• 제목/요약/키워드: Convergence time

검색결과 7,068건 처리시간 0.032초

Switched-Capacitor Variable Gain Amplifier with Operational Amplifier Preset Technique

  • Cho, Young-Kyun;Jeon, Young-Deuk;Kwon, Jong-Kee
    • ETRI Journal
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    • 제31권2호
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    • pp.234-236
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    • 2009
  • We present a novel operational amplifier preset technique for a switched-capacitor circuit to reduce the acquisition time by improving the slewing. The acquisition time of a variable gain amplifier (VGA) using the proposed technique is reduced by 30% compared with a conventional one; therefore, the power consumption of the VGA is decreased. For additional power reduction, a programmable capacitor array scheme is used in the VGA. In the 0.13 ${\mu}m$ CMOS process, the VGA, which consists of three-stages, occupies 0.33 $mm^2$ and dissipates 19.2 mW at 60 MHz with a supply voltage of 1.2 V. The gain range is 36.03 dB, which is controlled by a 10-bit control word with a gain error of ${\pm}0.68$ LSB.

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Robust Iterative Learning Control Alorithm

  • Kim, Yong-Tae;Zeungnam Bien
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.71-77
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    • 1995
  • In this paper are proposed robust iterative learning control(ILC) algorithms for both linear continuous time-invariant system and linear discrete-time system. In contrast to conventional methods, the proposed learning algorithms are constructed based on both time domain performance and iteration-domain performance. The convergence of the proposed learning algorithms is proved. Also, it is shown that the proposed method has robustness in the presence of external disturbances and the convergence accuracy can be improved. A numerical external disturbances and the convergence accuracy can be improved. A numerical example is provided to show the effectiveness of the proposed algorithm.

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신경망 학습 변수의 시변 제어에 관한 연구 (A study on time-varying control of learning parameters in neural networks)

  • 박종철;원상철;최한고
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2000년도 추계종합학술대회논문집
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    • pp.201-204
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    • 2000
  • This paper describes a study on the time-varying control of parameters in learning of the neural network. Elman recurrent neural network (RNN) is used to implement the control of parameters. The parameters of learning and momentum rates In the error backpropagation algorithm ate updated at every iteration using fuzzy rules based on performance index. In addition, the gain and slope of the neuron's activation function are also considered time-varying parameters. These function parameters are updated using the gradient descent algorithm. Simulation results show that the auto-tuned learning algorithm results in faster convergence and lower system error than regular backpropagation in the system identification.

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Surface Morphology of AlSb on GaAs Grown by Molecular Beam Epitaxy and Real-time Growth Monitoring by in situ Ellipsometry

  • Kim, Jun Young;Lim, Ju Young;Kim, Young Dong;Song, Jin Dong
    • Applied Science and Convergence Technology
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    • 제26권6호
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    • pp.214-217
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    • 2017
  • AlSb is a promising material for optical devices, particularly for high-frequency and nonlinear-optical applications. We report the effect of growth temperature on structural properties of AlSb grown on GaAs substrate. In particular we studied the surface of AlSb with the growth temperature by atomic force microscopy, and concluded that optimized growth temperature of AlSb is $530^{\circ}C$. We also show the result of real-time monitoring of AlSb growth by in situ ellipsometry. The results of the structural study are good agreement with the previous reported ellipsometric data.

Proposal of An Artificial Intelligence Farm Income Prediction Algorithm based on Time Series Analysis

  • Jang, Eun-Jin;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • 제10권4호
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    • pp.98-103
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    • 2021
  • Recently, as the need for food resources has increased both domestically and internationally, support for the agricultural sector for stable food supply and demand is expanding in Korea. However, according to recent media articles, the biggest problem in rural communities is the unstable profit structure. In addition, in order to confirm the profit structure, profit forecast data must be clearly prepared, but there is a lack of auxiliary data for farmers or future returnees to predict farm income. Therefore, in this paper we analyzed data over the past 15 years through time series analysis and proposes an artificial intelligence farm income prediction algorithm that can predict farm household income in the future. If the proposed algorithm is used, it is expected that it can be used as auxiliary data to predict farm profits.

