المؤلفون: Fangqiu Xu, Kaiye Gao, Bowen Xiao, Jicheng Liu, Zixuan Wu

المصدر: Energy Reports, Vol 8, Iss , Pp 7892-7907 (2022)

مصطلحات موضوعية: Risk assessment, Integrated energy system, HF-DEMATEL-CPT, Hesitant fuzzy sets, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: The carbon neutrality target challenges the reliability of integrated energy system (IES) and therefore it is necessary to assess the comprehensive risk of IES projects for investors and managers. This work proposes a hesitant fuzzy multi-criteria decision-making framework to assess the risk of IES. In this framework, 16 risk factors are firstly identified from economy, technology, politics, society and management. Then, the HF-DEMATEL-CPT approach is proposed to assess the IES risk by combining the hesitant fuzzy sets (HFS), decision-making trial and evaluation laboratory (DEMATEL) and cumulative prospect theory (CPT). Finally, a case is studied to analyze the risk factors of IES and assess the risks of four IES alternatives. The results show that there are 8 causal factors and 8 effect factors in IES risks and A3 is selected as the optimal solution. The sensitivity analysis is presented to prove the robustness of the result. Moreover, the proposed method is compared with other three risk assessment methods to show its superiority. Therefore, this study provides an effective and practical framework for IES risk assessment.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2352484722011532Test; https://doaj.org/toc/2352-4847Test

الوصول الحر: https://doaj.org/article/0367d1187b3849e5a1ceb45a9627e2a7Test

المؤلفون: Yuxin Zheng, Shijuan Lang, Junjie Liang, Yongchun Jiang, Biyi Zhao, Hongxin Chen, Dongqing Huang, Qinyi Li, Huijin Liu, Shudi Chen, Anniwaer Yilifate, Fangqiu Xu, Haining Ou, Qiang Lin

المصدر: Frontiers in Aging Neuroscience, Vol 14 (2022)

مصطلحات موضوعية: gait analysis, MCI, dual-task, dual-task cost, rehabilitation, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: BackgroundMild cognitive impairment (MCI) is considered a transitional stage between cognitive normality and dementia among the elderly, and its associated risk of developing Alzheimer’s disease (AD) is 10–15 times higher than that of the general population. MCI is an important threshold for the prevention and control of AD, and intervention in the MCI stage may be the most effective strategy to delay the occurrence of AD.Materials and methodsIn this study, 68 subjects who met the inclusion criteria were divided into an MCI group (38 subjects) and normal elderly (NE) group (30 subjects). Both groups underwent clinical function assessments (cognitive function, walking function, and activities of daily living) and dual-task three-dimensional gait analysis (walking motor task and walking calculation task). Spatial-temporal parameters were obtained and reduced by principal component analysis, and the key biomechanical indexes were selected. The dual-task cost (DTC) was calculated for intra-group (task factor) and inter-group (group factor) comparisons.ResultsThe results of the principal component analysis showed that the cadence parameter had the highest weight in all three walking tasks. In addition, there were significant differences in the cadence both walking motor task (WMT) vs. walking task (WT) and walking calculation task (WCT) vs. WT in the MCI group. The cadence in the NE group only showed a significant difference between WMT and WT. The only differences between the MCI group and NE group was DTC cadence in WCT, and no differences were found for cadence in any of the three walking tasks.ConclusionThe results show that dual tasks based on cognitive-motor gait analysis of DTCcadence in MCI have potential value for application in early identification and provide theoretical support to improve the clinical diagnosis of MCI.

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fnagi.2022.969822/fullTest; https://doaj.org/toc/1663-4365Test

الوصول الحر: https://doaj.org/article/e292886b781f4dbe8f04d9cb8a357bd0Test

المؤلفون: Jicheng Liu, Fangqiu Xu, Shuaishuai Lin, Hua Cai, Suli Yan

المصدر: Energies, Vol 11, Iss 12, p 3286 (2018)

مصطلحات موضوعية: multi-agent system, demand response, microgrid optimization, particle swarm optimization, energy storage, Technology

الوصف: The optimal operation of microgrids is a comprehensive and complex energy utilization and management problem. In order to guarantee the efficient and economic operation of microgrids, a three-layer multi-agent system including distributed management system agent, microgrid central control agent and microgrid control element agent is proposed considering energy storage units and demand response. Then, based on this multi-agent system and with the objective of cost minimization, an operation optimization model for microgrids is constructed from three aspects: operation cost, environmental impact and security. To solve this model, dynamic guiding chaotic search particle swarm optimization is adopted and three scenarios including basic scenario, energy storage participation and demand response participation are simulated and analyzed. The results show that both energy storage unit and demand response can effectively reduce the cost of microgrid, improve the operation and management level and ensure the safety and stability of power supply and utilization.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/1996-1073/11/12/3286Test; https://doaj.org/toc/1996-1073Test

الوصول الحر: https://doaj.org/article/d93ae1c476f34d1a9aa5f45e4ac1fae9Test

المؤلفون: Yuxin Zheng, Shijuan Lang, Junjie Liang, Yongchun Jiang, Biyi Zhao, Hongxin Chen, Dongqing Huang, Qinyi Li, Huijin Liu, Shudi Chen, Anniwaer Yilifate, Fangqiu Xu, Haining Ou, Qiang Lin

