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임준호,김상우,윤호규 한국공업화학회 2020 한국공업화학회 연구논문 초록집 Vol.2020 No.-
In order to improve corrosion resistance, heat resistance and abrasion resistance of metal, wood, fiber plastic, etc., a ceramic coating film is formed on the surface. Liquid ceramic coatings are manufactured by adding functional filler materials suitable for each purpose to a thermoplastic or thermosetting polymer resin that can be dissolved in a solvent in order to extend the function or life of the substrate material. Here, in order to solve the peeling or destruction of the coating film that occurs during high-temperature firing of liquid ceramic coatings, we introduce a nanocomposite ceramic coating agent for low-temperature firing that can be fired at low temperatures. This makes it possible to easily form flame-retardant/non-flammable coatings with high heat resistance on various substrates of a large area without high-temperature firing
Classifying Biomedical Literature Providing Protein Function Evidence
임준호,이규철 한국전자통신연구원 2015 ETRI Journal Vol.37 No.4
Because protein is a primary element responsible for biological or biochemical roles in living bodies, protein function is the core and basis information for biomedical studies. However, recent advances in bio technologies have created an explosive increase in the amount of published literature; therefore, biomedical researchers have a hard time finding needed protein function information. In this paper, a classification system for biomedical literature providing protein function evidence is proposed. Note that, despite our best efforts, we have been unable to find previous studies on the proposed issue. To classify papers based on protein function evidence, we should consider whether the main claim of a paper is to assert a protein function. We, therefore, propose two novel features — protein and assertion. Our experimental results show a classification performance with 71.89% precision, 90.0% recall, and a 79.94% F-measure. In addition, to verify the usefulness of the proposed classification system, two case study applications are investigated — information retrieval for protein function and automatic summarization for protein function text. It is shown that the proposed classification system can be successfully applied to these applications.
등에 발생한 흉수신경 배부가지 신경종의 외과적 치료: 증례 보고
임준호,은석찬 대한수부외과학회 2020 대한수부외과학회지 Vol.25 No.1
A neuroma is a benign tumor caused by irregular or disorganized regeneration of nerve tissue after nerve injury. It sometimes causes severe symptoms and thus deteriorates the quality of life. There are few reports of truncal neuromas and its surgical treatment with the outcome. The authors report a case of a surgically improved traumatic neuroma in a 77-year-old man presented with dysesthesia of the back skin medial to the left scapula. 신경종은 신경조직에서 유래된 양성 종양으로, 신경이 손상된 부위에서 신경세포가 무질서하게 성장하여 발생한다. 신경종은 간혹 심한 증상을 유도하여 삶의 질에 큰 악영향을 끼치기도 한다. 한편, 몸통의 신경종과 그 치료에 대한 보고는 드물다. 이에 저자들은 좌측 어깨뼈 안쪽 배부 피부 이상 감각으로 내원한 77세 남자 환자에서 외상성 신경종을 의심하고 이를 신경봉합으로 호전시킨 증례를 보고하고자 한다.
임준호,채수익 대한전자공학회 1995 전자공학회논문지-B Vol.b32 No.3
Multilayer neural networks with backpropagation learning algorithm are widely used for pattern classification problems. For many real applications, it is more important to reduce the misclassification rate than to increase the rate of successful classification. But multilayer perceptrons(MLP's) have drawbacks of slow learning speed and false convergence to local minima. In this paper, we propose a new method for character recognition problems with a single-layer network and double rejection mechanisms, which guarantees a very low misclassification rate. Comparing to the MLP's, it yields fast learning and requires a simple hardware architecture. We also introduce a new coding scheme to reduce the misclassification rate. We have prepared two databases: one with 135,000 digit patterns and the other with 117,000 letter patterns, and have applied the proposed method for printed character recognition, which shows that the method reduces the misclassification rate significantly without sacrificing the correct recognition rate.