• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.291-306
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• 1999

Health promotion has come to the fore through new concept approach in consequence of the increase of chronic diseases. increase of medical cost and social trend of putting more emphasis on the individual responsibility for health. Studies of health promotion can be classified into two types: one is micro intervention method which is mainly focused on modifying individual life style and the other. macro intervention method in which they put another emphasis on the environment the individual is surrounded. in addition to modifying individual life style. This study belongs to the later. This study aims to develop nursing activities and program it for the purpose of community health promotion. The process of the study can be briefed as follows: to draw out nursing contents to intervene for community health promotion: to promote community health to develop nursing action indicators; to develop nursing action indicators for the development of main nursing activities. And those developed nursing activities are programmed systematically. The community health promotion program is composed of a hierarchical structure with nursing process that the nurses are supposed to apply to perform professional nursing. the level of nursing perform. the main items of nursing process. health promotion nursing indicators. health promotion nursing activities. The conclusion of this study according to objectives are as follows. First. community health promotion contents at individual and community level are remained revised and complemented and those at organizational level are developed. The developed main contents of community health promotion nursing are as follows. 1) Revised individual level nursing contents: 35 items. 2) Developed organizational level nursing contents: 24 items. 3) Revised community level nursing contents: 36 items. Second. for the development of the health promotion nursing action indicators. principles were set up and applied as follows. 1. Developed indicators should be provided with such qualities as comprehensiveness. diversity. developability, availability. practicability. 2. Developed indicators should be provided with functional abilities to measure the conditions and changes in any phenomena or state. inspect the development of the states. control the implementing program. evaluate the result of program and grasp what nurses should do. 3. Developed indicators should be provided with relevance and sequence. 4. Developed indicators should be undergo inspections from the expert. The developed community health promotion action indicators developed in this study. observing above mentioned principles. are total 330 indicators of 95 items. Third. when the main nursing activities were developed for each nursing action indicator. five priciples were set up in accordance with each nursing action indicators to decide main nursing activities. Main nursing activities developed observing those principles. are total 1273. Forth. for the programming of the developed nursing activities. three principles were set up. 1. The nursing activities are systematized in line with (nursing process) (nursing client) (key items of nursing process) (nursing action indicators for health promotion) (nursing activities). 2. The program is constructed in downward and hierarchical order. 3. The program is constructed not in relation to same level activities but in relation to high and low level activities. The process step of programming of developed main health promotion nursing activities are; Step 1. The Developed nursing action indicators are classified into nursing process. Step 2. The main nursing activities are allocated per each nursing action indicators. Step 3. The statement of main nursing activities are inspected. Step 4. The items of main nursing activities allocated by a certain nursing action indicators are sequenced. taking into consideration the elaborateness of activity. the sequency of activity. familiarity of activity. the difficulty of activity. the interest of activity. the frequency of activity. Step 5. The whole developed program should undergo comprehensive and critical inspections.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.5
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• pp.542-554
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• 1997

In this paper, we present a resource conscious approach to designing distributed real-time systems as an extension of our original approach [8][9] which was limited to single processor systems. Starting from a given task graph and a set of end-to-end constraints, we automatically generate task attributes (e.g., periods and deadlines) such that (i) the task set is schedulable, and (ii) the end-to-end timing constraints are satisfied. The method works by first transforming the end-to-end timing constraints into a set of intermediate constraints on task attributes, and then solving the intermediate constraints. The complexity of constraint solving is tackled by reducing the problem into relatively tractable parts, and then solving each sub-problem using heuristics to enhance schedulability. In this paper, we build on our single processor solution and show how it can be extended for distributed systems. The extension to distributed systems reveals many interesting sub-problems, solutions to which are presented in this paper. The main challenges arise from end-to-end propagation delay constraints, and therefore this paper focuses on our solutions for such constraints. We begin with extending our communication scheme to provide tight delay bounds across a network, while hiding the low-level details of network communication. We also develop an algorithm to decompose end-to-end bounds into local bounds on each processor of making extensive use of relative load on each processor. This results in significant decoupling of constraints on each processor, without losing its capability to find a schedulable solution. Finally, we show, how each of these parts fit into our overall methodology, using our previous results for single processor systems.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.70-75
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• 1993

