Parcourir par sujet "Association for Computing Machinery, Inc"
Voici les éléments 1-20 de 28
-
-
Approximate Bayesian computation for granular and molecular dynamics simulations
(2016)The effective integration of models with data through Bayesian uncertainty quantification hinges on the formulation of a suitable likelihood function. In many cases such a likelihood may not be readily available or it may ... -
Byzantine fault tolerance for centrally coordinated missions with unmanned vehicles
(2020)Autonomous unmanned vehicles can support a wide range of missions, which are typically coordinated by a human operator. Automating these missions through a computer program can offer great advantages, but at the same time ... -
Carpooling Platforms in Smart Cities for COVID-19 Pandemic: A Bibliometric Analysis
(2021)Formulation of carpooling schemes for mutual cost benefits between the driver and the passengers has a long history. However, the convenience of driving alone, especially under the current COVID-19 pandemic, the increase ... -
CrossVul: A cross-language vulnerability dataset with commit data
(2021)Examining the characteristics of software vulnerabilities and the code that contains them can lead to the development of more secure software. We present a dataset (∼1.4 GB) containing vulnerable source code files together ... -
Demo: Enabling asynchronous awakenings in wireless sensor networks towards removing duty-cycle barriers
(2017)Typical wireless sensor network applications follow duty-cycle mechanisms, yielding important energy savings by reducing the power consumption of idle listening. However, this approach still dictates predefined cycles of ... -
Demo: Experimentation in controlled and operational LTE settings with FLEX-MONROE
(2017)This demo paper presents FLEX-MONROE, a platform that facilitates better understanding of current LTE Mobile Broadband (MBB) networks and enables performance improvements by allowing experimentation with controllable LTE ... -
Demo: In-situ power consumption meter for sensor networks supporting extreme dynamic range
(2017)Typical wireless sensor devices feature an extreme power consumption range between their active and sleep states, thus requiring different hardware setups for measuring their expenditure with high accuracy. In this demo ... -
EProfiler: High-Precision Power Monitoring System for IoT Devices Featuring Extreme Dynamic Range of Operation
(2020)Modern Internet-of-Things (IoT) devices and sensor systems exhibit extreme dynamic current consumption profile, since latest microprocessors and electronics support ultra-low currents in the sleep phase, of only a few nA, ... -
FLEX-MONROE: A unified platform for experiments under controlled and operational LTE settings
(2017)This paper presents FLEX-MONROE, a unique platform that facilitates achieving a thorough understanding of LTE networks, one that captures the status of current operational MBB networks and that also enables LTE performance ... -
Grand challenge: Dynamic graph management for streaming social media analytics
(2016)We present a system for analytics on streaming social media that computes the most active posts, based on the age and the amount of comments for each post, and tracks the largest communities that comprise friends that are ... -
HINDSIGHT: An R-based framework towards long short term memory (LSTM) optimization
(2018)Hyperparameter optimization is an important but often ignored part of successfully training Neural Networks (NN) since it is time consuming and rather complex. In this paper, we present HINDSIGHT, an open-source framework ... -
An iterative distance-based model for unsupervised weighted rank aggregation
(2019)Rank aggregation is a popular problem that combines different ranked lists from various sources (frequently called voters or judges), and generates a single aggregated list with improved ranking of its items. In this ... -
Meta-reinforcement learning via buffering graph signatures for live video streaming events
(2021)In this study, we present a meta-learning model to adapt the predictions of the network's capacity between viewers who participate in a live video streaming event. We propose the MELANIE model, where an event is formulated ... -
Multi-Tenancy in Smart City Platforms
(2022)Multi-tenancy emerged as a software architecture pattern in an effort to optimize the use of compute resources and minimize the operational cost of large scale deployments. Its applicability, however, needs to take into ... -
Network store: Exploring slicing in future 5G networks
(2015)In this paper, we present a revolutionary vision of 5G networks, in which SDN programs wireless network functions, and where Mobile Network Operators (MNO), Enterprises, and Over-The-Top (OTT) third parties are provided ... -
A novel hybrid approach for human silhouette segmentation
(2015)In this work we propose a novel algorithm for human silhouette segmentation, which combines characteristics from a number of well established and state of the art algorithms, such as the Gaussian mixture models, the Self ... -
A Partitioning GPU-based Algorithm for Processing the k Nearest-Neighbor Query
(2020)The k Nearest-Neighbor (k-NN) query is a common spatial query that appears in several big data applications. Typically, GPU devices have much larger numbers of processing cores than CPUs and faster device memory than main ... -
The role of compute nodes in privacy-aware decentralized AI
(2022)Mobile devices generate and store voluminous data valuable for training machine learning (ML) models. Decentralized ML model training approaches eliminate the need for sharing such privacy-sensitive data with centralized ... -
Sequence adaptation via reinforcement learning in recommender systems
(2021)Accounting for the fact that users have different sequential patterns, the main drawback of state-of-the-art recommendation strategies is that a fixed sequence length of user-item interactions is required as input to train ...