Deployment of Synthetic Emotions in Robotic Mechanism: A Systematic Approach
Shashikant Patil, Pravin Wararkar, Ravindra Bhat, Suresh Kurumbanshi

Abstract
In this paper, we have discussed and addressed various issues in synthetic emotion that are induced in robots. Synthetic emotions in robots encourage human interaction with them and also to draw human attention. The implementation of emotions in robots helps them to appear more intelligent. By using multi agent emotions, artificial emotions are generated. They give social sense of human companionship and develop relationship between user and human. We assed and evaluated variety of aspects on emotion from psychological point of view and different subsystem that are involved in it. This study is a sketch of importance of emotions in robots and their creation by using various techniques from various perspectives and the work carried in the field of sentiment and emotion mining.
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Deduplication in Encrypted Data: A Comprehensive Review
Neelu Verma, Dinesh Singh

Abstract
Cloud computing provides several facilities to the users amongst which the most prevalent is data storage. The users are permitted to download or upload their data anywhere and anytime to the server. But retrieving data leads to several issues related to the confidentiality and privacy. The users generally store their data on the cloud in encrypted form in order to ensure security and privacy. This encrypted data presents various new challenges. Because of such issues compression technique known as data deduplication is discussed in this paper. Deduplication technology, which removes duplicate copies, is a smart solution which saves space and traffic over disk. In this paper, proposed strategies and operations for deduplication are also discussed which describe the procedure for de duplication mechanism. It also discusses about the key operations performed for data deduplication.
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Router RTL Design for Network on Chip (NoC) with Common Resource Sharing Scenario by Arbitration Technique
Priyanka Rakshe, Pankaj Prajapati

Abstract
Now a day’s System of Chip (SoC) is becoming more complex one due to the integration of more than hundred IP cores on a single chip. There is introducing a concept of Network on Chip in silicon industries to decouple communication and computation. The router is the backbone of Network on Chip (NoC). The main goal of this research work is to focus on efficient router design with Verilog Hardware Description Language (HDL).We have designed, analyzed and verified top-level architecture for a router with submodules FIFO, FSM, Register, Synchronizer, and Arbiter. Xilinx 14.5 IDE with Spartan-3E- xc3s100e FPGA family has been used for the design of router. We analyzed power consumption with XPower analyzer and memory utilization with post-synthesis report. Research work proves that with acceptance of few delays, efficient router design can be possible which reduces thrice of the area as well twice of power consumption and that is the need of silicon industry.
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Bifurcation and Stability Analysis for Environmental Pollutants through Three-layered Population and Rain
Nita H. Shah, Moksha H. Satia, Foram A. Thakkar

Abstract
Globe is suffering from the environmental pollutants due to plant, animal and human. The environmental pollutants are increased in last few years due to different activities done by nature as well as humans. In this paper, we have taken three-layered population viz. plant population, animal population and human population affecting environment. A significant growth in environmental pollutants has decreased the intensity of rain throughout the world. The system of non-linear ordinary differential equations is formulated to analyse the proposed problem. Bifurcation and stability are discussed for environmental pollutants. Numerical simulation is carried out to study the effect of rain intensity due to three-layered population using data.
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Social Spider Optimization based RWA Approach to Reduce Blocking Overhead in WDM Networks
R. K. Priyadarshini, M. Arunachalam, M. Kumudha, T. M. Jeyakumari

Abstract
Wavelength Division Multiplexing (WDM) optical network has the capability of long haul transmission, thereby satisfying the requirements of high-bandwidth applications. Routing and Wavelength Assignment (RWA) is a major issue and remains as a highlighted research area in optical networks. Blocking probability is considered as a significant metric that is to be minimized to enhance the overall network throughput. The First Fit Wavelength Assignment (FFWA) algorithm is one of the conventional WA algorithms whose computational complexity is minimum. Even though the FFWA strategy is simple, there is no balanced utilization of wavelengths that leads to improper optimization of resources in the network. In this paper, a Social Spider Optimization based RWA (SSO-RWA) approach is proposed to overcome the challenges of traditional FFWA strategy. The fitness of the wavelengths is measured using a fitness function that considers both distance and free wavelengths. The computational wavelength optimization is adopted in SSO-RWA to select the best suited wavelength for a particular connection request. The adaptive routing algorithm is applied for routing the connection requests and the dynamic traffic is generated in the fashion of Poisson distribution. Simulation results shows that the SSO-RWA approach drastically reduced the blocking probability when compared with the traditional FFWA algorithm.
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