Performance Appraisal Management System of University Administrators Based on Hybrid Cloud

Aiming at the problems of poor functionality, high occupancy, and low real-time performance of the currently designed performance appraisal management system for university administrators, a performance appraisal management system for university administrators based on hybrid cloud is designed. According to the characteristics of hybrid cloud technology, the overall functional requirements and feasibility of the system are analyzed, and the assessment scheme of administrative personnel according to the provisions of relevant documents is analyzed. The performance appraisal index system is designed using an analytic hierarchy process. Using the hybrid cloud architecture and B/S mode based on each component as a service model and J2EE development framework, the basic information management subsystem of administrative personnel, performance appraisal information management subsystem, information analysis and data mining subsystem, and platform system management subsystem are developed. Using XML technology and database technology, the system is integrated with the performance appraisal management system of administrators in colleges and universities. Through the design of data flow diagram and E-R diagram, the design of performance appraisal management system for university administrators based on hybrid cloud is realized. The experimental results show that the proposed method has good functionality, can effectively reduce the system occupancy, and can improve the real-time performance of the system.

Optimization and Simulation of an English-Assisted Reading System Based on Wireless Sensor Networks

In this paper, wireless sensor network technology is applied to an English-assisted reading system to highly simulate and restore the context and improve the performance of all aspects of the English-assisted reading system to optimize the English-assisted reading system. The product designed in this paper is based on wireless sensor network technology with Linux as the core operating system and supports POSIX (Portable Operating System Interface Standard) standard application development interface; QT is used as the component and framework of the system to support many applications. Based on player open-source multimedia audio and video technology, optimized and tailored for the hardware platform, it well supports multimedia learning and entertainment functions; this paper also adopts open-source database technology based on SQL (Structured Quevy Language) and Berkeley DB, using them as a platform for data storage and access, supporting a million-level thesaurus and high-speed, example sentence search. In this paper, we describe the user’s personalized needs by creating interest models for the user, recommending the text content, and reading order that can help with understanding through the interest models and reading articles and expanding the recommended text range by making expansions to the reading content through references and related articles to further help the user understand the text. Based on the above work, this paper implements an assisted reading system; finally, a multihop self-organizing network system is formed through a wireless sensor network to make the rigid and boring English reading easy and interesting.

An Empirical Study on the Precise Employment Situation-Oriented Analysis of Digital-Driven Talents with Big Data Analysis

This paper conducts an in-depth research analysis on the precise employment of college graduates in the context of big data using a number-driven approach. The textual information of the study is obtained by using in-depth interviews, and the evaluation index system of college students’ employment quality is constructed by combining the step-by-step coding method with rooting theory. The research on the current situation of employment recommendation platform research and the application status of big data in the employment recommendation platform is explored by using a bibliometric approach. And the innovative use of web crawler technology is used to comprehensively understand the recommendation function and status quo of the same type of recommendation platform, which provides a reference for the research of this platform. Based on the preliminary analysis of platform requirements and overall design, the overall design and functional implementation of the big data employment recommendation platform are carried out by using big data crawler technology, big data architecture technology, text mining technology, database technology, etc. The construction of a recommendation module based on user history information, a recommendation based on real-time user online behavior data, and hybrid recommendation carried out on the recommendation module to grasp all-round the platform is built based on a stakeholder perspective. Based on the platform construction, the initial platform operation and maintenance management mechanism was established from the stakeholder’s perspective. The Pearson correlation coefficient is used to objectively evaluate the current situation of talent supply in universities and talent demand in enterprises from the perspective of image and data. In the research on the development status of the big data education industry, the Lorenz curve and Gini coefficient are used to match the status of new big data majors with their college construction volume in each province and provide data support for the reasonable adjustment of majors setting in each province according to the education level.

