conference paper
Dynamic demand input preparation for 526 microscopic traffic simulation analysis under planning applications
88th 527 TRB meeting, washington DC
Publication Date
January 1, 2009
Area of Expertise: Unspecified
conference paper
Polarization mode dispersion-based physical layer key generation for optical fiber link security
Advanced photonics 2017 (IPR, NOMA, sensors, networks, SPPCom, PS)
Publication Date
January 1, 2017
Author(s)
Imam Uz Zaman, Anthony Bahadir Lopez, Mohammad Al Faruque, Ozdal Boyraz
Suggested Citation
Imam Uz Zaman, Anthony Bahadir Lopez, Mohammad Abdullah Al Faruque and Ozdal Boyraz (2017) “Polarization mode dispersion-based physical layer key generation for optical fiber link security”, in Advanced photonics 2017 (IPR, NOMA, sensors, networks, SPPCom, PS). OSA. Available at: 10.1364/iprsn.2017.jtu4a.20. conference paper
Real-time origin-destination (OD) estimation via anonymous vehicle tracking
Proceedings. The IEEE 5th international conference on intelligent transportation systems
Publication Date
January 1, 2002
Author(s)
Suggested Citation
Cheol Oh, S.G. Ritchie, Jun-Seok Oh and R. Jayakrishnan (2002) “Real-time origin-destination (OD) estimation via anonymous vehicle tracking”, in Proceedings. The IEEE 5th international conference on intelligent transportation systems. IEEE, pp. 582–586. Available at: 10.1109/itsc.2002.1041283. conference paper
WIP: An Adaptive High Frequency Removal Attack to Bypass Pulse Fingerprinting in New-Gen LiDARs
Symposium on Vehicles Security and Privacy (VehicleSec) 2024 26 February 2024, San Diego, CA, USA
Publication Date
January 1, 2024
Author(s)
Yuki Hayakawa, Takami Sato, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Qi Alfred Chen, Kentaro Yoshioka
Suggested Citation
Yuki Hayakawa, Takami Sato, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Qi Alfred Chen and Kentaro Yoshioka (2024) “WIP: An Adaptive High Frequency Removal Attack to Bypass Pulse Fingerprinting in New-Gen LiDARs”. VehicleSec. Available at: https://www.ndss-symposium.org/wp-content/uploads/vehiclesec2024-22-paper.pdf (Accessed: September 13, 2024).
published journal article
A New Spatial Hedonic Equilibrium in the Emerging Work-from-Home Economy?
American Economic Journal: Applied Economics
Publication Date
April 1, 2023
Author(s)
Jan Brueckner, Matthew E. Kahn, Gary C. Lin
Abstract
This paper studies the impacts of work from home (WFH) in the housing market from both intercity and intracity perspectives. Our results confirm the theoretical prediction that WFH puts downward pressure on housing prices and rents in high-productivity counties, a result of workers starting to relocate to cheaper metro areas during the pandemic without forsaking their desirable jobs. We also show that WFH tends to flatten intracity house-price gradients, weakening the price premium associated with good job access. (JEL J24, J31, J61, R21, R23, R31)
Suggested Citation
Jan K. Brueckner, Matthew E. Kahn and Gary C. Lin (2023) “A New Spatial Hedonic Equilibrium in the Emerging Work-from-Home Economy?”, American Economic Journal: Applied Economics, 15(2), pp. 285–319. Available at: 10.1257/app.20210190. published journal article
A kinematic wave theory of multi-commodity network traffic flow
Transportation Research Part B: Methodological
Publication Date
September 1, 2012
Author(s)
Suggested Citation
Wen-Long Jin (2012) “A kinematic wave theory of multi-commodity network traffic flow”, Transportation Research Part B: Methodological, 46(8), pp. 1000–1022. Available at: 10.1016/j.trb.2012.02.009. Phd Dissertation
Stochastic estimation of lane-changing probabilities and its application to incident detection
Publication Date
June 30, 1997
Author(s)
Suggested Citation
Jiuh-Biing Sheu (1997) Stochastic estimation of lane-changing probabilities and its application to incident detection. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991020022359704701. conference paper
WIP: Practical Removal Attacks on LiDAR-based Object Detection in Autonomous Driving
ISOC Symposium on Vehicle Security and Privacy (VehicleSec)
Publication Date
January 1, 2023
Author(s)
Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen
Abstract
LiDAR (Light Detection And Ranging) is an indispensable sensor for precise long- and wide-range 3D sensing, which directly benefited the recent rapid deployment of autonomous driving (AD). Meanwhile, such a safety-critical application strongly motivates its security research. A recent line of research demonstrates that one can manipulate the LiDAR point cloud and fool object detection by firing malicious lasers against LiDAR. However, these efforts evaluate only a specific LiDAR (VLP-16) and do not consider the state-of-the-art defense mechanisms in the recent LiDARs, so-called next-generation LiDARs. In this WIP work, we report our recent progress in the security analysis of the next-generation LiDARs. We identify a new type of LiDAR spoofing attack applicable to a much more general and recent set of LiDARs. We find that our attack can remove >72% of points in a 10×10 m2 area and can remove real vehicles in the physical world. We also discuss our future plans.
