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Research Paper

IOT based Home Automation System for Electricity Usage

One of the important scientific discovery of all time is of electricity. Electricity has many uses in our day to day life and provides comfort to people. The existing system for Electricity meter reading has many drawbacks such as real-time data is not available, huge human resource requirement, difficulty in construction etc. This research proposes an IOT based system to overcome above drawbacks and provide additional benefits. The proposed system uses Arduino microcontroller, to read the no of units consumed by electrical appliances. These data are then sent to a remote server using Ethernet shield. At the user end, an android application is created which allows the user to fetch data in real time and represent it graphically. In an effort to overcome the energy crisis, these systems send an SMS to the user when his/her home electricity usage crosses a threshold. To notify the user about his daily electricity usage a notification will be sent to the Android application every day. The above system has been designed to overcome drawbacks of the existing system, ease of accessing real-time data and to reduce energy crisis.

Published by: Swapnil Talkar, Ruhi Bajaj

Author: Swapnil Talkar

Paper ID: V3I6-1502

Paper Status: published

Published: December 30, 2017

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Review Article

Radio Mean D-distance Number of Banana Tree, Thorn Star and Cone Graph

A Radio Mean D-distance labeling of a connected graph G is an injective map f from the vertex set V(G) to N such that for two distinct vertices u and v of G, dD(u, v) + ⌈(f(u)+f(v))/2⌉ ≥ 1 + diamD(G), where dD(u, v) denotes the D-distance between u and v and diamD(G) denotes the D-diameter of G. The radio mean D-distance number of f, rmnD(f) is the maximum label assigned to any vertex of G. The radio mean D-distance number of G, rmnD(G) is the minimum value of rmnD(f) taken over all radio mean D-distance labeling f of G. In this paper we find the radio mean D-distance number of banana tree, thorn star and cone graph.

Published by: K. John Bosco, T. Nicholas, M. Antony, V. Viola

Author: K. John Bosco

Paper ID: V3I6-1476

Paper Status: published

Published: December 30, 2017

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Research Paper

Hierarchical Attribute-Based Solution for Flexible Access Control in Cloud Computing

Cloud storage enables users to remotely store their data and enjoy the on-demand high-quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users’ physical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in the cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper We develop a new cryptosystem for fine-grained sharing of encrypted data that we call Key-Policy Attribute- Based Encryption (KP-ABE). In our cryptosystem, ciphertexts are labeled with sets of attributes and private keys are associated with access structures that control which ciphertexts a user is able to decrypt. Attribute- based encryption (ABE) has been envisioned as a promising cryptographic primitive for realizing secure and flexible access control. HASBE extends the ASBE algorithm with a hierarchical structure to improve scalability and flexibility while at the same time inherits the feature of fine-grained access control of ASBE.

Published by: Sadaf Shaikh, Dipti Patil

Author: Sadaf Shaikh

Paper ID: V3I6-1505

Paper Status: published

Published: December 29, 2017

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Review Paper

Channel and Clipping Level Estimation For OFDM in IoT –Based Networks: A Review

Internet of Things (IoT) is the idea to connect all devices to the internet. To implement such systems, we need to design low cost and less complex transmitters and make the receiver side complex. Nowadays OFDM is mainly used for communication due to its great advantages. But it faces the main problem such as PAPR due to the non-linear performance of High power amplifiers. There are so many methods are available to reduce the effect of PAPR in OFDM transmission, among this clipping is the simplest one. In this paper, we propose two algorithms to find the clipping level as well as the channel estimation. The efficiency of these algorithms is evaluated by using CLRB calculation.

Published by: Ranjith T. K, Sini .M, Sareena Abdul Rasheed

Author: Ranjith T. K

Paper ID: V3I6-1501

Paper Status: published

Published: December 29, 2017

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Research Paper

The Multiband Patch Antenna with Square and Hexagonal Shape for Different Wireless Applications

Fractal geometry involves a recursive generating methodology those results in the figure with infinitely convoluted fine structures. They do not use additional loading components and are simple and cost-effective to fabricate. They can be mounted to constraining form factors, such as the casing of hand-held transceivers. In this paper, a fractal antenna is designed with Square and Hexagonal shape and operating between 4-7 GHz. The proposed antenna with the rectangular ground plane is modeled and simulated with Finite Element Method (FEM) based High-Frequency Structure Simulator (HFSS) and an improvement in performance parameters (Return loss, Bandwidth (BW) and VSWR) is observed with change in design parameters. Fractal antennas prove worthwhile, high performance, resonant antennas for many practical applications. It is usually fabricated as or on small circuit boards, they allow new versatility in their use with wireless devices.

Published by: Shmile, Pankaj Sharma , Puneet Jain

Author: Shmile

Paper ID: V3I6-1500

Paper Status: published

Published: December 29, 2017

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Research Paper

Automatic Power Factor Correction by Fine Tuning of Graded Capacitors

Today’s power system demands improved power factor in order to harness various advantages associated with improved power factor. Till date, various methods have been deployed to improve the power factor of the power system. This paper mainly focuses on a novel methodology for reactive power compensation and thereby power factor improvement at the load end. This paper presents a novel approach of capacitance grading for achieving fine-tuning of power factor. The concept for automatic power factor correction by fine-tuning of graded capacitors with the help of microcontroller and binary logic is proposed, simulated, and implemented. The method presented is of iterative nature and is cost competitive over other deployed methods. An algorithm is developed and a model is made to deploy the concept of iteration with binary logic. The same is tested on an induction motor and results obtained are analyzed.

Published by: Harnekar Aadam Ismail, Gaurang Kumar B. Patel

Author: Harnekar Aadam Ismail

Paper ID: V3I6-1496

Paper Status: published

Published: December 28, 2017

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