公开(公告)号：US11618630B2

公开(公告)日：2023-04-04

申请号：US17497986

申请日：2021-10-11

申请人： Xiang Wu

发明人： Xiang Wu

IPC分类号： B65G17/08 ,  B65G15/48 ,  B65G17/40 ,  B65G23/06

摘要： A net chain driving structure includes a conveying net chain. The conveying net chain includes a plurality of chain links successively inserted in a conveying direction, a plurality of lugs spaced apart from each other are arranged on two sides of the chain links, an end portion of the lug is an arcuate face, a meshing groove is disposed on the chain link, the meshing groove is spliced by an open slot provided on a back side of the chain link and the lugs on the adjacent chain links, a gear in transmission meshing with the meshing groove is disposed on each end of the conveying net chain, a tangent plane tangential to the arcuate face is disposed on the arcuate face of the lug, and transmission contact toothed surfaces of the tangent plane and the gear are attached to each other in parallel during meshing transmission.

公开(公告)号：US20230034287A1

公开(公告)日：2023-02-02

申请号：US17379344

申请日：2021-07-19

申请人： Juyang Weng ,  Xiang Wu

发明人： Juyang Weng ,  Xiang Wu

IPC分类号： G06N3/00 ,  G06N3/04 ,  G06N3/08

摘要： Traditionally, learning speech synthesis and speech recognition were investigated as two separate tasks. This separation hinders incremental development for concurrent synthesis and recognition, where partially-learned synthesis and partially-learned recognition must help each other throughout lifelong learning. This invention is a paradigm shift—we treat synthesis and recognition as two intertwined aspects of a lifelong learning robot. Furthermore, in contrast to existing recognition or synthesis systems, babies do not need their mothers to directly supervise their vocal tracts at every moment during the learning. We argue that self-generated non-symbolic states/actions at fine-grained time level help such a learner as necessary temporal contexts. Here, we approach a new and challenging problem—how to enable an autonomous learning system to develop an artificial motor for generating temporally-dense (e.g., frame-wise) actions on the fly without human handcrafting a set of symbolic states. Here the artificial motor corresponds to a combination of a multiplicity of robotic effectors, including, but not limited to, speaking, singing, dancing, riding a bike, swimming, and driving a car. The self-generated states/actions are Muscles-like, High-dimensional, Temporally-dense and Globally-smooth (MHTG), so that these states/actions are directly attended for concurrent synthesis and recognition for each time frame. Human teachers are relieved from supervising learner's motor ends. The Candid Covariance-free Incremental (CCI) Principal Component Analysis (PCA) is applied to develop such an artificial speaking motor where PCA features drive the motor. Since each life must develop normally, each Developmental Network-2 (DN-2) reaches the same network (maximum likelihood, ML) regardless of randomly initialized weights, where ML is not just for a function approximator but rather an emergent Turing Machine. The machine-synthesized sounds are evaluated by both the neural network and humans with recognition experiments. Our experimental results showed learning-to-synthesize and learning-to-recognize-through-synthesis for phonemes. This invention corresponds to a key step toward our goal to close a great gap toward fully autonomous machine learning directly from the physical world.

公开(公告)号：US20220024692A1

公开(公告)日：2022-01-27

申请号：US17497986

申请日：2021-10-11

申请人： Xiang WU

发明人： Xiang WU

IPC分类号： B65G17/08 ,  B65G23/06 ,  B65G17/40 ,  B65G15/48

摘要： A net chain driving structure includes a conveying net chain. The conveying net chain includes a plurality of chain links successively inserted in a conveying direction, a plurality of lugs spaced apart from each other are arranged on two sides of the chain links, an end portion of the lug is an arcuate face, a meshing groove is disposed on the chain link, the meshing groove is spliced by an open slot provided on a back side of the chain link and the lugs on the adjacent chain links, a gear in transmission meshing with the meshing groove is disposed on each end of the conveying net chain, a tangent plane tangential to the arcuate face is disposed on the arcuate face of the lug, and transmission contact toothed surfaces of the tangent plane and the gear are attached to each other in parallel during meshing transmission.

公开(公告)号：US20220100887A1

公开(公告)日：2022-03-31

申请号：US17143182

申请日：2021-01-07

申请人： Xiang Wu ,  Huanhuan Wang ,  Lian Liu ,  Ruirui Li ,  Yu Chen ,  Jingyuan Wang

发明人： Xiang Wu ,  Huanhuan Wang ,  Lian Liu ,  Ruirui Li ,  Yu Chen ,  Jingyuan Wang

IPC分类号： G06F21/62 ,  G06F16/2455

摘要： The invention discloses privacy protection query language PQL and system thereof, comprising PQL statement and system, the system comprises parsing module, query module and noise-injection module; the parsing module comprises lexical analyzer and syntactic analyzer; user inputs PQL statement according to predetermined semantic and syntactic rules, after parsing module receives the PQL statement, lexical analyzer performs error checks on the PQL statement, correct results are sent to syntactic analyzer; the syntactic analyzer performs grammatical and semantic checks on PQL statement, generates a mapping table and a parameter table with correct results; after receiving mapping table, the query module encapsulates the same into SQL statement, and verifies the encapsulated SQL statement; the noise-injection module obtains final query results of the query module, calculates noise injection sensitivity according to parameter table; the invention ensures the data privacy security and satisfies that the injected noise does not affect data availability.