The unclear developmentdirection of human society is a deep reason for that it is difficult to form a uniform ethical standard for human society and artificial intelligence. Since the 21st century, the latest advances...
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Artificial intelligence (AI) like deep learning, cloud AI computation has been advancing at a rapid pace since 2014. There is no doubt that the prosperity of AI is inseparable with the development of the Internet. How...
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The wide spread use of online recruitment services has led to information explosion in the job market. As a result, the recruiters have to seek the intelligent ways for Person-Job Fit, which is the bridge for adapting...
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Zero-Shot learning is an important research in the field of machine learning and image recognition. Zero-Shot learning methods normally use the semantic information among unseen classes and seen classes to transfer th...
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This paper addresses the problem of receiving a timetable for a settled network with maximal synchronization. In this paper, a model has been developed to solve the problem which attaches importance to creating a time...
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In order to simultaneous nondestructive on-line inspect edible quality and internal defect of apple, this work presents the development of an on-line detection prototype system using near infrared transmittance techno...
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In order to simultaneous nondestructive on-line inspect edible quality and internal defect of apple, this work presents the development of an on-line detection prototype system using near infrared transmittance technology as a novel approach for on-line detect quality attributes without sample destructiveness. The on-line detection system was designed and developed to improve spectra signal quality, lower heat damage, reduce mechanical damage. Special detection software was developed for real-time inspection based on multithread programming technology. This prototype on-line system needed 80 ms capture transmittance spectra of an apple. Linear discriminant analysis (LDA) model was developed to identify internal defects samples. The results obtained from LDA models, in validation, gave a positive predictive value of classification about 90.14%. Moreover, established model strategy is first selection characteristic spectral ranges by synergy interval partial least squares (siPLS), then on the extraction of feature wavelength by stepwise multiple linear regression (SMLR). Calibration models were performed applying siPLS-SMLR algorithm to predict the soluble solid content (SSC) in apple. Results of the siPLS-SMLR model using 9 selected feature wavelengths were correlation coefficient (R) of 0.8764 and root mean square error of prediction (RMSEP) of 0.8649 Brix, respectively.. The results showed that the e on-line detection prototype based on NIR transmittance technique was feasible to simultaneous inspect the edible quality and internal defect of apple. The present research provides the foundation for the future development of an automatic system based on transmittance spectroscopy which is extremely important from the economic point of view.
In this paper, we investigate flexible power transfer among electric vehicles (EVs) from a cooperative perspective in an EV system. First, the concept of cooperative EV-to- EV (V2V) charging is introduced, which enabl...
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With the rapid development of identity-based cryptography, several traceable (or linkable) identity-based ring signature (TIBRS) schemes have been proposed. Compared with ring signature based on public key cryptograph...
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0-1 knapsack problems (KPs) is a typical NP-hard problem in combinatorial optimization problem. For the sake of efficiency, it becomes increasingly popular for researchers to apply heuristic techniques to solve the 0-...
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The genetic models are greatly important in the analysis of genetic epidemiologic studies and many of the studies are conducted using the trend test under the additive model. However, for many complex diseases and tra...
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The genetic models are greatly important in the analysis of genetic epidemiologic studies and many of the studies are conducted using the trend test under the additive model. However, for many complex diseases and traits, the underlying genetic model for a genetic locus is usually uncertain. So a robust test free of genetic model is appropriate. In this paper, the authors propose a model-embedded trend test by incorporating Hardy-Weinberg equilibrium information and obtain the explicit formula to calculate its statistical significance. Extensive simulation studies show the proposed test is more robust than the existing procedures. Finally, a real application is further analyzed to show the performance of the proposed test.
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