• Journal of Korean Society for Geospatial Information Science
• /
• v.14 no.3 s.37
• /
• pp.71-77
• /
• 2006

MSAS satellite is the geostationary satellite for realizing WADGPS that can get the position of moving object in a wide area receiving the correction signal created from a ground using satellite. In this study, we analyzed two different data. One is using the correction signal transmitted from MTSAT-2 satellite of MSAS and the other is receiving the data of DGPS using BEACON receiver. As we compared both data, we could get the conclusion that the position accuracy of both data is also can get up to the standard or the conventional real-time code DGPS. As a result, we can expect that if we use MTSAT-2 satellite and BEACON receiver together, we can apply them LBS part that require real-time data or the obtaining geospatial information that does not require high accuracy much regardless of topography.

• Journal of Korean Society of Archives and Records Management
• /
• v.18 no.2
• /
• pp.215-242
• /
• 2018

The record continuum theory is now being studied in Australia, wherein the segregated record management of current, semi-current, and past records based on the temporal flow of the life cycle theory are being critcized. In addition, it emerged as a new paradigm for electronic record management without time and spatial constraints. Moreover, it is recognized as a logical and conceptual entity rather than as a fixed physical object. It also makes it possible to record multiple records in consideration of the complex, multidimensional environment of records. Based on this record continuation theory, the current information and communications technology (ICT) is applied to the four axes and dimension of the record continuation diagram of theoretical researcher Frank Upward. The researchers aim to realize a video recording management method suitable for the electronic record age.

• Journal of IKEEE
• /
• v.24 no.1
• /
• pp.97-105
• /
• 2020

A thermal imaging sensor receives the radiating energy from the target and the background, so it has been widely used for detection, tracking, and classification of targets at night for military purpose. In recognizing the target automatically using thermal images, if the correct edges of object are used then it can generate the classification results with high accuracy. However since the thermal images have lower spatial resolution and more blurred edges than color images, the accuracy of the classification using thermal images can be decreased. In this paper, to overcome this problem, a new hierarchical classifier using both shape and local features based on the segmentation reliabilities, and the class/pose updating method for vehicle classification are proposed. The proposed classification method was validated using thermal video sequences of more than 20,000 images which include four types of military vehicles - main battle tank, armored personnel carrier, military truck, and estate car. The experiment results showed that the proposed method outperformed the state-of-the-arts methods in classification accuracy.

• Journal of the Korean Geographical Society
• /
• v.40 no.3 s.108
• /
• pp.310-320
• /
• 2005

This study attempts at prototyping and evaluating a geovisualization tool that summarizes and explores human activity patterns using spatio-temporal trajectory data collected from GPS receiver. A set of core conceptualization developed in 'time geography' is successfully represented by our prototype based on the notion of 'space-time cube.' The notions of 'temporal dispersion cylinder' and 'parallel plane plot' are also implemented to allow funker analyses of human activity pattern on the space-time trajectory. The capabilities of the geovisualization environment we proposed include the interactive and dynamic functions that support a variety of explorations on the three components of spatio-temporal data : space(where), time(when), and object(what).

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.2
• /
• pp.106-114
• /
• 2017

In this paper, we propose the method of designing an extended kalman filter in order to accurately measure the position of the spatial-phase system using sensor fusion. We use the quaternion as a state variable in expressing the attitude of an object. Then, the attitude of rigid body can be calculated from the accelerometer and magnetometer by applying the Gauss-Newton method. We estimate the changes of state by using the measurements obtained from the gyroscope, the quaternion, and the vision informations by ARVR_SDK. To increase the accuracy of estimation, we designed and implemented the extended kalman filter, which showed excellent ability to adjust and compensate the sensor error. As a result, we could experimentally demonstrate that the reliability of the attitude estimation value can be significantly increased.

• Korean Journal of Optics and Photonics
• /
• v.16 no.1
• /
• pp.56-62
• /
• 2005

Because of the wide plane and the curved field of CRT rear projection high definition television, its MTF(modulation transfer function) can't be easily measured by the usual forward testing method. Then we propose a backward testing method for the MTF so that the object plane and the image analyzer of forward testing are located at positions opposite each other. We prefer to use the backward testing method because the forward testing method has poor accuracy caused by very small numerical aperture, low spatial resolutions, and long depth of focus. We found that the backward testing method was very easy to align and had high repeatability. We confirmed the confidence of results obtained by the backward testing method in comparison with designed results.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.12
• /
• pp.83-93
• /
• 2012

