• Journal of the Daesoon Academy of Sciences
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• v.16
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• pp.131-149
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• 2003

The religious doctrine of the Daesunjinlihoe is composed of a next's 4 kinds. The first item is the object of worship. This is the starting point to understand one religion. The second is the main thesis. This is the intellectual expression of original religious experience of the founder of religion. The third is the creed. This regulates a faith practice of the association, being the faith confession. The fourth item is the purpose. The purpose is the ultimate state which the religion association intends to. This has the value as worldwide idea, including the personality completion of the individual. There are three kind feature of religious doctrine in Daesunjinlihoe. They are as follows. The first thing is the intellectual expression of the religious experience and it is the original of the founder. The second is the critical succession and transfiguration of traditional thought. The third is that it displays a future-oriented and new thought.

• Korea Trade Review
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• v.45 no.4
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• pp.95-105
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• 2020

Vietnam has experienced a high economic growth since early 2000s. One of the reasons for this successful economic growth is foreign direct investment that has been invested mainly in manufacturer sector in Vietnam. In this paper, we examine the impacts of foreign direct investment to Vietnam on its exports using quarterly data from 2000:1 to 2017:4. Since all the variables in our model is subject to I(1), we apply Fully Modified OLS(FMOLS) to estimate a cointegration vectors. Our results show that there exists a long-run relationship among Export, FDI, Exchange rate and G20 countries' GDP. Also, we find that FDI has a positive effect on Vietnam's export, which was statistically significant. Our results support the hypothesis that the FDI to Vietnam since 2000 has an export-oriented feature.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.129-134
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• 2024

Object Detection is an emerging technology in the field of Computer Vision and Image Processing that deals with detecting objects of a particular class in digital images. It has considered being one of the complicated and challenging tasks in computer vision. Earlier several machine learning-based approaches like SIFT (Scale-invariant feature transform) and HOG (Histogram of oriented gradients) are widely used to classify objects in an image. These approaches use the Support vector machine for classification. The biggest challenges with these approaches are that they are computationally intensive for use in real-time applications, and these methods do not work well with massive datasets. To overcome these challenges, we implemented a Deep Learning based approach Convolutional Neural Network (CNN) in this paper. The Proposed approach provides accurate results in detecting objects in an image by the area of object highlighted in a Bounding Box along with its accuracy.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.79-89
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• 2022

Images taken using drones have been applied to fields that require rapid decision-making as they can quickly construct high-quality 3D spatial information for small regions. To construct spatial information based on drone images, it is necessary to determine the relationship between images by extracting keypoints between adjacent drone images and performing image matching. Therefore, in this study, three study regions photographed using a drone were selected: a region where parking lots and a lake coexisted, a downtown region with buildings, and a field region of natural terrain, and the performance of AKAZE (Accelerated-KAZE), BRISK (Binary Robust Invariant Scalable Keypoints), KAZE, ORB (Oriented FAST and Rotated BRIEF), SIFT (Scale Invariant Feature Transform), and SURF (Speeded Up Robust Features) algorithms were analyzed. The performance of the keypoints extraction algorithms was compared with the distribution of extracted keypoints, distribution of matched points, processing time, and matching accuracy. In the region where the parking lot and lake coexist, the processing speed of the BRISK algorithm was fast, and the SURF algorithm showed excellent performance in the distribution of keypoints and matched points and matching accuracy. In the downtown region with buildings, the processing speed of the AKAZE algorithm was fast and the SURF algorithm showed excellent performance in the distribution of keypoints and matched points and matching accuracy. In the field region of natural terrain, the keypoints and matched points of the SURF algorithm were evenly distributed throughout the image taken by drone, but the AKAZE algorithm showed the highest matching accuracy and processing speed.

• Korean Institute of Interior Design Journal
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• v.22 no.6
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• pp.190-198
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• 2013

With globalization and the execution of a self-governing system, the government-oriented system has been transformed into a city-oriented system. The importance of the competitive power of a city is thus increasing. Because of this each region is trying to develop its own differentiated image and to create branding using unique historical and cultural resources and, as one of the strategies for this, public spaces have been developed. For a public space to be used as a means to promote the attractiveness of a city, creates a local image and works as a medium to help a community of people realize a pleasant life. Therefore, in this study, I am clarified theoretically the meaning of placeness and form factors. and study realization methods in the space around the public space case. The results of the study are as following. In the modern space, Place is to be understood as a recognition and experience. Therefore rather than spatial structure physical fixed, recognition through the human experience is an important feature of the place-making, it is necessary to access in spatial planning based on this point of view. The factors of the placeness formation are physical environment factors, activity elements of the human, the meaning factors. and these elements form the placeness through via interaction. Therefore, even space implementation of the place, it is necessary to grasp the elements of each, as well as the physical aspects in particular, planning programmatic and various functions must be parallel strategically. There is a need to implement a space device that can be carried out in space activities.

