This research developed the technology which united ISO-GUM （International Organization of Standard-Guide to Express of Uncertainty in Measurement） and QE （Quality Engineer） strategically and employed both feature...This research developed the technology which united ISO-GUM （International Organization of Standard-Guide to Express of Uncertainty in Measurement） and QE （Quality Engineer） strategically and employed both feature efficiently. Although to tow technology of purpose use is same, each has future. The purpose is scheduled to improve the accuracy as a result of the clinical examinations. The result of research was used for diagnosis by equivalent Quality Control （eqQC） of the same level when and where, that are needed for broader-based medical system of the time of IT-era. Since National Institute of Standard and Technology （NIST） is recommend use of complicated operation by ISO-GUM for uniting, realization required the newest high quality computer technology. The algorithm of the complexity system of operation is that Fast Fourier Transform （FFT）, Inverse Fast Fourier Transform （IFFT） and Multi-variance Analysis （MA） are needed in Fig. 4. The main new improving points are changed of ambiguous expression method of data, and the pursuit which the cause of worsens accuracy put into data. All data with an assurance reported the final result for patient or donor. Medical laboratory quality system service is offered essential in the laboratory to be correct result for health care by Good Laboratory Practices （GLP） useful ISO 15189. Quality Assurance （QA） is achieved though system reliability.展开更多
This paper analyses the Uncertainty of Expressing, whichthere should be when people express themselves, describe thetruth in their minds, and offer their conclusions about somematters. The Uncertainty of Expressing, o...This paper analyses the Uncertainty of Expressing, whichthere should be when people express themselves, describe thetruth in their minds, and offer their conclusions about somematters. The Uncertainty of Expressing, one sort of languagephenomenon, consists in the choice of words and the mood ofspeaking. The intent of this paper is to help betterunderstanding.展开更多
To address the difculty of obtaining Guide to the Expression of Uncertainty in Measurement(GUM)-based measurement uncertainty for sensors employing artifcial neural networks(ANNs)in the feld of mechanical measurement,...To address the difculty of obtaining Guide to the Expression of Uncertainty in Measurement(GUM)-based measurement uncertainty for sensors employing artifcial neural networks(ANNs)in the feld of mechanical measurement,this paper proposes and demonstrates a GUM-based uncertainty evaluation method for a nonlinear optical angle sensor that uses a multilayer perceptron artifcial neural network(MLP-ANN).The proposed sensor decodes the angular information of a target by inputting a measured second harmonic generation spectrum into a trained MLP-ANN to enable wide-range angle measurement.However,the measurement uncertainty of this method has not yet been evaluated,and such an analysis is essential to assess the accuracy and reliability of the sensor.This paper demonstrates the measurement uncertainty evaluation of the nonlinear optical angle sensor using a specifcally trained MLP-ANN and thereby confrms the feasibility of the proposed GUM-based method.Mathematical derivations are provided to obtain the sensitivity coefcients required for uncertainty estimation.Notably,this derivation is one of the most challenging aspects when applying GUM to ANN-based sensors.The uncertainty of the reference instrument used to generate training labels is also considered by incorporating the efects of the ANN training.The proposed method reveals that the measurement uncertainty of the MLP-ANN estimation ranges from 0.555 arcseconds to 30.264 arcseconds across diferent measurement regions.A detailed discussion of the results is also provided.展开更多
文摘This research developed the technology which united ISO-GUM （International Organization of Standard-Guide to Express of Uncertainty in Measurement） and QE （Quality Engineer） strategically and employed both feature efficiently. Although to tow technology of purpose use is same, each has future. The purpose is scheduled to improve the accuracy as a result of the clinical examinations. The result of research was used for diagnosis by equivalent Quality Control （eqQC） of the same level when and where, that are needed for broader-based medical system of the time of IT-era. Since National Institute of Standard and Technology （NIST） is recommend use of complicated operation by ISO-GUM for uniting, realization required the newest high quality computer technology. The algorithm of the complexity system of operation is that Fast Fourier Transform （FFT）, Inverse Fast Fourier Transform （IFFT） and Multi-variance Analysis （MA） are needed in Fig. 4. The main new improving points are changed of ambiguous expression method of data, and the pursuit which the cause of worsens accuracy put into data. All data with an assurance reported the final result for patient or donor. Medical laboratory quality system service is offered essential in the laboratory to be correct result for health care by Good Laboratory Practices （GLP） useful ISO 15189. Quality Assurance （QA） is achieved though system reliability.
文摘This paper analyses the Uncertainty of Expressing, whichthere should be when people express themselves, describe thetruth in their minds, and offer their conclusions about somematters. The Uncertainty of Expressing, one sort of languagephenomenon, consists in the choice of words and the mood ofspeaking. The intent of this paper is to help betterunderstanding.
基金supported by the Japan Society for the Promotion of Science(JP24K00771)Japan Science and Technology Agency(J220000798)。
文摘To address the difculty of obtaining Guide to the Expression of Uncertainty in Measurement(GUM)-based measurement uncertainty for sensors employing artifcial neural networks(ANNs)in the feld of mechanical measurement,this paper proposes and demonstrates a GUM-based uncertainty evaluation method for a nonlinear optical angle sensor that uses a multilayer perceptron artifcial neural network(MLP-ANN).The proposed sensor decodes the angular information of a target by inputting a measured second harmonic generation spectrum into a trained MLP-ANN to enable wide-range angle measurement.However,the measurement uncertainty of this method has not yet been evaluated,and such an analysis is essential to assess the accuracy and reliability of the sensor.This paper demonstrates the measurement uncertainty evaluation of the nonlinear optical angle sensor using a specifcally trained MLP-ANN and thereby confrms the feasibility of the proposed GUM-based method.Mathematical derivations are provided to obtain the sensitivity coefcients required for uncertainty estimation.Notably,this derivation is one of the most challenging aspects when applying GUM to ANN-based sensors.The uncertainty of the reference instrument used to generate training labels is also considered by incorporating the efects of the ANN training.The proposed method reveals that the measurement uncertainty of the MLP-ANN estimation ranges from 0.555 arcseconds to 30.264 arcseconds across diferent measurement regions.A detailed discussion of the results is also provided.
