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automatic data-processing PROCEDURE FOR GROUND PROBING RADAR

IEICE TRANSACTIONS ON COMMUNICATIONS 1994年第6期E77B卷 831-837页

作者： SATO, T TAKEDA, K WAKAYAMA, T KIMURA, I ABE, T SHINBO, T KOMATSU CO LTD ELECTR RES INST HIRATSUKA 254 JAPAN

We developed an automatic data processing algorithm for a ground-probing radar which is essential in analyzing a large amount of data by a non-expert. Its aim is to obtain an optimum result that the conventional technique can give, without the assistance of an experienced operator. The algorithm is general except that it postulates the existence of at least one isolated target in the radar image. The raw images of underground objects are compressed in the vertical and the horizontal directions by using a pulse-compression filter and the aperture synthesis technique, respectively. The test function needed to configure the compression filter is automatically selected from the given image. The sensitivity of the compression filter is adjusted to minimize the magnitude of spurious responses. The propagation velocity needed to perform the aperture synthesis is determined by fitting a hyperbola to the selected echo trace. We verified the algorithm by applying it to the data obtained at two test sites with different magnitude of clutter echoes.

关键词： APERTURE SYNTHESIS PULSE COMPRESSION UNDERGROUND DETECTION automatic data processing OPTIMIZATION GROUND PROBING RADAR

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automatic data processing and defect detection in time-of-flight diffraction images using statistical techniques

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INSIGHT 2005年第9期47卷 538-542页

作者： Zahran, O Al-Nuaimy, W Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

Ultrasonic Time-of-Flight Diffraction (TOFD) has proved highly effective for the inspection of welds, providing at accurate positioning and sizing of defects. Currently, Most TOFD data interpretation is performed off-line by a trained operator anti using interactive software aids. This processing is highly dependent on operator experience, alertness and consistency and is cumbersome and time-consuming. Results typically suffer from inconsistency, and slight inaccuracies, particularly when dealing with large volumes of data. The recent trend in the related disciplines of remote sensing p and medical imaging is to automate the data processing and interpretation process as jar as possible, relieving the expert to some event of unnecessary or repetitive tasks. It is anticipated that TOFD interpretation could benefit from such automation, improving the interpretation procedures by adding an element of robustness' accuracy and consistency. This can be achieved by discriminating between subtle variations in visual and spectral properties of the data, resulting in savings in time, effort and cost. This paper presents a scheme for the automatic processing of TOFD data and detection of weld defects as part of a comprehensive TOFD inspection and interpretation aid. A number of signal and image processing tools have been specifically adapted for use with ultrasonic TOFD data and developed to function autonomously without the need for continuous intervention. It is hoped this will form the basis for a new paradigm in ultrasonics for fully automatic batch processing and interpretation.

关键词： Batch processing Weld defects Time of flight diffraction Ultrasonics attribute data Automation TIME OF FLIGHT precise registration automatic data processing Defect detection statistical techniques large volume data

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Detection of adverse drug reactions: evaluation of an automatic data processing applied in oncology performed in the French Diagnosis Related Groups database

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FUNDAMENTAL & CLINICAL PHARMACOLOGY 2018年第2期32卷 227-233页

作者： Quillet, Alexandre Colin, Olivier Bourgeois, Nicolas Favreliere, Sylvie Ferru, Aurelie Boinot, Laurence Lafay-Chebassier, Claire Perault-Pochat, Marie-Christine CHU Poitiers Serv Pharmacol Clin & Vigilances 2 Rue Mil F-86021 Poitiers France CHU Poitiers Serv Neurol 2 Rue Mil F-86021 Poitiers France CHU Poitiers Serv Oncol Med 2 Rue Mil F-86021 Poitiers France CHU Poitiers Serv Informat Med 2 Rue Mil F-86021 Poitiers France CHU Poitiers INSERM CIC 1402 2 Rue Mil F-86021 Poitiers France

The aim of this study was to assess an automated detection method of serious adverse reactions induced by oral targeted therapy (OTT) in patients with cancer, performed in the French Diagnosis Related Groups (DRG) database. Patients with cancer of the Poitiers hospital who started an OTT between 2014 and 2015 were included. This study focused on adverse drug reaction which required inpatient hospitalization (ADR(h)). All diagnoses coded in the DRG database for hospital stays that occurred within 3 months after OTT initiation were collected (potential ADR(h)). Filters (exclusion criteria) were automatically applied on potential ADR(h) to exclude diagnoses that were not adverse drug reactions (false positives). A pharmacovigilance review was carried out to identify ADR(h) in the medical records (reported ADR(h)). The sensitivity and specificity of the detection method were estimated for each filter combinations by comparison between potential and reported ADR(h). This study included 129 patients. The medical records review led to identify 19 ADR(h) (all coded in the DRG database) in 14 patients. To maintain a 100% sensitivity of the method detection, the best specificity obtained was 58.3% (95% IC: [55.2-61.4]).The use of restrictive filters (drug' in the diagnostic label, specific diagnosis code for adverse cancer drug reaction) resulted in a 97.8% specificity (95% IC: [96.6-98.5]) with a 38.2% sensitivity (95% IC: [23.9-55.0]). Our method has detected the third of ADR(h) with an excellent specificity. Complementary experimentations in pharmacovigilance centers are necessary to evaluate the interest of this tool in routine in addition to spontaneous reporting.

