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公开(公告)号：WO2014200155A1
公开(公告)日：2014-12-18
申请号：PCT/KR2013/009361
申请日：2013-10-18
Applicant: 전북대학교산학협력단 , 목포대학교산학협력단 , 주식회사 아이에스피
IPC: G01N23/223 , G06F19/00
CPC classification number: G01N23/223 , G01N2223/345
Abstract: 본 발명은 인공 신경망을 이용하여 중첩 피크를 보다 간단하고 신속하게 분리할 수 있도록 하는 중첩 피크 분리 장치 및 이를 이용하는 X선 형광 분석 장치에 관한 것으로, 상기 중첩 피크 분리 장치는 중첩 피크를 포함하는 신호 스펙트럼이 입력되는 입력층, 상기 신호 스펙트럼의 피크 검출값이 출력되는 출력층, 및 상기 입력층과 출력층 사이에 위치하는 은닉층으로 구성되고, 상기 입력층과 은닉층 사이와 상기 은닉층과 출력층 사이는 상기 중첩 피크와 상기 피크 검출값의 상관관계인 연결강도로 연결되는 인공 신경망; 및 상기 인공 신경망에 학습 데이터를 반복 입력하면서, 상기 출력층의 오차율이 목표 오차율에 도달하도록 상기 연결 강도를 조정하는 학습부;를 포함할 수 있다.
Abstract translation: 本发明涉及能够使用人造神经网络更简单且更快速地分离重叠峰的重叠峰分离装置和使用其的X射线荧光分析装置。 重叠峰值分离装置包括：人造神经网络，其包括输入包括重叠峰值的信号频谱的输入层，输出信号频谱的峰值检测值的输出层和位于输入端之间的隐藏层 层和输出层，其中输入层和隐藏层以及隐层和输出层以与重叠峰值和峰值检测值之间的关系相对应的连接强度互连; 以及学习单元，用于在将学习数据重复输入人造神经网络的同时，调整连接强度，使得输出层的错误率达到目标误差率。
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公开(公告)号：KR101440236B1
公开(公告)日：2014-09-12
申请号：KR1020130067847
申请日：2013-06-13
Applicant: 전북대학교산학협력단 , 목포대학교산학협력단
IPC: G01N23/223
CPC classification number: G01N23/223 , G01N23/04 , G01N23/2076 , G01N2223/076 , G01N2223/304 , G01N2223/313 , G01R23/167
Abstract: The present invention relates to a method to analyze X-ray fluorescence and a method to remove backgrounds for the same, which accurately and efficiently removes backgrounds included in a spectrum for X-ray fluorescence analysis. A method to divide spectrum sections comprises: a step of creating a cumulative graph by performing multi-resolution analysis on spectrum data, and by collecting and accumulating differences of the analysis results; a step of detecting section division points by considering a gradient of the cumulative graph and the gradient rate; a step of dividing the spectrum data into sections based on the section division points; a step of firstly removing the backgrounds included in the spectrum data by classifying sections, where symbols of the differences of the analysis results are crossed and changes into a peak area, and the remaining sections into a background area; and a step of estimating the remaining background in the peak area and secondly removing backgrounds by fitting a beginning point and an end point of the peak area through a linear function or an exponential function.
Abstract translation: 本发明涉及一种分析X射线荧光的方法和一种去除其背景的方法，其精确有效地去除了包括在X射线荧光分析的光谱中的背景。 分割频谱部分的方法包括：通过对频谱数据进行多分辨率分析，并通过收集和累积分析结果的差异来创建累积图的步骤; 通过考虑累积图的梯度和梯度率来检测区间分割点的步骤; 基于区段分割点将频谱数据划分为多个部分的步骤; 首先通过分类部分去除包括在频谱数据中的背景的步骤，其中分析结果的差异的符号被越过并变成峰值区域，其余部分进入背景区域; 以及通过线性函数或指数函数拟合峰值区域的起点和终点来估计峰值区域中的剩余背景并且其次去除背景的步骤。
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Patent Agency Ranking
公开(公告)号：KR101440237B1
公开(公告)日：2014-09-12
申请号：KR1020130070761
申请日：2013-06-20
Applicant: 전북대학교산학협력단 , 목포대학교산학협력단
IPC: G01N23/223
CPC classification number: G01N23/223 , G01N23/2076 , G01N2223/076 , G01N2223/313 , G01T1/36 , G06F17/17
Abstract: The present invention relates to a method to divide spectrum sections to apply an interval threshold method even to XRF spectrum data with random properties by dividing the sections of the XRF spectrum using peak size characteristics, and to a method to analyze X-ray fluorescence using the same. The method to divide spectrum sections comprises: a step of reducing spectrum data through down sampling and then differentiating the reduced signal; a step of creating a cumulative graph by accumulating the differentiation results of the reduced signal; a step of detecting section division points using a gradient of the cumulative graph and the gradient rate; and a step of dividing the spectrum data into sections based on the section division points.
