Today's high-speed switches employ an on-chip shared packet buffer. The buffer is becoming increasingly insufficient as it cannot scale with the growing switching capacity. Nonetheless, the buffer needs to face highly intense bursts and meet stringent performance requirements for datacenter applications. This imposes rigorous demand on the Buffer Management (BM) scheme, which dynamically allocates the buffer across queues. However, the de facto BM scheme, designed over two decades ago, is ill-suited to meet the requirements of today's network.

When the state feedback control is carried out for the positioning anti-swing of bridge crane, the values of state variables such as trolley displacement and trolley speed, load swing angle and swing angle speed need to be obtained in real time. In practical engineering application, it is easy to measure the displacement of trolley with sensor, but it is difficult to measure the load swing angle and swing angle speed. To solve this problem, a fuzzy state feedback control method on the base of T-S fuzzy observer is proposed in this paper. Firstly, a nonlinear T-S fuzzy observer is designed to estimate the trolley speed, load swing angle and swing angle speed signal online by the trolley position signal. Then the fuzzy state feedback controller is designed, the original system state variables and observer errors are formed into an augmented state vector, and the stability of the augmented system is proved by Lyapunov stability theory. Finally, the feasibility and effectiveness of this method are verified by MATLAB simulation.

In this paper, a model-free adaptive sliding-mode control method is proposed for the double-swing effect of the overhead crane system. Among them, the model-free adaptive controller can get rid of the influence of mathematical model accuracy on the control system, and the discrete sliding mode controller can effectively reduce the jitter of the system. By analyzing the simulation results, it is proved that the method has the characteristics of short response time and strong robustness to external disturbances and uncertainties.

BACKGROUND: Once specific genes are identified through high throughput genomics technologies there is a need to sort the final gene list to a manageable size for validation studies. The triaging and sorting of genes often relies on the use of supplemental information related to gene structure, metabolic pathways, and chromosomal location. Yet in disease states where the genes may not have identifiable structural elements, poorly defined metabolic pathways, or limited chromosomal data, flexible systems for obtaining additional data are necessary. In these situations having a tool for searching the biomedical literature using the list of identified genes while simultaneously defining additional search terms would be useful. RESULTS: We have built a tool, BEAR GeneInfo, that allows flexible searches based on the investigators knowledge of the biological process, thus allowing for data mining that is specific to the scientist's strengths and interests. This tool allows a user to upload a series of GenBank accession numbers, Unigene Ids, Locuslink Ids, or gene names. BEAR GeneInfo takes these IDs and identifies the associated gene names, and uses the lists of gene names to query PubMed. The investigator can add additional modifying search terms to the query. The subsequent output provides a list of publications, along with the associated reference hyperlinks, for reviewing the identified articles for relevance and interest. An example of the use of this tool in the study of human prostate cancer cells treated with Selenium is presented. CONCLUSIONS: This tool can be used to further define a list of genes that have been identified through genomic or genetic studies. Through the use of targeted searches with additional search terms the investigator can limit the list to genes that match their specific research interests or needs. The tool is freely available on the web at http://prostategenomics.org1, and the authors will provide scripts and database components if requested [email protected]