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This paper presents an optimized scheduling method for Plugged-in Electric Vehicles (PEV) that are connected to a residential smart microgrid. Two modes of operation are studied: grid-tied and islanded mode. A Genetic Algorithm (GA)-based method is utilized to optimize an objective function, which includes the cost of energy production, and guarantees the best possible energy consumption profile....
Microgrids (small-scale power systems optimizing variable generation and loads) that serve a remote island's load requirements demonstrate both the extreme challenges and opportunities in providing reliable power in remote locations. Microgrids which provide The entire power requirements with on-island resources can be considered a complex system. This complex system behavior when better understood...
In this work, the device structure of the mesa-type GaAs:Te blocked-impurity-band detector was designed. The fabrication processes were presented briefly, and optimization of the fabrication processes was investigated. A 3-micron-thick SiO2 film was deposited as resist to substitute for photoresist in the 50-micron-deep mesa etching process. In addition, a bi-layer photoresist lithography technique...
Power consumption is one of the key optimization objectives for modern integrated circuit designs. More than 40% of the total power consumption is contributed by clock trees due to their high frequency of switching and high capacitance. In the traditional physical design flow, placement is done before clock tree synthesis (CTS). CTS constructs a tree to connect the clock source with all the registers...
With the steady increase of offered cloud storage services, they became a popular alternative to local storage systems. Beside several benefits, the usage of cloud storage services can offer, they have also some downsides like potential vendor lock-in or unavailability. Different pricing models, storage technologies and changing storage requirements are further complicating the selection of the best...
Modal filters (MFs) based on multiconductor microstrip lines are investigated for the first time in the frequency domain. The frequency dependences of |£21| up to 10 GHz are obtained. Both computational and full-scale experiments are used. A printed circuit board with prototypes of multiconductor MFs are presented. Two-, three-, four- and five-conductor MFs are investigated. The computational experiment...
In this paper, there is an attempt to introduce a new strategy for the Tone Reservation (TR) technique based on Preconditioned Conjugate Gradient (PCG) algorithm to reduce the Peak-to-Average Power Ratio (PAPR) in multi-carrier modulations. This strategy allows to limit the non-linear distortions that appear in multi-carrier signal Orthogonal Frequency Division Multiplexing (OFDM) and to measure signal...
To automatically design improvements of stochastic numerical optimization algorithms is challenging due to the high computation time required to ensure sufficiently rigorous evaluation of synthesized programs. In this paper, we develop evaluation methodology that is used with the evolutionary automatic programming system ADATE to enhance two variants of the differential evolution algorithm, namely,...
The paper describes the direct torque control of the switched reluctance motor drives. A new engineering way for reducing electromagnetic torque ripples in the switched reluctance motor drives was shown. For this purpose, the constructed 3D model which was formed using the Kompas 3D program is presented in the paper. The results of the optimization and simulation using Matlab/Simulink are given.
This paper proposes a method to determine the droop settings of dispatchable distributed generation units for optimal operation of a droop-controlled DC microgrid. Presently, it is necessary not only to generate power economically but also with minimum emission. Therefore, the objectives considered in this paper are 1) minimizing the total operating cost (TOC); 2) minimizing the emissions from generation...
With the ever increasing volume of video content, efficient and effective video summarization (VS) techniques are urgently demanded to manage the large amount of video data. Recent developments on sparse representation based approaches have demonstrated promising results for VS. While most existing approaches treat each frame independently, in this paper, the block-sparsity, which means the keyframes...
We propose an action parsing algorithm to parse a video sequence containing an unknown number of actions into its action segments. We argue that context information, particularly the temporal information about other actions in the video sequence, is valuable for action segmentation. The proposed parsing algorithm temporally segments the video sequence into action segments. The optimal temporal segmentation...
Dictionary learning algorithms have received widespread acceptance when it comes to data analysis and signal representation problems. However, most existing algorithms assume isotropic noise. This is a restrictive assumption as the noise across samples may be nonuniform in a number of real world application. The aim of this article is to propose a sequential dictionary learning algorithm for measurement...
An optimally tuned Modified Active Disturbance Rejection Control (MADRC) scheme is presented for power system load frequency problem. MADRC has to two gains namely observer gains and controller gains, whose are selected optimally to achieve desired control performance. This paper explores the idea of formulating the tuning problem as a constrained multi-objective optimization problem. To realize this...
Hardware-software (HW-SW) partitioning plays a vital role in design phase of embedded system. The partitioning is a process to map each computation task in an application to either software or hardware. In general, hardware run faster compared to software, but with significant cost and resources utilization. Thus, current embedded system often incorporates a mix of hardware and software component...
Simulation of human bipedal walking through muscle actuation presents an optimization problem with a substantial number of parameters. Calculation of the cost function for this optimization problem, which can be non-differentiable, necessitates significant computational power and resources. In addition, because of the redundant nature of the human musculoskeletal system, the problem is highly prone...
This paper provides details on the new Broadwell server product family designed on 14nm Intel process. This was the first Xeon® server product on this process node. Low power, density optimized product, Broadwell-DE, has upto 8 dual-threaded 64b Broadwell cores [1], 12MB L3 cache, 2 10GT/s Ethernet KR lanes, 2 DDR4–2400MHz memory channels and 24 8GT/s PCIe lanes. Broadwell-SP, a high performance server...
The approaches for the parametric synthesis of the automatic control system (ACS) using the genetic algorithm that performs an approximation of Pareto-optimal solutions set are suggested. As a result, two approaches to multi-criteria optimization of ACS were considered: (1) the optimization problem was considered to be three-criteria for equally important criteria, (2) the optimization problem was...
Identification of the correct medicinal plants that goes in to the preparation of a medicine is very important in ayurvedic medicinal industry. The main features required to identify a medicinal plant is its leaf shape, colour and texture. Colour and texture from both sides of the leaf contain deterministic parameters to identify the species. This paper explores feature vectors from both the front...
Power system stabilizer (PSS) is extensively used to enhance the angular stability by providing damping to the generator's oscillation. An electric torque is enforced in the rotor shaft in phase with the speed variation to provide this damping. In this paper a PSO based Robust Power System Stabilizer (RPSS) design has been proposed depending upon mixed sensitivity based H output feedback control in...
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