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Role of missile technology in defense is inevitable. High precision missiles that exist with common law of flight motion paves way to the calculation of approaching missiles target approximation and resulting in destruction as every missile follow parabolic projection. Chameleon eye motion thrusters for missile with genetic ontology controller and uncommon transmission antenna is capable of taking...
Feature selection reduces a data set into a subset which also represents the entire data with less computational complexity and performance does not affect much. However, to extract such a subset is a nontrivial task, although there are a number of methods to handle this problem. In the near past an approach based on rough set has been used for feature selection. The dependency measure is one of the...
Map-reduce is a programming model popularized by Google since 2004. It's used with large-scale datasets and processing data on a shared-nothing cluster. Map-Reduce accomplish high performance by partitioning the processes into small units of work that can run in parallel across thousands of nodes in the cluster. Rapidly, increasing in data size has risen importance to uncover hidden pattern to acquire...
Managing energy consumption and production is a challenging problem and proactive balancing between the amount of electricity produced and consumed is needed. In this work, we examine mechanisms that give incentives to consumers to efficiently reschedule their demand, thus balancing the overall energy production and consumption. Viewing the smart grid as a MAS, each agent represents a consumer; this...
The objective of this paper is to propose an intelligent service robot in indoor environment with voice recognition and telepresence capabilities. We have assumed that this model of service robot is used to deliver a drinking cup to the recognized customer from the starting point to the destination. We have developed and introduced 3 main modules to avoid obstacle, to recognize commands and telepresence...
Through co-design of Augmented Reality (AR) based teaching material, this research aims to enhance collaborative learning experience in primary school education. It will introduce an interactive AR Book based on primary school textbook using tablets as the real time interface. The development of this AR Book employs co-design methods to involve children, teachers, educators and HCI experts from the...
Acoustic pollution in the past is insignificant when compared with urban environmental noise today. The control of environmental noise, in comparison to other pollutants, had been hampered by insufficient knowledge of its effects on humans. This work presents several results about the urban acoustic impact. The experimental place is the Historical Centre of Mexico City. A distributed wireless monitoring...
In the last decade, Wi-Fi based trajectory monitoring has gathered high interest in the scientific and commercial world, due to the increased usage of Wi-Fi capable mobile devices. A lot of work can be found where monitor nodes are placed in an area of interest capturing Wi-Fi signals from passing phones. However, the deployment of such nodes is often inefficient, expressed by a low ratio between...
Water is the most valuable natural resource after air without which a man cannot survive. The growing demand is forcing fresh water beyond natural replenishment rates. This nictitates finding water conservation opportunities. We recognize that there is significant cold water wastage at public places as users try to find a proper setting of the mechanical water mixer. There is in need of a smart system...
This paper discusses the time series analysis, modelling and prediction of stock price based on the popularly used technique analysis data MACD, RSI, MFI and ATR. The idea is that the stock price dynamics is treated as an unknown stochastic dynamic system to be identified. The stock price is treated as the system output and the technique analysis data such as MACD, RSI, MFI and ATR are treated as...
System identification is one of the most interesting applications for adaptive filters, especially for the LMS algorithm due to its robustness and computational simplicity. Owing to the limitations of LMS algorithm in terms of convergence and non-linearity, many variants of LMS has been tried for various applications. In this paper, we propose an effective approach to identify unknown system adaptively...
Many diagrammatic representations such as Venn, Euler, and Peirce diagrams have been used and intensively studied in set theory and in logic formalisms. It has been claimed that diagrammatic representations in general have advantages over linguistic ones; however, current visualizations of logical problems do not provide clarity on a basic static structure with elementary dynamic features, creating...
Wireless sensing technology becomes a new scientific instrument for physical and environmental monitoring. The technology involves deploying a large number of tiny sensor nodes that cooperatively sense and report a specific condition at various locations to the base station. This class of applications faces many challenges, mainly caused by communication failures, storage and computational constraints...
This paper discusses essentially how we can build different learning strategies based on the social behavior of social networks users and offer each category of users the best learning experience. The grouping of people isn't an easy process. Nevertheless we gathered them by some similarities on their profile. In order to classify the users, we used clustering methodologies. Subsequently we recognized...
Solar electricity from Grid-Connected Photovoltaic (GCPV) systems has experienced rapid growth as one the most important renewable energy technologies globally. However, due to the intermittent and fluctuating weather conditions throughout the day and year, it is often a challenge to model the output performance of a GCPV system. This paper presents a model for modeling the AC power from a GCPV system...
Aircraft noise is a major concern for current world-wide airports. Evaluation of airport noise pollution mainly depends on the correlation between the aircraft class, the noise measured and the flight path. Certification, evaluation and regulation procedures usually require the foregoing correlation to be performed by means of different sources of information beyond that provided by the aircraft itself...
The article deals with the set of simulation models of the pension system of the Russian Federation designed to support government decision-making in the pension field. The set of models is realized on the basis of the composite combination of methods of system dynamics and agent-based modeling and allows you to explore the dynamics of developmental processes in complex social and economic systems,...
In this paper, we proposed a new approach of data routing in wireless sensors network (WSN) based on Khalimsky theory and Multi-agent systems (MAS). The WSN is constituted by a set of nodes grouped into clusters, and another set of deployed nodes according to the Khalimsky topology acting as gateway agents (GA). In each cluster, there are member node agents (MNA) for data collecting and a master node...
The research concerns issues on simulation modeling of Russian Federation higher education system considering its interaction with macroeconomic and demographic factors. The proposed range of simulation models of higher education system is developed using agent-based modeling and system dynamics methods. The range of models allows strategic planning of development of Russian Federation higher education...
Biometrics' based secure identification and personal verification solutions are essential for today's information systems. Hand geometry is one of biometric trait that has been widely employed in biometric identification systems. In this paper an innovative peg-free hand geometry based user identification system using the wavelet energy features of a graph representation of the hand is proposed. The...
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