• Journal of Korea Water Resources Association
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• v.55 no.1
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• pp.71-84
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• 2022

The objective of this study is to develop a two-dimensional (2D) flood model that can perform accurate flood analysis with simple input data. The 2D flood inundation models currently used to create flood forecast maps require complex input data and grid generation tools. This sometimes requires a lot of time and effort for flood modeling, and there may be difficulties in constructing input data depending on the situation. In order to compensate for these shortcomings, in this study, a grid-based model that can derive accurate and rapid flood analysis by reflecting correct topography as simple input data was developed. The calculation efficiency was improved by extending the existing 2×2 sub-grid model to a 5×5. In order to examine the accuracy and applicability of the model, it was applied to the Gamcheon Basin where both urban and river flooding occurred due to Typhoon Rusa. For efficient flood analysis according to user's selection, flood wave propagation patterns, accuracy and execution time according to grid size and number of sub-grids were investigated. The developed model is expected to be highly useful for flood disaster mapping as it can present the results of flooding analysis for various situations, from the flood inundation map showing accurate flooding to the flood risk map showing only approximate flooding.

• Journal of the Korea Computer Graphics Society
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• v.29 no.5
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• pp.21-30
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• 2023

Accurate segmentation of the kidney tumor is necessary to identify shape, location and safety margin of tumor in abdominal CT images for surgical planning before renal partial nephrectomy. However, kidney tumor segmentation is challenging task due to the various sizes and locations of the tumor for each patient and signal intensity similarity to surrounding organs such as intestine and spleen. In this paper, we propose a semi-supervised learning-based mean teacher network that utilizes both labeled and unlabeled data using a kidney local guided map including kidney local information to segment small-sized kidney tumors occurring at various locations in the kidney, and analyze the performance according to the kidney tumor size. As a result of the study, the proposed method showed an F1-score of 75.24% by considering local information of the kidney using a kidney local guide map to locate the tumor existing around the kidney. In particular, under-segmentation of small-sized tumors which are difficult to segment was improved, and showed a 13.9%p higher F1-score even though it used a smaller amount of labeled data than nnU-Net.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.390-401
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• 2002

This study was to evaluate the fitness and the suitability of size specification of the ready made jacket for women by analysing pattern size and space between skin and clothing using 3D scanner. The results were as follows: 1. Pattern B had the lowest score and the feeling of wearing was significantly different among the given patterns even though all jacket size specification were the same. 2. Ease amount was different between each brand even though the jacket size specification was the same due to the different pattern grading rules. And increasing grading amounts were bigger in horizontal direction rather than in vertical direction. 3. We could obtain accurate a 3 dimensional figure, using 3D scanner which was very useful and more accurate than 2 dimensional data using photography method. 4. Analyzing the average space between skin and clothing of each pattern, there was no significant difference in the average space between skin and clothing among all patterns except waist part of B88 size. And analyzing the average space between skin and clothing of each measured body parts by each size, there existed a significant difference in the interscye, abdomen and hip parts.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.45-52
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• 2014

The Ubiquitous-City (U-City) is a smart or intelligent city to satisfy human beings' desire to enjoy IT services with any device, anytime, anywhere. It is a future city model based on Internet of everything or things (IoE or IoT). It includes a lot of video cameras which are networked together. The networked video cameras support a lot of U-City services as one of the main input data together with sensors. They generate huge amount of video information, real big data for the U-City all the time. It is usually required that the U-City manipulates the big data in real-time. And it is not easy at all. Also, many times, it is required that the accumulated video data are analyzed to detect an event or find a figure among them. It requires a lot of computational power and usually takes a lot of time. Currently we can find researches which try to reduce the processing time of the big video data. Cloud computing can be a good solution to address this matter. There are many cloud computing methodologies which can be used to address the matter. MapReduce is an interesting and attractive methodology for it. It has many advantages and is getting popularity in many areas. Video cameras evolve day by day so that the resolution improves sharply. It leads to the exponential growth of the produced data by the networked video cameras. We are coping with real big data when we have to deal with video image data which are produced by the good quality video cameras. A video surveillance system was not useful until we find the cloud computing. But it is now being widely spread in U-Cities since we find some useful methodologies. Video data are unstructured data thus it is not easy to find a good research result of analyzing the data with MapReduce. This paper presents an analyzing system for the video surveillance system, which is a cloud-computing based video data management system. It is easy to deploy, flexible and reliable. It consists of the video manager, the video monitors, the storage for the video images, the storage client and streaming IN component. The "video monitor" for the video images consists of "video translater" and "protocol manager". The "storage" contains MapReduce analyzer. All components were designed according to the functional requirement of video surveillance system. The "streaming IN" component receives the video data from the networked video cameras and delivers them to the "storage client". It also manages the bottleneck of the network to smooth the data stream. The "storage client" receives the video data from the "streaming IN" component and stores them to the storage. It also helps other components to access the storage. The "video monitor" component transfers the video data by smoothly streaming and manages the protocol. The "video translator" sub-component enables users to manage the resolution, the codec and the frame rate of the video image. The "protocol" sub-component manages the Real Time Streaming Protocol (RTSP) and Real Time Messaging Protocol (RTMP). We use Hadoop Distributed File System(HDFS) for the storage of cloud computing. Hadoop stores the data in HDFS and provides the platform that can process data with simple MapReduce programming model. We suggest our own methodology to analyze the video images using MapReduce in this paper. That is, the workflow of video analysis is presented and detailed explanation is given in this paper. The performance evaluation was experiment and we found that our proposed system worked well. The performance evaluation results are presented in this paper with analysis. With our cluster system, we used compressed $1920{\times}1080(FHD)$ resolution video data, H.264 codec and HDFS as video storage. We measured the processing time according to the number of frame per mapper. Tracing the optimal splitting size of input data and the processing time according to the number of node, we found the linearity of the system performance.

