Abstract: The present invention relates to an energy management device (40) and a method of operating the same. The energy management device (40) comprising a buffer controller (41) and an energy buffer unit (45) wherein the buffer controller is configured to connect the energy buffer unit (45) to operate a load device upon detecting that the load device is in an accepting operational state and the voltage provided by a power supply device is between the first and second threshold, during a power negotiation period between the power supply device (10) and the load device (20).

Abstract: An information processing apparatus capable of recovering the apparatus from a state in which software operation is abnormal to a state in which the same is normal. The information processing apparatus is provided with a CPU for receiving an instruction for turning off power of the information processing apparatus. Upon receipt of the instruction, the CPU determines whether or not it is necessary to turn off the power of the information processing apparatus. When it is necessary to turn off the power of the information processing apparatus, the CPU controls the information processing apparatus such that the power thereof is turned off, whereas when it is unnecessary to turn off the power of the information processing apparatus, the CPU controls the information processing apparatus such that the power thereof is not turned off.

Abstract: Disclosed is a method of communication between a plurality of liquid cooling modules of a cooling system for one or more one computer servers, in which: the cooling modules communicate with each other in a manner that operates in N+1 redundancy where N is greater than or equal to 2, so as to enable a standard replacement of any one of these cooling modules without stopping the cooling and without stopping the operation of the server or servers, this communication being ensured by a collaborative protocol without master/slave, before switching from an active mode where it is cooling to a backup mode where it is no longer cooling, the redundant cooling module verifying beforehand that a data set is consistent across all these cooling modules and that this consistency is maintained for a predetermined duration.

Abstract: A method for making a rapid prototype of a patient's mouth to be used in the design and fabrication of a dental prosthesis. The method takes an impression of a mouth including a first installation site having a dental implant installed in the first installation site and a gingival healing abutment having at least one informational marker attached to the dental implant. A stone model is prepared based on the impression, including teeth models and model markers indicative of the at least one informational marker. The model is scanned. Scan data is generated from the scanning. The scan data is transferred to a CAD program. A three-dimensional model of the installation site is created in the CAD program. The at least one informational marker is determined to gather information for manufacturing the rapid prototype. Rapid prototype dimensional information is developed.

Abstract: This disclosure describes computer-implemented techniques that enable users to control and coordinate a set of network-enabled home automation devices. Users may generate, customize, and share home automation device dashboards. These dashboards may include user interface elements, such as tiles, that users may use to determine that status of home automation devices and send commands to the home automation devices. In some examples, users may use timeline-based user interfaces to schedule actions to be performed by home automation devices.

Abstract: Provided is a power system status estimation device capable of increasing the likelihood that status estimation calculations converge. Thus, a power system status estimation device 1 is equipped with: a measured value selection unit 102 for selecting a prescribed combination of measured values using which it is predicted that the power system status estimation calculations will converge, from among the measured values from each sensor provided in the power system; and a status estimation calculation unit 101 for estimating the status of the power system on the basis of the prescribed combination of measured values selected by the measured value selection unit and the system model for the power system.

Abstract: A temperature control device comprises a fan, a temperature sensor, a modeling circuit and a PID controller, with the PID controller connected with the fan, the temperature sensor and the modeling circuit. The fan drives airflows for controlling the temperature of a controlled region. The temperature sensor is disposed in the controlled region and obtains a detected temperature indicating the temperature of the controlled region. The modeling circuit obtains at least one cooling parameter group based on a transfer function. The PID controller controls the fan based on an initial parameter group when the detected temperature is lower than a first temperature, and controls the fan based on said at least one cooling parameter group when the detected temperature is equal to or higher than the first temperature. The initial parameter group comprises initial parameters, with the value of each of the initial parameters equal to a preset value.

Abstract: A system operation decision-making assistance device includes: a state mode clustering unit that calculates, on the basis of measurement data DB1 of a power system and a clustering parameter DB3, which state mode, from among prescribed state modes, applies to a power system; a state mode collation unit that collates state transition data DB4 indicating transitions between state modes and the calculated state mode to calculate state transition probability data, which is the probability of transitioning from the calculated state mode to each state mode defined in the state transition data; and an accident shift pattern calculation unit that calculates important accident cases on the basis of a system model DB2, an importance parameter DB5 including the importance of a power system accident, the measurement data, and the calculated state transition probability data.

Abstract: One example includes a power-over-Ethernet (PoE) control system. The system includes a powered device (PD) that is configured to receive a voltage signal via an Ethernet connection and which comprises a PoE signal receiver configured to indicate a nominal power level via the received voltage signal. The system also includes a power sourcing equipment (PSE) device configured to generate the voltage signal and to measure a class current of the voltage signal to determine the nominal power level. The PSE device includes a PoE controller configured to provide a power setting command as a function of the nominal power level to the PoE signal receiver via the voltage signal, such that the PD can operate at a power level that is based on the power setting command.

