are combined or juxtaposed two or more times to enhance overall statement. The concept of visual pun used for traditional area can also be effective ways of new media communication. Thus it is natural to see the concept of visual puns in website. How to handle the images in website is the most critical point for differentiation. But recently, web site designers just seem to focus on somewhat functional aspect. There are certain types of web design formats, and many designers are tend to follow these routines unconsciously. In this situation, the new aspect of visual puns for web design can be a possible design method to fortify the overall message. Through this concept, we can build up some clear identity compared to other web sites and can get alternatives to perform more effective communication ways as a problem-solving process.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.10c
• /
• pp.142-144
• /
• 2002

대부분의 내용기반 이미지 검색 시스템은 이미지의 특징 벡터인 색상, 모양, 그리고 질감에 의해서 유사한 이미지를 검색하는 기법을 제공하고 있다. 최근 이러한 내용기반 이미지 검색 기술은 의료 영상 이미지와 같은 다양한 분야에 적용되고 있으며, 이에 따라서 의료 이미지를 분석하여 저장, 검색하기 위한 데이터베이스 시스템이 증가하고 있다. 그러나, 대량의 이미지로부터 원하는 이미지를 검색하기 위해서는 이미지의 메타데이타를 효율적으로 표현해야 하며, 의미성과 이미지의 특징 데이터를 통합적으로 저장 관리 할 수 있는 이미지 데이터베이스를 설계하고 구축해야만 한다. 본 논문에서는 기존의 내용기반 이미지 검색 기법을 살펴보고. 이미지를 내용기반으로 분류하고 저장할 수 있는 데이터베이스 시스템을 설계하여 효율적인 의미기반 검색을 지원말 수 있는 모델을 제시한다. 다계층 메타데이타 레이어 구조로 이미지에 대한 개념 지식 모델을 표현하고, 이미지내의 객체를 메타데이타로 표현하여 분류할 수 있는 모델을 제안한다. 또한, 이미지 내용검색을 지원하기 위한 시스템 구조를 설계하고, 메타데이타가 저장되기 위한 관계형 모델을 스타 스키마의 형태로 제시한다. 제안된 방법은 의미적인 이미지 내용 검색 방법의 지원에 활용될 수 있다.

• Journal of Intelligence and Information Systems
• /
• v.15 no.2
• /
• pp.1-13
• /
• 2009

Scene classification and concept-based procedures have been the great interest for image categorization applications for large database. Knowing the category to which scene belongs, we can filter out uninterested images when we try to search a specific scene category such as beach, mountain, forest and field from database. In this paper, we propose an adaptive segmentation method for real-world natural scene classification based on a semantic modeling. Semantic modeling stands for the classification of sub-regions into semantic concepts such as grass, water and sky. Our adaptive segmentation method utilizes the edge detection to split an image into sub-regions. Frequency of occurrences of these semantic concepts represents the information of the image and classifies it to the scene categories. K-Nearest Neighbor (k-NN) algorithm is also applied as a classifier. The empirical results demonstrate that the proposed adaptive segmentation method outperforms the Vogel and Schiele's method in terms of accuracy.

• Journal for History of Mathematics
• /
• v.25 no.1
• /
• pp.71-88
• /
• 2012

The purpose of this study is to find the way to build the concept image about natural logarithm and the method is using definite integral in calculus under GeoGebra environment. When the students approach to natural logarithm, need to use dynamic program about the definite integral in calculus. Visible reasoning process through using dynamic program(GeoGebra) is the most important part that make the concept image to students. Also, for understand mathematical concept to students, using GeoGebra environment in dynamic program is not only useful but helpful method of teaching and studying. In this article, about graph of natural logarithm using the definite integral, to explore process of understand and to find special feature under GeoGebra environment. And it was obtained from a survey of undergraduate students of mathmatics. Also, relate to this process, examine an aspect of students, how understand about connection between natural logarithm and the definite integral, definition of natural logarithm and mathematical link of e. As a result, we found that undergraduate students of mathmatics can understand clearly more about the graph of natural logarithm using the definite integral when using GeoGebra environment. Futhermore, in process of handling the dynamic program that provide opportunity that to observe and analysis about process for problem solving and real concept of mathematics.

