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We wish to express our appreciation and sincere gratitude to our beloved Dr. Ashok K Chauhan, Founder President, Ritnand Balved Educational Foundation (RBEF), Dr. Atul Chauhan, Chancellor, Amity University Uttar Pradesh (AUUP), Prof. (Dr.) Balvinder Shukla, Vice-Chancellor, AUUP for their constant encouragement and guidance during the conduct of the ICRITO'2015 Conference from the proceedings of which...
While big data has no set definition, the increasingly bigger data is driving better scientific and technological innovation and practices that are more closely relevant to data-rich and -driven disciplines, industries, and domains. In this talk, a brief outline is given about the challenges and opportunities triggered by bigger data for better innovation in big data analytics, in particular, non-iidness...
Big data, a widely used buzzword that describes a massive volume of both structured and unstructured data primarily originated from the social media and Web 4.0, has been consistently evolved over the last couple of years through innovation of algorithms and applications for the processing of data. Big data is characterized from the context of volume, velocity and veracity and encompasses different...
Being constantly connected brings increased risk of theft, fraud, and abuse. No country, industry, community, or individual is immune to cyber risks. As a nation, we face constant cyber threats against our critical infrastructure and economy. As individuals, cyber security risks can threaten our finances, identity, and privacy. Since our way of life depends on critical infrastructure and the digital...
In developing countries the researches especially in emerging branches e.g. computing and ICT related disciplines are lacking in quality. There are several reasons behind it: lack of lead researchers, proper mentoring, availability of resources (access of libraries, publishers), awareness of publication platform etc. In this presentation we focus on these issues and discus how to improve the quality...
In this talk, we will discuss how the well-known model-predictive optimization (MPO) techniques can be applied to emergent applications such as smart traffic and smart grids. Basically, we need accurate prediction models for predicting the future trends/requirements of traffic conditions and energy usage/generation. Based on the historical data and predicted data, a novel model-predictive optimization...
With the explosive growth of data available on the World Wide Web (WWW), discoveryand analysis of useful information from such source becomes a practical necessity. Big data is primarily concerned with the handling of massive scalable data and discovery of knowledge and aims to provideanswers to questions that people do not know how to ask. It is not an automatic process butone that exhaustively explores...
The rapid growth of technology, coupled with the tightened development time and production cost constraints, have imposed tremendous pressure and an intense desire for software enterprises to create new and innovative designs, which could respond to rapidly changing business and operating environments. Enterprises must invest in building stable architectures, i.e. based on conceptual knowledge more...
As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences of a group of users to make recommendations or predictions of the unknown preferences for other users. In this paper, we first introduce CF tasks and their main challenges, such as data sparsity, scalability, synonymy, gray sheep, shilling attacks, privacy protection, etc...
Due to increased complexity of the systems, cost reduction and detail modeling of the systems, the requirements of optimization have been increased. The conventional methods, which guarantee to provide the optimal solution, fail to solve many practical problems due to several requirements of these methods. The most familiar conventional optimization techniques fall in two categories viz. calculus...
Quality products and services are fundamental to customer satisfaction. Organizations distinguish their products and services as exceptional in ways that their customer appreciates. To achieve business excellence and remain leaders in industry, continuous improvement of products, services, and processes at a rate exceeding that of competitors is imperative. Statistical tools and techniques are a must...
In designing of microstrip antenna the suitable substrate is an important. The substrate properties such as its dielectric constant, loss tangent have a good effect on the antenna characteristics. In this paper a detailed study of the effect of various substrate material on the antenna properties. The fork type antenna is analyzed for different substrates using the software HFSS.
The proposed design is the work presented in this report explores wireless smart metering system that fully realizes the potential of smart grid. Real time monitoring of the electricity parameters like voltage, current, real and reactive power of the significant devices in a home is important for the control and optimization of the energy usage of those devices. However by optimizing the time of usage...
Electromagnetic waves produced by radio-frequency (RF) transmitters (e.g. radio, television, cell phone and radar) will induce electric currents and voltages in any conducting structure on which they impinge. If this happens in a location where a potentially flammable atmosphere is present, a hazardous situation can occur. However, the possibility of ignition will depend on many factors, particularly...
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