Abstract translation: 本发明涉及通过使用峰值特性划分XRF频谱的各部分来分割频谱部分以应用间隔阈值法甚至具有随机特性的XRF频谱数据的方法，以及使用该方法来分析X射线荧光 相同。 分割频谱部分的方法包括：通过下采样减少频谱数据，然后对减小的信号进行微分的步骤; 通过累加减小的信号的微分结果来产生累积图的步骤; 使用累积图的梯度和梯度率来检测区间分割点的步骤; 以及基于部分分割点将频谱数据划分为多个部分的步骤。
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公开(公告)号：KR101417635B1
公开(公告)日：2014-07-21
申请号：KR1020130048233
申请日：2013-04-30
Applicant: 전북대학교산학협력단
IPC: G01N23/223
CPC classification number: G01N23/223 , G01N2223/076 , G01N2223/304 , G01N2223/313
Abstract: The present invention relates to a method for detecting the maximum value of a fluorometric analysis, capable of accurately detecting the maximum value in a trapezoidal filter used for analyzing the components of a substance using X-rays, and an X-ray fluorometric analyzing device using the same. According to the present invention, the method for detecting the maximum value of a fluorometric analysis comprises an output step of outputting a trapezoidal detection signal through a trapezoidal filter used for analyzing the components of a substance using X-rays; a register generation step of generating a register for storing the outputted detection signal value; a storage step of storing the outputted detection signal value in the register; a classification step of identifying whether or not a part belongs to one among increasing, decreasing, and flat top parts by discriminating the code of a value obtained by differentiating the detection signal value, stored in the register; and a detection step of identifying the part as one among an increasing register, a flat top register, and a decreasing register, and detecting the maximum value by recognizing the detection signal value stored in the flat top register. The present invention can reduce the error of the maximum value by extracting the detection signal value of the flat top part close to the decreasing part as the maximum value; thereby accurately extracting the components of the substance.
Abstract translation: 本发明涉及一种用于检测荧光分析的最大值的方法，其能够精确地检测用于使用X射线分析物质成分的梯形滤波器中的最大值，以及使用X射线荧光分析装置 一样。 根据本发明，用于检测荧光分析的最大值的方法包括：输出步骤，通过用于使用X射线分析物质的成分的梯形滤波器输出梯形检测信号; 寄存器生成步骤，生成用于存储所输出的检测信号值的寄存器; 存储步骤，将输出的检测信号值存储在寄存器中; 通过识别通过对存储在寄存器中的检测信号值进行微分而获得的值的代码来识别部件是否属于增加型，减少型和平顶型之一的分类步骤; 以及检测步骤，其将所述部分识别为增加寄存器，平顶寄存器和递减寄存器之一，并且通过识别存储在平顶寄存器中的检测信号值来检测最大值。 本发明可以通过将靠近减小部分的平顶部的检测信号值提取为最大值来减小最大值的误差; 从而精确地提取物质的成分。
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公开(公告)号：KR1020120115843A
公开(公告)日：2012-10-19
申请号：KR1020110033399
申请日：2011-04-11
Applicant: 전북대학교산학협력단 , 주식회사 아이에스피
CPC classification number: H03H17/0027 , H03H2017/0081
Abstract: PURPOSE: A weighted interpolation method using a sub filter is provided to lower hardware complexity in an application which requires an interpolation value at specific time. CONSTITUTION: An interpolation polynomial for new input data is obtained. The new input data are a-&dgr;, b, c, and d. An optimum &dgr; for increasing performance of an interpolation filter is obtained by variously changing &dgr; in a section where t is the same as or larger than 0 and smaller than 1. If a pass band of a sub filter is 0.3π and m is 1, a linear sub phase filter is expressed by the equation which is (&dgr;=C-1x(n-1)+C0x(n)+C0x(n-1)+C1x(n-2)). A weight element(&dgr;W) is applied to increase interpolation performance at specific time.
