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Performance Evaluation of Sensor-fused Energy-efficient Geofencing for Smartphones

Tomohiro Nakagawa, Ken Ohta, Hiroshi Inamura, Makoto Suzuki, Hiroyuki Morikawa
2014 Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services  
Sensor-fused energy-efficient geofencing system EVALUATION REFERENCES Figure 2 . 2 Cumulative frequency distribution of positioning 4. CONCLUSION Table . 1 . .  ...  Parameters for each method setInterval()  ... 
doi:10.4108/icst.mobiquitous.2014.258038 dblp:conf/mobiquitous/NakagawaOISM14 fatcat:roodtuvdjbat5j4scibdfllhkq

IoT Geofencing for COVID-19 Home Quarantine Enforcement

Jiajie Tan, Edmund Sumpena, Weipeng Zhuo, Ziqi Zhao, Mengyun Liu, S.-H. Gary Chan
2020 IEEE Internet of Things Magazine  
We introduce two types of ID components (ambient ID and connection ID) in the home signature for efficient geofencing.  ...  F-measure evaluates the comprehensive performance of precision and recall, which is defined as their harmonic mean.  ... 
doi:10.1109/iotm.0001.2000097 fatcat:73cftmolkbhhlfpitjczxo6wou

Paratransit Trip Data Collection System with Smartphone GPS and REST Web Service in Malang, Indonesia

Agi Putra Kharisma, Eriq Muhammad Adams Jonemaro, Issa Arwani
2021 Indonesian Journal of Electrical Engineering and Informatics (IJEEI)  
In spite of periodically accessing location providers, the energy usage is quite low. University.  ...  To determine the position of the paratransit, the researchers used the concept of circle-based geofencing which is called pseudo-stop.  ...  ACKNOWLEDGMENTS We thank the Faculty of Computer Science, Brawijaya University for funding this research according to agreement number 2137/UN10F.15/PN/2019.  ... 
doi:10.11591/ijeei.v9i1.2507 fatcat:epa254t47jdr7ngf73ywfvo3r4

Positioning Methods and the Use of Location and Activity Data in Forests

Robert F. Keefe, Ann M. Wempe, Ryer M. Becker, Eloise G. Zimbelman, Emily S. Nagler, Sophie L. Gilbert, Christopher C. Caudill
2019 Forests  
In the hierarchical approach, wearable devices and other sensors typically transmit data at short distances using Bluetooth, Bluetooth Low Energy (BLE), or ANT wireless, and smartphones and tablets serve  ...  Data with greater spatial and temporal complexity is typically processed incrementally at lower tiers, then fused and summarized at higher levels of incident command or resource management.  ...  We felt it best served the spirit of the review to cover as much related literature as possible and that these contributed to the body of knowledge for interested readers.  ... 
doi:10.3390/f10050458 fatcat:b4m7rl7tqvg7xdivzspgne46xq

Recent Contributions of Some Fields of the Electronics in Development of Forest Operations Technologies

Rodolfo Picchio, Andrea Rosario Proto, Vincenzo Civitarese, Nicolò Di Marzio, Francesco Latterini
2019 Electronics  
undertake economic evaluation of stumpage value.  ...  for operators, ensuring at the same time high work productivity.  ...  Both studies reached good performances in work productivity evaluation.  ... 
doi:10.3390/electronics8121465 fatcat:ul6wyucp2vclnjftllscoygdg4

Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons

Suining He, S.-H. Gary Chan
2016 IEEE Communications Surveys and Tutorials  
achieving energy efficiency for smartphones.  ...  Regarding advanced techniques to localize users, we present how to make use of temporal or spatial signal patterns, user collaboration, and motion sensors.  ...  Besides, energy efficiency for sensor measurement and location computation is also important for future studies. III.  ... 
doi:10.1109/comst.2015.2464084 fatcat:vgqxvxzrl5ddte7xi4x4rnd5oa

On Architectural Qualities and Tactics for Mobile Sensing

Mikkel Baun Kjærgaard, Marco Kuhrmann
2015 Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures - QoSA '15  
Mobile sensing denotes the use of mobile devices and their integrated sensors for sensing and learning physical and social phenomena, and to use derived information for sharing, informing, and persuading  ...  Our preliminary findings show that the tactics are beneficial to provide a guideline and to create awareness of the special challenges of energy-efficient and resource-adaptable architecture design.  ...  Acknowledgment We would like to thank the students that participated in the case study on the tactics' validation, and that spent a vast amount of time to realize their mobile sensing projects.  ... 
doi:10.1145/2737182.2737196 dblp:conf/qosa/KjaergaardK15 fatcat:pzqrhvihkrblraqs7a2hbqryca

