Graphics Capabilities Research Articles

LSI Industries Inc.

AbstractElectrical (MIC: SIC: 3648 NAIC: 335129)LSI Industries is a provider of corporate visual image services through the combination of screen and digital graphics capabilities, various indoor and outdoor lighting products, and related services. Co. is also a provider of graphics and lighting products and services on a stand‐alone basis. Co. provides corporate visual image services to the petroleum/convenience store industry, providing its services to national retailers and multi‐site retailers, including quick service and casual restaurants, video rental and eyewear chains, retail chain stores and automobile dealerships located primarily in the U.S. At June 30 2007, Co. operated three segments: Lighting, Graphics and Technology.

CAD-based simulation of the hobbing process for the manufacturing of spur and helical gears

Targeting an accurate and realistic simulation of the gear hobbing process, we present an effective and factual approximation based on three-dimensional computer-aided design. Hobbing kinematics is directly applied in one gear gap. Each generating position formulates a spatial surface path which bounds its penetrating volume into the workpiece. The three-dimensional surface paths generated from the combination of the relative rotations and displacements of hob and work gear are used to split the subjected volume, creating concurrently the chip and the remaining work gear solid geometries. The developed software program HOB3D simulates accurately the manufacturing of spur and helical gears, exploiting the modeling and graphics capabilities of a commercial CAD software package. The resulting three-dimensional solid geometrical data, chips and gears provide the whole geometrical information needed for further research, such as prediction of the cutting forces, tool stresses and wear development as well as the optimization of the gear hobbing process.

The Evolution of Illustrated Texts and Their Effect on Science: Examples from Early American State Geological Reports

In the 19th century, printing methods made significant advances that allowed mass production of illustrated texts; prior to that time, illustrated texts were expensive and rare. The number of illustrated texts thus rose exponentially, increasing the rate of information transfer among scientists, engineers and the general public. The early American state geological reports, funded by the state legislatures, were among the pioneering volumes that used the new graphic capabilities in the improved printing processes for the advancement of science. They contain thousands of illustrations—woodcuts, etchings, lithographs and hand-painted maps—that may be of interest to historians of science, technology, art and culture.

Future Graphics Architectures

Graphics architectures are in the midst of a major transition. In the past, these were specialized architectures designed to support a single rendering algorithm: the standard Z buffer. Realtime 3D graphics has now advanced to the point where the Z-buffer algorithm has serious shortcomings for generating the next generation of higher-quality visual effects demanded by games and other interactive 3D applications. There is also a desire to use the high computational capability of graphics architectures to support collision detection, approximate physics simulations, scene management, and simple artificial intelligence. In response to these forces, graphics architectures are evolving toward a general-purpose parallel-programming model that will support a variety of image-synthesis algorithms, as well as nongraphics tasks.

LSI Industries Inc.

AbstractElectrical (MIC: 11.14 SIC: 3648 NAIC: 335129)LSI Industries is a provider of corporate visual image services through the combination of screen and digital graphics capabilities, various indoor and outdoor lighting products, and related services. Co. is also a provider of graphics and lighting products and services on a stand‐alone basis. Co. provides corporate visual image services to the petroleum/convenience store industry, providing its services to national retailers and multi‐site retailers, including quick service and casual restaurants, as well as retail chain stores located mainly in the U.S. At June 30 2007, Co. operated three segments: the Lighting Segment, the Graphics Segment and the Technology Segment.

Solving spatial inverse problems using the probability perturbation method: An S-GEMS implementation

The probability perturbation method (PPM) is introduced as a flexible and efficient sampling technique for generating inverse solutions under a given prior geological constraint (prior model). In this paper, we present a methodology for producing software code that runs PPM within a public domain geostatistical software called the Stanford Geostatistical Earth Modeling Software (S-GEMS). The challenge in creating such code lies in the great diversity of forward models as well as prior models that can be handled by the PPM. Therefore, our software solution must be highly flexible and extensible such that it can be tailored to the various applications at hand. Our implementation has two main objectives: (1) to create an integrated working environment which provides users easy access to functionalities of the PPM through a general user interface as well as visualize results; (2) allow the users to plug-in their application specific code into the PPM algorithm workflow. We provide a two-part solution. The first part, which is hard-coded in S-GEMS as a plug-in module, runs the Dekker-Brent optimization algorithm to control the parameter perturbation needed for the inversion. It generates the PPM user interface and allows visualization of the spatial domain of interest using S-GEMS graphics capability. The second part is coded in object-oriented Python scripts and is used to control the PPM execution in S-GEMS. Users can program their particular needs in scripts and load them into S-GEMS as part of the PPM workflow. The same mechanism can be used to extend the capabilities of PPM itself by implementing new PPM variants in Python and making them a part of the base class hierarchy. Case studies are used to demonstrate the flexibility of our code. This approach requires the user to adapt only a small amount of python code, without modifying, or re-compiling the core S-GEMS code.

