The present invention relates to systems and methods for improved building systems management and maintenance. The present invention provides a system for providing an augmented reality-like interface for the management and maintenance of building systems, specifically the mechanical, electrical, and plumbing (MEP) systems within a building, including the heating, ventilation, and air-conditioning (HVAC) systems.

A safety system according to one or more embodiments including a safety controller that executes a safety program. The safety system includes: a collection unit configured to collect an input value over a predetermined period, the input value being a value of an input signal selected previously in one or a plurality of input signals input to the safety controller; and a visualization unit configured to reproduce a behavior of the safety program over the predetermined period based on the input value collected over the predetermined period, and to express visually an operating state of the safety program at an appointed point of time in the predetermined period.

A method of determining multimodal polyethylene quality comprising the steps of (a) providing a multimodal polyethylene resin sample; (b) determining, in any sequence, the following: that the multimodal polyethylene resin sample has a melt index within 30% of a target melt index; that the multimodal polyethylene resin sample has a density within 2.5% of a target density; that the multimodal polyethylene resin sample has a dynamic viscosity deviation (% MVD) from a target dynamic viscosity of less than about 100%; that the multimodal polyethylene resin sample has a weight average molecular weight (M.sub.w) deviation (% M.sub.wD) from a target M.sub.w of less than about 20%; and that the multimodal polyethylene resin sample has a gel permeation chromatography (GPC) curve profile deviation (% GPCD) from a target GPC curve profile of less than about 15%; and (c) responsive to step (b), designating the multimodal polyethylene resin sample as a high quality resin.

An integrated device in an HVAC system is configured to modify an environmental condition of a building. The integrated device includes a valve configured to regulate a flow of a fluid through a conduit and an actuator. The actuator includes a motor and a drive device. The drive device is driven by the motor and coupled to the valve for driving the valve between multiple positions. The integrated device further includes a processing circuit coupled to the motor. The processing circuit is configured to detect device identifying information for the valve or the actuator and to detect the integrated device location within the building.

Provided is a home appliance of determining an operation command corresponding to an occupant through learning based on setting information of the home appliance according to the occupant to provide an operation satisfying all occupants. An air conditioner according to an embodiment of the disclosure includes: an outdoor unit; and an indoor unit including a heat exchanger, wherein the indoor unit includes: a communicator configured to communicate with an access point (AP); and a controller configured to receive information about a terminal connected to the access point through the communicator, and change at least one of operation temperature or an operation mode when a new terminal is connected to the access point or a terminal connected to the access point is disconnected from the access point.

Improved systems and methods for operating moveable architectural elements (e.g., furniture) are described. The system can include improved features implemented throughout various elements, including hardware elements, controller elements, and/or software elements. As one example, the system can feature the ability to map a characteristic load profile across a particular length of actuation and, if during operation a measured load exceeds the profile, adjust (e.g., stop) the system's motion. The system can also advantageously map its current draw to increase energy efficiency. In addition, the system can include a positioning system that enables it to automatically determine its position upon start up and during operation. In some implementations, the system includes multiple moveable elements (e.g., furniture items). In some cases, power is distributed to the moveable element(s) using a moveable power distribution module. Many other improvements and features are contemplated and described.

A servomotor (20) is driven to move a machine (10) with a ball screw (30). A first sensor (50) detects presence of the machine (10) at a first reference position (P) being predefined. A controller (60) stores a state of the servomotor (20) detected by an encoder (40) as reference state information upon detection of the machine (10) by the first sensor (50). The controller (60) estimates a position of the machine (10) based on the state of the servomotor (20) detected by the encoder (40) and the reference state information.

An imaging device includes a plurality of electronic components, a phase change material, and a heat transfer structure. The plurality of electronic components is configured to collect data and have a predetermined temperature parameter. The plurality of electronic components is disposed within the phase change material. The phase change material has a first material phase and a second material phase. The phase change material has a first material phase and a second material phase. The phase change material is configured to absorb heat through changing from the first material phase to the second material phase. The heat transfer structure is disposed within the phase change material. The heat transfer structure is configured to conduct heat within the phase change material. The phase change material and the heat transfer structure are further configured to regulate a temperature of the electronic components below the predetermined temperature parameter.

An imaging device includes a plurality of electronic components, a phase change material, and a heat transfer structure. The plurality of electronic components is configured to collect data and have a predetermined temperature parameter. The plurality of electronic components is disposed within the phase change material. The phase change material has a first material phase and a second material phase. The phase change material has a first material phase and a second material phase. The phase change material is configured to absorb heat through changing from the first material phase to the second material phase. The heat transfer structure is disposed within the phase change material. The heat transfer structure is configured to conduct heat within the phase change material. The phase change material and the heat transfer structure are further configured to regulate a temperature of the electronic components below the predetermined temperature parameter.

A machine learning device includes a sparse modeling processing unit and a selection unit. The sparse modeling processing unit acquires individual importance degrees for each of explanatory variable candidates, the individual importance degrees being acquired by using respective sparse modeling methods different from each other, each of the sparse modeling methods taking input data including a specified objective variable in a learning model used for industrial activity and the explanatory variable candidates that are candidates for an explanatory variable for explaining the specified objective variable. The selection unit calculates a comprehensive importance degree for each of the explanatory variable candidates based on the individual importance degrees of each of the explanatory variable candidates, and selects an explanatory variable of the learning model from among the explanatory variable candidates based on the comprehensive importance degree.