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KTX 개통에 따른 암환자의 일 대학병원 입원 이용 변화 GIS분석
문홍진 ( Hong Jin Moon ),이원재 ( Won Jae Lee ),최광일 ( Kwang Il Choi ) 대한보건협회 2013 대한보건연구 Vol.39 No.2
Objectives: This study analyzed how the operation of KTX influenced for the cancer inpatients on the use of a large education hospital in Seoul. It compared residences of inpatients of the hospital from March of 2003 to February of 2004 and from March of 2005 to February of 2006 to analyze the effect of KTX. Methods: Most of the researches used GIS were static, but this study expressed the change of inpatients and KTX stations on the space. Results: The results of the study showed that the number of inpatients of the hospital increased in the areas with KTX stations and the trend seemed to be continued. Especially, major cancer patients were increased sharply. Cancer patietns from Dague, Ulsan, and Dajeon, which had KTX stations, were increased a lot in the hospital. Conclusion: Hospitals need to change their management strategies as KTX influence the choice of hospitals of the patients. Large education hospitals need to concentrate on the high difficulty medical care and mid and small hospitals need to concentrate on the mid-low difficulty services. Besides, health care delivery system should be reoriented to induce hospitals to provide adequate services by their level of technologies. Small and medium size hospitals need to provide comprehensive care for patients with chronic diseases and health promotion services as health promoting hospitals do.
ATM 교환망에서 VBR 트래픽을 위한 클럭 복원 알고리즘
문홍진(Moon Hong Jin),장성현(Chang Seong Hyun) 한국정보처리학회 1998 정보처리학회논문지 Vol.5 No.12
ATM Networks have the clock recovery problem by CDV(Cell Delay Variation) %uC5F3 %uC0C8 the queing random delay inside the network. To absorb this CDV at the receiver. SAR(Segmentation and Reassemble) header has a clock information and receiver recovers the source clock by using the header information. The random delay is caused by factors and it is particularly influenced by two parameters: loads of network and the number of switch. Because the real time VBR service needs CDV removal and exact timing between source and receiver, clock recovery schemes that consider those requirements are adequate. So far, clock recovery schemes for Circuit Emulation of CBR service are proposed. A clock recovery scheme for VBR service is not develope yet, but the scheme will be similar to that of CBR. We propose a VBR clock recovery algorithm based on the SRTS method of CBR and based on the wavelet transform. Proposed algorithm is available for AAL layer to use a VBR image service in an ATM networks. We can see that a result of simulation has a various QoS satisfying more than VBR traffic because of selecting a value which is outputted from a block of wavelet transform and sending it.
이인홍,문홍진,조동영,이완권,조현준,Lee, In-Hong,Moon, Hong-Jin,Cho, Dong-Young,Lee, Wan-Kwon,Cho, Hyun-Joon 한국정보처리학회 1997 정보처리논문지 Vol.4 No.12
시간지원 데이터 모텔은 시간 의미를 데이터 모델에 추가하여 시간에 따라 변화된 정보를 처리할 수 있는 데이터 모델이다. 시간지원 데이터 모델은 실세계에서 사건이 발생한 시간인 유효시간을 지원하는 데이터 모델과 데이터가 수록된 시간을 지원하는 거래시간 데이터 모델 그리고 거래시간과 유효시간을 모두 지원하는 이원시간 데이터 모델이 있다. 대부분의 시간지원 데이터 모델은 관계형 모델을 확장하여 시간지원 데이터를 처리할 수 있도록 설계된다. 시간지원 데이터 모델의 두부류는 시간을 결합하는 단위에 따라 튜플 타임 스탬프와 속성 타임 스탬프의 두 가지 형식이 있다. 본 논문에서는 기존의 데이터 모델에서 시간추가를 위한 기본적인 시간 개념과 시간지원 데이터 모델을 위한 고려사항을 설명하고 시간지원 데이터 모텔을 지원시간에 따라 비교하였다. 또한 유효시간이 지원되는 시간 지원 집계에 적합한 데이터 모델을 제안하고 그 성능을 분석 하였다. Temporal data model is able to handle the time varying information, which is to add temporal attributes to conventional data model. The temporal data model is classified into three models depending upon supporting time dimension, that are the valid time model to support valid time, the transaction time model to support transaction model, and the bitemporal data model to support valid time and transaction time. Most temporal data models are designed to process the temporal data by extending the relational model. There are two types or temporal data model, which are the tuple timestamping and the attribute timestamping depending on time dimension. In this research, a concepts of temporal data model, the time dimension, types of thc data model, and a consideration for the data model design are discussed Also, temporal data models in terms of the time dimension are compared. And the aggregate function model of valid time model is proposed, and then logical analysis for its computing consts has been done.
