Computer Communication Networks Research Articles

Research on the application of search algorithm in computer communication network

Abstract This article mitigates the challenges of previously reported literature by reducing the operating cost and improving the performance of network. A genetic algorithm-based tabu search methodology is proposed to solve the link capacity and traffic allocation (CFA) problem in a computer communication network. An efficient modern super-heuristic search method is used to influence the fixed cost, delay cost, and variable cost of a link on the total operating cost in the computer communication network are discussed. The article analyses a large number of computer simulation results to verify the effectiveness of the tabu search algorithm for CFA problems and also improves the quality of solutions significantly compared with traditional Lagrange relaxation and subgradient optimization algorithms. The experimental results show that with the increase of the weighted coefficient of variable cost, the proportion of variable cost in the total cost increases from 10 to 35%. The growth is relatively slow, and the fixed cost is still the main component. In addition, due to the increase in the variable cost, the tabu search algorithm will also choose the link with large luxury to reduce the variable cost, which makes the fixed cost slightly increase, while the network delay cost and average delay slightly decrease. The proposed method, when compared with the genetic algorithm, has more advantages for large-scale or heavy-load networks.

Computer Hardware and Communication Network Technology in Internet of Things

Computer Hardware and Communication Network Technology in Internet of Things

Land Records Digitization and Service Delivery in the Ministry of Lands in Kenya

The Kenya Ministry of Lands has been plagued with rampant delays in accessing land records, registry services and numerous clerical errors that have affected service delivery. It is evident that service delivery problems within the department have been problem for most policymakers which resulted in the launch of the National Lands Management Information System geared towards improving service delivery. There have however been minimal research efforts to determine how the systems has affected the ministry hence this study sought to examine the effect of digitization of land records management system on service delivery. The records continuum theory and the technology acceptance model formed the basis of this study. A descriptive approach was employed, and the population targeted of staff at the Ministry of Lands main registry at Ardhi House. The study sampled 154 officials within the headquarters at the Ministry of Lands who are involved in the lands records management system. Primary data was sourced using structured questionnaires developed under the guidance of the study objectives. Google forms supplemented the physical data to enhance the response rate. A pretesting was caried out on 10% of the sample participants to determine the research instruments’ validity and reliability. Data analysis focused both descriptive and inferential analysis. Findings were presented using charts and tables. The findings of the correlation tests established there is a strong positive and significant relation between digitization of land records (r = .806**, sig = .000<.05) and the service delivery at the Ministry of Lands in Kenya. This implies that a unit change in these variables will result in a unit change in the service delivery. The implementation of land records management system provides a technique and method for land planning, management quantification and rationalization together with quick inquiry, analysis and innovation of land information, provides supplementary support for decision making and improves the traditional land management system through computer technologies and communications network. The study recommended that the Ministry should put up appropriate training programs to keep its employees updated with the current job requirements and training should be geared to all employees regardless of their gender and job category. The study recommended that during the implementation of the land records management system, security should be of the paramount consideration while developing software and processing data and the need of security policies has to be clearly told to all the employees working in the Ministry and they should be directed to adhere to these policies. The study also recommended that an Integrated Land Information Management System should be properly implemented. This will ensure that the Ministry delivers services to the expectations of the clients.

On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane

It is well known that strong connections exist between random walks (RWs) in the nonnegative quarter plane and the mathematical performance modeling, analysis and optimization of computer systems and communication networks. Examples include adaptive threshold-based load balancing in concert with affinity scheduling (e.g., [16, 10]), scheduling parallel jobs on parallel computer systems (e.g., [15]), and asymptotic scalabilty in wireless and linear loss networks (e.g., [9]).

