• 농업과학연구
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• 제1권1호
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• pp.67-81
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• 1974

감자를 탁주(濁酒) 원료(原料)로 사용(使用)하기 위(爲)하여 증자건조분쇄(蒸煮乾燥粉碎)하고 이들의 화학성분(化學成分)을 분석(分析)하였으며 서분(薯粉)을 이용(利用)한 입국제조조건(粒麴製造條件), 담금조건(條件) 및 원료(原料)를 달리하였을 때에 술덧 성분(成分)에 미치는 영향(影響)을 검토(檢討)함과 아울러 술덧 숙성중(熟成中) 제성주(製成酒)의 보존중(保存中)에 있어서의 화학성분(化學成分) 및 microfiora의 변화(變化) 기타(其他) 시험양조주(試驗釀造酒)의 관능검사등(官能檢査等)을 행(行)하여 다음과 같은 결과를 얻었다. 증서(蒸薯)와 서분(薯粉)의 화학성분(化學成分)은 각각(各各) 수분(水分) 76.2, 10.8%, 총당(總糖) 16.1, 69.8%, 환원당(還元糖) 3.45, 13.4%, 조단백질(粗蛋白質) 2.1, 11.3%, 총산(總酸) 0.012, 0.023%, 휘발산(揮發酸) 0.0012, 0.0025%이었다. 2. 서분(薯粉)을 이용(利用)한 입국제조(粒麴製造) 조건(條件)이 술덧 성분(成分)에 미치는 영향(影響)을 검토(檢討)한 결과(結果) 원료분(原料粉)에 대하여 40~50%의 물을 혼화(混和)하여 상법(常法)에 의(依)해서 48시간(時間) 배양(培養)하는 것이 효과적(效果的)이었으며 이와같은 조건하(條件下)하에서 제조(製造)한 입국(粒麴)의 액화형(液化型) 및 당화형(糖化型) amylase의 역가(力價)는 각각(各各) $D40^{\circ}$30', 128 W.V., 13.2A.U.이었다. 3. Table 1에서 표시(表示)한 기본(基本) 담금비율중(比率中) 여러 가지 조건(條件)을 변화(變化)시켰을 때에 술덧 성분(成分)에 미치는 영향(影響)을 검토(檢討)하여 다음과 같은 결과(結果)를 얻었다. (1) 1단(段) 담금 할 때에는 원료입국(原料粒麴) 60g에 대(對)하여 140ml의 물을, 2단(段) 담금 할 때에는 원료(原料) 140g에 대(對)하여 260ml의 물을 첨가(添加)하는 것이 가장 효과적(效果的)이었다. (2) 1단(段)을 $25^{\circ}C$, 2단(段)을 $30^{\circ}C$에서 산효(酸酵)시킬 때 1, 2단(段) 모두 48시간(時間)씩 발효(醱酵)시키는 것이 가장 효과적(效果的)이었다. (3) 분국(粉麴)은 1단(段)에 0.5%, 2단(段)에 1.0%를 첨가(添加)하는 것이 가장 효과적(效果的)이었고 입국(粒麴)은 20~30% 사용시(使用時)에 술덧 성분상(成分上)에 큰 차이(差異)를 나타내지 않았다. (4) 증서분(蒸薯粉)과 생서분(生薯粉)을 사용(使用)하여 탁주(濁酒)를 제조(製造)하였을 때 술덧중(中)의 methanol 함량(含量)은 각각(各各) 0.03% 및 0.06%이었다. (5) 서분(薯粉)을 원료(原料)로 양조(釀造)하였을 때는 소맥분(小麥粉)을 원료(原料)로 사용(使用)하였을 때에 비(比)하여 주도(酒度), fusel oil 및 Formol-N의 함량(含量)이 낮고 methanol의 함량(含量) 및 산도(酸度)는 높았다. 4. 