Research on visual optimization design of machine–machine interface for mechanical industrial equipment based on nonlinear partial equations

With the continuous development and progress of machinery and industry equipment, human-machine interface has become an important operation in industry equipment and has been widely used in aviation, monitoring, traffic, special engineering vehicles, and a series of complex fields. Through the human-machine interface information system, information and data are provided for operators s. As the human-machine interface information data of the mechanical equipment system are numerous, complex, and changeable, operators often make operation mistakes, misread and misjudge, and do not give timely feedback, resulting in task failure or, in serious cases, major mechanical faults and accidents. Therefore, the human-machine interface data information is screened, and the information useful for the operator is directly obtained according to the target set by the operator, so as to effectively solve the complex and changeable data information in the information system. Human-machine interface uses electronic communication technology, computer network technology, and database technology to expand and update machinery and industrial equipment. Among them, nonlinear partial differential equations comprise an important branch of equation in mathematics. In this paper, according to the nonlinear partial differential equations, we research and analyze the information system of the human-machine interface design field and solve the system of the cognitive load, which is too large, such as cognitive mismatch problem in the working mode of operating personnel, by satisfying the needs of different users. The human-machine interface of mechanical industrial equipment uses visual optimization design and innovation.

Fractional Linear Regression Equation in Agricultural Disaster Assessment Model Based on Geographic Information System Analysis Technology

This article combines geographic information system (GIS) technology and database technology to analyse agricultural, natural disasters. The article uses a fractional linear regression equation to define the comprehensive intensity grading standard of the disaster-causing factors of torrential rain. At the same time, we use GIS to superimpose the agricultural vulnerability index into the storm disaster risk zoning to obtain the degree of agricultural impact under different levels of risk. At the end of the thesis, the model is applied to actual case analysis to verify the effectiveness of the algorithm model.

Design and Implementation of Intelligent Learning System Based on Big Data and Artificial Intelligence

In order to improve the level of education development in remote areas of China, help minority schools to better play the advantages of multimedia network teaching resources provided by the state, and further improve the level of multimedia network management, a multimedia network teaching management system is studied and developed. The teaching information and business process of the school is analyzed, the division of the structure of the film and television multimedia information management system is completed, and the overall structure, functional structure, and database of the system are designed; Tornado technology, NoSQL database technology, jQuery technology, and Ajax technology are used to complete the development of the system. The results show that the real system can provide a highly automated platform for the school multimedia network-teaching management. The system makes the teaching staff work more efficiently and accurately. The results show that the system studied has a significant effect on the multimedia teaching of minority films and television. Using the characteristics of the combination of pictures, text, sound, image, and shadow, the knowledge can be shown to students intuitively, which is helpful to relaxed and happy learning of students and stimulate their desire to learn. Multimedia teaching has become an important teaching assistant tool. This exploration can provide theoretical support for the design of the network teaching information management system based on artificial intelligence, decentralize the complex network environment, and carry out decentralized management.

Digital Genre: a Mechanism for Knowledge Sharing and Reuse in Business Clusters

<p>The purpose of this study was to identify the knowledge transfer mechanisms in project bidding for two business clusters in New Zealand, and how ICT played a role in facilitating a "virtual space" for sharing and re-use of these mechanisms. Genre Systems was the theoretical framework adopted to guide this inquiry and to build on further theory. Within the context of this study, genres are the knowledge transfer mechanisms that communicate information and knowledge to members of the community, following specific social rules. The genres and the way they are being employed contribute towards explaining how knowledge is shared and reused by a community. Action research methodology was used to direct data collection and analysis, and validate how the study was carried out. The study comprised of one action research cycle, which has been divided in five stages: Diagnosis, Planning, Development, Evaluation, and Specifying Learning. Mapping the clusters' collaborative interactions during project bidding helped to identify the knowledge transfer mechanisms. This allowed the identification of an ICT solution that could improve project bidding, and identification of how this knowledge could be stored for reuse in future bids. One of the clusters decided to work together with the researcher towards the design of a new portal to address their project bidding needs. The portal took six iterations to complete and went live in November 2005. A database, several "digital genres" (since these genres exist in an electronic medium), and some procedures were created to facilitate knowledge transfer for the cluster's project bidding process. The team had the opportunity to reflect on the whole experience, identify potential features and genres to incorporate in the portal, and start thinking how they could improve the development process in future interventions. The introduction of ICT encouraged the cluster to develop digital genres that were more dynamic and flexible than the ones used before then. The main finding of the study is a five-step process to create digital genres based on the activities carried out by the team: finding reference points for the digital genre; defining the social rules for the digital genre; embedding the social rules in the template; testing the template; and legitimising the digital genre. Further findings discussed the "natural" and "induced" ways for a cluster to increase its knowledge-base. The first instance takes place during the normal practices of cluster members working together towards business opportunities over a period of time, whereas the later instance is triggered by a specific event or initiative. In this study, the decision by the cluster to introduce website and database technology to assist in managing their knowledge-base provided an opportunity to explore the role of ICT in increasing the cluster's knowledge-base. Final findings showed that a project of this nature not only has to overcome the common IT development challenges (budget, project management, user buy-in), but also those derived from working with a team of volunteer people from different organisations, such as in the case of a cluster.</p>