We represent a method of 3-D object recognition using multi images in this paper. The recognition process is executed as follows. Object models as prior knowledgement are generated and stored on a computer. To extract features of a recognized object, three CCD cameras are set at vertices of a regular triangle and take images of an object to be recognized. By comparing extracted features with generated models, the object is recognized. In general, it is difficult to recognize 3-D objects because there are the following problems such as how to make the correspondence to both stereo images, generate and store an object model according to a recognition process, and effectively collate information gotten from input images. We resolve these problems using the method that the collation on the basis of features independent on the viewpoint, the generation of object models as enumerating some candidate models in an early recognition level, the execution a tight cooperative process among results gained by analyzing each image. We have made experiments based on real images in which polyhedral objects are used as objects to be recognized. Some of results reveal the usefulness of the proposed method.

• Proceedings of the KSME Conference
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• 2001.11a
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• pp.603-608
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• 2001

A certain amount of MBS rubber was added to improve toughness of PVC which has a strong tendency of being brittle, producing a mixture, PVC/MBS, from which test specimens were prepared. PVC has strong chemical resistance, oil resistance, frame retardancy and high mechanical strength. Also, it is relatively inexpensive to produce, but shows weakness to impact and difficult for processing. MBS, a typical toughening agent for PVC is generally known, when added in a small amount, to improve impact resistance and to minimize difficulties during the processing of the PVC without adversely affecting the positive aspects of the PVC. In this investigation, attempts were made to observe and determine the variations in elastic and damping constants of the PVC depending on the amounts of MBS added to the mixture, PVC/MBS, and also on the thicknesses of the specimens. An acoustic resonance technique was used for the tests in this investigation. It serves as a method to characterize properties of materials set in vibrational motions, which is initiated by low level stresses generated by externally supplied acoustic energy. Substantial variations were observed in the test results with the addition of the MBS to the PVC. Generally, the magnitudes of elastic constants decrease while the damping capacity improves when MBS rubber was added.

• Journal of the Korean Society for Precision Engineering
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• v.18 no.9
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• pp.179-185
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• 2001

In this study, a visual sensor system for weld seam tracking the I-butt weld joints in GMA welding was constructed. The sensor system consists of a CCD camera, a diode laser with a cylindrical lens and a band-pass-filter to overcome the degrading of image due to spatters and arc light. In order to obtain the enhanced image, quantitative relationship between laser intensity and iris number was investigated. Throughout the repeated experiments, the shutter speed was set at 1-milisecond for minimizing the effect of spatters on the image, and therefore most of the spatter trace in the image have been found to be reduced. Region of interest was defined from the entire image and gray level of searched laser line was compared to that of weld line. The differences between these gray levels lead to spot the position of weld joint using central difference method. The results showed that, as long as weld line was within $^\pm$15$^\circ$from the longitudinal straight fine, the system constructed in this study could track the weld line successful1y. Since the processing time reduced to 0.05 sec, it is expected that the developed method could be adopted to high speed welding such as laser welding.

• Journal of Global Scholars of Marketing Science
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• v.17 no.4
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• pp.175-199
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• 2007

The linear regression method was used to model the relationship among a set of perceptions regarding to the importance of physical exercise and the perceived value of physical exercise (as a leisure activity) for aging baby boomers. In terms of a pilot study, we developed two alternative models tested at two different convenience samples. The first sample consisted of 82 aging baby boomers aged 55.65 (sample 1) and the second one consisted of 458 citizens aged 18.45 (sample 2). Through this research approach, we intended to lead to a better understanding of perceived value of physical exercise in the sporting goods marketing context for aging baby boomers. We addressed the core research themes of our study using a convenience survey. Data was collected by means of face to face interviews during the seven week period. The research results showed that the "model 2" better predicts perceived value of physical exercise as a leisure activity for aging baby boomers. We believe that the final findings of our research try can recognize the differences in buying behaviors between aging baby boomers and other target markets and advance marketers of sporting goods strategic tries regarding to consumer strategy management at a store level.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.24 no.6
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• pp.381-389
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• 2012

