A method is provided for controlling a laundry treating apparatus. The method may include controlling the drum to accelerate the drum to rotate at a first speed, applying a brake to stop the drum, accelerating the drum to a second speed, sensing a current being applied to the motor while the drum is accelerated to the second speed, and determining a laundry amount based on the sensed current.

A control device for a stepper motor drives in a 1-2-phase excitation method in response to an input of a drive signal. The control device includes a control signal generating unit and a drive signal generating unit. The control signal generating unit generates a pulsed control signal. The drive signal generating unit generates the drive signal for rotating by a predetermined step angle every time the control signal is input. The predetermined step angle is a half of a step angle of a 2-phase excitation method. The control signal generating unit configures a higher pulse rate of a first to an n-th (n is an integer equal to or more than 2 and equal to or less than 3) control signals in an activation period of the stepper motor than a pulse rate of the control signals following the n-th control signal.

A method for evaluating and/or visualizing a process state of a production system, which contains at least one cyclically operating shaping machine, includes: continuously or at discrete times, determining the value of a plurality of selected process variables, and comparing the current value of each selected process variable and or a variable derived therefrom with one or more reference values by means a computing unit, and determining a deviation or a rate of change. Each selected process variable is assigned to at least one logical group by the computing unit; at least two different logical groups are provided; and for each logical group, a state of the logical group is evaluated by the computing unit based on the process variables assigned to the logical group and/or is visualized by a display device.

A method for evaluating and/or visualizing a process state of a production system, which contains at least one cyclically operating shaping machine, includes: continuously or at discrete times, determining the value of a plurality of selected process variables, and comparing the current value of each selected process variable and or a variable derived therefrom with one or more reference values by means a computing unit, and determining a deviation or a rate of change. Each selected process variable is assigned to at least one logical group by the computing unit; at least two different logical groups are provided; and for each logical group, a state of the logical group is evaluated by the computing unit based on the process variables assigned to the logical group and/or is visualized by a display device.

A method for providing an estimate for a defined building control system comprises displaying on a user interface a plurality of areas in which the defined building control system would be installed. Pluralities of subsystems are associated with the plurality of areas and include at least one typical subsystem that is associated with a defined plurality of building automation components in a database. The method further comprises displaying on the user interface the typical subsystem in association with the plurality of areas. A number of instances of the typical subsystem that are associated with the plurality of areas are also displayed on the user interface. A cost estimate is generated for the defined building control system based at least in part on the number of instances of the typical subsystem.

Systems and methods for applying and using context labels for data clusters are provided herein. A method described herein for managing a context model associated with a mobile device includes obtaining first data points associated with a first data stream assigned to one or more first data sources; assigning ones of the first data points to respective clusters of a set of clusters such that each cluster is respectively assigned ones of the first data points that exhibit a threshold amount of similarity and are associated with times within a threshold amount of time of each other; compiling statistical features and inferences corresponding to the first data stream or one or more other data streams assigned to respective other data sources; assigning context labels to each of the set of clusters based on the statistical features and inferences.

Systems and methods for applying and using context labels for data clusters are provided herein. A method described herein for managing a context model associated with a mobile device includes obtaining first data points associated with a first data stream assigned to one or more first data sources; assigning ones of the first data points to respective clusters of a set of clusters such that each cluster is respectively assigned ones of the first data points that exhibit a threshold amount of similarity and are associated with times within a threshold amount of time of each other; compiling statistical features and inferences corresponding to the first data stream or one or more other data streams assigned to respective other data sources; assigning context labels to each of the set of clusters based on the statistical features and inferences.

The air-conditioning control system includes an air-conditioning controller and a server. The air-conditioning controller is connected to an air-conditioning unit and controls the air-conditioning unit. The server is connected to the air-conditioning controller by a communication network. The air-conditioning controller includes a display unit and a control unit. The display unit displays an image that includes setting information required to connect an operating terminal and the air-conditioning controller via the server. The control unit causes the operating terminal to acquire the image displayed in the display unit by capturing the image using a camera provided in the operating terminal and to connect to the air-conditioning controller via the server, based on the setting information included in the acquired image.

A computer system trains a predictive model. A plurality of subsets of features are selected from a dataset comprising a plurality of cases and controls and a plurality of features. Cases and controls are matched to select a plurality of case-control subsets for each subset of features, each case-control subset having similar values for the corresponding subset of features. For each case-control subset, a statistical significance of each feature of the plurality of features absent from the subset of features used to match the case-control subset is identified. A final subset of features is selected based on satisfying a statistical significance of each feature for the plurality of case-control subsets. A predictive model is trained using the final subset of features. Embodiments of the present invention further include a method and program product for training a predictive model in substantially the same manner described above.

An air-conditioning system includes an air-conditioning apparatus, a user information input terminal, and a central management apparatus. The user information input terminal detects entrance of a user into a room and transmits an entrance-interlocking signal including user identification information for identifying the user to the central management apparatus. Upon receipt of the entrance-interlocking signal, the central management apparatus determines a control objective of the air-conditioning apparatus according to priority of user attribute of one or more users in the room and an energy saving level currently set, and cause the air-conditioning apparatus to perform an interlocking control in accordance with the determined control objective.