scholarly journals An Empirical Analysis of Green Technology Innovation and Ecological Efficiency Based on a Greenhouse Evolutionary Ventilation Algorithm Fuzzy-Model

2020 ◽  
Vol 12 (9) ◽  
pp. 3886 ◽  
Author(s):  
Xiumei Xu ◽  
Yu Sun ◽  
Sujatha Krishnamoorthy ◽  
Karthik Chandran
Keyword(s):  
Natural Ventilation ◽  
Fitness Function ◽  
Fuzzy Model ◽  
Ecological Factors ◽  
Green Technology ◽  
Single Type ◽  
Rotational Angle ◽  
Greenhouse Effects ◽  
And Control ◽  
Linear Nature

The combination and convergence of energy-intensive industries developed by ecological factors based on energy clusters is discussed in this paper. Here, a few models for the prediction of greenhouse effects are used as a single type of modeling. In this model, the solar panel system is included as a measure of the greenhouse effect; Commitment Unit (CU) formulations are changed with flouted logic because solar integrations and other unknown variables are intermittent. In general, the greenhouse model with natural ventilation temperature prediction is incomplete, in which the resulting fluid logical CU problem can be solved with an evolutionary algorithm based on the definition and the theory of quantum calculation. This paper proposes a Fuzzy Model-Based Quantum Greenhouse Evolutionary Ventilation Algorithm (FM-BSQGEVA) which helps to minimize the CU problem. The QGEVA is updated to include a hierarchy-group-oriented scheme to tackle the non-linear nature of the issue and its multifaceted nature. The QGEVA is further developed to support a new binary differential operator and several genetic algorithm operators with a redefined rotational angle look-up. The chances that such operators are used on separate solutions are affected by stating the membership function based on their related fitness. The fitness function is calculated through a combination of the penalty function, objective function and the added fluid function. The models built can be used to regulate and control natural ventilation in greenhouse effects. This finding shows that an energy-intensive industrial cluster’s environmental chain of the industry has improved eco-efficiency.

Optimal Design and Control of a Slider-Crank Mechanism System

2012 ◽  
Vol 487 ◽  
pp. 608-612 ◽  
Author(s):  
Chih Cheng Kao
Keyword(s):  
Particle Swarm Optimization ◽  
System Identification ◽  
Optimal Design ◽  
Fitness Function ◽  
Local Optimum ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization ◽  
Pm Synchronous Motor ◽  
And Control ◽  
Crank Mechanism

This paper mainly proposes an efficient modified particle swarm optimization (MPSO) method, to identify a slider-crank mechanism driven by a field-oriented PM synchronous motor. The parameters of many industrial machines are difficult to obtain if these machines cannot be taken apart. In system identification, we adopt the MPSO method to find parameters of the slider-crank mechanism. This new algorithm is added with “distance” term in the traditional PSO’s fitness function to avoid converging to a local optimum. Finally, the comparisons of numerical simulations and experimental results prove that the MPSO identification method for the slider-crank mechanism is feasible.

scholarly journals Improved Polynomial Fuzzy Modeling and Controller with Stability Analysis for Nonlinear Dynamical Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
Hamed Kharrati ◽  
Sohrab Khanmohammadi ◽  
Witold Pedrycz ◽  
Ghasem Alizadeh
Keyword(s):  
Stability Analysis ◽  
Nonlinear Dynamical Systems ◽  
Fitness Function ◽  
Fuzzy Model ◽  
Taylor Series Expansion ◽  
Fuzzy Modeling ◽  
Lyapunov Theory ◽  
Membership Functions ◽  
Polynomial Fuzzy Systems ◽  
Nonlinear Plant