An EST-based method which is applicable for estimating extreme sea levels from short sea-level records in a tide dominated coastal zone was developed. Via the method, annual maximum tidal level is chosen from the simulated 1-yr tidal data which are constituted by the independent daily high water levels, short term and long term surge heights and typhoon-induced surge heights. The high water levels are generated considering not only spring/neap tides and annual tide but also 18.6-year lunar nodal cycle. Typhoon-induced surges are selected from the training set which is constructed by observed or simulated surge heights. This yearly simulation is repeated many hundred years to yield the extreme tidal levels, and the whole process is carried out many hundred times repeatedly to get robust statistics of the levels. In addition, validation of the method is also shown by comparing the result with other researches with the tidal data of Mokpo Harbor.

• Korean Journal of Applied Biomechanics
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• v.30 no.1
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• pp.111-119
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• 2020

Objective: The purpose of this study is to apply exercise learning effect to various subjects through training effect and information accumulation based on verification of the effect on dumbbell curl exercises applied with virtual reality. Method: To analyze the effect on the dumbbell curl exercise in the virtual environment, a total of 20 persons with 10 males and 10 females who does not have orthopedics diseases were selected. The dumbbell weight of the subjects was set to a weight of 70% strength of 1RM. At this time, the virtual environment situation was set to four types; presence/absence of virtual environment, preferred colors, and unfavorable colors to perform dumbbell curl exercise. The anaysis of muscle activity was conducted by adhering four surface electrodes (Biceps Brachii, Triceps Brachii, Brachioradialis Muscle, Extensor Carpi Radialis Longus Muscle) on the right upper limbs. Independent sample t-test using SPSS (24.0) program was carried out to analyze average values and standard deviations for each variable depending on the presence/absence of virtual environments and changes in color (preferred colors, unfavorable colors) and the level of significance was set to a=.05. Results: In the eccentric contraction, males showed high muscle activity in the Biceps Brachii under virtual reality. On the other hand, females had high muscle activity in the Biceps Brachii in the absence of virtual reality. Also, in case of a change of colors in the virtual environment, females had the high muscle activity in the unfavorable color in the eccentric contraction. Conclusion: During the dumbbell curl exercise, results of different exercises present depending on gender. When males put VR on and performs a basic dumbbell curl exercise, the effect of Biceps presents Brachii for them while exercising in unfavorable colors. However, since it is the basic research data of muscle exercise using virtual reality, it is necessary to verify whether or not it is effective for myopachynsis through long-term training rather than unity.

• Korean Journal of Remote Sensing
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• v.15 no.1
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• pp.39-50
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• 1999

It is complicate and time-consuming process to classify a multi-band satellite imagery according to the application. In addition, classification rate sensitively depends on the selection of training data set and features in a supervised classification process. This paper introduced a classification network adopting a fuzzy-based $\gamma$-model in order to select a training data set and to extract feature which highly contribute to an actual classification. The features used in the classification were gray-level histogram, textures, and NDVI(Normalized Difference Vegetation Index) of target imagery. Moreover, in order to minimize the errors in the classification network, the Gradient Descent method was used in the training process for the $\gamma$-parameters at each code used. The trained parameters made it possible to know the connectivity of each node and to delete the void features from all the possible input features.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1049-1059
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• 2019

We propose a learning-based image segmentation algorithm. Starting from super-pixels, our method learns the probability of merging two regions based on the ground truth made by humans. The learned information is used in determining whether the two regions should be merged or not in a segmentation stage. Unlike exiting learning-based algorithms, we use both local and object information. The local information represents features computed from super-pixels and the object information represent high level information available only in the learning process. The object information is considered as privileged information, and we can use a framework that utilize the privileged information such as SVM+. In experiments on the Berkeley Segmentation Dataset and Benchmark (BSDS 500) and PASCAL Visual Object Classes Challenge (VOC 2012) data set, out model exhibited the best performance with a relatively small training data set and also showed competitive results with a sufficiently large training data set.