• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1892-1912
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• 2022

With the massive demand and growth of cloud computing, virtualization plays an important role in providing services to end-users efficiently. However, with the increase in services over Cloud Computing, it is becoming more challenging to manage and run multiple Virtual Machines (VMs) in Cloud Computing because of excessive power consumption. It is thus important to overcome these challenges by adopting an efficient technique to manage and monitor the status of VMs in a cloud environment. Reduction of power/energy consumption can be done by managing VMs more effectively in the datacenters of the cloud environment by switching between the active and inactive states of a VM. As a result, energy consumption reduces carbon emissions, leading to green cloud computing. The proposed Efficient Dynamic VM Scheduling approach minimizes Service Level Agreement (SLA) violations and manages VM migration by lowering the energy consumption effectively along with the balanced load. In the proposed work, VM Scheduling for Efficient Dynamically Migrated VM (VMS-EDMVM) approach first detects the over-utilized host using the Modified Weighted Linear Regression (MWLR) algorithm and along with the dynamic utilization model for an underutilized host. Maximum Power Reduction and Reduced Time (MPRRT) approach has been developed for the VM selection followed by a two-phase Best-Fit CPU, BW (BFCB) VM Scheduling mechanism which is simulated in CloudSim based on the adaptive utilization threshold base. The proposed work achieved a Power consumption of 108.45 kWh, and the total SLA violation was 0.1%. The VM migration count was reduced to 2,202 times, revealing better performance as compared to other methods mentioned in this paper.

• 한국수산과학회지
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• 제57권1호
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• pp.32-40
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• 2024

The aim of this research was to apply a method designed to derive the factors influencing total ammonia removal when operating an additional pretreatment system at Aquaponics. The Box-Behnken method, among response surface analysis methods was used to characterize and determine the optimal nitrification conditions when operating the pretreatment system. Among the mathematically and statistically calculated prediction equations, the total ammonia nitrogen concentration Y1 measured on day 8 was derived as Y₁=-195.8+2.23X₁+42.9X₂+47.5X₃+0.1856X₁²-1.380X₁X₂-1.770X₁X₃, and the time taken to reach the maximum total ammonia nitrogen concentration during the experiment period was derived as Y₂=271-5.04X₁+60.5X₂-64.8X₃+0.1654X₁²+6.54X₃²-0.600X₁X₃-9.00X₂X₃. The coefficients of determination of the regression models of Y₁ and Y₂ were 93.99% and 94.46%, respectively. The modified coefficients of determination were also high, at 89.48% and 88.91%, respectively. The prediction coefficients of determination of Y₁ and Y₂, were 70.68% and 62.11%, respectively, which was relatively lower than that of Y1, but still indicated a reliable prediction performance.

• 대한의용생체공학회:의공학회지
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• 제22권1호
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• pp.49-58
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• 2001

본 연구에서는 진자 실험을 통하여 중추신경계 질환인 경직을 정량적으로 판정할 수 있는 새로운 LCL(Logically Classified Level) 척도(scale)가 개발되었다. 새로운 척도개발에는 총 30개의 변수가 사용되었다. 이를 위하여 실험결과의 통계적 분석이 수행되었고 이들 중 진자 실험에서 경직의 특성이 가장 잘 반영되는 변수가 대표변수로 선정되었다. 사용된 30개의 변수 중 20개는 새로 도출된 변수이며 10개는 선행된 연구자들에 의하여 개발된 변수이다. 새로운 20개의 변수들은 진자 실험에서 발생되는 특성들인 각도, 각속도, 근육 모델, EMG가 고르게 반영될 수 있도록 이들의 조합으로 도출되었다. 이변량 상관분석결과 총 30개의 변수들 중 11개의 변수들은 서로 밀접한 상관성이 있음이 파악되었다. 11개의 서로 강한 상관성을 보이는 변수 중 논리적인 모순이 없는 L11이 대표변수로 선택되었다. 28명의 환자 데이터는 대표변수인 L11를 기준으로 4개의 그룹으로 분리되었고 최종으로 이들 그룹의 경향을 예측할 수 있는 회귀 방정식을 유도하였다. 새로운 척도에 사용된 대표변수인 L11은 환자들에게서 나타날 수 있는 여러 경우에 적합한지 검토되었는데 미소한 환자의 상태까지 잘 반영하고 있음이 드러났다. 따라서 새로운 LCL 척도는 기존의 준 정량적인 척도인 MAS(Modified Ashworth Scale)를 대체할 수 있을 것으로 기대된다. 특히 환자의 초기 진단뿐만 아니라 동일한 환자의 치료전후, 병적 호전에 대하여 정밀하게 파악할 수 있어 약물의 처방량 조절, 치료기간 등 치료의 전략에 사용될 수 있을 것으로 기대된다.

