Abstract: A method of communicating with a portable access device includes iteratively performing an algorithm via an access module of a vehicle. The algorithm includes a series of operations including: selecting a frequency from multiple frequencies; selecting an antenna pair from multiple possible antenna pairs, where antennas of the possible antenna pairs include antennas with different polarized axes; transmitting a packet to the portable access device via the selected antenna pair; receiving a first RSSI and a response signal from the portable access device, the first RSSI corresponds to the transmission of the packet; and measuring a second RSSI of the response signal; based on the first RSSIs and the second RSSIs. A best one of the frequencies and a best antenna pair of the possible antenna pairs are selected. One or more additional packets are transmitted using the selected best frequency and the selected best antenna pair.

Abstract: A multi-axis polarized RF antenna assembly includes a circular polarized antenna, a circular isolator, and a linear polarized antenna. The circular polarized antenna includes a conductive ring-shaped body having an inner hole. The circular isolator is connected to the conductive ring-shaped body. The linear polarized antenna is connected to the circular polarized antenna and the circular isolator and extending outward from the circular isolator. The linear polarized antenna includes a sleeve and a conductive element extending through the sleeve. The linear polarize antenna extends orthogonal to a radius of the circular polarized antenna.

Abstract: A base station of a vehicle includes an angle of arrival (AoA) antenna assembly and a controller. The AoA antenna assembly is positioned at a known location of the vehicle. The AoA antenna assembly includes a pair of antennas on a printed circuit board to detect an angle of arrival of a wireless signal as received by the AoA antenna assembly from a portable remote control. The wireless signal may be a Bluetooth™, a Bluetooth™ low energy (BLE), a Wi-Fi™, or an ultra-wideband (UWB) wireless signal. The remote control may be in the form of a phone or a key fob. The controller uses the detected angle and the known location of the AoA antenna assembly to locate the portable remote control relative to the vehicle. The controller may perform a passive entry passive start (PEPS) operation of the vehicle as a function of the location of the remote control.

Abstract: Methods for modeling heating, ventilation, and air conditioning (HVAC) are described. A heuristic model of air handling in a HVAC system is optimized by a server based on measurements from outdoor sensors, from building space sensors, plant sensors, and sensors for the air handling. Settings of the air handling in the HVAC system are determined by the server from the model as optimized and transmitted to the HVAC system. The heuristic model may be optimized by indicating a mismatch of a fan with a space based on a diversity from a fan flow set point and a fan designed maximum flow; identifying a rogue zone or a critical zone of air handling units based on a number of actuator re-positioning, box pressures, and box flow; and/or determining a coupling of a coupled zone operation with temperature, flow, or temperature and flow.

Abstract: An antenna for a receiver, a transmitter, and/or a transceiver of a base station of a wireless remote-control system is provided. The antenna includes a printed circuit board (PCB) and a metallic stamped antenna structure. The antenna structure is directly mounted on the PCB. The antenna structure includes a lineal antenna body and legs. The antenna body and the legs are unitary with one another. The legs extend from the antenna body and are mechanically mounted to the PCB to support the antenna body over the PCB with the antenna body lying above the PCB within a plane.

Abstract: A method and system of optimally adjusting the environment of a predetermined location based upon the movement of a mobile communication device using location-based services.

Abstract: A fob for a passive entry passive start (PEPS) system includes a LF receiver, an UHF transmitter, an UWB transceiver, a primary battery to power the receiver and the transmitter, a rechargeable secondary battery to power the transceiver, and a controller. The controller may cause the primary battery to recharge the secondary battery when the secondary battery has a low charge. The controller may cause the transmitter to transmit an indication to a base station of the PEPS system that the primary battery has a low charge. This indication is to alert a user to replace the primary battery. The controller may cause the transmitter to transmit an indication that the secondary battery is dead when the secondary battery is detected to be dead. This indication is to alert the base station that PEPS communications of the fob will not involve the transceiver.

Abstract: A fob for a passive entry passive start (PEPS) system includes a LF receiver, an UHF transmitter, an UWB transceiver, a primary battery to power the receiver and the transmitter, a rechargeable secondary battery to power the transceiver, and a controller. The controller may cause the primary battery to recharge the secondary battery when the secondary battery has a low charge. The controller may cause the transmitter to transmit an indication to a base station of the PEPS system that the primary battery has a low charge. This indication is to alert a user to replace the primary battery. The controller may cause the transmitter to transmit an indication that the secondary battery is dead when the secondary battery is detected to be dead. This indication is to alert the base station that PEPS communications of the fob will not involve the transceiver.

Abstract: Using information available from the controller or controllers of air-handling units, a remote server uses a heuristic model to determine settings for the air-handling units. Rather than just using rules for each air-handling unit, a model-based solution determines the settings. The model is used to optimize operation of the air distribution. In additional or alternative embodiments, measurements are gathered and used to derive analytics. The measurements may include data not otherwise used for rule-based control of the air handling unit. The analytics are used to predict needs, as inputs to the modeling, identify problems, and/or identify opportunities.

