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심리 ·행태를 고려한 지하주차장 계획에 관한 연구 : 아파트 단지내 주차장을 중심으로 focused on parking space in apartment complexes
이상구,윤충열 대한건축학회 2000 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.20 No.2
With steady economic growth and the improvement of income level, the rate of the spread of cars has keen suddenly increased. But, the underground parking space is required by the serious difficulty of parking caused by insufficient space for parking in apartment complexes. Therefore, this is to suggest a theory of desirable direction for parking planning by studying the psychologied characteristics and user' behavior by the circulation of cars and pedestrians and suggesting reform measures. Study an the present situation and actual conditions of underground parking space and, the most important problem, the consciousness and parking habit of residents are required in this study.
소뇌-교각종양 수술시 수술 중 전기생리학적 신경감시에 따른 수술 후 기능적 결과
이상구,박관,박익성,서대원,엄동옥,남도현,이정일,김종수,홍승철,신형진,어환,김종현,Lee, Sang Koo,Park, Kwan,Park, Ik Seong,Seo, Dae Won,Uhm, Dong Ok,Nam, Do-Hyun,Lee, Jung-Il,Kim, Jong Soo,Hong, Seung Chyul,Shin, Hyung Jin,Eoh, Whan,Kim, 대한신경외과학회 2000 Journal of Korean neurosurgical society Vol.29 No.6
Objectives : Intraoperative neurophysiologic monitoring(INM) is a well known useful method to reduce intraoperative neurological complications during neurosurgical procedures. Furthermore, INM is required in most cerebellopontine angle(CPA) surgery because cranial nerves or brain stem injuries can result in serious complications. Object of this study is to the correlation between the changes of intraoperative monitoring modalities during cerebellopontine angle tumor surgery and post-operative functional outcomes in auditory and facial functions. Material and Methods : Fifty-seven patients who underwent intraoperative neurophysiologic monitoring during CPA tumor surgery were retrospectively reviewed. Their lesions were as follows ; vestibular schwannomas in 42, other cranial nerve schwannomas in seven, meningiomas in five and cysts in three cases. Pre- and postoperative audiologic examinations and facial nerve function tests were performed in all patients. Intraoperative neurophysiologic monitoring modalities includes brainstem auditory evoked potentials(BAEP) and facial electromyographies(EMG). We compared the events of INM during CPA tumor surgeries with the outcomes of auditory and facial nerve functions. Results : The subjects who had abnormal changes during CPA tumor surgery were twenty cases with BAEP changes and facial EMG changes in twenty one cases. The changes of intraoperative neurophysiologic monitoring did not always result in poor functional outcomes. However, most predictable intraoperative monitoring changes were wave III-V complex losses in BAEP and continuous neurotonic activities in facial EMG. Conclusion : These results indicate that intraoperative neurophysiologic monitoring in CPA tumor surgery usually provide predictive value for postoperative functional outcomes.
뉴로-퍼지 알고리즘을 이용한 원격탐사 화상의 지표면 패턴 분류시스템 구현
이상구 한국지능시스템학회 1999 한국지능시스템학회논문지 Vol.9 No.5
본 논문에서는 뉴로-퍼지 알고리즘을 이용한 원격탐사 화상의 지표면 패턴분류기를 제안한다. 제안된 패턴 분류기는 일반적인 퍼지 인식기를 가지고 있는 3층 전방향 신경회로망 구조로 되어 있고 가중치들은 퍼지집합으로 구성된다. 이러한 퍼지-뉴로 패턴분류 시스템을 Visual C++ 환경을 구현한다. 성능평가를 위해 기존의 역전파 학습기능을 가진 신경회로망과 Maximum-likelihood 알고리즘을 이용해처리한 결과와비교분석한다. 대표적인 지표면 특징을 나타내는 8개의 클래스에 대해 훈련집합을 선정하고 각각의 분류 알고리즘에 같은 훈련집합을 사용하여 학습시킨 후 실험화상을 적용하여 지표면 특징을 8개의 클래스로 분류하였다. 실험결과 제안된 뉴로-퍼지 분류기는 여러개의 클래스로 혼합된 패턴에 대해서 기존의 분류기들에 비해 보다 더 좋은 성능을 보인다. In this paper, we propose a land cover pattern classifier for remote sensing image by using neuro-fuzzy algorithm. The proposed pattem classifier has a 3-layer feed-forward architecture that is derived from generic fuzzy perceptrons, and the weights are con~posed of h u y sets. We also implement a neuro-fuzzy pattern classification system in the Visual C++ environment. To measure the performance of this, we compare it with the conventional neural networks with back-propagation learning and the Maximum-likelihood algorithms. We classified the remote sensing image into the eight classes covered the majority of land cover feature, selected the same training sites. Experimental results show that the proposed classifier performs well especially in the mixed composition area having many classes rather than the conventional systems.