Landslides are one of the critical natural hazards that cause human, infrastructure, and economic losses. Risk of catastrophic losses due to landslides is significant given sprawled urban development near steep slopes and the increasing proximity of large populations to hilly areas. For reducing these losses, a high-resolution digital terrain model (DTM) is an essential piece of data for a qual...

The effects of JPEG compression on automated DTM extraction via the approach of feature-based matching are investigated. JPEG lossy compression involves a truncation of higher spatial frequency data, a process which influences the accuracy of computation of grey-value gradients in the feature determination phases of image matching. Resulting accuracy effects on DTM heights obtained via the MATC...

The emergence of multi-core and many-core architectures in embedded systems has increased the energy and thermal challenges faced by such systems. As the technology for microprocessors moves toward the nanometer scale, power density becomes one of the major constraints to the performance improvement of embedded processors. Realtime embedded signal processing tasks on multi-core systems have a h...

In current day microprocessors, exponentially increasing power densities, leakage, cooling costs, and reliability concerns have resulted in temperature becoming a first class design constraint like performance and power. Hence, virtually every high performance microprocessor uses a combination of an elaborate thermal package and some form of Dynamic Thermal Management (DTM) scheme that adaptive...

Distributed Transactional Memory (DTM) aims at introducing a novel programming paradigm combining the simplicity of Transactional Memory (TM)[11] with the scalability and failure resiliency achievable by exploiting the resource redundancy of distributed platforms. These features make the DTM model particularly attractive for inherently distributed application domains such as Cloud computing or ...

This paper describes an approach to single image automatic orientation and point determination by using current ortho-images and a DTM, and the experience gained in its implementation. The procedure proposed automatically extracts and matches feature points in evenly distributed patches on aerial images and ortho-images. A large number of image measurements (up to several thousand) are obtained...

Distributed Transactional Memory (DTM) is an attractive programming paradigm that aims at combining the simplicity of Transactional Memory (TM) with the scalability and failure resiliency achievable by exploiting the resource redundancy of distributed platforms. In these in-memory distributed platforms replication plays a role of paramount importance both for fault-tolerance and performance rea...

Liu et al. (8) assessed the usefulness of five mycobacterial interspersed repetitive-unit (MIRU) loci and RD105 deletiontargeted multiplex PCR (DTM-PCR) (1) to predict M. tuberculosis Beijing strains. They concluded that negative amplification of Mtub02 had sensitivity and specificity comparable to that of DTM-PCR. Mtub02 is a 9-bp repeated sequence that is located 21 bp downstream of the ATG c...

As disfunções temporomandibulares (DTM) são condições biológicas que envolvem sinais e sintomas como dores crônicas na articulação temporomandibular nos músculos da mastigação. O presente estudo tem objetivo identificar quais conceitos psicológicos descritos em artigos de intervenções odontológicas relacionadas à DTM, revisão sistemática. Para isto foram utilizadas três bases dados busca seleçã...

Digital tomosynthesis mammography (DTM) can provide quasi-3D structural information of the breast by reconstructing the breast volume from projection views (PV) acquired in a limited angular range. Our purpose is to design an effective classifier to distinguish breast masses from normal tissues in DTMs. A data set of 100 DTM cases collected with a GE first generation prototype DTM system at the...