• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.601-605
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• 2009

We have proposed a measurement system for measuring a whole shape of an object easily. The proposed system consists of a camera and a cylinder whose inside is coated by a mirror layer. A target object is placed inside the cylinder and an image is captured by the camera from right above. The captured image includes sets of points that are observed from multiple viewpoints: one is observed directly, and others are observed via the mirror. Therefore, the whole shape of the object can be measured using stereo vision in a single shot. This paper shows that a prototype of the proposed system was implemented and an actual object was measured using the prototype. A method based on a pattern matching which uses a value of SSD (Sum of Squared Difference), and a method based on DP (Dynamic Programming) are employed to identify a set of corresponding points in warped captured images.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.161-172
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• 1996

The objective of this research is to develope a process of integrating video image into digital map. In order to reach the research objective, the work includes the development of georeferencing technique for video images, the development of pilot system and the assesment process. Georeferencing technique for video images is composed of DGPS positioning, filtering of abnormal points, map conflation, indexing locations for key frames via time tag and indexing locations for total frames. By using the proposed building process, we could find the result that the accuracy of image capturing test points is $92.8%({\pm}2\;frames)$. The eventual meaning of this study is that it is possible to find a new conception of digital map, which overcomes a limitation of exiting two dimensional digital map.

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.4
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• pp.392-400
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• 2016

In this paper, a study based on engine operating conditions versus hybrid excavator engines was conducted about the engine performance and fuel consumption via the 1-D engine simulation model. First of all, engine operating points with performance and emission were determined by driving patterns. The 1-D HFEM(High Frequency Engine Model) was developed for deep insight into engine combustion and the energy conversion phenomena. In accordance with changing operating points, especially High Idle and Rated output conditions, engine parameters and systems such as turbocharger(Waste Gate Turbocharger and Variable Geometry Turbocharger) injection strategies and EGR(Exhaust Gas Recirculation) should be considered. Therefore, various configurations and parametric analysis with optimization methods in hybrid excavator were simulated and optimized by NLPQL(Non-linear Programming by Quadratic Lagrangian algorithm) in 1-D HFEM. As a result, the fuel consumption with the developed hybrid electric excavator engine could be significantly decreased and bsfc(Brake Specific Fuel Consumption) was also reduced about 5 % to 7 % without any performance degradation.

• Journal of the Korean Dietetic Association
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• v.15 no.3
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• pp.262-277
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• 2009

Fresh-cut foods have been widely used in the school foodservice industry due to their convenience and saving effects of labor and working hours. This study evaluated the effectiveness of using fresh-cut foods in school foodservice with respect to cost efficiency, customer satisfaction, employee satisfaction, and productivity. First, in terms of cost efficiency, the cost of the fresh-cut food per meal price significantly increased by 2.6% via the new production plan. Meanwhile, the costs of labor and food wastes significantly decreased by 3.0% and 0.3%, respectively, after implementing the new plan. Second, customer satisfaction towards foodservice significantly increased, from 2.94 points prior to the new plan to 3.45 points. Third, foodservice productivity such as of the number of meals per full-time equivalent employee increased by 5.7 meals, from 143.0 meals to 148.7 meals after intervention. The productivity index of work hours for producing a meal also increased and was reflected by a work time reduction of 0.77 minutes, specifically from 4.25 minutes to 3.48 minutes. The labor cost per meal also decreased by 29.9 won, from 331.91 won to 301.97 won, but there was no significant difference. Through these results, we identified that using pre-process foods in school foodservice has positive effects on labor saving, customer satisfaction, and employee work satisfaction.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.305-315
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• 2005

Purpose: The purpose of this study was to investigate the relationships among depression, sleep patterns and health promoting behavior in female college students. Methods: The subjects of this study consisted of 350 college students. The data was collected through self-administered questionnaires from November to December of 2004. The data was analyzed via the SPSS computer program by using descriptive statistics, t-tests, ANOVA and Pearson's correlation coefficients. Results: There are significant differences and impacts on depression according to the amount of coffee consumed, the time spent on computer and the amount of smoke inhaled. Sleep patterns differ depending on one's college major, the time spent on computer, and the amount of smoke inhaled. Health promotion behavior was shown to be significantly different according to the living style, college major and how much TV was watched The mean scores for depression, sleep patterns, health promoting behavior were 1.45 (on a 3 points scale), 2.71 (on a 4 points scale), and 3.03 (on a 5 point scale), respectively. There was a significant positive correlation between sleep patterns and health promoting behavior, and there was negative correlation between depression and health promoting behavior, and between depression and sleep patterns in college students. Conclusion: The findings of this study give useful information to create further studies on intervention programs related to health promoting behavior for college female students.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.5
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• pp.488-495
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• 2009

