Development Of Computer Network Technology Research Articles

The Applied Research of E-commerce Technology from the Perspective of Communication Studies

With the rapid development of computer network technology and information technology, the e-commerce mode is constantly innovated and applied, which has injected new vitality into the commercial activities. In terms of technology, advanced technologies such as mobile payment, artificial intelligence, big data and AR technology have been widely used in the field of e-commerce, and the innovation of e-commerce technology has also promoted the enrichment of content and diversification of information dissemination. As a subject of information communication and communication, communication science provides important theoretical support and practical guidance for the development of e-commerce technology. From the perspective of communication science, this paper discusses in-depth the innovation and application of e-commerce technology, aiming to reveal the important role of the principle of communication science in the development of e-commerce technology, and discuss how to promote the sustainable development of e-commerce industry through technological innovation and application.

Weak signal detection method based on nonlinear differential equations

With the rapid development of computer network technology, it is often necessary to collect weak signals to collect favorable information. The development of signal detection technology is ongoing; however, various issues arise during the detection process. These issues include low efficiency and a high signal noise threshold. However, many problems will be encountered in the process of detection. In order to solve these problems, the nonlinear chaos theory is introduced to detect signals, and the simulation experiments of weak pulse signals and weak partial discharge signals are carried out respectively. The experimental results showed that the detection effect was remarkable in the quasi periodic state, and it had a good detection effect for weak pulse signals. At a signal-to-noise ratio of -25 dB, double coupling system, two-way ring coupling system, and single ring coupling system displayed detection success rates exceeding 98%. Meanwhile, the detection success rate of the strong coupling system was only 12%. Even at a noise signal ratio as low as -40 dB, the dual coupling system still maintained a detection success rate above 80%. The simulation results of partial discharge signal detection showed that there was a high fluctuation only at 2 ms, and the rest was basically stable at about 0 V, indicating that the system had a strong suppression effect on Gaussian white noise. When comparing the simulation results of the detection of the new chaotic system and the double coupling system, it was found that the new chaotic system has a superior impact in detecting weakly attenuated partial discharge signals. Through analysis of the system’s dynamic behavior, the research confirms its rich dynamic characteristics and sheds light on the reasons for phase state mutation and missed detection. The noise system is utilized for comparing the performance of various systems, with the goal of enhancing the system’s detection capability.

Analysis of Network Design and Management Using PPDIOO At SMA Labschool Unesa 1

The development of computer network technology has significantly impacted global connectivity and technological innovation. Computer networks, which enable the seamless integration and expansion of network capabilities, have revolutionized communication, information access, and business operations. SMA Labschool Unesa 1, a digital-based school, requires robust network management to support its education delivery system. Government regulations also mandate the presence of a computer lab in educational institutions to support the learning process. Therefore, the research aims to analyze and design a computer network architecture using the PPDIOO model on Cisco Packet Tracer for implementation at SMA Labschool Unesa 1. As a result, the analysis of network design and management in this school has been done quite well. The use of the Cisco Packet Tracer application can create a good network design and successfully connect all network devices with ping testing that has been done. As well as for better network management, after being implemented in reality it is also necessary to optimize periodically.

基于计算机网络的多媒体技术运用分析

In recent years, with the rapid development of computer network technology, multimedia technology has emerged. Based on computer network, multimedia technology can meet people's needs for life and production, improve the efficiency of computer network operation, and improve the effect and scope of network services, which is of great significance. Based on this, this article analyzes computer technology and multimedia technology, proposes application strategies for computer network-based multimedia technology, analyzes key elements of computer network-based multimedia technology application, and studies simulation and simulation signal elements, graphic and sound elements. At the same time, it proposes the application approach of computer network-based multimedia technology, aiming to enhance the fusion effect of computer network technology and multimedia technology through the application of intelligent multimedia terminals, efficient integration and transmission of information, and the improvement of network audio-visual experience.

Research on computer network security protection technology based on a superiority algorithm

Abstract The rapid development of computer network technology has brought great convenience to all walks of life and made the transmission of various information faster. A secure and reliable computer network environment has a critical impact on the functioning of the computer network. In this paper, we derive and analyze the detection probability, false alarm probability and judgment threshold of the new algorithm based on the results of random matrix theory based on the feature-fitting superiority algorithm, which can exhibit better detection performance. In the framework of matrix theory, the superiority algorithm reduces the problem of network security to some extent and improves the performance relative to other fitted superiority detection algorithms. For common threats to network security, give the corresponding ideas to deal with network security issues from a technical perspective. The detection rate and false alarm rate are calculated by testing the total number, the number of intrusion bars, the number of detected intrusion bars, and the number of false alarm bars detected by the system, respectively. The test results show that the average detection rate is still greater than 94%, the average false alarm rate has improved, and the average false alarm rate is controlled at about 3.1%, which can fully meet the system requirements. Give reference to further enhance the reliability and stability of network security systems.

