Application Of Computer Technology Research Articles

A Systematic Review of the Application of Computational Technology in Microtia.

Microtia is a congenital and morphological anomaly of one or both ears, which results from a confluence of genetic and external environmental factors. Up to now, extensive research has explored the potential utilization of computational methodologies in microtia and has obtained promising results. Thus, the authors reviewed the achievements and shortcomings of the research mentioned previously, from the aspects of artificial intelligence, computer-aided design and surgery, computed tomography, medical and biological data mining, and reality-related technology, including virtual reality and augmented reality. Hoping to offer novel concepts and inspire further studies within this field.

Application of computer technology to numerical simulation of hydrothermal variation of subgrade enhanced by seepage drainage geoglage under freeze-thaw cycle

In seasonal frozen soil areas, engineering problems are common due to the high water content of subgrade soil. In view of this phenomenon, a new type of percolating drainage geogrid (SDG) is proposed for cooling and drainage. The changes of soil temperature and moisture at different time points were analyzed through computer simulation laboratory model test, and the changes and distribution of soil temperature and moisture under freeze-thaw conditions were obtained. The temperature and moisture changes and their distribution obtained by computer modeling agree with the experimental results. By optimizing the soil materials of the model samples, the changes of temperature and moisture with time under freeze-thaw conditions were more significant. Therefore, it can be inferred that, without changing the configuration of the percolation drain grid, the cooling drainage performance of the percolation drain grid can be improved under the same conditions by changing the heat transfer coefficient or the macroporous filling material. It provides theoretical support and data guarantee for the reinforcement of subgrade percolation and drainage grid in cold area.

Hospital Medical Behaviour Supervision and Operational Efficiency Evaluation Method based based on Big Data Platform

The application of cloud computing and big data core technologies and concepts to medical informatization can improve its flexibility and efficiency, and achieve the overall deployment and intensive management of the system. In the era of big data, the use of information management platform can optimize and standardize clinical diagnosis and treatment process, improve the quality and efficiency of diagnosis and treatment services, and improve the quality and level of scientific research, which meets the requirements of medical reform for fine management of hospitals and precise medical treatment in the era of evidence-based medicine. This paper introduces the development and application of big data analysis in the field of information technology. Through the research on the supervision of hospital medical service behavior, the top-level design is used to standardize the content of medical behavior supervision, and the effectiveness of supervision is discussed to achieve the purpose of reducing clinical paperwork. Based on the needs, the medical service behavior supervision system is proposed and constructed. Strengthen hospital medical behavior supervision through hospital big data analysis and knowledge base system support. This system can provide management with an effective monitoring and management tool, enabling them to promptly identify and solve problems that arise in medical services. By analyzing a large amount of medical data, hospitals can help predict the trend of disease occurrence in advance, thereby taking preventive and control measures in advance, and reducing the occurrence and spread of diseases. Through deep learning and analysis of patient data, personalized treatment plans can be provided for each patient to improve treatment effectiveness.

Space Weather with Quantified Uncertainties: Improving Space Weather Predictions with Data-Driven Models of the Solar Atmosphere and Inner Heliosphere

To address Objective II of the National Space Weather Strategy and Action Plan “Develop and Disseminate Accurate and Timely Space Weather Characterization and Forecasts” and US Congress PROSWIFT Act 116–181, our team is developing a new set of open-source software that would ensure substantial improvements of Space Weather (SWx) predictions. On the one hand, our focus is on the development of data-driven solar wind models. On the other hand, each individual component of our software is designed to have accuracy higher than any existing SWx prediction tools with a dramatically improved performance. This is done by the application of new computational technologies and enhanced data sources. The development of such software paves way for improved SWx predictions accompanied with an appropriate uncertainty quantification. This makes it possible to forecast hazardous SWx effects on the space-borne and ground-based technological systems, and on human health. Our models include (1) a new, open-source solar magnetic flux model (OFT), which evolves information to the back side of the Sun and its poles, and updates the model flux with new observations using data assimilation methods; (2) a new potential field solver (POT3D) associated with the Wang–Sheeley–Arge coronal model, and (3) a new adaptive, 4-th order of accuracy solver (HelioCubed) for the Reynolds-averaged MHD equations implemented on mapped multiblock grids (cubed spheres). We describe the software and results obtained with it, including the application of machine learning to modeling coronal mass ejections, which makes it possible to improve SWx predictions by decreasing the time-of-arrival mismatch. The tests show that our software is formally more accurate and performs much faster than its predecessors used for SWx predictions.

