• Title/Summary/Keyword: a variable reference model

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A Hierarchical Group-Based CAVLC Decoder (계층적 그룹 기반의 CAVLC 복호기)

  • Ham, Dong-Hyeon;Lee, Hyoung-Pyo;Lee, Yong-Surk
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.2
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    • pp.26-32
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    • 2008
  • Video compression schemes have been developed and used for many years. Currently, H.264/AVC is the most efficient video coding standard. The H.264/AVC baseline profile adopts CAVLC(Context-Adaptive Variable Length Coding) method as an entropy coding method. CAVLC gives better performance in compression ratios than conventional VLC(Variable Length Coding). However, because CAVLC decoder uses a lot of VLC tables, the CAVLC decoder requires a lot of area in terms of hardware. Conversely, since it must look up the VLC tables, it gives a worse performance in terms of software. In this paper, we propose a new hierarchical grouping method for the VLC tables. We can obtain an index of codes in the reconstructed VLC tables by simple arithmetic operations. In this method, the VLC tables are accessed just once in decoding a symbol. We modeled the proposed algorithm in C language, compiled under ARM ADS1.2 and simulated it with Armulator. Experimental results show that the proposed algorithm reduces execution time by about 80% and 15% compared with the H.264/AVC reference program JM(Joint Model) 10.2 and the arithmetic operation algorithm which is recently proposed, respectively.

Evaluation of Firmness and Sweetness Index of Tomatoes using Hyperspectral Imaging

  • Rahman, Anisur;Faqeerzada, Mohammad Akbar;Joshi, Rahul;Cho, Byoung-Kwan
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.44-44
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    • 2017
  • The objective of this study was to evaluate firmness, and sweetness index (SI) of tomatoes (Lycopersicum esculentum) by using hyperspectral imaging (HSI) in the range of 1000-1400 nm. The mean spectra of the 95 matured tomato samples were extracted from the hyperspectral images, and the reference firmness and sweetness index of the same sample were measured and calibrated with their corresponding spectral data by partial least squares (PLS) regression with different preprocessing method. The results showed that the regression model developed by PLS regression based on Savitzky-Golay (S-G) second-derivative preprocessed spectra resulted in better performance for firmness, and SI of tomatoes compared to models developed by other preprocessing methods, with correlation coefficients (rpred) of 0.82, and 0.74 with standard error of prediction (SEP) of 0.86 N, and 0.63 respectively. Then, the feature wavelengths were identified using model-based variable selection method, i.e., variable important in projection (VIP), resulting from the PLS regression analyses and finally chemical images were derived by applying the respective regression coefficient on the spectral image in a pixel-wise manner. The resulting chemical images provided detailed information on firmness, and sweetness index (SI) of tomatoes. Therefore, these research demonstrated that HIS technique has a potential for rapid and non-destructive evaluation of the firmness and sweetness index of tomatoes.

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High Performance Control of Induction Motor Drive using Multi Adaptive Fuzzy Controller (다중 적응 퍼지제어기를 이용한 유도전동기 드라이브의 고성능 제어)

  • Ko, Jae-Sub;Choi, Jung-Sik;Chung, Dong-Hwa
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.10
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    • pp.59-68
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    • 2009
  • The field oriented control of induction motors is widely used in high performance applications. However, detuning caused by parameter disturbance still limits the performance of these drives. In order to accomplish variable speed operation, conventional PI-like controllers are commonly used. These controllers provide limited good performance over a wide range of operation, even under ideal field oriented conditions. This paper is proposed high performance control of induction motor drive using multi adaptive fuzzy controller. This controller has been performed for speed control with fuzzy adaptation mechanism (FAM)-PI, current control with model reference adaptive fuzzy control(MFC) and estimation of speed using ANN. The proposed control algorithm is applied to induction motor drive system using FAM-PI, MFC and ANN controller. The performance of proposed controller is evaluated by analysis for various operating conditions using parameters of induction motor drive. Also, this paper is proposed the analysis results to verify the effectiveness of this controller.

Statistical Estimate and Prediction Values with Reference to Chronological Change of Body Height and Weight in Korean Youth (한국인 청소년 신장과 체중의 시대적 변천에 따른 통계학적 추정치에 관한 연구)

