Future considerations would include ne tuning the latent SVM used to train the DPM, using stacked autoencoders to learn more complex feature representations, and optimize runtime of training algorithm to allow for larger training sets. Acknowledgements Special thanks to Professor Andrew Ng and Adam Coates for the advice they provided through the course of this project. Given its performance in ...

We propose a novel power efficient adaptive hybrid dynamic power management (AH-DPM) algorithm. To adapt well to bursty request arrival patterns with self-similarity and a service provider (SP, i.e., hard disk or WLAN NIC, in this paper) with multiple inactive states, the proposed AH-DPM first derives the average idle time of the SP in the bursty (ON) period and non-bursty (OFF) period separate...

Distributed Denial of Service (DDoS) attack is an unavoidable attack. Among various attacks on the network, DDoS attacks are difficult to detect because of IP spoofing. The IP traceback is the only technique to identify DDoS attacks. The path affected by DDoS attack is identified by IP traceback approaches like Probabilistic Packet marking algorithm (PPM) and Deterministic Packet Marking algori...

BACKGROUND Receptors for advanced glycation end-products (RAGE) are cell-surface receptors expressed by alveolar type I (ATI) epithelial cells and are implicated in mechanisms of alveolar development and sustained pulmonary inflammation. OBJECTIVES In the present study, we tested the hypothesis that diesel particulate matter (DPM) up-regulates RAGE in rat ATI-like R3/1 cells and human primary...

Purpose – The purpose of the paper is to introduce the Dynamic Phasor Modelling (DPM) approach for stability investigation and control design of single-phase Phase Locked Loops PLLs. The aim is to identify the system instabilities not predicted using the existent analysis and design methods based on the simplified average model approach. Design/methodology/approach – This paper starts by invest...

1 In this article, we introduce the Internet deployment guidelines for Deterministic Packet Marking (DPM) – a novel IP traceback method. Unlike other packet marking schemes, DPM cannot be deployed sporadically on the Internet. Therefore, in order to perform the traceback, a structured way of deployment is needed. Related to topology and deployment issues, discussion comparing the features of ot...

Underground miners are exposed to some of the highest levels of diesel particulate matter (DPM) in the United States. Therefore, it is important to monitor the exposure of miners to DPM, but it can be difficult because of the complex composition of DPM and the number of interferences. Currently, elemental carbon (EC) is used as a surrogate because it makes up a significant fraction of the DPM a...

The etiological connection between Diesel Particulate Matter (DPM) and heart failure is unclear, despite the fact that multiple experimental studies have found a strong correlation DPM failure. We investigated myocardial infarction using biological big data. Distinct gene expression profiles related to were obtained from open-access genome databases, network analysis software was used investiga...

Long-term reliability of processors is experiencing growing attention since decreasing feature sizes and increasing power consumption have a negative influence on the lifespan. The reliability can also be influenced by Dynamic Power Management (DPM), since it affects the processor’s temperature. In this paper, it is examined how different DPM-strategies for MultiCore processors alter their life...

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...