• Title/Summary/Keyword: Improved Experiments

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Improved Model Predictive Control Method for Cascaded H-Bridge Multilevel Inverters (Cascaded H-Bridge 멀티레벨 인버터를 위한 개선된 모델 예측 제어 방법)

  • Roh, Chan;Kim, Jae-Chang;Kwak, Sangshin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.7
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    • pp.846-853
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    • 2018
  • In this paper, an improved model predictive control (MPC) method is proposed, which reduces the amount of calculations caused by the increased number of candidate voltage vectors with the increased voltage level in multi-level inverters. When the conventional MPC method is used for multi-level inverters, all candidate voltage vectors are considered to predict the next-step current value. However, in the case that the sampling time is short, increased voltage level makes it difficult to consider the all candidate voltage vectors. In this paper, the improved MPC method which can get a fast transient response is proposed with a small amount of the computation by adding new candidate voltage vectors that are set to find the optimal vector. As a result, the proposed method shows faster transient response than the method that considers the adjacent vectors and reduces the computational burden compared to the method that considers the whole voltage vector. the performance of the proposed method is verified through simulations and experiments.

Feature Selecting and Classifying Integrated Neural Network Algorithm for Multi-variate Classification (다변량 데이터의 분류 성능 향상을 위한 특질 추출 및 분류 기법을 통합한 신경망 알고리즘)

  • Yoon, Hyun-Soo;Baek, Jun-Geol
    • IE interfaces
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    • v.24 no.2
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    • pp.97-104
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    • 2011
  • Research for multi-variate classification has been studied through two kinds of procedures which are feature selection and classification. Feature Selection techniques have been applied to select important features and the other one has improved classification performances through classifier applications. In general, each technique has been independently studied, however consideration of the interaction between both procedures has not been widely explored which leads to a degraded performance. In this paper, through integrating these two procedures, classification performance can be improved. The proposed model takes advantage of KBANN (Knowledge-Based Artificial Neural Network) which uses prior knowledge to learn NN (Neural Network) as training information. Each NN learns characteristics of the Feature Selection and Classification techniques as training sets. The integrated NN can be learned again to modify features appropriately and enhance classification performance. This innovative technique is called ALBNN (Algorithm Learning-Based Neural Network). The experiments' results show improved performance in various classification problems.

Improved Design for Enhanced Grip Stability of the Flexible Gripper in Harvesting Robot (파지 안정성을 강화한 과수 수확용 로봇 그리퍼의 설계 개선)

  • Choi, Du Soon;Moon, Sun Young;Hwang, Myun Joong
    • The Journal of Korea Robotics Society
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    • v.15 no.2
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    • pp.107-114
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    • 2020
  • In robotic harvesting, a gripper to manipulate the fruits needs to be attached to the robot system. We proposed a flexible robot gripper that can actively respond to the shape of an object such as fruits in the previous work. However, we found that there is a possibility of not being reliably gripped when the object slides during contact with a finger. In this paper, the improved gripper design is proposed to fundamentally solve the problems of the previous gripper. The position of the finger and the maximum closed position are changed, and the design improvement is performed to increase the grip stability by changing the installation angle of the link portion of the finger. Based on the improved design, a modified gripper is fabricated by 3-D printing, and then gripping experiments are performed on spherical object and fruit model object. It is shown that the gripper can stably grip the objects without excessive bending of the finger link of the gripper. The contact pressure between the finger and the surface of the object is measured, and it is verified that it is a sufficiently small pressure that does not cause damage to the fruit. Therefore, the proposed gripper is expected to be successfully applied in harvesting.

NUMERICAL STUDY ON DROPLET SPREAD MOTION AFTER IMPINGEMENT ON THE WALL USING IMPROVED CIP METHOD (수정된 CIP방법을 이용한 벽면 충돌 후 액적의 퍼짐 현상에 대한 수치해석 연구)

  • Son, S.Y.;Ko, G.H.;Lee, S.H.;Ryou, H.S.
    • Journal of computational fluids engineering
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    • v.15 no.4
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    • pp.25-31
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    • 2010
  • Interface tracking of two phase is significant to analyze multi-phase phenomena. The VOF(Volume of Fluid) and level set are well known interface tracking method. However, they have limitations to solve compressible flow and incompressible flow at the same time. CIP(Cubic Interpolate Propagation) method is appropriate for considering compressible and incompressible flow at once by solving the governing equation which is divided up into advection and non-advection term. In this article, we analyze the droplet impingement according to various We number using improved CIP method which treats nonlinear term once more comparison with original CIP method. Furthermore, we compare spread radius after droplet impingement on the wall with the experimental data and original CIP method. The result using improved CIP method shows the better result of the experiments, comparison with result of original CIP method, and it reduces the mass conservation error which is generated in the numerical analysis comparison with original CIP method.

Reproduction of vibration patterns of elastic structures by block-wise modal expansion method (BMEM)

  • Jung, B.K.;Cho, J.R.;Jeong, W.B.
    • Smart Structures and Systems
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    • v.18 no.4
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    • pp.819-837
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    • 2016
  • The quality of vibration pattern reproduction of elastic structures by the modal expansion method is influenced by the modal expansion method and the sensor placement as well as the accuracy of measured natural modes and the total number of vibration sensors. In this context, this paper presents an improved numerical method for reproducing the vibration patterns by introducing a block-wise modal expansion method (BMEM), together with the genetic algorithm (GA). For a given number of vibration sensors, the sensor positions are determined by an evolutionary optimization using GA and the modal assurance criterion (MAC). Meanwhile, for the proposed block-wise modal expansion, a whole frequency range of interest is divided into several overlapped frequency blocks and the vibration field reproduction is made block by block with different natural modes and different modal participation factors. A hollow cylindrical tank is taken to illustrate the proposed improved modal expansion method. Through the numerical experiments, the proposed method is compared with several conventional methods to justify that the proposed method provides the improved results.

