• 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.

• Asia pacific journal of information systems
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• 제20권3호
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• pp.139-166
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• 2010

The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

• 경영과정보연구
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• 제37권3호
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• pp.1-25
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• 2018

본 연구는 이러닝 학습 경험이 있는 국내외 기업 종업원 390명을 대상으로 지각된 유용성, 사용용이성, 자기효능감 및 업무환경이 학습전이에 미치는 영향을 실증 분석하였다. 또한 각 요인의 학습전이에 대한 직접효과와 더불어 자기효능감과 업무환경의 매개효과를 분석하였다. 분석결과 이러닝 학습자의 지각된 유용성과 사용용이성은 자기효능감에 유의미한 정(＋)의 영향을 보였으며, 상사 및 동료 지원과 조직 분위기에도 유의미한 정(＋)의 영향을 갖는 것으로 분석되었다. 자기효능감은 학습전이에 유의미한 정(＋)의 영향을 보였으며, 상사 및 동료 지원과 조직 분위기도 학습전이에 유의미한 정(＋)의 영향을 갖는 것으로 나타났다. 지각된 유용성 또한 학습전이에 유의미한 영향을 갖는 것으로 분석되었다. 하지만 지각된 사용용이성은 학습전이에 유의미한 영향을 미치지 않았다. 매개효과 분석결과 자기효능감과 업무환경은 각각 지각된 유용성, 지각된 사용용이성과 학습전이에 대해 모두 매개효과를 갖는 것으로 분석되었다. 본 연구에서 제시한 시사점은 첫째, 기업교육에서 보편화된 이러닝에 대해 기술수용 단계를 벗어나 수용 후 실질적인 학습전이 효과에 대한 영향요인을 반영한 새로운 연구 모형을 제시하였다. 기술수용모델에서 외부 특성요인에 대한 매개변수로 사용되는 지각된 유용성과 지각된 사용 용이성을 독립변수로, 외부 특성요인으로 연구되었던 자기효능감과 조직 환경을 매개변수로 사용한 연구모형을 도출하였다. 둘째, 기술수용과 학습전이에 관한 연구는 단일국가를 대상으로 한 연구들이 대부분이다. 26개 국가의 표본을 대상으로 다양한 샘플을 사용하여 연구 모형을 검증함으로써 신뢰성을 높였다. 셋째, 기존의 연구에서 지각된 유용성과, 사용용이성을 수용의향 및 학습전이의 주요 결정요인으로 고려하였다. 본 연구는 수용된 정보기술에 대해 학습자 및 환경 요인의 매개효과를 탐색하여 지각된 유용성, 사용용이성의 학습전이에 대한 경로를 강화하고 보완하였다. 본 연구에서 활용된 다양한 국가의 표본 분석을 기반으로 향후 국제비교연구도 가능할 것으로 기대된다.

• 한국응용과학기술학회지
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• 제40권4호
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• pp.685-698
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• 2023

본 연구는 한국인 인구집단에서 폭식행동, 음식중독을 식별하고, 해당 증상들이 비만 및 섭식행동, 정신건강, 인지적 특성과 어떠한 연관성을 보이는지 규명하고자 하였다. 이를 위하여 정상체중 및 비만체중에 해당하는 한국인 성인 257명을 대상으로 섭식문제(예: 폭식, 음식중독, 음식갈망), 정신건강(예: 우울), 인지기능(예: 충동성, 정서조절)에 관한 임상심리검사 척도를 측정하였다. 비만 여부와 성별에 따라 그룹을 나누었을 때, 비만체중 여성에서 폭식행동이 46.6%, 음식중독이 29.3%로 가장 빈도가 높았다. 성향점수 매칭 후 데이터로 독립성 검정을 수행한 결과, 폭식행동 및 음식중독이 비만체중 집단에서 정상체중 집단보다 더 많이 나타나는 것을 확인하였다. 또한 폭식행동과 음식중독 유무에 각 심리검사 척도 요인이 미치는 영향력을 파악하고자, 전진선택법을 적용한 로지스틱 회귀모델을 구축하였다. 로지스틱 회귀분석 결과, 폭식행동에는 섭식장애, 음식갈망, 상태불안, 정서조절(인지적 재해석) 및 음식중독이 주로 관여하였고, 음식중독에는 음식갈망, 폭식행동과 함께 비만과 연령의 교호작용, 교육년수가 유의하게 작용하는 것으로 나타났다. 본 연구는 한국인 성인을 대상으로 한 체계적 연구로서, 폭식행동과 음식중독이 여성 및 비만인에서 특히 더 많이 나타남을 확인하였다. 폭식행동과 음식중독에는 일부 섭식문제(예: 음식갈망)가 공통되게 관여하나, 정신건강 및 인지적 위험요인에는 차이가 있었다. 따라서 음식중독과 폭식행동은 서로 구별되는 개념으로 두고, 각각의 기질적·환경적 위험요인을 깊이 있게 탐구하는 것이 필요하다.

