Application Of Computer Technology Research Articles

How does digital transformation affect innovation quality?

In the digital era, digital transformation is disrupting traditional business models and innovation activities. Numerous firms have expedited their endeavors in digital transformation to augment their manufacturing capabilities, operational efficiency, and competitive standing. Despite the increasing scholarly attention on the pivotal role of digital transformation in economic progress, there exists a paucity of research delving into the intricate nexus between digital transformation and innovation quality. The objective of this study is to investigate the relationship between digital transformation and innovation quality. Leveraging annual report data and patent information from Chinese listed companies spanning from 2012 to 2021, we have identified that digital transformation significantly enhances innovation quality. Interestingly, upon further investigation into the relationship between the five sub-dimensions of digital transformation (artificial intelligence, blockchain, cloud computing, big data, and digital technology applications) and innovation quality, positive and significant correlations were observed with artificial intelligence, cloud computing, big data, and digital technology applications, while blockchain did not exhibit a significant impact. Furthermore, the study reveals that the impact of digital transformation on innovation quality varies depending on property rights and regional location. Specifically, this promotional effect is significant only in non-state-owned enterprises and in the central and eastern regions. Overall, this paper enriches the research on digital transformation and innovation quality, providing valuable insights to promote the advancement of digital transformation levels for better serving the high-quality development of the real economy.

Aplikasi Akuntansi Pengolahan Transaksi Pendapatan Dan Belanja Daerah Berbasis Web

Computerized accounting is a system used to process company transaction data by using computers as a technological medium for application work processes and to produce financial reports for a company. The use and application of computer technology in office activities is a requirement and fairness that is needed, without having to eliminate manual systems. The use of computers will be able to improve employee performance in supporting activities in an agency or company. Financial management within the regional scope is the regional task and authority in organizing regional agencies which includes several sections including budgeting, income, expenditure, and accounting and accountability. The aim of this research is to design a web-based computerized accounting system for regional income and expenditure in Wates Village. And create a computerized accounting system that can assist the process of recording and storing web-based regional income and regional expenditure transaction data which produces regional income and expenditure report information. In creating a computerized system for regional income and expenditure, the software used is Sublime Texet3. Data storage uses MySQL and programming languages ​​use PHP and HTML. The research results show that the computerized accounting system makes it easier for finance employees to record financial transactions. Then financial reports are produced more quickly and data errors can be minimized and more structured data is stored in the database. So this new system really helps agencies in Wates Ngaliyan Village, Semarang, where the application is equipped with a menu for input, processes and reports that process transactions, both income and expenditure.

Review of the data-driven approach applications for analyzing thermophysical properties of composites

The paper presents an analysis of the possibilities and prospects of a data-driven approach for studying the thermo-physical properties of composite materials. An overview of key concepts and machine learning methods in materials science is provided, revealing their potential for studying and optimizing composite properties. The use of neural networks for predicting thermal characteristics is discussed. A comparison between the data-driven approach and traditional methods of analysis is made, identifying their advantages and disadvantages. Thermo-physical parameters of composites and modern methods of their measurement and prediction are described. The application of computer technologies for modeling the thermo-physical properties of composites and their manufacturing processes is considered. The research results may be useful for further development of materials science and composite materials production.

Identification of Deformation Effects While Shaping the Material Surface Relief Due to Burnishing Treatment.

This study analyses a set of phenomena occurring in the burnished surface layer at the initial moment of deformation formation. The aim of the present research was to explain the phenomena occurring in the top layer of the material during burnishing. The presented analyses include selected laboratory and experimental studies of the process involved in forming burnished surface layers. As shown, conducting an analysis of these processes is purposeful and important because the processes affecting final deformations determine the definitive properties of the burnished surface layers. The final results should help to increase the durability and smoothness of the surface of the products obtained. The feasibility of applying computer technology to determine the three-dimensional shape of the deformation zone formation based on measurements of the stereometry of the contact zone of the burnishing tool with the workpiece material is presented. The process of forming a deformation zone was analysed, revealing that irregularities left over from prior treatment are permanently deformed, and a new structure of irregularities is formed on the machined surface, conditioned by the mechanical, geometric, and kinematic factors of the process. Crucial to this are qualities such as the burnishing load (pressure), the type, shape, and dimensions of the tool, the properties of the workpiece material, and the roughness of the surface before burnishing. The analyses presented here include the first stage of processing, in which initial contact is made with the workpiece, and the period of actual processing, during which plastic deformation of the material occurs in three perpendicular directions, leading to the formation of a material wave on the machined surface just in front of the burnishing tool.