Scilab software package for the study of dynamical systems

This work presents a new software package for the study of chaotic flows and maps. The codes were written using Scilab, a software package for numerical computations providing a powerful open computing environment for engineering and scientific applications. It was found that Scilab provides various functions for ordinary differential equation solving, Fast Fourier Transform, autocorrelation, and excellent 2D and 3D graphical capabilities. The chaotic behaviors of the nonlinear dynamics systems were analyzed using phase-space maps, autocorrelation functions, power spectra, Lyapunov exponents and Kolmogorov–Sinai entropy. Various well known examples are implemented, with the capability of the users inserting their own ODE. Program summary Program title: Chaos Catalogue identifier: AEAP_v1_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEAP_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 885 No. of bytes in distributed program, including test data, etc.: 5925 Distribution format: tar.gz Programming language: Scilab 3.1.1 Computer: PC-compatible running Scilab on MS Windows or Linux Operating system: Windows XP, Linux RAM: below 100 Megabytes Classification: 6.2 Nature of problem: Any physical model containing linear or nonlinear ordinary differential equations (ODE). Solution method: Numerical solving of ordinary differential equations. The chaotic behavior of the nonlinear dynamical system is analyzed using Poincaré sections, phase-space maps, autocorrelation functions, power spectra, Lyapunov exponents and Kolmogorov–Sinai entropies. Restrictions: The package routines are normally able to handle ODE systems of high orders (up to order twelve and possibly higher), depending on the nature of the problem. Running time: 10 to 20 seconds for problems that do not involve Lyapunov exponents calculation; 60 to 1000 seconds for problems that involve high orders ODE and Lyapunov exponents calculation.

LSI Industries Inc.

AbstractElectrical (MIC: 11.14 SIC: 3648 NAIC: 335129)LSI Industries is a provider of corporate visual image services through the combination of screen and digital graphics capabilities, a variety of indoor and outdoor lighting products, and related professional services. Co. is also a provider of graphics and lighting products and professional services on a stand‐alone basis. Co. provides corporate visual image services to the petroleum/convenience store industry, providing its services to national retailers and multi‐site retailers, including quick service and casual restaurants, as well as retail chain stores located mainly in the U.S. At Jun 30 2007, Co. operated three segments: Lighting Segment, Graphics Segment and Technology Segment.

Trends in forestry modelling.

Abstract Different types of models have been developed and applied to address various problems and issues in forestry. This paper reviews modelling trends in four areas, namely, forest management planning and decision-making, forest dynamics and growth projection, forest landscape and spatial models and participatory forest management models. The first type includes decision models generally structured as optimization models applied to forest planning. These models evolved from single objective to multiple objectives with spatial dimensions, including visualization. The second type includes forest dynamics models designed to examine the growth response of trees using process-based empirical or conceptual models. Demands for 'close to nature' forest management created new challenges for modellers to provide models with expanded capabilities to deal with tree growth, succession, and competition in stands with many species and wide range of tree sizes. The third type takes advantage of increased computational and graphic capabilities to model landscapes and display them as 'virtual' realities. These models combine spatial models such as geographical information systems (GIS), visualization tools and analytical models to form an integrated decision support system. The fourth type includes participatory models designed to accommodate multiple stakeholders in addressing collaborative forest management. These models are particularly adaptable to community-based forest management. Finally, the uses of models as 'learning' tools and as 'problem structuring' tools are also described.

LSI Industries Inc.

AbstractElectrical (MIC: 11.14 SIC: 3648 NAIC: 335129)LSI Industries is a provider of corporate visual image services through the combination of screen and digital graphics capabilities, a variety of indoor and outdoor lighting products, and related professional services. Co. is also a provider of graphics and lighting products and professional services on a stand‐alone basis. Co. provides corporate visual image services to the petroleum/convenience store industry, providing its services to national retailers and multi‐site retailers, including quick service and casual restaurants, as well as retail chain stores located mainly in the U.S. Co. operates through three segments: Lighting Segment, Graphics Segment and Technology Segment.