Empowering teachers: Enhancing Business Studies teachers' technology integration skills through technology peer mentoring

Schools worldwide are continually seeking out various strategies to improve teachers' skills in integrating technology. One strategy that some schools adopt to enhance teachers' technology integration skills is technology peer mentoring. This qualitative study investigates how technology peer mentoring is used to enhance the technology integration skills of business studies teachers in selected schools in South Africa. Interpretivism was adopted as the research paradigm, and an exploratory case study was used as the research design for this study. Purposive sampling was used to select six business studies teachers from six secondary schools located in the Kwa-Zulu Natal province. Thematic analysis was used to analyse the data collected through semi-structured interviews. The study revealed that business studies teachers benefited immensely from their colleagues in the fields of Computer Application Technology and Information Technology during technology peer mentoring. This is because IT and CAT teachers possess both pedagogical and technological knowledge, which makes it easier for them to mentor business studies teachers in integrating technology into their instructional practices. The study concluded that technology peer mentoring helps enhance teachers' technology integration skills. Therefore, the study recommends that technology peer mentoring be adopted in South African schools as part of the strategies to enhance teachers' technology integration skills.

A study on the action mechanism of digital transformation on the output quality of technological innovation

The fourth Industrial Revolution is in full swing, the whole world is pondering the same question: Where is the core breakthrough? With the continuous breakthrough and extensive application of cloud computing, big data, artificial intelligence and other next-generation information technologies, One sign has emerged: digital economy is becoming a new driving force for global economic growth. The impact of digital transformation on enterprises is to improve the quality and efficiency、Improve information quality, Or spread out limited resources and reduce productivity, There is no consensus among academics. To fill that gap, this paper aims to sort out the internal mechanism of how digital transformation improves the output quality of the technological innovation of enterprises from a theoretical perspective, and to establish a digital transformation index at the micro level. On this basis, this study empirically examines how digital transformation affects the output quality of technological innovation.we adopts panel data. It uses data collected from 159 manufacturing enterprises in China. By adopting the methods of PLS structural equation and fuzzy set qualitative comparative analysis (fsQCA), it empirically tests the research model and conducts a mediation analysis through regression analysis. The findings indicated that, Digital transformation can help manufacturing enterprises to improve the output quality of their technological innovation; digital infrastructure plays a significant mediating role between digital transformation and the output quality of technological innovation; the investment of manufacturing enterprises in software and hardware digital infrastructure have a positive impact on the output quality of technological innovation. There is a complementary relationship between the two. The paper was conducted in the context of Chinese culture and can be generalized to other Asian countries. We believe that the research conclusions of this study have important practical significance for how manufacturing enterprises can effectively carry out digital transformation and improve the output quality of technological innovation.

Research and Practice of Computer Application Technology in Big Data Analysis

This article aims to discuss the application of computer application technology in the field of BD (big data) analysis and the challenges it faces, and put forward corresponding countermeasures. Firstly, this article introduces the definition, characteristics and theoretical basis of BD analysis. Then, the specific application of computer application technology in BD analysis is elaborated in detail. Through case analysis, the practical application effect and value of computer application technology in BD analysis are demonstrated. The research results show that computer application technology plays a vital role in BD analysis, which can improve the efficiency of data processing, the accuracy of analysis and the scientific decision-making. Moreover, the research also reveals the technical, methodological and practical challenges faced in the process of BD analysis. In view of these challenges, this article puts forward corresponding countermeasures and suggestions, including strengthening the construction of policies and regulations, promoting technological innovation and research and development, and promoting Industry-University-Research's cooperative cooperation. These countermeasures have certain guiding significance and practical value for promoting the development of BD analysis.

An Introduction to Computational Science and Computer Development

As our economy and society continue to evolve, computer technology is also evolving and innovating. The emergence of computer technology has greatly facilitated human work and learning, and has brought great influence to all walks of life. For a long time, computer technology has deeply penetrated into people's production and life, and become an indispensable and important part. To a certain extent, computers have contributed to the development of the national economy, and at the same time, it has also brought a lot of convenience to the people. This initiative not only significantly improves the quality of life and productivity of the general public, but also an important indicator of the overall quality of a country's population. Through the study, it is found that with the continuous development of science and technology, the trend of combining computer technology and communication technology is becoming more and more obvious and has made certain achievements. Although the development of computer science and technology is very short, but the scope of its application for people's lives and the reform and development of related work is unparalleled by any other technology. The application of computer science and technology basically involves all aspects of domestic life, from the most basic food, clothing, housing and transportation to human communication and all kinds of production work, at the same time, computer science and technology is also the core of other technological reforms and innovations, and other technological advances relying on computer science and technology, cloud computing technology, cloud storage and its intelligent regulation and control of the new technology have achieved a certain degree of fundamental independent innovation. This research will focus on the computer science and technology, which is the core of other technological reforms and innovations. This study will systematically analyze the practical application and development of computer science and technology, and carefully sort out the main reasons for the development of computer science and technology and the future development of the market outlook.