Real-time video Surveillance System Design Proposal Using Abnormal Behavior Recognition Technology

  • Lee, Jiyoo;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • 제9권4호
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    • pp.120-123
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    • 2020
  • The surveillance system to prevent crime and accidents in advance has become a necessity, not an option in real life. Not only public institutions but also individuals are installing surveillance cameras to protect their property and privacy. However, since the installed surveillance camera cannot be monitored for 24 hours, the focus is on the technology that tracks the video after an accident occurs rather than prevention. In this paper, we propose a system model that monitors abnormal behaviors that may cause crimes through real-time video, and when a specific behavior occurs, the surveillance system automatically detects it and responds immediately through an alarm. We are a model that analyzes real-time images from surveillance cameras and uses I3D models from analysis servers to analyze abnormal behavior and deliver notifications to web servers and then to clients. If the system is implemented with the proposed model, immediate response can be expected when a crime occurs.

Development of Portable Atmospheric Environment Measurement System using Low Power Wireless Communication

  • Chae, Soohyeon;Kim, Hack-Yoon;Gim, Jangwon
    • 한국정보기술학회 영문논문지
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    • 제10권1호
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    • pp.99-109
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    • 2020
  • As environmental pollution has become severe due to the rapid increase in pollutant generation in the air, measurement, collection, and analysis of atmospheric environment information plays an important role. However, it is difficult to measure the high-resolution and real-time atmospheric environment of the cities and tourist spots with high population mobility only by measuring equipment of stationary measuring stations. Therefore, this paper proposes a portable atmospheric environment measurement system for real-time measurement and monitoring of atmospheric environment information. The proposed system is a portable client with a low-power wireless communication method. It is possible to reliably transmit and receive the measured data through a multi-threaded server to monitor the trend of pollutants in the air in real-time.

Novel Bumping Material for Solder-on-Pad Technology

  • Choi, Kwang-Seong;Chu, Sun-Woo;Lee, Jong-Jin;Sung, Ki-Jun;Bae, Hyun-Cheol;Lim, Byeong-Ok;Moon, Jong-Tae;Eom, Yong-Sung
    • ETRI Journal
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    • 제33권4호
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    • pp.637-640
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    • 2011
  • A novel bumping material, which is composed of a resin and Sn3Ag0.5Cu (SAC305) solder power, has been developed for the maskless solder-on-pad technology of the fine-pitch flip-chip bonding. The functions of the resin are carrying solder powder and deoxidizing the oxide layer on the solder power for the bumping on the pad on the substrate. At the same time, it was designed to have minimal chemical reactions within the resin so that the cleaning process after the bumping on the pad can be achieved. With this material, the solder bump array was successfully formed with pitch of 150 ${\mu}m$ in one direction.

Worst-case Delay Analysis of Time-Triggered 802.15.4 for Wireless Industrial Environments

  • Kim, Hyun-Hee;Lee, Kyung-Chang
    • 한국산업융합학회 논문집
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    • 제20권3호
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    • pp.205-212
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    • 2017
  • This paper focuses on worst-case delay analysis of the time-triggered IEEE 802.15.4 protocol to satisfy the industrial quality-of-service (QoS) performance. The IEEE 802.15.4 protocol is considered to be unsuitable for industrial networks because its medium access control method is contention-based CSMA/CA, which exhibits unstable performance with an unbounded delay distribution under heavy traffic. To avoid these limitations, this paper presents a time-triggered version of the nonbeacon-enabled network of IEEE 802.15.4 that relies on a time division multiplexing access (TDMA) method implemented in the application layer without any modification of specification. The timing analysis of this time-triggered IEEE 802.15.4 was executed, and the worst-case transmission delay was calculated. Based on this analysis, the time-triggered IEEE 802.15.4 is a promising alternative for wireless industrial networking.

유한요소법을 이용한 과도 선형 동탄성 해석 (Transient Linear Elastodynamic Analysis by the Finite Element Method)

  • 황은하;오근
    • 한국산업융합학회 논문집
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    • 제12권3호
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    • pp.149-155
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    • 2009
  • A new finite element equation is derived by applying quadratic and cubic time integration scheme to the variational formulation in time-integral for the analysis of the transient elastodynamic problems to increase the numerical accuracy and stability. Emphasis is focused on methodology for cubic time integration scheme procedure which are never presented before. In this semidiscrete approximations of the field variables, the time axis is divided equally and quadratic and cubic time variation is assumed in those intervals, and space is approximated by the usual finite element discretization technique. It is found that unconditionally stable numerical results are obtained in case of the cubic time variation. Some numerical examples are given to show the versatility of the presented formulation.

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