• 한국동물위생학회지
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• 제32권2호
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• pp.139-146
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• 2009

Bovine brucellosis is a zoonosis, long incubation period and chronic infectious disease, usually caused by Brucella abortus. This study was carried out to investigate the biotyping and biochemical characterization of B. abortus isolated from 208 farm 871 korean cattle and holstein diagnosed brucellosis by serological positive in Gyeongbuk province during the period from 2002 to 2006. B. abortus was isolated from 124 (14.2%) of 871 cattle, and isolated 110 (13.4%) of 820 Korean cattle and 14 (27.5%) of 51 holstein in breed. The uterus of korean cattle was isolated in 8 (17.8%) of 45 cattle and supramammary lymph none of holstein was isolated 11 (68.8%) of 16 cattle. 101 (12.5%) of 810 serological positive blood samples were isolated B. abortus. The isolation rate of B. abortus was correlated with antibody titers. The biochemical characterization of isolates was non-hemolytic, production of H$_2$S, oxidase-positive, catalase-positive, hydrolyzation of urea and growth of basic fuchsin dye medium. As a result, all of isolates was identified B. abortus bv 1. 124 isolates were susceptible to ampicillin, lincospectin, amikacin, gentamicin, kanamycin, neomycin, streptomycin, tetracycline, ciprofloxacin, norfloxacin and enrofloxacin.

• Asian-Australasian Journal of Animal Sciences
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• 제19권1호
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• pp.26-30
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• 2006

The study was undertaken to investigate the validity of milk urea concentration as an index of the reproductive performances in crossbred Karan-Fries (Holstein Friesian${\times}$Tharparkar) cows under farm condition. Milk urea was analysed in noon milk samples (1200 to 1300 h) to interrelate with the interval from parturition to first service, number of insemination per conception, first service conception rate and service period. Milk progesterone (P4) was analysed in noon milk samples on the day 1, 10, 20 and 30 post insemination to study the effect of milk urea concentration on early embryonic mortality. The interval from parturition to first service was found significantly (p<0.01) higher ($77.2{\pm}5.5$ days) when milk urea concentration was ${\geq}63.4mg/dl$. The average milk urea concentrations (mg/dl) were found $42.1{\pm}2.5$, $47.9{\pm}1.5$ and $50.3{\pm}3.1$, respectively in cows that conceived at $1^{st}$, $2^{nd}$ and $3^{rd}$ insemination. However, the variation was not statistically significant. The first insemination conception rate was found significantly (p<0.05) higher (68.8%) when milk urea level was ${\leq}32.4mg/dl$. The service period was found significantly (p<0.05) higher ($125.4{\pm}8.8$ days) when milk urea concentration was ${\geq}45.1mg/dl$. The milk P4 level indicated that the cows, those were detected as non-pregnant on day 60 post insemination were initially pregnant but the pregnancy was terminated sometime during the day 30 to 60 post insemination. The study indicates that the milk urea values may be used as an index of reproductive performances in dairy herd when individual animals are not being monitored for nutritional status. The altered milk urea values may be utilised by the farmers as ready reference to rectify the protein and energy nutrition in cows to achieve the better reproductive performances in herd.

• 한국환경생태학회지
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• 제30권5호
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• pp.857-864
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• 2016

국제적 멸종위기종인 산양 암컷(n=6)의 출산시기 행동권 분석을 위해 2007년 3월부터 2014년 5월까지 설악산국립공원, 월악산국립공원 2지역에서 GPS collar 발신기를 이용하여 연구 수행하였다. 분석결과 출산시기에 따라 행동권의 변화를 확인하였다. MCP 95%에서 봄 $1.00{\pm}1.00km^2$ > 가을 $0.66{\pm}0.30km^2$ > 여름 $0.61{\pm}0.40km^2$ > 겨울 $0.50{\pm}0.10km^2$(F=4.240, p<0.05)로 분석되었으며, 월별분석은 5, 6, 7월에 급격이 행동권이 작아지는 특징을 보였으며, 통계적으로 유의적인 차이를 보였다(F=24.261, p<0.01). 이렇듯 행동권의 급격한 변화를 보인개체들은 새끼를 출산한 개체로 확인 되었고, 행동권이 급격히 작아지는 것을 확인 할 수 있었다. 평균 이용고도는 $615.77{\pm}173.508m$이며 출산개체와 비출산 개체 모두 큰 차이는 없었다. 이러한 분석을 통하여 출산 시기 등을 고려한 개체관리 및 복원에 적용할 수 있을 것으로 판단된다.

• 한국컴퓨터정보학회논문지
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• 제26권12호
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• pp.247-254
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• 2021

코로나19가 확산되면서 비대면 활동이 요구되었고, 서비스로봇의 활용 분야는 점차 증가되고 있다. 본 논문은 뉴스 빅데이터 분석시스템인 빅카인즈를 활용하여 최근 3년(2018.10~2021.9)간 '서비스로봇 AND 비대면' 키워드가 포함된 키워드 검색을 통하여 코로나19 전후에 서비스로봇의 사용 증가 추세와 비대면과의 연관성을 분석하였다. 그 결과 1차(2018.10~2019.9) 기간에 키워드 빈도수 0건, 2차(2019.10~2020.9) 기간에 52건, 3차(2020.10~2021.9) 기간에는 112건으로 2차 기간에 비하여 115% 증가하였다. 2~3차 기간에 관계도 키워드 트렌드 연관어 분석에서 공통으로 거론되는 키워드로는 코로나19, 인공지능, 산업통상자원부, LG전자이었으며, 코로나19의 가중치가 제일 크게 나타나 분석 키워드에 연관성이 가장 큰 것을 확인할 수 있었다. 코로나19의 확산으로 비대면이 요구되고 정보통신 기술의 발전으로 서비스로봇은 그 활용 분야가 급격하게 증가하고 있다. 이에 따른 비대면 경제를 이끌 서비스 로봇의 상용화를 위하여 안전, 성능 분야의 표준화 및 전문성이 요구되는 인력양성이 시급한 실정이다.

