Zhejiang Gongshang University

About: Zhejiang Gongshang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 8258 authors who have published 7670 publications receiving 90296 citations. The organization is also known as: Zhèjiāng Gōngshāng Dàxué.

A Hybrid Encryption Algorithm Based on DES and RSA in Bluetooth Communication

Abstract: To enhance the security of data transmission in Bluetooth communication, a hybrid encryption algorithm based on DES and RSA is proposed. The currently used encryption algorithm employed by the Bluetooth to protect the confidentiality of data during transport between two or more devices is a 128-bit symmetric stream cipher called E0. It may be broken under certain conditions with the time complexity O(264). In the proposed hybrid encryption algorithm, instead of the E0 encryption, DES algorithm is used for data transmission because of its higher efficiency in block encryption, and RSA algorithm is used for the encryption of the key of the DES because of its management advantages in key cipher. Under the dual protection with the DES algorithm and the RSA algorithm, the data transmission in the Bluetooth system will be more secure. Meanwhile, it is clear that the procedure of the entire encryption is still simple and efficient as ever. In addition, the confidentiality of the hybrid encryption algorithm is also discussed.

Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network

Abstract: Traffic sign detection plays an important role in intelligent transportation systems. But traffic signs are still not well-detected by deep convolution neural network-based methods because the sizes of their feature maps are constrained, and the environmental context information has not been fully exploited by other researchers. What we need is a way to incorporate relevant context detail from the neighboring layers into the detection architecture. We have developed a novel traffic sign detection approach based on recurrent attention for multi-scale analysis and use of local context in the image. Experiments on the German traffic sign detection benchmark and the Tsinghua-Tencent 100K data set demonstrated that our approach obtained an accuracy comparable to the state-of-the-art approaches in traffic sign detection.

The Roles of Depth and Breadth of Vocabulary Knowledge in EFL Reading Performance

Abstract: Vocabulary knowledge plays a very important role in reading tests and reading research has consistently found a word knowledge factor on which vocabulary tests load highly. Tests of vocabulary are highly predictive of performance on tests of reading comprehension. The present paper intends to review in detail the relationships between the breath and depth of vocabulary knowledge and EFL reading comprehension.

The Colors of Health: Chemistry, Bioactivity, and Market Demand for Colorful Foods and Natural Food Sources of Colorants.

Abstract: There is an increasing consumer demand for natural colors in foods. However, there is a limited number of available natural food sources for use by the food industry because of technical and regula...