• Journal of the Korean Institute of Rural Architecture
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• v.9 no.3
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• pp.111-120
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• 2007

Recently, the small-scale local governments of japan are enlarging and enriching the service of health, medical and welfare facilities for the elderly . Intensive arrangement of the three types of facilities is one of the effective ways especially for the small-scale local governments. The service network between facilities benefits by the intensive arrangement. Benefits include the network of the medical service, the share of care information, the share of space and equipment. It can be a notable feature in the intensive arrangement that the elderly were taken from welfare facilities (especially dayscare center) to hospital of high movement frequency quickly. Instead of EV path as possible, It is desirable to stand close between facilities of high movement frequency. For large area, the heavy snow made low daycare ratio. Therefore, it is desirable to construct a branch office at a long distance.

• Korean Institute of Interior Design Journal
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• v.18 no.4
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• pp.88-96
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• 2009

Contemporary hotels adopt distinctive designs in order to symbolize themes of various spaces they consist of. This phenomenon shows that the importance of spiritual values reflected through themes of spaces is emphasized as much as those of basic functions and structures of hotels. Above all, a variety of expression methods pervading throughout spaces of guest rooms consist of thematic spaces, visualization of emotions, as well as mixture of artistic genres, ones that are originated from unconsciousness of symbolic theory of C.G. Jung and widely perceived as variations of archetype. Meanings of symbolic expressions derived from the analysis of various hotels can be defined by attributes of local cultures as well as propensities of mythicism, which feature local pride enlightened by natural environments, the spirit of the times, historical events and other transcendental and fantastic topics. These symbolic expressions are metaphysical forms that are made unconsciously and such symbols are far beyond mere historical and cultural signs which require us profound and mature methods to approach. It is pleasing to know that we are living in the modern society in which progresses are being made to better understand minds and metal states of human beings. Given such a circumstantial advantage, researches on meanings of symbolic expressions should not be limited to only those of hotel designs, but also those of religious architectures and museums in which spiritual values are emphasized throughout designs of the spaces they consist of.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.1000-1009
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• 2007

This paper presents a content adaptive interpolation (CAI) for intra deinterlacing. The CAI consists of three steps: pre-processing, content classification, and adaptive interpolation. There are also three main interpolation methods in our proposed CAI, i.e. modified edge-based line averaging (M-ELA), gradient directed interpolation (GDI), and window matching method (WMM). Each proposed method shows different performances according to spatial local features. Therefore, we analyze the local region feature using the gradient detection and classify each missing pixel into four categories. And then, based on the classification result, a different do-interlacing algorithm is activated in order to obtain the best performance. Experimental results demonstrate that the CAI method performs better than previous techniques.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.3
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• pp.270-274
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• 2002

This paper presents a teleoperation system that combines computer network and an autonomous mobile robot. We control remotely an autonomous mobile robot with vision over the Internet to guide it under unknown environments in the real time. The main feature of this system is that local operators need a web browser and a computer connected to the communication network and so they can command the robot in a remote location through the home page. The hardware architecture of this system consists of an autonomous mobile robot, workstation, and local computers. The software architecture of this system includes the client part for the user interface and robot control as well as the server part for communication between users and robot. The server and client systems are developed using Java language which is suitable to internet application and supports multi-platform. Furthermore. this system offers an image compression method using JPEG concept which reduces large time delay that occurs in network during image transmission.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.26 no.1
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• pp.133-140
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• 2002

This article presents an application of a large-scale structural mixing model(Broadwell et at. 1984) to the blowout of turbulent reacting cross flow jets. Experimental observations, therefore, aim to identify the existence of large-scale vortical structure exerting an important effect upon the flame stabilization. In the analysis of common stability curve, it is seen that the phenomenon of blowout are only related to the mixing time scale of the two flows. The most notable observation is that the blowout distance is traced at a fixed positions according to the velocity ratio at all times. Measurements of the lower blowout limits in the liftable flame are qualitatively in agreement with the blowout parameter $\xi$, proposed by Broadwell et al. Good agrement between the results calculated by a modified blowout parameter $\xi$'and the present experimental results confirms the important effect of large-scale structure in the stabilization feature of blowout.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3751-3770
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• 2015

