Coding and Classification of Geometric Models

1995 ◽  
Author(s):  
A. Z. Qamhiyah ◽  
B. Benhabib ◽  
R. D. Venter
Keyword(s):  
Coding System ◽  
Active Databases ◽  
Second Stage ◽  
Related Information ◽  
Design And Manufacturing ◽  
Efficient Retrieval ◽  
Cad Models ◽  
Geometrical Data ◽  
Object Models

Abstract For the efficient manipulation of information in support of design and manufacturing one would need to access large active databases. In this context, it is envisioned that 3-D object models must be easily retrieved for modification, or for simply reviewing related information. This paper addresses the development of a classification system for the efficient retrieval of 3-D object CAD models. For the design of a new object the user would access the database to locate the most similar object model and, if worthwhile, modify it to attain a model for the new object under consideration. The proposed classification procedure comprises three main stages: First, 3-D geometrical data, sufficient for classification, is determined and extracted from a selected model of the object, and a primary representation domain is determined. Contours, were selected as the basic descriptive units. Based on this selection, relationships defined by descriptor elements were established between (a) two solid contours; (b) a solid and a hollow contour; and, (c) two hollow contours. In order to facilitate the use of the descriptor elements, a simple alpha-numeric coding system was developed. In the second stage, the description of the object is mapped from the geometrical domain into a numerical-factor domain, where each contour is represented by a numerical value. In the final stage, a code is generated based on the factor-domain representation in the form of a Fourier signature. Classification is then carried out according to the similarity of the generated Fourier signatures.

System for Cross-Classification of Small Group Studies

1968 ◽  
Vol 23 (3_suppl) ◽  
pp. 1295-1304
Author(s):  
Richard Heslin ◽  
Dexter Dunphy
Keyword(s):  
Small Group ◽  
Classification System ◽  
Sufficient Information ◽  
Coding System ◽  
Similar System ◽  
Cross Classification

The article describes a method for placing information into a classification system that maximizes the flexibility in retrieval at a later time. It uses (1) a stack of edge-punched cards containing information of interest that has been punched according to (2) a coding system developed by the users. The authors have developed a classification system for the small-group field which is depicted and described in detail. It allows for coding a study on about 50 dimensions to (1) locate an article, (2) give an over-all description of the article, and (3) indicate the variables measured or discussed. Examples of uses and discussion of special features are provided to give the reader sufficient information to establish and use the system or a similar system for his own purposes.

A novel two-stage method of plant seedlings classification based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Tianhong Dai ◽  
Shijie Cong ◽  
Jianping Huang ◽  
Yanwen Zhang ◽  
Xinwang Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Technology ◽  
Two Stage ◽  
Second Stage ◽  
Stage Classification ◽  
Different Types ◽  
Two Stages ◽  
Plant Seedlings

In agricultural production, weed removal is an important part of crop cultivation, but inevitably, other plants compete with crops for nutrients. Only by identifying and removing weeds can the quality of the harvest be guaranteed. Therefore, the distinction between weeds and crops is particularly important. Recently, deep learning technology has also been applied to the field of botany, and achieved good results. Convolutional neural networks are widely used in deep learning because of their excellent classification effects. The purpose of this article is to find a new method of plant seedling classification. This method includes two stages: image segmentation and image classification. The first stage is to use the improved U-Net to segment the dataset, and the second stage is to use six classification networks to classify the seedlings of the segmented dataset. The dataset used for the experiment contained 12 different types of plants, namely, 3 crops and 9 weeds. The model was evaluated by the multi-class statistical analysis of accuracy, recall, precision, and F1-score. The results show that the two-stage classification method combining the improved U-Net segmentation network and the classification network was more conducive to the classification of plant seedlings, and the classification accuracy reaches 97.7%.

Validation of ICD-10 codes shows intracranial venous thrombosis incidence to be higher than previously reported

2018 ◽  
Vol 49 (1) ◽  
pp. 58-61 ◽  
Author(s):  
Joel D Handley ◽  
Hedley CA Emsley
Keyword(s):  
Positive Predictive Value ◽  
Cerebral Infarction ◽  
Venous Thrombosis ◽  
Cerebral Venous Thrombosis ◽  
International Classification Of Diseases ◽  
Coding System ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
In Pregnancy