Suggested Citation
Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka and Qi Alfred Chen (2023) “WIP: Practical Removal Attacks on LiDAR-based Object Detection in Autonomous Driving”, in ISOC Symposium on Vehicle Security and Privacy (VehicleSec). Available at: https://par.nsf.gov/biblio/10427123-wip-practical-removal-attacks-lidar-based-object-detection-autonomous-driving (Accessed: September 13, 2024). conference paper
Energy management as a service over fog computing platform
Proceedings of the ACM/IEEE sixth international conference on cyber-physical systems - ICCPS '15
Publication Date
January 1, 2015
Author(s)
Korosh Vatanparvar, Mohammad Al Faruque
Suggested Citation
Korosh Vatanparvar and Mohammad Abdullah Al Faruque (2015) “Energy management as a service over fog computing platform”, in Proceedings of the ACM/IEEE sixth international conference on cyber-physical systems - ICCPS '15. ACM Press, pp. 248–249. Available at: 10.1145/2735960.2735986. published journal article
Association of Postpartum Temperature Exposure and Postpartum Depression
ISEE Conference Abstracts
Publication Date
August 15, 2024
Author(s)
Yi Sun, Kathryne S. Headon, Wajeeha Umer, Anqi Jiao, Jeff M. Slezak, Chantal C. Avila, Vicki Y. Chiu, David A. Sacks, John Molitor, Tarik Benmarhnia, Jiu Chiuan Chen, Darios Getahun, Jun Wu
Abstract
BACKGROUND AND AIM[|]Women are more prone to mental health problems at postpartum because of biological, emotional, and social changes during this period. Evidence regarding the effect of temperature on postpartum depression (PPD) is extremely limited. We aimed to examine the associations between postpartum temperature exposure and PPD.[¤]METHOD[|]We conducted a retrospective cohort study using data from Kaiser Permanente Southern California electronic health records from 01/01/2008 through 12/31/2018. PPD was first assessed using the Edinburgh Postnatal Depression Scale (score≥10) during the first year of the postpartum period, and further identified by using both diagnostic codes and prescription medications. Historical daily ambient temperatures were obtained from the 4-km resolution gridMET dataset, and linked to participants’ residential addresses at delivery. Postpartum temperature exposures were measured by calculating various temperatures metrics during the period from delivery to PPD diagnosis date. A time-to-event approach with a discrete-time logistic regression was applied to estimate the association between temperature and time to PPD. Effect modification by maternal characteristics and other environmental factors was examined.[¤]RESULTS[|]There were 46,114 (10.73%) PPD cases among 429,839 pregnancies. Increased PPD risks were positively associated with exposure to higher mean temperature (adjusted odds ratio [aOR] per interquartile range increment: 1.07, 95% confidence interval [CI]: 1.05-1.09) and diurnal temperature range (aOR=1.08, 95%CI: 1.06-1.10); the associations were stronger for maximum temperature compared to minimum temperature. African American, Asian, or Hispanic mothers, and mothers ≥25 years of age were more susceptible to temperature-related PPD risk compared to their counterparts. We also observed higher effect of temperature on PPD among mothers exposed to higher air pollution levels or with lower air conditioning penetration rates.[¤]CONCLUSIONS[|]Maternal exposure to higher temperature and diurnal temperature variation during the postpartum period was associated with an increased risk of PPD. Effect modification by maternal age, race/ethnicity, air pollution and air conditioning penetration was identified.[¤]