Object traversing by monocular UAV in outdoor environment

Hu, Jinwen; Zhang, Houxin; Li, Zhuoyi; Zhao, Chunhui; Zhao, Xu; Pan, Quan

doi:10.1002/asjc.2415

Cited by 64 publications

(23 citation statements)

References 26 publications

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“…Even though the RP load flow affects the line losses and the bus voltage and the active power load flow and its costs, unfortunately, the costs of producing and transmitting RP have received little attention [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. One reason for this lack of attention is the inherent difficulty in understanding this issue, particularly by economists [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. Another reason for the lack of serious attention to RP is the low production price compared to active power [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

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The power system planning problem considering system loss function, voltage profile function, the cost function of FACTS (flexible alternating current transmission system) devices, and stability function are investigated in this paper. With the growth of electronic technologies, FACTS devices have improved stability and more reliable planning in reactive power (RP) planning. In addition, in modern power systems, renewable resources have an inevitable effect on power system planning. Therefore, wind resources make a complicated problem of planning due to conflicting functions and non-linear constraints. This confliction is the stochastic nature of the cost, loss, and voltage functions that cannot be summarized in function. A multi-objective hybrid algorithm is proposed to solve this problem by considering the linear and non-linear constraints that combine particle swarm optimization (PSO) and the virus colony search (VCS). VCS is a new optimization method based on viruses’ search function to destroy host cells and cause the penetration of the best virus into a cell for reproduction. In the proposed model, the PSO is used to enhance local and global search. In addition, the non-dominated sort of the Pareto criterion is used to sort the data. The optimization results on different scenarios reveal that the combined method of the proposed hybrid algorithm can improve the parameters such as convergence time, index of voltage stability, and absolute magnitude of voltage deviation, and this method can reduce the total transmission line losses. In addition, the presence of wind resources has a positive effect on the mentioned issue.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…We further explored the strength of the relationship of the five correlated groups of variables through linear regression analysis [49,50]. The calculation formula of linear regression analysis is shown in Formula (4) [51,52].…”

Section: Regression Analysismentioning

confidence: 99%

The Statistical Analysis of Multidimensional Psychological Characteristics and User Feedback Willingness

Wang

Zhou

et al. 2021

Advances in Mathematical Physics

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The purpose of this paper is to study the influence of multidimensional psychological characteristics on users’ feedback intention by using several statistical analysis methods based on information theory. The feedback process can be described as a communication process based on information theory. The feedback information entropy is associated with the degree of uncertainty elimination of the users who provide feedback information. Many factors are related to this uncertainty, such as information senders often stopped feedback process for some reasons and information senders may have provided fake or spam information. In order to encourage more useful feedback information, a model of a user’s willingness to provide feedback was established with personality traits and cognitive styles as independent variables, feedback motivation as intermediary variables, and feedback willingness as the dependent variable. 206 online and offline questionnaires were obtained to be analyzed by correlation analysis, regression analysis, and structural equation analysis. Cronbach’s α coefficient was used to test the reliability of the questionnaire, and exploratory factor analysis method was used to verify the validity of the questionnaire. First, correlation analysis was used to explore the correlation between personality traits, cognitive styles, and motivation factors. Second, we further explored the strength of the relationship of the five correlated groups of variables through linear regression analysis. At last, we conducted structure equation analyses to test the hypotheses. The results show that both personality traits and cognitive styles can have a significant impact on feedback motivation factors and also show that self-efficacy may be the only evident feedback motivation to encourage useful feedback information. The results show that the willing users with extraversion trait are more likely be motivated by self-efficacy and thus have evident feedback willingness.

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“…The measurement items of EBMD are “①high transaction speed [ 30 ]; ②low inventory costs of suppliers and partners [ 31 ]; ③simplifying transaction process [ 32 ]; ④reducing error rate [ 33 ]; ⑤reducing partner cost [ 34 ]; ⑥easy access for consumers to gain enterprise information [ 35 ]; ⑦providing product and service information to participants [ 36 ]; ⑧making transactions faster and more efficient [ 37 ]." The measurement items of NBMD are ①providing the combination of new products, services and information [ 38 ]; ②attracting new consumers [ 39 ]; ③providing innovative consuming rewards [ 40 ]; ④attracting consumers in innovative ways [ 41 ]; ⑤communicating participants in a creative way [ 42 ]; ⑥leading role in NBMD [ 43 ]; ⑦continuously introducing innovation [ 44 ]; ⑧the innovative business model [ 45 ].” Business performance items include ①customer loyalty [ 46 ]; ②sales growth rate [ 47 ]; ③profit margin [ 48 , 49 ]; ④rate of return on investment [ 50 , 51 ].” The answer of questionnaire is designed to utilize five-point Likert Scale [ 52 , 53 ].…”

Section: Methodsmentioning

confidence: 99%

Research on enterprise business model and technology innovation based on artificial intelligence

Zhao

et al. 2021

J Wireless Com Network

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Small- and medium-sized enterprises (SEMs) are the important part of economic society whose innovation activities are of great significance for building innovative country. In order to investigate how technological innovation (TI) and business model design (BMD) affect the business performance of SMEs, samples of 268 SMEs in the artificial intelligence industry and hierarchical regression models are used in the analysis. The results indicate that TI, BMD, and the matching of them have different effects on the innovation of SMEs of different sizes. These findings are helpful for enriching the theory of the fit between TI and BMD and providing theoretical guidance for the innovation activities in SEMs.

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Object traversing by monocular UAV in outdoor environment

Cited by 64 publications

References 26 publications

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

The Statistical Analysis of Multidimensional Psychological Characteristics and User Feedback Willingness

Research on enterprise business model and technology innovation based on artificial intelligence

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