Background: Intracranial venous thrombosis (ICVT) accounts for around 0.5% of all stroke cases. There have been no previously published studies of the International Classification of Diseases, Tenth Edition (ICD-10) validation for the identification of ICVT admissions in adults. Objective: The aims of this study were to validate and quantify the performance of the ICD-10 coding system for identifying cases of ICVT in adults and to derive an estimate of incidence. Method: Administrative data were collected for all patients admitted to a regional neurosciences centre over a 5-year period. We searched for the following ICD-10 codes at any position: G08.X (intracranial and intraspinal phlebitis and thrombophlebitis), I67.6 (non-pyogenic thrombosis of intracranial venous system), I63.6 (cerebral infarction due to cerebral venous thrombosis, non-pyogenic), O22.5 (cerebral venous thrombosis in pregnancy) and O87.3 (cerebral venous thrombosis in the puerperium). Results: Sixty-five admissions were identified by at least one of the relevant ICD-10 codes. The overall positive predictive value (PPV) for confirmed ICVT from all of the admissions combined was 92.3% (60 out of 65) with the results for each code as follows: G08.X 91.5% (54 of 59), O22.5 100% (4 of 4), I67.6 100% (1 of 1), I63.6 100% (1 of 1) and O87.3 100% (1 of 1). There were 40 unique cases of ICVT over a 5-year period giving an annual incidence of ICVT of 5 per million. Conclusions: All codes gave a high PPV. Implications for practice: As demonstrated in previous studies, the incidence of ICVT may be higher than previously thought.

scholarly journals Is it possible to register the ideas, concerns and expectations behind the reason for encounter as a means of classifying patient preferences with ICPC-2?

2017 ◽  
Vol 19 (01) ◽  
pp. 1-6 ◽  
Author(s):  
Diego Schrans ◽  
Pauline Boeckxstaens ◽  
An De Sutter ◽  
Sara Willems ◽  
Dirk Avonts ◽  
...  
Keyword(s):  
Primary Care ◽  
Patient Preferences ◽  
Time Frame ◽  
Specific Procedure ◽  
Reason For Encounter ◽  
Related Information ◽  
Almost All ◽  
Danger To Others ◽  
Do So

BackgroundFamily practice aims to recognize the health problems and needs expressed by the person rather than only focusing on the disease. Documenting person-related information will facilitate both the understanding and delivery of person-focused care.AimTo explore if the patients’ ideas, concerns and expectations (ICE) behind the reason for encounter (RFE) can be coded with the International Classification of Primary Care, version 2 (ICPC-2) and what kinds of codes are missing to be able to do so.MethodsIn total, 613 consultations were observed, and patients’ expressions of ICE were narratively recorded. These descriptions were consequently translated to ICPC codes by two researchers. Descriptions that could not be translated were qualitatively analysed in order to identify gaps in ICPC-2.ResultsIn all, 613 consultations yielded 672 ICE expressions. Within the 123 that could not be coded with ICPC-2, eight categories could be defined: concern about the duration/time frame; concern about the evolution/severity; concern of being contagious or a danger to others; patient has no concern, but others do; expects a confirmation of something; expects a solution for the symptoms without specification of what it should be; expects a specific procedure; and expects that something is not done.DiscussionAlthough many ICE can be registered with ICPC-2, adding eight new categories would capture almost all ICE.

scholarly journals Classification of CAD-Models Based on Graph Structures and Machine Learning

2021 ◽  
Vol 19 (3) ◽  
pp. 449-469
Author(s):  
Robin Roj ◽  
Maxim Sommer ◽  
Hans-Bernhard Woyand ◽  
Ralf Theiss ◽  
Peter Dueltgen
Keyword(s):  
Machine Learning ◽  
Graph Structures ◽  
Cad Models

scholarly journals Analysis and classification of tem¬perature measurements during melting and casting of alloys using neural networks

2020 ◽  
Vol 63 (10) ◽  
pp. 856-861
Author(s):  
A. V. Fedosov ◽  
G. V. Chumachenko
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Human Factor ◽  
High Efficiency ◽  
Thermal Conditions ◽  
Second Stage ◽  
Three Stages ◽  
Fully Automatic ◽  
Artificial Neural

The article considers the issues of monitoring the thermal conditions of alloys melting and casting at foundries. It is noted that the least reliable method is when the measurement and fixing the temperature is assigned to the worker. On the other hand, a fully automatic approach is not always available for small foundries. In this regard, the expediency of using an automated approach is shown, in which the measurement is assigned to the worker, and the values are recorded automatically. This method assumes implementation of an algorithm for automatic classification of temperature measurements based on an end-to-end array of data obtained in the production stream. The solving of this task is divided into three stages. Preparing of raw data for classification process is provided on the first stage. On the second stage, the task of measurement classification is solved by using neural network principles. Analysis of the results of the artificial neural network has shown its high efficiency and degree of their correspondence with the actual situation on the work site. It was also noted that the application of artificial neural networks principles makes the classification process flexible, due to the ability to easily supplement the process with new parameters and neurons. The final stage is analysis of the obtained results. Correctly performed data classification provides an opportunity not only to assess compliance with technological discipline at the site, but also to improve the process of identifying the causes of casting defects. Application of the proposed approach allows us to reduce the influence of human factor in the analysis of thermal conditions of alloys melting and casting with minimal costs for melting monitoring.

