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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 ↗533 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
Upcycling Waste Toothpaste Packaging into a Flexible Triboelectric Sensor for Motion Recognition and Human–Machine Interaction ↗
The multilayer composite structure of waste toothpaste packaging hinders its effective recovery through conventional sorting and recycling processes. In this study, a flexible single-electrode triboelectric sensor based on waste toothpaste tubes (WTT sensor) was fabricated by functionally repurposing and integrating different components of toothpaste packaging waste. The aluminum–plastic composite film and aluminum foil recovered from discarded toothpaste tubes constituted the core triboelectric functional unit, with the aluminum foil also serving as the conductive electrode, while cardboard f…
- OpenAlex · Published · First archived
The process study and parameter influence in Wire Arc Additive Manufacturing (WAAM) of titanium using hot-wire plasma arc welding ↗
Abstract This research aims to study and develop the Wire Arc Additive Manufacturing (WAAM) process for titanium alloys utilizing the Hot-Wire Plasma Arc Welding (Hot-Wire PAW) technique. Due to titanium’s high susceptibility to oxidation during melting, a specialized inert gas shielding device was designed. Process optimization was subsequently conducted using a Full Factorial Design of Experiment (DOE) via Minitab software to determine the optimal parameters: a welding speed of 1.83 mm/s, a wire current of 35 A, and a wire feed rate of 0.85 m/min. Microstructural analysis utilizing the EDS t…
- OpenAlex · Published · First archived
Vision based steering control using convolutional neural networks with latency analysis and microcontroller based actuation ↗
This work presents a real-time vision-based steering control framework in which CNN-based steering inference is performed on a host PC and the resulting commands are transmitted to an Arduino UNO for microcontroller-based servo actuation. Using the SullyChen driving dataset for training, the proposed model predicts continuous steering angles from monocular images and transmits the corresponding commands to a servo motor via serial communication. The system achieves a validation mean absolute error (MAE) of 0.093 and a root mean square error (RMSE) of 0.131, outperforming a shallow CNN baseline…
- OpenAlex · Published · First archived
Current trends of soft sensor applications to monitoring pollutant removal efficiency in wastewater treatment ↗
Soft sensors offer a way to estimate wastewater treatment outcomes that are difficult to measure continuously. This review synthesizes 17 studies that predicted pollutant removal, focusing primarily on domestic and municipal wastewater treatment and including selected studies of other wastewater types for methodological comparison. We examined removal targets, model inputs, modeling approaches, validation practices, and reported performance. The studies addressed nutrients, organic matter, microbial indicators, viruses, and other pollutants. Most predicted a continuous removal outcome, while o…
- OpenAlex · Published · First archived
Applied AI for Intelligent Die and Tooling Lifecycle Management in Aluminium Manufacturing ↗
The manufacture of aluminium products by extru-sion, die casting and related machining relies on tooling whose condition affects quality, scrap and production continuity. This narrative review examines how applied artificial intelligence can connect design, production, inspection and maintenance into an intelligent tooling lifecycle. It draws on 33 research publications dated 2020–2026, comprising the original 30-publication corpus and three publications added through a targeted update. Separate guidance from the Project Management Institute informs an adaptation of Cognitive Project Managemen…
- OpenAlex · Published · First archived
Evaluation of multi-location accelerometer sensor configurations for vibration-based classification of CNC milling conditions ↗
Abstract In CNC milling processes, vibration signals are a crucial data source that directly reflects machining dynamics and changes in cutting conditions. This study aims to classify material type, feed rate, and depth-of-cut using data-driven vibration signals obtained during CNC milling of Al6061 and Al7075 aluminum alloys. Vibration data were collected from the bed and tool holder areas; a sensor-fusion approach, in which these two data sources are evaluated together, was also investigated. The dataset comprised 16 independent runs and 288 derived five-channel windows; evaluation used expe…
- OpenAlex · Published · First archived
A structured taxonomy of autonomous manufacturing systems: Capabilities, definitions, and enabling technologies ↗
Smart manufacturing has introduced adaptive, data-driven systems to the shop floor and beyond. However, current deployments operate near their technological limits, lacking the contextual adaptability, resilience, and independent decision-making required to manage unplanned disruptions. Autonomous manufacturing systems have emerged as a promising solution to overcome these deficiencies. These systems fulfill industry’s growing need for proactive rather than reactive approaches, balancing efficiency, safety, and agility. However, the field remains fragmented by inconsistent definitions, inadequ…
- OpenAlex · Published · First archived
Next‐Generation Glutamine Synthetase Expression Vector for Therapeutic Protein Manufacturing Using CHO Cells ↗
The glutamine synthetase expression system is widely used for therapeutic protein biomanufacturing in Chinese hamster ovary (CHO) cells. Here, we present the design of an enhanced glutamine synthetase vector for generating CHOK1SV GS-KO stable pools that produce recombinant proteins at multigram-per-liter levels. We first developed a synthetic promoter, LHP-1, for high-level constitutive recombinant gene transcription, achieving up to 123% increase in titer across monoclonal and bispecific antibody formats compared to the viral CMV promoter. We then demonstrate, for the first time, that the ba…
- OpenAlex · Published · First archived
From Platform Development to Scale-Up: Stable Producer Cell Line-Based Lentiviral Vector Manufacturing ↗
Background: The development of stable producer cell lines (SCLs) represents a promising alternative for lentiviral vector (LVV) manufacturing, offering improved reproducibility and reduced manufacturing costs. In previous work, our group established an SCL generation platform based on a well-characterized packaging cell line (PCL), demonstrating successful vector production at laboratory scale. However, translation of this platform to larger scales remains necessary for industrial applications. Objective: In this study, we aimed to evaluate the scalability of the existing platform and identify…
- OpenAlex · Published · First archived
Gamified IMU Sensor-Based System for Training Head-Orientation Tasks in Healthy Teenagers: Event-Driven Architecture and Randomised Pilot Feasibility Study ↗
Sensor systems integrated with gamified environments have increasingly been incorporated into the monitoring of musculoskeletal disorders. This study evaluates the operational feasibility of a motion-capture system based on an inertial measurement unit for training head-orientation tasks. Because a single sensor is placed on the head without thoracic fixation, the system estimates head orientation relative to space rather than isolated cervical motion. The event-driven architecture is organised into five logical layers and uses an asynchronous publish–subscribe bus for data acquisition, sensor…
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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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