Abstract: A method for an aerosol delivery device may include storing, during use of the aerosol delivery device and in a memory of the aerosol delivery device, information recording usage characteristics of the aerosol delivery device. The method may further include creating, using a wireless communication interface of the aerosol delivery device, a connectionless-state advertising packet that includes information relating to an identity and advertising state of the aerosol delivery device and a first set of information recording usage characteristics of the aerosol delivery device from the memory; and transmitting the advertising packet via the wireless communication interface.

Abstract: A user of a beacon message distribution service provides a specification for one or more messages to be sent to one or more beacon transmitters to a server. The specification may include at least content for the one or more messages and specification for where the messages are to be sent. The server then determines one or more beacon transmitters to receive the one or more messages based on the specification for where the messages are to be sent. A beacon manager or owner is also identified for the so determined one or more of the beacon transmitters.

Abstract: Aspects for vector operations in neural network are described herein. The aspects may include a controller unit configured to receive an instruction to generate a random vector that includes one or more elements. The instruction may include a predetermined distribution, a count of the elements, and an address of the random vector. The aspects may further include a computation module configured to generate the one or more elements, wherein the one or more elements are subject to the predetermined distribution.

Abstract: Disclosed is a sensor for detecting the proximity of smart devices previously connected to the sensor using the IEEE 802.11 protocols. Importantly, the sensor does not operate using a Bluetooth® connection, which would require the smart devices previously connected to the sensor using the IEEE 802.11 protocols to also have Bluetooth® protocols enabled. Enabling such Bluetooth® protocols uses more battery than having the IEEE 802.11 protocol adapter enabled. The sensor references a list of previously connected smart devices and attempts to connect with any in range, if none can be connected to, the sensor emits an audible alarm signal. Further, no application is required for the sensor to operate.

Abstract: A method and an apparatus for Bluetooth connection are disclosed. A first Bluetooth connection can be established between a first node of multiple data receiving nodes and a data source, the multiple data receiving nodes can share a data packet transmitted by the data source via the first Bluetooth connection, and a second node can be selected according to a preset rule from among the multiple data receiving nodes to feed back a response signal to the data source. In a method and an apparatus, the multiple data receiving nodes can be regarded as a whole, which share a data packet transmitted from the data source and jointly maintain the first Bluetooth connection, and only one of the multiple data receiving nodes is selected to feed back a response signal. Conforming to Bluetooth communication protocols, a method and an apparatus can meet the demanding requirements on hardware resources of a Bluetooth connection among a data source and multiple data receiving nodes.

Abstract: A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process, the process including: obtaining an estimation value of a third variable by subtracting a second output value of a second parametric model to which a second variable is input from a first output value of a first parametric model to which a first variable is input; performing first parameter update of updating first parameters of the first parametric model and second parameters of the second parametric model such that independence between the second variable and the estimation value of the third variable is maximized; and updating the first parameters and third parameters of a third parametric model in the first parameter update, such that a third output value of the third parametric model is approximated to the first variable, the third parametric model being input with the first output value.

Abstract: An example method includes receiving, by a first application executing on a primary device and from a second application executing on the primary device, an indication of data to be transferred, wherein the primary device and the vehicle head unit are communicatively coupled via a wireless network connection operating in accordance with a wireless networking protocol; determining, by the first application and based on the indication of the data, an amount of data to be transferred; determining, by the first application, whether the amount of data satisfies a maximum packet size for the wireless networking protocol; responsive to determining that the amount of data does not satisfy the maximum packet size: segmenting the data into a plurality of packets, wherein each packet from the plurality of packets includes an amount of data that satisfies the maximum packet size; and sending the plurality of packets using the wireless network connection.

Abstract: The invention belongs to the field of low-power consumption Bluetooth technology in wireless communication, in particular to a method for improving the sensitivity of the receiver in a low-power consumption Bluetooth system. The method of the invention is to introduce a deinterleaver between the symbol pattern mapper and GFSK modulator of the transmitting terminal under the low-power consumption Bluetooth coding mode, which is used to perform additional processing on the bitstream data and then perform modulation; then, due to the introduction of interleaving, Turbo iterative processing of demodulation and decoding can be performed at the receiving terminal; the receiving terminal comprises a Turbo iterative demodulator and decoder, which is used to model the low-power consumption Bluetooth GFSK modulator and convolutional coder into finite state machines, and then combine the deinterleaver to use the BCJR algorithm for iterative demodulation and decoding.

Abstract: Peripheral lighting system for an emergency vehicle. In an example, the lighting system has a plurality of light heads configured to be located at various positions on the emergency vehicle. A system controller is programmed to individually control each of the light heads via each a plurality of serial communications lines from the controller to the light heads.

Abstract: A method is used in issuing alerts for storage volumes using machine learning. A machine learning system analyzes Input/Output (I/O) data of a storage volume in a data storage system. The machine learning system is trained with sample I/O data patterns associated with the storage volume. Based on the I/O data, the machine learning system identifies atypical behavior associated with I/O data patterns of the I/O data. The method then issues an alert.

Abstract: A system and a method for identifying and tagging individuals present in an image are disclosed. The method comprises detecting a second device present in proximity of a first device, for establishing a connection. The connection may be established while the first device enters in a camera mode. Immediately after the first device captured an image, the first device may receive identity information of individuals from the second device. The identity information of individuals may comprise at least one of images and personal details of the individuals. Based on the received identity information, the first device may identify the individuals present in the image. The identified individuals present in the image may be tagged using their corresponding identities. Such tagging information may be stored in metadata of the image for a later usage.

