In order to improve the transmission stability of sensor networks, a sensitive data mining method based on Pan Boolean algebra is proposed. According to the output correctness, reliability and operation efficiency of wireless sensor network, this paper analyzes the characteristics of sensitive data, extracts and clusters the associated features of sensitive data, establishes the information clustering

In this paper, we propose a novel spectrum-efficiency (SE) optimization scheme for amplify-and-forward (AF) cooperative relaying systems based on non-orthogonal multiple-access (NOMA). In this network, a weighted-sum-minimum mean-squared-error (WSMMSE) method is utilized to transform the original non-convex optimization problem into a tractable optimization problem. Then, the relay beamforming-matrix

While data is being transmitted from device-to-device in any IoT network over un-trusted channel, there will appear the security challenges such as data integrity, authentication and non-repudiation for a secure system. Proxy multi-signature signature is a cryptographic primitives, where the signer signs on a given message on behalf of multiple signer involved in a protocol. In this paper, we propose

A compact 4 element MIMO antenna operating in three Sub-6 GHz 5G bands is proposed. The single element antenna consists of a square-shaped patch where circular and rectangular-shaped slot cuts are incorporated. The single element is symmetrically arranged along the horizontal direction and in mirrored fashion along the vertical and diagonal direction. The 4 element MIMO antenna achieves a symmetric

With the emergence of 5G communication networks, the communication industry has ushered in a new development direction. Based on this, 5G communication networks need to be continuously adjusted to meet the requirements of 5G communication network transmission in the era of big data. This article analyzes the application of big data in the 5G communication network. The purpose is to avoid the occurrence

In Wireless Sensor Networks (WSNs), where power consumption is a huge concern, the improvement of the network’s lifetime is an area of constant study and innovation. The battery units of the sensor nodes cannot be recharged or replaced. Therefore, the need for energy efficiency in WSNs is ever-present. This paper proposes a Firework inspired Clustering Algorithm (FCA) to generate well defined and load-balanced

A cyber physical system (CPS) integrates and combines physical, computational and communication functionalities to map physical processes to the cyber world. Indeed, a CPS can dynamically monitor, control and modify functional parameters of a physical system by implementing remote real-time sensing and actuation using machine-to-machine communication. Particularly, in a smart city CPS, a number of

How to achieve high-quality conversion between English paper documents and electronic documents has become an urgent problem to be solved. If there are serious deviations, noise and other factors at this stage, it will definitely affect the later work efficiency. In view of this, based on the vector set model EMD algorithm, this article builds an artificial intelligence English recognition model under

This paper considers the performance of non-orthogonal multiple-access (NOMA) with full-duplex (FD) relaying system in the presence of two practical undesirable defects, namely channel estimation error (CEE) and in-phase/quadrature-phase imbalance (IQI). Specifically, in the proposed NOMA with FD relaying system, the exact expressions of outage probability (OP) for the considered two users have been

In this paper, an extended continuous class-F power amplifier (PA) is investigated, designed, and fabricated. The new auxiliary parameter \(\left(\beta +\alpha {\mathrm{cos}}^{2}\theta \right)\), is proposed to increase the efficiency in comparison with the old auxiliary parameter \(\left(1+\delta \mathrm{cos}\theta \right)\). A novel methodology based on the smith chart design space and the proposed

With the increasing level of science and technology, the corresponding requirements for the current level of sports competition are also increasing. With the rapid development of international sports today, many social problems existing in sports have begun to be exposed. The rapid development of our country in this field has resulted in major achievements and many problems, such as excessive participation

In this work, we consider a single population-hibernation model with genic mutation, birth pulse and impulsive input toxin in a polluted environment. By the theories of discrete dynamical system and the methods of mathematical analysis, the population-extinction periodic solution \((0,0,c_{o}(t),c_{e}(t))\) of system (2.1) is proved to be globally asymptotically stable. System (2.1) is proved to be

Properly estimating the performance of a wireless link remains a fundamental challenge that has yet to be fully solved. In large part, this is due to the very complex nature of wireless links, which are affected by a large number of phenomena. Despite this difficulty, this task arises in several aspects of wireless networks, such as routing, handoff decisions, and dynamic rate adaptation. Because the

The incredible increase in the volume of remote sensing data has made the concept of Remote Sensing as Big Data reality with recent technological developments. Remote sensing image processing is characterized with features of massive data processing and intensive computation, which makes the processes difficult. To optimize the remote sensing image processing for GPU, compute unified device architecture

