A systematic mapping study on enterprise architecture mining

Enterprise architecture allows companies to deal with digital transformation through the proactive presentation and alignment of business and IT in a holistic manner. One important challenge is EA modelling since it is time-consuming (thus expensive), error-prone, and biased owing to experts’ subjective opinions. This challenge might consequently be addressed through automatic EA modelling. We conducted a systematic mapping study to classify and evaluate the research concerning EA mining proposals developed specifically for TOGAF and Archimate. After analysing results, we concluded that the research field is not sufficiently mature and further research on EA mining is necessary.     

基于LBPH算法的人脸识别算法研究与设计

人脸识别技术是一种根据人脸的特征信息进行身份判定的技术,此技术经过几十年的发展,由弱人工智能向强人工智能转化,论文提出了一种Python语言利用LBPH算法提取人脸特征、实现人脸识别的方法。     

Property rights and groundwater management in the High Plains Aquifer

Groundwater is an important natural resource that needs to be managed dynamically. Ideally, institutions governing property rights to the groundwater of low-recharge aquifers should not discourage or disincentivize groundwater users from dynamic management. We develop an empirical model to examine whether agricultural groundwater users faced with prior appropriation property rights to groundwater in western Kansas exhibit dynamic, forward-looking behavior consistent with dynamic management. We find that although farmers are allotted a time-invariant maximum amount of groundwater that they can extract each year, they still behave in a manner consistent with dynamic management. Their groundwater extraction decisions are not significantly affected by the quantity they are authorized to extract, but are instead affected by expected future crop prices, expected future energy prices, and groundwater extraction by neighbors. Our results provide evidence that farmers manage their groundwater resource dynamically, even if their property rights do not necessarily encourage or incentivize them to do so.     

满山香提取工艺的研究

文章采用正交试验设计方法,选择药材的破碎度、乙醇倍数、乙醇浓度和渗漉速度4个因素,每个因素选3个水平对满山香渗漉提取工艺进行最佳工艺条件的研究。实验结果表明,满山香细粉的颗粒直径为1～2mm、乙醇量为药材量的6倍、乙醇浓度为60%、渗漉速度4～5ml/min为最佳提取工艺参数。该工艺方法对满山香的提取及开发应用具有一定的指导意义。     

基于物元可拓法的地下水水质评价

介绍了物元可拓法的基本原理及计算步骤。在此基础上,利用物元可拓法对建三江垦区地下水水样进行水质等级评价。从评价结果中看出,运用物元可拓法对地下水水质进行综合评价,排除了人为的干预,并利用关联度函数及权重系数等手段,使最终评价结果更加接近于实际情况,比较客观的反映了地下水水质总体状况。     

Worlding Water Supply: Thinking Beyond the Network in Jakarta

This article draws on scholarship in Southern theory to ‘world’ the study of water’s urbanization. This means complicating scholarship by widening the focus beyond the application of Northern norms to engage with complex and diverse practices in Southern cities. For water’s urbanization, this means focusing on what water supply is for the majority: neither the centralized piped‐water network nor its absence, but the range of practices and technologies that unite people, nature and artefacts in a complex socio‐ecological politics of water. Drawing on scholarship from Southern urbanisms, urban political ecology, and science and technology studies, we illustrate how expanding water’s urbanization to include more than networked infrastructure in Jakarta draws attention to the importance of ecological connections between piped water, groundwater, wastewater and floodwater. Thinking beyond the network requires deeper engagement with the ecological connections between the diverse flows of water in and around urban environments. These produce distinct forms of fragmentation that are missed when analysis is limited to piped‐water supply. The emphasis on ecological connections between flows of water and power seeks to draw attention back to the importance of the uneven exposure to environmental hazards in cities in which neither water nor nature are wholly contained by infrastructure.     

价格歧视下的不可再生资源的开采问题研究

自Hotelling开始,不可再生资源开采问题引起了经济学家们的注意,在此过程中,产业组织理论被应用于不可再生资源的研究.文章分析了价格歧视对不可再生资源开采的影响,结果发现,当资源的垄断开采者面向多个市场时,价格歧视因素可能使资源开采偏离最优路径.     

采用局部二值模式与深度信念网络的人脸识别

针对人脸维度过高和人脸局部特征提取易忽略的问题,提出了一种将多尺度局部二值模式（LBP）算法与深度信念网络(DBN)算法相结合的人脸识别方法。首先采用多尺度LBP算法提取人脸纹理特征,进而将LBP提取的纹理特征作为深度信念网络的输入,最后通过逐层网络训练,得到网络的最优参数,并在ORL人脸库中进行测试,识别率可达95.2%,比使用Gabor小波和主成分分析（PCA）算法的人脸识别高2.6%,说明该算法具有很好的人脸识别能力。     

乙醇浸提法提取红薯茎叶总黄酮的研究

采用乙醇浸提法提取红薯茎叶中的黄酮,在前期单因素研究基础上,进行正交设计试验,得出乙醇浸提法提取红薯茎叶中黄酮的最佳工艺条件:乙醇浓度80%、提取时间3 h、提取温度70℃、料液比1∶40,在该条件下黄酮的提取率为0.831 6%。     

QuEChERS—气相色谱法鱼肉中多氯联苯残留分析方法的研究

为建立QuEChERS—气相色谱鱼肉中多氯联苯残留的分析方法,取样品以1%冰乙酸的15 m L乙腈提取,采用分散型固相萃取,萃取净样品后,提取液氮吹浓缩后用正己烷定容,过滤膜,上GC-ECD检测。结果显示:样品加标回收率在76.4%~104.4%,相对标准偏差RSD在1.2%~3.6%,当取样量为3 g时,检出限在0.2~0.5μg/kg。