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Earlier sources: Hardware
Hardware is the physical foundation of computing: chips, sensors, devices, networks, and the processes that manufacture them. Follow semiconductor research, compute architectures, and engineering developments alongside their software and energy connections.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗523 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Domestic sensor-based monitoring for supporting independent-living older adults: A scoping review ↗
Population ageing is accelerating globally, placing increasing pressure on local health and social care systems. Older people who remain living independently generally have better health outcomes and use fewer care resources. Moreover, many older people express a preference for living independently. Therefore, supporting independent living represents a cost-effective objective for health and care systems. One potential means for supporting such ageing in place is domestic sensor-based activity monitoring technologies; however, to date evidence on their effectiveness, usability, and real-world…
- OpenAlex · Published · First archived
Sensitivity Enhanced and Noises Suppressed Double-Fish-Tail-Shaped Fiber Bragg Grating Sensor for Heart Rate Monitoring ↗
Wearable fiber Bragg grating (FBG) sensors offer attractive advantages for physiological monitoring. However, the weak strain generated by respiration and cardiac activity and the susceptibility to laser intensity noise and motion-induced disturbances remain major challenges. In this work, we propose and experimentally validate a flexible double-fish-tail structural FBG sensor employing differential intensity demodulation technology, which intrinsically supports dual-parameter sensing of respiratory rate and heart rate via frequency-domain separation. Wearable experiments demonstrate stable de…
- OpenAlex · Published · First archived
From AI Compute Growth to Grid Stress: A Conditional Scenario-Screening Framework for the EU-27 and the United Kingdom to 2035 ↗
AI-led data-centre expansion requires distinctions between annual electricity, coincident power, conditional headroom exposure and emissions. We develop a scenario-screening framework for 28 European countries in 2030 and 2035. An illustrative 62.25 TWh regional benchmark combines an Irish metered anchor with assumed non-Irish allocations. Four scenarios separate service growth, computational efficiency, facility overhead, peak coincidence and grid intensity. Four analytical or conditional propositions replace empirical hypothesis tests. Reported uncertainty uses one archived 10,000-draw paire…
- OpenAlex · Published · First archived
Multi-Sensor Dictionary Fusion-Driven Sparse Representation Classification Method for Gearbox Fault Diagnosis ↗
As a powerful tool for sparse signal representation, dictionary learning has gained traction in data-driven fault diagnosis. However, noise interference exists in actual industrial environments; noise as a common feature across all classes inevitably covers discriminative features, thereby impairing the diagnostic performance of methods reliant on dictionary learning. To tackle this challenge, this paper proposes a multi-sensor dictionary fusion-driven sparse representation classification method. The initial step involves leveraging a low-rank shared dictionary learning technique to extract di…
- OpenAlex · Published · First archived
Biomechanical Design, Additive Manufacturing, and Proof-of-Concept Evaluation of a 3D-Printed Transradial Prosthesis with a Manual Ratchet-Type Locking Mechanism ↗
Background/Objectives: Upper-limb loss represents a critical clinical and socioeconomic challenge globally. While myoelectric devices offer multi-articulated grasping, their high cost restricts access in low-resource settings. This work presents the preliminary biomechanical design, Fused Deposition Modeling (FDM) manufacturing, and proof-of-concept evaluation of a custom transradial prosthesis (EVA) with a manual, incremental ratchet-type tensioning mechanism. Methods: Virtual CAD assembly was parametrically customized from user anthropometry. Finite Element Analysis (FEA) incorporating trans…
- OpenAlex · Published · First archived
A descriptor-oriented reporting framework for lanthanide-doped upconversion nanoparticle–semiconductor heterostructures in NIR-activated photocatalysis: Photophysics, interfaces, and ML-ready data ↗
Near-infrared (NIR) photons remain underutilized in heterogeneous photocatalysis because most semiconductor catalysts absorb mainly ultraviolet or visible light. Lanthanide-doped upconversion nanoparticles (UCNPs) can convert NIR excitation into UV-visible emission and thereby activate coupled semiconductors below their intrinsic bandgap. However, performance is governed by an interdependent parameter space spanning host lattice, dopant distribution, multilayer architecture, surface ligand, spectral overlap, interfacial contact, charge-transfer kinetics, reaction medium, irradiation geometry,…
- OpenAlex · Published · First archived
Fault-Diagnosis-Aware Adaptive Policy Switching for Robust Map-Free Mobile Robot Navigation Under Sensor and Control Degradation ↗
Heterogeneous sensor and control degradation can destabilize direct sensor-to-action navigation. This study presents a fault-diagnosis-aware adaptive policy-switching framework that combines a calibrated seven-class temporal health-state classifier with hysteretic routing among nominal, robust-fallback, and six fault-specialized proximal policy optimization (PPO) policies. Unlike monolithic robust reinforcement learning, the architecture makes the inferred degradation mode an explicit and auditable control variable and separates health-state inference from behavior selection. Across a large he…
- OpenAlex · Published · First archived
Study of the Stability of Parameters of Red-Range Semiconductor Laser Emitters for Fiber-Optic Sensors of Monitoring Systems ↗
The study is aimed at selecting low-cost semiconductor laser emitters for fiber-optic sensors of systems that monitor the technical condition of mine workings, open pits and monolithic building structures. One specimen of each of the three commercial red laser emitters used in visual fault locators, Guangyan, YJ-550C and KFL-11M, with a rated power of 50 mW and a rated wavelength of 630 nm, was investigated. The optical power was recorded every 10 min during 240 min of continuous operation after a one-hour warm-up. The optical frequency was measured by heterodyning with the iodine-stabilized H…
- OpenAlex · Published · First archived
Role of Language-Derived Semantics in Knowledge Distillation on Wearable Sensor Data ↗
Wearable sensor-based human activity recognition (HAR) has been widely studied for understanding human activities from time-series data. However, wearable sensor data exhibit substantial inter-individual variations, while the signal differences between activities can be relatively subtle. These characteristics make it challenging to learn effective representations for activity recognition. Considering these limitations, human cognition provides a useful motivation, as raw signals are interpreted together with prior knowledge and contextual expectations, suggesting that language-derived semanti…
- OpenAlex · Published · First archived
Fuzzy Fault Detection and Band-Conditioned Data Quality Assessment for Sensor Streams: A Continuous Glucose Monitoring Case Study ↗
Sensor faults can propagate beyond raw measurements and distort the aggregates used to interpret a monitored phenomenon. We propose a domain-agnostic, five-layer fuzzy pipeline that characterizes the reliability of a sensor stream jointly over time and value bands and carries it through to every derived aggregate: (L1) fault tagging of each sample against five fuzzy failure primitives; (L2) fuzzy windowing; (L3) band reliability; (L4) routed repair with propagated reconstruction uncertainty; and (L5) veracity aggregation with linguistic protoforms. An end-to-end acquisition architecture is als…
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How to assess evidence about Hardware
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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