• 제목/요약/키워드: Environment-related technologies

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코로나 시대 기독 노인의 신앙생활을 위한 교육목회 방안 연구 (A Study on the Method of Educational Ministry for the Religious Life of the Christian Elders during the Corona Period)

  • 김정희;박은혜
    • 기독교교육논총
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    • 제66권
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    • pp.243-272
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    • 2021
  • 코로나19는 한국 교회의 목회 방식에 큰 전환을 일으켰다. 대면 목회와 함께 인터넷과 미디어 기기를 활용한 비대면 목회의 장이 본격적으로 열리게 된 것이다. 물론 그동안 비대면 목회가 없었던 것은 아니나 교회목회 가운데 비중이 현저히 낮았던 것이 사실이다. 이러한 대면과 비대면 목회가 병행되는 환경 속에 디지털 취약 계층으로 분류된 노인은 이와 같은 변화에 적절하게 적응하고 있는지, 그들의 신앙생활에는 어려움이 없는지 살펴볼 필요가 있다. 이에 본 연구는 한국 교회와 관련된 코로나19 현황과 그 영향을 정리하고, 기독 노인을 위한 교회 프로그램 현황에 대해 살펴보며, 기독 노인의 삶에 신앙생활이 얼마나 중요한 영향을 주는지에 대해 살펴보고, 이에 마리아 해리스 교육목회 이론을 적용하여 기독 노인의 신앙생활을 위한 교육목회 방안을 제안하고자 하였다. 이는 다음과 같다. 첫째, 코이노니아 측면에서 모든 사람을 소외되지 않게 환대하며 포용하기 위해 기독 노인이 가지고 있는 유산, 신념, 가치관, 삶의 방식 등을 교회 안과 밖의 사람들과 나눌 수 있도록 교육할 것을 제안하였다. 둘째, 레이투르기아 측면에서 영성 수행을 위해 미디어를 활용한 공동 기도의 내용을 제공하는 등을 통해 노인의 기도 생활을 개인적인 영역에서 공적인 영역으로 확대하여 기도와 정의를 실천하는 삶이 되도록 하는 교육목회를 제안하였다. 셋째, 디다케 측면에서 노인들이 변화하는 기술에 익숙하게 반응하도록 교육하는 것이 전제되어야 하며, 이에 교회는 가르침이 일어나는 환경을 온라인상으로까지 확대하며, 전통과 새로운 형태들의 교육 내용을 광범위하게 다루어야 함을 제안하였다. 넷째, 케리그마 측면에서 코로나로 인해 개인적으로나 사회적으로 어려움을 겪게 된 기독 노인들이 다시 말씀을 사모하고 경청하며, 말씀을 통해 코로나 위기를 극복할 수 있는 힘을 얻고, 이것이 교제, 기도, 가르침, 그리고 봉사의 커리큘럼으로 녹아들어 실천할 수 있게 해야 함을 제안하였다. 다섯째, 노인 의식을 전환하여 스스로가 섬김의 객체가 아닌 섬김의 주체가 되며, 디지털 격차 해소를 위한 디지털 리터러시 교육을 통해 섬김과 봉사의 장을 확대해야 함을 제안하였다.

한국형 우주망원경 개발을 위한 공동기획 Working Group 제안 (Proposal of Joint Planning Working Group for Development of Korean Space Telescopes)

  • 한정열;박우진;전유라;김지헌;김윤종;최성환;김영수;백지혜;문봉곤;장비호;김재우;홍성욱;정연길;박수종;정소영
    • 우주기술과 응용
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    • 제1권3호
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    • pp.283-301
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    • 2021
  • 미국 NASA(National Aeronautics and Space Administration)와 유럽의 ESA(European Space Agency)에서는 미지의 세계를 탐구하려는 인류의 지적 호기심을 충족하는 목적과 더불어, 우주를 안전하고 지속가능한 환경으로 개척하려는 원대한 꿈을 모토로 하여 다양한 연구개발에 착수하고 있다. 2020-30 년대에는 10 미터급 우주망원경이 개발되는 등 첨단 거대관측장비가 가동될 것으로 예상하며, 한국에서도 0.15 m 급 NISS(near-infrared imaging spectrometer for star formation history) 개발에 이어 0.2 m급 SPHEREx(spectro-photometer for the history of the universe, epoch of reionization, and ices explorer) 등 소형탐사망원경에 국제협력 파트너로 참여하고 있다. 그러나, 아직 우주망원경의 개발과 운영에 있어 국내 경험은 부족하고, 한국에서 주도하여 망원경을 개발하기 위한 장기적인 계획이 부재한 상황이다. 우리 손으로 만든 장비를 사용하여 인류가 경험하지 못한 미지의 세계에 대한 질문에 답하려면, 산학연관 관계자 간 긴밀한 협력을 통해 우주망원경 건설의 기획과 준비가 절실히 필요하다. 본 연구에서는 한국형우주망원경 개발의 필요성, 배경과 개발목표 및 기대효과를 개념적으로 정리하며, 장기적 안목에서 기획을 준비하는 워킹그룹을 제안한다. 이를 통하여 한국형 우주망원경 개발계획을 우리나라가 주도하여 수립하고, 우주개발 기술연구 분야에서 국가의 방향성을 수립하기 위한 소중한 발걸음을 시작하며, 한국형 우주망원경 워킹그룹이 우리나라의 우주천문학의 이정표를 세우는 기점이 되기를 기대한다.

계층적 군집화 기반 Re-ID를 활용한 객체별 행동 및 표정 검출용 영상 분석 시스템 (Video Analysis System for Action and Emotion Detection by Object with Hierarchical Clustering based Re-ID)

  • 이상현;양성훈;오승진;강진범
    • 지능정보연구
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    • 제28권1호
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    • pp.89-106
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    • 2022
  • 최근 영상 데이터의 급증으로 이를 효과적으로 처리하기 위해 객체 탐지 및 추적, 행동 인식, 표정 인식, 재식별(Re-ID)과 같은 다양한 컴퓨터비전 기술에 대한 수요도 급증했다. 그러나 객체 탐지 및 추적 기술은 객체의 영상 촬영 장소 이탈과 재등장, 오클루전(Occlusion) 등과 같이 성능을 저하시키는 많은 어려움을 안고 있다. 이에 따라 객체 탐지 및 추적 모델을 근간으로 하는 행동 및 표정 인식 모델 또한 객체별 데이터 추출에 난항을 겪는다. 또한 다양한 모델을 활용한 딥러닝 아키텍처는 병목과 최적화 부족으로 성능 저하를 겪는다. 본 연구에서는 YOLOv5기반 DeepSORT 객체추적 모델, SlowFast 기반 행동 인식 모델, Torchreid 기반 재식별 모델, 그리고 AWS Rekognition의 표정 인식 모델을 활용한 영상 분석 시스템에 단일 연결 계층적 군집화(Single-linkage Hierarchical Clustering)를 활용한 재식별(Re-ID) 기법과 GPU의 메모리 스루풋(Throughput)을 극대화하는 처리 기법을 적용한 행동 및 표정 검출용 영상 분석 시스템을 제안한다. 본 연구에서 제안한 시스템은 간단한 메트릭을 사용하는 재식별 모델의 성능보다 높은 정확도와 실시간에 가까운 처리 성능을 가지며, 객체의 영상 촬영 장소 이탈과 재등장, 오클루전 등에 의한 추적 실패를 방지하고 영상 내 객체별 행동 및 표정 인식 결과를 동일 객체에 지속적으로 연동하여 영상을 효율적으로 분석할 수 있다.

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.