• 한국약용작물학회지
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• 제28권3호
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• pp.200-208
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• 2020

Background: Salvia miltiorrhiza Bunge has been used in traditional medicine. The type of light source has an effect on the growth properties and composition of functional compounds in plants. In this study, we analyzed the effects of different artificial light sources on the growth characteristics as well as antioxidant and antimicrobial activities of S. miltiorrhiza. Methods and Results: Seedlings of S. miltiorrhiza were grown under various artificial light sources, including fluorescent light (FL), light emitting diode (LED), and microwave electrodeless light (MEL), for 8 weeks. Growth characteristics were the best in plants treated with MEL. DPPH scavenging activity of the shoot was more pronounced with the FL treatments, while the roots were more active in plants grown under single wavelength lights (i.e., blue and red LEDs). Among the different light source treatments, the blue LED resulted in a higher total phenolic content in the plants. Furthermore, growing plants growth under the red LED enhanced their total flavonoid content. Notably, the antimicrobial properties of plants varied significantly between light source treatments in this study. Except for E. coli, all the tested microorganisms were susceptible to the plant extracts. Conclusions: The type of light source may be an important parameter for the enhancement of plant growth and functional compounds in S. miltiorrhiza.

• 한국콘텐츠학회논문지
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• 제19권11호
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• pp.507-515
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• 2019

인공지능 시대에 탄생한 '로봇배우'가 연극의 특성(종합성, 현장성, 이중성, 계획성)에 미치는 긍정적인 영향은 '로봇'기술자들과의 협업이 이뤄지므로 종합성이 확대되며, 인공지능에 의한 반응이 가능하므로 매 공연에 다른 현장성이 유지되고, '로봇배우'가 '로봇'의 역할을 맡는 '로봇' 소재 작품에서는 한층 강화된 일루전 제공이 가능하다. 하지만 연출자의 독단으로 종합성이 축소되고, '인간배우'가 흘리는 땀이나 숨결까지 '로봇배우'가 해낼 수는 없기에 현장성의 질이 다르며, '로봇배우'에 대한 관객의 입장에서나 '로봇배우' 자체의 입장에서나 이중성은 불완전할 수밖에 없다. 또한 계획성의 범위 내에서 이뤄지는 즉흥이 돌발적 반응으로 전개될 위험성이 크고 그로 인해 '인간배우'의 연기가 제한되는 한계에 봉착할 수 있다. 이와 같은 연구 결과를 토대로 '철학''과학' '예술'이 나란히 인공지능의 발전을 예측하여, 앞으로 나아가야 할 예술·연극의 방향과 정체성을 재정립하는 연구가 필요한 것으로 사료된다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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• pp.553-553
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• 2012

The artificial shells of hard inorganic nanocomposites on individual cells would protect the cells physically and chemically, and control cell division. These emerging properties could be combined with cell-surface functionalizations for applications to cell-based sensors and assays as well as for fundamental studies on single-cell biology. In this work, individual Chlorella cells were encapsulated within a silica/titania nanocomposite shell in a biocompatible fashion that utilized a designed peptide, RKKRKKRKKRKKDDDDDDDD, as a catalytic template for formation of both $SiO_2$ and $TiO_2$ on the cell surface. The cell viability was maintained, and the division of the encapsulated Chlorella cells was controlled. The cell viability was enhanced compared with the $TiO_2$-shell formation. In addition, the incorporation of $TiO_2$ to the shell made it possible to anchor the ligands of interest to the shell via catechol chemistry. All in all, the combination of biological $SiO_2$ and abiolgical $TiO_2$ for the shell formation gave more tunability of the artificial shells compared with the $SiO_2$ or $TiO_2$ shells only.

• Journal of Radiation Protection and Research
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• 제42권2호
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• pp.91-97
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• 2017

Background: A gamma energy identifying algorithm using spectral decomposition combined with smoothing method was suggested to confirm the existence of the artificial radio isotopes. The algorithm is composed by original pattern recognition method and smoothing method to enhance the performance to identify gamma energy of radiation sensors that have low energy resolution. Materials and Methods: The gamma energy identifying algorithm for the compact radiation sensor is a three-step of refinement process. Firstly, the magnitude set is calculated by the original spectral decomposition. Secondly, the magnitude of modeling error in the magnitude set is reduced by the smoothing method. Thirdly, the expected gamma energy is finally decided based on the enhanced magnitude set as a result of the spectral decomposition with the smoothing method. The algorithm was optimized for the designed radiation sensor composed of a CsI (Tl) scintillator and a silicon pin diode. Results and Discussion: The two performance parameters used to estimate the algorithm are the accuracy of expected gamma energy and the number of repeated calculations. The original gamma energy was accurately identified with the single energy of gamma radiation by adapting this modeling error reduction method. Also the average error decreased by half with the multi energies of gamma radiation in comparison to the original spectral decomposition. In addition, the number of repeated calculations also decreased by half even in low fluence conditions under $10^4$ ($/0.09cm^2$ of the scintillator surface). Conclusion: Through the development of this algorithm, we have confirmed the possibility of developing a product that can identify artificial radionuclides nearby using inexpensive radiation sensors that are easy to use by the public. Therefore, it can contribute to reduce the anxiety of the public exposure by determining the presence of artificial radionuclides in the vicinity.