In recent decades, Sensor nodes (SNs) are used in numerous uses of heterogeneous wireless sensor networks (HWSNs) to obtain a variety of sensing data sources. Sink mobility shows a significant part in the enhancement of sensor system execution, energy utilization, and lifetime. To manage sink mobility, rendezvous points (RPs) are introduced where some SNs are chosen as RPs, and the non-RP nodes convey

This paper proposes a novel cooperative spectrum sensing network (CSSN) with improved energy detector (IED) based cognitive radio (CR) users. Every CR user is furnished with multiple antennas (M) and performs itself selection combining (SC) operation. All the CRs sense a primary user (PU) via erroneous sensing channels (S) and send the data to a fusion center (FC) via erroneous reporting channels (R)

When human society enters the 5G era, the development of media integration has become one of the future development trends. With 5G technologies as the support, the development situation of media integration is getting better and better. Through the theoretical level, research on the development and innovation of media integration in the 5G era, and propose corresponding strategies. In the context

The current teaching mode mostly uses multimedia for teaching, but in the process of teaching, we have encountered some problems about information preservation and data query. Nowadays, the development of education is becoming more and more rapid, which means that traditional education methods can no longer adapt to the new development situation. For this reason, we analyzed the preparation and teaching

Volleyball teaching is one of the traditional contents of physical education in our country. It plays an extremely important role in improving students' volleyball skills, promoting their physical and mental health, and improving their character training. However, due to the influence of volleyball's own characteristics and the restriction of test-oriented education concepts, the development of volleyball

With the rapid development of science and technology, embedded mission systems have also penetrated into various industries such as scientific research and military technology. The more and more complex tasks and higher frequency of use also make the embedded task system need to deal with a larger number of related tasks. For the general multiple linear regression analysis based on simple random sampling

The goal of industrial product design is to market products that meet consumer needs, which specifies that the creative behavior of product design should be restricted by the market environment. The further integration of technology, design, and market is developing rapidly, and we need to shift the focus from art and design thinking to a favorable position that encompasses the entire society. The

Image matching is a basic problem in image processing and pattern recognition. It is used to calculate the visual similarity between images taken in the same scene with different sensors, different perspectives or at different times. In addition to image adjustment, it is an indispensable step in image analysis and digital photogrammetry. It is also important for applications such as automatic navigation

A corpus refers to a text database that scientifically organizes and stores electronic texts, and is an important material for linguistic research. At the same time, through the analysis of a large amount of corpus, empirical rules can also be obtained from it. The main research purpose of this article is to build a translation corpus by transforming Chinese poetry and English poetry into each other

With the continuous development of science and technology, people have begun to interact with computer equipment, and human–computer interaction has become more and more simple. The human–computer interaction page is very user-friendly, people can communicate with the machine naturally, and can send signals through touch or gestures. In the process of person-to-person communication, gestures are a

With the continuous development of science and technology, artificial intelligence technology, deep learning technology, and signal transmission technology have all been rapidly developed. The products of artificial intelligence can be used in all kinds of people’s lives and studies, making people’s lives and learning is more convenient. Some universities should also change their own teaching management

In response to the problems that the new crown pneumonia epidemic may bring to doctors in schools of Chinese medicine, such as information overload, traumatic stress, changes in mentality, crisis of trust, safety when going abroad, and employment choices, explain from the perspective of medical teachers in Chinese medicine schools. The understanding of the epidemic and the major events during the epidemic

Electrical capacitance tomography is an industrial process tomography technology, mainly used to measure and plot two-phase flow and multi-phase flow. The technology is based on the properties of various dielectric constants between the phases of the measured substance. This work focuses on the improvement of particle swarm optimization and intelligent algorithms, especially for the parameter control

Energy efficiency in wireless network has received significant attention in the field of academia and industry. In additions, error correction and detection have become important aspects and it have been receiving considerable attention in wireless network application. In this paper, we have proposed Search and Rescue (SAR) optimization algorithm based faulty tolerant coding technique. Actually, SAR

Aiming at the poor real-time performance of single-channel grouping power consumption data acquisition, an intelligent data acquisition method based on symmetric mathematics is proposed. SM4, AES, DES, and RC6 are selected as the objects to design the top-level architecture of the symmetric key algorithm to ensure the integrity and confidentiality of the power consumption data of single channel grouping

In wireless sensor network communication system, the interference caused by random spread spectrum leads to poor communication quality and high bit error rate of communication network array signals. The invention provides a wireless sensor network communication network array signal synchronization transmission algorithm based on Gaussian fuzzy algorithm. Wireless sensor network communication channel

The traditional Hadoop-based anomaly data recognition algorithm for big data networks does not suppress the disturbance components of the data attributes of anomalous nodes. A new algorithm for locating and identifying fuzzy anomaly data in big data network is proposed. In the big data network environment, adaptive cascade notch filter is used to eliminate data interference, and second-order lattice

