Abstract: An electrically conductive yarn (1) includes a plurality of individual filaments (2) and an electrically conductive portion (3) that covers surface of the individual filaments (2). The electrically conductive portion (3) contains a carbon-based material, in particular carbon nanotubes, a binder, and a metal. The electrically conductive portion (3) has a network structure in which the carbon nanotubes are connected to one another and is constituted such that the metal is interspersed within the network structure. The electrically conductive portion (3) may further contain Al2O3.

Abstract: Electro-conductive fibers comprise synthetic fibers and an electro-conductive layer containing carbon nanotubes and covering a surface of the synthetic fibers, and the coverage of the electro-conductive layer relative to the whole surface of the synthetic fibers is not less than 60% (particularly not less than 90%). The electric resistance value of the electro-conductive fibers ranges from 1×10?2 to 1×1010 ?/cm, and the standard deviation of the logarithm of the electric resistance value is less than 1.0. The thickness of the electro-conductive layer ranges from 0.1 to 5 ?m, and the ratio of the carbon nanotubes may be 0.1 to 50 parts by mass relative to 100 parts by mass of the synthetic fibers. The electro-conductive layer may further contain a binder. The electro-conductive fibers may be produced by immersing the synthetic fibers in a dispersion with vibrating the synthetic fibers to form the electro-conductive layer adhered to the surface of the synthetic fibers.

Abstract: An electro-conductive multifilament yarn for an electro-conductive brush that includes an electro-conductive fiber containing a synthetic fiber and a carbon nanotube covering a surface of the fiber. The synthetic fiber may have a single-filament fineness of not more than 30 dtex. The synthetic fiber may have 3 to 6 elongated recesses or grooves extending in a longitudinal direction thereof and have a multi-leaves or cross-section.

Abstract: An electro-conductive multifilament yarn for forming an electro-conductive brush comprises an electro-conductive fiber containing a synthetic fiber and a carbon nanotube covering a surface of the fiber. The synthetic fiber may have a single-filament fineness of not more than 30 dtex. The synthetic fiber may have 3 to 6 elongated recesses or grooves extending in a longitudinal direction thereof and have a multi-leaves or star-shaped cross-section. The electro-conductive multifilament yarn of the present invention has a high electro-conductivity and may have an electric resistance value of 1×106 to 1×1011 ?/cm at 20° C. Further, the electro-conductivity has a high uniformity; the standard deviation of a logarithm of the electric resistance value may be not more than 1.0.

Abstract: Electro-conductive fibers comprise synthetic fibers and an electro-conductive layer containing carbon nanotubes and covering a surface of the synthetic fibers, and the coverage of the electro-conductive layer relative to the whole surface of the synthetic fibers is not less than 60% (particularly not less than 90%). The electric resistance value of the electro-conductive fibers ranges from 1×10?2 to 1×1010 ?/cm, and the standard deviation of the logarithm of the electric resistance value is less than 1.0. The thickness of the electro-conductive layer ranges from 0.1 to 5 ?m, and the ratio of the carbon nanotubes may be 0.1 to 50 parts by mass relative to 100 parts by mass of the synthetic fibers. The electro-conductive layer may further contain a binder. The electro-conductive fibers may be produced by immersing the synthetic fibers in a dispersion with vibrating the synthetic fibers to form the electro-conductive layer adhered to the surface of the synthetic fibers.

Abstract: A printed circuit board is provided on its surface with position detecting patterns at specific positions with respect to conductor patterns for connecting the leads of an integrated circuit. The position of the lead connecting conductor patterns is obtained an indirect manner through a calculation based on the positional information of the position detecting patterns.