Application of Computer Science Technology in Computer Education

The arrival of the era of big data, making the computer in all walks of life are widely used in the teaching process is also inseparable from the application of computers, some of the traditional teaching methods have also been replaced by computer technology, computer teaching has become the mainstream of the times, and has become a very effective means of teaching as well as teaching tools. The application and popularization of computers has brought great convenience to people's daily life, and has a great effect on the improvement of teaching quality. In the process of computer popularization, it is widely used in real life. And the computer as an education and learning tools, for computer education itself has great significance. In assisting teachers in the management of teaching and practical work at the same time, but also to provide students with richer learning resources and learning efficiency, so that the teaching and learning process is more concise and easy. The arrival of the era of big data, making the computer in all walks of life are widely used in the teaching process is also inseparable from the application of computers, some of the traditional teaching methods have also been replaced by computer technology, computerized teaching has become the mainstream of the times, and has become a very effective means of teaching as well as the teaching tools of the times. The application and popularization of computers has brought great convenience to people's daily life, and has a great effect on the improvement of teaching quality. Especially in the cultivation of talents in colleges and universities, the application of computers can have a great role in promoting the cultivation of innovation ability of college students. This article briefly analyzes the application of computer science and technology in computer education, starting from computer science and technology.

Exploring the Application of Computer Science and Technology in the Context of Big Data

In recent years, with the advancement of computer technology, the IT industry has seen new opportunities. With the continuous development of information technology, computer technology and information technology are also changing. However, with the development of technology, the needs of users are also changing, which puts forward higher requirements for the development of computer technology. Therefore, how to apply computer technology to big data is an important problem that needs to be solved urgently. In the era of big data, the combination of information technology and people's work and life can greatly improve people's work efficiency and quality of life. Therefore, it is necessary for us to do some in-depth research on how to utilize computer technology to deal with a large amount of data. With the arrival of the big data era, the development of human society is more and more manifested in science and technology and informationization, as well as the mutual integration of information and industry.

Edge Computing-Based Athletic Ability Testing for Sports

INTRODUCTION: After the 2008 Olympic Games, China has gradually become a prominent sports country, but there is still a certain distance from a sports power. China should improve the level of sports ability testing while continuously strengthening the construction of sports power. At present, the method of sports professional athletic ability tests in China can not be better combined with algorithms, so it is crucial to study the athletic ability test of edge computing. OBJECTIVES: To improve the ability of sports testing of sports majors in China, to improve the technical level of the construction of China's sports power, to solve the problem that China's sports ability testing cannot be better combined with algorithms, and to solve the problem that China's physical education disciplines cannot be well applied to computer technology. METHODS: Use the motor function theory and edge computing to establish the model needed, test the athletic ability of swimming sports according to the model, and analyze the advanced level and shortcomings of China's swimming sports with measurement according to the results of the athletic ability test. RESULTS: Firstly, edge computing and other algorithms are more accurate for professional athletic ability testing of swimming sports, and improving the iteration level of algorithms can improve the problem of the inconspicuous effect of sports testing; secondly, edge algorithms combined with traditional testing tools can calculate athletic ability more accurately in athletic ability testing. CONCLUSION: China should vigorously improve the level of edge computing and other algorithms to improve the problem of China's sports disciplines not being able to apply computer technology well and technically improve the level of sports training.

Analysis of Piano Online Teaching System Based on Maximum Logarithm MPA Algorithm Technology

The application of computer technology has revolutionized and promoted the traditional mode of piano teaching. Nowadays, many companies and institutions have begun to apply computer technology to online piano teaching. This paper analyzes the difficulties faced by students in piano teaching and the development of piano assistant practice and summarizes the demands of parents, teachers, students, and principals for online piano teaching system. Based on this, this paper designs and implements an online piano teaching system without special hardware. This system improves the existing maximum logarithm MPa algorithm and improves the detection performance while keeping the complexity low. Combined with the special structure of parallel projection, a generalized automaton model of hybrid system is proposed, and five elements are used to describe the continuous and discrete behaviors in the hybrid subsystem. It not only keeps the advantage of low complexity of the original Max log MPa algorithm, but also obtains better detection performance.

