• Title/Summary/Keyword: graphical model

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A P-Parallel Controller Design based on P-Control Ramp Response in Machine Tool (비례제어 경사응답에 기반한 공작기계의 비례-병렬 제어기 설계)

  • Gil, Hyeong-Gyeun;Lee, Gun-Bok
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.780-785
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    • 2004
  • The work presented here deals with controller design by graphical method based on proportional control ramp response. The design aims at the improvement of transient response, disturbance rejection capability, steady-state error reduction with stability preservation. The first step is to generate tracking-error curve with proportional control only and decide the added error signal shape on the error curve. The effectiveness of the proposed controller is confirmed through the simulation and experiment.

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Real-Time Hand Pose Tracking and Finger Action Recognition Based on 3D Hand Modeling (3차원 손 모델링 기반의 실시간 손 포즈 추적 및 손가락 동작 인식)

  • Suk, Heung-Il;Lee, Ji-Hong;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.35 no.12
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    • pp.780-788
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    • 2008
  • Modeling hand poses and tracking its movement are one of the challenging problems in computer vision. There are two typical approaches for the reconstruction of hand poses in 3D, depending on the number of cameras from which images are captured. One is to capture images from multiple cameras or a stereo camera. The other is to capture images from a single camera. The former approach is relatively limited, because of the environmental constraints for setting up multiple cameras. In this paper we propose a method of reconstructing 3D hand poses from a 2D input image sequence captured from a single camera by means of Belief Propagation in a graphical model and recognizing a finger clicking motion using a hidden Markov model. We define a graphical model with hidden nodes representing joints of a hand, and observable nodes with the features extracted from a 2D input image sequence. To track hand poses in 3D, we use a Belief Propagation algorithm, which provides a robust and unified framework for inference in a graphical model. From the estimated 3D hand pose we extract the information for each finger's motion, which is then fed into a hidden Markov model. To recognize natural finger actions, we consider the movements of all the fingers to recognize a single finger's action. We applied the proposed method to a virtual keypad system and the result showed a high recognition rate of 94.66% with 300 test data.

Informatics Network Representation Using Probabilistic Graphical Models of Network Genetics (유전자 네트워크에서 확률적 그래프 모델을 이용한 정보 네트워크 추론)

  • Ra Sang-Dong;Park Dong-Suk;Youn Young-Ji
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.8
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    • pp.1386-1392
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    • 2006
  • This study is a numerical representative modelling analysis for applying the process that unravels networks between cells in genetics to WWW of informatics. Using the probabilistic graphical model, the insight from the data describing biological networks is used for making a probabilistic function. Rather than a complex network of cells, we reconstruct a simple lower-stage model and show a genetic representation level from the genetic based network logic. We made probabilistic graphical models from genetic data and extends them to genetic representation data in the method of network modelling in informatics.

Informatics Network Representation Between Cells Using Probabilistic Graphical Models (확률적 그래프 모델을 이용한 세포 간 정보 네트워크 추론)

  • Ra, Sang-Dong;Shin, Hyun-Jae;Cha, Wol-Suk
    • KSBB Journal
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    • v.21 no.4
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    • pp.231-235
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    • 2006
  • This study is a numerical representative modeling analysis for the application of the process that unravels networks between cells in genetics to web of informatics. Using the probabilistic graphical model, the insight from the data describing biological networks is used for making a probabilistic function. Rather than a complex network of cells, we reconstruct a simple lower-stage model and show a genetic representation level from the genetic based network logic. We made probabilistic graphical models from genetic data and extends them to genetic representation data in the method of network modeling in informatics

Magnetic Particle Separation by an Optimized Coil: A Graphical User Interface

  • Rouhi, Kasra;Hajiaghajani, Amirhossein;Abdolali, Ali
    • Journal of Magnetics
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    • v.22 no.2
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    • pp.214-219
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    • 2017
  • Magnetic separators that clean the fluid stream from impurities, protect the installations in numerous industries. This paper introduces a graphical user interface (GUI) which proposes an optimized coil separating magnetic particles with a radius from 1 up to 500 µm. High gradient magnetic fields are employed in an arbitrary user defined fluidic channel which is made of a nonmetallic material. The effects of coil parameters are studied and adjusted to design an optimum coil with a minimum Ohmic loss. In addition, to design the coil scheme based on the particle movements, a mathematical particle-tracing model within the fluid channels has been utilized. In comparison to conventional magnetic separators, this model is reconfigurable by the user, produces a weaker magnetic field, allows for continuous purifying and is easy to install, with high separation efficiency. The presented GUI is simple to use, where the coil's manufacturing limitations can be specified.

