• 천문학논총
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• 제34권3호
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• pp.31-40
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• 2019

보루각루를 발전시킨 흠경각루는 세종이 계획하고 장영실이 제작했다. 1438년에 완성한 흠경각루는 수격식 혼의와 혼상의 동력 발생 방식(Lee & Kim, 2012; Mihn et al., 2016)을 채택하였을 뿐만 아니라, 보루각루에서 검증된 구슬 신호 방식과 방목장치를 개량한 걸턱 신호를 활용한 것으로 추론된다. 비록 흠경각루의 내부 구조에 대한 자세한 기술은 없지만, 가산의 상층, 중층, 하층에서 시각에 따라 운행되는 시보시스템 모델을 구체적으로 제시하였다. 본 연구의 흠경각루 모델은 수차의 회전 동력이 기륜 주축에 연결된 세 기륜(4신기륜, 시보기륜, 12신기륜)의 회전력을 기반으로 각종 인형들을 작동시키는 메커니즘으로 구현하였다. 흠경각루 시보시스템 모델을 통한 작동구조와 주요 특징을 정리하면 다음과 같다. 첫째, 4신기륜은 걸턱과 지레를 이용해 4신옥녀의 종을 치고, 4신이 90℃씩 회전하도록 구성했다. 둘째, 시보기륜에서 주전의 역할과 기능을 갖도록 12시진·5경·5점의 걸턱, 밀쇠, 구슬키잡이를 설치해 구슬신호를 발생시키고, 구슬신호 분배기를 통해 경점시간을 알렸다. 셋째, 12신기륜에서 걸턱, 마중쇠, 저울쇠 등을 설치해 12신옥녀와 12신의 작동을 제어했다. 보루각루를 더욱 발전시킨 흠경각루에서는 걸턱, 지레, 주전, 구슬 신호 등을 적용하여 이슬람의 기술요소를 다양한 방식으로 확장하여 적용했다. 이러한 전통은 17세기 조선의 혼천시계 제작 방법에서도 그대로 계승되었다.

• 한국식품위생안전성학회지
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• 제34권6호
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• pp.583-590
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• 2019

본 연구는 기존 기초 연구를 통해 효과가 확인된 '광에너지유도 활성산소'를 이용하여 세척용수를 소독할 수 있는 신개념의 순환형 물 소독 시스템에 대해 실증하는 것이다. 다양한 형태의 감광제 이용 광유도 ROS 발생장치를 이용하여 여러 종류의 병원성 세균을 1시간안에 3 log CFU/mL 이상의 밀도를 감소시키는 조건을 탐구하였다. PS-bead이용 광유도 ROS 발생장치의 밀도 감소 효과에 미치는 주요 요인을 분석한 결과, 세균의 종류에 따라 ROS에 대한 밀도 감소효과가 서로 상이 하였다. B. cereus와 P. carotovorum subsp. carotovorum에 대한 밀도 감소효과는 높았으나 대장균 등 식중독 세균들에 대한 밀도 감소 효과는 상대적으로 낮았다. 순환형 물 소독시스템에서 유속은 유속이 빨라질 수록, 초기 세균밀도가 낮을수록 밀도 감소효과가 증가하는 경향을 보였다. bead의 양이 증가함에 따라 밀도 감소 효과는 일부 대상세균에서 지수적으로 증가함을 알 수 있었다. 싱글 유닛 두 개를 연결한 더블원통유닛3280은 B. cereus 나 P. carotovorum subsp. carotovorum에 대한 실험에서 30 분 안에 약 3 log CFU/mL 이상의 균을 완전히 살균할 수 있었다.

• Asia pacific journal of information systems
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• 제19권2호
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• pp.95-116
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• 2009

