Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.

Abstract: Methods and systems to commission building environmental sensors are disclosed. The system include a device that will move about the environment of a building (inside and/or outside) and detect building environmental sensor devices that are installed in the environment. For each of the sensor devices, in response to detecting the sensor device, the system will retrieve an identifier for the sensor device, and it will determine whether the sensor device is registered with a control system. If the sensor device is registered with the control system, the system will not automatically implement a commissioning process with the sensor device. If the sensor device is not registered with the control system, the system will automatically implement the commissioning process with the sensor device.

Abstract: Methods and systems to commission building environmental sensors are disclosed. The system includes a device that will move about the environment of a building (inside and/or outside) and detect building environmental sensor devices that are installed in the environment. For each of the sensor devices, in response to detecting the sensor device, the system will retrieve an identifier for the sensor device, and it will determine whether the sensor device is registered with a control system. If the sensor device is registered with the control system, the system will not automatically implement a commissioning process with the sensor device. If the sensor device is not registered with the control system, the system will automatically implement the commissioning process with the sensor device.

Abstract: A printing system for producing at least one three dimensional (3D) printed part is described. The printing system includes a deposition system configured to continuously deposit a layer onto a cylinder to outwardly extend a diameter of the cylinder, wherein the layer comprises a first pattern. The printing system also includes a rotating system configured to rotate the cylinder, and a control system configured to synchronize the deposition system with the cylinder.

Abstract: A method of providing high-speed three dimensional (3D) printing is described. The method includes producing at least one three dimensional (3D) printed part. Producing the 3D part includes continuously constructing to extend outwardly a diameter of a rotating cylindrical core via continuous deposition of a layer, and defining a first pattern in the continuously deposited layer corresponding to a cross-section of the at least one 3D printed part.

Abstract: A transform memory controller is described herein wherein the transform memory controller comprises logic elements configured to perform desired transform operations on data that flows to-and-from conventional computer memory elements. The transform operations are configured to perform operations on such data without the need for such data to travel to-and-from the conventional computer memory element via the processor (e.g., Central Processing Unit (CPU)) of the computer system. Several desirable transform operations are herein disclosed.

Abstract: A print feedstock has a base material and a marker material, the base material and the marker material having different physical properties. A system to validate objects includes at least one printer to print feedstock onto an object, the feedstock comprising a base material and a marker material, the base material and a marker material having different properties, a device to create a unique identifier for the object based upon a pattern of the feedstock, and a store in which the unique identifier can be stored.

Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.

Abstract: A heating, ventilation, and air conditioning (HVAC) control system is provided. The system includes one or more sources of controlled air, a network of portable sensors that are configured to measure one or more parameters of an environment, one or more environmental condition controllers that are configured to operate the one or more sources of controlled air, and a computing device, including a processor and memory. The memory stores programming instructions that are configured to, when executed, cause the processor to generate an initial lumped-element model of the environment, update the initial lumped-element model using the one or more parameters of the environment to generate an adapted lumped-element model of the environment, and cause the one or more environmental condition controllers to adjust an output of the one or more sources of controlled air based on the adapted lumped-element model.

Abstract: A method of forming a colorimetric sensor includes depositing a first material onto a substrate, providing porous sensing particles, wherein the sensing particles comprise sensing species dispersed into a porous host structure, and embedding the porous sensing particles onto a surface of the deposited first material, the first material attaching the sensing particles to the substrate with at least a portion of the sensing particles is exposed to an ambient environment.

Abstract: A system and method for determining HVAC set points are provided. A present season is determined. An allowable temperature comfort range for each occupant in a room in a space is also determined. For each room, an energy saving set point temperature is calculated for the space based on the allowable temperature comfort range for that room. A set point temperature for the space is determined based on the energy saving set point temperatures for each of the rooms in the space. The set point temperature is provided to a thermostat or HVAC system to regulate temperature in the building.

Abstract: A system and method of printing on a strand element with a printer head. The printer head includes a conduit and a cavity formed within the conduit, wherein the cavity is configured to receive the strand element and pass the strand element from a first end of the cavity to a second end of the cavity. The printer head also includes a set of nozzles formed on the conduit and positioned on a perimeter of the cavity around a first target location within the cavity, wherein at least one of the nozzles is a fluid nozzle configured to dispense a fluid, and at least one of the nozzles is a vacuum nozzle configured to apply a vacuum force on the cavity.

Abstract: A colorimetric sensor has a first material deposited on a surface, and sensing particles on a surface of the first material, wherein the sensing particles comprise sensing species dispersed into porous host structures, such that at least a portion of the sensing particles is exposed to an ambient environment, wherein the first material attaches the sensing particles to surface. A method of forming a colorimetric sensor including depositing a first material onto a substrate, providing porous sensing particles, wherein the sensing particles comprise sensing species dispersed into a porous host structure, and embedding the porous sensing particles onto a surface of the deposited first material, wherein the first material attaches the sensing particles to the substrate such that at least a portion of the sensing particles is exposed to an ambient environment.

Abstract: Methods and systems to commission building environmental sensors are disclosed. The system include a device that will move about the environment of a building (inside and/or outside) and detect building environmental sensor devices that are installed in the environment. For each of the sensor devices, in response to detecting the sensor device, the system will retrieve an identifier for the sensor device, and it will determine whether the sensor device is registered with a control system. If the sensor device is registered with the control system, the system will not automatically implement a commissioning process with the sensor device. If the sensor device is not registered with the control system, the system will automatically implement the commissioning process with the sensor device.

Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.

Abstract: A method is disclosed. For example, the method includes applying a clear coat layer on a substrate, drying the clear coat layer to form random microstructures in the clear coat layer, dispensing a printing fluid to print a graphical pattern on the clear coat layer, and generating a physical unclonable function (PUF) pattern by drying the printing fluid that fills the random microstructures formed in the clear coat layer.

Abstract: An apparatus has an additive manufacturing system configured to deposit material in layers to form a three-dimensional object on a surface, an energy source positioned adjacent the object positioned such that energy from the source reaches the object, a detector to receive energy reflected from the object, and a controller configured to activate the energy source and receive signals from the detector as each layer is deposited. A method of monitoring an additive manufacturing process includes depositing material in a layer on a surface to form a three-dimensional object, activating an energy source located adjacent the surface, detecting reflections of the energy from the object, analyzing the reflections to determine an integrity of the object, and providing a notification when the integrity of the object does not meet a threshold.

Abstract: A print feedstock has a base material and a marker material, the base material and the marker material having different physical properties. A system to validate objects includes at least one printer to print feedstock onto an object, the feedstock comprising a base material and a marker material, the base material and a marker material having different properties, a device to create a unique identifier for the object based upon a pattern of the feedstock, and a store in which the unique identifier can be stored.

Abstract: A system has a surface, a feedstock deposition head arranged to deposit a sinterable feedstock having a binder on the surface, a patterning system arranged adjacent the surface to change the feedstock surface energy according to a pattern to form selective surface energy patterns on the feedstock, a sintering-selectivity material deposition head arranged adjacent the feedstock deposition head to deposit sintering-selectivity fluid, the sintering-selectivity fluid selected to conform to the selective surface energy patterns, and a sintering chamber to sinter the feedstock after deposition of the anti-sintering agent.

Abstract: A printing system for producing at least one three dimensional (3D) printed part is described. The printing system includes a deposition system configured to continuously deposit a layer onto a cylinder to outwardly extend a diameter of the cylinder, wherein the layer comprises a first pattern. The printing system also includes a rotating system configured to rotate the cylinder, and a control system configured to synchronize the deposition system with the cylinder.