Regression testing for software product lines (SPLs) is challenging because it must ensure that all the products of a product family work correctly whenever changes are made. One approach to reducing the cost of regression testing is the regression t...
Symmetries play very important roles in the dynamics of electrical systems. The relevant electronic circuits with fault diagnostics, including the optimized neural network algorithm model, are designed on the basis of symmetry principles. In order to...
In the context of software product line (SPL) engineering, test cases can be reused for testing a family of products that share common parts of source code. An approach to test the products of a product family is to exhaustively execute each test cas...
The present paper describes the experimental campaign executed at the ENEA Brasimone Research Centre aiming at supporting the development of a PbLi/water heat exchanger suitable for the lithium–lead loops of the dual coolant lithium lead and th...
Identifying similarities in data is fundamental to discovery in science. Measuring or ranking similarity is a key way of reducing the dimensionality of data, is at the heart of many data intensive algorithms and can also be used directly for some app...
AUTOSAR Secure Onboard Communication (SecOC) protects in-vehicle messages through authentication, freshness verification, and application-delivery gating, but deployment security also depends on configuration and receiver-state handling. This paper p...
SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, the platform features massively parallel computation and an efficient communication infrastructure based on the tran...
(1) Background: chronic alcohol use is consistently associated with impaired executive functioning, but its profile across the spectrum from mild to major alcohol-related cognitive impairment is, to date, unclear. This study aims to compare executive...
Background/Objectives: Accurate and accessible assessment of upper-limb motion is essential for rehabilitation research, ergonomic evaluation, human–machine interaction, and limb exercise. This work presents a comparative evaluation of upper-li...
Design-for-test/debug (DfT/D) introduces scan chain testing to increase testability and fault coverage by inserting scan flip-flops. However, these scan chains are also known to be a liability for security primitives. In previous research, the dynami...
Mutation testing is an effective, yet costly, testing approach, as it requires generating and running large numbers of faulty programs, called mutants. Mutation testing also suffers from a fundamental problem, which is having a large percentage of eq...
Art therapy has become known by its psychosocial and affective impact, but not so much by its effects on cognitive functioning. Based on a comparison between art therapy and music-making programs, we hypothesized that guided methods—dominant in...
Code-to-code translation aims to automatically convert a program written in one programming language into a semantically equivalent, executable program in another language, and is a key enabling technology for legacy-system modernization, cross-platf...
Real-time electromagnetic-transient (EMT) simulation must complete every integration step on time even when a fixed-pattern topology change—an N-type numerical state change within an initialization-time superset sparsity pattern—alters re...
Children with fetal alcohol spectrum disorder (FASD) exhibit behavioral dysregulation, executive dysfunction, and atypical function in associated brain regions. Previous research shows early intervention mitigates these outcomes but corresponding bra...
Background: Exploratory testing has been used in the industry mainly to meet the needs of agile testing processes. In an agile scenario, this testing approach is important to facilitate changes constantly, which helps agile projects successfully. One...
The increasing complexity of automotive electronic systems requires configurable laboratory platforms for Electronic Control Units (ECUs). The conventional test approaches, such as hardware-in-the-loop systems and customized test benches, may require...
Reactive autoscalers compress workload state into a scalar, but bounded ceiling partitions jointly induced by signal and target determine replica recommendations. We formalize five signals and distinguish the positive target, bounded desired recommen...
It is demonstrated that neuromorphic materials designed for computational tasks can be effectively implemented by drawing an analogy with trigger-based systems built upon classical binary elements. Among the most promising approaches in this context...
The various measurement procedures for determination of electromagnetic parameters for the induction motor (IM) equivalent circuits including the rotor deep-bar effect were proposed in the literature. One of them is the procedure based on the load cu...
5 February 2022
(1) Background: In this research, we aimed to investigate a computational model of repetitive reaction time (RT) and virtual reaction time (VRT) testing. (2) Methods: The study involved 180 subjects (50 men, 130 women, mean age 31.61 ±...
Endpoint protection systems increasingly rely on a combination of signature-based and behavioral detection mechanisms, yet their robustness under systematic code transformation remains insufficiently understood. This paper presents a multi-category e...
This paper provides new field-based evidence on loss aversion and short-run learning using high-frequency performance data from professional golf. Leveraging over 100,000 putts recorded during the 2020 Korea Professional Golfers’ Association (K...
25 June 2021
The assessment of the actual impact of discharged wastewater on the whole ecosystem and, in turn, on human health requires the execution of bioassays. In effect, based on the chemical characterization alone, the synergistic/antagonistic effect of mix...
In this work, the mechanical performance of unidirectional thermoplastic laminates produced via a proprietary non-reactive thermoplastic pultrusion system known as the continuous forming machine (CFM) was compared to the mechanical performance of sim...