关键词： neoplasms molecular targeted therapy pharmacovigilance automatic data processing Diagnosis Related Groups-based information system adverse drug reactions

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A New Fine Detection Approach for Explosion Cracks Based on Distributed Fiber Optic Sensing and Deep Learning

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ROCK MECHANICS AND ROCK ENGINEERING 2025年 1-16页

作者： Li, Jin Yang, Renshu Yang, Liyun Zuo, Jinjing Zhang, Xiang You, Yuanyuan Kang, Yiqiang China Univ Min & Technol Beijing Sch Mech & Civil Engn Beijing 10083 Peoples R China Univ Sci & Technol Beijing Sch Civil & Resource Engn Beijing 100083 Peoples R China Univ Sci & Technol Beijing Sch Mech Engn Beijing 100083 Peoples R China

The formation and propagation of fracture fields under explosive loading significantly influence rock rupture morphology and blasting effectiveness. However, the transient nature of the explosive event and the complex coupling of blast-induced stresses pose considerable challenges in accurately monitoring crack propagation during experimental investigations. This study introduces, for the first time, an innovative approach for precise detection of explosion-induced cracks using Distributed Fiber Optic Sensing (DFOS) integrated with deep learning techniques. Initially, the feasibility of DFOS for monitoring crack propagation under explosive loading is validated. Subsequently, millimeter-level precision in tracking crack extension paths is achieved through polar coordinate transformation and color mapping techniques. A novel strain profile image generation approach is also developed to facilitate the visual representation of DFOS strain data. The spatial distribution of cracks is successfully identified using the YOLOv5 deep learning model, achieving precision, recall, and F1 scores of 0.927, 0.933, and 0.930, respectively, demonstrating the high efficacy of the proposed detection method. This approach eliminates the need for traditional visual imaging and presents a pioneering solution for detecting internal fracture fields induced by explosions.

关键词： Blasting Distributed fiber optics Crack detection Deep learning automatic data processing

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Microtomography to traditional dental radiograph: projecting 3-dimensional initial proximal caries lesion annotations for enhanced radiographic delineation

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DENTOMAXILLOFACIAL RADIOLOGY 2025年第4期54卷 320–328页

作者： Gonzalez-Valenzuela, Ricardo E. Vu, Quoc T. D. Mettes, Pascal Loos, Bruno G. Marquering, Henk Berkhout, Erwin Univ Amsterdam Acad Ctr Dent Amsterdam ACTA Dept Oral Radiol NL-1182 DB Amsterdam Netherlands Vrije Univ Amsterdam NL-1182 DB Amsterdam Netherlands Acad Med Ctr Univ Amsterdam AMC Dept Biomed Engn & Phys NL-1105 AZ Amsterdam Netherlands Univ Amsterdam Informat Inst VISlab NL-1098 XH Amsterdam Netherlands Univ Amsterdam Acad Ctr Dent Amsterdam ACTA Dept Periodontol NL-1182 DB Amsterdam Netherlands Acad Med Ctr Univ Amsterdam AMC Dept Radiol & Nucl Med NL-1105 AZ Amsterdam Netherlands

Objectives This study was undertaken to generate high-quality radiographic annotations of initial proximal carious lesions based on micro-CT scans. Specifically, we projected manually and automatically acquired annotations of micro-CT scans onto corresponding traditional dental *** We utilized the Diagnostic Insights for Radiographic Early-caries with micro-CT (ACTA-DIRECT) dataset of manually annotated initial proximal carious lesions in micro-CT scans and radiographs, the former serving as reference-standard. Production of high-quality radiographic annotations entailed the following: (1) acquiring a reference-standard (for a semi-automated approach) or generating a fully automated micro-CT-based annotation (for a fully automated approach);(2) simulating the corresponding radiograph by projecting the micro-CT scan to find the suitable projection parameters;and (3) superimposing micro-CT-based caries annotations onto radiographs, using identical projection parameters. To evaluate the subsequent accuracy of the annotations on radiograph, we assessed the sensitivity, specificity, and International Caries Classification and Management System (ICCMS) staging of micro-CT-based automated annotations. Projection accuracy was qualitatively *** Micro-CT-based automated annotations outperformed conventional annotations achieving a sensitivity of 50% (95% CI: 42%-59%) compared to 42% (95% CI: 34%-51%) and specificity of 99% (95% CI: 96%-100%) compared to 92% (95% CI: 87%-94%). Among correctly identified micro-CT-based automated annotations, 94% (61/65) were also accurately classified;and 80% of micro-CT projections were ranked as suitably similar to corresponding *** Micro-CT imaging offers resource-rich depictions, enabling more accurate annotations than those achievable through conventional means. By projecting micro-CT-based annotations of initial proximal caries onto radiographs, some limitations of the conventional radiograph

