In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. We build this based on both Finite State Model (FSM) and Statistical Learning Model (SLM). FSM provides two strategies for language understanding and have a high accuracy but little robustness and flexibility. Statistical approach is much more robust but less accurate. Cooperative Model ...

This work uses unique data from three dairy dependent communities in rural Wisconsin to test established theory and empirical studies that link farm structure to local purchasing patterns and community economic development. A theoretical model of purchasing choices is developed to derive the determinants of local purchasing by dairy farms. This model is tested empirically using a double bounded...

This paper combines an analysis of data on security vulnerabilities (published in Bugtraq database) and a focused source-code examination to develop a finite state machine (FSM) model to depict and reason about security vulnerabilities. An in-depth analysis of the vulnerability reports and the corresponding source code of the applications leads to three observations: (i) exploits must pass thro...

Finite State Machine (FSM) synthesis traditionally starts with state minimization and state encoding, which provide codes of minimal length to the FSM with minimal number of states. Recently, there have been studies on encoding with nonminimal length and synthesis on non-minimized FSM. In this paper, we propose the framework of FSM re-engineering, which starts with synthesizing the original FSM...

A common tool for improving the performance quality of natural language processing systems is the use of contextual information for disambiguation. Here I describe the use of a finite state machine (FSM) to disambiguate speech acts in a machine translation system. The FSM has two layers that model, respectively, the global and local structures found in naturally-occurring conversations. The FSM...

In this paper we consider one of the classical finite state machine (FSM) model modifications FSM with time-outs (or timed FSM). In this model in addition to the ordinary transitions under inputs there are transitions under time-outs when no input is applying. The behavior of many modern systems includes time-outs, for example, mobile phones, etc. In the past few years some work have been carri...

R sum This paper presents a new database model, namely Fuzzy Semantic Model (or FSM). FSM enables us to capture effectively the fuzziness and semantics of real-world and provides tools for its formalization and conceptualization within a manner adapted to human perception and reasoning. One of the novelties of FSM is that it authorizes an entity to be a member of several classes at the same tim...

Fluorescent Speckle Microscopy (FSM) is a technology for analyzing cytoskeleton dynamics, giving novel insight into their roles in living cells. New applications of FSM, together with the development of computer-based FSM image analysis, will make FSM the first microscopy-based method to deliver quantitative kinetic readouts at high spatial and temporal resolution for a wide variety of macromol...

In this paper, we employ the finite state machine (FSM) model for networks to investigate fault identification using passive testing. First, we introduce the concept of passive testing. Then, we introduce the FSM model with necessary assumptions and justification. We introduce the fault model and the fault detection algorithm using passive testing. Extending this result, we develop the theorems...