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Resultados 103 resultados LastUpdate Última actualización 16/10/2019 [15:14:00] pdf PDF

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

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FLEXIBLE VECTOR-PROCESSING ALGORITHMS FOR NUMERICALLY SOLVING EXTREME-SCALE, LINEAR AND NON-LINEAR, PREDICTIVE AND PRESCRIPTIVE, PROBLEMS IN SCIENCE AND ENGINEERING, ON PARALLEL-PROCESSING SUPER COMPUTERS

NºPublicación: US2019311306A1 10/10/2019

Solicitante:

PETERSON ELMOR L [US]

Resumen de: US2019311306A1

A computer-implemented method for numerical solution of a geometric programming problem is described, including the computer-implemented steps of: reformulating the geometric programming problem as an equivalent generalized geometric programming optimization problem with only linear constraints, and solving the equivalent generalized geometric programming optimization problem by vector processing, including determining by computer-implemented numerical computation a solution for an unconstrained objective function whose independent vector variable is the generalized geometric programming conjugate dual of a primal decision vector variable of the geometric programming problem, and includes a variable linear combination of fixed vectors enabling the vector processing. Also described are computer-readable storage devices, computer program products, and computer systems for such numerical solution methodology.

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ONLINE PURCHASE AUTOFILL PLUG-IN

NºPublicación: US2019303432A1 03/10/2019

Solicitante:

AMERICAN EXPRESS TRAVEL RELATED SERVICES CO INC [US]

US_2017199857_PA

Resumen de: US2019303432A1

Systems and methods of improving the operation of a transaction network and transaction network devices are disclosed. An online purchase autofill plugin includes various modules and engines. The fields of online forms may be identified and the fields of online forms may be automatically filled. The user experience may be improved, and data security enhanced so that the transaction network more properly functions according to approved parameters, such as protecting the integrity of sensitive data.

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一种基于并行学习的具有高可解释性的模糊集成分类器

NºPublicación: CN110287996A 27/09/2019

Solicitante:

\u6E56\u5DDE\u5E08\u8303\u5B66\u9662

Resumen de: CN110287996A

本发明公开了一种基于并行学习的具有高可解释性的模糊集成分类器,依次包括以下步骤:零阶TSK模糊分类器的快速构建方法;构建增强验证数据集,对于验证数据集的每个样本,计算对应的每个输出函数的值,并将其值作为原样本的增强特征,从而形成增强验证数据集;在增强验证数据集上对每一类分别调用FCM算法生成一系列代表性的中心点及其对应的标签,并去掉代表性中心点的增强特征;对于任何测试样本,利用KNN找到距离其最近的k个代表性中心点,以确定其类标。采用并行学习方法,运算复杂度较低,结构简单易懂,能够进行快速学习,在处理分类问题上具有良好的性能。

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A METHOD, AN APPARATUS AND A COMPUTER PROGRAM PRODUCT FOR AN INTERPRETABLE NEURAL NETWORK REPRESENTATION

NºPublicación: WO2019180310A1 26/09/2019

Solicitante:

NOKIA TECHNOLOGIES OY [FI]

Resumen de: WO2019180310A1

The invention relates to a method comprising obtaining a neural network;distilling the neural network into at least one inference model; based on the inference model, determining an interpretability measure, said interpretability measure indicating a level of interpretability of the inference model; and outputting the interpretability measure.The invention also relates to an apparatus and a computer program product for implementing the method.

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EXTENSIBLE, ADAPTIVE, INTELLIGENT DATA COLLABORATION PLATFORM

NºPublicación: US2019287044A1 19/09/2019

Solicitante:

ADORANT GROUP LLC [US]

Resumen de: US2019287044A1

Systems and methods are disclosed for client-advisor collaboration. An example system includes a server in communication with a client device, configured to receive one or more client metrics input via the client device. The system also includes a profiling engine in communication with the server and configured to: receive the client metrics and the advisor metrics, determine one or more implied client metrics based on the received client metrics, and generate a plurality of client tags corresponding to a client based on (i) the one or more client metrics, (ii) the one or more implied client metrics, and (iii) one or more profiling rules. The system also includes an education engine configured to: determine one or more knowledge entities based on the generated plurality of client tags, and transmit the one or more knowledge entities to the client device.

