Transactions of the Institute of Systems, Control and Information Engineers
New Arrival Alert : OFF

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign up
ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668

Transactions of the Institute of Systems, Control and Information Engineers Vol. 5 (1992), No. 12

  • A Generalization of Bayes Theorem in Theory of Evidence

    pp. 481-490

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.481

    A generalized Bayes theorem in the frame of Shafer's theory of evidence is proposed. Smets proposed a procedure for obtaining a posterior basic probability assignment from prior and conditional basic probability assignments using Dempster rule of combination. We show that the uncertainty in the sense of non-specificity of a probability distribution changes by the Smets' procedure. Hence, it contradict with Bayes theorem. We formulate a new combination rule and construct a procedure for obtaining a posterior basic probability assignment without changing the uncertainty. We verify that the proposed rule is reduced to Bayes theorem when each of basic probability assignment is a regular probability assignment. It is also Jeffrey's rule when observation is obtained by a probability distribution and prior distributions are probability distributions.
  • Recognition of Burden Profile at the Top of Blast Furnace Using Neural Network Model

    pp. 491-498

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.491

    Recently, neural network models have been applied to solve various problems and multi layer neural network with back propagation algorithm is shown to be useful for pattern recognition. In this paper, a recognition system for burden profile at the top of blast furnace using the neural network is described. Here, two problems of the neural network are studied. One is how to escape from local minima in learning process. For this purpose, a new method which updates the teaching data from simple to complicated one is proposed, and the effectiveness of the method is shown. Another problem is the selection of teaching data in recognition of scaler value, such as length. For this problem, two teaching data, which we call digital and analog type teaching data, are compared, and the digital type teaching data is shown to be better for the recognition of blast furnace data.
  • A Mathematical Model for Growth of Sargassum Horneri and Its Environment

    pp. 499-506

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.499

    Seaweed plays an important role in aquatic ecosystem. It supplies nutrient and provides the place of life for many kinds of living organism in the sea. In order to control the marine resources reasonably, a study on the growth dynamics of seaweed is necessary.
    First, effects of solar radiation and water temperature on photosynthetic activity are considered. Secondly, a seasonal effect is introduced as a physiological phenomenon. Finally, a mathematical model of growth dynamics of Sargassum horneri is constructed from the idea of operating these effects multiplicatively. The model, parameters are determined on the basis of the observation data which were measured for Sargassum horneri at Notojima Aquarium, Ishikawa Prefecture. By a computer simulation, the weight of Sargassum horneri is estimated for any change of the environmental conditions.
  • Robustness of Double-Adaptive Observers

    pp. 507-512

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.507

    The usual process identification methods for parameter adjustment, along with dead zone, are effective in providing a robust adaptive observer of an unknown plant under uncertain input disturbance and output measurement noise. But it is difficult to decide the size of the dead zone due to the lack of knowledge concerning the disturbance. Furthermore, an error may remain in the dead zone despite the existence or nonexistence of the disturbance and the noise. In this paper, we propose a double-adaptive observer and discuss its robustness. Unlike previous work, this scheme does not introduce parameters that depend on the characteristics of the unknown disturbance. So, when the disturbance or the noise does not exist, the parameters converge over time. The stability of the system is discussed and computer simulation results are presented.
  • Share from Local Shading Expansion

    pp. 513-520

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.513

    This paper is concerned with an extended shape from shading and a photometric stereo using local shading analysis. In general the direction of the steepest change in the image plane corresponds to the steepest gradient of the reflectance map. The local shading expansion method is proposed using this characteristic. The shape from shading can be applied locally.by use of this method to extract surface orientation of objects with uniform Lambertian reflectance properties. The number of light sources of the photometric stereo can be reduced to two light sources by use of this local shading expansion method. Surface orientation of objects with non-uniform Lambertian or uniform specular reflectance properties can be obtained using this photometric stereo.
    This paper presents the local shading expansion method and shows reconstructed shapes of objects using extracted surface orientation by this method.
  • A Simulation Study on Schooling Mechanism in Fish Behavior

    pp. 521-523

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.521

  • A Solution of Parallel Path Selection Problem by Using Genetic Algorithm

    pp. 524-526

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.5687/iscie.5.524

Article Access Ranking

25 Sep. (Last 30 Days)

  1. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  2. Recent Progress of Instrumentation Technology for Process Automation in Steel Industry Tetsu-to-Hagané Vol.106(2020), No.9
  3. Accuracy Improvement of the XRD-Rietveld Method for the Quantification of Crystalline Phases in Iron Sintered Ores through the Correction of Micro-absorption Effects ISIJ International Advance Publication
  4. Melting Erosion Failure Mechanism of Tuyere in Blast Furnace ISIJ International Advance Publication
  5. Evaluation and Prediction of Blast Furnace Status Based on Big Data Platform of Ironmaking and Data Mining ISIJ International Advance Publication
  6. An Empirical Comparative Study of Renewable Biochar and Fossil Carbon as Carburizer in Steelmaking ISIJ International Advance Publication
  7. Potential Influences of Impurities on Properties of Recycled Carbon Steel ISIJ International Advance Publication
  8. Review on the High-Temperature Thermophysical Properties of Continuous Casting Mold Fluxes for Highly Alloyed Steels Tetsu-to-Hagané Advance Publication
  9. Optimization Analysis of Mechanical Performance of Copper Stave with Special-shaped Tubes in the Blast Furnace Bosh ISIJ International Advance Publication
  10. Influence of Soil Particle Size, Covering Thickness, and pH on Soil Corrosion of Carbon Steel ISIJ International Advance Publication

Search Phrase Ranking

25 Sep. (Last 30 Days)

  1. blast furnace
  2. blast furnace permeability
  3. ultrasonic testing bar small diameter
  4. blast furnace productivity
  5. jeong-sik kim
  6. isij international
  7. 柳修介
  8. continuous casting of copper alloys
  9. tetsu
  10. tetsu-to-hagane