• 한국축산식품학회지
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• 제32권3호
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• pp.369-375
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• 2012

The current study was carried out to investigate the impact of extraction conditions on the free amino acid level and type in beef longissimus muscle. The sample blocks were chiller aged for 1 d and 7 d at $4^{\circ}C$. There are three homogenization speeds (11,000, 19,000 and 24,000 rpm) for bigger and two speeds (11,000 and 13,000 rpm) for smaller homogenizer's dispersing tools were used for evaluation. Results showed that chiller ageing greatly (p<0.05) increased extractable free amino acids, except cystine. Homogenization with the bigger dispersing tool at 24,000 rpm resulted in the highest free amino acid levels for both 1 and 7 d samples. Significant differences (p<0.05) in the mean values of most amino acids due to the effect of speed and interactions between ageing times. However, the speed effect and interaction between ageing with homogenization speed were not significant (p>0.05) for most of the amino acids except valine and isoleucine when using the smaller dispensing tools. The current data indicated that a standardized method for free amino acid types and levels of aged beef samples. In addition, the results also suggested that utilization of a big dispensing tool at high homogenization speed is a better condition for releasing free amino acid contents in beef samples.

• 한국비블리아학회지
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• 제25권4호
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• pp.209-233
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• 2014

본 연구는 영구기록물관리기관의 업무, 자료, 시스템의 특성을 파악하고 이를 기반으로 하는 클라우드 컴퓨팅 기반의 영구기록물관리시스템의 보존 및 활용 모델을 제안하였다. 이를 위해, 하드웨어 및 소프트웨어 자원을 클라우드 컴퓨팅 모델별로 매핑하고 업무 프로세스를 클라우드 컴퓨팅 기반으로 전환하였다. 영구기록물관리시스템에 클라우드 컴퓨팅기술을 도입하는 것은 다른 기록관의 시스템 및 업무효율성의 개선을 위한 모범적인 사례가 될 수 있다.

• KIEAE Journal
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• 제9권1호
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• pp.31-38
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• 2009

The purpose of this study is to present direction in outdoors space planning and design after direction through user characteristic analysis through spectacle component establishment of culture art center outdoors space through on-the-site analysis and literature investigation to culture art center of Seoul city and capital region 17 places in this research. The data was collected from classification and bisection kind, subdivision kind, and great classification composed to 17 items. User satisfaction side and Variable that is looked below satisfaction than average appeared to bench, pergola, sculpture facilities, pavement facilities, border facilities. And these facilities were analyzed dissatisfaction. When see satisfaction model, when make up culture art center or similar facilities in local government hereafter because parking facilities and rest area cause big effect in satisfaction, is judged that is item to consider most preferentially. In most case, parking lot security from outdoors space, resting place security, security of field performance facilities etc. taking a serious view because tendency that users see performance or use most vehicles except neighborhood walking area for a rest, a walk etc.. is trend. But, is judged that physical side so that can feel satisfaction as space security of quantitative side is important but users utilize substantially and side that is the program are more important in hereafter.

• 한국기록관리학회:학술대회논문집
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• 한국기록관리학회 2019년도 춘계학술대회
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• pp.61-67
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• 2019

최근 중앙행정기관은 업무관리시스템을 클라우드 기반의 온나라 문서2.0으로 변경하여 사용하고 있다. 이에 맞춰 국가기록원은 클라우드 기반의 기록관리시스템을 보급하고 있다. 클라우드 컴퓨팅을 포함한 디지털 기술의 발전에 따라 기록의 보존과 활용 방안도 이에 조응하면서 효과적 효율적으로 이루어지도록 끊임없이 재설계해 나가야 한다. 전자기록 관리의 프로세스와 방법이 종이기록 관리의 단순 전자화에서 탈피하여 디지털 기술에 따른 변환(Transformation)의 관점에서 변화하길 바란다. 논리적 이관, 디지털객체의 생애주기별 저장과 중복성 제거, 공문서 서식의 기계가독형 설계, 빅데이터 분석이 용이한 포맷, 공문서 서식과 포맷의 문제, UUID와 해쉬값 기반의 진본성 인증체계 등의 도입을 제안한다.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.2924-2932
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• 2022

Motivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, and easily adaptable to account for major plant-specific differences. They cover the common internal initiating events, frontline and support systems reliability and dependencies, human-factors, common-cause failures, and account for new factors typically overlooked in many PSAs. For quantification, the models use generic US reliability data, precursor analysis reports, the ETHZ Curated Nuclear Events Database, and experts' opinions. Moreover, uncertainties in the most influential basic events are addressed. The generated results show good agreement with assessments available in the literature with detailed PSAs. We envision the models as an unbiased framework to measure nuclear operational risk with the same "ruler", and hence support inter-plant risk comparisons that are usually not possible due to differences in plant-specific PSA assumptions and scopes. The models can be used for initial risk screening, order-of-magnitude precursor analysis, and other research/pedagogic applications especially when no plant-specific PSAs are available. Finally, we are using the generic models for large-scale precursor analysis that will generate big picture trends, lessons, and insights.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.453-459
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• 2022

This study attempted to explore the realization and research direction of a successful metaverse environment in the future by analyzing international research trends of the metaverse using topic modeling. A total of 208 papers among WoS and ScienceDirect papers using metaverse as keywords were selected, and quantitative frequency analysis and topic modeling were performed. As a result, it was confirmed that research has rapidly increased after 2022. The main keywords of the research topics were 'second', 'life', 'learning', 'reality', 'metaverse', 'virtual', 'blockchain', 'nft', 'medical', 'avatar', etc. The topic keywords 'Second life & Education' and 'Virtual Reality & Medical' accounted for a large proportion of 57%, followed by 'Blockchain & Cryptocurrency', 'Avatar & Interaction', and 'Sensing and Device'. As a result of semantic analysis, current metaverse research is focused on application and utilization, and research on underlying technologies and devices is also active. Therefore, it is necessary to identify the commonalities and differences between domestic and foreign studies, and to study the application method considering the domestic environment. In addition, new jurisprudence research is more necessary along with predicting new problems. It is expected that the results of study will provide the right research direction for domestic researchers in the era of digital transformation and contribute to the realization of a digital society.

