XML Technology Research Articles

Smart Library Automation: Integrating Classification Tree-Based cataloging with XAMPP Server Environment

Various sectors, including libraries, have experienced a revolution due to the swift progress of technology. This involves introducing automation and monitoring systems for more efficient operations. Hence the study Smart Library Automation and Monitoring System as an appropriate solution for these technological advancements. The proposed system integrates cutting-edge technologies to create a smart interconnected library ecosystem. Object Oriented Design Methodology was used as the software engineering technique, the proposed system leverages classification tree-based cataloging, a hierarchical organization method that enhances the accessibility and navigability of library collections. JavaScript, PHP, HTML, CSS, and XML technologies are integrated to develop an intuitive and interactive user interface for the library management system, XAMMP was later used as local server environment to utilize the automation. The system boasts various advanced functions, such as automatic lending and returning of books, shelf monitoring, and cataloging for resource accessibility assurance. By integrating these features into a comprehensive library management solution, it enables proficient utilization with intellectuality sustainability on par with the modern digital era standards.

Building an open-source collaborative platform for migration research: A metadata modeling approach using XML

Public access to well-organized migration data repositories is rare. While open migration data are available, most are dispersed, challenging their organization. This work uses a metadata modeling approach to organize migration-related data and research components hosted in an open-source, collaborative research environment. The proposed platform integrates data, computational models, application libraries, and research projects in a unified environment for research. An overview of the metadata modeling process and the XML technology used to integrate the platform components was provided, along with descriptions of the platform’s essential features, such as standardized exchange of information for data organization and sharing and collaborative authoring. The design of a prototype collaborative, open-source migration data and modeling research platform using sample data and software components was built and hosted on GitHub for testing and refinement purposes. It allows the authors to collaborate, improve, and assess the platform’s functionalities and capabilities. Our platform, COSMOS (Collaborative Open-Source Modeling System), adopted the creation and use of open data formats for alignment with FAIR (Findable, Accessible, Interoperable, and Reusable) data principles to ensure that data at the prototype level is consistent with and can be used by the international migration research community in the future. By providing a standardized framework for data organization, data sharing, and collaboration, the platform can help accelerate scientific discovery and advance our understanding of complex social and cultural phenomena such as immigration.

Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach.

Though there has been considerable effort to implement machine learning (ML) methods for health care, clinical implementation has lagged. Incorporating explainable machine learning (XML) methods through the development of a decision support tool using a design thinking approach is expected to lead to greater uptake of such tools. This work aimed to explore how constant engagement of clinician end users can address the lack of adoption of ML tools in clinical contexts due to their lack of transparency and address challenges related to presenting explainability in a decision support interface. We used a design thinking approach augmented with additional theoretical frameworks to provide more robust approaches to different phases of design. In particular, in the problem definition phase, we incorporated the nonadoption, abandonment, scale-up, spread, and sustainability of technology in health care (NASSS) framework to assess these aspects in a health care network. This process helped focus on the development of a prognostic tool that predicted the likelihood of admission to an intensive care ward based on disease severity in chest x-ray images. In the ideate, prototype, and test phases, we incorporated a metric framework to assess physician trust in artificial intelligence (AI) tools. This allowed us to compare physicians' assessments of the domain representation, action ability, and consistency of the tool. Physicians found the design of the prototype elegant, and domain appropriate representation of data was displayed in the tool. They appreciated the simplified explainability overlay, which only displayed the most predictive patches that cumulatively explained 90% of the final admission risk score. Finally, in terms of consistency, physicians unanimously appreciated the capacity to compare multiple x-ray images in the same view. They also appreciated the ability to toggle the explainability overlay so that both options made it easier for them to assess how consistently the tool was identifying elements of the x-ray image they felt would contribute to overall disease severity. The adopted approach is situated in an evolving space concerned with incorporating XML or AI technologies into health care software. We addressed the alignment of AI as it relates to clinician trust, describing an approach to wire framing and prototyping, which incorporates the use of a theoretical framework for trust in the design process itself. Moreover, we proposed that alignment of AI is dependent upon integration of end users throughout the larger design process. Our work shows the importance and value of engaging end users prior to tool development. We believe that the described approach is a unique and valuable contribution that outlines a direction for ML experts, user experience designers, and clinician end users on how to collaborate in the creation of trustworthy and usable XML-based clinical decision support tools.

