This whitepaper describes the programming techniques used to develop an auto-tuning compression scheme for sparse matrices with respect to accelerating matrix-vector multiplication and minimizing its energy footprint, as well as a method for extracting a power profile from a corresponding implementation of the conjugate gradient method. Using two example systems, we show how these techniques ca...

Based on the signal-noise subspace theory, a method of low-rank channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) is presented in this paper. The theory of low-rank linear estimation based on Singular Value Decomposition (SVD) in minimum meansquared error (LMMSE) estimators has been analyzed. A new rank-choose criterion for low-rank approximation is raised. The algorithm’...

The paper introduces a mixture of auto-associative neural networks for speaker verification. A new objective function based on posterior probabilities of phoneme classes is used for training the mixture. This objective function allows each component of the mixture to model part of the acoustic space corresponding to a broad phonetic class. This paper also proposes how factor analysis can be app...

Base metal prices, especially steel, play a significant role in industrial economics, making them worth knowing about future values. In most cases, we expect superior performance from multivariate forecasting models comparing univariate methods due to the involvement of explanatory variables system. Standard vector auto regressive model can only capture short-run dynamics because differencing p...

The power wall has become a dominant impeding factor in the realm of exascale system design. It is therefore important to understand how to most effectively create application software in order to minimize its power usage while maintaining satisfactory levels of performance. In this work, we use existing software and hardware facilities in order to tune applications to minimize for several comb...

background and objectives: auto-induction is usually employed to achieve high cell density and overproduction of proteins with a simple and low-cost operation. the efficiency of heterologous protein expression in escherichia coli is determined by different parameters. interactions between these parameters usually complicate the identification of those that contribute more to the improvement of ...

Sustainable economic growth has become one of the goals concern for policymakers around world. Financial inclusion received significant attention in planning strong policies to achieve goals. This study aims analyze how fast response is due shocks financial depth, access, and stability 34 provinces Indonesia, 2014-2019. uses vector auto-regression (VAR) models Granger causality test main resear...

Penelitian ini bertujuan untuk menganalisis hubungan cadangan devisa, jumlah uang beredar, dan net ekspor terhadap nilai tukar rupiah di Indonesia. Data yang digunakan dalam penelitian adalah data sekunder selama periode Tahun 1988 – 2019. Alat analisis dgunakan ialah metode Vector Auto Regression (VAR). Hubungan beredar tidak sgnifikan Variabel membutuhkan waktu empat sampai delapan tahun kemb...

For the past two decades, the nuclear industry has attempted to move toward a condition-based maintenance philosophy using new technologies developed to monitor the condition of plant equipment during operation. Specifically, techniques have been developed to monitor the condition of sensors and their associated instrument loops while a plant is operating. Traditionally, instruments must be rec...