Hybrid Technology Research Articles

Perovskite in Triboelectric Nanogenerator and the Hybrid Energy Collection System.

In the context of escalating energy demands and environmental sustainability, the paradigm of global energy systems is undergoing a transformative shift to innovative and reliable energy-harvesting techniques ranging from solar cells to triboelectric nanogenerators (TENGs) to hybrid energy systems, where a fever in the study of perovskite materials has been set off due to the excellent optoelectronic properties and defect tolerance features. This review begins with the basic properties of perovskite materials and the fundamentals of TENGs, including their working principles and general developing strategy, then delves into the key role of perovskite materials in promoting TENG-based hybrid technologies in terms of energy conversion. While spotlighting the coupling of triboelectric-optoelectronic effects in harnessing energy from a variety of sources, thereby transcending the limitations inherent to single-source energy systems, this review pays special attention to the strategic incorporation of perovskite materials into TENGs and TENG-based energy converting systems, which heralds a new frontier in enhancing efficiency, stability, and adaptability. At the end, this review highlights the remaining challenges such as stability, efficiency, and functionality for applications in TENG-based energy-harvesting systems, aiming to provide a comprehensive overview of the current landscape and the prospective trajectory of the role of perovskite materials in TENG-based energy-harvesting technologies within the renewable energy sector.

Ultrasound Assisted Hybrid Technologies for Extraction of Bioactive Compounds

The sustainable and efficient extraction of bioactive compounds from natural resources offers a promising alternative to synthetic additives and formulations. These compounds including polyphenols, flavonoids and polysaccharides possess antioxidant, antimicrobial and many therapeutic effects rendering them highly demandable by various industries. Conventional extraction methods often exhibit drawbacks such as high energy consumption, excessive solvent usage, prolonged processing times, low extraction yields, and negative environmental impacts. To address these limitations, innovative extraction technologies have emerged, providing more sustainable and efficient solutions. Ultrasound is a promising technology used for extraction of these beneficial compounds with enhanced yield and quality. It can assist various other extraction technologies including microwave assisted extraction, ohmic heating, enzyme extraction, subcritical water extraction and supercritical fluid extraction to obtain high quality extracts. The cavitation and the resulted effects of ultrasound facilitated the cell wall rupture enhancing the mass transfer making the cell structure more accessible by the other extraction technologies for the efficient extraction. This synergistic approach of ultrasound and other mentioned extraction technologies results in increased extraction yields and improved product quality by reducing extraction time, minimizing solvent consumption, and utilizing moderate energy inputs.

Indoor Positioning Systems in Logistics: A Review

Background: Indoor Positioning Systems (IPS) have gained increasing relevance in logistics, offering solutions for safety enhancement, intralogistics management, and material flow control across various environments such as industrial facilities, offices, hospitals, and supermarkets. This study aims to evaluate IPS technologies’ performance and applicability to guide practitioners in selecting systems suited to specific contexts. Methods: The study systematically reviews key IPS technologies, positioning methods, data types, filtering methods, and hybrid technologies, alongside real-world examples of IPS applications in various testing environments. Results: Our findings reveal that radio-based technologies, such as Radio Frequency Identification (RFID), Ultra-wideband (UWB), Wi-Fi, and Bluetooth (BLE), are the most commonly used, with UWB offering the highest accuracy in industrial settings. Geometric methods, particularly multilateration, proved to be the most effective for positioning and are supported by advanced filtering techniques like the Extended Kalman Filter and machine learning models such as Convolutional Neural Networks. Overall, hybrid approaches that integrate multiple technologies demonstrated enhanced accuracy and reliability, effectively mitigating environmental interferences and signal attenuation. Conclusions: The study provides valuable insights for logistics practitioners, emphasizing the importance of selecting IPS technologies suited to specific operational contexts, where precision and reliability are critical to operational success.

Comparison on chemical, structural, thermal, functional and antioxidant properties of polysaccharides and phenolics co-extracted from mangosteen (Garcinia mangostana Linn) peels by different eco-friendly hybrid technologies

