• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1510-1510
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• 2001

NIRS uses reflectance signals resulting from bending and stretching vibrations in chemical bonds between carbon, nitrogen, hydrogen, sulfur and oxygen. These reflectance signals are used to measure the concentration of major chemical composition and other descriptors of homogenized and freeze-dried whole broiler carcasses. Six strains of chicken were analyzed and the NIRS model predictions compared to reference data. The results of this comparison indicate that NIRS is a rapid tool for predicting dry matter (DM), fat, crude protein (CP) and ash content in the broiler carcass. Males and females of six commercial strain crosses of broiler chicken (Gallus domesticus) were used in this study (6$\times$2 factorial design). Each strain was grown to 16 weeks of age, and duplicate serial samples were taken for body composition analysis. Each whole carcass was pressure-cooked, homogenized, and a representative sample was freeze-dried. Body composition determined as follows: DM by oven dried method at 105$^{\circ}C$ for 3 hours, fat by Mojonnier diethyl ether extraction, CP by measuring nitrogen content using an auto-analyzer with Kjeldhal digest and ash by combustion in a muffle furnace for 24 hour at 55$0^{\circ}C$. These homogenized and freeze-dried carcass samples were then scanned with a Foss NIR Systems 6500 visible-NIR spectrophotometer (400-2500nm) (Foss NIR Systems, Silver Spring, MD., US) using Infra-Soft-International, ISI, WinISl software (ISI, Port Matilda, US). The NIRS spectra were analyzed using principal component (PC) analysis. This data was corrected for scatter using standard normal “Variate” and “Detrend” technique. The accuracy of the NIRS calibration equations developed using Partial Least Squares (PLS) for predicting major chemical composition and carcass descriptors- such as body mass (BM), bird dry matter and moisture content was tested using cross validation. Discrimination analysis was also used for sex and strain identification. According to Dr John Shenk, the creator of the ISI software, the calibration equations with the correlation coefficient, $R^2$, between reference data and NIRS predicted results of above 0.90 is excellent and between 0.70 to 0.89 is a good quantifying guideline. The excellent calibration equations for DM ($R^2$= 0.99), fat (0.98) and CP (0.92) and a good quantifying guideline equation for ash (0.80) were developed in this study. The results of cross validation statistics for carcass descriptors, body composition using reference methods, inter-correlation between carcass descriptors and NIRS calibration, and the results of discrimination analysis for sex and strain identification will also be presented in the poster. The NIRS predicted daily gain and calculated daily gain from this experiment, and true daily gain (using data from another experiment with closely related broiler chicken from each of the six strains) will also be discussed in the paper.

• 농약과학회지
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• 제6권2호
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• pp.72-79
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• 2002

일련의 3-phenyl-2,5-dihydroisoxazol-5-one(A)과 3-phenylisoxazole(B)유도체 중, 치환-phenyl기가 변화함에 따라 metalaxyl 살균제에 대하여 감수성(SPC:95C C7105)이나 저항성(RPC: 95CC7303)을 나타내는 고추역병균(Phytophthora capsici)의 살균활성 에 관한 비교 분자장 분석(CoMFA) 결과를 검토하였다. 살균활성은 (A)가 (B)보다 큰 경향이었으며 활성을 나타내는 가장 안정한 기질 분자의 형태는 평면성에 가까운 구조이었다. 두 균주를 대상으로 살균 활성에 미치는 CoMFA 장을 계산한 바, 상대적인 기여도는 공히, 정전기장이 가장 우세하였고 소수성장 및 입체장은 비슷한 정도로 기여하였다. 또한, CoMFA 모델은 좋은 상관성과 높은 예측성($q^2>0.570$ 및 $r^2>0.968$)을 나타내었다. 등고도 분석으로부터 RPC에 대한 살균활성의 선택성 요소는 benzoyl-기의 ortho, meta(C14 및 C15) 위치에는 부피가 큰 치환체를 그리고 meta, para(C15 및 C16) 위치부근에는 음하전을 생성하는 전자끌게가 도입되어야 할 것으로 판단된다.

