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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.
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Open in the map ↗531 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
Analysis of energy consumption and pollutants in additive manufacturing: a comparison of ABS, PLA, and PETG by operational stages ↗
This study presents a multi-domain experimental framework for evaluating the environmental and energetic behavior of desktop fused deposition modeling (FDM) under controlled enclosure conditions. A sensor-instrumented data acquisition platform was developed to continuously monitor chamber temperature, relative humidity, electrical power demand, carbon dioxide, total volatile organic compounds (TVOCs), and fine particulate matter (PM 2.5 ) throughout four operational stages: Sensor Preheating, Printer Initialisation, Printing, and post-print Resting. An 18-run experimental matrix was implemente…
- OpenAlex · Published · First archived
Engineering the tumor microenvironment through organoid on chip guided nanomedicine for precision oncology ↗
Tumor Microenvironment (TME) is a major determinant of tumor progression, immune evasion, metastasis, and therapeutic resistance, yet its complexity remains inadequately represented by conventional preclinical models. Two-dimensional cell cultures and animal models often fail to reproduce the cellular heterogeneity, biomechanical forces, vascular architecture, and dynamic biochemical gradients of human tumors, limiting their predictive value for clinical translation. Patients derived organoids (PDOs) and organ-on-chip (OoC) technology has recently been developed to create biomimetic platforms…
- OpenAlex · Published · First archived
Decentralizing Clinical Tumor Exome Analysis: On-Premises GPU-Based Secondary Analysis in a Clinical Molecular Laboratory ↗
Background/Objectives: Clinical tumor sequencing has become central to precision oncology, yet secondary genomic analysis remains heavily dependent on cloud or centralized computational infrastructure, creating barriers related to cost, turnaround time, data governance, and accessibility. We demonstrate that secondary analysis of clinical tumor exomes can be performed entirely within a clinical molecular laboratory using workstation-class GPU hardware, eliminating dependence on external computational infrastructure. Methods: Sequence data generated off site were analyzed on premises with a var…
- OpenAlex · Published · First archived
Integrating Facility Layout Planning, Discrete-Event Simulation, Machine Learning, and Immersive Visualization: A Comparative Study of Two Manufacturing SMEs ↗
Facility-layout decisions in small manufacturing firms are often evaluated with heterogeneous indicators, which complicates comparison and reproducibility. This study develops a traceable decision-support workflow and applies it to two manufacturing SME cases in Cotopaxi, Ecuador. Systematic Layout Planning and Guerchet were used as the common core, complemented by case-specific location and prioritization tools, three-dimensional discrete-event simulation in FlexSim, bounded surrogate-model screening, and Meta Quest 2-based immersive review. IPMATOAH’s model comparison increased output from 1…
- OpenAlex · Published · First archived
Deep learning prediction of cold-side quality characteristics from hot-side infrared sensing in glass bottle manufacturing ↗
Quality inspection in glass bottle manufacturing traditionally occurs on the cold side of the production line, after the containers have cooled sufficiently for contact-based or optical measurements. While this ensures reliable defect identification, it introduces a substantial delay between forming and feedback, limiting opportunities for real-time process control and waste reduction. In this study, we present an industrial Artificial Intelligence (AI) framework that predicts cold-side quality characteristics directly from hot-side infrared measurements acquired immediately after mold release…
- OpenAlex · Published · First archived
Temperature Capacitive Sensors Based on Liquid Crystalline Gels ↗
Capacitive temperature sensors are attractive for soft and wearable electronics due to their low power consumption and simple architecture, yet their sensitivity is typically limited by the weak thermal response of conventional solid dielectrics. Liquid crystals, exhibiting strong temperature-dependent properties, represent a promising strategy to overcome this limitation, but their intrinsic fluidity compromises mechanical robustness and long-term stability. Here, we present a capacitive temperature sensor based on a liquid crystal gel (LCG), in which a low-molecular-weight nematic liquid cry…
- OpenAlex · Published · First archived
Topology optimization of heat sinks for multi-chip systems considering thermal interaction and load imbalance ↗
The increasing power density of multi-chip electronic systems poses thermal-management challenges associated with localized hotspots, unequal chip loading, and inter-chip thermal coupling. Existing topology-optimization studies for electronic cooling have largely focused on single heat sources or individual operating conditions, while thermal interaction between multiple chips under varying power combinations has received less attention. This study develops a multi-load topology-optimization approach for a dual-chip heat sink under steady-state heat conduction. Nine representative load cases a…
- OpenAlex · Published · First archived
Development of a novel hybrid powder bed friction stir additive manufacturing-friction stir forging process for fabrication of AA6061 spur gear: process development, thermomechanical modeling, and process-structure-property correlation ↗
Existing manufacturing processes often struggle to fabricate lightweight gears with reliable mechanical properties while simultaneously achieving full densification, microstructural homogeneity, and near-net-shape geometric complexity. In the present work, a novel hybrid solid-state manufacturing route combining powder bed friction stir (PBFS) additive manufacturing and friction stir forging (FSF) was developed to fabricate AA6061 spur gears from powder feedstock by sequentially integrating both processes within a single manufacturing setup. The process involved layer-wise deposition of AA6061…
- OpenAlex · Published · First archived
FAMIUM Green: An Automated Hardware-in-the-Loop Framework for Energy Characterization of Video Streaming Devices ↗
The rapid growth of video streaming, which now accounts for over 70% of global internet traffic, has intensified scrutiny of the energy footprint of end-user streaming devices. This paper presents FAMIUM Green, a fully automated hardware-in-the-loop measurement framework designed for reproducible energy characterization of heterogeneous streaming devices, including smart TVs, streaming boxes, and mobile devices. The framework synchronizes hardware-level power acquisition with streaming session metadata via MPEG-SAND protocol events, allowing power changes to be linked to specific content and s…
- OpenAlex · Published · First archived
AoI-aware coexistence scheduling for industrial wireless sensor networks under uncontrollable external networks via deep reinforcement learning ↗
Industrial wireless sensor networks (IWSNs) are increasingly deployed in shared-spectrum environments, where coexistence with external wireless networks is often unavoidable. Existing coexistence scheduling methods usually rely on joint coordination frameworks that assume all coexisting networks are observable and manageable. In practice, however, some external networks are independently operated and uncontrollable, while their internal access rules and future transmission behaviors are unavailable to the target IWSN. This paper investigates an age-of-information (AoI)-aware coexistence schedu…
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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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