On the Flow-level Dynamics of a Packet-switched Network

The packet is the fundamental unit of transportation in modern communication networks such as the Internet. Physical layer scheduling decisions are made at the level of packets, and packet-level models with exogenous arrival processes have long been employed to study network performance, as well as design scheduling policies that more efficiently utilize network resources. On the other hand, a user of the network is more concerned with end-to-end bandwidth, which is allocated through congestion control policies such as TCP. Utility-based flow-level models have played an important role in understanding congestion control protocols. In summary, these two classes of models have provided separate insights for flow-level and packet-level dynamics of a network

Predicting \u27Attention Deficit Hyperactive Disorder\u27 using large scale child data set

Attention deficit hyperactivity disorder (ADHD) is a disorder found in children affecting about 9.5% of American children aged 13 years or more. Every year, the number of children diagnosed with ADHD is increasing. There is no single test that can diagnose ADHD. In fact, a health practitioner has to analyze the behavior of the child to determine if the child has ADHD. He has to gather information about the child, and his/her behavior and environment. Because of all these problems in diagnosis, I propose to use Machine Learning techniques to predict ADHD by using large scale child data set. Machine learning offers a principled approach for developing sophisticated, automatic, and objective algorithms for analysis of disease. Lot of new approaches have immerged which allows to develop understanding and provides opportunity to do advanced analysis. Use of classification model in detection has made significant impacts in the detection and diagnosis of diseases. I propose to use binary classification techniques for detection and diagnosis of ADHD

Innovation strategies in central Europe: a corporate perspective

This paper seeks to outline the innovations strategies that various corporations have pursued in Central Europe over the last few decades. It will examine from a corporate perspective the scope and definition of innovation, highlighting how this has changed in today's eclectic ever changing environment. Drawing upon cases studies, this paper will highlight best practice in formulating innovation strategies within Central Europe. In conclusion, it will be argued that in spite of living in an environment where the pressure for companies to constantly reinvent some part of themselves is increasing, companies could greatly benefit from taking time to pause and consider how they can capitalise on the key lessons and best practice considerations that have arisen