• 대한방사선기술학회지:방사선기술과학
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• 제38권3호
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• pp.305-313
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• 2015

2011년 일본 후쿠시마 원전 사고 이후 국내외에서 관련 연구 및 관리체제 정비가 이루어지고 있다. 국내에서도 물의 방사능 오염에 대한 우려가 높아졌으며, 이에 따라 환경부를 중심으로 물 속 방사성 물질 관리체제 정비가 이루어지고 있다. 본 연구에서는 원전 사고의 피해 당사국이며 인접국가인 일본의 관리체제 정비 현황을 분석하였다. 분석한 결과 일본에서는 법제 정비 후 문부과학성이 방사능 측정의 이론적인 내용을 규정하고, 환경성은 실제 공공수역 및 지하수의 수질 오염 상황을 감시하며, 지방자치단체 등 관련된 일선 기관에서 물 환경의 방사능 오염 상황을 모니터링하고 있다. 지역별로 보면 지방측정소들은 전 국토 대상의 조사를 분담하며, 원자력 시설 주변에서 별도의 모니터링을 하고 있으며, 원전 사고 이후 후쿠시마 인근 지역에 대한 모니터링이 추가로 운영 중이다. 기준치 중 음료수 및 수도수의 관리 목표치는 10 Bq/kg이며, 후쿠시마 주변 공공수역과 지하수는 1 Bq/L로 되어 있다. 측정 주기는 매 시간에서 연 1회까지 다양하며 검사에 따라 정기적 또는 부정기적으로 실시되고 있다. 주된 측정 항목에는 공간선량률, 전${\alpha}$, 전${\beta}$, ${\gamma}$핵종, Cs-134, Cs-137, Sr-89, Sr-90, I-131 등이 있다. 이에 비해 우리나라는 원자력시설 주변과 먹는 물에 대한 규제기준은 정비되어 있는 반면, 일반적인 공공수역에 대한 관리는 2014년에 시작되었다. 따라서 향후 WHO 등의 가이드라인을 참고하여 국내 체계를 보완할 것으로 예상된다. 일본의 관리 체계는 우리나라의 일반적인 공공수역 방사성물질 기준을 확립할 때 참고가 될 수 있다고 사료된다.

• 지능정보연구
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• 제17권1호
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• pp.53-69
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• 2011

로봇 자체 또는 로봇에 탑재된 콘텐츠와의 상호작용을 위해 일반적으로 영상 또는 음성 인식 기술이 사용된다. 그러나 영상 음성인식 기술은 아직까지 기술 및 환경 측면에서 해결해야 할 어려움이 존재하며, 실적용을 위해서는 사용자의 협조가 필요한 경우가 많다. 이로 인해 로봇과의 상호작용은 터치스크린 인터페이스를 중심으로 개발되고 있다. 향후 로봇 서비스의 확대 및 다양화를 위해서는 이들 영상 음성 중심의 기존 기술 외에 상호보완적으로 활용이 가능한 인터페이스 기술의 개발이 필요하다. 본 논문에서는 로봇 인터페이스 활용을 위한 가속도 센서 기반의 제스처 인식 기술의 개발에 대해 소개한다. 본 논문에서는 비교적 어려운 문제인 26개의 영문 알파벳 인식을 기준으로 성능을 평가하고 개발된 기술이 로봇에 적용된 사례를 제시하였다. 향후 가속도 센서가 포함된 다양한 장치들이 개발되고 이들이 로봇의 인터페이스로 사용될 때 현재 터치스크린 중심으로 된 로봇의 인터페이스 및 콘텐츠가 다양한 형태로 확장이 가능할 것으로 기대한다.

