Recent (2018-21)

2021

  1. Zhang, Guangyuan, Stefan Poslad, Xiaoping Rui, Guangxia Yu, Yonglei Fan, Xianfeng Song, and Runkui Li. “Using an Internet of Behaviours to Study How Air Pollution Can Affect People’s Activities of Daily Living: A Case Study of Beijing, China.” Sensors 21, no. 16 (2021): 5569.

  2. Xing, Weipeng, Guangyuan Zhang, and Stefan Poslad. “Estimation of global horizontal irradiance in China using a deep learning method.” International Journal of Remote Sensing 42, no. 10 (2021): 3899-3917.

  3. Fan, Yonglei, Xiaoping Rui, Guangyuan Zhang, Tian Yu, Xijie Xu, and Stefan Poslad. “Feature Merged Network for Oil Spill Detection using SAR Images.” Remote Sensing 13, no. 16 (2021): 3174.

2020

  1. X. Zhang, C. Liu, K.K. Chai, S. Poslad, “A privacy-preserving consensus mechanism for an electric vehicle charging scheme“, Journal of Network and Computer Applications, vol. 174, pp. 102908, 2020.

  2. F. Palermo, J. Konstantinova, K. Althoefer, S. Poslad and I. Farkhatdinov, “Implementing Tactile and Proximity Sensing for Crack Detection,” 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 632-637.

  3. R. Kim, S. Thomas, R. van. Dierendonck, C. Wood and S. Poslad, “Toward growable computer games: insights from biotic game ideation workshops,” Interactions, vol. 27, no. 2, pp. 82-85, 2020.

  4. F. Luo, S. Poslad and E. Bodanese, “Temporal Convolutional Networks for Multiperson Activity Recognition Using a 2-D LIDAR,” IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7432-7442, 2020.

  5. C. MA, B. Wu, S. Poslad and D. R. Selviah, “Wi-Fi RTT Ranging Performance Characterization and Positioning System Design,” IEEE Transactions on Mobile Computing, 2020.

  6. X. Zhang, C. Liu, K.K. Chai and S. Poslad, “A Challenge-Response Assisted Authorisation Scheme for Data Access in Permissioned Blockchains,” Sensors, vol. 20, no. 17, 4681, 2020.

  7. G. Zhang, H. Lu, J. Dong, S. Poslad, R. Li, X. Zhang and X. Rui, “A Framework to Predict High-Resolution Spatiotemporal PM2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China,” Remote Sensing, vol. 12 no. 17, 2825, 2020.

  8. G. Zhang, X. Rui, S. Poslad, X. Song, Y. Fan, B. Wu, “A Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records,” Remote Sensing, vol. 12, no. 16, 2572, 2020.

2019

  1. R. Massoud, F. Bellotti, R. Berta, A. De Gloria and S. Poslad, “Eco-driving Profiling and Behavioral Shifts Using IoT Vehicular Sensors Combined with Serious Games,” 2019 IEEE Conference on Games (CoG), London, United Kingdom, 2019, pp. 1-8.
  2. R. Massoud, F. Bellotti, S. Poslad, R. Berta and A. D. Gloria, “Towards a Reality-Enhanced Serious Game to Promote Eco-Driving in the Wild,” 2019 International Conference on Games and Learning Alliance (GALA), Athens, Greece, 2019, pp. 245-255.
  3. Omarali B, Palermo F, Valle M, Poslad S, Althoefer K and Farkhatdinov I, “Position and Velocity Control for Telemanipulation with Interoperability Protocol,” 20th Annual Conference Towards Autonomous Robotic Systems (TAROS) Conference, London, United Kingdom, 2019, pp. 316-324.

  4. F. Luo, E. Bodanese and S. Poslad, “Human Activity Detection and Coarse-Localization Outdoors Using Micro-Doppler Signatures,” IEEE Sensors Journal, vol. 19, no. 18, pp. 8079-8094, 2019.

  5. G. Zhang, X. Rui and S. Poslad, X. Song, Y. Fan and Z. Ma, “Large-scale, Fine-grained, Spatial and Temporal Analysis, and Prediction of Mobile Phone Users’ Distributions based upon a Convolution Long Short Term Memory (LSTM) Model,” Sensors, vol. 19 no. 9, 2156, 2019.

  6. P. Charlton and S. Poslad, “Engaging with computer science when solving tangible problems,” Proceedings of the 3rd Conference on Computing Education Practice, Durham, United Kingdom, 2019, pp. 1-4.

