通讯机构：
[Yaoning Chen; Yuanping Li] C;College of Municipal and Mapping Engineering, Hunan City University, Yiyang, Hunan 413000, China<&wdkj&>College of Environmental Science and Engineering, Hunan University, Changsha 410082, China<&wdkj&>Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
摘要：
Humic substances (HSs) are key indicators of compost maturity and are important for the composting process. The application of additives is generally considered to be an efficient and easy-to-master strategy to promote the humification of composting and quickly caught the interest of researchers. This review summarizes the recent literature on humification promotion by additives in the composting process. Firstly, the organic, inorganic, biological, and compound additives are introduced emphatically, and the effects and mechanisms of various additives on composting humification are systematically discussed. Inorganic, organic, biological, and compound additives can promote 5.58-82.19%, 30.61-50.92%, 2.3-40%, and 28.09-104.51% of humification during composting, respectively. Subsequently, the advantages and disadvantages of various additives in promoting composting humification are discussed and indicated that compound additives are the most promising method in promoting composting humification. Finally, future research on humification promotion is also proposed such as long-term stability, environmental impact, and economic feasibility of additive in the large-scale application of composting. It is aiming to provide a reference for future research and the application of additives in composting.
摘要：
To maximize improving the tracking wind power output plan and the service life of energy storage systems (ESS), a control strategy is proposed for ESS to track wind power planning output based on model prediction and two-layer fuzzy control. First, based on model predictive control, a model with deviations of grid-connected power from the planned output and the minimum deviation of the remaining capacity of the ESS from the ideal value is established as the target. Then, when the grid-connected power exceeds the allowable deviation band of tracking, the weight coefficients in the objective function are adjusted by introducing the first layer of fuzzy control rules, combining the state of charge (SOC) of the ESS with the dynamic tracking demand of the planned value of wind power. When the grid-connected power is within the tracking allowable deviation band, the second layer of fuzzy control rules is used to correct the charging and discharging power of the ESS to improve its ability to track the future planned deviation while not crossing the limit. By repeatedly correcting the charging and discharging power of the ESS, its safe operation and the multitasking execution of the wind power plan output tracking target are ensured. Finally, taking actual data from a wind farm as an example, tests on a simulation platform of a combined wind-storage power generation system verify the feasibility and superiority of the proposed control strategy.
期刊：
International Journal of Energy Technology and Policy,2023年18(3-5):179-194 ISSN：1472-8923
作者机构：
[Man-Li Zhao; Jing-Lu Li] Management School, Hunan City University, Yiyang, 413000, China;Hunan New Type Urbanization Research Institute, Yiyang, 413000, China;[Zi-Qin You] School of Economics and Management, Hainan Normal University, Haikou, 571158, China;[Man-Li Zhao] Hunan New Type Urbanization Research Institute, Yiyang, 413000, China
关键词：
improved minimum cross entropy method;wind power generation;energy storage investment;benefit evaluation;continuous function
摘要：
In order to overcome the problems of low evaluation accuracy and poor correlation in the selection of evaluation parameters in existing benefit evaluation methods, a wind power generation energy storage investment benefit evaluation method based on the improved minimum cross entropy method is proposed. Firstly, in order to clarify the output characteristics of wind power generation, a wind power generation characteristic model is constructed. Then, based on the output characteristics of wind power generation, investment benefit evaluation indicators are determined from the perspectives of economic benefits, cost benefits, and environmental benefits. Finally, the continuous function improved minimum cross entropy method is introduced to calculate the weight of the evaluation index. An investment benefit evaluation model is then built. The test results show that the proposed method can improve the accuracy of investment benefit evaluation, with an evaluation accuracy of over 95%, and the parameter correlation in the evaluation is high.
作者机构：
[Li, Qian; Liu, Mailan; Liu, Honghua; Huang, He; Peng, Han] Hunan Univ Chinese Med, Changsha, Peoples R China.;[Huang, Zhiliang] Hunan City Univ, Yiyang, Peoples R China.;[Wei, Lei] Hunan Inst Sci & Technol, Yueyang, Peoples R China.
通讯机构：
[Liu, ML ] H;Hunan Univ Chinese Med, Changsha, Peoples R China.
