Optotrace Technologies, Inc.

Optotrace (suzhou) Technologies, Inc.

The Boeing Company

Beijing Wodong Tianjun Information Technology Co., Ltd.

Jingdong Technology Information Technology Co., Ltd.

Optrotrace (suzhou) Technologies, Inc.

Chunwei Liu

Hong Peng Wang

Xun Guo

Yi Wang

Ming Zhao

Chao Ma

Hao Zhou

Haibo Sun

Xue Zhong

Hongbin Cao

Xuan Wei

Zhi Sun

Dong Zhang

Shuaijian Wang

Huafang Chang

Renhui Yang

Pengcheng Yan

Qun Lin

Tianrui Ni

Ning Ma

Anping Deng

A system, a method and a device for developing a smart contract are provided. A particular embodiment of the system comprises a specification acquisition module configured to acquire specification of a target smart contract interface, a client development module configured to generate, on the basis of the specification of the target smart contract interface, a smart contract client side interface and a smart contract client side agent, the smart contract client side interface and the smart contract client side agent being used to construct a client smart contract application, and a server development module configured to generate, on the basis of the interface specification of the target smart contract, a smart contract server interface and a smart contract server skeleton, the smart contract server interface and the smart contract server skeleton being used to construct a server smart contract.

System, method and apparatus for developing smart contract

Embodiments of the present application provide a block verification method, apparatus and device. The method includes: acquiring a block to be detected, where a plurality of transactions are stored in the block to be detected; obtaining a plurality of state operation queues according to a state item of each state operation in each transaction, where each state operation queue includes state operations belonging to the same state item; and performing parallel verification on each state operation queue and obtaining a verification result of the block. Each state operation of each transaction in the block to be detected is divided into the state operation queue corresponding to each state item according to the state item, and parallel verification is performed on each state operation queue.

Block verification method, apparatus and device

A method for regenerating different types of copper-containing aluminum alloys using aluminum alloy scrap from aeronautical industry includes detecting a chemical composition of said aluminum alloy scrap and optionally adding a suitable amount of a metal or alloy additive according to a composition requirement of a target aluminum-copper alloy, thereby obtaining a mixture of aluminum alloy scrap and metal or alloy additive; vacuum smelting the mixture of aluminum alloy scrap and metal or alloy additive in a vacuum furnace, wherein impurities are removed and an aluminum alloy solution is formed; filtering the aluminum alloy solution using a filter to obtain a melt comprising a target aluminum alloy composition; and casting the target aluminum alloy composition from said melt.

Method for regenerating copper-containing aluminum alloy from aluminum alloy scrap

An integrated chromatography-immunoassay system for integrated chromatography-immunoassay system includes a chromatographic unit that receives labeled nano-structured probes comprising nano particles and antibodies attached to the nano particles, and a test membrane comprising coating antigens. The chromatographic unit allows the labeled nano-structured probes to diffuse there through and into the test membrane, wherein the antibodies on the nano particles are bound to the coating antigens. A laser device emits a laser light to illuminate the labeled nano-structured probes having the antibodies bound to the coating antigens on the test membrane. A spectral analyzer obtains a Raman spectrum from light scattered from the labeled nano-structured probes having the antibodies bound to the coating antigens on the test membrane, and to identify a spectral signature in the Raman spectrum associated with the antibody-antigen pair, which enables detection and identification of the antibody.

Analyzing chemical and biological substances using nano-structure based spectral sensing

A method for detecting crude oil or gas in a drilling sample includes introducing a drilling sample into a sample solution containing nano particles, illuminating the sample solution comprising the drilling sample and the nano particles by a laser beam, collecting light scattered by the drilling sample and the nano particles in the sample solution, obtaining a Raman spectrum from the light scattered by the drilling sample and the nano particles in the sample solution, identifying, in the Raman spectrum, a spectral signature associated with a substance around a predetermined Raman shift, and detecting targeted chemicals correlated with crude oil or gas existence underground from where the drilling sample, based on the spectral signature of the substance in the Raman spectrum.

System and method for detecting oil or gas underground using light scattering spectral analyses

A method for inspecting an edible oil includes obtaining a first Raman spectrum from an edible oil sample, discovering an unhealthy, unsanitary, unsafe, or adulterated content in the edible oil sample in part by the intensity level of the fluorescence background in the first Raman spectrum, introducing the edible oil sample to nano-scale surface structures to allow molecules of the edible oil sample to be adsorbed to the nano-scale surface structures, illuminating the edible oil sample and the nano-scale surface structures by a laser beam, obtaining a second Raman spectrum from light scattered by molecules of the edible oil sample adsorbed to the nano-scale surface structures, and identifying the unhealthy, unsanitary, or unsafe content in the edible oil sample using one or more first spectral signatures in the second Raman spectrum.

Assuring food safety using nano-structure based spectral sensing

A monitoring network system for inspecting and controlling harmful substances includes probe assemblies that each includes a sensor comprising nano structured surfaces or nano particles in a solution, configured to adsorb molecules of a sample material captured adjacent to the sensor, a laser that can emit a laser beam to illuminate the molecules adsorbed to the nano structured surfaces, a spectrometer that can produce spectral data from light scattered by the molecules adsorbed to the nano structured surfaces, and a ID reader that can retrieve identification information about the sample material. A central office can determine a spectral signature matching spectral signatures stored in a database and to identify a harmful substance in the sample material. An alert and response system can send out an alert signal about the sample material when the harmful substance is identified in the sample material.

Monitoring network based on nano-structured sensing devices

A sensor-network system for spectrally sensing a chemical or biological substance includes a plurality of probe assemblies that each includes a sensor comprising a nano structured surface, wherein the nano structured surface can adsorb molecules of a sample material captured adjacent to the sensor; a laser configured to emit a laser beam to illuminate the molecules adsorbed to the nano structured surface, and a spectrometer that can obtain spectral data from light scattered by the molecules adsorbed to the nano structured surface. A control center includes a computer storage configured to store spectral signatures each associated with a chemical or biological substance and a spectral analyzer that can determine a spectral signature matching at least one of the spectral signatures stored in the computer storage thereby to identify, in the sample material, the chemical or biological substance associated with the one of the spectral signatures.

Spectrally sensing chemical and biological substances

A method for detecting an ingredient in a food product or detecting a disease includes allowing a food sample solution obtained from a food product or a body fluid from an individual to come to contact with a nano-scale surface structure in a sensor, wherein the nano-scale surface structure comprises a plurality of columns over a substrate or a plurality of holes in a substrate. The method includes illuminating the food sample solution or the body fluid on the nano-scale surface structure on the sensor by a laser beam; obtaining a Raman spectrum from the scattered light using a spectral analyzer; and identifying the spectral signature in the Raman spectrum to determine the existence of the chemical substance in the food product or identifying a disease in the individual.

Systems and methods for detecting chemical and biological substances

A method for detecting an ingredient in a food product includes establishing a spectral signature in a Raman spectrum obtained from a chemical substance; allowing a food sample solution obtained from a food product to come to contact with a first nano-scale surface structure in a first sensor, wherein the first sensor comprises a substrate, wherein the nano-scale surface structure comprises a plurality of columns over the substrate or a plurality of holes in the substrate; illuminating the food sample solution and the first nano-scale surface structure on the first sensor by a laser beam; scattering the laser beam by the food sample solution and the first nano-scale surface structure to produce a scattered light; obtaining a first Raman spectrum from the scattered light using a spectral analyzer; and identifying the spectral signature in the first Raman spectrum to determine the existence of the chemical substance in the food product.

Growing community of inventors

Beijing, China

Chunwei Liu