Implementation of IPv6 using 6RD Method on Power Line Communication Network

The development of computer network technology is rapidly advancing in response to society's increasing demand for network services. Currently, the most widely used network protocol is IPv4, but it has some limitations. To address these limitations, a new network protocol, IPv6, has been developed. More and more new network devices are using IPv6 as their IP address, while many existing technologies and internet devices still use IPv4. Therefore, a mechanism is required to transition from IPv4 to IPv6. The 6RD tunneling method is used in Power Line Communication networks to connect two or more network devices using electrical wiring as a data transmission medium. The Power Line is equipped with a charger for a laptop and a drill, creating a load to test the performance of the Quality of Service(QoS) with the throughput parameter. The measured Rerate throughput upload was 11800 Kbit/s without any additional electrical load, 9377.8 Kbit/s with a laptop charger as an additional load, and 6082.2 Kbit/s with a drill as an additional load. The Rerate throughput download was 8098.8 Kbit/s without any additional electrical load, 7782.8 Kbit/s with a laptop charger as an additional load, and 5996 Kbit/s with a laptop charger and a drill as additional loads. With this transition mechanism, IPv4 can communicate with IPv6, allowing for more efficient network communication.

New Media Development Model Based on Computer Network Technology

With the accelerating development of the information age, the level of science and technology is constantly improving. The development of NM(NM) has become the general trend, and NM has gradually become an important place for people to obtain information resources and media information. Nowadays, the way people exchange information has also undergone major changes, and the relationship with computer network technology is deepening, making people's lives more colorful. Internet NM is not only developing itself, but also promoting the development of other media, allowing traditional media to feel the charm of the Internet. In order to promote the further development and improvement of NM, we should continue to extend the NM development model under computer network technology so that we can accurately grasp the development trend of NM and promote the optimization of the information market. NM as a new means of information dissemination. It has an important impact on social and economic development, and can spread the latest real-time development to the general public, and at the same time enrich people's lifestyles. Therefore, we should constantly innovate the media development model and promote the sustainable development of NM according to the characteristics of the development of the times. This article analyzes and studies the influence of the development of computer network technology on new Internet media, hoping to provide a reference for the further development of NM on the Internet.

Recent Applications of Artificial Intelligence in Computer Network Considering Big Data Methods

Recent applications of artificial intelligence in computer network consider big data methods is studied in this research. The development of computer network technology has also been better developed and used globally because of its high performance and many development advantages. The biggest advantage of artificial intelligence technology is to be able to dig and analyze data better, to be able to analyze different users finely, so as to better assist in decision-making. Therefore, this paper discusses the novel suggestions for the AI based model.

Computer Network Design in Vocational School Using Network Simulator

The development of computer network technology is currently increasing rapidly along with the community's need for services that utilize computer networks. A computer network is a relationship between 2 or more computers connected by wired or wireless transmission media. This study aims to As for the purpose of this research is to analyze and design a computer network at SMK Negeri 1 Tabuk Utara. The research model uses the Network Development Life Cycle (NDLC) with six stages, namely analysis, design, simulation prototype, implementation, monitoring and management. However, only the first to third stages were carried out. After being developed through several stages, the results of this study show that by analyzing and designing network designs using Cisco packet tracer, SMK Negeri 1 Tabuk Utara already has 2 design models to be used directly in this design accompanied by material estimation and work on the computer network.

