The preconceptual design of an S-band photo-injector system for a Next Linear Collider (NLC) Engineering Test Facility (ETF) at Fermi National Accelerator Laboratory (FNAL) has been completed. A photocathode gun will deliver a range of bunch charges up to 4 nC at around 190 MeV. The projected performance is 2.5 π mm-mrad rms normalized transverse emittance at 1 nC and 6.7 π mm-mrad at 3.6 nC bu...

Automating the detection of anomalous events within long video sequences is challenging due to the ambiguity of how such events are defined. We approach the problem by learning generative models that can identify anomalies in videos using limited supervision. We propose end-to-end trainable composite Convolutional Long Short-Term Memory (Conv-LSTM) networks that are able to predict the evolutio...

In the face of widespread DEP and ASLR deployment, JIT spraying brings together the best of code injection and code reuse attacks to defeat both defenses. However, to date, JIT spraying has been an x86-only attack thanks to its reliance on variable-length, unaligned instructions. In this paper, we finally extend JIT spraying to a RISC architecture by introducing a novel technique called gadget ...

There is a great need for technologies that can predict the mortality of patients in intensive care units with both high accuracy and accountability. We present joint end-to-end neural network architectures that combine long short-term memory (LSTM) and a latent topic model to simultaneously train a classifier for mortality prediction and learn latent topics indicative of mortality from textual...

In this paper we present a model that leverages a bidirectional long short-term memory network to learn word sense disambiguation directly from data. The approach is end-to-end trainable and makes effective use of word order. Further, to improve the robustness of the model we introduce dropword, a regularization technique that randomly removes words from the text. The model is evaluated on two ...

—Traditional saliency models usually adopt hand-crafted image features and human-designed mechanisms to calculate local or global contrast. In this paper, we propose a novel computational saliency model, i.e., deep spatial contextual long-term recurrent convolutional network (DSCLRCN) to predict where people looks in natural scenes. DSCLRCN first automatically learns saliency related local feat...

Wrong-route or -patient medication errors due to human mistakes have been considered difficult to resolve in clinical settings. In this study, we suggest a safety injection system that can help to prevent an injection when a mismatch exists between the drug and route or patient. For this, we prepared two distinct adapters with key and keyhole patterns specifically assigned to a pair of drug and...