Abstract: Example embodiments disclosed herein relate to selectively removing or resetting a restriction from a restricted power sourcing network port. A presence of a computing device coupled to one of a plurality of power sourcing network ports off a network device is determined. A power allocation to the power sourcing network port is determined. The computing device is authenticated to determine whether the computing device has permission to receive power from the network device. The power allocation is restricted. The restriction is selectively reset or removed.

Abstract: Systems and methods for image data fusion include providing first and second sets of image data corresponding to an imaged first and second scene respectively. The scenes at least partially overlap in an overlap region, defining a first collection of overlap image data as part of the first set of image data, and a second collection of overlap image data as part of the second set of image data. The second collection of overlap image data is represented as a plurality of image data subsets such that each of the subsets is based on at least one characteristic of the second collection, and each subset spans the overlap region. A fused set of image data is produced by an image processor, by modifying the first collection of overlap image data based on at least a selected one of, but less than all of, the image data subsets.

Abstract: Example embodiments disclosed herein relate to selectively removing or resetting a restriction from a restricted power sourcing network port. A presence of a computing device coupled to one of a plurality of power sourcing network ports off a network device is determined. A power allocation to the power sourcing network port is determined. The computing device is authenticated to determine whether the computing device has permission to receive power from the network device. The power allocation is restricted. The restriction is selectively reset or removed.

Abstract: Systems and methods for image data fusion include providing first and second sets of image data corresponding to an imaged first and second scene respectively. The scenes at least partially overlap in an overlap region, defining a first collection of overlap image data as part of the first set of image data, and a second collection of overlap image data as part of the second set of image data. The second collection of overlap image data is represented as a plurality of image data subsets such that each of the subsets is based on at least one characteristic of the second collection, and each subset spans the overlap region. A fused set of image data is produced by an image processor, by modifying the first collection of overlap image data based on at least a selected one of, but less than all of, the image data subsets.

Abstract: The present invention is directed to a wrap device and to methods of using a wrap device for facilitating manipulation of a stack of slides or other stackable objects in order to remove the stack from a packaging container and place within a hopper or other dispensing container. When using the device and methods of the present invention, no undue force is exerted on any particular slide within the stack, thus minimizing the risks of breakage, while stabilizing the stack such that “fanning” and slippage within the stack is substantially prevented. Further, the invention may be used to facilitate manipulation of a stack of slides without direct contact between the slides and a user's hands.

Abstract: A flexible method for characterizing polymer components and the use of the same in general purpose polymer process simulation software has been developed. In this method and software apparatus, polymer molecules are defined in terms of their segments or structural units. In addition, a set of component attributes is associated with each polymer component. The component attributes are used to track information on polymer molecular structure, chemical composition and product properties, such as molecular weight averages, average copolymer composition, particle size distribution, etc. This methodology is used in a consistent manner by all key elements of simulation software, such as thermo-physical property calculations and polymerization kinetics.