Much literature on groupbrainstorming has found it tobe less effective than individ-ual brainstorming. However, acognitive perspective suggeststhat group brainstorming couldbe an effective technique for gen-erating creative ideas. Computersimulations of an associativememory model of idea genera-tion in groups suggest thatgroups have the potential to<l...

Staff Professor J C Slater Professor A F Kip Dr d H Bostick B J Debs P T Demos L Maier S J liason I Polk J R Terrall Description of Project Work on the 20-foot model of a microwave electron accelerator was initiated for several purposes One of these was to investigate the problems connected with feeding power from a grouo of magnetrons into a single system Another was to determine methods of ca...

The de ning tragedy of the operating systems community has been the de nition of an operating sys tem as software that both multiplexes and abstracts physical resources The view that the OS should ab stract the hardware is based on the assumption that it is possible both to de ne abstractions that are appro priate for all areas and to implement them to perform e ciently in all situations We bel...

Software testing can only be formalized and quanti ed when a solid basis for test generation can be de ned Tests are commonly generated from the source code control ow graphs design representations and speci cations requirements Formal speci cations represent a signi cant opportunity for testing because they precisely describe what functions the software is supposed to provide in a form that ca...

Robotic systems must be able to quickly and robustly make decisions when op-erating in uncertain and dynamic environments. While Reinforcement Learning(RL) can be used to compute optimal policies with little prior knowledge about theenvironment, it suffers from slow convergence. An alternative approach is ModelPredictive Control (MPC), which optimizes policies quickly, but also ...

Renewed interest is being directed toward chemoprevention as a means of reducing cancer mortality. I'o overcome the inherent problems asso ciated with using cancer development as a study end point, there has recently been a great surge of interest in defining the biomarkers asso ciated with specific stages of the carcinogenic process as intermediate end points. We have detailed the evidence sup...

The main two drawbacks of nearest neighbor based classifiers are: high CPU costs when the number of samples in the training set is high and performance extremely sensitive to outliers. Several attempts of overcoming such drawbacks have been proposed in the pattern recognition field aimed at selecting/gen-erating an adequate subset of prototypes from the training set. The problem addressed in th...

This work presents the development of mathematical model of a mobile manipulator and its use to develop a controller based on backstepping nonlinear control and the computed torque control law. This MIMO nonlinear controller was implemented on the Robot Operating System (ROS) environment. The mobile robot is based on the Barrett WAM (Whole Arm Manipulator) and a custom build mobile platform. Th...

Deploying deep neural networks on mobile devices is a challenging task due to computation complexity and memory intensity. Existing works solve this problem by reducing model size using weight compression methods based on dimension reduction (i.e., SVD, Tucker decomposition and Quantization). However, the execution speed of these compressed models are still far below the real-time processing re...