Advances in flight control systems for modern commercial aircraft

Abstract. In consequence of the accelerated evolution of aviation technology, the flight control systems of commercial aircraft have undergone substantial technological advancement and system optimization. This paper presents a comprehensive analysis of the recent advancements and future trends in flight control systems for commercial aircraft. The fundamental concepts and historical evolution of flight control systems are delineated, with a particular emphasis on the evolution of autopilot systems and the technological advancements of flight control systems (FCS). Furthermore, it examines innovations in flight control algorithms, including adaptive control and intelligent algorithms, and investigates the impact of fault-tolerant design on flight safety. In terms of system integration, the integration of flight control systems with navigation and communication systems, as well as performance enhancements resulting from system optimization, is explored. In addition, it examines the potential impact of intelligence and networking on future flight control systems, with a particular focus on the prospects for the application of artificial intelligence, quantum computing, and new material technologies. The synthesis of these areas provides a systematic understanding of the technological evolution and future development of flight control systems for commercial aircraft.

Preface

In 2024, the highly anticipated 4th International Conference on Electronic Communication, Computer Science and Technology (ECCST 2024) was held in Shanghai, China during September 20th to 22nd. The conference aimed to provide a high-end platform for experts, scholars, researchers, and enterprise representatives in the fields of electronic communication and computer science and technology from all over the world to present their research results, exchange academic views, and discuss future development trends. The conference invited many famous experts and scholars from home and abroad, who together discussed the latest research progress, technical breakthroughs and application practices in the fields of electronic communication and computer science and technology. The keynote speech session was a highlight of the conference, during which keynote speakers shared their latest achievements and experiences in their respective research fields, bringing an academic feast to the participants. In addition, ECCST 2024 also set up a number of oral and poster presentation sessions. Attendees had an in-depth discussion on the topics they are interested in, exchanged ideas and shared experiences with their peers, and jointly promoted the development in the fields of electronic communication and computer science and technology. The conference proceedings, as one of the important outcomes of the conference, gathers the wisdom and insights of the participants and provides valuable academic resources for the development of related fields. It covers a wide range of research directions of electronic communication and computer science and technology, including Digital Circuits, Low Power Design and VLSI Physical Design, Signal and Information Processing, Communication Network and Systems, Computer Programming, and many other aspects. The content of the proceedings includes both research on fundamental theories and exploration of application technologies, fully demonstrating the diversity and richness of the fields. ECCST 2024 has a far-reaching impact. Firstly, it provided an international communication platform for experts and scholars in the fields of electronic communication and computer science and technology, facilitated academic exchanges and cooperation between different countries and regions, promoted the development and application of electronic communication and computer technologies in universities and enterprises, and injected new vitality into the innovation and development of related disciplines industries. Secondly, the papers included in the conference proceedings are published in the Journal of Physics: Conference Series after a strict review process, and will be submitted to international famous databases, such as EI Compendex and Scopus, for indexing, which provides a strong guarantee for the promotion and dissemination of these academic achievements. Here, we would like to thank all the people involved in ECCST 2024 for their dedication and efforts. Acknowledgement goes to the organizing committee members for their careful planning and organization, which provided a strong guarantee for the smooth convening of the conference; to the keynote speakers for their wonderful speeches, which brought valuable academic insights to the participants; to the authors for their active participation, which contributed to the richness of the conference proceedings; and to all the attendees for their enthusiastic participation and support, which made ECCST 2024 a complete success. The Committee of ECCST 2024 List of Committee Member is available in this Pdf.

