1. Car pride and its bidirectional relations with car ownership: Case studies in New York City and Houston

    • Motivation: The car fulfills not only instrumental transportation functions, but also holds important symbolic and affective meaning for its owners and users.
    • Findings:
      • We find that car pride is higher in Houston than in New York City.
      • positive and statistically significant relations exist from car pride to car ownership

  2. Research joint ventures and technological proximity

    • Motivation: research joint ventures (RJV)
    • Research Gap: research joint ventures (RJV) in a setting where knowledge spillovers increase with the technological proximity between firms.
    • Findings:
      • RJVs do not generally outperform competitive research with respect to innovative output and social welfare;
      • technological proximity and the intensity of collaboration play a decisive role for the private and social benefits of a RJV;
      • joint research combined with complete knowledge sharing does not generally outperform less intensive collaboration forms.

  3. Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos

    • Motivation: Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos.
    • Research gaps:
      • detecting abnormalities in live videos is real-time detection of objects in a non-parametric way.
      • efficiently represent the state of objects temporally across frames.
    • Proposed method:
      • a Gibbs sampling-based heuristic model referred to as temporal unknown incremental clustering has been proposed to cluster pixels with motion.

  4. A novel classification method for paper-reviewer recommendation

    • Motivation: Reviewer recommendation
    • Research gap: many unsupervised recommendation methods have been researched to solve this task. not supervised method.
    • Proposed method: a novel classification method named Word Mover’s Distance–Constructive Covering Algorithm (WMD–CCA, for short)
      • First, the submission or the reviewer is represented as some vectors by a word embedding method
      • Second, the Word Mover’s Distance (WMD, for short) method is used to measure the minimum distances between submissions and reviewers.
      • finally, the reviewer recommendation task is transformed into a classification problem which is solved by a supervised learning method- Constructive Covering Algorithm (CCA, for short)

  5. Reliable and Secure Distributed Smart Road Pricing System for Smart Cities

    • Motivation: pay-as-you-drive services
    • Research gap: the road pricing systems need trip data to invoice citizens, it is vital to ensure geolocation privacy while keeping drivers honest.
    • Proposed method: security approach for smart road pricing systems, which prevents toll evasion violations.

  6. ASGR: An Artificial Spider-Web-Based Geographic Routing in Heterogeneous Vehicular Networks

    • Motivation: vehicular ad hoc networks (VANETs)
    • Research Gap: Due to high mobility and frequent link disconnections, it becomes quite challenging to establish a reliable route for delivering packets in VANETs.
    • Proposed method: an artificial spider geographic routing in urban VAENTs (ASGR)