Research on anti-flutter processing of aeroengine casing

<p>Due to the thin and rigid wall of aeroengine casing, it is easy to reduce the machining accuracy due to the vibration of machine tools and cutting tools. Therefore, this paper designed an auxiliary fixture that can suppress such vibration.According to the vibration absorption principle of the tuned mass damper, this fixture is designed to transfer the vibration energy of the casing to the auxiliary fixture so as to reduce the vibration of the casing itself.According to Ansysworkbench analysis, this fixture can significantly reduce the vibration of the casing.The results show that the maximum vibration amplitude of the casing is reduced by 60%, and the average vibration amplitude is also significantly reduced.The auxiliary fixture has many advantages such as simple installation, simple disassembly and installation, strong expansibility and so on.</p>

Junction Temperature Consistency Analysis of MMC Submodule

<p> Although modular multilevel converter<span style="font-family: 宋体;">（</span><span style="font-family: 'Times New Roman';">MMC</span><span style="font-family: 宋体;">）</span><span style="font-family: 'Times New Roman';">is widely used in the field of DC power transmission due to its</span></p><p>excellent topology performance, the natural DC bias characteristics cause thermal imbalance of internal devices. Too high temperature at the junction of power devices is one of the major causes of damage. Therefore, it is necessary to investigate the factors that affect the device junction temperature. Combining with the thermal resistance model, the junction temperature under two typical modulation strategies <span style="font-family: 'Times New Roman';">is compared, </span>and the power loss and junction temperature are calculated.</p>

Analysis on Design and Optimization Measures of Automobile Electronic and Electrical Architecture

<p>With the development of society and economy, automobile ha<span style="font-family: 'Times New Roman';">s</span> become an indispensable means of transportation for people’s daily life and work. It has become the key development goal of automobile industry to improve the performance of automobiles and providing people with a safe and comfortable riding environment. This paper takes the electronic and electrical structure and optimization measures of automobile as the research object, and provides reference for automobile development by studying the electronic and electrical structure and optimization process.</p>

Research on Identification Algorithm of Fragile Nodes: Based on Static and Dynamic Combination of Uncertainty in New Energy

<p>In this work, <span style="font-family: 'Times New Roman';">t</span>aking the coupled 54-node power distribution system and 25-node power flow system as examples, the effectiveness of this method is verified. In addition, a multi-objective ADN joint planning model is established by means of Wasserstein distance measurement and K-medoid scenario analysis. The location, size RES, BESS and expansion schemes of distribution network based on this model are analyzed in detail, in order to provide scientific, reliable, and cost-maximized EVCS’s charging service capabilities. More importantly, we propose a multi-objective optimization algorithm−MONAA algorithm to solve the model.</p>

Probe into the Development Potentiality of Chinese Electric Power

<p>After 70 years of development, especially <span style="font-family: 'Times New Roman';">after</span> the 18th National Congress of the CPC, the development of China’s electric power industry has entered a critical stage of transformation, adjustment and transformation. The high quality development of electric power industry is a kind of development that reflects the new development concept, which must be realized through qualitative change, efficiency change and power change. The core of high-quality development in the power industry is to improve efficiency. Reform, open and innovation are the core of efficiency. China’s power industry high-quality development of opportunities and challenges coexist. People’s desire for a better life, continuous improvement of electrification levels, clean use of coal, energy conversion, multi-energy complementarity, market reform of the power system, “Belt and Road Initiative” and electric heating for electric vehicles are among the policies for power and other energy alternatives in China. T<span style="font-family: 'Times New Roman';">here is a</span> great opportunity for industrial development. However, it is also faced with the pressure <span style="font-family: 'Times New Roman';">from the </span>large-scale clean transformation, <span style="font-family: 'Times New Roman';">and </span>the efficiency of the power system is not high enough<span style="font-family: 'Times New Roman';">. T</span>he power cost is not low, and the system mechanism is not perfect. Therefore, we must seize the historical opportunity of energy transformation to establish a high-quality green power system. We will deepen the reform of the electricity market and improve the systems and mechanisms for high-quality development of the power industry<span style="font-family: 'Times New Roman';">, to s</span>olve all kinds of contradictions in the development of electric power industry scientifically.</p>

