• Journal of Veterinary Clinics
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• v.19 no.2
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• pp.125-131
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• 2002

The present experiment was performed in order to know the therapeutic effect of laserpuncture and aquapuncture with methionine on recovery in artificially induced hepatic damaged rats by carbon tetrachloride. The animals were divided into control, laserpuncture and aquapuncture groups. The changes of serum enzyme activities(ALT and AST), serum total protein contents, protein fractions(ALB and GLB) and A/G ratio were examined before and after application of laserpuncture and aquapuncture. In change of serum ALT activity, recovery with treatment in laser and aquapuncture groups was more rapid than that of control. The significant decreased value was shown on 3rd(P < 0.05) and 7th day(P < 0.01) after treatment in laserpuncture group and on 7th day(P < 0.05) after treatment in aquapuncture group. In addition, significance was detected on 2nd day(P < 0.05) between laserpuncture and aquapuncture groups. In change of serum AST activity, recovery with treatment in laserpuncture and aquapuncture groups was more rapid than that of control. The significant lower values on 7th day(P<0.01) in aquapuncture groups. In addition, significant low value was detected on 7th day(P < 0.05) in aquapuncture group comparing with that of laserpuncture group. The change of serum TP contents showed similar pattern in control, laser and aquapuncture groups. The significances were detected on 7th day(P < 0.05) in both experimental groups. In addition, significant high value was detected on 2nd day(P < 0.05) in laserpuncture group comparing with that of aquapuncture group. The change of serum ALB content with treatment in laser and aquapuncture groups was more rapid than that of control. The significant high value was shown on 2nd(P < 0.01), 5th(P < 0.05) and on 7th day(P < 0.01) in laserpuncture group. In addition, significant high value was detected on 3rd day(P<0.01) only in aquapuncture group comparing with laserpuncture group. The change of serum GLB content showed similar pattern among groups. The significant low values were detected on 2nd day(P < 0.05) in aquapuncture group. In addition significant high value was detected on 5th day(P < 0.01) only in laserpuncture group comparing with that of aquapuncture group. In change of A/G ratio laser and aquapuncture groups showed higher values than that of control. The significant high values were detected on 1st day(P < 0.Of) and 2nd day(P < 0.05) in laserpuncture group, and on 1st day(P < 0.05) and 2nd day(P < 0.01) in aquapuncture group. In addition, significant high value was detected on 5th day(P < 0.05) in aquapuncture group comparing with that of laserpuncture. Considering above findings collectively, it was considered that both laserpuncture and aquapuncture were effective; aquapuncture was more effective than laserpuncture for recovery of hepatic damage.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.179-187
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• 2022

The project performances can be measured in terms of meeting the project schedule, budget, and conformance to functional and technical specifications. Numerous studies have been conducted to examine the causes and effects of change orders for both vertical and horizontal construction, respectively. However, these studies mainly focus on a single project type, so this paper examines the impact of change order for cost growth and schedule overruns using four different building types to close the gap in the change order research area. A total of 211 building projects are collected from four building types: healthcare, residential, office, and education. Statistical analyses using ANOVA tests and linear regression models are used to examine the created metric $CO/day on the cost and schedule impacts. The results found that mean $CO/day values were not statistically different among building types, and that the sum of change orders is a statistically significant predictor of $CO/day. The results will help project stakeholders mitigate the negative change orders effects can be a challenge for project managers and researchers alike.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.75-78
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• 2003

This study is to present a method of land cover change detection by the typhoon RUSA (August 1 - September 4, 2002) using Landsat 7 ETM+ images. For the Namdae-cheon watershed in Gangreung, two images of Sept. 29, 2000 and Nov. 22, 2002 were prepared. To identify the damaged areas, firstly, the NDVI (Normalized Difference Vegetation Index) of each image was computed, secondly, the NDVI values were reclassified as two categories that the negative index values including zero are the one and the positive index values are the other, thirdly the reclassified image before typhoon is subtracted from the reclassified image after typhoon to get DNDVI (Differential NDVI). From the DNDVI image, the flooded and damaged areas could be extracted.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.4 no.1
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• pp.23-32
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• 1997

The change in moisture content of moisture sensitive products in moisture-semipermeable packages was investigated for the purpose of predicting the shelf life of a product-package combination. A mathematical model, and a computer program based on the physiochemical properties of the product and the moisture permeability of the package was developed. The moisture content for products in moisture-semipermeable packages was determined under various environmental conditions and the results were compared with the predicted values by means of the simulation model. These experimental studies demonstrated that the prediction of the change in moisture content of packaged products over time by the simulation model is accurate, within a practical range of temperature and relative humidity values. The developed semi-empirical model is considered to have applications in industry, since it provides product shelf life information for a range of temperature and relative humidity conditions, with a limited number of experimentally obtained data points.

