Results 91 to 100 of about 96,189 (287)

Steady state analysis of balanced-allocation routing

, 2002
We compare the long-term, steady-state performance of a variant of the standard Dynamic Alternative Routing (DAR) technique commonly used in telephone and ATM networks, to the performance of a path-selection algorithm based on the "balanced-allocation ...
Anagnostopoulos, Aris, Kontoyiannis, Ioannis, Upfal, Eli   +2 more
core   +1 more source

Multi-User Ultra-Massive MIMO for very high frequency bands (mmWave and THz): a resource allocation problem [PDF]

, 2018
A dynamic subarray allocation for multi-user massive MIMO systems working in very high frequency bands (mmWave and THz) is proposed as a promising technique to unleash the capacity limits in future cellular networks capable of supporting high consuming ...
Rodrigo Muñoz, Santiago
core   +1 more source

Multi-operability and dynamic bandwidth allocation in PONs with electrically reconfigurable SOA/REAM-based ONUs

, 2010
An approach to integrate dynamic bandwidth allocation and multi-operability for WDM-PONs is demonstrated with a symmetrical SOA/REAM-based ONU design and C/L waveband 10Gb/s burst-mode operation, allowing electrical reconfigurability of the ONU's ...
Bauwelinck, Johan, Kazmierski, C, Lazaro, JA, Prat, J, Qiu, Xing-Zhi, Schrenk, B   +5 more
core   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Dynamic priority-based bandwidth allocation scheme for machine type communications

EURASIP Journal on Wireless Communications and Networking
The burgeoning realm of Machine Type Communications (MTC) has ushered in a paradigm shift in wireless communication, necessitating innovative strategies to efficiently manage diverse application requirements.
David Martin Amitu, Roseline N Akol, Jonathan Serugunda   +2 more
doaj   +1 more source

On QoS-assured degraded provisioning in service-differentiated multi-layer elastic optical networks

, 2017
The emergence of new network applications is driving network operators to not only fulfill dynamic bandwidth requirements, but offer various grades of service. Degraded provisioning provides an effective solution to flexibly allocate resources in various
Figueiredo, Gustavo B., Hua, Nan, Li, Jipu, Li, Yanhe, Mukherjee, Biswanath, Zheng, Xiaoping, Zhong, Zhizhen   +6 more
core   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach

Journal of Forecasting, EarlyView.
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant, Matus Mrazik, Steve Satchell   +2 more
wiley   +1 more source