• 한국생물공학회:학술대회논문집
• /
• 한국생물공학회 2005년도 생물공학의 동향(XVI)
• /
• pp.590-590
• /
• 2005

• 센서학회지
• /
• 제32권6호
• /
• pp.391-402
• /
• 2023

Low-dimensional (zero-dimensional (0-dim), 2-dimensional (2-dim)) nanoparticles, such as chalcogenide compound semiconductors, III-V semiconductors, transition metal dichalcogenides (TMDs), II-VI semiconductors, nanocarbons, hybrid quantum dots (QDs), and perovskite QDs (PQDs), for which blue light emission has been observed, are reviewed. Current synthesis and device fabrication technologies as well as their prospective applications on next-generation quantum-dot-based light-emitting diodes are discussed.

• 방사성폐기물학회지
• /
• 제20권1호
• /
• pp.43-63
• /
• 2022

The aim of this review is to communicate some essential knowledge of the underlying mechanism of the corrosion of structural containment alloys during molten salt reactor operation in the context of prospective online monitoring in future MSR installations. The formation of metal halide species and the progression of their concentration in the molten salt do reflect containment corrosion, tracing the depletion of alloying metals at the alloy salt interface will assure safe conditions during reactor operation. Even though the progress of alloying metal halides concentrations in the molten salt do strongly understate actual corrosion rates, their prospective 1^st order kinetics followed by near-linearly increase is attributed to homogeneous matrix corrosion. The service life of the structural containment alloy is derived from homogeneous matrix corrosion and near-surface void formation but less so from intergranular cracking (IGC) and pitting corrosion. Online monitoring of corrosion species is of particular interest for molten chloride systems since besides the expected formation of chromium chloride species CrCl₂ and CrCl₃, other metal chloride species such as FeCl₂, FeCl₃, MoCl₂, MnCl₂ and NiCl₂ will form, depending on the selected structural alloy. The metal chloride concentrations should follow, after an incubation period of about 10,000 hours, a linear projection with a positive slope and a steady increase of < 1 ppm per day. During the incubation period, metal concentration show 1^st order kinetics and increasing linearly with time^1/2. Ideally, a linear increase reflects homogeneous matrix corrosion, while a sharp increase in the metal chloride concentration could set a warning flag for potential material failure within the projected service life, e.g. as result of intergranular cracking or pitting corrosion. Continuous monitoring of metal chloride concentrations can therefore provide direct information about the mechanism of the ongoing corrosion scenario and offer valuable information for a timely warning of prospective material failure.

• 한국컴퓨터정보학회논문지
• /
• 제28권11호
• /
• pp.201-208
• /
• 2023

본 연구는 부산지역 청년 창업교육의 활성화와 예비 청년 로컬창업자의 맞춤형 창업역량개발을 위해 부산지역 대학생과 예비창업자들을 대상으로 한 현장 실무중심 로컬창업교육이 교육참여자들의 창업동기와 창업역량, 기업가정신에 어떤 영향을 미치는지 살펴보고자 하는 실증연구이다. 본 연구에서는 창업동기의 구성요인을 경제적동기와 자아실현동기로 구분하였으며 창업역량은 로컬창업에 필요한 실무역량, 로컬 브랜드개발역량, 재무분석역량으로 구분하였다. 실증분석을 위해 2023년 3월~10월까지 창업교육 참여한 139명으로부터 설문을 받아 실증분석을 진행하였다. 연구결과 로컬창업교육은 교육참여자들의 창업동기, 창업역량, 기업가정신에 유의한 영향을 미치는 것으로 분석되었으며, 기업가정신 또한 창업동기와 창업역량에 유의한 영향을 미치는 것으로 나타났다. 연구결과를 통해 지역 예비창업자들을 위한 지역 특성에 맞는 창업교육이 필요하다는 실무적 시사점을 제시하였다.

• Advances in nano research
• /
• 제12권5호
• /
• pp.529-547
• /
• 2022

Graphene is one of the strongest, stiffest, and lightest nanoscale materials known to date, making it a potentially viable and attractive candidate for developing lightweight structural composites to prevent high-velocity ballistic impact, as commonly encountered in defense and space sectors. In-plane twist in bilayer graphene has recently revealed unprecedented electronic properties like superconductivity, which has now started attracting the attention for other multi-physical properties of such twisted structures. For example, the latest studies show that twisting can enhance the strength and stiffness of graphene by many folds, which in turn creates a strong rationale for their prospective exploitation in high-velocity impact. The present article investigates the ballistic performance of twisted bilayer graphene (tBLG) nanostructures. We have employed molecular dynamics (MD) simulations, augmented further by coupling gaussian process-based machine learning, for the nanoscale characterization of various tBLG structures with varying relative rotation angle (RRA). Spherical diamond impactors (with a diameter of 25Å) are enforced with high initial velocity (V_i) in the range of 1 km/s to 6.5 km/s to observe the ballistic performance of tBLG nanostructures. The specific penetration energy (E_p^*) of the impacted nanostructures and residual velocity (V_r) of the impactor are considered as the quantities of interest, wherein the effect of stochastic system parameters is computationally captured based on an efficient Gaussian process regression (GPR) based Monte Carlo simulation approach. A data-driven sensitivity analysis is carried out to quantify the relative importance of different critical system parameters. As an integral part of this study, we have deterministically investigated the resonant behaviour of graphene nanostructures, wherein the high-velocity impact is used as the initial actuation mechanism. The comprehensive dynamic investigation of bilayer graphene under the ballistic impact, as presented in this paper including the effect of twisting and random disorder for their prospective exploitation, would lead to the development of improved impact-resistant lightweight materials.

