Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Juha Hirvonen"'
Autor:
Juha Hirvonen, Pasi Kallio
Publikováno v:
IET Computer Vision, Vol 9, Iss 4, Pp 588-594 (2015)
An automatic computer vision algorithm that detects individual paper fibres from an image, assesses the possibility of grasping the detected fibres with microgrippers and detects the suitable grasping points is presented. The goal of the algorithm is
Externí odkaz:
https://doaj.org/article/7fe39e1919874063a11b166eab7bac79
Autor:
Mikko Yliharsila, Juha Hirvonen
Publikováno v:
CAD'21 Proceedings.
Publikováno v:
Linköping Electronic Conference Proceedings.
Publikováno v:
Journal of Microscopy. 263:20-33
Automated handling of a natural fibrous object requires a method for acquiring the three-dimensional geometry of the object, because its dimensions cannot be known beforehand. This paper presents a method for calculating the three-dimensional reconst
Autor:
Pasi Kallio, Juha Hirvonen
Publikováno v:
IET Computer Vision. 9:588-594
An automatic computer vision algorithm that detects individual paper fibres from an image, assesses the possibility of grasping the detected fibres with microgrippers and detects the suitable grasping points is presented. The goal of the algorithm is
Autor:
Timo Salpavaara, Jukka Lekkala, Seyed Kourosh Latifi, Satu Rajala, Antti Vehkaoja, Juha Hirvonen, Pasi Kallio, Pooya Saketi
Publikováno v:
Sensors and Actuators A: Physical. 222:194-203
The Z-directional strength of paper fiber bonds is an important parameter for the paper and board industry. The current methods of studying Z-directional paper fiber bond strength rely on handsheet measurements. This paper presents a novel tool for m
Publikováno v:
Journal of Micro-Bio Robotics. 9:29-45
Automated micro- and nanohandling systems are highly dependent on the robustness and quality of their control software. However, aspects related to software are rarely discussed in this context. This paper describes how mature robotic software framew
Autor:
Pasi Kallio, Christian Ganser, Pooya Saketi, Pedro Fardim, Joakim Järnström, Christian Teichert, Yuli Lai, Juha Hirvonen
Publikováno v:
ResearcherID
Measuring contact angles on single fibers enables the separation of structural factors from surface chemistry factors. Current Drop-on-Fiber (DOF) contact angle measurement methods for natural fibers generally, and for pulp/paper fibers specifically,
Publikováno v:
2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO).
This paper presents an automated computer vision algorithm for estimating contact angles that a droplet of probe liquid forms on hydrophobic fibers. A specially designed microrobotic platform is utilized in manipulating the microscopic fibers, shooti
Publikováno v:
IFAC Proceedings Volumes. 41:13749-13754
This paper describes electrical equivalent circuit models of cell–capillary admittance during injection of a living cell and presents a measurement system to estimate corresponding frequency responses during microinjection tests. Since the admittan