서분(薯粉)을 원료(原料)로하여 1단(段)에서 24시간(時間), 2단(段)에서 96시간(時間)까지 발효(醱酵)시키면서 발효기간중(醱酵期間中)의 화학성분(化學成分) 및 microfora의 변화(變化)를 측정(測定)한 결과 (1) Alcohol 함량(含量)은 72시간(時間)까지 계속증가(繼續增加)하여 11.9%에 달(達)하였으며 그 후(後)에는 약간(若干) 감소(減少)하였다. (2) 총당량(總糖量)은 48~72시간(時間)까지 급격(急激)히 감소(減少)하여 72시간(時間)에 2.62%에 달(達)하였으며 그 후(後)에는 서서(徐徐)히 감소(減少)되었다. (3) 환원당량(還元糖量)도 점차(漸次) 감소(減少)하였으며 48시간(時間)에 0.29%에 달(達)하였으며 그 후(後)에는 약간(若干)의 증감(增減)을 나타내었다. (4) 총산도(總酸度), 휘발산도(揮發酸度) 및 Formol-N의 함량(含量)은 점차(漸次) 증가(增加)하여 48시간(時間) 후(後)에는 각각(各各) 7.30, 0.20, 2.55에 달(達)하고 그 후(後)에도 약간(若干)씩 증가(增加)하는 傾向)을 나타내었다. (5) 총효모수(總酵母數)는 72시간(時間)에 최고(最高)($2.1{\times}10^8$)에 달(達)하였으며 그 후(後)에는 점차(漸次) 감소(減少)하였다. (6) 총세균수(總細菌數)는 48시간(時間)에 최고(最高)($2.4{\times}10^8$)에 달(達)하였으며 그 후(後)에는 약간(若干)의 증감현상(增減現象)을 나타내었다. 5. 서분(薯粉)으로 양조(釀造)한 탁주(濁酒)를 alcohol 함량(含量) 6%가 되도록 제성(製成)하여 $30^{\circ}C$에 72시간(時間) 보존(保存)하면서 주도(酒度), 산도(酸度), 총효모수(總酵母數) 및 총세균수(總細菌數)의 변화(變化)를 측정(測定)한 결과(結果) (1) alcohol 함량(含量)은 24시간(時間)에 약간(若干) 증가(增加)(6.2%)하였다가 그 후(後)에는 점차(漸次) 감소(減少)하였다. (2) 총산도(總酸度)는 제성직후(製成直後) 3.8이었든 것이 72시간에 6.1에 달(達)하도록 증가(增加)하였다. (3) 총효모수(總酵母數) 및 총세균수(總細菌數)는 48시간(時間)에 최고(最高)에 달(達)하여 각각(各各) $1.5{\times}10^8$ 및 $2.3{\times}10^8$이 되었으며 그 후(後)에는 점차감소(漸次減少)하였다. 6. 서분국(薯粉麴) 및 소맥분국(小麥粉麴)을 사용(使用)하여 1단(段) 담금하고 2단(段)에 이들의 5배량(倍量)의 증서(蒸薯)를 담금하여 발효(醱酵)시킨 결과(結果) alcohol함량(含量) 9.8~11.3%, 총산도(總酸度) 5.8~7.4, Formol-N 2.5~3.3의 색택양호(色澤良好)한 술덧을 얻었다. 7. 서분(薯粉), 소맥분(小麥粉) 및 증서(蒸薯)를 여러가지 비율(比率)이 되도록 시험양조(試驗釀造)하여 alcohol 함량(含量) 6%가 되도록 제성(製成)한 후(後) 관능시험(官能試驗)을 행(行)한 결과(結果) 소맥분(小麥粉)과 증서(蒸薯)의 비율(比率)을 4:5 또는 3.5:7.5가 되도록하여 양조(釀造)한 탁주(濁酒)는 소맥분(小麥粉) 전용탁주(專用濁酒)와 관능면(官能面)에서 유의차(有意差)가 인정(認定)되지 않았으며, 소맥분(小麥粉)과 서분(薯粉)의 비율(比率)을 1:1 또는 3:7의 비율(比率)이 되도록하여 양조(釀造)한 탁주(濁酒)는 상기(上記) 3종류(種類)의 탁주(濁酒)와 고도(高度)의 유의성(有意性)이 인정(認定)되었다.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.