• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Korean Journal of Materials Research
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• v.6 no.1
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• pp.67-78
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• 1996

제 3원소가 첨가된 금속간 화합물 TiAI 금속간 화합물 분말을 PREP법(플라즈마 회전전극법)으로 제조하여, 통.방전 강압소결법에 의해 치밀한 소결체를 만들었다. 이에 대해 첨가 원소의 종류와 열처리에 따른 고온 및 상온 압축 특성의 변화를 조사하였다. 소결체의 미세조직은 ${\gamma}$/$\alpha$2 lamella로 이루어진 완전 변태구조였고, 결정립의 크기는 140-150$\mu\textrm{m}$였으며 계단형 결정립계를 나타내었다. 소결체를 ($\alpha$+${\gamma}$)구역인 130$0^{\circ}C$에서 2시간 동안 열처리한 결과, 모든 조성의 시편이 등축점 ${\gamma}$와 lamella로 이루어진 전형적인 duplexrn조로 변태하였다. 상온 압축 시험에서 시편은 파괴될 때까지 가공경화 현상이 나타났으며, Cr을 첨가한 시편이 가장 큰 파괴응력과 변형률을 나타내었다. 한편, 고온 압축 시험의 경우 온도상승 때문에 가공경화의 속도가 감소되었고, 80$0^{\circ}C$에서는 가공경화와 회복이 균형을 이루는 소위 정상 상태의 변형을 보였다.

• Korean Journal of Materials Research
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• v.8 no.1
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• pp.45-51
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• 1998

Ti-45at%AI-1.6at%Mn 조성을 갖는 금속간화합물의 장시간 및 반복산화 거동을조사하기 위하여 반응소결법 및 플라즈마 아크 용해법으로 제조한 시편에 대하여 80$0^{\circ}C$에서는 반응소결재와 용제재 모두 등온 및 반복산화에 대하여 우수한 저항성을 나타내었다. 90$0^{\circ}C$에서는 반응소결재의 경우에는 등온 및 반복산화에 대하여 우수한 저항성을 보였으며, 중량변화와 산화피막의 박리는 극히 적었다. 이에 비해 용제재의 경우에는 등온 및 반복산화에 의해 중향이 크게 변하였으며 피막의 박리도 극심하였다. 90$0^{\circ}C$에 있어서 두 재료간의 이러한 산화거동 차이는 기지/산화물 계면 부근에 형성된 산화층의 차이에 기인하는 것으로 간주하였다. 반응소결재의 경우에는 계면 부근에 연속적인 AO$_{3}$O$_{3}$층이 형성되며, 이러한 층이 산화에 대한 보호막으로 작용하는데 비하여 용제재에 있어서는 계면 부근에 AO$_{3}$O$_{3}$와 TiO$_{2}$의 혼합층이 형성되었다. 용제재의 반복산화시에 보여진 피막의 박리는 냉각시에 TiO$_{2}$와 기지간의 열팽창계수 차이에 기인하여 발생하는 열응력을 TiO$_{2}$가 견디지 못하고 박리를 초래한 것으로 해석하였다.

• Electronics and Telecommunications Trends
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• v.35 no.2
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• pp.28-37
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• 2020

Recently, the focus of research interest in artificial intelligence technology has shifted from algorithm development to application domains. Industrial sectors such as smart manufacturing, transportation, and logistics venture beyond automation to pursue digitalization of sites for intelligence. For example, smart manufacturing is realized by connecting manufacturing sites, autonomous reconfiguration, and optimization of manufacturing systems according to customer requirements to respond promptly to market needs. Currently, KSB Convergence Research Department is developing BeeAI-an on-site end-to-end intelligence platform. BeeAI offers end-to-end service pipeline configuration and DevOps technologies that can produce and provide intelligence services needed on-site. We are hopeful that in future, the BeeAI technology will become the base technology at various sites that require automation and intelligence.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.177-182
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• 2019

As progress of technology, Artificial Intelligence is applied in various fields of industry such as finance, production, medical treatment, service, art by changing the way they look continuously. As AI is progressive area, We have to know what kind of changing is merged in human society by AI. In this paper, through the investigations of Artificial Intelligence's concept and the way Artificial Intelligence's technology is implemented in modern industry, we studied positive effect and negative effect of AI. By this study, In conclusion, by realizing how close Artificial Intelligence had come to our life, we can prepare to seek a foothold to deal with this Artificial Intelligence.