• 한국자원식물학회지
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• 제27권4호
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• pp.286-292
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• 2014

황금에 함유된 baicalin, baicalein 및 wogonin 함량을 근적외선분광분석기(NIRS)로 비파괴적으로 신속하게 할 수 있는 방법을 개발하였다. 황금 유전자원 63종을 대상으로 NIRS로 400~2,500 ㎚ 파장범위를 scan한 후 물리적 영향에 의한 바탕선 변화 등의 오차를 줄이고 겹쳐있는 파장을 분리하기 위하여 미분법 등을 이용한 수처리를 하였다. 수처리 후 몇 가지 회귀분석법을 이용하여 검량식을 작성한 결과 MPLS 회귀법이 황금의 유용성분을 분석하기에 적당하였으며, MPLS 회귀분석법에 의한 검량식의 baicalin, baicalein, wogonin 함량은 HPLC로 분석된 황금의 성분함량과의 상관값에서 각각 0.958, 0.944, 0.709로 나타났다. 이렇게 작성된 검량식을 이용하여 validation set에서 상관관계를 분석한 바 baicalin 함량은 0.853, baicalein은 0.895의 상관치를 보여 황금의 baicalin 및 baicalein 함량은 NIRS로 분석이 가능한 것으로 판단되었다. 한편, wogonin 함량에 대한 validation set의 결과는 0.489로 나타나 NIRS 검량식을 wogonin의 정량분석에 바로 이용하기에는 부적당하였다.

• 한국측량학회지
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• 제38권6호
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• pp.573-581
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• 2020

CCTV영상과 날씨 정보를 이용하여 미세먼지 농도를 추정하는 기법을 제안하고, 이에 대한 실험을 진행하였다. CCTV영상에 대해서는 특정 지점을 포함하는 일부 영역 영상과, 전체 영역 영상을 가지고 합성곱 신경망 (CNN)기반의 딥러닝 기법을 적용하여 PM 지수를 추정하는 방법을 제안하였다. 추가로 딥러닝에 의해서 예측된 결과 값을 습도 및 풍속 두 가지 날씨 특성과 결합한 뒤, 학습 된 회귀 모델을 사용하여 수정된 미세먼지 지수를 계산하는 후처리 실험도 함께 진행하였다. 실험 결과, CCTV영상으로부터 미세먼지 지수 추정 값은 R2가 0.58~0.89를 나타내었고, 측정기가 설치된 일부 영역 영상과 전체 영역 영상을 함께 학습시킨 결과가 가장 우수하였다. 기상변수를 이용한 후처리 적용결과는 실험지역의 모든 경우에 대하여 항상 정확도 향상을 보여주진 않았다.

• 대한의용생체공학회:의공학회지
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• 제43권1호
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• pp.19-26
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• 2022

The Comprehensive in vitro Proarrhythmic Assay(CiPA) project was launched for solving the hERG assay problem of being classified as high-risk groups even though they are low-risk drugs due to their high sensitivity. CiPA presented a protocol to predict drug toxicity using physiological data calculated based on the in-silico model. in this study, features calculated through the in-silico model are analyzed for correlation of changing action potential in the near future, and features are verified through predictive performance according to drug datasets. Using the O'Hara Rudy model modified by Dutta et al., Pearson correlation analysis was performed between 13 features(dVm/dtmax, APpeak, APresting, APD90, APD50, APDtri, Ca_peak, Ca_resting, CaD90, CaD50, CaDtri, qNet, qInward) calculated at 100 pacing, and between dVm/d_{tmax_repol} calculated at 1,000 pacing, and linear regression analysis was performed on each of the 12 training drugs, 16 verification drugs, and 28 drugs. Indicators showing high coefficient of determination(R²) in the training drug dataset were qNet 0.93, AP resting 0.83, APDtri 0.78, Ca resting 0.76, dVm/dt_max 0.63, and APD90 0.61. The indicators showing high determinants in the validated drug dataset were APDtri 0.94, APD90 0.92, APD50 0.85, CaD50 0.84, qNet 0.76, and CaD90 0.64. Indicators with high coefficients of determination for all 28 drugs are qNet 0.78, APD90 0.74, and qInward 0.59. The indicators vary in predictive performance depending on the drug dataset, and qNet showed the same high performance of 0.7 or more on the training drug dataset, the verified drug dataset, and the entire drug dataset.

