• Title/Summary/Keyword: Domain component

Search Result 609, Processing Time 0.027 seconds

Autonomic Nervous Properties of Atropine and Glycopyrrolate on Heart Rate Variability during Anesthesia with Ketamine-Xylazine in Dogs (개에서 케타민-자일라진 마취동안 심박변이도에 대한 아트로핀과 글리코피롤레이트의 자율신경적 특성)

  • Park, Woo-Young;Bae, Chun-Sik;Lee, Soo-Han;Park, Woo-Dae
    • Journal of Veterinary Clinics
    • /
    • v.26 no.3
    • /
    • pp.212-219
    • /
    • 2009
  • Anticholinergics, which are commonly given as a pre-anesthetic medication to prevent adverse effects in canine anesthesia, can cause cardiac adverse effects. To determine the effects of atropine and glycopyrrolate on the balance of sympathetic nervous tone and parasympathetic nervous tone of the heart during ketamine anesthesia in beagle dogs, heart rate variability(HRV), duration of anesthesia and behavioral changes were evaluated. There were no significant temporal domain differences between atropine and glycopyrrolate. Concerning the frequency domain component, atropine and glycopyrrolate effects were significantly lower(P<0.05) than the control saline-treated group. However, the root mean square of the interval differences between consecutive R peaks(RMSSD) and the standard deviation of Poincare plot perpendicular to the line-of-identity(SD1) in atropine were significantly decreased(P<0.05) from the baseline value, and the low frequency/high frequency ratio(LF:HF ratio) in glycopyrrolate was significantly increased from baseline value(P<0.05). The change of SD1 agreed with that of the high frequency(HF) in the frequency domain component and also with those of respiratory rate and $SpO_2-R$. Our results prove that glycopyrrolate is more suitable as a pre-anesthetic anticholinergic in ketamine anesthesia of dogs with respect to safety and duration of action.

A Study on Development of Network Management Systems base on Component (컴포넌트 기반의 망관리 시스템 개발에 관한 연구)

  • Kim, Haeng-Kon;Kim, Ji-Young
    • The KIPS Transactions:PartD
    • /
    • v.11D no.4
    • /
    • pp.937-950
    • /
    • 2004
  • With growing population of internet and web applications, distributed environment is considered to be the standard architecture of application. A network management systems(NMS) is necessary to control and monitor the complex network resources for providing and sharing the heft quality service. We recognize the NMS as a standard infrastructure for supporting efficient networking and a separate commercial applications. We believe every resource including software, hardware and environment for the network management should be separated from special protocols, vendors and applications. Therefore, We need a standard network management system that is efficient and consistent because of the heterogeous network features. In regards to software development, software reuse through assembling and extending the reusable elements such as patterns and components assures to realize the best productivity and quality The component based development(CBD) methodology that can assemble black box though well defined interfaces makes it possible to develop easer and quicker applications and is proved as the best software development solution involved in construction, selection and assembly of components. In this thesis, we describe the architecture for the network management and identify, define and design the components through analysis and design in the network management domain and Identified components mapped to the component architecture. We also specify the component development and design and implement the component for developing the network management. Implemented components apply to the component repository system that register, retrieve and understand the components. We analyze, design and implement the entire network management system based on configuration, connection, performance and fault management through the pre-developed components.

Increment Method of Radar Range using Noise Reduction (잡음 감소 기법을 활용한 레이다의 최대 거리 향상 기법)

  • Lee, Dong-Hyo;Chung, Daewon;Shin, Hanseop;Yang, Hyung-Mo;Kim, Sangdong;Kim, Bong-seok;Jin, Youngseok
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.24 no.6
    • /
    • pp.1-10
    • /
    • 2019
  • This paper proposes a method to improve the detectable distance by reducing noise to perform a signal processing technique on the received signals. To increase the radar detection range, the noise component of the received signal has to be reduced. The proposed method reduces the noise component by employing two methods. First, the radar signals received with multiple pulses are accumulated. As the number of additions increases, the noise component gradually decreases due to noise randomness. On the other hand, the signal term gradually increases and thus signal to noise ratio increases. Secondly, after converting the accumulated signal into the frequency spectrum, a Least Mean Square (LMS) filter is applied. In the case of the radar received signal, desired signal exists in a specific part and most of the rest is a noise. Therefore, if the LMS filter is applied in the time domain, the noise increases. To prevent this, the LMS filter is applied after converting the received signal into the entire frequency spectrum. The LMS filter output is then transformed into the time domain and then range estimation algorithm is performed. Simulation results show that the proposed scheme reduces the noise component by about 25 dB. The experiment was conducted by comparing the proposed results with the conventional results of the radars held by the Korea Aerospace Research Institute for the international space station.

