• 한국임상수의학회지
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• 제34권5호
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• pp.388-391
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• 2017

A 8-month-old, spayed female, Domestic shorthair cat lived in a shelter was presented with pelvic limbs ataxia and dysuria. Serum biochemical profile abnormalities were hyperproteinemia and decreased albumin/globulin (A:G) ratio (0.70). Results of cerebrospinal fluid (CSF) analysis were mixed cells pleocytosis with predominance neutrophils and an increase in protein concentration. In addition, feline coronavirus was detected by realtime RT-PCR in CSF. Magnetic resonance imaging (MRI) findings revealed lesions of the lumbar spinal cord. Based on clinical signs, MR finding, CSF analysis and realtime RT-PCR result in CSF, this case was diagnosed as feline infectious peritonitis (FIP) associated meningomyelitis. Although prednisolone and mycophenolate mofetil were administrated, clinical signs were not resolved and progressed to tetraplegia and coma status. This case presentation describes that feline infectious peritonitis virus could affect the lumbar spinal cord only and cause meningomyelitis with pelvic limbs ataxia without other neurological signs.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1571-1576
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• 2005

DCS has many processing components and various communication elements. And its communication delay characteristic is affected diverse operating situation and context. Especially, binding signal which traversed from one control-node to another control-node undergo all sort of delay conditions. So its delay value has large deviation with the lapse of time, and the measurement of delay statistics during long time is very difficult by using general oscilloscope or other normal instruments. This thesis introduces the design and implementation of PC-based BDAS(Binding Delay Analysis System) System developed to overcomes these hardships. The system has signal-generator, IO-card, data-acquisition module, delay-calculation and analyzer module, those are implemented on industrial standard PC/Ethernet hardware and Windows/Linux platforms. This system can detect accurate whole-system-wide delay time including io, control processing and network delay, in the resolution of msec unit, and can analyze each channel's delay-historic data which is maintained by realtime database. So, this system has strong points of open system architecture, for example, user-friendly environment, low cost, high compatibility, simplicity of maintenance and high extension ability. Of all things, the measuring capability of long-time delay-statistics obtained through historic-DB make the system more valuable and useful, which function is essential to analyze accurate delay performance of DCS system. Using this system, the verification of delay performance of DCS for nuclear power plants is succeeded in KNICS(Korea Nuclear Instrumentation & Control System) projects

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.299-302
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• 2001

The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of$.$10 persons show that the proposed method yields high recognition rates.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.366-368
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• 2006

Electronic warfare Support(ES) system measures pulse characteristics for received RF signals that received from all directions. ES system discriminates the pulse trains that have a rule, correlationship, continuance from collected data and analyze the characteristics of the data, and identify the emitters by comparison with emitter identification data(EID). Because pulse density is very high and various signal source exists at modem signal environments, high-speed and accurate signal analysis is needed for realtime countermeasure to emitters. Grouping alleviates the load of signal analysis process and supports reliable analysis. In this paper, we suggest an adaptive clustering scheme regarding signal patterns.

• Spatial Information Research
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• 제17권1호
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• pp.25-37
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• 2009

최근 인명과 재산을 보호할 수 있는 중요한 분야인 안전 운전 서비스를 위해 GIS 및 텔레매틱스 기술에 USN을 활용하는 연구가 증가하고 있다. 본 논문에서는 이러한 안전 운전 서비스를 위한 연구의 하나로, USN을 활용하여 굴곡 도로에서 발생할 수 있는 위험을 분석하고 사고를 예방하기 위한 기술을 제안한다. 위험 분석 기술은 크게 모델링과 알고리즘으로 구성된다. 모델링으로는 굴곡 도로, 도로 방향, 센서, 차량, 위험에 대한 모델을 제안하고, 알고리즘으로는 위험을 분석하고 경고할 수 있는 다중 레벨 위험 분석 알고리즘을 제안한다. 그리고, 제안한 모델링과 알고리즘에 대한 시뮬레이션 응용 프로그램을 구현한다.

• Journal of Computing Science and Engineering
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• 제5권1호
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• pp.85-110
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• 2011

Achieving situation awareness is especially challenging for real-time data stream applications because they i) operate on continuous unbounded streams of data, and ii) have inherent realtime requirements. In this paper we showed how formal data stream modeling and analysis can be used to better understand stream behavior, evaluate query costs, and improve application performance. We used MEDAL, a formal specification language based on Petri nets, to model the data stream queries and the quality-of-service management mechanisms of RT-STREAM, a prototype system for data stream management. MEDAL's ability to combine query logic and data admission control in one model allows us to design a single comprehensive model of the system. This model can be used to perform a large set of analyses to help improve the application's performance and quality of service.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2002년도 춘계학술대회 논문집
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• pp.69-75
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• 2002

본 논문에서는 SNMP를 이용하여 네크워크 트래픽을 실시간으로 모니터링하는 시스템을 제안하였다. 제안된 시스템은 네트워크 정보를 수집하여 분석하고, 실시간 모니터 링을 지원하는 분석 서버 시스템과 분석된 결과를 그래픽적으로 보여주는 클라이언트 시스템으로 구성된다. 분석 서버 시스템은 클라이언트 시스템의 분석 요구에 따라 네트워크 트래픽의 정보를 수집하여 분석하고 응답한다. 클라이언트 시스템은 사용자의 관리요청에 대한 사용자 인터페이스 기능과 분석된 결과를 출력하는 기능이 있으며, 실제 네트워크 상에서의 활용성을 높이기 위해 웹 기반 기술을 적용하였다. 제안된 시스템은 사용자가 웹을 통해 네트워크 상의 관리 행위를 효과적으로 수행할 수 있도록 도움을 줄 것이다.

• International Journal of Control, Automation, and Systems
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• 제4권5호
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• pp.592-600
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• 2006

The pattern recognition of the complicated grasping operation based on electroencephalography (simply named as EEG) is very helpful on realtime control of the robotic hand. In the paper, a new spectral feature analysis method based on Band Pass Filter (simply named as BPF) and Power Spectral Analysis (simply named as PSA) is presented for discriminating the complicated grasping operations. By analyzing the spectral features of grasping operations with the use of the two-channel EEG measurement system and the pattern recognition of the BP neural network, the degree of recognition by the traditional spectral feature method based on FFT and the new spectral features method based on BPF and PSA could be compared. The results show that the proposed method provides highly improved performance than the traditional one because the new method has two obvious advantages such as high recognition capability and the fast learning speed.

• 한국지능시스템학회논문지
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• 제11권9호
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• pp.822-826
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• 2001

The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of 10 persons show that the proposed method yields high recognition rates.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1297-1309
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• 2016

In this paper, an efficient connected component labeling (CCL) method was proposed. The proposed method is based on GPU parallelism. The CCL is very important in various applications where images are analysed. However, the label of each pixel is dependent on the connectivity of adjacent pixels so that it is not very easy to be parallelized. In this paper, a GPU-based parallel CCL techniques were proposed and applied to the analysis of radar signal. Since the radar signals contains complex and large data, the efficiency of the algorithm is crucial when realtime analysis is required. The experimental results show the proposed method is efficient enough to be successfully applied to this application.