The Experts below are selected from a list of 66 Experts worldwide ranked by ideXlab platform

Kazuo Sato - One of the best experts on this subject based on the ideXlab platform.

  • development of fabric type of Tensional Force sensor
    International Conference on Micro Electro Mechanical Systems, 2009
    Co-Authors: Yoshitaka Suzuki, D. Ogura, Mitsuhiro Shikida, Y. Hasegawa, Kazuo Sato
    Abstract:

    We developed a Tensional Force sensor by applying artificial tetrafluoroethylene-perfluoroalkylvinyl ether copolymer (PFA) hollow fibers. The fibers were fabricated by depositing thin metal and an insulation layer on the PFA tube, and the fabric sensor was made by weaving the decorated PFA tube and the conventional cotton yarns together. The sensor was 57.0 × 4.0 mm. The sensor output linearly increased with the increase of the tension. We confirmed that the sensor output increased with applied tension at a rate of 2.1%/N.

  • Development of fabric-type of Tensional Force sensor
    Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS), 2009
    Co-Authors: Yu Suzuki, D. Ogura, Mitsuhiro Shikida, Y. Hasegawa, Kazuo Sato
    Abstract:

    We developed a Tensional Force sensor by applying artificial tetrafluoroethylene-perfluoroalkylvinyl ether copolymer (PFA) hollow fibers. The fibers were fabricated by depositing thin metal and an insulation layer on the PFA tube, and the fabric sensor was made by weaving the decorated PFA tube and the conventional cotton yarns together. The sensor was 57.0 times 4.0 mm. The sensor output linearly increased with the increase of the tension. We confirmed that the sensor output increased with applied tension at a rate of 2.1%/N.

Nikos A. Aspragathos - One of the best experts on this subject based on the ideXlab platform.

  • Model reference fuzzy learning Force control for robotized sewing
    2011 19th Mediterranean Conference on Control & Automation (MED), 2011
    Co-Authors: Dimitra Triantafyllou, Panagiotis N. Koustoumpardis, Nikos A. Aspragathos
    Abstract:

    A fuzzy model reference adaptive controller for regulating the fabric's Tensional Forces applied by a robot during the sewing task is developed. The adaptive fuzzy logic controller closes the loop outside the internal scara robot controller. The robot guides a piece of fabric in a conventional industrial sewing machine while its controller maintains a desired constant Tensional Force applied to the fabric during the sewing process. In each loop, the proposed controller calculates the appropriate robot end-effector displacement. A Force sensor mounted on the wrist of the robot manipulator measures the actual Force applied to the fabric, and the formulated Force error is used in order to adapt the controllers' parameters. The performance of the controller is investigated experimentally and the results show the effectiveness of the FMRL approach and its wide range of applications.

  • Fuzzy Logic Decision Mechanism Combined with a Neuro-Controller for Fabric Tension in Robotized Sewing Process
    Journal of Intelligent and Robotic Systems, 2003
    Co-Authors: Panagiotis N. Koustoumpardis, Nikos A. Aspragathos
    Abstract:

    A new approach for flexible automated handling of fabrics in the sewing process is described, which focuses to control the cloth tension applied by a robot. The proposed hierarchical robot control system includes a Fuzzy decision mechanism combined with a Neuro-controller. The expert's actions during the sewing process are investigated and this human behavior is interpreted in order to design the controller. The Fuzzy Logic decision mechanism utilizes only qualitative knowledge concerning the properties of the fabrics, in order to determine the desired Tensional Force and the location of the robot hand on the fabric. A Neural Network controller regulates the fabric tension to achieve the desired value by determining the robot end effector velocity. The simulation results demonstrate the efficiency of the system as well as the robustness of the controller performance since the effects of the noise are negligible. The system capabilities are more evident when the controller uses its previously acquired “experience”.

Ardeshir Bayat - One of the best experts on this subject based on the ideXlab platform.