• Korean Journal of Human Ecology
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• v.13 no.5
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• pp.701-709
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• 2004

A cultural model can change as times go by within one ethnic group. For example, a strong familism has existed for a long time throughout a history of Korea, but it is, just like most social values, now in the midst of a rapid change. Accordingly, Koreans' belief about family values and responsibility for supporting their old parents are changing, too. Especially, supporting parents was one of the highly-estimated traditional values, but it seems to no longer exist. However, one's own rearing experience might be a moderator of association of his or her familism with the ebbing value. Therefore, we aim to address the following research question: What is the relations among college student's familism, their own rearing experiences, and their beliefs about supporting old parents. A total of 155 college students participated in this study. Data were analyzed by SPSS. T-test and ANOVA were used for data analysis. The findings are that college students' beliefs in supporting parents are significantly influenced by their familism and rearing experiences: Those with a strong familism and warm rearing experience have solid beliefs in supporting parents.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.413-416
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• 1998

Sensitivity and calibration considerations are most important in the design and implementation of real control systems. Ideally parameter changes due to various causes should not appreciably affect the system's performances. But all the values of physical components of the plants and controllers as well as the relevant environmental conditions change in time, thus the output performance can be deteriorated during the operating span of the system. Naturally the duty of calibration or the prevention of performance deterioration due to excessive component sensitivity should be provided to the control system. In this paper, we propose a digital controller which has the capability of calibration and gain adjustment as well as the execution of control law. Specifically the problems of gain adjustment and offset calibration in the light source and CdS sensor module for position measurement in a flexible link system are considerably resolved. The parameters of measurement module are prone to change due to environmental brightness conditions resulting in poor steady state performance of the overall control system. Thus a proper method is necessary to provide correction to the changed values of gain and offset in the position measurement module. The proposed controller, whenever necessary, measures the open-loop characteristics, andthen calculates the offset and sensor gain correction values based on the prepared standard measurements. It is applied to the control of a flexible link system with the gain and offset calibration porblems in the light sensor module for position to show the applicability.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.457-469
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• 2003

In this paper, we have proposed the efficient algorithm that can segment the video scene change using a various statistical characteristics obtained from by applying the wavelet transformation for each frames. Our method firstly extracts the histogram features from low frequency subband of wavelet-transformed image and then uses these features to detect the abrupt scene change. Second, it extracts the edge information from applying the mesh method to the high frequency subband of transformed image. We quantify the extracted edge information as the values of variance characteristic of each pixel and use these values to detect the gradual scene change. And we have also proposed an algorithm how extract the proper key frame from segmented video scene. Experiment results show that the proposed method is both very efficient algorithm in segmenting video frames and also is to become the appropriate key frame extraction method.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.402-404
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• 2003

We present two methods for the automatic selection of the threshold values in unsupervised change detection. Both methods consist of the same two procedures: 1) to determine the parameters of Gaussian mixtures from a difference image or ratio image, 2) to determine threshold values using the Bayesian rule for minimum error. In the first method, the Expectation-Maximization algorithm is applied for estimating the parameters of the Gaussian mixtures. The second method is based on the iterative thresholding that successively employs thresholding and estimation of the model parameters. The effectiveness and applicability of the methods proposed here are illustrated by an experiment on the multi-temporal KOMPAT-1 EOC images.

• Journal of the Korean Operations Research and Management Science Society
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• v.12 no.1
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• pp.19-26
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• 1987

In analyzing time series, estimating the level or the current mean of the process plays an important role in understanding its structure and in being able to make forecasts. The studies the class of time series models where the level of the process is assumed to follow a random walk and the deviation from the level follow an ARMA process. The estimation and forecasting problem in a Bayesian framework and uses the Kalman filter to obtain forecasts based on estimates of level. In the analysis of time series, we usually make the assumption that the time series is generated by one model. However, in many situations the time series undergoes a structural change at one point in time. For example there may be a change in the distribution of random variables or in parameter values. Another example occurs when the level of the process changes abruptly at one period. In order to study such problems, the assumption that level follows a random walk process is relaxed to include a major level change at a particular point in time. The major level change is detected by examining the likelihood raio under a null hypothesis of no change and an alternative hypothesis of a major level change. The author proposes a method for estimation the size of the level change by adding one state variable to the state space model of the original Kalman filter. Detailed theoretical and numerical results are obtained for th first order autoregressive process wirth level changes.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.199-207
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• 2023

Trend Impact Analysis is a prominent hybrid method has been used in future studies with a modified surprise- free forecast. It considers experts' perceptions about how future events may change the surprise-free forecast. It is an advanced forecasting tool used in futures studies for identifying, understanding and analyzing the consequences of unprecedented events on future trends. In this paper, we propose an advanced mechanism to generate more justifiable estimates to the probability of occurrence of an unprecedented event as a function of time with different degrees of severity using adaptive neuro-fuzzy inference system (ANFIS). The key idea of the paper is to enhance the generic process of reasoning with fuzzy logic and neural network by adding the additional step of attributes simulation, as unprecedented events do not occur all of a sudden but rather their occurrence is affected by change in the values of a set of attributes. An ANFIS approach is used to identify the occurrence and severity of an event, depending on the values of its trigger attributes.