Academic Articles & Research Papers

Design, analysis, and experimental research on installation robot for hanging column

Abstract To address the challenges of labor-intensive operations, high safety risks, and low operational efficiency in the installation of hanging columns within tunnels, we propose a robotics-based mechanized and automated solution. First,...

Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries

The accurate real-time estimation of the remaining useful life (RUL) of lithium-polymer (LiPo) batteries is a critical enabler for ensuring the safety, reliability, and operational efficiency of unmanned aerial vehicles (UAVs). Nevertheless...

Multisensor Fire Detection System Mobile Robot as a Learning Media in Firefighting Robotic Course

Firefighting Robotic technology has been used for a long time to achieve aviation safety and security goals. The research is deemed necessary because of some related issues: 1) A pressing need for lecturers and students to have access to le...

VR-Based Teleoperation Framework: Integration of Haptic Feedback and Singularity Management

This study presents a VR-based teleoperation framework enhancing collaborative robot stability and manipulability via hand-tracking, adaptive control, and dual-modality haptic feedback. It addresses critical synchronization challenges (sing...

Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera

Previous research reported catheter pose-dependent virtual angioscopy images for endovascular aortic repair (EVAR) (phantom studies) without any validation with video images. The goal of our study focused on conducting this validation using...

Multidirectional Cylindrical Piezoelectric Force Sensor: Design and Experimental Validation

A common design concept of the piezoelectric force sensor, which is to assemble a bump structure from a flat or fine columnar piezoelectric structure or to use a specific type of electrode, is quite limited. In this paper, we propose a new ...

Quantum-Resistant Security Technologies for Resource-Constrained Edge Devices: Challenges and Lightweight Countermeasures

With the rapid advancement of quantum computing technology, IoT edge devices widely deployed in industrial settings are facing severe threats to their quantum-resistant security. This work focuses on the challenges of adapting Quantum Key D...

Full Software Control on MZI-Based Photonic Integrated Circuit

A software platform for quantum computing is required to run a complex algorithm on a real quantum device through automatically converting a quantum circuit level algorithm to a control sequence of target device. Moreover, the software plat...

Quantum Software Size: What Do We Measure, How and Why? A Systematic Literature Review

Rapid growth in quantum computing has created an urgent need to adapt traditional software engineering methodologies. Among these methodological challenges, software size measurement plays a central role in project estimation, quality assur...

Continuous monitoring biosensors for advanced healthcare and environmental applications: challenges, material innovations and future directions

This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...

Developing a Self-Reflection Tool to Assess Schools’ Openness

In 2015, the EU Educational Policy document “Science Education for Responsible Citizenship” introduced the concept of Open Schooling as a promising approach to transform schools into innovation hubs within their local communities. In an ope...

Human behaviour as an aspect of cybersecurity assurance

Abstract There continue to be numerous breaches publicised pertaining to cybersecurity despite security practices being applied within industry for many years. This paper is intended to be the first in a number of papers as research into cy...

Neural Network Methods for Natural Language Processing

Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...

Value-based software engineering

Much of current software engineering practice and research is done in a value-neutral setting, in which every requirement, use case, object, and defect is treated as equally important; methods are presented and practiced as largely logical ...

Vlad - Virtual Reality Application for Treatment of Psychosomatic Conditions: A report at final stage of software validation process

The present work aims to demonstrate that Virtual Reality (VR) can investigate several pathologies, in this case the treatment of all phenomena which interrupt the relationship between cognition and representation, such as defences in psych...

Factors associated with postoperative ileus after laparoscopic radical resection for colorectal cancer and development and internal validation of a postoperative risk-stratification nomogram.

Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data

Introduction Perinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to...

Development and validation of an online dynamic nomogram based on the atherogenic index of plasma to screen nonalcoholic fatty liver disease

Abstract Background Nonalcoholic fatty liver disease (NAFLD), a common liver disease worldwide, can be reversed early in life with lifestyle and medical interventions. This study aimed to develop a noninvasive tool to screen NAFLD accuratel...

A Heuristic Home Electric Energy Management System Considering Renewable Energy Availability

This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...

High-Performance Tuning for Model Predictive Control for a Renewable Energy Grid-Interface Converter With LCL Filter

Model predictive control (MPC) has emerged as a highly regarded control strategy in power electronics for renewable energy applications. While it minimizes tracking errors and control effort, a significant challenge is the lack of systemati...