Towards a Taxonomy of Business Process and Its Anomalies

  • Suchenia, Anna
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.230-240
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    • 2021
  • This paper presents the definition of a business process and a taxonomy of anomalies in BPMN. Graphical modeling is very popular nowadays and is easily understood by various specialists from different fields. Modeling is a graphical representation of processes in an organization using available rules and resources. Therefore, it is important to use a universal and comprehensive standard to describe models of processes, decisions and software. Such a standard is the BPMN notation, which is a precise notation, but unfortunately it is only a descriptive and graphical form that may contain inaccuracies. The aim of this paper is to collect and analyze available literature describing current state of knowledge about BPMN notation and to present problems and shortcomings related to this topic. The paper includes a taxonomy of problems, their definitions and examples of occurrence in real cases.

Opportunistic Spectrum Access with Dynamic Users: Directional Graphical Game and Stochastic Learning

  • Zhang, Yuli;Xu, Yuhua;Wu, Qihui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.12
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    • pp.5820-5834
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    • 2017
  • This paper investigates the channel selection problem with dynamic users and the asymmetric interference relation in distributed opportunistic spectrum access systems. Since users transmitting data are based on their traffic demands, they dynamically compete for the channel occupation. Moreover, the heterogeneous interference range leads to asymmetric interference relation. The dynamic users and asymmetric interference relation bring about new challenges such as dynamic random systems and poor fairness. In this article, we will focus on maximizing the tradeoff between the achievable utility and access cost of each user, formulate the channel selection problem as a directional graphical game and prove it as an exact potential game presenting at least one pure Nash equilibrium point. We show that the best NE point maximizes both the personal and system utility, and employ the stochastic learning approach algorithm for achieving the best NE point. Simulation results show that the algorithm converges, presents near-optimal performance and good fairness, and the directional graphical model improves the systems throughput performance in different asymmetric level systems.

An Assessment of Electric Shock Hazard by Safety Criteria Using Graphical Method (그래프법을 이용한 안전기준에 의한 감전위험성 평가)

  • 김두현;강동규
    • Journal of the Korean Society of Safety
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    • v.16 no.3
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    • pp.53-60
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    • 2001
  • This paper presents a graphical method for hazard assessment of electric shock by safety criteria. For the human body to be safety actual body current should not exceed safety criteria, i.e. allowable body current. The assessment method presented in this paper is based m the safety criteria of the IEEE Standard 80 as well as the IEC 479-1. The hazard can be assessed in terms of alterable touch voltages instead of alterable body current. Thus, the hazard assessment of given electric shock condition is referred to a procedure by which the actual touch voltages are compared with the allowable (safe) touch voltages. Since the IEC 479-1 safety criteria are nonlinear, the graphical method is presented for the hazard assessment. Body current and body voltage are calculated with the allowable touch voltage. A comparison of the safety criteria of two widely accepted standards, i.e. the IEEE Std 80 End the IEC 479-1 is proposed. Also Thevenin equivalent resistance is obtained from electric shock model expressed by two-port earth-grid-foot system. On the basis of calculated results, the allowable touch voltage, the body current and the body voltage we can conduct the hazard or safety assessment and estimate the severity of electric shock.

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DD-Plot for ANCOVA Models (ANCOVA 모형을 위한 DD-plot)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.27 no.2
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    • pp.227-237
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    • 2014
  • We use the regression model with the indicator variables in the case that we use qualitative variables as some predictor variables in regression analysis. We use the ANCOVA(Analysis of Covariance) model when comparing the response variable among groups while statistically controlling for variation in the response variable caused by a variation in the covariate. DD-plot can be used as a graphical exploratory data analysis tool before the confirmatory data analysis. With the DD-plot, we can discriminate the difference of groups in the regression model with the indicator variables or the ANCOVA model at a glance. Making DD-plot does not demand the statistical model assumption about error terms in regression model. Several examples show the usefulness of DD-plots as a graphical exploratory data analysis tool for the regression analysis.