• 현장농수산연구지
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• 제20권1호
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• pp.145-162
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• 2018

본 연구는 한국농수산대학 전공심화과정 졸업생들의 영농활동 실태에 대한 분석이다. 분석 결과 한농대 전공심화 졸업생들의 영농활동 특징으로는 규모화 전략을 통한 농업경쟁력 확보에 노력하고 있으며, 이를 기반으로 전문영농에 힘쓰고 있다. 또한 다양한 농업기술혁신 전략을 통해 가치창조 농업(예를 들면, 친환경농업, 신기술의 적극적 도입, 지속적인 연구 활동, 지역사회 활성화에 견인, 전문가 및 동문 등과 적극적인 네트워크 활동 등)에 앞장서고 있다. 그리고 이러한 노력들은 다양한 인증 및 수상(무농약 인증, 무항생제 인증, 우수농가 수상, 우수농산물(GAP), HACCP 인증)등의 결과로 나타나고 있다. 이렇듯 전문 고등교육기관에서 농업에 대한 체계적인 교육을 받은 한농대 졸업생들의 역할은 향후 우리나라 농업발전에 있어 매우 큰 역할을 수행할 것으로 예상된다. 따라서 이에 대한 학교 측의 다양한 제도적·정책적 지원이 수반되어야 할 것이다.

• 한국항만경제학회지
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• 제39권2호
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• pp.1-13
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• 2023

이 연구는 IMO의 환경규제와 4차산업 혁명 기술의 확산에 따라 그중요성과 비중이 확대되고 있는 친환경 스마트 선박의 성장에 필요한 인력 수요를 통계청의 2000년~2020년의 조선산업 인력자료를 기반으로 예측하였다. 추세분석과 시계열분석의 다양한 모델을 적용하여 조선산업의 인력 수요를 예측하고 최근 5년간의 실적치와 비교하여 기하평균을 적용한 단순평균법이 예측 오차가 유의적으로 가장 적은 것으로 평가되었다. 그리고 산업통상자원부의 친환경 스마트 선박 분야의 2018년과 2020년의 인력현황 설문조사 결과를 바탕으로 조선산업 인력 증가추이를 반영하여 인력 수요를 예측하였다. 조선산업의 인력수요 예측치에 친환경 스마트 선박부분의 인력 증가수치를 반영하여 인력 수요를 예측한 결과, 2025년 62,001명, 2030년 85,035명으로 증가하는 것으로 예측되었다. 본 연구는 고부가가치 친환경 스마트 선박 분야에 필요한 인력 수요를 통계자료에 기반하여 객관적으로 예측함으로써, 향후의 인력 수요에 대응한 적절한 전문인력의 양성 및 공급 방안 수립에 기여하게 될 것으로 평가된다.

• 농업과학연구
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• 제50권3호
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• pp.383-394
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• 2023

In Korea, the U.S. Tier-4 Final emission standards have been applied to agricultural machinery since 2015. This study was conducted to analyze the emission characteristics of agricultural tractors during plow tillage operations using PEMS (portable emissions measurement systems). The tractor working speed was set as M2 (5.95 km/h) and M3 (7.60 km/h), which was the most used gear stage during plow tillage operation. An engine idling test was conducted before the plow tillage operation was conducted because the level of emissions differed depending on the temperature of the engine (cold and hot states). The estimated level of emissions for the regular area (660 m²), which was the typical area of cultivation, was based on an implement width of 2.15 m and distance from the work area of 2.2 m. As a result, average emission of CO (carbon monoxide), THC (total hydrocarbons), NOx (nitric oxides), and PM (particulate matter) were approximately 6.17×10-2, 3.36×10^-4, 2.01×10^-4, and 6.85×10^-6 g/s, respectively. Based on the regular area, the total emission of CO, THC, NOx, and PM was 2.62, 3.76×10^-2, 1.63, and 2.59×10^-4 g, respectively. The results of total emission during plow tillage were compared to Tier 4 emission regulation limits. Tier 4 emission regulation limits means maximum value of the emission per consumption power (g/kWh), calculated as ratio of the emission and consumption power. Therefore, the total emission was converted to the emission per power using the rated power of the tractor. The emission per power was found to be satisfied below Tier 4 emission regulation limits for each emission gas. It is necessary to measure data by applying various test modes in the future and utilize them to calculate emission because the emission depends on various variables such as measurement environment and test mode.

