Research on online teaching platform system based on microservice architecture

The traditional online teaching adopts the single architecture to develop and implement the system, which facilitates the data sharing and testing of the system. However, due to the increasing complexity of the system's business functions, the system based on monolithic architecture has become increasingly complex, its scalability has deteriorated, and its concurrency performance has decreased. Based on these problems, this paper puts forward combining microservice architecture and online teaching platform, using microservice architecture independent deployment, concurrent performance characteristics such as high technology selection and flexible, the complex business function is divided into several small service module, solve the challenges faced by the traditional system, at the same time improve the efficiency of the use of online teaching platform and students' learning autonomy, The system function design, architecture design, safety design and so on are expounded to build an efficient and perfect online teaching platform.

Application of English Vocabulary Presentation Based on Clustering in College English Teaching

As the most basic element in English learning, vocabulary has always been the focus of teaching in college English classes, but the teaching effect is often unsatisfactory. In this paper, the genetic algorithm fitness function design part is integrated with the K-medoids algorithm to form K-GA-medoids, and secondly, it is combined with KNN to form an algorithmic framework for English vocabulary classification. In the classification process, clustering and classification steps are taken to realize the reduction of the training set samples and thus reduce the computational overhead. The experiments show that K-GA-medoids have significantly improved the clustering effect compared with traditional K-medoids, and the combination of K-GA-medoids and KNNs has effectively improved the efficiency of English vocabulary classification compared with the traditional KNN algorithm, while ensuring the classification accuracy. We found that students in college English course consider word memorization as a difficult learning task, and the traditional vocabulary teaching methods are not very effective, and the knowledge of etymology is often little known and rarely covered in classroom lectures. Therefore, the article explores new ideas and strategies for teaching vocabulary in college English from the perspective of etymology.

Virtual Power Plant Platform for Demand Response Based on Microservice Architecture

It is a trend to use virtual power plant technology to realize demand response and participate in electricity trading. We design and implement the software control platform of virtual power plant for demand response. For this software platform, we analysed the requirements and got the overall architecture of the platform. On this basis, we design and implement the microservice architecture, interface design, basic application function design, advanced application function design, hardware architecture, communication architecture and security encryption of the platform. Finally, we summarize the application of the platform, and put forward the direction of further research and development.

Edge Computing in Mobile Information System for Digital Construction of College English Teaching

As an education mode and teaching method of modern education, digital teaching in colleges and universities plays a role of bridge and hub in the development of modern education. Digital teaching has become one of the important driving forces for the development of digital and informatization of education in colleges and universities. This paper combines edge computing and digital technology to study the mobile information system used in the digital teaching of college English, namely, the digital teaching platform. In the technical part, this article clarifies the concept of mobile information system and introduces edge computing, cloud computing, digital system structure, and other technologies in detail; the system design and implementation part introduces the system architecture, function design, and how to realize the system function. In the system test section, black box and white box tests were performed on the system. The test results show that all functions of the system can be used normally and have certain feasibility. The mobile information system reduces the average content transmission delay (ADL) by approximately 14%-22% and 21%-31%, respectively, which greatly improves the efficiency of digital teaching of English in colleges and universities.

A Conditionally Chaotic Physically Unclonable Function Design Framework with High Reliability

Physically Unclonable Function (PUF) circuits are promising low-overhead hardware security primitives, but are often gravely susceptible to machine learning–based modeling attacks. Recently, chaotic PUF circuits have been proposed that show greater robustness to modeling attacks. However, they often suffer from unacceptable overhead, and their analog components are susceptible to low reliability. In this article, we propose the concept of a conditionally chaotic PUF that enhances the reliability of the analog components of a chaotic PUF circuit to a level at par with their digital counterparts. A conditionally chaotic PUF has two modes of operation: bistable and chaotic , and switching between these two modes is conveniently achieved by setting a mode-control bit (at a secret position) in an applied input challenge. We exemplify our PUF design framework for two different PUF variants—the CMOS Arbiter PUF and a previously proposed hybrid CMOS-memristor PUF, combined with a hardware realization of the Lorenz system as the chaotic component. Through detailed circuit simulation and modeling attack experiments, we demonstrate that the proposed PUF circuits are highly robust to modeling and cryptanalytic attacks, without degrading the reliability of the original PUF that was combined with the chaotic circuit, and incurs acceptable hardware footprint.

Analytic Programming – a Novel Tool for Synthesis of Controller for Chaotic Lozi Map

In this paper, it is presented a utilization of a novel tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new feedback control law. This new synthesized chaotic controller secures the fully stabilization of selected discrete chaotic systems, which is the two-dimensional Lozi map. The paper consists of the descriptions of analytic programming as well as selected chaotic system, used heuristic and cost function design. For experimentation, Self-Organizing Migrating Algorithm (SOMA) and Differential evolution (DE) were used. Two selected experiments are detailed described.