This work uses the dual-phase-lag (DPL) model of heat conduction to demonstrate the effect of temperature gradient relaxation time on the result of non-Fourier hyperbolic conduction in a finite slab subjected to a periodic thermal disturbance. DPL model combines the wave features of hyperbolic conduction with a diffusion-like feature of the evidence not captured by the hyperbolic case. For the ...

In this paper, an images similarity measure based on directional gradient angular histogram (DGAH) is proposed. Analysis and experimental results reveal that the proposed technique not only acquires a superior detection performance, but also the invariance to illumination changes and the robustness to translation, scale and rotation of the image object. In addition, the proposed technique is ea...

Image processing has traditionally involved the use of square operators on regular rectangular image lattices. For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. We present a design procedure for hexagonal gradient operators, developed within the finite element framework, for use on hexa...

Sell-side analysts’ recommendations are primarily targeted at institutional investors mandated to invest across many companies within client-mandated equity benchmarks, such as the FTSE/JSE All-Share index. Given numerous sell-side for a single stock, making unbiased investment decisions is not often straightforward portfolio managers. This study explores use of historical create an fusi...

The main challenge for fine-grained few-shot image classification is to learn feature representations with higher inter-class and lower intra-class variations, a mere few labelled samples. Conventional learning methods however cannot be naively adopted this setting -- quick pilot study reveals that they in fact push the opposite (i.e., variations variations). To alleviate problem, prior works p...

Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big changes in measure in a data cube. Cells are considered similar if they are related by roll-up, drill-down, or 1-dimensional mutation operation. Constrained gradient queries are expressive, capable of capturing trends in data ...

Image retrieval is the important technique in image processing. The paper presents the robust object recognition using texture and directional feature extraction. The system proposes texture descriptors such as fast discrete Curvelet transform based entropy feature and local directional pattern. The category recognition is to classify an object into one of several predefined categories. The Fas...