Abstract: The problem of determining the required precision in observations in order to obtain a desired precision in final parameters, classically known as the second order design problem, is revisited in this paper and proposed ...

Abstract: The present paper focuses on the theory of outlier detection in least-squares adjustment. Although the case of a single outlier can be efficiently handled, extensions of the testing theory to the multiple outlier case seem ...

Abstract: Methods based on integer ambiguity determination, such as the least-squares ambiguity decorrelation adjustment (LAMBDA) method, are currently used for precise global navigation satellite system (GNSS) differential positioning. ...

Abstract: In the computation of a geodetic network, it is well known that the least-squares adjustment may not be the ideal solution when gross errors appear. In general there are two fundamental approaches to determining gross ...

Abstract: Robust estimation has proved to be a valuable approach to adjust a surveying network when there are systematic or gross errors in the observations or systematic errors in the functional model. In the present paper we propose ...

Abstract: A two-dimensional (2D) theoretical analysis of the dissolved-oxygen (DO) concentration in rectangular channels is performed. It was assumed that the dissolved-oxygen concentration was affected by constant longitudinal ...

Abstract: Failure assessment diagrams (FADs) constitute a well-known structural integrity evaluation tool that allows structural components containing crack-like defects to be assessed through a simultaneous analysis of fracture and ...

Abstract: The problem considered in this paper is the design and analysis of control strategies for semiactive suspensions in road vehicles. The most commonly used control framework is the well-known ...