Saliency Contour Extraction Based on Multi-level Feature Channel Optimization Coding

<p>A biomimetic vision computing model based on multi-level feature channel optimization coding is proposed and applied to image contour detection, combining the end-to-end detection method of full convolutional neural network and the traditional contour detection method based on biological vision mechanism. Considering the effectiveness of the Gabor filter in perceiving the scale and direction of the image target, the Gabor filter is introduced to simulate the multi-level feature response on the visual path. The optimal scale and direction of the Gabor filter are obtained based on the similarity index, and they are used as the frequency separation parameter of the NSCT transform. The contour sub-image obtained by the NSCT transform is combined with the original image for feature enhancement and fusion to realize the primary contour response. The low-dimensional and low-redundancy primary contour response is used as the input sample of the network model to relieve network pressure and reduce computational complexity. A fully improved convolutional neural network model is constructed for multi-scale training, through feature encoder to feature decoder, to achieve end-to-end pixel prediction, and obtain a complete and continuous detection image of the subject contour. Using the BSDS500 atlas as the experimental sample, the average accuracy index is 0.85, which runs on the device CPU at a detection rate of 20+ FPS to achieve a good balance between training efficiency and detection effect.</p>

Application of GIS, GPS, Remote Sensing Technologies and Virtual Reality in Environmental Planning

<span lang="EN-US">Environmental planning is a systematic work with large-scale issues and big difficulties. This article briefly discusses GIS, GPS, remote sensing technologies (3S technologies) and virtual reality (VR), and verifies that these technologies can provide assistance for environmental planning. On this basis, this article focuses on the application of 3S technologies and VR in environmental planning, such as point processing, line processing and surface processing, constructing geometric virtual environment and image virtual environment. In order to maximize roles of these technologies, advantages, scientificity and rationality of environmental planning should be enhanced to create ideal space for social and economic development.</span>

Design of Video Teaching System Based on Virtual Reality Technology

<p>With the progress of the times and the development of network technology, great changes have taken place in the mode of education and teaching, and the traditional mode of education and teaching has been unable to meet the current teaching situation and requirements. Under this background, many scholars have developed a variety of teaching models adapted to the background of the times, which has achieved good results. In order to realize the reform and innovation of teaching mode, this paper designs a film and television teaching system based on virtual reality technology. In the era of Internet of Things and big data, Internet of Things technology is used as support to realize the transmission and sharing of teaching information in film and television teaching system. In the research, data mining technology is used to collect relevant data of teaching resources and teaching information, and relevant algorithms in data mining are used to realize data processing. Experiment of film and television teaching system in different stages of education system and the application of film and television teaching theory courses, experiment courses for students and education development index are analyzed. According to the end of the experiment, the influence of results show that the film and television teaching system in the use of elementary school, junior high school, high school and university level are 25.32%, 31.44%, 18.46% and 47.76% respectively. The film and television teaching system plays a significant role in students’ experimental course scores. The use of the film and television teaching system has raised the development index of education and teaching in each stage of education from 1.12, 1.33, 1.47 and 1.36 to 2.14, 2.21, 2.36 and 2.44 respectively, indicating that the film and television teaching system has a certain promoting effect on the development of education and teaching.</p>

The Continuity of Fuzzy Metric Spaces

<p>In the present paper, the definitions of a fuzzy continuous function and uniformly fuzzy continuous are introduced. we prove that a function from a fuzzy metric space ( ) into a fuzzy metric space ( ) is fuzzy continuous if and only if for every fuzzy open subset of , is fuzzy open in . Also the composition function of two uniformly fuzzy continuous functions is proved to be a uniformly fuzzy continuous function.</p>

A Review of Intrusion Detection Technology Based on Deep Rein-forcement Learning

<p>With the rapid development of modern science and technology, all kinds of network attacks are updated constantly. Therefore, the traditional network security defense mechanism needs to be further improved. Through extensive investigation, this paper presents the latest work of network intrusion detection technology based on deep learning. Firstly, this paper introduces the related concepts of network intrusion detection technology. On this basis, we further evaluate the performance of three common deep learning models in intrusion detection, and conclude that DBN algorithm has some strong advantages. Afterwards, it also puts forward several improvement strategies of intrusion detection models.</p>