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刮板减速机模糊故障诊断方法及系统

NºPublicación: CN110243589A 17/09/2019

Solicitante:

\u5317\u4EAC\u5929\u5730\u9F99\u8DC3\u79D1\u6280\u6709\u9650\u516C\u53F8

Resumen de: CN110243589A

本发明涉及一种刮板减速机模糊故障诊断方法及系统,该方法包括:步骤1,基于刮板减速机故障案例及相关知识,构建基于故障原因和故障征兆的模糊关系矩阵;步骤2,基于刮板减速机故障案例及相关知识,构建基于粗糙集的权重矩阵;步骤3,将所述权重矩阵与所述模糊关系矩阵合并,构建新模糊关系矩阵;步骤4,对多传感器采集的刮板减速机监测参数模糊化,得到多源模糊输入向量;步骤5,基于所述新模糊关系矩阵及多源模糊输入向量,通过求解模糊矩阵及模糊评判,得到刮板减速机故障诊断结果。本发明基于粗糙集和模糊推理对刮板减速机的健康状态进行诊断,提高了诊断的准确率及效率,保障了刮板减速机运行可靠性。

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BREAST CANCER DETECTION USING NEAR-FIELD PROBES WITH MACHINE LEARNING TECHNIQUES

NºPublicación: US2019274617A1 12/09/2019

Solicitante:

WAVE INTELLIGENCE INC [CA]

Resumen de: US2019274617A1

The present invention is a near-field microwave sensing modality that uses a single probe combined with a classification algorithm to help in detecting the presence of tumors in the human female breast. The concept employs a near-field resonant probe with an ultra-narrow frequency response. The resonant probe is highly sensitive to the changes in the electromagnetic properties of the breast tissues such that the presence of the tumor is gauged by determining the changes in the magnitude and phase response of the sensor's reflection coefficient. A key feature of our proposed detection concept is the simultaneous sensing of tissue property changes to the two female breasts since the right and left healthy breasts are morphologically and materially identical. Once the probe response is recorded for both breasts, the Principle Component Analysis (PCA) method is employed to emphasize the difference in the probe responses.

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Data Management for Genetic Laboratory Testing

NºPublicación: US2019279777A1 12/09/2019

Solicitante:

LABORATORY CORP AMERICA HOLDINGS [US]

WO_2019178140_A1

Resumen de: US2019279777A1

Aspects and features described herein can present a healthcare provider with information to support a decision, for example, a decision relating to one or more genetic tests for a patient. A processing device in a system can receive an order request from an electronic device associated with a provider, where the order request corresponds to a genetic laboratory test requested by a healthcare provider. The processing device can create and store a decision report request file corresponding to the genetic laboratory test and determine if the provider patient electronic health record is compatible with the decision report request file. The processing device can also populate a decision support application programming interface (API) corresponding to the provider if the provider patient electronic health record is compatible with the decision report request file.

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基于模糊层次和CRITIC法的配电网诊断评估指标权重赋权方法

NºPublicación: CN110175789A 27/08/2019

Solicitante:

\u56FD\u7F51\u5C71\u4E1C\u7701\u7535\u529B\u516C\u53F8\u7ECF\u6D4E\u6280\u672F\u7814\u7A76\u9662,
\u5C71\u4E1C\u667A\u6E90\u7535\u529B\u8BBE\u8BA1\u54A8\u8BE2\u6709\u9650\u516C\u53F8,
\u6D4E\u5357\u7ECF\u7EAC\u7535\u529B\u5DE5\u7A0B\u54A8\u8BE2\u6709\u9650\u516C\u53F8,
\u56FD\u5BB6\u7535\u7F51\u6709\u9650\u516C\u53F8

Resumen de: CN110175789A

本发明公开了基于模糊层次和CRITIC法的配电网诊断评估指标权重赋权方法,包括以下步骤:运用因子回归分析,进行降维分类、去除冗余指标,筛选出关键指标;利用模糊层次分析法对筛选后的指标进行分层主观赋权;利用CRITIC法对筛选后的指标进行客观赋权;基于最优组合权重方法对主观赋权和客观赋权得到的权重进行合并,得到筛选后指标的综合权重。对配电网诊断分析指标进行了全面梳理并选取了典型化指标建立了诊断评估体系,有助于后续开展诊断评估工作。采用基于模糊层次和CRITIC法的配电网诊断评估指标权重赋权方法能够准确的对各指标进行赋权,赋权结果准确性较高。

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一种基于关联规则挖掘和模糊决策的制造质量控制方法

NºPublicación: CN110163511A 23/08/2019

Solicitante:

