Temperature Dependence of Microwave and THz Dielectric Response in Srn + 1TinO3n + 1 (n = 1–4)

The microwave, near-millimetre and infrared (IR) dielectric response of Sr_{n + 1}Ti_nO_{3n + 1} (n = 1–4) Ruddlesden-Popper homologous series was studied in the temperature range 10 to 300 K. Remarkable softening of the polar optical mode was observed in Sr₄Ti₃O₁₀ and Sr₅Ti₄O₁₃ which explains the increase in microwave permittivity and dielectric loss upon cooling. However, both samples have a distinct content of SrTiO₃ dispersed between SrO layers. It is proposed therefore that the observed soft mode originates from the SrTiO₃ microscopic inclusions.     

ANATAGONOMY: a personalized newspaper on the World Wide Web

This paper describes a personalized newspaper on the World Wide Web (WWW), called ANATAGONOMY. The main feature of this system is that the newspaper is personalized without asking the users to specify their preferences explicitly. The system monitors user operations on the articles and reflects them in the user profiles. Differently from conventional newspapers on the WWW, our system sends an interaction agent implemented as a Java applet to the client side, and the agent monitors the user operations and creates each user's newspaper pages automatically. The server side manages user profiles and anticipates how interesting an article would be for each user. The interaction agent on the client side manages all the user interactions, including the automatic layout of pages. Our system has page multiple layout algorithms and the user can switch from one view to another anytime, according to the preference or machine environment. On one of the views, the user can even see all the articles sequentially without performing any operations. We evaluated a scheme in which the user scores each article explicitly, and a scheme in which all the personalization is done automatically. The results show that automatic personalization works well when some parameters are set properly.     

INELASTIC CONSTITUTIVE PARAMETER IDENTIFICATION USING AN EVOLUTIONARY ALGORITHM WITH CONTINUOUS INDIVIDUALS

This paper presents a method for identifying the parameter set of inelastic constitutive equations, which is based on an evolutionary algorithm proposed by the authors. The advantage of the method is that appropriate parameters can be identified even when the measured data are subject to considerable errors and the model equations are inaccurate. The design of experiments suited for the parameter identification of a material model by Chaboche under the uniaxial loading and stationary temperature conditions was first considered. Then the parameter set of the model was identified by the proposed method from a set of experimental data. In comparison to those by other methods, the resultant stress–strain curves by the proposed method correlated well and reliably to the actual material behaviors. © 1997 by John Wiley & Sons, Ltd.