In this paper, a new algorithm is developed for attitude estimation using Global Positioning System (GPS) signals. The new algorithm is based on a predictive filtering scheme designed for spacecraft without rate measuring devices. The major advantage of this new algorithm over traditional Kalman filter approaches is that the model error is not assumed to represented by an unbiased Gaussian nois...

background: foot ulceration is one of the most common complications associated with diabetes that needs to be managed. in iran, prevalence of diabetes foot ulcer is 3%. according to studies, evidence‑based nursing (ebn) is an effective alternative to facilitate clinical decision making in patient care and may lead to quality improvement in nursing practice. the aims of this study are to assess ...

Background: Wrong attitudes and beliefs about the less carcinogenic effects of hookah smoking comparing to cigarette, easy availability, low cost, and other factors have caused that the usage of hookah smoking increase a lot in our country. Objective: This study has been done with the purpose of examining the influence of education about carcinogenic effects of hookah smoking on the awareness, ...

Objectives: Doping use is seldom an accident – it is a deliberate action often requiring considerable commitment. Attitudes are known to influence this type of action and hence they are likely to be predictive of doping-related behaviours. To measure ‘doping attitude’, a valid and reliable tool is

The well-known Wahba Problem [1] is a non-linear, weighted least-squares problem that seeks to obtain the optimal attitude matrix from a set of at least two independent vector measurements. The most common technique used to solved the Wahba problem is the so-called q-method, developed by Davenport and documented in [2]. The q-method rearranges the Wahba performance index into a quadratic perfor...

This paper reports the findings of an investigation of children’s performance and attitude towards a paper based and computer based test. Twenty children, aged between 7 and 8 of mixed gender, participated in this study using a commercial software application. The children’s attitude towards the software was captured through the use of a smarty-o-meter to indicate their level of preference and ...