CAD System For Design Research Articles

Innovation of Clothing Design Element Extraction and CAD System Based on Computer Vision and Multimedia Analysis Technology

Innovation of Clothing Design Element Extraction and CAD System Based on Computer Vision and Multimedia Analysis Technology

Data Mining and Pattern Recognition of the Integration of Art Design Style and CAD System

Data Mining and Pattern Recognition of the Integration of Art Design Style and CAD System

Intelligent Pattern Identification and Design of Garment CAD System Based on Computer Vision and Neural Networks

Intelligent Pattern Identification and Design of Garment CAD System Based on Computer Vision and Neural Networks

Application of Artistic Design CAD System Integrating Neural Network and Computer Vision Algorithm

Application of Artistic Design CAD System Integrating Neural Network and Computer Vision Algorithm

Development of a voxel-based CAD system for upstream life cycle design and its application to LCA

The comprehensive design of product life cycles is a promising approach to realizing circular manufacturing systems. However, design support systems that can be used for the life cycle design during upstream stages have not been established. The purpose of this study is to develop an easy-to-use CAD system for the early stages of product life cycle design. The system supports creating a product model in voxel format and a life cycle process model as a process network in an integrated manner. The voxel models make it easy to create the rough shape of products and quantify the mass of each component for LCA. An LCD monitor's life cycle was designed using the proposed CAD tool. Fourteen design candidates were created and LCA was performed to compare the designs from the perspective of life cycle environmental impact. Through the case study, we confirmed that the tool is a practical system that can quantitatively examine what design improvements contributed to the reduction of environmental impact at an early design stage before creating detailed 3D-CAD models.

CAD System Design for Pituitary Tumor Classification based on Transfer Learning Technique.

A brain tumor is an asymmetrical expansion by cells inevitably emulating amid them. Image processing is a vibrant research area where the handing out of the image in the medical field is an exceedingly tricky field. In this paper, an expert algorithm is suggested for the detection of pituitary brain tumors from MR images. The preprocessing techniques (smoothing, edge detection, filtering) and segmentation techniques (watershed) are applied to the online data set. The transfer learning technique is used as a classifier whose performance is measured in terms of classification accuracy. Resnet 50, Inception V3VGG16, and VGG19 models are used as classification algorithms. The proposed model is validated using different machine learning techniques considering hybrid features. 96% accuracy was obtained employing the Inception V3 model & 95% accuracy was attained using hybrid GLDS and GLCM features employing Support Vector Machine algorithm while 93% was attained using Probabilistic Neural Network and k Nearest Neighbor techniques. Computer-aided systems gave much faster and more accurate results than image processing techniques.1.0% accuracy improvement was observed while using Inception V3 over GLDS + GLCM + SVM and 2.1% accuracy improvement using GLDS + GLCM + SVM over GLDS + GLCM + kNN.

Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images

Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images

РАЗРАБОТКА И ВЕРИФИКАЦИЯ ПОВЕДЕНЧЕСКИХ МОДЕЛЕЙ ЛИНЕЙНОГО СТАБИЛИЗАТОРА ОТРИЦАТЕЛЬНОГО НАПРЯЖЕНИЯ MC79L И ЕГО ФУНКЦИОНАЛЬНЫХ АНАЛОГОВ

The aim of the study is to develop and verify behavioural models of a linear negative voltage regulator. This paper presents the process of building behavioural models of a linear negative voltage regulator with 3.3 V fixed value of the output voltage and with an adjustable negative output voltage from the reference voltage value of 1.25 V to 20 V. As a prototype model, the MC79L stabilizer manufactured by OnSemiconductor and its closest functional analogues LM337L, LT1964, LT3032 are selected. Behavioural models of linear stabilizers are implemented in the SPICE language based on functional blocks that fulfil mathematical dependencies and constraints. Simulating integrated circuits is carried out in the time domain and in static modes using the OrCad end-to-end simulation software package. The simulation verification confirms the data result adequacy presented in the chip manufacturers’ technical specifications. The proposed behavioural model of a linear stabilizer can be applied in modern specialized CAD systems for circuit design and simulation in developing, designing and studying power supply devices for radio-electronic and industrial equipment.

