This paper analyzes and studies the cash register service system of Vanguard Suguo supermarket in Tianjiaan District of Huainan City. Through the collection, calculation and analysis of data, the queuing theory and data model are combined to analyze. The queuing model of supermarket cash register system is established, the number of cash register is arranged reasonably, the work efficiency and customer satisfaction of supermarket are improved effectively, and the operating cost of supermarket is reduced. It is proved that queuing theory has practical application in the optimization of supermarket service system.

In this paper, the fitting method of cylindrical mirror with rectangular aperture is studied. The extended Zernike polynomial and Chebyshev polynomial in rectangular aperture are used as the polynomial of surface fitting respectively. The wavefront is reconstructed from the surface data. The corresponding relationship between Seidel aberration and the fitting polynomial is analyzed and compared. The Chebyshev polynomial shows the good ability of separating aberration than the extended Zernike polynomial in rectangular aperture.

Literature Information Retrieval and Utilization has the characteristics of strong practicability and wide teaching. The hardware condition of the teaching facilities in Hainan University is poor, and the traditional teaching is difficult to achieve good teaching effect. Based on the Network Integrated Teaching Platform introduced by Hainan University, the author explores the teaching reform based on the MOOC concept, introduces the "Flip Classroom" for teaching, analyzes the teaching effect, and puts forward some problems and thoughts, in order to promote the teaching reform of this course, and obtain good teaching effect and teaching quality.

According to the analysis of the shortcomings of the joint inspection of HPV-DNA viral load testing and TCT liquid thin-layer cytology technical, this paper applies computer aided diagnosis (CAD) technology to improve cervical cancer screening accuracy, and proposes a cervical lesion recognition based on random forest (RF) model. Characteristic value of cervical cell image are extracted to form the cervical cells characteristic data sets, and then to do the Bootstrap sampling, using a random sample to build a decision tree. The results of cervical cell classification are voted out, and the model is applied to cervical cancer screening. According to theoretical analysis and experimental data, compared with traditional combined examination, this method improves the performance of cervical lesion identification, and its results have certain competitiveness and advantages.

With the development of computer science, the hot spots of cloud computing and big data are constantly receiving attention from all walks of life. The field of motorcycle logistics management is no exception for it. Using cloud computing and big data technology, and the complex relationships between users, agents, manufacturers and warehousing companies, this paper implements the control of motorcycle production, warehousing scale, liquidity, logistics costs, etc. Motorcycle logistics recommendation system functions include motorcycle classification, user behavior analysis, product recommendation and performance-price analysis. It predicts the scale of motorcycle logistics, to achieve multiple win-win in production, supply, marketing and demand.

A method of improving innovative programming for computer major students in tutorial system is proposed to solve the problem that an inexorable trend to reduce the botany teaching hour. The autonomous learning platform for computer programming based on online judge system is created, which can automatically process user-submitted codes satisfactorily meets these requirements. It can improve students' programming ability, giving teaching ideas, obtaining good results in the teaching practice. The training scheme of improving innovative programming for computer major student is proposed and the new training mode of improving innovative programming for computer major students is built.

The high quality data not only provides the most effective data sources but also ensures the credibility and availability of the mining knowledge for subsequent knowledge mining. In order to ensure the effectiveness and authenticity of the knowledge of data mining based on food safety events, this paper puts forward a kind of food safety event data cleaning process based on ontology construction technology, and evaluates the data cleaning. The data used for cleaning is produced by the food safety event of Jiuguijiu plasticizer. In the specific cleaning process, the cleaning ontology of food safety event by Protégé is constructed based on the seven-step method developed by the School of Medicine of Stanford University. A feasible operation scheme for exploring the cleaning of domain-specific data is provided, and some semantic knowledge to the cleaned data is added.

