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"IEEE Sensors Alert" is a pilot project of the IEEE Sensors Council. Started as one of its new initiatives, this weekly digest publishes teasers and condensed versions of our journal papers in layperson's language.
Articles Posted in the Month (May 2021)
Light-Based Indoor Positioning System A Review
Author: MalithMaheepala, Abbas Z. Kouzani, Matthew A. Joordens
Published in: IEEE Sensors Journal (Volume: 20, Issue: 8, April 2020)
It’s impossible to imagine the modern lifestyle without positioning systems and navigation technologies. The widely used Global positioning system (GPS) and navigation technologiesare ineffective in indoor environments. The emergence of indoor positioning technologies came as a boon for the indoor. Indoor positioning using light signals have immensepotential to provide a reliable and more accurate solution to the indoor positioning systems.
Utilizing Blockchain to Overcome Cyber Security Concerns in the Internet of Things
Author: Bandar Alotaibi
Published in: IEEE Sensors Journal (Volume: 19, Issue: 23, December 2019)
The Internet of Things (IoT), a wide network of internet connected objects to exchange data, has found impressive solutions in the last two decades which improved people’s lives. To maximise the benefit of IoT applications, blockchain technology has been explored and utilized to enhance the security limitations of the IoT technology.
Published in: IEEE Sensors Journal (Volume: 20, Issue: 8, April 2020)
The emerging application of consumer grade EEG measuring sensors and advancement in technology, which had made it portable and affordable, has made it accessible in the general market. EEG devices now have a broader use other than medicine. The researchers, educationists, game developers, engineers, and psychiatrists are enthusiastic about the consumer grade EEG device, which has made the study of the brain accessible and its application quite convenient.
Published in: IEEE Sensors Journal (Volume: 20, Issue: 8, April 2020)
The embedded sensors in camera-enabled devices like the drones and smartphones have opened immense opportunities of bringing imaging capabilities to sensor networks. The networks of connected cameras using 5G, Zigbee, WiFi, Bluetooth protocols result in an advanced technology of visual sensors platforms. Very soon we expect on-board Artificial Intelligence and Machine Learning enabled System-on-Chip wireless visual sensor network (WVSN) platforms for IoT applications.
Sensory Systems in Micro-Processor Controlled Prosthetic Leg: A Review
Author: Nur Azah Hamzaid, Nur Hidayah Mohd Yusof, Farahiyah Jasni.
Published in: IEEE Sensors Journal (Volume: 20, Issue: 9, May 2020)
In recent years, Micro-processor controlled prosthetic legs (MPCPL) are being preferred over conventional prosthetics because they use actuators to replace missing joint function and hence are more functional. Due to this the user’s walking gait and metabolic energy consumption can be imitated very well. The state-of-the-art MPCPL takes commands from the brain through muscles motion, converts that into the user’s gait intention and performs the locomotive motion based on the kinetics sensory system’s input. Very soon the comfort of the motion control will be complimented by taking inputs of eyes and ears to ensure gait further safer.
Author: Jacob T. Robinson, Eric Pohlmeyer, Malte C. Gather, Caleb Kemere, John E. Kitching, George G. Malliaras, Adam Marblestone, Kenneth L. Shepard.
Published in: IEEE Sensors Journal (Volume: 19, Issue: 22, November 2020)
Brain-sensing technologies have immense opportunities and challenges for researchers to explore and identify the best strategies to translate them into products and therapies to improve patients’ lives with neurological and other disorders. It raises the possibility of creating neural interfaces that can more effectively restore or repair neural function and reveal fundamental properties of neural information processing. The transition of these technologies into commercial products and therapies has enormous scope in the future.
Sensors and Systems for Wearable Environmental Monitoring Toward IoT-Enabled Applications: A Review
Author: Md Abdulla Al Mamun and Mehmet Rasit Yuce.
Published in: IEEE Sensors Journal (Volume: 19, Issue: 18, September 2019)
Environmental pollution has a significant impact on the health of the people and the atmosphere around them. The advancement in microelectronics, communication technologies, and miniature environmental sensing devices has boosted the wearable environmental monitoring systems (WEMS) to monitor environmental pollution. Since there is a strong interrelation between environmental pollution with the economic consequences and escalations in healthcare costs, wearable environmental devices are boon for society.
Author: Authors: Anshul Gaur, Abhishek Singh, Ashok Kumar, Kishor S. Kulkarni, Sayantani Lala, Kamal Kapoor, Vishal Srivastava, Anuj Kumar, and Subhas Chandra Mukhopadhyay
Published in: IEEE Sensors Journal (Volume: 19, Issue: 9, May 2019)
The progress on fire sensing technologies has been quite substantial due to advancements in sensing, information, and communications technologies. The sensing system’s hardware and algorithm ensure its excellent ability to detect early fire with less false positives. The information and communication technology focuses on issuing an early warning to notify the occupants and the fire department. Developing a robust fire system demands establishing the benchmark parameters for heat, flame, smoke, and gas levels detection in every fire scenario.
Sensing as a Service: Challenges, Solutions and Future Directions
Author: Xiang Sheng, Jian Tang, Xuejie Xiao and Guoliang Xue.
Published in: IEEE Sensors Journal (Volume: 13, Issue: 10, October 2013)
Mobile phones do have various sensors which are used for exciting sensing applications by creating a cloud computing platform. This could be used as crowd-sourced platform to create innumerable novel sensing applications which are energy-efficient too.
Neglecting quality monitoring can lead to contamination and degradation of packaged food. Temperature variation during storage encourages the growth of microorganisms and bacteria, making supervision essential for quality control. Smart packaging with inbuilt temperature and strain sensors can detect these anomalies caused by microbial contamination. The sensor also incorporates an NFC (near field communication) tag and an LED (light emitting diode) indicator for user-friendly notification.
A robust pavement crack detection network is imperative to mitigate traffic accidents and minimize maintenance costs. The paper proposed an efficient hybrid model by merging YOLOv5 and Transformer, utilizing one-stage architecture and long-range dependency capture for reliable crack detection. The network's performance is further improved using test time augmentation (TTA) for crack detection. An efficient solution for urban pavement damage detection, it paves the way for expanding datasets to tackle diverse pavement issues.
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