Research on Remote Online Teaching Assistant System Based on Human-Computer Interaction

This paper studies the design and use of spare parts and system management module, and designed a development model based on B/S architecture. System using MVC framework, using AJAX pages, data and business separation and a series of advanced technologies developed for the management of spare parts. System design mainly uses high-performance UNIX system database server and a set of easy to maintain Windows Server2003 system as an application server, middleware using open source Tomcat, database using the Oracle database, ensure the system's high availability and high cost. The function module is based on B/S model include: procurement module, inventory management module, allocation management module, quota management module statistics query module and module-based information management and system maintenance module, the system message announcement. Spare parts management system and the advantages are analyzed to prove that the system is capable of successful application.

In order to solve the problems of low efficiency of management information systems and low utilization rate of the information resources, this research paper proposes the designs of an exhibition management information system by using a B/S structure (Browser/Server mode). The proposed system is aimed at the analysis of functions and types of exhibitions. The system is comprised of the following three components: the browser-side, server-side, and middle layer. Among them, the browser includes a user management module and exhibition environment visualization module. The server includes an upper computer control module and human-computer interaction module. The middle layer includes the data resource management module, document information management module, exhibition project audit approval and management module, and information scheduling module. Experimental results show that the lowest management efficiency of the system is 96.19%, the highest can reach 98.39%, and the utilization rate of information resources is above 94%, indicating that the system has achieved the design expectation.

This article first established a university network education system model based on physical failure repair behavior at the big data infrastructure layer and then examined in depth the complex common causes of multiple data failures in the big data environment caused by a single physical machine failure, all based on the principle of mobile edge computing. At the application service layer, a performance model based on queuing theory is first established, with the amount of available resources as a conditional parameter. The model examines important events in mobile edge computing, such as queue overflow and timeout failure. The impact of failure repair behavior on the random change of system dynamic energy consumption is thoroughly investigated, and a system energy consumption model is developed as a result. The network education system in colleges and universities includes a user login module, teaching resource management module, student and teacher management module, online teaching management module, student achievement management module, student homework management module, system data management module, and other business functions. Later, the theory of mobile edge computing proposed a set of comprehensive evaluation indicators that characterize the relevance, such as expected performance and expected energy consumption. Based on these evaluation indicators, a new indicator was proposed to quantify the complex constraint relationship. Finally, a functional use case test was conducted, focusing on testing the query function of online education information; a performance test was conducted in the software operating environment, following the development of the test scenario, and the server’s CPU utilization rate was tested while the software was running. The results show that the designed network education platform is relatively stable and can withstand user access pressure. The performance ratio indicator can effectively assist the cloud computing system in selecting a more appropriate option for the migrated traditional service system.

Based on the requirement of the Reduce of power information network failures, the power environment monitoring system based on big data is designed and implemented. The system includes five application modules: acquisition and monitoring module, resource management module, analysis and decision module, alarm center module and configuration management module. An improvement of Apriori algorithm by the unique design array which is used for data analysis can enhance efficiency of the algorithm. The system based on Big Data technology, by the efficient analysis of power data, environmental data, main data and external Data, to achieve a comprehensive perception of monitoring and operation analysis on power environment of computer room based on big data, intelligent auxiliary user decisions. Through research and implementation of the project, we can realize real-time monitoring of the video and the environment of the substation, besides we can locate and prevent the various alarms (fire, flooding and theft, etc.) timely. Providing effective technical support for staff remote inspection and troubleshooting. The project can prevent accidents, combat crime, protect property, ensure that the system is stable, and make the substation security technology improving to a new level.

