scholarly journals Research on knowledge innovation of supply chain enterprises from the perspective of the thermodynamic entropy theory

2019 ◽  
Vol 23 (5 Part A) ◽  
pp. 2721-2729
Author(s):  
Li Xiang ◽  
Longying Hu
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Information Entropy ◽  
Management System ◽  
Entropy Theory ◽  
Microscopic Mechanism ◽  
Thermodynamic Entropy ◽  
Knowledge Innovation ◽  
Thermodynamics System ◽  
Management Entropy

The theory of thermodynamic entropy is applied for reference to solve the basic problems of supply chain management science and knowledge innovation of supply chain enterprises. As for entropy, only thermodynamic entropy, statistical physical entropy and information entropy have been recognized, so management entropy is defined as the generalization of entropy. According to the similarity between state change of management system and that of the thermodynamics system, the revelation of the microscopic mechanism of entropy essence by statistical physical entropy, and the foundation that information entropy is regarded as the generalization of entropy by scholars, it is concluded that management entropy exists and has the same properties as thermodynamic entropy. For instance, it becomes a measure of the degree of chaos and disorder of a system and the time vector of the management system. A knowledge innovation sharing model of supply chain enterprises is constructed based on the thermodynamic entropy theory, the process of knowledge sharing in supply chain is analyzed, and the possibility of knowledge sharing among supply chain enterprises from the point of view of game theory is discussed. The principal-agent theory is used to analyze the incentive strategy to promote knowledge sharing in supply chain, and the model of knowledge sharing in supply chain is established.

Approach for cleaning uncertain data based on information entropy theory

2013 ◽  
Vol 33 (9) ◽  
pp. 2490-2492
Author(s):  
Yuanxiang QIN ◽  
Liang DUAN ◽  
Kun YUE
Keyword(s):  
Information Entropy ◽  
Uncertain Data ◽  
Entropy Theory

scholarly journals Research on Pattern Recognition Method of Blockage Signal in Pipeline Based on LMD Information Entropy and ELM

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Jingzong Yang ◽  
Xiaodong Wang ◽  
Zao Feng ◽  
Guoyong Huang
Keyword(s):  
Pattern Recognition ◽  
Impulse Response ◽  
Information Entropy ◽  
Operating Conditions ◽  
Support Vector ◽  
Entropy Theory ◽  
Pattern Recognition Method ◽  
Response Signal ◽  
Recognition Method ◽  
Learning Machine

Aiming at the nonstationary and nonlinear characteristics of acoustic impulse response signal in pipeline blockage and the difficulty in identifying the different degrees of blockage, this paper proposed a pattern recognition method based on local mean decomposition (LMD), information entropy theory, and extreme learning machine (ELM). Firstly, the impulse response signals of pipeline extracted in different operating conditions were decomposed with LMD method into a series of product functions (PFs). Secondly, based on the information entropy theory, the appropriate energy entropy, singular spectrum entropy, power spectrum entropy, and Hilbert spectrum entropy were extracted as the input feature vectors. Finally, ELM was introduced for classification of pipeline blockage. Through the analysis of acoustic impulse response signal collected under the condition of health and different degrees of blockages in pipeline, the results show that the proposed method can well characterize the state information. Also, it has a great advantage in terms of accuracy and it is time consuming when compared with the support vector machine (SVM) and BP (backpropagation) model.

scholarly journals Effect of Knowledge Sharing and Digital Management to Performance on Ecotourism in Ranong Province, Thailand

2020 ◽  
Vol 11 (5) ◽  
pp. 481
Author(s):  
Witthaya Mekhum ◽  
Chonmapat Torasa
Keyword(s):  
Knowledge Sharing ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Management System ◽  
Partial Least Square ◽  
Least Square ◽  
Survey Method ◽  
Tourist Attraction ◽  
Digital Management ◽  
Information And Communication

Ecotourism is the combination of ecosystem and tourism. Ecosystem tourism includes travel to destinations where flora, fauna, and cultural heritage are the primary attractions. Present study wants to establish the link between knowledge sharing, information and communication technology (ICT) and ecotourism performance with mediation of tourist attraction and digital management system among employees of ecotourism provider companies in Ranong province of Thailand. Data is collected through questionnaire survey method and via dropdown technique. Partial Least Square (PLS) is used in this study for data analysis. Results indicate that knowledge sharing related to ecotourism and ICT has positive significant impact on ecotourism performance and on tourist attraction and digital management system respectively. Tourist attraction has positive significant impact on ecotourism performance but not mediate the relation. Digital management system mediates the relation and also has the positive significant impact on ecotourism performance. Practitioners should focus on knowledge sharing variable, ICT and digital management system for increasing the ecotourism performance among ecotourism provider companies in Ranong province of Thailand.

scholarly journals QUANTUM MEASUREMENTS, INFORMATION AND ENTROPY PRODUCTION

1999 ◽  
Vol 13 (28) ◽  
pp. 3369-3382 ◽  
Author(s):  
Y. N. SRIVASTAVA ◽  
G. VITIELLO ◽  
A. WIDOM
Keyword(s):  
Entropy Production ◽  
Information Entropy ◽  
Quantum Measurements ◽  
Second Law ◽  
Quantum Object ◽  
Measurement Apparatus ◽  
Thermodynamic Entropy ◽  
Classical Measurement ◽  
The Relationship

In order to understand the Landau–Lifshitz conjecture on the relationship between quantum measurements and the thermodynamic second law, we discuss the notion of "diabatic" and "adiabatic" forces exerted by the quantum object on the classical measurement apparatus. The notion of heat and work in measurements is made manifest in this approach and the relationship between information entropy and thermodynamic entropy is explored.

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