• Journal of Animal Science and Technology
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• 제48권6호
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• pp.759-766
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• 2006

본 연구는 농협중앙회 가축개량사업소가 보유하고 있는 1998년부터 2005년까지 실시한 한우 당대검정 대상우 2,532두의 자료와 1996년부터 2002년까지 실시한 한우 후대검정 대상우 1,819두의 자료를 이용하여 당대 및 후대의 형질을 다형질 개체모형을 이용하여 유전모수를 추정하였다. 적합한 통계분석모형을 찾기 위하여 각 형질별로 회귀분석을 통한 변수선택방법으로 고정효과와 공변량을 결정하고, MTDFREML 패키지를 이용하여 유전모수를 추정하였다. 분석형질은 등지방두께, 도체중, 도체율, 등심단면적, 근내지방도 및 12개월령 체중으로, 이들의 유전력은 각각 0.51, 0.32, 0.27, 0.33, 0.50 및 0.26로 나타났다. 한편 유전평가에서 제외되었던 등지방두께 및 도체율의 유전력이 각각 0.51 및 0.27으로 추정되어 이에 대한 선발이 가능할 것으로 나타났다. 특히 등지방두께는 현 육량지수 산출식에서 그 영향력이 매우 크므로 한우보증씨수소 선발지수에 포함하는 방안을 고려할 필요가 있을 것으로 사료된다. 도체형질간의 유전상관은 등지방두께와 등심단면적을 제외하고 모두 양의 상관을 나타났다. 그러나, 12개월령 보정체중과 도체율 및 근내지방도의 유전상관은 각각 0.09 및 0.27으로 나타나 현행 한우개량체계에서 처럼 당대검정우를 12개월령 체중으로 선발할 경우 등심단면적과 근내지방도가 우수한 개체가 탈락할 가능성이 있는 것으로 나타나 이의 보완을 위한 혈통지수의 활용방안이나 초음파단층촬영기술의 이용방법에 대한 추가연구가 필요한 것으로 사료된다.

• 유통과학연구
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• 제11권6호
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• pp.67-80
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• 2013

Purpose - This study aims to establish the relationships among brand equity, brand attitudes, and Visual Merchandising (VMD) in bakery stores. The results will help bakery franchisees and franchisers in devising appropriate strategies for successfully managing their bakery shops. Research design, data, and methodology - The VMD model for bakery shops comprises harmony, attractiveness, suitability, pandemic, functionality, and reliability. Further, brand equity encompasses brand awareness, perceived quality, and brand image. In this study, the VMD factors of bakery shops are used as independent variables, while brand equity and brand attitude are used as dependent variables. This study aims to ascertain the extent of the influence VMD components of bakery shops have on brand equity and brand attitude. Regression analysis was used to verify those effects. The measurement items, deemed reliable and valid in a previous study, were modified for this study. Questionnaires were distributed to 500 consumers nationwide, of whom 340 were used for the sample. The SPSS 19.0 statistical program was used for the analysis. Results - First, among the VMD bakery shop components, harmony, attractiveness, and pandemic have a positive impact on brand equity (brand awareness and brand image). Second, amongst the VMD components of bakery shops, attractiveness, pandemic, and reliability have a positive impact on brand equity (perceived quality). Third, amongst the VMD components of bakery shops, harmony, attractiveness, and reliability have a positive impact on brand attitude. Fourth, brand equity (brand awareness, brand image, and perceived quality) have a positive effect on brand attitude. Conclusions - This study identifies the relationships between the VMD components of a bakery shop and brand equity and attitude in order to propose a new model. The study has several practical implications. First, the development of brand equity and management can be important components in bakery shops' determination of whether their VMD components have an impact on brand equity. Second, among VMD components, harmony and attractiveness have a positive influence on the choice of bakery shop, while reliability and pandemic have a partly positive influence on the choice of bakery shop. Therefore, store atmospheres should be attractively designed, and store menus and interiors should be reviewed periodically to conform to the latest trends. This study suggests marketing strategies for brand equity formation. First, providing collateral product quality, hygiene, and safety benefits as well as product offerings to complement the season and employees' services should be considered. Second, display methods, illumination designs, and new product ideas should be periodically reviewed. Third, these should complement the overall harmony of the interior and exterior and of the store atmosphere in order to be attractive. Funds should thus be dedicated specifically for the facilities and their interiors. Fourth, it is necessary to build a friendly and relaxed image that can be easily called to mind by the customers.