The Application of Data Encryption Technology in Computer Network Communication Security

With the development of computer network and the popularization of information system, the security of databases, as platforms for centralized storage and sharing of information system data, has increasingly become a serious problem in the field of information security, so data encryption technology has come into people’s sight. However, the current data encryption technology still has certain shortcomings, such as the inconsistency of the code text of the encryption and decryption technology, and the low efficiency of decoding and encryption. The purpose of this paper is to study the application of data encryption technology in computer network communication to provide better suggestions and explore better methods for improving network communication security system. This article, through the analysis of the database threat model and database application system structure, puts forward a design scheme of database encryption system model. A complete database encryption system can be divided into five logic modules: a key storage module, key engine module, key information module, key management module, and data storage module, and provides an in-depth analysis of the various parts and implementation details related to these modules. Finally, the designed encryption system model is programmed to be implemented; with the help of online examination system, the function and performance of the encryption system were tested; and the transmission efficiency of data encryption is maintained at more than 95%, which proves the effectiveness of the system.

Early Warning Method of Postgraduate Education Quality in Colleges and Universities Based on Multisource Information Fusion

With the rapid development of postgraduate education in my country, the contradiction between its quantitative growth and quality improvement has become increasingly prominent. At the same time, due to the downward shift in the focus of postgraduate education management, the role of provincial governments in the reform and development of postgraduate education has become increasingly important. Therefore, strengthening the practice of quality supervision and evaluation of postgraduate education at the provincial level is not only a realistic result of the development of postgraduate education in my country but also an inevitable requirement for the further development of postgraduate education in my country in the future, which has an important theoretical and practical significance. With the rapid development and wide application of computer network technology, communication technology, and multisensor technology, multisource information fusion has been selected by many colleges and universities as a method to evaluate the quality of postgraduate study because of its closeness to the frontier of disciplines. Therefore, how to effectively improve the teaching quality of multisource information fusion courses is a practical problem that needs to be solved urgently, and the improvement of teaching quality is also a key factor affecting the comprehensive quality of students. This paper deeply analyzes the setting and requirements of the information fusion course, combines the characteristics of mathematical theory and tools in information fusion, uses multisource data to model student behavior, and proposes a serialized prediction framework based on a deep network. The network structure reasonably integrates multisource data and automatically extracts behavioral characteristics. Combined with the static characteristics of students, the paper uses the long-term and short-term memory network to model the overall online behavior of students and finally predicts the probability that students have academic risks. The model is tested on a real university course dataset, and the experimental results show that the performance of the proposed algorithm is better than the baseline comparison algorithm.

Application of Information Encryption Technology in Computer Network Communication Security

In order to improve the communication efficiency while ensuring the security of communication information, this paper proposes a design and research method of a computer information security communication method by introducing data encryption technology. A new communication method is proposed through the construction of computer information security communication transmission model, computer information communication user identity authentication, communication information data encryption and decryption processing based on data encryption technology, and computer secondary communication key update. The experimental results show that the new communication method and ZigBee-based communication method are applied to the same communication environment through comparative experiments. The addition of encryption time and decryption time of the experimental group can be basically controlled within 70 ms, while the addition of encryption time and decryption time of the control group exceeds 70 ms, which verifies that the new communication method has higher security and communication efficiency. The introduction of data encryption technology in the actual information communication process can provide guarantee conditions for information security.

Set Domination in Fuzzy Graphs Using Strong Arcs

Set domination in fuzzy graphs is very useful for solving traffic problems during communication in computer networks and travelling networks. In this article, the concept of set domination in fuzzy graphs using strong arcs is introduced. The strong set domination number of complete fuzzy graph and complete bipartite fuzzy graph is determined. It is obtained the properties of the new parameter and related it to some other known domination parameters of fuzzy graphs. An upper bound for the strong set domination number of fuzzy graphs is also obtained.

Effect of Information Technology on Banking Segment in the Indian Financial Growth

The current banking environment must be extremely competitive. IT refers to the acquisition, distribution, archiving, and dissemination of all kinds of information via computer technology and communication networks. The input is made using these technologies, Information is kept, distributed, and communicated. IT involves supplemental hardware, software and other such tools, services, etc. recent changes in the banking industry in The Internet is in India. Information technology (IT) is fundamental to the banking industry. Sector are fulfilling internal needs, processing data effectively, and expanding customer services, innovative help for the development of new products, and end-user training for nontechnical workers. The following are some new information technology trends in the banking industry: outsourcing, combining, differentiating IT as a Source of Income, Thriving in Down Market. Tests the Indian banking system in India must pass include Meet potential customers on customer retention, the bank's service and capacity, dealing with spreads, and maintaining the operating profit, taking into account the sector's current market share and the accomplishment from another set of players in the banking business reveals the same.

