Abstract: An optical module includes: a circuit board provided with optical emission and reception chips; and a lens assembly having a bottom connected to the circuit board and covering the optical emission and reception chips. The lens assembly includes a lens assembly body, first and second optical fiber adapters arranged at a first end of the lens assembly body and configured to transmit emission optical signal and reception optical signal, respectively. A distance between centers of the optical emission chip and the optical reception chip, in a direction perpendicular to an optical axis of the first optical fiber adapter and an optical axis of the second optical fiber adapter, is less than a distance between optical axes of the first optical fiber adapter and the second optical fiber adapter. The lens assembly body is formed thereon with four optical surfaces.

Abstract: An optical module includes: a circuit board; an optical chip; a lens assembly covered on the optical chip, a first seal exists between the lens assembly and the circuit board, the lens assembly is provided with a wrapping cavity and is provided with a recessed optical port groove and a blocking assembly at least partially covered on the optical port groove, and the optical port groove has a reflective surface; an optical fiber holder fixedly connected to an optical fiber at one end and fixed in the wrapping cavity at the other end, a second seal is located between respective side faces of the optical fiber holder and outer side faces of three side walls of the wrapping cavity away from the circuit board, and around a side wall of the wrapping cavity close to the circuit board.

Abstract: An optical module includes a circuit board and a lens assembly. A light monitoring chip and a light emitting chip are arranged on the circuit board and covered by the lens assembly covers. The lens assembly is provided with: a first bevel forming a first preset angle for receiving a light signal emitted by the light emitting chip and splitting the light signal into a first split light and a second split light; a second bevel forming a second preset angle; a third bevel forming a third preset angle; a fourth bevel forming a fourth preset angle. The first split light may change its transmission direction of via cooperation of the first, second and the first preset angle, and is transmitted to a first optical fiber array. The second split light is transmitted to the light monitoring chip via cooperation of the fourth and first preset angle.

Abstract: An optical module includes a shell, a circuit board, at least one of a light-transmitting chip or a light-receiving chip, a lens assembly, an optical fiber ferrule assembly and a fixing plate. The circuit board is disposed in the shell. The light-transmitting chip and/or the light-receiving chip is disposed on the circuit board. The lens assembly is disposed on the circuit board, covers the light-transmitting chip and/or the light-receiving chip, and is configured to change a propagation direction of an optical signal incident into the lens assembly. The optical fiber ferrule assembly is connected to the lens assembly, and is configured to transmit an optical signal incident into the optical fiber ferrule assembly. The fixing plate is configured to fix the optical fiber ferrule assembly to the lens assembly.

Abstract: An optical module includes a shell, a circuit board, at least one of a light-transmitting chip or a light-receiving chip, a lens assembly, an optical fiber ferrule assembly and a fixing plate. The circuit board is disposed in the shell. The light-transmitting chip and/or the light-receiving chip is disposed on the circuit board. The lens assembly is disposed on the circuit board, covers the light-transmitting chip and/or the light-receiving chip, and is configured to change a propagation direction of an optical signal incident into the lens assembly. The optical fiber ferrule assembly is connected to the lens assembly, and is configured to transmit an optical signal incident into the optical fiber ferrule assembly. The fixing plate is configured to fix the optical fiber ferrule assembly to the lens assembly.

Abstract: This application is a transportation network speed forecasting method using deep capsule networks with nested LSTM models. The method includes the following steps: (1) This method divides the transport network into road links, calculates average speeds of each road link, maps the average speeds into a grid system, and generate traffic images representing traffic state at time intervals; (2) the method uses a CapsNet to capture the spatial relationship between road links. The learn patterns are represented in vectors; (3) The vectors of CapsNet are feed into a NLSTM model to learn temporal relationships between road links; (4) The model is trained using and training dataset, and predicts future traffic states using testing dataset. This application uses a new and advanced CapsNet neural structure, while can more efficiently deal with complex traffic networks than CNN models.

Abstract: The present invention discloses an optimization method for joint scheduling of manned buses and autonomous buses, which fully considers the possibility of improving bus service quality and reducing operating costs using the variable capacity characteristics of autonomous buses. For passengers, the optimization method for joint scheduling dynamically adjusts the capacity and departure frequency of autonomous buses according to passenger demands, shortens passenger waiting time, and lowers the risk that a passenger cannot get on a bus during the peak period; and for bus management departments, the optimization method for joint scheduling ensures full utilization of manned buses and autonomous buses, improves scheduling efficiency, and saves operating costs by dynamically adjusting the capacity of autonomous buses during the peak period and flat peak period.

Abstract: This application is a transportation network speed forecasting method using deep capsule networks with nested LSTM models. The method includes the following steps: (1) This method divides the transport network into road links, calculates average speeds of each road link, maps the average speeds into a grid system, and generate traffic images representing traffic state at time intervals; (2) the method uses a CapsNet to capture the spatial relationship between road links. The learn patterns are represented in vectors; (3) The vectors of CapsNet are feed into a NLSTM model to learn temporal relationships between road links; (4) The model is trained using and training dataset, and predicts future traffic states using testing dataset. This application uses a new and advanced CapsNet neural structure, while can more efficiently deal with complex traffic networks than CNN models.

Abstract: A process for the production of organic chemicals and fuels from lignin in the presence of a molybdenum or tungsten based catalyst, comprising mixing the lignin with the catalyst and a solvent in a sealed reactor, introducing an inert gas or hydrogen to the reactor to replace oxygen therein, and heating the sealed reactor to perform a depolymerization reaction at a reaction temperature of above 200° C. to obtain liquid products, which include aromatic compounds, esters, alcohols, monophenols and benzyl alcohols.

Abstract: A subgroup VI element to prepare a catalyst for the production of organic chemicals and fuels from lignin with the involvement of solvent molecules. The catalytic reaction use a catalyst composed of a molybdenum or tungsten compound as the active phase, with mixing a kind of lignin, a catalyst, and a reactive solvent. An inert or reductive gas such as H2, N2 or Ar is used to purge or fill the reaction vessel. The temperature is above 200° C., the reaction time is sufficient. The liquid product is separated and analyzed; a catalytic process with a very high product yield, up to 90% if calculated accounting the parts from lignin of the product molecules, or up to over 100% if calculated as the mass products. The product includes aromatic compounds, esters, alcohols, monophenols and benzyl alcohols in different ratios according to the composition, the solvent and the other reaction conditions.