Abstract: Disclosed herein is a data-driven approach for determining and presenting a more intelligent measure of the probability of failure of a substation. The disclosed approach generally involves (i) deriving respective failure probabilities of the individual assets within the substation by taking into consideration certain operating, environmental, maintenance or other types of data related to the individual assets, (ii) determining the electrical configuration of the substation, (iii) determining a substation failure probability based on the respective failure probabilities of the individual assets within the substation and the electrical configuration of the substation, and then (iv) presenting the probability of substation failure and/or the respective failure probabilities for the individual assets to a user in various ways.

Abstract: A test device determines time error in a fronthaul network of a radio access network. A first Global Navigation Satellite System (GNSS) receiver receives GNSS signals from a GNSS satellite through a reference GNSS signal distribution system (GSDS) having a known signal propagation delay. The first GNSS receiver calculates and outputs a corresponding reference One Pulse Per Second (1PPS) signal. A second GNSS receiver receives the GNSS signals through a device under test including a GSDS having an unknown signal propagation delay. The second GNSS receiver calculates and outputs a corresponding DUT 1PPS signal. The test device determines the unknown signal propagation delay of the DUT by comparing the reference 1PPS signal to the DUT 1PPS signal.

Abstract: A test device determines time error in a fronthaul network of a radio access network. A first Global Navigation Satellite System (GNSS) receiver receives GNSS signals from a GNSS satellite through a reference GNSS signal distribution system (GSDS) having a known signal propagation delay. The first GNSS receiver calculates and outputs a corresponding reference One Pulse Per Second (1PPS) signal. A second GNSS receiver receives the GNSS signals through a device under test including a GSDS having an unknown signal propagation delay. The second GNSS receiver calculates and outputs a corresponding DUT 1PPS signal. The test device determines the unknown signal propagation delay of the DUT by comparing the reference 1PPS signal to the DUT 1PPS signal.

Abstract: A test device tests conditions associated with a fronthaul in an Open Radio Access Network (O-RAN). The test device can field test an O-RAN radio unit (O-RU) installed at a cell site by emulating an O-RAN distributed unit (O-DU) in the O-RAN connected to the O-RU via the fronthaul of the O-RAN. The testing includes testing connectivity of the O-RU to the fronthaul. The testing includes executing managing plane (M-plane) and synchronization plane (S-plane) messaging to test management session establishment, device setting testing, and master clock synchronization testing. Additionally, optical insertion loss in the fronthaul and frequency and power of signals transmitted from the O-RU can be tested.

Abstract: A test device determines error in a fronthaul network of a radio access network. A first Global Navigation Satellite System (GNSS) receiver receives GNSS signals from a GNSS satellite through a reference GNSS signal distribution system (GSDS) having a known signal propagation delay. The first GNSS receiver calculates and outputs a corresponding reference One Pulse Per Second (1 PPS) signal. A second GNSS receiver receives the GNSS signals through a device under test including a GSDS having an unknown signal propagation delay. The second GNSS receiver calculates and outputs a corresponding DUT 1 PPS signal. The test device determines the unknown signal propagation delay of the DUT by comparing the reference 1 PPS signal to the DUT 1 PPS signal.

Abstract: A test device determines error in a fronthaul network of a radio access network. A first Global Navigation Satellite System (GNSS) receiver receives GNSS signals from a GNSS satellite through a reference GNSS signal distribution system (GSDS) having a known signal propagation delay. The first GNSS receiver calculates and outputs a corresponding reference One Pulse Per Second (1 PPS) signal. A second GNSS receiver receives the GNSS signals through a device under test including a GSDS having an unknown signal propagation delay. The second GNSS receiver calculates and outputs a corresponding DUT 1 PPS signal. The test device determines the unknown signal propagation delay of the DUT by comparing the reference 1 PPS signal to the DUT 1 PPS signal.

Abstract: Disclosed herein is a data-driven approach for determining and presenting a more intelligent measure of the probability of failure of a substation. The disclosed approach generally involves (i) deriving respective failure probabilities of the individual assets within the substation by taking into consideration certain operating, environmental, maintenance or other types of data related to the individual assets, (ii) determining the electrical configuration of the substation, (iii) determining a substation failure probability based on the respective failure probabilities of the individual assets within the substation and the electrical configuration of the substation, and then (iv) presenting the probability of substation failure and/or the respective failure probabilities for the individual assets to a user in various ways.

Abstract: Personalized health information is provided by maintaining a patient profile over time and matching information from the patient profile to appropriate patient-centric information related to that patient's specific medical condition. The patient profile can include a variety of medical information. The patient profile is matched, for example, to patient-centric options for care, clinical trials for which the patient is eligible, drug treatment regimens directly related to each patient's specific condition, scheduling of the treatments, survivorship plans and data, information about managing symptoms, nutritional information, rehabilitation recommendations, possible adverse events based on specific treatments to monitor, and personalized education and information. The patient profile can be populated with information from a database, such as one associated with a cancer registry.

Abstract: Yield loss in semiconductor processing is mitigated by forming a resist over an active side of a semiconductor workpiece or wafer, as well as around the edge of the wafer. The resist mitigates the creation of contaminants, such as nitride flakes, for example, that can develop when an oxide, nitride, oxide (ONO) layer is removed from the back or in-active side of the wafer. In the absence of the resist, such flakes may migrate to the front or active side of the wafer and cause defects to form therein, which can result in yield loss.

Abstract: Yield loss in semiconductor processing is mitigated by forming a resist over an active side of a semiconductor workpiece or wafer, as well as around the edge of the wafer. The resist mitigates the creation of contaminants, such as nitride flakes, for example, that can develop when an oxide, nitride, oxide (ONO) layer is removed from the back or in-active side of the wafer. In the absence of the resist, such flakes may migrate to the front or active side of the wafer and cause defects to form therein, which can result in yield loss.