Daqing Zhang

TL;DR: This paper proposes a new way to identify logical location using a GPS-enabled mobile phone and a wearable camera embedded in user's glasses, and uses Support Vector Machine to classify the two cases so that only the valid logical location is identified.

TL;DR: Evaluation results using real-world datasets from Hong Kong and Singapore show that the proposed approach to estimation of port container throughput not only estimates the container throughput quite accurately, but also outperforms the baseline method significantly.

TL;DR: A generic Fresnel Penetration Model (FPM) based real-time device-free localization system called MFDL, using only three to four commodity Wi-Fi devices, can localize a metal plate reflector with 6cm median error in the open space andLocalize a moving person with 45cm medianerror in an outdoor space of 36m2.

TL;DR: This paper proposes to upload data at WiFi Ready Conditions (WRCs), when the WiFi network is connected, no front-end applications are using it, and intelligently selects optimal WRCs to minimize the overall energy consumption.

TL;DR: CrowdExpress as mentioned in this paper proposes a probabilistic framework containing two phases called CrowdExpress for the on-time package express deliveries in the first phase, mine the historical taxi GPS trajectory data offline to build the package transport network In the second phase, develop an online adaptive taxi scheduling algorithm to find the path with the maximum arriving-on-time probability "on-the-fly" upon real-time requests, and direct the package routing accordingly Finally, evaluate the system using the real-world taxi data generated by over 19,000 taxis in a month in the city of New York,