• Title/Summary/Keyword: coefficient-based method

Search Result 2,699, Processing Time 0.032 seconds

Hybrid Method using Frame Selection and Weighting Model Rank to improve Performance of Real-time Text-Independent Speaker Recognition System based on GMM (GMM 기반 실시간 문맥독립화자식별시스템의 성능향상을 위한 프레임선택 및 가중치를 이용한 Hybrid 방법)

  • 김민정;석수영;김광수;정호열;정현열
    • Journal of Korea Multimedia Society
    • /
    • v.5 no.5
    • /
    • pp.512-522
    • /
    • 2002
  • In this paper, we propose a hybrid method which is mixed with frame selection and weighting model rank method, based on GMM(gaussian mixture model), for real-time text-independent speaker recognition system. In the system, maximum likelihood estimation was used for GMM parameter optimization, and maximum likelihood was used for recognition basically Proposed hybrid method has two steps. First, likelihood score was calculated with speaker models and test data at frame level, and the difference is calculated between the biggest likelihood value and second. And then, the frame is selected if the difference is bigger than threshold. The second, instead of calculated likelihood, weighting value is used for calculating total score at each selected frame. Cepstrum coefficient and regressive coefficient were used as feature parameters, and the database for test and training consists of several data which are collected at different time, and data for experience are selected randomly In experiments, we applied each method to baseline system, and tested. In speaker recognition experiments, proposed hybrid method has an average of 4% higher recognition accuracy than frame selection method and 1% higher than W method, implying the effectiveness of it.

  • PDF

On Flexible Bayesian Test Criteria for Nested Point Null Hypotheses of Multiple Regression Coefficients

  • Jae-Hyun Kim;Hea-Jung Kim
    • Communications for Statistical Applications and Methods
    • /
    • v.3 no.3
    • /
    • pp.205-214
    • /
    • 1996
  • As flexible Bayesian test criteria for nested point null hypotheses of multiple regression coefficients, partial and overall Bayes factors are introduced under a class of intuitively meaningful prior. The criteria lead to a simple method for considering different prior beliefs on the subspaces that constitute a partition of the coefficient parameter space. A couple of tests are suggested based on the criteria. It is shown that they enable us to obtain pairwise comparisons of hypotheses of the partitioned subspaces. Through a Monte Carlo simulation, performance of the tests based on the criteria are compared with the usual Bayesian test (based on Bayes factor)in terms of their respective powers.

  • PDF

Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments

  • Nga, Nguyen Thi Thanh;Khanh, Nguyen Kim;Hong, Son Ngo
    • IEIE Transactions on Smart Processing and Computing
    • /
    • v.5 no.2
    • /
    • pp.85-93
    • /
    • 2016
  • The existence of correlation characteristics brings significant potential advantages to the development of efficient routing protocols in wireless sensor networks. This research proposes a new simple method of clustering sensor nodes into correlation groups in multiple-correlation areas. At first, the evaluation of joint entropy for multiple-sensed data is considered. Based on the evaluation, the definition of correlation region, based on entropy theory, is proposed. Following that, a correlation clustering scheme with less computation is developed. The results are validated with a real data set.

Classification of TV Program Scenes Based on Audio Information

  • Lee, Kang-Kyu;Yoon, Won-Jung;Park, Kyu-Sik
    • The Journal of the Acoustical Society of Korea
    • /
    • v.23 no.3E
    • /
    • pp.91-97
    • /
    • 2004
  • In this paper, we propose a classification system of TV program scenes based on audio information. The system classifies the video scene into six categories of commercials, basketball games, football games, news reports, weather forecasts and music videos. Two type of audio feature set are extracted from each audio frame-timbral features and coefficient domain features which result in 58-dimensional feature vector. In order to reduce the computational complexity of the system, 58-dimensional feature set is further optimized to yield l0-dimensional features through Sequential Forward Selection (SFS) method. This down-sized feature set is finally used to train and classify the given TV program scenes using κ -NN, Gaussian pattern matching algorithm. The classification result of 91.6% reported here shows the promising performance of the video scene classification based on the audio information. Finally, the system stability problem corresponding to different query length is investigated.

Effect of Film Thickness on the Tribological Characteristics of Zdol Lubricant on Silicon Surface

  • Kim, Yong-Sik;Yang, Ji-Chul;Kim, Dae-Eun
    • International Journal of Precision Engineering and Manufacturing
    • /
    • v.5 no.1
    • /
    • pp.13-18
    • /
    • 2004
  • In precision mechanical components that experience sliding, it is important to reduce the friction to minimize surface damage. Particularly, new lubrication methods are needed to reduce friction in silicon based micro-systems applications. In this work, the tribological characteristics of PFPE (Perfluoropolyether) Zdol lubricant on silicon were investigated based on the thickness of the film. The lubricant was coated on silicon wafer specimens by the dip coating method. It was shown that the friction coefficient as well as stiction decreased as the thickness of the film increased. The results of this work may be applied to improve the tribological performance of silicon based micro-system components.

Production planning in fish farm (어류양식장 생산계획에 관한 연구)

  • EH, Youn-Yang
    • The Journal of Fisheries Business Administration
    • /
    • v.46 no.3
    • /
    • pp.129-141
    • /
    • 2015
  • Because land based aquaculture is restricted by high investment per rearing volume and control cost, good management planning is important in Land-based aquaculture system case. In this paper master production planning was made to decide the number of rearing, production schedule and efficient allocation of water resources considering biological and economic condition. The purpose of this article is to build the mathematical decision making model that finds the value of decision variable to maximize profit under the constraints. Stocking and harvesting decisions that are made by master production planning are affected by the price system, feed cost, labour cost, power cost and investment cost. To solve the proposed mathematical model, heuristic search algorithm is proposed. The model Input variables are (1) the fish price (2) the fish growth rate (3) critical standing corp (4) labour cost (5) power cost (6) feed coefficient (7) fixed cost. The model outputs are (1) number of rearing fish (2) sales price (3) efficient allocation of water pool.

