scholarly journals Defect characterization, diagnosis and repair of wood flooring based on a field survey

2018 ◽  
Vol 68 (329) ◽  
pp. 149 ◽  
Author(s):  
A. Delgado ◽  
C. Pereira ◽  
J. De Brito ◽  
J. D. Silvestre
Keyword(s):  
Expert System ◽  
Field Survey ◽  
Diagnostic Methods ◽  
Defect Characterization ◽  
Statistical Characterization ◽  
Affected Area ◽  
Wood Flooring ◽  
Repair Techniques

A statistical characterization of defects in 35 buildings and 98 wood floorings (softwood and hardwood floors, and laminated and engineered wood floors), their diagnostic methods and repair solutions is presented. An expert system for inspecting wood flooring, comprising the classification of defects, their most probable causes, diagnostic methods and repair techniques, was used. Results include age, affected area, severity and frequency of defects and their main causes, as well as appropriate diagnostic methods, preventive and curative repair solutions most prescribed and the most significant correlations. Scratches were detected in more than five sixths of the sample, highly associated with exterior mechanical actions, and with an inadequate finishing layer. Wearing of the finishing layer was detected in a quarter of the inspected floorings. Accordingly, the application of a suitable finishing layer and, alternatively, its replacement are the most prescribed repair techniques.

scholarly journals DIAGNOSIS AND REPAIR OF GYPSUM PLASTER COATINGS: STATISTICAL CHARACTERIZATION AND LESSONS LEARNED FROM A FIELD SURVEY

2014 ◽  
Vol 20 (4) ◽  
pp. 485-496 ◽  
Author(s):  
Ana Pereira ◽  
Filipe Palha ◽  
Jorge de Brito ◽  
José Dinis Silvestre
Keyword(s):  
Field Survey ◽  
Common Knowledge ◽  
Lessons Learned ◽  
Statistical Characterization ◽  
Partition Walls ◽  
Gypsum Plaster ◽  
Detailed Statistical Analysis ◽  
Quantitative Indicators ◽  
Pathological Situation

This paper provides the statistical characterization of the pathological situation of 119 gypsum plaster coatings applied to partition walls and ceilings (inner gypsum plasters – IGP), the diagnosis methods that can be used to characterize the defects and confirm their causes, and the most suitable repair solutions. The results presented in this paper were achieved via the use of an expert system developed by the authors in an extensive inspection programme covering 23 buildings. A comprehensive set of charts and their detailed statistical analysis describe the results achieved, including the characteristics (temporal, spatial and severity) and frequency of the defects in the sample and the main causes of their occurrence in walls and ceilings. The most appropriate diagnosis methods, preventive measures and repair solutions prescribed for these defects in the sample are also analyzed and the most significant correlations presented. Even though in some instances the pathological situation of IGP is common knowledge, this time it has been characterized via quantitative indicators and using a statistically significant sample, which means that important lessons can be learned.

Increasing reliability of defect characterization of SG tubings using a combination of signal processing and expert system

1992 ◽  
Vol 25 (1) ◽  
pp. 46
Author(s):  
B. Benoist ◽  
P. Morizet ◽  
P. Gaillard ◽  
B. David ◽  
M. Pigeon
Keyword(s):  
Signal Processing ◽  
Expert System ◽  
Defect Characterization

scholarly journals Hypothetical-inductive method as a basis information and training expert system in cases of death from injury with a sharp object

2016 ◽  
pp. 16-21
Author(s):  
Volodymyr Zosimenko ◽  
Hanna Zolnikova
Keyword(s):  
Expert System ◽  
Educational Process ◽  
Inductive Method ◽  
Sharp Object ◽  
Statistical Confidence ◽  
Bayes Formula ◽  
The Future ◽  
And Training

The article describes the approaches to the construction of educational information and expert system classification of the offender, as a tool for the analysis of murders with sharp objects. We have installed and tested an algorithm sequential diagnostic procedure based on the use of Bayes’ formula, as one of the possible technologies including Data Mining. In the future it will be used for the construction of information and training expert system, which is known for filling elements of criminalistics characterization of crime, will be obtained characteristics (sex, age) of the criminal with a certain statistical confidence. This information and training expert system will be developed in the PHP programming language with the user interface, and will be used in the educational process at the department of forensic medicine, and in the future and make a difference in the practical work of the forensic experts, especially during examinations in cases of violent death with a sharp object.

