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๐Ÿ” dongjun park ๐Ÿ“‚ Engineering
Showing 3888 results for "dongjun park" in Engineering
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 ยท 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 oโ€ฆ

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Engineering Preprint PDF DOI

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

Akshay Karjol, Shadi Alawneh ยท 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 Noโ€ฆ

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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 ยท 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 labelโ€ฆ

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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 ยท 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. Thโ€ฆ

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Engineering Preprint PDF DOI

Interval Observer Design Using Observability Decomposition for Detectable Linear Systems

Gia Quoc Bao Tran, Thach Ngoc Dinh, Zhenhua Wang ยท 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 invโ€ฆ

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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 ยท 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 orienโ€ฆ

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Engineering Preprint PDF DOI

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

Mohammadreza Kamaldar ยท 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 โ€ฆ

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Engineering Preprint PDF DOI

An Algebraic State Observer for a Class of Physical Systems

Alexey Bobtsov, Jose Guadalupe Romero, Romeo Ortega, Anton Pyrkin ยท 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 tโ€ฆ

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Self-Noise Reduction for Capacitive Sensors via Photoelectric DC Servo: Application to Condenser Microphones

Hirotaka Obo, Atsushi Tsuchiya, Tadashi Ebihara, Naoto Wakatsuki ยท 2026

The self-noise of capacitive sensors, primarily caused by thermal noise from the gate-bias resistor in the preamplifier, imposes a fundamental limit on measurement sensitivity. In electret condenser mโ€ฆ

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Novel Algorithms for Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Construction

Onur Beker, Andreas Rene Geist, Anselm Paulus, Georg Martius ยท 2026

Generating intelligent robot behavior in contact-rich settings is a research problem where zeroth-order methods currently prevail. Developing methods that make use of first/second order information abโ€ฆ

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System representations in subspaces of finite-sample signals and their application to data-driven fault detection

Linlin Li, Steven X. Ding, Jiahao Wang, Maiying Zhong, Wei Cheng ยท 2026

This paper deals with system representations in finite-sample signal subspaces and their application to data-driven fault detection. The first part addresses concepts of finite-sample image and kernelโ€ฆ

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Engineering Preprint PDF DOI

Think before Go: Hierarchical Reasoning for Image-goal Navigation

Pengna Li, Kangyi Wu, Shaoqing Xu, Fang Li, Lin Zhao, Long Chen, Zhi-Xin Yang, Nanning Zheng ยท 2026

Image-goal navigation steers an agent to a target location specified by an image in unseen environments. Existing methods primarily handle this task by learning an end-to-end navigation policy, which โ€ฆ

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A numerical approach to the co-design of PID controllers and low-pass filters for time-delay systems

Diego Torres-Garcia, Wim Michiels ยท 2026

This paper addresses the numerical optimization of proportional-integral-derivative (PID) controllers for linear time-invariant systems with delays, where the derivative action is implemented using a โ€ฆ

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Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset

Prabin Bohara, Pralhad Kumar Shrestha, Arpan Rai, Usha Poudel Lamgade, Confidence Raymond, Dong Zhang, Aondona Lorumbu, Craig Jones, Mahesh Shakya, Bishesh Khanal, Pratibha Kulung ยท 2026

Accurate automatic brain tumor segmentation in Low and Middle-Income (LMIC) countries is challenging due to the lack of defined national imaging protocols, diverse imaging data, extensive use of low-fโ€ฆ

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Verification of Autonomous Systems with Optimal Controllers

Dylan Le, Joel McCandless, Carlos Varela, Radoslav Ivanov ยท 2026

This paper considers the problem of reachability analysis of control systems with optimal controllers, as a first step towards verifying the safety and correctness of such systems. Despite their appeaโ€ฆ

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One-Shot Cross-Geometry Skill Transfer through Part Decomposition

Skye Thompson, Ondrej Biza, George Konidaris ยท 2026

Given a demonstration, a robot should be able to generalize a skill to any object it encounters-but existing approaches to skill transfer often fail to adapt to objects with unfamiliar shapes. Motivatโ€ฆ

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NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning

Hibatallah Meliani, Khadija Slimani, Samira Khoulji ยท 2026

To navigate a space, the brain makes an internal representation of the environment using different cells such as place cells, grid cells, head direction cells, border cells, and speed cells. All theseโ€ฆ

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Fluid Antennas Meet Rate-Splitting Multiple Access: A New Path Forward for 6G Networks

Jinyuan Liu, Yong Liang Guan, Hong Niu, Qian Zhang, Merouane Debbah, Hyundong Shin, Bruno Clerckx ยท 2026

Future sixth-generation (6G) networks require high spectral efficiency (SE), massive connectivity, and stringent reliability under imperfect channel state information at the transmitter. Rate-splittinโ€ฆ

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A Study on the Controllability of Lithium-Ion Batteries

Preston T. Abadie, Donald J. Docimo ยท 2026

This work explores controllability and the control effort required for lithium-ion batteries. Battery packs have become a critical technology in both personal and professional applications as a means โ€ฆ

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To Learn or Not to Learn: A Litmus Test for Using Reinforcement Learning in Control

Victor Schulte, Michael Eichelbeck, Matthias Althoff ยท 2026

Reinforcement learning (RL) can be a powerful alternative to classical control methods when standard model-based control is insufficient, e.g., when deriving a suitable model is intractable or impossiโ€ฆ

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