Study on Links between Cerebral Infarction and Climate Change Based on Hidden Markov Models

Fire Detection Based on Hidden Markov Models

In this paper, a novel method of real-time fire detection based on HMMs is presented. First, we present an analysis of fire characteristics that provides evidence supporting the use of HMMs to detect fire; second, we propose an algorithm for detecting candidate fire pixels that entails the detection of moving pixels, fire-color inspection, and pixels clustering. The main contribution of this pa...

study of hash functions based on chaotic maps

توابع درهم نقش بسیار مهم در سیستم های رمزنگاری و پروتکل های امنیتی دارند. در سیستم های رمزنگاری برای دستیابی به احراز درستی و اصالت داده دو روش مورد استفاده قرار می گیرند که عبارتند از توابع رمزنگاری کلیددار و توابع درهم ساز. توابع درهم ساز، توابعی هستند که هر متن با طول دلخواه را به دنباله ای با طول ثابت تبدیل می کنند. از جمله پرکاربردترین و معروف ترین توابع درهم می توان توابع درهم ساز md4, md...

the relationship between eq, iq and test format: a study on test fairness

the major aim of this study was to investigate the relationship between iq, eq and test format in the light of test fairness considerations. this study took this relationship into account to see if people with different eq and iq performed differently on different test formats. to this end, 90 advanced learners of english form college of ferdowsi university of mashhad were chosen. they were ask...

Notes on Hidden Markov Models

A Markov model, or Markov chain, can be viewed as a stochastic finite state automaton in which each transition is labeled with a probability in such a way that the set of transitions from a given state have their probability labels adding up to 1. If in addition each state is labeled with an observable symbol, the probability of a string of symbols [x1, x2, ..., xn] (abbreviated as x1,n) is the...

Tutorial on Hidden Markov Models