Confidence, Visibility and Performance: the Effects of Shared Information in Computer-aided Hotel Management

2018 ◽  
pp. 17-29
Keyword(s):  
Hotel Management ◽  
Computer Aided ◽  
Shared Information ◽  
And Performance

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

Experimental and computer aided solubility quantification of diverse lignins and performance prediction

2021 ◽  
Vol 57 (14) ◽  
pp. 1782-1785
Author(s):  
Olumoye Ajao ◽  
Marzouk Benali ◽  
Naïma El Mehdi
Keyword(s):  
Performance Prediction ◽  
Solvent Fractionation ◽  
Computer Aided ◽  
And Performance

New insights on the variability of solubility elucidated for diverse lignins, quantification thereby makes it possible to predict performance for solvent fractionation processes and polymers formulation.

Improving creative self-efficacy and performance through computer-aided design application

2019 ◽  
Vol 31 ◽  
pp. 103-111 ◽  
Author(s):  
Yu-shan Chang ◽  
Mavis Yi-Ching Chen ◽  
Meng-Jung Chuang ◽  
Chia-hui Chou
Keyword(s):  
Self Efficacy ◽  
Computer Aided Design ◽  
Computer Aided ◽  
And Performance ◽  
Creative Self ◽  
Aided Design

VESPER: Visual Exploration of Similarity and Performance Metrics for Computer-Aided Design Repositories

2018 ◽  
Author(s):  
Devarajan Ramanujan ◽  
William Z. Bernstein
Keyword(s):  
Visual Analytics ◽  
Computer Aided Design ◽  
Performance Metrics ◽  
External Validation ◽  
Visual Exploration ◽  
Similarity Metrics ◽  
Report Generation ◽  
Computer Aided ◽  
And Performance ◽  
Aided Design

VESPER (Visual Exploration of Similarity and PERformance) is a visual analytics system for exploring similarity metrics and performance metrics derived from computer-aided design (CAD) repositories. It consists of (1) a data processing module that allows analysts to input custom similarity metrics and performance metrics, (2) a visualization module that facilitates navigation of the design spaces through coordinated, interactive visualizations, and (3) a report generation module that allows analysts to export lifecycle data of selected repository items as well as the input metrics for further external validation. In this paper, we discuss the need, design rationale, and implementation details for VESPER. We then apply VESPER to (1) sustainability-focused exploration of parts, and (2) exploration of tool wear and surface roughness in machined parts.

Artificially Intelligent Physiotherapy

2021 ◽  
Vol 10 (1) ◽  
pp. 77-88
Author(s):  
Sachin Pandurang Godse ◽  
Shalini Singh ◽  
Sonal Khule ◽  
Shubham Chandrakant Wakhare ◽  
Vedant Yadav
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Range Of Motion ◽  
Real Time ◽  
Severe Pain ◽  
User Performance ◽  
Computer Aided ◽  
To Come ◽  
And Performance ◽  
At Home

Physiotherapy is the trending medication for curing bone-related injuries and pain. In many cases, due to sudden jerks or accidents, the patient might suffer from severe pain. Therefore, it is the miracle medication for curing patients. The aim here is to build a framework using artificial intelligence and machine learning for providing patients with a digitalized system for physiotherapy. Even though various computer-aided assessment of physiotherapy rehabilitation exist, recent approaches for computer-aided monitoring and performance lack versatility and robustness. In the authors' approach is to come up with proposition of an application which will record patient physiotherapy exercises and also provide personalized advice based on user performance for refinement of therapy. By using OpenPose Library, the system will detect angle between the joints, and depending upon the range of motion, it will guide patients in accomplishing physiotherapy at home. It will also suggest to patients different physio-exercises. With the help of OpenPose, it is possible to render patient images or real-time video.

CAE in Automotive Engine Mount Development

2010 ◽  
Author(s):  
Min Lu
Keyword(s):  
Computer Aided Engineering ◽  
Element Analysis ◽  
Automotive Engine ◽  
Performance Requirements ◽  
Mass Moment ◽  
Computer Aided ◽  
Engine Mount ◽  
Roll Axis ◽  
Development Approach ◽  
And Performance

The desire for more quiet and comfortable cars from consumers requires better engineering in the process of engine mount development. The fact that no physical vehicle exists at the time when the project launches, the design guidance relying on computer-aided engineering is essential. This paper discusses an engine mount development approach relying on computer-aided engineering with the assumption that the initial powertrain data, which include the powertrain mass, mass center, mass moment of inertia and engine power, are available. The mount placement strategy is discussed after the torque roll axis is introduced. To achieve the decoupled vibration modes for the mounting system, the computer simulated powertrain rigid body modal analysis is employed. As a result, the mount linear portion of the load-deflection curve is determined while the nonlinear portion is chosen by static analysis, whose constraint is the maximum powertrain roll angle under the condition of the maximum torque input. Also, the reaction forces in the three orthogonal directions are able to be estimated under the various loading conditions which reflect the vehicle driving conditions. Finally, finite element analysis is employed in the designs of the metallic and rubber components to meet the durability and performance requirements.

scholarly journals JavaSMT 3: Interacting with SMT Solvers in Java

2021 ◽  
pp. 195-208
Author(s):  
Daniel Baier ◽  
Dirk Beyer ◽  
Karlheinz Friedberger
Keyword(s):  
Programming Languages ◽  
Satisfiability Modulo Theories ◽  
Performance Characteristics ◽  
Enabling Technology ◽  
Smt Solvers ◽  
Computer Aided ◽  
And Performance ◽  
Lock In Effect ◽  
Lock In ◽  
Update Process

AbstractSatisfiability Modulo Theories (SMT) is an enabling technology with many applications, especially in computer-aided verification. Due to advances in research and strong demand for solvers, there are many SMT solvers available. Since different implementations have different strengths, it is often desirable to be able to substitute one solver by another. Unfortunately, the solvers have vastly different APIs and it is not easy to switch to a different solver (lock-in effect). To tackle this problem, we developed JavaSMT, which is a solver-independent framework that unifies the API for using a set of SMT solvers. This paper describes version 3 of JavaSMT, which now supports eight SMT solvers and offers a simpler build and update process. Our feature comparisons and experiments show that different SMT solvers significantly differ in terms of feature support and performance characteristics. A unifying Java API for SMT solvers is important to make the SMT technology accessible for software developers. Similar APIs exist for other programming languages.

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