• Journal of Digital Contents Society
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• v.17 no.6
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• pp.449-459
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• 2016

This paper proposes a new method to improve the three problems of existing automatic composition method using artificial neural networks. The first problem is that the existing beat post-processing to fit into music theories could not handle all the cases of occurring. The second one is that the pitch space generated by artificial neural networks is distorted because the rest is trained with the pitch on the same neural network with large values. The last problem is caused by the difference between the initial melody and beats given by user and those generated by an artificial neural network in the process of new composition. In order to treat these problems, we propose an enhanced post-processing of beats, initial melody processing, and adoption of artificial neural network for rest. It was found from experiments that the proposed methods totally resolved the three problems.

• Journal of Biomedical Engineering Research
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• v.23 no.4
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• pp.287-293
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• 2002

For non-contact nerve stimulations using time varying magnetic field, high amplitude current pulses have to be applied to a magnetic nerve stimulation coil. To increase the magnetic stimulation frequency we have to increase both power supply capacity and cooling capacity of the magnetic nerve stimulator. To alleviate these problems. we propose a new magnetic nerve stimulation coil design methods. Utilizing magnetic mirror effect of a ferro-magnetic plate attached to a magnetic stimulation coil. we have improved efficiency of the stimulation coil. We have analyzed magnetic mirror effect for various kinds of stimulation coils using the finite element method, and we present experimental results obtained with several kinds of stimulation coils.

• Archives of Hand and Microsurgery
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• v.23 no.4
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• pp.313-318
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• 2018

Although nerve injury is the most common complication of pneumatic tourniquets, it is said to be rare, with few case reports. We describe two cases of paralysis after upper extremity surgery to highlight this risk. Ulnar, median and radial neuropathies were diagnosed after surgery was performed on a man for left hand reconstruction, presumably due to a prolonged total inflation time of 14 hours despite conventional break times. A woman who received surgery for a crushed hand presented with radial neuropathy, the most probable cause being malfunction and automatic inflation of the tourniquet. These cases illustrate the diversity of tourniquet paralysis, with symptomatic progress not necessarily following electromyography results. The considerable discomfort to patients warrants careful use of tourniquets for neuropathy prevention.

• Journal of Chest Surgery
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• v.30 no.7
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• pp.729-732
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• 1997

A case of chest wall malignant peripheral nerve sheath tumor(MPNST) was reported in the U.S.A by Mark and coworkers6)(1991), but none in korea. MPNST accounts for approximately 10% of all soft tissue sarcoma, mostly in patients between 20 and 50 years of age. MPNST arises in association with a major nerve trunk, including the sciatic nerve, brachial plexus, and sacral plexus and the most common anatomical site is the proximal portion of the upper and lower extremity and trunk. Surgical treatment is local excision of mass in low grade sarcoma but unblock resection is necessary in high grade sarcoma. We experienced multiple huge low grade MPNST on left chest wall of a 50 years old man. The tumor and invalved chest wall were removed, and the chest wall defect(15$\times$8 cm) was reconstructed with Teflon. Postoperative course was unevenful.

• Information and Communications Magazine
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• v.33 no.10
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• pp.40-48
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• 2016

본고에서는 최근 활발하게 연구되고 있는 심층 학습에 대하여 알아본다. 기계 학습 분야 중 하나인 심층 학습은 인공 신경망의 한 형태인 심층 신경망을 통해 구현된다. 심층 신경망은 기존 다층 신경망의 구조와 거의 유사한 학습 구조를 가지지만, 학습 과정에서 발생하는 부정확한 학습 문제를 해결함으로써 최근의 성공을 이끌어낼 수 있었다. 본고에서는 다층 신경망이 가지고 있던 문제점들을 심층 신경망에서 어떻게 극복하였는지 심층 신경망의 발전 과정을 통해 알아보고, 기계 학습의 기본개념을 바탕으로 이를 설명하여 비전문가들의 이해를 돕고자 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.477-480
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• 2005

