A Scheme for Improving the Performance of User Authenticity Through Client Validation Process Using Fuzzy Associative Memory (FAM) in Cloud Computing
R. Poorvadevi,
S. Rajalakshmi
Issue:
Volume 1, Issue 1, December 2016
Pages:
1-6
Received:
27 October 2016
Accepted:
14 November 2016
Published:
17 December 2016
DOI:
10.11648/j.ajdmkd.20160101.11
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Abstract: So far, in cloud computing lots of services are consumed by the distinct clients. However, cloud is providing all kind of services (everything as a service - Xaas) to its dependent users. Still, there will be efficient security procedures and parameters are needed in the client end. Cloud service providers are offering the service with proper security perimeter control. After receiving the service from the CSP, users are losing the security control over their confidential data. So, protecting the user secret data is essential. The proposed approach will be used for securing the data by authenticating the registered user through the fuzzy associative memory (FAM) technique. This approach mainly focuses on one / two dimensional data access point might be considered for user authenticity computational process in order to increase the performance level of data security. This can be achieved by using the green cloud simulator tool in cloud environment.
Abstract: So far, in cloud computing lots of services are consumed by the distinct clients. However, cloud is providing all kind of services (everything as a service - Xaas) to its dependent users. Still, there will be efficient security procedures and parameters are needed in the client end. Cloud service providers are offering the service with proper secur...
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Machine Consciousness and Question Answering
Issue:
Volume 1, Issue 1, December 2016
Pages:
7-15
Received:
3 November 2016
Accepted:
21 November 2016
Published:
27 December 2016
DOI:
10.11648/j.ajdmkd.20160101.12
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Abstract: In the present paper it is proposed that Machine Consciousness can be implemented by using either Finite State Automata or Production Systems. In both cases a possible behavior that may be characterized as exhibiting consciousness is the generation of an explanation of how it generates its final output. The implementation of Machine Consciousness techniques as applied to the technology of Question Answering is illustrated with our AMYNTAS Deductive Question Answering system. This system is described and it is shown how it generates in addition to an answer to the input question an explanatory report in natural language of the steps followed by the computation for the generation of an answer. Our implemented system is based both on finite state automata and on production systems and generates explanations in two ways while Question Answering from texts. One way is based on the state change path followed by an automaton and the other is based on the chain of productions activated during generating an answer. Our system was evaluated for precision and recall with a biologist as judge for information extraction from biological texts as well as for flexibility by showing that it can easily be adapted to three new domains. In contrast to our AMYNTAS system two prize winning programs at the Turing test Loebner competition that we tested failed to exhibit comparable performance as shown by the dialog trace of the tests presented here.
Abstract: In the present paper it is proposed that Machine Consciousness can be implemented by using either Finite State Automata or Production Systems. In both cases a possible behavior that may be characterized as exhibiting consciousness is the generation of an explanation of how it generates its final output. The implementation of Machine Consciousness t...
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An Expression-Driven Approach for Long-Term Electric Power Consumption Forecasting
S. Hr. Aghay Kaboli,
Alireza Fallahpour,
Nima Kazemi,
Jeyraj Selvaraj,
N. A. Rahim
Issue:
Volume 1, Issue 1, December 2016
Pages:
16-28
Received:
24 November 2016
Accepted:
17 December 2016
Published:
13 January 2017
DOI:
10.11648/j.ajdmkd.20160101.13
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Abstract: This study deals with estimation of electricity demand of Iran on the basis of economic criteria using a genetic-based approach called Gene Expression Programming (GEP) as an expression-driven approach. The GEP-based mathematical model is provided based on population, gross domestic product, exports, and imports. The proposed model is derived based on available data obtained from 1992 to 2006. To assess the forecasting accuracy of the model, the electricity demand from 2007 until 2012 are calculated by the GEP-based model and the obtained results are compared with the real data during this period. To show the accuracy of the model, the results obtained by GEP model are compared with the results obtained from Multi-Layer Perceptron (MLP) neural network and Multiple Linear Regression (MLR) as the two conventional methods. In addition, a five-fold cross-validation and future year prediction are used to show the robustness of the model in predicting the electricity demand. Future estimation of Iran's electric energy consumption is then projected up to 2030 according to three different scenarios. Finally, a sensitivity analysis is conducted to identify the most important independent variables affecting electricity demand.
Abstract: This study deals with estimation of electricity demand of Iran on the basis of economic criteria using a genetic-based approach called Gene Expression Programming (GEP) as an expression-driven approach. The GEP-based mathematical model is provided based on population, gross domestic product, exports, and imports. The proposed model is derived based...
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The Invariants of the Hilbert Transformation for Wavelet Analysis of Tabular Data
Issue:
Volume 1, Issue 1, December 2016
Pages:
29-46
Received:
29 November 2016
Accepted:
14 December 2016
Published:
13 January 2017
DOI:
10.11648/j.ajdmkd.20160101.14
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Abstract: Process of identification of steady laws in the form of asymmetric wavelet signals is stated. Thus the wave equations with variables amplitude and the period of fluctuation are designed from the generalized invariant and its fragments. This invariant according to Hilbert is reasonable as the biotechnical law generalizing almost all known laws of distribution. The essence, structure and parameters of the biotechnical law and its fragments is in detail shown. For identification statistical data of measurements in the form of tabular model are required. Then Hilbert's 23rd problem is solved as a problem of statistical (probabilistic) modeling. At the first stage the variation of functions is reduced to conscious selection of steady laws and designing on their basis of steady wave regularities adequate to studied natural processes. At the second stage there is a consecutive structural and parametrical identification of regularities on statistical selections by the sum asymmetric wavelets. The decision 23-oh Hilbert's problems by the one and only universal algebraic wave equation, in the general form on Descartes's hypothesis where half of amplitude and the period are displayed by the biotechnical law is given. Everyone wavelet this algebraic equation contains two fundamental physical constants – the number e of time or Napier and the number π of space or Archimedes. Examples of modeling, identification of the amount of asymmetric wavelet signal behavior of natural objects: the pulse of the electrocardiogram of a healthy person; natural drying samples meadow grass; mutual influence of forest cover and tilled territory; Crisis dynamics of the ruble and default 1998 y.; volume of patenting and forecast innovations in Russia until 2020 y.; dynamics of forest fires in the national park for the 1982-2011 y.; hour increments pulses alpha decay 239Pu sample at the maximum of the solar eclipse; amplitude of gravitational waves from the orbital period of 10 pulsars in the model splashing Universe.
Abstract: Process of identification of steady laws in the form of asymmetric wavelet signals is stated. Thus the wave equations with variables amplitude and the period of fluctuation are designed from the generalized invariant and its fragments. This invariant according to Hilbert is reasonable as the biotechnical law generalizing almost all known laws of di...
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