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--- refnotes:bib [2023/03/09 14:41] – epsatisep
+++ refnotes:bib [2024/02/29 17:45] (current) – epsatisep
@@ Line 1: / Line 1: @@
 <code bibtex>
-@InProceedings{REIS2020,
+@article{Hamza2023,
+title = {BeeLive: The IoT platform of Beemon monitoring and alerting system for beehives},
+journal = {Smart Agricultural Technology},
+volume = {6},
+pages = {100331},
+year = {2023},
+issn = {2772-3755},
+doi = {https://doi.org/10.1016/j.atech.2023.100331},
+url = {https://www.sciencedirect.com/science/article/pii/S2772375523001600},
+author = {Abdelbaset S. Hamza and Rahman Tashakkori and Bejamen Underwood and William O'Brien and Chris Campell},
+keywords = {Beehive, Honey bees, Internet-of-Things (IoT)},
+abstract = {Monitoring honey beehives is mainly done manually by beekeepers to evaluate the health of their hives and determine their growth and yield. With the emergence of Internet of Things (IoT) devices and tools, there have been some efforts in recent years to automate such monitoring. This can significantly benefit beekeepers as they can obtain critical data and insight into their hives' health and performance more regularly. In this paper, we use IoT devices and the Thingsboard dashboard to track the status of 28 honey beehives installed in the Western region of North Carolina as part of the Appalachian Multi-Apiary Informatics System (AppMAIS) project. In order to acquire data from a beehive, humidity and temperature sensors, as well as a microphone, have been placed inside the hives. In addition, a video camera has been placed at the top of the hive's entrance to obtain video recordings of the bees entering and leaving the hives, and a scale is placed under the hive to report the weight. The data collected from the sensors and peripherals installed in each of the AppMAIS hives are sent to the Thingsboard dashboard for management and visualization. In this paper, we report on our success with Thingsboard IoT tool to monitor honey beehives and take advantage of their capabilities to interact with the devices as needed to adjust operational parameters.}
+}
+@InProceedings{Reis2020,
     author="dos Reis, Alexandre Soares
     and Gielen, Elien
@@ Line 30: / Line 44: @@
 }
-@article{LEE2018,
+@article{Lee2018,
     title = "Design and Implementation of Monitoring System Architecture for Smart Bicycle Platform",
     journal = "Procedia Computer Science",
     volume = "134",
-    pages = "464 - 469",
+    pages = "464--469",
     year = "2018",
     note = "The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops",
@@ Line 45: / Line 59: @@
 }
-@article{RANJITH2020,
+@article{Ranjith2020,
-    title = "Prediction of Exhaust Gas Emission characteristics using Neem oil blended bio- diesel in diesel engine",
+    title = "Prediction of Exhaust Gas Emission characteristics using Neem oil blended bio-diesel in diesel engine",
     journal = "Materials Today: Proceedings",
     volume = "21",
@@ Line 60: / Line 74: @@
 }
-@article{SOBHANI2018,
+@article{Sobhani2018,
     title = "Impact of smartphone distraction on pedestrians crossing behaviour: An application of head-mounted immersive virtual reality",
     journal = "Transportation Research Part F: Traffic Psychology and Behaviour",
@@ Line 74: / Line 88: @@
 }
-@article{OBAYASHI2020,
+@article{Obayashi2020,
     title = "Pilot and Feasibility Study on Elderly Support Services Using Communicative Robots and Monitoring Sensors Integrated With Cloud Robotics",
     journal = "Clinical Therapeutics",
@@ Line 93: / Line 107: @@
 }
-@article{THAPA2019,
+@article{Thapa2019,
     title = "Study on the wintry thermal improvement of makeshift shelters built after Nepal earthquake 2015",
     journal = "Energy and Buildings",
@@ Line 118: / Line 132: @@
 @MISC{android41,
   author  = "{Android Open Source Project}",
-  title   = "{Android Developers: Android 4.1 APIs}. January 2015. [Accessed in April, 2017]",
+  title   = "{Android Developers: Android 4.1 APIs}",
   url     = "{http://developer.android.com/about/versions/android-4.1.html}",
   urldate = "{May 2014}",
@@ Line 134: / Line 148: @@
 }
-@BOOK{bandyopadhyay2013unsupervised,
+@BOOK{Bandyopadhyay2013,
   title={Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications},
   author={Bandyopadhyay, Sanghamitra and Saha, Sriparna},
@@ Line 145: / Line 159: @@
-@ARTICLE{llorente2009virtual,
+@ARTICLE{Llorente2009,
   author  ="{Sotomayor, B. and Montero, Ruben S. and Llorente, I.M. and Foster, I.}",
   journal ="Internet Computing, IEEE",
@@ Line 158: / Line 172: @@
 }
-@article{Mulder2013428,
+@article{Mulder2013,
     title = "Development of a Motion System for an Advanced Sailing Simulator ",
-    journal = "Procedia Engineering ",
+    journal = "Procedia Engineering",
     volume = "60",
     number = "0",
@@ Line 178: / Line 192: @@
 }
-@article{Mahn:2006,
+@article{Mahn2006,
 title = {A BEHAVIOUR-BASED NAVIGATION SYSTEM FOR AN AUTONOMOUS INDOOR BLIMP},
 journal = {IFAC Proceedings Volumes},
@@ Line 192: / Line 206: @@
 keywords = {control, indoor navigation},
 abstract = {This paper describes a behaviour-based navigation system for airborne autonomous robots. The work has been validated by controlling an indoor blimp with a finite-state machine. It is shown that behaviour-based navigation, especially concerning mobile robots for indoor applications, is predestined to perform reconnaissance of unknown areas and moreover for navigation tasks in familiar environment. Due to the inability of most autonomous indoor aerial vehicles to carry heavy sensors, these systems lack of metrical information and therefore the explicit localization is yet impossible until today. The behaviour-based navigation is combined with a variety of path-planning methods (tree-search, potential fields, etc.) using obstacle-maps of known surroundings enabling the robot to acquire a desired position in a correspondent cluster of rooms.}
+}
+@INPROCEEDINGS{Khan2018,
+  author={Khan, Tareq},
+  booktitle={2018 IEEE International Conference on Electro/Information Technology (EIT)},
+  title={A Smart Wearable Gadget for Noninvasive Detection and Notification of Diaper Moister},
+  year={2018},
+  volume={},
+  number={},
+  pages={0240-0244},
+  abstract={Wearing a wet diaper for a long time can be uncomfortable and cause health issues such as diaper rash. The best way to avoid diaper rash is to change the diaper often and as soon as possible after the baby urinates or passes stool. Daycare caregivers or parents sometimes forget or do not have time to manually check the diaper condition of the babies throughout the day. In this age of smart devices, many people are busy with their cell phones or tablets for social networking, texting, gaming, music etc. In this project, a novel wearable gadget is developed which sends an automatic notification to caregivers smart devices whenever the baby urinates. The proposed wearable detects urination event noninvasively by sensing the temperature rise on the outer surface of the diaper. The gadget is a small size, low power, low cost and reusable electronic device that is attached externally to the outer surface of the diaper using hook-and-Ioop fasteners. The gadget can be used with any disposable diaper, thus no change in the diaper production process or price increase is required. The smartphone app logs the urination events and creates databases and reports. This record can facilitate treating disease such as dehydration, where accurate previous records of urination are required. A prototype of the hardware gadget and a smartphone app is developed and tested.},
+  keywords={},
+  doi={10.1109/EIT.2018.8500233},
+  ISSN={2154-0373},
+  month={May},
 }
 </code>