This project aimed to compare the characteristics of the polysaccharides and phenolics simultaneously isolated from the peels of mangosteen using two hybrid methods: ultrasound-microwave (UMAE) and enzyme-ultrasound assisted extraction (EUAE). The polysaccharides extracted from mangosteen peels had dark brown to yellow color and rough surface with irregularly shaped particles, an accomplished purification of 92.5-94.8%, medium degree of esterification (48-53%), two molecular weights (0.12 to 2.42 x 105 Da and 11.66 to 13.24 x 105 Da), thermal profiles of two endothermic peaks and one exothermic peak, and monosaccharide profiles rich in arabinose, glucose, and galactose. However, UMAE polysaccharides possessed higher methoxyl content (6.4%), anhydrouronic acid content (69%), but lower solubility (69%), equivalent weight (540 g/mol), total phenolic content (25.9 mg gallic acid equivalent (GAE)/g dry weight (DW)), anthocyanin content (37.5 mg cyanidin-3-glucoside (C3G)/100 g DW), and antioxidant activity (24.9 mg Trolox equivalent (TE)/g DW) than EUAE ones (1.22%, 15%, 91%, 2300 g/mol, 42.1 mg GAE/g DW, 65.3 mg C3G/100 g DW, and 44.64 mg TE/g DW, respectively). Regarding the phenolics, both techniques produced the products with quite similar antioxidant properties in terms of total phenolics (222.7-230 mg GAE/g DW), total flavonoids (62-78 mg rutin equivalent/g DW), anthocyanin (95-108 mg C3G/100 g DW). However, EUAE phenolic extract exhibited higher α-mangostin, and γ-mangostin content (approximately 50% higher) than UMAE one, leading to its higher antioxidant activity. In conclusion, both extraction methods provide eco-friendly ways to obtain valuable products from mangosteen peels with potential health benefits and diverse applications.

Classification of Asphalt Pavement Defects for Sustainable Road Development Using a Novel Hybrid Technology Based on Clustering Deep Features

In the rapid development of urbanization, the sustained and healthy development of transportation infrastructure has become a widely discussed topic. The inspection and maintenance of asphalt pavements not only concern road safety and efficiency but also directly impact the rational allocation of resources and environmental sustainability. To address the challenges of modern transportation infrastructure management, this study innovatively proposes a hybrid learning model that integrates deep convolutional neural networks (DCNNs) and support vector machines (SVMs). Specifically, the model initially employs a ShuffleNet architecture to autonomously extract abstract features from various defect categories. Subsequently, the Maximum Relevance Minimum Redundancy (MRMR) method is utilized to select the top 25% of features with the highest relevance and minimal redundancy. After that, SVMs equipped with diverse kernel functions are deployed to perform training and prediction based on the selected features. The experimental results reveal that the model attains a high classification accuracy of 94.62% on a self-constructed asphalt pavement image dataset. This technology not only significantly improves the accuracy and efficiency of pavement inspection but also effectively reduces traffic congestion and incremental carbon emissions caused by pavement distress, thereby alleviating environmental burdens. It is of great significance for enhancing pavement maintenance efficiency, conserving resource consumption, mitigating environmental pollution, and promoting sustainable socio-economic development.

Analysis and Comparison of the Performances and Applications for the State-of-art Thermal Engines

Abstract. As a matter of fact, the development of contemporary internal combustion engines focuses on enhancing fuel efficiency and reducing emissions due to stringent environmental regulations. With the rise of electric cars, the development of hybrid technologies has driven innovation in internal combustion engines, and many modern vehicles combine internal combustion engines with electric motors. In this study, it introduces three different types of thermal engines with latest application in different transportation. By analyzing the limitations of internal combustion engines like thermodynamic limits and emission causing air pollution, it points the direction of future efforts on thermal engines. According to the results, internal combustion engines can be improved by increasing compression ratio through optimizing design and using better fuel like hydrogen. This article hopes to provide a clear understanding of the advantages and limitations of internal combustion engines. For companies and researchers, especially in the automotive sector, it aims to support strategic decisions in engine design and deployment.

Analysis and Verification of cooling structure of superconducting motors for electrical aircraft propulsion

The hydrogen-powered aviation hybrid technology is one of the important directions of the development of electrical aircraft propulsion. Superconducting motors (SCMs) are the core components of a hydrogen-powered aircraft due to their high power-to-weight ratio. Among SCMs, partial SCMs with superconducting armature windings and permanent magnets (SC-PMMs) are the research front and hotspots. This study focuses on the key issue of cooling the superconducting (SC) coils of SC-PMMs. The advantages and disadvantages of three cooling structures, namely core conduction cooling, coil immersion cooling, and core and coil immersion cooling, are compared. The temperature of the SC coils in different cooling structures is simulated and analyzed in detail. The obtained results show that the temperature of the coils in the core and coil immersion cooling structure is not much different from that in the coil immersion cooling structure, with a temperature difference of about 1.5 K only. However, the implementation of the core and coil immersion cooling structure is much easier. Therefore, an SC-PMM prototype is developed using it as the cooling structure, and the temperature change in the prototype under different operating conditions is investigated experimentally. The obtained results show that the final stable temperature during the cooling process is 76.8 K, and the coil on the top is more likely to quench than that at the bottom. The maximum frequency and maximum current at which the prototype can operate stably for a long time are 200 Hz and 49 A, respectively. This study verifies the effectiveness of the core and coil immersion cooling structure, obtains the quench prone area in SC-PMMs, and lays the foundation for the development of high-performance and highly reliable SCMs.