본 논문에서는 신경망과 유전자 알고리즘의 장점을 결합하고, 개선된 유전자 알고리즘 기반의 역전파 신경망 알고리즘을 이용한 신경망 학습 효과를 살펴 본다. 유전자 알고리즘을 이용한 신경망 학습은 비선형 함수를 이용하여 발생시킨 모의 자료를 통하여 수행하고 학습 수렴의 정도와 학습 속도 등을 비교할 수 있는 모의실험 결과를 일반 신경망 학습 결과와 함께 제시한다. 모의실험의 결과로서 유전자 알고리즘을 적용한 신경망 제어기가 일반 신경망 학습 결과보다 수렴 정확도 및 학습 속도에서 더 좋은 결과를 나타내 주고 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.5
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• pp.426-432
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• 2001

This paper is implementation of cellular automata neural network system using evolving hardware concept. This system is a living creatures'brain based on artificial life techniques. Cellular automata neural network system is based on the development and the evolution, in other words, it is modeled on the ontogeny and phylogney of natural living things. The phylogenetic mechanism are fundamentally non-deterministic, with the mutation and recombination rate providing a major source of diversity. Ontogeny is deterministic and local physics. Cellular automata is developed from initial cells, and evaluated in given environment. And genetic algorithms take a part in adaptation process. In this paper we implement this system using evolving hardware concept. Evolving hardware is reconfigurable hardware whose configuration si under the control of an evolutionary algorithm. We design genetic algorithm process for evolutionary algorithm and cells in cellular automata neural network for the construction of reconfigurable system. The effectiveness of the proposed system if verified by applying it to Exclusive-OR.

• The Journal of Korean Orthopaedic Ultrasound Society
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• v.5 no.2
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• pp.106-112
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• 2012

Radial nerve palsy after surgery of humerus fracture is uncommon complication. Occasionally it needs operative treatment because of difficulty to accurate evaluation. We report this case of radial nerve palsy after surgery of humerus shaft fracture with ultrasound examination. We checked the continuity of radial nerve and radial nerve palsy was complete recovered with conservative treatment.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.53-56
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• 2000

무제한 어휘 음성합성 시스템의 문-음성 합성기는 합성음의 자연감을 높이기 위해 여러 가지 방법을 사용하게되는데 그중 하나가 자연음에 내재하는 운을 법칙을 정확히 구현하는 것이다. 합성에 필요한 운율법칙은 언어학적 정보를 이용해 구현하거나, 자연음을 분석해 구한 운을 정보로부터 운율 법칙을 추출하여 합성에 이용하고 있다. 이와 같이 구한 운을 법칙이 자연음에 존재하는 운율 법칙을 전부 반영하지 못했거나, 잘못 구현되는 경우에는 합성음의 자연성이 떨어지게 된다. 이런 점을 고려하여 우리는 자연음의 운율 정보를 이용해 인공 신경망을 훈련시켜, 문장단위 운율을 발생시킬 수 있는 방식을 제안하였다. 운율의 세 가지 요소는 피치, 지속시간, 크기 변화가 있는데, 인공 신경망은 문장이 입력되면, 각 해당 음소의 지속시간에 따른 피치 변화와 크기 변화를 학습할 수 있도록 설계하였다. 신경망을 훈련시키기 위해 고립 단어 군과 음소균형 문장 군을 화자로 하여금 발성하게 하여, 녹음하고, 분석하여 구한 운을 정보를 데이터베이스로 구축하였다. 문장 내의 각 음소에 대해 지속시간과 피치 변화 그리고 크기 변화를 구하고, 곡선적응 방법을 이용하여 각 변화 곡선에 대한 다항식 계수와 초기치를 구해 운을 데이터베이스를 구축한다. 이 운을 데이터베이스의 일부를 인공 신경망을 훈련시키는데 이용하고, 나머지를 이용해 인공 신경망의 성능을 평가한 결과 운을 데이터베이스를 계속 확장하면 좀더 자연스러운 운율을 발생시킬 수 있음을 관찰하였다.

• Journal of Chest Surgery
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• v.37 no.1
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• pp.84-87
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• 2004

Neurogenic tumors of brachial plexus are rare lesions. Recently 1 experienced a case of Schwannoma arising from the brachial plexus. Thirtyfour-year-old man presented with a slow-growing mass on the left supraclavicular area. Magnetic resonance imaging revealed a well demarcated solid mass on posterosuperior aspect of the left subclavian artery. During operation, a well-encapsulated mass was seen beneath the brachial plexus. 1 performed intracapsular enucleation of the tumor from the none in an effort to avoid damaging none fibers as much as possible. Post-operative neurological deficit was not found.