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Resultados 119 resultados LastUpdate Última actualización 17/06/2019 [15:10:00] pdf PDF

Solicitudes publicadas en los últimos 360 días / Applications published in the last 360 days

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DISTRIBUTED MATCH AND ASSOCIATION OF ENTITY KEY-VALUE ATTRIBUTE PAIRS

NºPublicación: US2019179951A1 13/06/2019

Solicitante:

IBM [US]

Resumen de: US2019179951A1

Systems, methods, and computer-readable media are disclosed for associating and reconciling disparate key-value pairs corresponding to a target entity across multiple organizational entities using a distributed match. A shared output mapping may be generated that associates and reconciles common and/or conceptually aligned key-value pairs across the multiple organizational entities. The shared output mapping allows any given organizational entity to leverage information known to other organizational entities about a target entity. In this manner, the organizational entities participate in an information sharing ecosystem that enables each organizational entity to provide a user with a more optimally customized user experience based on the greater breadth of information available through the shared output mapping.

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FAST CHANNEL CHANGE FOR A SET TOP BOX BASED ON CHANNEL VIEWING BEHAVIORS

NºPublicación: US2019174188A1 06/06/2019

Solicitante:

AT & T IP I LP [US]

Resumen de: US2019174188A1

Aspects of the subject disclosure may include, for example, a method comprising obtaining channel change data for a media processor coupled to a gateway; the channel change data relates to channel changes requested during recurring time periods. A channel viewing profile is determined for the media processor, and a channel viewing map is generated corresponding to a portion of the channel viewing profile for one of the time periods; the channel viewing map comprises a list of predicted channels likely to be requested during a recurrence of the time period. Signals are provided to the media processor corresponding to the predicted channels, each of the predicted channels thereby being available for an instant channel change responsive to a channel change request. Other embodiments are disclosed.

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PROCEDURE FOR THE PRODUCTION OF A MULTIPLIER AND MODULATOR ADDITIVE OF THE RUMINAL MICROBIOTE

NºPublicación: WO2019102279A1 31/05/2019

Solicitante:

BIOPREMIX TECH LLC [US]

US_2019150477_A1

Resumen de: WO2019102279A1

The present invention discloses a multiplier and modulator additive of the ruminal microbiota created from exogenous multienzyme compounds, integrating processes and devices for cultivating and harvesting biomass of selected fungal species, assembling active components of fungal origin and by mixing supplies according to specifications, forming thus a multiplier and modulator additive of the ruminal microbiota suitable for its application (as part of food or via distribution devices as a nutritional supplement) in the ruminant animal feed industry.

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INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

NºPublicación: US2019164078A1 30/05/2019

Solicitante:

NEC CORP [JP]

JP_WO2017183548_A1

Resumen de: US2019164078A1

Provided is an information processing system to accurately predict performance of a classifier to the number of samples of labeled data. A training system 100 includes an extraction unit 120 and an estimation unit 130. The extraction unit 120 extracts a reference data set that is similar to a target data set, from one or more reference data sets. The estimation unit 130 estimates a performance of a classifier assuming that the classifier is trained with labeled data in the target data set, by using the extracted reference data set, and outputs the estimated performance.

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BIOMARKERS SIGNATURE DISCOVERY AND SELECTION

NºPublicación: US2019164631A1 30/05/2019

Solicitante:

SIMPLICITYBIO SA [CH]

WO_2017199067_A1

Resumen de: US2019164631A1

The present invention concerns a method for discovering at least a biomarkers signature from biomarker data pools, the method comprising the steps of: i) Generating a set of signatures (1, 2) with fuzzy logic and evolutionary algorithms, each signature reciting a determined number of biomarkers; ii) Selecting at least a target signature from said set of signatures by applying at least the following filters on said set of signatures (1, 2): a) a performance filter; b) a frequency filter; and c) a dominance filter. The present invention further relates to device for discovering at least a biomarkers signature from biomarker data pools and to a use of a biomarker signature discovered by a method according to the present invention for diagnosing, predicting or monitoring a disease.

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FUZZY TERM PARTITION IDENTIFICATION

NºPublicación: US2019163819A1 30/05/2019

Solicitante:

IBM [US]

US_10083231_B1

Resumen de: US2019163819A1

A method, computer system, and a computer program product for building and applying fuzzy term partitions is provided. The present invention may include building a fuzzy category taxonomy. The present invention may also include implementing the built fuzzy category taxonomy into a fuzzy category classifier. The present invention may then include building a fuzzy term extractor. The present invention may further include building a fuzzy term association map. The present invention may also include processing a plurality of words stored on a database. The present invention may then include extracting a fuzzy term from the processed plurality of words. The present invention may further include associating the extracted fuzzy term with a plurality of context data. The present invention may also include producing a context data partition for the extracted fuzzy term. The present invention may then include applying a weight to the extracted fuzzy term.