  • 강동석;성웅현;윤태영;최중명;박순영
    • Korean Journal of Health Education and Promotion
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    • v.13 no.2
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    • pp.130-166
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    • 1996
  • As compared with body height and body weight by ages and sexes, by means of the data reported under other researchers from 1967 to 1994 for 33 years, this study obtained the estimate value of body height and body weight by ages and sexes for the same period, and figured out prediction value of body height and body weight in the ages of between 6 and 14 from 1995 to 2000. These surveys and measurements took for one year from October 1st 1994 to September 30th. As shown in the 〈Table 1〉, in order to calculate the establishment, estimate value and prediction value of the chronological regression model of body height and body weight, by well-grounded 17 representative research papers, this research statistically tested propriety of liner regression model by the residual analysis in advance of being reconciled to simple liner regression model by the autonomous variable-year and the subordinate variable-body weight and measured prediction value, theoretical value from 1962 to 1994 by means of 2nd or 3rd polynomial regression model, with this redult did prediction value from 1995 to 2000. 1. Chronological Change of Body Height and Body Weight The analysis result from regression model of the chronological body height and body weight for the aged 6 - 16 in both sexes ranging from 1962 to 1994, corned from the 〈Table 2-20〉. On the one hand, the measurement value of respective researchers had a bit changes by ages with age growing, but the other hand, theoretical value, prediction value showed the regular increase by the stages and all values indicated a straight line on growth and development with age growing. That is, in case of the aged 6, males had 109.93cm in 1962 and females 108.93cm, but we found the increase that males had 1I8.0cm, females 1I3.9cm. In theoretical value, prediction value, males showed the increase from 109.88cm to 1I7.89cm and females from 109.27cm to 1I5.64cm respectively. There was the same inclination toward all ages. 2. Comparision to Measurement Value and Prediction Value of Body Height and Body Weight in 1994 As shown in the 〈Table 21〉, in case of body height, measurement value and prediction value of body height and body weight by ages and sexes almost showed the similiar inclination and poor grade, in case of body weight, prediction value in males had a bit low value by all ages, and prediction value in females had a high value in adolescence, to the contrary, a low value in adult. 3. Prediction Value of Body Height and Body Weight from 1995 to 2000 This research showed that body height and body weight remarkably increased in adolescence but slowly in adult. This study represented that Korean physique was on the increase and must be measured continually hereafter.

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Gesture Spotting by Web-Camera in Arbitrary Two Positions and Fuzzy Garbage Model (임의 두 지점의 웹 카메라와 퍼지 가비지 모델을 이용한 사용자의 의미 있는 동작 검출)

  • Yang, Seung-Eun
    • KIPS Transactions on Software and Data Engineering
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    • v.1 no.2
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    • pp.127-136
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    • 2012
  • Many research of hand gesture recognition based on vision system have been conducted which enable user operate various electronic devices more easily. 3D position calculation and meaningful gesture classification from similar gestures should be executed to recognize hand gesture accurately. A simple and cost effective method of 3D position calculation and gesture spotting (a task to recognize meaningful gesture from other similar meaningless gestures) is described in this paper. 3D position is achieved by calculation of two cameras relative position through pan/tilt module and a marker regardless with the placed position. Fuzzy garbage model is proposed to provide a variable reference value to decide whether the user gesture is the command gesture or not. The reference is achieved from fuzzy command gesture model and fuzzy garbage model which returns the score that shows the degree of belonging to command gesture and garbage gesture respectively. Two-stage user adaptation is proposed that off-line (batch) adaptation for inter-personal difference and on-line (incremental) adaptation for intra-difference to enhance the performance. Experiment is conducted for 5 different users. The recognition rate of command (discriminate command gesture) is more than 95% when only one command like meaningless gesture exists and more than 85% when the command is mixed with many other similar gestures.

MRAS Based Sensorless Control of a Series-Connected Five-Phase Two-Motor Drive System

  • Khan, M. Rizwan;Iqbal, Atif
    • Journal of Electrical Engineering and Technology
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    • v.3 no.2
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    • pp.224-234
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    • 2008
  • Multi-phase machines can be used in variable speed drives. Their applications include electric ship propulsion, 'more-electric aircraft' and traction applications, electric vehicles, and hybrid electric vehicles. Multi-phase machines enable independent control of a few numbers of machines that are connected in series in a particular manner with their supply being fed from a single voltage source inverter(VSI). The idea was first implemented for a five-phase series-connected two-motor drive system, but is now applicable to any number of phases more than or equal to five-phase. The number of series-connected machines is a function of the phase number of VSI. Theoretical and simulation studies have already been reported for number of multi-phase multi-motor drive configurations of series-connection type. Variable speed induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the sensor, information concerning the rotor speed is extracted from measured stator currents and voltages at motor terminals. Open-loop estimators or closed-loop observers are used for this purpose. They differ with respect to accuracy, robustness, and sensitivity against model parameter variations. This paper analyses operation of an MRAS estimator based sensorless control of a vector controlled series-connected two-motor five-phase drive system with current control in the stationary reference frame. Results, obtained with fixed-voltage, fixed-frequency supply, and hysteresis current control are presented for various operating conditions on the basis of simulation results. The purpose of this paper is to report the first ever simulation results on a sensorless control of a five-phase two-motor series-connected drive system. The operating principle is given followed by a description of the sensorless technique.