This study presents an improved model and controller for nonlinear plants using polynomial fuzzy model-based (FMB) systems. To minimize mismatch between the polynomial fuzzy model and nonlinear plant, the suitable parameters of membership functions are determined in a systematic way. Defining an appropriate fitness function and utilizing Taylor series expansion, a genetic algorithm (GA) is used to form the shape of membership functions in polynomial forms, which are afterwards used in fuzzy modeling. To validate the model, a controller based on proposed polynomial fuzzy systems is designed and then applied to both original nonlinear plant and fuzzy model for comparison. Additionally, stability analysis for the proposed polynomial FMB control system is investigated employing Lyapunov theory and a sum of squares (SOS) approach. Moreover, the form of the membership functions is considered in stability analysis. The SOS-based stability conditions are attained using SOSTOOLS. Simulation results are also given to demonstrate the effectiveness of the proposed method.

scholarly journals Human gnathostomiasis: a neglected food-borne zoonosis

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Guo-Hua Liu ◽  
Miao-Miao Sun ◽  
Hany M. Elsheikha ◽  
Yi-Tian Fu ◽  
Hiromu Sugiyama ◽  
...  
Keyword(s):  
Ecological Factors ◽  
Developed Countries ◽  
Host Immunity ◽  
Treatment Control ◽  
Social Ecological ◽  
Food Borne ◽  
Third Stage ◽  
Parasite Biology ◽  
Etiological Agents ◽  
And Control

Abstract Background Human gnathostomiasis is a food-borne zoonosis. Its etiological agents are the third-stage larvae of Gnathostoma spp. Human gnathostomiasis is often reported in developing countries, but it is also an emerging disease in developed countries in non-endemic areas. The recent surge in cases of human gnathostomiasis is mainly due to the increasing consumption of raw freshwater fish, amphibians, and reptiles. Methods This article reviews the literature on Gnathostoma spp. and the disease that these parasites cause in humans. We review the literature on the life cycle and pathogenesis of these parasites, the clinical features, epidemiology, diagnosis, treatment, control, and new molecular findings on human gnathostomiasis, and social-ecological factors related to the transmission of this disease. Conclusions The information presented provides an impetus for studying the parasite biology and host immunity. It is urgently needed to develop a quick and sensitive diagnosis and to develop an effective regimen for the management and control of human gnathostomiasis.

scholarly journals Dynamics and Control of Humanoid Robots: A Geometrical Approach

2010 ◽  
Vol 1 (4) ◽  
Author(s):  
Vladimir G. Ivancevic ◽  
Tijana T. Ivancevic
Keyword(s):  
Phase Space ◽  
Hamiltonian Dynamics ◽  
Fitness Function ◽  
Hamiltonian Formalism ◽  
Humanoid Robots ◽  
Geometrical Approach ◽  
Dynamics And Control ◽  
Definition Of ◽  
Configuration Manifold ◽  
And Control

AbstractThis paper reviews modern geometrical dynamics and control of humanoid robots. This general Lagrangian and Hamiltonian formalism starts with a proper definition of humanoid's configuration manifold, which is a set of all robot's active joint angles. Based on the ‘covariant force law’, the general humanoid's dynamics and control are developed. Autonomous Lagrangian dynamics is formulated on the associated ‘humanoid velocity phase space’, while autonomous Hamiltonian dynamics is formulated on the associated ‘humanoid momentum phase space’. Neural-like hierarchical humanoid control naturally follows this geometrical prescription. This purely rotational and autonomous dynamics and control is then generalized into the framework of modern non-autonomous biomechanics, defining the Hamiltonian fitness function. The paper concludes with several simulation examples.

scholarly journals Fuzzy Model for Selecting a Form of Use Alternative for a Historic Building to be Subjected to Adaptive Reuse

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2809
Author(s):  
Małgorzata Fedorczak-Cisak ◽  
Alicja Kowalska-Koczwara ◽  
Filip Pachla ◽  
Elżbieta Radziszewska-Zielina ◽  
Bartłomiej Szewczyk ◽  
...  
Keyword(s):  
Adaptive Reuse ◽  
Fuzzy Model ◽  
Decision Criteria ◽  
Art Gallery ◽  
Training Centre ◽  
Historic Building ◽  
Financial Benefits ◽  
And Training ◽  
Selection Of ◽  
Linear Nature

