By determining the parameters of the ARIMA model, the prediction model of the number of Chinese domestic tourists is established to provide a reference for the prediction of the number of future tourism in China. First of all, the number of domestic tourists from 1994 to 2015 is selected as the training data to judge whether the time series is stable. Otherwise，the stationary processing will be carried out. Then the model parameters are determined and the prediction model is established. Finally, the number of domestic tourists from 2016 to 2018 is predicted according to the established ARIMA model. Experiments show that ARIMA model can predict the number of domestic tourists well.

For the problem of image quality degradation obtained from multiple haze days, the defogging and restoration technology of degraded images in fog has attracted extensive attention. On the premise of fully analyzing the image characteristics of fog, the application of dark channel prior algorithm in image defogging is studied, and the simulation verification is realized with the help of Matlab platform. Firstly, the collected foggy images are loaded into the system, and then the dark channel prior algorithm is used to process the images. The experimental results show that this method has better fog removal effect and clearer image, but also enhances the detail information and improves the utilization value of the image.

Based on the analysis of the characteristics of traditional switching power supply, a design of stabilized voltage switching power supply based on TL494 is proposed. The design improves the traditional BUCK circuit and alleviates the contradiction between efficiency and ripple. Two improvements are adopted in the design: switch tube instead of continuous current diode, and multiple filter capacitors in parallel instead of a single filter capacitor. Through testing, the ripple coefficient can be reduced to 1.6% when the power supply efficiency is more than 85%. In addition, the design also has the function of over-current protection and load identification.

The scheme realizes the extraction of bit synchronization clock based on FPGA under the condition of analyzing signal transmission in simulation channel. Among them, the shaping circuit uses hysteresis comparator to improve the anti-interference ability of the system. The average design of high and low level counting solves the problem of different widths ofhigh and low level caused by the front circuit and improves the accuracy and stability of clock extraction. Through measurement, the error of the extracted bit synchronization clock is less than 1%, and its jitter is less than 10% of a bit synchronization cycle.

Many provinces in China have implemented the ‘Double teacher teaching’ mode. Due to geographical differences, various problems will arise during the process of ‘Double teacher teaching’ mode. In this study, the author takes YulongNaxi minority autonomous county of Lijiang city for example. Based on the cause analysis, the paper puts forward some suggestions.

The system mainly consisted of coordinator nodes, router nodes and data acquisition node. The Data acquisition node used distributed self-organizing network structure, it accomplishedthe detection of water temperature, pH value, dissolved oxygen, conductivity and other water quality parameters ; the router nodesaccomplished the wireless transmission of water quality parameters and the command data,it can alarm with the abnormal state; the coordination nodesaccomplished the data processing, storage and analysis through the human-computer interaction community face , and realized remote monitoring and control of aquaculture water quality.The synchronization of the whole network node to sleep and wake up was realized using the time synchronization algorithm, it greatly reduced the system power consumption.

As an important part of the implementation of the digital rural revitalization strategy, the construction of agricultural Internet of Things is in full swing in Zhejiang Province. By doing field research and collecting data, this paper deeply studies the typical cases of the construction of the agricultural Internet of Things in Hangzhou, Jiaxing and Taizhou. Then this paper sums up the valuable experience of these cities in the construction of agricultural Internet of Things, and comes up with three problems in the construction process, which aims at enlightening the post-development city of agricultural Internet of Things in Zhejiang Province.

Cloud computing is a huge system, and its size and complexity determine the difficulty degree to solve cloud computing security problems. Security management of cloud platforms is a complex combination of technology, regulations and behavior. The overall connectivity of the cloud computing environment and the integrity of the data at all levels need to take into account the typical characteristics of the network, systems, applications, users and other factors, and the solutions can be combined and integrated to protect the security of the cloud platform. This paper focuses on the cloud computing virtualization platform, researches on the security baseline configuration and verification method based on cloud computing virtualization platform, and designs the cloud platform security baseline automatic verification technology. On this basis, the security management method for cloud platform component security baseline configuration is proposed to reduce the security risks caused by improper configuration of components in the cloud computing virtualization platform and ensure the safe and stable operation of the cloud platform system.

Local universities should combine the training plans and requirements of their own majors, create a talent cultivation framework that can be continuously improved, so as to meet the training tasks of application-oriented talents required by the society. Subject competition is a group scientific and technological activity for college students. Computer science majors can expand their professional vision, improve their professional practice ability, strengthen their logic, professional thinking, innovative consciousness, interpersonal communication and cooperation ability by participating in the competition. Competition can also further stimulate students' motivation for deeper learning.