Enhancing XML-based Compiler Construction with Large Language Models: A Novel Approach

Considering the prevailing rule of Large Language Models (LLMs) applications and the benefits of XML in a compiler context. This manuscript explores the synergistic integration of Large Language Models with XML-based compiler tools and advanced computing technologies. Marking a significant stride toward redefining compiler construction and data representation paradigms. As computing power and internet proliferation advance, XML emerges as a pivotal technology for representing, exchanging, and transforming documents and data. This study builds on the foundational work of Chomsky's Context-Free Grammar (CFG). Recognized for their critical role in compiler construction, to address and mitigate the speed penalties associated with traditional compiler systems and parser generators through the development of an efficient XML parser generator employing compiler techniques. Our research employs a methodical approach to harness the sophisticated capabilities of LLMs, alongside XML technologies. The key is to automate grammar optimization, facilitate natural language processing capabilities, and pioneer advanced parsing algorithms. To demonstrate their effectiveness, we thoroughly run experiments and compare them to other techniques. This way, we call attention to the efficiency, adaptability, and user-friendliness of the XML-based compiler tools with the help of these integrations. And the target will be the elimination of left-recursive grammars and the development of a global schema for LL(1) grammars, the latter taking advantage of the XML technology, to support the LL(1) grammars construction. The findings in this research not only underscore the signification of these innovations in the field of compilation construction but also indicate a paradigm move towards the use of AI technologies and XML in the context of the resolution of programming traditional issues. The outlined methodology serves as a roadmap for future research and development in compiler technology, which paves the way for open-source software to sweep across all fields. Gradually ushering in a new era of compiler technology featuring better efficiency, adaptability, and all CFGs processed through existing XML utilities on a global basis.

Analysis of Film and Television + Professional Cluster Resource Integration Model and Industry Development Dynamics

Abstract This paper proposes a resource integration model for film and television + professional clusters and builds a corresponding digital platform to realize the effective integration of film and television professional resources. Using XML technology of different modalities of film and television professional resources, the association of film and television professional resources is defined, and a multi-objective integration scheduling algorithm is incorporated to optimize the integration speed to ensure the operational efficiency of the integration model. The integrated film and television professional resources are stored in the digitization platform, the wavelet transform technology is used to decompose the image signals, and the classifiers trained by the learning algorithm and the information entropy are used to complete the classification of film and television professional resources. After applying the design model and platform of this paper in the practical course teaching Film and Television Production for the 2022 undergraduate students majoring in Film and Television Studies at University X, the quality of film and television works created by the students improved by 2.12 and 1.64 in the dimensions of artistry and innovativeness compared with the pre-practice dimension, which showed a significant difference (P<0.05). H Pictures, on the other hand, predicts that in 2024, the cash income security, structural rationality, profitability sustainability, and growth sustainability metrics will improve to 0.6432, 0.9558, 0.00005, 0.4868, and 0.3767.

Machine-readable data and metadata of international key comparisons in radionuclide metrology

The digitalization of key comparisons in radionuclide metrology is being studied at the BIPM. Results of comparisons are made available on the BIPM KCDB platform where a PDF/A document can be downloaded. Access to the metadata contained in the PDF is not straightforward. Therefore, the XML and JSON versions of the report are now embedded in the PDF/A document, allowing direct access to the metadata. This achievement is a first step towards the implementation of FAIR (findable, accessible, interoperable, reusable) principles and does not affect the current policy of publishing comparison results. The combination of PDF/A and XML technologies seems to be an effective way to carry out digitalization. The strengths of both technologies can be brought together to meet the FAIR principles and ISO/IEC 17025 compliance. This approach benefits from robust data exchange features such as XML Schema and XML namespaces, as well as secure digital signatures and long-term archiving of PDF/A-3 documents.

