Signal Transmission In Network Research Articles

Experiment of Solar Semiconductor Condensing Wall Water Intake System Based on Big Data

With the rapid development of industry and agriculture, fresh water resources are increasingly scarce, desertification control project investment is more, but the benefit is small. In order to solve the practical problem of water scarcity in desert areas and the waste caused by water not being applied precisely to plants, Based on the rapid development of 5G network signal transmission technology and big data analysis technology, a set of solar semiconductor condensation wall water intake system is designed to inject new vitality into the process of desertification control by taking advantage of the environmental and climatic characteristics of desert areas. Through theoretical analysis, big data analysis and experimental study of the system, taking Liangzhou District of Wuwei City in Gansu Province as an example, the comprehensive analysis of the system was carried out. The results show that the theoretical water output per hour of the system is 138.3g, and the cumulative power generation of the system in 20 years is 28800kWh, which can reduce standard coal combustion by 8.64t, reduce CO2222.64t, and save 33609.6 yuan.

PSGU: Parametric self-circulation gating unit for deep neural networks

Activation functions are of great importance for the performance and training of deep neural networks. High-performance activation function is expected to effectively prevent the gradient from vanishing and help network converge. This paper provides a novel smooth activation function, called Parameterized Self-circulating Gating Unit (PSGU), aiming to train an adaptive activation function to improve the performance of deep networks. Compared with other works, we propose and study the self-circulation gating property of activation function, and analyze its influence on the signal transmission in network by controlling the flow of information. Specifically, we theoretically analyze and propose the initialization based on PSGU, which adequately explores the properties in neighborhood of the origin. Finally, the proposed activation function and initialization are compared with other methods on commonly-used network architectures, the achieved performances of using PSGU alone or combining with our proposed initialization are over par with the state of the art.

Research and Application of a New Encryption Transmission Technology of Internet of Things Based on PLC Power Line Carrier Communication

Information transmission is an important part of the Internet of things. At present, the different devices produced by IOT (Internet of things) manufacturers give rise to the various connection modes, such as infrared, Wi-Fi, network cable, Bluetooth, ZigBee, VB IOT, Lora and LTE, making the market in chaos. In view of the above situation, this paper proposed a new way of IOT communication by using PLC power line carrier for encrypted transmission. It covered the IOT network to all power supply terminals by using wires in the unit of the area. In this way, the IOT devices can be powered, solving the problem of the last kilometer of network signal transmission.

Network Intrusion Feature Map Node Equalization Algorithm Based on Modified Variable Step-Size Constant Modulus

When the network is subject to intrusion and attack, the node output channel equalization will be affected, resulting in bit error and distortion in the output of network transmission symbols. In order to improve the anti-attack ability and equalization of network node, a network intrusion feature map node equalization algorithm based on modified variable step-size constant modulus blind equalization algorithm (MISO-VSS-MCMA) is proposed. In this algorithm, the node transmission channel model after network intrusion is constructed, and sequential processing is performed to intruded nodes with the variable structure feedback link control method. With diversity spread spectrum technology, the channel loss after network intrusion is compensated and the network intrusion map feature is extracted. According to the extracted feature amount, channel equalization processing is performed for the cost function with the MISO-VSS-MCMA method to reduce the damage of network intrusion to the channel. Simulation results show that in node transmission channel equalization after network intrusion, this algorithm can reduce the error bit rate of signal transmission in network, and provide a good ability of correcting phase deflection in the output constellation, thus avoiding the error bit distortion and channel damage caused by network intrusion to the signal with a good equalization effect. This algorithm provides stronger convergence and map concentration, which demonstrates that its anti-interference and signal recovery capabilities are better, so it improves the anti-attack ability of the network.

Display Interfacing 2018: Getting Around the UHD Speed Bump

The growth of ultrahigh-definition (UHD) imaging and the addition of high dynamic range, wide color gamut, and high frame rates are pushing display interfacing to even higher clock and data rates. However, current interfacing standards are too slow to accommodate these rates. We are testing the limits of copper wire interfaces and are now compressing display signals for the first time. The newest version of high-definition multimedia interface (2.1) will not be widely available for a few years and may require optical fiber connections at higher speeds. In the meantime, DisplayPort (1.4) is ramping up its bus speeds to new highs and adopting support for consumer video formats. This paper will provide updates on the latest interface architectures and speed challenges and will also consider network signal transmission as an alternative connection method.

Discussion on the Measures for Enhancing the Signals of Wireless Communication Network Sites

Because of the large span of the distance between wireless communication networks, many kinds of interference are encountered in the network signal transmission process, so that the accuracy of receiving the information is affected by the weakened signals and also the communication service quality for the users is reduced. Under this background, the advantages such as remoteness and convenience of wireless communication are first introduced. In the meantime, the factors influencing the signals of the wireless communication network are affected. Finally, the measures for enhancing the signals of the wireless communication network sites are proposed. It is expected that this paper is helpful for the future studies.

Study on Attenuation Law of Wireless Sensor Network Signal Transmission in a Plantation Based on Bp Neural Network

Study on Attenuation Law of Wireless Sensor Network Signal Transmission in a Plantation Based on Bp Neural Network

Improved Particle Swarm Optimization Algorithm for Android Medical Care IOT using Modified Parameters

This study examines wireless sensor network with real-time remote identification using the Android study of things (HCIOT) platform in community healthcare. An improved particle swarm optimization (PSO) method is proposed to efficiently enhance physiological multi-sensors data fusion measurement precision in the Internet of Things (IOT) system. Improved PSO (IPSO) includes: inertia weight factor design, shrinkage factor adjustment to allow improved PSO algorithm data fusion performance. The Android platform is employed to build multi-physiological signal processing and timely medical care of things analysis. Wireless sensor network signal transmission and Internet links allow community or family members to have timely medical care network services.

Quantized Control Design for Impulsive Fuzzy Networked Systems

In this paper, a continuous-time Takagi-Sugeno (T-S) fuzzy system with impulsive effects that are controlled through network is investigated. Network signal-transmission delays and signal-quantization effects are simultaneously considered. The network is with two time-varying additive delays and limited capacity. First, a quantized output-feedback networked control system (NCS) model is established to describe the impulsive NCSs through a channel with limited capacity. Then, based on the Lyapunov-Krasovskii functional approach and a parallel-distributed compensation scheme, a delay-dependent stabilization approach is developed for the impulsive NCSs, which guarantees that the closed-loop system is asymptotically stable. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.

Improved Radio-Over-Fiber Transponder With Multistage Automatic Gain Control

In this paper, improved transponders with multistage automatic gain control (AGC) for radio-over-fiber-based distributed antenna systems are presented. Error vector magnitude performance measurements for both uplink and downlink paths are carried out to verify the feasibility of applying this system for IEEE 802.11g signal transmission. The developed conventional radio-over-fiber system shows its capability of supporting the wireless local area network signal transmission for an input dynamic range of approximately 14 dB. The improved radio-over-fiber systems with a single- and two-stage AGC are also demonstrated to have a better input dynamic range of 27 dB and more than 37 dB, respectively. The error vector magnitude for the case with a two-stage AGC is much better than that with a single-stage AGC.