关键词： radiography micro-CT scans carious lesions data annotation automatic data processing

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Comparing Manual and automatic Artifact Detection in Sleep EEG Recordings

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PSYCHOPHYSIOLOGY 2025年第2期62卷 e70016页

作者： Ujma, Peter P. Dresler, Martin Bodizs, Robert Semmelweis Univ Inst Behav Sci Budapest Hungary Radboud Univ Nijmegen Med Ctr Donders Inst Nijmegen Netherlands

Sleep electroencephalogram (EEG) recordings can be contaminated by artifacts. Visual and automatic methods have been developed to mark such erroneous segments of EEG data. Here, we systematically explored the effect of artifacts on the sleep EEG power spectrum density (PSD), and we compared gold-standard visual detections to a simple automatic detector using Hjorth parameters to identify artifacts. We found that most distortions in the all-night average PSD occur because of a small minority of highly anomalous artifacts, which mainly affect the beta and gamma frequency ranges and NREM delta. Visual and automatic detections only showed moderate agreement in which data segments are artifactual. However, the resulting all-night average PSD is highly similar across all methods, and PSDs calculated with all methods successfully recover the known correlations of PSD with age and sex. No parameter settings of the automatic detector clearly outperformed others. Additionally, we showed that accurate average PSD estimates can be recovered from just a fraction of available data epochs. Our results suggest that artifacts represent a minor and easily solvable problem in sleep EEG recordings. Most visually identified artifacts do not seriously distort estimates of mid-frequency activity in the sleep EEG spectrum, and distortions to low and high frequencies can be eliminated using a simple automatic detection method nearly as well as with visual detections. These findings show that the visual inspection of EEG data is not necessary to eliminate the effects of artifacts, which is encouraging for the expected performance of automatic preprocessing in large sleep EEG databases.

关键词： artifacts automatic data processing data quality EEG sleep

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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI?

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EUROPEAN RADIOLOGY EXPERIMENTAL 2025年第1期9卷 1-9页

作者： Kelly, Brendan S. Duignan, Sophie Mathur, Prateek Dillon, Henry Lee, Edward H. Yeom, Kristen W. Keane, Pearse A. Lawlor, Aonghus Killeen, Ronan P. St Vincents Univ Hosp Dublin Ireland UCD Insight Ctr Data Analyt Dublin Ireland Irish Clin Acad Training Wellcome Trust HRB Dublin Ireland Univ Coll Dublin Sch Med Dublin Ireland Lucille Packard Childrens Hosp Stanford Stanford CA USA UCL London England

BackgroundThe large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI).MethodsPaired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression. Its performance was compared to pretrained U-Net and ViT models. Accuracy was the primary evaluation metric and 95% confidence interval (CIs) were calculated by bootstrapping. We included 170 patients with MS (50 males, 120 females), aged 21-74 years (mean 42.3), imaged at a single institution from 2019 to 2021, each with 2-5 MRI studies (496 in total).ResultsOne hundred seventy patients were included, 110 for training, 30 for tuning, and 30 for testing;100 unseen paired images were randomly selected from the test set for evaluation. Both U-Net and ViT had 94% (95% CI: 89-98%) accuracy while GPT4V had 85% (77-91%). GPT4V gave cautious nonanswers in six cases. GPT4V had precision (specificity), recall (sensitivity), and F1 score of 89% (75-93%), 92% (82-98%), 91 (82-97%) compared to 100% (100-100%), 88 (78-96%), and 0.94 (88-98%) for U-Net and 94% (87-100%), 94 (88-100%), and 94 (89-98%) for *** performance of GPT4V combined with its accessibility suggests has the potential to impact AI radiology research. However, misclassified cases and overly cautious non-answers confirm that it is not yet ready for clinical *** statementGPT4V can identify the radiologic progression of MS in a simplified experimental setting. However, GPT4V is not a medical device, and its widespread availability highlights the need for caution and education for lay users, especially those with limited access to expert *** PointsWithout fine-tuning or the need for prior coding experience, GPT4V

关键词： Artificial intelligence automatic data processing Brain Disease progression Multiple sclerosis

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A CITYGML EXTENSION FOR TRAFFIC-SIGN OBJECTS THAT GUIDES THE automatic processing OF data COLLECTED USING MOBILE MAPPING TECHNOLOGY

A CITYGML EXTENSION FOR TRAFFIC-SIGN OBJECTS THAT GUIDES THE...

