Research on the application of artificial intelligence in the computer network technology

As the product of the mutual infiltration of the various disciplines such as the control theory, information theory, system theory, computer science, physiology, psychology, mathematics, philosophy and so on, the research field of the theory and application of artificial intelligence technology covers almost all the areas of human activity. In recent years, the rapid development of computer network technology produces and drives a batch of new scientific research fields. Among them, the application of artificial intelligence in the computer network technology is a hot topic which is academically and technically strong and can bring obvious economic benefit.

Research on the application of the data mining technology in the electronic commerce network marketing

With the rapid development of China＇s reform and opening up and the socialist market economy, the development of Internet technology has promoted the prosperity of e-commerce, and further promoted the rapid development of China＇s economy. Data mining technology is an advanced science and technology, which has important implications for the e-commerce data processing. Through the summary of the data mining technology, this article puts forward the application of data mining technology in electronic commerce, in order to better promote the development of electronic commerce.

Preparation and properties of nano-CeO_2/Zn composites

The nano-composite powders of CeO2/Zn were prepared with high energy ball milling and the nano-composite materials of CeO2/Zn were fabricated with vacuum sintering powder metallurgy. Meanwhile,the composite and structure were analyzed by the means of XRD and FESEM. From the comparison of different nano-CeO2 contents composites,the best corrosion resistance and hardness,and the optimum content of nano-CeO2 were achieved. The result shows that corrosion resistance,hardness and uniformity of metal structure can be improved significantly with nano-CeO2;at the same time,the optimal corrosion resistance,hardness and microstructure are obtained when the mass fraction of nano-CeO2 is 1%.

Tribological behavior of Ni-Cr-based composite at high temperatures

The wear behavior of Ni-Cr-based alloys was investigated at ambient and elevated temperatures. The wear samples were prepared by metallurgical hot pressing. Wear tests were carried out on a general purpose wear testing machine having a heating unit and pin-disc sample configuration. The counterface material was prepared from Al2O3 ceramics. The tests were carried out at room temperature(RT),200 ℃ and 600 ℃. The effects of temperatures on the tribological properties were determined by using optical microscopy,and X-ray diffractometry. The results show that at room temperature the worn surfaces of the alloys are characterized by mild scuffing and micro cracks,the action of nano-crystal structural wear debris on the worn surfaces is responsible for the reduction of friction. At 200 ℃,the friction coefficient is the highest. The worn surfaces of the alloys are adhesive and oxidative. At 600 ℃,the friction coefficient is reduced due to the effect of the oxides,tungstates and sulfides residue on the worn surface.

Stress Intensity of Antiplane Conjugate Cracks in Cubic Quasicrystal

Based on the theory of Muskhelishvili, the general solutions for stress and strain of conjugate cracks in cubic quasicrystal are obtained, with which the stress intensity factors of cubic quasicrystal at crack tips and the stress distribution functions of phonon and phason fields are given. The results show that though phason field is coupled with phonon field by constitutive equations, the stress intensity factors are not coupled with any other factors.

Sensor Fault Diagnosis Observer Design for Linear Sampled-Data Descriptor System with Time-Vary Delay

In this paper, a robust sensor fault diagnosis observer with non-singular structure is proposed for a class of linear sampled-data descriptor system with state time-vary delay. Firstly, a sampled-data descriptor model with time-vary delay is proposed and transformed into a discrete-time non-singular one. Then, a robust sensor fault diagnosis observer is proposed based on the state estimation error and the measurement residual, this observer can guarantee the robustness of the residual against the augmented disturbance and the sensor fault, which means the H∞ performance index is satisfied. As the confining matrix of the designed observer parameters does not meet the Linear Matrix Inequality (LMI), a cone complementary linearization (CCL) algorithm is proposed to solve this problem. The decision logic of the residual is obtained by the residual evaluation function. Simulation results show the effectiveness of the method.

Recent advances in g-C_(3)N_(4)-based direct Z-scheme photocatalysts for environmental and energy applications

In the midst of the rapid advancement of photocatalysis,direct Z-scheme heterojunction photocatalysts have emerged as a powerful solution to address environmental challenges and the looming energy crisis.The precise engineering of direct Z-scheme heterojunction photocatalysts proves highly beneficial in optimizing their elec-tronic structure,ultimately enhancing their photocatalytic performance.Notably,graphitic carbon nitride(g-C_(3)N_(4))has recently gained recognition as a leading candidate for the creation of direct Z-scheme heterojunctions,owing to its favorable attributes such as a moderate band-gap(2.7 eV),high reduction potential and abundant active sites.In this review,we offer a concise overview of the fundamental principles and recent advancements in g-C_(3)N_(4)-based direct Z-scheme photocatalytic systems.Furthermore,we delve into the various practical applica-tions of g-C_(3)N_(4)-based direct Z-scheme photocatalysts,specifically in the realms of energy conversion and envi-ronmental remediation.These applications include the removal of contaminant pollutants through photocatalytic degradation,water splitting(comprising H_(2)-generation,O_(2)-evolution,and overall water splitting),and CO_(2)reduction.Additionally,we present comprehensive characterization methods and strategies aimed at further enhancing the photocatalytic activity of g-C_(3)N_(4)-based direct Z-scheme photocatalytic systems.To conclude,this review offers summarizing insights and a brief discussion on future challenges and prospects pertaining to g-C_(3)N_(4)-based direct Z-scheme photocatalysts.We believe that this review will inspire continued exploration and foster a deeper understanding of the groundbreaking possibilities within photocatalytic activity.This also provides valuable guidance for the design and construction of innovative direct Z-scheme photocatalysts.

Predictive Zone Control of Pressure Management for Water Supply Network Systems

In this paper we address the problem of pressure management in water supply system （WSS） network. The model-based predictive control （MPC） strategies have some important features to deal with WSS. By hydraulic analysis of WSS, the predictive model is derived from the dynamic model and static model of WSS. Through WSS, the consumers＇ demands are required to be met at all times according to some operational constraints that must be satisfied. The constraints of flow through actuators, the water level of reservoirs and the consumer areas＇ pressure demand are determined by a specific system. In this work, we develop a constrained MPC controller that considers the zone control of the pressure outputs and incorporates steady state economic targets in the control cost function. The designed management strategies are applied to a case study and simulation results, covering different aspects, are provided. The output nodal pressure can be controlled in the desired zone by optimal scheduling the actuators of the WSS. If the variation range of reservoir＇s water level is broader, the rate of flow through the actuators is gentle, and vice versa.