公开(公告)号：US20090234695A1

公开(公告)日：2009-09-17

申请号：US11872826

申请日：2007-10-16

Applicant: Mangesh D. Kapadi ,  Jinendra K. Gugaliva ,  Lingathurai Palanisamy

Inventor： Mangesh D. Kapadi ,  Jinendra K. Gugaliva ,  Lingathurai Palanisamy

IPC: G06Q10/00 ,  G06N5/02 ,  G06Q50/00

CPC classification number: G06Q10/04 ,  G06Q10/06311 ,  G06Q10/06375 ,  G06Q50/02

Abstract: A harvesting and/or planting schedule is generated based on a product recovery model and a crop yield model. The product recovery model models recovery of a product, such as sugar, from a crop, such as sugarcane. The crop yield model models yield of the crop from land. First, second, third, and fourth data are used to generate the harvesting and/or planting schedule. The first input data is pertinent to predicting the recovery of the product by use of the product recovery model. The second input data is pertinent to predicting the yield of the crop by use of the crop yield model. The third input data relates to capacity of a crop processing plant to process the crop to produce the product. The fourth input data relates to harvesting and/or planting practices for the crop. The first, second, third, and fourth input data are processed so as to determine an optimum harvesting and/or planting schedule for the crop as a function of the product recovery model, the crop yield model, the crop processing capacity, and the harvesting and/or planting practices.

Abstract translation: 基于产品回收模型和作物产量模型生成收获和/或种植时间表。 产品回收模型模拟了诸如甘蔗等作物的产品如糖的回收。 作物产量模型模拟了土地作物产量。 第一，第二，第三和第四数据用于产生收获和/或种植时间表。 第一个输入数据与通过使用产品恢复模型预测产品的回收有关。 第二个输入数据与通过使用作物产量模型预测作物的产量相关。 第三输入数据涉及作物加工厂处理作物以产生产品的能力。 第四个输入数据涉及作物的收获和/或种植实践。 处理第一，第二，第三和第四输入数据以便根据产品回收模型，作物产量模型，作物处理能力和收获来确定作物的最佳收获和/或种植时间表 和/或种植实践。

公开(公告)号：US07711531B2

公开(公告)日：2010-05-04

申请号：US11445053

申请日：2006-05-31

Applicant: Mangesh D. Kapadi ,  Jinendra K. Gugaliya ,  Lingathurai Palanisamy ,  Jayaram Balasubrahmanyan

Inventor： Mangesh D. Kapadi ,  Jinendra K. Gugaliya ,  Lingathurai Palanisamy ,  Jayaram Balasubrahmanyan

IPC: G06F19/00 ,  G06F7/60 ,  G06F7/00 ,  G06G7/48 ,  G06Q10/00 ,  G06Q30/00 ,  G05B19/418

CPC classification number: G06Q10/04

Abstract: A product recovery prediction model that models recovery of a product from a crop is generated by inputting training product recovery data by date, age, and variety. A first model that models season dependent effects on product recovery, and/or a second model that models age dependent effects on product recovery, and/or a third model that models other effects such as, for example, weather dependent effects on product recovery are generated. The first, second, and/or third models are combined, and the product recovery prediction model is generated based on the combined first, second, and/or third models and on the training product recovery data. The crop may be sugarcane, and the product may be sugar. The product recovery prediction model may be used to predict recovery of the product to use for harvesting or any economical decisions.

Abstract translation: 通过按日期，年龄和品种输入培训产品回收数据，产生了从作物中回收产品的产品回收预测模型。 模拟对产品回收的季节依赖性影响的第一个模型和/或模型对产品恢复的年龄依赖性影响的第二个模型，和/或模拟其他影响的第三个模型，例如对产品回收的天气依赖性影响 生成。 组合第一，第二和/或第三模型，并且基于组合的第一，第二和/或第三模型以及训练产品恢复数据生成产品恢复预测模型。 作物可能是甘蔗，产品可能是糖。 产品回收预测模型可用于预测用于收获或任何经济决策的产品的回收。

公开(公告)号：US20070282583A1

公开(公告)日：2007-12-06

申请号：US11445053

申请日：2006-05-31

Applicant: Mangesh D. Kapadi ,  Jinendra K. Gugaliya ,  Lingathurai Palanisamy ,  Jayaram Balasubrahmanyan

Inventor： Mangesh D. Kapadi ,  Jinendra K. Gugaliya ,  Lingathurai Palanisamy ,  Jayaram Balasubrahmanyan

IPC: G06G7/48

CPC classification number: G06Q10/04

Abstract: A product recovery prediction model that models recovery of a product from a crop is generated by inputting training product recovery data by date, age, and variety. A first model that models season dependent effects on product recovery, and/or a second model that models age dependent effects on product recovery, and/or a third model that models other effects such as, for example, weather dependent effects on product recovery are generated. The first, second, and/or third models are combined, and the product recovery prediction model is generated based on the combined first, second, and/or third models and on the training product recovery data. The crop may be sugarcane, and the product may be sugar. The product recovery prediction model may be used to predict recovery of the product to use for harvesting or any economical decisions.