The traditional laboratory LAN technology has the problem that the transmission efficiency is lower than the error rate. In this paper, a data acquisition and transmission method based on fuzzy DEMATEL algorithm for laboratory LAN is proposed. By laboratory LAN Internet data acquisition model, the laboratory LAN statistical characteristics of the original data, extract the laboratory LAN of higher

In this paper, a novel method is proposed to reduce the number of route misdirection to increase network throughput. This method increases the network throughput by accurately sending the packets from source node to destination node without any packet loss, which ensures Quality of Services (QoS) routing services. These metrics are used for making better routing decisions to avoid the packets being

Performance and communication security in the Internet of Things (IoT) area draw a major concern for both academic and industrial communities. Indeed, an emerging number of IoT protocols are getting involved in the protocol stack, implying that the need for new security measures is also increasing. The Media Access Control (MAC) protocol Time Slot Channel Hopping (TSCH) has recently gained significant

Multi-homed devices such as smartphones, tablets and laptops are enabled with multiple heterogeneous interfaces available for transmission. Those interfaces can be utilized for simultaneous transmission of a single TCP flow using Multipath TCP (MPTCP). MPTCP is a protocol that is designed to increase end-to-end throughput and reliability of communications by splitting data through multiple parallel

We study the problem of inter cell interference coordination (ICIC) with fixed transmit power in OFDMA-based cellular networks, in which each base station (BS) needs to decide as to which subchannel, if any, to allocate to each of its associated mobile stations (MS) for data transmission. In general, there exists a trade-off between the total throughput (sum of throughputs of all the MSs) and fairness

Wireless technologies are very often used simultaneously for different applications in the same deployment area. This is more and more the case with the massive use of the Internet of Things. Very few of these technologies are designed to coexist efficiently. We concentrate in this paper on two technologies: IEEE 802.15.4 and IEEE 802.11. We consider the case where these two technologies are available

By removing the orthogonal use of radio-resources, non-orthogonal multiple access (NOMA) has been introduced to improve the spectral efficiency of fifth generation (5G) and beyond networks. This paper studies the system performance in a dual-hop multi-relay NOMA using decode-and-forward (DF) scheme over Nakagami-m fading channels. A group of NOMA users is considered, i.e. the near and far users which

The Nakagami-q (or Hoyt) fading model is known as an enriched fading model as it can characterize more severity of fading than Rayleigh fading model. In this paper, the performance of cooperative spectrum sensing is evaluated under Hoyt fading channel, along with the effects of co-existence of shadowing considered. The hard-decision fusion rule i.e., m-out-of-N rule is used with the local sensing aided

With the rapid development of cloud computing and mobile internet, massive network traffic is generated, with the raging malicious traffic and attacks. Network Intrusion Detection System plays an essential part in defending the malicious attacks. However, based on mathematical-statistical and packet verification methods, traditional network intrusion detection approaches are inadequate in detection

The Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) in the Intelligent Transportation System (ITS) of smart cities. Many vehicles access the network randomly and handover frequently between access Base Stations (BS), so the flexibility and scalability of the network architecture are required for the IoV network. SDN is a centralized network architecture that has obtained

As a research hotspot in the field of machine learning, ensemble learning improved the prediction accuracy of the final model by constructing and combining multiple basic models. In recent years, many experts and scholars are committed to combining deep networks with ensemble learning to improve the accuracy of neural network models in various scenarios and tasks. But not all neural networks are suitable

WSN (Wireless Sensor Network) is an emerging and exigent technology being used in various applications such as health monitoring, GPS tracking, security, environmental monitoring etc. The energy resource of WSN is limited because of the reduced battery power. Also, it is difficult for the sensor nodes in WSN to recharge their batteries in hostile environments. Therefore, the idea of heterogeneous WSN

In this paper, we solve the nonlinear space fractional complex Ginzburg-Landau equations. The motivation of this work is to give a fast numerical method to solve the linear system, which is obtained from the nonlinear space fractional complex Ginzburg-Landau equations. The coefficient matrix of the linear system is the sum of a complex diagonal matrix and a real Toeplitz matrix. The significance of

This paper presents a novel discrete squirrel search optimization algorithm for the bi-objective traveling salesman problem (TSP). Firstly, the squirrel search algorithm, a single-objective optimization algorithm, needs to be improved to a multi-objective optimization algorithm. This paper designs a mapping fitness function according to the Pareto sorting level and grid density to evaluate all the