مصطلحات موضوعية: Neuroscience, Pathology, Health Care, Psychiatry (incl. Psychotherapy), Clinical Sciences not elsewhere classified, Central Nervous System, Aged Care Nursing, Aged Health Care, Protein Trafficking, gait analysis, MCI, dual-task, dual-task cost, rehabilitation

الوصف: Background Mild cognitive impairment (MCI) is considered a transitional stage between cognitive normality and dementia among the elderly, and its associated risk of developing Alzheimer’s disease (AD) is 10–15 times higher than that of the general population. MCI is an important threshold for the prevention and control of AD, and intervention in the MCI stage may be the most effective strategy to delay the occurrence of AD. Materials and methods In this study, 68 subjects who met the inclusion criteria were divided into an MCI group (38 subjects) and normal elderly (NE) group (30 subjects). Both groups underwent clinical function assessments (cognitive function, walking function, and activities of daily living) and dual-task three-dimensional gait analysis (walking motor task and walking calculation task). Spatial-temporal parameters were obtained and reduced by principal component analysis, and the key biomechanical indexes were selected. The dual-task cost (DTC) was calculated for intra-group (task factor) and inter-group (group factor) comparisons. Results The results of the principal component analysis showed that the cadence parameter had the highest weight in all three walking tasks. In addition, there were significant differences in the cadence both walking motor task (WMT) vs. walking task (WT) and walking calculation task (WCT) vs. WT in the MCI group. The cadence in the NE group only showed a significant difference between WMT and WT. The only differences between the MCI group and NE group was DTC cadence in WCT, and no differences were found for cadence in any of the three walking tasks. Conclusion The results show that dual tasks based on cognitive-motor gait analysis of DTC cadence in MCI have potential value for application in early identification and provide theoretical support to improve the clinical diagnosis of MCI.

العلاقة: https://figshare.com/articles/dataset/Table_1_Effects_of_motor-cognitive_interaction_based_on_dual-task_gait_analysis_recognition_in_middle_age_to_aging_people_with_normal_cognition_and_mild_cognitive_impairment_docx/21268020Test

الإتاحة: https://doi.org/10.3389/fnagi.2022.969822.s001Test
https://figshare.com/articles/dataset/Table_1_Effects_of_motor-cognitive_interaction_based_on_dual-task_gait_analysis_recognition_in_middle_age_to_aging_people_with_normal_cognition_and_mild_cognitive_impairment_docx/21268020Test

المؤلفون: Fangqiu Xu, Jicheng Liu, Xiaoxu Fu, Cuicui Luo, Zhenzhen Wang

المصدر: Wuhan University Journal of Natural Sciences. 24:515-518

مصطلحات موضوعية: Multidisciplinary, Cumulative prospect theory, Operations research, Computer science, 020209 energy, Photovoltaic system, 02 engineering and technology, 010501 environmental sciences, Investment (macroeconomics), 01 natural sciences, Group decision-making, Investment decisions, Choquet integral, Scale (social sciences), 0202 electrical engineering, electronic engineering, information engineering, Fuzzy number, 0105 earth and related environmental sciences

الوصف: With the development of photovoltaic (PV) industry, installing small-scale PV systems which are integrated into the buildings becomes popular. Therefore, it is important to make optimal investment decisions for investors and consumers. This paper proposes an improved group decision-making method which integrates the cumulative prospect theory and Choquet integral for the investment options of small-scale PV systems. From the perspective of sustainability, the alternatives are evaluated by four criteria, including economic benefits, solar energy condition, carbon emissions and social benefits. Since the performances of criteria are given by decision makers as linguistic variables, the proposed method measures the criteria values by intuitionistic trapezoidal fuzzy numbers. Then the alternatives are evaluated and ranked to determine the optimal option. Finally, the proposed method is implemented in a case study to illustrate its feasibility and effectiveness.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::94e5e89b54c14d70abb03c661d397b5aTest
https://doi.org/10.1007/s11859-019-1430-6Test

المؤلفون: Cunbin Li, Shuaishuai Lin, Fangqiu Xu, Wenle Li

المصدر: Intelligent Decision Technologies. 12:283-292

مصطلحات موضوعية: Computer science, business.industry, Condition-based maintenance, 05 social sciences, 050301 education, Cloud computing, 02 engineering and technology, Reliability engineering, Human-Computer Interaction, Artificial Intelligence, Electrical equipment, Strategy research, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, business, 0503 education, Software

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::1191ae1080acdbce98b0e290b597ab4aTest
https://doi.org/10.3233/idt-180333Test

المؤلفون: Shuaishuai Lin, Cunbin Li, Jicheng Liu, Ding Liu, Fangqiu Xu

المصدر: Journal of Cleaner Production. 205:909-922

مصطلحات موضوعية: Wind power, Mean squared error, Renewable Energy, Sustainability and the Environment, Computer science, business.industry, 020209 energy, Strategy and Management, Wavelet transform, 02 engineering and technology, 010501 environmental sciences, computer.software_genre, 01 natural sciences, Industrial and Manufacturing Engineering, Wind speed, Support vector machine, Mean absolute percentage error, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Cuckoo search, business, computer, Physics::Atmospheric and Oceanic Physics, Randomness, 0105 earth and related environmental sciences, General Environmental Science

