• 제목/요약/키워드: operational characteristic

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초등학교 수학 수업에서의 구체물 활용과 수학적 의사소통에 관한 연구 - 2학년 아동을 중심으로 - (A Study of Using Concrete Materials and Mathematical Communications in the Primary Mathematics Class - Focused on 2nd Grades in Primary school -)

  • 이미애;김수환
    • 한국초등수학교육학회지
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    • 제5권1호
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    • pp.99-120
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    • 2001
  • 본 연구는 초등학교 저학년 아동의 수학적 의사소통 지도의 방향을 모색하고 의사소통에 대한 구체물 활용의 효과에 대하여 새로운 방향을 제시하는데 목적을 두고 수학적 의사소통에는 어떠한 특성이 있으며, 구체물이 수학적 의사소통에 어떠한 영향을 미치는지, 수학 학습에 구체물이 어떠한 영향을 미치는지 알아보고자 하였다. 의사소통 특성으로는 수학적 기호나 용어가 익숙하지 못하고 대체 용어를 사용하고 생활 속의 경험을 학습에 잘 적용시키며, 소수 아동들이 수업을 주도하며, 소집단에서 이루어지는 대화의 방향이 과제 해결 중심으로 이루어지지 못하고 있다. 구체물은 말하기 활동을 촉진시키며, 오류를 쉽게 확인하게 하며 추측과 예상 활동을 수월하게 하고 소집단 활동이 활발히 이루어지게 한다. 반면에 구체물을 활용하면서 교사에게 집중하지 않고 이탈행동을 보임으로써 듣기 활동이 제대로 이루어지지 않고 있다. 학습에 주는 영향으로는 참여도를 높이고, 부진아 학습을 돕고, 개념 형성에 도움을 준다. 또한 과제 해결 능력에 따라 수준별 학습이 쉽게 이루어지도록 한다. 그러나 구체물에 따라 학습에 활용 정도가 다르게 나타났으며 아동들은 절차적 지식보다 개념적 지식을 더 중시하고 있었다. 따라서 구체물은 수학 수업에서 의사소통을 활발하게 이루어지게 도와주며 수학 학습에도 많은 영향을 미치게 되므로 저학년의 수학 수업에서는 구체물의 활용이 꼭 필요하다. 또한 교사는 이러한 아동들의 의사소통의 특성을 고려하여 의사소통 활동이 활발히 이루어질 수 있는 교수 학습 방법을 모색해야할 것이다.된다0.9 mg/ml의 수준에서 측정되었고, 제 11세대에서는 유즙내 인간 hIL-10의 발현 수준을 분석하였을 때, 그 농도는 평균 5.7± 1.5 mg/ml의 수준에서 측정되었고, 제 12세대에서는 유즙내 인간 hIL-10의 발현 수준을 분석하였을 때, 그 농도는 평균 6.3±3.5 mg/ml의 수준으로 측정되었고, 제 13세대에서는 유즙내 인간 hIL-10의 발현 수준을 분석하였을 때, 그 농도는 평균 6.8±4.5 mg/ml의 수준으로 측정되었고, 제 14세대에서는 유즙내 인간 hIL-10의 발현 수준을 분석하였을 때, 그 농도는 평균 6.8±3.1 mg/ml의 수준으로 측정되었다. 이러한 수준은 제 1 세대의 것보다 높은 결과로 형질전환 생쥐에서 인간 IL-10 유전자의 발현은 최소한 15 세대까지 지속적으로 유지된다는 것을 알 수 있었으며, 장기 세대까지도 발현수준이 유지될 것으로 판단된다. 이러한 연구결과는 계통으로 확립된 형질전환 동물에 부여된 새로운 유전형질은 지속적으로 후대로 유전될 수 있음을 제시한다.

