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9 results on '"Wenwen, Hu"'

1. Dynamic Multiparty Quantum Secret Sharing With a Trusted Party Based on Generalized GHZ State

Author

Ri-Gui Zhou, Mingyu Huo, Wenwen Hu, and Yishi Zhao

Subjects
Generalized GHZ state, multiparty to multiparty, quantum cryptography, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

This paper proposes a dynamic multiparty to multiparty quantum secret sharing scheme, where two distant groups of participants can share the common secrets. In our present scheme, a trusted third party is required to reliably prepare all quantum resources. Each agent only needs to perform the local unitary operations or single-particle measurement completing the process of secret sharing. Secret can be recovered only if all agents cooperate each other. Furthermore, a new agent can be added or deleted from the current scheme with the help of the trusted third party. Finally, security analysis shows that our scheme can resist various common attacks. Compared to former existing researches, our scheme can be more efficient in real application.

Published
2021
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2. An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks

Author

Shipu Xu, Chang Liu, Yongshuo Zong, Sirui Chen, Yiwen Lu, Longzhi Yang, Eddie Y. K. Ng, Yongtong Wang, Yunsheng Wang, Yong Liu, Wenwen Hu, and Chenxi Zhang

Subjects
2DCNNs, 3DCNNs, CT images, spatial features, spatial dynamics extracted, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Three-dimensional convolutional neural networks (3DCNNs), a rapidly evolving modality of deep learning, has gained popularity in many fields. For oral cancers, CT images are traditionally processed using two-dimensional input, without considering information between lesion slices. In this paper, we established a 3DCNNs-based image processing algorithm for the early diagnosis of oral cancers, which was compared with a 2DCNNs-based algorithm. The 3D and 2D CNNs were constructed using the same hierarchical structure to profile oral tumors as benign or malignant. Our results showed that 3DCNNs with dynamic characteristics of the enhancement rate image performed better than 2DCNNS with single enhancement sequence for the discrimination of oral cancer lesions. Our data indicate that spatial features and spatial dynamics extracted from 3DCNNs may inform future design of CT-assisted diagnosis system.

Published
2019
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5. Design and Implementation of Online Monitoring System for Soil Salinity and Alkalinity in Yangtze River Delta Tideland

Author

Yunsheng Wang, Yong Liu, Shipu Xu, Wenwen Hu, and Yingjing Wu

Subjects
Hydrology, Delta, Soil salinity, business.industry, Computer science, Alkalinity, food and beverages, Humidity, complex mixtures, Salinity, Current (stream), Agriculture, Precision agriculture, business
Abstract

Soil salinity and alkalinity is an important index concerned by planting industry. In order to meet the demand of long-term observation of soil salinity and alkalinity in precision agriculture and eco-environmental protection, and to solve the current pain points of long sampling period and high cost of soil salinity measurement, this paper designs and implements an online monitoring system for soil salinity alkalinity in tideland in the Yangtze River Delta for crop planting and soil remediation. This system uses solar power supply system and maintenance-free digital sensor, which can be arranged in monitoring area for a long time to collect soil temperature, humidity and salinity data. The collected data can be stored in SD card locally and transmitted to cloud server in real time through 4G network. Up to now, the system has been running stably for nearly two years under the condition of unattended and maintenance free. More than 30000 soil salinity data have been collected from 5 monitoring points, which can be used for long-term observation of the interaction between salinity and plant growth, so as to improve the soil and improve the quality of agriculture products.

Published
2021
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8. The study for microorganisms immobilizing to restoration crude oil contaminated-soil

Author

Wenwen Hu, Dongmei Gao, and Zhenyu Wang

Subjects
food.ingredient, Chemistry, Microorganism, Sodium, Amendment, chemistry.chemical_element, Bead, Biodegradation, Soil contamination, Gelatin, Microbiology, Bioremediation, food, visual_art, visual_art.visual_art_medium, Food science
Abstract

Diatomite was selected as amendment for alginate beads for the aim to immobilize microorganisms to restoration crude oil contaminated-soil. The optimum ratio of sodium alginate and diatomite in the bead was separately 6% and 2%. For complete gelation and highest cell activity, the beads were incubated in calcium chloride sterile solution for 12 h. The obtained indigenous hydrocarbon-degrading microbial community was immobilized in sodium alginate beads (SA) and sodium alginate-diatomite beads (SAD) for biodegradation of crude oil in soil. The results showed that immobilized cells had significant advantages over free strains. At day 20, the maximum of degradation in immobilized systems came to 29.8%, significantly higher than that of free cells (p

Published
2011
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