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Hydrokinetic river (HKT) and photovoltaic (PV) panels systems are of the promising technologies to be used for remote rural electrification. In rural areas with access to water and solar resources, renewable generation is a promising option for electrification. This paper presents a study by two sizing methods for a stand-alone hybrid generation system integrating renewable energies (PV panels and...
Due to the increasing complexity of software systems, model-driven engineering has been introduced to shift the developer's focus from machine-centric program code to human-centric models of the software under development. In model-driven approaches, program code in conventional programming languages (e.g., C++, Java) is commonly generated from models and then compiled or interpreted. Intermediate...
Energy is very important for a country for both its economic growth and socio-economic development. The main source of energy is fossil fuels. However, the use of fossil fuels has severe effects on environment like emission of greenhouse gasses. These diverse effects have leads to the demand of renewable energy resources. Renewable energy sources like wind, solar, hydro based energies, etc. are environment...
Multitask evolutionary computation (MT-EC) has been recently identified as a potentially useful paradigm for significant real-world domains. One such domain is the field of software testing. Although a number of evolutionary approaches exist already, there is a lack of strategies that can leverage knowledge from different sources to enhance the search process. In this work, we focus on branch testing...
Renewable Energy Systems are becoming a common choice for small communities in Canada where the cost of diesel fuel is high. In this paper, a PV/Wind hybrid system is being considered for supplying an electrical load of a Mobile office which is proposed and presented along with relevant statistics. An optimal configuration of different renewable energy system is being obtained. The optimal configuration...
Utility grid outages can be tackled by the recently advocated micro-grid concepts, which is envisaged to escalate the use of regionally available renewable energy sources. The objective of this paper is capacity optimization of RES in a practical 5 bus micro-grid considering different operating conditions of both load and sources. The micro-grid consisting of wind turbine, solar panel, hydro and battery...
Oral carcinogenesis, a multistep phenomenon often precedes by oral pre-cancers like leukoplakia (OLK). Differentially expressed (DE) gene analysis of microarray data followed by functional classification provides an idea of alteration of biological functions associated with disease progression. In this context, microRNA (miRNA) microarray data analysis for functional classification is still a challenge,...
In this paper we propose to schedule both real power and voltage settings of generators participating in electricity markets. This can be done by utilizing an extended AC Optimal Power Flow (AC X-OPF). This will provide a one-step method performed by the Independent System Operator (ISO) in charge of electricity market clearing; iterative decisions by the ISO and the system operator ultimately responsible...
Operators solve optimal power flow problems to determine how to adjust generator dispatches and control devices in order to maintain a power system running in a secure and efficient manner. However, optimal power flow software typically make use of a number of control adjustments that is impractical for an operator to execute due to time constraints. Moreover, the common rounding techniques for handling...
Nowadays the mobile devices energy consumption has become a very serious issue. Due to the fast growing mobile industry the current devices usually contain wireless (Wi-Fi, 3G, 4G and Bluetooth), GPS and other heavy network sensitive technologies. The cell battery manufacturers usually cannot keep the pace with this fast altering environment and demands, hence the devices get inappropriate battery...
It has become well-established that software will never become bug-free, which has spurred research in mechanisms to contain faults and recover from them. Since such mechanisms deal with faults, fault injection is necessary to evaluate their effectiveness. However, little thought has been put into the question whether fault injection experiments faithfully represent the fault model designed by the...
Combinatorial Testing (CT) is a black-box testing technique, which is used to test parameterized systems. Real applications often have some special testing requirements, especially parameter constraints. Our experimental results show that existing CT test generators cannot deal with constraints very well as the number of constraints increases. This is due to their constraint solving mechanisms, where...
We present a hardware architecture for efficient implementation of a Gaussian random number generator (GRNG), using the Monty Python method. To maximize the performance/complexity efficiency, an efficient word-length optimization model is proposed to find out both the optimal integer and fractional word-lengths for signals. Experimental results show that our optimized Fixed-Point design achieves a...
Technology scaling has created a catch-22: technology now can do almost anything we want, but the NRE design costs are so high, that almost no one can afford to use it. Our current situation is reminiscent of the 1980's, when only a few companies could afford to produce custom silicon. Synthesis and placement and routing tools changed this, by providing modular tools with well defined interfaces that...
Effective in 2009, the California ISO launched a new market structure that combines advanced unit commitment and dispatch processes with recognition of physical characteristics of the transmission system and generation resources. California's upcoming implementation of aggressive targets for renewable energy will result in new, profound changes in markets and system operations. The CAISO is responding...
Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering problems that require to find an optimal point of operation. However, the PSO algorithm suffers from premature convergence and high elapsed time when solving multimodal and large scale engineering problems. This problem becomes an evident drawback for embedded applications in which the microcontrollers often operates...
We present a hardware description language (currently called “HaSCoL”) which is based on both reliable and unreliable message passing and implicit pipelining of message handlers. The language consists of a small core and a number of extensions, which cover many features of high level software languages as well as high level hardware description languages (HDLs). These extensions have simple projections...
Along with the burst of open source projects, software theft (or plagiarism) has become a very serious threat to the healthiness of software industry. Software birthmark, which represents the unique characteristic of a program, can be used for software theft detection. We propose two system call based software birthmarks: SCSSB (system call short sequence birthmark) and IDSCSB (input dependant system...
Software component techniques are widely used to enhance productivity and reduce the cost of software systems development. This paper proposes optimization of component connections for a component system that is suitable for embedded systems. This component system adopts a static model that statically instantiates and connects components. The attributes of the components and the interface code for...
In a remote coastal region supply of energy from national grid is insufficient for a sustainable development. Integration and optimization of local alternative renewable energy sources is an optional solution of the problem. In this paper we have studied the energetic potential of local sources of renewable energy (hydro, solar and wind). A bottom-up energy system optimization model is proposed in...
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