Abstract: A polymorphic network control system and a polymorphic network control system method supporting terminal mobile access. A network architecture is redesigned based on the idea of separation of an identifier from a locator. In this network mode, the three-layer protocol is no longer a traditional IP message, but a message carrying a locator and an identifier. The polymorphic SDN network controller is responsible for forwarding the data packet to a destination corresponding to a destination locator. When the network location of a mobile device is changed, the transmission connection established based on the identifier will suspend communication due to the disconnection of the physical link. When the mobile device is re-accessed and a new forwarding path is established, the transmission connection can recover communication.

Abstract: The present invention provides a method and a system for train periodic message scheduling based on a multi-objective evolutionary algorithm, relating to the field of information and communications technology, mainly including: acquiring an MVB periodic message table; binary encoding the MVB periodic message table and initializing it randomly, to generate an iterative population; performing crossover and mutation operations on the individuals of the iterative population using a genetic algorithm, to update the iterative population; constructing an MVB periodic scheduling table that meets scheduling needs and minimizes the macro cycle according to a multi-objective algorithm and the updated iterative population; scheduling train periodic messages according to the MVB periodic scheduling table, thereby meeting the real-time requirement of periodic data transmission in actual scheduling scenarios.

Abstract: The present disclosure discloses a method for optimizing equipment capacity and equipment power of an energy hub system. The method includes establishing an energy hub model containing natural gas boilers, electric boilers, coolers and heat pumps, establishing a bilevel optimized upper model to solve the optimal heat pump capacity, and establishing a bilevel optimized lower model to solve the optimal power utilization of each energy device based on the binary search algorithm of the quadratic function solves the upper model by using the multi-objective evolutionary algorithm NSGA-II to solve the lower model. The optimization method of the present invention can solve the multi-objective bilevel model problem without the help of commercial optimization software. Obtaining a reasonable, efficient and green planning scheme makes the total operating cost and total exhaust gas emissions of the energy hub relatively optimal.

Abstract: Disclosed is a method and system for determining a motion path of a mechanical arm in which, after a kinematics model of a mechanical arm is established, multiple objective optimization functions are constructed according to the model, theoretical coordinates of a tail end of the arm, and an arm length. If a number of individuals in an evolutionary population, that makes both lateral and longitudinal error optimization functions in an optimization function monotonically increase or decrease, reaches the threshold, an optimal solution is determined using a single-objective evolutionary algorithm; otherwise, a multi-objective evolutionary algorithm is used. The multi- or single-objective evolutionary algorithms can be adaptively selected according to the number of individuals in the population that makes the lateral and longitudinal error optimization functions change.

Abstract: The present disclosure discloses a method for optimizing equipment capacity and equipment power of an energy hub system. The method includes establishing an energy hub model containing natural gas boilers, electric boilers, coolers and heat pumps, establishing a bilevel optimized upper model to solve the optimal heat pump capacity, and establishing a bilevel optimized lower model to solve the optimal power utilization of each energy device based on the binary search algorithm of the quadratic function solves the upper model by using the multi-objective evolutionary algorithm NSGA-II to solve the lower model. The optimization method of the present invention can solve the multi-objective bilevel model problem without the help of commercial optimization software. Obtaining a reasonable, efficient and green planning scheme makes the total operating cost and total exhaust gas emissions of the energy hub relatively optimal.

Abstract: Disclosed is a method and system for splicing and restoring shredded paper based on an extreme learning machine (“ELM”). The method includes: acquiring a shredded paper training sample to be spliced; extracting left and right boundary feature data of the sample; training an ELM neural network model according to the feature data to obtain a trained neural network model (“TNNM”); acquiring a shredded paper test sample to be spliced; extracting feature data of the test sample; selecting a first piece of to-be-spliced shredded paper; selecting, by the TNNM, a shredded piece with a highest degree of coincidence with the first piece; determining whether the shredded piece is correctly spliced to the first piece; if yes, splicing shredded paper until all shredded paper is spliced and restored; if not, adopting manual marking, and continuing to select, by the TNNM, shredded paper with a highest degree of coincidence with the first piece.

