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Topic Review
AI Methods for Intelligent Sensing
Smart sensors complement and enhance the capabilities of human beings and have been widely embraced in numerous application areas. Artificial intelligence (AI) has made astounding growth in domains of natural language processing, machine learning (ML), and computer vision. The methods based on AI enable a computer to learn and monitor activities by sensing the source of information in a real-time environment. The combination of these two technologies provides a promising solution in intelligent sensing. 
  • 858
  • 10 Jun 2022
Topic Review
Review Microwave Resonant Glucose Sensors
The measurement of glucose concentration finds interesting potential applications in both industry and biomedical contexts. Among the proposed solutions, the use of microwave planar resonant sensors has led to remarkable scientific activity during the last years. These sensors rely on the changes in the dielectric properties of the medium due to variations in the glucose concentration. These devices show electrical responses dependent on the surrounding dielectric properties, and therefore the changes in their response can be related to variations in the glucose content. This work shows an up-to-date review of this sensing approach after more than one decade of research and development. The attempts involved are sorted by the sensing parameter, and the computation of a common relative sensitivity to glucose is proposed as general comparison tool. The manuscript also discusses the key points of each sensor category and the possible future lines and challenges of the sensing approach.
  • 857
  • 09 Aug 2021
Topic Review
LoRaWAN and SD-WAN Technologies
The existing Emergency Communication Systems use cases and current research directions are discussed regarding the use of unconventional and hybrid methods for establishing communication between a specific site and the outside world.
  • 857
  • 01 Jun 2023
Topic Review
Control in Micro-Grid Systems
The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, significant energy savings can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offering the possibility for simple consumers to be producers of electricity. This hybrid system contains different renewable generators connected to energy storage systems, making it possible to locally produce a part of energy in order to minimize the consumption from the utility grid. 
  • 854
  • 16 Jun 2021
Topic Review
Electrochemical Detection of CTC
CTC is the main target of liquid biopsy. In the past few decades, the separation of CTC based on the electrochemical method has attracted widespread attention due to its convenience, rapidness, low cost, high sensitivity, and no need for complex instruments and equipment. In this review, we summarized the latest developments in the electrochemical-based CTC detection, and discussed the challenges and possible trends.
  • 852
  • 09 Nov 2020
Topic Review
Operative Forecasting of Electric Energy Consumption
Balancing the production and consumption of electricity is an urgent task. Its implementation largely depends on the means and methods of planning electricity production. Forecasting is one of the planning tools since the availability of an accurate forecast is a mechanism for increasing the validity of management decisions. Both classical and modern forecasting methods have been identified when forecasting electric energy consumption. Classical forecasting methods are based on the theory of regression and statistical analysis (regression, autoregressive models); probabilistic forecasting methods and modern forecasting methods use classical and deep-machine-learning algorithms, rank analysis methodology, fuzzy set theory, singular spectral analysis, wavelet transformations, Gray models, etc. Operational forecasting is the research subject of many scientists; it touches upon the issues of operational management of the operating modes of power facilities.
  • 852
  • 30 Nov 2022
Topic Review
Wearable Technology in Sports
Wearable technology is increasingly vital for improving sports performance through real-time data analysis and tracking. Both professional and amateur athletes rely on wearable sensors to enhance training efficiency and competition outcomes.
  • 851
  • 20 Sep 2023
Topic Review
IEEE P2668 Evaluation for Smart Battery Management Systems
In smart cities and smart industry, a Battery Management System (BMS) focuses on the intelligent supervision of the status (e.g., state of charge, temperature) of batteries (e.g., lithium battery, lead battery). Internet of Things (IoT) integration enhances the system’s intelligence and convenience, making it a Smart BMS (SBMS). However, this also raises concerns regarding evaluating the SBMS in the wireless context in which these systems are installed. Considering the battery application, in particular, the SBMS will depend on several wireless communication characteristics, such as mobility, latency, fading, etc., necessitating a tailored evaluation strategy.  An IEEE P2668-Compatible SBMS Evaluation Strategy (SBMS-ES) was proposed to overcome this issue. The SBMS-ES is based on the IEEE P2668 worldwide standard, which aims to assess IoT solutions’ maturity.
