• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2000.11a
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• pp.10-10
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• 2000

Mechanical alloying (MA) is a powder metallurgy processing technique involving cold welding, fracturing, and rewelding of powder particles in a high-energy ball mill. This has now become an established commercial technique in producing oxide dispersion strengthened (ODS) nickel- and iron-based materials. The technique of MA is also capable of synthesizing non-equilibrium phases such as supersaturated solid solutions, metastable crystalline and quasicrystalline intermetallic phases, nanostructures, and amorphous alloys. In this respect, the capabilities of MA are similar to those of another important non-equilibrium processing technique, viz, rapid quenching of metallic melts. however, the science of MA is being investigated only during the past ten years or so. The technique of mechanochemistry, on the other hand, has had a long history and the materials produced this way have found a number of technological applications, e.g., in areas such as hydrogen storage materials, heaters, gas absorber, fertilizers. catalysts, cosmetics, and waste management. The present talk will concentrate on the basic mechanisms of formation of non-equilibrium phases by the technique of MA and these aspects will be compared with those of rapid quenching of metallic melts. Additionally, the variety of technological applications of mechanically alloyed products will be highlighted.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.34D no.10
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• pp.68-76
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• 1997

In this paper, design parameters of rapid thermal processing(RTP) to minimize the wafer temperature uniformity errors are proposed. Lamp ring positions and the wafer height are important parameters for wafer temperature uniformity in RTP. We propose the method to seek lamp ring positions and the wafer gheight for optimal temperature uniformity. The proposed method is applied to seek optimal lamp ring positions and the wafer feight of 8 inch wafer. To seek the optimal lamp ring positions and the wafer height, we vary lamp ring positions and the wafer height and then formulate the wafer temperature uniformity problem to the linear programming problem. Finally, it is shown that the wafer temperature uniformity in RTP designed by optimal problem. Finally, it is hsown that the wafer temperature uniformity is RTP designed by optimal parameters is improved to comparing with RTP designed by the other method.

• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1044-1056
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• 2021

Globalization has integrated the world through interaction among countries and people with the help of information and telecommunication technology (ICT). The rapid mode of globalization has put a new life in ICT and economic sector. The key focus of this study is to examine the nexus among the globalization, ICT and economic growth. This study uses autoregressive distributed lag model (ARDL), vector error correction model (VECM) and econometric method spanning from 1990 to 2015. The empirical result highlights that the globalization stimulates economic growth of a country. In addition, both the internet penetration and the mobile phone usage contribute to the economic growth. Lastly, this article contributes important policy lessons on strengthening the economy by utilizing ICT with the rapid globalization.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.233-239
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• 2022

Recently, research is being conducted on the rapid service provision and reliability of the instance-based rather than the existing IP-based structure. Research is mainly conducted through Block cloud, a platform that combines service-centric networking (SCN) and blockchain. In addition, the Internet of Things network has been proposed as a fog computing environment in the structure of the existing cloud computing. Fog computing is an environment suitable for real-time information processing. In this paper, we propose a new Internet network structure based on fog computing that requires real-time for rapid processing of IoT services. The proposed system applies IoTA, the third-generation blockchain based on DAG, to the block cloud. In addition, we want to propose a basic model of the object block chain and check the application services of electric vehicles.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.64-67
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• 2010

프로토타이핑 시스템 설계에서 프로토타이핑은 실제 모델과 같은 초기 모형을 뜻하는 것으로 개발 초기에 시스템의 모형을 간단히 만들어 사용자에게 제시하여 사용자로 하여금 실제 작동시켜 기능의 추가, 변경 내지 삭제를 요구하도록 하여 시스템을 점차적으로 개선시켜 나가도록 하는 방식을 말한다. 가상 프로토타이핑은 임베디드 소프트웨어 개발 초기단계에서 사용자 혹은 의뢰자의 요구사항들을 효과적으로 추출할 수 있도록 고안된 시스템 요구 및 제약조건 추출 방법론이다. 본 논문에서는 가상 프로토타이핑 기법을 이용하여 멀티미디어 플레이어의 다양한 기능을 시뮬레이션 할 수 있는 가상 프로토타입을 설계 및 구현한다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.12
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• pp.1865-1869
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• 1990

N-Channel polysilicon MOSFETs (W/L=20/1.5, 3, 5.10\ulcorner) were fabricated using RTP (Rapid Thermal Processor) and hydrogen passivation. The N+ source, drain and gate were annealed and recrystallized using RTP at temperature of 1000\ulcorner-1100\ulcorner. But the active areas were not specially crystallized before growing the gate oxide. Without the hydrogen passivarion, excellent transistor characteristics (ON/OFF=5.10**6, S=85MV/DEC, IL=51pA/\ulcorner) were obtained for 1.5\ulcorner MOSFET. Also the transistor characteristics were improved by hydrogen passivation.

• Speech Sciences
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• v.12 no.1
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• pp.7-14
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• 2005

This study investigated the reading ability of Korean second-graders and the relationship between reading and phonological awareness and RAN (Rapid Automatized Naming) ability. A language-based reading assessment battery was used. Children at the end of the Korean second-grade were still at the developmental stage of decoding skill and seemed to be at Chall's stage 1. Findings indicated significant correlations between reading ability and phonological awareness and between reading ability and RAN ability. Therefore, the importance of phonological processing could be extended to syllable-based alphabetic languages.

• Journal of information and communication convergence engineering
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• v.17 no.4
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• pp.239-245
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• 2019

Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.

• Proceedings of the Korean Vacuum Society Conference
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• 1995.02a
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• pp.21-21
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• 1995

• Transactions of Materials Processing
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• v.14 no.3 s.75
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• pp.187-199
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• 2005