\u91CD\u5E86\u5927\u5B66

Resumen de: CN110163511A

本发明公开了一种基于关联规则挖掘和模糊决策的制造质量控制方法,获取同一型号零件制造过程的质量数据集合;对每条质量数据中的每个质量特性进行质量特性等级映射,以每个质量特性建立对应的质量三元组,从而对应于每条质量数据均形成相应的三元组事务;再由全部三元组事务组成三元组事务集合D;采用Apriori算法对三元组事务集D进行挖掘分析,以获取强关联规则;根据强关联规则与加工质量要求制定出相应的质量控制策略;采用模糊决策方法判断质量控制策略的优先级,根据优先级确定质量控策略实施的先后顺序。本发明解决了现有技术中对质量控制缺乏针对性的技术问题,能够对质量控制策略进行优先级决策。

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一种基于气味信息BP神经模糊识别的水果鲜度识别方法、装置及系统

NºPublicación: CN110161194A 23/08/2019

Solicitante:

\u4E2D\u5317\u5927\u5B66

Resumen de: CN110161194A

本发明公开了一种基于气味信息BP神经模糊识别的水果鲜度识别方法、装置及系统,包括:采集待测水果所散发出的气味信息,将采集到的气味信息进行预处理后提取出气味特征参数;将提取出的气味特征参数分别输入各个已训练好的BP神经网络模型中进行计算,得到各个用于单因素衡量水果鲜度的特征指标的计算结果;根据各个特征指标的计算结果,采用模糊综合评价法,计算出待测水果鲜度的综合评分,最终得到待测水果鲜度的识别结果;本发明通过将BP神经网络与普通矩阵乘法结合起来进行气味识别,最后结合模糊感官识别算法对水果进行鲜度评价,能够准确地识别出水果的新鲜程度适用于利用无线传感器进行品质检测的技术领域。

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基于区间犹豫模糊多粒度决策粗糙集的多属性群决策方法

NºPublicación: CN110135587A 16/08/2019

Solicitante:

\u5C71\u897F\u5927\u5B66

Resumen de: CN110135587A

本发明公开了一种基于区间犹豫模糊多粒度决策粗糙集的多属性群决策方法,其中提出四种区间犹豫模糊多粒度决策粗糙集,来体现决策专家所提出意见之间的乐观性、悲观性、少数服从多数、多数服从少数、风险中性,通过输入区间犹豫模糊信息系统(U,V,R,E);输出最优备选方案x;具体计算包括从四种具有不同风险的区间犹豫模糊信息融合理论模型中选择一种理论模型;确定专家权重及所选择出理论模型中的参数λ;将条件概率Pr(E|x)和Pr(E|x)替换为所选择出理论模型中的区间犹豫模糊隶属度;针对每一个方案x计算条件概率的比值及对应的得分函数对备选方案进行优劣排序;依据得到最优备选方案。本发明为多属性群决策问题提供了一种从多粒度三支计算角度出发的有效解决方案。

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Method, system, and apparatus for monitoring network traffic and generating summary

NºPublicación: US2019253436A1 15/08/2019

Solicitante:

INST OF INFORMATION ENGINEERING CHINESE ACADEMY OF SCIENCES [CN]

WO_2018054217_PA

Resumen de: US2019253436A1

The present invention provides a method, a system, and a device for a hash generation and network traffic detection. It uses a method of storing intermediate calculation results to perform hash calculation for streaming data, and uses a matrix multiplication operation as a strong hash algorithm to reduce memory occupation. The present invention can generate hash in real time in the case of streaming data comprising defects, unordered, and overlapping, which is suitable for detecting files from network traffic, and is applicable to virus detection, intrusion detection, data anti-leakage, network content review, digital forensics, digital rights protection, and other fields.

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ADAPTIVE TEACHING SYSTEM FOR GENERATING GAMIFIED TRAINING CONTENT AND INTEGRATING MACHINE LEARNING

NºPublicación: US2019244127A1 08/08/2019

Solicitante:

PROGRENTIS CORP [PA]

Resumen de: US2019244127A1

An improved system and method for generating gamified training content using multimodal human-machine interfaces controlled by an adaptive backend training system. Such a system can include a gamification engine working in conjunction with a machine learning engine for adaptively updating or restructuring database elements by analyzing existing data and applying external training data. Training content can thus be progressively optimized for various users, groups, and training contexts as the system adapts.

