XiaoMi-AI文件搜索系统
World File Search System表表
弗拉格斯塔夫山线经济贡献分析
表1。通过Source FY2022表2的运营收入。植入商品代码的运营支出表3。山行线行动支出的经济贡献表4。资本支出的收入来源2022表5。资本支出2018-FY2022表6。植入部门分配资本支出（FY2022）表7。植入部门分配资本支出（FY2021）表8。植入部门分配资本支出（FY2020）表9。植入部门分配资本支出（2019财年）表10。植入部门分配资本支出（2018财年）表11。Mountain Line的资本支出的贡献（FY2018-FY2022）表12。Mountain Line的资本支出的贡献（FY2018-FY2022），简化表表13。山行线的总经济贡献（FY2022）表14。山行线的总经济贡献（20022财年运营贡献 +五年平均资本贡献）表15。在2022财年的产出表16。首15个支持行业 总税收捐款2022表17。 由于避免旅行而节省的钱总税收捐款2022表17。由于避免旅行而节省的钱
从地面到对象：与地面接触的动态物体的粗到细节自我监督的单眼估计
自我监督的单眼深度估计（DE）是一种学习深度的方法，没有昂贵的深度地面真理。但是，它经常在移动物体上挣扎，这些物体违反了训练期间的静态场景假设。为了结束这个问题，我们介绍了一个粗到最新的训练策略，该策略利用了地面与先验接触的地面，该期望是在户外场景中大多数移动物体在地面上造成的。在粗糙的训练阶段，我们将动态类中的对象排除在再投入损失计算中，以避免深度学习不准确。为了对物体的深度进行精确的监督，我们提出了一种新颖的接地式差异平滑度损失（GDS-loss），该损失（GDS-loss）鼓励DE网络将物体的深度与其接地接触点保持一致。随后，在精细的训练阶段，我们完善了DE网络，以了解重新投影损失中对象的详细深度，同时通过使用基于成本量的加权因素利用我们的正则化损失来确保对移动对象区域的准确DE。我们的整体粗表表训练策略可以轻松地与无需修改的方法集成，从而显着提高了挑战性的城市景观和KITTI数据集的DE性能，尤其是在移动对象区域中。
发电的能源
电气化系统（分散方法）或网格扩展方法（Adamu A. Baba等，2020； Mosberg，2013； Yadoo＆Cruickshank，2012）。发电厂或电力行业面临着获取电力供应并减轻温室气体的排放和暴露（气候变化）的繁荣未来。然而，据报道，大约85％的人口留在农村定居点，电力供应不足，到2030年，他们预计将从27亿增加到28亿，依赖于传统的提供照明的方式等。（Neha＆Rambeer Joon，2023年）。将电力扩展到消费者的任何应用都是至关重要的，但是对于农村居民来说，电力在很大程度上面临着许多障碍，其中障碍是低能源需求，不良地形，高投资成本，运营成本和维护成本（Aliyu Adamu Adamu Adamu Baba等人，2020年； Rahman等，2020; Rahman et al。，2013年）。下表（表1）显示了2011年美国能源信息部，来源和部门的一级能源消耗（Javid Mohtasham，2015; U.S. Energy Information Administrcy。，2011年）的统计数据。表表表1111。社会不同部门的能源。社会不同部门的能源。社会不同部门的能源。美国美国社会不同部门的能源来源（美国）（美国）（美国）（美国）S/NO。s/no。s/no。s/no。Sources of Energy Sources of Energy Sources of Energy Sources of Energy Percentage Percentage Percentage Percentage use use use use ((((%) %) %) %) Consumption by Consumption by Consumption by Consumption by sectors sectors sectors sectors Percentage Percentage Percentage Percentage use ( use ( use ( use (%) %) %) %) 1 Petroleum 36 Commercial 40 2 Natural gas 26 Transportation 28 3 Coal 20 Industrial 21 4 Renewable Energy 09住宅11 5核电力08
使用粪便DNA metabarcoding
表和图表的列表表1：本研究中使用的麻雀粪便样品数量。原始计数是从每个站点收集的粪便样本数量。每个麻雀物种的数量是通过现场通过质量控制的样品数量。过滤计数是完整数据集中每个站点的粪便样本的最终数。图1：通过读取深度在每个麻雀粪便样品中观察到的ASV的丰富度的稀疏曲线。图2：观察到的ASV丰富度的稀疏曲线，用于总读数少于2,000的粪便样品。图3：用于比较羊膜麻雀的同胞和同种异体饮食的地点。同种异体位点被鉴定为一个主要物种，而两种物种相似的位点被分类为这些物种的同胞。仅显示收集弹药样品的位置。图4：发生的频率或存在猎物分类子的粪便样品百分比，在六种麻雀种类的班级水平上。图5：六种潮汐沼泽麻雀物种饮食中猎物类别的发生百分比。发生的百分比表示每个物种的每个猎物分类群中所有发生的粪便样品中所有发生的百分比。麻雀物种按降低盐沼泽的顺序排列：海边麻雀（SESP），盐玛斯麻雀（萨尔斯），尼尔森的麻雀（NESP），沼泽麻雀（SWSP），Song Sparrow（SOSP）和Savannah Sparrow（Savannah Sparrow（Savs）。仅显示了12个最常见的订单。图6：猎物分类群的平均相对阅读丰度（RRA）在班级六种潮汐沼泽麻雀的饮食中。rra表示每个粪便样品中猎物分类读的百分比，在每个物种的所有样品中平均。麻雀物种按降低盐沼泽的顺序排列：海边麻雀（SESP），盐玛斯麻雀（萨尔斯），尼尔森的麻雀（NESP），沼泽麻雀（SWSP），Song Sparrow（SOSP）和Savannah Sparrow（Savannah Sparrow（Savs）。图7：出现的频率，或存在猎物分类子的粪便样品百分比，在所有六种麻雀种类的订单水平上。
安装太阳能电池板和储能的案例研究...
