SpringBoot case (data layer, business layer, presentation layer)

1. Create project 2. Select coordinates 3.Add coordinates Note: In order to facilitate development, lombak coordinates are introduced. <!–Add mybatis-plus coordinates–> <dependency> <groupId>com.baomidou</groupId> <artifactId>mybatis-plus-boot-starter</artifactId> <version>3.4.3</version> </dependency> <!– Add Druid coordinates –> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.2.6</version> </dependency> <!– lombok –> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> </dependency> 4.Lombok Note: Lombok is a Java class library that provides a set […]

Representation of Redis string

Representation of string Redis is developed in C language, but the string type used by Redis does not adopt the string type of C language. Next, let’s take a look at why such a design is adopted. The c language represents a string as a character array, ending with a character like ‘\0‘ 1. Representation […]

[RNN+Encrypted Traffic A] ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for…

Article directory Introduction to the paper Summary Problems Paper contribution 1.ET-BERT 2. Experiment Summarize Paper content data set Readable citations Reference connection Introduction to the paper Original title: ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification Chinese title: ET-BERT: A datagram contextual representation method based on pre-trained transformers for encrypted traffic […]

Current status of knowledge representation models – related to symbolic representation

The concept of the Semantic Web was proposed by Tim Berners Lee, the inventor of the World Wide Web, in 1996. The goal is to convert current information into machine-friendly language. The Semantic Web is not an independent network, but an extension of the current network. It empowers The clear meaning of information makes it […]

[Artificial Intelligence Experiment] Predicate representation and production knowledge representation

1. Experiment purpose 1. Familiar with predicate logic notation; 2. Understand and master production knowledge representation methods and implement the rule base of production systems. 2. Experimental content Implemented through C language programming: 1. Monkey picking banana problem 2. Animal identification system (1) Establish rules for identifying seven types of animal identification systems; (2) Determine […]

Artificial Intelligence I2-Knowledge Representation

[Artificial Intelligence I] 2-Knowledge Representation Knowledge is the basis of intelligence First-order predicate logic, production, framework and other knowledge representation methods Article directory 【Artificial Intelligence I】2-Knowledge Representation 2.1 Concepts of knowledge and knowledge representation concept of knowledge properties of knowledge 2.2 First-order predicate logic representation predicate predicate formula First-order predicate logic knowledge representation method Characteristics […]

csapp-Machine-Level Representation of Program-review

Machine-Level Representation of Program Gains and Thoughts Basics Machine-Level Programming can be seen as a translation of machine execution to upper-level code, that is, how the hardware interprets each line of code through instructions one by one, and then manipulates various hardware to execute corresponding results. Machine-Level Programming has two forms of expression, one is […]

Graph theory 01-[Unweighted and undirected]-Basic representation of graph-adjacency matrix/adjacency list

Article directory 1. Code warehouse 2. Comparison of basic representations of graphs 3. Adjacency matrix: Array and TreeSet 3.1 Illustration 3.2 Array main code analysis 3.3 Test output 3.4 Code using TreeSet 4. Adjacency list: LinkedList 4.1 Illustration 4.2 LinkedList main code analysis 4.3 Test output 5. Complete code 5.1 Adjacency list – Array 5.2 […]