A very small aperture terminal (VSAT) installation tool is provided having the ability to measure cable loss along an interfacility link (IFL) between an outdoor unit and an indoor unit of the VSAT. Radio frequency (RF) signals can be transmitted from the indoor unit to the outdoor unit, where the RF signals are intercepted along the IFL prior to reaching the outdoor unit, and the output power is determined. The determined output power is compared to an expected output power at the indoor unit. The delta between the determined output power and the expected output power can be used to adjust the power of the indoor unit such that the outdoor unit can operate without reaching its compression point. The determined output power can be extrapolated based upon measured of the output power performed over a range of frequencies at which the indoor unit operates.

A method is provided that can include designating as a control node, a first communication node of a plurality of communication nodes associated with a satellite communications system. The method can include, designating as a listening node, a second communication node of the plurality of communication nodes. The listening node is responsive to instructions provided by the control node. The method includes receiving, at a tuning module, one or more input tuning factors, wherein the one or more input tuning factors can include at least a resource burden factor. Responsive to receiving the one or more input tuning factors, the method includes adjusting by the tuning module, one or more tunable output parameters. The method includes sending, from the control node to the listening node, instructions comprising one or more of the tunable output parameters, and executing the instructions at the listening node.

Modular broadband terminals that allow for the connection of a plurality of different modems are provided. The modular broadband terminals include a main connector board having common interfaces. The modems have specific interfaces that may be different from the common interfaces and from others of the modems. Each modem can connect with a converter adapter board that is configured to couple the modem with the common interface.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

Methods, systems, and devices for satellite operations are described. A system for satellite communications may include a payload, a power system, and a thermal management component. The payload may be configured to provide a service with varying levels of capacity based on a demand profile. The payload may consume electrical energy at a peak rate when a level of demand indicated by the demand profile is above a threshold and at a lower, off-peak rate when a level of demand indicated by the demand profile is below a threshold. The peak rate may exceed a rate at which electrical energy is generated by the power system. The thermal management component may process excess thermal energy generated by the payload when the payload operates at the peak rate. Processing the excess thermal energy may include storing thermal energy while the payload operates at the peak rate.

A system comprising an accelerator including a first physical port couplable to a first module and a second physical port configured to communicate with a wide-area network. The accelerator is programmed to receive outbound data from user devices via the first module, and route the outbound data to either the first physical port or the second physical port. The first module is a separate unit from the accelerator. The first module includes an indoor unit configured for satellite internet.

The mill for spice products, in particular such as cinnamon sticks, houses a reservoir for storing the spice product. The reservoir communicates through a passage, with a grinding mechanism. The reservoir includes a mechanism for fragmenting the spice product. The mechanism for fragmenting are defined by a crusher of the spice product.

A method includes obtaining traffic demand data indicating user traffic demand through a communication system including a multistage interconnection network. The method also includes generating first path data based on the traffic demand data. The first path data represents a configuration of components of the multistage interconnection network to provide traffic paths through the multistage interconnection network. The method includes selectively generating second path data based on a determination that a potential failure of the multistage interconnection network cannot be isolated, based on the traffic paths, to a single component. The second path data represents a modified configuration of the components to provide the traffic paths and test paths through the multistage interconnection network to facilitate isolation of the failure of the multistage interconnection network to the single component. The method also includes sending configuration data based on the second path data to initiate configuration of the multistage interconnection network.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

A satellite communication terminal for a field environment includes: a broadband interface that creates a broadband link with a device in the field environment and that manages communication over the broadband link; a satellite antenna that creates a satellite backhaul link with a satellite in orbit; a satellite interface that manages communication over the satellite backhaul link; and a processor that controls a beam direction of the satellite antenna, performs broadband services on data exchanged with the device over the broadband link and the satellite backhaul link, and provides access to the exchanged data to the device.