Abstract: Disclosed are a display module and a television, the display module including: a back plate including a back plate body and a side wall which are integrally formed, the back plate body and the side wall together defining a mounting space, a free end of the side wall being folded so as to form a connecting flange which extends towards the back plate body, a free end of the connecting flange being folded so as to form a joining flange which extends in parallel with the back plate body; a display screen, an edge of an inside surface of the display screen being fixed to an outer surface of the joining flange; an optical film set mounted in the mounting space.

Abstract: A system and method for minimizing indoor infection risk and improving indoor air quality (IAQ) while maximizing energy savings. The system integrates occupancy detection and forecasting, outdoor weather conditions and forecasting, indoor infection risks and air quality modeling, any tunable air filtration, the clean air delivery rate, and any portable air cleaners. The system outputs the total amount of outdoor air intake, the air temperature of the supply air into the space, the supply air flow rate into the space, the operation mode of tunable air filtration/purification/disinfection, the operation mode of the in-room air cleaner, and space/room temperature set-points, and thus can serve as the central controller for an HVAC system.

Abstract: A system and method for minimizing indoor infection risk and improving indoor air quality (IAQ) while maximizing energy savings. The system integrates occupancy detection and forecasting, outdoor weather conditions and forecasting, indoor infection risks and air quality modeling, any tunable air filtration, the clean air delivery rate, and any portable air cleaners. The system outputs the total amount of outdoor air intake, the air temperature of the supply air into the space, the supply air flow rate into the space, the operation mode of tunable air filtration/purification/disinfection, the operation mode of the in-room air cleaner, and space/room temperature set-points, and thus can serve as the central controller for an HVAC system.

Abstract: A photovoltaic system can include multiple photovoltaic power inverters that convert sunlight to power. An amount of power for each of the inverters can be measured over a period of time. These measurements, along with other data, can be collected. The collected measurements can be used to generate artificial neural networks that predict the output of each inverter based on input parameters. Using these neural networks, the total solar power generation forecast for the photovoltaic system can be predicted.

Abstract: Disclosed are various embodiments for optimizing energy management. A quantity of renewable power that will be generated by renewable energy generation sources can be forecasted. The energy demand for a building or a cluster of buildings can be forecasted. A pricing model for buying energy from a grid can be determined. A quantity of energy to import from the grid or export to the grid can be scheduled based on the quantity of renewable energy forecasted and the state of charge or health of battery energy storage system, current and future operations of building HVAC, lighting and plug loads system, the forecasted energy demand for the building, and the pricing of the energy from the grid.

Abstract: An HVAC control system having a cloud-based optimization engine in communication with a local building hub that interfaces with the building HVAC system and room units. The cloud-based optimization engine implements an optimal and predictive control strategy to integrate occupancy prediction, weather forecasting, and modeling of indoor infection risk, indoor air quality, and building energy consumptions. The control strategy includes a model-based predictive control and a model-free reinforcement learning approach. The control strategy considers outdoor weather (both thermal and air quality) conditions, indoor occupancy and requirements for IAQ and infectious risk reduction to decide whether outdoor air should be introduced and how much fresh air will be introduced into the space. Communications with the building hub allow the local HVAC unit to be driven according to the optimization plan. Individual room sensing units can provide local sensor data to the cloud-based optimization engine.

Abstract: Measurements of energy usage including details of power consumption can be stored for power usage devices. The measurements of energy usage can be used to predict future consumption for each of the power usage devices. A power consumption can be modified using the prediction. The energy cost can be optimized based using the prediction, such as, for example, by modifying a power consumption of one of the power usage devices.

Abstract: A system and method for minimizing indoor infection risk and improving indoor air quality (IAQ) while maximizing energy savings. The system integrates occupancy detection and forecasting, outdoor weather conditions and forecasting, indoor infection risks and air quality modeling, any tunable air filtration, the clean air delivery rate, and any portable air cleaners. The system outputs the total amount of outdoor air intake, the air temperature of the supply air into the space, the supply air flow rate into the space, the operation mode of tunable air filtration/purification/disinfection, the operation mode of the in-room air cleaner, and space/room temperature set-points, and thus can serve as the central controller for an HVAC system.

Abstract: A computing device can generate predictions for future consumptions for one or more buildings based on a variety of factors. The factors can include a local climate corresponding to each building, a mass and heat transfer for each building, a daily operation for each building, and an occupancy behavior for each building. A power flow can be determined for one or more power generators. The power flow can be determined based on the predictions of future consumption. A control input vector can be determined for the one or more buildings.

Abstract: Managing service container dependency is provided. A notification that a first service container is running on a host environment is received. It is determined whether the first service container is dependent on a second service container being up and running on the host environment. In response to determining that the first service container is dependent on a second service container being up and running on the host environment, it is determined whether the second service container is running on the host environment. In response to determining that the second service container is not running on the host environment, service requests from the first service container to the second service container are responded to using stub data that corresponds to the second service container.