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후정해변 고파랑 조건하에서 파랑유속 방향전환점에서 발생하는 난류성분의 측정 (Measurement of Turbulence Properties at the Time of Flow Reversal Under High Wave Conditions in Hujeong Beach)

  • 장연식;도종대;김선신;안경모;진재율
    • 한국해안·해양공학회논문집
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    • 제29권4호
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    • pp.206-216
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    • 2017
  • 교란운동에너지(TKE)와 레이놀즈 응력의 수직성분($-{\bar{u^{\prime}w^{\prime}}}$)에 대한 한 주기 파장 안에서의 시간변화를 관측자료를 사용하여 분석하였다. 관측자료는 동해에서 온대성저기압이 발달하였던 2017년 1월 14일부터 18일까지 동해안 후정해변에서 측정한 파랑자료를 사용하였다. 이 기간 동안 관측된 모든 파랑자료들 중에서 비슷한 형태를 갖는 수백 개의 규칙파들을 구분하였으며 이 자료를 토대로 Ensemble Average 기법을 사용하여 이 기간 파랑특성을 대표하는 세 개의 평균파를 계산하였다. 그리고 이 평균파를 기준으로 각 파의 요동을 측정하여 한 주기 동안의 교란운동에너지와 레이놀즈 응력을 계산하였다. 이렇게 계산된 자료들을 분석한 결과 교란운동에너지는 파랑의 평균유속과 비슷한 분포를 나타내었으나(즉 유속이 최대값을 나타낼 때 교란운동에너지도 최대값을 나타내었다), $-{\bar{u^{\prime}w^{\prime}}}$는 파랑의 수평유속 방향이 전환되는 '방향전환점'에서 가파르게 증가하는 경향을 나타내었다. 이러한 $-{\bar{u^{\prime}w^{\prime}}}$의 독특한 분포는 Nielsen(1992)에 의해 제안된 난류 convection 현상을 뒷받침하는 발견으로 퇴적물과 같은 물질들의 부유현상이 파랑의 '방향전환점(한 주기 안에서 파랑의 횡단방향 유속 부호가 바뀌는 시점)'에서 촉진될 수 있음을 보여준다. 이렇게 관측된 난류에너지 분포 특성을 CADMAS-SURF 모델을 사용하여 구현해 보았다. 그 결과 교란운동에너지의 경우 모델결과와 관측치 사이에 유사성이 발견되었으나 레이놀즈 응력($-{\bar{u^{\prime}w^{\prime}}}$)의 경우 모델이 '방향전환점'에서의 증가현상을 구현해 내지 못하였다. 이는 CADMAS-SURF와 같은 Reynolds-Averaged Navier-Stokes(RANS) 모델들이 가지는 한계점으로 RANS 모델의 경우 레이놀즈 응력과 같은 난류에너지가 평균유속의 분포에 강한 영향을 받기 때문인 것으로 판명되었다.

역삼투 해수담수화 공정 내 바이오필름 형성 미생물의 부착 및 고압내성 특성 (Adhesion Characteristics and the High Pressure Resistance of Biofilm Bacteria in Seawater Reverse Osmosis Desalination Process)

  • 정지연;이진욱;김성연;김인수
    • 대한환경공학회지
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    • 제31권1호
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    • pp.51-57
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    • 2009
  • 역삼투 해수담수화(SWRO)공정의 큰 문제점 중 하나인 biofouling 현상을 초기에 감지하기 위한 센서 개발의 선행 연구로써, 본 연구는 역삼투막에 바이오필름을 형성하는 문제성 있는 박테리아를 센서의 타겟 박테리아로 제시하는 것에 중점을 두었다. 문헌조사와 실제 해수담수화 공정에서 사용된 해수 원수와 오염된 역삼투막에 존재하는 박테리아를 계통발생학적으로 분석한 결과를 토대로 Bacillus sp., Flavobacterium sp., Mycobacterium sp., P. aeruginosa, P. fluorescens, 그리고 Rhodobacter sp.의 여섯종의 모델 박테리아를 선정하였고, 선정된 모델 박테리아 중, 막 오염 잠재력을 가진 종을 찾아내기 위해 각각 박테리아의 역삼투막 부착 능력, 고압내성, 그리고 소수성을 비교 분석하였다. 그 결과, 역삼투막 부착능력은 Rhodobacter sp.와 Mycobacterium sp.가 뛰어났으며 소수성이거나 역삼투막(접촉각 약 $63^{\circ}$)과 비슷한 접촉각을 가진 박테리아가 역삼투막에 잘 부착하였다. 800 psi의 고압을 적용 한 후, Rhodobacter sp.는 여섯 종류의 모델 박테리아 중 59-73%의 가장 큰 개체수의 감소를 보였고, P. fluorescens는 1-29%로 가장 높은 고압내성을 보였다. 부착, 소수성, 고압내성 특성을 통한 역삼투막에 biofouling을 유발하는 영향력 있는 박테리아 선정 실험 결과, 여섯 종류의 모델 박테리아 중 Mycobacterium sp.가 부착 능력이 뛰어나고 높은 소수성 특성을 가지며, 800 psi의 고압에서도 50% 이상의 cell의 생물학적 활성능력을 가지고 있어, 막 오염을 유발시키는 가장 잠재력 있는 박테리아로 분석되었다.