NEW STUDENT ADMISSION INFORMATION SYSTEM AT AMIK WAHANA MANDIRI

In an increasingly advanced era like today computers have become an inseparable part of human life. The role of computers has been felt in almost all areas of life, especially along with the rapid development of computer network technology, all the information we need can be obtained in just a short time. One of them is through the internet network, there are various information in it. The Internet is a global computer network that is interconnected through telecommunications lines. AMIK Wahana Mandiri, as a formal higher education institution that concentrates on informatics and computer management has the task of improving the competence,activities, and professionalism of students to be able to compete globally after completing their education at AMIK Wahana Mandiri. In this study , we will discuss the web-based information system fornew AMIK Wahana Mandiri students. This system is an application system to manage new student data and as a medium to see various information about new student admissions at AMIK Wahana Mandiri which can be accessed anytime and anywhere (online). The system is designed using the UML (Unified Modelling Language) modeling language and implemented using PHP, Apache Web Server and MySQL Server. The research methods used are literature, observation, interviews, analysis, design, trial and implementation. The conclusion of this study is that it is hoped that a web-based new student admission information system can be built.

Feasibility Deconstruction on the Establishment of Martial Arts Short Soldier Course Assisted by Multimedia Computer Network

Martial arts short-armed sport is an important item of martial arts. At present, the martial arts short soldier movement in the society cannot be carried out due to various reasons. As a sports academy, it is our responsibility to shoulder this important task. With the popularization of the Internet and the rapid development of multimedia and network technologies, human society has entered an information age. Traditional classroom teaching has been unable to meet the requirements of the times. Due to its characteristics of remote real-time interaction, network education has become a new generation of educational technology that combines network and multimedia technology. Network course is the most important learning content in network teaching, and its design, development, and implementation have received more and more attention. With the rapid development of computer network technology, the status of computer-aided teaching in teaching improvement has also been continuously improved. Computer-assisted instruction (CAI) is a hot topic in today’s classrooms. In physical education, computer-aided teaching makes up for the shortcomings of illustrations, text descriptions, teacher explanations, demonstrations, etc., in textbooks and overcomes the shortcomings of traditional teaching aids. It simplifies complex actions and concretizes non-decomposable actions. Computer-aided teaching can not only help students understand, master knowledge, and develop intelligence, but also help teachers master information and improve teaching quality. This study studies the recognition and application effect of CAI in the short-armed martial arts courses in physical education colleges. The data show that martial arts short-armed sports have outstanding advantages in combat, safety, fitness, and viewing. The experimental group scored around 90 points.

Design and Implementation of Software Engineering Network Teaching System Based on CS Mode

With the rapid development of computer network technology, all aspects of human life have begun to show a trend of networking and intelligence, and the education industry is no exception. This study wants to improve the quality of classroom teaching and student performance. Through demand analysis, this paper understands the teaching characteristics of software engineering and the shortcomings of the original teaching methods and develops a comprehensive network teaching system (TS). This article introduces the framework design of the system around screenshots, electronic whiteboards, and image compression schemes; starting from three aspects of teaching courseware, exercise library, and teaching practice, it illustrates the advantages of intelligent and personalized teaching. From the experimental data, it can be seen that the excellent performance rate (score>80) of students who study software engineering courses through the network TS after one semester is 75.56%, which is compared with the 46% excellent rate in the class using traditional methods. It can be seen that an intelligent and personalized network TS can play an excellent role in stimulating students’ enthusiasm for learning and improving students’ academic performance in practice.

(Retracted) Software development and design of network security system based on log data

With the rapid development of computer network technology and the fact that the network brings convenience to people’s lives and work, security issues cannot be ignored. Various countries and social organizations build a network security vulnerability database based on big data analysis technology, use network offensive and defensive platforms to train network security talents, and the target environment as a core component in the offensive and defensive platforms plays an important role in practice. We construct a large network security data set with a security knowledge system, analyze the current construction technology and vulnerability data characteristics of major vulnerability databases at home and abroad from multiple levels, and propose a vulnerability information correlation technology based on a combination of general vulnerability numbers and specific vulnerability numbers. Also, we comprehensively analyze each vulnerability database, assess the comprehensiveness and coverage of the vulnerability data information covered, and establish the source of the vulnerability data, data reference, security content automation protocol support, proof of concept, platform environment affected by the vulnerability exploitation code situation, and other fields of network security big data sets with security knowledge system. Here, we have completed the design and implementation of the user rights management module, the centralized monitoring module, and the service desk and configuration change management module. The system can accurately monitor the operation of the system in real time, find problems in time, warn of potential risks, and promote the operation and maintenance approach to intelligent. The transformation has improved the efficiency of fault diagnosis and greatly enhanced the safety of the system. Experimental research shows that the software system automatically screens and manually confirms the vulnerabilities that meet the target construction environment, and initially constructs a total of 43 effective target environments, which provides security researchers with the understanding of vulnerability principles, hazards, and targeted network security training. A stable and convenient experimental environment.