  7. X. Zhang, C. Liu, S. Poslad and K.K. Chai, “A Provable Semi-Outsourcing Privacy Preserving Scheme for Data Transmission From IoT Devices,” IEEE Access, vol. 7, pp. 87169-87177, 2019.

  8. R. Massoud, F. Bellotti, R. Berta, A. De Gloria and S. Poslad, “Exploring Fuzzy Logic and Random Forest for Car Drivers’ Fuel Consumption Estimation in IoT-Enabled Serious Games,” 2019 IEEE 14th International Symposium on Autonomous Decentralized System (ISADS), Utrecht, Netherlands, 2019, pp. 1-7.

  9. F. Luo, S. Poslad and E. Bodanese, “Kitchen Activity Detection for Healthcare using a Low-Power Radar-Enabled Sensor Network,” ICC 2019 – 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-7.

  10. R. Kim, R. van. Dierendonck and S. Poslad, “Moldy Ghosts and Yeasty Invasions: Glitches in Hybrid Bio-Digital Game,” 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, United Kingdom, 2019, pp. 1-6.

  11. Kim R and Poslad S, “The Thing with E.coli: Highlighting Opportunities and Challenges of Integrating Bacteria in IoT and HCI,” New Directions for the IoT: Automate, Share, Build, and Care Workshop at 2019 Conference on Computer Human Interaction (CHI’19), Glasgow, Scotland, United Kingdom, 2019, pp. 1-6.

  12. Z. Ma, B. Wu and S. Poslad, “A WiFi RSSI Ranking Fingerprint Positioning System and Its Application to Indoor Activities of Daily Living Recognition,” Int. J. Distributed Sensor Networks (IJDSN), vol. 15, no. 4, pp. 1-14, 2019.

2018

  1. R. Massoud and S. Poslad, F. Bellotti, R. Berta, K. Mehran and A. De. Gloria, “A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games,” International Journal of Serious Games, vol. 5, no. 4, pp. 45-62, 2018.
  2. H. Aamer, R. Mumtaz, H. Anwar and S. Poslad, “A Very Low Cost, Open, Wireless, Internet of Things (IoT) Air Quality Monitoring Platform,” 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT), Islamabad, Pakistan, 2018, pp. 102-106.
  3. B. Wu, Z. Ma, S. Poslad and Y. Li, “WiFi Fingerprint Based, Indoor, Location-Driven Activities of Daily Living Recognition,” 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC), Kaohsiung, Taiwan, 2018, pp. 148-151.
  4. Z. Ma, J. Bigham, S. Poslad, B. Wu, X. Zhang and E. Bodanese, “Device-Free, Activity During Daily Life, Recognition Using a Low-Cost Lidar,” 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6.
  5. X. Zhang, S. Poslad and Z. Ma, “Block-Based Access Control for Blockchain-Based Electronic Medical Records (EMRs) Query in eHealth,” 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-7.
  6. X. Zhang and S. Poslad, “Blockchain Support for Flexible Queries with Granular Access Control to Electronic Medical Records (EMR),” 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018, pp. 1-6.
  7. B. Wu, Z. Ma, S. Poslad and W. Zhang, “An efficient wireless access point selection algorithm for location determination based on RSSI interval overlap degree determination,” 2018 Wireless Telecommunications Symposium (WTS), Phoenix, AZ, USA, 2018, pp. 1-8.
  8. H. Boys, G. Frediani, M. Ghilardi, S. Poslad, J. C. Busfield and F. Carpi, “Soft wearable non-vibratory tactile displays,” 2018 IEEE International Conference on Soft Robotics (RoboSoft), Livorno, Italy, 2018, pp. 270-275.
  9. R. Kim, and S. Poslad, “Mould Rush: Augmenting Reality through Slow Bio-Digital Interaction,” Acoustic Space Journal: No.17, RIXC. Riga, Latvia, 2018.
  10. R. Kim, S. Thomas, A. Kaniadakis, R. van. Dierendonck and S. Poslad, “Microbial Integration on Player Experience of Hybrid Bio-Digital Games,” International Conference on Intelligent Technologies for Interactive Entertainment, Guimaräes, Portugal, 2018, pp. 148-159.
  11. R. Kim, S. Thomas, R. van. Dierendonck and S. Poslad, “A New Mould Rush: Designing for a Slow Bio-Digital Game Driven by Living Micro-organisms,” In Proceedings of Foundations of Digital Games Conference (FDG’18), Malmö, Sweden, 2018, pp. 1-9.