This paper proposes an image segmentation framework that modifies the objective function of Fuzzy C-Means (FCM) to improve the performance and computational efficiency of the conventional FCM-based image segmentation. The proposed image segmentation framework includes a locally weighted fuzzy c-means (LWFCM) algorithm that takes into account the influence of neighboring pixels on the center pixel by assigning weights to the neighbors. Distance between a center pixel and a neighboring pixels are calculated within a window and these are basis for determining weights to indicate the importance of the memberships as well as to improve the clustering performance. We analyzed the segmentation performance of the proposed method by utilizing four eminent cluster validity functions such as partition coefficient ($V_{pc}$), partition entropy ($V_{pe}$), Xie-Bdni function ($V_{xb}$) and Fukuyama-Sugeno function ($V_{fs}$). Experimental results show that the proposed LWFCM outperforms other FCM algorithms (FCM, modified FCM, and spatial FCM, FCM with locally weighted information, fast generation FCM) in the cluster validity functions as well as both compactness and separation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.19 no.2
• /
• pp.137-146
• /
• 2001

Route selection needs the analysis function of GSIS to analyze and manipulate a lot of spatial information efficiently. Therefore, it needs the linkage of system requiring the knowledge and the experience of experts as a method that can estimate each quantitative route for an efficient route selection. In this study, the route selection model through construction and analysis procedure of position information using GSIS were presented, and route selection system linked with expert system was developed. This system is easy to be used and managed for presenting route alignment according to conditions as a graphic user interface environmental window system by applying three tiers based object-oriented method. Using GSIS, the various information required for route selections in database was constructed, the characteristics of subject area by executing three-dimensional terrain analysis was grasped effectively, and the control point through buffering, overlay and location operation was extracted. Three alternative routes between a beginning point and an end point inputted by route selection system were selected. Therefore, the applications of the route selection system are presented by applying this system to the real study area.

• Journal of Intelligence and Information Systems
• /
• v.16 no.2
• /
• pp.95-108
• /
• 2010

In this paper, we present a hybrid neural network model for dynamic hand gesture recognition. The model consists of two modules, feature extraction module and pattern classification module. We first propose a modified CNN(convolutional Neural Network) a pattern recognition model for the feature extraction module. Then we introduce a weighted fuzzy min-max(WFMM) neural network for the pattern classification module. The data representation proposed in this research is a spatiotemporal template which is based on the motion information of the target object. To minimize the influence caused by the spatial and temporal variation of the feature points, we extend the receptive field of the CNN model to a three-dimensional structure. We discuss the learning capability of the WFMM neural networks in which the weight concept is added to represent the frequency factor in training pattern set. The model can overcome the performance degradation which may be caused by the hyperbox contraction process of conventional FMM neural networks. From the experimental results of human action recognition and dynamic hand gesture recognition for remote-control electric home appliances, the validity of the proposed models is discussed.

• Journal of the Korean Institute of Rural Architecture
• /
• v.14 no.2
• /
• pp.11-18
• /
• 2012

Carlos Jimenez's 'House and Studio' was self-designed to fully function as both a home and workplace. Since its establishment in 1983, the installation has been continuously updated for almost 30 years solely under the guidance of the owner's life occurrences and routine needs. The additions and alterations succeeding the building's erection were executed to incorporate small yet symbolic fragments of the resident's memories and life episodes. The particularity of the 'House and Studio' can be compared with other residential remodeling and expansion projects in regards to certain key aspects. These means of comparison include, but are not limited to, building strictly under the direction of a master plan of development vs. allowing natural adaptations that comply with the resident's needs, rapid development vs. gradual advancement, the ornamenting by exposing showy features vs. the enhancing by addition of modest natural components, sustainability vs. sustenance, systematic room divisions vs. ambiguous spatial organization, possession as a materialized asset vs. preservation as a recollection of memories, and finally the recognition as one example of signature architecture vs. the witnessing of a maturing animated shelter. The given propositions can be further explained with the comprehension of Erich Fromm's theory of the 'Having' mode and 'Being' mode, two mechanisms that categorize the essence of human life. The 'Having' mode is described by the human greed for wealth, power, and influence, whereas the 'Being' mode is comprised of compassion, joy, and productivity. Fromm's thesis applies to the general sense of human life, but the ideas can be narrowed to accommodate the architectural standpoint. In architecture, the 'Having' mode can be translated to be the conspicuous form-oriented and self-contained object. The 'Being' mode, on the other hand, is transposed as the more natural form, incorporating the needs of the owner before commercialization. The growth of Jimenez's 'House and Studio' can be perceived as an architectural suggestion to the overcoming of human indifference caused by fixation on the 'Having' mode.