The application of data encryption technology in computer network system

Network security as the focus of the application of computer technology, in the construction and development of modern society, in the face of the rapid development of Internet technology, worldwide network communication and network trade, how to effectively protect the security of network data and information, to solve the security problem of network system, is the main issue discussed by the academic circle. As an important basis for ensuring computer information security, data encryption technology plays an important role in effectively improving network security construction. Therefore, on the basis of understanding the concept of data encryption technology, according to the operation requirements of computer network system in the new era, this paper mainly explores the application of data encryption technology in computer network system to clarify the main direction of rapid development of network technology in the future.

In memory of Igor Nikolaevich Kiselyov (03/15/1947 - 01/19/2024)

This memorial article is dedicated to the memory of Igor Nikolaevich Kiselyov, a man who did a lot in the field of informatization of historical science and archival business. Igor Nikolaevich started working as a quantifier historian, a specialist in the field related to the application of mathematical methods and computer technologies in historical research. He actively participated in research projects on historical demography and other areas of historical science, in 2002 for a series of works on the history of the Russian population in the 1930s, Yu.A. Polyakov, V.B. Zhiromskaya and I.N. Kiselyov were awarded the V.O. Klyuchevsky Prize of the Russian Academy of Sciences. In the 1990s, the main Igor Nikolaevich became interested in archival issues: issues of informatization of archival business, creation and analysis of online archival resources. Igor Nikolaevich was one of the leading experts in the field of historical informatics, was a member of the Council of the Association "History and Computer", conducted teaching work as an associate professor at the IAI of the Russian State University. The article uses the memoirs of colleagues, materials of publications by I.N.Kiselyov in historical journals, in the journals "Domestic Archives" and "Archivist's Bulletin", "AIK Newsletter". as well as materials about his leadership in the development of the Concept and Program for the Informatization of Archival Affairs in Russia, the first version of the Archives of Russia portal, and participation in many archival information projects. The article highly appreciates the research work of I.N.Kiselyov and his scientific and organizational activities at the Rosarchive, where he headed departments related to informatization, the organization of research work of the Federal Archival Service of Russia and the introduction of automated archival technologies. Igor Nikolaevich was seriously engaged in both theoretical and methodological problems of archival science. Literally until the last day, Igor Nikolaevich conducted active scientific and organizational work in breakthrough areas of archival science. His latest article "On the use of artificial intelligence in text recognition" was published in the first issue of the VNIIDAD Bulletin posthumously, and a joint scientific report "The use of artificial intelligence in document management in archives: practice, trends and prospects" was presented by his colleagues after Igor Nikolaevich passed away.

Interactive experience of sculpture design based on virtual reality technology

Abstract The application of computer technology provides new ideas for the design of sculpture works. In this paper, with the support of virtual reality technology, the pixel set of each color block is extracted from the actual image to determine the location of the center point of the color block. Based on the extracted information, a visual color marking method is used to realize the 3D registration of the sculpture scene. In the virtual scene, through the virtual modeling of the sculpture work, a spline surface model was generated by applying sparse image sequences and optimally adjusted to transform the surface piece control point problem into a quadratic function of the network vertices. The mathematical logic properties of the virtual reality sculpture work wind direction improved by 22.5 points, the mathematical logic properties of the light design improved by 25.8 points, and the mathematical logic properties of the shadow design improved by 23.1 points. The virtual reality technology provides an interactive experience for the design of sculpture works.

Emotional Computing Technology Applications in Information Systems Security and Their Risk Prevention

Abstract This paper applies the emotion extraction method based on emotion lexicon to the group emotion analysis of the information system, combines the vector space model to process the text emotion in the information system, expresses the emotion in the form of vectors, and divides the different types of emotion according to the distance between the emotion vectors for identification. The five-level index system in fuzzy mathematics is chosen to measure the value of emotional intensity, and by analyzing the emotional state of the group in the information leakage incident, a decision in line with the user’s emotion is made based on the emotion of the information system security. Accordingly, the security defense index of the information system is improved according to the information security risk index. The results show that in identifying the emotions of the information system security events, the group’s emotions are mainly biased towards the negative. The proportion of negative emotions is the largest of 98%, which indicates that attention should be paid to the confidentiality of the user group’s information in the security of the information system. The maximum security event risk value in the evaluation in the information system is in the T8 period, with a value of 0.819, indicating that the security defense of the information system should be strengthened in the T8 period.