• 지적과 국토정보
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• 제53권2호
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• pp.19-37
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• 2023

본 연구는 경기 광주의 임야 총 2,129건의 거래사례를 바탕으로 현실화율의 영향요인을 규명하였다. 다중회귀분석을 통해 나타난 본 연구의 주요 연구결과는 다음과 같다. 첫째, 본 연구는 지역특성이 임야가격의 현실화율에 유의적인 상이한 영향을 미친다는 것을 보여주고 있다. 구체적으로 대상 필지의 하위 행정구역상 위치, 택지지역 면적비율에 따라 현실화율에 유의적인 차이가 존재했으며, 진행 중인 개발사업 수가 많을수록 공시지가가 거래가격에 근접한 수준으로 형성될 가능성이 높게 나타났다. 둘째, 본 연구는 관내·외 중심지 인접성, 교통접근성 등의 입지특성이 현실화율 결정에 유의적인 영향을 미치는 것으로 분석되었다. 셋째, 본 연구는 임야의 이용규제특성으로 용도지역상 관리지역, 보전산지, 자연보전권역, 개발제한구역 등의 법적·제도적 이용규제나 행위제한에 따라 현실화율에 유의적인 차이가 존재한다는 것을 확인하였다. 넷째, 본 연구는 임야의 개별적 요인인 토지특성이 현실화율에 유의적인 영향요인으로 나타났다.

• 한국방사선학회논문지
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• 제18권2호
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• pp.171-177
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• 2024

본 연구에서는 대전지역 종합병원 중 일반촬영장치, CT, MRI 검사 장치 각 2대씩 선정하여 시간대 별 검사 장치의 표면오염도를 측정하여 감염도를 예측하고 감염 예방을 위한 기초자료로 활용하고자 실험을 하였다. 그 결과 일반촬영장치와 MRI 검사장치의 시간대 별 표면 오염도는 13시>8시>16시 순이였으며, CT검사 장치는 13시>16시>8시 순이었으며 이는 검사 건수의 영향으로 나타났다. 또한 검사 장치 부위 별 표면 오염도 결과는 일반촬영장치는 Stand Bucky 손잡이, CT 검사장치는 머리받침대, MRI 검사 장치는 조작 스위치에서 ATP 오염도 수치가 가장 많이 나왔으며, 이는 접촉 건수와 밀접한 관계가 있었다. 소독 전후를 비교한 결과 소독 후 모든 장치에서 유의한 차이로 감소한 결과를 보였다. 실험 결과를 바탕으로 영상의학과 검사실의 오염도를 파악하고 감염질환을 예방할 수 있는 기초자료가 될 수 있을 것이라고 사료된다.

• 대한임상검사과학회지
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• 제55권4호
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• pp.314-323
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• 2023

본 연구는 한국 16개 시·도 1차·2차 의료기관의 임상병리사의 근로실태와 임금수준을 분석하여 희망임금 가이드라인을 제시하고자 한다. 전국 16개 시·도 1차·2차 의료기관의 임상병리사 1,327명을 대상으로 2022년 8월 1일부터 2022년 9월 30일 까지 구조화된 구글 설문지를 활용한 설문조사를 실시하였다. 연구 결과, 임금수준은 성별, 연령, 학력, 경력, 직책, 근무지역, 고용형태에 따라 차이가 있는 것으로 나타났다. 경력 1년 미만의 성별, 지역별에 따른 현재의 임금과 희망 임금은 차이가 있으며, 임금의 격차는 상대적으로 여성이 크게 나타났다. 임금만족도, 업무성과에 적합한 임금 및 보상인식, 기술가치 대비 보상에 대한 인식도는 각각 2.01, 2.23, 2.30으로 낮게 나타났다. 본 연구는 1차·2차 의료기관이 임상병리사가 안정적인 일자리와 업무를 제공받을 수 있는 환경을 조성하기 위해 임상병리사 업무에 대한 합당한 임금을 제공해야 하고, 대한임상병리사협회는 1차·2차 의료기관의 임상병리사의 초임임금은 3,400만원의 희망 급여를 받을 수 있도록 협력체계를 구축해야 함을 시사한다.

