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Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ...
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Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
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Cláudia Rodrigues, Marco Veloso, Ana Alves and Carlos Bento
The COVID-19 pandemic affected many aspects of human mobility and resulted in unprecedented changes in population dynamics, including lifestyle and mobility. Recognizing the effects of the pandemic is crucial to understand changes and mitigate negative i...
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Iori Sasaki, Masatoshi Arikawa, Min Lu and Ryo Sato
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency...
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Eric Hsueh-Chan Lu and You-Ru Lin
With the rise in the Internet of Things (IOT), mobile devices and Location-Based Social Network (LBSN), abundant trajectory data have made research on location prediction more popular. The check-in data shared through LBSN hide information related to lif...
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Svetlana A. Krasnova, Julia G. Kokunko, Sergey A. Kochetkov and Victor A. Utkin
Planning an achievable trajectory for a mobile robot usually consists of two steps: (i) finding a path in the form of a sequence of discrete waypoints and (ii) transforming this sequence into a continuous and smooth curve. To solve the second problem, th...
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Junzhuo Li, Wenyong Li and Guan Lian
A low-cost, timely, and durable long-term approach to resident travel surveys is crucial for authorities to understand the city?s transportation systems and formulate transportation planning and management policies. This paper summarizes commonly used wi...
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Guanyao Li, Xingdong Deng, Jianmin Xu, Yang Liu, Ji Zhang, Simin Xiong and Feng Gao
With the rapid development of localization techniques and the prevalence of mobile devices, massive amounts of trajectory data have been generated, playing essential roles in areas of user analytics, smart transportation, and public safety. Measuring tra...
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Sai Huang, Yuqing Chai, Shanchuan Ying, Shuo Chang and Nan Xia
With the strengths of quickness, low cost, and adaptability, unmanned aerial vehicle (UAV) communication is widely utilized in the next-generation wireless network. However, some risks and hidden dangers such as UAV ?black flight? disturbances, attacks, ...
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Guangwen Song, Chunxia Zhang, Luzi Xiao, Zhuoting Wang, Jianguo Chen and Xu Zhang
The ambient population has been regarded as an important indicator for analyzing or predicting thefts. However, the literature has taken it as a homogenous group and seldom explored the varied impacts of different kinds of ambient populations on thefts. ...
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