This document discusses using augmented reality to enhance education. It begins by defining augmented reality and how it can improve perception by combining virtual and real worlds. The document then discusses several ways AR has been used in education, including visualizing 3D models and animations over real-world items. It presents several case studies on using AR to teach concepts like electrical generators and magnetic fields. The document also outlines some of the technical methods involved in building AR applications, such as image processing, object detection and overlaying virtual content. Overall, the document argues that AR can make learning more interactive and engaging by bringing virtual interactive elements into the real world classroom environment.
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
We propose a methodology to measure object’s dimension using Augmented reality based smartphone application.
This technique is quite useful for various applications like proper package size estimation in packaging industry, interior object dimension for decoration industry ,measuring the area, breadth, angle, and depth of text and sprites for game development, animation, or graphic design purposes.
In particular this method is very useful whenever a measuring tape or scale is not available.
We use accelerometer, gyroscope available in smart-phones to record real-time data which help to understand mobile’s movement.
These data will be used to measure dimensions of the live object by calibrating mobile from one point to another using point cloud in unity.
The Quantify app's augmented reality capabilities provide enhanced visualization, enabling you to see measurements directly overlaid on the real-world environment.
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
We propose a methodology to measure object’s dimension using Augmented reality based smartphone application.
This technique is quite useful for various applications like proper package size estimation in packaging industry, interior object dimension for decoration industry ,measuring the area, breadth, angle, and depth of text and sprites for game development, animation, or graphic design purposes.
In particular this method is very useful whenever a measuring tape or scale is not available.
We use accelerometer, gyroscope available in smart-phones to record real-time data which help to understand mobile’s movement.
These data will be used to measure dimensions of the live object by calibrating mobile from one point to another using point cloud in unity.
The Quantify app's augmented reality capabilities provide enhanced visualization, enabling you to see measurements directly overlaid on the real-world environment.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.