  • 849
  • 15 Sep 2022
Topic Review
Progress of Photonic-Crystal Surface-Emitting Lasers
The concept of photonic crystals was proposed in 1987. Afterward, this kind of artificial structure with photonic bandgaps attracted much attention for their special dispersion. Such artificial structures fabricated at the micro- or nanoscale, namely photonic crystals, can use the periodical changes of material refractive index to affect the propagation of a light beam, imitating natural crystals that give rise to the X-ray diffraction with their atomic lattices. Thus, with this kind of artificial structure, photonic crystals can pave prospective ways for specific light modulation with ultracompact form factors. A revolutionary semiconductor laser technology, namely the photonic-crystal surface-emitting laser (PCSEL), emerges. PCSEL exhibits not only a symmetric beam profile with narrow beam divergence but also a high-power operation with controllability. Therefore, it may be the holy grail for an ultracompact time-of-flight (ToF) LiDAR system.
  • 846
  • 15 Jun 2022
Topic Review
High-Voltage Film Capacitors
High-voltage capacitors are key components for circuit breakers and monitoring and protection devices, and are important elements used to improve the efficiency and reliability of the grid. Different technologies are used in high-voltage capacitor manufacturing process, and at all stages of this process polymeric films must be used, along with an encapsulating material, which can be either liquid, solid or gaseous.
  • 844
  • 24 Mar 2021
Topic Review
Electromechanics
In engineering, electromechanics combines processes and procedures drawn from electrical engineering and mechanical engineering. Electromechanics focuses on the interaction of electrical and mechanical systems as a whole and how the two systems interact with each other. This process is especially prominent in systems such as those of DC or AC rotating electrical machines which can be designed and operated to generate power from a mechanical process (generator) or used to power a mechanical effect (motor). Electrical engineering in this context also encompasses electronics engineering. Electromechanical devices are ones which have both electrical and mechanical processes. Strictly speaking, a manually operated switch is an electromechanical component due to the mechanical movement causing an electrical output. Though this is true, the term is usually understood to refer to devices which involve an electrical signal to create mechanical movement, or vice versa mechanical movement to create an electric signal. Often involving electromagnetic principles such as in relays, which allow a voltage or current to control another, usually isolated circuit voltage or current by mechanically switching sets of contacts, and solenoids, by which a voltage can actuate a moving linkage as in solenoid valves. Before the development of modern electronics, electromechanical devices were widely used in complicated subsystems of parts, including electric typewriters, teleprinters, clocks, initial television systems, and the very early electromechanical digital computers. Solid-state electronics have replaced electromechanics in many applications.
  • 842
  • 17 Nov 2022
Topic Review
Radio Frequency Identification
Radio frequency identification (RFID) is widely used in several contexts, such as logistics, supply chains, asset tracking, and health, among others, therefore drawing the attention of many researchers.
  • 841
  • 15 Jul 2021
Topic Review
Impedance-Based Analysis for Controller Design
In inverter-dominated AC grids, impedance-based analysis methods are proving to be more powerful than traditional state-space-based analysis methods. Even the conventional parameters and standards used to estimate the stability of generators and stronger grids cannot fully capture the dynamics of weaker, inverter-dominated grids. It then stands to reason that system impedances that are commonly used to analyze DC systems will be useful in the analysis of grid-forming inverters in these hybrid systems. To understand the value of studying the impedances of inverters and other elements in weak AC grids, this article reviews and describes the various ways in which impedance-based analyses can be used to define, assess, and improve the performance of grid-forming inverter controllers. 
