The present invention features the application of a simple, inductively-coupled measurement system into the cap of standard laboratory sample tubes, thus enabling continuous, wireless ionic sensing of a bevy of samples. The system may be powered by a compact Class E amplifier using inductive coupling via a designed resonance frequency of 1 MHz. Other frequencies can be used, such as the popular near-field communication (NFC) frequency of 13.66 MHz. Signals are transmitted back via load modulation at frequencies a fraction of the power carrier frequency, thus allowing for extraction of the signal frequency. Results clearly show that modulation frequency tracks closely with open circuit potential, and the system features good sensitivity and linearity. This system holds promise for a host of applications.

Disclosed is a sensing platform including a server; one or more remote sensing systems coupled to the server, one or more local sensor(s) for target object monitoring; a wireless module coupled to a network through wireless a link; and a processor to read data from local sensor(s) and communicate information through the network using the wireless module. The sensing system has a low power consumption mode in which the processor puts the wireless module and the local sensor(s) in sleep mode or powered off. The processor has a sleep or deep sleep mode, a power-off mode, and a wake up mode, and the local sensor(s) are accessed at a frequency 1/T1 and the wireless module is at lower frequency 1/Tw where Tw>T1, and the server receives monitored value from remote sensing systems and interacts with the remote sensing system.

A platform for context-aware experimentation includes a housing for one or more sensors for obtaining data pertaining to an on-going experiment, a communications subsystem for transmitting data obtained by the sensors, and a microcontroller for receiving data from the sensors, providing it to the communications subsystem, and possibly controlling the sensors. The housing may be a tube, which may be configured to hold a sample and may have a cap, or a waterproof package, which may have an opening to admit at least part of a sample. The platform may include a power source. The platform may include a computer processor, located outside the housing, for analyzing the data obtained by the sensors, determining the experimental context in which the sensors are operating and/or which experimental step in a protocol is being performed, and/or reminding users of required parameters for the steps in the protocol.

Various embodiments of wireless ambient sensor unit are presented. The sensor unit may include a wireless transceiver configured to transmit sensor data and to receive instructions. The sensor unit may include a sensor configured to measure an ambient condition. The sensor unit may include a controller in communication with the wireless transceiver and the sensor. The controller may be configured to compare data measured about the ambient condition to a stored threshold while the wireless ambient sensor unit is functioning in a low-power mode. The controller may be configured to exit the low-power mode in response to the comparison of the data with the stored threshold. The controller may be configured to cause the data measured about the ambient condition to be transmitted by the wireless transceiver as one or more messages in response to the comparison to the stored threshold.

A protective garment contains a projectile detection device, in addition to impact and breach resistant materials for protecting the wearer. An arrangement of force sensitive regions defines a grid arrangement responsive to an incoming projectile. The force sensitive regions include pressure sensitive or piezoelectric characteristics such that an impact varies the electrical response of each region. A detection circuit connects to each region for sampling. A sampling of the regions computes a high velocity impact by a sudden change in the sensed electrical characteristics, such as a sudden drop in resistance between two planer sheets. The grid arrangement identifies the impact placement on the garment, and can be mapped to anatomical regions to evaluate a severity. Placement and impact force, along with GPS coordinates of the wearer, are transmitted by the detection circuit and/or in conjunction with an app on a mobile device of the wearer for alerting first responders.

A protective garment contains a projectile detection device, in addition to impact and breach resistant materials for protecting the wearer. An arrangement of force sensitive regions defines a grid arrangement responsive to an incoming projectile. The force sensitive regions include pressure sensitive or piezoelectric characteristics such that an impact varies the electrical response of each region. A detection circuit connects to each region for sampling. A sampling of the regions computes a high velocity impact by a sudden change in the sensed electrical characteristics, such as a sudden drop in resistance between two planer sheets. The grid arrangement identifies the impact placement on the garment, and can be mapped to anatomical regions to evaluate a severity. Placement and impact force, along with GPS coordinates of the wearer, are transmitted by the detection circuit and/or in conjunction with an app on a mobile device of the wearer for alerting first responders.

Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.

Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.

Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.

A method of operating a battery powered telemetric device configured with a processor, a sensor to measure data to indicate the contents or usage of a product within an asset generating sample data, data storage, at least one battery and a transmitter, includes keeping in the data storage at least one instance of previous data samples represented in a previously transmitted packet, awakening the telemetric device at variable time intervals programmed according to pre-determined user-defined characteristics so that the sensor provides sample data to the data storage to indicate the contents or usage of the product within the asset wherein the telemetric device is otherwise asleep to minimize battery drain, storing all the sample data since the transmission of the previously transmitted packet and the kept at least one instance of previous data samples represented in the previously transmitted packet in the data storage as all the stored sample data, transmitting a packet including representations of the contents or usage of the product within in the asset of all the stored sample data in a manner to limit the number of transmissions to as few as possible unless: the stored sample data indicates changes in the contents or usage of the product within the asset are equal to or exceed a predetermined change value; or there has been no change in the contents or usage of the product within the asset over a prolonged period of time.