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Topic Review
Optimization of Independent Vector Analysis Algorithm
With the advent of the era of big data information, artificial intelligence (AI) methods have become extremely promising and attractive. It has become extremely important to extract useful signals by decomposing various mixed signals through blind source separation (BSS). BSS has been proven to have prominent applications in multichannel audio processing. For multichannel speech signals, independent component analysis (ICA) requires a certain statistical independence of source signals and other conditions to allow blind separation. independent vector analysis (IVA) is an extension of ICA for the simultaneous separation of multiple parallel mixed signals. IVA solves the problem of arrangement ambiguity caused by independent component analysis by exploiting the dependencies between source signal components and plays a crucial role in dealing with the problem of convolutional blind signal separation.
  • 646
  • 02 Feb 2023
Topic Review
Cistus ladanifer as a Potential Feedstock for Biorefineries
Cistus ladanifer (rockrose) is a widespread shrub species in the Mediterranean region well known due to its production of labdanum gum, especially in the hot season. Its leaves and branches can be subjected to different extraction and distillation processes to produce various types of extracts. The natural extracts of C. ladanifer have several applications, especially in the perfumery and cosmetics sector. C. ladanifer extracts, in addition to presenting interesting odoriferous properties, are also known for their bioactive properties, such as antioxidant and antimicrobial. The use of this species in animal feed or phytostabilisation of mining areas has also been successfully applied. Furthermore, the lignin and polysaccharides that are the major fractions from Cistus residues can be relevant sources of high-value products in a biorefinery framework.
  • 915
  • 02 Feb 2023
Topic Review
Application of Thermoelectric Generator (TEG) in IoT Sensors
The Internet-of-Things (IoT) combines various sensors and the internet to form an expanded network, realizing the interconnection between human beings and machines anytime and anywhere. Nevertheless, the problem of energy supply limits the large-scale implementation of IoT. Fortunately, thermoelectric generators (TEGs), which can directly convert thermal gradient into electricity, have attracted extensive attention in the field of IoT due to their unique benefits, such as small size, long maintenance cycle, high stability, and no noise. Therefore, it is vital to integrate the significantly advanced research on TEGs into IoT. The authors first outlined the basic principle of the thermoelectricity effect and summarized the common preparation methods for thermoelectric functional parts in TEGs. Then, the application of TEG-powered sensors in the human body was wearable and implantable medical electronic devices. It is followed by a discussion on the application of scene sensors for IoTs, for example, building energy management and airliners. Finally, researchers provided a further outlook on the current challenges and opportunities.
  • 847
  • 01 Feb 2023
Topic Review
Industry 5.0
Industry 5.0 presents itself as a strategy that puts the human factor at the centre of production, where the well-being of the worker is prioritized, as well as more sustainable and resilient production systems. For human centricity, it is necessary to empower human beings and, respectively, industrial operators, to improve their individual skills and competences in collaboration or cooperation with digital technologies.
  • 941
  • 01 Feb 2023
Topic Review
Low-Dimensional-Materials-Based Flexible Artificial Synapse
With the rapid development of artificial intelligence and the Internet of Things, there is an explosion of available data for processing and analysis in any domain. However, signal processing efficiency is limited by the Von Neumann structure for the conventional computing system. Therefore, the design and construction of artificial synapse, which is the basic unit for the hardware-based neural network, by mimicking the structure and working mechanisms of biological synapses, have attracted a great amount of attention to overcome this limitation. In addition, a revolution in healthcare monitoring, neuro-prosthetics, and human–machine interfaces can be further realized with a flexible device integrating sensing, memory, and processing functions by emulating the bionic sensory and perceptual functions of neural systems. Therefore, low-dimensional materials, including both 0-dimensional materials (0D), one-dimensional (1D) materials, and two-dimensional (2D), have been employed in flexible neuromorphic devices and systems. 
  • 348
  • 01 Feb 2023
Topic Review
Technology Transfer in the Industry 4.0 Era
Modern innovative models have the possibility of transferring research and development (R&D) output through technology transfer from scientific and research institutions or other enterprises. The complex process of technology transfer is significantly dependent on cooperation among academia, industry, and governments in response to the technological developments driven together through Industry 4.0 (I4.0). As a result, numerous technology transfer factors must be addressed for I4.0 to become a reality. However, the abundance of literature on I4.0 and associated technologies, the key ingredients, and insights for effectively executing I4.0 technology transfer are fairly limited.
  • 768
  • 31 Jan 2023
Topic Review
Nanofluid Preparation and Stability
The advent of nanotechnology has brought about significant technological advancements in many fields of study. The birth of nanofluids as an advanced thermal transport media in the area of thermal management is a laudable and notable feat. Nanofluids (mono and hybrid nanofluids) have been extensively researched and established to be better than conventional thermal transport media due to their enhanced thermophysical and convective properties.
  • 635
  • 31 Jan 2023
Topic Review
Ultra-Dense Networks Taxonomy
Ultra-Dense Network (UDN) is a network with a spatial density of access points (APs) (or base stations) identical to or larger than the number of active end devices—EDs (user equipments (UEs) or physical devices (PDs)). UDNs can be seen as a network paradigm which can be implemented in the context of various kinds of wireless networks, such as sensor/IoT (Internet of Things) networks, mobile networks, aerial networks, and even satellite networks. 
  • 754
  • 31 Jan 2023
Topic Review
Distribution System State Estimation Algorithms
The modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly architectures. For this purpose, advanced control algorithms and optimization processes are implemented, the performance of which relies on the Distribution System State Estimation (DSSE). DSSE algorithms provide the Distribution System Operator (DSO) with detailed information regarding the network’s state in order to derive the optimal decisions. However, this task is quite complex as the distribution system has inherent unbalance issues, often faces lack of adequate measurements, etc.
  • 675
  • 31 Jan 2023
Topic Review
Microgrid Operation Mode and Architectures
Energy security and the resilience of electricity networks have gained critical momentum as subjects of research. The challenges of meeting the increasing electrical energy demands and the decarbonisation efforts necessary to mitigate the effects of climate change have highlighted the importance of microgrids for the effective integration of renewable energy sources. Microgrids (MGs) can operate in grid-connected and islanded operation. MG architectures are categorised as alternating current microgrid (ACMG), direct current microgrid (DCMG) and hybrid microgrid (HMG).
  • 1.4K
  • 31 Jan 2023
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