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๐Ÿ” bogon ryu ๐Ÿ“‚ Engineering
Showing 116 results for "bogon ryu" in Engineering
Engineering Preprint PDF DOI

Scalable Multimodal Beam Alignment in V2X: An Anti-Imbalance Graph Learning Approach

Jiahui Liang, Shuoyao Wang, Shijian Gao ยท 2026

Efficient beam alignment is fundamental to high-throughput and reliable connectivity in Vehicle-to-Everything (V2X) systems. However, conventional beam management in dynamic vehicular topologies incurโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Thermal-Inertial Odometry on Embedded Hardware for High-Speed GPS-Denied Flight

Austin Stone, Mark Petersen, Cammy Peterson ยท 2026

We present a real-time monocular thermal-inertial odometry system designed for high-velocity, GPS-denied flight on embedded hardware. The system fuses measurements from a FLIR Boson+ 640 longwave infrโ€ฆ

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Engineering Preprint PDF DOI

NYUSIM: A Roadmap to AI-Enabled Statistical Channel Modeling and Simulation

Isha Jariwala, Xinquan Wang, Bridget Meier, Guanyue Qian, Dipankar Shakya, Mingjun Ying, Homa Nikbakht, Daniel Abraham, Theodore S. Rappaport ยท 2026

Integrating artificial intelligence (AI) into wireless channel modeling requires large, accurate, and physically consistent datasets derived from real measurements. Such datasets are essential for traโ€ฆ

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Engineering Preprint PDF DOI

Twenty-five years of J-DSP Online Labs for Signal Processing Classes and Workforce Development Programs

Andreas Spanias ยท 2026

This paper presents the history of the online simulation program Java-DSP (J-DSP) and the most recent function development and deployment. J-DSP was created to support online laboratories in DSP classโ€ฆ

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Engineering Preprint PDF DOI

Soft Computing Tools To Predict Varied Weight Components, Material and Tribological Properties of Al2219-B4C-Gr

Maitreyi Chatterjee, Biplab Chatterjee ยท 2025

Soft computing tools emerged as most reliable alternatives of traditional regression and statistical methods. In recent times, these tools can predict the optimum material compositions, mechanical andโ€ฆ

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Engineering Preprint PDF DOI

Z-Merge: Multi-Agent Reinforcement Learning for On-Ramp Merging with Zone-Specific V2X Traffic Information

Yassine Ibork, Myounggyu Won, Lokesh Das ยท 2025

Ramp merging is a critical and challenging task for autonomous vehicles (AVs), particularly in mixed traffic environments with human-driven vehicles (HVs). Existing approaches typically rely on eitherโ€ฆ

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Engineering Preprint PDF DOI

Thermal Analysis of 3D GPU-Memory Architectures with Boron Nitride Interposer

Eric Han Wang, Weijia Yan, Ruihong Huang ยท 2025

As artificial intelligence (AI) chips become more powerful, the thermal management capabilities of conventional silicon (Si) substrates become insufficient for 3D-stacked designs. This work integratesโ€ฆ

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Engineering Preprint PDF DOI

A Dynamic Watermarking Technique for Matching Communication Addresses with Cars in a Visual Field

Woo-Hyun Ko, Jaewon Kim, Tzu-Hsiang Lin, Samin Moosavi, P. R. Kumar ยท 2025

We consider a problem faced by an intelligent roadside unit (RSU) monitoring a roadway by a video camera. Suppose the RSU notices that a particular car in its visual field needs to execute a specific โ€ฆ

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Engineering Preprint PDF DOI

Four-Port Probe Stations and SOLR Calibration Standard Design up to 125 GHz on 28 nm CMOS

Dipankar Shakya, Theodore S. Rappaport, Ethan Shieh, Michael E. Knox, Hamed Rahmani, Davood Shahrjerdi, Mingjun Ying, Kimberley Fan, Matt Lu, Andrej Rumiantsev, Vince Mallette, Gavin Fisher, Giancarlo De Chirico, Pratik Ghate, Shean McMahon ยท 2025

This paper presents two innovative four-port probe stations developed by FormFactor Incorporated (FFI) and MPI Corporation (MPI), and a four-port calibration standard design up to 125 GHz for the probโ€ฆ

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Engineering Preprint PDF DOI

Standardized Machine-Readable Point-Data Format for Consolidating Wireless Propagation Across Environments, Frequencies, and Institutions

Dipankar Shakya, Naveed A. Abbasi, Mingjun Ying, Isha Jariwala, Jason J. Qin, Ishaan S. Gupte, Bridget Meier, Guanyue Qian, Daniel Abraham, Theodore S. Rappaport, Andreas F. Molisch ยท 2025

