Although visualization is a provent technology for communicating complex and/or voluminous information, one significant problem is its inability to display information describing data uncertainty. This deficiency has negative on analyzing or assessing data, since the integrity or quality of data is… More

This Small Business Innovation Research (SBIR) Phase I project addresses the lack of visualization technology for advanced engineering simulation tools. Such tools routinely depend on interpolation and approximation (basis) functions for a variety of purposes, including modeling geometry via CAD/CAM… More

"The objective of this Phase I proposal is to design and prototype a web-based visualization system to aid in the analysis of High Performance Computing (HPC) simulations. HPC simulations are widely used in the design of new materials and weapons systems.However, the amount of data they generate… More

The objective of this Phase II proposal is to design and implement a web-based visualization system to aid in the analysis of High Performance Computing (HPC) simulations. HPC simulations are widely used in the design of new materials and weaponssystems. However, the amount of data they generate… More

72388S03-I Large-scale computing is increasingly a distributed activity. Expensive and specialized resources ¿ whether they are supercomputers, scientific instrumentation, visualization devices, collaboration facilities, or personnel ¿ are distributed geographically and across organizations. … More

This Small Business Innovative Research Phase II project will create general-purpose software tools for visualizing the results of advanced numerical simulation. Simulation techniques, which make up a large part of the multi-billion dollar CAD/CAM/CAE market, are widely used to design and build the… More

This Small Business Innovative Research Phase II project will create general-purpose software tools for visualizing the results of advanced numerical simulation. Simulation techniques, which make up a large part of the multi-billion dollar CAD/CAM/CAE market, are widely used to design and build the… More

DESCRIPTION (provided by applicant): This Phase I STTR application represents a partnership between a university-based research group (Imaging Science and Information Systems [ISIS] Center, Department of Radiology, Georgetown University) and a small business specializing in open-source software… More

72388-Large-scale computing is increasingly a distributed activity. Expensive and specialized resources ¿ whether they are supercomputers, scientific instrumentation, visualization devices, collaboration facilities, or personnel ¿ are distributed geographically and across organizations. Grid… More

This Small Business Innovative Research (SBIR) Phase II project will create a portable representational and interaction metaphor for digital media embedded in a 3D context. Popular document technologies remain text oriented-that is, content is organized into pages and viewed in reading order. The… More

This Small Business Innovative Research (SBIR) Phase II project will create a portable representational and interaction metaphor for digital media embedded in a 3D context. Popular document technologies remain text oriented-that is, content is organized into pages and viewed in reading order. The… More

This Small Business Innovation Research (SBIR) Phase I project addresses the lack of visualization technology for hierarchical overlapping structured grids created through a process known as Adaptive Mesh Refinement (AMR). Although the AMR structure makes possible simulations that would have… More

Scientists and engineers use computer simulation to model the behavior of physical phenomena. These simulation techniques often produce prodigious amounts of output data. In order to view results, interactive visualization is used since it provides the ability to visually inspect data and… More

This Small Business Innovation Research (SBIR) Phase II project addresses the lack of visualization technology for hierarchical structured grids created through an advanced simulation process known as Adaptive Mesh Refinement (AMR). Although the AMR structure makes possible simulations that are too… More

The field of scientific simulation is one that is actively evolving, with many commercial and research applications developed to solve a wide array of problems. The results are typically complex, three-dimensional structures containing a variety of scalar

Recent advances in imaging systems such as MRI, CT, and PET enable rapid acquisition of biological data. These data are suitable for a variety of simulation techniques, including characterizing the response of biological systems to directed energy. However, these simulations are hampered by the… More

Very large aerial video collectors (VLAVCs) are of increasing interest, such as Constant Hawk, Sonoma, Angel Fire and the planned ARGUS video sensor. These sensors can generate tremendous amounts of data. This proposal addresses the issue of how to efficiently compress video streams from such… More

Data management is a major bottle neck in exploitation of simulations for predicting and analyzing complex fluid dynamics. We propose creating a co-processing toolkit that extracts significant features from simulation results as the simulation is running. This toolkit will allow analysis of fine… More

DESCRIPTION (provided by applicant): In the last decade, MRI studies of human brain morphometry have been used to investigate a multitude of pathologies and drug-related effects in psychiatric research. The morphometric measures that differentiate patient populations or track longitudinal changes… More

The goal of the proposed research is to create software applications for segmenting medical images; the segmented images are then voxelized for use in the numerical simulation of directed energy on biological systems. In Phase I we identified segmentation algorithms to be used for different… More

DESCRIPTION (provided by applicant): The overall goal of this project is to develop a computer-aided system that can assist the radiologist in targeting small pulmonary nodules during CT-guided lung biopsy. The estimated 3D needle trajectory along with the range of potential needle trajectories… More

As numerical simulations have grown in size and complexity, it is becoming increasingly difficult to manage the execution of the computational process and the resulting output data. Kitware proposes a co-processing analysis and visualization framework that greatly improves the ability to monitor and… More