• 디지털융복합연구
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• 제20권4호
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• pp.215-224
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• 2022

본 연구는 외식기업을 대상으로 원가의 비대칭적 행태를 검증하고 최근 경기 침체 현상과 관련된 코로나 19 팬데믹 현상과 유동성에 영향을 미치는 영업순환주기가 원가의 행태에 영향을 미치는지 검증하고자 하였다. 2019년과 2020년 외식기업을 대상으로 분석을 실시하였으며 원가는 매출원가와 판매비와 관리비의 합으로 측정하였다. 분석 결과, 외식기업은 활동수준 감소에 따라 원가탄력적인 행태로 나타났다. 또한 코로나 이후 이전보다 원가의 하방탄력적인 행태는 강화되었으며 영업순환주기가 짧을수록 원가는 하방탄력적인 행태로 나타났다. 마지막으로 영업순환주기의 구성요소인 재고자산 보유기간과 매출채권 회수기간 모두 짧을수록 원가의 하방탄력적인 행태는 강화되었다. 이러한 결과는 외식기업을 대상으로 원가의 구조 및 그러한 구조에 팬데믹 현상과 영업순환주기가 영향을 미칠 수 있는 요인을 검증한 것에 의미가 있을 것으로 보인다. 코로나 19로 인하여 외식업체가 직면한 상황을 원가 측면에 접근하였으며 이러한 팬데믹 현상이 기업의 매출 감소에 원가절감으로 이어질 수 있다.

• 한국산업보건학회지
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• 제18권3호
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• pp.204-215
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• 2008

Many researches for service-life of chemical cartridges of respirators have been performed in many countries. On the result of these researches a few softwares programs were eventually developed to be used. In spite of that, it is difficult to apply these researches and softwares practically in the work spot because of too many factors that influence on service-life of chemical cartridges. This study was the first of two conducted for the purpose of developing program for estimating exchange period or service-life of chemical cartridges available feasibly in the workplaces. Collecting plan of cartridges discarded after use is in principle that three cartridges from three workers at a time, three steps of 1/2 exchange time due to smelling, just routine exchange time and 1.2 to 1.3 expanded time of routine exchange, total nine cartridges are collected in the same job site. 33 cartridges for organic vapor were collected in paint spray process of ship yard and paint factory, and 6 cartridges for acid were collected in plating process. These cartridges were analysed the remaining breakthrough time in 3M Innovation Center. Challenge vapor and breakthrough concentration were complied with Korean regulation for chemical cartridge respirators. Estimated breakthrough time was determined from previously used time plus breakthrough time for the remaining. Exchange period of cartridge would be the shortest time among three estimated breakthrough times. On the result breakthrough time for organic vapor was found to be relatively easily estimated, but that for acid aerosol or vapor was difficult to be confident. Even though this method was difficult to be precisely predicted exchange period of cartridge, it could be an alternative program practically available in the job site.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.197-220
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• 2022

Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV²) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.55-72
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• 2020

As the IT service environment grows, it is critical in terms of IT service quality to minimize the occurrence of failures due to changes in applications and to diagnose and recover in a short period of time how failure will affect the business. Thus, the Defense Acquisition Program Administration (DAPA) has been building and operating ITSMs to implement IT service management in a leading manner. Information Technology Service Management (ITSM) is divided into events, obstacles, changes, versions and setup management to ensure flexibility and stability in service delivery. It is also operated separately from service level, availability, capacity, financial and IT service continuity management to ensure service quality and cost efficiency. Based on ITSM military service history, this study looks at the impact of quality of service on value, satisfaction, and trust. The results of the analysis are highly valuable for future ITSM implementation and operation.

• 한국경영과학회지
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• 제31권1호
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• pp.83-90
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• 2006

By defining the partial busy period of the M/M/c/K queueing system as the time interval during which at least one server is in service, we derive the first two moments of both the partial busy period and the number of customers served during it. All expressions are given in explicit forms.

• Elastomers and Composites
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• 제55권2호
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• pp.81-87
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• 2020

Service life prediction and evaluation of rubber components is the foundational technology necessary for securing the safety and reliability of the product and to ensure an optimum design. Even though the domestic industry has recognized the importance thereof, technology for a systematic design and analysis of the same has not yet been established. In order to develop this technology, identifying the fatigue damage parameters that affect service life is imperative. Most anti-vibration rubber components had been damaged by repeated load and aging. Hence, the evaluation of the fatigue characteristics is indispensable. Therefore, in this paper, we propose a method that can predict the service life of rubber components relatively accurately in a short period of time. This method works even in the initial designing stage. We followed the service life prediction procedure of the proposed rubber components. The weak part of the rubber and the maximum strain were analyzed using finite element analysis of the rubber bushing for the tracked vehicles. In order to predict the service life of the rubber components that were in storage for a certain period of time, the fatigue test was performed on the three-dimensional dumbbell specimen, based on the results obtained by the rubber material acceleration test. The service life formula of the rubber bushing for tracked vehicles was derived using both finite element analysis and the fatigue test. The service life of the rubber bushing for tracked vehicles was estimated to be about 1.7 million cycles at room temperature (initial stage) and about 400,000 cycles when kept in storage for 3 years. Through this paper, the service life for various rubber parts is expected be predicted and evaluated. This will contribute to improving the durability and reliability of rubber components.