Hybrid intelligence system using fuzzy inference in cluster architecture for secured group communication

Sayeekumar, M.; Karthik, G. M.; Puhazholi, S.

doi:10.1007/s00500-019-03817-7

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…After calculating the orientation of the tile and the six clipping planes, at that time, the tile ∀tile i = outside was considered invisible and was removed; otherwise, the tile completely contained or intersected with the frustum, keep this tile [24,25].…”

Section: : ð3þmentioning

confidence: 99%

[Retracted] 3D City Online Visualization and Cluster Architecture for Digital City

Ding

2021

Journal of Sensors

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As an important carrier of human production, life, and social development, the emergence of cities symbolizes the maturity and civilization of mankind. For more than 40 years of reform and opening up, our country’s economic development has become increasingly prosperous, and urbanization is booming. At present, our country is in a decisive period for building a well-off society in an all-round way, with rapid progress in socio-economic growth and urbanization. Based on this, this article is oriented towards urban visualization modeling work and proposes a cluster modeling method that is compatible with the combination of urban geological structure and three-dimensional urban space, so that urban space modeling work not only pays attention to the rationality of above-ground planning and construction but also fully considers underground geology the stability and safety of the structure. This paper uses the 3D city online visualization modeling technology to efficiently and reasonably complete the 3D urban geological modeling under the fusion of multiple geological data and combines the organic combination of multisource heterogeneous model data to convert the geological model data into a 3D geographic information model; the universal standard format analyzes the rapid construction of large-scale complex geological structure models and the integrated expression of multisource heterogeneous model data. Experiments have proved that from the cluster capacity of 5,000 to 100,000, no matter how much the modeling time is different, whether it is to search the entire territory or part of the scope, the search time of the 3D city visualization model is less than 20 ms, and the 3D city visualization model map of the city can be well established. This shows that the three-dimensional city visualization model highlights the impact of the urban geological environment on urban construction and development and visually and vividly displays region geological structure and other information in a three-dimensional way, providing corresponding information for urban geological stability assessment and geological disaster rescue reference and help.

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Section: : ð3þmentioning

confidence: 99%

[Retracted] 3D City Online Visualization and Cluster Architecture for Digital City

Ding

2021

Journal of Sensors

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“…After determining the main stressors, several fuzzy rules should be established based on the experts’ opinions to implement the FIS (Sayeekumar et al 2019 ). This way, M C rules are required to define for C criteria and M membership functions.…”

Section: Methodsmentioning

confidence: 99%

A hybrid decision-making framework to manage occupational stress in project-based organizations

et al. 2022

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According to recent studies in the field of human resource management (HRM), especially in project-based organizations (PBOs), stress is recognized as a factor that has a paramount significance on the performance of staff. Previous studies in organizational stress management have mainly focused on identifying job stressors and their effects on organizations. Contrary to the previous studies, this paper aims to propose a comprehensive decision-support system that includes identifying stressors, assessing organizational stress levels, and providing solutions to improve the performance of the organization. A questionnaire is designed and distributed among 170 senior managers of a major project-based organization in the field of the energy industry in Iran to determine organizational stressors. Based on the questionnaire results and considering the best worst method (BWM) as an approach to determine the weighting vector, the importance degree of each stressor is calculated. In the next stage, a decision-support model is developed to assess the stress level of a PBO through fuzzy inference systems (FIS). Some main advantages of the proposed hybrid decision-support model include (i) achieving high-reliable results by not-so-time-consuming computational volume and (ii) maintaining flexibility in adding new criteria to assess the occupational stress levels in PBOs. Based on the obtained results, six organizational stressors, including job incongruity, poor organizational structure, poor project environment, work overload, poor job promotion, and type A behavior, are identified. It is also found that the level of organizational stress is not ideal. Finally, some main recommendations are proposed to manage occupational stresses at the optimum level in the considered sector.

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Evolutionary optimization of artificial neural network using an interactive phase-based optimization algorithm for chaotic time series prediction

Cao

2020

Soft Comput

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Hybrid intelligence system using fuzzy inference in cluster architecture for secured group communication

Cited by 4 publications

References 14 publications

[Retracted] 3D City Online Visualization and Cluster Architecture for Digital City

[Retracted] 3D City Online Visualization and Cluster Architecture for Digital City

A hybrid decision-making framework to manage occupational stress in project-based organizations

Evolutionary optimization of artificial neural network using an interactive phase-based optimization algorithm for chaotic time series prediction

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