Cloud computing is where software applications, data storage and processing capacity are accessed via the internet. This paper involves with analysis of the importance of cloud computing in software application developed as a service. To achieved that, a web based application OPMaSwas developed to provide service that will improvetheaudit readiness and compliance, couple with conformance to records retention policies and automated record management bundled using SaaS model. The web application is meant to manage personnel of any given organization, providing strong functionalities developed in modules such as; personnel information management module, training information management module, leave management module, resume management module, appraisal management module, document management module, reporting module and payroll management module. This applies to a lot of third world countries especially in Nigeria where interest e-commerce is fast growing. The system was evaluated using software performance methods where a reasonable performance was achieved as compared to state of the art software.

Aiming at the problems of poor stability and low efficiency of the traditional remote assistant teaching control system, a remote assistant teaching control system based on machine learning is proposed. The hardware part of the system consists of authentication module, student learning module, teaching management module, BBS management module and system management module. In order to improve the teaching efficiency, the basic functions of the distance teaching auxiliary system, such as course learning, self-assessment, homework submission and online Q&A, are determined and analysed in detail. Introduce machine learning into teaching control process. Give the software flow chart. Experimental data show that the stability of the design method in this paper is better than the other two traditional methods. Experimental results show that the design method has good stability and high efficiency.

Human-computer interaction for virtual-real fusion

Drawing lessons from previous research results, design an integrated management system for instruments and equipment in the university's media converged laboratory based on a hybrid cloud architecture. The device basic information management module mainly defines the basic information of the device, and registers all the information of the device or changes in all the information. The equipment scrap management module realizes early warning of scrap information and processing of scrap applications for scrap equipment. The function of the equipment maintenance management module is to realize the recording of information about the periodic quality inspection and maintenance of test equipment and other equipment in the laboratory. Equipment accessories management module is mainly to add, delete, maintain and query equipment accessories information. Register the information of Equipment Distribution Department through the equipment distribution management module. The system management module is responsible for the basic user information and other basic settings. The system uses firewall technology to isolate and protect the user network from the server. Test results show that the system function and performance are good, can be put into use.KeywordsHybrid cloud architectureFinancial mediaData migration serviceLaboratory equipmentInformation dispersion algorithmIntegrated management

Starting from the background and practical significance of the research on the chain drugstore management system in the Internet era, this paper analyzes the business model of the chain drugstore, the relationship between the chain drugstore and the head office, the business relationship between the drugstore staff and the necessity of designing the chain drugstore management system, discusses the design objectives, principles and overall design scheme of the chain drugstore management system, and expounds the management system of the chain drugstore Design process. Through the analysis of the functional requirements of the system, the chain drugstore management system mainly includes information management module, drug management module, distribution management module, sales management module and statistical management module, so as to design the functional structure diagram and the database needed by the system.

This With the continuous development of computer network and information industry, the use of manual data processing has been unable to meet the current needs, and more and more businesses have to change their business model and use computers to manage manpower and materials. The store management system is designed to improve the operation rate of individual businesses, so as to facilitate the store management personnel to manage the purchase and sale of goods. In this paper, the author studies on store the overall management system adopts B/S structure, using IntelliJ IDEA as a development environment of the whole code, front-end using easyUI framework for the preparation of the JSP page, the back-end using SSM framework, using MySQL database for data persistence, through these finished goods management module technology, purchasing and supply management module, order management module, user management module development, and through the function test and analysis, system can stable operation, to achieve the desired effect. The realization of the system can improve the management efficiency of individual businesses on materials, procurement, sales and personnel, making the operation of staff more convenient and avoiding mistakes in the operation process.

Grid technology is widely used in recent years, it has solved the real sharing of resources, make each node of unified command and use of resources, the information grid is on the basis of computational grid, using data mining. Information fusion and search engine technology and building are advantageous for the collection and sharing of grid resources. The goal to create a build on OS and Web is based on the new generation of Internet information platform. In this platform, the distribution of the information processing is the collaboration and intelligent. Focus crawler sets according to the target subject. In the form of intelligent collection topics come from the Web page, and then adopt the method of machine learning. The information retrieval on the collected information intelligent need process and analyze. Finally, the effective retrieval way is to meet the demand of the user's information retrieval.

