In recent years, there has been a remarkable advance in monitoring technologies in many environments, be they urban or rural. These technologies, included in the Internet of Things (IoT) domain, allow remote control and acquisition of data from sensors for their subsequence analysis. All these systems are based on the interaction between sensors and actuators. To achieve this goal, it is necessary to provide a very high level of connectivity between the devices, especially as far as wireless systems are concerned. In this sense, there is a great variety of standards in the market of communication networks oriented to this end. One of the biggest challenges today is to allow inter-operability between these different technologies in order to homogenize this field. In addition to this, it is intended to introduce new communication techniques that can provide certain additional advantages to those already existing. The main idea is the creation of a cellular network where radiofrequency and optical technologies coexist, and whose link with the rest of the world is through long-range and low-consumption wireless technologies. The center of each cell, that is the lighting system, can be powered using solar panels, as can the existing systems in the market. The objective is that these panels are capable of providing the necessary energy to the rest of the necessary systems.
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http://dx.doi.org/10.3390/s20020478 | DOI Listing |
Light Sci Appl
January 2025
Department of Electronic Engineering, Tsinghua University, Beijing, China.
The rapid development of internet of things (IoT) urgently needs edge miniaturized computing devices with high efficiency and low-power consumption. In-sensor computing has emerged as a promising technology to enable in-situ data processing within the sensor array. Here, we report an optoelectronic array for in-sensor computing by integrating photodiodes (PDs) with resistive random-access memories (RRAMs).
View Article and Find Full Text PDFRev Bras Enferm
January 2025
Universidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.
Objectives: to identify how first-year nursing students use cyberspace and propose an orientation guide with criteria guiding the use of cyberspace.
Methods: qualitative and descriptive research, carried out with 24 nursing students from a federal public institution in Rio de Janeiro. Data collection was carried out through semi-structured interviews.
Condition monitoring and fault classification in engineering systems is a critical challenge within the scope of Prognostics and Health Management (PHM). The fault diagnosis of complex nonlinear systems, such as hydraulic systems, has become increasingly important due to advancements in big data analytics, machine learning (ML), Industry 4.0, and Internet of Things (IoT) applications.
View Article and Find Full Text PDFNano Lett
January 2025
Department of Materials, Imperial College London, London SW7 2AZ, United Kingdom.
Combining energy harvesting with energy storage systems in a single device could offer great advantages for continuous power supply in both indoor and outdoor electric applications. In this work, we demonstrate a photochargeable sodium-ion battery (PSIB) based on a photoactive cathode of two-dimensional crystals of MoSe. This photocathode enables spontaneous photodriven charging of a sodium-ion battery cathode under illumination and an increase in the reversible capacity to 29% at 600 mA g compared to that under dark conditions during galvanostatic cycling.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia.
The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. IoT systems are used for enabling connection between various devices based on the ability to gather and collect information. Furthermore, IoT systems are designed to address the environment and the automation industry.
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