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Device-to-device communication for LTE advanced network

Device-to-Device (D2D) communication is an advanced technology that offers various advantages for the LTE advanced network such us wireless peer-to-peer services and higher spectral efficiency. It is used in so many different fields such as network traffic offloading, public safety, social services and applications such as gaming and military applications. However, mobile users in today's cellular networks use high data rate services (e.g., video sharing, gaming, proximity-aware social networking) in which they could potentially be in range for direct communications (i.e., D2D). The objective of this paper is to present advances on the current 3GPP LTE-advanced system related to Device-to-Device (D2D). In this paper, we provide an overview of the D2D types based on the communication spectrum of D2D transmission, namely Inband D2D communication and Outband D2D communication. Then we present the proposed work for D2D communication. Hence, D2D communications in such scenarios can greatly increase the spectral efficiency of the network. The advantages of D2D communications go beyond spectral efficiency; they can potentially improve throughput, energy efficiency, delay, and fairness.

Published by: Neha Vinod Khadilkar, Marathe V R

Author: Neha Vinod Khadilkar

Paper ID: V4I3-1693

Paper Status: published

Published: May 31, 2018

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Research Paper

Properties of concrete with pen waste

Plastic is the one of the waste material which is increasing day by day where as the concrete is the construction material which is also using more day by day. As the plastic is harmful material for environment so to decrease the plastic material we are using the one of the most important material waste i.e pen waste in the place of fine aggregate. The replacement of waste with fine aggregates by different proportions for M20 grade of concrete is done (2%,4%,6%,8% &10%) and strength was increased with 4 % of waste.

Published by: Bottu Shiva Kumar, Etaveni Madhavi

Author: Bottu Shiva Kumar

Paper ID: V4I3-1645

Paper Status: published

Published: May 31, 2018

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Research Paper

Peak to average power reduction techniques in OFDM

3GPP LTE has utilized the OFDMA for the downlink which oversees assortment versatility, inborn impenetrability to Inter picture Interference (ISI) and several more unmistakable. At any rate, 3GPP LTE structures delight in the unwell impacts of a really standard trouble called height to normal power share. The general paper attempted to discuss the section and secluding fundamentally basically based approaches for unmarried individual OFDMA structures. We have attempted our generations for L=1-4 oversampling cost and 256 FFT system and 128 sporadic substances bits to diminish the PAPR with the guide of dismissing at the correlative blend scattering work. It's far found inside the reproduction that top to regular power share diminishes to the tune of 8db from the unique unmodified machine.

Published by: Shubhangi Chakole, Dipa Kokane

Author: Shubhangi Chakole

Paper ID: V4I3-1690

Paper Status: published

Published: May 31, 2018

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Research Paper

Solitary pulmonary nodule detection in lung image using image processing

Cancer is a group of diseases begins in cells that are the basic building blocks of a body. There are different types of cancers but all starts with the cells growing out of control. The type and stage of cancer can be determined by determining where the abnormal growth occurs in the body and the type of cells that start to grow abnormally. The type of cancers often found in adults is endometrial cancer, skin cancer, lung cancer,ovarian cancer and breast cancer. Of these cancers the most common type of cancer is the Lung cancer. This type of cancer is common due to smoking. The earlier it is detected; the better is the chance of curing. This review examines and summarizes various techniques and algorithms used for lung cancer detection.

Published by: Ravina Jambhulkar, Anil Bavaskar, Mayuri Chawla

Author: Ravina Jambhulkar

Paper ID: V4I3-1654

Paper Status: published

Published: May 30, 2018

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Research Paper

Best feature selection for heart disease prediction using data mining

Data mining is a way for extracting the valuable knowledge patterns from a huge amount of data. Various data mining tools and techniques are used in the medical world for predicting the diseases. Heart disease is one of the common diseases nowadays. This paper presents different feature selection attribute Evaluator models Working with all attributes in data is not always useful so for this study we filtered selected attributes that will give maximum accuracy. This study compares various classification techniques for predicting heart disease with a different set of attributes selected using evaluators. The dataset used for the study is Cleveland heart dataset it has 14 attributes and 303 instances. For achieving the results, the different classification algorithms are applied on selected attributes taken after feature selection. The classifiers used in the study are J48, SMO, Multilevel perception, Bagging Naive Bayes Random Tree. Then, a comparative study is done on the basis of accuracy achieved from the different classifiers.

Published by: Anu Mehra, Dr. Shailendra Narayan Singh

Author: Anu Mehra

Paper ID: V4I3-1661

Paper Status: published

Published: May 30, 2018

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Research Paper

Voice controlled home automation system

The concept of Home Automation is gaining popularity as it helps in reducing human effort and errors and thus increasing the efficiency. With the help of Home Automation system, we can control different appliances like lights, fans, TV, AC etc. Home automation already in practice is by switching on or off a device via wired networks. But this is inefficient for people with the impairment in mobility or any physical disability due to aging factors. Existing products are expensive and also speech recognition is available with the usage of internet (online). This is a project for a voice-controlled home automation system to control appliances with your voice through an Android app. This system is especially beneficial in case of handicapped or aged people who find it difficult to walk and operate the electrical switches to turn on or off the loads. All these loads can be individually turned on/off. This system solves the issue by interfacing a unit with home appliances that switch these loads based on the input received from the android device. The Android app also provides an effective GUI for providing this functionality to the user of the automation system.

Published by: Reshma Uttam Shinde

Author: Reshma Uttam Shinde

Paper ID: V4I3-1679

Paper Status: published

Published: May 30, 2018

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