The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The downsizing of CMOS technology into the decananometer range has called for the redesign of the ESD protection devices because of the constraints of lower operation voltage and smaller breakdown voltage of the ultrathin gate oxide. In this work, we had developed a two-dimensional diode-triggered silicon-controlled rectifier (TD-DTSCR) structure to cope with the narrowed ESD design window in the...
Traditional ESD protection program cannot meet requirements of higher ESD protection grade and parasitic parameter of protection devices when using V-by-One high-speed interface chip. This paper proposes an effective ESD protection program by way of reverse analysis and design of a VBO-based high-speed interface chip failure case. The program introduces a new SCR structure replacing the original diode...
Conventional H∞filter is much more conservative, as the filter parameters are set in the initial while Kalman filter requires the statistical properties of noise accurately. For the above limitations, this paper proposed an adaptive H2/H∞ filter for multi-sensor integrated navigation systems. The method derives the gain weight coefficient using the theory of matrix inequalities and estimation variance...
This article considers a semiparametric varying-coefficient partially linear regression model. The semiparametric varying-coefficient partially linear regression model which is a generalization of the partially linear regression model and varying-coefficient regression model that allows one to explore the possibly nonlinear effect of a certain covariate on the response variable. A sieve M-estimation...
Shuffled frog-leaping algorithm (SFLA) is a new meta-heuristic population evolutionary algorithm. Shuffled frog-leaping algorithm has fast and excellent global exploration capability. Firstly, the paper introduces the principle of SFLA. Then, the paper analyses the parameters of SFLA. By the examination, the paper validates the effect of parameters to SFLA. The paper compares SFLA with genetic algorithm...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.