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Unfolding neutron spectra from water-pumping-injection multilayered concentric sphere neutron spectrometer using self-adaptive differential evolution algorithm

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Nuclear Science and Techniques 2021年第3期32卷 41-51页

作者： Rui Li jian-bo yang Xian-Guo Tuo Jie Xu Rui Shi Chengdu University of Technology Chengdu 610059China Sichuan University of Science and Engineering Zigong 643000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610059China

A self-adaptive differential evolution neutron spectrum unfolding algorithm(SDENUA)is established in this study to unfold the neutron spectra obtained from a water-pumping-injection multilayered concentric sphere neutron spectrometer(WMNS).Specifically,the neutron fluence bounds are estimated to accelerate the algorithm convergence,and the minimum error between the optimal solution and input neutron counts with relative uncertainties is limited to 10^(-6)to avoid unnecessary calculations.Furthermore,the crossover probability and scaling factor are self-adaptively controlled.FLUKA Monte Carlo is used to simulate the readings of the WMNS under(1)a spectrum of Cf-252 and(2)its spectrum after being moderated,(3)a spectrum used for boron neutron capture therapy,and(4)a reactor spectrum.Subsequently,the measured neutron counts are unfolded using the SDENUA.The uncertainties of the measured neutron count and the response matrix are considered in the SDENUA,which does not require complex parameter tuning or an a priori default spectrum.The results indicate that the solutions of the SDENUA agree better with the IAEA spectra than those of MAXED and GRAVEL in UMG 3.1,and the errors of the final results calculated using the SDENUA are less than 12%.The established SDENUA can be used to unfold spectra from the WMNS.

关键词： Water-pumping-injection multilayered spectrometer Neutron spectrum unfolding Differential evolution algorithm Self-adaptive control

Unfolding analysis of LaBr3:Ce gamma spectrum with a detector response matrix constructing algorithm based on energy resolution calibration

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Nuclear Science and Techniques 2018年第1期29卷 23-31页

作者： Rui Shi Xian-Guo Tuo Huai-Liang Li yang-yang Xu Fan-Rong Shi jian-bo yang Yong Luo Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory Southwest University of Science and Technology Mianyang 621010 China Sichuan University of Science and Engineering Zigong 643000 China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu 610059 China

With respect to the gamma spectrum, the energy resolution improves with increase in energy. The counts of full energy peak change with energy, and this approximately complies with the Gaussian distribution. This study mainly examines a method to deconvolve the LaBr_3:Ce gamma spectrum with a detector response matrix constructing algorithm based on energy resolution calibration.In the algorithm, the full width at half maximum(FWHM)of full energy peak was calculated by the cubic spline interpolation algorithm and calibrated by a square root of a quadratic function that changes with the energy. Additionally, the detector response matrix was constructed to deconvolve the gamma spectrum. Furthermore, an improved SNIP algorithm was proposed to eliminate the background. In the experiment, several independent peaks of ^(152)Eu,^(137)Cs, and ^(60)Co sources were detected by a LaBr_3:Ce scintillator that were selected to calibrate the energy resolution. The boosted Gold algorithm was applied to deconvolve the gamma spectrum. The results showed that the peak position difference between the experiment and the deconvolution was within ± 2 channels and the relative error of peak area was approximately within 0.96–6.74%. Finally, a ^(133) Ba spectrum was deconvolved to verify the efficiency and accuracy of the algorithm in unfolding the overlapped peaks.

关键词： Detector response matrix Energy resolution calibration LaBr3:Ce scintillator SNIP background elimination boosted Gold deconvolution algorithm

239Pu alpha spectrum analysis based on PIPS detector response function and variations with vacuum and distance

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Nuclear Science and Techniques 2017年第1期28卷 20-26页

作者： Rui Shi Xian-Guo Tuo Huai-Liang Li jian-bo yang Yi Cheng Hong-Long Zheng Provincial Key Lab of Applied Nuclear Techniques in Geosciences Chengdu University of TechnologyChengdu 610059 China Sichuan University of Science and Engineering Zigong 643000 China Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory Southwest University of Science and Technology Mianyang 621010 China

