Abstract: The present disclosure generally relates to a method for testing a telecommunication standard-based positioning, navigation, and timing system and a test device. The system includes the test device. Radio signals from at least three different transmitters are received by the test device. Each transmitter transmits a radio signal according to the telecommunication standard. An assessed position of the test device is determined based on the radio signals received by the test device. The position of the mobile device is determined by the test device additionally to the assessed position. The assessed position is compared with the determined position.

Abstract: A method of training an artificial intelligence circuit is provided. The method includes the steps of providing a training data set, the training data set encompassing training data of a frequency spectrum including a guard band and/or training data concerning a radio frequency power in the guard band, and feeding the training data set into the artificial intelligence circuit to be trained, which processes the training data set in order to learn a standard frequency spectrum and/or a standard radio frequency power in the guard band, thereby enabling the artificial intelligence circuit, when trained, to determine a deviation from the standard frequency spectrum and/or to determine a deviation from the standard radio frequency power in the guard band. In addition, a monitoring method for identifying an anomaly in a radio frequency spectrum as well as a system for monitoring a radio frequency environment are described.

Abstract: The invention relates to system (10) for radio frequency, RF, anomaly or interference detection in an environment (20). The system (10) comprises an unmanned vehicle (11) which is configured to move through the environment (20), and at least one RF receiver (12) which is mounted to the unmanned vehicle (11) and which is configured to record RF spectral data at different locations in the environment (20). The system (10) further comprises at least one RF machine learning unit, RFMLU (13), wherein the RFMLU (13) is configured to analyze the RF spectral data in order to detect RF anomalies or interferences. In case of detecting an RF anomaly or interference with the RFMLU (13), the RF receiver (12) is configured to record a baseband signal of an RF environment at the location of the detected RF anomaly or interference.

Abstract: A vehicle black box for implementation in a vehicle is described. The vehicle black box includes a sensor interface for receiving sensor data of a sensor module sensing at least one physical vehicle parameter. Further, the vehicle black box includes a wireless module for receiving a radio frequency signal, wherein the wireless module generates IQ data based on the radio frequency signal received. The vehicle black box also includes a recording module with a first memory for temporarily storing the IQ data generated and a second memory for permanently storing the IQ data generated. Moreover, the vehicle black box has a processing unit configured to receive and evaluate the sensor data, wherein the processing unit is further configured to control a transfer of the IQ data from the first memory to the second memory based upon the evaluation result. A vehicle and a method of gathering data associated with at least one physical vehicle parameter are also described.

Abstract: A test system for testing a device under test that includes several communication lanes is described. The test system is a communication lane test system that includes a measurement instrument and a connecting interface for connecting the device under test, wherein the connecting interface is configured to connect at least two of the several communication lanes with the measurement instrument. The measurement instrument includes s a processor being configured to conduct an automatic conformance test on the at least two communication lanes concurrently. Moreover, a method for testing a device under test that includes s several communication lanes is described.

Abstract: A test system for testing a device under test that comprises several communication lanes is described. The test system is a communication lane test system that comprises a measurement instrument and a connecting interface for connecting the device under test, wherein the connecting interface is configured to connect at least two of the several communication lanes with the measurement instrument. The measurement instrument comprises a processor being configured to conduct an automatic conformance test on the at least two communication lanes concurrently. Moreover, a method for testing a device under test that comprises several communication lanes is described.

Abstract: A computing device for providing Advertisement Decision Management services to a subscriber network that connects display devices. The computing device acquires a network program media stream associated with a network service from a provider network, delivers the network program media stream to a display device connected to the subscriber network, and collects usage data for the display device. When the computing device detects an advertising opportunity in the network program media stream, it selects an advertisement to fulfill the advertising opportunity, delivers the advertisement to the display device at the start time of the advertising opportunity, and delivers the network program media stream to the display device at the end time of the advertising opportunity. To select the advertisement, the computing device either requests the advertising opportunity from an advertisement server, or retrieves the advertisement from local data storage.

Abstract: A method and apparatus for managing targeted advertisements for linear television is provided herein. During operation a client device will determine whether or not an advertisement opportunity duration is known, unknown, or variable. Based on this determination, advertisements that best match the advertisement opportunity duration will be chosen via separate algorithms. More particularly, a first algorithm will be used to choose advertisements when the advertisement opportunity duration is known, a second algorithm will be used to choose advertisements when the advertisement opportunity duration is unknown, and a third algorithm will be used to choose advertisements when the advertisement opportunity duration is variable.

Abstract: A method and apparatus for managing targeted advertisements for linear television is provided herein. During operation a list of N channels are maintained. Advertisements for the N channels are downloaded and stored locally. The list of N channels will be dynamically updated with advertisements being added to, and removed from local storage.

Abstract: A method and apparatus for managing targeted advertisements for linear television is provided herein. During operation a client device will determine whether or not an advertisement opportunity duration is known, unknown, or variable. Based on this determination, advertisements that best match the advertisement opportunity duration will be chosen via separate algorithms. More particularly, a first algorithm will be used to choose advertisements when the advertisement opportunity duration is known, a second algorithm will be used to choose advertisements when the advertisement opportunity duration is unknown, and a third algorithm will be used to choose advertisements when the advertisement opportunity duration is variable.