Abstract translation: 目的：提供使用子滤波器的加权插值方法，以降低在特定时间需要插值的应用中的硬件复杂度。 构成：获得新的输入数据的插值多项式。 新的输入数据是a-＆dgr; b，c和d。 最佳＆dgr 通过不同的改变来获得插值滤波器的性能， 在t大于0且小于1的区间中。如果子滤波器的通带为0.3π，m为1，则线性子相位滤波器由（＆dgr = C1X第（n-1）+ C0X（N）+ C0X（N-1）+ C1X第（n-2））。 应用权重元素（＆dgr; W）来增加特定时间的插值性能。
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公开(公告)号：KR1020120115729A
公开(公告)日：2012-10-19
申请号：KR1020110033210
申请日：2011-04-11
Applicant: 전북대학교산학협력단 , 주식회사 아이에스피
CPC classification number: G08C25/00
Abstract: PURPOSE: A preprocessing method for minimizing an abnormal value influence of spectrum data is provided to supply a result similar to an original signal by reducing an abnormal value found in a spectrum or other signals and performing preprocessing at a low calculation cost. CONSTITUTION: A difference value between a model and a target signal is obtained by selecting a model for the target signal. A noise and an abnormal value getting out of a predetermined range are removed by applying a median filter to the difference value. A preprocessed signal is restored by combining the processed signal with the model. A preprocessing result is obtained by applying smooth algorithm to the restored signal. [Reference numerals] (1) Obtaining a model of a target signal; (2) Applying a median filter to a difference between the model and the target signal; (3) Applying smooth algorithm by adding the filter applied value and the model
Abstract translation: 目的：提供一种用于最小化频谱数据的异常值影响的预处理方法，通过减少频谱或其他信号中发现的异常值并以低的计算成本执行预处理，来提供与原始信号相似的结果。 构成：通过选择目标信号的模型，获得模型和目标信号之间的差值。 通过对该差分值应用中值滤波器来消除噪声和超出预定范围的异常值。 通过将处理的信号与模型组合来恢复预处理信号。 通过对恢复的信号应用平滑算法获得预处理结果。 （附图标记）（1）获取目标信号的模型; （2）将中值滤波器应用于模型与目标信号之间的差异; （3）通过添加滤波器应用值和模型应用平滑算法
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公开(公告)号：KR101443710B1
公开(公告)日：2014-10-01
申请号：KR1020130066667
申请日：2013-06-11
Applicant: 전북대학교산학협력단
IPC: G01N23/223
CPC classification number: G01N23/223 , G01N23/04 , G01N2223/076 , G01N2223/1016 , G01N2223/304 , G01N2223/313
Abstract: The present invention relates to an x-ray fluorescence analyzer and a method of analyzing using the same, which remove a pile-up signal outputted together with a normal signal when analyzing contents of a substance in order to calculate more preferable output value. According to the present invention, the fluorescence analyzer includes an x-ray emitter emitting an x-ray; a maximum value measuring device receiving a fluorescent x-ray reflected after the x-ray is radiated to a substance to be measured and detecting a peak value of the fluorescent x-ray; a signal recognition unit receiving the reflected fluorescent x-ray and differentiating the received fluorescent x-ray to recognize an inputted signal; a pile-up signal measurement unit analyzing the signal recognized by the signal recognition unit to distinguish a pile-up signal; a distinguishing unit distinguishing whether the maximum value can be detected from the pile-up signal; and an output unit outputting the corresponding value if the maximum value can be detected from the pile-up signal. By removing a pile-up signal outputted together with a normal signal, the shape of the maximum value is changed to a more preferred, trapezoidal shape, thereby extracting a maximum value that can be utilized in analysis and improving reliability.
Abstract translation: 本发明涉及一种X射线荧光分析仪及使用该方法进行分析的方法，当分析物质的内容时，能够消除与正常信号一起输出的堆积信号，以计算更优选的输出值。 根据本发明，荧光分析仪包括发射x射线的x射线发射体; 接收将x射线照射到待测物体后反射的荧光X射线并检测荧光X射线的峰值的最大值测量装置; 信号识别单元，其接收反射的荧光X射线并且对接收到的荧光X射线进行微分识别输入的信号; 堆积信号测量单元，分析由信号识别单元识别的信号，以区分堆积信号; 区分能否从堆积信号中检测出最大值的区别单元; 以及如果可以从堆积信号检测到最大值，则输出单元输出相应的值。 通过除去与正常信号一起输出的堆积信号，将最大值的形状改变为更优选的梯形形状，从而提取可用于分析和提高可靠性的最大值。
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