Increasingly the institutional theory has been an important theoretical view of decision making process and IT adoption in many academic researches. This study used the institutional theory as a lens through which we can understand the factors that enable the effective appropriation of advanced information technology. It posits that mimetic, coercive, and normative pressures existing in an institutionalized environment could influence the participation of top managers or decision makers and the involvement of users toward an effective use of IT in their tasks. Since the introduction of IT, organizational members have been using IT in their daily tasks, creating and recreating rules and resources according to their own methods and needs. That is to say, the adaptation process of the IT and outcomes are different among organizations. The previous studies on a diverse use of IT refer to the appropriation of technology from the social technology view. Users appropriate IT through not only technology itself, but also in terms of how they use it or how they make the social practice in their use of it. In this study, the concepts of institutional pressure, appropriation, participation of decision makers, and involvement of users toward the appropriation are explored in the context of the appropriation of the mobile electronic medical record system (M-EMRS) in particularly a hospital setting. Based on the conceptual definition of institutional pressure, participation and involvement, operational measures are reconstructed. Furthermore, the concept of appropriation is measured in the aspect of three sub-constructs-consensus on appropriation, faithful appropriation, and attitude of use. Grounded in the relevant theories to appropriation of IT, we developed a research framework in which the effects of institutional pressure, participation and involvement on the appropriation of IT are analyzed. Within this theoretical framework, we formulated several hypotheses. We developed a second order institutional pressure and appropriation construct. After establishing its validity and reliability, we tested the hypotheses with empirical data from 101 users in 3 hospitals which had adopted and used the M-EMRS. We examined the mediating effect of the participation of decision makers and the involvement of users on the appropriation and empirically validated their relationships. The results show that the mimetic, coercive, and normative institutional pressure has an effect on the participation of decision makers and the involvement of users in the appropriation of IT while the participation of decision makers and the involvement of users have an effect on the appropriation of IT. The results also suggest that the institutional pressure and the participation of decision makers influence the involvement of users toward an appropriation of IT. Our results emphasize the mediating effect of the institutional pressure on the appropriation of IT. Namely, the higher degree of the participation of decision makers and the involvement of users, the more effective appropriation users will represent. These results provide strong support for institutional-based variables as predictors of appropriation. These findings also indicate that organizations should focus on the role of participation of decision makers and the involvement of users for the purpose of effective appropriation, and these are the practical implications of our study. The theoretical contribution of this study is lies in the integrated model of the effect of institutional pressure on the appropriation of IT. The results are consistent with the institutional theory and support previous studies on adaptive structuration theory.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.975-976
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• 1993

This talk presents the overview of the author's research and development activities on fuzzy inference hardware. We involved it with two distinct approaches. The first approach is to use application specific integrated circuits (ASIC) technology. The fuzzy inference method is directly implemented in silicon. The second approach, which is in its preliminary stage, is to use more conventional microprocessor architecture. Here, we use a quantitative technique used by designer of reduced instruction set computer (RISC) to modify an architecture of a microprocessor. In the ASIC approach, we implemented the most widely used fuzzy inference mechanism directly on silicon. The mechanism is beaded on a max-min compositional rule of inference, and Mandami's method of fuzzy implication. The two VLSI fuzzy inference chips are designed, fabricated, and fully tested. Both used a full-custom CMOS technology. The second and more claborate chip was designed at the University of North Carolina(U C) in cooperation with MCNC. Both VLSI chips had muliple datapaths for rule digital fuzzy inference chips had multiple datapaths for rule evaluation, and they executed multiple fuzzy if-then rules in parallel. The AT & T chip is the first digital fuzzy inference chip in the world. It ran with a 20 MHz clock cycle and achieved an approximately 80.000 Fuzzy Logical inferences Per Second (FLIPS). It stored and executed 16 fuzzy if-then rules. Since it was designed as a proof of concept prototype chip, it had minimal amount of peripheral logic for system integration. UNC/MCNC chip consists of 688,131 transistors of which 476,160 are used for RAM memory. It ran with a 10 MHz clock cycle. The chip has a 3-staged pipeline and initiates a computation of new inference every 64 cycle. This chip achieved an approximately 160,000 FLIPS. The new architecture have the following important improvements from the AT & T chip: Programmable rule set memory (RAM). On-chip fuzzification operation by a table lookup method. On-chip defuzzification operation by a centroid method. Reconfigurable architecture for processing two rule formats. RAM/datapath redundancy for higher yield It can store and execute 51 if-then rule of the following format: IF A and B and C and D Then Do E, and Then Do F. With this format, the chip takes four inputs and produces two outputs. By software reconfiguration, it can store and execute 102 if-then rules of the following simpler format using the same datapath: IF A and B Then Do E. With this format the chip takes two inputs and produces one outputs. We have built two VME-bus board systems based on this chip for Oak Ridge National Laboratory (ORNL). The board is now installed in a robot at ORNL. Researchers uses this board for experiment in autonomous robot navigation. The Fuzzy Logic system board places the Fuzzy chip into a VMEbus environment. High level C language functions hide the operational details of the board from the applications programme . The programmer treats rule memories and fuzzification function memories as local structures passed as parameters to the C functions. ASIC fuzzy inference hardware is extremely fast, but they are limited in generality. Many aspects of the design are limited or fixed. We have proposed to designing a are limited or fixed. We have proposed to designing a fuzzy information processor as an application specific processor using a quantitative approach. The quantitative approach was developed by RISC designers. In effect, we are interested in evaluating the effectiveness of a specialized RISC processor for fuzzy information processing. As the first step, we measured the possible speed-up of a fuzzy inference program based on if-then rules by an introduction of specialized instructions, i.e., min and max instructions. The minimum and maximum operations are heavily used in fuzzy logic applications as fuzzy intersection and union. We performed measurements using a MIPS R3000 as a base micropro essor. The initial result is encouraging. We can achieve as high as a 2.5 increase in inference speed if the R3000 had min and max instructions. Also, they are useful for speeding up other fuzzy operations such as bounded product and bounded sum. The embedded processor's main task is to control some device or process. It usually runs a single or a embedded processer to create an embedded processor for fuzzy control is very effective. Table I shows the measured speed of the inference by a MIPS R3000 microprocessor, a fictitious MIPS R3000 microprocessor with min and max instructions, and a UNC/MCNC ASIC fuzzy inference chip. The software that used on microprocessors is a simulator of the ASIC chip. The first row is the computation time in seconds of 6000 inferences using 51 rules where each fuzzy set is represented by an array of 64 elements. The second row is the time required to perform a single inference. The last row is the fuzzy logical inferences per second (FLIPS) measured for ach device. There is a large gap in run time between the ASIC and software approaches even if we resort to a specialized fuzzy microprocessor. As for design time and cost, these two approaches represent two extremes. An ASIC approach is extremely expensive. It is, therefore, an important research topic to design a specialized computing architecture for fuzzy applications that falls between these two extremes both in run time and design time/cost. TABLEI INFERENCE TIME BY 51 RULES {{{{Time }}{{MIPS R3000 }}{{ASIC }}{{Regular }}{{With min/mix }}{{6000 inference 1 inference FLIPS }}{{125s 20.8ms 48 }}{{49s 8.2ms 122 }}{{0.0038s 6.4㎲ 156,250 }} }}