Design and Development of Interior Design CAD System Based on Class Definition

Design and Development of Interior Design CAD System Based on Class Definition

Design and Optimization of CAD System for Building Construction Drawings based on BIM

Design and Optimization of CAD System for Building Construction Drawings based on BIM

An Approach to Logical Compatibility Determination for Solution Principles in Morphological Matrix-Based Conceptual Design

Morphological matrix-based conceptual design has been proven to enable the generation of high-quantity, variety, and novelty concepts. Indeed, many studies have proposed methods for enhancing it. However, logical relations for determining the compatibility of solution principles (SPs) in combinatorial solution chain is yet to be established in the literature. This study attempts to develop a logical relation for determining the compatibility of SPs in solution variants chain. The features of the interaction boundary of each solution principle were characterised and vectorially numerated for onward matching of adjacent SPs in a combinatorial solution chain to determine compatibility. The consistency of the compatibility determinant (CD) was tested on engineering designer students. It was found that the students could determine the CD with excellent consistency. Besides, the applicability of logical relation for determining the feasibility of solution variants was tested and found applicable in many trials. Despite the limitation of the study, the results indicate that the logical compatibility determinant is consistent and applicable for the complete exploration of the morphological matrix design space. Therefore, this study provides a foundation for the development of a reliable CAD system for conceptual design.

An IoMT-Based Melanoma Lesion Segmentation Using Conditional Generative Adversarial Networks

Currently, Internet of medical things-based technologies provide a foundation for remote data collection and medical assistance for various diseases. Along with developments in computer vision, the application of Artificial Intelligence and Deep Learning in IOMT devices aids in the design of effective CAD systems for various diseases such as melanoma cancer even in the absence of experts. However, accurate segmentation of melanoma skin lesions from images by CAD systems is necessary to carry out an effective diagnosis. Nevertheless, the visual similarity between normal and melanoma lesions is very high, which leads to less accuracy of various traditional, parametric, and deep learning-based methods. Hence, as a solution to the challenge of accurate segmentation, we propose an advanced generative deep learning model called the Conditional Generative Adversarial Network (cGAN) for lesion segmentation. In the suggested technique, the generation of segmented images is conditional on dermoscopic images of skin lesions to generate accurate segmentation. We assessed the proposed model using three distinct datasets including DermQuest, DermIS, and ISCI2016, and attained optimal segmentation results of 99%, 97%, and 95% performance accuracy, respectively.

Разработка и верификация поведенческих моделей линейных стабилизаторов напряжения с защитой от короткого замыкания и перегрузки в рабочем цикле

The object of development are behavioral models of a linear negative voltage regulator in two modifications. Linear voltage regulators manufactured by KREMNIY EL GROUP JSC were chosen as prototypes for the models. IC 5348EM035 with a fixed output negative voltage value of 5 V, IC 5348EP035 with an adjustable output negative voltage value of 1.25V to 14.5V and their functional analogue IC UCC284DP manufactured by Texas Instruments were used. These are low voltage drop with duty cycle short circuit and overload protection regulators. Behavioral models are implemented in SPICE language through converting netlists of prototype equivalent circuits. Equivalent circuits on the regulators IC functional circuits were made, taking into account a typical switching circuit. Equivalent circuits of regulators are implemented on the standard mathematical blocks, limiters, dependent sources, controlled switches and passive elements. Parameter limits are written inside controlled sources by mathematical relations. When verifying behavioral models, it was established that the results of modeling the regulators operation correspond to the data in the technical descriptions of manufacturers. The verification was carried in typical switching circuits with given input electrical parameters. In present study the results of modeling the main characteristics of microcircuits are described: input and output voltages, voltage drop across the regulator and timing diagrams of the main modes of operation of the IC, including the mode of duty cycle short circuit and overload protection regulators. The developed and verified behavioral models of linear voltage regulators 5348EM035 and 5348EP035 and their functional analogue UCC284DP will be useful in the engineering, design and study of the characteristics of power supply devices for electronic and industrial equipment. These SPICE models are applicable in modern specialized CAD systems for circuit design and simulation.

Research on CAD system design of intelligent clothing accessories based on interactive network

Clothing CAD technology is a bridge that combines clothing design and high technology, and is one of the important fields of computer science and technology in the art kingdom. The style-based intelligent clothing style structure design system studied in this paper is mainly for users or design lovers who are not major in clothing design, so that they can realize the intelligent design of a certain style and style series in the friendly human-computer interaction, thereby replacing the Traditional designer hand creation process. This paper presents the system architecture, designs and completes the interactive interface, analyzes and implements the automatic splicing and adjustment functions of style components provided by the system, and explores and implements style-based style retrieval. Through the overall analysis of the intelligent clothing style structure design system, this paper develops a very good clothing design interface with VC. The author innovatively proposes the idea of “primitive structure” and “function simulation”, and realizes the process of using computer to draw clothing accessories, so that the generated accessories can be accurately fitted along the given curve during clothing design, and provides the interface parameters make clothing accessories adjustable and controllable, which better realizes intelligence and facilitates the use of the client.

