Performance advancements in acoustic communication technology have fostered to provide technical platform for numerous interdisciplinary applications ranging from bathymetry, hydrographic surveys, disaster prevention,...
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Performance advancements in acoustic communication technology have fostered to provide technical platform for numerous interdisciplinary applications ranging from bathymetry, hydrographic surveys, disaster prevention, to tactical surveillance over underwater sensor networks (UWSN). Supporting real-time data transmission over error-prone UWSN is increasingly important as these networks become more widely deployed. Existing UWSN routing protocols caters the requirements of non-real time applications where as delay sensitive applications requires solutions that can improve efficiency and reliability, often dynamically throughout the event detection and data transmission session. Congestion control is vital to achieve a high throughput and a long network lifetime. In particular, it is important for a routing protocol to provide congestion control by incorporating metrics like throughput, delay, packet loss ratio, etc. This paper presents a comparative analysis of UWSN routing protocols over real time multimedia data, using H.265/HEVC encoded video sequences. The aim of this study is to extend the in-built support in UWSN routing protocols for transmission of real time data traffic. The applicability of congestion control protocols in UW framework has been explored and the performance characteristics of the protocols have been studied under different multimedia load conditions with varying mobility. This methodology has been illustrated using the case studies in the military and ocean monitoring domains.
A novel line pilot differential protection principle based on the virtual impedance of fault component is proposed in this paper. First, according to the fault component of the measured current and voltage at both lin...
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The profuse use of software has turned the world into global village where everything is accessible at finger tips. The past studies have confirmed the rapid increase in the demand of software whereas its quality supp...
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The profuse use of software has turned the world into global village where everything is accessible at finger tips. The past studies have confirmed the rapid increase in the demand of software whereas its quality supply has drastically decreased to 6%. As high demand and low supply normally generate numerous problems, many researchers, therefore, have raised their concern to develop software affordable, less time consuming and feasible to achieve organisational ends. The findings of the past research studies have determined the fact that besides technical skills, human resources (i.e., personality type for team composition) is of pivotal importance for developing software which has not been seriously addressed. This study has tried to address this prevailing problem by focusing on patterns of personality types of programmer role monitored with team-leader. Additionally, to draw the attention of practitioners, the results are validated with several classification techniques and results appeared with high accuracy. The study has implications on both software developers and researchers having their interest in role of team composition in software development.
In semiconductor manufacturing, wafer residency time constraints make the scheduling problem of cluster tools complicated. A process module (PM) in cluster tools is prone to failure. It is crucial to deal with any suc...
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Recently,a family of quadratic APN functions was demonstrated by Bracken et *** exist over F22k with k even and 3 *** family of APN functions was firstly proposed by Budaghyan et *** they exist provided the existence ...
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Recently,a family of quadratic APN functions was demonstrated by Bracken et *** exist over F22k with k even and 3 *** family of APN functions was firstly proposed by Budaghyan et *** they exist provided the existence of a quadratic polynomial of the type x2s+1+cx2s+c2k x+1 with no zeros in *** et *** such polynomials when k is even and 3 *** this paper,we show that such polynomials exist for all even integers *** a result,the APN functions over F22k exist for all even ***,the Walsh spectra of these APN functions is shown to be the same as the one of the Gold APN *** gives a positive answer to one conjecture.
In this work the applicability of active and passive measurement techniques for the Radon’s concentration level (222Rn) evaluation in historical heritage buildings is studied. In particular, for a given lithology of ...
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Using an ytterbium-doped-phosphosilicate double-clad leakage channel fiber with ~50μm core and ~420μm cladding, we have achieved ~70% optical-to-optical efficiency at 1018nm. The much larger cladding enables use of ...
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Convective weather, recognized as the leading contributor to delays in the National Airspace system, causes demand-capacity imbalance in the airspace. Strategic air traffic management aims to resolve the imbalance for...
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Device-to-Device (D2D) communication that enables nearby mobiles to directly communicate one with another is a new paradigm aimed at increasing the capacity of next-generation wireless networks. The coexistence of D2D...
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Device-to-Device (D2D) communication that enables nearby mobiles to directly communicate one with another is a new paradigm aimed at increasing the capacity of next-generation wireless networks. The coexistence of D2D and cellular communication in the same spectrum poses new challenges for resource allocations and interference management in a large-scale wireless system where each mobile strategically selects its mode of communications. This paper formulates a game-theoretic framework to capture the distributed strategic behavior of a large population of mobiles in selecting their mode of communications. In particular, we investigate the impact of Queue State Information (QSI) of the base station (BS) on the mobile decisions, and we show that the common knowledge of QSI can induce bad quality of service for standard cellular traffic, when the capacity of the base station is below a certain threshold. This paradox will be used to guide the design of optimal learning and scheduling algorithms for the coexisting D2D communication networks.
The availability of accurate solar radiation data is essential for designing as well as simulating the solar energy systems. In this study, by employing the long-term daily measured solar data, a neural network auto-r...
The availability of accurate solar radiation data is essential for designing as well as simulating the solar energy systems. In this study, by employing the long-term daily measured solar data, a neural network auto-regressive model with exogenous inputs (NN-ARX) is applied to predict daily horizontal global solar radiation using day of the year as the sole input. The prime aim is to provide a convenient and precise way for rapid daily global solar radiation prediction, for the stations and their immediate surroundings with such an observation, without utilizing any meteorological-based inputs. To fulfill this, seven Iranian cities with different geographical locations and solar radiation characteristics are considered as case studies. The performance of NN-ARX is compared against the adaptive neuro-fuzzy inference system (ANFIS). The achieved results prove that day of the year-based prediction of daily global solar radiation by both NN-ARX and ANFIS models would be highly feasible owing to the accurate predictions attained. Nevertheless, the statistical analysis indicates the superiority of NN-ARX over ANFIS. In fact, the NN-ARX model represents high potential to follow the measured data favorably for all cities. For the considered cities, the attained statistical indicators of mean absolute bias error, root mean square error, and coefficient of determination for the NN-ARX models are in the ranges of 0.44–0.61 kWh/m2, 0.50–0.71 kWh/m2, and 0.78–0.91, respectively.
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