Mobile Edge Computing (MEC) brings abundant cloud resources to the edge of network and provides great opportunities improve user's quality experience. While many recent studies have investigated problem computation offloading, service caching is also an important design topic MEC. Service stores application-related databases or libraries in advance enables corresponding user tasks be offloaded. Due limited server, decisions made judiciously maximize system performance. In this paper, we...

The N-terminal glycine (Gly/N-degron) serves as a degradation signal recognized by specific E3 ligases, playing crucial role in protein quality control and maintaining intracellular homeostasis. Zinc finger ubiquitin ligase 1 (ZER1), substrate receptor of the Cullin 2-RING ligase, recognizes other small residues (such serine, alanine, cysteine), mediating through Gly/N-degron pathway. In this study, we employed all-atom molecular dynamics (MD) simulations binding free energy calculations to...

For Internet and cloud computing service providers, running massive geo-distributed data centers incurs prodigious electricity cost water consumption as well carbon emission rooted in generation. Thus, it is critical significant for providers to lower down the operation of centers. In this article, we investigate problem energy management with renewable resources storages. We aim minimize long-term including cost, consumption, by leveraging spatiotemporal diversity these system states. To...

An autonomous agent acting on behalf of a human user has the potential causing side-effects that surprise in unsafe ways. When cannot formulate policy with only it knows are safe, needs to selectively query about whether other useful safe. Our goal is an algorithm queries as few possible find safe policy, or prove none exists. We extend prior work irreducible infeasible sets also handle our problem's complication constraint avoid side-effect be relaxed without permission. By proving...

Abstract With the continuous development and improvement of power grid technology, intelligence has become goal technology. By designing an intelligent substation inspection system, simplifies operational tasks inspectors, makes equipment more accurate, efficient, traceable. In implementation mobile terminal is responsible for collection, input, upload data, server completes data reception statistics displays it visually. And application case proves that patrol system convenient quick to...

New Intent Discovery (NID) aims to recognize known and infer new intent categories with the help of limited labeled large-scale unlabeled data. The task is addressed as a feature-clustering problem recent studies augment instance representation. However, existing methods fail capture cluster-friendly representations, since they show less capability effectively control coordinate within-cluster between-cluster distances. Tailored NID problem, we propose Robust Adaptive Prototypical learning...

New Intent Discovery (NID) aims at detecting known and previously undefined categories of user intent by utilizing limited labeled massive unlabeled data. Most prior works often operate under the unrealistic assumption that distribution both familiar new classes is uniform, overlooking skewed long-tailed distributions frequently encountered in real-world scenarios. To bridge gap, our work introduces imbalanced discovery (i-NID) task, which seeks to identify novel within distributions. A...

With the rapid development of cloud computing, data centers are increasing in quantity and scale for large Internet service providers to provide global services. The enormous operation cost attracts lots researchers' attention their huge energy consumption have brought great challenges sustainable green centers. In this paper, we investigate workload scheduling management issues geo- distributed with renewable resources storages. We formulate minimization problem including electricity cost,...

The rapid development of mobile Internet and sharing economy brings the prosperity Spatial Crowdsourcing (SC). SC applications assign various tasks according to reported location information task's requesters outsourced workers (such as DiDi, MeiTuan Uber). However, SC-servers are often untrustworthy exposure users' locations raises privacy concerns. In this paper, we design a framework called Geo-MOEA (Multi-Objective Evolutionary Algorithm with Geo-obfuscation) protect involved on platform...

In this paper, we examine the Bayesian Cramér-Rao lower bounds (BCRBs) for channel estimation in an amplify-and-forward (AF) one-way relay network (OWRN) under time selective flat fading scenario, where superimposed training is adopted at node order to achieve individual estimation. We formulate nonlinear dynamic state space channels and derive online/offline BCRBs partially-data-aided (PDA) estimator, which has imperfect statistical information about data of source, possesses fully symbols...

With the development of Internet, web page is still main form network information transmission. The number pages growing at rate 10 million a day, and also complexity itself, which all make it difficult for theme search engines to rapidly accurately. Therefore, higher requirements are put forward extraction. In this paper, DOM-based multi-factor extract Algorithm (DMWE) proposed, can