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4 results on '"Xianhai Guo"'

1. Maximizing network throughput by cooperative reinforcement learning in clustered solar-powered wireless sensor networks

Author

Yujia Ge, Yurong Nan, and Xianhai Guo

Subjects
Electronic computers. Computer science, QA75.5-76.95
Abstract

Power management in wireless sensor networks is very important due to the limited energy of batteries. Sensor nodes with harvesters can extract energy from environmental sources as supplemental energy to break this limitation. In a clustered solar-powered sensor network where nodes in the network are grouped into clusters, data collected by cluster members are sent to their cluster head and finally transmitted to the base station. The goal of the whole network is to maintain an energy neutrality state and to maximize the effective data throughput of the network. This article proposes an adaptive power manager based on cooperative reinforcement learning methods for the solar-powered wireless sensor networks to keep harvested energy more balanced among the whole clustered network. The cooperative strategy of Q -learning and SARSA( λ ) is applied in this multi-agent environment based on the node residual energy, the predicted harvested energy for the next time slot, and cluster head energy information. The node takes action accordingly to adjust its operating duty cycle. Experiments show that cooperative reinforcement learning methods can achieve the overall goal of maximizing network throughput and cooperative approaches outperform tuned static and non-cooperative approaches in clustered wireless sensor network applications. Experiments also show that the approach is effective in response to changes in the environment, changes in its parameters, and application-level quality of service requirements.

Published
2021
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3. RETRACTED: Application of agricultural IoT technology based on 5 G network and FPGA

Author

Xianhai Guo

Subjects
Agricultural machinery, Computer Networks and Communications, business.industry, Computer science, Crop yield, 020208 electrical & electronic engineering, Frame (networking), 02 engineering and technology, Rationalization (economics), 020202 computer hardware & architecture, Crop, Engineering management, Artificial Intelligence, Hardware and Architecture, Agriculture, Agricultural cycle, Regional planning, 0202 electrical engineering, electronic engineering, information engineering, Personal knowledge base, business, Software, Agribusiness
Abstract

Personal knowledge of the agricultural cycle the current agribusiness than any other age is more concerned about the information, accuracy and prospects. Based on Internet of Things (IoT), rapid development innovative things has reviewed virtually every industry, including smart agribusiness; the company has transformed its business from quantitative methods. This gradual change has shaken the current comprehensive agricultural technology and open new doors in the problematic border. This article describes the remote sensor and the IoT horticulture functions. The meet up with this innovative farming regular rehearsal, face the challenge to expect. Let's take a closer look at IoT gadgets, gadgets and how to deal with applications related to agriculture experienced remote sensors. Record the sensor in precise agricultural applications can access, such as soil preparations, crop conditions, water systems, insects and irritation testing from planting to harvesting stage throughout the harvesting, crushing and transport, innovative ways to help growers become more and more apparent. This method also considers crop scouting and other significant applications, such as using an automated aircraft to increase crop yields. In justified cases, it will introduce different things and the best model based on the agriculture stage. Finally, according to the in-depth study, goal will recognize agribusiness in the flow of things and a future model and respond to potential research challenges. This article also describes another gain awareness and ideal for the application, such as increasing the use of 5 G network support production. Finally, after careful research to understand the fate of the power of agribusiness and remote sensor model, and potential research model to respond to the challenge. Frame configuration and have a valid attempt Field Programmable Gate Array (FPGA) by site kit. Goal need to consider the speed and the rationalization of the regional planning framework.

Published
2021

4. Research on emotion recognition based on physiological signal and AuBT

Author

Xianhai Guo

Subjects
business.industry, media_common.quotation_subject, Speech recognition, Cognition, Anger, Toolbox, Sadness, Perception, Pattern recognition (psychology), Happiness, Biosignal, Artificial intelligence, business, media_common
Abstract

Emotions play a significant role in human perception and decision making. Recent studies on emotion recognition are the subject of attention by researchers from different fields. By focusing in the four emotional states: happiness, anger, sadness and a neutral state which can be always found in daily life, this dissertation studies the Physiological signal based on emotion recognition technique. This paper uses a biological signal toolbox Augsburg (AuBT) analysis of physiological signals for emotion recognition. Augsburg Biosignal Toolbox (AuBT) is a toolbox for analyzing physiological signals written in Matlab. The result of experiment show that application of Augsburg biological signal toolbox gets the overall recognition rate of 87.5%, indicating that the Augsburg Biosignal Toolbox emotion recognition is feasible.

Published
2011

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