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PROCEDURE FOR THE PRODUCTION OF A MULTIPLIER AND MODULATOR ADDITIVE OF THE RUMINAL MICROBIOTE

NºPublicación: US2019150477A1 23/05/2019

Solicitante:

BIOPREMIX TECH LLC [US]

US_2019057322_PA

Resumen de: US2019150477A1

The present invention discloses a multiplier and modulator additive of the ruminal microbiota created from exogenous multienzyme compounds, integrating processes and devices for cultivating and harvesting biomass of selected fungal species, assembling active components of fungal origin and by mixing supplies according to specifications, forming thus a multiplier and modulator additive of the ruminal microbiota suitable for its application (as part of food or via distribution devices as a nutritional supplement) in the ruminant animal feed industry.

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Method and system for managing exceptions during reconciliation of transactions

NºPublicación: AU2018202111A1 23/05/2019

Solicitante:

TATA CONSULTANCY SERVICES LTD

US_2019138384_A1

Resumen de: AU2018202111A1

A method and system for managing of exceptions during reconciliation of transactions, wherein the exceptions are raised for possible mismatches existing between data sets being compared. The reconciliation includes performing a first matching of the two sets based on a predefined rule set and a preset reconciliation type, wherein the first matching raises the exceptions. Further, the exceptions, as a batch file, are processed by performing a second matching for the exception-data based on pattern matching mechanism that utilizes fuzzy logic. The pattern matching mechanism is provided with metafiles corresponding to each batch element of the batch files. Further, only possible close matches are retrieved based on a predefined confidence score threshold. The close matches along with corresponding confidence score may be provided to a user on a User Interface (UI) for further investigation of the exceptions.

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一种电力系统数据仓库安全的模糊综合评估方法

NºPublicación: CN109784628A 21/05/2019

Solicitante:

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Resumen de: CN109784628A

本发明提供一种电力系统数据仓库安全的模糊综合评估方法,该方法包括如下步骤:确定电力系统数据仓库的因素集和各因素集的分级层次;利用层次分析算法计算获得各因素集对应的权重;建立模糊评价集,并根据模糊综合评估原理获得最底层单因素集对应的模糊评估矩阵;根据最底层单因素集对应的模糊评估矩阵计算获得电力系统数据仓库的综合评判结果;根据所述电力系统数据仓库的综合评判结果确定所述电力系统数据仓库的安全等级。该方法克服了传统评估方法的因素权重设置主观的问题,提高了评估的准确性。

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MACHINE LEARNING OPTIMIZATION FRAMEWORK

NºPublicación: US2019146424A1 16/05/2019

Solicitante:

IBM [US]

Resumen de: US2019146424A1

Techniques that facilitate machine learning optimization are provided. In one example, a system includes a computational resource component, a batch interval component, and a machine learning component. The computational resource component collects computational resource data associated with a group of computing devices that performs a machine learning process. The batch interval component determines, based on the computational resource data, batch interval data indicative of a time interval to collect data for the machine learning process. The machine learning component provides the batch interval data to the group of computing devices to facilitate execution of the machine learning process based on the batch interval data.

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FUZZING SYSTEM EXECUTION FLOW INFORMATION EXTRACTING APPARATUS AND METHOD FOR FUZZING

NºPublicación: KR20190051301A 15/05/2019

Solicitante:

ELECTRONICS & TELECOMMUNICATIONS RES INST [KR]

Resumen de: KR20190051301A

퍼징용 실행 흐름 정보 추출 장치 및 방법이 개시된다. 본 발명에 따른 퍼징용 실행 흐름 정보 추출 장치는, 퍼징 대상 프로그램이 실행한 CPU 인스트럭션 정보를 추출하는 인스트럭션 추출부, 상기 CPU 인스트럭션 정보로부터, CPU가 실행한 실행 코드 정보를 생성하는 실행 코드 생성부, 상기 퍼징 대상 프로그램의 파일 및 메모리 중 적어도 어느 하나로부터, 기본 블록 정보를 생성하는 블록 정보 생성부, 그리고 생성된 상기 실행 코드 정보 및 상기 기본 블록 정보를 기반으로, 퍼징용 실행 흐름 정보를 생성하는 퍼징용 실행 흐름 정보 생성부를 포함한다.