• 원예과학기술지
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• 제34권2호
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• pp.269-281
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• 2016

절화용으로 재배중인 주요 스프레이 국화 10품종의 형태적 특성과 관련된 요인을 조사하였으며 이들 평균치를 이용하여 변이계수, 유전율 및 유전자 전이율 등의 통계학적 분석을 통하여 얻은 결과를 요약하면 다음과 같다. 형태적 특성을 보면 줄기의 길이 46.4-54,9cm, 줄기의 최대 직경 5.6-8.5mm, 줄기의 경도 $0.17-0.70kg{\cdot}m^{-2}$, 줄기의 생체중 7.5-17.5g, 줄기의 건물중 1.6-3.3g, 줄기의 생체중:건물중의 비율 15.9-23.1%, 줄기 내 엽수 8.4-12.2매, 줄기 내 엽면적 $17.8-37.8m^2$, 줄기 내 잎의 생체중 5.3-18.6g, 줄기 내 잎의 건물중 0.5-1.4g 줄기 내 잎의 생체중:건물중의 비율 7.6-11.5%, 화서의 길이 10.1-18.6cm, 화서의 생체중 7.3-26.7g, 화서의 건물중 1.2-2.8g, 화서의 생체중:건물중의 비율 10.4-17.1%, 화심 직경 8.2-13.3mm, 꽃잎 폭 5.7-14.0mm, 꽃잎 길이 12.9-33.1mm, 꽃잎 두께 $157.8-354.4{\mu}m$였으며 각 특성별 품종 간 DMRT와 LSD를 검정한 결과 고도의 유의차가 인정되었다. 변이계수, 표현 변이계수, 유전 변이계수는 줄기의 길이 4.79-5.15%로서 가장 낮았으며 엽면적 62.97-65.21%로 가장 높았으나 환경 또는 오차 변이계수는 엽면적 1.71%로 가장 낮았고 잎의 건물중 19.30%로 가장 높았다. 유전율은 줄기의 생체중:건물중의 비율 68.69%로 가장 낮았고 줄기 내 엽면적 99.67%로 가장 높았다. 유전자 전이는 줄기의 경도 0.30으로 가장 낮았고 화서 내 잎의 두께 156.65로 가장 높았으며 유전자 전이율은 줄기의 길이 9.17%로 가장 낮았으며 엽면적 134.27%로 가장 높았다. 이와 같이 위에서 언급한 높은 값을 나타내는 형질들은 부가적으로 유전자 작용에 영향을 미치게 되며 경종의 개량을 위해 만족할만한 선발 계획을 수립할 수 있을 것이다.

• 한국산업보건학회지
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• 제30권4호
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• pp.342-352
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• 2020

Objectives: The characteristics of research workers are different from those working in the manufacturing industry. Furthermore, the reagents used change according to the research due to the characteristics of the laboratory, and the amounts used vary. In addition, since the working time changes almost every day, it is difficult to adjust the time according to exposure standards. There are also difficulties in setting standards as in the manufacturing industry since laboratory environments and the types of experiments performed are all different. For these reasons, the measurement of the working environment of research workers is not realistically carried out within the legal framework, there is a concern that the accuracy of measurement results may be degraded, and there are difficulties in securing data. The exposure evaluation based on an eight-hour time-weighted average used for measuring the working environment to be studied in this study may not be appropriate, but it was judged and consequently applied as the most suitable method among the recognized test methods. Methods: The investigation of the use of chemical substances in the research laboratory, which is the subject of this study, was conducted in the order of carrying out work environment measurement, sample analysis, and result analysis. In the case of the use of chemical substances, after organizing the substances to be measured in the working environment, the research workers were asked to write down the status, frequency, and period of use. Work environment measurement and sample analysis were conducted by a recognized test method, and the results were compared with the exposure standards (TWA: time weighted average value) for chemical substances and physical factors. Results: For the substances subject to work environment measurement, the department of chemical engineering was the most exposed, followed by the department of chemistry. This can lead to exposure to a variety of chemicals in departmental laboratories that primarily deal with chemicals, including acetone, hydrogen peroxide, nitric acid, sodium hydroxide, and normal hexane. Hydrogen chloride was measured higher than the average level of domestic work environment measurements. This can suggest that researchers in research activities should also be managed within the work environment measurement system. As a result of a comparison between the professional science and technology service industry and the education service industry, which are the most similar business types to university research laboratories among the domestic work environment measurements provided by the Korea Safety and Health Agency, acetone, dichloromethane, hydrogen peroxide, sodium hydroxide, nitric acid, normal hexane, and hydrogen chloride are items that appear higher than the average level. This can also be expressed as a basis for supporting management within the work environment measurement system. Conclusions: In the case of research activity workers' work environment measurement and management, specific details can be presented as follows. When changing projects and research, work environment measurement is carried out, and work environment measurement targets and methods are determined by the measurement and analysis method determined by the Ministry of Employment and Labor. The measurement results and exposure standards apply exposure standards for chemical substances and physical factors by the Ministry of Employment and Labor. Implementation costs include safety management expenses and submission of improvement plans when exposure standards are exceeded. The results of this study were presented only for the measurement of the working environment among the minimum health management measures for research workers, but it is necessary to prepare a system to improve the level of safety and health.

