Interacting Multiple Model (IMM) algorithm is proved to be useful in tracking maneuvering targets. The tracking accuracy of the IMM can be further improved by modifying IMM to change its transition probabilities adaptively. A fuzzy logic controller (FLC) is designed to change the transition probabilities of IMM adaptively with innovation and rate of innovation as input parameters. The FLC selec...

in this paper semi-markov models are used to forecast the triple dimensions of next earthquake occurrences. each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. semi-markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. in semi-markov models each zone can be considered as a state...

—Machine prognosis is a significant part of Condition-Based Maintenance (CBM) and intends to monitor and track the time evolution of the fault so that maintenance can be performed or the task be terminated to avoid a catastrophic failure. A new prognostic method is developed in this paper using adaptive neuro-fuzzy inference systems (ANFIS) and high-order particle filtering. The ANFIS is traine...

This paper presents a new on-line recognition of Thai handwri t ten characters. Active researches in Thai handwri t ten character recognition are converged into two distinct methods, H M M a n d Fuzzy logic classifier. T h e former showed poor recognition rate d u e t o Thai fuzzy characters. The shortcoming of t h e la t te r is on difficulties in establishing t h e se t of rules t o cover a w...

This paper links testing of non-stationary time series features to the selection of fuzzy model for time series prediction. The data for model test are obtained from AREMOS, Taiwan. Empirical results show that fuzzy time series models have different performance patterns in predicting non-stationary time series. Data with a clear time trend, such as consumption, exports or other macroeconomic da...

This paper presents several AI (Artificial Intelligent) based embedded gesture recognition procedures for a user interface of a mobile terminal. In the presented solutions, a terminal includes three acceleration sensors positioned like xyz co-ordinate system in order to get three-dimensional acceleration vector, xyz (gesture). The acceleration vector is used as an input to a reasoning unit for ...

Analogical Reasoning (AR) is a method of processing information that compares the similarities between new and past understood concepts, then using these similarities to gain understanding of the new concept. In this work we develop two mathematical models for the description of the process of AR: A stochastic model by introducing a finite ergodic Markov chain on the steps of the AR process and...

Part-of-Speech(POS) tagging is a process of assigning a POS to each word in a sentence. Since many words are often ambiguous in their POSs, POS tagging must be able to select the best POS sequence for a given sentence. Recently, probabilis-tic approaches have shown very promising results to solve such ambiguity problems. Probabilistic approaches, however, usually require lots of training data t...

Abstract Modified Viterbi algorithm of FHMC [10] is the method for tracking the hidden states of a process from a sequence of given observation sequence. An important problem while tracking a process with an FHMC is estimating the uncertainty present in the solution. To overcome this kind of uncertainty we need to compute the entropy of a state sequence. The entropy of a possibilistic variable ...

This paper applies fuzzy vector quantization (FVQ) to the modeling of Discrete Hidden Markov Model (DHMM) and then to improve the speech recognition rate for the Mandarin speech. Vector quantization based on a codebook is a fundamental process to recognize the speech signal by DHMM. A codebook will be first trained by K-means algorithms using Mandarin training speech. Then, based on the trained...