• 제목/요약/키워드: complete continuous

검색결과 334건 처리시간 0.04초

퍼지 시스템을 위한 샘플치 데이터 상태 피드백 제어기 설계: 지능헝 디지털 재설계 접근 (Design of State Feedback Controller for Fuzzy Systems: Intelligent Digital Redesign)

  • 김도완;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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    • pp.2480-2482
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    • 2005
  • This paper presents a complete solution to intelligent digital redesign problem (IDR) for sampled-data fuzzy systems. The IDR problem is the problem of designing a sampled-data state feedback controller such that the sampled-data fuzzy system is equivalent to the continuous-time fuzzy system in the sense of the state matching. Its solution is simply obtained by linear transformation. Under the proposed sampled-data controller, the states of the discrete-time model of the sampled-data fuzzy system completely matches the state of the discrete-time model of the closed-loop continuous-time fuzzy systems are completely matched at every sampling points.

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분사칼럼식 직접접촉 열교환기의 최적 모델링을 위한 연구 (On the Optimum Modelization for a Spray Column Direct Contact Heat Exchanger)

  • 윤석만;강용혁;김종보
    • 설비공학논문집
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    • 제3권1호
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    • pp.1-10
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    • 1991
  • The purpose of this study is to lay groundwork for a complete analysis of two component flow by analyzing a single component flow made of continuous fluid without dispersed phase. In order to achieve uniform velocity distributions which are desirable in designing an optimum spray column direct contact heat exchanger, the influence of injection nozzle orientation has been investigated for axial and radial injections. The results that radial injection ensures more uniform velocity distributions compared to the axial case. The flow characteristics in a spray column have been investigated with various L/D values and inlet velocities, the most uniform internal velocity distributions have been obtained for the case of L/D=10 and 0.1m/sec. In the present investigation, it is shown that radial injection method for the continuous flow is advantageous in obtaining desirable uniform velocity distributions in a spray column. It is also found that as the value of L/D increases and the inlet velocity decreases, the flow improves to be better uniform velocity distributions.

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Continuous Human Activity Detection Using Multiple Smart Wearable Devices in IoT Environments

  • Alshamrani, Adel
    • International Journal of Computer Science & Network Security
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    • 제21권2호
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    • pp.221-228
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    • 2021
  • Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

ON SUPER CONTINUOUS FUNCTIONS

  • Baker, C.W.
    • 대한수학회보
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    • 제22권1호
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    • pp.17-22
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    • 1985
  • B.M. Munshi and D.S. Bassan defined and developed the concept of super continuity in [5]. The concept has been investigated further by I. L. Reilly and M. K. Vamanamurthy in [6] where super continuity is characterized in terms of the semi-regularization topology. Super continuity is related to the concepts of .delta.-continuity and strong .theta.-continuity developed by T. Noiri in [7]. The purpose of this note is to derive relationships between super continuity and other strong continuity conditions and to develop additional properties of super continuous functions. Super continuity implies continuity, but the converse implication is false [5]. Super continuity is strictly between strong .theta.-continuity and .delta.-continuity and strictly between complete continuity and .delta.-continuity. The symbols X and Y will denote topological spaces with no separation axioms assumed unless explicity stated. The closure and interior of a subset U of a space X will be denoted by Cl(U) and Int(U) respectively and U is said to be regular open (resp. regular closed) if U=Int[Cl(U) (resp. U=Cl(Int(U)]. If necessary, a subscript will be added to denote the space in which the closure or interior is taken.

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A Fuzzy Continuous Petri Net Model for Helper T cell Differentiation

  • Park, In-Ho;Na, Do-Kyun;Lee, Kwang-H.;Lee, Do-Heon
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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    • pp.344-347
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    • 2005
  • Helper T(Th) cells regulate immune response by producing various kinds of cytokines in response to antigen stimulation. The regulatory functions of Th cells are promoted by their differentiation into two distinct subsets, Th1 and Th2 cells. Th1 cells are involved in inducing cellular immune response by activating cytotoxic T cells. Th2 cells trigger B cells to produce antibodies, protective proteins used by the immune system to identify and neutralize foreign substances. Because cellular and humoral immune responses have quite different roles in protecting the host from foreign substances, Th cell differentiation is a crucial event in the immune response. The destiny of a naive Th cell is mainly controlled by cytokines such as IL-4, IL-12, and IFN-${\gamma}$. To understand the mechanism of Th cell differentiation, many mathematical models have been proposed. One of the most difficult problems in mathematical modeling is to find appropriate kinetic parameters needed to complete a model. However, it is relatively easy to get qualitative or linguistic knowledge of a model dynamics. To incorporate such knowledge into a model, we propose a novel approach, fuzzy continuous Petri nets extending traditional continuous Petri net by adding new types of places and transitions called fuzzy places and fuzzy transitions. This extension makes it possible to perform fuzzy inference with fuzzy places and fuzzy transitions acting as kinetic parameters and fuzzy inference systems between input and output places, respectively.