The wireless technologies in a heterogeneous wireless network usually differ in terms of, but not limited to, their offered bandwidths, operating frequencies and costs, coverage areas, and latencies. Currently, no single wireless technology claims to provide cost-effective services, which offers high bandwidths and low latencies to all mobile users in a large coverage area. This is where the need for well-organized vertical handoffs (VHOs) between heterogeneous wireless technologies become evident. This paper presents a new VHO algorithm which takes into account a complete set of system attributes to fulfill two tasks. The first task is to perform the VHO Necessity Estimation (VHONE) utilizing several parallel Fuzzy Logic Controllers (FLCs) with reduced rule sets to estimate the VHO necessity. The second task is the selection of the best network as the target for VHO, where a ranking algorithm is developed based on TOPSIS. Priority Weights for the different system attributes are calculated based on a Fuzzy Analytical Hierarchy Process (FAHP). Later, simulations based on four traffic classes (conversational, streaming, background, and interactive) in the presence of three wireless networks (WLAN, WMAN, and WWAN), are carried out using a comprehensive wireless simulation test-bed that contains all the necessary Radio Resource Management (RRM) modules.

It researches the requirements of control plane in T-MPLS and analyses the architecture of control plane based on TMPLS testbed. With the growth of the demand for packet transport services, packet transport network is becoming the core technology for transport network, especially T-MPLS. Because of simply implement, independent control plane, complete OAM, T-MPLS becomes the most promising technology for packet transport network. The control plane is responsible for handling dynamically and in real-time network's esources in order to manage the establishment and deletion of label switch path(LSP), and for disseminating and discovering network topology and resource availability through the exchange of control (signaling and routing) messages between neighbor nodes over the data communication network (DCN). It is composed of mainly four modules, connection controller (containing signaling module), routing, resource manager, and protocol controller module. The four modules interact with each other to complete the control plane's functions. The flow of every module is designed in this paper to complete control plane's software programming.

Visualization is a very potent tool in the provision of decision support in fisheries information systems. Fisheries management involves distinct groups of participants with a common purpose but different perspectives on strategies to be pursued and the information required for effective management. This paper discusses the visualization capabilities of FishCAM2000 (FC), which is a computer-based integrated information system for fisheries management and marine environmental monitoring. The design of FC is modular, and comprises a real-tune, on-board data capture component, resource management, and analysis modules for fishermen, regional and national fishery managers, plus modeling and analysis toolkits for scientists involved in longer-term stock prediction. In developing FC, particular attention has been paid to structuring the system's architecture so that a range of visual spatiotemporal graphics can be produced by all groups of users. It is also necessary to link the base data set derived from the mandatory logbook data to other marine data sets for biotic and abiotic variables to enable multivariate modeling and analysis of the marine environment. The visualization capabilities of FC are an integral part of all the analytical functions. (C) 2002 International Council for the Exploration of the Sea.

A modern radar may be designed to perform multiple functions, such as surveillance, tracking, and communications. A radar resource management (RRM) module makes decisions on parameter selection, prioritization, and scheduling of such tasks. RRM becomes especially challenging in overload situations, where some of the tasks may need to be delayed or even dropped. In general, task scheduling is an NP-hard problem. Finding the optimal solution has high computational complexity, and heuristic methods, while having low complexity, provide relatively poor performance. In this work, we use machine learning-based techniques to address this issue. We develop a cognitive scheduler which is trained through the interactions of the radar with the environment. Specifically, we propose an approximate algorithm based on the Monte Carlo tree search method. A policy network is also used to help to reduce the width of the search. Such a network can be trained using reinforcement learning techniques. Furthermore, we consider the implementation of the above methods with constraints on channels and tasks, e.g., nonhomogeneous channels, blocked channels, periodic tasks, etc. We have modified the MCTS method to make sure that the constraints are met. The efficiency of the proposed methods are shown using simulation results.