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Institution

Zhejiang Gongshang University

EducationHangzhou, China
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.


Papers
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Journal ArticleDOI
TL;DR: This paper uses a questionnaire survey and web crawler to collect experience data of online and offline users, constructs a customer satisfaction index system by analyzing emotion and the existing literature for quantitative analysis, and builds aback propagation (BP) neural network model to forecast user satisfaction.

256 citations

Journal ArticleDOI
TL;DR: The results from this study suggest that B. coagulans SC8168 supplemented at a certain concentration could significantly increase survival rate and some digestive enzyme activities of P. vannamei larvae.

249 citations

Journal ArticleDOI
TL;DR: After 40 days, the tilapias supplemented with the probiotic showed significantly better final weight and daily weight gain than those fed the basal diet.

248 citations

Journal ArticleDOI
TL;DR: In this article, the effect of salinity on activated sludge and its microorganisms was reviewed and the feasibility of treatment of saline wastewater by using the acclimated salt tolerant activated SLudge was evaluated.

247 citations

Journal ArticleDOI
TL;DR: This paper proposes a new authentication protocol for VANETs in a decentralized group model by using a new group signature scheme that is featured with threshold authentication, efficient revocation, unforgeability, anonymity, and traceability.
Abstract: Vehicular ad hoc networks (VANETs) have recently received significant attention in improving traffic safety and efficiency. However, communication trust and user privacy still present practical concerns to the deployment of VANETs, as many existing authentication protocols for VANETs either suffer from the heavy workload of downloading the latest revocation list from a remote authority or cannot allow drivers on the road to decide the trustworthiness of a message when the authentication on messages is anonymous. In this paper, to cope with these challenging concerns, we propose a new authentication protocol for VANETs in a decentralized group model by using a new group signature scheme. With the assistance of the new group signature scheme, the proposed authentication protocol is featured with threshold authentication, efficient revocation, unforgeability, anonymity, and traceability. In addition, the assisting group signature scheme may also be of independent interest, as it is characterized by efficient traceability and message linkability at the same time. Extensive analyses indicate that our proposed threshold anonymous authentication protocol is secure, and the verification of messages among vehicles can be accelerated by using batch message processing techniques.

245 citations


Authors

Showing all 8318 results

NameH-indexPapersCitations
David Julian McClements131113771123
Sajal K. Das85112429785
Ye Wang8546624052
Xun Wang8460632187
Tao Jiang8294027018
Yueming Jiang7945220563
Mo Wang6127413664
Robert J. Linhardt58119053368
Jiankun Hu5749311430
Xuming Zhang5638410788
Yuan Li503528771
Chunping Yang491738604
Duo Li483299060
Matthew Campbell4823613448
Aiqian Ye481636120
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202325
2022153
2021937
2020770
2019627