Development of an adaptive graphic web interface model for editing XML data

The ability of the end user to work with a large amount of data from a large number of heterogeneous sources and at the same time get an effective result from the work is carried out through the use of graphical web interfaces built on the basis of XML technologies that allow displaying any structure of a file presented in XML format. As a data exchange method between applications on the Web, XML still lacks capabilities for identification of web resources and a system that uses them, and capabilities to express the knowledge provided by XLM documents. In this study, a web interface has been developed (a web-based server application), as an XML records editor that provides display forms for the creation and editing of XML documents and is able to adapt to the internal resources of the system used. The technology is based on the XSD data set schema transformation by the way of XSLT transformations. Screen forms are generated on the server side and are provided to the user with all the necessary tools for correct input and/or editing of heterogeneous data. A distinguishing characteristic of this technology is the ability to display both properly and improperly formed XML data. The developed graphical interface allows any application to automatically exchange and read information from other applications without human intervention, which significantly improves performance and ease of use. This software solution could be used both as an independent data building and editing module presented in the XML format, and as a built-in module plugged into various server software for heterogeneous information management systems

Innovation and QoS Performance Evaluation Analysis of Real-Time Sharing Platform of Intelligent Courses in Colleges

With the gradual rise of online MOOC teaching platforms, real-time sharing algorithms and QoS performance evaluation systems for online intelligent courses in colleges and universities are becoming more and more important. First of all, introduce the intelligent cloud teaching method with cloud classroom app tools as the core application, and use the smart campus platform to "fancy teaching" classrooms, MOOCs, live broadcasts and other popular forms such as animations, micro-videos, WeChat and other popular forms and language communication management. Knowledge and principles, followed by autonomous and intelligent methods used in implementing QoS decision-making and control in a cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization rate of network resources and ensure the end-to-end QoS of the network. The results show that: NET, XML and other key technologies, on this basis, the intelligent teaching platform solution of NET, the framework and overall design of the teaching platform are introduced.

Empirical Analysis of Remote Monitoring for the Development of Jinxiu Yao Cultural Tourism Resources Based on Real-Time Unmanned Sensor Image Technology

In the process of classroom teaching, the intelligent cloud teaching method with the blue ink cloud class app tool as the core application is introduced, and the smart campus platform is used to "fancy teaching" in the form of animation, micro-video, micro-class, MOOC, live broadcast, etc. The popular form and language convey the relevant knowledge and principles of management, mainly refers to the autonomous and intelligent methods adopted when implementing QoS decision-making and control in the cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization of network resources and ensure the end-to-end QoS of the network. And emphatically introduced the ADO involved in the system development process. NET, XML and other key technologies, on this basis, the paper introduces the NET's intelligent teaching platform solution, the framework and overall design of the teaching platform.

Research on the cross-platform information transmission method of industrial internet of things based on XML technology

Aiming at problems of large error in data feature extraction and high congestion in the traditional information transmission methods, this paper proposes a cross-platform information transmission method of industrial internet of things based on XML technology. Based on the networked information features of extract, SUM function was used to complete the feature fusion. Then, the XML technology is used to obtain the optimal segmentation of tree, and the fitting training of tree data is carried out to realise the safe storage of information. Then, the information distribution probability is obtained according to the nature of XML file, so as to realise the cross-platform transmission of information. According to the simulation results, it can be seen that the data feature extraction error of this method is at least 2.1%, the sample data transmission time is always lower than 6 s, and the transmission process congestion is low, which fully proves its effectiveness.

Next-Generation Sequencing Markup Language (NGSML): A Medium for the Representation and Exchange of NGS Data.

With the increasing demand for low-cost high-throughput sequencing of large genomes, next-generation sequencing (NGS) technology has developed rapidly. NGS can not only be used in basic scientific research but also in clinical diagnostics and healthcare. Numerous software systems and tools have been developed to analyze NGS data, and various data formats have been produced to accommodate different sequencing equipment providers or analytical software. However, the data interoperability between these tools brings great challenges to researchers. A generic format that could be shared by most of the software and tools in the NGS field would make data interoperability and sharing easier. In this paper, we defined a general XML-based NGS markup language (NGSML) format for the representation and exchange of NGS data. We also developed a user-friendly GUI tool, NGSMLEditor, for presenting, creating, editing, and converting NGSML files. By using NGSML, various types of NGS data can be saved in one unified format. Compared with the unstructured plain text file, a structured data format based on XML technology solves the incompatibility of various NGS data formats. The NGSML specifications are freely available from http://www.sysbio.org.cn/NGSML. NGSMLEditor is open source under GNU GPL and can be downloaded from the website.