  • 840
  • 21 Jun 2021
Topic Review
Wearable Devices and Work Safety
Today, ensuring work safety is considered to be one of the top priorities for various industries. Workplace injuries, illnesses, and deaths often entail substantial production and financial losses, governmental checks, series of dismissals, and loss of reputation. Wearable devices are one of the technologies that flourished with the fourth industrial revolution or Industry 4.0, allowing employers to monitor and maintain safety at workplaces.
  • 840
  • 23 Jun 2021
Topic Review
Sensor Calibration
A sensor is a detection device that can convert measured data into electrical signals output according to certain rules in order to meet the requirements of information transmission, processing, storage, display, recording, and control. The performance indicators of sensors usually include sensitivity, resolution, linearity, repeatability, stability, accuracy, and so on. The process of experimentally determining, under predetermined measurement conditions, the correspondence between a sensor’s input and output is known as calibration. The sensor has to be recalibrated if any of its indicators have changed as a result of the external environment or if it has been some time since the last calibration. 
  • 840
  • 28 Aug 2023
Topic Review
Fiber-Based Thermoelectric Materials
Fiber-based thermoelectric materials and devices have the characteristics of light-weight, stability, and flexibility, which can be used in wearable electronics, attracting the wide attention of researchers.
  • 836
  • 19 Aug 2021
Topic Review
DC-DC Converters for Solar Photo Voltaic
The DC microgrid contains renewable energy sources and a hybrid energy storage unit. The role and performance of versatile DC-DC converters in AC/DC and Hybrid microgrid applications, especially when solar (photo voltaic) PV is the major source.
  • 836
  • 07 Nov 2022
Topic Review
Intelligent Dispatcher Training Simulator
The concept of dispatcher training simulator (DTS) was first proposed by Latimer in 1977, and the first DTS device was developed in the same year. After a large discussion on DTS organized by Electric Power Research Institute (EPRI) in 1978, DTS was rapidly promoted in the power industry. In the 1990s, dynamic simulation and object-oriented techniques were introduced into DTS. Traditional DTS has been unable to meet the needs of the continuously developing smart grid. As artificial intelligence (AI) advances, more intelligent techniques are introduced into DTS, and the intelligent dispatcher training simulator (IDTS) is taking the historical stage. Nico Brose designed the first visualized IDTS in Germany, using software PRINS, which is coupled via a tele-control server with the Root-Mean-Square (RMS) real-time simulation core (with the software PowerFactory) for dynamic grid simulations.
  • 836
  • 06 Feb 2023
Topic Review
COVID-19 Biomarkers and Point-of-Care Diagnosis
COVID-19, also known as SARS-CoV-2 is a novel, respiratory virus currently plaguing humanity. Genetically, at its core, it is a single-strand positive-sense RNA virus. It is a beta-type Coronavirus and is distinct in its structure and binding mechanism compared to other types of coronaviruses. Testing for the virus remains a challenge due to the small market available for at-home detection. Currently, there are three main types of tests for biomarker detection: viral, antigen and antibody. Reverse Transcription-Polymerase Chain Reaction (RT-PCR) remains the gold standard for viral testing. However, the lack of quantitative detection and turnaround time for results are drawbacks. This manuscript focuses on recent advances in COVID-19 detection that have lower limits of detection and faster response times than RT-PCR testing. The advancements in sensing platforms have amplified the detection levels and provided real-time results for SARS-CoV-2 spike protein detection with limits as low as 1 fg/mL in the Graphene Field Effect Transistor (FET) sensor. Additionally, using multiple biomarkers, detection levels can achieve a specificity and sensitivity level comparable to that of PCR testing. Proper biomarker selection coupled with nano sensing detection platforms are key in the widespread use of Point of Care (POC) diagnosis in COVID-19 detection.
  • 830
  • 06 Sep 2021
Topic Review
Photoacoustic-Based Communication and Localization
The photoacoustic mechanism is commonly used in medical imaging. Yet, it has great potential as a means of air to underwater communication. The use of photoacoustic as a cross-medium communication has high potential to morph the classical way of approaching a solution in underwater applications.
  • 829
  • 20 Jun 2022
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