Rice Distribution(大米配送)研究综述
Rice Distribution 大米配送 - The proposed approach provides optimal passive balancing services in expectation over a worst-case imbalance price distribution, ensuring performance guarantees even if the probability distribution is not perfectly known. [1] A method is developed to determine the portfolio that maximizes the expected utility of an agent that trades the difference between a perceived future price distribution of an asset and the associated market implied risk neutral density. [2] This paper formulates rice mapping as a semantic segmentation problem and proposes to use deep learning techniques to exploit the phenological similarity of rice production to identify the rice distribution in large-scales. [3] There is a growing need to map rice ecosystems and to develop methods for monitoring rice distribution in order to account for rapid land use changes worldwide. [4] In addition, the fading distribution of measured data amplitude is compared with five typical theoretical fading distributions, and it is found that its characteristic is closer to the Rice distribution with the minimum goodness of fit value, and the Rice K-factor in the tunnel is smaller than that outside the tunnel. [5] LogNormal, Gama, Weibull, Gumbel type II, Benini and Rice distributions were evaluated, with the best performing Rice, Log-Normal and Gumbel II distributions being highlighted. [6] Two-sided filtration with FBSDE defined stochastic dynamics was formulated for acceptable asset price under the risk-neutral probability measure, at that the target price distribution is characterized by the averaged over active market agent subset parameters. [7] In the unique steady state equilibrium, non-degenerate investment distribution and price distribution emerge simultaneously with ex-ante identical agents. [8] Rice distribution for economically disadvantaged group of people is one of the main operational activities of Bulog Company to advance Indonesian society welfare. [9] This study uses sales data from a market research company to investigate tax pass-through over 11 years for on-premise retailers in England and whether this varies across the price distribution, for different beverage categories and outlet types. [10] Testing across the price distribution, we explore the cap’s impact on the share of the market experiencing: 1) a price decline; 2) unchanged rents (nominal rigidity); 3) a positive growth rate below the cap; 4) the maximum allowable growth (4%); and 5) growth above the cap. [11] Our policy incorporates the price-skimming technique from Eren and Maglaras (2010), but importantly we show how the randomized price distribution should be stochastically-increased as the remaining inventory dwindles. [12] However, quantitative studies on the effect of climate change on paddy rice distribution shifts have not been well performed. [13] Based on the conservation equation of offered units, it can be shown that the stationary price distribution of consumer products consists of a Dirac-delta peak at pm surrounded by a fat-tailed Laplace distribution from the excess units. [14] The study is aimed to (i) delineate the rice distribution status; (ii) simulate the rice yield by using the AQUACROP model; (iii) integrate maps and rice yield to delineate the rice production extent in Soc Trang province. [15] Indonesia has different rice distribution patterns with continental countries such as China and India as archipelagic countries. [16] In this paper, we approximate the Loo distribution using three basic distributions, namely the Nakagami-Rice distribution (or Rician distribution), Nakagami-m distribution, and lognormal distribution. [17] Our work first establishes a stylized model by assuming the knowledge on the structure of dynamic price distributions and designs the optimal storage control policy. [18] Agent-based Model (ABM) based simulation method for Rastra rice distribution using the Multi-Agent Simulation (MASIM) stage, namely, the requirements stage, the modeling stage, the design, and architectural stage, the implementation stage, the verification stage, validation, and accreditation. [19] The present study has tried to address the impact of subsidised rice distribution through the public distribution system on dietary diversity and nutrition