Hong Kong Applied Science and Technology Research Institute Company, Limited

Wei Lun Alan Cheung

Zhixia Zhu

Kwok Kwan Tong

Chan Fai Lam

Chi Wai Ng

Che Yuen Brian Lam

Tin Lung Wong

Tsz Yu Cheung

Man Yuen Cheng

A system for identity authentication on blockchain using NFTs includes a user interface, an identity NFT minting module, and a verifiable credential issuer module. The user interface allows a user to link a blockchain wallet and a credential wallet to the user interface and to provide an online service ID and requests the user to create signatures using a blockchain wallet private key and a credential wallet signing key. The identity NFT minting module verifies the online service ID and verifies the two signatures using the blockchain wallet address and the DID. The identity NFT minting module mints an identity NFT on a blockchain network, preserving the online service ID, the blockchain wallet address, and the DID in the identity NFT as metadata. The verifiable credential issuer module issues a verifiable credential to the user and triggers the identity NFT minting module for adding credential metadata to the identity NFT.

System and method using identity non-fungible token for identity verification in metaverse and online services

A computer-implement method for exchanging data between a blockchain system and a non-blockchain system is provided. The method includes: adding, by endorser nodes, periodically a plurality of status information of the endorser nodes to a smart contract of a blockchain ledger; receiving, by a first peer node, a transaction from an application; sending, by the first peer node, the received transaction to all endorser nodes; processing, by the endorser nodes, the transaction via the smart contract to obtain a plurality of endorsements; electing, by the endorser nodes, one of the endorser nodes as a target endorser node according to the status information of the endorser nodes; and transferring, by the target endorser node, the endorsed transaction to the non-blockchain system via an API corresponding to the non-blockchain system.

Method and apparatus for exchanging data between blockchain system and non-blockchain system

A hardware accelerator for accelerating the zero knowledge succinct non-interactive argument of knowledge (zk-SNARK) protocol by reducing the computation time of the cryptographic verification is disclosed. The accelerator includes a zk-SNARK engine having one or more processing units running in parallel. The processing unit can include one or more multiply-accumulate operation (MAC) units, one or more fast Fourier transform (FFT) units; and one or more elliptic curve processor (ECP) units. The one or more ECP units are configured to reduce a bit-length of a scalar din an ECP algorithm used for generating a proof, thereby the cryptographic verification requires less computation power.

Zero knowledge proof hardware accelerator and the method thereof

A Power-Line Communication (PLC) receiver has a filter, a time domain processor, a frequency-domain processor, and a forward-error-correction decoder. A narrow-band frequency detector attached to the frequency-domain processor examines the frequency-domain signal for a highest-power sub-carrier frequency. This highest power is compared to an average power of all other sub-carriers and a narrow-band interferer is detected when the highest power is significantly above the average. When the interferer is detected N times in a time period, a control layer adds this sub-carrier frequency to a removed list and recalculates filter coefficients to add a notch filter at the frequencies of the removed list. Updated filter coefficients are loaded into the filter to implement notch filters. When the current power of a sub-carrier signal on the removed list falls significantly below the average power, the sub-carrier is deleted from the removed list and coefficients recalculated to remove the notch filter.

Interference detection and mitigation in power line communication

A Sampling Frequency Offset (SFO) tracking and estimation circuit performs SFO compensation on incoming data. A SFO acquisition module makes an initial coarse estimate using a Network Time Base (NTB) from the Media-Access-Controller (MAC) layer, or from the physical layer using adjacent synchronization symbols. A preamble channel estimator compares a frequency-domain preamble symbol to a reference symbol to generate a first channel estimate. As additional symbols are received, converted to the frequency domain, demodulated, and error corrected, the resulting data are re-error-encoded and compared to the same symbol stored before error correction and demodulation to generate a decision feedback channel estimate. The conjugate of the decision feedback channel estimate is multiplied by the last channel estimate to generate a new SFO estimate that is scaled by a filter constant and used to adjust SFO compensation. Each symbol generates a new estimate without using pilots.

Sampling frequency offset tracking based on decision feedback channel estimation

Multi view images are generated with reduced flickering. A first depth map is generated from stereo images by stereo-matching. When stereo-matching is poor or varies too much from frame to frame, disparity fallback selects a second depth map that is generated from a single view without stereo-matching, preventing stereo-matching errors from producing visible artifacts or flickering. Flat or textureless regions can use the second depth map, while regions with good stereo-matching use the first depth map. Depth maps are generated with a one-frame delay and buffered. Low-cost temporal coherence reduces costs used for stereo-matching when the pixel location selected as the lowest-cost disparity is within a distance threshold of the same pixel in a last frame. Hybrid view synthesis uses forward mapping for smaller numbers of views, and backward mapping from the forward-mapping results for larger numbers of views. Rotated masks are generated on-the-fly for backward mapping.

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Hong Kong, China

Wei Lun Alan Cheung