• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.374-388
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• 2022

Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.

• Journal of Korean Society on Water Environment
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• v.26 no.5
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• pp.822-833
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• 2010

Temperature increase due to climate changes causes change of water temperature in rivers which results in change of water quality etc. and the change of river ecosystem has a great impact on human life. Analyzing the impact of current climate changes on air and water temperature is an important thing in adapting to the climate changes. This study examined the effect of climate changes through analyzing air temperature trend for Nakdong river basin and analyzed the elasticity of air-water temperature to understand the effect of climate changes on water temperature. For analysis air temperature trend, collecting air temperature data from the National Weather Service on main points in Nakdong river basin, and resampling them at the units of year, season and month, used as data for air temperature trend analysis. Analyzing for elasticity of air-water temperature, the data were collected by the Water Environment Information system for water temperature, while air temperature data were collected at the National Weather Service point nearest in the water temperature point. And using the results of trend analysis and elasticity analysis, the effect of climate changes on water temperature was examined estimating future water temperature in 20 years and 50 years after. It is judged that analysis on mutual impact between factors such as heat budget, precipitation and evapotranspiration on river water temperature affected by climate changes and river water temperature is necessary.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1330-1339
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• 2023

In order to verify whether the serum using the medicinal plant Coptis japonica is effective in anti-aging of the skin, the improvement rate was analyzed by measuring the skin elasticity and radiance of the subjects, and the satisfaction was evaluated through a questionnaire. Twenty-two female subjects were given a serum containing 3% Coptis Japonica extract on one cheek for 4 weeks, and the test site was measured, and the skin elasticity increased by 5.73% from 0.8505 ± 0.0395 R2 (mm) before use to 0.8993 ± 0.0234 R2 (mm) after 4 weeks. Skin glow increased by 4.74% from 55.94 ± 5.49 (a.u.) to 58.59 ± 4.66 (a.u.), and the probability of significance was p<0.001, indicating a significant increase in the improvement rate of both items. It was found that all subjects were 100% satisfied with the improvement of elasticity and 95.5% satisfied with the improvement of radiance, and no skin abnormalities were found during the trial period. These results are expected to be used as basic data for future research and product development of anti-aging functional cosmetics using Coptis Japonica extract.

• Health Policy and Management
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• v.9 no.4
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• pp.65-86
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• 1999

In this study, we investigate the welfare effect of mandatory prescription(MP) in Korea. An immediate effect of MP is the increase in the implicit price of prescribed medicine, which could be obtained easily from drug stores before MP. This will lower the quantity demanded. which will in turn reduce the abuse of drugs. The key to the cost-benefit analysis of MP, therefore, should be focused on this point; price increase in the cost side and quantity decrease in the benefit side. Since we do not have as much information as needed for the analysis, however, we made strong assumptions for the clarity of numbers; the severity of moral hazard of medical doctors related to the sales of hospital drugs, constant demand elasticity, constant benefit multiplier of reduced drug usage, and so on, With these rather strong assumptions, we find that i) the benefit side is much more sensitive to demand elasticity than the cost side effect ii) the larger the demand elasticity, the greater the size of net gain of MP, though the result depends on the size of the benefit multiplier. This analysis shows that we need to have more information on the specific institutional path of health benefit diffusion caused by the reduction of drug usage, which was the major target of MP.

• Environmental and Resource Economics Review
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• v.22 no.2
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• pp.251-279
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• 2013

Prices of oil products such as gasoline and diesel are deregulated since 1997 while electricity price is still controlled by government. This difference may explain recent discrepancy in the patterns of demand for oil products and electricity - constant increase in electricity consumption and stagnant demand for oil. To verify it empirically, we estimate price and income (production) elasticity of demand across time by using a rolling regression with 10 year-window based on monthly data for 1981-2011. Estimation results show that the sensitivity to price in demand for gasoline and diesel has increased since mid-90s while the elasticity of demand for electricity has become smaller. Second, income (production) elasticities of demand have shown no significant changes for both oil products and electricity. Third, cross-price elasticity was found meaningful only for gasoline before mid 1990s and for diesel after then.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.371-380
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• 2007

Objectives: To determine the impact of cigarette prices on the decision to initiate and quit smoking by taking into account the interdependence of smoking and other behavioral risk factors. Methods: The study population consisted of 3,000 male Koreans aged ${\ge}20$. A survey by telephone interview was undertaken to collect information on cigarette price, smoking and other behavioral risk factors. A two-part model was used to examine separately the effect of price on the decision to be a smoker, and on the amount of cigarettes smoked. Results: The overall price elasticity of cigarettes was estimated at -0.66, with a price elasticity of -0.02 for smoking participation and -0.64 for the amount of cigarettes consumed by smokers. The inclusion of other behavioral risk factors reduced the estimated price elasticity for smoking participation substantially, but had no effect on the conditional price elasticity for the quantity of cigarettes smoked. Conclusions: From the public health and financial perspectives, an increase in cigarette price would significantly reduce smoking prevalence as well as cigarette consumption by smokers in Korea.