• 지능정보연구
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• 제22권4호
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• pp.45-67
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• 2016

최근 정보 유통의 주요 매체인 인터넷 뉴스와 SNS의 매체 간 특성 차이를 주목한 많은 연구가 있었음에도 불구하고, 양 매체의 차이를 정보의 수요 및 공급 관점에서 파악한 연구는 상대적으로 매우 부족하다. 일반적으로 새로운 정보는 언론사의 뉴스 기사를 통해 대중에게 노출되고, 대중은 이러한 기사에 대한 의견 또는 추가정보를 SNS를 통해 공유함으로써 해당 정보를 수용함과 동시에 확산시킨다. 이러한 측면에서 언론사가 뉴스를 제공하는 행위를 정보의 공급으로 파악할 수 있으며, 대중은 SNS를 통해 이에 대한 관심을 능동적으로 나타냄으로써 해당 정보에 대한 소비 수요를 표출하는 것으로 이해할 수 있다. 이는 상품 및 서비스의 가격이 수요와 공급의 관계에 의해 결정되는 것과 유사한 원리로, 정보의 가치를 정보 수요와 정보 공급의 관계에 기반을 두어 측정할 수 있음을 시사한다. 본 연구에서는 정보 공급의 대표 매체로 인터넷 뉴스 기사를, 정보 수요를 나타내는 대표 매체로 트위터를 선정하고, 특정 이슈에 대한 뉴스의 정보로서의 가치를 이와 관련된 트위터의 양으로 평가하는 뉴스가치지수(NVI, News Value Index)를 고안하여 제시한다. 구체적으로 제안 방법론은 각 이슈별로 NVI를 도출하고 이를 통해 시간의 흐름에 따른 정보 가치의 변화를 시각화하여 나타낸다. 또한 본 연구에서는 제안 방법론의 실무 적용 가능성을 평가하기 위해 인터넷 뉴스 387,018건과 트윗 31,674,795건에 대한 실험을 수행하였다. 그 결과 대부분의 이슈가 전체 정보 시장의 평균 가치에 수렴하는 형태로 변화함을 알 수 있었으며, 꾸준히 평균 이상의 가치를 가지며 정보 시장을 장악하는 등 특이한 양상을 보이는 흥미로운 이슈도 존재함을 파악할 수 있었다.