Abstract translation: 通过按日期，年龄和品种输入培训产品回收数据，产生了从作物中回收产品的产品回收预测模型。 模拟对产品回收的季节依赖性影响的第一个模型和/或模型对产品恢复的年龄依赖性影响的第二个模型，和/或模拟其他影响的第三个模型，例如对产品回收的天气依赖性影响 生成。 组合第一，第二和/或第三模型，并且基于组合的第一，第二和/或第三模型以及训练产品恢复数据生成产品恢复预测模型。 作物可能是甘蔗，产品可能是糖。 产品回收预测模型可用于预测用于收获或任何经济决策的产品的回收。

公开(公告)号：US08055562B2

公开(公告)日：2011-11-08

申请号：US12146100

申请日：2008-06-25

Applicant: Jinendra K. Gugaliya ,  Mangesh D. Kapadi ,  Gudi Ravindra ,  Jagadeesh Brahmajosyula

Inventor： Jinendra K. Gugaliya ,  Mangesh D. Kapadi ,  Gudi Ravindra ,  Jagadeesh Brahmajosyula

IPC: G06Q40/00

CPC classification number: G06Q40/06 ,  G06Q10/10 ,  G06Q40/00 ,  G06Q40/12

Abstract: A process for optimizing a portfolio of products produced from a crop includes the use of an objective function to determine optimized quantities of the products in the portfolio. The objective function, for example, includes quantity terms for the products. The objective function may also include additional terms such as an energy term and/or a storage term. The energy term, for example, relates to an amount of energy required to produce the products. The storage term, for example, relates to the cost of storing products. The crop, for example, may be sugarcane, and the products, for example, may be sugar, molasses, bagasse, biofuel, electricity, and/or carbon credits.

Abstract translation: 优化从作物生产的产品组合的过程包括使用目标函数来确定投资组合中的产品的优化数量。 目标函数例如包括产品的数量条款。 目标函数还可以包括附加项，例如能量项和/或存储项。 能源术语例如涉及生产产品所需的能量。 存储术语例如涉及存储产品的成本。 例如，作物可以是甘蔗，并且产品例如可以是糖，糖蜜，甘蔗渣，生物燃料，电和/或碳信用。

公开(公告)号：US20090326896A1

公开(公告)日：2009-12-31

申请号：US12146100

申请日：2008-06-25

Applicant: Jinendra K. Gugaliya ,  Mangesh D. Kapadi ,  Gudi Ravindra ,  Jagadeesh Brahmajosyula

Inventor： Jinendra K. Gugaliya ,  Mangesh D. Kapadi ,  Gudi Ravindra ,  Jagadeesh Brahmajosyula

IPC: G06G7/48

CPC classification number: G06Q40/06 ,  G06Q10/10 ,  G06Q40/00 ,  G06Q40/12

Abstract: A process for optimizing a portfolio of products produced from a crop includes the use of an objective function to determine optimized quantities of the products in the portfolio. The objective function, for example, includes quantity terms for the products. The objective function may also include additional terms such as an energy term and/or a storage term. The energy term, for example, relates to an amount of energy required to produce the products. The storage term, for example, relates to the cost of storing products. The crop, for example, may be sugarcane, and the products, for example, may be sugar, molasses, bagasse, biofuel, electricity, and/or carbon credits.

Abstract translation: 优化从作物生产的产品组合的过程包括使用目标函数来确定投资组合中的产品的优化数量。 目标函数例如包括产品的数量条款。 目标函数还可以包括附加项，例如能量项和/或存储项。 能源术语例如涉及生产产品所需的能量。 存储术语例如涉及存储产品的成本。 例如，作物可以是甘蔗，并且产品例如可以是糖，糖蜜，甘蔗渣，生物燃料，电和/或碳信用。

公开(公告)号：US07610114B2

公开(公告)日：2009-10-27

申请号：US11287939

申请日：2005-11-28

Applicant: Mangesh D Kapadi ,  Lingathurai Palanisamy ,  Pragathieswaran Shanmugavelu

Inventor： Mangesh D Kapadi ,  Lingathurai Palanisamy ,  Pragathieswaran Shanmugavelu

IPC: B42D15/00 ,  G06F19/00

CPC classification number: G06Q10/06 ,  G06Q10/043

Abstract: Raw rolls and/or sheets of flat sheet stock are charted by a processing system that generates charting patterns using constraint logic programming, that matches the charting patterns and available raw rolls and/or sheets of flat sheet stock, and that selects the optimal patterns from those matching charting patterns and available raw rolls and/or sheets using mixed integer linear programming.

