• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.177-186
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• 2023

Hyperspectral imaging technology is one of the most efficient and fast-growing technologies in recent years. Hyperspectral image (HSI) comprises contiguous spectral bands for every pixel that is used to detect the object with significant accuracy and details. HSI contains high dimensionality of spectral information which is not easy to classify every pixel. To confront the problem, we propose a novel RGB channel Assimilation for classification methods. The color features are extracted by using chromaticity computation. Additionally, this work discusses the classification of hyperspectral image based on Domain Transform Interpolated Convolution Filter (DTICF) and 3D-CNN with Bi-directional-Long Short Term Memory (Bi-LSTM). There are three steps for the proposed techniques: First, HSI data is converted to RGB images with spatial features. Before using the DTICF, the RGB images of HSI and patch of the input image from raw HSI are integrated. Afterward, the pair features of spectral and spatial are excerpted using DTICF from integrated HSI. Those obtained spatial and spectral features are finally given into the designed 3D-CNN with Bi-LSTM framework. In the second step, the excerpted color features are classified by 2D-CNN. The probabilistic classification map of 3D-CNN-Bi-LSTM, and 2D-CNN are fused. In the last step, additionally, Markov Random Field (MRF) is utilized for improving the fused probabilistic classification map efficiently. Based on the experimental results, two different hyperspectral images prove that novel RGB channel assimilation of DTICF-3D-CNN-Bi-LSTM approach is more important and provides good classification results compared to other classification approaches.

• The Journal of Korean Philosophical History
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• no.31
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• pp.87-111
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• 2011

In moral instruction, one of the important purposes is cultivate students' meaningful moral knowing. To obtain this purpose, generally systems approach has been adopted and used in moral instruction. Systems approach has emphasized efficient designs which do not occur incidental learning that does not contribute to obtain learning objectives. However, moral meaning may occur to the subject of knowing, then occurrence of coincidence can not be excluded. If we approach to moral instruction with operative and engineering ways, we may convey the learning object but it won't be received meaningfully. Because of such problem, moral instruction has been required an alternative perspective contrary to the systems approach. Above all we need to reconsider the logic of explanation based on the systems approach. Because the moral instruction is understood that it is a systematic and operative act according to the logic of explanation. According to the logic of explanation, education is an act that conveys the teachers' knowledge to students who have inferior knowledge to teachers'. During this process, students' interpretation has been overlooked. In moral instruction, the teachers' interpretation of moral meaning can occur and extend by students' interpretation. When we understand moral instruction as the course of alliance between interpretation, it could be stood out that teaching as a symbol, constitution of teaching text as a vacuum, learning as a coincidence. When we stand out these aspects, the moral instruction could be understand as a poetic act. And based on such understanding, we can abstract specific resemblances between the poetic act and the moral instruction. There are semantic invariants and semantic variants in the teaching text of moral instruction. The semantic variants premise uncertainty. The limitation, that is, semantic invariants and the openness which is possible within semantic variants are changed to the moral instruction by students' response. It is essential that a selective attention as esthetic transaction that could be changed from text to poet. Like this, we need to take notice of instructive aspects not to means for reaching learning objectives but to act for being possible disinterested experiential learning.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.455-462
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• 2006

Recently, the filtering approach using vector approximation such as VA-file[1] or LPC-file[2] have been proposed to support similarity search in high dimensional data space. This approach filters out many irrelevant vectors by calculating the approximate distance from a query vector using the compact approximations of vectors in database. Accordingly, the total elapsed time for similarity search is reduced because the disk I/O time is eliminated by reading the compact approximations instead of original vectors. However, the search time of the VA-file or LPC-file is not much lessened compared to the brute-force search because it requires a lot of computations for calculating the approximate distance. This paper proposes a new bitmap index structure in order to minimize the calculating time. To improve the calculating speed, a specific value of an object is saved in a bit pattern that shows a spatial position of the feature vector on a data space, and the calculation for a distance between objects is performed by the XOR bit calculation that is much faster than the real vector calculation. According to the experiment, the method that this paper suggests has shortened the total searching time to the extent of about one fourth of the sequential searching time, and to the utmost two times of the existing methods by shortening the great deal of calculating time, although this method has a longer data reading time compared to the existing vector approximation based approach. Consequently, it can be confirmed that we can improve even more the searching performance by shortening the calculating time for filtering of the existing vector approximation methods when the database speed is fast enough.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.204-213
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• 2008