Large-scale accelerator modeling is vital to the design and optimization of particle accelerators, and visualization is an indispensable component for capturing all relevant effects from the huge amount of simulation data. Yet, most visualization tools are limited to one computer of a single… More

Current computational fluid dynamics simulations produce large amounts of data. These data have become so large that traditional methods employing manual inspection and visualization cannot effectively process the information. Thus the value of these simulations is diminished because the information… More

The activity surrounding a building can provide functional information that is not available in static imagery. We propose to develop a method to classify buildings based on observed video activity that addresses the primary challenges of noisy, partial observables, and urban environments where… More

DESCRIPTION (provided by applicant): This overall goal of this SBIR project is to develop a fully automated bone removal method for Dual Energy Computed Tomography (DECT) angiography scans. Dual energy scans offer the opportunity to better understand the m aterial decomposition of anatomy, thus… More

Video provides the opportunity to classify vehicles, people, buildings and other structures by their behavior and the activity surrounding them. Object classes that are visually indistinguishable can be differentiated using activity, even in low-resolution video where traditional recognition from… More

Very large aerial video collectors (VLAVCs) are of increasing interest, including such systems as Constant Hawk, Sonoma, Angel Fire and the planned ARGUS video sensor. These systems show significant potential in their ability to provide surveillance capabilities; however, the amount of data they… More

The utility of mobile robots would be greatly enhanced if they could be taught how to be competent, helpful members of military teams in the field. We propose a method for human instruction of robots, where the instructor teaches the robot how to recognize common situations and activities… More

We propose to develop and conduct initial evaluations of real time computer vision algorithms for detecting and tracking people and other movers from robot mounted video cameras. The rapid sensor motion and depth of field motivates the use of direct shape and appearance-based methods for detection… More

Digital communications are vital to success on the modern battlefield. However, the abundance of networked resources, especially their ad hoc, dynamic character, introduces potential vulnerabilities including traffic overload and the formation of critical nodes. In order to manage these resources… More

Detecting and tracking dismounts in wide-area aerial video is a challenging task because of low resolution, parallax, occlusions from buildings and other structures, nuisance motion, and low frame rate on some sensors. We propose a multi-target tracking system that will robustly track dismounts and… More

We propose to develop a novel approach to extracting 3D structure from wide-area video with sub-pixel accuracy. Multiple redundant video frames from very similar viewpoints enable super-resolution, while multiple frames from separated viewpoints enable 3D structure estimation. In our approach we… More

Simulation and experimental data is growing in size and complexity. Furthermore, the number of datasets that must be analyzed and compared with one another is increasing. These increases in data size and complexity are negatively impacting the use of modern computer simulation methods, since… More

With larger computers producing unprecedented amounts of data, data sizes are now approaching petascale. This poses problems to scientists and engineers who wish to view the data. While in the past it was feasible to copy data from a supercomputer to a local computing center for follow-on… More

As the complexity and scale of numerical simulation and experimentation increases, larger teams of researchers and scientists, located at geographically different sites, are required to address the resulting technical challenges. The success of research projects typically requires that such teams,… More

DESCRIPTION (provided by applicant): The information age is a term that has come of age; with information generation and consumption being central to our daily lives and paramount to any scientific endeavor. However, information without structure is onl y noise. The science of information, … More

Analysts are faced with the challenge of sifting through enormous quantities of documents, blog posts, communications, etc. to find deceptive behaviors. We propose novel techniques for efficiently and automatically detecting deception on large data with high accuracy by using methodologies from both… More

The goal of BLUE is to identify the function or purpose of buildings using persistant surveillance video such as Constant Hawk or Angel Fire. In Phase 1, we developed preliminary algorithms demonstrating that functional recognition of buildings and other scene elements such as parking spots and… More

We propose to develop a video analysis system that detects suspicious, significant events using two methods: monitoring current activity against learned models of normal behavior, and searching for events explicitly indicated by the video analyst. The underlying behavior representations are based on… More

The military has an increasing amount and variety of data sources collected using state-of-the-art technologies. Further, there is rapid proliferation of handheld devices, meaning that every soldier may become a sensor and require access to the information stream. Such a rich information environment… More

DESCRIPTION (provided by applicant): Simulation has made limited inroads in neurosurgery, despite validation studies demonstrating its advantages over traditional training. It has emphasized needle insertion and failed to address requirements of surgeons-i n-training on most future caseloads.… More

DESCRIPTION (provided by applicant): We propose to develop the computational infrastructure necessary for future large-scale reverse engineering of cortical circuits. Neuroscience researchers are using confocal and electron micrograph (EM) techniques to s can neural tissue at high resolution. Their… More

On Phase 1, we developed an approach to functional object recognition that learns functional models from video tracks in an unsupervised fashion. On Phase 2, we will expand the algorithms and concepts developed on Phase 1 into a comprehensive prototype system that performs functional object… More

We propose to develop a novel approach to extracting 3D structure from wide-area video with sub-pixel accuracy. Multiple redundant video frames from very similar viewpoints enable super-resolution, while multiple frames from separated viewpoints enable 3D structure estimation. In our approach we… More