Design of English Teaching Corpus Resource-Sharing System Based on XML Technology

It is well known that vocabulary is the cornerstone of language learning. Therefore, vocabulary teaching is very important in English language teaching. However, time-consuming and inefficient vocabulary education has always been a long-standing issue. Teachers utilize traditional teaching methods, which are monotonous, so students lose interest and desire in studying, resulting in a drop in academic performance and even resistance to English courses, creating a vicious circle. Therefore, improving the efficiency of vocabulary teaching has become a hot topic in the field of English education today. Corpus technology has begun to infiltrate the realm of English education as the times and technology have progressed. Because of its vast capacity and real corpus, the corpus is gradually being used in English classes. Therefore, this research will explore the application of corpus-based XML technology data-driven teaching in junior high school English vocabulary teaching. Data-driven vocabulary teaching based on corpus resources has been shown to considerably improve students’ vocabulary learning effects, but its promotion requires the assistance of education departments as well as the development of instructors’ professional theoretical understanding. In order to solve the problem of data processing and data sharing of heterogeneous data in the process of digital campus construction, this study aims at the campus network application system, using data exchange technology and XML’s good extensibility, self-description, separation of form and content, etc. It realizes data sharing and sharing in heterogeneous databases.

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.

Retracted] Intelligent Integration Algorithm of National Traditional Sports Culture Resources Based on Big Data

There is an information island between traditional national sports culture resources and realize the efficient real‐time interconnection of resources. Therefore, this study proposed an intelligent integration algorithm of traditional national sports culture resources using big data that halts the said information island. Firstly, the complete data set is obtained by determining the time attenuation period of the weighted sample, and the mining parameters are based on the real value to realize the in‐depth mining of the resource wisdom of traditional ethnic sports culture. Then, the query set of big data is constructed based on the results of weakly associated data mining, and the query of weakly associated data is completed through data repair. Finally, XML technology is used to run the schema to build a resource integration model. The experimental results show that compared with the traditional integration algorithm, the proposed algorithm can better solve the problem of information island among traditional ethnic sports culture resources at all levels and effectively maintain the stability of the storage environment of traditional ethnic sports culture resources while realizing the real‐time interconnection of resources.

Research on the Application of XML in Fault Diagnosis IETM

AbstractFault diagnosis IETM is a digital technical manual which integrates editing, management, display and publication and faces the field of fault diagnosis. In its development process, there are some problems such as complex data management and difficult interaction. The successful application of XML technology becomes the key to solve these problems. In this paper, based on S1000D IETM development standard, the main characteristics of XML and its related technologies are first introduced, and then the application of XML and its related technologies in fault diagnosis IETM is analyzed and studied, including the creation of fault information data module, the display control of fault information and the comprehensive management of data. A conversion method between XML document data and database data is proposed, and the design process of fault diagnosis IETM based on XML is discussed. Finally, a fault diagnosis IETM display system based on XML is preliminarily developed by combining the related technologies mentioned above. Experiments show that XML technology can effectively manage the information in fault diagnosis IETM and display it to users in an interactive way, which has important theoretical value and certain practical significance for developing fault diagnosis IETM and exploring the deeper application of XML in IETM.

THE METHOD FOR IMPLEMENTING SEMANTIC INTEROPERABILITY OF FACTOGRAPHIC DATA OF OPERATIONAL DOCUMENTATION OF LARGE PRODUCTION SYSTEMS

