1. A process for the production of a silicon solar cell comprising the steps:
(i) applying an aluminum paste on the back-side of a silicon wafer having a p-type region, an n-type region and a p-n junction, and being provided with a silicon nitride antireflective coating on its front-side and contaminated with silicon nitride on its back-side, and
(ii) firing the surface provided with the aluminum paste, whereby the wafer reaches a peak temperature of 700 to 900\xb0 C.,
wherein the aluminum paste comprises particulate aluminum, magnesium oxide, wherein the magnesium oxide is present in a total proportion corresponding to a total magnesium contribution of 0.1 to 5 wt. %, based on total aluminum paste composition, and an organic vehicle comprising organic solvent(s).
2. The process of claim 1, wherein the aluminum paste comprises one or more glass frits in a total proportion of 0.01 to 5 wt. %, based on total aluminum paste composition.
3. The process of claim 1, wherein the particulate aluminum is present in a proportion of 50 to 80 wt. %, based on total aluminum paste composition.
4. The process of claim 1, wherein the organic vehicle further comprises organic polymer(s) andor organic additive(s).
5. The process of claim 1, wherein the application of the aluminum paste is performed by printing.
6. The process of claim 1, wherein firing is performed as cofiring together with other front-side andor back-side metal pastes that have been applied to the silicon wafer to form front-side andor back-side electrodes thereon during firing.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
What is claimed:
1. A computer system for identifying an object comprising;
a first range imaging scanner for digitally scanning a plurality of known objects to produce range images of known objects;
a digital storage device for storing said plurality of range images of known objects;
a second range imaging scanner for digitally scanning a plurality of unknown objects to produce a plurality of unknown digital images;
a computer for comparing the known digital images from the first range imaging scanner with the unknown digital images of the second range imaging scanner utilizing tripod operators to obtain the identity of the unknown digital images; and
a device for receiving the identity of the unknown digital images.
2. The system of claim 1, wherein the device for receiving the identity of the unknown digital images is a computer display device.
3. A method for identifying an object comprising;
digitally scanning a plurality of known images by applying tripod operators to the images at random points to obtain six numbers of pose of the tripod operators with respect to the image range data coordinate system to obtain the known images feature vector;
storing the digital scanned image;
digitally scanning a plurality of unknown digital images to obtain the unknown images feature vector;
randomly applying tripod operator to the at random points to obtain six numbers of pose of the tripod operators with respect to the image range data coordinate system;
comparing the six pose numbers of the unknown images to the stored digital data of the known images to identify the unknown image; and
displaying the identity of the unknown digital images.
4. A computer system for computing an estimated pose of an object from a range image containing the object, comprising:
a computer for receiving scanned digital representation of known objects and applying a tripod operator at a random place on the digital representation of a surface shape whose pose is later desired to estimate in some range image;
a computer memory for storing the feature vector and the relative pose of the tripod operator and the surface shape;
said computer for further executing a pillbox algorithm for converting stored data into a compact piecewise analytic description, if the density of feature vector is greater than some predetermined threshold.
5. The computer system of claim 4, wherein the execution of the pillbox algorithm further includes computing the eigenvalues of a scatter matrix to construct a 3 d manifold in feature space.