Effect factors of the absorption of the source,air,entrance window,and dead layer of a detector must be considered in the measurement of monoenergetic alpha particles,along with statistical noise and other factors that collectively cause the alpha spectrum to exhibit a well-known low-energy tail.Therefore,the estabUshment of an alpha spectrum detector response function from the perspective of a signaling system must consider the various factors mentioned above.The detector response function is the convolution of an alphaparticle pulse function,two exponential functions,and a Gaussian function,followed by calculation of the parameters of the detector response function using the weighted leastsquares fitting method as proposed in this paper.In our experiment,^(239)Pu alpha spectra were measured by a highresolution,passivated implanted planar silicon(PIPS)detector at 10 levels of vacuum and 10 source-detector distances.The spectrum-fitting results were excellent as evaluated by reduced Chi-square(x^2) and correlation coefficients.Finally,the variation of parameters with vacuum level and source-detector distance was studied.Results demonstrate that σ,τ_1,and τ_2 exhibit no obvious trend of variation with vacuum in the range 2000-20,000 mTorr,and at a confidence level of 95%,the values of τ_1 and τ_2 decline in a similar fashion with source-detector distance by the power exponential function,while the value of a declines linearly.

关键词： Alpha spectrum Detector response function Weighted least squares PIPS detector

Decentralised energy and its performance assessment models

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Frontiers of Engineering Management 2021年第2期8卷 183-198页

作者： Ting WU Dong-Ling XU jian-bo yang Alliance Manchester Business School The University of ManchesterManchester M139SSUK

Energy development concerns not only the development of renewable energies but also the shift from centralised to clean,decentralised power generation.The development of decentralised energy(DE)is a core part of the energy and economic strategies being adopted around the world that drives the progress toward a highly sustainable future.This paper reviews the concepts,development status,trends,benefits and challenges of DE systems and analyses the existing models and methods for assessing the performance of these systems.A hierarchical decision model for evaluating the performance of DE systems is also constructed based on the framework of multiple criteria decision analysis,which considers the identification,definition and assessment grade of decision criteria.The evidential reasoning approach is applied to aggregate assessment information in a case study of the implementation of an intelligent decision system.Sensitivity and trade-off analyses are also conducted to show how the proposed model can be used to support decision making in DE systems.

关键词： decentralised energy assessment model MCDA evidential reasoning sensitivity analysis

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Guest Editorial

International Journal of Automation and computing 2006年第2期3卷 I0001-I0002页

作者： jian-bo yang The University of Manchester UK

The UK-China Research Network on Intelligent Automation, Computing and Manufacturing has been established since September 2004 by grants from the Engineering and Physical Sciences Research Council （EPSRC） of the UK and the National Natural Science Foundation of China. The initiative of the network is motivated by the last visit of the UK Science Minister Lord Sainsbury to China to open the first UK-China Hi-Tech Forum and by the current EPSRC initiative to set up specific network programmes in collaboration with partners in China.

关键词： real Guest Editorial mode

Decision Support System for Evaluating Impact of Product Carbon Labeling Scheme

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Frontiers of Engineering Management 2014年第1期1卷 89-104页

作者： Dong-ling Xu Chris Foster Ying Hu jian-bo yang Manchester Business School The University of Manchester

In this paper a decision support system for systematically evaluating the impact of labeling products with their carbon footprints is developed and applied to prioritize products for carbon labeling in a large supermarket chain in the UK.Carbon labels may change consumers’ behavior and encourage suppliers to implement carbon-reduction solutions.Those changes may,however,lead to unintended risks.To handle the challenges of uncertainties in the evaluation,the Evidential Reasoning approach and the Intelligent Decision System software for multi-criteria decision analysis are applied to support the process.The system developed can be applied to assessing the impact of sustainable development policies to maximize their benefits and minimize their risks.

