Associated rule mining for automatic electronic component performance attribute identification****

自动电子元件性能属性识别的关联规则挖掘****

• 批准号: 537363-2018
• 负责人: LAKHSSASSI, AHMED
• 金额: $ 1.82万
• 依托单位: Québec en Outaouais
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=656402
• 关键词: Associated; rule; mining; automatic; electronic

Lytica's electronic components supply chain information products operate by using a reference library that was developed in-house that tracks information about all products that are available in the global marketplace. Our current reference library contains for now around 20 million parts, and we have an active research program in place to employ information extraction methods to read new product information from PDF datasheets. **The main goal of this project is to develop a software method that can automatically recommend fit/form/function performance characteristics from a given MPN. We seek to perform the experimental development of Bootstrap Technologies an electronic component repository that can provide performance and product compliance attributes for eight major vendors and thousands of manufacturers' websites. This partnership with UQO focuses on the following tasks: **(1) Document annotation for various datasheets**(2) Recognizing the key words (core electronics components) **(3) Extract aspects of each electronic components**(4) Build a database of similar electronic components based on parameters, performance and cost ****The project will be conducted at UQO by Dr. Ahmed Lakhssassi. In addition to contributing to the training of two graduate students and one professional, this research will promote the development of Canadian industry by aiding Lytica in creating new processes, by developing new expertise in tracks information about all products that are available in the global marketplace. Lytica seeks to grow and dominate the Billion dollar market in 2019.******

Lytica的电子元器件供应链信息产品使用内部开发的参考库运行，该参考库跟踪全球市场上所有产品的信息。我们目前的参考资料库包含大约2000万个零件，我们有一个积极的研究计划，采用信息提取方法从PDF图纸中读取新产品信息。** 本项目的主要目标是开发一种软件方法，可以自动推荐给定MPN的配合/形状/功能性能特征。我们寻求执行Bootstrap Technologies的实验性开发，这是一个电子元件库，可以为八个主要供应商和数千个制造商的网站提供性能和产品合规性属性。与UQO的合作重点是以下任务：**（1）各种电子表格的文档注释 **（2）识别关键词（核心电子元件）**（3）提取每个电子元件的各个方面 **（4）基于参数，性能和成本建立类似电子元件的数据库 * 该项目将由Ahmed Lakhssassi博士在UQO进行。除了为两名研究生和一名专业人员的培训做出贡献外，这项研究还将通过帮助Lytica创造新的工艺，通过开发有关全球市场上所有产品的跟踪信息的新专业知识，促进加拿大工业的发展。Lytica寻求在2019年增长并主导数十亿美元的市场。