摘要：
During mild moxibustion treatment, uncertainties are involved in the operating parameters, such as the moxa-burning temperature, the moxa stick sizes, the stick-to-skin distance, and the skin moisture content. It results in fluctuations in skin surface temperature during mild moxibustion. Existing mild moxibustion treatments almost ignore the uncertainty of operating parameters. The uncertainties lead to excessive skin surface temperature causing intense pain, or over-low temperature reducing efficacy. Therefore, the interval model was employed to measure the uncertainty of the operation parameters in mild moxibustion, and the uncertainty optimization design was performed for the operation parameters. It aimed to provide the maximum thermal penetration of mild moxibustion to enhance efficacy while meeting the surface temperature requirements. The interval uncertainty optimization can fully consider the operating parameter uncertainties to ensure optimal thermal penetration and avoid patient discomfort caused by excessive skin surface temperature. To reduce the computational burden of the optimization solution, a high-precision surrogate model was established through a radial basis neural network (RBNN), and a nonlinear interval model for mild moxibustion treatment was formulated. By introducing the reliability-based possibility degree of interval (RPDI), the interval uncertainty optimization was transformed into a deterministic optimization problem, solved by the genetic algorithm. The results showed that this method could significantly improve the thermal penetration of mild moxibustion while meeting the skin surface temperature requirements, thereby enhancing efficacy.
期刊：
Construction and Building Materials,2023年376:131077 ISSN：0950-0618
通讯作者：
Yiming Yang<&wdkj&>Huang Tang
作者机构：
[Tang, Huang; Yang, Yiming] Hunan City Univ, Sch Civil Engn, Yiyang 413000, Hunan, Peoples R China.;[Peng, Jianxin; Yang, Yiming] Minist Educ, Key Lab Safety Control Bridge Engn, Changsha 410114, Hunan, Peoples R China.;[Yang, Yiming] State Key Lab Performance Monitoring & Protecting, Nanchang 330096, Jiangxi, Peoples R China.;[Yang, Yiming] Hunan Engn Res Ctr Dev & Applicat Ceramsite Concre, Yiyang 413000, Hunan, Peoples R China.;[Liu, Zhanghong] Jiangxi Ganyue Expressway Co Ltd, Nanchang 330096, Jiangxi, Peoples R China.
通讯机构：
[Yiming Yang; Huang Tang] S;School of Civil Engineering, Hunan City University, Yiyang, Hunan 413000, China<&wdkj&>Key Laboratory of Safety Control of Bridge Engineering, Ministry of Education, Changsha, Hunan 410114, China<&wdkj&>State Key Laboratory for Performance Monitoring and Protecting of Rail Transit Infrastructure, Nanchang, Jiangxi 330096, China<&wdkj&>Hunan Engineering Research Center of Development and Application of Ceramsite Concrete Technology, Yiyang, Hunan 413000, China<&wdkj&>School of Civil Engineering, Hunan City University, Yiyang, Hunan 413000, China
摘要：
Reasonable assessment of the failure probability caused by long-term deflection is essential to ensure the service performance of low shrinkage-creep concrete (LSCC) structures. In this paper, the shrinkage and creep models applicable to LSCC are proposed and verified by comparing their results with the experimental data. Then, the non-stationary evolution models of uncertainties of concrete creep and shrinkage are developed. Finally, a long-term deflection-based assessment method of failure probability of LSCC structures is also proposed considering the effect of non-stationary evolution of creep and shrinkage uncertainties. The case analysis results show that ignoring the effect of the non-stationary evolution of creep and shrinkage uncertainties overestimates the long-term deflection, and the deviation in this case study is 10.13%. Compared with the uncertainty of creep, the cumulative failure probability of the case structure is more sensitive to the non-stationary evolution of shrinkage uncertainty. The use of LSCC can greatly reduce the cumulative failure probability of concrete structures caused by excessive long-term deflection. Additionally, the cumulative failure probability of concrete structures is greatly underestimated by using the traditional characteristic parameters of uncertainties of concrete creep and shrinkage.
作者机构：
College of Science, Hunan City University, Yiyang, P. R. China;Department of Mathematics, Huzhou University, Huzhou, P. R. China;[Ghaffar, Abdul] Department of Mathematics, Faculty of Science, Ghazi University, D. G. Khan, Pakistan;[Ghani, Muhammad Usman] Department of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, Punjab, Pakistan;Department of Computer Engineering, Biruni University, Istanbul, Turkey
通讯机构：
[Mustafa Inc] D;Department of Computer Engineering, Biruni University, Istanbul, Turkey<&wdkj&>Department of Medical Research, China Medical University, Taichung, Taiwan
关键词：
Zagreb polynomials;Zagreb indices;benzenoid triangular system;benzenoid Hourglass system;05C07;05C09;05C31;05C76;05C99
摘要：
In this article, we study benzenoid Triangular system and benzenoid Hourglass system and we compute Zagreb polynomials for benzenoid Triangular system and benzenoid Hourglass system and from these Zagreb polynomials we catch up degree based Zagreb indices.