An Analysis of High School Common Science Textbook on the Concept of Greenhouse Effect (온실효과에 대한 고등학교 공통과학교과서 분석)

  • Kook, Dong-Sik
    • Journal of the Korean earth science society
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    • v.23 no.6
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    • pp.455-460
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    • 2002
  • The purpose of this study is to analyze the sixth curriculum textbooks of high school science courses in relation to the greenhouse effect concept and find the incorrect descriptions of that concept and then suggest some improved schemes. Some incorrect descriptions, pictures and tables on the greenhouse effect concept were found in texts. They might contribute to forming and/or reinforcing misconceptions about that concept: the important greenhouse gases, the changes caused by the greenhouse effect, global warming, energy sources, greenhouse experiments and physical processes. Therefore some improved schemes were suggested

Improved Modulation Scheme for Medium Voltage Modular Multi-level Converter Operated in Nearest Level Control (근사레벨제어로 동작하는 중전압 모듈형 멀티레벨 컨버터의 개선된 전압변조기법)

  • Kim, Do-Hyun;Kim, Jae-Hyuk;Han, Byung-Moon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.22 no.4
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    • pp.285-296
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    • 2017
  • This paper proposes an improved modulation scheme for the medium voltage modular multi-level converter (MMC), which operates in the nearest level control and applies in the medium voltage direct current (MVDC) system. In the proposed modulation scheme, the offset (neutral-to-zero output) voltage is adjusted, with the phase voltage magnitude, thereby maintaining a constant value with N+1 level in the controllable modulation index (MI) range. In order to confirm the proposed scheme's validity, computer simulations for the 22.9 kV - 25 MVA MMC were performed with PSCAD/EMTDC, as well as hardware experiments for the 380 V - 10 kVA MMC. The proposed modulation scheme offers to build a constant pole voltage regardless of the MI value, and to build a phase voltage with improved total harmonic distortion (THD).

Effect of Fungicide Benoram Seed Treatment on Germination, Growth, and Yield in Summer-Type Soybean (종자소독제 Benoram 처리가 하대두의 발아, 후기생육 및 수량에 미치는 영향)

  • 정길웅;주정일
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.38 no.2
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    • pp.166-173
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    • 1993
  • Seed infection to pod and stem blight (Diaporthe phaseolorum) is severe at summer type soybeans maturing at hot and humid conditions. In order to increase germination and plant stand, this experiments were evaluated the effects of fungicide Benoram(Benomyl 20% ${\pm}$ Thiram 20%) seed treatments with different seed sizes on emergence yield at field conditions, and with different infection degrees to pod and stem blight on germination in laboratory. Benoram treatment on seed was improved emergence rate and elongated hypocotyl not increased growth and yield. It was clearly improved length but germinations and germination speed by Benoram fungicide treatment on severely infected seed however was not improved germination rate at good quality of seeds and the effect was higher at large seed cultivar than small ones.

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An Improved Stationary Frame-based Digital Current Control Scheme for a PM Synchronous Motor

  • Kim, Kyeong-Hwa;Young, Myung-Joong
    • Journal of Power Electronics
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    • v.1 no.2
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    • pp.88-98
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    • 2001
  • An improved stationary frame-based digital current control technique for a permanent magnet(PM) synchronous motor is presented. Generally, the stationary frame current controller is known to provide the advantage of a simple implementation. However, there are some unavoidable limitations such as a steady-state error and a phase delay in the steady-state. On the other hand, in the synchronous frame current regulator the regulated currents are dc quantities and a zero steady-state error can be obtained through the integral control. However, the need to transform the signals between the stationary and synchronous frames makes the implementation of a synchronous frame regulator complex. Although the PI controller in the stationary frame gives a steady-state error and a phase delay, the control performance can be greatly improved by employing the exact decoupling control inputs for the back EMF., resulting in an ideal steady-state control characteristics irrespective of an operating condition as in the synchronous PI decoupling controller. However, its steady-state response may be degraded due to the inexact cancellation inputs under the parameter variations. To improve the control performance in the stationary frame, the disturbance is estimated using the time delay control. The proposed scheme is implemented on a PM synchronous motor using DSP TMS320C31 and the effectiveness is verified through the comparative simulations and experiments.

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A study on the convergence of Wegmann's method applying a low frequency pass filter (저주파필터를 적용한 Wegmann 방법의 수렴성에 관한 연구)

  • Song, Eun-Jee
    • The KIPS Transactions:PartA
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    • v.11A no.2
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    • pp.203-206
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    • 2004
  • Wegmann's method has been known as the most efficient one for the Theodorsen equation that is needed to solve conformal mapping. It was researched in the earlier studies (1). However divergence was revealed in some difficult problems by numerical experiment using Wegmann's method. We analyzed the cause of divergence and proposed an improved method by applying a low frequency pass filter to Wegmann's method. Numerical experiments using the improved method showed convergence for all divergent problems using the Wegmann's method. In this paper, we prove theroretically the cause of convergence in the Numerical experiment using the improved method by applying a low frequency pass filter to Wegmann's method. We make use of Fourier transforms in this theoretical proof of convergence.