클라우드 컴퓨팅 서비스의 도입특성이 조직의 성과기대 및 사용의도에 미치는 영향에 관한 연구: 혁신확산 이론 관점 (A Study on the Effect of the Introduction Characteristics of Cloud Computing Services on the Performance Expectancy and the Intention to Use: From the Perspective of the Innovation Diffusion Theory)

  • 임재수;오재인
    • Asia pacific journal of information systems
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    • 제22권3호
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    • pp.99-124
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    • 2012
  • Our society has long been talking about necessity for innovation. Since companies in particular need to carry out business innovation in their overall processes, they have attempted to apply many innovation factors on sites and become to pay more attention to their innovation. In order to achieve this goal, companies has applied various information technologies (IT) on sites as a means of innovation, and consequently IT have been greatly developed. It is natural for the field of IT to have faced another revolution which is called cloud computing, which is expected to result in innovative changes in software application via the Internet, data storing, the use of devices, and their operations. As a vehicle of innovation, cloud computing is expected to lead the changes and advancement of our society and the business world. Although many scholars have researched on a variety of topics regarding the innovation via IT, few studies have dealt with the issue of could computing as IT. Thus, the purpose of this paper is to set the variables of innovation attributes based on the previous articles as the characteristic variables and clarify how these variables affect "Performance Expectancy" of companies and the intention of using cloud computing. The result from the analysis of data collected in this study is as follows. The study utilized a research model developed on the innovation diffusion theory to identify influences on the adaptation and spreading IT for cloud computing services. Second, this study summarized the characteristics of cloud computing services as a new concept that introduces innovation at its early stage of adaptation for companies. Third, a theoretical model is provided that relates to the future innovation by suggesting variables for innovation characteristics to adopt cloud computing services. Finally, this study identified the factors affecting expectation and the intention to use the cloud computing service for the companies that consider adopting the cloud computing service. As the parameter and dependent variable respectively, the study deploys the independent variables that are aligned with the characteristics of the cloud computing services based on the innovation diffusion model, and utilizes the expectation for performance and Intention to Use based on the UTAUT theory. Independent variables for the research model include Relative Advantage, Complexity, Compatibility, Cost Saving, Trialability, and Observability. In addition, 'Acceptance for Adaptation' is applied as an adjustment variable to verify the influences on the expected performances from the cloud computing service. The validity of the research model was secured by performing factor analysis and reliability analysis. After confirmatory factor analysis is conducted using AMOS 7.0, the 20 hypotheses are verified through the analysis of the structural equation model, accepting 12 hypotheses among 20. For example, Relative Advantage turned out to have the positive effect both on Individual Performance and on Strategic Performance from the verification of hypothesis, while it showed meaningful correlation to affect Intention to Use directly. This indicates that many articles on the diffusion related Relative Advantage as the most important factor to predict the rate to accept innovation. From the viewpoint of the influence on Performance Expectancy among Compatibility and Cost Saving, Compatibility has the positive effect on both Individual Performance and on Strategic Performance, while it showed meaningful correlation with Intention to Use. However, the topic of the cloud computing service has become a strategic issue for adoption in companies, Cost Saving turns out to affect Individual Performance without a significant influence on Intention to Use. This indicates that companies expect practical performances such as time and cost saving and financial improvements through the adoption of the cloud computing service in the environment of the budget squeezing from the global economic crisis from 2008. Likewise, this positively affects the strategic performance in companies. In terms of effects, Trialability is proved to give no effects on Performance Expectancy. This indicates that the participants of the survey are willing to afford the risk from the high uncertainty caused by innovation, because they positively pursue information about new ideas as innovators and early adopter. In addition, they believe it is unnecessary to test the cloud computing service before the adoption, because there are various types of the cloud computing service. However, Observability positively affected both Individual Performance and Strategic Performance. It also showed meaningful correlation with Intention to Use. From the analysis of the direct effects on Intention to Use by innovative characteristics for the cloud computing service except the parameters, the innovative characteristics for the cloud computing service showed the positive influence on Relative Advantage, Compatibility and Observability while Complexity, Cost saving and the likelihood for the attempt did not affect Intention to Use. While the practical verification that was believed to be the most important factor on Performance Expectancy by characteristics for cloud computing service, Relative Advantage, Compatibility and Observability showed significant correlation with the various causes and effect analysis. Cost Saving showed a significant relation with Strategic Performance in companies, which indicates that the cost to build and operate IT is the burden of the management. Thus, the cloud computing service reflected the expectation as an alternative to reduce the investment and operational cost for IT infrastructure due to the recent economic crisis. The cloud computing service is not pervasive in the business world, but it is rapidly spreading all over the world, because of its inherited merits and benefits. Moreover, results of this research regarding the diffusion innovation are more or less different from those of the existing articles. This seems to be caused by the fact that the cloud computing service has a strong innovative factor that results in a new paradigm shift while most IT that are based on the theory of innovation diffusion are limited to companies and organizations. In addition, the participants in this study are believed to play an important role as innovators and early adapters to introduce the cloud computing service and to have competency to afford higher uncertainty for innovation. In conclusion, the introduction of the cloud computing service is a critical issue in the business world.