• 한국전기전자재료학회논문지
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• 제37권3호
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• pp.297-303
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• 2024

In this study, KTN heterolayer thin films were fabricated by alternately stacking films of K(Ta_0.70Nb_0.30)O₃ and K(Ta_0.55Nb_0.45)O₃ synthesized using the sol-gel method. The sintering temperature and time were 750℃ and 1 hour, respectively. All specimens exhibited a polycrystalline pseudo-cubic crystal structure, with a lattice constant of approximately 0.398 nm. The average grain size was around 130~150 nm, indicating relatively uniform sizes regardless of the number of coatings. The average thickness of a single-coated film was approximately 70 nm. The phase transition temperature of the KTN heterolayer films was found to be approximately 8~12℃. Moreover, the 6-coated KTN heterolayer film displayed an excellent dielectric constant of about 11,000. As the number of coatings increased, and consequently the film thickness, the remanent polarization increased, while the coercive field decreased. The 6-coated KTN heterolayer film exhibited a remanent polarization and coercive field of 11.4 μC/cm² and 69.3 kV/cm at room temperature, respectively. ΔT showed the highest value at a temperature slightly above the Curie temperature, and for the 6-coated KTN heterolayer film, the ΔT and ΔT/ΔE were approximately 1.93 K and 0.128×10^-6 K·m/V around 40℃, respectively.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• 한국식품조리과학회지
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• 제22권5호통권95호
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• pp.642-649
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• 2006

본 연구는 전통적 방법으로 간장 및 어육장을 제조하고 담근 용기는 투명유리 용기를 사용하여 숙성온도(4$^{\circ}C$, 20$^{\circ}C$)와 숙성 기간(360일)에 따라 색도 및 갈색색소의 패턴을 측정하여 간장과 어육장의 색소가 형성되는 과정을 살펴보았다. pH는 숙성 기간이 증가함에 따라 낮아지는 경향을 나타났고 간장 5.52${\sim}$6.26, 어육장 5.11${\sim}$6.13을 나타내었으며 특히 20$^{\circ}C$에서 어육장은 숙성기간에 따른 pH의 현저한 변화 양상을 나타내었다. 420 nm에서의 흡광도를 측정한 결과 시료 종류와 숙성 온도에 상관없이 숙성 기간 180일까지 흡광도가 증가하였으며 가장 높은 흡광도는 간장 4$^{\circ}C$(240일), 어육장 20$^{\circ}C$(360일), 간장 20$^{\circ}C$와 어육장 4$^{\circ}C$의 경우 숙성 180일에 나타났다. 흡광도 400/500 nm에 대한 흡광 비율은 간장 4$^{\circ}C$(1.37${\sim}$5.29), 간장 20$^{\circ}C$(1.37${\sim}$5.02), 어육장 4$^{\circ}C$(1.37${\sim}$5.02), 어육장 20$^{\circ}C$(1.37${\sim}$4.32)의 비율을 나타내었으며 숙성 기간 증가에 따라 간장의 경우 비율이 일정하지 않았으나 어육장 20$^{\circ}C$는 300일까지 비율이 증가하는 것으로 나타났다. 색도계 측정 결과 L값은 간장의 경우 숙성 기간에 따라 서서히 증가하는 경향으로 나타났으며 4$^{\circ}C$(240일), 20$^{\circ}C$(180일)에서 가장 높게 나타났고 그 이후 숙성기간이 지날수록 감소하는 경향으로 나타났다. 반면에 어육장의 경우 4$^{\circ}C$(60일), 20$^{\circ}C$(360일)에서 가장 높게 나타났으나 숙성 기간에 따른 차이는 나타나지 않았다. a값은 어육장 20$^{\circ}C$를 제외한 간장에서 숙성기간 120일까지 녹색도가 커졌으며, 특히 간장 20$^{\circ}C$, 어육장 4$^{\circ}C$는 120일 이후 녹색도가 작아지는 경향으로 모든 시료에서 음의 값이 나타나 적색보다는 녹색을 띠는 것으로 나타났다. b값은 간장 20$^{\circ}C$과 어육장 4$^{\circ}C$는 180일까지 증가하였으나 숙성 기간에 따른 b값은 뚜렷한 경향은 보이지 않았다 UV-VIS Spectra를 측정한 결과 모든 시료가 숙성기간에 상관없이 220${\sim}$320 nm 부근에서 최대흡수파장을 나타내었다. 간장 4$^{\circ}C$(240일), 20$^{\circ}C$(180일), 어육장 4$^{\circ}C$와 20$^{\circ}C$는 360일에서 가장 높은 최대흡수파장을 나타내었으며 220${\sim}$320 nm에서 완만한 peak를 나타내는 전형적인 model melanoidin의 특성은 간장 4$^{\circ}C$(240일), 20$^{\circ}C$(120${\sim}$300일), 어육장 4$^{\circ}C$(360일), 20$^{\circ}C$(240일)에서 나타나 어육장이 간장보다 melanoidin 형성 기간이 길며, 어육장 20$^{\circ}C$에 경우 숙성기간이 길어짐에 따라 melanoidin 색소 특유의 패턴이 달라지는 것으로 나타났다. Maillard 반응 정도를 나타내는 유도체(2.4-DNPH)와 3DG 함량을 측정한 결과 유도체(2.4-DNPH) 함량범위는 간장 4$^{\circ}C$(0${\sim}$14.36 mg), 20$^{\circ}C$(0${\sim}$11.76 mg), 어육장 4$^{\circ}C$(0${\sim}$12.48mg), 20$^{\circ}C$(0${\sim}$8.56 mg)으로 나타났으며 3DG 함량범위는 간장 4$^{\circ}C$(0${\sim}$5.65 mg%), 20$^{\circ}C$(0${\sim}$5.34 mg%), 어육장 4$^{\circ}C$(0${\sim}$3.74 mg%), 20$^{\circ}C$(0${\sim}$3.01 mg%)으로 어육장보다는 간장의 3DG 함량이 높게 나타났다. 이상의 결과에서 어육장의 갈색 색소 형성이 간장의 갈색색소 형성과 유사하다는 것을 확인하였다.