Application and Effect of Computer-Aided Design in Table Tennis Training

The application of computer technology in the field of sports training is more and more extensive. This paper discusses the application and effect of computer-aided design in table tennis training. More and more automatic control systems which rely on digital model control appear in people’s lives. There is also a lack of introduction of automatic control systems for the training of table tennis players to improve their training efficiency and reaction ability. Therefore, based on an artificial intelligence algorithm, a genetic algorithm is integrated. According to the patting and kicking action of the automatic control system and the camera imaging device, the feature points in the motion process are divided. Based on an artificial intelligence algorithm, feature points are taken as initial values. Through testing, the matrix orthogonality of motion attitude is determined. The influence of computer-aided design on the training effect of table tennis was analyzed. Finally, we will summarize the advantages of computer-aided design in table tennis training and its future development direction.

Research on the Application of Computer Technology in Biostatistics

This paper explores the application of computer technology in biostatistics, focusing on the technological advancements and their impact on data management, data processing and analysis, and data visualization. With the development of computer technology, data storage and management methods have significantly improved, particularly with the introduction of database systems and big data technologies, which have greatly enhanced the efficiency and accuracy of handling biostatistical data. Additionally, the application of machine learning and artificial intelligence has made biostatistical data analysis more intelligent and automated, providing new tools for identifying and predicting complex data patterns. Furthermore, advanced data visualization techniques have enhanced the interpretability of statistical results through clear graphical presentations, promoting the application of biostatistics. Through the analysis of specific case studies, this paper demonstrates the practical effects and challenges of computer technology in improving biostatistical research capabilities. Finally, the paper anticipates the future impact of emerging computing technologies, such as quantum computing, on biostatistics and suggests future research directions and recommendations.

Design and Development of the Android-Based ‘Desa Bersinar Banyumas’ Application

Narcotics are natural, synthetic, or semi-synthetic substances that produce hallucinations and are addictive. Drug abuse can have a negative effect on the user's psyche and also death. BNN implements the Drug Clean Village or Desa Bersinar program to create a drug-free environment. Volunteers or officers collect data on drug users manually by filling in data into a form. In collecting data on drug users, volunteers or BNN officers cannot synchronize data so data collection is prone to duplicate data. The application of computer technology to the Android application can be used as a solution to overcoming the problem of data collection on narcotics users in the Bersinar Village area. The application created with an Android-based application can be used anytime and anywhere. The purpose of this research is to make the Desa Bersinar (Drug Clean) application to record Android-based narcotics users and to conduct testing on the Desa Bersinar application. The research method used in making the Desa Bersinar application is to use the Agile Development System method. The Agile method consists of several stages, namely plan, design, develop, test, deploy, review, and maintenance. From the results of this study it is a Bersinar Village application will be produced that can help volunteers or BNN officers in Banyumas Regency in recording narcotics users in Bersinar Village.

Using maple software to reduce problem solving errors in teaching mathematics to future computer science teachers

This article discusses some possible uses of Maple in mathematics. Mathematics is currently in a constant state of development in the application of computer technology in education and research. The use of algebraic systems in education is still relatively small, but growing research and interest in them point to their widespread use. There are complex and abstract ideas that present an insurmountable obstacle for many students in solving basic concepts and proving many mathematical concepts. One of the most powerful computer programs that helps in learning mathematics is Maple. Maple allows you to explain classic mathematical concepts in a practical and effective way. The effectiveness of Maple is due to its ability to visualize concepts and solve complex problems that are difficult to solve manually. Maple's features help students develop new methods and better understand, learn and teach complex concepts, advanced mathematical concepts and more. Ideal for students who are developing problem solving skills and advanced development skills. Allows students to solve mathematical problems step by step. Students can practice using various integration rules.