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MACHINE LEARNING FOR PREVENTIVE ASSURANCE AND RECOVERY ACTION OPTIMIZATION

NºPublicación: AU2019202683A1 09/05/2019

Solicitante:

ACCENTURE GLOBAL SOLUTIONS LTD

AU_2018200874_A1

Resumen de: AU2019202683A1

A computer-implemented method executed by one or more processors, the method including receiving behavior data and line parameter data from a plurality of user devices in real-time, associated with a plurality of communication lines, each user device associated with a respective communication line, wherein the behavior data includes information regarding bandwidth usage and utilization time frames, and the line parameter data includes information regarding the respective communication line and devices that access the respective communication line including device availability, line availability, boot times, link retrains, bit rates upstream and downstream, central processing unit load and signal to noise margin ratio, training a predictive model using training data to determine correlations, wherein the training data is received behavior data and received line parameter data for a subset of the plurality of user devices and a subset of the plurality of communication lines for a particular temporal interval, and wherein at least one correlation indicates that the probability of a network anomaly grows with an increasing number of reboots, line drops or bitrate upstream/downstream, and wherein at least one correlation indicates that the probability of a network anomaly decreases when central processing unit load, signal to noise margin ratio or line availability increases, processing received behavior data and line parameter data through the predictive model, repeatedly tuning

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METHOD AND SYSTEM FOR MANAGING EXCEPTIONS DURING RECONCILIATION OF TRANSACTIONS

NºPublicación: US2019138384A1 09/05/2019

Solicitante:

TATA CONSULTANCY SERVICES LTD [IN]

AU_2018202111_A1

Resumen de: US2019138384A1

A method and system for managing of exceptions during reconciliation of transactions, wherein the exceptions are raised for possible mismatches existing between data sets being compared. The reconciliation includes performing a first matching of the two sets based on a predefined rule set and a preset reconciliation type, wherein the first matching raises the exceptions. Further, the exceptions, as a batch file, are processed by performing a second matching for the exception-data based on pattern matching mechanism that utilizes fuzzy logic. The pattern matching mechanism is provided with metafiles corresponding to each batch element of the batch files. Further, only possible close matches are retrieved based on a predefined confidence score threshold. The close matches along with corresponding confidence score may be provided to a user on a User is Interface (UI) for further investigation of the exceptions.

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System and Method for Solutioning Class Imbalance Problem by Using and

NºPublicación: KR20190048119A 09/05/2019

Solicitante:

PUSAN NATIONAL UNIV INDUSTRY UNIV COOPERATION FOUNDATION [KR]

Resumen de: KR20190048119A

본 발명은 FCM(Fuzzy C-means Clustering)과 SMOTE(Synthetic Minority Over-sampling Technique) 기법을 결합하여 편중된 학습을 방지할 수 있도록 한 FCM과 SMOTE를 이용한 클래스 불균형 문제 해결을 위한 장치 및 방법에 관한 것으로, 회귀분석 및 분류 기법을 구현하기 위한 학습 데이터가 원시 데이터로 시스템에 입력되면 이를 다수 클래스 데이터와 소수 클래스 데이터로 나누는 분류 모듈;상기 분류 모듈을 통하여 나누어진 소수 클래스 데이터에 FCM을 적용하기 위한 클러스터링 모듈;Extended Gap Statistics를 이용하여 최적의 클러스터 수를 도출하는 파라미터 설정 모듈;합성 데이터를 생성하기 위해 SMOTE 기법을 적용하는 데이터 생성 모듈;을 포함하는 것이다.

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METHOD AND SYSTEM FOR MANAGING EXCEPTIONS DURING RECONCILIATION OF TRANSACTIONS

NºPublicación: EP3480771A1 08/05/2019

Solicitante:

TATA CONSULTANCY SERVICES LTD [IN]

AU_2018202111_A1

Resumen de: EP3480771A1

A method and system for managing of exceptions during reconciliation of transactions, wherein the exceptions are raised for possible mismatches existing between data sets being compared. The reconciliation includes performing a first matching of the two sets based on a predefined rule set and a preset reconciliation type, wherein the first matching raises the exceptions. Further, the exceptions, as a batch file, are processed by performing a second matching for the exception-data based on pattern matching mechanism that utilizes fuzzy logic. The pattern matching mechanism is provided with metafiles corresponding to each batch element of the batch files. Further, only possible close matches are retrieved based on a predefined confidence score threshold. The close matches along with corresponding confidence score may be provided to a user on a User Interface (UI) for further investigation of the exceptions.