• 기술혁신연구
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• 제11권1호
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• pp.147-176
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• 2003

This Paper Presents a new measurement technique to derive the level of BSRC (Basic Science and Research Capacity) index by use of the factor analysis which is extended with the assumption of the standard normal probability distribution of the selected explanatory variables. The new measurement method is used to forecast the gap of Korea's BSRC level compared with those of major OECD countries in terms of time lag and to make their international comparison during the time period of 1981∼1999, based on the assumption that the BSRC progress function of each country takes the form of the logistic curve. The US BSRC index is estimated to be 0.9878 in 1981, 0.9996 in 1990 and 0.99991 in 1999, taking the 1st place. The US BSRC level has been consistently the top among the 16 selected variables, followed by Japan, Germany, France and the United Kingdom, in order. Korea's BSRC is estimated to be 0.2293 in 1981, taking the lowest place among the 16 OECD countries. However, Korea's BSRC indices are estimated to have been increased to 0.3216 (in 1990) and 0.44652 (in 1999) respectively, taking 10th place. Meanwhile, Korea's BSRC level in 1999 (0.44652) is estimated to reach those of the US and Japan in 2233 and 2101, respectively. This means that Korea falls 234 years behind USA and 102 years behind Japan, respectively. Korea is also estimated to lag 34 years behind Germany, 16 years behind France and the UK, 15 years behind Sweden, 11 years behind Canada, 7 years behind Finland, and 5 years behind the Netherlands. For the period of 1981∼1999, the BSRC development speed of the US is estimated to be 0.29700. Its rank is the top among the selected OECD countries, followed by Japan (0.12800), Korea (0.04443), and Germany (0.04029). the US BSRC development speed (0.2970) is estimated to be 2.3 times higher than that of Japan (0.1280), and 6.7 times higher than that of Korea. German BSRC development speed (0.04029) is estimated to be fastest in Europe, but it is 7.4 times slower than that of the US. The estimated BSRC development speeds of Belgium, Finland, Italy, Denmark and the UK stand between 0.01 and 0.02, which are very slow. Particularly, the BSRC development speed of Spain is estimated to be minus 0.0065, staying at the almost same level of BSRC over time (1981 ∼ 1999). Since Korea shows BSRC development speed much slower than those of the US and Japan but relative]y faster than those of other countries, the gaps in BSRC level between Korea and the other countries may get considerably narrower or even Korea will surpass possibly several countries in BSRC level, as time goes by. Korea's BSRC level had taken 10th place till 1993. However, it is estimated to be 6th place in 2010 by catching up the UK, Sweden, Finland and Holland, and 4th place in 2020 by catching up France and Canada. The empirical results are consistent with OECD (2001a)'s computation that Korea had the highest R&D expenditures growth during 1991∼1999 among all OECD countries ; and the value-added of ICT industries in total business sectors value added is 12% in Korea, but only 8% in Japan. And OECD (2001b) observed that Korea, together with the US, Sweden, and Finland, are already the four most knowledge-based countries. Hence, the rank of the knowledge-based country was measured by investment in knowledge which is defined as public and private spending on higher education, expenditures on R&D and investment in software.