The National Institute of Standards and Technology (NIST) is developing a cybersecurity testbed for industrial control systems (ICS). The goal of this testbed is to measure the performance of an ICS when instrumented with cybersecurity protections in accordance with practices prescribed by prevailing standards and guidelines. This paper outlines the…
Conference presentation by Alex Nelson, et. al. This work addresses the question of determining the correctness of forensic file system analysis software. Current storage systems are built on theory that is robust but not invincible to faults, from software, hardware, or adversaries. Given a parsing of a storage system of unknown provenance, the lack of…
This is the schema for Digital Forensics XML, version 1.1.1. by Alex Nelson, et. al.
Workshop on enabling science from big image data.
Using a Fourier-based phase correlation method and progressively coalescing strongly connected components permits terabytes of optical microscopy data to be assembled correctly more rapidly than previously.
The research for this presentation was funded by the National Institute of Standards and Technology Office of Law Enforcement Standards, the Department of Justice National Institute of Justice, the Department of the Navy,the Federal Bureau of Investigation and the National Archives and Records Administration. These products are mentioned for being…
Present ion of a characterization of four basic Terabyte-sized image computations on a Hadoop cluster in terms of their relative efficiency according to the modified Amdahl’s law. The work is motivated by the lack of standard benchmarks and stress tests for big image processing operations on a Hadoop computer cluster platform. Our benchmark design and…
We propose a new strategy for estimating the number of cellular objects that should be manually segmented for evaluating the segmentation accuracy of an algorithm. The strategy uses geometric and edge quality measurements that are directly related to segmentation outcomes and do not require highly accurate segmentation. Sample sizes are determined from…
A key aspect of the next generation Smart Networked System (SNS) is the bridge between the physical and virtual world. These systems that tightly interlink the cyber and physical worlds are often referred to as Cyber-Physical Systems (CPS). A CPS is the ,integration of computation with physical processesŠ and uses sensors and actuators to link the…
We introduce a methodology for microscopy settings assessment and segmentation accuracy prediction based on image quality descriptors.
Many objects in the PrIKL Reasoner have a canonical representation. This representation and its implementation required a number of choices with ramifications. This paper describes the choices, their consequences, and some of the more interesting implementation details. This information will be helpful in understanding the implementation of PrIKL,…
We present a high performance hybrid CPU-GPU implementation that accelerates the Fourier-based stitching of 2D optical microscopy images to less than 1-minute (end-to-end execution times). This implementation takes advantage of coarse-grained parallelism and organizes the computation into a pipeline architecture that spans available CPU and GPU resources…
We present a hybrid CPU-GPU approach for the Fourier-based stitching of optical microscopy images. This system achieves sub-minute stitching rates with large grids; it stitches a grid of 59x42 tiles in 26 seconds on a two-CPU (8 physical cores) & two-GPU machine. This is a speedup factor of more than 24x; the optimized sequential implementation takes more…
We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are in contact. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting, tracking and lineage modeling in cell biology. The segmentation presented in this paper consists of…
One of the key lessons learned from the 2003 Northeast Blackout in the United States was the need for improved grid timing and synchronization. The problem began as an isolated issue, but cascaded through the Northeastern grid. Timely situational awareness would likely have contained the area affected by the blackout. To attain situational awareness over…
A supervised segmentation technique classifies pixels in sub-cellular microscopy images into biologically meaningful regions with associated model bias quantification. Our work focuses specifically on actin structures, and analyzes sub-cellular regions using optical confocal fluorescent microscopy images at 200 nanometer resolution. We present the…
Direct imaging of individual cells in the temporal domain provides critical information about events such as gene expression in the context of cell-cell contacts, cell cycle position, migration, etc, and allows the determination of direct relationships between cell fate and multiple cellular parameters. We have demonstrated that time-lapse imaging data…
Versus is a framework for the execution and dissemination of customizable content-based file comparison methods. Given digital objects such as files, database entries, or in-memory data structures, we are interested in establishing their proximity (i.e. similarity or dissimilarity) based on the information encoded within the files (text, images, 3D,…
This paper addresses the problem of mapping application specific requirements on image similarity metrics to the plethora of existing image similarity computations. The work is motivated by the fact that there is no method for choosing a similarity metric that is suitable for a given application. We approached the problem by designing a theoretical and…
Comparisons of two microscopy images can be accomplished in many different ways. This paper presents a system that recommends appropriate similarity metrics for microscopy image comparisons based on biological application requirements. The motivation stems from the fact that task requirements can drive the automatic selection of a similarity metric. The…