The Accuracy of ACR TI-RADS Classification of Neck Ultrasound as a First-Line Diagnostic Approach for Thyroid Neoplasms in Pediatric Patients: A Retrospective Study

2018 ◽  
Vol 5 (1) ◽  
pp. 13-23
Author(s):  
Nikolai S. Grachev ◽  
Elena V. Feoktistova ◽  
Igor N. Vorozhtsov ◽  
Natalia V. Babaskina ◽  
Ekaterina Yu. Iaremenko ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Pediatric Patients ◽  
Thyroid Neoplasms ◽  
Diagnostic Methods ◽  
Diagnostic Approach ◽  
First Line ◽  
Neck Ultrasound

Background.Ultrasound (US)-guided fine-needle aspiration biopsy (FNAB) is the gold standard in diagnosing the pathological nature of undetermined thyroid nodules. However, in some instances limitations and shortcomings arise, making it insufficient for determining a specific diagnosis.Objective.Our aim was to evaluate the effectiveness of ACR TI-RADS classification of neck ultrasound as a first-line diagnostic approach for thyroid neoplasms in pediatric patients.Methods.A retrospective analysis was made of FNA and US protocols in 70 patients who underwent the examination and treatment at Dmitry Rogachev National Research Center between January 2012 and August 2017. In the retrospective series 70% (49/70) of patients undergone FNA and 43% (30/70) of them undergone repeated FNA. All US protocols were interpreted according to ACR TI-RADS system by the two independent experts. The clinical judgment was assessed using the concordance test and the reliability of preoperative diagnostic methods was analized.Results.According to histologic examination protocols, benign nodules reported greater multimorbidity 29% (20/70), compared with thyroid cancer 17% (12/70), complicating FNA procedure. A statistically significant predictor of thyroid cancer with a tumor size ACR TI-RADS showed a significant advantage of ACR TI-RADS due to higher sensitivity (97.6 vs 60%), specificity (78.6 vs 53.8%), positive predictive value (87.2 vs 71.4%), and negative predictive value (95.7 vs 41.2%). Concordance on the interpreted US protocols according to ACR TI-RADS classification between two experts was high, excluding accidental coincidence.Conclusion.The data support the feasibility of US corresponding to the ACR TI-RADS classification as a first-line diagnostic approach for thyroid neoplasm reducing the number of unnecessary biopsies for thyroid nodules.

scholarly journals Morphological and Ultrastructural Characterization of Hemocytes in an Insect Model, the Hematophagous Dipetalogaster maxima (Hemiptera: Reduviidae)

Insects ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 640
Author(s):  
Natalia R. Moyetta ◽  
Fabián O. Ramos ◽  
Jimena Leyria ◽  
Lilián E. Canavoso ◽  
Leonardo L. Fruttero
Keyword(s):  
Cell Biology ◽  
Cell Types ◽  
Transmission Electron ◽  
Ultrastructural Characterization ◽  
Current Classification ◽  
Contrast Microscopy ◽  
First Time ◽  
Controversial Aspect

Hemocytes, the cells present in the hemolymph of insects and other invertebrates, perform several physiological functions, including innate immunity. The current classification of hemocyte types is based mostly on morphological features; however, divergences have emerged among specialists in triatomines, the insect vectors of Chagas’ disease (Hemiptera: Reduviidae). Here, we have combined technical approaches in order to characterize the hemocytes from fifth instar nymphs of the triatomine Dipetalogaster maxima. Moreover, in this work we describe, for the first time, the ultrastructural features of D. maxima hemocytes. Using phase contrast microscopy of fresh preparations, five hemocyte populations were identified and further characterized by immunofluorescence, flow cytometry and transmission electron microscopy. The plasmatocytes and the granulocytes were the most abundant cell types, although prohemocytes, adipohemocytes and oenocytes were also found. This work sheds light on a controversial aspect of triatomine cell biology and physiology setting the basis for future in-depth studies directed to address hemocyte classification using non-microscopy-based markers.