• Macromolecular Research
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• 제11권5호
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• pp.368-374
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• 2003

Porous scaffolds composed of gelatin and polysaccharides such as hyaluronic acid and $\beta$-glucan were prepared by using the freeze-drying method after cross-linking with l-ethyl-(3-3-dimethylaminopropyl) carbodiimide hydrochloride (EDC). The scaffold had an inter-connected pore structure with the sufficient pore size for use as a support for the growth of fibroblasts. Results for the contact angle and cell attachment confirmed that high gelatin content in a mixture was suitable for cellular attachment and distribution in two- or three-dimensional fibroblast cultures. However, the addition of polysaccharides aroused the synergistic effects of morphologic and mechanical property of gelatin-based scaffolds. To prepare the artificial dermis for the wound dressing to mimic the normal human dermal skin, fibroblasts were isolated from a child's foreskin, and cultured in gelatin-based scaffolds. An in vivo study showed that the artificial dermis containing the fibroblasts enhanced the wound healing rate and re-epithelialization of a full-thickness skin defect rather than the acellular scaffold after one week.

• 한국미생물·생명공학회지
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• 제42권2호
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• pp.131-138
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• 2014

While coupling wastewater treatment with microalgal bioenergy production is very promising, new approaches are needed to enhance microalgal growth and lipid accumulation in wastewater. Therefore, this study investigated the effect of iron on the growth, nutrient removal, and lipid accumulation of Scenedesmus sp. LX1 in both artificial wastewater and domestic secondary effluents. When increasing the iron concentration from 0 to 2 mg/l in the artificial wastewater, the biomass production of Scenedesmus sp. LX1 increased from 0.17 to 0.54 g/l; the nitrogen and phosphorus removal efficiency increased from 15.7% and 80.6% to 97.0% and 99.2%, respectively; and the lipid content was enhanced 84.2%. The relationship between the carrying capacity/maximal population growth rate of Scenedesmus sp. LX1 and the initial iron concentration were also in accordance with the Monod model. Furthermore, when increasing the iron concentration to 2 mg/l in four different domestic secondary effluent samples, the lipid content and lipid production of Scenedesmus sp. LX1 was improved by 17.4-33.7% and 21.5-41.8%, respectively.

• 정보보호학회논문지
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• 제29권5호
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• pp.1019-1026
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• 2019

지속적으로 새롭게 등장하는 악성 파일(malware)탐지의 어려움으로 인해 머신러닝 기반 인공지능 백신 개발의 중요성이 크게 대두되고 있다. 하지만 현존하는 인공지능 백신은 파일의 일부 영역만을 검사하기 때문에 탐지율이 떨어진다는 단점이 존재한다. 이에 본 논문에서는 독자적인 로직을 기반으로 개발한 인공지능 백신에 근거하여, 파일 내 전체 데이터를 검사하는 방법을 제안한다. 그 중 정상 파일과 비교했을 때 악성 파일에만 존재하는 unique한 함수에서 추출한 OP Code 특징을 학습 데이터셋으로 한 진단법 강화 방안을 제시한다. 해당 강화법의 성능을 Random Forest 알고리즘을 기반으로 한 CSV 데이터셋 학습과 Inception V3 모델을 기반으로 한 이미지 데이터셋 학습으로 나누어 테스트해본 결과, 약 80%의 탐지율을 도출하는 것을 확인할 수 있었다.

• Journal of Korean Neurosurgical Society
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• 제66권6호
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

• 융합보안논문지
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• 제23권3호
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• pp.65-71
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• 2023

최근 발발한 러시아-우크라이나 전쟁을 통해 공격용 드론의 중요성이 부각되고 있다. 공격용 드론 활용은 그간의 재래식 전쟁의 통념을 깨는 게임체인저 역할을 하고 있다. 앞으로 지능화 전장에서 공격용 군집드론은 중요한 역할을 할 것으로 보인다. 이에 본 논문은 인공지능 기술을 바탕으로 향후 공격용 군집드론의 운용 발전 방향을 분석하고자 한다. 인간에 의해 운용되는 군집드론을 완전히 자율화된 군집드론으로 운용하기 위해서는 (1) 군집드론 운용에 최적화된 AI 알고리즘 적용, (2) 탈중앙식 지휘통제 방식 개발, (3) 드론 간 임무 분석 및 할당 자동화 기술 적용, (4) 드론 통신 보안 강화 및 (5) 무인화의 윤리 기준 확정이 중요하다. 세부적으로 군집드론 간의 충돌방지 및 이동형 표적을 공격하기 위한 AI 알고리즘이 필요하다. 또한, 급변하는 전장 상황에 빠르게 대처할 수 있는 탈중앙식 지휘통제 시스템 개발과 적 공격에 의한 드론 손실 발생 시 임무를 재할당 할 수 있어야 한다. 마지막으로, 군집드론의 안전한 운용을 위한 보안기술 개발 및 무인화에 따른 윤리문제 해결을 위한 기준제정이 중요하다.

• 터널과지하공간
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• 제23권6호
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• pp.561-571
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• 2013

1984년 프랑스 Soultz-sous-For$\hat{e}$ts 지역에서 시작된 Soultz 프로젝트는 2007년 11월에 1.5 MW급 Organic Rankine Cycle (ORC) binary 발전 설비가 완성되기까지 20여년에 걸쳐 인공 지열저류층 생성기술(EGS; Enhaced Geothermal System) 개발을 위한 다양한 실험과 연구가 이루어져, 그 축적된 기술은 호주의 Cooper basin, 독일의 Landau, Insheim 등의 지열발전 프로젝트에 활용되고 있다. 우리나라의 포항에서도 현재 지열발전 프로젝트가 진행되고 있는 시점에서 이 보고에서는 지열저류층 생성 측면에서 Soultz에서의 경험을 살펴보았다. 포항의 경우, 지질학적인 측면에서 Soultz의 환경과 유사한 부분이 많으며 따라서, Soultz에서의 경험과 know-how를 잘 연구하고 개선하여 적용한다면 불필요한 시행착오나 시간적, 경제적인 낭비요소를 배제할 수 있을 것이며, 이 보고가 그에 보탬이 되기를 기대한다.