Intelligent Decision Support Algorithm Based on Self-Adaption Reasoning

This paper analyzes the logic deduction and reasoning techniques used in several intelligent decision support algorithms, and proposes a flexible planning method GARIv using fuzzy descriptive logic in media enterprise management. Combined with experiments, the above methods are illustrated in terms of effectiveness and feasibility. In the end, the challenges and possible solutions of intelligent decision support algorithms with self-adaption reasoning are discussed

Research on an online self-organizing radial basis function neural network

A new growing and pruning algorithm is proposed for radial basis function (RBF) neural network structure design in this paper, which is named as self-organizing RBF (SORBF). The structure of the RBF neural network is introduced in this paper first, and then the growing and pruning algorithm is used to design the structure of the RBF neural network automatically. The growing and pruning approach is based on the radius of the receptive field of the RBF nodes. Meanwhile, the parameters adjusting algorithms are proposed for the whole RBF neural network. The performance of the proposed method is evaluated through functions approximation and dynamic system identification. Then, the method is used to capture the biochemical oxygen demand (BOD) concentration in a wastewater treatment system. Experimental results show that the proposed method is efficient for network structure optimization, and it achieves better performance than some of the existing algorithms

An innovative course about network storage and system virtualization technologies in PKU

Network Storage and System Virtualization Technologies is an up-to-date course opened by the school of electronics engineering and computer science of Peking University. The purpose of this course is to help students to catch up with the fast development of computer science. The theory and the practice of the course mainly give emphasis on the design of data center , including network storage and system virtualization . In addition, this course sets up experiments related with virtualization, combining multicore technology and network storage technology. © 2010 IEEE

Study on Design of Magnetic Flux Leakage Testing Instrument for gun

Abstract: The paper describes the magnetic Dipole model of magnetic flux leakage(MFL) based on the principle of MFL testing, proposes the effects of surface defect width and depth on MFL field, and presents the peak-peak amplitude algorithm that the features of defect signal are extracted. The peak-peak amplitude and separation, signal gradient variation are used as the distinguish criterions of defects. The principle of instrumental hardware design is also introduced. The introduced gun MFL testing instrument is successfully employed in the nondestructive evaluation of gun. Keyword: magnetic flux leakage; defect; nondestructive evaluation; peak-peak amplitude algorithm; hardware design CLC number: TG115.28;TJ306 Document code: A Article serial number:1008-0570 The parts of gun often create crack when used for a period, in order to avoid accident caused by crack, we must detect it periodically, this is very important for the safely operation and the safety of the operator. The magnetic flux leakage(MFL) detecting method is very sensitive to the crack on ferromagnetic materials, and with low cost and simple arts and crafts. So it is very widely used in the crack detection for gun. The principle of MFL non-destruction is as follows. The gun's parts is first magnetized by a magnetizer containing high-strength Nd-Fe-B(Neodymium-Iron-Boron) permanent magnets, then if there is crack on the surface of gun part, the magnetic conductance of the position with crack will be lower than usual, the magnetic resistance will be higher, and the magnetic line will be focused below the crack and magnetic field will leak out of the ferromagnetic material, then we can detect the leakage magnetic field and find the crack. With different kinds of shape of the cracks or different kinds of size, the leakage field will be different. The leakage field can be detected by Hall-effect sensor, and we can estimate the size of the crack by the leakage field gained by Hall sensor. And so we can implement the non-destructive detection for the gun. 1 The model of MFL for crack The distribution of leakage magnetic field varied with different kinds of the geometric shape of the crack, we can know from information that by statistical almost all of the shape of crack are V-shape, so we adopt the V-shape crack model to study the leakage field and try to find the connection between the crack size to leakage magnetic field. It is non-linearity for the magnetization of the parts of the gun's material, so, in order to simplif

Poly(ionic liquid)s hollow spheres nanoreactor for enhanced cyclohexane catalytic oxidation

Hollow structure nanoreactors take advantage of catalyst loading and enhanced activity by shell construction. In this work, functionalized poly(ionic liquid)s (PILs) with hollow spherical structures were synthesized by polymerization-and quaternization-based approaches. These hollow structure PILs (HPILs) could be controllable designed from IL monomer easily, giving HPILs various properties. In the subsequent selective oxidation of cyclohexane, the HPILs acting as nanoreactors could efficiently improve the activity of metal salt catalysts (CoCl2) and displayed adjustable selectivity for cyclohexanone, cyclohexanol (KA) or adipic acid (AA) by different types of HPILs. In kinetic study, it follows first-order reaction kinetics which CoCl2/HPIL-C12 had a lower the activation energy of 29.1 kJ/mol. Importantly, these nanoreactors storing the catalysts could be recovered and reused more than 7 times without significant loss of activity. A theoretical model for the hollow spherical reactor was further established to support the advance of the HPILs reactor, which could also help to predict reaction process in other core-shell catalytic system. Due to controlled substrate transfer and enhanced radical generation in HPILs, the reaction process could be adjusted to enhance the conversion of cyclohexane and selective oxidation to AA. (C) 2022 Published by Elsevier Inc

Poly(ionic liquid)s hollow spheres nanoreactor for enhanced cyclohexane catalytic oxidation

Hollow structure nanoreactors take advantage of catalyst loading and enhanced activity by shell construction. In this work, functionalized poly(ionic liquid)s (PILs) with hollow spherical structures were synthesized by polymerization-and quaternization-based approaches. These hollow structure PILs (HPILs) could be controllable designed from IL monomer easily, giving HPILs various properties. In the subsequent selective oxidation of cyclohexane, the HPILs acting as nanoreactors could efficiently improve the activity of metal salt catalysts (CoCl2) and displayed adjustable selectivity for cyclohexanone, cyclohexanol (KA) or adipic acid (AA) by different types of HPILs. In kinetic study, it follows first-order reaction kinetics which CoCl2/HPIL-C12 had a lower the activation energy of 29.1 kJ/mol. Importantly, these nanoreactors storing the catalysts could be recovered and reused more than 7 times without significant loss of activity. A theoretical model for the hollow spherical reactor was further established to support the advance of the HPILs reactor, which could also help to predict reaction process in other core-shell catalytic system. Due to controlled substrate transfer and enhanced radical generation in HPILs, the reaction process could be adjusted to enhance the conversion of cyclohexane and selective oxidation to AA. (C) 2022 Published by Elsevier Inc