Improving the throughput of IoT devices for smart cities
Device-to-Device (D2D) communications and applications are expected to be a significant part of the Internet of Things (IoT). However, conventional network gateways reported in the literature are unable to provide sustainable solutions to the challenges posed by the massive amounts of D2D communications requests, especially in the context of the IoT for smart cities. In this paper, we present an admission control model for D2D communications. The model differentiates all D2D requests into delay-sensitive and delay-tolerant first and then aggregates all delay-tolerant requests by routing them into one low-priority queue, aiming to decrease the number of requests from the various number of devices in the IoT for smart cities. Also, an admission control algorithm is devised on the basis of this model to prevent access collision and to improve the quality of service. Performances are evaluated by the network calculus, numerical experiments, and simulations show that the proposed model is feasible and effective.
Published by: K. Ramalingham, Dr. P. Murugeswari
Author: K. Ramalingham
Paper ID: V4I3-1784
Paper Status: published
Published: June 9, 2018
Key to the future
To solve the current drawbacks being experienced by the current Lock-and-Key system by implementing the IoT technology and thereby modeling a Key which can be implemented alongside all the lock systems we use daily, with the help of biometrics being the singularity for uniqueness. Also making appropriate changes to the Lock to work cooperatively with the Key being made, satisfying the ideology of IoT technology of Unique Identity, being able to be connected to the Internet and communicate over it, and has to be remotely accessible.
Published by: Tanveer Pasha, Mohammed Omar, Omar
Author: Tanveer Pasha
Paper ID: V4I3-1828
Paper Status: published
Published: June 9, 2018
Sentiment analysis on Twitter
With the rise of social networking epoch, there has been a surge of user-generated content. Micro-blogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time micro-blogging service, Twitter, where users post real-time reactions to and opinions about everything. In this project, we expound a hybrid approach using both corpus-based and dictionary-based methods to determine the semantic orientation of the opinion words in tweets. We know that there are almost 111 microblogging sites. Microblogging websites are nothing but social media site to which user makes short and frequent posts. Twitter is one of the famous microblogging services where the user can read and post messages which are 148 characters in length. Twitter messages are also called as Tweets. We will use these tweets as raw data. We will use a method that automatically extracts tweets into positive, negative or neutral sentiments. By using the sentiment analysis the customer can know the feedback about the product or services before making a purchase.
Published by: Shruti Vinay Narkhede, Rohini Pramod Mahajan, Sayali Sanjay Nemade, Shivani Manoj Badgujar
Author: Shruti Vinay Narkhede
Paper ID: V4I3-1816
Paper Status: published
Published: June 9, 2018
FAUX leather exploration: A creative approach
Fashion conscious consumers demand updated and up style look for themselves. They not only look at the functions of the product but also the aesthetics according to the current fashion. They are now more conscious of what they buy, about the style, visual appearance, etc. The use of faux leather instead of natural leather can cater the demand of fashion products as well as will also take care of the environmental, economic and religious concerns of the consumers. This research is on the utilization of faux leather as the design element for the apparels. Using different techniques, innovative designs collection is developed. Further, the selected techniques have been applied as the surface enhancement on Indo-western outfits.
Published by: Simran Kaur, Dr. Amita Walia, Deepika Birhman
Author: Simran Kaur
Paper ID: V4I3-1805
Paper Status: published
Published: June 9, 2018
Clustering technique in WSN using PSO algorithm
The lifetime maximization of the network is taken into account because of the major task while deploying a WSN. Some sort of protocols was designed to satisfy the necessity. Clustering technique is taken into account collectively of the necessary technique for the topology control to attain the target. This paper focuses on the lifetime maximization of the nodes by using Particle Swarm Optimization (PSO) algorithm. The proposed protocol shows higher ends up in a well-balanced clustering system that improves the network lifetime. Analysis, MATLAB Simulation, and the Experimental result were illustrated in this paper.
Published by: Mariyakkutty V V, Ajit Joseph
Author: Mariyakkutty V V
Paper ID: V4I3-1806
Paper Status: published
Published: June 9, 2018
Knowledge of nurses on essential newborn care
Introduction Essential newborn care is a care that every newborn baby needs regardless of where it is born or its size. Essential newborn care should be applied immediately after the baby is born and continued for at least the first 7 days after birth (WHO). This study was conducted to assess the knowledge of nurses on essential newborn care. Methods The study was conducted using descriptive correlational research design. The samples included 30 nurses working in Apollo Cradle for Women & Children who were selected using purposive sampling technique. Data was collected using demographic variable proforma and structured questionnaire to assess the knowledge of nurses on essential newborn care through a non-experimental descriptive method. Results revealed that the mean and standard deviation of knowledge of nurses on essential newborn care was (M = 14.93, SD = 3.35). The study findings revealed that there was the significant association between selected demographic variables and knowledge of the nurses -years of experience and knowledge of nurses on essential newborn care (p < 0.05).
Published by: Jennifer G, Nesa Sathya Satchi, Dr. Latha Venkatesan
Author: Jennifer G
Paper ID: V4I3-1795
Paper Status: published
Published: June 9, 2018
