To investigate the distribution of tumour cells expressing the SYT-SSX fusion gene in biphasic synovial sarcoma, modified reverse transcription polymerase chain reaction (RT-PCR) analysis was performed using microdissected specimens from haematoxylin and eosin stained sections of archival paraffin wax embedded tissues. This modified RT-PCR included a stage with degenerate oligonucleotide primed...

We study a problem in decentralized supervisory control coined the Global Problem (GP) by Rudie and Wonham (1992). The objective is to nd local supervisors that generate languages that lie in a speci ed range of closed languages. We present results for a version of this problem called the Special Global Problem, (SGP) where the lower end of the range is empty and the higher end of the range is ...

— In this paper we consider the problem of optimal power allocation for fusion of a deterministic signal in an inhomogeneous wireless sensor network (WSN) with correlated observations. We assume that each distributed node performs analog-relay ampli er local processing on its observation and transmits locally processed data to the fusion center over a wireless channel. We also assume that the c...

Fusion frames were recently introduced to model applications under distributed processing requirements. In this paper we study the behavior of fusion frames under erasures of subspaces and of local frame vectors. We derive results on sufficient conditions for a fusion frame to be robust to such erasures as well as results on the design of fusion frames which are optimally robust in the sense of...

Texture information is exploited for classification of HSI (Hyperspectral Imagery) at high spatial resolution. For this purpose, framework employs to LBP (Local Binary Pattern) to extract local image features such as edges, corners & spots. After the extraction of LBP feature two levels of fusions are applied along with Gabor feature & spectral feature, i.e. Feature level fusion & Decision leve...

Distributed multi-sensor fusion has been widely used in military and civilian applications. In the statistical sensor fusion domain, the design of an optimal fusion processor usually requires the joint statistics of the local sensor outputs. When accurate joint statistical knowledge is not readily available, popular solutions are either to estimate the joint statistics from training data or to ...