Intelligent scheduling and optimization of microenergy grid: the application and development of computer technology

Abstract For the intelligent management of micro-energy grid, the limitations of traditional scheduling optimization methods have begun to be highlighted, and computer technology has become a new generation of power system support means. This paper proposes a state estimation method based on smart grid measurement technology, and for the characteristics of micro-energy grid anomaly data, adopts the sampling value detection anti-anomaly data method based on amplitude comparison to estimate the grid dynamic process. Based on the grid state estimation dataset, a smart grid scheduling strategy based on cloud computing is constructed. The conditional value-at-risk of the penalty function of generation cost, grid cost, and motion cost is used as the objective function of the dispatch modeling, and the solution method for the optimization of the value-at-risk model is provided. Finally, an example has been built for this dispatch model to access a simulated micro-energy grid system that contains multiple nodes. The results show that the error between the voltage amplitude obtained from the dynamic state estimation of the micro-energy grid using the method of sampled-value detection against anomalous data and the real value is no more than 0.5%, and the data scheduling error rate of the cloud computing does not fluctuate significantly when dealing with a large number of scheduling data tasks, all of which are controlled to be below 0.0015. The scheduling strategy based on cloud computing has a certain degree of generalization when dealing with random and variable source and load scenarios, which can effectively improve the level of power grid business applications and complete the corresponding intelligent scheduling.

The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review.

Implementation of clinical practice guidelines (CPG) is a complex and challenging task. Computer technology, including artificial intelligence (AI), has been explored to promote the CPG implementation. This study has reviewed the main domains where computer technology and AI has been applied to CPG implementation. PubMed, Embase, Web of science, the Cochrane Library, China National Knowledge Infrastructure database, WanFang DATA, VIP database, and China Biology Medicine disc database were searched from inception to December 2021. Studies involving the utilization of computer technology and AI to promote the implementation of CPGs were eligible for review. A total of 10429 published articles were identified, 117 met the inclusion criteria. 21 (17.9%) focused on the utilization of AI techniques to classify or extract the relative content of CPGs, such as recommendation sentence, condition-action sentences. 47 (40.2%) focused on the utilization of computer technology to represent guideline knowledge to make it understandable by computer. 15 (12.8%) focused on the utilization of AI techniques to verify the relative content of CPGs, such as conciliation of multiple single-disease guidelines for comorbid patients. 34 (29.1%) focused on the utilization of AI techniques to integrate guideline knowledge into different resources, such as clinical decision support systems. We conclude that the application of computer technology and AI to CPG implementation mainly concentrated on the guideline content classification and extraction, guideline knowledge representation, guideline knowledge verification, and guideline knowledge integration. The AI methods used for guideline content classification and extraction were pattern-based algorithm and machine learning. In guideline knowledge representation, guideline knowledge verification, and guideline knowledge integration, computer techniques of knowledge representation were the most used.

Problems and Countermeasures in the Application of Computer Technology in Project Management

In the context of rapid socio-economic development, engineering projects have gradually achieved remarkable results, for engineering projects, the project volume is relatively large, the overall construction period is long, the management of the implementation of the management work is more difficult, and at the same time for engineering projects, the quality of the project is often more stringent requirements. Therefore, when carrying out management work in engineering projects, computer application technology should be actively utilized to promote the overall level of project management to ensure management quality and management efficiency. In this paper, the importance of computer technology in engineering project management and the use of elaboration, at the same time, in the process of engineering project management deficiencies in the analysis and put forward the corresponding measures.

Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care

AbstractArtificial intelligence (AI) is a computer technology for mathematical modeling that uses nonlinear statistical analysis. While multilayer perceptron network is used for prediction of clinical outcome, convolutional neural network is used for detection of lesion in an image and its classification. In this issue of the journal, an article reviewed the impact of AI in colorectal polyp detection and characterization. This is an upcoming area of gastroenterology, which has already reached the doorstep of practicing clinicians and in the near future, it may bring a paradigm shift in clinical practice. It is expected that this thought-provoking review will stimulate endoscopists to take up research in this important field of application of an AI-based computer technology for endoscopic detection of gastrointestinal lesions.