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In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design,...
Millions of comments are available on forums, Facebook, Tweeter, YouTube etc. Proper analysis of these huge comments can lead to solve many social, economic, political, business related questions which otherwise are difficult to understand and analyse. Proposed system explores the statistical approach for sentiment analysis of product reviews using expectation maximization algorithm. Systematic mathematical...
Many algorithms and applications in ICN directly depend on content names. All the more surprising that there is no common foundation to evaluate them against each other. Without a common foundation, apples are compared to oranges. As this paper has the goal to enable real, realistic and comparable evaluations in ICN, also methods to compare sets of content names are needed. There are two ways to reach...
Gravitational search algorithm is a nature inspired optimization algorithm, inspired by newton's law of gravity and law of motion. In this paper, a new variant of Gravitational search algorithm is presented. The exploration and exploitation capability of GSA is balanced by splitting the whole swarm into two groups. The search process is modified so that one group better exploits and one group becomes...
Communication becomes core and one of the most important roles in many business practices, indeed audit as a service product is no exception to communication needs. This research is conducted to examine whether auditor's ability and willingness to communicate with client and professionalism in work as variable independent have significant impact on client responses in collaborating and supporting...
An algorithm of sound source localization using range differences of arrival and energy ratios of arrival is proposed. This algorithm can localize the sound source using only two or three microphones. The problem is converted into a nonlinear least square optimization problem, which is solved by Levenberg-Marquardt method. The performance of this algorithm against noise is analyzed in this paper.
AES represents the algorithm for advanced encryption standard consistof different operations required in the steps of encryption and decryption. The proposed architecture is based on optimizing area in terms of reducing no of slices required for design of AES algorithm in VHDL. This paper presents AES-128 bit algorithm design consist of 128 bit symmetric key. The AES implementation, merging technique...
Bloom's Taxonomy describes the classification of learning into various domains. The "Cognitive domain" tries to separate learning process into different levels based on the ability of a person to think. This is very helpful to detect whether a given question is memory based or application based. The primary aim of this paper is to demonstrate the utilization of Bloom's Taxonomy to grade...
In the set of stochastic, indecomposable, aperiodic (SIA) matrices, the class of stochastic Sarymsakov matrices is the largest known subset (i) that is closed under matrix multiplication and (ii) the infinitely long left-product of the elements from a compact subset converges to a rank-one matrix. In this paper, we show that a larger subset with these two properties can be derived by generalizing...
This study introduces the use of Rice Husk Ash (RHA) as a cement replacement in testing the compressive strength of hydraulic cement mortar cubes. The sample cement and sand were acquired from a local hardware store and the RHA from rice mills of Bocaue, Bulacan. The sample mortars were molded from 2-in. cubes using a cement-sand ratio of 1∶2.75 (1 part cement, 2.75 parts sand by weight). The samples...
To adapt to the sparsity of some sparse systems in system identification, a novel modified recursive least squares algorithm is proposed. This algorithm utilizes the output error to control the value of forgetting factor, which deals with the contradiction between convergence rate and stationary misadjustment. In addition, through the introduction of zero attractor in parameters' iterations, the proposed...
Aerial telecommunication platforms will be a part of the future communication networks. In this paper, we address the issue of optimizing the location of Aerial Base Stations (ABS) in Low Altitude Platforms (LAP) to minimize the power consumption. We propose a dynamic algorithm which attempts to maximize the received power at ABS by moving it between multiple points within its coverage area. Furthermore,...
In this paper a new method is proposed for ranking members of the set with uncertainty in the center of set. It means that the set's center is considered as multi objects rather that single object. The degree of belonging to the set is defined based on general type-2 fuzzy membership values which the primary variable indicates the closeness to the each center; and the secondary variable indicates...
Currently, some universities and colleges in Palestine use a traditional assessment method to evaluate their faculty members' performance each semester, while some use e-forms that are being evaluated manually. However, these processes are not flexible or accurate enough to give fair and non-prejudiced feedback. Moreover, it takes a long time to ensure the information quality of the data inputs as...
Parallel, scientific applications running on massively parallel supercomputers commonly produce large numbers of large data files. While parallel filesystems improve the performance of file generation, post-processing activities such as archiving and compressing the data or performing routine format transformations are often run sequentially (and therefore slowly), squandering the supercomputer's...
The paper presents a new approach for determining the three-dimensional second-order mathematical model for empirical yield data on the basis of constructing a linear heteroskedasticity equation.
The plasma frequency — height profile of the ionosphere has an important impact on sky-wave HF communications. In this study, the profile obtained over a geographical region is fit to linear and spherical plane models by using the least-squares method. Conformity of these models to the plasma frequency-height profile is verified by comparing to the profile provided by IRI-Plas-G for a region around...
APCO Project-25 the standard for public safety radio networks defines narrow band data links (12.5KHz) and provides 9600 bps data rate. There can be 1000–5000 users in a network and current broadcast techniques are inefficient. The current system broadcasts by transmitting to individual receivers one by one. Also, if there is any packet not received by at least one user, it is retransmitted. On the...
This paper mainly focuses on model of photovoltaic cell for energy harvesting application (EHV). This model is developed using the standard simulation software LTspice to explore the effect of electrical and physical parameters on Current-Voltage (I-V) and Power-Voltage (P-V) characteristics of photovoltaic cell (PV). The proposed model is based on mathematical equations and is described through an...
Measurement and evaluation has always been in the center of discussion in education. The findings are used in critical decision making on the students and on the teaching profession. Students will be granted grades of performance based on this measurement that indicates their level of achievement in their learning process. However, in making correct measurement, correct measurement tool and reliable...
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