• Culinary science and hospitality research
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• v.10 no.2
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• pp.72-83
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• 2004

The study aimed at conducting comparative analysis of employees' job satisfaction between Korean brand restaurant and foreign's in the food service industry, and suggesting useful human resource management. As a result, the survey showed several findings; The first, workers in the Korean brand restaurant have more satisfied than foreign brand restaurant employee overall. The second, expecially employees in the Korean brand company have higher pride and vision than those of Foreign brand company in the restaurant business. The third, service staffs in the both recognized very low in the working schedule, fairness of promotion, and wage. Some implications are as followed; The first, works as a one day manager or unit manager who is one of the best employees. The second, use education & training video to increasing the communication. The third, attend in the decision making to being a part of co' and giving a motivation.

• Research in Mathematical Education
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• v.8 no.2
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• pp.81-93
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• 2004

This study investigated three preservice teachers' mathematical problem solving among hand-in-write-ups and final projects for each subject. All participants' activities and computer explorations were observed and video taped. If it was possible, an open-ended individual interview was performed before, during, and after each exploration. The method of data collection was observation, interviewing, field notes, students' written assignments, computer works, and audio and videotapes of preservice teachers' mathematical problem solving activities. At the beginning of the mathematical problem solving activities, all participants did not have strong procedural and conceptual knowledge of the graph, making a model by using data, and general concept of a sine function, but they built strong procedural and conceptual knowledge and connected them appropriately through mathematical problem solving activities by using the computer technology.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.234-243
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• 2017

With the development of smartphone technologies enable photoplethysmogram (PPG) acquisition by camera and heart rate (HR) measurement. This papers presents improved algorithm to extract HR from PPG signal recorded by smartphone camera and to develop real-time PPG signal processing Android application. 400 video samples recorded by Samsung smartphone camera are imported as input data for further processing and evaluating algorithm on MATLAB. An optimized algorithm is developed and tested on Android platform with different kind of Samsung smartphones. To assess algorithm's performance, medical device Beurer BC08 is used as reference. According to related works, accuracy parameters includes 90% number of samples that has relative errors less than 5%, Person correlation (r) more than 0.9, and standard estimated error (SEE) less than 5 beats-per-minutes (bpm).

• Journal of Korean Neurosurgical Society
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• v.60 no.3
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• pp.289-293
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• 2017

An exoscope, high-definition video telescope operating monitor system to perform microsurgery has recently been proposed an alternative to the operating microscope. It enables surgeons to complete the operation assistance by visualizing magnified images on a display. The strong points of exoscope are the wide field of view and deep focus. It minimized the need for repositioning and refocusing during the procedure. On the other hand, limitation of magnifying object was an emphasizing weak point. The procedures are performed under 2D motion images with a visual perception through dynamic cue and stereoscopically viewing corresponding to the motion parallax. Nevertheless, stereopsis is required to improve hand and eye coordination for high precision works. Consequently novel 3D high-definition operating scopes with various mechanical designs have been developed according to recent high-tech innovations in a digital surgical technology. It will set the stage for the next generation in digital image based neurosurgery.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.63-66
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• 2009

Automatic segmentation of foreground from background in video sequences has attracted lots of attention in computer vision. This paper proposes a novel framework for the background subtraction that the foreground is segmented from the background by directly subtracting a background image from each frame. Most previous works focus on the extraction of more reliable seeds with threshold, because the errors are occurred by noise, weak color difference and so on. Our method has good segmentations from the approximate seeds by using the Random Walks with Restart (RWR). Experimental results with live videos demonstrate the relevance and accuracy of our algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.53-56
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• 2004

H.264/AVC (baseline profile)은 MPEG-4 (simple profile)에 비하여 약 2배정도 향상된 압축 성능을 나타내는 것으로 알려져, DMB 방송, DVD 등에 사용될 예정이며, 다양한 멀티미디어 서비스에 사용될 차세대 비디오 압축 표준으로 인정받고 있다 하지만, 부호기의 복잡도는 MPEG-4 simple profile에 비하여 16배정도 높아져서, 실시간을 요구하는 서비스, 또는 임베디드 환경을 갖는 서비스에 사용하는데 심각한 제약을 갖는다. 따라서, 기존의 표준 코덱들을 대체하여 다양한 통신 환경에서 향상된 화질의 비디오 서비스를 제공하기 위해서는 코덱의 복잡도 개선이 매우 중요하다. 본 논문은 H.264/AVC 비디오 코덱을 임베디드 환경을 갖는 통신 서비스에 적용하기 위하여 코덱의 복잡도를 개선하기 위한 방법을 제시한다

• International Journal of Contents
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• v.7 no.2
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• pp.11-16
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• 2011

In this paper, we develop a mobile MAP open API using HTML5 local storage and the W3C geolocation API. The mobile MAP open API consists of the basic JavaScript MAP API, offline navigation API, and multimedia POI (mPOI) API. The basic JavaScript MAP API creates a map and controls, rotates, and overlays data on the map. The offline navigation API is developed using HTML5 local storage and web storage. The mobile web application downloads and stores mPOIs of works of art to local storage or web storage from a web server. The mPOI API is developed using HTML5 video and audio APIs. We develop a mobile art park guidance application using the developed mobile MAP open API.

• Korean Journal of Occupational Health Nursing
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• v.15 no.2
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• pp.126-132
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• 2006

Purpose: This study was done to evaluate the program for smoking cessation of workers in small workplace. Method: The study cases were seventy workers who voluntarily participated in the above program and they were from small workplace (under fifty employees) at Yonugdeungpo-gu, Seoul. This program was composed of individual health education and distributing guide books and video. Nurses visited the workplace for the program once two weeks. Result: Nine works (12.9%) succeed and 10 worker(14.3%) failed in smoking cessation. Number of cigarettes smoked a day and level of nicotine dependency of fifty-one(72.9%) workers decreased significantly. Conclusion: The results indicated the program was successful for workers at small workplace. The continual management by nurses' regular visit was the moat important thing for successful program.

• Journal of the Semiconductor & Display Technology
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• v.14 no.3
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• pp.37-43
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• 2015

In this paper, a new background subtraction algorithm for video based fence monitoring surveillance systems is proposed. We adopt the sampling based background subtraction technique and focus on the two main issues: handling highly dynamic environment and handling the flickering nature of pulse based IR (infrared) lamp. Natural scenes from fence monitoring system are usually composed of several dynamic entities such as swaying trees, moving water, waves and rain. To deal with such dynamic backgrounds, we utilize the confidence factor for each background value of the input image. For the flickering IR lamp, the original sampling based technique is extended to handle double background models. Experimental results revealed that our method works well in real fence monitoring surveillance systems.

• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.1-6
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• 2019

Foreground/background segmentation in video sequences is often one of the first tasks in machine vision applications, making it a critical part of the system. In this paper, we present an improved sample-based technique that provides robust background image as well as segmentation mask. The conventional multiple interval sampling (MIS) algorithm have suffer from the unbalance of computation time per frame and the rapid change of confidence factor of background pixel. To balance the computation amount, a random-based pixel update scheme is proposed and a spatial and temporal smoothing technique is adopted to increase reliability of the confidence factor. The proposed method allows the sampling queue to have more dispersed data in time and space, and provides more continuous and reliable confidence factor. Experimental results revealed that our method works well to estimate stable background image and the foreground mask.