Quantitative trading portfolio optimization based on machine learning

The capital asset pricing model (CAPM) is to study the quantitative relationship between the expected return rate of assets and risky assets in the securities market. With the development of computer network technology and the trading market, quantitative trading has gradually become a new way of investment. Its essence lies in the decision of trading strategy. This paper obtains the relative price data of the subsequent short-term investment period through the time series method, then uses the PA algorithm in machine learning to update the portfolio and verify the effectiveness of the strategy in the data set. Based on the exchange rate change trend of the US dollar, gold, and bitcoin within five years given in the question, we constructed dynamic portfolio models for the three assets to ensure maximum profits. First, we use the time series model to predict the relative price data of the next period in a continuous trading period. Then, we implement the PA passive attack algorithm by calling the Sklearn package in Python to update the asset components in real-time every day and calculate the average annual return rate in 5 years. Based on the above analysis, we used the ADF unit root to test the stationarity of the time series. Meanwhile, we also carried out a white noise test of time series. The specific test indexes include: According to CAPM's theory, this product has a high yield, with an annual interest rate of 195.849%, which is entirely objective. However, the annual standard deviation reached 0.919164, and the maximum retractable rate exceeded 50%, indicating a sizeable overall risk. Despite this, the composite product's Calmar ratio is 3.556, Sharpe ratio is 2.104623, and its return per unit risk is still high. Compared with other quantitative trading models, this paper combines time series, machine learning, Monte Carlo, and other algorithms to effectively solve the portfolio investment optimization problem of nonlinear time-varying correlation structure among multiple assets. It enriches the results of portfolio investment structure decisions.

Research on Virtual Interactive Animation Design System Based on Deep Learning.

With the rapid development of computer network technology, the advantages of virtual reality technology in the field of instant messaging are becoming more and more significant. Virtual reality technology plays an important role in communication networks, including enhanced resource utilization, device redundancy, immersion, interactivity, conceptualization, and holography. In this paper, we use the basic theory of Restricted Boltzmann Machine to establish a semisupervised spatio-temporal feature model through the animation capture data style recognition problem. The bottom layer can be pretrained with a large amount of unlabeled data to enhance the model's feature perception capability of animation data, and then train the high-level supervised model with the labeled data to finally obtain the model parameters that can be used for the recognition task. The layer-by-layer training method makes the model have good parallelism, that is, when the layer-by-layer training method makes the model well parallelized, that is, when the bottom features cannot effectively represent the animation features, such as overfitting or underfitting, only the bottom model needs to be retrained, while the top model parameters can be kept unchanged. Simulation experiments show that the design assistance time of this paper's scheme for animation is reduced by 10 minutes compared to baseline.

Intrusion Detection System Based on Genetic Attribute Reduction Algorithm Based on Rough Set and Neural Network

The development of computer network technology not only brings convenience to people’s life but also has many information and data security problems and threats. The performance and problems of traditional intrusion detection system make it insufficient to resist intrusion attacks effectively and with high quality. Therefore, this paper proposes an intrusion detection system based on the combination of genetic attribute reduction algorithm based on rough set and neural network. Based on the traditional BP neural network, this paper combines the genetic attribute reduction algorithm based on rough set to optimize the structure and performance of the system. The experimental results show that the genetic attribute reduction algorithm based on rough set has faster convergence speed and can effectively shorten the running time of the system and improve the efficiency of the algorithm. At the same time, the intrusion detection system based on the combination of genetic attribute reduction algorithm based on rough set and neural network has significantly improved the detection rate of five intrusion attacks compared with the traditional algorithm and achieved the purpose of optimizing the real time and effectiveness of intrusion detection.

User Identity Recognition Based on Wireless Sensor Network and Internet Finance Development.

With the rapid development of computer network technology, the concept of “Internet +” has become more and more popular in recent years. The combination of the Internet and finance has particularly attracted people's attention, and the operating modes of many industries have also changed. Since the use of Internet technology can achieve data sharing and information exchange, the “Internet + Finance” model has broken the barriers of information asymmetry in the financial sector in the past and has made great contributions to China's multiple improvements. The financial market is very important to China's economic development. The identification of the ID function of the wireless sensor network is susceptible to interference and the identification accuracy is reduced. We propose an adaptive identification feature recognition algorithm based on an improved minimum gray tree. After calculating the similarity, the nearest neighbor matching algorithm is directly used to obtain the minimum matching cost corresponding to the wireless sensor network registration that is regarded as the recognized identity so as to realize the identity function adaptive recognition. In this regard, the simulation results show that the proposed algorithm has high recognition accuracy. With the pace of financial innovation, financial institutions have achieved rapid development on the basis of Internet service platforms. At the same time, as the core of preventing money laundering activities, financial institutions are also facing many issues in identifying “customers” in their work. This article analyzes the main content, implementation effects, and difficulty of customer identification in financial institutions and proposes relevant improvement plans.