Two camera based touch screen system for human computer interaction (인간과 컴퓨터 상호 작용을 위한 2개의 카메라 기반의 터치 스크린 시스템)

  • Kim, Jin-Kuk;Min, Kyung-Won;Ko, Han-Seok
    • Proceedings of the IEEK Conference
    • /
    • 2006.06a
    • /
    • pp.319-320
    • /
    • 2006
  • In this paper, we propose a vision based system employing two cameras to provide effective touch screen function. The two main processes - determining touch (or no-touch) and contact location of screen plane - are essential for enabling touch screen function. First region of interest is found by using color characteristic and histogram for determining the contact mode. Second, if the hand touches the mirror, the fingertip point in image is found using the correlation coefficient based on the mirror attribute. Subsequently, the fingertip coordinate in image is transformed to the location in mirror plane by using four predefined points (termed as four-point method) and bilinear transform. Representative experimental results show that the proposed system is suited to touch screen.

  • PDF

Clinical Judgment Force and Nursing Performance Satisfaction by Application of Simulation-based Myocardial Infarction Education (시뮬레이션 기반한 심근경색증 상황 교육 적용에 따른 임상판단력과 간호수행자신감)

  • Shin, Seung-Ok
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.22 no.6
    • /
    • pp.721-727
    • /
    • 2019
  • The purpose of this study is to investigate the relationship between clinical judgment and nursing performance based on myocardial infarction simulation applied to nursing students. Method: 39 fourth grade nursing students participated in this explanatory study with sampling of accommodations. The Lasater Clinical Judgment Rubric has been used in self-reported clinical trials and satisfaction with judging practices. Data were analyzed by descriptive statistics, t-test and Pearson's correlation coefficient using SPSS WIN 19. Results: Scenarios with myocardial infarction were scored by self-reported clinical judgment. Total mean score of clinical judgment and total mean value of clinical judgment is 4.17 ± 0.80. Correlation Between Variables After Simulation Practice is highly significant for providing positive clinical judgment and satisfaction with nursing performance. Conclusion: The simulation-based practice associated with adult nursing in myocardial infarction was useful for clinical judgment and nursing performance satisfaction, which improved the core basic skills of nursing students.

Structural identification based on substructural technique and using generalized BPFs and GA

  • Ghaffarzadeh, Hosein;Yang, T.Y.;Ajorloo, Yaser Hosseini
    • Structural Engineering and Mechanics
    • /
    • v.67 no.4
    • /
    • pp.359-368
    • /
    • 2018
  • In this paper, a method is presented to identify the physical and modal parameters of multistory shear building based on substructural technique using block pulse generalized operational matrix and genetic algorithm. The substructure approach divides a complete structure into several substructures in order to significantly reduce the number of unknown parameters for each substructure so that identification processes can be independently conducted on each substructure. Block pulse functions are set of orthogonal functions that have been used in recent years as useful tools in signal characterization. Assuming that the input-outputs data of the system are known, their original BP coefficients can be calculated using numerical method. By using generalized BP operational matrices, substructural dynamic vibration equations can be converted into algebraic equations and based on BP coefficient for each story can be estimated. A cost function can be defined for each story based on original and estimated BP coefficients and physical parameters such as mass, stiffness and damping can be obtained by minimizing cost functions with genetic algorithm. Then, the modal parameters can be computed based on physical parameters. This method does not require that all floors are equipped with sensor simultaneously. To prove the validity, numerical simulation of a shear building excited by two different normally distributed random signals is presented. To evaluate the noise effect, measurement random white noise is added to the noise-free structural responses. The results reveal the proposed method can be beneficial in structural identification with less computational expenses and high accuracy.

An Experimental Study on Quantitative Interpretation of Local Convective Heat Transfer for the Fin and Tube Heat Exchanger Using Lumped Capacitance Method (Lumped Capacitance 방법을 이용한 휜-관 열교환기의 정량적 국소 대류 열전달 해석을 위한 실험적 연구)

  • Kim, Ye-Yong;Kim, Gwi-Sun;Jeong, Gyu-Ha
    • Transactions of the Korean Society of Mechanical Engineers B
    • /
    • v.25 no.2
    • /
    • pp.205-215
    • /
    • 2001
  • An experimental study has been performed to investigate the heat transfer characteristics of fin and tube heat exchanger. The existing transient and steady methods are very difficult to apply for the measurements of heat transfer coefficients of a thin heat transfer model. In this study the lumped capacitance method was adopted. The heat transfer coefficients were measured by using the lumped capacitance method based on the liquid crystal thermography. The method is validated through impinging jet and flat plate flow experiments. The two experiments showed that the results of the lumped capacitance method with polycarbonate model showed very good agreements with those of the transient method with acryl model. The lumped capacitance method showed similar results regardless of the thickness of polycarbonate model. The method was also applied for the heat transfer coefficient measurements of a fin and tube heat exchanger. The quantitative heat transfer coefficients of the plate fin were successfully obtained. As the frontal velocity increased, the heat transfer coefficients were increased, but the color-band shape showed similar patterns regardless of frontal velocity.