Diesel-operated Load Haul Dumper (LHD) vehicles are commonly used in underground coal mines. Despite their value as utility vehicles, the main drawback of these vehicles is that they generate diesel particulate matter (DPM), a known carcinogenic agent. In this work, an attempt is made to model DPM flows generated by LHDs in an underground coal mine environment for different DPM flow and intake ...

Recent embedded computing platforms offer multiple independent clocks for different components involved in processing a single instruction stream, such as CPU and memory, giving rise to a new category of power management policies, called MultiDVS, where the different components can be clocked down to different degrees, independently. This paper presents the first MutliDVS scheme with dynamic po...

In ?, we introduced a unified hierarchical Bayesian semiparametric model for genetic association studies of quantitative traits in the presence of population stratification. The model uses a Dirichlet Process Mixture (DPM) construction to account for stratification in making association inference. It also involves a nonparametric sparsity prior to accommodate the expectation that most genetic m...

The deformable parts model (DPM) [6] serves as a key component in most modern state-of-the-art object detection systems. At a high level, the DPM composes a single object model by learning to detect and assemble parts of an object. Most modern systems employing the DPM employ densely computed Histogram of Oriented Gradients [5] features at training time. Despite the success of HOG features in m...

A new model of adaptability, the diversified portfolio model (DPM) of adaptability, is introduced. In the 1950s, Markowitz developed the financial portfolio model by demonstrating that investors could optimize the ratio of risk and return on their portfolios through risk diversification. The DPM integrates attractive features of a variety of models of adaptability, including Linville's self-com...

This paper explores the localization of pre-defined semantic object parts, which is much more challenging than traditional object detection and very important for applications such as face recognition, HCI and fine-grained object recognition. To address this problem, we make two critical improvements over the widely used deformable part model (DPM). The first is that we use appearance based sha...

In this paper we present a new modeling technique using software engineering tool Flow Model for modeling and solving the Dynamic Power Management (DPM) with complex behavioral characteristics. Using this tool we can model the whole system easily. Experimental results show that the proposed technique can achieve more than 12% power saving compared to other DPM techniques.

"Deformable Part Model" (DPM) based on "Histograms of Oriented Gradients" (HOG) is known as a robust shape detection algorithm, especially for human body detection. For cat face detection, HOG has been applied since they are quite uniform regardless of the bleed. However, in general, dog faces show larger variation than cat faces. Therefore, we assumed that DPM may work well to the dog face var...

The goal of this research work is to improve the accuracy of human pose estimation using the Deformation Part Model (DPM) without increasing computational complexity. First, the proposed method seeks to improve pose estimation accuracy by adding the depth channel to DPM, which was formerly defined based only on red-green-blue (RGB) channels, in order to obtain a four-dimensional DPM (4D-DPM). I...