• 만화애니메이션 연구
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• 통권40호
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• pp.337-365
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• 2015

본 연구의 목적은 소셜네트웍게임에서 사용자 중독에 대한 새로운 모델을 제안하고자 한다. 본 모델은 논리적 특성과 정서적 특성에서 유래한다. 논리적 특성은 기능(F), 키스트록(K), 목표(G)로 구성된다. 정서적 특성은 감정(E), 사교(S), 감성(A)으로 구성된다. 30명의 참가자를 통해서 예비조사를 실시하여 설문문항의 적합성, 대략적인 모형의 타당성 및 연구의 방향성 등을 점검하였다. 이후 본 연구에서 300명의 피험자를 대상으로 조사를 실시하였다. 그중 261명만 채택하였다. 왜냐하면 39명은 SNG 게임을 전혀 해보지 않았으며 설문 응답에 불성실하게 이행하여 본 연구에서 제외하였다. 본 연구는 부분최소자승-구조방정식모델링 기법을 활용하여 가설검증을 하였다. 그 결과 모형적합도가 높게 나타났으며 12가지 가설 가운데 11가지가 유의미한 효과가 발생하였다(H1, H2, H3, H4, H5, H6, H7, H8, H9, H10, H12). 그러나 유일한 가설 H11인 소셜네트워크중독과 키스트록 간에는 유의미한 효과가 발생하지 않았다. 본 연구는 소셜네트워크게임 개발을 위한 사용자 행동을 이해하며 중독의 기저를 밝히는데 기초가 되는 탐색적 연구가 될 것으로 기대된다.

• 지식경영연구
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• 제17권4호
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• pp.27-56
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• 2016

Korean traditional markets have been struggling of late as big-sized superstores and SSM(Super Supermarkets) are thriving in the market. They have therefore upgraded their facilities and undertaken management modernization actively to overcome the threat to traditional markets and ensure their competitiveness; however, the effect does not appear to be verifiable. The purpose of this study is to analyze the impact of the organizational characteristics of the traditional market merchant association on social capital and organizational performance. In other words, this paper investigates a merchant association's organizational characteristics in terms of the modernization of business activities of the traditional markets and the influence on their social capital and organizational performance. This study analyzes the traditional market by evaluating the impact of these factors. This study consists of four hypotheses: The first hypothesis relates to the causal relationship between the characteristics of a merchant association and social capital. The second and third hypotheses, respectively, relate to the causal relationships between the social capital of a merchant association and the merchant's satisfaction and that between the social capital of a merchant association and organizational commitment. The last hypothesis relates to the relationship between the organizational commitment of a merchant association and the merchant's satisfaction. This study conducts a reliability and validity analysis of the above factors and analyzes the causal relationships between them by using the PLS(Partial Least Squares) path model as one of the structural equation models. The results of the empirical analysis are summarized as follows: First, the organizational characteristics of the traditional market merchant association have a significant influence on social capital. However, only two sub-hypotheses are not significant; these insignificant hypotheses relate to the relationship between a merchant's entrepreneurship and structural capital and that between a merchant's entrepreneurship and cognitive capital. Second, the social capital of a merchant association influences organizational commitment significantly. Third, the relationship between the social capital of a merchant association and the merchant's satisfaction is mostly significant. However, one of the sub-hypotheses, that is, the relationship between relational capital and a merchant's satisfaction is not exceptionally significant. Lastly, the organizational commitment of a merchant association affect the merchant's satisfaction significantly. Through our extensive study, this paper found that a merchant association's organizational characteristics of the traditional market significantly affect social capital, organizational commitment, and satisfaction through the mediation of social capital. Therefore, in order to activate the key traditional market, an understanding of organizational characteristics and social capital is primarily required. Systematic management and investment pertaining to these two factors will be the first consideration for revitalizing traditional markets.

• Journal of Microbiology and Biotechnology
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• 제27권5호
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• pp.925-932
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• 2017

Changes in the metabolite profiles of Lactobacillus sakei and its growth media, based on different culture times (0, 6, 12, and 24 h), were investigated using gas chromatography-mass spectrometry (MS) and liquid chromatography-MS with partial least squares discriminant analysis, in order to understand the growth characteristics of this organism. Cell and media samples of L. sakei were significantly separated on PLS-DA score plots. Cell and media metabolites, including sugars, amino acids, and organic acids, were identified as major metabolites contributing to the difference among samples. The alteration of cell and media metabolites during cell growth was strongly associated with energy production. Glucose, fructose, carnitine, tryptophan, and malic acid in the growth media were used as primary energy sources during the initial growth stage, but after the exhaustion of these energy sources, L. sakei could utilize other sources such as trehalose, citric acid, and lysine in the cell. The change in the levels of these energy sources was inversely similar to the energy production, especially ATP. Based on these identified metabolites, the metabolomic pathway associated with energy production through lactic acid fermentation was proposed. Although further studies are required, these results suggest that MS-based metabolomic analysis might be a useful tool for understanding the growth characteristics of L. sakei, the most important bacterium associated with meat and vegetable fermentation, during growth.