• International Journal of Computer Science & Network Security
• /
• 제23권2호
• /
• pp.210-226
• /
• 2023

It is difficult to transform a blockchain initiative from the feasibility stage to the fully commercialized the technology's products or services, especially considering the significant investment required and the lack of studies on the benefits and barriers from deployment perspective. Whereas some organizations have come up with their own solutions to moving beyond the feasibility stage, commercial applications do not yet exist and few organizations are willing to invest beyond the prototype phase and fill in the gap between the expected and actual business value of these types of projects. This study aims to develop a blockchain model using a survey to gather qualitative data on experts' opinions on the deployment of blockchain technology. Our model will measure how business professionals could take advantage of blockchain's disruptive technology to develop business opportunities. This study's contribution is to show blockchain technology's potential strategic business value. The findings from this exploration include the prospective for delivering comprehensions to businesses for different creating investment choices on the embracing of the blockchain technology.

• 농촌지도와개발
• /
• 제23권4호
• /
• pp.471-481
• /
• 2016

이 연구의 목적은 미래 산림분야의 유망한 장기 일자리를 분석하고, 산림분야 일자리 수요-공급에 따른 유망한 일자리를 제안하는 데 있다. 연구방법으로는 산림분야 일반/전문직업을 도출하기 위해 전문가 델파이 연구 결과와 관련연구 결과를 비교, 분석 하였다. 연구결과 선정된 일자리는 최근 관심이 높아지고 있는 의료 및 복지와 관련된 직업, 산림 자체를 유지 관리 보호하는 직업, 기후변화에 따른 새로운 자원으로써 산림에서 구할 수 있는 유기물을 활용한 자원개발과 관련된 직업 등이었다.

• 한국컴퓨터정보학회논문지
• /
• 제28권10호
• /
• pp.291-300
• /
• 2023

본 연구는 예비유아교사들이 기획, 설계, 제작을 하는 방안 및 수업모형 운영 결과를 제안한다. 이를 위해 유아교육 현장에서 요구하는 만3세부터 5세까지 각 연령에 맞는 동영상 컨텐츠와 다양한 주제와 영상 재생시간의 동영상 콘텐츠를 파악하여, 현재 유아교육기관에 재직 중인 종사자들의 의견을 적극적으로 수렴하고 이를 바탕으로 대학 교육과정에서의 현장맞춤형 동영상 콘텐츠 개발 방안을 제시한다. 이는 예비유아교사들에게 디지털역량을 비롯하여 자기이해역량, 공동체역량, 창의융합역량을 향상하도록 한다. 이를 통해 스마트한 유아교사 양성과 최신 동영상 기술을 적용한 유치원 활동 및 환경 조성에 기여하고자 한다.

• International Journal of Computer Science & Network Security
• /
• 제23권12호
• /
• pp.13-26
• /
• 2023

Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

• 컴퓨터교육학회논문지
• /
• 제8권5호
• /
• pp.1-15
• /
• 2005

본 연구는 초등교원양성프로그램에 있는 예비교사들이 수학과에서의 전반적인 ICT활용 교육을 이해하고 수업설계 부분을 강화한 ICT활용 교수 학습과정안을 체계적으로 개발하는 경험을 통하여 교수 학습과정안 개발에 관한 이해를 증진시킬 뿐만 아니라 ICT활용 교육에 관한 전문성 제고를 목적으로 한다. 구체적으로, 충북 H 대학과 서울 E 대학의 초등예비교사들이 연구에 참여하였으며 필수과목인 초등수학교육방법에 관한 강좌에서 수학과 수업 모형에 대한 이해를 바탕으로 수학교과에서의 ICT활용사례를 분석하고, 기존의 과정안에 관한 비평 능력을 키우며 체계적으로 초등수학 5학년과 6학년 교수 학습과정안을 개발하였다. 또한 이 과정을 통해 나타난 ICT활용 교육에 관한 예비교사들의 인식을 분석하며 연구 개발의 결과를 바탕으로 수학과에서의 ICT활용 교육에 관한 시사점을 논의한다.