Abstract: A dyeing color matching method and system based on a preference genetic algorithm includes: obtaining a reflectivity of a color scheme sample and a first color scheme set having N color schemes; initializing the first color scheme set using a preference genetic algorithm to obtain an initialized color scheme set; conducting crossover and mutation on any two color schemes in the initialized set to obtain a second color scheme set having 2N color schemes; substituting the color schemes in the second set into the conventional model to obtain 2N model reflectivities; determining a third color scheme set according to the 2N model reflectivities; determining whether a color scheme that satisfies a customer's requirement exists in the third set; if yes, conducting proofing on the color scheme to obtain a proofing color scheme set; and determining a color scheme with a minimum color difference according to the proof color scheme.

Abstract: The present invention provides a method and a system for train periodic message scheduling based on a multi-objective evolutionary algorithm, relating to the field of information and communications technology, mainly including: acquiring an MVB periodic message table; binary encoding the MVB periodic message table and initializing it randomly, to generate an iterative population; performing crossover and mutation operations on the individuals of the iterative population using a genetic algorithm, to update the iterative population; constructing an MVB periodic scheduling table that meets scheduling needs and minimizes the macro cycle according to a multi-objective algorithm and the updated iterative population; scheduling train periodic messages according to the MVB periodic scheduling table, thereby meeting the real-time requirement of periodic data transmission in actual scheduling scenarios.

Abstract: A dyeing color matching method and system based on a preference genetic algorithm includes: obtaining a reflectivity of a color scheme sample and a first color scheme set having N color schemes; initializing the first color scheme set using a preference genetic algorithm to obtain an initialized color scheme set; conducting crossover and mutation on any two color schemes in the initialized set to obtain a second color scheme set having 2N color schemes; substituting the color schemes in the second set into the conventional model to obtain 2N model reflectivities; determining a third color scheme set according to the 2N model reflectivities; determining whether a color scheme that satisfies a customer's requirement exists in the third set; if yes, conducting proofing on the color scheme to obtain a proofing color scheme set; and determining a color scheme with a minimum color difference according to the proof color scheme.

Abstract: The present invention discloses a method and system for determining a motion path of a mechanical arm. In the present invention, after a kinematics model of a mechanical arm is established, multiple objective optimization function are constructed according to the kinematic model, theoretical coordinates of a tail end of the mechanical arm, and an arm length.

Abstract: The present invention discloses a method and system for splicing and restoring shredded paper based on an extreme learning machine.

Abstract: An identification code generating system and method thereof using a virtual reality process includes a first electronic device and a second electronic device. The first electronic device displays an identification frame with identification information. The second electronic device further acquires the identification frame by an image acquiring unit, and overlaps an overlapping frame on the identification frame so as to provide an identification code.

Abstract: Compositions and methods for reconstituting a protein of interest in the plasma membrane of a Xenopus oocyte are disclosed. The method generally includes combining a preassembled membrane protein or proteins with a liposome to prepare a proteo-liposome. The proteo-liposome can have a specific composition of lipids. The proteo-liposome is incubated for sufficient time and under conditions suitable for the protein of interest to fold, associate with, or insert into the liposome's lipid bilayer. In some embodiments, the protein or proteins assemble into a protein channel or complex on or in the proteo-liposome's membrane. The treated oocytes can be used to determine the structure, function, or activity of the membrane protein of interest, the effect of a lipid microenvironment on a membrane protein of interest, or to identify compounds that modulate the function or activity of the membrane protein of interest.

Abstract: An identification code generating system and method thereof using a virtual reality process includes a first electronic device and a second electronic device. The first electronic device displays an identification frame with identification information. The second electronic device further acquires the identification frame by an image acquiring unit, and overlaps an overlapping frame on the identification frame so as to provide an identification code.

Abstract: Compositions and methods for reconstituting a protein of interest in the plasma membrane of a Xenopus oocyte are disclosed. The method generally includes combining a preassembled membrane protein or proteins with a liposome to prepare a proteo-liposome. The proteo-liposome can have a specific composition of lipids. The proteo-liposome is incubated for sufficient time and under conditions suitable for the protein of interest to fold, associate with, or insert into the liposome's lipid bilayer. In some embodiments, the protein or proteins assemble into a protein channel or complex on or in the proteo-liposome's membrane. The treated oocytes can be used to determine the structure, function, or activity of the membrane protein of interest, the effect of a lipid microenvironment on a membrane protein of interest, or to identify compounds that modulate the function or activity of the membrane protein of interest.