In this paper we present Monte Carlo (MC) methods as a useful tool to implement adaptive behaviors. Using examples from MC integration, sequential MC methods, and importance sampling, we show the relevance of MC techniques to implement adaptive inference engines. In particular, continuing our probabilistic agent based approach presented at IWSAS 2001, we describe the particle filter as a powerf...

This paper presents an algorithm for exact pattern matching based on a new type of Bloom filter that we call a feed-forward Bloom filter. Besides filtering the input corpus, a feed-forward Bloom filter is also able to reduce the set of patterns needed for the exact matching phase. We show that this technique, along with a CPU architecture aware design of the Bloom filter, can provide speedups b...

This paper is concerned with two different mechanisms of attention in auditory signal detection. One alters the width of a Gaussian filter (or attention band), whereas the other changes the tuning. that is. the placement of its center. To formalize these mechanisms, we first consider auditory energy-detection. To explore the effect of a randomly tuned filter, both unifonn and normal density dis...

Introduction: Congenital hypothyroidism is the most common endocrine disease and is a major cause of preventable mental retardation. In most cases, it seems quite natural born at birth with delayed diagnosis, complications will cause irreparable brain. Now almost all industrialized countries and many developing countries the newborn screening program to systematically do. Khorasan Province neon...

Kerr frequency comb generation in microresonators is enabled by notable developments fabrication technology and novel nonlinear material platforms. However, even a low loss highly microresonator, the avoided resonance crossing may hamper reliable generation. We present method to suppress induced polarization mode coupling. Our approach employs filter waveguide coupled microring resonator for se...

The present study investigated the ability of normal-hearing listeners and cochlear implant users to recognize vocal emotions. Sentences were produced by 1 male and 1 female talker according to 5 target emotions: angry, anxious, happy, sad, and neutral. Overall amplitude differences between the stimuli were either preserved or normalized. In experiment 1, vocal emotion recognition was measured ...

We present a novel methodology for the automated segmentation of Glioblastoma Multiforme tumors given only a highresolution T1 post-contrast enhanced channel, which is routinely done in clinical MR acquisitions. The main contribution of the paper is the integration of contextual filter responses, to obtain a better class separation of abnormal and normal brain tissues, into the multilevel segme...

in this research, active capacitance circuit and the feature of negative resistance are analysed in details. also, a new active filter is presented based on active capacitance circuit. for simulations, we used matlab and advanced design system(ads). proposed active filter (rf) is a narrow band filter. the results of simulation shows some aspects of sustainability and low noise feature. the circ...

abstractbackground: an electron beam generated x-ray spectrum consists of characteristic x-ray and continuous bermsstrahlung. the aim of this research is calculating and comparing x-ray spectra for different target filter of mammograms. materials and methods: monte carlo is a very powerful tool to simulate a series of different target-filter assembly in order to calculate the x-ray spectra. mcn...

brain-computer interfaces (bci) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. these systems do not use normal neuromuscular output pathways. actually, the principal goal of bci systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic la...