• 분석과학
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• 제23권2호
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• pp.187-195
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• 2010

허베이 스피리트호 유류유출 사고 후 지역주민들의 수산물 섭취로 인한 건강 위해도를 평가하기 위하여, 가스크로마토그래피-질량분석기(GC-MSD)를 이용하여 유류유출 지역 주민들이 직접 채취 및 구입한 수산물 중 다환방향족탄화수소류(PAHs) 16종을 분석하였다. 시료는 KOH로 가수분해하여 Methylene chloride로 추출하였다. 추출액 중의 16개의 PAHs는 실리카/플로리실 정제컬럼을 이용하여 Methylene chloride : n-헥산(1:9) 혼합용액으로 용출하였고 GC-MSD의 SIM을 이용하여 분석하였다. 16 개의 PAHs의 평균 회수율은 79~85%이었으며, 126개의 시료에서 $0.17\sim6.04\;{\mu}g/kg$ 수준으로 검출되었고, Benzo(a)pyrene의 독성등가계수(TEF)를 적용한 Benzo(a)pyrene 독성등가량($TEQ_{BaP}$)은 $0\sim0.91\;{\mu}gTEQ$/kg 수준이었다. 또한 유류유출 지역 주민들의 벤조피렌의 일일 평균 노출량은 $5.5{\times}10^{-8}\;mg/kg$ bw/day 이었고, PAHs 일일 평균 만성노출량은 $1.3{\times}10^{-5}\;mgTEQ$/kg bw/day이었다. 그리고 안전마진(MOE)과 초과발암위해도는 각각 $1.8{\times}10^6$, $9.8{\times}10^{-8}$으로 사람에게 위해영향발생 우려가 낮은 수준이었다.

• Korean Chemical Engineering Research
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• 제46권3호
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• pp.581-584
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• 2008

중기공성 층상화합물의 촉매 담체를 제조하고, 메탄으로부터 수소를 제조하기 위한 활성도를 평가하기 위해서 고정층 상압 유통식 반응기를 사용하여 Ru(3)/SPK와 Ru(3)/SPM 촉매상에서 메탄의 부분산화반응를 수행하였다. 또한, BET, TEM, TPR를 사용하여 촉매 및 담체의 특성을 분석하였다. 촉매 담체인 실리카 지주 $H^+-kenyaite$(SPK) 와 $H^+-magadite$(SPM)의 BET 비 표면적은 각각 $760m^2/g$와 $810m^2/g$ 이었고, 평균기공크기는 각각 3.0 nm와 2.6 nm 이었다. $N_2$-흡착등온선은 히스테리시스가 잘 발달된 IV형이었으며, TEM으로 중기공성 층상화합물이 잘 만들어졌음을 확인할 수 있었다. Ru(3)/SPK와 Ru(3)/SPM 촉매는 973 K, $CH_4/O_2=2$, $1.25{\times}10^{-5}g-Cat.hr/ml$의 반응조건에서 각각 90%, 87%의 수소의 수율를 얻을 수 있었으며, 약 60시간 까지도 높은 수소 수율을 유지하였다. Ru(3)/SPK와 Ru(3)/SPM 촉매의 TPR 피크는 각각 453K와 413K의 근방에서 비슷한 환원도를 보여주었다. 이러한 분석자료로부터 SPK와 SPM은 산화반응의 촉매 담체로서 구비조건(비 표면적, 열안정성, 평균기공크기 등)를 갖추고 있음을 알 수 있었다.