Abstract: A method for determining the digital fingerprint of vehicles in transit for automatic charge of tolls, fees and/or other possible treatments, comprises the steps of: providing at least one portal along a road with at least one pair of cameras respectively facing upstream and downstream of the portal and with at least one antenna configured to interrogate vehicle on-board devices to receive an identification code therefrom; processing images and signals from the cameras and the antenna to assign each vehicle a series of data which together define a digital fingerprint of each vehicle, in particular by tracking each vehicle shot by the cameras along a track and obtaining from the images acquired along the track data which are used by a classification algorithm for classifying the vehicles.

Abstract: An acoustic apparatus according to each of the embodiments includes a reception unit, an operation unit, and a control unit. The reception unit is configured to receive a packet to which voice data and a signal for azimuth estimate are added. The operation unit is configured to operate a signal angle of the packet by using the signal for azimuth estimate. The control unit is configured to control information related to a sound image of the voice data according to the signal angle.

Abstract: A generative attribute optimization (“GAO”) system facilitates understanding of effects of changes of attribute values of an object on a characteristic of the object and automatically identifying attribute values to achieve a desired result for the characteristic. The GAO system trains a generator (encoder and decoder) using an attribute generative adversarial network. The GAO model includes the trained generator and a separately trained predictor model. The GAO model inputs an input image and modified attribute values and employs the encoder and the decoder to generate a modified image that is the input image modified based on the modified attribute values. The GAO model then employs the predictor model to that inputs the modified image and generate a prediction of a characteristic of the modified image. The GAO system may employ an optimizer to modify the attribute values until an objective based on the desired result is achieved.

Abstract: Provided herein are systems and methods for applying adaptive classes thresholds to enhance object detection Machine Learning (ML) models by receiving a plurality of labeled feature vectors extracted from a plurality of images associated with a plurality of objects, one or more subsets of the plurality of feature vectors are associated with respective object(s) and labeled accordingly, computing an adaptive threshold for each object in a plurality of iterations, each iteration comprising: (1) computing deviation of a respective feature vector of the subset from an aggregated feature vector, (2) computing, in case the deviation is within a predefined value, a threshold enclosing the respective feature vector, and (3) adjusting the adaptive threshold to enclose the threshold of the respective feature vector and outputting the adaptive threshold(s) for classifying unlabeled feature vectors to class(s) of respective object(s) associated with the adaptive threshold(s) in which the unlabeled feature vectors fall.

Abstract: Methods and systems are described for maintaining hygienic conditions in automatic teller machines by detecting whether or not a user is not in compliance with a hygienic standard. If a user is not in compliance, then the automatic teller machine may execute a hygienic action to cleanse the automatic teller machine. For example, the hygienic action may comprise automatically cleansing the automatic teller machine, disabling the automatic teller machine from service, transmitting a sanitation service request to an automatic teller machine provide, and/or initiating an alternative control scheme (e.g., voice controls, gesture-based controls, etc.) for the automatic teller machine.

Abstract: Some aspects of this disclosure include apparatuses and methods for implementing a synchronized short range communication protocol scan mechanism across multiple devices. Some aspects relate to an electronic device including a transceiver configured to communicate based on a short range communication protocol and a processor communicatively coupled to the transceiver. The processor receives one or more parameters from a peripheral electronic device and determines, based at least on the one or more parameters, one or more synchronization parameters. The processor further transmits the one or more synchronization parameters to the peripheral electronic device. The one or more synchronization parameters can include at least a scan offset associated with the peripheral electronic device.

Abstract: Time-stamped images are captured for unknown items within a store. Portions of the images are cropped to restrict the cropped images to attributes associated with the unknown items. A set of time ordered cropped images are proved to a trained machine-learning item recognition algorithm, which produces an output of confidence values that map to specific items of the store. When the confidence value meets or exceeds a predefined threshold, the specific item associated with that confidence value is used to identify the unknown item. The known item is assigned to an appropriate shopping cart of a shopper based on tracking from the images of the shopper while in the store.

Abstract: Systems and methods for monitoring operation of a sump pump are provided. A method includes connecting a power adapter to the sump pump and a float-switch. The power adapter includes a printed circuit board (PCB) positioned within a housing, a power supply in electrical communication with components coupled to the PCB, and an integrated chip coupled to the PCB. The integrated chip is configured to establish a wireless connection to a first wireless network, and transmit a message to a remote server over the first wireless network. The method further includes causing an internet enabled device to send one or more instructions that causes the power adapter to connect to the first wireless network, and receiving, using the internet enabled device, a message from the remote server.

Abstract: Systems, methods, and apparatuses for performing an opening or closing security procedure at a provider location using an unmanned aerial vehicle (UAV) are described herein. An autonomous security system includes a UAV, a user device, and a UAV security system. The UAV security system includes a processing circuit structured to guide the UAV along a predetermined route within or near the provider location. The processing circuit is further structured to receive monitoring data associated with the provider location and its surroundings from the UAV, the monitoring data comprising ultra-wideband (UWB) data and radio-frequency identification (RFID) data. The processing circuit is further configured to identify a foreign object based on the monitoring data, determine that the foreign object is one of a security threat or a defect, and provide a notification to the user device regarding the one of the security threat or the defect.