Large-scale data analysis is an important activity in many organizations that typically requires the deployment of data-intensive workflows. As data is processed these workflows generate large intermediate results, which are typically pipelined from one operator to the following. However, if materialized, these results become reusable, hence, subsequent workflows need not recompute them. There ...

Resistive Switching Memory The RuO2 electrode is used to suppress the selector degradation during switching operation. one selector-one resistive memory (1S1R) array using with superior performance fabricated implement a hardware neural network. 1S1R effectively sneak current through high nonlinearity of selector. Three simple alphabets, “L”, “I”, and “X” are classified array, proposed device s...

The widespread availability of portable computing power and inexpensive digital cameras is opening up new possibilities for retailers. One example is in optical shops, where a number of systems exist that facilitate eyeglasses selection. These systems are now more necessary as the market is saturated with an increasingly complex array of lenses, frames, coatings, tints, photochromic and polariz...

production of the selector itself — not initiation of its expression (Figure 1B). Initiation of terminal selector gene expression is, rather, triggered through transient regulatory inputs — signals and transcription factors that are only temporally present in a short window of time when a neuron is born. These transient inputs feed into the terminal selector locus via cis-regulatory elements th...

Libraries of phages displaying diverse peptides are typically surveyed by affinity selection, using immobilized biomolecules as selectors. After exposing the library to the selector and washing away unbound phages, the bound phages are enriched for clones displaying selector binding peptides. Those phages are recovered by release from the selector and propagation in fresh host cells. Release is...

Which samples should be labelled in a large dataset is one of the most important problems for training deep learning. So far, variety active sample selection strategies related to learning have been proposed literature. We defined them as Active Deep Learning (ADL) only if their predictor or selector model, where basic learner called and labeling schemes are selector. In this survey, we categor...

Aspect Oriented Programming is an increasingly popular approach used to increase the modu-larity of applications. The Compose* project implements an aspect oriented programming language based on the .NET platform. By using the Common Language Infrastructure defined by .NET it is independent of a particular implementation language. Using Compose*, it is possible to define concerns that superimpo...

We investigate methods for exploiting nondeterminism inherent within the Tile Assembly Model in order to generate uniform random numbers. Namely, given an integer range {0, . . . , n− 1}, we exhibit methods for randomly selecting a number within that range. We present three constructions exhibiting a trade-off between space requirements and closeness to uniformity. The first selector selects a ...

Behavior trees (BTs) emerged from video game development as a graphical language for modeling intelligent agent behavior. However as initially implemented, behavior trees are static plans. This paper adds to recent literature exploring the ability of BTs to adapt to their success or failure in achieving tasks. The “Selector” node of a BT tries alternative strategies (its children) and returns s...