1 This paper discusses an architecture designed to provide support for the development of state transition models for an object-oriented distributed environment. The state transition models can be constructed and specified hierachically as well as derived into new classes of objects through the use of inheritance. A new concept called “exit-safe states” is introduced to assist in the specificat...

We study the magnetic susceptibility of mixed-valent La2−xSrxCoO4 single crystals in the doping range of 0.5 x 0.8 for temperatures up to 1000 K. The magnetism below room temperature is described by paramagnetic Co2+ in the high-spin state and by Co3+ in the nonmagnetic low-spin state. At high temperatures, an increase in susceptibility is seen, which we attribute to a temperature-induced spin-...

1Max Planck Institute for Dynamics and Self Organization (MPIDS), D-37073 Göttingen, Germany 2Institute for Turbulence–Noise–Vibration Interaction and Control, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China 3Institute for Nonlinear Dynamics, University of Göttingen, D-37073 Göttingen, Germany 4Laboratory of Atomic and Solid-State Physics and Sibley School of Mechanica...

Generalized Partly Hidden Markov Model (GPHMM) is proposed by modifying Partly Hidden Markov Model (PHMM), and it is successfully applied to the speech recognition. PHMM, which was proposed in our previous paper, is the novel stochastic model, in which the pairs of the hidden states (H-state) and the observable states (O-state) determine the stochastic phenomena of the current observation and t...

Energy demand modeling of machining processes is the foundation of energy optimization. Energy demand of machining state transition is integral to the energy requirements of the machining process. However, research focus on energy modeling of state transition is scarce. To fill this gap, an energy demand modeling methodology of key state transitions of the turning process is proposed. The estab...

Discussion boards, or online asynchronous discussions, have become increasing popular course tools for university-level engineering courses. As a step towards assessing student learning in online discussion, we are investigating whether it is possible to characterize successful versus unsuccessful question and answer (Q&A) type discussions. We use a four-state model in identifying different sta...