Sony Deutschland Gmbh

Sony Corporation

Sony Group Corporation

Sony Semiconductor Solutions Corporation

Sony International (europe) Gmbh

Sony Europe B.v.

Stephen Tiedemann

Lothar Stadelmeier

Nabil Sven Loghin

Andreas Schwager

Thomas Kemp

Thomas Handte

Markus Zumkeller

Gralf Gaedeken

Dietmar Schill

Frank Dawidowsky

Meik Buscemi

Stefan Uhlich

Klaus Röhrle

Jurina Wessels

Dana Ciochina

Fabien Cardinaux

Felix Fellhauer

Paul Szucs

Matthias Mayer

Javier Alonso Garcia

Klaus Roehrle

Sabine Terranova

Bi Wang

Lev Markhasin

Kazuki Yoshiyama

Lukas Mauch

Maximilian Arnold

Gralf GÄDEKEN

An image processing circuitry configured to: store, based on an obtained command, a first image identifier of first image data or the first image data on a write-once-read-many memory, wherein the first image identifier is generated based on the first image data such that it is unique for the first image data.

Image processing circuitry and image processing method

A method comprising a deep learning based translation system translating a source sentence from language A to a target sentence in language B, placing constraints on the target sentence in language B.

Electronic device, method and computer program

A computer-implemented method of training an artificial neural network (ANN) by generating a first learned parameter for use in normalising input data values during a subsequent inference phase of the trained ANN. The method includes, for each of a series of batches of training data values, deriving a batch variance of the batch of training data values and a running variance of all training data values already processed in the training phase; generating an approximation of a current value of the first learned parameter so that a first scaling factor dependent upon the approximation of the first learned parameter and the running variance, is constrained to be equal to a power of two; and normalizing the batch of input data values by a second scaling factor dependent upon the approximation of the current value of the first learned parameter and the batch variance.

Artificial neural network

An NFC device comprises a function unit configured to execute a function based on related command code, a storage unit configured to store the command code, a communication unit configured to communicate with another NFC device, and a processing unit configured, if an update of the command code shall be made by the another NFC device, to calculate a checksum over at least part of the command code, to compare the calculated checksum with a checksum received from the another NFC device and to authorize the update if the received checksum matches the calculated checksum.

NFC device, reader/writer device and methods for authorizing and performing an update

A transmitting device, a receiving device, and a communication method for transmitting and receiving data modulated on frequency subcarriers of an OFDM communication system. An OFDM burst includes a preamble part and payload data part, whereby the preamble includes a section of pilot symbols mapped onto every n-th frequency subcarrier and signaling data mapped onto the frequency subcarriers between the frequency subcarriers with the pilot symbols. A first channel estimation on the basis of the received pilot symbols is performed, the result of which is used to reconstruct the entire section of the received preamble as a training pattern for an accurate channel estimation, which is used for a channel equalization of the received payload part.

Transmitting device, receiving device and communication method for an OFDM communication system with new preamble structure

A power line communication method for realizing data communication between at least one first or sending power line communication partner device and at least one second or receiving power line communication partner device. The method checks transmission conditions of a plurality of possible communication channels, thereby generating transmission condition data descriptive for the communication conditions of the respective possible communication channels. Additionally, communication conditions of the plurality of possible communication channels are selected as actual communication conditions based on the transmission condition data.

Power line communication methods and devices

A portable electronic device () with a NFC (near field communication) unit () is switchable between an active mode and a passive mode. A motion sensor unit () records a motion of the portable electronic device (), and outputs a motion signal descriptive for the recorded motion. A processing unit () analysis the motion signal to detect a first predefined motion pattern including an acceleration and a deceleration phase. The NFC unit () is switched into the active mode upon detection of a first predefined motion pattern descriptive for an NFC touch gesture.

Portable electronic device and operation method for establishing a near field communication link

A method is provided for generating an electronic coupon comprising generating coupon identification data; generating coupon metadata; and generating the electronic coupon based on the coupon identification data and based on the coupon metadata. Further, a coupon holding device is provided including a coupon receiving unit configured to receive a first electronic coupon; a coupon metadata generation unit configured to generate coupon metadata for the first electronic coupon; and a coupon generation unit configured to generate a second electronic coupon based on the first electronic coupon and the coupon metadata.

Method for generating an electronic coupon, coupon holding device, system for generating an electronic coupon, electronic coupon and computer program product

A near field communication reader device is provided including a transmitter to transmit a request to a near field communication tag device; wherein the request is formed according to a predetermined format including an identifier section for carrying a request identifier; a receiver to receive a response from the near field communication tag device; wherein the response is formed based on the request according to the predetermined format including the identifier section for carrying a response identifier; and a processor to generate the request identifier, to compare the request identifier with the response identifier and to accept the response as a valid response if the response identifier is different from the request identifier. A corresponding near field communication tag device, a near field communication system and a near field communication method are provided as well.

Near field communication reader device, near field communication tag device, near field communication system and near field communication method

A method for receiving a signal, which is transmitted over a pair of wires is measuring a differential mode (DM) signal and is measuring a common mode (DM) signal and using both DM and CM to restore the original signal. A corresponding receiver () comprises a CM receiving path (), a DM receiving path () and a digital signal processor () to combine CM and DM signals. With this method and receiver () the coverage of networks, which are slightly unbalanced, can be enhanced, especially in cases where the CM signal is less attenuated than the DM signal.

Method for receiving a signal, which is transmitted over a pair of wires and receiver

A method for providing data on the Internet, comprising calculating, using a microprocessor, a value of a predetermined function for said data, wherein the value depends on the data, determining, using said microprocessor, a uniform resource identifier including said value, and storing, at a resource on the Internet, said data, wherein the resource is accessible by using the uniform resource identifier. Further, a method for accessing data on the Internet is provided, comprising retrieving said data from a resource in the Internet by using a uniform resource identifier, determining, using a microprocessor, a part of the uniform resource identifier, the part corresponding to a value of a predetermined function, calculating, using the microprocessor, a further value for said data based on said predetermined function, wherein the value depends on the data, and determining, using the microprocessor, the integrity of said data by comparing said value and said further value.

Method for providing/accessing data on the internet and a respective client, server, and system

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Stuttgart, Germany

Stephen Tiedemann