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一种电力应用数据的优化方法及系统

NºPublicación: CN109726861A 07/05/2019

Solicitante:

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Resumen de: CN109726861A

本发明公开了一种电力应用数据的优化方法及系统,所述方法包括:步骤A,用电用户向平台发布购买需求;步骤B,根据所述购买需求对电能产品进行筛选,剔除不符合条件的电能产品;步骤C,根据筛选出的电能产品的不同报价方式,计算出多个购买方案组合,将所述多个购买方案组合进行排序后发送给用电用户选择;步骤D、用电用户根据所选择的购买方案购买电能;步骤E、供能方根据用户购买情况进行电力传输。本发明所提供的上述基于互联网平台电力交易量化采买优化方法和系统,能够帮助用户选择合适的供电商。

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基于Kraljic采购定位模型的配网物资分类方法

NºPublicación: CN109711765A 03/05/2019

Solicitante:

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\u56FD\u7F51\u6E56\u5317\u7701\u7535\u529B\u6709\u9650\u516C\u53F8\u7ECF\u6D4E\u6280\u672F\u7814\u7A76\u9662

Resumen de: CN109711765A

一种基于Kraljic采购定位模型的配网物资分类方法,包括以下步骤:A、结合配网物资的需求特点,确定两维度对应的影响因素;B、进行问卷设计,采用专家打分法得到各影响因素的得分,并确定一级影响因素的相对权重;C、通过量表设计,采用模糊层次分析法确定各影响因素的权重;D、通过专家打分法得到所选配网物资重要性的得分,继而得到二级影响因素的得分加权平均值,然后通过一级影响因素的相对权重得到一级影响因素全局得分加权平局值;E、绘制各配网物资的两维度坐标图;F、确定各配网物资的Kraljic物资定位矩阵分类结果。本设计提高了配网物资分类的准确性,从而提高了电网公司的配网物资采购效率和效益。

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一种船舶动力装置综合状态评估方法

NºPublicación: CN109711707A 03/05/2019

Solicitante:

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Resumen de: CN109711707A

本发明涉及一种船舶动力装置综合状态评估方法,属于船舶动力装置技术领域,解决了现有技术建模过程复杂、不易验证模型正确性、对船舶动力装置运行状态评估不准确且效率较低的问题。该方法包括如下步骤:确定与船舶动力装置运行状态有关联的所有因素,以及每一因素对应的权重;确定每一因素可能的评判状态,分析每一因素在各评判状态下的隶属程度,建立模糊综合评判矩阵;根据上述模糊综合评判矩阵,以及每一因素对应的权重,获得综合评判结果,根据所述综合评判结果对船舶动力装置运行状态进行综合评价。该方法结合船舶动力装置的实际运行状态可对多因素模型进行验证,因此能够对船舶动力装置的运行状态给出准确评估,提升全船任务执行能力。

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一种基于熵权模糊综合评价模型的驾驶风格评价方法

NºPublicación: CN109711691A 03/05/2019

Solicitante:

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Resumen de: CN109711691A

本发明公开了一种基于熵权模糊综合评价模型的驾驶风格评价方法,本发明运用信息熵反映数据本身的效用值来计算评价参数的权重,使权重的确定具有一定的理论依据,同时采用熵权和主观权重结合的方法确定综合权重,兼顾主观偏好与客观属性,使结果更加合理可靠;本发明在驾驶模拟器上构建了不同行驶工况下的驾驶场景,更符合实际情况中的驾驶情况,对驾驶人驾驶风格的评价更易得出准确的结论;本发明建立了基于熵权模糊综合评价模型的驾驶人驾驶风格的评价方法,能够准确的区分驾驶人的驾驶风格,可以为个性化的驾驶辅助系统的开发提供一定的理论支持。

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一种基于卷积神经网络和模糊聚类的用电客户画像新方法

NºPublicación: CN109685567A 26/04/2019

Solicitante:

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Resumen de: CN109685567A

本发明公开了一种基于卷积神经网络和模糊聚类的用电客户画像新方法,涉及卷积神经网络的负荷监测领域和模糊聚类的用电客户画像领域,包括以下步骤:通过卷积神经网络算法对用电负荷进行分类和用电量分解;通过模糊聚类算法为用电客户匹配画像。本发明适应于用电客户画像发展趋势,对实现差异化服务、电网系统稳定和负荷精准营销至关重要。

