Zobrazeno 1 - 10
of 2 781
pro vyhledávání: '"Zussman, A"'
Autor:
Pargoo, Navid Salami, Ghasemi, Mahshid, Xia, Shuren, Turkcan, Mehmet Kerem, Ehsan, Taqiya, Zang, Chengbo, Sun, Yuan, Ghaderi, Javad, Zussman, Gil, Kostic, Zoran, Ortiz, Jorge
As urban populations grow, cities are becoming more complex, driving the deployment of interconnected sensing systems to realize the vision of smart cities. These systems aim to improve safety, mobility, and quality of life through applications that
Externí odkaz:
http://arxiv.org/abs/2411.19714
Autor:
Turkcan, Mehmet Kerem, Li, Yuyang, Zang, Chengbo, Ghaderi, Javad, Zussman, Gil, Kostic, Zoran
We introduce Boundless, a photo-realistic synthetic data generation system for enabling highly accurate object detection in dense urban streetscapes. Boundless can replace massive real-world data collection and manual ground-truth object annotation (
Externí odkaz:
http://arxiv.org/abs/2409.03022
We present a novel data-driven simulation environment for modeling traffic in metropolitan street intersections. Using real-world tracking data collected over an extended period of time, we train trajectory forecasting models to learn agent interacti
Externí odkaz:
http://arxiv.org/abs/2408.00943
Autor:
Turkcan, Mehmet Kerem, Narasimhan, Sanjeev, Zang, Chengbo, Je, Gyung Hyun, Yu, Bo, Ghasemi, Mahshid, Ghaderi, Javad, Zussman, Gil, Kostic, Zoran
We introduce Constellation, a dataset of 13K images suitable for research on detection of objects in dense urban streetscapes observed from high-elevation cameras, collected for a variety of temporal conditions. The dataset addresses the need for cur
Externí odkaz:
http://arxiv.org/abs/2404.16944
Autor:
Dzaferagic, Merim, Ruffini, Marco, Slamnik-Krijestorac, Nina, Santos, Joao F., Marquez-Barja, Johann, Tranoris, Christos, Denazis, Spyros, Kyriakakis, Thomas, Karafotis, Panagiotis, DaSilva, Luiz, Pandey, Shashi Raj, Shiraishi, Junya, Popovski, Petar, Jensen, Soren Kejser, Thomsen, Christian, Pedersen, Torben Bach, Claussen, Holger, Du, Jinfeng, Zussman, Gil, Chen, Tingjun, Chen, Yiran, Tirupathi, Seshu, Seskar, Ivan, Kilper, Daniel
Multiple visions of 6G networks elicit Artificial Intelligence (AI) as a central, native element. When 6G systems are deployed at a large scale, end-to-end AI-based solutions will necessarily have to encompass both the radio and the fiber-optical dom
Externí odkaz:
http://arxiv.org/abs/2407.01544
Autor:
Kohli, Manav, Dastjerdi, Mahmood Baraani, Zhou, Jin, Seskar, Ivan, Krishnaswamy, Harish, Zussman, Gil, Chen, Tingjun
Full-duplex (FD) wireless can significantly enhance spectrum efficiency but requires effective self-interference (SI) cancellers. RF SI cancellation (SIC) via frequency-domain equalization (FDE), where bandpass filters channelize the SI, is suited fo
Externí odkaz:
http://arxiv.org/abs/2401.17751
Autor:
Chizhik, Dmitry, Du, Jinfeng, Sapis, Jakub, Valenzuela, Reinaldo A., Adhikari, Abhishek, Zussman, Gil, Almendra, Manuel A., Rodriguez, Mauricio, Feick, Rodolfo
A statistical backscatter channel model for indoor clutter is developed for indoor RF sensing applications based on measurements. A narrowband 28 GHz sounder used a quazi-monostatic radar arrangement with an omnidirectional transmit antenna illuminat
Externí odkaz:
http://arxiv.org/abs/2401.15206
Autor:
Zarkadas, Ioannis, Zussman, Tal, Carin, Jeremy, Jiang, Sheng, Zhong, Yuhong, Pfefferle, Jonas, Franke, Hubertus, Yang, Junfeng, Kaffes, Kostis, Stutsman, Ryan, Cidon, Asaf
Storage disaggregation, wherein storage is accessed over the network, is popular because it allows applications to independently scale storage capacity and bandwidth based on dynamic application demand. However, the added network processing introduce
Externí odkaz:
http://arxiv.org/abs/2312.06808
Autor:
Jain, Gaurav, Hindi, Basel, Zhang, Zihao, Srinivasula, Koushik, Xie, Mingyu, Ghasemi, Mahshid, Weiner, Daniel, Paris, Sophie Ana, Xu, Xin Yi Therese, Malcolm, Michael, Turkcan, Mehmet, Ghaderi, Javad, Kostic, Zoran, Zussman, Gil, Smith, Brian A.
Blind and low-vision (BLV) people rely on GPS-based systems for outdoor navigation. GPS's inaccuracy, however, causes them to veer off track, run into obstacles, and struggle to reach precise destinations. While prior work has made precise navigation
Externí odkaz:
http://arxiv.org/abs/2310.00491
Autor:
Nishizawa, Hideki, Mano, Toru, De Lima, Thomas Ferreira, Huang, Yue-Kai, Wang, Zehao, Ishida, Wataru, Kawashima, Masahisa, Ip, Ezra, D'Amico, Andrea, Okamoto, Seiji, Inoue, Takeru, Anazawa, Kazuya, Curri, Vittorio, Zussman, Gil, Kilper, Daniel, Chen, Tingjun, Wang, Ting, Asahi, Koji, Takasugi, Koichi
We propose an approach to estimate the end-to-end GSNR accurately in a short time when a data center interconnect (DCI) network operator receives a service request from users, not by measuring the GSNR at the operational route and wavelength for the
Externí odkaz:
http://arxiv.org/abs/2309.07359