for traffic congestion-based spatial partitioning of large urban road networks. It aims to identify different sub-networks or partitions that exhibit homogeneous traffic congestion patterns internally, but heterogenous to others externally. To this end, we develop a two-stage procedure within our framework

the mission of improving DoD’s understanding of the national security implications of the Information Age. Focusing upon improving both the state of the art and the state of the practice of command and control, the CCRP helps DoD take full advantage of the opportunities afforded by emerging technologies. The CCRP pursues a broad program of research and analysis in information superiority, information operations, command and control theory, and associated operational concepts that enable us to leverage shared awareness to improve the effectiveness and efficiency of assigned missions. An important aspect of the CCRP program is its ability to serve as a bridge between the operational, technical, analytical, and educational communities. The CCRP provides leadership for the command and control research community by: n n

Abstract not found

roads from dense point clouds in large scale

Abstract | Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under

curb and lanes detection for autonomous driving on urban scenarios

curb and lanes detection for autonomous driving on urban scenarios

Digital Equipment Corporation This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compared to most other software distributed shared memory systems is that shared data can be kept coherent at a fine granularity. In addition, the system allows the coherence granularity to vary across different shared data structures in a single application. Shasta implements the shared address space by transparently rewriting the application executable to intercept loads and stores. For each shared load or store, the inserted code checks to see if the data is available locally and communicates with other processors if necessary. The system uses numerous techniques to reduce the run-time overhead of these checks. Since Shasta is implemented entirely in software,

Introduction. One of the major debts that economists, legal scholars, and other social scientists owe Ronald Coase is that his work drew attention to the institutional structure of production. 1 Through the late 1970s at least, the dominant neoclassical paradigm in economics focused on the behavior of firms in different market settings under the assumption that the underlying institutions were well-defined and operational. If they were not, market-like forces would generate pressures for institutional change; in other words, the market continually disciplined institutions so that they could not stray far from what would be considered optimal. Hence, institutions, as such, were neglected, deemed undeserving of serious scholarly concern. The wide exposure of Coase's work; his winning of the Nobel prize in economics in 1991; Douglass North's similar award in 1993; and the provocative questions raised by other scholars, such as Oliver Williamson, Harold Demsetz, a

This research is concerned with the automatic generalisation of road networks from a single detailed database. The challenge of representing networks at changing scales is that we retain the essence of connectivity and continuity throughout the network, whilst reducing the level of detail