• JSTS:Journal of Semiconductor Technology and Science
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• v.11 no.3
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• pp.207-220
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• 2011

Coarse-grained reconfigurable architecture (CGRA) based embedded systems aims to achieve high system performance with sufficient flexibility to map a variety of applications. However, the CGRA has been considered as prohibitive one due to its significant area/power overhead and performance bottleneck. In this work, I propose reconfigurable multi-array architecture to reduce power/area and enhance performance in configurable embedded systems. The CGRA-based embedded systems that consist of hierarchical configurable computing arrays with varying size and communication speed were examined for multimedia and other applications. Experimental results show that the proposed approach reduces on-chip area by 22%, execution time by up to 72% and reduces power consumption by up to 55% when compared with the conventional CGRA-based architectures.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.987-990
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• 2005

An important issue in the field of face recognitions and man-machine interfaces is an automatic detection of faces in visual scenes. it should be computationally fast enough to allow an online detection. In this paper we describe our ongoing work on face detection that models the face appearance by edge orientation and color distribution. We show that edge orientation is a powerful feature to describe objects like faces. We present a method for face region detection using edge orientation and a method for face feature detection using local color information. We demonstrate the capability of our detection method on an image database of 1877 images taken from more than 700 people. The variations in head size, lighting and background are considerable, and all images are taken using low-end cameras. Experimental results show that the proposed scheme achieves 94% detection rate with a resonable amount of computation time.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.2
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• pp.13-24
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• 1994

the purpose of this study was to suggest managemental strategies for one-day use recreational area in public sector under competitive environment with private sector. Data was collected from citizens of Seoul, and 10 recreational areas were determined by a preliminary survey. Theses areas were regarded as "products", then positioning was applied to these products. Perceptual map was produced by multidimensional scaling to identify degree of competition among areas. Properties, which were developed by the Kelly Repertory Grid, were utilized to understand the strong and weak points of each area. Ideal types of recreational areas were analyzed by PREFMAP, then the size and distribution of recreation market of Seoul were found by grouping of individual ideal point by cluster analysis. Several strategies were suggested to enhance the competitive power for public recreation areas, and a few comments were described to improve this method for future research.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.9
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• pp.9-17
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• 1993

There are multiple controllers (PLC. LOOP Controller ) which are operating in product line and fabrication line. In those lines, it is necessary to connect various multilple controllers with integrity and coordination. The ways to connect those devices are specified by ISO network standard. In this paper, real time network is designed and implemented for factory automation at lowest possible cost that meets the small and middle size MINI-MAP specifications. Network performance is evaluated by simulation method on data link layer implemented interfacing modules has efficiency in throughput by reducing processing time. The system designed in this paper can be also applied to the field of distributed systems for real time processing.

• Journal of the Korean Society of Food Science and Nutrition
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• v.27 no.6
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• pp.1137-1142
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• 1998

Modified atmosphere packagings were designed by combining the respiration characteristics of the enoki mushroom at 10oC and the measured film permeabilities to O2 and CO2 gases to attain the beneficial package atmosphere were fabricated and tested during storage. The packages of 100g size with 30 m low density polyethylene and cast polypropylene showed the good agreement between estimated and experimental package atmospheres. However, polyvinylchloride stretch wrap packs showed the gas composition close to the air, which was due to leaking of stretch wrapping. The CPP package attaining O2 below 1% and CO2 concentration of 15~20% gave the best retention of quality and thus the longest shelf life among the tried packages, and it was superior to the others in the Hunter L value, stipe elongation and sensory qualties.

• Journal of Advanced Marine Engineering and Technology
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• v.26 no.4
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• pp.425-431
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• 2002

In this study the characteristics of E-EGR valve developed by electrical method were analysed and the feasibility of application to vehicles was evaluated. The engine of smart car applied for diesel passenger car of small-displacement size developed by common vehicle was used for this experiment. It was installed a 3-cylinder, $0.8\ell$, turbo-charged light duty diesel engine with an electronic EGR valve. After the analysis and comparison of E-EGR valve performance by test bench, the estimation of vehicle application was executed through the EGR map and CVS-75 test result measured on the chassis dynamometer.