GenStat 9

From the early 1970s until 1994, GenStat was one of two com mercial statistical applications manufactured in the UK. Follow ing the work of Wedderburn and Neider, GLIM, an acronym for Generalized Linear Interactive Models, was first created in the mid-1970s to provide the means for users to engage in gen eralized linear modeling (GLM). It was an extremely popular program, allowing users to perform ordinary least squares re gression as well as extended models such as logistic, probit, complementary loglog, gamma, inverse Gaussian, and Poisson regression. GLIM was based on an iteratively reweighted least squares algorithm that could easily be manipulated to change and compare various models. Unlike maximum likelihood im plementations of, say, probit regression, one did not normally have to be concerned with starting values or with convergence problems. Moreover, an OPEN function allowed users to create complicated extensions to the basic GLM algorithm. British authored textbooks included examples of survival models using GLIM such as Weibull and log-gamma, and even complex ran dom effects models. GenStat 3.09 provided its users with a GLM procedure in 1976. This was in addition to supporting a host of models and procedures that fall outside the GLM framework. GenStat of fered the full range of descriptive statistics set in a sophisti cated user interface, excellent graphical capabilities, multivari ate statistics, and a host of time series and survival models. Later GenStat added various GLM extensions, such as generalized ad ditive models and generalized estimating equations. The latter two families of models were made part of the GenStat package soon after they were first developed. In distinction to GLIM, GenStat provided the user with a full complement of statistical procedures, data management, and graphical capabilities. GLIM was dropped from support and enhancements after the 1994 release of GLIM 4. NAG discontinued GLIM development so that it could focus more of its efforts on a single application. Since GenStat was the more general package, and included GLM capabilities as well, the statistical community did not experience a major loss. Unfortunately, some of those involved with GLIM development did not support the transition, and went their sepa rate ways. However, GenStat currently has a technically erudite support staff and provides excellent user support and timely in cremental enhancements.

Impact of response delay and training on user performance with text-based and graphical user interfaces for engineering design

With recent computer advances, visualization techniques are becoming more prevalently used as decision support tools for parametric design and engineering optimization. Despite the apparent advantages of visualization techniques, we have found little evidence in the engineering design literature that assesses the impact of fast graphical design interfaces on the efficiency and effectiveness of engineering design decisions. In this paper, we present experimental results from an I-beam design problem where the importance of rapid feedback is investigated by incorporating time delays in the software response to “mimic” computationally expensive design analyses. Design efficiency is measured by recording the completion time for solving the design problem, and design effectiveness is measured by calculating the error between a submitted design and the known optimum. The impact of graphical feedback is examined by comparing user performance on three different design interfaces to determine if their functionality and graphical capabilities mediate the impact of response delays in the software or the amount of training needed. Experimental results indicate that, on average, error increased by 280% and completion time increased by 33% when a delay of 1.5 s was present, and the perceived workload significantly increased as well. Meanwhile, user performance improved and perceived workload decreased as the “richness” of the design interface increased. The combination of a rich interface with a fast response time, therefore, will lead to the “best” interface as one might surmise, but our work provides the first empirical evidence of the effect of response delay on user performance within a realistic engineering design setting. Implications for interface development for engineering design are explored within the context of our findings, as are suggestions for future work.

Getting a handle on MATLAB graphics

Among engineers and scientists, MATLAB is one of the most popular computational packages. Part of MATLAB's popularity stems from its simple, yet sophisticated, graphics capabilities. While basic plots are relatively easy to obtain, specialized plots require a little more effort to produce. This article introduces MATLAB's Handle Graphics, which provides a mechanism to fully control and customize graphics objects in MATLAB. With a basic understanding of Handle Graphics, users can produce plots that meet the unique needs and quality standards commonly required by the profession, several examples are presented to illustrate the concepts.

Towards multi-GPU support for visualization

At the Institute for Ultrascale Visualization, we are tackling the broad problem of building visualization solutions for the petascale age and beyond. As computing transitions into a new age where scalar solutions no longer improve in performance, and parallel solutions are the vehicle for future performance gains, one key challenge in our effort is to harness the power of emerging commodity data-parallel processors.One of the most promising new parallel processors is the graphics processing unit (GPU), whose recent gains in programmability and enormous arithmetic and memory bandwidth substantially outpace its CPU counterpart. The GPU's performance and programmability, together with its graphics capabilities, make it particularly well suited for demanding next-generation visualization applications.We face a number of important challenges in making the GPU a first-class citizen for computation in these visualization applications. In this paper, we describe how we are addressing these challenges: mapping GPUs to general-purpose tasks, fundamental algorithms for GPUs, visualization applications that use the GPU for general-purpose computation, and extending our applications to support multiple GPUs. We also describe trends in upcoming GPU designs and how they will impact our research moving forward.

