计及机组碳排放特性的抽蓄辅助燃煤机组深度调峰的低碳经济调度

在含高比例风电的电力系统中,由于灵活性电源占比小,燃煤机组需要频繁地深度调峰,将会导致系统低碳经济运行水平降低。据此,分析不同负荷率下锅炉、汽轮机等辅机系统以及脱硫脱硝工艺对燃煤机组碳排放的影响,研究其各调峰阶段的碳排放特性,以此建立考虑深度调峰的燃煤机组全过程碳排放强度计算模型;针对抽蓄机组利用率低的现状,提出一种基于低碳调用系数的抽蓄辅助燃煤机组深度调峰的低碳经济调度策略;进而建立以系统总运行成本最小为目标的低碳经济调度模型。最后,基于改进的IEEE 39节点算例进行仿真分析,验证了所提模型的可行性,且结果表明所提策略能有效提高抽蓄的利用率、降低燃煤机组的深度调峰能耗与碳排放,实现系统的低碳经济运行。

创业板高科技公司估值与定价

鉴于创业板高科技公司的高成长性,引入人力资本系数概念可以求出机构投资者对高科技公司股票的预估价格。在引入回拨机制下,通过研究利益相关方利益最大化时的期望,从而推导出利益均衡时高科技公司股票IPO(首次公开发行)的一个价格模型。研究表明:IPO定价不仅与IPO公司资产价值相关,而且与发行费用等参数有关;IPO价格和抑价程度均是机构投资者内部估值的增函数。

基于函数调用路径的测试用例优先级排序

基于覆盖的优先级排序技术通常以代码覆盖信息作为测试用例的特征加以度量,忽略了其他优先级的影响因素,缺乏全面性和动态性。针对该问题,提出基于函数调用路径的测试用例优先级排序方法。以函数调用路径为基础,通过对源代码新旧版本的对比,分析回归测试影响域,确定回归测试用例集的范围。将测试用例函数调用路径覆盖能力、单元测试时函数中检测出缺陷的个数,以及函数的扇入系数等影响因素应用于优先级排序,确定测试用例优先级量化方法,并在测试执行过程中,通过调整算法实现优先级的动态调整,优化优先级排序。实验结果表明,优先级量化方法能提高测试的缺陷检测率,发现程序中的缺陷,降低测试成本。

基于MFCC和双重GMM的鸟类识别方法

针对鸟类鸣声信号变化丰富和复杂的特点,提出一种基于MFCC和鸣叫、鸣唱声GMM模型的鸟类识别方法。该方法拟采用将鸟鸣声分为鸟叫声和鸟唱声的策略,分别提取其特征参数MFCC,提出双重GMM模型进行训练和识别。用8种鸟的鸣叫声和鸣唱声1077个样本进行实验,实验结果表明,双重GMM模型的识别率达到90%以上,与单一鸣声模型相比具有更高的识别率。

WLAN中基于带宽降级策略的联合呼叫接纳控制算法

由于无线局域网(wireless local area network,WLAN)接入用户日渐增多、无线带宽资源日益稀缺,IEEE 802.11介质访问控制(media access control,MAC)层协议已经无法保证无线局域网中接入用户的服务质量(quality of service,QoS)。为了能在网络过载或者负载较重的情况下保证用户的QoS性能,呼叫接纳控制(call admission control,CAC)的引入是非常必要的。文章提出了一种联合权重系数和带宽降级策略的CAC算法。通过对策略前后不同类型业务性能仿真,验证了该算法对提高QoS性能的有效性。

标的资产受多因素影响的买入期权的定价公式

现实生活中,期权的标的资产常与某些因素存在一定的联系,而这些因素势必影响到期权的定价.例如,各种信用风险证券的定价就属于这类问题.因此,在处理期权的定价问题时就必须将这些因素考虑进去.本文利用风险中性定价方法(即鞅文法),比较系数法以及线性代数中的某些相关性质,讨论并推导出标的资产受多因素影响的买入期权的定价公式.

