A Decomposition of the Noe Intensity Matrix

1994 ◽  
pp. 225-228
Author(s):  
Thérèse E. Malliavin ◽  
Marc A. Delsuc
Keyword(s):  
Intensity Matrix

Imaging of rare appendicular non-acral soft-tissue chondromas in adults with histopathologic correlation

2017 ◽  
Vol 59 (6) ◽  
pp. 700-708
Author(s):  
Mohamed Ragab Nouh ◽  
Hanan Abd El-Aziz Amr ◽  
Rola H Ali
Keyword(s):  
Soft Tissue ◽  
Signal Intensity ◽  
Tissue Reaction ◽  
High Signal ◽  
Diagnostic Challenge ◽  
Post Contrast ◽  
Intensity Matrix ◽  
Tissue Edema ◽  
Magnetic Resonance Imaging Mri

Background Soft-tissue chondroma (STC) is a rare benign soft tissue tumor that arises primarily in acral extra-skeletal locations. Occasionally, STCs may arise in more proximal non-acral locations, accompanied by non-classic features that label them as indeterminate lesions and pose diagnostic challenge for both radiologists and pathologists alike. Purpose To explicate the potential of diagnostic imaging in the identification and characterization of appendicular non-acral STCs with emphasis on their morphologic magnetic resonance imaging (MRI) enhancement. Material and Methods Our clinical database records were searched for patients with histologically proven primary soft-tissue chondroid lesions over a five-year period. Two musculoskeletal (MSK) trained radiologists evaluated the imaging studies and an MSK pathologist revised the pathological findings. Results The study included six cases of appendicular non-acral STCs (mean age = 40.5 years). The mean size of the tumors was 5.6 cm, with four localized to the knee region, one in the thigh, and one in the sternoclavicular region. All cases showed high signal intensity matrix with low-signal intensity septa on T2-weighted MRI and post-contrast marginal/septal enhancement. The lesions were lobulated and lacked host tissue reaction except for one showing subjacent mild soft-tissue edema. Histologically, the cases lacked overt features of malignancy although one was originally misdiagnosed as chondrosarcoma. Conclusion Non-acral STCs are benign cartilaginous tumors that may pose a diagnostic challenge, both radiologically and pathologically. Collaborative imaging and pathologic workup is needed for better characterization of non-aggression of these lesions, and to avoid diagnostic pitfalls and unnecessary radical resections.

Headlamp Luminous Intensity Matrix Adjustment Factors for Modeling Traffic Sign Performance

2005 ◽  
Author(s):  
H. Gene Hawkins ◽  
Paul J. Carlson ◽  
Susan T. Chrysler
Keyword(s):  
Luminous Intensity ◽  
Traffic Sign ◽  
Intensity Matrix ◽  
Adjustment Factors

Ultrasonic Flaw Recognition by Multi-Angle Phased Array Data Integration

2020 ◽  
Vol 3 (3) ◽  
Author(s):  
Wei Zhang ◽  
Xinyan Wang ◽  
Xuefei Guan
Keyword(s):  
Phased Array ◽  
Ultrasonic Inspection ◽  
Speckle Noise ◽  
Connected Component ◽  
Raw Data ◽  
Filtering Method ◽  
Intensity Matrix ◽  
Ultrasonic Flaw ◽  
Inspection Data ◽  
Inspected Object

Abstract This study presents a method of ultrasonic flaw identification using phased array ultrasonic inspection data. Raw data from each individual channel of the phased array ultrasonic inspection are obtained. The data trimming and de-noising are employed to retain the data within the boundary of the inspected object and remove the speckle noise components from the raw data, respectively. The resulting data are passed into a sequence of signal processing operations to identify embedded flaws. A shape-based filtering method is proposed to reduce the intensity of geometric noise components due to the non-uniform microstructures introduced in the manufacturing process. The resulting data matrices are integrated to obtain the intensity matrix of the possible flaw regions. Thresholding is applied to the intensity matrix to obtain the potential flaw regions, followed by a connected component analysis to identify the flaws. The overall method is demonstrated and validated using realistic phased array experimental data.

scholarly journals On truncations for weakly ergodic inhomogeneous birth and death processes

2014 ◽  
Vol 24 (3) ◽  
pp. 503-518 ◽  
Author(s):  
Alexander Zeifman ◽  
Yacov Satin ◽  
Victor Korolev ◽  
Sergey Shorgin
Keyword(s):  
Error Bounds ◽  
Truncation Error ◽  
Time Error ◽  
Birth And Death Processes ◽  
Intensity Matrix ◽  
Intensity Functions ◽  
Arbitrary Intensity ◽  
Reduced Intensity

Abstract We investigate a class of exponentially weakly ergodic inhomogeneous birth and death processes. We consider special transformations of the reduced intensity matrix of the process and obtain uniform (in time) error bounds of truncations. Our approach also guarantees that we can find limiting characteristics approximately with an arbitrarily fixed error. As an example, we obtain the respective bounds of the truncation error for an Mt/Mt/S queue for any number of servers S. Arbitrary intensity functions instead of periodic ones can be considered in the same manner.

scholarly journals The influence of risk management on the project portfolio success – proposal of a risk intensity matrix

2021 ◽  
Vol 28 (2) ◽  
Author(s):  
Ricardo Luis Zanfelicce ◽  
Roque Rabechini Jr
Keyword(s):  
Risk Management ◽  
Portfolio Management ◽  
Durable Goods ◽  
Industrial Sector ◽  
Project Portfolio ◽  
Intensity Matrix ◽  
Management Processes ◽  
Survey Results ◽  
Object Of Study

Abstract: This article aims to understand how the risk management influences the project portfolio success. Two methodological approaches were selected in this research: a bibliometric survey followed by a case study. The object of study was the new products project portfolio of an organization from the industrial sector, manufacturer of durable goods. The findings revealed a low intensity of project portfolio risk management. This is aligned with the bibliometric survey results and with the evidence from the investigation performed on the case study unit. In order to evaluate the risk management influence over the portfolio success, this article proposes a matrix which suggests the risk management intensity associated with the project portfolio management processes. The proposed matrix application can be considered a contribution element to deepen the knowledge of the risk management influence on the project portfolio success.

Randomization of intensities in a Markov chain

1979 ◽  
Vol 11 (2) ◽  
pp. 397-421 ◽  
Author(s):  
M. Yadin ◽  
R. Syski
Keyword(s):  
Markov Chain ◽  
Markov Process ◽  
State Space ◽  
Continuous Time ◽  
Markovian Process ◽  
Time Parameter ◽  
Discrete State ◽  
Intensity Matrix ◽  
The Matrix ◽  
Discrete State Space

The matrix of intensities of a Markov process with discrete state space and continuous time parameter undergoes random changes in time in such a way that it stays constant between random instants. The resulting non-Markovian process is analyzed with the help of supplementary process defined in terms of variations of the intensity matrix. Several examples are presented.

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