Clinical and psychopathological characteristics of sexual dysfunctions and non-psychotic mental disorders in women

2021 ◽  
Vol LIII (2) ◽  
pp. 42-45
Author(s):  
Alexander V. Martusenko ◽  
Elena O. Boyko ◽  
Olga G. Zaitseva
Keyword(s):  
Mental Disorders ◽  
Diagnostic Criteria ◽  
Inpatient Treatment ◽  
International Classification Of Diseases ◽  
Sexual Disorders ◽  
Sexual Dysfunctions ◽  
Second Stage ◽  
The Third ◽  
Classification Of Diseases

Aim. Study of clinical and psychopathological characteristics in women with sexual dysfunctions and mental disorders of the psychotic level. Material and methods. Clinical-psychopathological and sexological methods were used in the work. The results were processed using the licensed program Statistica 10.0 for Windows. At the first stage, 134 women (mean age 43.115.3 years) were examined who had inpatient treatment in the department for persons with non-psychotic mental disorders. At the second stage, the study involved 89 women (mean age 35.212.2 years), who were diagnosed with sexual dysfunctions. Results. Clinical and psychopathological indicators were studied, clinical, psychopathological and sexological analysis of sexual dysfunctions in women with non-psychotic mental disorders was carried out, taking into account the diagnostic criteria of the International Classification of Diseases-10. Three groups of patients were identified: (1) a group of women with sexual dysfunctions caused by non-psychotic mental disorders; (2) a group of patients in whom non-psychotic mental disorders were formed against the background of primary sexual pathology; (3) a group of patients in whom non-psychotic mental disorders accompany sexual dysfunctions. Conclusions. Sexual disorders in the studied groups are characterized by the predominance of libido disorder in the first group and the second group, as well as the predominance of dyspareunia in the third. There were no significant differences in the duration of sexual dysfunctions in the groups, which must be taken into account when choosing therapeutic and rehabilitation measures.

A Multi-Stage Framework for Classification of Unconstrained Image Data From Mobile Phones

2018 ◽  
pp. 2387-2401
Author(s):  
Shashank Mujumdar ◽  
Dror Porat ◽  
Nithya Rajamani ◽  
L.V. Subramaniam
Keyword(s):  
Image Classification ◽  
Mobile Phones ◽  
Real World ◽  
Image Data ◽  
Complex Environments ◽  
Second Stage ◽  
Classification Framework ◽  
Multi Stage ◽  
Efficient Detection

During the past decade, the number of mobile electronic devices equipped with cameras has increased dramatically and so has the number of real-world applications for image classification. In many of these applications, the image data is captured in an uncontrolled manner and in complex environments and conditions under which existing image classification techniques may not perform well. In this paper, the authors provide a detailed description of an efficient multi-stage image classification framework that is robust enough to remain effective also under challenging imaging conditions, and demonstrate its effectiveness in the context of classification of real-world images of dumpsters captured by mobile phones in the metropolitan city of Hyderabad. Their system is able to achieve accurate classification of the cleanliness state of the dumpsters by utilizing a multi-stage approach, where the first stage is the efficient detection of the dumpster and the second stage is the classification of its state. The authors provide a detailed analysis of the performance of the system as well as comprehensive experimental results on real-world image data.

scholarly journals The Design Process at Le Corbusier, Case of the Ronchamp Chapel

2019 ◽  
Vol 1 (1) ◽  
pp. 1275-1282
Author(s):  
Nadjat Outmoune ◽  
Abdelmalek Arrouf
Keyword(s):  
Empirical Studies ◽  
Data Gathering ◽  
Le Corbusier ◽  
Generic Model ◽  
Design Activity ◽  
Genetic Method ◽  
Second Stage ◽  
Three Stages ◽  
Last Stage

AbstractThis work falls within the empirical studies of design activity. Its project is to understand Le Corbusier's designing way and how does he work and structure his design processes. Doing so, it jumps above the descriptive and doctrinal knowledge of objects produced by “Le Corbusier” to study the actions and mechanisms that led to them.To achieve its aim, this study uses genetic method, developed by P.M. De Biasi of literary origin, this research method is made of three stages. The first one, which is of empirical nature, is one of data gathering. It leads to the establishment of genesis tables and to the classification of the all collected documents. The second stage, makes the analysis of all the collected documents one by one. It allows the restitution of the creative process of one projects “Le Corbusier” which is “la chapelle de Notre Dame du haut de Ronchamp”. The last stage is finally that define the design processe of the this project. The results show that the design activity of “Le Corbuiser” obeys the overall logic of one generic model which may be called his individual designing style.

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