Tests of thermal macroeconomic theory on simulated microeconomies by Yihang Luo, R S MacKay, Nick Chater

“…The theory aims to apply the mathematical structure of classical thermodynamics, including analogues of temperature and entropy, to predict aspects of the aggregate behaviour of populations of economic agents without analysing their detailed interactions. …”
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Decentralized Kalman Filtering with Multilevel Quantized Innovation in Wireless Sensor Networks by Zhi Zhang, Jianxun Li

“…After that, this paper proposes a new decentralized state estimation algorithm (MQI-KF) for WSNs. Information entropy is analyzed to evaluate the performance of the quantization scheme. …”
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Recognition method based on hesitant fuzzy set for unequal length sequences and its application by Shuangming LI, Xin GUAN, Guidong SUN

“…Aiming at the problem that unequal length sequences were difficult to recognize, a recognition method based on hesitant fuzzy distance measure was proposed.Firstly, the problem was described from the perspective of fuzzy value, and the hesitant fuzzy information recognition model of unequal length sequence was established by lattice closeness degree.Secondly, the mean value, variance, relative range and hesitancy degree of hesitant fuzzy values were defined.Combined with membership difference of the shorter part, the generalized integrated feature distance measure and the generalized weighted integrated feature distance measure were defined to meet relevant properties of metric space, and the strict mathematical proof process was given.Finally, entropy measure and support measure were proposed to determine the weight, and the VIKOR recognition method based on hesitant distance measure was given.The simulation results verify the effectiveness and feasibility of proposed method from numerical examples, energy strategy selection and target recognition respectively.…”
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State-Space Geometry, Statistical Fluctuations, and Black Holes in String Theory by Stefano Bellucci, Bhupendra Nath Tiwari

“…For a given black hole entropy, we explicate the intrinsic geometric meaning of the statistical fluctuations, local and global stability conditions, and long range statistical correlations. …”
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Two-Stage Robust Optimization Model for Uncertainty Investment Portfolio Problems by Dongqing Luan, Chuming Wang, Zhong Wu, Zhijie Xia

“…This paper conducts research on investment portfolios and constructs a two-stage mixed integer programming (TS-MIP) model, which comprehensively considers the five dimensions of profit, diversity, skewness, information entropy, and conditional value at risk. But the deterministic TS-MIP model cannot cope with the uncertainty. …”
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Services selection based on trust evolution and union for cloud computing by HU Chun-hua1, LIU Ji-bo1, LIU Jian-xun3

“…It was difficult for the service consumers to obtain high-quality composite services because of the existence of false or malicious service nodes in cloud computing environment.A novel cloud service-composition method based on the trust span tree was proposed.The trust relationship could be built after many times credible interaction between ser-vices requester and provider,and the trust union would be formed through the credible relationship evolution.So that the uncertain or malicious service should be excluded from the trust span tree,and the service composition would be carried out in a trust environment.At the same time,the measuring strategy of trust relationship among cloud services based on information entropy was designed,which could resolve the deficiencies of the trust parameter analysed by simply weighted angle in the previous studies.The experimental result shows that the method proposed in this paper is more su-perior in credibility and security,comparing to the traditional services selection methods.…”
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APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP by LI YouGen, MA WenSheng, LI FangZhong, WANG QingFeng

“…High dimensional feature samples were constructed by extracting time-frequeney domain characteristies of vibration signal with ensemble empirical mode decomposition(EEMD). combined with characteristies of time domain, frequeney domain and information entropy. The efficient fault classification was achieved by optimizing the quality of input samples with principal component analysis (PCA). …”
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Private-Sector Partner Selection for Public-Private Partnership Projects Based on Improved CRITIC-EMW Weight and GRA -VIKOR Method by Xiangjian Weng, Shan Yang

“…On this basis, this paper proposes a GRA-VIKOR method based on the combined weight of the improved CRITIC-entropy weight method (EWM). The traditional CRITIC method is improved by combining it with EWM. …”
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Does neighborhood walkability affect ethnic diversity in Berlin? Insights from a spatial modeling approach by Alexandros BARTZOKAS-TSIOMPRAS, Yorgos N. PHOTIS

“…On this basis, this paper develops a composite GIS-based walkability measure (0-1) for Berlin metro area and investigates the association of walkable neighborhood design with ethnic diversity (i.e., Entropy Index). We explore this relationship by applying spatial regression models (i.e., OLS, GWR), while we control the effects of traffic-related air pollution (i.e., NO2), building height, and children density. …”
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Adsorption of Alizarin Red S onto Nano-Sized Silica Modified with γ-Aminopropyltriethoxysilane by Deliang Li, Qing Liu, Shuanglong Ma, Zhixian Chang, Ling Zhang

“…From thermodynamic studies, the values of the Gibbs' free energy (ΔG 0 ), standard enthalpy change (ΔH 0 ) and standard entropy change (ΔS 0 ) were calculated as −3.78 kJ/mol, −90.05 kJ/mol and −289.34 J/(mol K), respectively, thereby indicating that the adsorption process was spontaneous and exothermic.…”
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Empowering Agricultural Economic Resilience in China: Does Green Finance Matter? by Xin Zhong, Jian Wang

“…This study employs provincial panel data from China spanning 2012–2021, utilising the entropy weight method and spatial Durbin model to analyse agricultural economic resilience through the lens of green finance. …”
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Network function heterogeneous redundancy deployment method based on immune algorithm by Qingqing ZHANG, Hongbo TANG, Wei YOU, Yingle LI