• Proceedings of the Korean Society For Composite Materials Conference
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• 1999.11a
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• pp.107-110
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• 1999

본 연구에서는 진공압추출법에 의해 제조되는 알루미나(AI$_2$O$_3$) 단섬유예비성형체의 제조공정시 발생하는 섬유들의 배향분포의 특징을 2차원 수치모사를 통해 밝혔다. 수치해석은 섬유의 배향분포를 2차원으로 가정한 후 제조공정시 섬유들이 적층되는 현상을 섬유의 낙하, 회전, 미끄러짐, 이동의 단계의 나누어 모델링하였다. 해석결과 섬유의 배향과 부피분율은 섬유의 종횡비(길이/지름)에 의해 크게 영향을 받으며, 배향 분포는 정규분포와 유사한 것으로 밝혀졌다.

• Korean Journal of Materials Research
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• v.6 no.4
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• pp.421-427
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• 1996

초미립 SiC 분말을 2차상으로 Si3N4에 첨가하여 SiC/Si3N4 나노 복합체를 핫프레스법과 가스압소결고 제조하였다. 2차상으로 첨가한 SiC의 입자 크기가 $\beta$-Si3N4 나노 복합체를 제조할 수 있었다. 사온에서 80$0^{\circ}C$까지는 강도의 100$0^{\circ}C$이상에서는 강도는 급격한 감소를 보였으며 이는 소결조제로 첨가한 AI2O3, Y2O3와 SiO2가 $\beta$-Si3N4의 입계에 유리상을 형성하였기 때문에 해석된다.

• Korean Journal of Materials Research
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• v.14 no.3
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• pp.163-167
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• 2004

TiAl(La)N thin films were oxidized in vacuum of about 7 Pa to reduce the oxidation of WC-Co as a substrate. The oxidation rate constants of the thin films were quantified by an assumption of parabolic oxidation. Increasing AI content significantly decreased the parabolic oxidation rate constant. A simultaneous addition of AI and La was more effective to reduce the oxidation rate. The parabolic oxidation rate constant of $Ti_{0.66}$ $Al_{0.32}$ $La_{ 0.02}$N thin film at 1273 K showed about ten times lower than that of TiN. The addition of a small amount of La with Al induced the preferential formation of dense $\alpha$ $-Al_2$$O_3$ film in oxide film, leading to the abrupt reduction of oxidation rate.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.48 no.8
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• pp.577-579
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• 1999

DLC film remaining on device surface could be removed by eliminating AI sacrificial layer as a final step of lift-off process in the fabrication of DLC-coated Si-tip FEA. The field emission properties(I-V curves, hysteresis, and current fluctuation etc.) of the processed device were analyzed and the process was employed to 1.76 inch-sized FEA panel fabrication in order to evaluate its FED applicability.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.1
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• pp.52-57
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• 2005

In the foe of global competition, the requirements for the continuously increasing productivity, flexibility and quality(dimensional accuracy, mechanical properties and surface properties) have imposed a mai or change on steel manufacturing industries. Indeed, one of the keys to achieve this goal is the automation of the steel-making process using AI(Artificial Intelligence) techniques. The automation of hot rolling process requires the developments of several mathematical models for simulation and quantitative description of the industrial operations involved. In this paper, an on-line training neural network for both long-term teaming and short-term teaming was developed in order to improve the prediction of rolling force in hot rolling mill. This analysis shows that the predicted rolling force is very closed to the actual rolling force, and the thickness error of the strip is considerably reduced.