Abstract: A motor controller executes an axis module for each of multiple motors coupled to a shared load. A first control module passes at least one state variable to a second control module without experiencing communication delays between the axis modules. In order to decouple interaction between axes, the first control module determines the desired state variable at a periodic update rate and stores the desired state variable in memory. The first control module provides an indication to the second control module that the desired state variable is available. Within the same period at which the desired state variable is determined, the second control module receives the indication that the desired state variable is available and reads the state variable from the memory of the controller. The second control module executes using the desired state variable to reduce coupling between the two control modules.

Abstract: A change of state of weed seeds to having reduced germination viability in under one minute by illuminating a seed with at least one of 2 J/cm2 cumulative illumination energy, and 0.2 W/cm2 irradiance, but no more than 7 W/cm2 average irradiance, of at least one of an Indigo Region Illumination Distribution (IRID), and infrared radiation that is substantially Medium Wavelength Infrared (MWIR) radiation, preferably 2-8 microns. The MWIR radiation from heated borosilicate glass or glass powder at just under 500 C offered a peak MWIR emission of 3.75 microns was unexpectedly effective, and can be used in a radiant and transmissive weed seed accumulator transport belt. The process can be incorporated into a harvester combine to convert a tailings flow prior to discharge on an agricultural field. An illuminated harvest combine using an illuminator according to the invention allows reduction of the weed seed bank.

Abstract: The invention, in one embodiment, is directed to a system and related methods of data analysis. According to one aspect, the invention processes a plurality of records, each of the records having an associated plurality of attributes, the plurality of records being divisible into at least two categories. More particularly, the invention provides a multidimensional array having intersecting first and second axes; assigns each of the attributes as a one dimensional vector aligned along the first axis, and each of the records as a one dimensional vector aligned along the second axis; displays a graphical indication of an occurrence and/or a value of each attribute for each record at an intersection of each record vector with each attribute vector; and manipulates the record vectors and/or the attribute vectors to produce a graphical pattern representative of the at least two categories.

Abstract: The invention, in one embodiment, is directed to a system and related methods of data analysis. According to one aspect, the invention processes a plurality of records, each of the records having an associated plurality of attributes, the plurality of records being divisible into at least two categories. More particularly, the invention assigns an attribute position to each of the plurality of attributes on a locus defined on a multi-dimensional representation; assigns a record position on the multidimensional representation to each of the plurality of records, the record position being dependent at least in part an occurrence and/or a value, of at least one of the plurality of attributes; and reassigns the attribute position of at least one of the plurality of attributes on the locus to divide the plurality of records into at least two categories.

Abstract: The invention, in one embodiment, processes a plurality of records, each of the records having an associated plurality of attributes, the plurality of records being divisible into at least two categories. More particularly, the invention assigns as a class of one dimensional vectors the records and/or the attributes; employs an maximum number K of uncorrelated vectors to be identified from the class of one-dimensional vectors; employs a threshold value; chooses a first vector from the class of one-dimensional vectors as a member of an uncorrelated vector set; and performs iteratively the steps of selecting an additional vector from the class of vectors, computing a correlation parameter using the first vector and the additional vector, comparing the correlation parameter to the threshold value, and adding the additional vector to the uncorrelated set of vectors if the correlation parameter is not greater than the threshold value.