Abstract: Computational systems and methods employ characteristics of a quantum processor determined or sampled between a start and an end of an annealing evolution per an annealing schedule. The annealing evolution can be reinitialized, reversed or continued after determination. The annealing evolution can be interrupted. The annealing evolution can be ramped immediately prior to or as part of determining the characteristics. The annealing evolution can be paused or not paused immediately prior to ramping. A second representation of a problem can be generated based at least in part on the determined characteristics from an annealing evolution performed on a first representation of the problem. The determined characteristics can be autonomously compared to an expected behavior, and alerts optionally provided and/or the annealing evolution optionally terminated based on the comparison. Iterations of annealing evolutions may be performed until an exit condition occurs.

Abstract: Fibrous structures containing filaments and solid additives, and more particularly to fibrous structures containing filaments and solid additives wherein the fibrous structure has three or more regions that exhibit different characteristics and/or properties and methods for making same, are provided.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Disclosed are devices and methods, among which is a device peripheral to a controller device that is used to provide memory access to the controller device. In some embodiments, the device may determine and provide a response of the device to requests from the separate device.

Abstract: Disclosed are devices and methods, among which is a device peripheral to a controller device that is used to provide memory access to the controller device. In some embodiments, the device may determine and provide a response of the device to requests from the separate device.

Abstract: Disclosed are devices and methods, among which is a pattern-recognition processor coupled to a microcontroller. The pattern-recognition processor may act as a peripheral device to the microcontroller and provide supplemental pattern recognition functionality to the existing functionality of the microcontroller.

Abstract: Disclosed are devices and methods, among which is a device peripheral to a controller device that is used to provide memory access to the controller device. In some embodiments, the device may determine and provide a response of the device to requests from the separate device.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Disclosed are devices and methods, among which is a device peripheral to a controller device that is used to provide memory access to the controller device. In some embodiments, the device may determine and provide a response of the device to requests from the separate device.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Disclosed are methods and devices, among which is a device including a self-selecting bus decoder. In some embodiments, the device may be coupled to a microcontroller, and the self-selecting bus decoder may determine a response of the peripheral device to requests from the microcontroller.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.

Abstract: Vibration amplitudes are recorded as a function of rotation speed and of frequency and the data is analyzed to estimate a noise floor amplitude threshold for each of a plurality of different speed and frequency sub-ranges. On the basis of training data known to be normal speed-frequency areas which contain significant spectral content in normal operation are deemed “known significant spectral content”, so that during monitoring of new data points which correspond to significant vibration energy at speeds and frequencies different from the known significant spectral content can be deemed “novel significant spectral content” and form the basis for an alert. The estimation of the noise floor is based on a probabilistic analysis of the data in each speed-frequency area and from this analysis an extreme value distribution expressing the probability that any given sample is noise is obtained.

Abstract: A printer which is configured to automatically transmit data, such as critical and non-critical printer data, and route that data through at least one of a plurality of communication channels and services, such as via e-mail or mobile wireless equipment (e.g. an Internet-ready pager, a Personal Communications Service (PCS) phone or a wireless Personal Digital Assistant (PDA)). Preferably, the printer is configured such that it can be programmed and controlled from a remote location. Preferably, the printer is configured such that new label formats can be added from a remote location, and label formats stored in the printer can be viewed and modified from a remote location. Preferably, the printer is also configured such that barcode rendering algorithms can be downloaded to the printer from a remote location, and such that printer settings can be viewed and modified from a remote location, and thereafter can be downloaded to the printer and/or to other printers in a network to facilitate cloning.

Abstract: Disclosed are methods and devices, among which is a device including a self-selecting bus decoder. In some embodiments, the device may be coupled to a microcontroller, and the self-selecting bus decoder may determine a response of the peripheral device to requests from the microcontroller. In another embodiment, the device may include a bus translator and a self-selecting bus decoder. The bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses. A microcontroller may be coupled to a selected one of the plurality of different types of buses of the bus translator.

Abstract: Vibration amplitudes are recorded as a function of rotation speed and of frequency and the data is analyzed to estimate a noise floor amplitude threshold for each of a plurality of different speed and frequency sub-ranges. On the basis of training data known to be normal speed-frequency areas which contain significant spectral content in normal operation are deemed “known significant spectral content”, so that during monitoring of new data points which correspond to significant vibration energy at speeds and frequencies different from the known significant spectral content can be deemed “novel significant spectral content” and form the basis for an alert. The estimation of the noise floor is based on a probabilistic analysis of the data in each speed-frequency area and from this analysis an extreme value distribution expressing the probability that any given sample is noise is obtained.

Abstract: Disclosed are methods and devices, among which is a device including a bus translator. In some embodiments, the device also includes a core module and a core bus coupled to the core module. The bus translator may be coupled to the core module via the core bus, and the bus translator may be configured to translate between signals from a selected one of a plurality of different types of buses and signals on the core bus.