SU‐FF‐T‐71: An Interactive Software Tool for Modifying Outcome Models and Predicting Patient Specific Outcomes in Treatment Planning

Purpose: For patient‐specific radiotherapy outcomes predictions (i.e., NTCP predictions), the choice of model and its parameters is of utmost importance. Our goal is to develop a software tool which will let clinicians conveniently select the model, understand the effects of the model parameter values, and thereafter predict plan specific outcomes. Method: This module has been developed within CERR (Computational Environment for Radiotherapy Research), an open source Matlab‐based software system. Two commonly used NTCP analytical models implemented are the Lyman‐Kutcher‐Burman (LKB) and the Critical volume (CV). The parameters of LKB model include: the exponent for calculating EUD, D50, and the slope parameter m; whereas the parameters of the CV model include the mean relative damaged volume, critical fraction of FSUs, and interpatient variability. Our interactive outcomes estimation module lets the user change the model and parameters and observe the change in predicted outcome simultaneously. We have also implemented a new model to predict radiation lung injury, which is a logistic regression model with two predictors — mean dose to lung (MDL) and the GTV location (GTV‐superior‐inferior position). We developed an interactive nomogram to let users look at the variation in outcome with respect to MDL and GTV‐SI position. Results: The interactive outcomes‐prediction module within CERR was tested on sample plans. The user is presented with slider bars to change the parameter values, or the user can input their own values, and the estimated outcome is simultaneously updated. The interface is simple, user‐friendly, and easily extensible to include other outcomes models. Conclusion: This outcomes prediction module, along with other graphical visualization and analysis capabilities within CERR, may aid clinicians in understanding and using NTCP models for radiation treatment planning.This research was partially supported by NIH grant R01CA85181 as well as a grant from TomoTherapy, Inc.

LSI Industries Inc.

AbstractElectrical (MIC: 11.14 SIC: 3648 NAIC: 335129)LSI Industries is a provider of corporate visual image services through the combination of screen and digital graphics capabilities, a variety of indoor and outdoor lighting products, and related professional services. Co. is also a provider of graphics and lighting products and professional services on a stand‐alone basis. Co. provides corporate visual image services to the petroleum/convenience store industry, providing its services to national retailers and multi‐site retailers, including quick service and casual restaurants, as well as retail chain stores located mainly in the U.S. Co. operates through three segments: Lighting Segment, Graphics Segment and Technology Segment.

Teaching compiler construction and language design

This paper presents an unusual programming language, textttklx, illustrating the type of compiler construction projects the author uses successfully to accompany a mostly traditional lecture on compilers.The target processor of textttklx is the PostScript interpreter, and the paper argues that this is a very good choice. A PostScript interpreter simulates an elegant stack machine with built-in graphic capabilities. It is the perfect target for languages like textttklx, making them easy to implement and fun to use. The exact definition of the source language is an integral part of the student project.The use of non standard languages and a non standard target fosters student creativity in language design and implementation. It invites "out of the box" thinking, and prepares the knowledge transfer from the rich tradition of compiler construction to new and forthcoming areas of computer science.

EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genes

Despite increased availability of genome annotation data, a comprehensive resource for in-depth analysis of splice signal distributions and alternative splicing (AS) patterns in eukaryote genomes is still lacking. To meet this need, we have developed EuSplice--a unique splice-centric database which provides reliable splice signal and AS information for 23 eukaryotes. The EuSplice database contains 95,822 AS events and 2.1 million splice signals associated with over 270,000 protein-coding genes. The intuitive, user-friendly EuSplice web interface has powerful data mining and graphics capabilities for inter-genomic comparative analysis of splice signals, putative cryptic splice sites and AS events. Moreover, the seamless integration of splicing data to extensive gene-specific annotations, such as homolog annotations, functional information, mutations and sequence details makes EuSplice a powerful one-stop information resource for investigating the molecular mechanisms of complex splicing events, disease associations and the evolution of splicing in eukaryotes. http://66.170.16.154/EuSplice. Supplementary tables and figures at Bioinfo online.

LSI Industries Inc

AbstractElectrical (MIC: 11.14 SIC: 3648 NAIC: 335129)LSI Industries is a provider of comprehensive corporate visual image services through the combination of screen and digital graphics capabilities, a variety of indoor and outdoor lighting products, and related professional services. Co. also provides graphics and lighting products and professional services on a stand‐alone basis. Co. is also a provider of corporate visual image services to the petroleum/convenience store industry, providing its services to national retailers and multi‐site retailers located primarily in the U.S. Co.'s business is organized in three segments: the Lighting Segment, the Graphics Segment and the Technology Segment.

Programming physics softwares in Flash

We discuss various aspects of programming physics education software in Adobe Flash. Since the authoring environment for Flash is initially developed for non-programmers, it is easy to learn even for those having no previous knowledge in programming language, although some previous experience in programming may help in mastering advanced features of ActionScript, an object-oriented programming language used for developing Flash programs. The most attractive feature of Flash is its strong graphic capability not available in other standard programming languages.