Adapting historic buildings to new, modern forms generates not only financial benefits for developers but can also allow them to survive for future generations through proper remodelling. The variety of decision criteria related to the selection of a new function of a historic building makes this problem multidimensional. Many of these criteria are interrelated and have a non-linear nature which requires a comprehensive network-based rather than a classic hierarchical approach to conducting multi-criteria analysis. A comprehensive approach taking into account the specificity of the analysed problem was proposed. The study was supported by an example of the choice of building function as part of the adaptive reuse of a historic building located in Zakopane. The following variants have been analysed: a hostel (existing state), a five-star hotel, a folk art gallery and a conference and training centre. The final rating of alternatives indicates that the hotel best meets the adopted decision criteria.

scholarly journals Rough fuzzy model based feature discretization in intelligent data preprocess

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Qiong Chen ◽  
Mengxing Huang
Keyword(s):  
Equivalence Class ◽  
Rough Set ◽  
Fitness Function ◽  
Fuzzy Model ◽  
Cloud Services ◽  
Complex Data ◽  
Data Types ◽  
Model Based ◽  
Discretization Algorithm ◽  
Feature Discretization

AbstractFeature discretization is an important preprocessing technology for massive data in industrial control. It improves the efficiency of edge-cloud computing by transforming continuous features into discrete ones, so as to meet the requirements of high-quality cloud services. Compared with other discretization methods, the discretization based on rough set has achieved good results in many applications because it can make full use of the known knowledge base without any prior information. However, the equivalence class of rough set is an ordinary set, which is difficult to describe the fuzzy components in the data, and the accuracy is low in some complex data types in big data environment. Therefore, we propose a rough fuzzy model based discretization algorithm (RFMD). Firstly, we use fuzzy c-means clustering to get the membership of each sample to each category. Then, we fuzzify the equivalence class of rough set by the obtained membership, and establish the fitness function of genetic algorithm based on rough fuzzy model to select the optimal discrete breakpoints on the continuous features. Finally, we compare the proposed method with the discretization algorithm based on rough set, the discretization algorithm based on information entropy, and the discretization algorithm based on chi-square test on remote sensing datasets. The experimental results verify the effectiveness of our method.

The Influence of Natural Ventilation to the Thermal and Moisture Environment in a Passive Greenhouse

2011 ◽  
Vol 374-377 ◽  
pp. 57-61
Author(s):  
Lin Hua Zhang ◽  
Li Na Chang
Keyword(s):  
Natural Ventilation ◽  
High Reliability ◽  
Flow Temperature ◽  
Temperature And Humidity ◽  
And Control ◽  
Temporal Field ◽  
Homogeneous Temperature ◽  
Humidity Profiles ◽  
Humidity Field ◽  
Typical Soil

The temperature and humidity profiles in spatial and temporal field inside the greenhouse are coupled to outside climates. Took a typical soil-walled passive greenhouse located in Jinan, Shandong, China as an example, an unsteady tri-dimensional numerical simulation was applied to solve the temperature and humidity profiles under natural ventilation conditions inside the greenhouse, based on the CFD program. The measurement was carried out to validate the CFD model, the results showed that the special temperature and humidity gradient were obvious inside the greenhouse, a homogeneous temperature and humidity field was obtained at crop level. The simulation results agree well with test values about the temperature and humidity inside the greenhouse with fitting degree of 99.8% and 99.7%, respectively. With high reliability, the model can be used as the basis to predict and control the environment inside the greenhouse. Greenhouse with natural ventilation under different wind conditions was simulated on a typical sunny day to predict the distribution of air flow, temperature and humidity field. By analyzing, some useful conclusions which can provide certain basis about the influence of natural ventilation on the thermal and moisture environment are deduced.

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