This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. kind is typically measured by time-consuming attack simulation, which returns sequence values that record remaining after node- or edge-removal For improvement, this develops an efficient framework for prediction, spatial pyramid pooling convolutional neural (SPP-CNN). The new installs layer between fully-connected layers, overcoming common mismatch issue in CNN-based...

Network robustness refers to the ability of a network continue its functioning against malicious attacks, which is critical for various natural and industrial networks. can be quantitatively measured by sequence values that record remaining functionality after sequential node-or edge-removal attacks. Robustness evaluations are traditionally determined attack simulations, computationally very time-consuming sometimes practically infeasible. The convolutional neural (CNN)-based prediction...

Permanent magnetic structures with controlled dimension and architecture (labyrinthine, hexagonal, or dispersed columnar) are formed in a partially miscible ferrofluid-nonferrofluid mixture under the influence of perpendicular field. The origin permanent structures, which have characteristic lateral dimensions ranging from 1 to 10 μm, is repartitioning ferrofluid carrier solvent into nonferrofluid polymeric phase. This polymer-solvent phase separation field leads departures expected final...

The No Free Lunch Theorem tells us that no algorithm can beat other algorithms on all types of problems. selection structure is proposed to select the most suitable from a set for an unknown optimization problem. This paper introduces innovative approach called CNN-HT, which two-stage framework. In first stage, Convolutional Neural Network (CNN) employed classify second Hypothesis Testing (HT) technique used suggest best-performing based statistical analysis performance metric address...

Connectivity and controllability of a complex network are two important issues that guarantee networked system to function. Robustness connectivity guarantees the function properly stably under various malicious attacks. Evaluating robustness using attack simulations is time consuming, while convolutional neural (CNN)-based prediction approach provides cost-efficient method approximate robustness. In this paper, we investigate performance CNN-based approaches for prediction, when partial...

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSynthesis of Cellulose-Type Polyriboses and Their Branched Sulfates with Anti-AIDS Virus Activity by Selective Ring-Opening Copolymerization 1,4-Anhydro-.alpha.-D-ribopyranose DerivativesTakashi Yoshida, Chengpei Wu, Lixin Song, Toshiyuki Uryu, Yutaro Kaneko, Toru Mimura, Hideki Nakashima, Naoki YamamotoCite this: Macromolecules 1994, 27, 16, 4422–4428Publication Date (Print):August 1, 1994Publication History Published online1 May 2002Published...

Copoly(PPO–THF) (oxypropane–tetrahydrofuran) diol and triol were synthesized by cationic copolymerization of PPO–THF in the presence 1,4-butanediol (BD) or 2,2′-dihydroxymethyl butanol (DHMB). The results proton nuclear magnetic resonance verified chemical structure obtained triol. amounts end hydroxyl group for measured analysis method. Linear (B-series) crosslinked (T-series) polyurethanes prepared from triol, respectively. weight ratio hard segment soft domain was calculated with Fourier...

Despite various measures across different engineering and social systems, network robustness remains crucial for resisting random faults malicious attacks. In this study, refers to the ability of a maintain its functionality after part has failed. Existing methods assess using attack simulations, spectral measures, or deep neural networks (DNNs), which return single metric as result. Evaluating is technically challenging, while evaluating practically insufficient. This article proposes...

Abstract The miscibility of blends phenoxy polymer 1 from bisphenol A and epichlorohydrin polyacrylates is studied using differential scanning calorimetry (DSC) Fouriertransform infrared (FTIR) spectroscopy. DSC curves show that poly(alkyl acrylate)s are immiscible with phenoxy. IR spectra there exists weak hydrogen‐bonding interaction between poly(methyl acrylate) behavior various phenoxy/polyacrylate cannot be satisfactorily explained by a non‐hydrogenbonded solubility parameter approach....

From the perspective of network attackers, finding attack sequences that can make significant damage on controllability is an important task, which also helps defenders improve robustness during constructions. Therefore, developing effective strategies a key aspect research and its robustness. In this paper, we propose Leaf Node Neighbor-based Attack (LNNA) strategy effectively disrupt undirected networks. The LNNA targets neighbors leaf nodes, when there are no nodes in network, attacks...

From the perspective of network attackers, finding attack sequences that can cause significant damage to controllability is an important task, which also helps defenders improve robustness during constructions. Therefore, developing effective strategies a key aspect research on and its robustness. In this paper, we propose Leaf Node Neighbor-based Attack (LNNA) strategy effectively disrupt undirected networks. The LNNA targets neighbors leaf nodes, when there are no nodes in network, attacks...

Edge rectification is a widely used method to enhance network robustness. However, in some networked systems, edge may be challenging or even infeasible implement. An addition strategy proposed as an alternative optimization this paper. Nested Ring Structure (NRS), whereby each node's edges connect its nearest neighbors along the backbone direction, have exhibited robust controllability against random attacks. Therefore, The Addition (NEA) proposed, which enhances by building NRS through...

In multilabel classification, the problems of a large number classification calculations and easy destruction label relations are very common. To solve these problems, hierarchical method based on clustering is proposed by mining possible dependencies between labels. First, algorithm adopts local strategy to cluster labels multiple times. Then, clusters with relation formed, implicit relationships hidden in analyzed. On this basis, clustered tree constructed train model. Finally, as random...

A series of crosslinked copolymers poly(ethylene glycol-co-2,4-tolyl diisocyanate-co-(alkali-metal methacrylates)) were prepared by copolymerization polyurethane oligomer with alkali-metal methacrylate. Cast films these obtained UV-crosslinked polymerization are completely amorphous and have a relatively low Tg. The provide good mechanical properties high ionic conductivity without additional solvent or inorganic salts. DC the at room temperature is stable over time indicating that copolymer...

Abstract A new monomer, 2‐methylene‐7‐oxabicyclo[2.2.1]heptane ( IV ) was synthesized via four steps. Its structure confirmed by IR, 1 H‐NMR, and 13 C‐NMR spectra as well elementary analysis. Free radical polymerization copolymerization of were investigated. No homopolymer obtained due to the effect allyl inhibition. When copolymerized with electron‐donor monomers, such vinyl acetate stvrene, acted inhibitor for acetate, but could not inhibit styrene. However, copolymers electron‐accepting...

This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. kind is typically measured by time-consuming attack simulation, which returns sequence values that record remaining after node- or edge-removal For improvement, this develops an efficient framework for prediction, spatial pyramid pooling convolutional neural (SPP-CNN). The new installs layer between fully-connected layers, overcoming common mismatch issue in CNN-based...

Abstract The No Free Lunch theorem tells us that no algorithm can beat other algorithms on all types of problems. selection structure is proposed to select the most suitable from a set for an unknown optimization problem. In this paper, innovative approach called CNN-HT two-stage framework introduced. first stage, Convolutional Neural Network (CNN) employed classify second Hypothesis Testing (HT) technique used suggest best-performing based statistical analysis performance metric address...

In this paper, we discuss a set of novel initiatives aimed at educating and training the next generation quantum engineers via combination conventional coursework, project based learning institutional partnerships. Toward end, role our newly – designed laboratory experiments, together with recently installed commercial key distribution (QKD) test bed as quintessential tool to provide "hands on" skills Master Engineering (MEng) degree students. Of particular importance is emphasis on...