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Mingsong Hao, Chuntian Lu, Xi Zhou and Jing Xu
The degree of risk to which agricultural farmers are exposed during the COVID-19 pandemic and how they tackle those difficulties is a critical topic. Although the topic has been paid considerable attention by worldwide scholars, this study intends to com...
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Sumet Darapisut, Komate Amphawan, Nutthanon Leelathakul and Sunisa Rimcharoen
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user?s geographic location and contextual factors such as time, personal preference, and location categories. However, ...
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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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Izabela Kot, Magdalena Lisecka, Katarzyna Kmiec, Katarzyna Golan, Edyta Górska-Drabik, Tomasz Kiljanek, Beata Zimowska and Barbara Skwarylo-Bednarz
Plant species and abiotic factors including season appear to be the most important variables influencing the frequency of visits by honeybees (Apis mellifera L.). In the present study, we evaluated the activity of honeybee workers visiting runner bean (P...
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Weiying Wang and Toshihiro Osaragi
Human movements have raised broad attention, and many models have been developed to reproduce them. However, most studies focus on reproducing the statistical properties of human mobility, such as the travel distance and the visiting frequency. In this p...
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Hang Zhang, Mingxin Gan and Xi Sun
In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely ...
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Yudai Kato and Kayoko Yamamoto
The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system that can efficiently and usefully support tourists while considering their visiting frequencies. This system was developed by integrating social net...
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Naimat Ullah Khan, Wanggen Wan and Shui Yu
The aim of the current study is to analyze and extract the useful patterns from Location-Based Social Network (LBSN) data in Shanghai, China, using different temporal and spatial analysis techniques, along with specific check-in venue categories. This ar...
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Fabrice Giuliani, Markus Stütz, Nina Paulitsch and Lukas Andracher
A siren is a robust fast-valve that generates effective flow pulsations and powerful noise levels under well-controlled conditions. It operates under the inlet flow conditions of a gas turbine combustor. Its principle is based on a sonic air jet periodic...
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Liqiang Guan, Mingxia Zou, Xili Wan and Yifeng Li
This paper investigates the direction identification of micro-cracks with nonlinear components generated by Lamb wave with frequency-mixing technique. Three-dimensional finite element simulations were carried out to investigate the interaction mechanism ...
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