Edge-featured multi-hop attention graph neural network for intrusion detection system

With the development of the Internet, the application of computer technology has rapidly become widespread, driving the progress of Internet of Things (IoT) technology. The attacks present on networks have become more complex and stealthy. However, traditional network intrusion detection systems with singular functions are no longer sufficient to meet current demands. While some machine learning-based network intrusion detection systems have emerged, traditional machine learning methods cannot effectively respond to the complex and dynamic nature of network attacks. Intrusion detection systems utilizing deep learning can better enhance detection capabilities through diverse data learning and training. To capture the topological relationships in network data, using graph neural networks (GNNs) is most suitable. Most existing GNNs for intrusion detection use multi-layer network training, which may lead to over-smoothing issues. Additionally, current intrusion detection solutions often lack efficiency. To mitigate the issues mentioned above, this paper proposes an Edge-featured Multi-hop Attention Graph Neural Network for Intrusion Detection System (EMA-IDS), aiming to improve detection performance by capturing more features from data flows. Our method enhances computational efficiency through attention propagation and integrates node and edge features, fully leveraging data characteristics. We carried out experiments on four public datasets, which are NF-CSE-CIC-IDS2018-v2, NF-UNSW-NB15-v2, NF-BoT-IoT, and NF-ToN-IoT. Compared with existing models, our method demonstrated superior performance.

Application of edge computing and IoT technology in supply chain finance

This study proposes an IoT data management framework based on blockchain and edge computing and conducts detailed simulation experiment design and performance evaluation for the field of supply chain finance. Previous methods often struggled with high latency, limited scalability, and inadequate risk management, and to address these issues, the experimental platform includes traditional centralized systems, distributed systems, blockchain-based systems, and edge computing + blockchain systems. By monitoring indicators such as data processing delay, data transmission delay, data retrieval time, system throughput, and data integrity of each platform, and introducing evaluation formulas for credit risk, operational risk, and market risk, the performance of different systems in processing supply chain financial data is comprehensively analyzed. The experimental results show that the edge computing + blockchain system performs well in data processing efficiency, security, real-time, and system throughput, especially under high load conditions. Our market risk value is reduced to 0.015. This framework improves the efficiency and security of data transmission and effectively reduces credit risk and operational risk, providing an efficient and reliable solution for data management in supply chain finance.

Anomalous intensification of vortex heat transfer in the case of separated air flow over an inclined groove in a hot isothermal region of a flat plate

Anomalous heat transfer intensification in turbulent separated air flow over a long groove of moderate depth made in a plate inclined at an angle of 45°to the freestream is revealed both experimentally and numerically. The region under investigation includes a rectangle heated to 100°C by saturated water vapor. The Reynolds number varied from 103to 3×104. Using the gradient heatmetry the twofold increase, as compared with the case of a flat plate, of the heat transfer coefficient on the groove bottom is established at the Reynolds number Re = 3×104. The relative Nusselt number in different regions of the groove is determined both in the physical experiment and in the RANS calculations with the application of multiblock computational technologies and the SST model in the VP2/3 software package. The results are in good agreement in the turbulent flow regime at Re = (5, 10, and 30) ×103.

Research on the Application of Big Data and Cloud Computing Technology in Smart Campus

The current education field is experiencing an innovation driven by big data and cloud technologies, and these advanced technologies play a central role in the construction of smart campuses. Big data technology has a wide range of applications in student learning behavior analysis, teaching resource management, campus safety monitoring, and decision support, which improves the quality of education and management efficiency. Cloud computing technology supports the integration, distribution, and optimal use of educational resources through cloud resource sharing, virtual classrooms, intelligent campus management systems, and Infrastructure-as-a-Service (IaaS) models, which reduce costs and increase flexibility. This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses, showing how these technologies can contribute to the development of smart campuses, and laying the foundation for the future innovation of education models.

Application of Big Data Analysis and Cloud Computing Technology

Application of Big Data Analysis and Cloud Computing Technology

Genetic fuzzy rules and hybrid QDCNN-F-DSAE for detecting attacker behavior with tuning of firewall

ABSTRACT The application of computer technology is increasing quickly as the field of information technology develops over time. Because of the growth of computer networks, there is a rise in network attacks. Moreover, the majority of transactions are conducted via the Internet, and then the web application security is becoming increasingly important. A network firewall shields the web servers from unauthorised and dangerous traffic. In this work, the hybrid Quantum Dilated Convolutional Neural Network fused Deep-Stacked Auto Encoder (QDCNN-F-DSAE) model with Genetic Fuzzy System (GFS) is developed for network protection. With the utilisation of genetic fuzzy system (GFS) and firewall tuning, the QDCNN-F-DSAE identified the attack, ransomware activity, and prompt decision-making. The data offered by the simulated environment is used to make decisions, and the decisions should be made quickly within a few seconds using the proposed QDCNN-F-DSAE with GFS. Furthermore, it identifies the attacks and alerts the users to store the data from the supplied source. The malicious function and protected private Local Area Network (LAN) are discovered and removed by the firewall after the formation of genetic fuzzy rules. Moreover, this model is estimated using the accuracy, sensitivity, and specificity measures that offered the finest values of 0.915, 0.908, and 0.920.

