Mobile robot localization: Current challenges and future prospective

Computer Science Review, Journal Year: 2024, Volume and Issue: 53, P. 100651 - 100651

Published: July 5, 2024

Language: Английский

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Hypergraph denoising neural network for session-based recommendation

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(6)

Published: Jan. 31, 2025

Language: Английский

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Environmental footprints of the data center service sector in Sweden

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31290 - e31290

Published: May 18, 2024

Language: Английский

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Intelligent Text Mining for Ontological Knowledge Graph Refinement and Patent Portfolio Analysis—Case Study of Net-Zero Data Center Innovation Management

Information, Journal Year: 2024, Volume and Issue: 15(7), P. 374 - 374

Published: June 28, 2024

Ontological knowledge graph (OKG) is a well-formed visual representation that depicts organization in formal elements (e.g., entities and attributes) their interrelationships. OKG crucial for innovation management analysis as it provides clear boundary to understand complex domain detail. In the patent field, facilitates definition of well-defined portfolio, aiming accurate complete retrievals subsequent analyses. recent decade, rapid growth information communication technology (ICT) sector has rendered data centers (DCs) indispensable processing, storage, cloud computing, while ensuring security privacy during DC operations. However, energy-intensive operations pose challenges global efforts toward achieving net-zero emissions goals. response, this research develops refinement process uses case study in-depth application portfolio analysis. The covers five sub-technologies. Utilizing proposed framework, 1801 most decade’s patents related relevant “DC technologies” are retrieved analyzed. Particularly case, colocation server-as-a-service perspectives newly discovered sub-domains refinement. Furthermore, also adopts function matrix maturity assess current future development trends, providing insights supporting strategic management.

Language: Английский

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A relax-and-round optimization algorithm for online NUMA-aware virtual machine placement

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 271, P. 126653 - 126653

Published: Jan. 31, 2025

Language: Английский

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Restoring somatotopic sensory feedback in lower limb amputees through non-invasive nerve stimulation

Cyborg and Bionic Systems, Journal Year: 2025, Volume and Issue: 6

Published: Jan. 1, 2025

Patients with lower limb amputation experience ambulation disorders since they rely exclusively on visual information in addition to the tactile receive from stump–socket interface. The lack of sensory feedback commercial prostheses is essential their abandonment by patients transtibial (TTA) or transfemoral (TFA). Recent studies have obtained promising results using invasive interfaces peripheral nervous system presenting drawbacks related surgery. This paper aims (a) investigate potential transcutaneous electrical nerve stimulation (TENS) as noninvasive means for restoring somatotopic amputees and (b) evaluate effect over a 4-week experimental protocol. first phase study involved 13 participants (6 TTA 7 TFA), second one evaluated long-term TENS performance 2 (S1 S7 TFA). proposed enhanced participant’s significantly increasing body weight distribution between legs (S1: 134% 143%, P < 0.0055; S7: 66% 72%, 0.0055) gait symmetry step length index 11% 5%, stance −4% −2%, 0.0055). It led postamputation neuropathic pain reduction S1 (neuropathic symptom inventory score diminished 6 0). demonstrates how prosthesis embodiment, enabling greater load bearing more physiological patterns. highlights solution feedback, addressing current limitations paving way further research.

Language: Английский

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Rethinking information fusion: Achieving adaptive information throughput and interaction pattern in graph convolutional networks for collaborative filtering

Information Fusion, Journal Year: 2025, Volume and Issue: 120, P. 103050 - 103050

Published: March 5, 2025

Language: Английский

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SEEVMC: A secure, energy‐efficient virtual machine consolation approach for QoS in cloud data centers

ETRI Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Abstract Cloud computing faces challenges in energy consumption and quality of service (QoS). Virtual machine (VM) consolidation, involving relocation between hosts, helps reduce power usage enhance QoS. OpenStack Neat, a leading VM consolidation framework, uses the modified best‐fit decreasing (MBFD) strategy but QoS issues. To address these, we present secure efficient (SEEVMC) method, introducing unique host selection criterion based on incurred loss during placement. We evaluated SEEVMC with real‐time workload data from PlanetLab Materna over ten days using CloudSim. For PlanetLab, reduced by 78.33%, 57.74%, 19.57%, 6.30% system‐level agreement (SLA) violations 92.49%, 92.78%, 45.16%, 15.67%, compared MBFD, power‐aware best fit decreasing, medium power‐efficient bit decreasing. Materna, 14.12%, 59.5%, 3.92%, 3.80% fewer SLA 74.85%, 86.95%, 11.40%, 46.60%. also migrations time per active host, improving cloud efficiency.

Language: Английский

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A comprehensive survey of Network Digital Twin architecture, capabilities, challenges, and requirements for Edge-Cloud Continuum

Computer Communications, Journal Year: 2025, Volume and Issue: unknown, P. 108144 - 108144

Published: March 1, 2025

Language: Английский

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Trend-aware spatio-temporal fusion graph convolutional network with self-attention for traffic prediction

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 130040 - 130040

Published: March 1, 2025

Language: Английский

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