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Research Paper

Neonatal incubator monitoring system using IoT

There are many innovations occurring in the medical field like needle-free diabetes, robotic check-up, etc. But still, medical accidents are happening in today world due to improper care which even leading to death. We are aware that many infants were dead in recent times due to both human error and machine error. Hence we discuss the advancements that can be brought to the present machines such that the newborn babies would be safe and thus leading to the prevention of accidents that occur in the incubator. To control the accident, need to monitor continuously with better involvement, it is done only through automation. The medical staff can monitor anytime, anywhere. Prevent the infant from the fire and also keep them safe.

Published by: Vignesh T. C., Jai Kumar S., Hari Krishna R., Krishna Raj M.

Author: Vignesh T. C.

Paper ID: V5I2-1521

Paper Status: published

Published: March 26, 2019

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Research Paper

A study on impact of stress levels among students using random forest algorithm

Mental health presents one of the greatest and real challenges to the current generation of students. The competitive lifestyles cause them to manage different challenges to achieve their goals and people to be eager to achieve something, causing them to manage multiple frustrations and demands. In this pressurized and highly technical environment, anxiety disorders have slowly occupied their mental health. Nowadays Generalized Anxiety Disorder (GAD) is one of the mental health problems among students. It has been reported that about 2-5% of them. Here our raw data like questionnaire is a valuable resource, but it is underutilized at some circumstances. It could potentially be converted into useful and understandable knowledge via data mining technology. Data mining is capable to identify hidden patterns and relationships that can be used for predicting different disorders. For effective prediction, the random forest approach is one of the classification data mining techniques which produces good predictive characteristics. Therefore, this research adopts a random forest approach to predict different disorders like Generalized Disorder, Anxiety Disorder, Depression, and the accuracy of the predictive result is reported.

Published by: Pinninti Kusuma, Dokkari Siva

Author: Pinninti Kusuma

Paper ID: V5I2-1509

Paper Status: published

Published: March 26, 2019

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Research Paper

Secure distributed cloud service using trusted third party

Cloud storage is a system with a distributed data center that takes advantage of virtualization technology and provides an interface for data storage. It makes servers or data centers able to work together for conveniently sharing and accessing resources. Enterprise cloud user demand that there is a secure supply chain and that every step in that supply chain can be verified in real-time and when things go wrong it is more possible to figure out what went wrong and that there is someone who can be held accountable. Before storing data to an untrusted cloud server, some measures should be adopted to guarantee the security of data. However, the communication overhead will increase when users transmit files encrypted by traditional encryption schemes. Remote data integrity checking enables a data storage server to prove to a verifier that it is actually storing a data owner’s data honestly. We use Hadoop file system to provide high throughput access to user data. If the semi-honest cloud server does not delete the data honestly and returns an incorrect deletion result, the misbehavior of the cloud server can be detected by the data owner with an overwhelming probability. The user cannot deny after requiring the cloud server to delete the data. This implies that the proposed scheme can support traceability.

Published by: Hari Kumar P., Chandra Sekar S., Dinesh Kumar V., Gopikrishna G.

Author: Hari Kumar P.

Paper ID: V5I2-1347

Paper Status: published

Published: March 26, 2019

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Research Paper

3D reconstruction of regular objects from multiple 2D images using a reference object

The dimensional analysis of an object from an image reduces a lot of burden for a user, like the traditional measuring tape method. Using the dimensions will make reconstruction of the 3D model of the real-time object easier. However, this method is not used in the current implementation. Dimensional analysis can also be helpful in online shopping where the user’s availability for fitting is not possible. 3D model replaces the fitting stage in online shopping. Once the dimensions of an object’s surface are found, it is easy to calculate surface areas, given surface areas we can calculate volume. But the calculation of volume requires more than one dimension of the object. In this paper, an approach using a reference object, whose real-time dimensions are already known is used. The whole process is divided into three tasks - Object detection using SURF algorithm, Dimensional Analysis of the 2D object using pixel per metric ratio given that there is a reference object on the same plane and 3D reconstruction using Structure from Motion algorithm.

Published by: Krishna Sai Joga, K. Kavya Sree, Navya Spandana, G. Gowri Pushpa

Author: Krishna Sai Joga

Paper ID: V5I2-1477

Paper Status: published

Published: March 26, 2019

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Research Paper

Forensic Criminology

This research focuses on the history development of forensic science and also shed light on the fusion of science and law that is how forensic science has brought in the administration of justice. This research aims to point out the flaws in the laws with reference to forensic evidence.

Published by: Barani Manikantan

Author: Barani Manikantan

Paper ID: V5I2-1317

Paper Status: published

Published: March 25, 2019

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Case Study

Fire monitoring system using RF module

The objective of this project is to design and monitor system for the fire alerts in the surrounding environment using Flame sensor. It is transmitted wirelessly using an RF module. The output is displayed in LCD and Lab-VIEW GUI.

Published by: Vedashree J., Abinaya S., Ganesh Babu C., Muchenedi Hari Kishor

Author: Vedashree J.

Paper ID: V5I2-1268

Paper Status: published

Published: March 25, 2019

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