TIET Newsletter
Oct 2019

In this Issue
  • Augmented Reality App Provides Visual Insights into Human Biology
  • Predicting Fruit Harvest with Drones and Artificial Intelligence
  • Highest Throughput 3-D Printer is the Future of Manufacturing
  • TIET Updates

Augmented Reality App Provides Visual Insights into Human Biology

NeuroImage journal featured a study by Danny Wang, professor of neurology and director of imaging technology innovation at the USC Stevens Neuroimaging and Informatics Institute. The cover image of the journal created using high-resolution data collected by the institute's ultra-high-field 7Telsa magnetic resonance imaging scanner, depicts very small blood vessels in the brain known as lenticulostriate arteries. Wang and his team have developed and tested a new noninvasive method for precisely visualizing these vessels, which can help in the study and treatment of cerebral small vessel disease. The team created an augmented reality app that can help visualize small cerebral vessels easily.


When you view the image through the Schol-AR app, suddenly you see the size, shape and positioning of these vessels as they relate to the brain structures they supply. When users can manually enlarge, rotate and explore, a much more realistic picture of the underlying biology emerges. The 3-D model provides more insight into where these arteries are situated within the context of important structures in the brain. Interacting with the augmented version allows readers to understand how the shape of these vessels could change with age, disease or both.

Predicting Fruit Harvest with Drones and Artificial Intelligence
Outfield Technologies, a Cambridge-based agri-tech start-up company, uses drones and artificial intelligence to help fruit growers maximize their harvest from orchard crops. The company does aerial imagery analysis using drones for the yield estimation based on the count of blossoms in the crop. Outfield's identification methods are an excellent application of the research that Ph.D. student Tom Roddick, who is part of the Computer Vision and Robotics Group which concentrates on artificial intelligence and Machine Learning, using Deep Learning methods, via Artificial Neural Networks (ANNs). ANNs are computing systems modelled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data by labelling or clustering raw input. The patterns they recognize are numerical, into which all real-world data, be it images, sound, text or time series, is translated.


Such systems "learn" to perform tasks by analyzing examples, generally without being programmed with task-specific rules. For example, in image recognition, the ANN might learn to identify images that contain apples by analyzing example images that have been manually labelled as "apple" or "no apple" and using the results to identify apples in other images.

Highest Throughput 3-D Printer is the Future of Manufacturing
Northwestern University researchers have developed a new, futuristic 3D printer that is so big and so fast it can print an object the size of an adult human in just a couple of hours. Called HARP (high-area rapid printing), the new technology enables a record-breaking throughput that can manufacture products on demand. Over the last 30 years, most efforts in 3D printing have been aimed at pushing the limits of legacy technologies. Often, the pursuit of larger parts has come at the cost of speed, throughput and resolution. With HARP technology, this compromise is unnecessary, enabling it to compete with both the resolution and throughput of traditional manufacturing techniques.


The prototype HARP technology is 13-feet tall with a 2.5 square-foot print bed and can print about half a yard in an hour—a record throughput for the 3D printing field. This means it can print single, large parts or many different small parts at once. "3D printing is conceptually powerful but has been limited practically," said Northwestern's Chad A. Mirkin, who led the product's development. "If we could print fast without limitations on materials and size, we could revolutionize manufacturing. HARP is poised to do that."
  • TIET provided BIM Training in Chitkara University, Baddi to 3rd year students of B.Tech (Civil)


  • TIET is working on a project wherein it does wind analysis of whole Bangladesh.


  • TIET has provided training on Revit to HBA


  • TIET has provided training on Plant 3D to IDOM
  • TIET has launched AutoCAD 2020 course on Udemy


  • TIET is doing wind analysis of whole Gujrat region for one of its clients
Textbook Overview
CADCIM Technologies publishes textbooks on Computer Aided Design, Manufacturing, and Engineering (CAD/CAM/CAE), Civil, GIS, Animation, and Computer Programming software... More


New Releases
CADCIM announces the release of ANSYS Workbench 2019 R2: A Tutorial Approach, 3rd Edition; Autodesk Fusion 360: A Tutorial Approach, 2nd Edition; AutoCAD Electrical 2020: A Tutorial Approach; Exploring Autodesk Revit 2020 for Structure, 10th Edition; Customizing AutoCAD 2020, 13th Edition; AutoCAD Electrical 2020 for Electrical Control Designers, 11th Edition; Autodesk 3ds Max 2020: A Comprehensive Guide, 20th Edition; AutoCAD MEP 2020 for Designers, 5th Edition; Siemens NX 2019 for Designers, 12th Edition; Exploring Autodesk Revit 2020 for Architecture, 16th Edition; Autodesk Maya 2019: A Comprehensive Guide, 11th Edition; AutoCAD 2020: A Problem-Solving-Approach, Basic and Intermediate, 26th Edition; Autodesk Inventor Professional 2020 for Designers, 20th Edition... More

Upcoming Textbooks
Our team of authors is currently working on the new and latest releases of various software packages and will soon come up with  Exploring Autodesk Revit 2020 for MEP, 7th Edition; SOLIDWORKS 2020 for Designers, 18th Edition; CATIA V5-6R2019 for Designers, 17th Edition; Solid Edge 2020 for Designers, 17th Edition... More

***The news items contained in this newsletter have been compiled from various publications and restructured to make our readers familiar with emerging technologies. TIET does not claim any copyright of these items.

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