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Bioelectric sensors are unique diagnostic principles and technologies. Although they share many traits with electrochemical sensors, especially regarding the common features of instrumentation, they are focused on the measurement of the electric properties of biorecognition elements as a reflection of cellular, biological, and biomolecular functions in a rapid, very sensitive, and often non-invasive manner. Bioelectric sensors offer a plethora of options in terms both of assay targets (molecules, cells, organs, and organisms) and methodological approaches (e.g., potentiometry, impedance spectrometry, and patch-clamp electrophysiology). Irrespective of the method of choice, “bioelectric profiling” is being rapidly established as a superior concept for a number of applications, including in vitro toxicity, signal transduction, real-time medical diagnostics, environmental risk assessment, and drug development. This Special Issue is the first that is exclusively dedicated to the advanced and emerging concepts and technologies of bioelectric sensors. Topics include, but are not restricted to, bioelectric sensors for single cell analysis, electrophysiological olfactory and volatile organic compounds sensors, impedimetric biosensors, microbial fuel cell biosensors, and implantable autonomous bioelectric micro- and nano-sensors.

Technology: general issues --- organic optoelectronic device --- pulse meter --- biosensor --- Bluetooth low energy (BLE) --- photoplethysmogram (PPG) --- chronic wounds --- electrical stimulation --- direct microcurrent --- non-invasive --- pressure ulcer --- wireless technology --- biochips --- impedance spectroscopy --- electrical equivalent circuit --- biomaterial --- Lysinibacillus sphaericus JG-A12 --- anticancer therapeutic strategies --- apoptosis --- bioelectric --- 5-fluorouracil --- HeLa cell line --- superoxide --- cell immobilization --- 3D-printed well --- bioelectric profiling --- impedance analysis --- real-time measurements --- electrochemical biosensors --- SWCNT --- point-of-care diagnostics --- label-free biosensors --- ELISA --- carbon nanotubes --- bovine serum albumin --- pacemaker --- threat modeling --- internet of things (IoT) medical devices --- vulnerabilities --- n/a

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The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected.

History of engineering & technology --- anomaly detection --- recurrent neural networks --- neural networks compression --- LHC --- WirelessHART network --- delay analysis --- real-time systems --- multi-channel processing --- simulation modeling --- transmission scheduling scheme --- industrial internet of things --- wireless networks --- industrial control systems --- wireless networked control systems --- industrial IoT --- security --- legacy production machinery --- real-time condition monitoring --- wireless local area network --- IEEE 802.11ah --- medium access control --- timeliness --- Wireless Sensor and Actuator Networks (WSANs) --- multipath retransmission --- resource scheduling --- realtime wireless communication --- monitoring and control system --- virtualization --- controller area network --- fieldbus --- real-time --- container --- Industrial Internet of Things (IIoT) --- LoRa --- WiFi HaLow --- Time Slotted Channel Hopping (TSCH) --- Narrowband IoT (NB-IoT) --- Bluetooth Low Energy (BLE) --- BLE Long Range --- WirelessHART --- ISA100.11a --- deep sparse coding --- convolutional neural networks --- signal analysis --- respiratory diseases --- medication adherence --- hardware design --- trust --- cryptography --- anomaly detection --- recurrent neural networks --- neural networks compression --- LHC --- WirelessHART network --- delay analysis --- real-time systems --- multi-channel processing --- simulation modeling --- transmission scheduling scheme --- industrial internet of things --- wireless networks --- industrial control systems --- wireless networked control systems --- industrial IoT --- security --- legacy production machinery --- real-time condition monitoring --- wireless local area network --- IEEE 802.11ah --- medium access control --- timeliness --- Wireless Sensor and Actuator Networks (WSANs) --- multipath retransmission --- resource scheduling --- realtime wireless communication --- monitoring and control system --- virtualization --- controller area network --- fieldbus --- real-time --- container --- Industrial Internet of Things (IIoT) --- LoRa --- WiFi HaLow --- Time Slotted Channel Hopping (TSCH) --- Narrowband IoT (NB-IoT) --- Bluetooth Low Energy (BLE) --- BLE Long Range --- WirelessHART --- ISA100.11a --- deep sparse coding --- convolutional neural networks --- signal analysis --- respiratory diseases --- medication adherence --- hardware design --- trust --- cryptography

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected.

History of engineering & technology --- anomaly detection --- recurrent neural networks --- neural networks compression --- LHC --- WirelessHART network --- delay analysis --- real-time systems --- multi-channel processing --- simulation modeling --- transmission scheduling scheme --- industrial internet of things --- wireless networks --- industrial control systems --- wireless networked control systems --- industrial IoT --- security --- legacy production machinery --- real-time condition monitoring --- wireless local area network --- IEEE 802.11ah --- medium access control --- timeliness --- Wireless Sensor and Actuator Networks (WSANs) --- multipath retransmission --- resource scheduling --- realtime wireless communication --- monitoring and control system --- virtualization --- controller area network --- fieldbus --- real-time --- container --- Industrial Internet of Things (IIoT) --- LoRa --- WiFi HaLow --- Time Slotted Channel Hopping (TSCH) --- Narrowband IoT (NB-IoT) --- Bluetooth Low Energy (BLE) --- BLE Long Range --- WirelessHART --- ISA100.11a --- deep sparse coding --- convolutional neural networks --- signal analysis --- respiratory diseases --- medication adherence --- hardware design --- trust --- cryptography --- n/a