“…Aiming at the problem that the existing security defense methods cannot resist many unknown vulnerabilities and backdoors in the network function virtualization platform, a mimic defense architecture for network function virtualization using mimic defense ideas was proposed, a heterogeneous redundant deployment method based on an immune algorithm for the construction of heterogeneous pools was proposed.Firstly, the degree of heterogeneity between heterogeneous entities was quantitatively evaluated in combination with the entropy value method, then the network function heterogeneous redundant deployment problem was constructed into a minimax problem with the optimization goal of maximizing the degree of heterogeneity between heterogeneous entities, and finally the immune algorithm was used to quickly solve the optimal deployment solution of network functions.Simulation results show that the proposed method can quickly converge to an optimal deployment scheme and ensure that the overall distribution of heterogeneity between heterogeneous bodies is at a high level, effectively increasing the diversity between heterogeneous bodies and improving the attacker's difficulty.…”
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Entropic Entanglement: Information Prison Break by Alexander Y. Yosifov, Lachezar G. Filipov

“…Also, we suggest that a possible interpretation of the Bekenstein-Hawking bound as entanglement entropy may yield a nonsingular dynamical horizon behavior described by black hole thermodynamics. …”
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Dynamic trust model based on recommendation chain classification in complex network environment by Lin ZHANG, Huan XING, Ru-chuan WANG, Chao-jie WU

“…According to the recommendation information processing problem in complex network environment,a trust model based on the recommendation chain classification was proposed.The classification method was based on honesty attribute of nodes,which could choose an effective recommendation chain on the basis of practical experience data.The recommendation information dissemination parameters were based on the information gain,which made recommendation information be more accurate.The factor of time was also considered in this model.The ability of interaction and the one of honesty were distinguished clearly.The concept of information entropy in information theory was used in the final ag-gregation calculation of direct trust and recommendation trust,which could get rid of the ambiguity of the previous sub-jective parameter settings.The main polymerization parameters could be continuously corrected with the interactions in order to achieve the situation being closest to the reality.Simulation results show the validity of recommendation chain classification and the rationality of the parameter settings in the proposed model.…”
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Modelling the Spatial Distribution Differences of Compulsory Education Resource by Weihong Liang, Changsong Ma

“…Data analysis was conducted using the entropy method, comprehensive evaluation method, K-means clusters analysis, analysis of variance, and spatial statistical analysis (Moran’s I index). …”
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Coupling and Coordination Degree between Urbanization and Ecological Environment in Guizhou, China by Zhengqi Gong, Rongjian Mao, JingJun Jiang

“…This paper intends to examine the coupling and coordination degree (CCD) between the urbanization and ecological environment in Guizhou, China. The entropy weight method and coupling effect model were used to calculate the CCD between the urbanization and ecological environment of Guizhou and each of its prefectures. …”
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A multi-chroma format cascaded coding method for full-chroma image in AVS2 by Liping ZHAO, Tao LIN, Kailun ZHOU, Keli HU, Chunmei LIN

“…In the second generation of audio video coding standard (AVS2),a multi-chroma format cascaded coding method (MCFCC) for full-chroma (4:4:4 sampling format) images coding was proposed.The MCFCC algorithm firstly converts the 4:4:4 sampling format image into 4:2:0 sampling format image,then the 4:2:0 sampling format image was processed by 4:2:0 sampling format intra prediction,transform,quantization,inverse quantization,inverse transform,entropy coding and a weighted 4:4:4 sampling format distortion calculation method in the rate-distortion optimization process,finally 4:4:4 sampling format in-loop filtering and offset algorithms were applied to the 4:4:4 sampling format image after up sampling.The experimental results show that,for full-chroma natural images,the MCFCC algorithm achieves higher coding efficiency at very low additional encoding complexity and very low additional design and implementation cost.…”
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A Comparative Study on the Interaction of Sulfonamide and Nanosulfonamide with Human Serum Albumin by G. Rezaei Behbehani, Moayed Hossaini Sadr, H. Nabipur, L. Barzegar

“…The binding process of sulfonamide to HSA is both enthalpy and entropy driven. The associated equilibrium constants confirm that sulfonamide binds to HSA with high affinity (2.2×106 and 3.86105 M−1 for first and second sets of binding sites, resp.). …”
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A Novel Faults Diagnosis Method for Rolling Element Bearings Based on ELCD and Extreme Learning Machine by Mingliang Liang, Dongmin Su, Daidi Hu, Mingtao Ge

“…Next, time-domain index, energy, and relative entropy of intrinsic scale components were calculated. …”
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Projection Group Decision-making Model of Water Conservancy Project Emergency Plans Based on Interval Intuitionistic Fuzzy Information by CAO Xiongfeng, XIE Wenjing, FENG Jiwei

“…To deal with the group decision-making of emergency plans more accurately and efficiently,this paper proposes a group decision-making model of emergency plans based on interval intuitionistic fuzzy information and projection method,since the decision information with zero value in the aggregation operators will get inaccurate results.First,the interval intuitionistic fuzzy set theory and projection method are utilized to build a multi-objective optimization model to solve the optimal aggregation information of the group.Then,the interval intuitionistic fuzzy entropy is adopted to determine the attribute weight of the index,and the closeness based on the project projection is employed to determine the optimal plan.Finally,the effectiveness of the decision-making model is verified by case analysis.The research results show that the social impact of disasters and the aftermath treatment play an important role in emergency decision-making;the projection decision-making model improves the accuracy and efficiency of the decision-making process and has good applicability and generalization.…”
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