• 경영과정보연구
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• 제37권1호
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• pp.19-40
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• 2018

본 연구는 감지능력, 포착능력, 변형능력, 조정능력 및 학습능력으로 측정된 동태적 역량이 경쟁능력인 제품품질, 프로세스 유연성, 납기속도 및 저비용에 미치는 영향과 각각의 경쟁능력이 기업성과에 미치는 영향을 분석하는데 연구의 목적을 두고 있다. 이를 위해 기존 동태적 역량 관점과 경쟁능력에 관한 실증연구에 기초하여 동태적 역량, 경쟁능력 및 기업성과간의 관계를 연구모형으로 설정하였다. 이 연구모형을 검증하기 위해서 제조기업 이면서 수출활동을 하고 있는 벤처기업을 대상으로 설문조사를 통해 자료를 수집하였고, 수집된 자료 중 총 102개 자료를 분석에 활용하였다. 본 연구모형 검증에는 PLS분석방법이 활용되었고, 이를 통한 실증분석에서는 다음과 같은 결과가 도출되었다. 첫째, 기업의 동태적 역량은 경쟁능력인 제품품질, 프로세스 유연성, 납기속도 및 저비용에 각각 정의 영향을 미치는 것으로 나타났다. 둘째, 경쟁능력인 제품품질 및 프로세스 유연성은 기업성과에 긍정적인 영향을 미치는 것으로 나타났다. 반면, 기존 연구 결과와는 달리 경쟁능력인 납기속도 및 저비용은 기업성과에 유의적인 영향을 미치지 못하는 것으로 나타났다. 본 연구는 이러한 연구결과에 기초할 때 수출벤처기업이 기업성과에 긍정적인 영향을 미치는 경쟁능력을 향상시키기 위해서 기업의 동태적 역량을 구성하고 있는 감지능력, 포착능력, 변형능력, 조정능력 및 학습능력을 향상시키기 위해 지속적으로 노력해야 한다는 실무적 시사점을 제공한다.

• 한국초지조사료학회지
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• 제39권4호
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• pp.292-297
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• 2019

본 연구는 국내산 사료용 벼를 수집하여 근적외선분광법을 이용한 신속한 품질평가를 위하여 2018년 조사료 품질분석 기관의뢰 된 시료 564점을 수집하여 품질평가 NIR-DB를 구축하고 구축된 DB를 바탕으로 최적의 품질평가 검량식을 개발하고 검증하였다. 각 성분별로 예측 정확성을 평가하기 위해 스펙트라를 측정한 값과 실험실 분석값 간의 상관관계를 이용한 다변량분석법을 이용하였다. 사료용 벼의 수분함량 평가에 대한 예측능력은 각각 SEC 1.66% (R²=0.99)와 SECV 1.81% (R²=0.98)로 나타나 사료가치 평가 성분 중 가장 우수한 예측 능력을 보였으며, CP 함량 각각 SEC 0.42% (R²=0.93)와 SECV 0.50% (R²=0.89)로 나타났다. ADF와 NDF 함량의 예측능력은 각각 SEC 1.25% (R²=0.84), SECV 1.42% (R²=0.79) 및 SEC 1.61% (R²=0.90), SECV 1.79%(R²=0.86)로 나타났다. 사료용 벼의 품질 등급인 RFV의 예측 능력은 SEC 4.67% (R²=0.88), SECV 5.21% (R²=0.84)로 나타났다. 이상의 결과를 종합해보면 근적외선분광법을 이용하여 국내산 사료용 벼의 수분함량과 각종 영양성분을 적은 오차범위에서 분석·평가가 가능하였다.

• Agribusiness and Information Management
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• 제3권2호
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• pp.43-62
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• 2011

The goal of this study is to determine, based on survey results, the underlying factors that affect the intention of the farmers who have not adopted the Hazard Analysis and Critical Control Points (HACCP) system for the rearing phase of pig production to adopt this system in the future. The research model for this study was con structed based on strategic contingency theory, the theory of the diffusion of innovation, and the technology acceptance model (TAM). Using structural equation modeling with partial least squares (PLS), this study analyzes the effects of the intensity of competition, the environmental uncertainty, the innovativeness and self-efficacy of the individual farmers, and the impact of the credibility of the Agricultural Technology Service Center (ATSC), which acts as the principal agent of technology dissemination and as a leader of change, on the perceived usefulness of technology and the farmers' intention to adopt the system. The results of the analysis are as follows. First, with regard to the underlying factors affecting the intention to adopt the new system, the intensity of competition within the industry and the institutional credibility of the ATSC were inferred to underlie the perceived usefulness. Second, institutional credibility has a positive impact on the perceived usefulness of the system, and the perceived usefulness, in turn, has a positive impact on the intention to adopt. The perceived ease of use also has a positive impact on the intention to adopt. Because the factor that has the biggest impact on the intention of a farm to adopt is the credibility of the ATSC, it is crucial for extension organizations, such as the ATSC, to make greater efforts to promote the expansion of the HACCP system. Because farmers feel that the implementation of the HACCP system is an instrumental strategy for coping with the high intensity of competition within the industry, they attempt to gain a competitive edge through the production of safe livestock products.

