background: separate radon and thoron measurements in soil are very important in assessment of internal exposure due to inhalation of such radioactive gases. materials and methods: in this study, a low cost, small size, passive diffusion chamber has been developed for simple measurement of radon-222 and radon-220(thoron) gases separately in soil. the diffusion chamber consists of two films and ...

There are several common conventions in use by the gravitational-wave community to describe the amplitude of sources and the sensitivity of detectors. These are frequently confused. We outline the merits of and differences between the various quantities used for parameterizing noise curves and characterizing gravitational-wave amplitudes. We conclude by producing plots that consistently compare...

Hardware-based malware detectors (HMDs) are a promising new approach to defend against malware. HMDs collect low-level architectural features and use them to classify malware from normal programs. With simple hardware support, HMDs can be always on, operating as a first line of defense that prioritizes the application of more expensive and more accurate software-detector. In this paper, our goa...

A Silicon Drift Detector Front-End and a Smart Readout System different from a trivial zerosuppression is proposed. ON-LINE pre-processing, using a Fast VLSI dedicated Fuzzy Processor, reduces significantly acquisition data volume and hardware requirements. Silicon Drift Detectors Readout and ON-LINE Data Reduction using a Fast VLSI Dedicated Fuzzy Processor 2

This paper presents a novel generalized feature extraction method based on the Expansion Matching EXM method and the Karhunen Loeve KL transform This yields an e cient method to locate a large variety of features with reduced number of ltering operations The EXM method is used to design optimal detectors for di erent features The KL representation is used to de ne an optimal basis for represent...

We consider the problem of detecting known signals contaminated by additive noise with a completely unknown probability density function f: To this end, we propose a new adaptive detection rule. It is defined by plugging a kernel density estimator ^ f of f into the maximum a posteriori (MAP) detector. The estimate ^ f can either be computed off-line from a training sequence or on-line simultane...