关键词： impact assessment multiple criteria decision analysis risk analysis carbon footprint decision support system product carbon labeling

Overall Efficiency and its Decomposition in a Two-Stage Network DEA Model

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Journal of Management Science and Engineering 2017年第3期2卷 161-192页

作者： Guo-Liang yang Yao-Yao Song Dong-Ling Xu jian-bo yang Institutes of Science and Development China Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Alliance Manchester Business School the University of ManchesterManchester M139SSUK

This paper aims to propose a new approach to decompose an overall data envelopment analysis model into equivalent two-stage models.In this approach,we use a minimax reference point method to set the weights and reliabilities of the two stage models so that the combined efficiency of the two stages is equal to the overall efficiency.The equivalent multi-stage models are useful to support planning for performance improvement.An illustrative example is first explored to compare the results from the new approach with those of four other existing approaches.The main finding from the comparisons is that the new decomposition approach of this paper satisfies the proposed assumptions.A case study is then conducted on a two-stage process of steel manufacturing to illustrate the validity and applicability of the proposed approach.

关键词： Two-stage network DEA Overall efficiency Decomposition Evidential reasoning Performance improvement

科学基金项目立项评估:综合评价信息可靠性的多指标证据推理规则研究

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中国管理科学 2016年第10期24卷 141-148页

作者：朱卫东刘芳王东鹏 jian-bo yang 合肥工业大学经济学院安徽合肥230009 合肥工业大学管理学院安徽合肥230009 杭州电子科技大学浙江杭州310018 曼彻斯特大学商学院

公正合理的科研项目立项评估与选择是国家自然科学基金管理活动的关键环节。综合考虑科研项目的评估指标体系和选择流程,提出了利用历史评估准确性度量专家提供信息可靠性的方法,进而提出了一种系统性的基于证据推理规则的科学基金项目... 详细信息

公正合理的科研项目立项评估与选择是国家自然科学基金管理活动的关键环节。综合考虑科研项目的评估指标体系和选择流程,提出了利用历史评估准确性度量专家提供信息可靠性的方法,进而提出了一种系统性的基于证据推理规则的科学基金项目评估决策模型。该模型使用证据推理合成规则对多专家多指标评估信息进行集结。在集结过程中:充分考虑评估指标的权重以及评估等级的多样性;鉴于参与项目评估的专家具有不同的知识背景和经验,提出利用历史评估结果的准确性衡量专家提供的评价信息可靠性的方法;应用信度分布表征项目的整体评价结果,包含了更丰富的信息。国家自然科学基金项目评估的实例分析证明了该评估决策模型的有效性。

关键词：科学基金项目立项评估选择证据推理可靠性

Using Two-layer Minimax Optimization and DEA to Determine Attribute Weights

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Journal of Management Science and Engineering 2018年第2期3卷 76-100页

作者： Yao-Yao Song Guo-Liang yang jian-bo yang Mohammad Khoveyni Dong-Ling Xu Institutes of Science and Development Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Alliance Manchester Business School the University of ManchesterManchester M139SSUK Department of Applied Mathematics Yadegar-e-Imam Khomeini(RAH)Shahre Rey BranchIslamic Azad UniversityTehran ***Iran Research Center of Modelling and Optimization in Science and Engineering South Tehran BranchIslamic Azad UniversityTehran ***Iran

This study aims to explore a novel method for determining attribute weights,which is a key issue in constructing and analyzing multiple-attribute decision-making(MADM)problems.To this end,a hybrid approach combining the data envelopment analysis(DEA)model without explicit inputs(DEA-WEI)and a two-layer minimax optimization scheme is developed.It is demonstrated that in this approach,the most favorable set of weights is first considered for each alternative or decision-making unit(DMU)and these weight sets are then aggregated to determine the best compromise weights for attributes,with the interests of all DMUs simultaneously considered in a fair manner.This approach is particularly suitable for situations where the preferences of decision-makers(DMs)are either unclear or difficult to acquire.Two case studies are conducted to illustrate the proposed approach and its use for determining weights for attributes in practice.The first case concerns the assessment of research strengths of 24 selected countries using certain measures,and the second concerns the analysis of the performance of 64 selected Chinese universities,where the preferences of DMs are either unknown or ambiguous,but the weights of the attributes should be assigned in a fair and unbiased manner.

关键词： Data envelopment analysis Weights Multiple attribute decision-making Minimax optimization