Digital Genre: a Mechanism for Knowledge Sharing and Reuse in Business Clusters

<p>The purpose of this study was to identify the knowledge transfer mechanisms in project bidding for two business clusters in New Zealand, and how ICT played a role in facilitating a "virtual space" for sharing and re-use of these mechanisms. Genre Systems was the theoretical framework adopted to guide this inquiry and to build on further theory. Within the context of this study, genres are the knowledge transfer mechanisms that communicate information and knowledge to members of the community, following specific social rules. The genres and the way they are being employed contribute towards explaining how knowledge is shared and reused by a community. Action research methodology was used to direct data collection and analysis, and validate how the study was carried out. The study comprised of one action research cycle, which has been divided in five stages: Diagnosis, Planning, Development, Evaluation, and Specifying Learning. Mapping the clusters' collaborative interactions during project bidding helped to identify the knowledge transfer mechanisms. This allowed the identification of an ICT solution that could improve project bidding, and identification of how this knowledge could be stored for reuse in future bids. One of the clusters decided to work together with the researcher towards the design of a new portal to address their project bidding needs. The portal took six iterations to complete and went live in November 2005. A database, several "digital genres" (since these genres exist in an electronic medium), and some procedures were created to facilitate knowledge transfer for the cluster's project bidding process. The team had the opportunity to reflect on the whole experience, identify potential features and genres to incorporate in the portal, and start thinking how they could improve the development process in future interventions. The introduction of ICT encouraged the cluster to develop digital genres that were more dynamic and flexible than the ones used before then. The main finding of the study is a five-step process to create digital genres based on the activities carried out by the team: finding reference points for the digital genre; defining the social rules for the digital genre; embedding the social rules in the template; testing the template; and legitimising the digital genre. Further findings discussed the "natural" and "induced" ways for a cluster to increase its knowledge-base. The first instance takes place during the normal practices of cluster members working together towards business opportunities over a period of time, whereas the later instance is triggered by a specific event or initiative. In this study, the decision by the cluster to introduce website and database technology to assist in managing their knowledge-base provided an opportunity to explore the role of ICT in increasing the cluster's knowledge-base. Final findings showed that a project of this nature not only has to overcome the common IT development challenges (budget, project management, user buy-in), but also those derived from working with a team of volunteer people from different organisations, such as in the case of a cluster.</p>

Hierarchical Identity-based Broadcast Cryptography and its Application in Blockchain

Blockchain as an emerging cryptographic database technology has gained wide attention in many directions. Among them, data security is one of the hot spots of research in blockchain. In this paper, we first analyze the security problems of blockchain and then propose to solve them with hierarchical identity-based broadcast encryption (HIBBE). HIBBE, as a variant of hierarchical identity-based cryptography, can effectively improve the data security. HIBBE has all the characteristics of hierarchical identity-based cryptography, so it has potential in decentralized application scenarios. Then we made an overview of the several existing HIBBE scheme. This paper also gives a formal definition of HIBBE and concludes with the research direction of HIBBE-based blockchain.