“Let’s say it wears an Ebola Coat, but it’s not Ebola”: The Rhetoric and Politics of Reframing a Vaccine for a Transnational Clinical Trial

Focusing on how disease, health and vaccine research take on different forms, meanings and interpretations in diverse contexts, we examine the use of rhetoric to recruit people living with HIV in sub-Saharan Africa for an Ebola vaccine clinical trial. Conducted after the West African Ebola outbreak in a country that had not been affected by Ebola, the urgency, relevance and materiality of disease, health and biomedical research takes on different shapes, meanings and understandings. The limitations of multilateral initiatives to address inequalities in associated healthcare and access to essential medicines and vaccines highlight the tensions created when neither local researchers nor patient communities have been involved in the design or planning of the trial, and when the pathologies targeted by experimental technologies are either inappropriate for the people they are aimed at, or unfold without the knowledge of a social consensus. By deciphering the metaphorical discourse on an Ebola vaccine candidate and the erasure of a viral ontology from the hybrid technology to which it gives rise, we understand that the discourse of clinic staff makes it possible to establish a scientific truth in the service of instrumental productivity: manufacturing consent and recruiting arms for vaccine shots. In this article, we show that the closure of biomedicine to an esoteric discourse reflects the weakness of science in communicating what it actually does and the techniques it produces. It also addresses the failure of community engagement in the field of emerging infectious diseases.

Scalable spectrally selective solar cell for highly efficient photovoltaic thermal conversion

Photovoltaic/thermal (PV/T) hybrid technology offers significant potential for carbon neutrality by simultaneously converting photons into electricity and heat simultaneously. However, the mismatch between PV/T output temperature and the temperature demand across a wide range of scenarios limits its practical uses. Traditional PV cells have high infrared emissivity, resulting in significant heat losses and seriously significantly hindering the development of PV/T systems. Spectrally selective solar cells characterized by high solar absorption, low thermal emission, and photoelectric conversion process, have yet to be realized thus far. In this study, we propose an integrated design and develop a scalable industrial approach for fabricating meter-scale spectrally selective solar cell with a high solar absorptivity of 92.3 % and a low infrared emissivity of 20.3 %, achieving the highest absorption-emission ratio of measured 4.6 experimentally. The primary novelty of the design lies in integrating the PV cell electrode atop and low-emissivity layer into one eliminating the need for rare metals and reducing complexity. Furthermore, we demonstrate that the spectrally selective PV/T significantly increases the overall solar efficiency from 13.7 % to 82.5 % and reduces the heat loss coefficient to 3.55 W/(m2.K). The validated model accurately captures the high photovoltaic thermal efficiency, enabling new technological advancements.

Overview of High-Performance Computing And It’s Current Trend in India

This is an era of High-Performance Computing abbreviated as HPC. HPC evolved due to increase in demand of Processing speed. It is a hybrid technology that continuously changes its colors, so it is hard to define it in static words. However, if we still persist to define it the effort leads to a definition as below – “HPC is a branch of computer science that concentrates on combining the power of computing devices, networking infrastructure and storage systems using parallel hardware, networking and software technology that utilizes human expertise to gain optimized and sustained performance for solving scientific, engineering, big data and research problems including grand challenges like computer modeling, simulations and analysis of data.

Fortifying SNEDDS with Hybrid Technologies: Present and Future Prospects

Self-nano-emulsifying drug delivery systems (SNEDDS) have gained attention in recent years as an effective approach for improving the solubility and oral bioavailability of poorly water-soluble drugs. However, there have been reports of drawbacks such as low drug loading, limited stability and variability in absorption. Various technologies have been investigated in conjunction with SNEDDS to alleviate such issues such as polymers being used to improve stability and drug loading; phospholipid complexes used to improve absorption and reduce inter and intrasubject variability; SNEDDS for drug targeting improves the targeting of drugs to specific site reducing the dosage required for action. 3D printing is used to create personalized and precise dosages; supersaturated SNEDDS is used to increase drug concentration; and solid SNEDDS are used to improve storage stability and patient compliance. The amalgamation of SNEDDS with these technologies has demonstrated promising results with regard to the improvement of medication delivery and has control over SNEDDS limitations. The present review elucidates the application of blended technologies with SNEDDS and the future potential for such drug delivery.