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ISPRS Technical Commission I Symposium

作者： Varela-Gonzalez, M. Riveiro, B. Arias-Sanchez, P. Gonzalez-Jorge, H. Martinez-Sanchez, J. Univ Vigo Dept Nat Resources & Environm Engn Appl Geotechnol Grp Vigo 36310 Spain Univ Vigo Dept Mat Engn Appl Mech & Construct Appl Geotechnol Grp Vigo 36310 Spain

ISBN: (纸本)9781629935201

The rapid evolution of integral schemes, accounting for geometric and semantic data, has been importantly motivated by the advances in the last decade in mobile laser scanning technology;automation in data processing has also recently influenced the expansion of the new model concepts. This paper reviews some important issues involved in the new paradigms of city 3D modelling: an interoperable schema for city 3D modelling (cityGML) and mobile mapping technology to provide the features that composing the city model. This paper focuses in traffic signs, discussing their characterization using cityGML in order to ease the implementation of LiDAR technology in road management software, as well as analysing some limitations of the current technology in the labour of automatic detection and classification.

关键词： LiDAR automatic data processing cityGML road mapping sensor integration

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automatic METHOD FOR processing MASS data IN CLINICAL MEDICINE (FOSDIC)

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Methods of information in medicine 1963年第4期2卷 125-129页

作者： COSMA, J. VOLK, M. GREENOUGH, M.L. PIPBERGER, H.V.

1. The need for automatic data processing techniques in investigative medicine is briefly-stated and stresse’d. 2. Among the more widely used methods for collection, storage and analysis of large scale data, the punch cards, although suitable for direct computer input, leave a limited input speed. 3. A new system developed jointly by the Bureau of the Census and the National Bureau of Standards, called FOSDIC is described. 4. FOSDIC is basically an analog scanner actuated by a digital computer. It automatically reads, recodes and transcribes the information on magnetic tape in binary language. 5. FOSDIC. consists of four parts: a scanning unit, a program unit, a tape unit and a console. 6. Printed documents of suitable size and format are used for data collection; they are microfilmed” and the information contained therein is automatically scanned and recorded on digital magnetic tape, suitable for direct input to a digital electronic computer. 7. Some of the advantages offered by this system are stressed: they are speed and versatility in the scanning and transcribing process, flexibility in the size and format of the printed document and space saving in the storage of microfilmed documents. 8. FOSDIC system is being used in several research projects in progress; in one project reduction of clinical information is the aim, in other ones correlation between analog records such as the electrocardiogram with clinical information is pursued. Since the clinical information is collected from more than one hospital, uniformity in the collected documents is an important factor. 1. Die Notwendigkeit automatischer Dokumentationsverfahren in der medizinischen Forschung wird kurz gestreift. 2. Unter den häufiger angewandten Verfahren zur Sammlung, Speicherung und Analyse von Daten größeren Umfangs erlaubt die Lochkarte — obwohl für direkte Computereingabe geeignet — nur eine begrenzte Eingabegeschwindigkeit. 3. Ein gemeinsam vom “Bureau of the Census” und dem “Nation

关键词： automatic data processing MEDICINE

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Frequency Domain System Identification Toolbox for MATLAB: automatic processing - from data to Models

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IFAC Proceedings Volumes 2003年第16期36卷 1459-1463页

作者： István Kollár Rik Pintelon Yves Rolain Johan Schoukens Gyula Simon Budapest University of Technology and Economics Department of Measurement and Intormation Systems H-1521 Budapest Magyar tudósok krt. 2. Hungary Fax: +36 1 463-4112 Vrije Universiteit Brussel Dienst ELEC Belgium Pleinlaan 2 B-1050 Brussel Belgium fax: +322 629-2850

The Frequency Domain System Identification Toolbox for MATLAB is an effective tool for the identification of linear dynamic system models from measured data. Since the use of advanced system identification methods often requires a lot of programming work, the attention can be deflected from the modelling issues. Therefore, a Graphical User Interface (GUI) was developed which allows the experimenter to visually follow and control the data processing and modelling steps. However, for many users it is still desirable to obtain good models with as few decisions to be made as it is possible. Therefore, automatic processing steps have been added to the GUI. Identification can be done now in this toolbox with a minimum of user interactions in the graphics windows, and a reasonable model is returned, ready for control or physical analysis.

关键词： system identification frequency domain automatic data processing model order selection Fourier analysis transfer function graphical user interface GUI MATLAB

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