Expertini Research Research

Browse Research Papers

6,098+ open-access research outputs.

✕ Clear
🔍 daniel k. park 📂 Engineering
Showing 6098 results for "daniel k. park" in Engineering
Engineering Preprint PDF DOI

Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao · 2026

This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The de…

Read Paper →
Engineering Preprint PDF DOI

A Knowledge-Driven Approach to Target Speech Extraction in the Presence of Background Sound Effects for Cinematic Audio Source Separation (CASS)

Chun-wei Ho, Sabato Marco Siniscalchi, Kai Li, Chin-Hui Lee · 2026

We propose a knowledge-driven approach to speech target extraction in the presence of background sound effects already recorded in cinematic audio. The specific knowledge sources studied are manners o…

Read Paper →
Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh · 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS No…

Read Paper →
Engineering Preprint PDF DOI

FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse · 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic label…

Read Paper →
Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford · 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying dist…

Read Paper →
Engineering Preprint PDF DOI

FlowS: One-Step Motion Prediction via Local Transport Conditioning

Leandro Di Bella, Adrian Munteanu, Bruno Cornelis · 2026

Generative motion prediction must satisfy three simultaneous requirements for real-world autonomy: high accuracy, diverse multimodal futures, and strictly bounded latency. Diffusion models meet the fi…

Read Paper →
Engineering Preprint PDF DOI

SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission

Ce Zheng, Xinghan Wang, Jiahong Ning, Yuxuan Shi, Ning Huang, Tingting Yang · 2026

Federated inference enhances LLM performance in edge computing through weighted averaging of distributed model predictions. However, autoregressive LLM inference requires frequent full-model forward p…

Read Paper →
Engineering Preprint PDF DOI

Complex-Vector Power and Cross-Phase Unbalance in Three-Phase Systems

Juan Carlos Bravo-Rodriguez, Juan Carlos del-Pino-Lopez, Francisco Casado-Machado · 2026

Unbalanced three-phase systems still lack a compact phasor-domain representation of power that makes phase asymmetry explicit while remaining consistent with established apparent-power definitions. Th…

Read Paper →
Engineering Preprint PDF DOI

Optimal UGV-UAV Cooperative Partitioning and Inspection of Shortest Paths

Ninh Nguyen, Srinivas Akella · 2026

We study cooperative shortest path planning for an unmanned ground vehicle (UGV) assisted by an unmanned aerial vehicle (UAV) in environments with unknown road blockages that are only discovered when …

Read Paper →
Engineering Preprint PDF DOI

Interval Observer Design Using Observability Decomposition for Detectable Linear Systems

Gia Quoc Bao Tran, Thach Ngoc Dinh, Zhenhua Wang · 2026

We provide a systematic interval observer design method for detectable linear time-invariant (LTI) systems, where a part of the state is observable from the measured output. An observability-based inv…

Read Paper →
Engineering Preprint PDF DOI

Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System

Xincheng Cao, Haochong Chen, Bilin Aksun-Guvenc, Levent Guvenc, Brian Link, Peter J Richmond, Dokyung Yim, Shihong Fan, John Harber · 2026

Reverse parking maneuvering of a vehicle with trailer system is a difficult task to complete for human drivers due to the multi-body nature of the system and the unintuitive controls required to orien…

Read Paper →
Engineering Preprint PDF DOI

Assessing the dynamic response of long-span bridges under simultaneous wind and traffic loads

Gledson Rodrigo Tondo, Guido Morgenthal · 2026

Wind-traffic interactions strongly influence the dynamic response of long-span bridges, yet loads are often analysed independently. This work models concurrent wind and traffic and demonstrates that i…

Read Paper →
Engineering Preprint PDF DOI

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar · 2026

Deploying neural-network control barrier functions (CBFs) on embedded hardware requires evaluating the barrier value and its Lie derivatives along the system vector fields at every control cycle. The …

Read Paper →
Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley · 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to st…

Read Paper →
Engineering Preprint PDF DOI

Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network

Boxiang Wang, Zhengding Luo, Dongyuan Shi, Junwei Ji, Xiruo Su, Woon-Seng Gan · 2026

Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter based on the Direction-…

Read Paper →
Engineering Preprint PDF DOI

An Algebraic State Observer for a Class of Physical Systems

Alexey Bobtsov, Jose Guadalupe Romero, Romeo Ortega, Anton Pyrkin · 2026

In this paper we present a radically new approach to design state observers for nonlinear systems, with particular emphasis on physical ones. Our objective is to obtain an algebraic relation between t…

Read Paper →
Engineering Preprint PDF DOI

Magnetic Indoor Localization through CNN Regression and Rotation Invariance

Helge Rose, Konstantin Klipp, Tom Koubek, Bernd Schaufele, Ilja Radusch · 2026

Indoor positioning is an essential technology for a wide range of applications in GNSS-denied environments, including indoor navigation and IoT systems. Combining convolutional neural networks (CNNs) …

Read Paper →
Engineering Preprint PDF DOI

Control of Multi-agent Systems under STL Specifications based on Prescribed Performance Observers

Tommaso Zaccherini, Siyuan Liu, Dimos V. Dimarogonas · 2026

This paper addresses decentralized control of large-scale heterogeneous multi-agent systems subject to bounded external disturbances and limited communication, with the objective of satisfying coopera…

Read Paper →
Engineering Preprint PDF DOI

Analytical PI Tuning for Second-Order Plants with Monotonic Response and Minimum Settling Time

Senol Gulgonul · 2026

Background: Tuning proportional-integral (PI) controllers for second-order plants to achieve monotonic step response with minimum settling time is an important problem in analytical control design. Ex…

Read Paper →
Engineering Preprint PDF DOI

Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility

Mads R. Almassalkhi, Dakota Hamilton, Hasan Giray Oral, Yury Dvorkin, Dennice Gayme, Bri-Mathias Hodge, Brian Vad Mathiesen, Jakob Stoustrup, Tobias Ritschel, Rune G. Junker, Shahab Tohidi, Razgar Ebrahimy, Henrik Madsen · 2026

Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-level flexibility ac…

Read Paper →
Page 1 of 305 Next →