The creation and operation of large production systems (LPS), consisting of a set of enterprises and organizations, characterized by their complex interaction, is one of the directions of industrial development in our country. The advantage of the LPS is to increase the efficiency of its functioning, build up scientific potential, and coordinate the enterprises and organizations that are part of it. The production activity of any enterprise is associated with solving the problems of making management decisions, which is based on the processing of exploitative factographic data. By the exploitative content of an enterprise, we mean significant information content for the process of its operation, which is stored in the form of an information resource (for example, an electronic document). Factographic data allow you to monitor the current state of the enterprise, to determine the strategic, tactical, exploitative goals and objectives of the enterprise, to develop well-grounded and timely management decisions. The processing of exploitative factographic data of operational content requires the involvement of additional resources for its processing, which is explained by the low formalizability of the exploitative content and the lack of implementation of semantic interoperability. Semantic interoperability is understood as “the ability of any information systems interacting in the process of communication to understand in the same way the meaning of the information they exchange”. Thus, the actual problem of the operation of large production systems is the implementation of the semantic interoperability of factual data of operational documentation, which will allow the use of a universal algorithm for their processing. The main directions of approaches to the implementation of semantic interoperability are considered and their shortcomings are identified. An approach to the implementation of semantic interoperability based on the use of semistructure of exploitative factual content of electronic documents is proposed. As part of the work, a practical example of the implementation of the proposed approach is given on the example of processing the results of hydrodynamic studies of gas wells. A universal method of marking factographic data in the content of electronic MS Word documents by means of their semistructure models is proposed, which implements support for their semantic interoperability and automated processing for all MS Word document formats implemented on the basis of XML technology.

Application of QR Code Online Testing Technology in Nursing Teaching in Colleges and Universities

In view of the current situation that the nursing teaching content is lacking pertinence and cannot effectively cultivate students’ critical thinking, this paper puts forward the application analysis of two-dimensional code online testing technology in nursing teaching in colleges and universities. Through the analysis of two-dimensional code recognition technology architecture and common application fields, an intelligent nursing teaching platform for two-dimensional code online testing technology was designed. Systematically, we summarize the advantages of intelligent nursing teaching platform, use flash and 3D technology to complete the virtualization of nursing teaching scene, and use XML technology to update and save teaching resources; we further build an intelligent nursing teaching platform by using the basic plate, nursing station plate, ward plate, dispensing room plate, and case and operation review plate. The experimental results show that under the two-dimensional code online test technology, the nursing teaching method in colleges and universities has strong teaching resource processing efficiency, improves the operation level of students’ nursing technology, and effectively cultivates the academic thinking of nursing students, which is of great significance to the progress of nursing teaching.

Automatic Recognition of Financial Instruments Based on Anisotropic Partial Differential Equations

In this paper, anisotropic partial differential equations are used to conduct an indepth study and analysis of automatic recognition of financial bills. Firstly, it obtains the invoices of the group enterprise, uses scanning technology and related image recognition technology to capture, process, compress and slice the paper bill content, and then carries out data identification and verification of the image. It classifies the obtained electronic data information into bills, converts it into electronic information related to bills according to the corresponding categories of the bill template, and stores it in the bill table of the database to achieve the management operation of formatted electronic files. After categorizing the bills according to the electronic information of bills to match the business scenarios, financial journal vouchers can be generated according to the preconfigured voucher templates of the corresponding business scenarios, and the financial journal vouchers are converted into voucher messages using XML technology. Finally, we use agent technology to design middleware for heterogeneous financial systems to realize the function of communicating voucher messages to each other in different business systems. The system automatically extracts the key information of invoices through OCR technology and performs real-time verification and cyclical feedback to the verification results to the suppliers. The system has realized the intelligent management of the power company’s VAT invoices, thus greatly enhancing the efficiency of VAT invoice verification and settlement. The automatic tax invoice recognition system adopts a network structured tax invoice recognition model, which eliminates the cumbersome steps of character decomposition and character classification in traditional OCR character recognition. After several trials, it has obtained better experimental results in terms of recognition accuracy, with an accuracy rate of over 93% in the recognition of tax invoice data set.

Digitizing Conservation: Developing data models for preservation data

Conservation documentation plays a crucial role in preventing misrepresentations about cultural property. Yet conservation records often remain undigitized and unsearchable. As part of efforts to improve access to conservation documentation, members of the Linked Conservation Data Consortium recently embarked on a project to transform paper and born-digital conservation records spanning forty years into linked data. Project team members reviewed existing models for preservation data and found that only the CIDOC Conceptual Reference Model would accommodate documentation of materiality, object structure, and conservation treatment events as prescribed by professional guidelines. Project outcomes revealed meaningful patterns in conservation data that may be useful in future model development as well as shortcomings in the XML technologies employed for transforming the data.

Research on Cross platform information transmission method of industrial Internet of things based on XML Technology

Research on Cross platform information transmission method of industrial Internet of things based on XML Technology