期刊：
Waves in Random and Complex Media,2023年 ISSN：1745-5030
通讯作者：
Hongjian Li
作者机构：
[Cuixiu Xiong] College of Information and Electronic Engineering, Hunan City University, Yiyang, People’s Republic of China;[Hongjian Li; Chao Liu; Banxian Ruan; Min Li; Enduo Gao] School of Physics and Electronics, Central South University, Changsha, People’s Republic of China
通讯机构：
[Hongjian Li] S;School of Physics and Electronics, Central South University, Changsha, People’s Republic of China
摘要：
We propose a hybrid structure composed of a silver mirror and two spaced graphene monolayers to enhance light absorption. A broad plasmon-induced reflection (PIR) window can be generated because of the destructive interference between the bright and dark modes, resulting in a dual-narrowband absorption switching effect. The dual-narrowband absorption switch is strongly dependent on the geometric structure parameters and dynamic tuning parameter of the hybrid structure, and each parameter has a wide tuning range for absorption state ‘on/on’. Especially, compared with the hybrid structure composed of a graphene monolayer and one-dimensional photonic crystal (1D PC), the proposed structure is simpler and easier to fabricate, and the dynamic tuning width of Fermi energy of graphene for light absorption state ‘on/on’ is significantly broadened (∼3 times). Compared with plasmon-induced transparency (PIT) systems, the absorption performance of graphene is greatly enhanced, and the absorption is increased from about 50% to higher than 97%. Moreover, by adjusting the widths of the graphene monolayers, NAND and NOR logic gates are realized, and the output contrast between logic states ‘1’ and ‘0’ is high up to 18.6 dB. This study may provide an approach to construct dual-narrowband absorption switches, perfect absorbers, and plasmon logic gates.
摘要：
An accurate estimation of earth pressure on retaining walls is imperative to achieving its design. This paper presents an analytical method framework that considers the effect of plant transpiration relative to the traditional calculation approaches. Specifically, a closed-form solution for one-dimensional steady unsaturated flow considering plant transpiration is incorporated into a representation of effective stress to obtain the changes in matric suction, and effective stress. The representations are used to extend Hooke's law and Rankine's earth pressure theory to determine at-rest, active, and passive earth pressures. Subsequently, the analytical method is used in a series of analysis case studies on the influence of root architecture types, transpiration rates, and soil types on earth pressure, to reveal that it can rapidly obtain the earth pressure. Notably, the effect of plant transpiration on earth pressure is significant. Furthermore, it is found that soil types and transpiration rates have a larger influence than root architecture types. Collectively, the research not only reveals the effect of plant on earth pressure for retaining wall, but also provides a theoretical basis for further exploration of the contribution of plants to the stability of retaining wall.
摘要：
Sediment is the internal and external source of water environment pollution, so sediment remediation is the premise of water body purification. Sediment microbial fuel cell (SMFC) can remove the organic pollutants in sediment by electroactive microorganisms, compete with methanogens for electrons, and realize resource recycling, methane emission inhibiting and energy recovering. Due to these characteristics, SMFC have attracted wide attention for sediment remediation. In this paper, we comprehensively summarized the recent advances of SMFC in the following areas: (1) The advantages and disadvantages of current applied sediment remediation technologies; (2) The basic principles and influencing factors of SMFC; (3) The application of SMFC for pollutant removal, phosphorus transformation and remote monitoring and power supply; (4) Enhancement strategies for SMFC in sediments remediation such as SMFC coupled with constructed wetland, aquatic plant and iron-based reaction. Finally, we have summarized the drawback of SMFC and discuss the future development directions of applying SMFC for sediment bioremediation.
期刊：
International Journal of Information and Communication Technology,2023年23(1):91-105 ISSN：1466-6642
作者机构：
[Hai Wang] School of Art, Hunan City University, Yi Yang - 413000, Hunan, China
关键词：
stochastic forest algorithm;painting features;feature classification;uniform model;LBP value
摘要：
In order to solve the problems of time-consuming and low classification accuracy of feature extraction in traditional painting feature classification methods, a new method based on stochastic forest algorithm is proposed. The colour feature of painting is converted into HSV component, and the original LBP value of the painting image is converted into 59-dimension feature vector by uniform mode to extract the painting texture feature. The wavelet transform method is used to obtain the high and low frequency band signal of painting features, and the noise reduction of painting features is completed. The similarity coefficient is determined by stochastic forest algorithm, and the similarity matrix of painting features is obtained to complete the classification of painting features. The experimental results show that the accuracy of the classification method can reach 98% and the time is less than 2 s.