Many sorts of image processing software facilitate image editing and also generate a great number of doctored images. Forensic technology emerges to detect the unintentional or malicious image operations. Most of forensic methods focus on the detection of single operations. However, a series of operations may be used to sequentially manipulate an image, which makes the operation detection problem complex. Forensic investigators always want to know as much exhaustive information about a suspicious image's entire processing history as possible. The detection of the operation chain, consisting of a series of operations, is a significant and challenging problem in the research field of forensics. In this paper, based on the histogram distribution uniformity of a manipulated image, we propose an operation chain detection scheme to identify histogram equalization (HE) followed by the dither-like operation (DLO). Two histogram features and a local spatial feature are utilized to further determine which DLO may have been applied. Both theoretical analysis and experimental results verify the effectiveness of our proposed scheme for both global and local scenarios.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5605-5623
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• 2016

We propose a face recognition method that utilizes the LCP face descriptor. The proposed method applies a LoG mask to extract a face contour response, and employs the LCP algorithm to produce a binary pattern representation that ensures high recognition performance even under the changes in illumination, noise, and aging. The proposed LCP algorithm produces excellent noise reduction and efficiency in removing unnecessary information from the face by extracting a face contour response using the LoG mask, whose behavior is similar to the human eye. Majority of reported algorithms search for face contour response information. On the other hand, our proposed LCP algorithm produces results expressing major facial information by applying the threshold to the search area with only 8 bits. However, the LCP algorithm produces results that express major facial information with only 8-bits by applying a threshold value to the search area. Therefore, compared to previous approaches, the LCP algorithm maintains a consistent accuracy under varying circumstances, and produces a high face recognition rate with a relatively small feature vector. The test results indicate that the LCP algorithm produces a higher facial recognition rate than the rate of human visual's recognition capability, and outperforms the existing methods.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.368-373
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• 2007

In recent year s there have been increasing interests in real-time object tracking with image information. This dissertation presents a real-time object tracking method through the object recognition based on neural networks that have robust characteristics under various illuminations. This dissertation proposes a global search and a local search method to track the object in real-time. The global search recognizes a target object among the candidate objects through the entire image search, and the local search recognizes and track only the target object through the block search. This dissertation uses the object color and feature information to achieve fast object recognition. The experiment result shows the usefulness of the proposed method is verified.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.645-664
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• 2009

This article is researched to analyze what kinds of projects were conducted by the special grant, the balanced development special account(BSDA), and the municipal projects in the case of Sangjucity and Seochengun, in the introduction time of the bock grants of BSDA and the municipal development plan in 2010. Furthermore this study presents the problems and the direction of improvement. For the territorial integration of a regional development in long-term, I suggest that the spacial grant and BSDA are necessary to be integrated because of ambiguous difference. And also the block grants of current 24 projects in 7 groups should be reclassified as the concept and the functional feature of pluralistic rural development.

• Journal of KIISE:Software and Applications
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• v.34 no.11
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• pp.961-970
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• 2007

Since the usual conventional edge detectors employ the local differential derivatives, the detected edges are not uniform in their widths or some edges are missed out of the detection on magnified images. We employ a mapping from the exactly monotonic intensity distributions of ramp edges to the simple step functions of intensity, which is referred to as perfect sharpening map of ramp edges. This map is based on the non-local feature of intensity distribution and used to introduce a modified differentiation, in terms of which we can construct an efficient edge detector adaptive to the variation of edge width. By adopting the operator MADD in this paper, we developed an edge detector that works stably against the magnification of image or the variation of edge width. It is shown by comparing to the conventional algorithms that the proposed one is very excellent.