Abstract: According to an example, a three-dimensional (3D) printer may include a first delivery device to selectively deposit first liquid droplets onto a layer of build materials, in which the first liquid has a fusing radiation absorption property. The 3D printer may also include a fusing radiation generator to selectively emit fusing radiation at multiple ranges of wavelengths and at selected locations to selectively fuse the build materials and a controller to tune a range of wavelengths at which the fusing radiation generator is to emit fusing radiation based upon the fusing radiation absorbing property of the deposited first liquid, to determine the selected locations at which the fusing radiation at the tuned range of wavelengths is to be emitted, and to control the fusing radiation generator to selectively emit fusing radiation at the tuned range of wavelengths and onto the selected locations.

Abstract: A method to identify physical parameters of a mechanical load includes the following steps: applying a first control signal to a mechanical device in a control circuit; measuring a first return signal; and using a power density spectrum of the first return signal to stipulate an excitation signal for the mechanical device.

Abstract: According to an example, a printer may include a warming device to apply energy onto a region of a plurality of regions of a layer of build materials. The printer may also include a controller that may calculate, based upon the region upon which the warming device is to apply energy, an energy curve to be applied to the warming device between occurrences of a plurality of events, in which the energy curve defines timings and levels at which the warming device is to be operated between occurrences of the plurality of events. The controller may also control the warming device to be operated to apply energy onto the region according to the calculated energy curve.

Abstract: A diagnostic method for analysing the operation of at least part of a production line in the tobacco industry includes feeding through the line a probe having the shape of a smokers' article and provided with an electronic card configured to acquire one or more parameters; the method includes a step of activating the probe with the possibility of temporally synchronizing the data acquired by the probe with the data acquired by the line at the same time.

Abstract: A control apparatus of a machine tool, the control apparatus including: a numerical control unit configured to create a spindle axis command and a feed axis command according to a tapping program; a spindle axis control unit configured to control rotational operation of the spindle axis according to the spindle axis command; a rotation detector configured to detect a rotation position of the spindle axis; and a feed axis control unit configured to control feeding operation of the feed axis according to the feed axis command on the basis of the rotation position. The numerical control unit is further configured to include, in the spindle axis command, a speed command value during return that does not depend on maximum rotation speed during machining of the spindle axis and that is higher than the maximum rotation speed during machining, as a command of return operation.

Abstract: The present invention is directed to a method for booting a system-on-chip (SoC) including the steps of directly executing a boot software from an on-chip magnetic random access memory (MRAM) residing on a same semiconductor as the SoC; directly executing an operating system software from an external MRAM by the SoC without loading the operating system into a volatile memory; and directly executing an application software from the external MRAM by the SoC, wherein the external MRAM is coupled to the SoC and is configured for storing the operating system software and the application software.

Abstract: A processing unit includes a plurality of subsystem control modules. Each subsystem control module includes a set of one or more inputs that receives a set of one or more external signals and a set of one or more monitored outputs from a hardware subsystem corresponding to the subsystem control module, and a set of configuration outputs for controlling one or more configuration settings of the hardware subsystem. The subsystem control module determines the one or more configuration settings based on the set of monitored outputs and on one or more targets derived from the set of external signals.

Abstract: A method includes dividing a plurality of filters in a first layer of a neural network into a first set of filters and a second set of filters, applying each of the first set of filters to an input of the neural network, aggregating, at a second layer of the neural network, a respective one of a first set of outputs with a respective one of a second set of outputs, splitting respective weights of specific neurons activated in each remaining layer, at each specific neuron from each remaining layer, applying a respective filter associated with each specific neuron and a first corresponding weight, obtaining a second set of neuron outputs, for each specific neuron, aggregating one of the first set of neuron outputs with one of a second set of neuron outputs and generating an output of the neural network based on the aggregated neuron outputs.

Abstract: Example methods disclosed herein include accessing a query requesting a metric associated with a number of unique members of an audience of media over an aggregate monitoring interval corresponding to a plurality of component monitoring intervals. Disclosed example methods also include determining respective aggregate interval probability distributions modeling likelihoods of respective monitored individuals being exposed to the media during the aggregate monitoring interval, a first one of the aggregate interval probability distributions for a first one of the monitored individuals being determined by combining parameters of respective component interval probability distributions modeling likelihoods of the first one of the monitored individuals being exposed to the media during respective ones of the component monitoring intervals.

Abstract: An approach is provided for semantic-free traffic prediction. The approach involves dividing a travel-speed data stream into a plurality of travel-speed patterns. The travel-speed data stream represents vehicle travel speeds occurring in a road network. The approach also involves representing each of the plurality of travel-speed patterns by a respective token. The respective token is selected from a dictionary of tokens representing a plurality of travel-speed templates determined from historical travel-speed data. The approach further involves matching a sequence of the respective tokens corresponding to said each of the plurality of travel-speed patterns to a best-fit sequence of tokens determined from the historical travel-speed data. The approach further involves determining a predicted sequence of tokens based on the best-fit sequence of tokens, and generating a traffic prediction for the road network based on the predicted sequence of tokens.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a deep neural network. One of the methods includes generating a plurality of feature vectors that each model a different portion of an audio waveform, generating a first posterior probability vector for a first feature vector using a first neural network, determining whether one of the scores in the first posterior probability vector satisfies a first threshold value, generating a second posterior probability vector for each subsequent feature vector using a second neural network, wherein the second neural network is trained to identify the same key words and key phrases and includes more inner layer nodes than the first neural network, and determining whether one of the scores in the second posterior probability vector satisfies a second threshold value.