− Recently, a novel approach for the estimation of the residual error parameters of a calibrated vector network analyzer has been proposed. The method is based on a reflection measurement employing a high precision airline terminated by a short. From this measurement the complex valued residual error parameters are calculated utilizing a sophisticated data analysis scheme. In this work the unce...

Minimizing the binary classification error with a linear model leads to an NP-hard problem. In practice, surrogate loss functions are used, in particular loss functions leading to large margin classification such as the hinge loss and the ramp loss. The intuitive large margin concept is theoretically supported by generalization bounds linking the expected classification error to the empirical m...

Abstract: Distributed consensus schemes in the presence of measurement errors are analyzed for both first-order and second-order dynamic agents. The connection between consensus error of coordination variables and the measurement errors is derived. Analytic estimates of consensus error are given. A design problem based on minimizing the “error gain” is thus identified. One simple example illust...

This paper describes a new feedback scheme suitable for block based video transmission as it is in use for H.261 video transmission over IP networks. The new scheme inherently provides support for highly unreliable communication links and thus improves packet switched video transmission over wireless links. The evaluation of the new feedback scheme has been done by means of a prototype implemen...

Abstract: Minimizing the work consumed in refrigeration system is the most effective measure to reduce the cost of products in sub-ambient chemical processes. The introduction of mixed working fluids into refrigeration system in place of pure working fluids is a recent advancement applied in the field. Due to the lack of systematic design method for Mixed Refrigerant Cycle (MRC), conventional a...

Accurate lifetime prediction of lithium-ion batteries is a great challenge for the researchers and engineers involved in battery applications in electric vehicles and satellites.  In this study, a semi-empirical model is introduced to predict the capacity loss of lithium-ion batteries as a function of charge and discharge cycles, operational time, and temperature. The model parameters are obtai...

This paper presents a new registration method called Transitive Inverse-Consistent Manifold Registration (TICMR). The TICMR method jointly estimates correspondence maps between groups of three manifolds embedded in a higher dimensional image space while minimizing inverse consistency and transitivity errors. Registering three manifolds at once provides a means for minimizing the transitivity er...

An exact radio propagation model is important for coping up with new challenges in the field of communication like: appropriate design, deployment and service management strategies for any wireless network. Analysis of outdoor propagation models is important for the purpose of signal coverage prediction, data reception analysis of performance parameters like Rx Lev, Rx Qual, FER, BER, reception...

In this work we explore possibilities for coding when information worlds have different (semantic) values. We introduce a loss function that expresses the overall performance of a coding scheme for discrete channels and exchange the usual goal of minimizing the error probability to that of minimizing the expected loss. In this environment we explore the possibilities of using poset-decoders to ...