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Verfahren und Fahrassistenzsystem zum automatisierten Parken eines Kraftfahrzeugs

NºPublicación: DE102018102671A1 08/08/2019

Solicitante:

VALEO SCHALTER & SENSOREN GMBH [DE]

Resumen de: DE102018102671A1

Die Erfindung betrifft ein Verfahren zum automatisierten Parken eines Kraftfahrzeugs (1), bei dem:- ein Parkbereich ermittelt wird;- Abmessungen (11) des Parkbereichs ermittelt werden; und- das Kraftfahrzeug (1) im Parkbereich eingeparkt wird.Erfindungsgemäß werden Objektklassen (17) bezüglich unterschiedlicher möglicher Parkbereiche und/oder unter Berücksichtigung von Eigenschaften des Kraftfahrzeugs (1) vorgegeben und das Einparken erfolgt unter Nutzung einer zu ermittelnden realen Zielposition, wobei:- die Abmessungen (11) des ermittelten Parkbereichs fuzzyfiziert (18) werden, indem zu den Abmessungen (11) des ermittelten Parkbereichs unter Anwendung von Zugehörigkeitsfunktionen (14) und/oder unter Nutzung von vorgebbaren Expertenregeln (13) Zugehörigkeitswerte ermittelt werden, die einen Grad der Zugehörigkeit des ermittelten Parkbereichs zu allen jeweiligen Objektklassen (17) angeben;- aus den Zugehörigkeitswerten ein Fuzzy-Gravitationsschwerpunkt mittels einer Fuzzy-Logik (15) ermittelt wird; und- Daten (12) der realen Zielposition aus dem Fuzzy-Gravitationsschwerpunkt ermittelt (16) werden.

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LED照明Cuk-LLC三端口电路及其模糊预测方法

NºPublicación: CN110087366A 02/08/2019

Solicitante:

\u798F\u5DDE\u5927\u5B66

Resumen de: CN110087366A

本发明涉及一种LED照明Cuk‑LLC三端口电路及其模糊预测方法。包括一光伏发电电源、一输入直流电源、一电感、一电感、一谐振电感、一功率MOS管S、一功率MOS管S、一中间电容、一谐振电容、一输出电容、变压器T(包含原边绕组、副边绕组)、一功率二极管D、一功率二极管D、一功率二极管D、一功率二极管D、一LED负载。本发明通过组合双向Cuk电路与半桥LLC谐振电路,实现软开关三端口变换电路和电池储能管理。同时,通过采样电池电压和电源电压信号,采用模糊预测算法预估变换器占空比增量以提高电路的动态响应性能和控制精度。

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LOAD BALANCING FOR DISTRIBUTED PROCESSING OF DETERMINISTICALLY ASSIGNED DATA USING STATISTICAL ANALYSIS OF BLOCK DATA

NºPublicación: US2019236474A1 01/08/2019

Solicitante:

ORACLE INT CORP [US]

Resumen de: US2019236474A1

Dynamic generation and implementation of assignment mappings of data items in large data files to distributed processors to achieve objectives such as reduced overall processing time like. Any appropriate key (e.g., character string) can be identified or obtained for each data item in a data file and the file can be segmented into sequential data blocks, where each data block includes a set of data items. The data items in each of a first plurality of the blocks (e.g., sampled block set) may be initially sorted into one of a plurality of key ranges of a search space (each corresponding to a different respective processor) and analyses conducted on the data items totals in each key range. The key range boundaries can be adjusted by accounting for uncertainty in the sample estimates to more evenly distribute data items from all blocks sent to each processor and thereby achieve the objective.

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SYSTEM AND METHOD OF DATA MANAGEMENT AND COMPARISON

NºPublicación: US2019236069A1 01/08/2019

Solicitante:

OLE MEDIA MAN GP INC [CA]

Resumen de: US2019236069A1

A system and method can be provided to facilitate the comparison of different data sets associated with different organizations. A first data set belonging to a first organization and a second data set belonging to a second organization can be provided. Permissions can be set such that users associated with the first organization cannot view the data contained in the second data set and vice versa. The data sets can be compared based on selected data categories to generate a third data set of match results. The comparison can comprise the use of fuzzy logic. Unmatched data can be excluded from the third data set to protect sensitive data of each organization. The third data set can then be shared between the first and second organization.

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SYSTEM AND METHOD OF DATA MANAGEMENT AND COMPARISON

NºPublicación: CA3032180A1 31/07/2019

Solicitante:

OLE MEDIA MAN GP INC [CA]

US_2019236069_PA

Resumen de: CA3032180A1

A system and method can be provided to facilitate the comparison of different data sets associated with different organizations. A first data set belonging to a first organization and a second data set belonging to a second organization can be provided. Permissions can be set such that users associated with the first organization cannot view the data contained in the second data set and vice versa. The data sets can be compared based on selected data categories to generate a third data set of match results. The comparison can comprise the use of fuzzy logic. Unmatched data can be excluded from the third data set to protect sensitive data of each organization. The third data set can then be shared between the first and second organization.