• Fire Science and Engineering
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• v.29 no.1
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• pp.1-6
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• 2015

In this study, the damages of high strength concrete exposed to high temperature have been evaluated by the impact echo method. Elastic wave velocity and dynamic modulus of elasticity were measured by the impact echo method, and the compressive strength and the static modulus of elasticity were measured by the compression testing method after exposure to high temperature. The results showed that elastic wave velocity has a linear correlation with the compressive strength and dynamic modulus of elasticity has a linear correlation with static modulus of elasticity. Based on results, it is concluded that the impact echo method can be effectively applied to evaluate the mechanical properties of fire damaged high strength concrete.

• Journal of Sasang Constitutional Medicine
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• v.24 no.3
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• pp.60-68
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• 2012

Objectives Sasang Constitution (SC) is determined by various physical and psychological attributes. Recently, skin properties have been used effectively to describe SC types in clinics. In this paper, we investigated the constitution dependence of skin elasticity and skin perspiration by using quantitative measurement devices. Methods The skin elasticity of forearm and the skin perspiration of forehead and philtrum were measured in 223 elderly female subjects. To determine the subject's constitution, we adopted the classification results from a newly developed diagnostic tool. For the clarity of constitution, we excluded low-scored subjects in their SC classification. Results & Conclusions As a result, the elasticity hysteresis of forearm (EHFa) of Taeum-in group was significantly less than the EHFa of Soeum-in group. Soeum-in group has high perspiration difference between philtrum and forehead (Diff.PhFh) compared to Taeum-in group in a significance level of .05. Taeum-in and Soeum-in group were significantly classified by EHFa and Diff.PhFh using a Support Vector Machine.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.3
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• pp.145-153
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• 2021

Purpose : The purpose of this study was to compare and analyze whether there are changes in muscle elasticity when resistance using an elastic band is present or absent during a bridge exercise on an unstable surface with a gymball. Methods : Eighteen healthy adult college students attending E University in Gyeonggi-do, who voluntarily agreed to participate were included in this study. The subjects were instructed to perform the bridge exercise using a gymball both without resistance and with resistance using an elastic band. Myoton was used during the exercise to measure the elasticity of the rectus abdominis and biceps femoris muscles. Results : There was a significant difference in the stiffness of the rectus abdominis muscle on both sides before and after using the elastic band (p<.05). however, no significant difference was observed in the biceps femoris on either side (p>.05). Based on the evaluation of the frequency before and after using the elastic band, no significant difference was observed between the rectus abdominis and biceps femoris muscles on both sides (p>.05). The logarithmic decrement was significantly different in the right rectus abdominis muscle (p<.05), and there was no significant difference in the left rectus abdominis and both biceps femoris (p>.05). Conclusion : Resistance exercise using an elastic band is more effective in improving elasticity of the rectus abdominis muscle than without a elastic band during bridge exercise with a gymball.

• Journal of Biomedical Engineering Research
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• v.32 no.2
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• pp.158-164
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• 2011

Breast cancer is the most frequently appearing cancer in women, these days. To reduce mortality of breast cancer, periodic check-up is strongly recommended. X-ray mammography is one of powerful diagnostic imaging systems to detect 50~100 um micro-calcification which is the early sign of breast cancer. Although x-ray mammography has very high spatial resolution, it is not easy yet to distinguish cancerous tissue from normal tissues in mammograms and new tissue characterizing methods are required. Recently ultrasound elastography technique has been developed, which uses the phenomenon that cancerous tissue is harder than normal tissues. However its spatial resolution is not enough to detect breast cancer. In order to develop a new elastography system with high resolution we are developing x-ray elasticity imaging technique. It uses the small differences of tissue positions with and without external breast compression and requires an algorithm to detect tissue displacement. In this paper, computer simulation is done for preliminary study of x-ray elasticity imaging. First, 3D x-ray breast phantom for modeling woman's breast is created and its elastic model for FEM (finite element method) is generated. After then, FEM experiment is performed under the compression of the breast phantom. Using the obtained displacement data, 3D x-ray phantom is deformed and the final mammogram under the compression is generated. The simulation result shows the feasibility of x-ray elasticity imaging. We think that this preliminary study is helpful for developing and verifying a new algorithm of x-ray elasticity imaging.