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1. 发明申请

US20120290500A1 CONFIGURATION PRICING STRATEGIES FOR MULTI-COMMODITY REQUEST-FOR-QUOTES 失效
标题翻译：多个商品要求的配置定价策略
公开(公告)号：US20120290500A1
公开(公告)日：2012-11-15
申请号：US13106474
申请日：2011-05-12
申请人： Markus Ettl , Karthik Sourirajan , Zhengliang Xue
发明人： Markus Ettl , Karthik Sourirajan , Zhengliang Xue
IPC分类号： G06Q40/00
CPC分类号： G06Q30/0283
摘要： Win probability estimation model that statistically computes the probability of winning a bid at a given price, and profit optimization models that compute the optimal price for a bid balancing the probability of winning a bid at a price with the profitability of the bid at the given price. In one stage, an expected profit margin of a product may be formulated as a function of its profit margin and win probability to compute its optimal profit margin. In another stage, an expected profit for one or more product accessories may be formulated as a function of the profit margin and their conditional win probability given the server win to compute their optimal profit margins. The conditional win probabilities for the product accessories may be modeled as a function of the utilities of the various purchase options that contain the product and that accessory.
摘要翻译：赢取概率估计模型，统计计算以给定价格赢得出价的概率;以及计算出价最优价格的利润优化模型，平衡以一定价格获胜出价的概率与投标的收益在给定价格。在一个阶段，产品的预期利润率可以被制定为其利润率的函数，并获得计算其最佳利润率的概率。在另一个阶段，一个或多个产品配件的预期利润可以根据服务器赢得计算其最佳利润率而被制定为利润率和有条件获胜概率的函数。产品配件的条件获胜概率可以被模拟为包含产品和该附件的各种购买选项的功能的函数。

2. 发明授权

US08364553B2 Managing fresh-product inventory 失效
公开(公告)号：US08364553B2
公开(公告)日：2013-01-29
申请号：US13093359
申请日：2011-04-25
申请人： Daniel P. Connors , Markus Ettl , David D. Yao , Zhengliang Xue
发明人： Daniel P. Connors , Markus Ettl , David D. Yao , Zhengliang Xue
IPC分类号： G06Q30/00
CPC分类号： G06Q10/06315 , G06Q10/087
摘要： Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.

3. 发明授权

US10789967B2 Noise detection and noise reduction 有权
公开(公告)号：US10789967B2
公开(公告)日：2020-09-29
申请号：US16097540
申请日：2016-05-09
申请人： HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED , Dong Yang , Zhengliang Xue , Lan Mao
发明人： Dong Yang , Zhengliang Xue , Lan Mao
IPC分类号： G10L21/0232 , H04R1/10 , H04R3/00 , G10L25/51 , G10L25/45 , G10L25/06
摘要： A noise detection method and a noise detection system are provided. The noise detection method includes: obtaining an audio signal; comparing the audio signal with a wave of a noise model to obtain a correlation value; and identifying whether the audio signal is a candidate noise signal based on the correlation value. The method can detect plugging noises effectively.

4. 发明授权

US08843404B2 Joint pricing and replenishment of freshness inventory 有权
标题翻译：联合定价和补充新鲜度库存
公开(公告)号：US08843404B2
公开(公告)日：2014-09-23
申请号：US13439462
申请日：2012-04-04
申请人： Daniel P. Connors , Markus R. Ettl , David D. Yao , Zhengliang Xue
发明人： Daniel P. Connors , Markus R. Ettl , David D. Yao , Zhengliang Xue
IPC分类号： G06Q10/00
CPC分类号： G06Q10/087
摘要： Joint pricing and replenishment of freshness inventory or products having different qualities determines the joint pricing and inventory strategies to optimize the retailer's benefits from product freshness, employing a dynamic programming formulation that incorporates a demand model that captures consumer choice based on both the freshness and price.
摘要翻译：联合定价和补充新鲜度库存或具有不同品质的产品决定了联合定价和库存策略，以优化零售商从产品新鲜度的优势，采用动态规划方案，其中包含基于新鲜度和价格捕捉消费者选择的需求模型。

5. 发明申请

US20130268415A1 JOINT PRICING AND REPLENISHMENT OF FRESHNESS INVENTORY 有权
标题翻译：新闻库存联合定价与补偿
公开(公告)号：US20130268415A1
公开(公告)日：2013-10-10
申请号：US13439462
申请日：2012-04-04
申请人： Daniel P. Connors , Markus R. Ettl , David D. Yao , Zhengliang Xue
发明人： Daniel P. Connors , Markus R. Ettl , David D. Yao , Zhengliang Xue
IPC分类号： G06Q10/08
CPC分类号： G06Q10/087
摘要： Joint pricing and replenishment of freshness inventory or products having different qualities determines the joint pricing and inventory strategies to optimize the retailer's benefits from product freshness, employing a dynamic programming formulation that incorporates a demand model that captures consumer choice based on both the freshness and price.
摘要翻译：联合定价和补充新鲜度库存或具有不同品质的产品决定了联合定价和库存策略，以优化零售商从产品新鲜度的优势，采用动态规划方案，其中包含基于新鲜度和价格捕捉消费者选择的需求模型。

6. 发明授权

US08352355B2 Configuration pricing strategies for multi-commodity request-for-quotes 失效
标题翻译：多商品请求报价的配置定价策略
公开(公告)号：US08352355B2
公开(公告)日：2013-01-08
申请号：US13106474
申请日：2011-05-12
申请人： Markus R. Ettl , Karthik Sourirajan , Zhengliang Xue
发明人： Markus R. Ettl , Karthik Sourirajan , Zhengliang Xue
IPC分类号： G06Q40/00
CPC分类号： G06Q30/0283
摘要： Win probability estimation model that statistically computes the probability of winning a bid at a given price, and profit optimization models that compute the optimal price for a bid balancing the probability of winning a bid at a price with the profitability of the bid at the given price. In one stage, an expected profit margin of a product may be formulated as a function of its profit margin and win probability to compute its optimal profit margin. In another stage, an expected profit for one or more product accessories may be formulated as a function of the profit margin and their conditional win probability given the server win to compute their optimal profit margins. The conditional win probabilities for the product accessories may be modeled as a function of the utilities of the various purchase options that contain the product and that accessory.
摘要翻译：赢取概率估计模型，统计计算以给定价格赢得出价的概率;以及计算出价最优价格的利润优化模型，平衡以一定价格获胜投标的可能性，并以给定价格获得投标的盈利能力。在一个阶段，产品的预期利润率可以被制定为其利润率的函数，并获得计算其最佳利润率的概率。在另一个阶段，一个或多个产品配件的预期利润可以根据服务器赢得计算其最佳利润率而被制定为利润率和有条件获胜概率的函数。产品配件的条件获胜概率可以被模拟为包含产品和该附件的各种购买选项的功能的函数。

7. 发明申请

US20120271740A1 MANAGING FRESH-PRODUCT INVENTORY 失效
标题翻译：管理新鲜产品库存
公开(公告)号：US20120271740A1
公开(公告)日：2012-10-25
申请号：US13093359
申请日：2011-04-25
申请人： Daniel P. Connors , Markus Ettl , David D. Yao , Zhengliang Xue
发明人： Daniel P. Connors , Markus Ettl , David D. Yao , Zhengliang Xue
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06315 , G06Q10/087
摘要： Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.
摘要翻译：新鲜度库存控制问题可能被形成为随机动态程序。一方面，随机动态规划公式将作为输入库存状态，随机需求预测和与现有库存相关联的成本信息。随机动态规划公式最大化，以确定产品每期的订单数量和耗尽量。

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