• Archives of design research
• /
• v.15 no.4
• /
• pp.399-408
• /
• 2002

According to the improvement in quality of life and the progress of user's taste in this modern society, people great deal with the symbolic meaning of product which express user's self-concept(image). Therefore, this kind of information of users' image is needed to deal importantly for the product design development processes, particularly, the early stage of design development such as the concept design development stage. But, there is not much analysis tools which deal qualitative data of users for the design development. From this reason, the supply of information of user's image through the development of verbal analysis method of user's self-concept will help a designer. For this purpose, this study not only developed the twenty-one factors in order to evaluate user's self-concept, but also suggested that the new approach method that can classify user's group within the same characteristic of user's image using the twenty-one developed verbal measurement items with tools of statistical analysis for the design direction of product. The developed this verbal analysis tool was testified through the case study in this research work.

• Archives of design research
• /
• v.12 no.4
• /
• pp.243-250
• /
• 1999

Interior design is depend on combination way of between invisible meaning and visible form, then it has a several meaning by that. The meaning of interior space is a invisible concept which is shown by a form and it is mainly recognized by a image. The purpose of this study is to explore that characters of image in communication process, typical aspect and structural aspect have been shown in interior design. On this study, I try to study space analysis about commercial space to explore character of spatial image through theoretical approach. In a result, the image of interior space is made by deep representation as a designer's basic concept and is delivered by conversion of various codes. Therefore, the image of interior space is not a additional concept which is made by natural factor of space, it is a design concept which must be dealt with space planning.

• Journal of the Korean School Mathematics Society
• /
• v.8 no.2
• /
• pp.203-222
• /
• 2005

The purpose of this study is to investigate students' understanding of functions based on concept image and concept definition suggested by Vinner, For the study a graphing calculator was provided as a tool for students to use for their exploration. Three students participated in the study using the qualitative research method to identify their processes of understanding functions. The student with previous experiences of the functions had various concept images about the functions and did not have many opportunities to modify their images because the student did not want to depend on the calculator. However, the student who did not have many chances to study about the functions before used the calculator effectively for developing the concept definition on the functions. The calculator played an important role in connecting different representations and finding relationships between these representations supported by dynamic exploration.

• Journal of Distribution Research
• /
• v.9 no.2
• /
• pp.101-122
• /
• 2004

In this study, two alternative models are developed and tested in order to investigate the relationship between retailer image and its private brand attitude. The halo effect model hypothesizes that retailer image is related as a halo in private brand evaluation and the summary construct model hypothesizes that retailer image functions as a summary construct of private brand evaluation. The results indicate there are moderating effects of 1) familiarity with a private brand and 2) the characteristics of a product category High familiarity is related with the summary construct model and low familiarity the halo effect model. In private brand food, the summary construct model fits better and explains more adequately that private brand evaluation influences retailer image as a summary construct. In private brand clothes, however, the halo effect model performs better in explaining the relationship between retailer image and private brand attitude.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11a
• /
• pp.81-84
• /
• 2002

멀티미디어 분야가 급성장하면서 좀더 효율적으로 멀티미디어 자료의 저장, 처리, 검색을 위한 연구가 진행되고 있다. 특히, 내용기반 시각정보 검색에 있어 지능형 시스템(Intelligent System)을 접목하여 의미적 접근을 시도하는 I-CBIR(Intelligent-Content Based Image Retrieval)에 관한 연구가 진행되고 있다. 또한, 내용기반 이미지검색 시스템에 온톨로지(Ontology)의 이론을 적용하여 이미지에 의미를 부여하여 개념적 검색이 가능하도록 노력하고 있다. 이러한 연구에서 적용된 대형의 온톨로지는 이미지 검색 시스템에 적합하지 않게 너무 방대한 정보를 가지고 있으며, 또한 시대적 변화에 대응하지 못하여 I-CBIR 시스템에서 그 효율성을 제대로 발휘하지 못하고 있다. 따라서 본 논문에서는 많은 대형 온톨로지 중에서 WordNet을 선택하여, WordNet의 구축 방법에 기반한 자동차(Car)에 대한 도메인 온톨로지(Domain Ontology)를 구축해보고, 구축된 도메인 온톨로지를 적용함으로써 더 향상된 I-CBIR 시스템이 되도록 하였다.