&lt;title&gt;Soft computing and wireless communication&lt;/title&gt;

Kostrzewski, Andrew A.; Jannson, Tomasz; Kupiec, Stephen A.

doi:10.1117/12.448328

Cited by 3 publications

(5 citation statements)

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“…Also, automatic categorization concept, based on inertial tensor/momentum has been demonstrated. Such quantities can be computed by simple Riemann sum rules and highly-parallel computing such as PUMA [7][8][9][10] .…”

Section: Discussionmentioning

confidence: 99%

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ATR for 3D medical imaging

Jannson

Kostrzewski

Amouzou

2007

Applications of Digital Image Processing XXX

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This paper presents a novel concept of Automatic Target Recognition (ATR) for 3D medical imaging. Such 3D imaging can be obtained from X-ray Computerized Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Ultrasonography (USG), functional MRI, and others. In the case of CT, such 3D imaging can be derived from 3D-mapping of X-ray linear attenuation coefficients, related to 3D Fourier transform of Radon transform, starting from frame segmentation (or contour definition) into an object and background. Then, 3D template matching is provided, based on inertial tensor invariants, adopted from rigid body mechanics, by comparing the mammographic data base with a real object of interest, such as a malignant breast tumor. The method is more general than CAD breast mammography.

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Section: Discussionmentioning

confidence: 99%

“…For the purposes of this paper, we discuss a novel type of parallel computing, developed at Physical Optics Corporation (POC), called PUMA: Parallel Processing by Ultra Memory Access [7][8] , applied previously for Real-Time (RT) and Ultra-Real-Time (URT) video processing [7][8][9] .…”

Section: Pumamentioning

confidence: 99%

ATR for 3D medical imaging

Jannson

Kostrzewski

Amouzou

2007

Applications of Digital Image Processing XXX

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“…[4][5][6][7][8][9][10] . The avoiding high-motion-errors are a necessary condition of continuous communication; thus, M-frames provide a good baseline for real-time pre-ATR video data reduction.…”

Section: I-frames Vs M-framesmentioning

confidence: 99%

Real-time pre-ATR video data reduction in wireless networks

Jannson

Kostrzewski

2006

Automatic Target Recognition XVI

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“…10-times lower video transmission bandwidth (64 kbps) even for high-class video such as VGA or SVGA. 5 . TCP/IP-implanted Q0S-routing permitting the overall latency (processing and network) to be as low as 100 msec (or even less), needed for complete closing of operator UGV feedback ioop.…”

Section: Introductionmentioning

confidence: 95%

“…For drugs that do not require direct injection into a vein, a pneumatic injector can be used for nearly instant delivery ofdrugs to the wounded soldier's system. 5. UGV's evacuation mechanical stability.…”

Section: Introductionmentioning

confidence: 99%