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

In order to meet the new requirements of fault diagnosis response and intelligent degree in the current computer network, a fault detection of computer communication network based on an improved neural network algorithm is proposed. First, from the perspective of deep learning, based on the KDD99 data set, the network fault diagnosis method based on the convolutional neural network model is studied, and the data conversion operation of grayscale matrixed raw data is proposed. And experiments are carried out, the convolutional neural network structure is designed according to the scale of data features, a series of optimization studies including discarding learning, gradient optimization algorithm, and data enhancement based on this is carried out, and the establishment of the entire fault diagnosis model is completed. The experimental results show that, in the diagnostic model designed in this paper, the Tanh activation function is used in the first fully connected layer to achieve the best convergence speed. During the training process, it can start to converge after about 24 iterations, and the accuracy rate of the model training process can reach 98.1%, verifying the correctness and superiority of the algorithm and model.

Application of Artificial Intelligence Technology in Computer Network Security Communication

In order to cope with the frequent challenges of network security issues, a method of applying artificial intelligence technology to computer network security communication is proposed. First, within the framework of computer network communication, an intelligent protocol reverse analysis method is proposed. By converting the protocol into an image and establishing a convolutional neural network model, artificial intelligence technology is used to map the data to the protocol result. Finally, use the model to test the test data to adjust the model parameters and optimize the model as much as possible. The experimental results show that compared with the test model, the results obtained after training with the deep convolutional neural network model in this paper have increased the accuracy by 2.4%, reduced the loss by 38.2%, and reduced the running time by 42 times. The correctness and superiority of the algorithm and model are verified.

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

Application of Data Encryption Technology in Computer Network Communication Security

Application of Data Encryption Technology in Computer Network Communication Security

Topology optimization of computer communication network based on improved genetic algorithm

Abstract The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the corresponding improved GA is proposed. In this method, the corresponding computer communication network cost model and computer communication network reliability model are established through a specific project, and the genetic intelligence algorithm is used to solve the cost model and computer communication network reliability model, respectively. It has been proved that GA can solve the complex problems of computer working environment better, which is 80% higher than the general algorithm, and can select the optimal scheme pertinently.

The Use of Modern Technology in Journalistic Production

Press release is a technical and journalistic process that has an aesthetic and functional character. It is an important step in publishing the newspaper, which is concerned with presenting the editorial material on the page in an attractive and eye-catching manner. The sharp competition between newspapers of different directions has led to the search for ways to confirm their survival and continuity and to highlight their personality. Printing and adapting it in line with the content and general policy of the newspaper.Among the most prominent developments that the press has witnessed in terms of digital computer technology and network communication technology (the Internet), is the emergence of electronic press websites, which prompted designers and directors to find new methods and techniques, to design and produce pages, taking advantage of what the Internet provides of patterns, journalistic technical templates and new technologies in the field of Press directing, as the Internet has contributed to the development of press production through the emergence of new directing methods, and a set of design programs and programming languages ??for websites.

Critical evedenciarcy analysis of 26/11 attacks with reference to cyber-terrorism

By thorough analysis of Mumbai terrorist attacks of 26/11, it was observed that the attacks were form of Cyber terrorism as it was done to convey particular destructive message to the government, sending of threatening emails, defacing of government websites, hacking and cracking of crucial government systems. 'Protected systems' were compromised and civil amenities were disrupted. Digital information systems computer networks which not only affected governing system but also the population of a target area was affected to create a panic or situation of threat. Computer and digital communication networks were main tools of extremists in this case. Also, Supreme Court judgement on Mumbai Attacks case, in para number 57 specifies about use of Google Earth, tampering with telecommunication networks and digital networking shows that the Attack was done by was done by Hi-Tech offenders. Although electronic eavesdropping often yields valuable data, even tantalizing clues can be missed if the technology is not closely monitored, the intelligence gleaned from it is not linked with other information, or analysis does not sift incriminating activity from the ocean of digital data as traced by Inteligence agencies of US, UK and India during investigation of attacks.

