Conceptual Constructive Models and Abstraction-as-Aggregation

Philosophia ◽  
2020 ◽  
Author(s):  
Sim-Hui Tee
Keyword(s):  
Constructive Models

Implementation of Shape Memory Alloys as Active Elements in Injuries Recuperative Equipment

2014 ◽  
Vol 657 ◽  
pp. 392-396
Author(s):  
Adela Ursanu Dragoş ◽  
Sergiu Stanciu ◽  
Nicanor Cimpoeşu ◽  
Mihai Dumitru ◽  
Ciprian Paraschiv
Keyword(s):  
Shape Memory Alloys ◽  
Shape Memory ◽  
Spinal Cord Injuries ◽  
Good Alternative ◽  
Careful Consideration ◽  
Damping Capacity ◽  
Loss Of Function ◽  
User Friendliness ◽  
Wide Range ◽  
Constructive Models

Entire or partial loss of function in the shoulder, elbow or wrist represent an increasingly common ailment connected to a wide range of injuries or other conditions including sports, occupational, spinal cord injuries or strokes. A general treatment of these problems relies on physiotherapy procedures. An increasing number of metallic materials are continuously being developed to expect the requirements for different engineering applications including biomedical field. Few constructive models that can involve intelligent materials are analyzed to establish the advantages in usage of shape memory elements mechanical implementation. The shape memory effect, superelasticity and damping capacity are unique characteristics at metallic alloys which demand careful consideration in both design and manufacturing processes. The actual rehabilitation systems can be improved using smart elements in motorized equipments like robotic systems. Shape memory alloys, especially NiTi (nitinol), represent a very good alternative for actuation in equipments with moving dispositive based on very good actuation properties, low mass, small size, safety and user friendliness. In this article the actuation and the force characteristics were analyzed to investigate a relationship between the bending angle and the actuation real value.

scholarly journals Transformación de las fortificaciones en el norte del Camino Real de Tierra Adentro en México: el caso del presidio de El Pasaje

2018 ◽  
Vol 4 (8) ◽  
pp. 97
Author(s):  
Roberto Carrillo Acosta ◽  
Irma Castillo Ruiz
Keyword(s):  
New Spain ◽  
Camino Real ◽  
Historical Processes ◽  
Constructive Models ◽  
Northern New Spain

RESUMEN Las investigaciones sobre las fortificaciones en el norte de Nueva España son escasas. Además, aunque hay escritos aislados sobre algunas fortificaciones, no se han realizado estudios que de manera integral hagan un seguimiento de cada recinto fortificado. El Camino Real de Tierra Adentro, motivo de este escrito, alberga un inmenso testimonio de los diversos procesos históricos que en su tendido se forjaron. Dicho testimonio se traduce en una gama de bienes patrimoniales que fueron construidos individual y colectivamente a lo largo de tres siglos. Su transformación da cuenta del conocimiento heredado de técnicas o modelos constructivos, y de estrategias de ocupación, lo cual le imprime un sentido de permanencia en el tiempo.PALABRAS CLAVESfortificaciones, Camino Real de Tierra Adentro, presidio de El PasajeABSTRACTInvestigations about the fortifications of northern New Spain are scarce. Besides, even though there are isolated writings on some types of fortification, no studies have been carried out that comprehensively track each fortified enclosure. The Camino Real de Tierra Adentro, the reason for this article, has left us an immense testimony of various historical processes forged in it. This testimony translates into a range of patrimonial assets that were built individually and collectively over the course of three centuries. Its transformation gives an account of the inherited knowledge of techniques or constructive models, and of the occupation strategies, which impress on it a sense of permanence in time.KEYWORDSfortifications, Camino Real de Tierra Adentro, El Pasaje prison

THE USE OF 3D CONSTRUCTIVE MODELS AND PUBLIC PRESENTATIONS AS A TEACHING METHODOLOGY IN THE SUBJECT “CONSTRUCTION OF NON-STRUCTURAL ELEMENTS”

2017 ◽  
Author(s):  
Vicente Raul Pérez-Sánchez ◽  
Maria Francisca Céspedes-López ◽  
Raul Tomas Mora-García ◽  
Beatriz Piedecausa-García ◽  
Juan Carlos Pérez-Sánchez
Keyword(s):  
Teaching Methodology ◽  
Structural Elements ◽  
Constructive Models ◽  
The Subject

Electrocardiogram stream level correlated patterns as features to classify heartbeats for arrhythmia prediction

2020 ◽  
Vol 54 (5) ◽  
pp. 685-701
Author(s):  
Fuad Ali Mohammed Al-Yarimi ◽  
Nabil Mohammed Ali Munassar ◽  
Fahd N. Al-Wesabi
Keyword(s):  
Supervised Learning ◽  
Computation Time ◽  
Classification Error ◽  
Clinical Practices ◽  
Content Type ◽  
A Value ◽  
Correlated Patterns ◽  
Constructive Models ◽  
Minimum Classification Error ◽  
Supervised Learning And Classification

PurposeDigital computing and machine learning-driven predictive analysis in the diagnosis of non-communicable diseases are gaining significance. Globally many research studies are focusing on developing comprehensive models for such detection. Categorically in the proposed diagnosis for arrhythmia, which is a critical diagnosis to prevent cardiac-related deaths, any constructive models can be a value proposition. In this study, the focus is on developing a holistic system that predicts the scope of arrhythmia from the given electrocardiogram report. The proposed method is using the sequential patterns of the electrocardiogram elements as features.Design/methodology/approachConsidering the decision accuracy of the contemporary classification methods, which is not adequate to use in clinical practices, this manuscript coined a new dimension of features to perform supervised learning and classification using the AdaBoost classifier. The proposed method has titled “Electrocardiogram stream level correlated patterns as features (ESCPFs),” which takes electrocardiograms (ECGs) signal streams as input records to perform supervised learning-based classification to detect the arrhythmia scope in given ECG record.FindingsFrom the results and comparative reports generated for the study, it is evident that the model is performing with higher accuracy compared to some of the earlier models. However, focusing on the emerging solutions and technologies, if the accuracy factors for the model can be improved, it can lead to compelling predictions and accurate outcome from the process.Originality/valueThe authors represent complete automatic and rapid arrhythmia as classifier, which could be applied online and examine long ECG records sequence efficiently. By releasing the needs for extraction of features, the authors project an application based on raw signals, one result to heart rates date, whose objective is to lessen computation time when attaining minimum classification error outcomes.

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