• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.15 no.4
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• pp.301-312
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• 2017

The concept of deep borehole disposal (DBD) for high-level nuclear wastes has been around for about 40 years. Now, the Department of Energy (DOE) in the United States (U.S.) is re-examining this concept through recent studies at Sandia National Laboratory and a field test. With DBD, nuclear waste will be emplaced in boreholes at depths of 3 to 5 km in crystalline basement rocks. Thinking is that these settings will provide nearly intact rock and fluid density stratification, which together should act as a robust geologic barrier, requiring only minimal performance from the engineered components. The Nuclear Waste Technical Review Board (NWTRB) has raised concerns that the deep subsurface is more complicated, leading to science, engineering, and safety issues. However, given time and resources, DBD will evolve substantially in the ability to drill deep holes and make measurements there. A leap forward in technology for drilling could lead to other exciting geological applications. Possible innovations might include deep robotic mining, deep energy production, or crustal sequestration of $CO_2$, and new ideas for nuclear waste disposal. Novel technologies could be explored by Korean geologists through simple proof-of-concept experiments and technology demonstrations.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.66-70
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• 2005

The full automation of welding has not yet been achieved partly because the mathematical model for the process parameters of a given welding task is not fully understood and quantified. Several mathematical models to control welding quality, productivity, microstructure and weld properties in arc welding processes have been studied. However, it is not an easy task to apply them to the various practical situations because the relationship between the process parameters and the bead geometry is non-linear and also they are usually dependent on the specific experimental results. Practically, it is difficult, but important to know how to establish a mathematical model that can predict the result of the actual welding process and how to select the optimum welding condition under a certain constraint. In this paper, an attempt has been made to develop an neural network model to predict the weld top-bead height as a function of key process parameters in the welding. and to compare the developed model and a simple neural network model using two different training algorithms in order to select an optimal neural network model.

• Korean Journal of Head & Neck Oncology
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• v.30 no.1
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• pp.10-14
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• 2014

목 적 CO2 가스 삽입 없이 내시경 보조 갑상선 절제술, 특히 액와 절개를 이용하는 경우의 대부분은 기구 사용을 용이하게 하기 위하여 흉부 또는 유륜에 절개를 넣어 시행하는 것이 대부분이다. 본 연구는 후이개 절개를 통하여 추가적 절개 없이 내시경을 이용한 갑상선 절제술 및 중심 임파선 절제술이 가능한지의 여부를 사체연구를 통하여 확인해 보고자 한다. 방 법 사체 이용 해부 및 수술 후이개 내시경 보조 갑상선 절제술이 가능한지의 확인은 수술 시야 및 접근성, 수술 완성도, 그리고 주요 구조물의 보존 여부인 3가지 항목으로 평가하였다. 결 과 수술 시야는 기구를 다루고 수술을 하기에 충분하였으며, 추가 절개 없이 수술을 완성할 수 있었다. 절제된 갑상선 조직의 피막은 손상되지 않았으며, 잔존 갑상선 조직이 없음을 수술 부위를 통하여 확인하여, 수술의 완성도 여부를 평가할 수 있었다. 모든 사체에서 되돌이 후두신경 및 상 또는 하부갑상선의 보존을 확인하였으며, 주변 구조물들의 손상이 없음을 확인하였다. 결 론 로봇이 아닌 후이개 절개를 이용한 내시경 보조 갑상선 절제술은 시행 가능한 접근법 및 수술방법이라 사료된다.