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A project of the Center for Catastrophic Risk Management.
Funded by: Beatrix Farrand Instructional / Research Technology Support
We are being called upon to protect our national security interests in progressively more complex and hostile environments. Major threats arise from asymmetric threats such as terrorism, guerilla attack, and other unconventional methods of warfare. The technology challenge for dealing with these asymmetric and extremely rapidly adapting adversaries in the battlefield are many, and of course, the battlefield itself is in a wide variety of terrains, in urban environments and in some cases also the homeland.
We propose a three-year interdisciplinary effort to build on new advances in information technology to develop an adaptive real-time system for active management, processing, modeling and visualization of environmental and geoscience data.
In nanometer scale CMOS technologies, static power consumption will be the major component of the overall power consumption. Static power has been rapidly growing as technologies have scaled supply voltage VDD and threshold voltage Vth down to maintain drive current and reduce dynamic power consumption, at the cost of an exponential increase in transistor leakage currents. Static power can be as much as 20% of the power budget of current high-end microprocessors, and this will likely increase as future technologies continue to reduce Vth.
Controlling collections of unmanned or unmanned aerial and ground vehicles so as to accomplish their assigned mission remains a challenging task, with unsolved issues in the treatment of environment uncertainty, rapidly changing conditions, high dimensional state spaces, and information overload from sensor data. Control and sensing in such systems must be distributed in order to allow effective and scalable solutions, yet must be coordinated to attain global objectives.
We propose to develop an open federation (to be called the SMETE Open Federation) to integrate and support the National Science, Mathematics, Engineering, and Technology Education (SMETE) Digital Library (NSDL).With headquarters at UC Berkeley, the group leading the development and providing the integrative core of the SMETE Open Federation is comprised of two lead organizations:
(1) the SMETE.ORG Alliance, with over twenty participating partners covering a broad range of SMET disciplines in K-12 and higher education, and
We intend to develop fast, versatile, and accurate computational models for viscoplastic materials ranging from stiff, non-compliant solids to low viscosity fluids. We are designing these models for applications where visual realism, computation speed, and robustness are the predominant requirements (with numerical accuracy being subordinate). Examples of such applications include real-time interactive training simulations (e.g. surgical simulation or hazardous duty simulations) and offline generation of visualizations (e.g. cinematic effects or accident reenactment).
Collaboration and information-sharing are among the most important applications of computing. Privacy is a basic human need.
We plan to research the problem of reducing a mobile computer's communication requirements and power consumption. Specifically, they will address both issues through improved data and storage management. Based on prior success with automated data grouping and predictive power conservation, research will be conducted into improved data hoarding and disk power management techniques. With effective grouping of data it will be possible to improve the automation of mobile file hoarding, and decrease the effects of network latency and disconnections on the mobile user.
The Wikipedia is a source of information widely used in homes, schools, and offices across California, and across the nation. The Wikipedia is also the most successful, and influential, example of collaborative content creation. Most Wikipedia articles can be edited by anyone. This openness has been a key factor in the success of the Wikipedia, but it also poses challenges. Rogue, misinformed, or misguided contributors can corrupt articles with incorrect information, and it is difficult for readers to judge the reliability of the information they are presented.
Large-scale simulations in computational engineering and science often spend a great deal of time in a few computational methods kernels, such as dense or sparse matrix-vector products, relaxation on a structured or unstructured mesh, or the computation of forces between pairs of attracting or repelling particles. There has been a great deal of work in generating high performance libraries for these applications, including dense and sparse linear algebra, multigrid methods, and n-body techniques.
The need for
language aids is pervasive in today's world. Millions of individuals with
language and speech challenges require additional support for language
understanding and learning. Currently, however, these needs are not being met
because there are not enough skilled teachers, interpreters, and professionals
to give them the one on one attention that they need. Lipreading (speechreading
because it involves more than just the lips) allows deaf and hard of hearing
individuals to perceive and understand oral language and even to speak.
We propose to develop a theory for the composition and analysis of ?rich API?s? for embedded systems, which expose resource properties, such as real-time assumptions and guarantees. We will apply this theory to both time-triggered programs,in particular to proposed real-time Linux standards and protocols under design at the Berkeley Wireless Research Center.
The proposed research looks at a new class of spatial models derived from the convolution representation of Gaussian process models. By expanding the class of distributions for the underlying process being convolved, a range of flexible spatial models results. These models are especially useful for inverse problems and spatial processes over time.
The BRAND program is a development and demonstration of two network applications that require the capacity and/or low latency of an open testbed communications network such as that provided by the Next Generation Internet (NGI) system program at DARPA. The resulting demonstrations created by this effort (sensor Web and networked MEMS CAD) will demonstrate the benefits of an open research network capability based on an optical transport system and associated high performance/high capacity networks and management systems that are ultimately necessary to enable these new stressing applications.
The BioPOEMS (Bio-Polymer-Opto-Electro-Mechanical-Systems) group at UC Berkeley will investigate and develop the polymer optical materials and processing technology required to achieve a highly variable field-of-view (FOV) optical element on the microsystems using advanced MEMS.
This task seeks to revolutionize the paradigm of DNA chip by integrating an array of DNA probes on multiple giant magneto-resistance sensor or spin valve sensors using nanomagnetic bead technology and a microfluidic lab-on-a chip for lab automation. This task will demonstrate the advanced hybrid integration science and technology for ultra fast DNA microprocessors with single molecule detection sensitivities.
The BioPOETS (Biomolecular Polymer Opto-Electronic Technology
and Science) group is focusing on quantum nanoplasmonics, microfluidic
BASICs (Biological Application Specific Integrated Circuits),
soft-state biological devices, and BioPOEMS
(Biomolecular-Polymer-Opto-Electro-Mechanical-Systems) for the
digitalization of quantitative systems biology and molecular medicine.
The University of California at Berkeley has been given a grant to design,prototype, implement and evaluate a new search system for bioscience literature. There are significant components of the project that deal with processing of language as it is naturally spoken or written, the design of the search screen and how it works, as well as basic database design and implementation.
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