Soft computing and small system integration

Jannson, Tomasz; Kostrzewski, Andrew A.; Lee, Kang S.; Hester, Todd; Forrester, Thomas; Savant, Gajendra D.

doi:10.1117/12.562332

Cited by 6 publications

(15 citation statements)

References 9 publications

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“…This results in undesirable brightness and contrast inhomogenity as an observer's point of view changes. Therefore, the R 2 T seems to be an important step into manufacturing control/automation as well as Small System Integration [9] , analogous to the FEA (Finite Element Analysis) in advanced mechanical design.…”

Section: Discussionmentioning

confidence: 99%

Ray tracing analysis of display illumination systems

Bennahmias

Jannson

2005

Cockpit and Future Displays for Defense and Security

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Most state-of-the-art commercial, industrial, and military display technologies require some type of backlight illumination. Optimization of such lighting systems with respect to brightness, uniformity, and viewing angle is critical to achieving technical specifications and overall performance of display applications. Considering the substantial cost and risk factors involved in developing advanced displays it becomes important to utilize superior design tools that accurately model the radiometric performance of illumination systems including the behavior of all optical components (quasi-homogeneous sources, optical films, micro-prisms, etc.). To this end, Physical Optics Corporation (POC) has been successfully using an internally developed design platform called R 2 T to perform radiometric ray tracing (R 2 T) of backlights and general lighting applications that incorporate non-Lambertian (elliptic) diffusers and other weakly diffracting optical components. For years POC has been involved in the design of illumination systems for advanced displays including manufacturing expertise in large size web replication of optical films and injection molding of microstructures for display technology.

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Section: Discussionmentioning

confidence: 99%

Ray tracing analysis of display illumination systems

Bennahmias

Jannson

2005

Cockpit and Future Displays for Defense and Security

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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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“…Using trigonometric identity (12) and ignoring the 3 rd harmonic term, (1/4) cos3α, Eq. (16b) becomes: …”

Section: 2mentioning

confidence: 99%

“…(11); while, the cubic term (12) introduces the addition of a linear term (3/4); thus, we can put: D = 0, and the potential energy with an accuracy to cubic term, ax 3 , is:…”

Section: 1mentioning

confidence: 99%

“…Multi-dimensional (3D, 4D, 5D, or higher) modelling with feedback (in order to find essential control variables with high sensitivities) seems essential to mitigate bureaucracy vs. adhocracy through integrative engineering [8] and Small System Integration (SSI) [12] , including: cost, performance, SWaP (Size, Weight and Power), anti-obsolescence, heat management, compliance, etc. We need to define Figure of Merit (FoM) as a state variable with performance function in the nominator and cost/time function in the denominator for corank-one catastrophes; or, two FoMs as two state variables in the case of corank-two catastrophes, for example.…”

Section: Negentropy and Predictive Analysis: Modelling As Training Wimentioning

confidence: 99%

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Anomalies, singularities, and catastrophes in C3ISR systems

et al. 2015

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In this paper, we provide topological visualization of Digital Decision Support (DDS) tools, both linear and non-linear, the latter ones related to bifurcations and/or catastrophes, including such non-linear phenomena as hysteresis, or sudden jump/drop of state variable (amplitude). As a principal example, we discuss non-linear oscillator catastrophes with applications in: physics, optics, electronics, mechanics, decision process, and others. INTRODUCTIONDigital Decision Generation tools, or, rather Digital Decision Support (DDS) tools [1] are important software components of C3ISR systems and technologies. In this paper, we propose a new approach to extraction of non-linear events based on topologic visualization of essential variables and anomalous events in binary event (object) space [2] , called by us DDS tools.Any successful predictive analysis in machine/human learning [3] and/or cybersensor [4] fields should include extraction of non-linear and/or anomalous events [1][2][3] such as mathematical catastrophes [5] as precursors, for example.Catastrophes [5] are types of bifurcations [5] , or discrete singularities in topological manifold continuum, constructed from so-called essential variables, including control variables (cause) and state variables (effect). In this paper, we discuss only corank-one catastrophes [5] , such as: fold, cusp, butterfly, etc., with single state variable, z, while control variables are: x, y, etc.In general, DTS (Digital Topologic Singularities) can be categorized within three (3) major types: Threshold DTS, such as avionics of-the-expectation (OTE) incidents, a kind of flagging; Linear DTS (function's maxima, minima, inflection points, etc.); and non-linear DTS (e.g., catastrophes). In this paper, we mostly discuss the third DTS category, as well as compare them with the linear DTS, within heuristic machine learning, idealization, and abstraction. The basic flow chart of DDS includes: regression (noise extraction), smoothing, and 2D "analogization" of discrete experimental data; generation of 2D parametric curves: parametrization-to-continuum (PtC) of these curves into surface continuum (i.e., 3D "analogization"); and, discretization (or, quantization) into non-linear DTS (catastrophes), for example, in this strange discrete → analog → discrete heuristic process.In this paper, we discuss topologic visualization of singularities and anomalies, in the form of: curves, surfaces, spaces, sub-spaces, cross-sections, and projections, in 3D, 4D, and higher space. However, for the sake of clarity, we focus on Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV, edited by Edward M. Carapezza, Proc. of SPIE Vol. 9456, 94560V · © 2015 SPIE · CCC code: 0277-786X/15/$18 ·

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Soft computing and small system integration

Cited by 6 publications

References 9 publications

Ray tracing analysis of display illumination systems

Ray tracing analysis of display illumination systems

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

Anomalies, singularities, and catastrophes in C3ISR systems

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