이인홍(Lee In Hong),문홍진(Moon Hong Jin),조동영(Cho Dong Young),이완권(Lee Wan Kwon),조현준(Cho Hyun Joon) 한국정보처리학회 1997 정보처리학회논문지 Vol.4 No.12
Temporal data model is able to handle the time varying information, which is to add temporal attributes to conventional data model. The temporal data model is classified into three models depending upon supporting time dimension, that are the valid time model to support valid time, the transaction time model to support transaction model, and the bitemporal data model to support valid time and transaction time. Most temporal data models are designed to process the temporal data by extending the relational model. There are two types of temporal data model, which are the tuple timestamping and the attribute timestamping depending on time dimension. In this research, a concept of temporal data model, the time dimension, types of the data model, and a consideration for the data model design are discussed. Also, temporal data models in terms of the time dimension are compared. And the aggregate function model of valid time model is proposed, and then logical analysis for its computing consts has been done.
Moon, Hong Jin 전주대학교 공학기술종합연구소 2003 전주대학교 공학기술종합연구소 학술논문집 Vol.9 No.1
통신 채널에서는 블라인드 채널 인식은 매우 중요한 문제이다 블라인드 채널 인식은 고차 통계를 이용하면 구할 수 있으나 최근에는 오버샘플링한 수신신호를 이용하거나 수신측의 안테나 어레이를 이용한 신호의 2차 통계값을 이용한 방법에 관한 많은 연구가 진행되고 있다 기존의 알고리듬은 잡음이 없는 환경에서 LS방법에 기반을 두고 있기 때문에 잡음이 강한 채널에서는 원하는 성능을 얻을 수 없는 단점이 있다. 수신신호의 상관행렬의 최소 고유값에 대응하는 고유벡터는 채널의 임펄스 응답에 관한 정보를 포함하고 있다 본 논문에서는 이러한 고유벡터를 매 시간마다 갱신시키면서 구하는 적응 알고리듬을 제안하고 이를 이용하여 블라인드 채널 인식 알고리듬을 제안한다. 제안한 알고리듬은 잡음에 강인한 특성을 보일 뿐만 아니라 기존의 알고리듬들 보다 우수한 채널 추정 성능을 보임을 모의실험을 통하여 검증하였다 Blind adaptive channel identification of communication channels is a problem of important current theoretical and practical concerns Recently proposed solutions for this problem exploit the diversity induced by antenna array or time oversampling, leading to the so-called, second order statistics techniques. And adaptive blind channel identification techniques based on a off-line least-squares approach haw been proposed but this method assuming noise-free case. The method resorts to an adaptive filer with a linear constraint. In this paper, a new approach is proposed that is based on eigenvalue decomposition. Indeed, the eigenvector corresponding to the minimum eigenvalue of the covariance matrix of the received signals contains the channel impulse response. And we present an adaptive algorithm to solve this problem The performance of the proposed technique is evaluated over real measured channel and is compared to existing algorithm.
문홍진 전주대학교 공학기술종합연구소 2000 전주대학교 공학기술종합연구소 학술논문집 Vol.6 No.1
In this paper, IDDQ test pattern generator to find test patterns which detect intra-gate shorts is implemented. In order to generate test patterns, gate test vectors which detect all intra-gate shorts of each type of gates should be found. Random test sets of 10,000 patterns are applied to circuit under test. If an applied pattern generates a required test vector of any gate, the pattern is saved as an available test pattern. When applied input patterns generate all test vectors of all gates or all 10,000 patterns are applied to circuit under test, procedure of test pattern generation is terminated. Experimental results for ISCAS'85 bench mark circuits show that implemented pattern generator is more efficient than previous pattern generators.