• 수산해양교육연구
• /
• 제17권3호
• /
• pp.427-433
• /
• 2005

The study of Web GUI(Graphic User Information) system for Virtual Reality System is mainly performed on effective methodology which transform real world data to computing world data. MGIS(Marine Geographic Information System) has its own target on reliable data service by acquisition of geometric information using accurate measurement and graphical visualization. This type of raw data visualization can be built without software tools, yet is incredibly useful for interpreting and communicating data. Even simple visualizations can aid in the interpretation of complex 3D relationships that are frequently encountered in the geosciences. The Virtual Reality Modeling Language provides an easy way for geoscientists to construct complex visualizations that can be viewed with free software. This study propose a three dimensional Web GUI system using MGIS-based three dimensional data models and virtual imaging system. Finally, we design a Web GUI system integrating above data models.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
• /
• pp.1211-1214
• /
• 1993

In this paper, we present a fuzzy-number-oriented methodology to model uncertain geometric robot environment and to manipulate geometric uncertainty between robot coordinate frames. We describe any geometric primitive of robot environment as a parameter vector in parameter space. Not only ill-known values of the parameterized geometric primitive but the uncertain quantities of coordinate transformation are represented by means of fuzzy numbers restricted to appropriate membership functions. For consistent interpretation about geometric primitives between different coordinate frames, we manipulate these uncertain quantities using fuzzy arithmetic.

• 한국실내디자인학회논문집
• /
• 제8호
• /
• pp.32-38
• /
• 1996

The main focus of this paper is to apply contemporary aesthetics and psychological study with interior design analysis. Up to now, the methodology of interior design analysis has been developed toward a more qualitative way. By the virtue of the perception , congnition , and information theory, which oriented toward a quantitative approach, it became possible to investigate interior space analysis to a more objective and scientific ways. The purpose of this study is to investigate Modern and Post-Modern interior - architectural style with quantitative analytical method. The subjective interior critique studied by intuitive research will be transferred to scientific way by using quantitative formula . Savoye Villa and Guardiola House were selected as study model, because each architectural works ware regarded as masterpieces of Modern and Post-Modern style. These two oppositional style model will be distinguished with mathematical quantity by calculating Iave , Hmax, and Redundancy formula.

• 한국조경학회지
• /
• 제21권3호
• /
• pp.35-49
• /
• 1993

The purpose of this study is to establish some concepts, objects, and methodologies which are essential components in the theoretical inquiry of Landscape Architectural Criticism(LAC), and to explore the structure of LAC. Theough comparing the artistic characteristics of landscape architecture with the latent criticism in it, and introducing some important concepts of criticism and aesthetics, the concept of LAC is defined operationally. And through grasping changes of the definitions and concepts about landscpae architecture, and classifying the fields of it which are related to critical structure, the objects of LAC are established. According to Virgil C. Aldrich and many other aestheticians, general aspects of criticism are divided into $\circled1$analysis, $\circled2$ evaluation, $\circled3$interpretation, and $\circled4$description. Through these aspects and Wayne Attoe's opinion(which seemed to be generalized in architectural), the pertinent methodologies of LAC are explored.

• Nuclear Engineering and Technology
• /
• 제38권7호
• /
• pp.591-618
• /
• 2006

An integrated R&D program is being conducted to study, qualify, and in some cases, develop materials with required properties for the reactor systems being developed as part the U.S. Department of Energy's Generation IV Reactor Program. The goal of the program is to ensure that the materials research and development (R&D) needed to support Gen IV applications will comprise a comprehensive and integrated effort to identify and provide the materials data and its interpretation needed for the design and construction of the selected advanced reactor concepts. The major materials issues for the five primary systems that have been considered within the U.S. Gen IV Reactor Program-very high temperature gas-cooled, supercritical water-cooled, gas-cooled fast spectrum, lead-cooled fast spectrum, and sodium-cooled fast spectrum reactors-are described along with the R&D that has been identified to address them.

• 산업경영시스템학회지
• /
• 제24권65호
• /
• pp.41-50
• /
• 2001

Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and intercluster similarity is minimized. The discovered clusters from clustering process are used to explain the characteristics of the data distribution. In this paper we propose a new methodology for clustering related transactions with categorical attributes. Our approach starts with transforming general relational databases into a transactional databases. We make use of inter-dimensional association rules for composing hypergraph edges, and a hypergraph partitioning algorithm for clustering the values of attributes. The clusters of the values of attributes are used to find the clusters of transactions. The suggested procedure can enhance the interpretation of resulting clusters with allocated attribute values.

• Genomics & Informatics
• /
• 제16권4호
• /
• pp.33.1-33.9
• /
• 2018

Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks.

• 대한건축학회논문집:계획계
• /
• 제33권12호
• /
• pp.29-39
• /
• 2017

The building skins are important architectural elements in both functional and aesthetical aspects. This study focuses on developing a responsive facade with autonomous opening and closing behaviors in accordance with environmental conditions and user requirements for natural ventilation for the office building. The pneumatic ETFE panels are applied as the skin materials taking advantage of the efficiency of the inflatable skin of lightness, architectural performance and sustainable material properties. The biomimetic design methodology is taken for its innovative and visionary concept for the facade design. The interpretation of the building facade in analogy to natural organisms delivers functional and aesthetic characters. By exploring the structural movements of the plant pores, the facade control is developed to be autonomous by the parameter values. The facade opening and closing configurations are derived through parametric modeling and visualization programming. Through the application of this study, expected results are to improve user comfort and energy efficiency.

• Annals of Clinical Neurophysiology
• /
• 제25권1호
• /
• pp.10-18
• /
• 2023

The ultimate purpose of eye movement is to maintain clear vision by ensuring that images of observed objects are focused on the fovea in the retina. Accurate evaluation of ocular movements, including nystagmus and saccadic intrusions, provides very useful information for determining the overall function and abnormality of the complex oculomotor system, from the peripheral vestibular system to the cerebrum. Eye movement tests are therefore essential for the accurate diagnosis of patients who complain of dizziness and imbalance. They help to predict lesion locations from the peripheral vestibular system to the central cerebral cortex and play an important role in differentiation from other diseases. The methodology of recording and interpreting ocular movements using video-oculography are described in this review article.

• International Journal of Internet, Broadcasting and Communication
• /
• 제16권1호
• /
• pp.124-131
• /
• 2024

Breast cancer classification using ultrasound, while widely employed, faces challenges due to its relatively low predictive value arising from significant overlap in characteristics between benign and malignant lesions, as well as operator-dependency. To alleviate these challenges and reduce dependency on radiologist interpretation, the implementation of automatic breast cancer classification in ultrasound image can be helpful. To deal with this problem, we propose a semi-supervised deep learning framework for breast cancer classification. In the proposed method, we could achieve reasonable performance utilizing less than 50% of the training data for supervised learning in comparison to when we utilized a 100% labeled dataset for training. Though it requires more modification, this methodology may be able to alleviate the time-consuming annotation burden on radiologists by reducing the number of annotation, contributing to a more efficient and effective breast cancer detection process in ultrasound images.