Apartments production without a previous example is existed by suddenly rapid growth of population and city. So this mass producted aged Apartments have many problems that is aged and staleness. Confrontation of obsolete and staleness is Build&Scrap and Remodeling. But Remodeling is much better than Build&Scrap Because Remodeling has Social, Economical, Environmental merits. This Research is Feasibility Evaluation System on an object of Remodeling. Feasibility Evaluation means Possibility on Objective action on aiming action in other words. It means degree of difficulty about purpose to act. Remodeling is based on existing apartment, to improve ability and performance of existed aged Apartment and by engineering technique and method. A point of view, development of Remodeling technique and popularization is necessary as well as Remodeling Plan and Construction technique of applied Existing building logical Approach is that. The purpose of this paper is handling allowance range of Remodeling Plan and Achievement accomplishment Feasibility Evaluation of purpose and objective and Understanding. Remodeling Feasibility is evaluated by two aspects. The first is Macro Level Approach of Remodeling Feasibility Evaluation on a Apartment Complex, and The second is Micro Level Approach of Remodeling Feasibility on each housing part is evaluated about removal and dismantlement.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.406-430
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• 2007

Most pharmaceutical licensing deals are made in the early stage of drug development. While this development process is not unique for complicated technology, a special feature of drug development is that it is highly regulated and a well-defined process. Its statistics in terms of costs and chances of technical success have been researched extensively. This enables relatively detailed calculations as benchmarks for actual deals to be made. Based on such calculations and on the analysis of licensing terms in published agreements, various companies offer quite expensive information, databases, software programs and consultation services to help establish what might be reasonable economic terms in a licensing deal. Over the years, pharmaceutical royalties have been the subject of various articles in journals. Most specific on this subject was the article on determining pharmaceutical royalties. Many other articles are about a more general nature deal with determining reasonable royalty rates, evaluating and underpinning the empirical value and usefulness of the 25% rule. The object of this article is to provide a relatively simple analytical approach based on the major economic terms underlying pharmaceutical licensing deals. The aim is to enhance the understanding of the relations between the major factors involved. Details are disregarded, as generally, where the terms of licensing deals depend on predictions over a considerable length of time, the value of detail is limited. Some specific issues addressed by the approach are the impact on profits of large investments, high risks and long development times characteristic of drug development, the consequent strong impact that the ultimate sales levels and operating margins may have on what might be considered a reasonable royalty rate, and the relationship between upfront payments and milestone payments to be paid during pharmaceutical development and the royalties due once the drug enters the market.

• Journal of KIISE:Databases
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• v.35 no.5
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• pp.379-390
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• 2008

Due to the increase of the amount of image data, the demand for searching similar images is continuously increasing. Therefore, many researches about the content-based image retrieval (CBIR) are conducted to search similar images effectively. In CBIR, it uses image contents such as color, shape, and texture for more effective retrieval. However, when we apply CBIR to satellite images which are complex and pose the difficulty in using color information, we can have trouble to get a good retrieval result. Since it is difficult to use color information of satellite images, we need image segmentation to use shape information by separating the shape of an object in a satellite image. However, because satellite images are complex, image segmentation is hard and poor image segmentation results in poor retrieval results. In this paper, we propose a new approach to search similar images without image segmentation for satellite images. To do a similarity search without image segmentation, we define a similarity of an image by considering SIFT keypoint descriptors which doesn't require image segmentation. Experimental results show that the proposed approach more effectively searches similar satellite images which are complex and pose the difficulty in using color information.

• Journal of KIISE
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• v.43 no.3
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• pp.370-379
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• 2016

Recently personal media were produced in a variety of ways as a lot of smart devices have been spread and services using these data have been desired. Therefore, research has been actively conducted for the media analysis and recognition technology and we can recognize the meaningful object from the media. The system using the media ontology has the disadvantage that can't classify the media appearing in the video because of the use of a video title, tags, and script information. In this paper, we propose a system to automatically classify video using the objects shown in the media data. To do this, we use a description logic-based reasoning and a rule-based inference for event processing which may vary in order. Description logic-based reasoning system proposed in this paper represents the relation of the objects in the media as activity ontology. We describe how to another rule-based reasoning system defines an event according to the order of the inference activity and order based reasoning system automatically classify the appropriate event to the category. To evaluate the efficiency of the proposed approach, we conducted an experiment using the media data classified as a valid category by the analysis of the Youtube video.

