many large oil and gas fields in the most productive world regions happen to be fractured. the exploration and development of these reservoirs is a true challenge for many operators. these difficulties are due to uncertainties in geological fracture properties such as aperture, length, connectivity and intensity distribution. to successfully address these challenges, it is paramount to improve ...

In this paper, we propose Speaker Identification using the frequency distribution of various transforms like DFT (Discrete Fourier Transform), DCT (Discrete Cosine Transform), DST (Discrete Sine Transform), Hartley, Walsh, Haar and Kekre transforms. The speech signal spoken by a particular speaker is converted into frequency domain by applying the different transform techniques. The distributio...

Abstract Generalizing dialogue state tracking (DST) to new data is especially challenging due the strong reliance on abundant and fine-grained supervision during training. Sample sparsity, distributional shift, occurrence of concepts topics frequently lead severe performance degradation inference. In this paper we propose a training strategy build extractive DST models without need for manual s...

We use data fusion in our automatic target recognition (ATR) system to identify and track airbourne objects. The fusion process allows for a much more robust conclusion to be drawn from what may well be incomplete data. The method we use for the fusion process is twofold. The Transferable belief model (TBM), which is derived from Dempster Shafer Theory (DST) is used for matching type and Kalman...

The DST combination rule is studied and corresponding rigorous proofs of its properties are given, including two properties, i.e., sequential DST combination rule meets the commutative law and associative law; the sequential DST combination rule and the centralized DST combination rule are equivalent. The two properties show that the fusion result of multiple evidence sources is irrelevant to f...

In this paper, fast and efficient discrete sine transformation (DST) algorithms are presented based on the factorization of sparse, scaled orthogonal, rotation, rotation-reflection, and butterfly matrices. These algorithms are completely recursive and solely based on DST I-IV. The presented algorithms have low arithmetic cost compared to the known fast DST algorithms. Furthermore, the language ...

Advocates of dynamical systems theory (DST) sometimes employ revolutionary rhetoric. In an attempt to clarify how DST models differ from others in cognitive science, I focus on two issues raised by DST: the role for representations in mental models and the conception of explanation invoked. Two features of representations are their role in standing-in for features external to the system and the...

We examine developmental systems theory (DST) with two questions in mind: What does DST explain? How does DST explain it? To answer these questions, we start by reviewing major contributions to the origins of DST: the introduction of the idea of a "developmental system", the idea of probabilistic epigenesis, the attention to the role of information in the developmental system, and finally the e...