Abstract translation: 原始卷和/或平片材的片材由处理系统制图，该处理系统使用约束逻辑编程来生成图表模式，其与图表模式和可用的原始卷和/或平板纸的片材相匹配，并且选择最佳图案 那些匹配的图表模式和可用的原始卷和/或使用混合整数线性规划的纸张。

公开(公告)号：US20090099776A1

公开(公告)日：2009-04-16

申请号：US11872999

申请日：2007-10-16

Applicant: Mangesh D. Kapadi ,  Jinendra K. Gugaliya ,  Lingathurai Palanisamy

Inventor： Mangesh D. Kapadi ,  Jinendra K. Gugaliya ,  Lingathurai Palanisamy

IPC: G06F19/00 ,  G01W1/00

CPC classification number: G06Q50/02 ,  G06Q10/04

Abstract: A combination of yield prediction models is usable to predict the yield of a crop, such as sugarcane, from land. The model combination includes at least first and/or second models. The first model may be a structured or unstructured model that models season dependent effects on yield. If structured, the first model may be a linear, non-linear, or polynomial representation. The second model may be a structured or unstructured model that models age dependent effects on yield. If structured, the second model may be a linear, non-linear, or polynomial representation. Additional models that model weather and/or soil dependent effects on yield may also be used in the model combination.

Abstract translation: 产量预测模型的组合可用于预测来自陆地的作物（如甘蔗）的产量。 模型组合至少包括第一和/或第二模型。 第一个模型可以是结构化或非结构化模型，其模型对季节依赖性影响对产量的影响。 如果结构化，则第一模型可以是线性，非线性或多项式表示。 第二个模型可以是结构化或非结构化模型，其模型对收益率的年龄依赖性影响。 如果结构化，则第二模型可以是线性，非线性或多项式表示。 在模型组合中也可以使用模拟天气和/或土壤依赖对产量影响的模型。

公开(公告)号：US20080201717A1

公开(公告)日：2008-08-21

申请号：US11677121

申请日：2007-02-21

Applicant: Mangesh D. Kapadi ,  Sudarshan Yermal ,  Lingathurai Palanisamy ,  Gowri Ganesan

Inventor： Mangesh D. Kapadi ,  Sudarshan Yermal ,  Lingathurai Palanisamy ,  Gowri Ganesan

IPC: G06F9/46

CPC classification number: G06F9/54 ,  H04L49/90

Abstract: Periodic communication of data packets between modules in time frames having a plurality of frame rates including a base frame rate through a bus is schedule by determining a first load schedule for data packets of base frame and half base frame rates using constraint logic programming techniques, by determining a second load schedule for data packets of other frame rates using mixed integer linear programming techniques, and by scheduling produce and consume loads for each of the modules based on the first and second load schedules.

Abstract translation: 通过使用约束逻辑编程技术，通过使用约束逻辑编程技术确定基本帧和半基本帧速率的数据分组的第一加载调度，通过包括通过总线的基本帧速率的多个帧速率的时间帧中的模块之间的数据分组的周期性通信， 使用混合整数线性规划技术确定其他帧速率的数据分组的第二负载调度，并且基于第一和第二负载计划调度产生和消耗每个模块的负载。

公开(公告)号：US07321806B2

公开(公告)日：2008-01-22

申请号：US11356710

申请日：2006-02-17

Applicant: Mangesh D. Kapadi ,  Lingathurai Palanisamy ,  Pragathieswaran Shanmugavelu

Inventor： Mangesh D. Kapadi ,  Lingathurai Palanisamy ,  Pragathieswaran Shanmugavelu

IPC: G06F7/66

CPC classification number: G06Q10/043 ,  Y10T29/11 ,  Y10T83/647

Abstract: Cutting and skiving patterns to be used in the production of product rolls from a master roll are selected so as to optimize trim efficiency. The product rolls have widths ordered by customers. In selecting these cutting and skiving patterns, cutting patterns that can be used to trim master rolls of the same or different dimensions in order to fill customer orders for the product rolls are generated, skiving patterns for skiving auxiliary rolls that result from trimming the master roll in order to produce the product rolls according to the customer orders are generated, and those of the generated skiving and cutting patterns that optimize trim efficiency for the production of the product rolls are selected.

Abstract translation: 选择用于从主辊生产产品卷的切割和切割图案，以优化修剪效率。 产品卷具有客户订购的宽度。 在选择这些切割和切割图案时，可以生成可用于修剪相同或不同尺寸的主卷以便填充产品卷的客户订单的切割图案，用于剪切辅助卷的削皮图案 为了根据客户订单生产产品卷，并且选择产生用于产品卷的生产的优化调整效率的所产生的切割和切割图案。