• The Research Journal of the Costume Culture
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• v.19 no.2
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• pp.430-448
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• 2011

This study analyzes the stereotyped femininity with a focus on body codes, which has been continuously expressed in fashion illustrations from the late $19^{th}$ century to the year 2010, and examines the changes in its meaning. Stereotyped femininity was reorganized by the changes in female sex role effected by social changes, as well as by the body discourse and feminism in the late $20^{th}$ century, These socio-cultural backgrounds led to the change in the meaning of stereotyped women expressed in fashion illustrations. The stereotyped women in fashion illustrations are characterized by gender-oriented body, and the typical image of women was reproduced with the marks of poses and looks that feature passiveness and subordination. Then, the gender-oriented body since 1990's shifted to active meaning that positively revealed sexual desire. The space positioned by women is also the symbol of gender. In line with changes over time, the backgrounds in fashion illustrations have changed from private space such as home and nature to public space such as city, which reflects diversification and expansion of space for women. This study has identified the changes in meaning, based on the analysis of the characteristics of stereotyped women expressed in fashion illustrations. Above all, women who were objectified as a subject by dominant discourse have established the concept of active body as an entity. In addition, the symbol of typical femininity is "slim" and "beauty", which reflects the change from the emphasis on childbirth-related femininity to self-control and conquer. On the other hand, the typical features expressed through body have reproduced dichotomous structure, but the emergence of body and background deviated from gender has reorganized the symbolic order of gender.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.230-234
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• 1999

Inheritance and concurrency are the primary feature of object oriented languages, and are especially important for code re-use. They provide maximum computational power and modeling power through concurrency of objects. But, concurrent objects and inheritance have conflicting characteristics, thereby simultaneously use of them causes the problem, so failed inheritance anomaly, which requires code redefinition of inherited methods to maintain integrity of objects. In this paper, to solve the inheritance anomaly problems we introduce concept of state abstraction, in which infernal states of encapsulated objects are made available from a part of object's external interface. And we design inheritance interface mechanisms which methods are inherited efficiently. In our scheme, we can solve the typical inheritance anomaly problems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.621-629
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• 2016

This paper presents a decision method of middle ear disease which is developed in children and adults. In the proposed method, features are extracted from the middle ear disease images and normal images using HoG (histogram of oriented gradient) descriptor and the extracted features are learned by SVM (support vector machine) classifier. To obtain an input vector into SVM, an input image is resized to a predefined size and then the resized image is partitioned into 16 blocks each of which is partitioned into 4 sub-blocks (namely cell). Finally, the feature vector with 576 components is given by using HoG with 9 bins and it is used as SVM learning and classification. Input images are classified by SVM classifier based on the model of learning features. Experimental results show that the proposed method yields the precision of over 90% in decision.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.459-470
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• 2012

Information technical dependence degree is coming to be high from constructive information-oriented field. The size and complexity of constructive information are increasing and consequently, the standard for a construction information resource management becomes important. Currently the certification about construction information standard is being enforced part system and information-oriented level etc. from domestic. So we have a plan which will propel the diffusion strategy for the practical application of constructive information standard with introduction of the certification system about construction information standard. For a certification system preparation, we studied a feature and definition about construction information standard and analyzed domestic and foreign case. From that, we accomplished a classification and an analysis about construction information standard becomes the object of certification. And then, we selected the object of the certification through deriving necessities of certification about each construction information standard and considering the priority at the time of introduction. Finally we suggested an certification institutional operation plan about the object which is selected. Held a consultation meeting about the fact where the professional knowledge or technique is demanded and established secured directivity about authentication institutional operation plan and professionalism.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2031-2041
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• 1999

In this paper, we present the HVIS (Hybrid Video Information System) which bolsters up meaning retrieval of all the various users by integrating feature-based retrieval and annotation-based retrieval of unformatted formed and massive video data. HVIS divides a set of video into video document, sequence, scene and object to model the metadata and suggests the Two layered Hybrid Object-oriented Metadata Model(THOMM) which is composed of raw-data layer for physical video stream, metadata layer to support annotation-based retrieval, content-based retrieval, and similarity retrieval. Grounded on this model, we presents the video query language which make the annotation-based query, content-based query and similar query possible and Video Query Processor to process the query and query processing algorithm. Specially, We present the similarity expression to appear degree of similarity which considers interesting of user. The proposed system is implemented with Visual C++, ActiveX and ORACLE.