In recent years, with the spread of applications such as electronic musical scores has been developed. However, existing electronic musical score applications were developed considering individual use (principally by ...
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ISBN:
(纸本)9781509009886
In recent years, with the spread of applications such as electronic musical scores has been developed. However, existing electronic musical score applications were developed considering individual use (principally by pianists), and when using electronic musical score systems for a wind orchestra, for example, the load placed on the musical performers are effectively the same as when using paper scores. Therefore, in this study we were taking advantage of the characteristics of the tablet terminal, was carried out a proposal and trial production of the electronic musical score system PEANUTS for wind orchestra. Music of the data to be used in the PEANUTS is presupposed to reuse the score of paper that is currently being used. In PEANUTS, was focused on page turn as a load applied to the performer when playing musical piece in wind orchestra, we have proposed system of designating the person in charge of page turn to reduce the load based on algorithm of designating the person in charge of page turn for single music. However, the concert of wind orchestra usually play multiple music. In this paper, we were carried out the evaluation experiment considering the concert program. We were consider to resolve bias of the load value on the part of the performers by considering the concert program.
We present a new numerical and inherently parallel algorithm for solving banded (strictly) diagonally dominant triangular and banded Toeplitz (BDDTT) systems of linear equations. A Taylor polynomial, derived from the ...
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ISBN:
(纸本)9781509042982
We present a new numerical and inherently parallel algorithm for solving banded (strictly) diagonally dominant triangular and banded Toeplitz (BDDTT) systems of linear equations. A Taylor polynomial, derived from the matrix analog of the Taylor Series for evaluating (1-x) ~(-1)where |χ| < 1, is applied, in conjunction with other techniques, to compute an approximate solution to a BDDTT-type system. This method requires O(n log_2n) arithmetic operations (ops) and O(log_2n) parallel steps (steps). Two FFTs and an IFFT of order 2n are the main contributors to the workload. This matches the FFT count for a triangular Toeplitz-matrix-vector multiplication. Clearly then, our method improves on the many algebraic FFT based processes that first determine the triangular Toeplitz matrix that is the inverse of a BDDTT matrix in order to then solve the associated BDDTT system.
Dilute nitride GaNP is potentially useful as the top junction in dual-junction solar cells on Si because it has a tunable direct-bandgap and small lattice mismatch with Si. Investigations on GaP are the first step tow...
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ISBN:
(纸本)9781509019656
Dilute nitride GaNP is potentially useful as the top junction in dual-junction solar cells on Si because it has a tunable direct-bandgap and small lattice mismatch with Si. Investigations on GaP are the first step toward this goal. Our best GaNP solar cell on GaP ([N] = 1.8%, Eg = 2.05 eV) achieves an efficiency of 7.9%, which is 3 times higher than the most efficient GaP solar cell to date and higher than other solar cells with similar direct bandgap (InGaP, GaAsP). We also report GaP/GaNP core/shell microwire solar cells utilizing top-down reactiveion etching to create the GaP cores and molecular beam epitaxy to create the GaNP shells. Systematic studies of cell performance over a series of microwire lengths, array periods, and sidewall morphologies, examined by transmission electron microscopy, were conducted to shed light on performance-limiting factors and to optimize the cell efficiency.
This paper deals with the estimation of intrinsic and extrinsic parameters in a fundus camera system. These parameters are fundamental to retrieve three-dimensional reconstruction of eye's structure, in our case, ...
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The challenging problem of forecasting a given time series as accurately as possible is reality in different areas of expertise. The requirement of achieving reliable forecasts, for assisting the new generation of sof...
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ISBN:
(纸本)9781509006212
The challenging problem of forecasting a given time series as accurately as possible is reality in different areas of expertise. The requirement of achieving reliable forecasts, for assisting the new generation of soft sensors, requests the development of novel smart mechanisms to be integrated into the available forecasting models. This current paper improves the previous work of Coelho et al. [1], [2], introduced in the 2014 WCCI, which introduced a Hybrid Self-adaptive Forecasting Model (HFM), calibrated using an evolutionary metaheuristic. Here, an expert input selection assisted by the use of Neighborhood Structures is used for learning the dataset provide in the CIF 2016 forecasting competition. Two different metaheuristic algorithms are used for training the HFM, computational experiments are conducted for optimizing both models. By selecting the maximum lag to be used by our model and, consequently, defining a rate of training cycles, we calibrate the HFM in order to minimize Symmetric Mean Absolute Percentage Errors. Blind forecasts generated by the model will be submit to the competition.
In this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is considered. The problem involves several PEVs and a microgrid community, composed of small houses...
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In this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is considered. The problem involves several PEVs and a microgrid community, composed of small houses, residential areas, and different Renewable Energy Resources. Three different objectives are considered: microgrid total costs; usage of PEV batteries and maximum grid peak load. In order to find sets of non-dominated solutions, a matheuristic black box solves several Mixed Integer Linear programming (MILP) subproblems. We improve a previously developed MILP model and design a new multi-objective matheuristic including new problem initialization mechanisms.
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