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EXTENDED METHOD FOR CONSTRUCTING INTELLIGENT SYSTEM PROCESSING UNCERTAIN CAUSAL RELATIONSHIP TYPE INFORMATION

NºPublicación: WO2019076026A1 25/04/2019

Solicitante:

BEIJING TSINGRUI INTELLIGENCE TECH CO LTD [CN]

CN_107944562_A

Resumen de: WO2019076026A1

A computer readable storage medium. A computer program is stored on the storage medium; when the computer program is executed, a method for an intelligent system processing uncertain causal relationship type information can be executed. Regarding the method, the following technical content is added on the basis of existing dynamic uncertain causality graph technology: expressing, by using a new logic gate and new action variables, an effect of evidences and a combination thereof on the probability of occurrence of a root cause event; expressing, by using an inverse logic gate, a logic relationship between a cause event and a combination of more than one result event, and performing reasoning; expressing, by using a specific event, a corresponding relationship between the specific event and a root cause event, and directly determining a cause when the specific event is observed; expressing, by using a degree of attention of a result event, a degree of decrease of a probability that a reasoning result is true due to that the result event cannot be explained by the reasoning result, and involving said degree of attention in probability calculation; and expressing, by using a degree of risk of the root cause event, a degree of damage to a system caused by the root cause event, and involving said degree of risk in reasoning calculation.

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种品牌的声量资产的评估方法及系统

NºPublicación: CN109657962A 19/04/2019

Solicitante:

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Resumen de: CN109657962A

本发明涉及种品牌的声量资产的评估方法及系统,该方法包括:建立声量资产的评估指标体系;获取评估指标体系的最底层指标在给定行业的全部品牌的点赞量、转发量、评论量和阅读量,并计算点赞量、转发量、评论量和阅读量的增量数据;对增量数据进行模糊区间划分,建立评估指标体系的评分标准;建立各级指标的权重;利用乘加算子计算各级指标的隶属度向量;根据评分标准、权重及隶属度向量,利用乘加算子逐级计算评估指标体系的综合评分。本发明提供的技术方案,综合利用了层次分析法及模糊综合评价法,实现了对品牌的声量资产的定量、客观、精准的评估,为商家提高品牌营销精准度及用户改善品牌消费体验度奠定了决策基础,用户满意度高,体验好。

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种基于多状态模型融合的高速列车轴温在线估计方法

NºPublicación: CN109657259A 19/04/2019

Solicitante:

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Resumen de: CN109657259A

本发明的公开了种基于多状态模型融合的高速列车轴温在线估计方法,具体按照以下步骤实施:首先基于随机森林RF分别建立列车在加速、平稳运行和减速状态下的列车轴温估计模型;然后基于模糊隶属度建立列车的工况判别模型;最后对不同工况下的模型和不同运行工况的隶属度进行融合,得到列车的实时轴温估计模型,该方法可实时对轴温进行准确估计,并提高监测设备的可靠性与稳定性。

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种面向鱼类生境保护的河流生态流量过程推求方法

NºPublicación: CN109615076A 12/04/2019

Solicitante:

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Resumen de: CN109615076A

本发明公开了种面向鱼类生境保护的河流生态流量过程推求方法,所述方法具体包含:首先对研究区域鱼类资源现状进行调查,确定生态流量推求的目标鱼类;对目标鱼类进行针对性调查,同时进行实验室胁迫实验,筛选关键水环境因子,利用实验室及野外调查获得的数据,建立目标鱼类不同生命阶段与关键环境因子间的定量响应关系;收集研究区域的水文、水质、地形及气象等基础数据,采用模糊数学原理建立鱼类栖息地模型,并与水环境模型耦合,构建鱼类栖息地评价体系,得出栖息地与流量的动态响应关系;确定河流生态流量过程计算的参照体系,综合考虑目标鱼类不同生命阶段的生境需求及天然径流的季节变化,推求河流完整水文年生态流量过程。该发明可为水库面向生态友好调度提供约束条件,并为流域水资源分配及管理提供切实可靠的依据。

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种柔性IC基板点线面缺陷的快速分类方法

Nº publicación: CN109615606A 12/04/2019

Solicitante:

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Resumen de: CN109615606A

本发明公开了种柔性IC基板点线面缺陷的快速分类方法,包括,根据点线面缺陷图像检测步骤,得到缺陷检测结果;采用点线面智能分类步骤,对缺陷检测结果进行分类,得到分类结果。本发明解决了柔性IC基板点线面缺陷快速分类难题,为生产过程品质监控提供科学依据。

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