Entropy Flow in Interactive Semiconductor/Metal Nanoensembles

2017 ◽  
pp. 142-160
Author(s):  
Dieter M. Gruen
Keyword(s):  
Entropy Flow

Entropy flow in a two-component system with periodic geophysical inputs

1985 ◽  
Vol 8 (5) ◽  
pp. 515-530
Author(s):  
F. D'Isep ◽  
L. Sertorio ◽  
R. S. Berry
Keyword(s):  
Two Component System ◽  
Entropy Flow ◽  
Component System ◽  
Two Component

Can customer perceived service quality fluctuations predict the performance of retail service supply chain?

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianfei Li ◽  
Bei Li ◽  
Kun Tang ◽  
Mengxia Sun
Keyword(s):  
Supply Chain ◽  
Service Quality ◽  
Dissipative Structure ◽  
Hidden Markov ◽  
Markov Property ◽  
Supply Chain Performance ◽  
Entropy Flow ◽  
Content Type ◽  
Perceived Service Quality ◽  
Dissipation Structure

Purpose Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative mechanisms, including the internal performance dissipation mechanism and the perceived quality dissipation mechanism outside the system. Based on the prediction of RSSC performance, this paper aims to discuss the application of Hidden Markov Model (HMM) in this field and puts forward a set of complete process of forecasting the service supply chain (SSC) performance based on HMM model. Design/methodology/approach Based on the theory of dissipative structure, this paper selects the RSSC as the research object, analyzes the system characteristics of the dissipation structure of RSSC from three aspects, such as system opening type, distance from equilibrium state and nonlinear order and describes the quality fluctuation process of RSSC as a Hidden Markov process. Taking the RSSC of J Company as an example, this paper makes use of the observed state value of customer perceived service quality from 1997 to 2016, predicts the performance status of the enterprise's RSSC. Findings The research results show that: RSSC is a dissipative structure system, and its performance is the internal entropy flow of the system, and the customer perceived service quality is external, their interaction determines the dynamic evolution of the system dissipation structure, and the Markov property between supply chain performance and perceived service quality. There is a Markov property between supply chain performance and perceived service quality. Using the perceived service quality observation state data of the external consumers of the system can effectively predict the implicit state of RSSC performance. Based on this prediction result, the strategy adjustment and optimization of the action mechanism of internal and external entropy flow in the dissipative structure system can be carried out to promote the sustainable development of the RSSC. Originality/value This paper thinks that RSSC is a dissipative structure system and the SSC performance and customer perceived service quality are the internal and external entropy flow of the system, which determines the dynamic evolution of the system dissipation structure. There is a Markov property between supply chain performance and perceived service quality. The hidden state of SSC performance can be predicted effectively by using a hidden Markov model and observing state data of perceived service quality from consumers outside the system.

scholarly journals Internet Public Opinion Diffusion Mechanism in Public Health Emergencies: Based on Entropy Flow Analysis and Dissipative Structure Determination

2021 ◽  
Vol 9 ◽  
Author(s):  
Wanlian Li ◽  
Feng Zeng ◽  
Wei Zhou ◽  
Zhishao Chen
Keyword(s):  
Public Health ◽  
Public Opinion ◽  
Dissipative Structure ◽  
Trigger Point ◽  
Diffusion Mechanism ◽  
Flow Analysis ◽  
Entropy Method ◽  
Entropy Flow ◽  
Brusselator Model ◽  
The Government

As an empirical case, this study selected the illegal production process incidents of rabies and DPT (Diphtheria, Pertussis, Tetanus) vaccines by Changchun Longevity Biotechnology Co., Ltd., which occurred in July 2018. Based on the four factors involved in the spread of public opinion, the public health emergency, netizen, network media, and government, Brusselator model, and entropy method were applied to calculate the positive and negative entropy—to verify whether the Internet public opinion system is a dissipative structure. This study verified four evolution mechanisms in Internet public opinion diffusion, among which the trigger point of entropy-control occurred in the germination mechanism, the entropy-controlled disposal point occurred in the outbreak and fluctuating mechanism, and then became latency in the elimination mechanism. It provides a theoretical reference for the government to judge the stage of such diffusion and improve the governance ability of the opinion mentioned above.