The Industry 4.0 research initiative strives to facilitate globally interconnected, flexible, and highly adaptable production systems. The use of skill-based control mechanisms such as OPC UA skills offers the prospect of a straightforward and flexib...
Rehabilitation exoskeletons require supervisory control that can preserve globally safe operating modes while executing local therapeutic behaviors reactively. Pure Finite-State Machine (FSM) implementations provide explicit mode supervision but beco...
A key factor influencing the effectiveness of a user interface is the usability resulting from its design, and the overall experience generated while using it, through any kind of device. The two main design trends that prevail in the field of user i...
We examine whether the novel systems programming language named Rust can be utilized alongside JavaScript in Node.js and Web-based applications development. The paper describes how JavaScript can be used as a high-level scripting language in combinat...
Polymer is an insulating substance that has become increasingly popular in recent years due to its benefits. Light density, superior dielectric and thermal properties, and water-resistant or hydrophobic properties are only a few of the benefits. The...
The assessment of attention in neuropsychological patients could be performed with visual search tests. The Broken Rings enVision Search test (BReViS) here proposed represents a novel open access paper-and-pencil tool in which layout and crowding are...
WebAssembly code is designed to run in a sandboxed environment, such as a web browser, providing a high level of security and isolation from the underlying operating system and hardware. This enables the execution of untrusted code in a web browser w...
Manual test case generation is an exhaustive and time-consuming process. However, automated test data generation may reduce the efforts and assist in creating an adequate test suite embracing predefined goals. The quality of a test suite depends on i...
Autonomous heavy machinery and mobile robots require accurate real-time angular state monitoring to ensure stability and prevent tip-over accidents. However, sensor mounting imperfections and operating on slopes can introduce cross-axis distortions i...
Digital markets increasingly coordinate prices, matches, orders, and allocations through automated systems whose decision–execution loops can close faster than humans can intervene. This article develops a microfounded framework in which latenc...
Background/Objectives: The number of people who practice gym activities is increasing. Most gym activities take place within a building, and the movements are controlled, making them closed-skill activities. This could decrease the processing speed c...
Background: Subthalamic nucleus (STN) deep brain stimulation (DBS) has become a routine treatment of advanced Parkinson’s disease (PD). DBS surgery is commonly performed under local anesthesia (LA) to obtain reliable microelectrode recordings. Howeve...
Additive manufacturing (AM) of scaffolds enables the fabrication of customized patient-specific implants for tissue regeneration. Scaffold customization does not involve only the macroscale shape of the final implant, but also their microscopic pore...
This study aimed to investigate the association between the alternative healthy eating index-2010 (AHEI-2010) with cognitive function and the mediating role of depressive symptoms in older adults using the data from the 2011–2014 National Healt...
Firmware vulnerabilities in embedded devices have caused serious security incidents, necessitating similarity analysis of binary program instruction embeddings to identify vulnerabilities. However, existing instruction embedding methods neglect progr...
This study presents the design and preliminary bench evaluation of a sensor-integrated prosthetic-leg prototype. The platform combines a multi-material PAHT-CF/TPU 95A foot, articulated knee and ankle mechanisms, two surface electromyography channels...
Consistent detection of malicious loaders across varied programming languages and build tools remains a significant cybersecurity challenge. This study empirically measures how compiler and language choices affect the detectability of standard in-mem...
Digital twins are becoming essential tools in smart, human-centric manufacturing, yet validated approaches that integrate real human behavior into digital twin models remain limited. This study develops and experimentally validates a digital twin as...
The appeal of combining polybenzimidazole (PBI) and graphene oxide (GO) for the manufacturing of membranes is increasingly growing, due to their versatility. Nevertheless, GO has always been used only as a filler in the PBI matrix. In such context, t...
The coupled effects of power distribution and stack temperature strongly influence hydrogen economy, durability, and operating stability in proton exchange membrane fuel cell (PEMFC) vehicles. This study proposes an integrated energy–thermal ma...
To address the energy management challenge for methanol range-extended series hybrid systems in port tugboats, characterized by highly transient and intermittent operations, this study proposes a real-time energy management strategy based on the Twin...
Multisource and multimodal data fusion plays a pivotal role in large-scale artificial intelligence applications involving big data. However, the choice of fusion strategies for different scenarios is often based on experimental comparisons, which lea...
Real-time grid monitoring of photovoltaic (PV) systems with battery storage requires continuous access to voltage, current, and power states. Traditional simulation models obtain these responses by calculating switching events, which limits the scale...
While AI is widely recognized as an industrial transformation catalyst, how AI translates into green innovation remains insufficiently understood. Drawing on socio-technical systems theory and upper echelons theory, this study investigates how AI ado...
Polyvinyl Alcohol (PVA) is frequently applied as a support material in 3D printing, especially in the crafting of intricate designs and projecting elements. It functions as a water-soluble filament, often paired with materials like ABS or PLA. PVA se...
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