• 인터넷정보학회논문지
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• 제20권4호
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• pp.63-72
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• 2019

기업 혹은 조직 거버넌스의 하위개념인 비즈니스 거버넌스와 IT 거버넌스는 학계에서 주요 연구과제가 되어 왔다. 그러나 비즈니스와 IT 도메인의 매개적 구조체로서 프로세스의 중요성에도 불구하고, 프로세스 거버넌스(PG)의 연구는 상대적으로 미흡하였다. PG는 비즈니스 전략을 IT시스템 구현과 연계하는 활동에 집중하며, 기업의 본원적 가치 창조 활동을 설명한다. 본 논문은 정치학, 사회학, 행정학에서의 기본적인 거버넌스 개념을 연구하고, 거버넌스 유형을 6개의 카테고리로 분류했다. 그리고 PG에 대한 일련의 메타모델을 제안한다. 예를 들면 전통적인 핸더슨과 벤카트라만의 SAM모델을 수정한 neo-SAM 모델, 조직 거버넌스 네트워크 모델, 조직거버넌스 순차모델, 조직 거버넌스 메타모델, 프로세스 거버넌스 큐브 모델, COSO와 프로세스 거버넌스의 비교 모델, 마지막으로 프로세스 거버넌스 프레임워크 등이다. SAM모델과 neo-SAM 모델의 주요한 차이점은 비즈니스 거버넌스와 IT 거버넌스 사이에 프로세스 거버넌스 도메인을 포함한 것이다. 여러 개의 메타 모델 중에서, 프로세스 거버넌스 프레임워크가 핵심 개념 모델로서 이는 4개의 활동차원 - 전략연계, 권한강화, 직능향상, 자율조직 - 으로 구성된다. 연구자는 각 활동차원 별로 5개씩 총 20개의 변인을 설계했다. 4개의 활동차원 외에도 프로세스 거버넌스 사이클을 움직이는 6개의 순환 동력 - 탈규범력, 미시권력, 활력, 자기조직력, 규범력, 센스메이킹 - 이 있다. 4개의 활동차원과 6개의 동력으로 조직은 내외부의 환경 변화에 대한 프로세스 거버넌스의 융통성을 유지할 수 있다. 본 연구는 프로세스 거버넌스 역량 모델과 프로세스 거버넌스 변인을 제안하는 목적을 가진다. 업계환경은 기능 중심 조직관리에서 프로세스 중심 관점으로 변화하고 있다. 연구자가 제안하는 프로세스 거버넌스 프레임워크가 향후 프로세스 거버넌스 도메인의 연구 확산을 위한 맥락적 참조모델과 아울러 프로세스 거버넌스 측정도구의 개발을 위한 조작적 정의의 틀을 제공할 것이다.

• 대한기관윤리심의기구협의회지
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• 제2권2호
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• pp.37-48
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• 2020

Purpose: The purpose of this study is to assess the operational status and level of understanding among IRB and HRPP staffs at a hospital or a research institute to the HRPP guideline set by the Ministry of Food and Drug Safety (MFDS) and to provide recommendations. Methods: Online survey was distributed among members of Korean Association of IRB (KAIRB) through each IRB office. The result was separated according to topic and descriptive statistics was used for analysis. Result: Survey notification was sent out to 176 institutions and 65 (37.1%) institutions answered the survey by online. Of 65 institutions that answered the survey; 83.1% was hospital, 12.3% was university, 3.1% was medical college, 1.5% was research institution. 23 institutions (25.4%) established independent HRPP offices and 39 institutions (60.0%) did not. 12 institutions (18.5%) had separate IRB and HRPP heads, 21 (32.3%) institutions separated business reporting procedure and person in charge, 12 institutions separated the responsibility of IRB and HRPP among staff, and 45 institutions (69.2%) had audit & non-compliance managers. When asked about the most important basic task for HRPP, 23% answered self-audit. And according to 43.52%, self-audit was also the most by both institutions that operated HRPP and institutions that did not. When basic task performance status was analyzed, on average, the institutions that operated HRPP was 14% higher than institutions that only operated IRB. 9 (13.8%) institutions were evaluated and obtained HRPP accreditation from MFDS and the most common reason for obtaining the accreditation was to be selected as Institution for the education of persons conducting clinical trial (6 institutions). The most common reason for not obtaining HRPP accreditation was because of insufficient staff and limited capacity of the institution (28%). Institutions with and without a plan to be HRPP accredited by MFDS were 20 (37.7%) each. 34 institutions (52.3%) answered HRPP evaluation method and accreditation by MFDS was appropriate while 31 institutions (47.7%) answered otherwise. 36 institutions answered that HRPP evaluation and accreditation by MFDS was credible while 29 institutions (44.5%) answered that HRPP evaluation method and accreditation by MFDS was not credible. Conclusion: 1. MFDS's HRPP accreditation program can facilitate the main objective of HRPP and MFDS's HRPP accreditation program should be encouraged to non-tertiary hospitals by taking small staff size into consideration and issuing accreditation by segregating accreditation. 2. While issuing Institution for the education of persons conducting clinical trial status as a benefit of MFDS's HRPP accreditation program, it can also hinder access to MFDS's HRPP accreditation program. It should also be considered that the non-contact culture during COVID-19 pandemic eliminated time and space limitation for education. 3. For clinical research conducted internally by an institution, internal audit is the most effective and sole method of protecting safety and right of the test subjects and integrity for research in Korea. For this reason, regardless of the size of the institution, an internal audit should be enforced. 4. It is necessary for KAIRB and MFDSto improve HRPP awareness by advocating and educating the concept and necessity of HRPP in clinical research. 5. A new HRPP accreditation system should be setup for all clinical research with human subjects, including Investigational New Drug (IND) application in near future.