This paper presents a fast feature extraction method for autonomous mobile robots utilizing parallel processing and based on OpenMP, SSE (Streaming SIMD Extension) and CUDA programming. In the first step on CPU version, the algorithms and codes are optimized and then implemented by parallel processing. The parallel algorithms are debugged to maintain the same level of performance and the process for extracting key points and obtaining dominant orientation with respect to key points is parallelized. After extraction, a parallel descriptor via SSE instructions is constructed. And the GPU version also implemented by parallel processing using CUDA based on the SIFT. The GPU-Parallel descriptor achieves an acceleration up to five times compared with the CPU-Parallel descriptor, but it shows the lower performance than CPU version. CPU version also speed-up the four and half times compared with the original SIFT while maintaining robust performance.

• Journal of the Korean Society of Food Science and Nutrition
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• v.28 no.3
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• pp.579-585
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• 1999

Proteins from the loin tissues age ranged from 0 to 24 months of ten Korean cattle were extracted, separated and compared on two dimensional(2 D) gels to identify the proteins whose expression is highly correlated to marbling. We also compared the difference of loin proteins between castrated and non castrated bull cows on two dimensional gels. As the marbling in the loin of the cattle is optimized at 18 to 24 months, eight proteins expressed significantly higher level in 24 month than in 0 or 6 month were selected in terms of isoelectric points(pIs) and molecular weights. Using these values, we searched the Swiss Prot database via the ExPASy molecular biology server with TagIdent program. The proteins with the nearest molecular weights and isoelectric points were selected from the lists. These possible candidates were confirmed by N terminal microsequencing of the eight selected proteins. Three proteins, myoglobin, hemoglobin and ATPase, whose N termini were not blocked could be microsequenced and found to be exactly matched to the selected candidates. It is suggested that the proteins increasingly expressed in marbling periods can be involved in meat color, lipid transport and flavor improvement.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.1 no.1
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• pp.72-74
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• 1983

Traditionally, polynomials have been used to approximte functions with prescribed values at a number of points(called the knots) on a given interal on the real line. The method of splines recently developed is more flexible. It approximates a function in a piece-wise fashion, by means of a different polynomial in each subinterval. The cubic spline gas ets origins in beam theory. It possessed continuous first and second deriatives at the knots and is characterised by a minimum curvature property which es rdlated to the physical feature of minimum potential energy of the supported beam. Translated into mathematical terms, this means that between successive knots the approximation yields a third-order polynomial sith its first derivatives continuous at the knots. The minimum curvature property holds good for each subinterval as well as for the whole region of approximation This means that the integral of the square of the second derivative over the entire interval, and also over each subinterval, es to be minimized. Thus, the task of determining the spline lffers itself as a textbook problem in discrete computer programming, since the integral of ghe square of the second derivative can be obviously recognized as the criterion function whicg gas to be minimized. Starting with the initial value of the function and assuming an initial solpe of the curve, the minimum norm property of the curvature makes sequential decision of the slope at successive knots (points) feasible. It is the aim of this paper to derive the cubic spline by the methods of computer programming and show that the results which is computed the all the alues in each subinterval of the spline approximations.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.13 no.2
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• pp.235-241
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• 2006

Purpose: The purpose of this study was to evaluate the effect of a six month web-based diabetic education on plasma glucose in people with diabetes. Method: A randomized design with control and experimental groups being assessed pre- and post-intervention was used. Seventeen patients were randomly assigned to a control group and 18 to an experimental group. Participants were requested to input the blood glucose level weekly to http://www.biodang.com by cellular phone or wire Internet for 6 months. The researcher sent optimal recommendations to each patient using the short message service (SMS) for cellular phone and wire Internet. Messages were sent weekly for 6 months. Results: Glycosylated hemoglobin ($HbA_1c$) decreased 1.5 percentage points at 3 months and 1.4 percentage points at 6 months compared with baseline in the intervention group. Patients in the intervention group had a decrease in 2 hours post meal glucose (2HPMG) of 94.3mg/dl at 3 months and 82.5mg/dl at 6 months compared with baseline. Conclusion: This web-based intervention using SMS for cellular phone improved HbAlc, and 2HPMG for six months in patients with type 2 diabetes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3599-3619
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• 2019

In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.