  • skin equivalent Tensional Force alters keloid fibroblast behavior and phenotype
    Wound Repair and Regeneration, 2014
    Co-Authors: Edna Suarez, Farhatullah Syed, Teresa Alonso Rasgado, Alan Walmsley, Parthasarathi Mandal, Ardeshir Bayat
    Abstract:

    Skin tension may influence keloid scar behavior, development, and spreading, e.g., butterfly-shaped keloid disease in the sternum. Here, we developed a three- dimensional (3D) in vitro model to mimic in vivo tension and evaluate keloid fibroblast (KF) behavior and extracellular matrix synthesis under tension. In vivo skin tension measured in volunteers (n=4) using 3D image photogrammetry enabled prediction of actual Force (35 mN). A novel cell Force monitor applied tension in a fibroblast-populated 3D collagen lattice replicating the in vivo Force. The effect of tension on keloid (n=10) fibroblast (KF) and normal skin (n=10) fibroblasts (NF) at set time points (6, 12, and 24 hours) was measured inHsp27,PAI-2, andα2β1 integrin, tension-related genes demonstrating significant (p<0.05) time-dependent regulation of these genes in NF vs. KF with and without tension. KF showed higher (p<0.05) proliferation post-tension. Knockdown of all three genes in 24 and 48 hours with and without tension showed significant down-regulation in NF vs. KF. Additionally, we show significant (p<0.05) modification of the expression of extra- cellular matrix-related genes post-tension following down-regulation ofHsp27, PAI-2, orα2β1integrin. Finally, we demonstrate significant alteration in NF com- pared with KF morphology following knockdown. In conclusion, this study shows induction of tension-related genes expression following mechano-regulation in KFs, with potential relevance to its development and therapy.

Goro Obinata - One of the best experts on this subject based on the ideXlab platform.

  • Multi-axis Force measurement based on vision-based fluid-type hemispherical tactile sensor
    IEEE International Conference on Intelligent Robots and Systems, 2013
    Co-Authors: Yuji Ito, Youngwoo Kim, Goro Obinata
    Abstract:

    We propose a new method for the measurement of multi-axis contact Force by using vision-based fluid-type tactile sensor. The proposed sensor can also estimate the multimodal tactile information such as the slippage, the shape, the contact region and the location of the contacted object. Multi-axis contact Force is transformed from the elastic membrane Tensional Force on the touchpad surface, and the touchpad inner pressure measured by the pressure transducer. We obtain the Tensional Force by solving the equilibrium equations developed in each compartmentalized segment of the membrane, based on the shape information of the touchpad. The proposed method is general and can be applied to various touchpad contact situations. The usefulness of the proposed method is demonstrated through experimental results.

Valerie M Weaver - One of the best experts on this subject based on the ideXlab platform.

  • Modeling Morphogenesis and Oncogenesis in Three-Dimensional Breast Epithelial Cultures
    Annual Review of Pathology: Mechanisms of Disease, 2007
    Co-Authors: Christy Hebner, Valerie M Weaver, Jayanta Debnath
    Abstract:

    Three-dimensional (3D) epithelial culture systems recreate the car- dinal features of glandular epithelium in vivo and represent a valuable tool for modeling breast cancer initiation and progression in a struc- turally appropriate context. 3D models have emerged as a powerful method to interrogate the biological activities of cancer genes and oncogenic pathways, and recent studies have poignantly illustrated their utility in dissecting the emerging role of Tensional Force in regulating epithelial tissue homeostasis.We review how 3D models are being used to investigate fundamental cellular and biophysical mechanisms associated with breast cancer progression that have not been readily amenable to traditional genetic or biochemical analysis

  • The Tension Mounts: Mechanics Meets Morphogenesis and Malignancy
    Journal of Mammary Gland Biology and Neoplasia, 2004
    Co-Authors: Matthew J. Paszek, Valerie M Weaver
    Abstract:

    The tissue microenvironment regulates mammary gland development and tissue homeostasis through soluble, insoluble and cellular cues that operate within the three dimensional architecture of the gland. Disruption of these critical cues and loss of tissue architecture characterize breast tumors. The developing and lactating mammary gland are also subject to a plethora of Tensional Forces that shape the morphology of the gland and orchestrate its functionally differentiated state. Moreover, malignant transformation of the breast is associated with dramatic changes in gland tension that include elevated compression Forces, high Tensional resistance stresses and increased extracellular matrix stiffness. Chronically increased mammary gland tension may influence tumor growth, perturb tissue morphogenesis, facilitate tumor invasion, and alter tumor survival and treatment responsiveness. Because mammary tissue differentiation is compromised by high mechanical Force and transformed cells exhibit altered mechanoresponsiveness, malignant transformation of the breast may be functionally linked to perturbed Tensional-homeostasis. Accordingly, it will be important to define the role of Tensional Force in mammary gland development and tumorigenesis. Additionally, it will be critical to identify the key molecular elements regulating Tensional-homeostasis of the mammary gland and thereafter to characterize their associated mechanotransduction pathways.