Embodiments of the invention employ frequency selective surfaces that resonate at defined frequencies depending on geometry. Tag-based embodiments allow the ability to have passive, battery-free, systems that can be used for applications including but not limited to inventory tracking, locating, and indoor radar (e.g. determining whether something labeled with a tag is in range of a particular wireless network signal). The shape of the resonator, among other available factors, influences the interference frequency. Embodiments may include metal based tags on a non-conductive material that will be used to disturb, for example, frequencies from 3 KHz to 300 GHz. These disturbances at specific resonant frequencies are useable to, for example, locate the tags/labels using WiFi Mapping, sending a WiFi signal and getting unique feedback on a router.

This learning device is provided with: a simulation execution unit that, by using electromagnetic field analysis simulation, determines a reflected wave spectrum obtained when electromagnetic waves are emitted from a reader to an identification target; and a machine learning unit that, by using training data in which the reflected wave spectrum calculated by the simulation execution unit and an attribute thereof are defined as a set, performs a training process on a learning model by machine learning. The simulation execution unit generates a plurality of the reflected wave spectra belonging to the same attribute by variously changing various parameters related to the identification target from reference parameters. The machine learning unit performs a training process on the learning model by machine learning by using, as training data, the plurality of reflected wave spectra obtained for each attribute.

This learning device is provided with: a simulation execution unit that, by using electromagnetic field analysis simulation, determines a reflected wave spectrum obtained when electromagnetic waves are emitted from a reader to an identification target; and a machine learning unit that, by using training data in which the reflected wave spectrum calculated by the simulation execution unit and an attribute thereof are defined as a set, performs a training process on a learning model by machine learning. The simulation execution unit generates a plurality of the reflected wave spectra belonging to the same attribute by variously changing various parameters related to the identification target from reference parameters. The machine learning unit performs a training process on the learning model by machine learning by using, as training data, the plurality of reflected wave spectra obtained for each attribute.

A bio-electronic tag-based feature extraction and verification method, a device therefor and a tag. The fingerprint electronic tag includes: a resilient film substrate; an antenna formed by a conductive layer attached to the film substrate, the antenna comprising a fingerprint region which forms a microstrip antenna with a printed fingerprint pattern when the fingerprint electronic tag is attached to a finger; and a protective film covering the antenna and bonded to the film substrate

A computer-implemented method for digitization of papercraft folding for creation of a papercraft model may include monitoring, via an RFID reader, a sheet provided with an array of RFID tags. Based on the RFID reader output, the occurrence of a fold performed on the sheet is determined. The method further includes determining fold properties of the occurred fold and storing the fold properties as a fold dataset of the occurred fold.

Provided is a medical device assembly for detection of medical device components and/or mating thereof. The medical device assembly may include a first medical device component having at least one first resonant structure, which may have a first resonant frequency spectrum. A second medical device component may have at least one second resonant structure, which may have a second resonant frequency spectrum different than the first resonant frequency spectrum. Upon mating of the first medical device component to the second medical device component, the first resonant structure(s) and the second resonant structure(s) may combine to have a third resonant frequency spectrum, which may be different than the first resonant frequency spectrum and the second resonant frequency spectrum. A system and method are also disclosed.

In an approach for identifying an object using an electromagnetic tag, an electromagnetic signal is received by a sensor, wherein the electromagnetic signal originates from an electromagnetic tag affixed to an object, and wherein the electromagnetic signal passes through a physical propagation channel. A processor searches a database for an electromagnetic signature corresponding to the electromagnetic signal, wherein the database comprises, at least, object information associated with the electromagnetic signature. A processor determines the electromagnetic signal corresponds to the electromagnetic signature. A processor presents the object information associated with the electromagnetic signature.

The invention relates to a capacitive, planar information carrier with a first, second and third electrically conductive area wherein the first electrically conductive area is overprinted with a first dielectric layer having a first relative permittivity ∈1 and wherein the third electrically conductive area is overprinted with a second dielectric layer having a second relative permittivity ∈2. In another aspect, the invention relates to an information carrier formed from an electrically conductive surface of an object or an electrically conductive object. In other aspects, the invention relates to methods for the manufacture of information carriers, methods for detecting information carriers and to the use of an information carrier.

The invention relates to a capacitive, planar information carrier with a first, second and third electrically conductive area wherein the first electrically conductive area is overprinted with a first dielectric layer having a first relative permittivity ∈1 and wherein the third electrically conductive area is overprinted with a second dielectric layer having a second relative permittivity ∈2. In another aspect, the invention relates to an information carrier formed from an electrically conductive surface of an object or an electrically conductive object. In other aspects, the invention relates to methods for the manufacture of information carriers, methods for detecting information carriers and to the use of an information carrier.

A contact card is enhanced based on a knowledge graph. A communication application initiates operations to enhance a smart contact card upon receiving a communication from an organization or brand. A knowledge graph is queried to retrieve an association information between a recipient of the communication and the organization or brand. The association information is matched to an interest of the recipient. The association information is also inserted into a smart contact card of the organization or brand. A control element to interact with the association information is inserted into the smart contact card as well. Furthermore, the smart contact card is presented to the recipient.