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. 33 (2020), No. 5

  • Analysis for Cooperation of Actuators in Pneumatic Musculoskeletal Leg Model with Asymmetric Antagonistic Structure

    pp. 131-138

    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.33.131

    Many researchers have developed musculoskeletal robots with McKibben pneumatic actuator to elucidate the movement mechanism of animals by a constructive approach in previous studies. These robots can realize various dynamic motions by simple control, such as adjustment of the pressure input patterns. However, the pressure input patterns are often determined by trial and error, and it has not been clarified what kind of mechanism an autonomous coordination pattern like animals is generated. In this study, we propose a new control law based on some force feedback to achieve autonomous coordination of antagonistic muscles. The control law is applied to a leg model with asymmetric antagonistic structure, and the capability was analyzed through numerical simulations and experiments with an actual robot. From these results, it is confirmed that the proposed control law can generate cooperations of the antagonistic muscles and realize periodic motion of the leg.
  • Evaluation for Energy Savings in Occupancy Lighting Control using Vision-based Motion Sensor

    pp. 139-148

    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.33.139

    In this paper, we aim to evaluate an occupancy lighting control by using vision-based motion sensor compared with passive infrared (PIR) motion sensor. Our results showed that vision-based sensor improved detection accuracy by 21.7% and detected small movement of occupant more accurately than PIR sensor. We also confirmed that vision-based sensor enabled to reduce off-delay, which is introduced to prevent undesired switching off light, by 7.92 min (74.8%). As a result of simulation for occupancy lighting control with vision-based sensor and PIR sensor, vision-based sensor enabled to improve energy saving rate by 8.9%. Additionally, we discussed disadvantages of vision-based sensor confirmed in our experiment and considered solutions for them.
  • Development of Worker’s Nonstandard Motion Detection System in Cell Production Line

    pp. 149-155

    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.33.149

    In this paper, we propose a method to detect workers’ nonstandard motion in cell production lines. Our method consists of three features: (1) sensing motion of a person, (2) measuring the time of motion by using Dynamic Time Warping and (3) analysis of the motion time. We applied the method to a prototype cell production line in our factory and verified its effectiveness. In an interview with Industrial Engineer, we have confirmed that our system has the potential to reduce the time taken for discovering nonstandard motion from 10 hours to 2.5 hours. From the above, we conclude that our method can enhance the efficiency of cell production line improvement.
  • Influence of Pruning Neural Network on Sensitivity Map

    pp. 156-162

    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.33.156

    Neural networks have high performance in tasks such as image recognition. However, the computational cost is high, and it is difficult to implement them on small devices. In recent years, in order to solve this problem, research on compression techniques of the neural network has been advanced. “Pruning” is known as one of the important approaches for compression techniques. A “sensitivity map” is a map that visualizes which area of the input data the model focused on. However, it has not been analyzed much on how the model structual changes by pruning affects the sensitivity maps. In this paper, we analyze the influence of pruning on the sensitivity maps. As a result, it was found that the region of interest in the background of the sensitivity map was reduced after pruning.
  • Generating and Analyzing Collective Behavior in a Robotic Swarm by the Use of Deep Reinforcement Learning and Deep Neuroevolution

    pp. 163-170

    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.33.163

    This study proposes a method to apply deep neural networks to controllers of robotic swarms. In a typical approach to design controllers, the designer has to define the features extracted from sensory inputs in advance. By applying deep neural networks with convolution layers, it can automatically extract features from sensory inputs. We applied two methods to train the deep neural networks, i.e.,deep reinforcement learning and deep neuroevolution. The controllers were tested in a path-formation task using computer simulations. Compared with deep reinforcement learning, deep neuroevolution was able to generate collective behavior even in sparse reward settings.

Article Access Ranking

23 Sep. (Last 30 Days)

  1. Formation and Evolution of Inclusions in High Chromium Steel ISIJ International Vol.61(2021), No.9
  2. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  3. Preface to the Special Issue on “Recent Progress in Inclusion/ Precipitate Engineering” ISIJ International Vol.61(2021), No.9
  4. Evaluation of Interfacial Energy between Molten Fe and Fe-18%Cr-9%Ni Alloy and Non-Metallic Inclusion-Type Oxides ISIJ International Vol.61(2021), No.9
  5. Effect of Heating Rate on Carbothermic Reduction and Melting Behavior of Iron Ore-Coal Composite Pellets ISIJ International Advance Publication
  6. Analysis of Air-Mist Cooling Effect for Coil in the Electromagnetic Induction Controlled Automated Steel Teeming System ISIJ International Vol.61(2021), No.9
  7. Production and Technology of Iron and Steel in Japan during 2020 ISIJ International Vol.61(2021), No.6
  8. Modeling of Wall Shear Stress Induced Inclusion Transport and Removal in Multi-Strand Tundish ISIJ International Vol.61(2021), No.9
  9. Three-dimensional Quantitative Evaluation of the Lamellar Curvature in Pearlitic Steel Based on an Orientation Analysis of Cementite ISIJ International Advance Publication
  10. Simultaneous Analysis of Soluble and Insoluble Oxygen Contents in Steel Specimens Using Inert Gas Fusion Infrared Absorptiometry ISIJ International Vol.61(2021), No.9

Search Phrase Ranking

23 Sep. (Last 30 Days)

  1. blast furnace
  2. inconel 600
  3. blast furnace productivity
  4. miyamoto goro
  5. b2o3 mold flux
  6. blue carbon
  7. investigation of arc behavior and temperature distribution corresponding to electrode and phase configurations in a multiphase ac arc
  8. ohno
  9. sei kimura
  10. skd61