The necessity of new spectrum for 6G has intensified global interest in radio propagation measurements across emerging frequency bands, use cases, and antenna types. These measurements are vital for uโ€ฆ

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Engineering Preprint PDF DOI

RSU-Assisted Resource Allocation for Collaborative Perception

Guowei Liu, Le Liang, Chongtao Guo, Hao Ye, Shi Jin ยท 2025

As a pivotal technology for autonomous driving, collaborative perception enables vehicular agents to exchange perceptual data through vehicle-to-everything (V2X) communications, thereby enhancing percโ€ฆ

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Engineering Preprint PDF DOI

A Framework for Optimal Ankle Design of Humanoid Robots

Guglielmo Cervettini, Roberto Mauceri, Alex Coppola, Fabio Bergonti, Luca Fiorio, Marco Maggiali, Daniele Pucci ยท 2025

The design of the humanoid ankle is critical for safe and efficient ground interaction. Key factors such as mechanical compliance and motor mass distribution have driven the adoption of parallel mechaโ€ฆ

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Engineering Preprint PDF DOI

Digital Twin-based Cooperative Autonomous Driving in Smart Intersections: A Multi-Agent Reinforcement Learning Approach

Taoyuan Yu, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi, Walid Saad ยท 2025

Unsignalized intersections pose safety and efficiency challenges due to complex traffic flows and blind spots. In this paper, a digital twin (DT)-based cooperative driving system with roadside unit (Rโ€ฆ

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Engineering Preprint PDF DOI

Multi-Stage Location Optimization Through Power Delay Profile Alignment Using Site-Specific Wireless Ray Tracing

Mingjun Ying, Peijie Ma, Dipankar Shakya, Theodore S. Rappaport ยท 2025

Ray tracing (RT) simulations require accurate transmitter (TX) and receiver (RX) location information from real-world measurements to accurately characterize wireless propagation behavior in an enviroโ€ฆ

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Engineering Preprint PDF DOI

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks

Yinchao Yang, Zhaohui Yang, Chongwen Huang, Wei Xu, Zhaoyang Zhang, Dusit Niyato, Mohammad Shikh-Bahaei ยท 2025

This paper introduces a novel framework for integrated sensing, computing, and semantic communication (ISCSC) within vehicular networks comprising a roadside unit (RSU) and multiple autonomous vehicleโ€ฆ

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Engineering Preprint PDF DOI

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections

Taoyuan Yu, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi ยท 2025

Unsignalized intersections pose significant safety and efficiency challenges due to complex traffic flows. This paper proposes a novel roadside unit (RSU)-centric cooperative driving system leveragingโ€ฆ

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Engineering Preprint PDF DOI

Enhanced Cooperative Perception Through Asynchronous Vehicle to Infrastructure Framework with Delay Mitigation for Connected and Automated Vehicles

Nithish Kumar Saravanan, Varun Jammula, Yezhou Yang, Jeffrey Wishart, Junfeng Zhao ยท 2025

Perception is a key component of Automated vehicles (AVs). However, sensors mounted to the AVs often encounter blind spots due to obstructions from other vehicles, infrastructure, or objects in the suโ€ฆ

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Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation

Chuhan Wang, Zhenghao Chen, Jean Y. H. Yang, Jinman Kim ยท 2025

Automated lesion segmentation of medical images has made tremendous improvements in recent years due to deep learning advancements. However, accurately capturing fine-grained global and regional featuโ€ฆ

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Engineering Preprint PDF DOI

Upper Mid-Band Channel Measurements and Characterization at 6.75 GHz FR1(C) and 16.95 GHz FR3 in an Indoor Factory Scenario

Mingjun Ying, Dipankar Shakya, Theodore S. Rappaport, Peijie Ma, Yanbo Wang, Idris Al-Wazani, Yanze Wu, Hitesh Poddar ยท 2024

This paper presents detailed radio propagation measurements for an indoor factory (InF) environment at 6.75 GHz and 16.95 GHz using a 1 GHz bandwidth channel sounder. Conducted at the NYU MakerSpace iโ€ฆ

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Engineering Preprint PDF DOI

Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving

Kui Wang, Kazuma Nonomura, Zongdian Li, Tao Yu, Kei Sakaguchi, Omar Hashash, Walid Saad, Changyang She, Yonghui Li ยท 2024

Vehicle-road collaboration is a promising approach for enhancing the safety and efficiency of autonomous driving by extending the intelligence of onboard systems to smart roadside infrastructures. Theโ€ฆ

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