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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 ↗532 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
Peroxidase Sensor Based on Electroactive Ce3+-Phytic Acid-Cu2+@Cu Composite ↗
Peroxide is a vital oxidant that can quickly kill bacteria, viruses, and fungi in food and ensure food safety. However, excessive intake will stimulate the gastrointestinal tract, cause abdominal pain and vomiting, and its strong oxidation will also destroy the vitamin and protein structure in food. Cerium-based nanomaterials exhibit good biocompatibility and strong chemical stability, and have significant application value in biological detection. Cu nanoparticles were deposited on the surface of a glassy carbon electrode (GCE) by potentiostatic deposition. The Ce3+/PA-Cu2+@Cu/GCE sensor was…
- OpenAlex · Published · First archived
A 0.55-THz on-chip near-field edge-sensing probe in 130-nm SiGe technology ↗
Abstract This work presents a terahertz (THz) single-pixel near-field sensor fabricated in 130-nm SiGe BiCMOS technology, which operates from a diced chip edge. The proposed sensor integrates a triple-push Colpitts oscillator serving as the THz source, a passive sensing structure based on coupled transmission lines, and an on-chip power detector with an operating frequency of approximately 547 GHz. A monotonic mapping between permittivity variation and DC output voltage of the detector is achieved, enabling amplifier-free direct sensing. In contrast to conventional top surface-sensing near-fie…
- OpenAlex · Published · First archived
Fine-GrainedEnergy Assessment of Vision Transformer Operators on Hybrid SoC Platforms: A CPU, iGPU, and NPU Case Study ↗
As CPUs alone are often insufficiently efficient for running Vision Transformers (ViTs), contemporary computing platforms, particularly edge systems, increasingly adopt heterogeneous architectures that combine CPUs with GPUs and Neural Processing Units (NPUs). This paper presents a detailed energy assessment of individual ViT functions running on a modern hybrid processor, the AMD Ryzen AI 9 HX 370, which features a CPU, an integrated GPU (iGPU), and a dedicated Neural Processing Unit (NPU). Unlike macro-level benchmarks, our analysis takes a fine-grained approach by focusing on the most widel…
- OpenAlex · Published · First archived
Development of a Dual-Arm Robotic Cell for Automated Manufacturing of Variable-Geometry Thermoplastic Composite Ducts ↗
This research focuses on the development of a robotic cell test bench for manufacturing variable-geometry tubular parts with minimal manual intervention. The system integrates dual-arm manipulation with cutting and laser-welding stations and was evaluated in collaboration with an industrial partner with strict requirements on joint strength and sealing performance. The experimental investigation characterized the influence of key welding process parameters, particularly the robot end-effector travel speed (mm/s) and laser power (W), on the mechanical performance of the welded joints. These par…
- OpenAlex · Published · First archived
A rotor dynamic balancing method without trial weights based on multi-sensor feature fusion with an attention mechanism ↗
Accurate identification of unbalance parameters lies at the core of rotor dynamic balancing technology. In this paper, a deep learning approach is integrated with rotor dynamic balancing theory, and a multi-sensor feature fusion dynamic balancing method without trial weights based on the attention mechanism is proposed. First, considering the unique nature of the dynamic balancing process, a rotor model with varying unbalance parameters was established, and the dataset for model training was augmented by adding bandpass noise. Subsequently, a neural network model for unbalance identification b…
- OpenAlex · Published · First archived
Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring ↗
Wearable medical devices represent a most adequately investigated research paradigm inherent to their continuous, non-invasive health monitoring capabilities. Electrochemical biosensors are the basic units in such devices, and they are responsible for reliable biomarker measurements from non-invasive biofluids like sweat. However, such biosensors are often affected by calibration drift, which directly influences the reliability of their results. Biosensor responses are affected by numerous factors like device-dependent parameters, environmental variability, and complex physiological factors. T…
- OpenAlex · Published · First archived
Energy-efficient clustering and routing protocol for wireless sensor networks based on improved HOA and attention-guided D3QN ↗
Abstract Clustering and routing protocols are widely regarded as effective methods for improving energy efficiency and extending network lifetime in wireless sensor networks. However, existing protocols often insufficiently consider dynamic energy distribution and topology characteristics, which may lead to imbalanced cluster structures, uneven energy consumption, and additional communication overhead. To address these issues, this paper proposes HOADRL, an energy-efficient clustering and routing protocol based on the hiking optimization algorithm (HOA) and deep reinforcement learning. First,…
- OpenAlex · Published · First archived
Novel Interdigitated Electrode Conductometric Sensor for Rapid, Sensitive, and Selective Detection of cTnI Biomarkers in Saliva ↗
Accurate and sensitive detection of cardiac troponin I (cTnI), a key biomarker of myocardial infarction, is essential for the early diagnosis and management of cardiovascular diseases. Although cTnI biosensors offer promising alternatives to conventional detection methods, many are limited by complex fabrication, insufficient sensitivity, and cumbersome detection procedures. This work presents a novel conductometric interdigitated electrode (IDE) sensor fabricated on a high‐resistivity silicon wafer for rapid, noninvasive, sensitive, and selective detection of cTnI in saliva. The sensor employ…
- OpenAlex · Published · First archived
A Sensor-to-API Data Infrastructure for Building Digital Twins: Harmonizing Multi-Rate IoT Energy and Indoor Data Streams for Proactive Analytics ↗
Digital twins are increasingly used in smart buildings to monitor energy use. This requires reliable sensor data, geospatial information, and semantically rich 3D building geometry. However, building sensor data often has inconsistent sampling, missing timestamps, extreme spikes, and restricted access, hindering reproducibility and integration with spatial and 3D building models. This paper presents a sensor-to-API data infrastructure that prepares heterogeneous building sensor data for integration into a digital twin platform implemented at the GATE Institute. Circuit-level electricity data w…
- OpenAlex · Published · First archived
Fractional Lord–Shulman Modeling of Photothermoelastic Carrier Dynamics in a Fiber-Reinforced Anisotropic Semiconductor Half-Space with Magnetic and Gravity Coupling ↗
This study develops a fractional Lord–Shulman thermoelastic formulation for coupled photothermoelastic carrier dynamics in a fiber-reinforced anisotropic semiconductor half-space with magnetic and gravity coupling. The governing thermal, elastic, carrier diffusion, and electromagnetic equations are reduced by a normal mode/state-space procedure and solved semi-analytically: the field reduction is analytical, whereas the admissible eigenvalues and boundary constants are evaluated computationally. A Caputo time-fractional operator represents hereditary thermal transport, and the formulation reco…
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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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