• Journal of Korea Spatial Information System Society
• /
• v.10 no.2
• /
• pp.49-62
• /
• 2008

This paper proposes an indoor location positioning system for the image recognition based LBS. The proposed system is a vision-based location positioning system that is implemented the augmented reality by overlaying the location results with the view of the user. For implementing, the proposed system uses the pattern matching and location model to recognize user location from images taken by a wearable mobile PC with camera. In the proposed system, the system uses the pattern matching and location model for recognizing a personal location in image sequences. The system is estimated user location by the image sequence matching and marker detection methods, and is recognized user location by using the pre-defined location model. To detect marker in image sequences, the proposed system apply to the adaptive thresholding method, and by using the location model to recognize a location, the system can be obtained more accurate and efficient results. Experimental results show that the proposed system has both quality and performance to be used as an indoor location-based services(LBS) for visitors in various environments.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.6
• /
• pp.783-788
• /
• 2004

Many reported methods assume that the faces in an image or an image sequence have been identified and localization. Face detection from image is a challenging task because of the variability in scale, location, orientation and pose. The difficulties in visual detection and recognition are caused by the variations in viewpoint, viewing distance, illumination. In this paper, we present an efficient linear discriminant for multi-view face detection and face location. We define the training data by using the Fisher`s linear discriminant in an efficient learning method. Face detection is very difficult because it is influenced by the poses of the human face and changes in illumination. This idea can solve the multi-view and scale face detection problems. In this paper, we extract the face using the Fisher`s linear discriminant that has hierarchical models invariant size and background. The purpose of this paper is to classify face and non-face for efficient Fisher`s linear discriminant.

• Composites Research
• /
• v.25 no.4
• /
• pp.126-132
• /
• 2012

It is useful to have a quick analysis program in early design process for feasibility studies of composite cylinder because it takes long time and is not cost effective by commercial programs. In this paper, a GUI program is developed to calculate the stress distribution in a fast manner with the properties, the orientation angle and the stacking sequence of composite material using LabVIEW. The stress distributions of an autofrettaged cylinder and a composite cylinder with internal pressure are compared with the results by MSC Nastran/patran. The stress distribution of steel/composite cylinder is compared with the values of existing studies, and is proved. Furthermore, by calculating the stress distribution of an autofrettaged steel/composite cylinder, the stress distribution is estimated, and the program will be useful in an early design phase for feasibility studies.

• Information Systems Review
• /
• v.7 no.1
• /
• pp.195-217
• /
• 2005

Individual recognizes knowledge sharing as a transaction action. This transaction occurring in knowledge sharing is considered as a special and complicated transaction derived from employee's relationship rather than a economic transaction. In addition, It is important that knowledge sharing among individuals is established through a closed interrelationship with situation. In this point of view, knowledge sharing can be explained by a social exchange relationship. Therefore, there are two study's purpose as follows. First, The study draws factors affecting to knowledge sharing in the view of social exchange theory. The study reviews factors that are presented at previous social exchange theories and affecting to knowledge sharing focused on organization contingency traits, relationship traits, and individuals traits among individuals in an organization. Second, even though trust and organization involvement is resulted in above affecting factors, most previous studies are mainly examined as the same level to other factors affecting to knowledge sharing. Thus, this paper focused that the above factors affect to trust and organization involvement that affect to knowledge sharing intention. That is, this study presents that when affecting factors mediate trust and involvement, there is a knowledge sharing intention for creating organization knowledge. For the study, 160 government employees are administered for the survey so that the research model and hypothesis are developed. Empirical study shows that in public organizations knowledge sharing affects to relationship traits factors and individuals traits affects trust and organization involvement. Also, it is examined that trust and organization involvement affecting to knowledge sharing intention in such a sequence.

• Journal of Biomedical Engineering Research
• /
• v.27 no.5
• /
• pp.203-209
• /
• 2006

The aim of this study is to investigate the feasibility of ex vivo MR diffusion tensor imaging technique in order to observe the diffusion-contrast characteristics of human gastric tissues. On normal and pathologic gastric tissues, which have been fixed in a polycarbonate plastic tube filled with 10% formalin solution, laboratory made 3D diffusion tensor Turbo FLASH pulse sequence was used to obtain high resolution MR images with voxel size of $0.5{\times}0.5{\times}0.5mm^3\;using\;64{\times}32{\times}32mm^3$ field of view in conjunction with an acquisition matrix of $128{\times}64{\times}64$. Diffusion weighted- gradient pulses were employed with b values of 0 and $600s/mm^2$ in 6 orientations. The sequence was implemented on a clinical 3.0-T MRI scanner(Siemens, Erlangen, Germany) with a home-made quadrature-typed birdcage Tx/Rx rf coil for small specimen. Diffusion tensor values in each pixel were calculated using linear algebra and singular value decomposition(SVD) algorithm. Apparent diffusion coefficient(ADC) and fractional anisotropy(FA) map were also obtained from diffusion tensor data to compare pixel intensities between normal and abnormal gastric tissues. The processing software was developed by authors using Visual C++(Microsoft, WA, U.S.A.) and mathematical/statistical library of GNUwin32(Free Software Foundation). This study shows that 3D diffusion tensor Turbo FLASH sequence is useful to resolve fine micro-structures of gastric tissue and both ADC and FA values in normal gastric tissue are higher than those in abnormal tissue. Authors expect that this study also represents another possibility of gastric carcinoma detection by visualizing diffusion characteristics of proton spins in the gastric tissues.