In order to adapt to the requirements of college students' employment service in the new era, under the LeanCloud cloud service platform, a college student precise employment service system is researched and designed based on Scrapy web crawler technology and intelligent recommendation algorithm. The system can realize the intelligent recommendation of jobs according to the job search intention of graduates. Experiments show that the system can effectively meet the personalized employment needs of graduates, improve the recruitment efficiency of enterprises, and promote the level of precision employment service in schools.

"Craftsman's spirit" is a spiritual concept that pursues excellence and perfection. The goal of training talents in electronic specialty is to cultivate high-quality technical talents with all-round development of morality, intelligence, physical integrity, and good professional skills and qualities. In order to achieve this goal, the author puts forward that the "craftsman spirit" is integrated into the whole process of electronic professional construction, especially it has important theoretical and practical significance for the reform of the core curriculum of electronic professional.

Taking the innovation and entrepreneurship system reform strategy of medical information engineering specialty in the era of "Internet+" as the research purpose, firstly, the necessity of innovation and entrepreneurship system reform of medical information engineering specialty is expounded. Secondly, the problems encountered in the reform process of medical information engineering specialty innovation and entrepreneurship system are analyzed. Finally, the reform strategy is put forward aiming at the existing problems and facing the "Internet +". With the development of the times, the medical information engineering specialty can keep pace with the development of the times, to cultivate innovative and entrepreneurship talents and provide a perfect platform for innovation and entrepreneurship.

This paper based on Proteus’s Virtual System Modelling (VSM) Virtual Terminal, designed a new embedded C language learning device for AT89S51 microcontroller, and verified by C language classic program. The results of experimental proved the device can provided a new way for learn embedded C language.

The management of teaching materials is an important part of the teaching process in colleges and universities. At present, the management of textbooks in colleges and universities still has the problem of informatization and low automation. Even though the teaching material management software has been promoted, there is still no real information sharing platform. So it is of great practical significance to research and develop the teaching material management system of colleges and universities based on network technology. This paper explores the design and implementation of textbook management system by analyzing the needs of college, aiming to provide some reference for textbook management in colleges and universities.

As the ancient saying goes, history acts as a mirror. Drawing lessons from historical and empirical experience can make changes and prejudgment to the futuristic situation. A similar time sequence problem, which is related to trend prediction and trend analysis through historical data, can also happen in our modern life. This article is a research on time sequence related issues, a research on how to analyze and predict the futuristic change trend through historical statistical data. Based on neural network technology, by taking meteorological observation data as a research object, this article establishes an air temperature change time sequence prediction model. This mod-elling carries on characteristic processing on historical data through big data technology and learns complex nonlinear relationship between characteristic data and tag data through deep neural network automatically. Thus, an air temperature change trend prediction can be achieved. The experimental results show that the model mentioned above has more advantages than other model on time sequence prediction, which proves the feasibility of neural networks in meteorological prediction.

Learning from《Sydney Agreement》, we describe the talent cultivation standard for students majoring in software technology in seven aspects. In every aspect, targets are set in one or two layers and are attached to a contribution rate to the target in the upper layer. The bottom targets are achieved by taking several courses. Course diagnosis and improvement is designed and implemented based on specific target completion rates.

With the development of China's economy and the improvement of science and technology level, the development of computer technology has been promoted, and computer technology can be seen everywhere in all walks of life, which provides many convenient conditions for our life and production. As a result, colleges and universities have increased the professional courses related to computer technology, and hope to train students to adapt to the social development of professional talents. But in this process, many colleges and universities have gradually lost the characteristics of professional teaching, resulting in many deficiencies in the construction of computer science. Therefore, this paper discusses on the practice of computer science and technology specialty construction, hoping to provide reference for relevant practitioners.

Aiming at the goal of engineering certification, this paper discusses on the practical teaching of Computer Composition Principle, the core course of computer specialty in applied undergraduate colleges. The teaching plan is designed from the aspects of experimental teaching platform, teaching content and students' performance evaluation.

通过Java调用OpenCV视觉库实现几何图像颜色、形状识别。将图像转化为HSV颜色空间，按各颜色H、S、V的取值范围分割图像，对分割图像进行滤波处理、灰度处理、二值化、轮廓提取、去除干扰轮廓、轮廓形状拟合、获取轮廓凸点个数、用凸点距离判断形状，从而实现对各种颜色的三角形、圆、矩形、正方形、多边形等几何图像颜色、形状的识别。该方法可应用于现实生活中，例如识别交通信号灯和信号转向灯等有颜色和形状识别的领域。

Photoshop is the basic image processing software in graphic design. Understanding the color pattern and application skills of Photoshop can not only help graphic designers improve their work efficiency, but also better show the creativity of graphic works. Therefore, this paper takes Photoshop color adjustment as the research object, introduces Photoshop color mode, and makes a simple analysis of advanced techniques of color adjustment in Photoshop from several modules, such as color order command adjustment, curve command adjustment, hue/saturation command adjustment and so on.