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경막외 Morphine의 암성통증에 대한 진통효과 (The Analgesic Effects of Epidural Morphine on Cancer-related Pain)

  • 박진우
    • The Korean Journal of Pain
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    • 제2권2호
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    • pp.189-193
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    • 1989
  • The analgesic effects of epidural morphine were evaluated on various types of cancer-related pain in forty-eight adult patients. Epidural morphine injections were given via an epidural catheter introduced to an epidural level corresponding to the pain area. Pain relief was classified as excellent, fair, or poor by subjective scoring and by the subsequent need for systemic analgesics. Thirty-two patients of all the patients became pain-free. In sixteen patients, pain relief was complete only for one or two of various types of pain with a certain dose of epidural morphine, The best result was obtained when the pain was continuous and originated from deep somatic structures. Based on the results, the ranking order of different types of cancer pain with regard to their susceptibility to epidural morphine was as follows: 1) Continuous somatic pain 2) Continuous visceral pain 3) Intermittent somatic pain 4) Intermittent visceral pain The differential effects of epidural morphine on cancer-related pain may suggest that various types of noxious stimuli involve different kinds of opioid receptors which differ in affinity to morphine, and that there are some pain-mediating systems which function independently of opioid mechanisms.

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Observed Quasi-steady Kinetics of Yeast Cell Growth and Ethanol Formation under Very High Gravity Fermentation Condition

  • Chen Li-Jie;Xu Ya-Li;Bai Feng-Wu;Anderson William A.;Murray Moo-Young
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제10권2호
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    • pp.115-121
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    • 2005
  • Using a general Saccharomyces cerevisiae as a model strain, continuous ethanol fermentation was carried out in a stirred tank bioreactor with a working volume of 1,500 mL. Three different gravity media containing glucose of 120, 200 and 280 g/L, respectively, supplemented with 5 g/L yeast extract and 3 g/L peptone, were fed into the fermentor at different dilution rates. Although complete steady states developed for low gravity medium containing 120 g/L glucose, quasi-steady states and oscillations of the fermented parameters, including residual glucose, ethanol and biomass were observed when high gravity medium containing 200 g/L glucose and very high gravity medium containing 280 g/L glucose were fed at the designated dilution rate of $0.027\;h^{-1}$. The observed quasi-steady states that incorporated these steady states, quasi-steady states and oscillations were proposed as these oscillations were of relatively short periods of time and their averages fluctuated up and down almost symmetrically. The continuous kinetic models that combined both the substrate and product inhibitions were developed and correlated for these observed quasi-steady states.

심층 강화학습을 이용한 디지털트윈 및 시각적 객체 추적 (Digital Twin and Visual Object Tracking using Deep Reinforcement Learning)

  • 박진혁;;최필주;이석환;권기룡
    • 한국멀티미디어학회논문지
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    • 제25권2호
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    • pp.145-156
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    • 2022
  • Nowadays, the complexity of object tracking models among hardware applications has become a more in-demand duty to complete in various indeterminable environment tracking situations with multifunctional algorithm skills. In this paper, we propose a virtual city environment using AirSim (Aerial Informatics and Robotics Simulation - AirSim, CityEnvironment) and use the DQN (Deep Q-Learning) model of deep reinforcement learning model in the virtual environment. The proposed object tracking DQN network observes the environment using a deep reinforcement learning model that receives continuous images taken by a virtual environment simulation system as input to control the operation of a virtual drone. The deep reinforcement learning model is pre-trained using various existing continuous image sets. Since the existing various continuous image sets are image data of real environments and objects, it is implemented in 3D to track virtual environments and moving objects in them.

연속 미디어 서버에서 Hiccup 발생을 최소화하기 위한 슬롯 예약 알고리즘과 완전 연결 버퍼링 알고리즘 (Slot Reservation and Complete Connection Buffering Algorithm for Minimizing Hiccup in Continuous Media Servers)

  • 홍재인;최홍묵;박병수;최명렬
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2002년도 춘계학술발표논문집
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    • pp.226-229
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    • 2002
  • 본 논문에서는 멀티미디어 어플리케이션의 핵심인 오디오나 비디오와 같은 연속 미디어에서 hiccup의 발생을 최소화시키기 위한 기존의 연속 디스플레이, replication, request migration을 소개하고, 슬롯 예약 알고리즘과 완전 연결 버퍼링 알고리즘을 제안하였다. 제안한 두 알고리즘은 기존의 partial replication과 request migration에서 일어나는 hiccup 발생과, startup latency를 슬롯 예약과 디스크와 버퍼간의 완전 연결을 이용하여 최소화하였다. 향후 제안된 알고리즘은 구체적인 통계적 모델을 제시하여 다양한 재생 요구 빈도수에 따른 검증이 필요하다.

UNIQUENESS OF SOLUTIONS FOR THE BOUNDARY VALUE PROBLEM OF CERTAIN NONLINEAR ELLIPTIC OPERATORS VIA p-HARMONIC BOUNDARY

  • Lee, Yong Hah
    • 대한수학회논문집
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    • 제32권4호
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    • pp.1025-1031
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    • 2017
  • We prove the uniqueness of solutions for the boundary value problem of certain nonlinear elliptic operators in the setting: Given any continuous function f on the p-harmonic boundary of a complete Riemannian manifold, there exists a unique solution of certain nonlinear elliptic operators, which is a limit of a sequence of solutions of the operators with finite energy in the sense of supremum norm, on the manifold taking the same boundary value at each p-harmonic boundary as that of f.