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Model-based software estimation uses algorithms and past project data to make predictions for new projects. This paper presents a comparative assessment of four modeling approaches, including the original COCOMO, COCOMO calibration, k-Nearest Neighbors, and a combination of COCOMO calibration and k-Nearest Neighbors. Our results indicate that using kNN to select the nearest projects and calibrating...
This paper presents the design and the optimization of interstitial microcoaxial applicator antenna for microwave ablation treatment (MWA) of breast cancer. MWA is proposed as a treatment for breast cancer in initial or intermediate stages and involves the application of an electromagnetic field that generates a temperature increase in the cancerous tissue. A model and the validation of microwave...
This paper addresses the issue of control parameter uncertainties in total transfer capability (TTC) calculation for meshed transmission grids with VSC-HVDC. A new concept of TTC embodying control parameter uncertainties (TTCU) is first proposed. And then the calculation model of TTCU for meshed transmission grids with VSC-HVDC and its solving approach are further presented. Simulations are carried...
A convex-optimization approach to H2/H∞ Model-order Reduction (MoR) of continuous-time Linear Time-Invariant (LTI) systems is presented. The new numerical algorithm provides more information about the performance of the reduced-order model and generalizes the previous designs based upon H2 and H∞ norm minimization. Connection between the optimal projection methods and the proposed H2/H∞ algorithm...
The hydrothermal coordination can be defined as a problem to determine the optimum usage of the hydroelectric and thermoelectric resources available during a period. In hydrothermal generation systems with a predominance of hydroelectric power plants, like in the Brazilian system, the problem consists in replacing the thermal generation by hydropower generation to minimize the system operational costs...
In order to describe the inherent hysteresis nonlinearity of the piezo-actuated stages, a Krasnosel'skii-Pokrovskii (KP) model is presented in the paper. The parameters of the KP model are identified by a modified bat optimization algorithm based on Levy fights trajectory. The modified bat optimization algorithm uses the Levy fights trajectory to improve the global searching ability and break away...
Urban congestion in major cities of Malaysia is getting severe over decades with increasing active vehicles and travelling time on the road. Part of Intelligent Transportation Systems development involves advanced computation in traffic management to cope for the projecting congestion trend. This work simulates traffic system and develop an optimising algorithm to instruct the traffic signal timing...
In this paper, two methods of analyzing the double reflector antenna are introduced: the physical optics method (PO) and the shooting and bouncing rays method (SBR). In the process of optimizing the design of reflector antenna, in order to accelerate the calculation speed of the optimization, this paper uses manifold mapping to assist the operation, significantly improving computing speed. Manifold...
This paper deals with the process of identifying the parameters of the dynamic equivalent (DE) load model of an active distribution system (ADN) simulated in RTDS using mean-variance mapping optimization (MVMO) algorithm. MVMO is an emerging variant of population-based, evolutionary optimization algorithm whose features include evolution of its solutions through a unique search mechanism within a...
Large scale scientific applications in general and especially cardiac simulations experience different execution phases at runtime and each phase has different computational and communication requirements. An optimal solution or numerical scheme for one execution phase might not be appropriate for the next phase of the application execution. We propose an autonomic management framework, which is built...
Electric vehicles (EVs) are one of the key technolgies for a sustainable mobility, reducing fuel consumption and traffic related emissions. Until today the energy density of the traction battery is low compared to fossil fuels, resulting in a limited range of EVs. Therefore, an optimization of the overall energy consumption of an electric vehicle is crucial. This paper proposes an optimized velocity...
It is non-trivial to optimise computations of chaotic systems since slightly perturbed simulations diverge exponentially over time due to the well-known butterfly effect if bit-reproducible results are not achieved. Therefore, two model setups that show the same quality in the representation of a chaotic system will show uncorrelated behaviour if integrated long enough, hence it is challenging to...
The solution of the problem of construction of generalized model of production system optimal development is considered. Basis of the model — Bolza variational problem with integrated criterion of the first kind. Solution of the problem by numerical method is based on the method of optimal aggregation of “production, development” structures by simulation method of Hamilton function determination and...
This paper presents a numerical comparison between the second order cone relaxation for single-phase distribution systems and the semidefinite relaxation for the multiphase distribution systems for the optimal power flow problem considering unbalanced load and generation. Towards this end, the IEEE 37-bus test feeder is adapted using four different distribution line models for the various feeder segments...
The paper presents a two-stage model for achieving feasible optimal solution along with numerical validation for the exactness of the available second order cone relaxation in the distribution optimal power flow problem. To this end, the IEEE 13-bus, 34-bus and 123-bus distribution power systems are adapted by balancing the various feeder segments and by populating selected nodes with photovoltaic...
Various methods of identifying cellular automaton models and their state transition functions, in particular, have been proposed. Among these, a method that uses ℓ1-norm optimization can be applied to multi-valued cellular automaton models. When solving this optimization problem, it is important to reduce the computational cost as the size of the problem increases. In this paper, we present a method...
In the paper the approaches how to develop models of electrotechnical objects using the test example of two-winding transformer are discussed. A comparing of the continuous model created using the description of physical processes and discrete macromodel obtained using the “black box” approach based on field experiment are carried out. It is shown that the model obtained using the “black box” approach...
This paper presents two models of AC optimal power flow based Financial Transmission Rights (FTRs) allocation auction. Both models were compared with the conventional DC optimal power flow (DC-OPF) based model. Considering an FTR between two nodes as a real power injection at the source node and a power withdrawal at the sink node; the first model assumes that the net power due to FTRs equals zero...
Scattered data fitting is always a challenging problem in the fields of geometric modeling and computer aided design. As the skeleton based three-dimensional solid model representation, the Ball B-Spline Curve is suitable to fit the tubular scattered data points. We study the problem of fitting the scattered data points with Ball B-spline curves (BBSCs) and propose the corresponding fitting algorithm...
This paper introduces a new approach for solving the navigation problem of Unmanned Aerial Vehicles (UAV) by studying its rotational and translational dynamics and then solving the nonlinear model by the Decomposition Coordination method. The objective is to reach a destination goal by the mean of an autonomous computed optimal path calculated through optimal control sequence. Solving such complex...
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