• Journal of Life Science
• /
• v.18 no.6
• /
• pp.753-758
• /
• 2008

Genus Hemerocallis is a herbaceous species and some species among their taxa are very important herbal medicines. We evaluated representative samples of the eight taxa in Korea with inter simple sequence repeats (ISSR) markers to estimate phylogenetic relationships within taxa of this genus. The studied taxa were Hemerocallis fulva L., H. fulva for. kwanso, H. dumortieri Morren, H. coreana Nakai, H. hongdoensis M.G.Chung & S.S.Kang, H. middendorffi Trautv. et Mayer, H. thunbergii Baker, H. minor Miller. In addition, we investigated the genetic variation and structure of Korean populations of these taxa. The mean genetic diversity was 0.098 across species, varying from 0.068 to 0.123. A low level of genetic variation was found in populations of Hemerocallis species. Specially, gene diversity for H. minor was maintained the highest among genus Hemerocallis. An indirect estimate of the number of migrants per generation (Nm=0.218) indicated that gene flow was not extensive among Korean populations of Hemerocallis species. The phylogenic tree showed distinct three clades. One includes H. fulva, H. fulva for. kwanso and H. middendorffi. Another includes three Hemerocallis species, H. dumortieri, H. thunbergii and H. minor. The H. coreana and H. hongdoensis were shown as the sister group to the second clades. Although the size of sampling was not large enough for eight Korean Hemerocallis species, the analyses of ISSRs will certainly provide an enhanced view on the phylogeny of species.

• Journal of KIISE:Databases
• /
• v.41 no.4
• /
• pp.249-255
• /
• 2014

Copy number variations(CNVs) are a recently recognized class of human structural variations and are associated with a variety of human diseases, including cancer. To find important cancer genes, researchers identify novel CNVs in patients with a particular cancer and analyze large amounts of genomic and clinical data. We present a tool called CNVDAT which is able to detect CNVs from NGS data and systematically analyze the genomic and clinical data associated with variations. CNVDAT consists of two modules, CNV Detection Engine and Sequence Analyser. CNV Detection Engine extracts CNVs by using the multi-resolution system of scale-space filtering, enabling the detection of the types and the exact locations of CNVs of all sizes even when the coverage level of read data is low. Sequence Analyser is a user-friendly program to view and compare variation regions between tumor and matched normal samples. It also provides a complete analysis function of refGene and OMIM data and makes it possible to discover CNV-gene-phenotype relationships. CNVDAT source code is freely available from http://dblab.hallym.ac.kr/CNVDAT/.

• Cartoon and Animation Studies
• /
• s.15
• /
• pp.251-265
• /
• 2009

Motion Graphics are a great effective vehicle for precise communication between customers in various media and formats. The important thing in the expression of Motion Graphics is to deliver messages clearly. Some current Motion Graphics which are focused on only attracting attention or sensational expressions more than narrative are evaluated lower. This study aims to utilize easy and positive Motion Graphics to deliver messages by applying their utility to production of Motion Graphics, omitting time spent on delivering effective messages and analyzing their suggestive expression methods because of the nature of producing Motion Graphics. This thesis is to study several theoretical backgrounds of omission and implicated expressions mentioned in the similar studies from the view of Motion Graphics, and to search applied examples and functional things using the expression methods in some film title sequence. Excellent Motion Graphics use planned omission and implicated methods rather than to use entire narratives or complicated descriptions. Especially, a film title sequence should focus on symbolic visual expressions. They are necessary to attract the audience's interest. To overcome the limitation of time and space deliver a huge amount of information quickly and powerfully, Motion Graphics should properly use omission of image and time and suggestive expressions through symbols and metaphors. Then they will have a role to level up their current values and discussions.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.12
• /
• pp.579-586
• /
• 2021

Time series forecasting refers to predicting future time information based on past time information. Accurately predicting future information is crucial because it is used for establishing strategies or making policy decisions in various fields. Recently, a transformer model has been mainly studied for a time series prediction model. However, the existing transformer model has a limitation in that it has an auto-regressive structure in which the output result is input again when the prediction sequence is output. This limitation causes a problem in that accuracy is lowered when predicting a distant time point. This paper proposes a sequential decoding model focusing on the style transformation technique to handle these problems and make more precise time series forecasting. The proposed model has a structure in which the contents of past data are extracted from the transformer-encoder and reflected in the style-based decoder to generate the predictive sequence. Unlike the decoder structure of the conventional auto-regressive transformer, this structure has the advantage of being able to more accurately predict information from a distant view because the prediction sequence is output all at once. As a result of conducting a prediction experiment with various time series datasets with different data characteristics, it was shown that the model presented in this paper has better prediction accuracy than other existing time series prediction models.

• The Bulletin of The Korean Astronomical Society
• /
• v.34 no.1
• /
• pp.193-193
• /
• 2009