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Vol. 4, Issue 25, September 2018

Article 1

What is Deep Learning?

Deep Learning was introduced by Dr. Rina Dechter to the machine learning community. She is professor of Computer Science at University of California, Irvine. Deep Learning is in fact a machine learning technique where computer architecture and algorithm draw inspiration from the structure and functions of human brain. Using Deep Learning computer model performs different types of classification tasks directly from images, text or sound and that too with accuracy same as that of human minds. Deep learning models are based on communication process and data processing biological nervous system. In this the basic parameters are set up about the data and teach the computer to recognize patterns by using multiple layers...


By: Dr. Sheifali Gupta, Dr. Shalli Rani and
Ms. Urvashi Sharma

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Article 2

Ultra Dense Network or UDN

Cellular network as we know is composed of a large number of cells with each cell serving the small geographical area. Each cell has at-least one fixed base station transceiver (in conventional set-up). One such cellular network with hexagonal cells is shown in Figure 1. In today’s era the network cells are becoming more tightly packed and the network is becoming ultra-dense. This is happening due to immense traffic that is generated over the network, which in turn causes lot of chaos over the network. UDN is one of the leading ideas that can be helpful in eliminating the congestion problems of cellular network. By using UDN the voice or data can be easily transmitted to a point from which it can be distributed over network with better speed and efficiency.
Conventional cellular network used tree architecture, where network cells are controlled by Base Station (BS) Managers as shown in Figure 1...


By: Ms. Abha Sharma

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Previous Issue

Issue 24


  1. Article 1: Li-Fi: IEEE Standard 802.15.7
  2. Article 2: Future Money: Cryptocurrency

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About Technology Connect
Aim of Technology Connect is to share with students & faculty the latest developments, technologies & updates in almost all fields of engineering and thereby promoting knowledge sharing. We started in 2015 and currently Volume 4 is in publication. Over 100 articles were published in Vol. 1, 2 & 3 combined. Earlier the frequency of publication was weekly but starting from June 2018 we have decided to publish it fortnightly. All our readers are welcome to contribute articles to Technology Connect. Just drop an email to the editor.

Editorial Team
Editor: Mr. Sagar Juneja, Associate Professor, ECE, Chitkara University, H.P.
Consulting Editor: Dr. Rajnish Sharma, Dean (Research), CURIN, Chitkara University, India
Designer: Mr. Arun Goyal, Student, CSE, Chitkara University, H.P.