This project aims to create an open, cross platform desktop application for chemistry. The focus in Phase I will be on developing a prototype application around stand-alone programs and databases used by ERDC researchers in connection with environmentally important aspects of military compounds.… More

The main result of the proposed research program will be an integrated activity recognition and modeling software system that will operate on-board a mobile robot equipped with video cameras, and operating in highly dynamic and cluttered environments. The software will include a user feedback… More

There may never be a time in the future where the threat of nuclear proliferation ceases to exist. Due to the sheer power and potential destruction these weapons possess, the global community must keep a vigilant watch on the spread of this technology. This will remain a critical factor in securing… More

Simulation and experimental data is growing in size and complexity. As a result it is difficult to understand and leverage the value of these data. Thus new methods of analyzing and processing data must be found if we are to benefit from the wealth of data available now, not to mention the flood of… More

DESCRIPTION (provided by applicant): The broad objective of this proposal is to improve the clinical effectiveness of liver lesion biopsy by fusing respiratory-compensated PET with CT images in the CT suite. On CT imaging alone, localization of liver lesions can potentially be challenging,… More

DESCRIPTION (provided by applicant): Validation of computing algorithms has been a challenging topic over the last few years. In fact, several international workshops in the medical imaging field started to involve the community through grand challenges .A grand challenge involves selecting driving… More

DESCRIPTION (provided by applicant): Medical records are being digitized in order to improve patient care, and the integrated digitization of all components of the medical record will also help reduce the number of errors and reduce health care costs. Images form part of the medical record. In some… More

DESCRIPTION (provided by applicant): In this application, we describe our proposed work to develop an augmented display for improved visualization of the prostate and surrounding critical anatomy for robot-assisted prostate surgery. Prostate cancer is the second leading cause of cancer-related… More

DESCRIPTION (provided by applicant): We propose to develop an open-source software system that will manage acquisition, storage and retrieval of very large time-lapse microscopy datasets. High-resolution wide-field images will be constructed from multipleimages tiles, and the images will be… More

Petscale computing is leading to significant breakthroughs in a number of fields and is revolutionizing the way science is conducted. Data is not knowledge, however, and the challenge has been how to analyze and gain insight from the massive quantities of data that are generated. In order to… More

The aim of this proposal is to facilitate the access that non-researchers have to data generated from high-resolution, long-term, climate change projections performed as part of the U.S. Global Change Research Program. Effective analysis in climate science depends on having the appropriate cyber… More

We propose a novel robot navigation paradigm based on high-level visual landmarks, including structural landmarks and object-level landmarks. The system will use our novel multilayered-feature graph (MFG) to combine multiple, heterogeneous features (from points to planes to vanishing points)… More

DESCRIPTION (provided by applicant): A human brain is estimated to have roughly 100 billion neurons connected through more than 100 thousand miles of axons and a quadrillion of synaptic connections (~10 15 or 2 50 connections). As a comparison, there aremore synaptic connections in human brains in… More

Observations unequivocally show that the global climate is changing and the results are dramatic. With the accelerating pace of climate change, the impact of these changes will resonate through a broad range of fields including public health, infrastructure, water resources, and many others. These… More

The integration of Computer Aided Design (CAD) and Computer Aided Engineering (CAE) into the product design and manufacturing process has shown to be a major benefit in terms of reducing both time and cost as well as increasing reliability. However, based on current practices the full potential of… More

It is becoming abundantly clear that the scientific world is being saturated by its own data, with raw data collection increasingly outpacing researchers ability to extract meaningful knowledge from it. Nowhere is this more apparent than in the proliferation of omics fields, which are generating… More

Cosmological simulations play a very important role in the DOE High Energy Physics Cosmic Frontier program. They are used to connect fundamental physics with observation, and are especially critical in the effort to understand Dark Energy. Current and upcoming cosmological observations that survey… More

DESCRIPTION (provided by applicant): The overall goal of this STTR project is to develop calibrated 3D quantitative analysis tools that directly support improved quantitative accuracy in clinical trials using PET/CT imaging. Pocket phantom technology willbe extended to characterize, perform quality… More

DESCRIPTION (provided by applicant): PET imaging provides information on functional or metabolic characteristics of tumors, whereas CT predominately assesses tumor's anatomical and morphological features. Given the ability of PET to localize malignancies in situations where the same tumors do… More

Automatic event and activity recognition from stream video and video archive can greatly enhance the effectiveness and efficiency of motion imagery analyst by filtering out the most relevant and timely content from a huge amount of video data through query video clips. Building on our DARPA VIRAT… More

The proposed work aims to create an extensible, open, cross-platform desktop chemistry workbench. The focus of this Phase II proposal will be on developing a suite of loosely coupled applications to access standalone programs and databases used by ERDC researchers in connection with environmentally… More

DESCRIPTION (provided by applicant): There are several features of ultrasound as an imaging modality that make it attractive to clinicians and preclinical researchers today, including its relatively low cost, real-time imaging capability, safety, and portability. These facets make it a particularly… More