High school English homework design from the perspective of unit whole teaching -- Taking Unit 3 Family Matters as an example for Foreign Graduate Edition (2019)

The assignment design under the whole teaching vision of unit has the characteristics of situation, relevance, cooperation, integration and evaluation. Based on the case, this paper proposes to determine the performance evaluation task according to the analysis of unit content; Design class assignments, docking performance evaluation tasks; Determine the evaluation plan and evaluate the class work tasks in three steps to design high school English homework

Research on data distribution and load balancing scheduling framework in cloud environment based on fuzzy logic concept

Framework based on fuzzy logic concept is proposed to solve the problem of data distribution and load balancing scheduling in cloud environment. The framework comprehensively considers the system load, data access mode and node resources, aiming at the balanced distribution of data and the reasonable scheduling of load. By fuzzy processing the resource status information in the cloud environment, the advantage of fuzzy logic can refl ect the actual situation more accurately. At the same time, considering the size, type and access frequency of data and other factors, the data is distributed to diff erent server nodes to achieve the balance of data distribution. Based on the load balancing algorithm, the task allocation strategy is dynamically adjusted according to the resource status information and task load of each server node to improve the performance and reliability of the system. The eff ectiveness and superiority of the framework in the cloud environment are proved by the experimental evaluation. This research has practical signifi cance and application value for data management and load scheduling in cloud environment

Research on Active Balance Control Strategy for Electric Vehicle Power Battery Pack

The battery pack of a pure electric vehicle is composed of multiple battery cells connected in series and parallel, and in the process of battery charging and discharging and long-term use, it will cause an imbalance between the battery cells or battery packs, which affects the capacity utilization and service life of the battery. This paper analyzes the electric vehicle lithium-ion battery pack as a study of equalization control, and analyzes the equalization variables used for the battery pack, the battery model, the external characteristics of the battery, and the SOC estimation based on the extended Kalman filter algorithm. The SOC is used as the equalization variable, so that all the battery cells are basically at the same charging and discharging depth, which makes full use of the power of the battery pack, and improves the safety performance of the battery pack when it is working, and an equalization control simulation model is constructed in Matlab/Simulink software, and the equalization method and the system of this paper for the battery cluster are simulated and researched

Study on the Design Method of Cartoon Character Modeling Based on Evolutionary Computation

The animation industry is in a relatively advanced development state among emerging industries in China. Due to the excellent expression of anime character images and their ability to fully express the theme ideas through language, expressions, music, and other means, they have received good evaluations. However, in 3D anime design, the aesthetics and quality of cartoon character designs will directly aff ect the artistic expression of the work. Therefore, this article fi rst outlines the background of cartoon character design in anime, and on this basis, proposes the use of evolutionary calculus methods to design the evolutionary generation and styling of cartoon character components. Through experiments, it has been shown that the method of evolutionary computation is benefi cial for improving the design speed of cartoon character designs and greatly reducing the workload of designers

Intelligent Recognition of Laser Welding Deviation Based on Improved Neural Networks

Laser welding technology has become one of the most commonly used high-precision welding methods in the field of modern industrial manufacturing, but there are deviations in the laser welding process, such as uneven weld seams and positional shifts, etc., which will directly affect the quality and performance of the welded joints. Therefore, accurately identifying and timely correcting these laser welding deviations is crucial to ensure welding quality and improve productivity. The aim of this study is to realize the intelligent identification of laser welding deviations based on an improved neural network approach

Application research of mechatronics technology in intelligent manufacturing

With the vigorous development of intelligent manufacturing in China, the manufacturing industry, especially the cigarette label gift box packaging, also ushered in a new development opportunity, and mechatronic integration technology can be said to be an important battlefi eld of artifi cial replacement automation of gift box, which has brought new development opportunities for the fi eld of intelligent manufacturing. This paper briefl y expounds the concept of intelligent manufacturing and mechatronics technology, and analyzes the advantages of mechatronics technology in intelligent manufacturing of gift box packaging. By analyzing the specifi c application of mechatronics technology in the fi eld of intelligent manufacturing in automatic detection and quality control technology, automatic logistics and warehousing technology, automatic assembly and disassembly technology in the industry, it aims to promote the rapid development of cigarette label packaging industry to automation and intelligence, and promote the further prosperity of the economy

Design of fl uid pipeline leakage signal acquisition system

Fluid, namely liquid and gas, is a necessary resource in national production and life, so fl uid plays a pivotal role in the progress of the whole society and the development of human civilization. If the fl uid leaks, and is not found and treated in time, it will cause huge material losses and waste of resources, what is more, it will cause irreversible environmental damage. This paper takes fl uid pipeline leakage detection as the main research object, the main research is as follows: According to the steady-state pipeline as the main analysis goal, C8051F040 single chip microcomputer as the main processor, DS18B20 temperature sensor, CEMPX221 pressure sensor, LWGY-C model turbine fl owmeter for data acquisition, and the collected data through the CAN interface, RS485 interface to the host computer

An intelligent control method based on artifi cial neural network model

The topology structure of the artifi cial neural network is an intelligent control model, which is used for intelligent vehicle control system and household sweeping robot. When setting the intelligent control system, the connection point of each network is regarded as a neuron in the nervous system, and each connection point has input and output functions. Only when the input of nodes reaches a certain threshold can the output function of nodes be stimulated. Using the networking mode of artifi cial neural network model, the mobile node can output in multiple directions. If the input direction of a certain path is the same as that of other nodes, it can choose to avoid and choose another path. The weighted value of each path between nodes is diff erent, which means that the infl uence of the front node on the current node is diff erent. The control method based on artifi cial neural network model can be applied to vehicle control, household sweeping machine and other fi elds, and a relatively optimized scheme can be obtained from the aspect of time and energy consumption

Discussion on application of artificial intelligence robot in fire prevention and rescue

With the development of science and technology and the progress of society, fi re has become a common and serious disaster. The traditional means of fi re prevention and rescue in some cases have a certain degree of limitations, therefore, the application of artifi cial intelligence robot in fire prevention and rescue has attracted much attention. Artificial intelligence robot has the ability of autonomous perception, decision-making and execution, which can eff ectively deal with fi re accidents and provide new solutions for fi re prevention and control. The purpose of this paper is to systematically discuss the application of artifi cial intelligence robot in fi re prevention and rescue, analyze the robot’s perception ability, decision-making ability and execution effect in the fire scene, and put forward the methods and suggestions to solve the relevant problems. Its signifi cance is to provide new ideas and technical support for fi re prevention and control work, improve the effi ciency and safety of fi re prevention and rescue

The application of CNC laser engraving technology in the porcelain base style

The progress of science and technology also promotes the progress of art, the birth of new technology at the same time promotes the progress and development of art, the two complement each other. It only occupies a small part of the whole development history of ceramics, but as a witness of the historical development of ceramics, it has witnessed the development of ceramics. With the development of The Times, all kinds of innovative significance of the bottom of the emergence, the emergence of CNC carving technology, also changed the production of ceramic bottom, to a certain extent to broaden the development space of ceramic art