Geng Zhang

Shandong University of Technology

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Yingfeng Zhang

Guangzhou University of Chinese Medicine

Nickolas Vlahopoulos

University of Michigan–Ann Arbor

Huixia Ding

China Electric Power Research Institute

Yanan Wang

Shanghai Polytechnic University

Fuqian Wang

Wuhan No.1 Hospital

Yonghui Zhang

Huazhong University of Science and Technology

Chun‐Hsien Chen

Nanyang Technological University

Pai Zheng

Hong Kong Polytechnic University

Kaiqiang Gao

China Electric Power Research Institute

Yang Wang

University of Electronic Science and Technology of China

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

North China Electric Power University

Northwestern Polytechnical University

Huazhong University of Science and Technology

Beijing University of Posts and Telecommunications

Sun Yat-sen University

Nanyang Technological University

China Electric Power Research Institute

Sichuan University

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A traffic congestion control method in the cyber physical systems

Dihua Sun Tong Zhou Min Zhao Weining Liu Zhiyong Yang

Congestion control is a process to achieve optimal decision-making and effective control of vehicles through the interaction of vehicular perception and control, and it shows the typical characteristic of cyber physical systems. Based on the physical-world model of Konishi et al., a new control method to suppress the traffic jam is proposed in the feedback cyber physical systems under the open boundary, which considers the effect of safe headway on the traffic system from the perspective of tight conjoining between the transportation cyber system and the transportation physical system. By using the Hurwitz stability criteria and the H∞ norm theory, the condition under which the traffic jam can be well suppressed is analyzed. Comparison between our method and the previous methods is carried out. The simulation results show that the temporal behavior obtained by our method is better than those of the previous control methods, and our control method could be well applied to traffic congestion control in cyber physical systems. The simulation results are consistent with the theoretical analysis.

Cyber-physical system

Headway

Physical system

Linear control systems

10.1109/itsc.2014.6958198

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Citations (0)

An Outdoor Installation Protection Plan Based On Ring Network And Reliability Research

Geng Zhang Donghui Wang Wei Liu Song Wang

Aimed at outdoor installation of substation site implementation scheme and the pilot station project under construction, This paper investigates the outdoor elements installation protection design combined with cross-interval outdoor installation of bus protection and transformer protection application demand, whose research meet the outdoor installation protection function to realize the communication mechanism, message format, as well as protecting the private network synchronization, reliability and other key issues. In conclusion, combined with the latest communication networking mode of substation, an outdoor component installation protection network communication scheme based on HSR ring network is proposed. At last, also the feasibility of ring network is simulated.

Network Access Protection

Component (thermodynamics)

10.1109/smartcloud49737.2020.00031

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Citations (0)

Edge-cloud orchestration driven industrial smart product-service systems solution design based on CPS and IIoT

Advanced Engineering Informatics (2019)

Bufan Liu Yingfeng Zhang Geng Zhang Pai Zheng

Orchestration

Cyber-physical system

Product-service system

Industry 4.0

Value proposition

10.1016/j.aei.2019.100984

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Citations (113)

Nidulaxanthone A, a xanthone dimer with a heptacyclic 6/6/6/6/6/6/6 ring system fromAspergillussp.-F029

Organic Chemistry Frontiers (2020)

Fuqian Wang Jie Jiang Song Hu Xincai Hao You‐Sheng Cai

Nidulaxanthone A (1), a xanthone dimer bearing an unprecedented heptacyclic 6/6/6/6/6/6/6 system, together with a new monomeric nidulalin D (2) and four known analogues (3,4,5and6), were isolated fromAspergillussp. F029.

Xanthone

10.1039/d0qo00113a

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Citations (10)

An Adaptive Parallel Feature Learning and Hybrid Feature Fusion-Based Deep Learning Approach for Machining Condition Monitoring

IEEE Transactions on Cybernetics (2022)

Bufan Liu Chun‐Hsien Chen Pai Zheng Geng Zhang

The rapid development of information and communication technologies has facilitated machining condition monitoring toward a data-driven paradigm, of which the Industrial Internet of Things (IIoT) serves as the fundamental basis to acquire data from physical equipment with sensing technologies as well as to learn the relationship between the system condition and the collected condition monitoring data. However, most data-driven methods suffer from using a single-domain space, ignoring the importance of the learned features, and failing to incorporate the handcrafted features assisted by domain knowledge. To solve these limitations, a novel deep learning approach is proposed for machining condition monitoring in the IIoT environment, which consists of three phases, including: 1) the unsupervised parallel feature extraction; 2) adaptive feature importance weighting; and 3) hybrid feature fusion. First, separate sparse autoencoders are utilized to conduct the unsupervised parallel feature extraction, which enables to learn abstract feature representation from multiple domain spaces simultaneously. Then, an attention module is designed for the adaptive feature importance weighting, which can assign higher weights to those critical features accordingly. Moreover, a hybrid feature fusion is deployed to complement the automatic feature learning and further yield better model performance by fusing the handcrafted features assisted by domain knowledge. Finally, a real-life case study and extensive experiments have been conducted to show the effectiveness and superiority of the proposed approach.