A Study on the Daylighting, Energy Consumption, and Climate Adaptability of Curved Mesh Shading Based on the Parametric Performance Design Method

Building shading forms are becoming increasingly diversified, driven by both building performance requirements and architectural aesthetics. The application of computer technology in shading design and performance evaluation is becoming increasingly popular. This study adopted a parametric performance design method and created a one-click workflow for parametric curved mesh shading design and performance evaluation based on the Grasshopper platform and Ladybugtools. Applying this workflow, this paper takes five typical cities in different climate zones in China as examples to analyze the impact rules of curved mesh shading parameters (blade width, number of horizontal grids, and number of vertical grids) on building daylighting and energy consumption and explore the application potential of curved mesh shading. This study found that curved mesh shading has the best potential to improve daylighting in Harbin and can increase the annual average UDIa (300~3000 lux) by 7.42%. In Guangzhou, curved mesh shading has the highest potential for energy saving, which can reduce annual energy consumption by 14.8%. This study can provide theoretical, methodological, and data support for the optimal design of curved mesh shading.

Edge computing and AI-driven intelligent traffic monitoring and optimization

Intelligent transportation system is a comprehensive system engineering, involving real-time data processing, security and privacy protection and other challenges. This paper discusses the key role of edge computing in intelligent transportation, especially its combination with SLAM technology. Edge computing enables faster data processing and response times by placing computing and data storage resources near the data source and end users, improving the efficiency and reliability of intelligent transportation systems. At the same time, edge computing can also enhance information security and privacy protection, and bring more possibilities for the future development of intelligent transportation systems. In the future, with the progress and development of technology, we can look forward to the deeper application of edge computing and SLAM technology in the field of intelligent transportation, bringing more innovation and development to smart city transportation.

Designing Small Molecule PI3Kγ Inhibitors: A Review of Structure-Based Methods and Computational Approaches.

The PI3K/AKT/mTOR pathway plays critical roles in a wide array of biological processes. Phosphatidylinositol 3-kinase gamma (PI3Kγ), a class IB PI3K family member, represents a potential therapeutic opportunity for the treatment of cancer, inflammation, and autoimmunity. In this Perspective, we provide a comprehensive overview of the structure, biological function, and regulation of PI3Kγ. We also focus on the development of PI3Kγ inhibitors over the past decade and emphasize their binding modes, structure-activity relationships, and pharmacological activities. The application of computational technologies and artificial intelligence in the discovery of novel PI3Kγ inhibitors is also introduced. This review aims to provide a timely and updated overview on the strategies for targeting PI3Kγ.

Application of Intelligent Cloud Computing Technology in Optical Communication Network Security of Smart Grid

In order to improve the security of smart grid optical communication network, this paper combines intelligent cloud computing technology to build a security system of optical communication network of power grid. In the aspect of improving communication security performance, multi-user access is realized by non-orthogonal power domain segmentation, and different users use different powers to add and superimpose the same spectrum resources, so as to increase spectrum utilization. At the sending end, this paper improves the safe channel capacity of users by means of pre-coding and artificial noise, and realizes the safe transmission of information. In terms of transmission stability, the cloud computing platform is used as a data processing platform, and multiple nodes are processed synchronously through optical communication state identification, which can more effectively improve the speed of optical communication state identification data. In order to test the performance of the power grid information dispatching model designed in this paper in optimizing power grid configuration and improving power grid load, simulation experiments are carried out. Through the experimental analysis, we can see that the communication method proposed in this paper can accurately identify the intrusion factors, and can effectively improve the security of smart grid optical communication network.