scholarly journals Critical Review of EMC Standards for the Measurement of Radiated Electromagnetic Emissions from Transit Line and Rolling Stock

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 759
Author(s):  
Andrea Mariscotti
Keyword(s):  
Time Distribution ◽  
Communication Systems ◽  
Electromagnetic Compatibility ◽  
Transportation Systems ◽  
Operating Conditions ◽  
Rolling Stock ◽  
Intrinsic Variability ◽  
Statistical Characterization ◽  
Electromagnetic Emissions

Accurate and comprehensive methods for the assessment of radiated electromagnetic emissions in modern electric transportation systems are a necessity. The characteristics and susceptibility of modern victim signaling and communication radio services, operating within and outside the right-of-way, require an update of the measurement methods integrating or replacing the swept frequency technique with time domain approaches. Applicable standards are the EN 50121 (equivalent to the IEC 62236) and Urban Mass Transport Association (UMTA) with additional specifications from project contracts. This work discusses the standardized methods and settings, and the representative operating conditions, highlighting areas where improvements are possible and opportune (statistical characterization of measurement results, identification and distinction of emissions and line resonances, and narrowband and broadband phenomena). In particular for the Electromagnetic Compatibility (EMC) assessment with new Digital Communication Systems, the characterization of time distribution of spectral properties is discussed, e.g., by means of Amplitude Probability Distribution and including time distribution information. The problem of determination of site and setup uncertainty and repeatability is also discussed, observing on one hand the lack of clear indications in standards and, on the other hand, the non-ideality and intrinsic variability of measurement conditions (e.g., rolling stock operating conditions, synchronization issues, and electric arc intermittence).

scholarly journals Semi-automated regional classification of the style of activity of slow rock-slope deformations using PS InSAR and SqueeSAR velocity data

Landslides ◽  
2021 ◽  
Author(s):  
Chiara Crippa ◽  
Elena Valbuzzi ◽  
Paolo Frattini ◽  
Giovanni B. Crosta ◽  
Margherita C. Spreafico ◽  
...  
Keyword(s):  
Rock Slope ◽  
Progressive Failure ◽  
Principal Component ◽  
Cost Effective ◽  
Displacement Rate ◽  
Machine Learning Classification ◽  
Management Perspective ◽  
Alpine Environments

AbstractLarge slow rock-slope deformations, including deep-seated gravitational slope deformations and large landslides, are widespread in alpine environments. They develop over thousands of years by progressive failure, resulting in slow movements that impact infrastructures and can eventually evolve into catastrophic rockslides. A robust characterization of their style of activity is thus required in a risk management perspective. We combine an original inventory of slow rock-slope deformations with different PS-InSAR and SqueeSAR datasets to develop a novel, semi-automated approach to characterize and classify 208 slow rock-slope deformations in Lombardia (Italian Central Alps) based on their displacement rate, kinematics, heterogeneity and morphometric expression. Through a peak analysis of displacement rate distributions, we characterize the segmentation of mapped landslides and highlight the occurrence of nested sectors with differential activity and displacement rates. Combining 2D decomposition of InSAR velocity vectors and machine learning classification, we develop an automatic approach to characterize the kinematics of each landslide. Then, we sequentially combine principal component and K-medoids cluster analyses to identify groups of slow rock-slope deformations with consistent styles of activity. Our methodology is readily applicable to different landslide datasets and provides an objective and cost-effective support to land planning and the prioritization of local-scale studies aimed at granting safety and infrastructure integrity.

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