Construction of a Hybrid Teaching Model System Based on Promoting Deep Learning.

The rapid development of computer network technology in today's society has also brought new opportunities for the transformation of the teaching management mode of colleges and universities. Nowadays, most colleges and universities are gradually improving the construction of campus informatization projects, further integrating school teaching resources, centralizing the work related to the work process, and carrying out platform management to improve the daily work efficiency of various departments of the school, which is also prominent from the user experience. Humanized management out of school. This paper designs and develops a set of online teaching management system suitable for colleges and universities, realizes the informatization of college teaching management, and solves the traditional teaching methods, such as the inability of offline correspondence students to take classes in time and the limited teaching venues. Through comparison and analysis, in order to ensure that the system has better portability, this article will mainly adopt the MVC architecture model to develop and design the entire school hybrid teaching management system. The MVC architecture model is mainly developed based on the abstract design model. Strong reusability, combined with the system architecture, the main choice for database selection is development based on Oracle database technology. In the specific development process, the detailed business requirements and functional requirements of the entire school online teaching management system will be analyzed in detail. Based on this, by adopting an object-oriented approach, the system management included in the school's hybrid teaching management system will be further analyzed. Detailed analysis and design of the specific functional structure, work flow, work sequence diagram and class diagram of the online learning management and article management functional modules, and finally complete the implementation and testing of the various functional modules of the system.

The Coordinated Development of Internet New Media and Computer Network Technology

Under the background of the development of computer network technology, the new Internet media has developed rapidly in the information age, and penetrated into people's daily life. The new Internet media provides the public with rich and diverse information channels and contents, and also adds entertainment ways on the basis of production and life, involving in all aspects such as clothing, food, housing and transportation. The development of Internet new media is closely related to the improvement of computer network technology. The two complement each other and jointly create a high-quality life experience for people. This paper starts with the development status of computer network technology and Internet new media, analyzes the relationship and influence between computer network technology and Internet new media, and discusses the development approach of Internet new media.

Three dimensional image encryption algorithm based on quantum random walk and multidimensional chaos

With the development of computer network technology, people’s requirements for information security is increasing day by day. However, the classical encryption technology has the defects of small key space and easy crack. The problems of image encryption technology in protecting image information security and private content need solving urgently. As a new type of quantum key generator, quantum random walk has a large key space. Compared with the classical random walk, the computing speed and security are significantly improved. This paper presents a three-dimensional image encryption algorithm that is based on quantum random walk and involves Lorenz and Rossler multidimensional chaos. Firstly, Gaussian pyramid is used to segment the image. Secondly, the Hamming distances of several sub images are calculated by using the random sequence generated by quantum random walk and the random sequence generated by Lorenz chaotic system in multi-dimensional chaos, and then synthesized, and the Euclidean distances between the three RGB channels of the image are calculated. Finally, the sequence value obtained from the remainder of Hamming distance and Euclidean distance, as an initial value is input into the Rossler system in multi-dimensional chaos to generate a random sequence which is used as the key to XOR the RGB channel of the image so as to create an encrypted image. The corresponding decryption scheme is the inverse process of the encryption process. In addition, in terms of transmission security, this paper uses a blind watermark embedding algorithm based on DCT and SVD to embed the watermark information into the encrypted image, so that the receiver can extract the watermark and judge whether the image is damaged by the attack in the transmission process according to the integrity of the watermark information. If it is not attacked maliciously, the image will be decrypted. This operation further improves the protection of image information security.The experimental results show that the peak signal-to-noise ratio of the encrypted image is stable between 7 and 9 and the encryption effect is good, the GVD score is close to 1, the correlation of the encrypted image is uniformly distributed, and the correlation coefficient is close to 0, and the key space is 2<sup>128</sup> in size and the encrypted histogram is evenly distributed, showing a high ability to resist statistical analysis attacks.