Feature based matching algorithm is important in part of image registration. In view of repeated matching, many-to-one matching and low accuracy of traditional SIFT matching method, a bidirectional feature matching algorithm based on standardized euclidean distance is proposed in this paper. Firstly, the feature points are extracted by SIFT algorithm. Then the feature descriptors are measured by normalized Euclidean Distance and the feature points are matched by bidirectional feature matching algorithm. Finally, the matching pairs are purified by RANSAC algorithm. The experimental results show that the use of standardized Euclidean Distance for bidirectional matching has higher accuracy.

The development of wireless communication technology is inseparable from the construction of base station. With the updating of wireless communication, the base station will become more and more dense and close to the public. It is the primary task to resolve the misunderstanding of base station radiation. This paper analyzes the necessity of base station construction and the harmfulness of negative public opinion, provides solutions to the radiation misunderstanding of base station, and provides successful case sharing.

In this paper, data reported by the mobile terminal, including longitude and latitude, in addition to the ID of the base station are collected. Then machine learning techniques are employed to obtain the simulated coverage of the base stations, hence advoiding the waste of resources in over-construction, at the same time saving the high temporal and financial costs in on-site measuring of parameters, laying a solid foundation for efficient network construction.

This paper summarizes the basic contents of the signal processing platform for aerospace telemetry and command. It analyzes the key points of signal processing platform design for aerospace telemetry and command from the aspects of logical view, physical view, and function view. Based on this, it puts forward the countermeasures for the construction of the platform.

This paper firstly obtains 100 sets of parameters related to the behavioral characteristics of electric vehicles through investigation, and then analyzes and processes them with the idea of summarization. Then, it draws the distribution pattern of each behavioral characteristic quantity of electric vehicles. Using SPSS mathematical software, the average charging power of 100 electric vehicles is read every day in a week. Using the concept of standard error to obtain the mean value of the population, we can generalize the conclusions in this paper.

In order to improve the efficiency and accuracy of pavement crack detection, the enhanced convolution neural network is introduced into the recognition of pavement crack image. First, the original image is preprocessed by linear gray transformation to reduce the influence of noise on recognition. After several steps, such as structure design, algorithm training and experimental sample testing, the pavement crack identification model is established. Finally, through the experiments in MATLAB, the recognition model can effectively identify the pavement cracks, and the recognition rate can reach 92.8%. Experimental results show that compared with other algorithms, the algorithm proposed in this paper has the advantages of high efficiency, accurate results, and can meet the engineering needs.

Drug safety is directly related to the life and health of patients. The state has issued stringent crackdown measures, but the problem of counterfeit drugs is still emerging. One of the main reasons is the lack of appropriate technical means for anti-counterfeiting management of drugs. Based on the trusted two-dimensional code, combined with the actual circulation process of drugs, this paper provides a safe and credible anti-counterfeiting system for drugs, realizing the legitimacy certification of manufacturers, distributors and drugs, and solving the problems of anti-counterfeiting of drugs.

In recent years, the campus network speed is too slow, affecting the efficiency of students' selection of courses. At the same time, the performance of Internet cafes is gradually declining. In order to achieve a win-win situation for Internet cafes and students, it is imperative to develop an Internet cafe online selection system. This article is based on the Android development platform, using the Java programming language to develop the Internet cafe online selection APP, while using MySQL to provide powerful back-end database support.

With the improvement of the national economy, the car ownership has shown a rapid growth trend. The development of static traffic, such as three-dimensional parking and intelligent parking, has become the most important part of people's livelihood construction. In recent years, the design and management of large and medium parking lots in some cities in China are becoming more and more intelligent. However, there are still some typical problems in the development of intelligent parking lots, such as the lack of detailed guidance information in parking lots, the low efficiency of access to parking lots, the expanding scale of parking lots and the increasing difficulty of finding cars. Therefore, the development of intelligent parking system to achieve information sharing and collaboration with the existing vehicle and driver management system and other business systems has important practical significance for solving the bottleneck problems such as "parking difficulties, slow car search" and promoting the rapid development of static traffic.

