Suggested Topics within your search.
Suggested Topics within your search.
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Féeton (B − L gauge boson) dark matter testable in future direct detection experiments
Published 2024-12-01Get full text
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4263
Research on Optimization of 3D Tourism Virtual Crossover Scene based on Semantic Perception Analysis
Published 2022-01-01Get full text
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4264
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Frequency-Division Combination Forecasting of Stock Market Based on Wavelet Multiresolution Analysis
Published 2018-01-01“…Using the daily closing price data of SSE (Shanghai Stock Exchange) Composite Index and Shenzhen Component Index as samples, compared with conventional wavelet prediction model, ARIMA model, and BP neural network model, the empirical results show that the new algorithm M-ARIMA-BP can improve the accuracy of volatility forecasting and perform better in predicting prices rising and falling.…”
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4266
Corporate Social Responsibility Disclosure, Debt Financing Costs, and Innovation Capacity
Published 2021-01-01“…Drawing on a sample of Chinese A-share listed companies in Shanghai and Shenzhen from 2009 to 2018, the study examined the relationship between corporate social responsibility disclosure, debt financing costs, and innovation capacity. …”
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4267
Nonlinear Fluctuation Behavior of Financial Time Series Model by Statistical Physics System
Published 2014-01-01“…From this financial model, we study the statistical behaviors of return time series, and the corresponding behaviors of returns for Shanghai Stock Exchange Composite Index (SSECI) and Hang Seng Index (HSI) are also comparatively studied. …”
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4268
Extending the Borders of Translation and Translation Studies: Cultural Translation as a Portal
Published 2024-10-01Get full text
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Abnormal trajectory detection method based on enhanced density clustering and abnormal information mining
Published 2017-12-01“…Aiming at problems of low accuracy in the recognition and difficulty in enriching the information of abnormal behavior in the social security incidents，an abnormal trajectory detection method based on enhanced density clustering and abnormal information mining was proposed.Firstly，combined with Hausdorff distance，an enhanced DTW distance aiming at the problem of sampling to describe the behavior in detail was proposed.And based on the MBR distance， some definitions to describe the geographical distribution of trajectory were proposed.Secondly，with the density-distance decision model of CFSFDP algorithm，intelligent recognition of cluster was realized by using the difference of SSVR which was proposed based on SVR.Finally，based on the analysis of distribution under the two kinds of density，more abnormal information could be mined，three kinds of abnormal trajectories would be recognized.And the simulation results on trajectory data of Shanghai and Beijing verify that the algorithm is objective and efficient.Comparing to existing method，accuracy in the clustering is promoted by 10%，and the abnormal trajectories are sorted， abnormal information is enriched.…”
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4271
A Benders Decomposition Algorithm for the Passenger Train Service Planning
Published 2021-01-01“…Finally, our model and algorithm are tested on a real-world instance of the Beijing-Shanghai high-speed railway line. The computational results show that our approach can solve these problems within reasonable solution time and small optimality gaps (less than 2.5%).…”
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GENERALIZED ASYMMETRIC POWER ARCH MODELING OF NATIONAL STOCK MARKET RETURNS
Published 2009-12-01“…Bu çalışmada, sekiz ülkenin ulusal borsa endeks getirilerinde (Nasdaq100, DAX, Nikkei225, Strait Times, MerVal, IPC, Shanghai Composite and ISE100) farklı hata dağılımlarına bağlı olarak oynaklık yapılarını belirlemek üzere Ding, Granger and Engle (1993) tarafından ileri sürülen Genelleştirilmiş Asimetrik Üslü ARCH (APGARCH) modelinin uygulanabilirliği araştırılmıştır. …”
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Convergence Results on Iteration Algorithms to Linear Systems
Published 2014-01-01Get full text
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A Risk-Averse Newsvendor Model under Stochastic Market Price
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System detecting network anomaly with visualization techniques
Published 2018-02-01“…With the fast development of information technology and computer network,the scale and complexity of network security data grows rapidly.Traditional visualization techniques are no longer suitable.In addition,it designs interactive functions based on the feature of network security analysis,in order to assist the network security analyst.The existing approaches for network security visualization have some defects,which fail to provide a good indication of network security data in terms of timing and also fail to display information completely and realize user-friendly interaction.A multi-view network security visualization system was proposed,which provided the analysts of both the static status and dynamic changes of the network by combining the force-oriented model and the staged animation.It provides comprehensive information with display and filter of protocols,IP segment and port.The system on Shanghai Network database were evaluated.…”
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Recognition Code of ZNF191(243-368) and Its Interaction with DNA
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The Hybrid Method of VMD-PSR-SVD and Improved Binary PSO-KNN for Fault Diagnosis of Bearing
Published 2019-01-01Get full text
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