On the Entropy Flow between Parts of Multi-component Systems, Partial Entropies and the Implications for Observations

2000 ◽  
Vol 55 (3-4) ◽  
pp. 405-411
Author(s):  
Hans H. Diebner
Keyword(s):  
Information Flow ◽  
Physical World ◽  
Theoretical Treatment ◽  
First Principle ◽  
Entropy Flow ◽  
Paradoxical Situation ◽  
Component Systems ◽  
Dynamics Simulations ◽  
Space Volume ◽  
Straightforward Extension

Abstract The concept of the time dependent instantaneously occupied phase space volume is applied to multi-component systems. It allows for the investigation of entropy flows betweeen the components of the system and the evaluation of partial entropies assigned to the subsystems. We give numerical examples by means of molecular dynamics simulations of a 100-particle gas. Using a symplectic exactly reversible algorithm, a consistent and reliable evalutation of energy and entropy exchanges as well as the intake of work is achieved. The entropy flow which is related to an information flow is linked to an observational situation. This yields a further indication for the necessity of an intrinsic observer for a better understanding of the physical world. In addition, it indicates the Gödelian structure of cognition in a most serious way because only “first-principle” assumptions are made. Thereby, the paradoxical situation which is created by Jaynes’ concept of an “anthropomorphic entropy” can be resolved by putting the anthropomorphic contents of thermodynamics down to an ontological basis. This is a straightforward extension of Szilard’s and Brillouin’s information theoretical treatment of cognition

scholarly journals Numerical Investigation into the Development Performance of Gas Hydrate by Depressurization Based on Heat Transfer and Entropy Generation Analyses

Entropy ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 1212 ◽  
Author(s):  
Bo Li ◽  
Wen-Na Wei ◽  
Qing-Cui Wan ◽  
Kang Peng ◽  
Ling-Ling Chen
Keyword(s):  
Heat Transfer ◽  
Energy Loss ◽  
Entropy Production ◽  
Entropy Generation ◽  
Gas Hydrate ◽  
Methane Hydrate ◽  
Dynamic Properties ◽  
Entropy Production Rate ◽  
Entropy Flow ◽  
Hydrate Reservoir

The purpose of this study is to analyze the dynamic properties of gas hydrate development from a large hydrate simulator through numerical simulation. A mathematical model of heat transfer and entropy production of methane hydrate dissociation by depressurization has been established, and the change behaviors of various heat flows and entropy generations have been evaluated. Simulation results show that most of the heat supplied from outside is assimilated by methane hydrate. The energy loss caused by the fluid production is insignificant in comparison to the heat assimilation of the hydrate reservoir. The entropy generation of gas hydrate can be considered as the entropy flow from the ambient environment to the hydrate particles, and it is favorable from the perspective of efficient hydrate exploitation. On the contrary, the undesirable entropy generations of water, gas and quartz sand are induced by the irreversible heat conduction and thermal convection under notable temperature gradient in the deposit. Although lower production pressure will lead to larger entropy production of the whole system, the irreversible energy loss is always extremely limited when compared with the amount of thermal energy utilized by methane hydrate. The production pressure should be set as low as possible for the purpose of enhancing exploitation efficiency, as the entropy production rate is not sensitive to the energy recovery rate under depressurization.

scholarly journals Implication of Negative Entropy Flow for Local Rainfall

Entropy ◽  
2013 ◽  
Vol 15 (12) ◽  
pp. 3449-3457 ◽  
Author(s):  
Ying Liu ◽  
Chongjian Liu ◽  
Zhaohui Li
Keyword(s):  
Entropy Flow ◽  
Negative Entropy ◽  
Local Rainfall
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