Trade-off Analysis in Multi-objective Optimization Using Chebyshev Orthogonal Polynomials

  • Baek Seok-Heum;Cho Seok-Swoo;Kim Hyun-Su;Joo Won-Sik
    • Journal of Mechanical Science and Technology
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    • v.20 no.3
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    • pp.366-375
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    • 2006
  • In this paper, it is intended to introduce a method to solve multi-objective optimization problems and to evaluate its performance. In order to verify the performance of this method it is applied for a vertical roller mill for Portland cement. A design process is defined with the compromise decision support problem concept and a design process consists of two steps: the design of experiments and mathematical programming. In this process, a designer decides an object that the objective function is going to pursuit and a non-linear optimization is performed composing objective constraints with practical constraints. In this method, response surfaces are used to model objectives (stress, deflection and weight) and the optimization is performed for each of the objectives while handling the remaining ones as constraints. The response surfaces are constructed using orthogonal polynomials, and orthogonal array as design of experiment, with analysis of variance for variable selection. In addition, it establishes the relative influence of the design variables in the objectives variability. The constrained optimization problems are solved using sequential quadratic programming. From the results, it is found that the method in this paper is a very effective and powerful for the multi-objective optimization of various practical design problems. It provides, moreover, a reference of design to judge the amount of excess or shortage from the final object.

(A Realization of Low Power SRAM by Supply Voltage Detection Circuit and Write Driver with Variable Drivability) (전원전압 감지기 및 가변 구동력을 가진 쓰기 구동기에 의한 저전력 SRAM 실현)

  • Bae, Hyo-Gwan;Ryu, Beom-Seon;Jo, Tae-Won
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.2
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    • pp.132-139
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    • 2002
  • This paper describes a supply voltage detector and SRAM write driver circuit which dissipates small power. The supply voltage detector generates high signal when supply voltage is higher than reference voltage, but low signal when supply voltage is lower than reference voltage. The write driver utilizes two same-sized drivers to reduce operating current in the write cycle. In the case of lower supply voltage comparing to Vcc, both drivers are active the same as conventional write driver, while in the case of high Vcc only one of two drivers are active so as to deliver the half of the current. As a result of simulation using 0.6${\mu}{\textrm}{m}$ 3.3v/5v, CMOS model parameter, the proposed SRAM scheme shows a 22.6% power reduction and 12.7% PDP reduction at Vcc=3.3V, compared to the conventional one.

Temperature Control of a CSTR using Fuzzy Gain Scheduling (퍼지 게인 스케쥴링을 이용한 CSTR의 온도 제어)

  • Kim, Jong-Hwa;Ko, Kang-Young;Jin, Gang-Gyoo
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.9
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    • pp.839-845
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    • 2013
  • A CSTR (Continuous Stirred Tank Reactor) is a highly nonlinear process with varying parameters during operation. Therefore, tuning of the controller and determining the transition policy of controller parameters are required to guarantee the best performance of the CSTR for overall operating regions. In this paper, a methodology employing the 2DOF (Two-Degree-of-Freedom) PID controller, the anti-windup technique and a fuzzy gain scheduler is presented for the temperature control of the CSTR. First, both a local model and an EA (Evolutionary Algorithm) are used to tune the optimal controller parameters at each operating region by minimizing the IAE (Integral of Absolute Error). Then, a set of controller parameters are expressed as functions of the gain scheduling variable. Those functions are implemented using a set of "if-then" fuzzy rules, which is of Sugeno's form. Simulation works for reference tracking, disturbance rejecting and noise rejecting performances show the feasibility of using the proposed method.

Customer Loyalty on Household Consumer Goods Distribution: A Survey among the Asian Parent Indonesia Community

  • NURAINY, Yeany;HIDAYAT, Z.;NANI, Robby Marcelinus;APRILINA, Riezca Kartika Dara
    • Journal of Distribution Science
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    • v.20 no.4
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    • pp.9-19
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    • 2022
  • Purpose: Mothers determines all household requirements and decides almost all their related things. The purpose of this study was to examine several independent variables on customer loyalty among mothers in The Asian Parents Indonesia community. The independent variables include advertising on Instagram, brand image, word-of-mouth, community cohesiveness, while the dependent variable is purchasing decisions. Research design, data, and methodology: This quantitative study uses a survey method for the Asian Parents Indonesia community members, listed on its website. The population of this community was recorded at 1,310, with a sample of 135 respondents. Data processing is done by using Structural Equation Model using Smart-PLS software. Results: Variables that significantly affect purchasing decisions and customer loyalty are word-of-mouth,summarized in a testimony, advertising on Instagram, and brand image. However, community cohesiveness does not affect customer loyalty to a brand. Conclusion: The results of this test propose significant implications for developing the relationship between baby toiletries producers and customers through word-of-mouth testimonials and advertisements on Instagram while community cohesiveness in maintaining customer loyalty using a brand is not influential, but interactions that occur within the community become a reference for mothers to choose a baby toiletries product.