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The failure of CSMA in emerging wireless network scenarios

The current family of 802.11 protocols are based on the Carrier Sense Multiple Access (CSMA) mechanism which is a simple and robust means of sharing a channel. However, two current trends in wireless networks point towards a situation where CSMA fails to perform better than pure random access solutions such as ALOHA. The first trend is the ever increasing raw data rate in each generation of 802.11

Use of language in understanding subject matter

In this article a development of the research orientation called phenomenography to include analyses of the use of language in understanding subject matter is presented. The development has its background in research on student learning that was the immediate basis for what was later called phenomenography. The development presented is a continuation of the original research on students´ approache

The Predictive First Order Hold Circuit

The predictive first order hold circuit is introduced and analyzed. The main advantage of this hold circuit is that it gives a continuous control signal. Conditions for causality and a pole placement procedure are presented. Formulas for sampling a linear quadratic Gaussian (LQG) problem are given and are used to analyze an example where the predictive first order hold gives better performance tha

Spring dynamics in shallow lakes: the role of plankton, fish and macrophytes in a changing climate

Shallow lakes such as Lake Krankesjön are characterized by their extended littoral zones, usually covered by submersed and emergent vegetation. In paper 1, I investigated the relationship between turbidity and macrophyte growth (Chara spp.) during spring and summer in Lake Krankesjön and found that the colonization of the lake bed by macrophytes was dependent on turbidity on a non-linear way. Also

Adaptive Multiscale Principal Component Analysis for Wastewater Treatment

Fault detection and isolation (FDI) are important steps in the monitoring and supervision of industrial processes. Biological wastewater treatment (WWT) plants are difficult to model, and hence to monitor, because of the complexity of the biological reactions and because plant influent and disturbances are highly variable and/or unmeasured. Multivariate statistical models have been developed for a