• 한국초지조사료학회지
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• 제35권3호
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• pp.257-263
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• 2015

This study was conducted to assess the potential of using NIRS to accurately determine the chemical composition and fermentation parameters in fresh coarse sorghum and sudangrass silage. Near Infrared Spectroscopy (NIRS) has been increasingly used as a rapid and accurate method to analyze the quality of cereals and dried animal forage. However, silage analysis by NIRS has a limitation in analyzing dried and ground samples in farm-scale applications because the fermentative products are lost during the drying process. Fresh coarse silage samples were scanned at 1 nm intervals over the wavelength range of 680~2500 nm, and the optical data were obtained as log 1/Reflectance (log 1/R). The spectral data were regressed, using partial least squares (PLS) multivariate analysis in conjunction with first and second order derivatization, with a scatter correction procedure (standard normal variate and detrend (SNV&D)) to reduce the effect of extraneous noise. The optimum calibrations were selected on the basis of minimizing the standard error of cross validation (SECV). The results of this study showed that NIRS predicted the chemical constituents with a high degree of accuracy (i.e. the correlation coefficient of cross validation ($R^2{_{cv}}$) ranged from 0.86~0.96), except for crude ash which had an $R^2{_{cv}}$ of 0.68. Comparison of the mathematical treatments for raw spectra showed that the second-order derivatization procedure produced the best result for all the treatments, except for neutral detergent fiber (NDF). The best mathematical treatment for moisture, acid detergent fiber (ADF), crude protein (CP) and pH was 2,16,16 respectively while the best mathematical treatment for crude ash, lactic acid and total acid was 2,8,8 respectively. The calibrations of fermentation products produced poorer calibrations (RPD < 2.5) with acetic and butyric acid. The pH, lactic acid and total acids were predicted with considerable accuracy at $R^2{_{cv}}$ 0.72~0.77. This study indicated that NIRS calibrations based on fresh coarse sorghum and sudangrass silage spectra have the capability of assessing the forage quality control

• 한국초지조사료학회지
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• 제37권4호
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• pp.350-357
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• 2017

Near infrared spectroscopy (NIRS) is a rapid and accurate method for analyzing the quality of cereals, and dried animal forage. However, one limitation of this method is its inability to measure fermentation parameters in dried and ground samples because they are volatile, and therefore, respectively lost during the drying process. In order to overcome this limitation, in this study, fresh coarse haylage was used to test the potential of NIRS to accurately determine chemical composition and fermentation parameters. Fresh coarse Italian ryegrass haylage samples were scanned at 1 nm intervals over a wavelength range of 680 to 2500 nm, and optical data were recorded as log 1/reflectance. Spectral data, together with first- and second-order derivatives, were analyzed using partial least squares (PLS) multivariate regressions; scatter correction procedures (standard normal variate and detrend) were used in order to reduce the effect of extraneous noise. Optimum calibrations were selected based on their low standard error of cross validation (SECV) values. Further, ratio of performance deviation, obtained by dividing the standard deviation of reference values by SECV values, was used to evaluate the reliability of predictive models. Our results showed that the NIRS method can predict chemical constituents accurately (correlation coefficient of cross validation, $R_{cv}^2$, ranged from 0.76 to 0.97); the exception to this result was crude ash ($R_{cv}^2=0.49$ and RPD = 2.09). Comparison of mathematical treatments for raw spectra showed that second-order derivatives yielded better predictions than first-order derivatives. The best mathematical treatment for DM, ADF, and NDF, respectively was 2, 16, 16, whereas the best mathematical treatment for CP and crude ash, respectively was 2, 8, 8. The calibration models for fermentation parameters had low predictive accuracy for acetic, propionic, and butyric acids (RPD < 2.5). However, pH, and lactic and total acids were predicted with considerable accuracy ($R_{cv}^2$ 0.73 to 0.78; RPD values exceeded 2.5), and the best mathematical treatment for them was 1, 8, 8. Our findings show that, when fresh haylage is used, NIRS-based calibrations are reliable for the prediction of haylage characteristics, and therefore useful for the assessment of the forage quality.