Railway track line parameters directly affect operation safety and passenger comfort. At present, track inspection trolleys are widely used in high-speed railway track construction, operation, and maintenance. This paper summarizeS the operation of track inspection trolleys in high-speed railway track inspection, based on the accuracy tests and fine-tuning practices on trolleys from the Guangzhou South High-speed Railway. We ran the tests and practices in the construction of the Chengdu to Chongqing Express Railway and the Chengdu to Guiyang High-speed Railway. This paper also proposes guidelines for railway measuring technology, the working theory of track inspection trolleys, operation process, and attention points of railway construction.

In daily life and work, family and work security, unit files, financial statements, and some personal data are mostly kept in a locked way. The coded lock consists of five parts: cryptographic setting circuit, transmitting circuit, decoding circuit, display circuit and power supply circuit. In the coded lock, by inputting the correct password, the NE555 circuit can work normally. After decoding by the decoding circuit, the electric relay closes and the LED lightens; if the password is incorrect, the LED cannot shine. This design can achieve the safety prevention well.

The home service robot studied in this paper is mainly composed of single chip microcomputer control system, moving obstacle avoidance system, sensor network system, GPRS communication system, scavenging system, information display system, etc. Combined with software programming, GPRS communication, detection of environmental information (temperature and humidity), automatic garbage cleaning, environmental quality optimization (intelligent disinfection) and other functions can be realized. It makes the environment cleaner, more intelligent and automatic. It is an innovative, environmentally friendly, economical and versatile home service robot.

Fine-grained Image recognition is a difficult problem for computer vision area, and it is also a challenge for big data and artificial intelligence. In order to solve this problem, an object localization method based on bilinear convolutional network is proposed. The bilinear convolutional network is used to obtain different features of VGG network, and the intersection set is used as the localization framework. In order to verify the feasibility of this paper, the proposed method is simulated on CUB-200-2011 and Stanford Cars-196. The simulation result shows the accuracy of the proposed method is higher than other representative methods. After adding the Softmax classier, this proposed method improved largely compared with the primitive image as the input.

Artificial intelligence has enormous potential for deep learning and emotional ethical recognition, which has brought about a fundamental crisis of survival and subversive shocks to human beings. However, due to the lack of regulatory technology, regulatory laws, and lags in mechanisms, it is impossible to cope with the rapid development of artificial intelligence in the future. Therefore, this paper adds self-regulation (intelligent governance) of artificial intelligence to the traditional defensive supervision of behavioral regulation and technical supervision. At the same time, at the technical level, artificial intelligence should be able to identify emotions autonomously and establish a fair, transparent, accountable “procedural ethics” algorithm supervision. Under the guidance of supervision, a unified industry standard and its own supervision system should be established. In this way, the security risks and the regulatory challenges caused by the artificial intelligence can be handled properly and human development concerns can be eliminated.

Based on the connotation of new engineering construction and facing the new technology, this paper promotes the cross-discipline and upgrade of traditional network engineering specialty construction, constructs curriculum system and teaching content with the idea of output-based education, and meets the needs of local emerging industries and new economic development for network engineering specialty compound talents.

At present, patient infusion calls in many hospitals depend on patients, their families and medical staff, which largely depend on the subjective attention of patients and their families and the management of transfusion by medical and nursing personnel. It often occurs when the drip is finished without timely calling and handling, which carries certain risks, increases the burden and pressure on patients and their families, and also brings problems to doctors and nurses. In this paper, the needs of doctors, patients and family members are analyzed, and a computer-controlled medical infusion calling equipment is designed to solve this problem well.

Firstly, the working principle of fast-switching device is summarized. From four aspects of fast synchronous switching, synchronous capture switching, residual voltage switching and long-delay switching, the basic types of fast-switching device are analyzed. On this basis, the application countermeasures of fast-switching device in multi-power supply system are put forward. The purpose of the research is to improve the operation efficiency of multi-power supply system and to help enterprises develop in the long run.

This paper introduces the theory of the mono-pulse angle measurement, specified radars signals on the base of ideal model. In order to realize radar angle tracking at the radar secondary lobe, it draws their graphs and explains the tracking mechanism on radars secondary lobe.