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참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구 (An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective)

  • 강성배;문태수;정윤
    • 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.

고객 간 관계 네트워크가 조직성과에 미치는 영향: 페이스북 기업 팬페이지를 중심으로 (Effects of Customers' Relationship Networks on Organizational Performance: Focusing on Facebook Fan Page)

  • 전수현;곽기영
    • 지능정보연구
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    • 제22권2호
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    • pp.57-79
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    • 2016
  • 최근 소셜 네트워크 서비스는 소비자와의 관계 마케팅 확산 및 확장을 위한 중요한 채널로 인식되며 많은 관심을 받고 있다. 기업이 온라인 환경에서 성공하기 위해서는 기업과 고객 사이의 관계 구축뿐만 아니라 고객들 간의 관계에 초점을 맞출 필요가 있다. 본 연구에서는 페이스북 팬 페이지에 참여하는 사용자들 사이의 네트워크를 분석하여 기업의 비즈니스 성과에 고객 간 네트워크의 구조적 특성이 미치는 영향을 실증적으로 분석하였다. 이를 위해 네트워크 데이터는 코스피 상장 기업 가운데 페이스북 팬 페이지에 100개 이상의 게시글을 올린 54개 기업으로부터 수집하였으며, 수집된 네트워크 데이터는 각 사용자를 노드로 하고 동일한 마케팅 활동에 대해 참여한 사용자간의 관계를 링크로 한 원모드 비방향 이진 네트워크(one-mode undirected binary network)이다. 본 연구에서는 이러한 네트워크 데이터를 핸들링하여 사용자들 간의 활동 관계를 분석할 수 있는 네트워크 지표(밀도, 글로벌 클러스터링 계수, 최단거리평균, 직경)를 도출하였으며, 이러한 고객 간 네트워크의 구조적 특징을 파악할 수 있는 지표와 기업의 과거실적(순이익), 그리고 미래 예측성과(토빈의 Q) 간의 관계를 분석하였다. 본 연구는 학문적 관점에서 소셜 미디어 채널을 비즈니스 관점에서 연구하려는 연구자들에게 소셜네트워크분석 방법을 통한 새로운 접근법을 제시한다. 실무적인 관점에서 본 연구는 소셜미디어를 통해 마케팅 활동을 수행하려는 기업의 관리자들에게 네트워크의 지표를 이용한 지능형 마케팅 서비스를 수행할 수 있는 토대를 제공할 것으로 기대한다.