Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm

Tang, Wenlong; Cha, Hojung; Wei, Mingdong; Tian, Bin; Ren, Xichuang

doi:10.1515/geo-2019-0044

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…e expected evaluation effect cannot motivate the team of counselors to actively tap their own potential and create higher performance [10]. And because the counselor's own work has not received a comprehensive and accurate response, it will dampen their enthusiasm for work to a certain extent [11,12].…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved Particle Swarm Optimisation Method for Performance Evaluation of Instructors

Yuanhong

2022

Security and Communication Networks

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Performance evaluation of counselors plays a vital role for education industry (schools, colleges, universities, and vocational colleges). The problem can be stated with the phrases; how to design reasonable and appropriate performance indicators? The objective of this research is to design an effective performance evaluation. The purpose of this study is to explore a new method of performance evaluation that combines strategic goals with personal development goals. The purpose of performance evaluation is to better motivate the enthusiasm of counselors. With the methodology, a new issue faced at modern colleges and universities is being resolved. Therefore, for explaining methodology, this study has carried out the application analysis of the fusion particle swarm algorithm (FPSA) in the performance evaluation of instructors. First, on the basis of comprehensive analysis of performance evaluation, it discusses the advantages and disadvantages of university performance evaluation. Secondly, particle swarm and fuzzy comprehensive evaluation methods are used in the research of instructor performance evaluation. Pass the superiority of this assessment system. Index parameter evaluation is from 2.5 to 3.0. The range indicates an excellent value. In result this improved particle swarm can be compared with the state of the art (Liu et al., 2019). In conclusive remarks, this study is to provide state-of-the-art study for the current research on the topic of instructor performance appraisal in colleges and universities.

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Section: Literature Reviewmentioning

confidence: 99%

An Improved Particle Swarm Optimisation Method for Performance Evaluation of Instructors

Yuanhong

2022

Security and Communication Networks

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“…Among them, passive wireless SAW sensors have high sensitivity and good stability and have gained wide attention and research. SAW sensors are a relatively new branch of application of SAW devices [4], using SAW resonators as sensing units. When a passive SAW wireless sensor performs detection, a fork-finger transducer converts the electromagnetic signal received by the sensor antenna into a sound surface wave.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization

Bo-lan

2022

Discrete Dynamics in Nature and Society

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English reading is an important way to consolidate and expand English language knowledge, and it is also an important way to obtain information and understand British and American culture. Therefore, reading teaching has always been an important part of English education and teaching at all levels and types of schools, and college English teaching is no exception. College English teachers have been carrying out teaching reflections in their reading teaching practice and constantly exploring teaching modes and teaching directions that improve students’ reading engagement and reading comprehension ability. However, the current daily teaching of English reading still generally maintains the traditional teaching mode. The entire reading learning process is monotonous, boring, and stylized, and the ability to acquire and process information cannot be combined with language knowledge and language skills. This kind of teaching mode severely inhibited the college students’ involvement in English learning model. Based on the electromagnetic-polarization response expression in a uniformly polarized half-space, this paper transforms the problem of polarization parameter extraction into a minimum optimization problem and constructs a fitness function. A set of polarization parameters is selected to calculate the electromagnetic-polarization response under trapezoidal waves in a uniform half-space, and the basic particle swarm algorithm is used to extract single and multiple parameters, respectively. In this paper, by adding a window to the test data in the time domain, the multiplicative and additive interference in the test signal is suppressed, and the signal-to-noise ratio of the test result is improved. We use the platform built in this article to wirelessly test the temperature characteristics of the surface acoustic wave sensor. The research results identified eight cognitive attributes of English reading and successfully generated diagnostic information at the group and individual levels and finally formed graphics and textual diagnostic feedback. There is a certain correlation between students’ vocabulary mastery and English reading performance, which shows that the vocabulary teaching method can help students better understand the reading materials and improve their reading performance. Combining two student interviews and learning logs, it can be seen that students’ understanding and frequency of use of vocabulary knowledge have increased significantly after the action research. It is generally recognized that vocabulary has a positive effect on improving reading level and can be based on the recognition and understanding of vocabulary. The mastery of vocabulary can promote the improvement of college students’ English reading level to a certain extent. Learners should strengthen vocabulary learning and face up to the importance of vocabulary knowledge in English reading.

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“…To solve the problem, Tang et al proposed an estimation method of refractive index distribution based on the automatic recognition system and quantum behavior particle swarm optimization. The simulation analysis of this method showed that it could accurately retrieve the surface air duct and accurately estimate the atmospheric refractive index [10].…”

Section: Related Workmentioning

confidence: 99%

“…Num max represents the maximum number of crossings. Individual P i can be expressed in the form of real number matrix, as shown in formula (10) [26], [27], [28].…”

Section: Optimization Based On Improved Psomentioning

confidence: 99%

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Optimization Effect Analysis of ACM-PSO Integrating Individual Adjustment and Cross Operation on Microgrid DG Technology

Tang,

Shang,

Chen

et al. 2023

IEEE Access

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Microgrid, as a distributed power technology, has deep potential at present. This study deeply researches microgrid and electric vehicles. A grid-connectedmicrogrid power optimization management model is established, and an adaptive crossover multi particle swarm optimization (ACM-PSO) is proposed, which can adjust and operate individually. The proposed algorithm introduces individual adjustment operation and considers the start and stop state of the micro power supply. Besides, it does not need to decompose the unit commitment problem into two levels of optimization problems, which reduces the complexity of the optimization problem. A-PSO algorithm is prone to fall into local optimum. This problem can be avoided and its global search ability can be improved by introducing the crossover operation of ACM-PSO. According to the analysis of examples, the ACM-PSO algorithm has the best economic effect in different operation schemes among experimental methods.

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Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm

Cited by 7 publications

References 16 publications

An Improved Particle Swarm Optimisation Method for Performance Evaluation of Instructors

An Improved Particle Swarm Optimisation Method for Performance Evaluation of Instructors

[Retracted] Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization

Optimization Effect Analysis of ACM-PSO Integrating Individual Adjustment and Cross Operation on Microgrid DG Technology

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