Emission reduction decision of agricultural supply chain considering carbon tax and investment cooperation

Liu, Zheng; Lang, Lingling; Hu, Bin; Shi, Lihua; Huang, Bangtong; Zhao, Yuanjun

doi:10.1016/j.jclepro.2021.126305

Cited by 101 publications

(68 citation statements)

References 4 publications

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“…According to the different functional requirements of the users of the IoV, we can effectively supervise the operation status of the IoV and provide users with diversified intelligent services to realize the interconnection between vehicles and roads, vehicles and vehicles, vehicles and owners, and vehicles and social public information platforms. At present, most of the services provided by the IoV are still focused on the intelligent monitoring of vehicles, and the integration of vehicles, people, roads, weather, and public value-added services has not been realized [ 41 , 42 ]. The IoV system is mainly composed of a terminal layer, network layer, platform layer, and application layer.…”

Section: System Framework Of Internet Of Vehicles and Artificial Neural Networkmentioning

confidence: 99%

“…PM2.5 refers to fine particles that can be suspended in the air for a long time when their diameter is less than or equal to 2.5 mm in aerodynamics. The chemical composition of PM2.5 mainly includes organic carbon and elemental carbon [ 42 , 43 ]. The natural source includes sand pollen, which may be mixed with trace amounts of volcanic eruption volcanic ash emitted from the gas.…”

Section: Analysis and Prediction Of Pm25 Concentration In Beijing Tianjin And Hebeimentioning

confidence: 99%

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[Retracted] Analysis of Influencing Factors of PM2.5 Concentration and Design of a Pollutant Diffusion Model Based on an Artificial Neural Network in the Environment of the Internet of Vehicles

Pan

2021

Computational Intelligence and Neuroscience

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With the development of the automobile industry, artificial intelligence, big data, 5G, and other technologies, the Internet of Vehicles (IoV) industry has entered a stage of rapid development. In this paper, a pollutant diffusion model based on an artificial neural network is designed in the context of a vehicle network. The application of artificial neural networks in haze prediction is studied. This paper first analyzes the causes and influencing factors of haze and selects the most representative and relatively large meteorological factors from temperature, wind, relative humidity, and several pollutant factors. Through training and simulation, a haze prediction model in the Beijing, Tianjin, and Hebei regions of China is established. Finally, according to the collected meteorological data, the pollutant diffusion model is established. The model is deduced by a standard mathematical formula, which makes the prediction results more accurate and rigorous, and the main conclusions and feasible scientific suggestions are obtained. The simulation results show that the method is effective. By strengthening the service system of the IoV, meteorological services can be more intelligent, and the information acquisition and service ability of the vehicle network can be effectively improved.

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Section: System Framework Of Internet Of Vehicles and Artificial Neural Networkmentioning

confidence: 99%

Section: Analysis and Prediction Of Pm25 Concentration In Beijing Tianjin And Hebeimentioning

confidence: 99%

[Retracted] Analysis of Influencing Factors of PM2.5 Concentration and Design of a Pollutant Diffusion Model Based on an Artificial Neural Network in the Environment of the Internet of Vehicles

Pan

2021

Computational Intelligence and Neuroscience

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“…2 , the interaction between TI and BMD can bring great performance to enterprises for the full sample. The research conclusions of K. Rhoads and others also show that RTI and NBMD are more conducive to improve business performance [ 18 ]. Therefore, H3a, H3b, H4a, and H4b are confirmed.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, in the supply chain, companies can enhance their bargaining power thanks to ITI, so that the company’s expenditure on suppliers or partners will reduce ( Ci ( t )↓), and the income of the focal firm will increase ( Ri ( t )↑). Thus, ITI has an obviously positive influence on enterprise performance due to P ( t )↑, Ci ( t )↓, Ri ( t )↑, CF ( t )↓ and n ( t )↑ [ 18 ].…”

Section: Related Workmentioning

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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“…However, even for quantum dot materials, the spectrum is not strictly in the pulse distribution. In the mathematical model, Gaussian distribution can be used to simulate the spectrum [30,31]. Equation ( 15) is given as follows:…”

Section: 2mentioning

confidence: 99%

Application of Virtual Display Technology of LCD Backlight Spectrum Optimization Algorithm Based on Linear Programming

Chen

Cheng

et al. 2021

Wireless Communications and Mobile Computing

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In order to make the color of image display more realistic, optimize the use of energy, and improve the light efficiency of the module through reasonable spectral distribution, this paper proposes a backlight spectral optimization algorithm based on linear programming. With the goal of maximizing the backlight luminous efficiency, the theoretical maximum of the luminous efficiency of the backlight spectrum can be achieved by constructing a linear programming model. The research process is to obtain the optimal distribution of transmittance spectrum by linear programming method on the premise of ensuring the color gamut standard of display system. The results show that the light efficiency can be increased to 335.5 lm/W, while the original light efficiency of the system is less than 150 lm/W. With the goal of maximizing the light efficiency, light sources with narrow bandwidths such as lasers and quantum dot materials can be used to simulate and reconstruct these characteristic wavelengths. There will be easier to approach the ideal optimization spectrum and achieve the theoretical maximum luminous efficiency of 610.8 lm/W.

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Emission reduction decision of agricultural supply chain considering carbon tax and investment cooperation

Cited by 101 publications

References 4 publications

[Retracted] Analysis of Influencing Factors of PM2.5 Concentration and Design of a Pollutant Diffusion Model Based on an Artificial Neural Network in the Environment of the Internet of Vehicles

[Retracted] Analysis of Influencing Factors of PM2.5 Concentration and Design of a Pollutant Diffusion Model Based on an Artificial Neural Network in the Environment of the Internet of Vehicles

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

Application of Virtual Display Technology of LCD Backlight Spectrum Optimization Algorithm Based on Linear Programming

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