Targeting of Nuclear Encoded Proteins to Chloroplasts: a New Insight into the Mechanism

  • Lee, Yong-Jik;Kim, Yong-Woo;Pih, Kyeong-Tae;Hwang, Inhwan
    • Korean Journal of Plant Tissue Culture
    • /
    • v.27 no.5
    • /
    • pp.407-409
    • /
    • 2000
  • Outer envelope membrane proteins of chloroplasts encoded by the nuclear genome are transported without the N-terminal transit peptide. Here, we investigated the targeting mechanism of AtOEP7, an Arabidopsis homolog of small outer envelope membrane proteins in vivo. AtOEP7 was expressed transiently in protoplasts or stably in transgenic plants as fusion proteins with GFP. In both cases AtOEP7:GFP was targeted to the outer envelope membrane when assayed under a fluorescent microscope or by Western blot analysis. Except the transmembrane domain, deletions of the N- or C-terminal regions of AtOEP7 did not affect targeting although a region closed to the C-terminal side of the transmembrane domain affected the targeting efficiency. Targeting experiments with various hybrid transmembrane mutants revealed that the amino acid sequence of the transmembrane domain determines the targeting specificity The targeting mechanism was further studied using a fusion protein, AtOEP7:NLS:GFP, that had a nuclear localization signal. AtOEP7:NLS:GFP was efficiently targeted to the chloroplast envelope despite the presence of the nuclear localization signal. Taken together, these results suggest that the transmembrane domain of AtOEP7 functions as the sole determinant of targeting specificity and that AtOEP7 may be associated with a cytosolic component during translocation to the chloroplast envelope membrane.

  • PDF

Real Time Face Detection and Recognition using Rectangular Feature based Classifier and Class Matching Algorithm (사각형 특징 기반 분류기와 클래스 매칭을 이용한 실시간 얼굴 검출 및 인식)

  • Kim, Jong-Min;Kang, Myung-A
    • The Journal of the Korea Contents Association
    • /
    • v.10 no.1
    • /
    • pp.19-26
    • /
    • 2010
  • This paper proposes a classifier based on rectangular feature to detect face in real time. The goal is to realize a strong detection algorithm which satisfies both efficiency in calculation and detection performance. The proposed algorithm consists of the following three stages: Feature creation, classifier study and real time facial domain detection. Feature creation organizes a feature set with the proposed five rectangular features and calculates the feature values efficiently by using SAT (Summed-Area Tables). Classifier learning creates classifiers hierarchically by using the AdaBoost algorithm. In addition, it gets excellent detection performance by applying important face patterns repeatedly at the next level. Real time facial domain detection finds facial domains rapidly and efficiently through the classifier based on the rectangular feature that was created. Also, the recognition rate was improved by using the domain which detected a face domain as the input image and by using PCA and KNN algorithms and a Class to Class rather than the existing Point to Point technique.

Standardized Integration of Different Systems for the Establishment of a Korean Maritime Domain Awareness System (한국형 해양상황인식체계 구축을 위한 시스템간 표준화 연계방안에 관한 연구)

  • Kim, Young-Sup;Song, Chae-Uk
    • Journal of Navigation and Port Research
    • /
    • v.45 no.4
    • /
    • pp.204-211
    • /
    • 2021
  • The Maritime Domain Awareness system is a component that is necessary to enhance the awareness of all situations occurring at sea in relation to security, safety, economy, and the environment. To establish a marine situation recognition system that is currently being introduced in major maritime countries after approval by the International Maritime Organization's Maritime Safety Committee in 2010, operational measures should be established. For the purpose of establishing a technological foundation for the efficient construction of a Korean maritime situation recognition system, this study analyzed the status of each system (RADAR, VHF, and V-PASS, etc.) and proposed the application of data and communication standards.