• 유통과학연구
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• 제13권10호
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• pp.101-108
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• 2015

Purpose - The convenience store business sector in South Korea has contributed to economic growth and job creation, and the growth potential of this market segment remains very high. In addition, service value is a more important factor than price in determining purchase intention. Research in the convenience store market is relatively very low compared to other retail sectors. In particular, research on service quality for the convenience of retailers who examine and analyze customer behavior and service quality factors used in the convenience store side of the situation is very inadequate. We have investigated the relationship of store service quality, service satisfaction, and store loyalty. In addition, we have examined the way service value moderates the relationship among these variables. Research design, data, and methodology - The questionnaire was developed using modified and supplementary questions based on the KD-SQS and RSQS models. The study suggested a theoretical model composed of 15 hypotheses on the relations between theoretic variables, and surveys conducted with consumers in discount stores in the Seoul and Gyunggi Metropolitan area in order to verify the hypotheses. We used the SPSS/PC statistical packages to analyze the results. The number of surveys used was 227. Moreover, a structural equating model was also used to analyze the reliability and validity of the composing elements and to verify the suggested hypotheses. Results - The overall results of this study are as follows. First, all service quality elements have a significant effect on service satisfaction. Second, all service quality elements have a significant effect on store loyalty. Third, service satisfaction has a significant effect on store loyalty. Finally, when the participants were divided into high and low service value the results of the multiple regression analyses showed that only the relationship between policy of service quality and satisfaction, and human interaction and policy of service quality and loyalty were significant. The implications are discussed based on the findings of the study. Conclusions - First, through direct hypotheses testing, we confirmed that the convenience service quality positively impacts the service satisfaction and loyalty of buyers. In particular, the reliability, origin benefit, and promotion were found to have more influence on satisfaction and loyalty of consumers of a convenience store. Further, for the service quality of the convenience for the consumer loyalty, greater human interaction was a high-value and statistically significantly higher than the degree of improvement in consumer loyalty. This underscores the importance of education and human services management of employees working in a convenience store. In particular, frequent changes in personnel generate results that negatively impact loyalty with customers. These results may lead to a serious problem in the economics of the store. Therefore, it should enhance the value of services through the establishment of training and compensation for employees. In addition, a certain educational level is required as well as a basis for compensation and retention.

• Asian-Australasian Journal of Animal Sciences
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• 제18권7호
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• pp.1036-1040
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• 2005

Near-infrared reflectance spectroscopic (NIRS) calibrations were developed for accurate and fast prediction of whole broiler chicken carcass composition. The Feed and Forage Foss systems Model 5000 Reflectance Transport Model 5000 with near-infrared reflectance spectroscopy (NIRS)-WinISI II windows software was used for this purpose. One equation was developed for the prediction of each carcass component. One hundred and fifty freeze dried broiler whole carcass samples were ground in a Cyclotech 1,093 sample mill and analyzed for dry matter, protein, fat, calcium and phosphate. Samples were divided into two sets: a calibration set from which equations were derived and a prediction set used to validate these equations. The chemical analysis values (mean${\pm}$SD) were calculated based on dry matter basis as follows: dry matter: 33.41${\pm}$2.78 (range: 26.41-43.47), protein: 54.04${\pm}$6.63 (range: 36.20-76.09), fat 35.44${\pm}$8.34 (range: 7.50-55.03), calcium 2.55${\pm}$0.65 (range: 0.99-4.41), phosphorus 1.38${\pm}$0.26 (range: 0.60-2.28). One hundred and three samples were used to calibrate the equations and prediction values. The software used was modified to obtain partial least square regression statistics, as it is the most suitable for natural products analysis. The coefficients of determination ($R^2$) and the standard errors of prediction were 0.82 and 1.83 for the dry matter, 0.96 and 1.98 for protein, 0.99 and 1.07 for fat, 0.90 and 0.30 for calcium and 0.91 and 0.11 for phosphorus, respectively. The present study indicated that NIRS can be calibrated to predict the whole broiler carcass chemical composition, including minerals in a rapid, accurate, and cost effective manner. It neither requires skilled operators nor generates hazardous waste. These findings may have practical importance to improve instrumental procedures for quick evaluation of broiler carcass composition.