Beijing University of Posts and Telecommunications

About: Beijing University of Posts and Telecommunications is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: MIMO & Quality of service. The organization has 39576 authors who have published 41525 publications receiving 403759 citations. The organization is also known as: BUPT.

Blind Image Quality Assessment Using Statistical Structural and Luminance Features

Abstract: Blind image quality assessment (BIQA) aims to develop quantitative measures to automatically and accurately estimate perceptual image quality without any prior information about the reference image. In this paper, we introduce a novel BIQA metric by structural and luminance information, based on the characteristics of human visual perception for distorted image. We extract the perceptual structural features of distorted image by the local binary pattern distribution. Besides, the distribution of normalized luminance magnitudes is extracted to represent the luminance changes in distorted image. After extracting the features for structures and luminance, support vector regression is adopted to model the complex nonlinear relationship from feature space to quality measure. The proposed BIQA model is called no-reference quality assessment using statistical structural and luminance features (NRSL). Extensive experiments conducted on four synthetically distorted image databases and three naturally distorted image databases have demonstrated that the proposed NRSL metric compares favorably with the relevant state-of-the-art BIQA models in terms of high correlation with human subjective ratings. The MATLAB source code and validation results of NRSL are publicly online at http://www.ntu.edu.sg/home/wslin/Publications.htm .

How website quality affects online impulse buying: Moderating effects of sales promotion and credit card use

Abstract: The purpose of this paper is to investigate the impact of website quality on online impulse buying behavior (OIBB) in China, and assess the moderating roles of sales promotion and credit card use.,An online and personal survey from 1,161 online shoppers belonging to three big cities of China – Beijing, Shanghai, and Nanjing – was conducted. A random sampling technique was utilized for data collection. Data were analyzed using validity and reliability tests, confirmatory factor analysis, and structural equation modeling.,Three major findings discovered are: first, the website quality positively affects the OIBB; second, the sales promotion significantly influences OIBB and acts as a strong moderator on the relationship between website quality and online impulse buying; and third, the online impulse purchases are positively influenced by use of credit card, and the use of credit card enhances the relationship between website quality and online impulse buying.,First, the website quality positively affects the OIBB; second, the sales promotion significantly influences OIBB and acts as a strong moderator in the relationship between website quality and online impulse buying; and third, online impulse purchases are positively influenced by credit card use. Moreover, credit card use enhances the relationship between website quality and online impulse buying.,This research is the first to investigate the relationship between website quality and OIBB in China, with sales promotion and credit card use as moderators.

A blockchain-based reputation system for data credibility assessment in vehicular networks

Abstract: The security of vehicular networks has been paid increasing attention to with the rapid development of automobile industry and Internet of Things (IoT). However, existing approaches mainly focus on ensuring data authentication and integrity, which are not sufficient to assess the credibility of received messages. Recently, reputation systems are proved to be effective approaches to solve the above problem. This paper proposes a new reputation system for data credibility assessment based on the blockchain techniques. In this system, vehicles rate the received messages based on observations of traffic environments and pack these ratings into a “block”. Each block is “chained” to the previous one by storing the hash value of the previous block. Then, a temporary center node is elected from vehicles and it is responsible for broadcasting its rating block to others. Based on ratings stored in the blockchain, vehicles are able to calculate the reputation value of the message sender and then evaluate the credibility of the message. Simulation results reveal that the proposed system is reliable in collecting, validating, and storing reputation information in vehicular networks.

Multiparty quantum key agreement with single particles

Abstract: Two conditions must be satisfied in a secure quantum key agreement (QKA) protocol: (1) outside eavesdroppers cannot gain the generated key without introducing any error; (2) the generated key cannot be determined by any non-trivial subset of the participants. That is, a secure QKA protocol can not only prevent the outside attackers from stealing the key, but also resist the attack from inside participants, i.e. some dishonest participants determine the key alone by illegal means. How to resist participant attack is an aporia in the design of QKA protocols, especially the multi-party ones. In this paper we present the first secure multiparty QKA protocol against both outside and participant attacks. Further more, we have proved its security in detail.