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Research Paper

The comparison between various object detection algorithms

Object detection is a concept that has been handed over to the machines for some time now. It all started with pattern recognition back in the 1960’s and the concept has been evolving ever since. Now it has come to such an extent that machines are successfully able to achieve real-time object detection. But all this isn’t done on its own and requires human help and instantiation in order to start working independently. Whenever there is a need for instantiation, there comes a need for an algorithm. Talking about algorithms, an algo is a finite series of steps which when performed lead to an outcome. Ever since the beginning of time, we have been using algorithms to do our daily chores. Ever since the beginning of machines, we have been using algorithms to program them and to define how they would react to various inputs. Similarly, when the concept of object detection came in, the series of development of algorithms began. There have been multiple developments over the past which have been able to do the job of object detection but the difference between these has always been of speed and accuracy as well as efficiency. Earlier algorithms were performed on still images that were captured out of cameras or taken out of video footages. Now, highly efficient algorithms have made it possible to provide real-time object detection that can be performed by continuously moving video footages.   Object detection is not a cakewalk and has a lot of challenges that it comes with. The goal to be achieved is overcome some challenges and reduce the effect of others to the bare minimum. It is true that there are trade-offs involved in this process but based on the objective of the program, these trade-offs can be easily managed. The main challenges that come up are mentioned below.  

Published by: Chandramani Kumar, Kartik Chawla, Shreya Arora

Author: Chandramani Kumar

Paper ID: V4I2-1586

Paper Status: published

Published: April 5, 2018

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Research Paper

Energy aware routing through optimum Load Balancing and Evolutionary Algorithm in WSN

Average lifetime improvement of a critical application sensor network is always a promising research area where a lot of scope for applying a technique like cross-layer approach, energy-aware routing, load balancing etc. Due to the heterogeneous nature of sensor network and dynamic situation static solutions always fail to give an optimal solution. The performance of network like an average lifetime, throughput, packet delivery ratio, overhead due to routing etc can be improved through an optimized load balanced network. Optimisation technique like simulated annealing, genetic optimization and particle swarm optimization yield a time-varying performance due to its operation of principle. The various network parameters can be used to represent chromosome in the genetic algorithm (GA) and similarly this parameter can be represented in particle swarm optimization (PSO) optimization. The performance of GA and PSO is measured in the dynamic environment but testing is done in a standard environment.  

Published by: Sneha Sebastian, Dr. Vinodh P Vijayan

Author: Sneha Sebastian

Paper ID: V4I2-1458

Paper Status: published

Published: April 5, 2018

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Research Paper

K-means cluster analysis for gene expression of PBMCs with four different metrics

Microarray technologies have now made it possible to monitor the expression levels for tens of thousands of genes in parallel. Studying the gene expression data for the deeper understanding of functional genomics. K-means clustering technique is one such way towards addressing this challenge and finding the underlying patterns. In this paper, we first briefly introduce the concepts of microarray technology and implement k-means algorithm with four different metrics. Euclidean, Manhattan, Chebyshev, Minkowski distance metrics along with a comparative study of results with silhouette score as an internal validation measure are discussed.  

Published by: Vipul Grover, Dhananjay Sharma, Shubham Kumar Dutta

Author: Vipul Grover

Paper ID: V4I2-1558

Paper Status: published

Published: April 5, 2018

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Research Paper

RFID and its applications

RFID(Radio Frequency Identification) technology is used on a large scale these days, this technology can be used to identify various objects very easily. There are mainly three components in RFID. They are the transceiver, transponder, and antenna. The RFID transceiver plays an important role in the transmission of power in case of passive tags and it also does reception of information present in the RFID tag. The transponder does the work of receiving frequency signal and then transmitting another signal. The antenna does the work of establishing the connection between the reader and tag. The RFID system can be made with different frequencies, so depending on the range the antenna must be selected. One of the applications of RFID in real life is “Smart Bus Route Indicator”. Basically, in this application of RFID, TX-433 which is an ASK transmitter and RX-433 which is an ASK receiver is used as one of the main components. These transmitter and receiver are tuned to 433MegaHertz. The encoder IC does the work of converting parallel inputs into the serial output, this serial output is transmitted using transmitter antenna to the receiver antenna. Now the decoder will convert the serial input into the parallel output and give it to output pins of the microcontroller. The data then can be displayed on the LCD display. So RFID modules can be used to send the data so as to specify the location and arrival time of a bus.

Published by: Abhishek D Kulkarni, Adesh A Chavan, Sairaj S Kshirsagar

Author: Abhishek D Kulkarni

Paper ID: V4I2-1551

Paper Status: published

Published: April 5, 2018

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Review Paper

Building an artificially intelligent, interactive and online chatbot

Nowadays people tend to seek knowledge or information from the internet that is discerned with the wide range of applications and followed through online services. The main aim of this Chat based system or the way is to bridge the gap between the knowledge sources by providing instant replies to the questions and queries that get posted. A chatbot’s main aim is to make a conversation between a human and a machine feasible. The machine gets embedded with this knowledge for the identification of the sentences and making a decision within itself, as a response to answer questions.

Published by: Sai Kiran Chintalapudi, Akhil Bharadwaj, Siddharth Kolagatla, Reddy Nikhil Sampara Harsha, Swarnalatha P

Author: Sai Kiran Chintalapudi

Paper ID: V4I2-1567

Paper Status: published

Published: April 5, 2018

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Research Paper

CSRMesh Bluetooth technology for speedy automation

The Project aims to employ “CSRMesh Bluetooth Low Energy technology” to design Wireless Switch Panels and Controller Units for speedy installation of home automation solution. Wireless Panels are powered by a battery which would last for years unlike daily charging needed by most of the Wireless devices. These switch panels communicate on low power CSRMesh Low Energy protocol. Similarly, a Controller unit which will be connected at the load side to control the lamps, TV, fans and various other appliances use CSRMesh to communicate with switch panel thereby simplifying cabling in order to achieve speedy installation. Using Bluetooth low energy MESH technology it is possible to establish the powerful wireless network which is prerequisite of wireless connectivity. On successful completion of the above project, wiring complexity in homes should come down by about 80%, turnaround time by 90%, cost of the conduit and wiring by 60%.

Published by: Aaryan Kumar, Shubham Andurkar, Rasika Kulkarni, S. D. Hake

Author: Aaryan Kumar

Paper ID: V4I2-1589

Paper Status: published

Published: April 4, 2018

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