• 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.

• 항공우주정책ㆍ법학회지
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• 제32권1호
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• pp.225-285
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• 2017

무인항공기 규제 법률은 ICAO의 경우 1944년 '시카고협약'을 기준으로 'RPAS manual(2015)'에 상세하게 규정하고 있으며, 미국의 경우 '연방항공규칙 (14CFR), Public Law (112-95)', 독일의 경우 EASA의 Regulation (EC) No.216/2008을 기본으로 150kg 미만의 무인항공기의 경우 항공운송법, 항공운송명령, 항공운송허가명령 (무인항공기 운영규칙에 관한 법률에 의한 개정), 호주의 경우 '민간항공법 (CAA 1998), 민간항공규칙 101장 (CASR Part 101)'로 정하고 있다. 공통적으로 이러한 법률들이 규제하는 대상에 여가선용 목적의 모형항공기는 제외하고 있으며, 반드시 무인항공기를 통제할 수 있는 조종자를 두어야 하는데, 이때 조종자란 항공 기내가 아닌 지상에서의 조종과 통제를 하는 사람을 의미한다. 또한 무인항공시스템이라는 구조 하에서 조종자는 물론이고 무인항공기를 운용에 필요한 모든 관리 즉, 법률의 규정이 정하는 범위 안에서 안전하고 효율적으로 시스템을 운용하기 위한 모든 관리를 포함하는 것을 의미한다. 구체적 운용방식에 관하여는 각 나라는 25kg 이하의 항공기로 분류하여 규정하고, 호주와 독일은 그 이하의 중량에서 다시 세분화하여 규정하고 있다. ICAO는 시카고협약 제6부속서에 따라 상업적운용을 포함하여 일체의 일반항공 운용을 규정하고 있으며 RPAS 운용의 경우에도 적용된다. 다만, RPA를 이용한 여객운송은 제외하고 있다. RPA의 운용범위가 타국의 영공을 포함하는 경우 비행일 7일 이전에 해당 국가의 특별허가를 요건으로 하며, 이때 비행계획서를 함께 제출하여야 한다. 미국은 연방항공규칙 107장에 따라, 비레저용 소형무인기는 책임조종자 또는 관찰자의 시야 범위 내에서 (주간에만) 지표 또는 수면으로부터 122m(400피트)까지, 시속 161km (87노트) 이내로 운용 가능하다. 소형무인기는 다른 항공기에 경로를 양보해야 하고, 위험물질을 수송하거나 1인이 동시에 2대 이상의 무인기를 운용하는 것은 금지된다. 독일의 경우 무인항공기 운영규칙에 관한 법률에 따라 무인항공시스템과 무인모형항공기에 관한 규정(여가선용 용도 제외)은 공중충돌 방지의무와 더불어 지상의 안전 및 개인의 사생활 보호도 함께 고려되어 2017년 3월 제정되었다. 5kg 이하의 상업용 무인항공기는 종전의 규제규정을 완화하여 더 이상 허가를 요건으로 하지 않지만, 중량에 상관없이 모든 무인항공기는 지속적인 감시자와 조종자의 통제 범위 내에서 100m이하의 높이에서만 자유롭게 운용되어질 수 있다. 호주는 2001년 무인항공기를 규제한 첫 국가로 ICAO 및 FAA, EASA 등의 무인항공기 관련법제에 영향을 주었다. 2016년 개정을 통하여 저위험도로 고려되는 무인항공기의 운용에 대하여 활용성을 증대시키고자 '배제 무인항공기'라는 항목을 추가하여 규제조건을 완화시켰으며, 이에 해당하는 경우 상업적 목적이라 할지라도 특별한 허가 없이 운용할 수 있도록 하였다. 나아가 현재 규제의 유연성을 위하여 새로운 표준 매뉴얼에 대하여 논의 중이다.