Abstract: A fob for a passive entry passive start (PEPS) system includes a LF receiver, an UHF transmitter, an UWB transceiver, a primary battery to power the receiver and the transmitter, a rechargeable secondary battery to power the transceiver, and a controller. The controller may cause the primary battery to recharge the secondary battery when the secondary battery has a low charge. The controller may cause the transmitter to transmit an indication to a base station of the PEPS system that the primary battery has a low charge. This indication is to alert a user to replace the primary battery. The controller may cause the transmitter to transmit an indication that the secondary battery is dead when the secondary battery is detected to be dead. This indication is to alert the base station that PEPS communications of the fob will not involve the transceiver.

Abstract: A fob for a passive entry passive start (PEPS) system includes a LF receiver, an UHF transmitter, an UWB transceiver, a primary battery to power the receiver and the transmitter, a rechargeable secondary battery to power the transceiver, and a controller. The controller may cause the primary battery to recharge the secondary battery when the secondary battery has a low charge. The controller may cause the transmitter to transmit an indication to a base station of the PEPS system that the primary battery has a low charge. This indication is to alert a user to replace the primary battery. The controller may cause the transmitter to transmit an indication that the secondary battery is dead when the secondary battery is detected to be dead. This indication is to alert the base station that PEPS communications of the fob will not involve the transceiver.

Abstract: The present disclosure relates generally to infusion catheters, and more particularly relates to a multi-catheter infusion system including a delivery sheath having a proximal end, a distal end, and a central axis. The delivery sheath includes a guidewire lumen extending therethrough that is aligned with the central axis within a head portion of the delivery sheath. First and second infusion lumens extend through the delivery sheath along respective paths from the proximal end to respective openings in the head portion. At the respective openings, the paths of the lumens are disposed at an acute angle to the central axis of the delivery sheath. First and second infusion catheters are disposed in the respective lumens and are movable relative to the delivery sheath so as to extend through the respective openings and transition from retracted positions to extended positions relative to the distal end of the delivery sheath.

Abstract: A fob for a passive entry passive start (PEPS) system includes a LF receiver, an UHF transmitter, an UWB transceiver, a primary battery to power the receiver and the transmitter, a rechargeable secondary battery to power the transceiver, and a controller. The controller may cause the primary battery to recharge the secondary battery when the secondary battery has a low charge. The controller may cause the transmitter to transmit an indication to a base station of the PEPS system that the primary battery has a low charge. This indication is to alert a user to replace the primary battery. The controller may cause the transmitter to transmit an indication that the secondary battery is dead when the secondary battery is detected to be dead. This indication is to alert the base station that PEPS communications of the fob will not involve the transceiver.

Abstract: Data from many buildings is used to machine train a cascade of classifiers. The cascade learns to classify in layers that relate to each other. One classifier identifies one characteristic and the other classifier uses the identified characteristic to identify another characteristic. For example, a cascade learns to classify buildings, efficiency, or cost associated with particular building automation systems (e.g., building A has increased heating cost), to classify the fault leading to the cost (e.g., hot water supply temperature causes increased cost), and to classify the source of the fault (e.g., valve position or valve) in a cascade. The resulting machine-learnt cascade is applied to data for any number of buildings.

Abstract: Degraded or other performance may be predicted with a machine-learnt classifier. Based on operation of many building automation systems, machine learning is applied. The machine learning creates a predictor. The machine-learnt predictor is applied to the operation data of any building automation system to predict future failure or other event, providing prognostics that may be used to plan maintenance and/or schedule remedial action. Machine learning uses big data in the form of data from many building automation systems to learn to automatically predict and/or perform prognostics for other building automations systems.

Abstract: Using data from various sources, clustering or other unsupervised learning determines a relationship of the data to performance. Meta data or business data different than building automation data is used to diagnose building automation. Relationships of building automation to the meta or business data are determined with clustering or other case-based reasoning. For multiple building situations, clustering with or without the meta data identifies poor performing buildings, equipment, automation control, or enterprise function.

Abstract: A method includes a step of obtaining in a processing circuit a sequence of elements between a first device and a supply air temperature sensor of an air handling unit. The processing circuit also obtains an estimate for time constants associated with each element of the sequence. The processing circuit adds the time constants to obtain a process time constant estimate. The method further includes controlling a device based at least in part on the process time constant estimate.

Abstract: Using information available from the controller or controllers of air-handling units, a remote server uses a heuristic model to determine settings for the air-handling units. Rather than just using rules for each air-handling unit, a model-based solution determines the settings. The model is used to optimize operation of the air distribution. In additional or alternative embodiments, measurements are gathered and used to derive analytics. The measurements may include data not otherwise used for rule-based control of the air handling unit. The analytics are used to predict needs, as inputs to the modeling, identify problems, and/or identify opportunities.

Abstract: Systems, computer program products, apparatus, and methods are described that perform operations including receiving a search query that includes a name, receiving multiple resources that have been identified by a search engine as best satisfying the search query, wherein the identified multiple resources include a resource including a plurality of images. The operations include identifying an image of the plurality of images displaying a face of the person. The image is identified based on a description associated with the image. The description is based at least in part on one or more resources included in the search results. The operations further include providing the identified image with the search results. The search results are provided as a plurality of links. Each link identifies a corresponding resource of the identified plurality of resources.

Abstract: A method and system of optimally adjusting the environment of a predetermined location based upon the movement of a mobile communication device using location-based services.