表列表表3。1个城市信息，包括其整体和建筑物的二氧化碳排放，研究中包括的主要和次要结果以及气候缓解计划。.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................2 Building's Energy Efficiency ....................................................................................... 39 Table 3.3电气和地区能源........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 44表3。4财务机制............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 49表3。5 Education and Capacity Building ................................................................................ 52 Table 3.6 Collaboration ............................................................................................................... 55 Table 4.1加拿大太阳能和Trina PV面板效率和价格..................................................................................................................................................................................................................................................................................................................................................... 67表4。 2 PV项目分解结构[253] ..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 67表4。 3渥太华可再生能源合作社（OREC）采用的PV项目成本[254] 4 Facility and climate data location ................................................................................ 73 Table 4. 5 PV系统评估和输入............................................................................................................................................................................................................................................................................... 75表4。1加拿大太阳能和Trina PV面板效率和价格..................................................................................................................................................................................................................................................................................................................................................... 67表4。2 PV项目分解结构[253] ..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 67表4。3渥太华可再生能源合作社（OREC）采用的PV项目成本[254]4 Facility and climate data location ................................................................................ 73 Table 4.5 PV系统评估和输入............................................................................................................................................................................................................................................................................... 75表4。6从RetScreen数据库采用的光伏项目的安装费用[189] ......... 76表4。7 Financial parameters .................................................................................................... 77 Table 4.8 GHG emissions data .................................................................................................... 80 Table 4.9 Uottawa PV系统的预期材料（2019年）[273]采用并调整了。 ................................................................................................................................. 84 Table 4. 10材料将材料运送到现场的运输假设........................................................................................................................................................................................................................................................................................................................................................................................................................................................... 85表4。 11 uOttawa students' distribution .................................................................................... 87 Table 4. 12 ARC building monthly electricity load and peak demand (averaged from 2017 and 2018 hourly electricity demand) ................................................................................................... 89 Table 4. 13 Desired bank power and capacity and battery properties to simulate peak demand mitigation scenarios ...................................................................................................................... 91 Table 4. 14电池电压属性和电化学模型数据............................................................................................................................................................................................................................................................................................................................................................................................................................................................. 15热属性................................................................................................................................................................................................................................................... 95表4。 3总建筑物每月预期的电力发电和消费...............................................................................................................................................................................................................................9 Uottawa PV系统的预期材料（2019年）[273]采用并调整了。................................................................................................................................. 84 Table 4.10材料将材料运送到现场的运输假设........................................................................................................................................................................................................................................................................................................................................................................................................................................................... 85表4。11 uOttawa students' distribution .................................................................................... 87 Table 4.12 ARC building monthly electricity load and peak demand (averaged from 2017 and 2018 hourly electricity demand) ................................................................................................... 89 Table 4.13 Desired bank power and capacity and battery properties to simulate peak demand mitigation scenarios ...................................................................................................................... 91 Table 4.14电池电压属性和电化学模型数据............................................................................................................................................................................................................................................................................................................................................................................................................................................................. 15热属性................................................................................................................................................................................................................................................... 95表4。 3总建筑物每月预期的电力发电和消费...............................................................................................................................................................................................................................14电池电压属性和电化学模型数据.............................................................................................................................................................................................................................................................................................................................................................................................................................................................15热属性................................................................................................................................................................................................................................................... 95表4。3总建筑物每月预期的电力发电和消费...............................................................................................................................................................................................................................每个峰缓解场景的物理特性............................................................................................................................................................................................................................................. 95表4。17 Charge Limits and Priority ........................................................................................ 96 Table 4.18 Average 2017 and 2018 Global Adjustment cost for ARC building based on the building electricity load obtained from the campus sustainability office and Ontario load from the IESO Data Directory [210] ..................................................................................................... 98 Table 4.基于IESO数据目录的19 HOEP率[210] ............................................................................................................................................................................................................................. 99表5。1渥太华大学31栋建筑物的光伏分析.......................................................................................................................................................................................................................................................................................................................................2基于电力消耗，除了发电外，九座建筑物的预期电需求抵消了...................................................................................................................4建筑物PV系统初始成本和操作和维护（O＆M）成本....... 108表5。5 Financial viability results ........................................................................................... 109 Table 5.6 Cash Flow Table ........................................................................................................ 110 Table 5.7 Comparison of different PV system technology combinations ................................. 113 Table 5.8 Annual CO2 savings from the PV electricity generation and equivalent savings from various alternatives ..................................................................................................................... 114