A cad system design based on HybridMultiscale convolutional Mantaray network for pneumonia diagnosis.

Pneumonia is one of the diseases that people may encounter in any period of their lives. Recently, researches and developers all around the world are focussing on deep learning and image processing strategies to quicken the pneumonia diagnosis as those strategies are capable of processing numerous X-ray and computed tomography (CT) images. Clinicians need more time and appropriate experiences for making a diagnosis. Hence, a precise, reckless, and less expensive tool to detect pneumonia is necessary. Thus, this research focuses on classifying the pneumonia chest X-ray images by proposing a very efficient stacked approach to improve the image quality and hybridmultiscale convolutional mantaray feature extraction network model with high accuracy. The input dataset is restructured with the sake of a hybrid fuzzy colored and stacking approach. Then the deep feature extraction stage is processed with the aid of stacking dataset by hybrid multiscale feature extraction unit to extract multiple features. Also, the features and network size are diminished by the self-attention module (SAM) based convolutional neural network (CNN). In addition to this, the error in the proposed network model will get reduced with the aid of adaptivemantaray foraging optimization (AMRFO) approach. Finally, the support vector regression (SVR) is suggested to classify the presence of pneumonia. The proposed module has been compared with existing technique to prove the overall efficiency of the system. The huge collection of chest X-ray images from the kaggle dataset was emphasized to validate the proposed work. The experimental results reveal an outstanding performance of accuracy (97%), precision (95%) and f-score (96%) progressively.

CAD System for Liver Diseases using Histological and Imaging features

The current work for characterization of liver disease has been carried out using histological and imaging data. The BUPA liver disorders dataset created by University of California, Irvine has been considered as histological data. The ultrasound images of hepatocellular carcinoma (HCC) and Hemangioma (HEM) lesions were taken from ultrasoundcases.info. Laws ‘texture features were extracted from these images using Laws’ masks of length 3. In CAD system design 1, histological classification of liver diseases has been carried out using SVM classifier. In CAD system design 2, liver disease classification has been carried out using imaging features.

Intelligent Analysis of Computer-Aided Garment Design CAD Based on Virtual Reality Model for Surplus Fabric Removal and Reuse without Segmentation of Cutting Pieces

For the purpose of improving the efficiency of garment design, the computer-aided garment design virtual reality (VR) model for surplus fabric removal and reuse without segmentation of cutting pieces is analyzed in this paper to provide the architecture of the computer-aided garment design CAD system. The form of dividing the garment into multiple types of nonsegmented pieces is adopted so that each nonsegmented piece stands for a complete design element unit. Based on this structure, the computer analysis of garment design based on CAD can be connected at a deeper level, which will not only improve the design efficiency of new garments but also reduce the design time at the client terminal and enhance the quality of the design. Through the experimental operation of prototypes, it is verified that the intelligent system proposed in this paper can implement the design of prototypes quickly and effectively.

Analysis of Polygonal Computer Model Parameters and Influence on Fabric Drape Simulation.

Contemporary CAD systems enable 3D clothing simulation for the purpose of predicting the appearance and behavior of conventional and intelligent clothing in real conditions. The physical and mechanical properties of the fabric and the simulation parameters play an important role in this issue. The paper presents an analysis of the parameters of the polygonal computer model that affect fabric drape simulation. Experimental research on physical and mechanical properties were performed for nine fabrics. For this purpose, the values of the parameters for the tensile, bending, shear, and compression properties were determined at low loads, while the complex deformations were analyzed using Cusick drape meter devices. The fabric drape simulations were performed using the 2D/3D CAD system for a computer clothing design on a disk model, corresponding to real testing on the drape tester in order to allow a correlation analysis between the values of drape parameters of the simulated fabrics and the realistically measured values for each fabric. Each fabric was simulated as a polygonal model with a variable related to the side length of the polygon to analyze the influence of the polygon size, i.e., mesh density, on the model behavior in the simulation. Based on the simulated fabric drape shape, the values of the areas within the curves necessary to calculate the drape coefficients of the simulated fabrics were determined in the program for 3D modelling. The results were statistically processed and correlations between the values of the drape coefficients and the optimal parameters for simulating certain physical and mechanical properties of the fabric were determined. The results showed that the mesh density of the polygonal model is an important parameter for the simulation results.

Optimization of CAD System for Ceramic Decoration Pattern Design Based on Virtual Reality Technology

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

Calculation Model of Plane Design CAD System of Highway Intersection

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.