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基于改进粒子群算法与模糊算法相结合的MPPT方法

NºPublicación: CN110058635A 26/07/2019

Solicitante:

\u897F\u5B89\u5DE5\u4E1A\u5927\u5B66

Resumen de: CN110058635A

本发明公开一种利用改进粒子群算法和模糊算法相结合的最大功率点跟踪算法(MPPT),该方法具体为:首先对标准粒子群算法进行改进,在标准粒子群算法的基础上改变其追踪极值的方式,使粒子不再追踪全局极值,转而追踪当前时刻下的最优粒子的位置。并使最优粒子按照模糊算法寻找最大功率点,由此将改进粒子群算法与模糊算法相结合。本发明不仅实现对全局最大功率点搜寻,并且有效减小粒子在最大功率点处的震荡,提高对最大功率点的追踪精度。

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一种故障诊断方法

NºPublicación: CN110059413A 26/07/2019

Solicitante:

\u4E2D\u56FD\u822A\u7A7A\u65E0\u7EBF\u7535\u7535\u5B50\u7814\u7A76\u6240

Resumen de: CN110059413A

本发明提供的一种故障诊断方法,所述方法包括:输入故障样本数据;根据所述故障样本数据�x7684;属性和故障建立高斯模糊数模型;输入待测样本数据;利用单值中智集生成规则,根据高斯模糊数模型和待测样本数据,生成各种属性和各种故障的中智集;对不同属性且同种故障的中智集融合;利用Topsis方法将各种故障的中智集转换为可比较大小的关联值;根据每种故障的关联值,对判断设备故障种类。

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REAL-TIME ADAPTIVE CONTROL OF ADDITIVE MANUFACTURING PROCESSES USING MACHINE LEARNING

NºPublicación: US2019227525A1 25/07/2019

Solicitante:

RELATIVITY SPACE INC [US]

US_2018341248_A1

Resumen de: US2019227525A1

Disclosed herein are machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of additive manufacturing and/or welding processes.

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ANALYSIS SYSTEM

NºPublicación: US2019227535A1 25/07/2019

Solicitante:

VON SOBBE HANS ULRICH [DE]

US_2019142334_A1

Resumen de: US2019227535A1

A system for controlling an operating condition of an operating system includes a data collector, controller and processing logic comprising a model of the operating system including sets of operation parameters and correlated operating conditions. Values of a portion of the operation parameters are retrieved and form an initial parameter set which is compared with correlated operating conditions. The processing logic determines a correlated operating condition with a corresponding probability of coincidence and for a matching operating condition with the highest probability of coincidence checks whether other matching operating conditions with a similar probability of coincidence exist. If another matching operating condition exists, an additional operation parameter with a similar probability of coincidence is obtained and the process is repeated from the comparison step until no other matching operating conditions with a similar probability of coincidence exist, at which point the matching operating condition is transmitted to the controller.

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考虑关联性与优先关系的区间犹豫模糊图决策方法的构建

NºPublicación: CN110046204A 23/07/2019

Solicitante:

\u5C71\u897F\u5927\u5B66

Resumen de: CN110046204A

本发明公开了一种考虑关联性与优先关系的区间犹豫模糊图决策方法的构建,其中包括考虑关联性与优先关系的区间犹豫模糊图多属性决策方法的模型建立和模型计算研究,通过输入区间犹豫模糊决策矩阵,属性间的线性优先关系,描述属性间关联性的区间犹豫模糊图;输出最优备选方案;具体计算包括计算备选决策方案的具有关联性的属性a和a之间的区间犹豫模糊信息能量系数ψ;利用属性间的线性优先关系计算属性权重ω;计算备选决策方案p(k=1,2,...,m)的总体属性值计算备选决策方案p对应总体属性值的得分值确定最优备选决策方案本发明利用区间犹豫模糊图的特点与优势,为同时具备关联性与优先关系的复杂不确定多属性决策问题提供了一种有效的解决方案。

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基于模糊PI的灰度循迹传感器及其基准电压的调节方法

Nº publicación: CN110007624A 12/07/2019

Solicitante:

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Resumen de: CN110007624A

本发明公开了基于模糊PI的灰度循迹传感器及其基准电压的调节方法,其中,该灰度循迹传感器包括微处理器、光强采集电路、电压放大电路以及循迹比较电路,所述循迹比较电路包括电压比较器和循迹检测电路,所述光强采集电路的输出端与所述微处理器的输入端电连接,所述微处理器的输出端与所述电压放大电路的输入端电连接,所述微处理器的输入端与所述电压比较器的输入端电连接,所述电压放大电路的输出端和所述循迹检测电路的输出端均与所述电压比较器的输入端电连接。本发明能够提高环境适应性,进而提高循迹准确性。

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