固定长话收入再分配的探讨

简述了本地电话、长途传输和长途交换专业所包括的范围和完成固定长途电话通信的过程；试用完全成本法对固定长话收入在相关各专业间进行再分配，并得到各专业的固定长话收入再分配系数。

Measurement on the Construction Level of China's Green, Low-Carbon, and Circular-Development Economic System

This study aims to measure how well China's green,low-carbon,and circulardevelopment economic system(theGLCCD Economic System)is being developed.By establishing the indicator system and indicators,the spatiotemporal range entropy weight method,Gini coefficient,Theil index,convergence model,and national and provincial data from 2012 to 2017 are employed.The construction level of almost all GLCCD Economic Systems at national and provincial levels has shown improvement during the study period.Among them,a significant boost is only observed in the development power indicator;improvement in the production system indicator and development benefit indicatorismild,andthelifesystemindicator sees a decline year by year.The construction level of the GLCCD Economic System throughout China is generally balanced but tends to expand in scale.However,the inter-regional developmenttbenefit indicator showsaconvergence trend.Based on the analysis of the similarities and differences between greenandlow-carboncircular development,the development power and development benefit,production system,and life system are incorporated into a unified logical framework.The construction level of the GLCCD Economic System is measured as a whole in a holistic manner.This study finds out the scientific connotation oftheGLCCD Economic System.The changing trends and regional differences in the construction level of the GLCCD Economic System are revealed.These findings provide a clear and reliable decision-making basis for the construction of the GLCCD Economic System.

基于特征融合与注意力机制的鸟类声纹识别方法

鸟类声纹识别技术是一种将经过预处理的多种鸟类声音作为输入,通过网络模型识别出相应鸟类的技术。针对真实环境下鸟类声纹识别中单一音频特征局限和模型学习特征能力不佳问题,文章提出了一种基于特征融合和注意力机制的鸟类声纹识别方法。首先,在特征提取时分别获取梅尔频率倒谱系数和功率正则化倒谱系数,其次利用均值和方差归一化处理将两种特征融合得到新型融合特征参数MPFC;然后,以ResNet-50为主干网络在其残差模块中引入轻量化坐标注意力机制得到改进网络模型—坐标注意力残差网络;最后,将融合特征分别输入到坐标注意力残差网络(residual coordinate attention net, ResCA),ResNet-50、ResNeSt-50、DenseNet-121和EfficientNet-B0并在两个数据集Birdsdata和BirdCLEF上进行对比实验。实验结果表明,融合特征比单一特征有更好的表征能力,能够提高一定识别率,改进网络也具有较好的识别效果。

Carbon Emission Risk and Governance

Within the hazard and disaster risk research field, explicitly treating carbon emissions as a hazard remains rather nascent. Applying hazard and disaster risk research perspectives to seek new insights on integrated mitigation and adaptation approaches and policy measures is equally elusive. Since China’s pledge to achieve carbon neutrality by 2060, the ‘‘dual carbon” goals of carbon emission peaking and neutrality have stimulated nationwide attention, research, and policies and action plans.How to ensure that the transition pathways are on track and well-contextualized is one of the crucial challenges for policymakers and practitioners. This article examines the‘‘risks” of missing the carbon neutrality goal at a regional scale in China, denoted as Carbon Emission Risk(CER).Carbon emissions(CE) as hazard, combined with the human socioeconomic system as exposure and human living environment, constitute the regional carbon emission environmental risk system. The ‘‘risks” of missing(or achieving) the carbon neutrality target for any region at any time, the article argues, is essentially determined by the ratio of CE to carbon absorption(CA, for uptake and removal). These variables are modified by a broadly defined ‘‘vulnerability coefficient”(Cv) that embodies both the potential for changes(decreasing CE and increasing CA), and the uncertainties of measuring CE and CA. Thus,the ratio of CE to CA is a measure of reality at any moment of time, whereas Cv indicates the overall propensity or capacity for moving the CE/CA ratio towards 1, that is,realizing carbon neutrality. Based on our calculation, CER at the provincial level in eastern China is higher than in western China. The article also calls for strengthening CER research and summarizes key measures for carbon emission risk governance.