intake in the state of Tamil Nadu in India as the state is considered a pioneer in introducing a number of food security programmes in India. [20] Mathematically, the transportation model is one solution that can be used to solve this rice distribution problem. [21] The main objective is to properly characterise the influence of the Transmitter-Receiver configuration on system loss and fast fading behaviour, the latter being modelled by the Rice Distribution. [22] However, relative to non-subcontracting carriers, those which subcontract operations to regional carriers reduce their prices further by more than 10%, including average prices (linear or log) and various other points on the price distribution. [23] This study estimates breakeven price distributions for irrigated and non-irrigated corn, cotton, and soybean production in Tennessee under conventional tillage and no-till for three field sizes and two sources of energy for irrigation. [24] Our comparative static results show that competition among symmetrically capacity-constrained firms leads to a price decrease in the lower tail of the price distribution and a price increase in the upper tail. [25] Higher art returns are reached for paintings at high-end of the price distribution, for oil paintings, for more recent art movements, for transactions by reputable auction houses. [26] The spillover effect on price distribution seems to be consistent and stable in gentrified areas. [27] This paper uses quantile regression to demonstrate how electricity price distributions are linked to fundamental supply and demand variables. [28] In this paper, we firstly analyze the actual price distribution on a 90 days Amazon spot price history data downloaded from the Amazon Cloud platform, by using the parameter k-AMSE to represent the price fluctuation of a spot instance which can reflect recent data fluctuations better than MSE(mean square error). [29] Looking across the price distribution, our results indicate that the strongest permanent responses occur in price ranges where tax rates fell due to the reform. [30] In the other case, we must increase the amount of land production, the efficiency of the rice marketing system, so rice distribution from the production center to the consumer center with low cost of the market. [31] In this manuscript we devise a model-free empirical risk-neutral distribution based on Polynomial Chaos Expansions coupled with stochastic bridge interpolators that includes information from the entire set of observable European call option prices under all available strikes and maturities for a given underlying asset in a way that is guaranteed by construction to produce a valid state price distribution function at all times. [32] The empirical price distribution is close to the NE distribution for the stable parameter set, but for the unstable parameter set it skews toward higher prices in its NE support interval. [33] Consumers' prior beliefs regularly deviate from the true price distribution but are updated quickly following each new price observation. [34] There is a difference between what consumers perceive as fair price distribution and actual price distribution among processed tomato chain actors. [35] The findings highlight how price indices based on movements in central measures of the price distribution can offer a poor guide to housing affordability trends at different points in a city’s neighbourhood price distribution. [36] This paper introduces a q traceability system rice distribution process based on Android with QR Code technology. [37] Our empirical results suggest that airfares throughout the price distribution increases, yet the price distribution becomes more compressed since 10th percentile airfares increase by a larger amount than 90th percentile airfares. [38] The results showed that the post-harvest rice distribution system in Subak Pulagan consisted of three distribution channels. [39] Via Monte Carlo analysis using global price distributions, we find that even without including a price on CO2 the process operates, on average, at a profit of 196 USD/t-CO2 (total reduction). [40] We uncover the marginal impacts of energy prices on carbon price variations across carbon-energy price distributions in Phase III of the European Union Emission Trading Scheme (EU