Target Recognition Based on Rough Set with Multi-Source Information

Abstract As the attributes provided by multi-source information can be used to distinguish between the different species of targets, attributes recognition becomes the most important work in target recognition. In this paper, a new method for attributes recognition was proposed with rough set theory. It used a new way to described the target with a information system consisting of four elements, reduced the attribute value according to the mission requirements, valuated the attribute based on the degree of importance, and recognized targets by the sum of valuation. Finally, a set of experiments were designed to demonstrate the effectiveness of the proposed method. Furthermore, the factors that would affect the performance of the recognition system were discussed.</jats:p

Field aging declines the regulatory effects of biochar on cadmium uptake by pepper in the soil

Biochar application is not only being widely promoted as an ideal strategy to mitigate global climate warming, but it also has the advantage of reducing heavy metal bioavailability and migration in the soil. However, studies on the effects of field aging on biochar to reduce heavy metals from the soil are still limited. The present study aimed to explore the effects and mechanisms of aged biochar added to the soil planted with pepper plants on cadmium (Cd) uptake. To achieve this, un-amended soil (control), soil amended with fresh biochar, and aged biochar (biochar recovered from a long-term field trial after 9 years) were used to investigate the effects of field aging on biochar adsorption efficiency. The results revealed that the amount of Cd in the plant planted in control soil, amended with fresh and aged biochar, accounted for 40 ± 6.10, 17.18 ± 1.19, and 18.68 ± 0.79, respectively. There was a significant difference (P < 0.05) in the amount of Cd that was uptaken by plants among all treatments. However, soil amended with fresh biochar significantly (P < 0.05) decreased the amount of Cd in plants compared with soil amended with aged biochar. This indicates that field aging declines the potential of biochar to lower heavy metal bioavailability and retention in the soil. This study demonstrates that long-term burial lessens the ability of biochar to interact with Cd and suggests that biochar amendment can lower Cd in the soil, depending on the freshness and aging of biochar

Microsoft Word - 8278 Tamplate.

Abstract: With the developments of network communication, electronic commerce plays a more and more role in the trade business and industry structure. The requirement for the electronic commerce turns to be higher. In this study, we study current status about the cryptographic algorithms exploited in electronic commerce. We discuss the advantages and disadvantages about the symmetric and asymmetric algorithms and improve them. Then we give a new scheme that combines the improved symmetric algorithm and asymmetric algorithm. We give sound reasons to explain why our scheme is more secure. Finally, we carry the experiments to show the security of our scheme

Research of Cryptographic Algorithms Applied in Electronic Commerce

With the developments of network communication, electronic commerce plays a more and more role in the trade business and industry structure. The requirement for the electronic commerce turns to be higher. In this study, we study current status about the cryptographic algorithms exploited in electronic commerce. We discuss the advantages and disadvantages about the symmetric and asymmetric algorithms and improve them. Then we give a new scheme that combines the improved symmetric algorithm and asymmetric algorithm. We give sound reasons to explain why our scheme is more secure. Finally, we carry the experiments to show the security of our scheme

The Preference and Profile Analyzing Algorithm for Travel E-Commerce Users Based on Bayesian Network

with the rapid development of internet, planning the traveling online through travel e-commerce is accepted by more and more people. Traditional traveling company will mainly focus on the promotion and publicity of the tourism products, few attentions are paid on the customer preference analyzing, which hinders the further application of travel e-commerce. Regarding this problem, this paper presents a Bayesian network based user preference and profile analyzing algorithm which can be used to predict user behavior according to the model trained by history data. The simulation experiment can validate the validity of the method proposed.</jats:p