• Korean Institute of Interior Design Journal
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• v.20 no.3
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• pp.127-134
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• 2011

Interior design has diverse functions and roles according to recent changes in life and cultural style. As the meaning of space varies, the furniture as another element of the space should also be planned and included in the beginning of the project to accomplish its functional role on the finished space and not only be placed. The relationship between Interior space and furniture should be studied and understood at the same realm because they have a complementary relationship. The final destination of design, which is very challenging to accommodate people, the designer needs to approach to the interior space and furniture in a cognitive view. The study of Semiotics views in a knowledgeable and epistemological way every element as a sign and by the relationship of their characters it makes to understand the structure of the signs. Charles Sanders Peirce, a leader of Semiotics in USA, classified the structure of Sign into Representamen, Object and Interpretant to complete the theory which could systematically describe physical characteristic and function of the Sign and its significance in practical use. Peirce stated that all nine types of Sign would be generated if each structure of Sign in combined with three categories of Sign such as Firstness, Secondness, and Thirdness. In this study, based on Peirce's nine types of Sign, the interrelationship between space and furniture in interior design was investigated with examples in Living Space, Office Space, and Commercial Space, respectively. In the category of Representamen, which can be classified into Qualisign, Sinsign, and Legisign, it is a feature of Living Space to be expressed in harmonized and stabilized ways. In Office Space vertical/horizontal elements and open expression are differently showed depending on fields. And splendid and interesting expressions are showed in Commercial Space. In the category of Object, which can be classified into Icon, Index, and Symbol, each function of Sign has distinctly been showed as Symbol in Living Space, Index in Office Space, and Icon in Commercial Space, respectively. In the category of Interpretant, which can be classified into Rheme, Dicisign, and Argument, it was found that space image of Living Space is transferred to human being, Office Space regulates human bing, and Commercial Space binds human being with the space. In conclusion the function of the interior space and the furniture could be explained in another way with re-interpretation of interrelationship among interior space elements in the concept of Semiotics. It is expected that interpretation with Semiotics in interior design will grow to new theory of design.

• Cartoon and Animation Studies
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• s.51
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• pp.83-105
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• 2018

In the actantial model of Algirdas Julius Greimas, a story makes 3 kinds of relationships with 6 actants, and, in these relationships, the desires of subjects and objects are operated. And, when the subject performs its desire, there are both assistance of helper and disturbance of opponent. And, the object of desire wanted by the subject is provided by sender and receiver. Using this actantial model, this study analyzed the narrative structure of the animation 'Dalbitgungjeon', and, by rearranging the subject of capacity, examined general stream of communication. Korean animations have tried to approach using archetypes of Korean culture as motifs with various perspectives. But, it is true that, compared with foreign animations dramatized using cultural archetypes, Korean animations still have something to be desired. Thus, this study analyzed the narrative structure of 'Dalbitgungjeon' which was recently producted using archetypes of Korean culture as its motif, and, rearranging the subject of capacity, examined general stream of communication. By doing this, this study tried to search for the method of producing an animation equipped with more advanced narrative structure. Of course, narrative structure of Greimas has been studied in various aspects. However, there are still not enough animation researches using cultural archetypes of Greimas. Considering such aspects, this study focused on searching for a method of using the formation of cultural archetypes based on the analysis of fables of Greimas.

• Journal of KIISE:Software and Applications
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• v.34 no.4
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• pp.328-341
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• 2007

When the decision to initiate a software product line has been taken, the first step is the domain analysis describing the variability in the requirements, the second important step is the definition of a domain architecture that captures the overall structure of a series of closely related products. A domain architecture can be a core asset in product line by describing the commonalities and variabilities of the products contained in the software product line. The variabilities, which are identified at each phase of the core assets development, are diverse in the level of abstraction. Therefore, it is important to clearly define, systematically identify, and explicitly represent variability at the architectural level. However, it is difficult to identify and represent the variability which should be considered at the architecture level, because these may be appeared in architecture elements and in architecture configuration. In this paper, we suggest a method of developing domain architecture as a core asset in product line where commonality and variability are explicitly considered. First of all, we will describe a domain architecture metamodel that can explicitly define commonality and variability concepts by extending the Object Management Group's ($OMG^{TM}$ Reusable Asset Specification eRAS) model. Using the domain architecture metamodel, architecture elements are defined and the variations that can be identified at the architecture level are classified into two types in according th abstract level. Additionally, we describe a domain architecture where commonality and variability are explicitly considered on basis of this metamodel.