Skyfall: Signal Fusion from a Smartphone Falling from the Stratosphere

Milton A. Garcés, Daniel Bowman, Cleat Zeiler, Anthony Christe, Tyler Yoshiyama, Brian Williams, Meritxell Colet, Samuel Takazawa, Sarah Popenhagen
2022 Signals  
Our results reinforce the potential of smartphones as an agile and versatile geophysical data collection system for environmental and disaster monitoring IoT applications.  ...  A smartphone plummeted from a stratospheric height of 36 km, providing a near-real-time record of its rapid descent and ground impact.  ...  McLin for his assistance in the recovery of the balloon, and to anonymous reviewers who helped improve the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/signals3020014 fatcat:rvjh4skgyranzaxuklpxjqi7da

Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics

Yu Lu, Archan Misra, Wen Sun, Huayu Wu
2018 IEEE Transactions on Mobile Computing  
The application supports two triggering mechanisms for energy-efficient sensor data collection: either based on automatic location-driven events (geofences) or remotely by a cloud messaging mechanism.  ...  For most queuing/waiting scenarios, we observe that commuters either hold the smartphone on their palm or have it inside a garment pocket or bag; accordingly, we mainly evaluated the classification performance  ...  Her research interests cover a wide range of areas including body sensor network, IoT, participatory sensing, and 5G.  ... 
doi:10.1109/tmc.2017.2743176 fatcat:eb3v54t3ynasfgqqydjpy6w2ja

RETHINKING INDOOR LOCALIZATION SOLUTIONS TOWARDS THE FUTURE OF MOBILE LOCATION-BASED SERVICES

C. Guney
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Nevertheless, access to a user's location indoors is increasingly important in the development of context-aware applications that increases business efficiency.  ...  Secondly, poor coverage of satellite signals for indoor environments decreases its accuracy.  ...  (Mui, 2014) In order to improve the performance of indoor location and navigation of UAVs on-board sensors data, such as IMU, vision systems, laser rangefinders, can be fused data from radio-based indoor  ... 
doi:10.5194/isprs-annals-iv-4-w4-235-2017 fatcat:rubhxt3jpzft5jh4avgzxk4vle

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 IEEE Access  
Future buildings will offer new convenience, comfort, and efficiency possibilities to their residents.  ...  In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  The project focuses on designing and evaluating the energy efficiency services to enable the end-consumers in making the right decisions and controlling their energy consumption.  ... 
doi:10.1109/access.2019.2926642 fatcat:637wvzuezncn5noyfpfzx7w3ve

Mobility Collector

Adrian C. Prelipcean, Győző Gidófalvi, Yusak O. Susilo
2014 Journal of Location Based Services  
and their efficiency in terms of battery consumption.  ...  of steps and other useful movement features based on temporal aggregates of the raw readings) to develop and evaluate a method that automatically classifies the transportation mode of users with a 90.8%  ...  In this case, a set of POIs are declared and the location listening service uses the lowest energy consuming sensor for approximate locations and switches to a more energy-intensive sensor when the POI  ... 
doi:10.1080/17489725.2014.973917 fatcat:yosyq5miebf3nciufwbl7ddcsi

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey [article]

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 arXiv   pre-print
Future buildings will offer new convenience, comfort, and efficiency possibilities to their residents.  ...  In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  The project focuses on designing and evaluating the energy efficiency services to enable the end-consumers in making the right decisions and controlling their energy consumption.  ... 
arXiv:1904.01460v2 fatcat:rz2gsyurkradlkqvfankw3zue4

RoutineSense: A Mobile Sensing Framework for the Reconstruction of User Routines

Jean-Eudes Ranvier, Michele Catasta, Matteo Vasirani, Karl Aberer
2015 Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services  
Modern smartphones are powerful platforms that have become part of the everyday life for most people.  ...  Thanks to their sensing and computing capabilities, smartphones can unobtrusively identify simple user states (e.g., location, performed activity, etc.), enabling a plethora of applications that provide  ...  The MemorySense project was sponsored by Samsung Research America, and by Haslerstiftung in the context of the Smart World 11005 (MEM0R1ES) project.  ... 
doi:10.4108/eai.22-7-2015.2260055 dblp:journals/amsys/RanvierCVA15 fatcat:ceonxbmnjbejbbcxp3zkxhb5v4

Trends in Workplace Wearable Technologies and Connected‐Worker Solutions for Next‐Generation Occupational Safety, Health, and Productivity

Vishal Patel, Austin Chesmore, Christopher M. Legner, Santosh Pandey
2021 Advanced Intelligent Systems  
Altogether, these examples highlight the ground-level benefits of real-time visibility about frontline workers, work environment, distributed assets, workforce efficiency, and safety compliance  ...  To protect and promote total worker health, smart hardware, and software tools have emerged for the identification, elimination, substitution, and control of occupational hazards.  ...  National Science Foundation (NSF IDBR-1556370) and USA Department of Agriculture (2020-67021-31964) to S.P.  ... 
doi:10.1002/aisy.202100099 fatcat:ptbiiiaip5dfpbiorbhhpzesx4
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