Type-Based Group Delay Equalizer Considering the Nonlinear Phase Distortion of HPA (HPA의 비선형 위상 왜곡을 고려한 타입기반 군 지연 등화기)

  • Kim, Yongguk;Jo, Byung Gak;Baek, Gwang Hoon;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.37A no.10
    • /
    • pp.895-902
    • /
    • 2012
  • In this paper, we propose a novel equalizer to compensate for the group delay including AM/PM nonlinear distortion characteristics by the nonlinear power amplifier (PA). The group delay characteristic is a nonlinear non-constant time delay that appears differently depending on each frequency component. The phase distortion by AM/PM characteristics arising from the power amplifier is a major factor to increase group delay. By the group delay distortion, the signal in the constellation expands and is rotated. Considering the problem mentioned above, the nonlinear time delay that appears differently depending on each frequency component is classified as a static group delay and AM/PM characteristic of PA, the different phase transitions depending on the size of input signal as a dynamic group delay. Static group delay estimates and compensate for phase distortions in the frequency domain with type-based method and dynamic group delay compensates for phase rotation in the time domain. We confirmed that the group delay compensation techniques were enough to compensate the group delay characteristics including AM/PM characteristics of the power amplifier.

Texture Classification Using Wavelet-Domain BDIP and BVLC Features With WPCA Classifier (웨이브렛 영역의 BDIP 및 BVLC 특징과 WPCA 분류기를 이용한 질감 분류)

  • Kim, Nam-Chul;Kim, Mi-Hye;So, Hyun-Joo;Jang, Ick-Hoon
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.49 no.2
    • /
    • pp.102-112
    • /
    • 2012
  • In this paper, we propose a texture classification using wavelet-domain BDIP (block difference of inverse probabilities) and BVLC (block variance of local correlation coefficients) features with WPCA (whitened principal component analysis) classifier. In the proposed method, the wavelet transform is first applied to a query image. The BDIP and BVLC operators are next applied to the wavelet subbands. Global moments for each subband of BDIP and BVLC are then computed and fused into a feature vector. In classification, the WPCA classifier, which is usually adopted in the face identification, searches the training feature vector most similar to the query feature vector. Experimental results show that the proposed method yields excellent texture classification with low feature dimension for test texture image DBs.

Study on flow characteristics in LBE-cooled main coolant pump under positive rotating condition

  • Lu, Yonggang;Wang, Zhengwei;Zhu, Rongsheng;Wang, Xiuli;Long, Yun
    • Nuclear Engineering and Technology
    • /
    • v.54 no.7
    • /
    • pp.2720-2727
    • /
    • 2022
  • The Generation IV Lead-cooled fast reactor (LFR) take the liquid lead or lead-bismuth eutectic alloy (LBE) as the coolant of the primary cooling circuit. Combined with the natural characteristics of lead alloy and the design features of LFR, the system is the simplest and the number of equipment is the least, which reflects the inherent safety characteristics of LFR. The nuclear main coolant pump (MCP) is the only power component and the only rotating component in the primary circuit of the reactor, so the various operating characteristics of the MCP are directly related to the safety of the nuclear reactor. In this paper, various working conditions that may occur in the normal rotation (positive rotating) of the MCP and the corresponding internal flow characteristics are analyzed and studied, including the normal pump condition, the positive-flow braking condition and the negative-flow braking condition. Since the corrosiveness of LBE is proportional to the fluid velocity, the distribution of flow velocity in the pump channel will be the focus of this study. It is found that under the normal pump condition and positive-flow braking conditions, the high velocity region of the impeller domain appears at the inlet and outlet of the blade. At the same radius, the pressure surface is lower than the back surface, and with the increase of flow rate, the flow separation phenomenon is obvious, and the turbulent kinetic energy distribution in impeller and diffuser domain shows obvious near-wall property. Under the negative-flow braking condition, there is obvious flow separation in the impeller channel.

A Transforming Technique toward Component-based System from Object-oriented Model Using Static Metrics (객체지향 모델로부터 정적 메트릭을 이용하여 컴포넌트 기반 시스템으로 변환하는 기법)

  • 이은주;신우창;이병정;우치수
    • Journal of KIISE:Software and Applications
    • /
    • v.31 no.6
    • /
    • pp.728-740
    • /
    • 2004
  • The increasing complexity and shorter life cycle of software have made it necessary to reuse software. Object-oriented development had not provided extensive reuse and computing infrastructures are evolving from mainframe to distributed environments. However, components provide more advanced means of structuring, describing and developing system, because they are more coarse-grained and have more domain-specific aspects than objects. And they are also suited for distributed environment due to their reusability and granularity. In this paper, we present a process including the static metrics and guidelines that can be applied to transform object-oriented systems into component-based systems. Our process consists of two parts: First, basic components are created based upon composition and inheritance relationships between classes. Second, intermediate system is refined into component-based system with the static metrics and guidelines we propose.