Abstract: A method for wireless automatic networking includes: pre-selecting N frequencies for frequency-hopping, if a relay node requires frequency hopping, then transmitting a beacon to routing nodes, if the routing nodes do not receive the beacon, then the routing nodes hop frequencies, search, and track until the beacon is received; work frequencies of the relay node, of the routing nodes, and of a terminal node are established in a shared channel; then, insofar as the transmit powers of the nodes are optimized, each routing node is tested for the presence of a frequency conflict with other routing nodes; if found, then frequencies are reassigned to the conflicting routing nodes until none of the frequencies of the routing nodes overlap each other; the relay node sequentially loads the frequencies of the routing nodes, and when frequency loading is completed for all of the routing nodes, a network enters a normal working state.

Abstract: The present invention discloses an apparatus and method capable of automatically identifying an obstacle in front of a mobile terminal, the apparatus comprising a transmitting module, a receiving module, and a controller MCU module. The transmitting module is in signal connection to the receiving module, the transmitting module and the receiving module are both in signal connection to the controller MCU module (STM32 series), and the controller MCU module is also in signal connection to a mobile terminal CPU. The present invention may automatically identify the road condition in front of the mobile terminal and may carry out a voice prompt in time.

Abstract: The present invention discloses an apparatus and method capable of automatically identifying an obstacle in front of a mobile terminal, the apparatus comprising a transmitting module, a receiving module, and a controller MCU module. The transmitting module is in signal connection to the receiving module, the transmitting module and the receiving module are both in signal connection to the controller MCU module (STM32 series), and the controller MCU module is also in signal connection to a mobile terminal CPU.

Abstract: Disclosed are various embodiments for optimizing energy management. A quantity of renewable power that will be generated by renewable energy generation sources can be forecasted. The energy demand for a building or a cluster of buildings can be forecasted. A pricing model for buying energy from a grid can be determined. A quantity of energy to import from the grid or export to the grid can be scheduled based on the quantity of renewable energy forecasted and the state of charge or health of battery energy storage system, current and future operations of building HVAC, lighting and plug loads system, the forecasted energy demand for the building, and the pricing of the energy from the grid.

Abstract: Systems, methods, and computer program products to perform an operation comprising non-blocking runtime debugging of an application executing in a single threaded server environment by obtaining a first request from a head of a request queue, processing the first request based on server application code under debugging, triggering, in response to the first request, a debugging procedure, pausing processing of the first request based on the debugging procedure, tagging the first request with an indication that the first request is in debugging, placing the first request back on the request queue in a position behind the head of the queue, storing debug information related to the first request, and executing at least a second request from the request queue while processing of the first request is paused.

Abstract: Managing service container dependency is provided. A notification that a first service container is running on a host environment is received. It is determined whether the first service container is dependent on a second service container being up and running on the host environment. In response to determining that the first service container is dependent on a second service container being up and running on the host environment, it is determined whether the second service container is running on the host environment. In response to determining that the second service container is not running on the host environment, service requests from the first service container to the second service container are responded to using stub data that corresponds to the second service container.

Abstract: Managing service container dependency is provided. A notification that a first service container is running on a host environment is received. It is determined whether the first service container is dependent on a second service container being up and running on the host environment. In response to determining that the first service container is dependent on a second service container being up and running on the host environment, it is determined whether the second service container is running on the host environment. In response to determining that the second service container is not running on the host environment, service requests from the first service container to the second service container are responded to using stub data that corresponds to the second service container.

Abstract: A method for wireless automatic networking, includes: pre-selecting N frequencies for frequency-hopping, if a relay node requires frequency hopping, then transmitting a beacon to routing nodes, if the routing nodes do not receive the beacon, then the routing nodes hop frequencies, search, and track until the beacon is received; work frequencies of the relay node, of the routing nodes, and of a terminal node are established in a shared channel; then, insofar as the transmit powers of the nodes are optimized, each routing node is tested for the presence of a frequency conflict with other routing nodes; if found, then frequencies are reassigned to the conflicting routing nodes until none of the frequencies of the routing nodes overlap each other; the relay node sequentially loads the frequencies of the routing nodes, and when frequency loading is completed for all of the routing nodes, a network enters a normal working state.

Abstract: A method for testing a composite service is provided. The method may include installing a first debug probe on a first service. The method may include installing a second debug probe on a second service. The method may include executing the composite service, whereby the composite service comprises the first service and the second service. The method may include receiving a first service interaction log and a second service interaction log, whereby the first interaction log records a first plurality of I/O, and whereby the second interaction log records a second plurality of I/O. The method may include generating a global scheduling script based on the first service interaction log and the second interaction log. The method may include sending the first plurality of I/O to the first debug probe and the second plurality of I/O to the second debug probe based on the global scheduling script.

Abstract: A computing device can generate predictions for future consumptions for one or more buildings based on a variety of factors. The factors can include a local climate corresponding to each building, a mass and heat transfer for each building, a daily operation for each building, and an occupancy behavior for each building. A power flow can be determined for one or more power generators. The power flow can be determined based on the predictions of future consumption. A control input vector can be determined for the one or more buildings.