HHfrag: HMM-based fragment detection using HHpred

HHfrag: HMM-based fragment detection using HHpred

MOTIVATION Over the last decade, both static and dynamic fragment libraries for protein structure prediction have been introduced. The former are built from clusters in either sequence or structure space and aim to extract a universal structural alphabet. The latter are tailored for a particular query protein sequence and aim to provide local structural templates that need to be assembled in or...

Clause detection using HMM

HMM-Based Abnormal Behaviour Detection Using Heterogeneous Sensor Network

This paper proposes a HMM-based approach for detecting abnormal situations in some simulated ATM (Automated Teller Machine) scenarios, by using a network of heterogeneous sensors. The applied sensor network comprises of cameras and microphone arrays. The idea is to use such a sensor network in order to detect the normality or abnormality of the scenes in terms of whether a robbery is happening ...

Accelerating Dynamic Web Content Delivery Using Keyword-Based Fragment Detection

Recent advances in Web engineering have enabled the rapid growth of dynamic Web services such as Web-based email, online banking, online shopping and entertainment. We envision that finding an effective way to deliver these dynamic Web services and understanding the relationship between Web application design and delivery are two important Web engineering issues, and have not been seriously con...

A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients

In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...