ETS). [41] This study aims to analyze the vulnerability of rice distribution in West Java using Intelligent Analysis. [42] A Norton-Rice distribution (NRD) is a versatile, flexible distribution for k ordered distances from a random location to the k nearest objects. [43] The impact of Covid-19 mainly affects the level of intermediary institutions in the rice distribution process. [44] The purpose of this study is to determine the value of truck exhaust emissions produced and to know what strategies should be taken to reduce exhaust emissions based on the selection of distribution routes for rice distribution in Bandung City. [45] The private sector should play a greater role in domestic rice markets and Bulog should only participate in rice distribution during emergency situations. [46] For this purpose, we compare a simulated versus a historical electricity price distribution. [47] We find that contractionary monetary policy is destabilizing for food prices, particularly at the 20th, 25th, 30th, 35th, 40th, and the 45th quantiles of food price distribution. [48]所提出的方法在最坏情况下的不平衡价格分布的预期中提供最佳的被动平衡服务，即使概率分布不完全已知，也能确保性能保证。 [1] 开发了一种方法来确定最大化代理人的预期效用的投资组合，该代理人交易资产的感知未来价格分布与相关市场隐含风险中性密度之间的差异。 [2] 本文将水稻映射问题表述为一个语义分割问题，并提出使用深度学习技术利用水稻生产的物候相似性来识别大尺度的水稻分布。 [3] 越来越需要绘制水稻生态系统图并开发监测水稻分布的方法，以应对全球土地利用的快速变化。 [4] 此外，将实测数据幅度的衰落分布与5种典型的理论衰落分布进行比较，发现其特征更接近于拟合优度最小的Rice分布，隧道内Rice K因子为比隧道外的要小。 [5] 对 LogNormal、Gama、Weibull、Gumbel type II、Benini 和 Rice 分布进行了评估，突出显示了表现最好的 Rice、Log-Normal 和 Gumbel II 分布。 [6] 在风险中性概率测度下，采用 FBSDE 定义的随机动态进行双边过滤，以获得可接受的资产价格，此时目标价格分布的特征是活跃市场代理子集参数的平均值。 [7] 在唯一的稳态均衡中，非退化的投资分布和价格分布与事前相同的代理人同时出现。 [8] 为经济弱势群体分发大米是 Bulog 公司促进印尼社会福利的主要经营活动之一。 [9] 本研究使用一家市场研究公司的销售数据来调查英格兰本地零售商 11 年来的税收转嫁，以及这是否因价格分布、不同饮料类别和出口类型而异。 [10] 在整个价格分布中进行测试，我们探讨了上限对市场份额的影响：1）价格下跌； 2) 租金不变（名义刚性）； 3) 低于上限的正增长率； 4）最大允许增长（4%）； 5) 增长超过上限。 [11] 我们的政策采用了 Eren 和 Maglaras (2010) 的撇脂技术，但重要的是，我们展示了随机价格分布应如何随着剩余库存的减少而随机增加。 [12] 然而，关于气候变化对水稻分布变化影响的定量研究尚未得到很好的开展。 [13] 基于供给单位的守恒方程，可以证明消费品的平稳价格分布由下午的狄拉克三角洲峰组成，周围是来自过剩单位的肥尾拉普拉斯分布。 [14] 该研究旨在 (i) 描绘大米分布状况； (ii) 使用 AQUACROP 模型模拟水稻产量； (iii) 整合地图和水稻产量以描绘朔庄省的水稻生产范围。 [15] 印度尼西亚与中国、印度等大陆国家为群岛国家，稻米分布格局不同。 [16] 在本文中，我们使用三种基本分布来近似 Loo 分布，即 Nakagami-Rice 分布（或 Rician 分布）、Nakagami-m 分布和对数正态分布。 [17] 我们的工作首先通过假设动态价格分布结构的知识来建立一个程式化的模型，并设计最优的存储控制策略。 [18] 基于Agent-based Model (ABM)的Rastra水稻分布仿真方法使用多Agent Simulation (MASIM)阶段，即需求阶段、建模阶段、设计和架构阶段、实施阶段、验证阶段、验证和认可。 [19] 本研究试图通过公共分配系统解决补贴大米分配对印度泰米尔纳德邦饮食多样性和营养摄入的影响，因为该州被认为是在印度引入许多粮食安全计划的先驱。 [20] 从数学上讲，运输模型是可以用来解决这一大米分配问题的一种解决方案。 [21] 主要目标是正确描述发射器-接收器配置对系统损耗和快速衰落行为的影响，后者由水稻分布建模。 [22] 但是，相对于非分包承运人，将业务分包给区域承运人的承运人将其价格进一步降低了 10% 以上，包括平均价格（线性或对数）以及价格分布的其他各个点。 [23] 本研究估计了田纳西州灌溉和非灌溉玉米、棉花和大豆生产在常规耕作和免耕条件下三种农田大小和两种灌溉能源的盈亏平衡价格分布。 [24] 我们的比较静态结果表明，对称的产能受限企业之间的竞争导致价格分布的下尾价格下降和上尾价格上涨。 [25] 价格分布高端的画作、油画、最近的艺术运动以及知名拍卖行的交易，都可以获得更高的艺术回报。 [26] 在高档化地区，对价格分布的溢出效应似乎是一致和稳定的。 [27] 本文使用分位数回归来说明电价分布如何与基本供需变量相关联。 [28] 本文首先分析了从亚马逊云平台下载的90天亚马逊现货价格历史数据的实际价格分布，使用参数k-AMSE表示现货实例的价格波动，可以更好地反映近期数据的波动比 MSE（均方误差）。 [29] 纵观价格分布，我们的结果表明，最强烈的永久性反应发生在税率因改革而下降的价格范围内。 [30] 另一方面，我们必须增加土地生产量，提高稻米营销系统的效率，使稻米从生产中心到消费中心，市场成本低。 [31] 在这份手稿中，我们设计了一个基于多项式混沌扩展和随机桥插值器的无模型经验风险中性分布，其中包括来自给定标的资产在所有可用行权价和到期日下的整套可观察欧式看涨期权价格的信息。通过构造保证始终产生有效的状态价格分布函数的方式。 [32] 对于稳定参数集，经验价格分布接近 NE 分布，但对于不稳定参数集，它在其 NE 支持区间内倾向于更高的价格。 [33] 消费者的先验信念经常偏离真实的价格分布，但会在每次新的价格观察后迅速更新。 [34] 消费者认为的公平价格分配与加工番茄连锁参与者之间的实际价格分配之间存在差异。 [35] 研究结果强调了基于价格分布中心指标变动的价格指数如何为城市社区价格分布中不同点的住房负担能力趋势提供不良指导。 [36] 本文介绍了一种基于Android的q追溯系统大米配送流程，采用二维码技术。 [37] 我们的实证结果表明，整个价格分布中的机票价格都在上涨，但价格分布变得更加压缩，因为第 10 个百分点的机票价格比第 90 个百分点的机票价格上涨幅度更大。 [38] 结果表明，苏巴克普拉甘的水稻收获后配送系统由三个配送渠道组成。 [39] 通过使用全球价格分布的蒙特卡罗分析，我们发现即使不包括二氧化碳价格，该过程的平均利润为 196 美元/吨二氧化碳（总减少量）。 [40] 我们揭示了能源价格对欧盟排放交易计划 (EU ETS) 第三阶段碳能源价格分布中碳价格变化的边际影响。 [41] 本研究旨在使用智能分析分析西爪哇大米分布的脆弱性。 [42] Norton-Rice 分布 (NRD) 是一种通用、灵活的分布，适用于从随机位置到 k 个最近对象的 k 个有序距离。 [43] Covid-19的影响主要影响大米流通过程中的中介机构水平。 [44] 本研究的目的是确定产生的卡车尾气排放的价值，并根据万隆市大米配送路线的选择，了解应采取哪些策略来减少尾气排放。 [45] 私营部门应在国内大米市场中发挥更大作用，Bulog 应仅在紧急情况下参与大米分销。 [46] 为此，我们比较了模拟和历史电价分布。 [47] 我们发现紧缩性货币政策正在破坏食品价格的稳定，尤其是在食品价格分布的第 20、25、30、35、40 和 45 分位数。 [48]
rice distribution proces
This paper introduces a q traceability system rice distribution process based on Android with QR Code technology. [1] The impact of Covid-19 mainly affects the level of intermediary institutions in the rice distribution process. [2]本文介绍了一种基于Android的q追溯系统大米配送流程，采用二维码技术。 [1] Covid-19的影响主要影响大米流通过程中的中介机构水平。 [2]