Over the last few years, LAN technologies have been driven by the need to support an increasing number of users as well as bandwidth intensive applications. As new and existing network applications evolve to embrace high-resolution graphics, video and other rich media types, pressure is growing at the desktop, the server, the hub and the switch for increased bandwidth. All this has led to new network protocols needed to support the amount of information required. In this thesis, we will briefly review conventional networking protocols and internetworking devices. Then we present a table comparing ...

Geographic Information Systems (GIS) have gone a great way since it has started as a science. GIS is making headlines in a number of disciplines and, through its advancement, has improved our ability to model our real world. In the past years the need to support the storage and retrieval of dynamic changes, which occur to our data, has increased which consequently led to the interest in spatio-temporal behavior in GIS. These years have also seen the birth of several spatio-temporal data Models, whose aim is to support this spatio-temporal behavior. The main aim behind Spatio-Temporal support is ...

Recent research in Geographic Information Systems (GISs) has created the kind of systems capable of modeling a number of interesting real world phenomena. Some applications where GISs have made significant contribution include routing, scheduling, dispatching, transportation logistics, vehicle tracking, market research, construction Planning, facility management and resource distribution. However, there seems to exist little connection between GIS solutions and much related research being carried out in other disciplines. This thesis studies the advantages of integrating recent research in ...

This thesis discusses Artificial Economy with applications to Reinforcement Learning. It focuses first on Reinforcement Learning, comparing it to other types of learning such as Supervised Learning. It then covers a historical overview of the field and summarizes the current works. The work described in this thesis has a psychological approach as we focus on reward and punishment. We experiment Artificial Economy with a prototype which solves the Blocks World problem. We then show how the Artificial Economy approach can be integrated with other concepts of Reinforcement Learning techniques.

This thesis discusses the topic of learning in a complex environment. Both the historical basis of the field and a broad selection of the current works are summarized. Reinforcement learning is the problem faced by an agent that learns behavior through trial-and-error interactions with a dynamic environment. The work described here has a resemblance to work in psychology, but considerably in the details and in the use of the word "reinforcement". We describe the foundations of new field of reinforcement learning named artificial economy. We experiment with a prototype based on the artificial ...

This thesis is motivated by the latest work related to differential compression algorithms as it appears in the work of Ajtai, et al. - 2002. In particular, we pay special attention to delta encoding algorithms that achieve got compression in linear time and constant space. This is important because previous work in this area uses either quadratic time and constant space or linear time and linear space, which is unacceptable for large inputs. In delta encoding, the algorithm reads two different copies of the same file as input, termed the reference copy and the version copy. The output of the ...