• International journal of advanced smart convergence
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• 제11권1호
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• pp.55-63
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• 2022

Although research on the leader's or speaker's voice has been continuously conducted, existing research has a single point of view. Sound analysis of voice characteristics has been studied from engineering perspectives, and leadership trait theory has been studied from a business perspective. Convergence studies on leader voice and member cognition are being attempted today. Convergence research on voice has a positive effect on refinement of voice analysis, diversification of voice use, and establishment of voice utilization strategy. This study explains the current flow of research on convergence between speaker's voice and listener's perception, and suggests a direction for the future development of voice fusion research. Furthermore, in connection with AI in the 4th industrial age, new attempts for voice research are sought. First, advances in AI focus on strategically generating the voices needed for individual situations. Second, the voice corrected in real time will support the leader and speaker to utilize the desired voice type. Third, voices through AI based on big data will affect the cognition, attitude and behavior of individual listeners who members, customers, and students in more diverse situations. The purpose and significance of this study is to suggest the way to research the leader's voice recognized by members, and to suggest a method that can be applied in various situations.

• 전자통신동향분석
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• 제34권5호
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• pp.14-25
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• 2019

As the Internet of Things, artificial intelligence and big data have received a lot of attention as key growth engines in the era of the fourth industrial revolution, data acquisition and utilization in mobile, automotive, robotics, manufacturing, agriculture, health care and national defense are becoming more important. Due to numerous data-based industrial changes, demand for sensor technologies is exploding, especially for intelligent sensor technologies that combine control, judgement, storage and communication functions with the sensors's own functions. Intelligent sensor technology can be defined as a convergence component technology that combines intelligent sensor units, intelligent algorithms, modules with signal processing circuits, and integrated plaform technologies. Intelligent sensor technology, which can be applied to variety of smart IT convergence services such as smart devices, smart homes, smart cars, smart factory, smart cities, and others, is evolving towards intelligent and convergence technologies that produce new high-value information through recognition, reasoning, and judgement based on artificial intelligence. As a result, development of intelligent sensor units is accelerating with strategies for miniaturization, low-power consumption and convergence, new form factor such as flexible and stretchable form, and integration of high-resolution sensor arrays. In the future, these intelligent sensor technologies will lead explosive sensor industries in the era of data-based artificial intelligence and will greatly contribute to enhancing nation's competitiveness in the global sensor market. In this report, we analyze and summarize the recent trends in intelligent sensor technologies, especially those for four core technologies.

• 한국정보통신학회논문지
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• 제25권11호
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• pp.1696-1707
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• 2021

최근 정보 기술의 성장에 따라 디지털, 데이터, 인공지능 리터러시와 같은 다양한 리터러시에 대한 연구가 이루어지고 있다. 본 논문에서는, 빅데이터 분석에서 필수적이고, 일상생활 모바일 앱에서도 다양하게 쓰이는 데이터 시각화에 초점을 두고 있으며, 데이터 시각화 활용 능력을 측정하는 데이터 시각화 리터러시 평가 체계에 대해서 다룬다. 2016년에 개발된 영문형 데이터 시각화 활용 능력을 측정하는 평가 체계(VLAT, Visualization Literacy Assessment Test)에 대해서 설명하고, 한국형에 맞춰 개발한 K-VLAT 평가 체계를 소개한다. K-VLAT은 국내 사용자의 맥락에 맞춰 12개의 시각화와 53개의 문항을 웹서비스를 통해 제공한다. 또한, 데이터 시각화 리터러시의 연구 방향을 이해하기 위해서, 영문형 VLAT을 참조한 79건의 논문을 분석하였다. 연구 목적을 4개의 대분야 및 11개의 소분야로 분류하였으며, 데이터 시각화 리터러시와 관련한 인지, 체계에 대한 확장, 교육과의 연계, 사용자 중심형 대시보드 개발 및 효과 평가 등에 활용되고 있다. 이에 따른 K-VLAT의 향후 활용 방안에 대해서 논의한다.

• 정보관리학회지
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• 제41권1호
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• pp.1-30
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• 2024

본 연구의 목적은 장애 아동·청소년의 독서역량을 강화하기 위하여 진단도구 프로토타입을 개발하고 그 타당도 및 신뢰도를 분석함으로써 독서역량 진단프로그램 개발의 기초 자료를 제시하는 데에 있다. 본 연구는 문헌 및 사례 연구를 바탕으로 문항을 개발하고, 델파이 조사 및 실제 장애 아동·청소년을 대상으로 한 예비조사를 실시하고 분석하였다. 연구 결과, 표본 수가 적어 타당도와 신뢰도 분석에 한계는 있었으나 장애 아동·청소년의 독서역량 진단도구 프로토타입 개발과 함께 기초 데이터를 확보하였다. 향후 개발될 독서역량 진단프로그램은 장애유형별 특성, 빅데이터를 통한 데이터 수집 및 활용 방안, 진단 절차 및 진단 시 유의사항을 다양한 변인을 고려하여 웹·모바일로 확장하여 개발할 것을 제안하였다.