Inter-tier interference coordination has been a vital design problem to ensure the edge-user service quality in heterogeneous networks. In this regard, the almost blank subframe (ABS) approach, which relies on the time domain coordination between base station tiers, has been shown to be among the most effective inter-tier interference coordination techniques. In this paper, we first present analysis

Smart transportation is an essential component of the smart city. Traffic prediction is an important issue in smart transportation. The convolutional neural networks (GCN) are an effective approach for traffic prediction. However, the GCN meets some challenges, such as stability of prediction precision and computation cost, in traffic prediction. The hyperparameters significantly affect the performance

A fractional calculus fluid model can be used to better explain the bursty data service traffic, which is long-range dependence and has a fractal like the feature of network data flow. The heavy-tailed delay distributions, the hyperbolic decay of the packet delay auto-covariance function and fractional differential equations are shown to be formally related. Effective capacity is a useful model to

In underground wireless communication in the coal mines, it is necessary for antenna to have good penetration and multi-path resistance to coal dust and water mist. The circular polarization antenna has two orthogonal fields, horizontal and vertical, and the circular polarization antenna has better penetration in coal seam water mist than the linear polarization antenna under the same power. The circular

Preserving patients’ privacy is one of the most important challenges in IoT-based healthcare systems. Although patient privacy has been widely addressed in previous work, there is a lack of a comprehensive end-to-end approach that simultaneously preserves the location and data privacy of patients assuming that system entities are untrusted. Most of the past researches assume that parts of this end-to-end

An improved image segmentation model was established to achieve accurate detection of target contours under high noise, low resolution, and uneven illumination environments. The new model is based on the variational level set algorithm, which improves the C–V (Chan and Vese) model and GAC (Geodesic Active Contour) model, fuses the contour and area models to segment the image information, that is, the

With the continuous development of new energy power generation and smart grid, Power Electronic Transformer (PET) has a good prospect for development because of its remarkable advantages. Based on the topology of AC/DC/AC, the modulation strategy with dual-PWM (Pulse Width Modulation) is adopted to control the operation of power electronic transformers in this paper. The PET structure consists of three

In this work, we give an effective preconditioned numerical method to solve the discretized linear system, which is obtained from the space fractional complex Ginzburg–Landau equations. The coefficient matrix of the linear system is the sum of a symmetric tridiagonal matrix and a complex Toeplitz matrix. The preconditioned iteration method has computational superiority since we can use the fast Fourier

Heterogeneous networks assist in enhancing the data rates. In this context, heterogeneous networks comprising eNodeB, Femtocell and Wi-Fi Access Point (AP) operate conjointly to render higher data rates to the User Equipment (UE). Moreover, as Wi-Fi AP avails of mostly 2.4 GHz ISM band and does not use more of 5 GHz frequency band, Femtocell exploits this unused 5 GHz spectrum for its own data transmission

Aiming for the ResNet network structure used for feature extraction, there are still problems of overfitting, slow calculation speed and room for improvement of accuracy. A mixed depthwise separation residual network is proposed for image feature extraction. The residual and inverted residual blocks are used in the research, which makes the three kinds of residual units iteratively interact in the

Relay algorithms in power line and wireless dual-media cooperative communication exhibit distinct advantages and disadvantages under random channels, and the algorithm that achieves the best performance can be determined through an adaptive relay strategy. However, the theoretical performance analysis of multiple relay algorithms for mixed fading and impulse noise encounters practical difficulties

Wireless powered communication network (WPCN) is a promising technique to resolve the power constraint issue faced by wireless nodes at the same time it also provides green and a safer solution. This paper studies, mutual sharing between WPCN and simultaneous wireless information and power transfer model where optimal resource allocation occurs between licensed/bandwidth group and an unlicensed/power

In this paper, we firstly present a block robust structured multifrontal factorization method (in brief, BRSMF) using block diagonalonal structure of three temperature matrices, and then we propose a multi-core parallelization of BRSMF (in brief, MBRSMF) method based on the current mainstream parallel computer multi-core architecture. MBRSMF method parallelizes the nested dissection ordering, symbolic

This paper presents and assesses various machine learning methods that aim at predicting path loss in rural environment. For this purpose, models such as artificial neural network (ANN), support vector regression (SVR), random forest (RF), and bagging with k-nearest neighbor (B-kNN) learners, are exploited and evaluated. They are trained and tested with path loss data collected from an extensive measurement

Nowadays, Wireless Sensor Networks are one of the fundamental infrastructures for IoT technology. Although WSN has been researched for a decade, providing energy efficiency for resource-constrained sensor nodes is still a hot topic given the widespread usage of real-time WSN applications. For ensuring scalability, recent studies focus on multi-hop routing schemes. In this paper, a fully distributed