Feature (linguistics)

Feature Learning

Feature vector

10.1109/tcyb.2022.3178116

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Citations (19)

Biochemical Methanol Gas Sensor (MeOH Bio-Sniffer) for Non-Invasive Assessment of Intestinal Flora from Breath Methanol

Sensors (2021)

Koji Toma Kanako Iwasaki Geng Zhang Kenta Iitani Takahiro Arakawa

Methanol (MeOH) in exhaled breath has potential for non-invasive assessment of intestinal flora. In this study, we have developed a biochemical gas sensor (bio-sniffer) for MeOH in the gas phase using fluorometry and a cascade reaction with two enzymes, alcohol oxidase (AOD) and formaldehyde dehydrogenase (FALDH). In the cascade reaction, oxidation of MeOH was initially catalyzed by AOD to produce formaldehyde, and then this formaldehyde was successively oxidized via FALDH catalysis together with reduction of oxidized form of β-nicotinamide adenine dinucleotide (NAD+). As a result of the cascade reaction, reduced form of NAD (NADH) was produced, and MeOH vapor was measured by detecting autofluorescence of NADH. In the development of the MeOH bio-sniffer, three conditions were optimized: selecting a suitable FALDH for better discrimination of MeOH from ethanol in the cascade reaction; buffer pH that maximizes the cascade reaction; and materials and methods to prevent leaking of NAD+ solution from an AOD-FALDH membrane. The dynamic range of the constructed MeOH bio-sniffer was 0.32-20 ppm, which encompassed the MeOH concentration in exhaled breath of healthy people. The measurement of exhaled breath of a healthy subject showed a similar sensorgram to the standard MeOH vapor. These results suggest that the MeOH bio-sniffer exploiting the cascade reaction will become a powerful tool for the non-invasive intestinal flora testing.

Formaldehyde dehydrogenase

Alcohol oxidase

10.3390/s21144897

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Citations (15)

Research on the business QoS and trustworthy and controllable strategies mechanism for energy internet

IOP Conference Series Earth and Environmental Science (2017)

Geng Zhang Meiling Lu Dahua Zhang Liang Zhou Likang Li

Energy internet is a kind of power sharing network, which can realize the bidirectional flow of energy information on the basis of the existing power grid. It puts forward higher requirements for reliability and controllability of information communication, and all kinds of business QoS of the backbone network. So the research of business QoS and trustworthy and controllable strategies mechanism have an important significance for the development of energy internet. This paper mainly studies how to use the software defined network (SDN) to achieve business QoS, and provide QoS support for all kinds of business of the energy internet. Combined with the current development situation of the energy internet in our country, this paper researches the trustworthy and controllable strategies mechanism for energy internet, and proposes the transition scheme of the IPv6 credible network architecture based on SDN. This coordinates the contradiction between the growing demand for energy internet applications and the limitations of the energy internet technology itself.

10.1088/1742-6596/52/1/012032

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Citations (1)

Single Machine Scheduling Problem with Controllable Setup and Job Processing Times and Position-Dependent Workloads

IOP Conference Series Materials Science and Engineering (2020)

Chengxin Luo Geng Zhang

Abstract This paper concerns with a single-machine scheduling problem in which each job has a setup before being processed, the setup time and the processing time of jobs are controllable by allocating a continuously nonrenewable resource, respectively. This is different from that of [13], in which a job only has a processing time, but without a setup time. We assume that each setup and processing time of jobs has a workload that is both job and position-dependent. In the problem investigated, the total amount of resource for setup and processing times does not exceed an up bound, respectively. The objective is to determine the setup sequence, the job sequence and the resource allocation scheme to minimize makespan. We show that the problem can be solved in polynomial time and present an optimal algorithm.

Position (finance)

Single-machine scheduling

Sequence (biology)

10.1088/1757-899x/790/1/012093

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Citations (2)

MTA, an RNA m6A Methyltransferase, Enhances Drought Tolerance by Regulating the Development of Trichomes and Roots in Poplar

International Journal of Molecular Sciences (2020)

Liang Lu Yan Zhang Qizouhong He Zengxing Qi Geng Zhang

N6-methyladenosine (m6A) is the most prevalent internal modification present in the mRNAs of all higher eukaryotes, where it is present within both coding and noncoding regions. In mammals, methylation requires the catalysis of a multicomponent m6A methyltransferase complex. Proposed biological functions for m6A modification include pre-mRNA splicing, RNA stability, cell fate regulation, and embryonic development. However, few studies have been conducted on m6A modification in trees. In particular, the regulation mechanism of RNA m6A in Populus development remains to be further elucidated. Here, we show that PtrMTA (Populus trichocarpa methyltransferase) was colocalized with PtrFIP37 in the nucleus. Importantly, the PtrMTA-overexpressing plants significantly increased the density of trichomes and exhibited a more developed root system than that of wild-type controls. Moreover, we found that PtrMTA-overexpressing plants had better tolerance to drought stress. We also found PtrMTA was a component of the m6A methyltransferase complex, which participated in the formation of m6A methylation in poplar. Taken together, these results demonstrate that PtrMTA is involved in drought resistance by affecting the development of trichomes and roots, which will provide new clues for the study of RNA m6A modification and expand our understanding of the epigenetic molecular mechanism in woody plants.

Trichome

Populus trichocarpa

N6-Methyladenosine

RNA methylation

10.3390/ijms21072462

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Citations (48)

Separation and identification of flavonoids from fistular onion stalk (Allium fisturosum L. var. Caespitosum Makio)

Journal of Huazhong University of Science and Technology [Medical Sciences] (2010)

Qinqin Fu Jingyou Liu Changgong Zhang Yinbo Zhou Geng Zhang

Stalk

Identification

10.1007/s11596-010-0224-z

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Citations (7)