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. 31 (2018), No. 9

  • Introduction of an Optimization Technique with Dividing Term and Moving Horizon

    pp. 313-327

    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.31.313

    In case of considering real scale processes, because of many facilities, many numbers of jobs and long target terms, it usually takes long time to make production plan and schedule, and to make matters worse, we are not able to get them with adequate accuracy. There are few papers to solve these problems before, so in this paper, we propose a method to get them faster than ever and with adequate accuracy for these kinds of problems. In this method, we decide time horizon and make plan and schedule for this time horizon. In real processes, there are many complex constraints, so in the above horizon, the problems to be solved are simplified. Once problems are simplified, we solve the simplified problems, and we revise the plans and the schedules as the plans and schedules satisfy original constraints by using the precise simulator imitating the real processes. Then we proceed to next time horizon. We tested this method by computational experiments, and this method is effective for getting plans and schedules with adequate accuracy faster than ever.
    x

    Readers Who Read This Article Also Read

    1. Dominant Pole Analysis of Linear Positive Systems with Multiple Time-Delays Transactions of the Institute of Systems, Control and Information Engineers Vol.28(2015), No.4
    2. Effect of Coke Size on Reducing Agent Ratio (RAR) in Blast Furnace ISIJ International Vol.58(2018), No.12
  • A Proposal on Feature Analysis for Digging Operation of Excavator by Machine Learning

    pp. 328-335

    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.31.328

    In the construction field, the improvement of productivity and the work efficiency are demanded by the introduction of automation and ICT technology for the construction machine. However, it is the fact that the work efficiency and productivity depend on the operator skill of the construction machine in the current construction field. Therefore, the work efficiency will be high in the field with the skilled operator. In this paper, the analysis of feature for the digging operation of an excavator by using a random forest is proposed. A random forest is learned on the basis of skilled work states. The operation difference has been verified by the judgment result of the random forest compared with novice, typical, and professional work states. Moreover, the difference of operations has been considered by state flow models which were made from the judgment result of the random forest.
    x

    Readers Who Read This Article Also Read

    1. Microstructure and Mechanical Properties of CO2 Laser-MAG Hybrid Weld of High Strength Steel QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY Vol.24(2006), No.4
    2. Porosity Formation in CO2 Laser Welding of Steel Sheets QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY Vol.19(2001), No.2
    3. Evaporation Characteristics in Laser Welding QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY Vol.13(1995), No.4
  • An Identification Method for Single-Input Single-Output Linear Systems with White Noise Gain Function

    pp. 336-345

    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.31.336

    A new algorithm is proposed to estimate parameters of Single-Input Single-Output system with white noise gain function. The algorithm is an expansion of the previously proposed algorithms proposed by the author with iterative estimation of the variances of noises. This algorithm uses an iterative calculation and it consists of two parts. One part is the estimation of the system parameters by use of the variances of input and output noises. The estimation of the system parameters is one of the least squares identification algorithms using eigenvector. The other part is the estimation of the variances of input and output noises using the white noise gain function of the identified system parameters. Some simulations show the effectiveness of the proposed method.

Article Access Ranking

20 Jan. (Last 30 Days)

  1. Thermodynamic Conditions of MgO and MgO∙Al2O3 Formation and Variation of Inclusions Formed in Fe-17mass%Cr Steel at 1873 K ISIJ International Vol.61(2021), No.9
  2. High Temperature Softening and Melting Interactions Between Newman Blend Lump and Sinter ISIJ International Vol.61(2021), No.12
  3. Interaction Coefficients of Mo, B, Ni, Ti and Nb with Sn in Molten Fe–18mass%Cr Alloy ISIJ International Advance Publication
  4. A Hybrid Modeling Method Based on Expert Control and Deep Neural Network for Temperature Prediction of Molten Steel in LF ISIJ International Advance Publication
  5. Structure of Aluminosilicate Melts ISIJ International Vol.61(2021), No.12
  6. Impact of Dislocation Density and Mobility on Yielding Behavior in Quenched Medium-carbon Martensitic Steel Tempered at Low Temperature ISIJ International Advance Publication
  7. Numerical Simulation of Flash Reduction of Iron Ore Particles with Biomass Syngas ISIJ International Advance Publication
  8. Powder Injection Effect on Hot Metal Desulfurization Behavior in the Kanbara Reactor: a Transient 3D Coupled Numerical Model ISIJ International Advance Publication
  9. Effects of High-Oxygen-Level Process Gas (40% O2) on the Temperature and Strength Development of a Magnetite Pellet Bed during Pot Furnace Induration ISIJ International Advance Publication
  10. Editorial Board, Copyright Page and Announcements ISIJ International Vol.61(2021), No.12

Search Phrase Ranking

20 Jan. (Last 30 Days)

  1. blast furnace
  2. blast furnace permeability
  3. blast furnace productivity
  4. isij
  5. interaction parameter cu cr
  6. 1235 aluminum alloy
  7. ahss
  8. hideki ono
  9. kengo kato
  10. selective oxidation