Machine Learning (ML) models are applied in a variety of tasks such as network intrusion detection or malware classification. Yet, these models are vulnerable to a class of malicious inputs known as adversarial examples. These are slightly perturbed inputs that are classified incorrectly by the ML model. The mitigation of these adversarial inputs remains an open problem. As a step towards a mod...

Metabotropic glutamate receptors (mGluRs) are widely distributed in the central nervous system and modulate the release of neurotransmitters in different ways. We have previously shown that activation of presynaptic group II mGluRs reduces the gain of GABAergic inputs in both primary visual and auditory cortices (V1 and A1). In the present study, we sought to determine whether activation of mGl...

This paper examines the identification of multi-input systems. Motivated by an experiment design problem (should one excite the various inputs simultaneously or separately), we examine the effect of an additional input on the variance of the estimated coefficients of parametrized rational transfer function models, with special emphasis on the commonly used FIR, ARX, ARMAX, OE and BJ model struc...

В работе рассматривается вопрос сложности обратимых схем, состоящих из функциональных элементов NOT, CNOT и 2-CNOT и имеющих малое число дополнительных входов. Изучается функцииШеннонa сложности L(n, q) обратимой схемы, реализующей отображение f : Zn2 → Z n 2 , при условии, что количество дополнительных входов q 6 O(n). Доказывается оценка L(n, q) ≍ n2n / log 2 n для указанного диапазона значен...

A programmable data acquisition system to allow novel use of meteorological radiosondes for atmospheric science measurements is described. In its basic form it supports four analogue inputs at 16 bit resolution, and up to two further inputs at lower resolution configurable instead for digital instruments. It also provides multiple instrument power supplies (+8V, +16V, +5V and -8V) from the 9V r...

As semiconductor manufacturing entered into nanoscale era, performance degradation due to Negative Bias Temperature Instability (NBTI) became one of the major threats to circuits reliability. In this paper, we present a model and analysis of NBTI impact on circuit delays. First, we model NBTI impact on gate intrinsic delay and output transition delay. The insights of our models reveal that NBTI...

A programmable data acquisition system to allow novel use of meteorological radiosondes for atmospheric science measurements is described. In its basic form it supports four analogue inputs at 16 bit resolution, and up to two further inputs at lower resolution, configurable instead for digital instruments. It also provides multiple instrument power supplies (+8 V, +16 V, +5 V, and -8 V) from th...

There have been many discriminative learning methods using convolutional neural networks (CNN) for several image restoration problems, which learn the mapping function from a degraded input to the clean output. In this letter, we propose a self-committee method that can find enhanced restoration results from the multiple trial of a trained CNN with different but related inputs. Specifically, it...

This paper presents the SmartFiducial, a wireless tangible object that facilitates additional modes of expressivity for vision-based tabletop surfaces. Using infrared proximity sensing and resistive based force-sensors, the SmartFiducial affords users unique, and highly gestural inputs. Furthermore, the SmartFiducial incorporates additional customizable pushbutton switches. Using XBee radio fre...