Optimization for the Human Resources Management Strategy of the IoT Industry Based on AHP.

Since the twenty-first century, new things are emerging in the market economy; the Internet is one of them. Internet of things (IoT) is a new thing, which combines computer, Internet, and mobile communication network after the third wave of information industry, the development of huge application prospect, has been listed as one of the five emerging strategic industries. With the rapid development of digital technology and market economy, to accelerate the competition in the market economy, intense competition in IoT industry also exists. Effect of human resource management to a certain extent determines the strength of the market competitiveness of an enterprise; the research about human resource management of the IoT industry is carried out in this paper, by analysis of the basic characteristics of the Internet industry and combining Internet enterprise competitiveness, and it is directly related to human resource of a number of factors and applies the AHP method to establish the Internet enterprise human resources management quality and the effect of the evaluation model. Finally, an IoT enterprise is taken as the study object, the human resources management quality assessment model studied in this paper is used to evaluate enterprise's human resources management, and its existing human resources management strategy and its optimization are studied, which provide certain theory support to enhance its market competitiveness.

An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things.

Supply chain finance and logistics activities are developing rapidly. In the economic activities of the tripartite cooperation between financial institutions, logistics enterprises, and loan enterprises, the goods will enter the logistics and supervision links of pledged goods immediately after they are postponed. It is proposed to integrate computer network communication technologies such as the Internet of Things with supply chain finance and logistics supervision to strengthen the information interaction between suppliers, which is widely used in supply chain activities to help realize the Internet finance. An intelligent supply chain supervision can implement monitoring and early warning of the time of the pledged goods in the warehouse, in transit, and during processing. Therefore, this paper proposes an intelligent supply chain supervision model by integrating supply chain finance, logistics, and pledge finance models into an operation management platform to better promote the smooth progress of supply chain finance and logistics supervision activities, which can effectively reduce various external risks, improve operational efficiency, and provide reference for supply chain finance and logistics activities.

Magnitude of E-Commerce in Rural Areas – A Review

E-commerce stands for electronic commerce and refers to a digital platform and a business model where you can buy or sell products online. E-commerce has revolutionized business, changing the shape of competition with internet especially in the computer communication network creating an e-commerce market place for consumers and business in rural areas. India is showing tremendous growth in the Ecommerce in rural sector with developments in the Internet and web based technologies, distinctions between traditional markets and the worldwide digital marketplace-along with commercial enterprise capital length, amongst othersare progressively being narrowed down. There is a growing awareness among the rural business community in India about the opportunities offered by ecommerce. There is a necessity for the booming growth of rural e-commerce. The rural agricultural market ensures untapped potential to become the market leader for many e-commerce business enthusiasts and budding entrepreneurs. Since independence, nothing is going on in terms of boosting the rural agricultural distribution of business merchandise at intervals India's geographical boundaries. Therefore, the imperative would like of the minute is to accelerate the enlargement of business enterprises and e-commerce businesses in rural areas. E-commerce can enhance economic growth, increase business opportunities, competitiveness, better and profitable access to rural market sectors. The research paper describes the magnitude and roles of E-Commerce in rural areas. The research paper is to study and analyze the progress made by Ecommerce in rural sectors of Tamil Nadu. The present paper mainly aims to discuss the importance of E-commerce in rural sector.

A smooth approximation approach for optimization with probabilistic constraints based on sigmoid function

Many practical problems, such as computer science, communications network, product design, system control, statistics and finance, etc.,can be formulated as a probabilistic constrained optimization problem (PCOP) which is challenging to solve since it is usually nonconvex and nonsmooth. Effective methods for the probabilistic constrained optimization problem mostly focus on approximation techniques, such as convex approximation, D.C. (difference of two convex functions) approximation, and so on. This paper aims at studying a smooth approximation approach. A smooth approximation to the probabilistic constraint function based on a sigmoid function is analyzed. Equivalence of PCOP and the corresponding approximation problem are shown under some appropriate assumptions. Sequential convex approximation (SCA) algorithm is implemented to solve the smooth approximation problem. Numerical results suggest that the smooth approximation approach proposed is effective for optimization problems with probabilistic constraints.