الوصف: In recent years, wind power industry has been developing rapidly as the wind resources are clean, cheap and inexhaustible. However, it is difficult to supply steady wind power generation due to the strong randomness, volatility and uncontrollability of wind energy. Therefore, it is significant to propose an efficient wind power prediction model. In this paper, a short-term wind power prediction model is proposed based on data mining technology and improved support vector machine method. In this model, data mining is employed to investigate the relationship between wind speed and wind power output and then modify the invalid original data. Then, based on wavelet transform method, the high frequency parts of the original signal can be eliminated. Next, cuckoo search algorithm is used to optimize kernel function and penalty factor of support vector machine in order to improve the accuracy of the forecast result. Finally, a wind farm located in the Northwest China is selected to perform the case study. The results indicate that the proposed model has the best performance according to the values of several error assessment indexes, including mean absolute error, mean squared error and mean absolute percentage error.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::a34bcc4234afcbf6fa16475f639ca1bcTest
https://doi.org/10.1016/j.jclepro.2018.09.143Test

المؤلفون: Fangqiu Xu, Shuaishuai Lin, Jicheng Liu, Cunbin Li, Qiongjie Dai

المصدر: Energy. 163:585-603

مصطلحات موضوعية: Mathematical optimization, Wind power, business.industry, Computer science, 020209 energy, Mechanical Engineering, Pareto principle, 02 engineering and technology, Building and Construction, 021001 nanoscience & nanotechnology, Grid, Pollution, Multi-objective optimization, Industrial and Manufacturing Engineering, Energy storage, Power (physics), General Energy, Computer data storage, Genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, 0210 nano-technology, business, Civil and Structural Engineering

الوصف: In recent years, the wind curtailment has become a serious problem in China and the government are actively seeking solutions to deal with this energy loss. Therefore, the use of non-grid-connected wind power has received great attention since it can be supplied to local end users equipped with energy storage and then mitigate wind curtailment. Since the non-grid-connected wind power and local power load have to confront dramatic power fluctuations, a hybrid energy storage system (HESS) including batteries and supercapacitors is applied. This paper proposes a multi-objective optimization model of HESS configuration in non-grid-connected wind power/energy storage/local user system. In this model, two decision variables, numbers of batteries and supercapacitors, are determined based on the objective of annual profit maximization and wind curtailment rate minimization. To solve this model, a non-dominated sorting genetic algorithm II (NSGA-II) is employed to obtain Pareto front and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) technique is applied to select the optimal solution from Pareto solutions. Finally, a wind farm in Hebei province is studied and discussed. A scenario analysis, a sensitivity analysis and a comparative analysis are performed to show the advantages of the proposed model.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8de979c5259daafe74c9b0e4a133503dTest
https://doi.org/10.1016/j.energy.2018.08.152Test

المؤلفون: Fangqiu Xu

المصدر: Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019).

مصطلحات موضوعية: Scientific socialism, Socialism, Anticipation (artificial intelligence), Political science, Productive forces, Neoclassical economics, Commodity (Marxism), Stage theory

الوصف: Based on the the guide of Marxism scientific socialism theory and the center of thesis of primary stage of socialism theory, with the developed capitalist socialist in the middle of the 19th century as the background, the article is the formation of the socialist stage about the theoretical results. And that, it is also the new found world by criticizing the old world. Their anticipation on the future socialist characteristics does not conform to the situation of socialist development in a hundred years. This thesis, from the combination of theory and practice, studies and demonstrates that the """"primary stage of socialism"""" is the breakthrough and innovation of principles of Marxism from multitudinous aspects. Papers does not agree that the primary stage of socialism is defined as an inevitable experience certain stage in the condition of the backward productive forces and underdeveloped commodity economy. Afterwards, the general significance of the primary stage to the world socialist construction is illustrated.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::662caf77af31a213f574cdd27740f20aTest
https://doi.org/10.2991/assehr.k.200401.021Test

المؤلفون: Fangqiu Xu

المصدر: Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019).

مصطلحات موضوعية: Resource (biology), Index (economics), business.industry, Resource allocation, Sample (statistics), Business, Environmental economics, China, Human resources, Science, technology and society, High tech

الوصف: High-tech industry's science and technology resource allocation has a characteristic of regional concentration, and optimizing the allocation is conductive to balanced development of regional high-tech industry. By constructing the measurement indicator system of the science and technology resource allocation level based on human resource, material resource and financial resource, doing sample empirical analysis on the data of science and technology resource allocation indicators of high-tech industry of 31 regions in China from 2005 to 2009, an important conclusion is drawn that the balanced index of science and technology resource allocation of high-tech industry of our country is relatively small, and regional high-tech industry's science and technology resource allocation is extremely unbalanced.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::65405a696822e71ec1ea7b4c7f6545a0Test
https://doi.org/10.2991/assehr.k.200401.029Test