Hybrid and Electric Vehicle (EV) integration in public transport: Challenges and opportunities

As cities worldwide grapple with the dual challenges of increasing urbanization and climate change, the integration of hybrid and electric vehicles (EVs) into public transport systems emerges as a critical solution. This article examines the multifaceted challenges and opportunities associated with adopting hybrid and EV technologies for buses and coaches. Key challenges include the high initial costs, the need for robust infrastructure, and concerns regarding vehicle reliability. Conversely, the transition offers significant benefits, such as substantial emissions reductions, improved operational efficiency, and enhanced public perception of sustainable practices. Through an evaluation of successful case studies from cities like London, Amsterdam, and Shenzhen, this article highlights effective strategies and outcomes achieved in the realm of public transport electrification. Ultimately, the findings underscore the necessity for collaborative efforts among stakeholders to drive the successful integration of hybrid and EV technologies, paving the way for a more sustainable urban mobility future.

The Use of Hybrid Technology for Power Quality Improvements in Grid-Connected PV Systems

In recent trends, photo-voltaic (PV) is mostly build upon competitive technological development of power quality (PQ) issues. In this article, a hybrid control strategy is implemented with multi-level inverter (MLI) to improve PQ features. As a result, the combination of these controllers with suitable level of MLI could improve the PQ features in a significant way.

Study on Supply Chain Rearrangement to Improve Supply Chain Performance of Sambal Sauce in Company X Case Study using the Enterprise Architecture Design method that utilizes Industrial Revolution 4.0 Technology based on Hybrid Technology

Company X is a large enough producer of Sambal Sauce to supply Meatball traders in Indonesia. Many problems in this supply chain include the occurrence of unhealthy competition between internal networks, both between agents and other networks that intersect between supply regions, market prices are not uniform, the availability of field products is not maintained, the uncertainty of delivery from the previous supply from the Supply Chain, high Debts and Receivables from Distributors, the certainty of product delivery to the Supply Chain from Producers, The certainty and stability of the delivery of Sambal Sauce Raw Materials to the Factory, unstable quality of raw materials, and many other problems. Of course, this needs to be fixed immediately, considering that it will be a turning point for product returns if this problem continues. The following is a deeper study of what and why this happens, how to solve the problem, and concrete efforts to solve the problem analytically using the Enterprise Architecture Design method by utilizing Hybrid Technology-based Industrial Revolution 4.0 Technology.

Industrial Testing of a Hybrid Technology for Water Purification from the Oka River Using the Method of Charcoalization with Powdered Sorbent

The development of the industrial sector and the increase in production capacity have a positive effect on the economic situation of the country, but not on environmental safety. Insufficiently purified and polluted wastewater is constantly discharged into water sources, the amount of which directly depends on the industrial development of the region. Thus, the anthropogenic load on the Oka River affects the composition of water in the source, there are often bursts of instantaneous emissions, as well as the flowering of phytoplankton in the summer. The latter further significantly reduce the efficiency of water purification to drinking quality. Therefore, the development of technologies that will be able to maintain purification at the required level is an urgent task. The article presents the method of charcoalization, which allows to neutralize pollution in a short time and improve the water treatment quality. An industrial experiment of the developed technology was carried out at an operating water treatment plant with testing of two extreme do-sages of sorption material. The optimal dose of coal pulp was determined, the impact on significant purification performance was described, and the technological solutions have been developed to determine the point of coal pulp input and the dosage multiplicity. The conducted research has made it possible to expand knowledge in the field of drinking water preparation and to determine significant water parameters that are affected by the sorption purification method.

Fabrication of black metal surface for high solar energy absorption by femtosecond laser hybrid technology.

Metals are crucial for solar energy applications, but their highly reflective surfaces limit solar energy absorption. The difficulty in manufacturing an ideal light-absorbing structure limits the incorporation of anti-reflective characteristics in metals. In this study, a femtosecond laser method was introduced to form micro-nano structures in metals, enhancing absorption by the application of silver nanoparticles and resulting in solar absorption rates of 97.2%, 98.3%, and 98.9% for aluminum, titanium, and steel, respectively. The solar reflectance was reduced by 82.3%, 62.6%, and 79.2%, respectively, compared to bare metal. Photothermal conversion and deicing tests verified a more efficient photothermal conversion ability in the composite micro-nanostructure surface. Compared to bare metal, the structure has more than twice the solar absorption efficiency and improves the deicing efficiency by 132%. The resultant material exhibits high photothermal conversion and deicing efficiencies, enhancing its potential for solar energy applications, particularly in photothermal, photovoltaic, and thermal solar technologies.

Genetic variability, diversity and principal component analysis in B and R lines of rabi sorghum [Sorghum bicolor (L.) Moench

Hybrid technology is exploited in kharif (rainy) sorghum while the same is not the scenario in Rabi sorghum which is still dominated by landraces and varieties which have poor yield potentiality. Considering the necessity of development of heterotic hybrids, an attempt was made to screen hybrid parents (B and R lines) to assess variability and genetic diversity, for productivity traits. The study was conducted with 32 B and R lines at Regional Agricultural Research Station, Vijayapur during 2021-22. PCV was observed to surpass GCV across all traits. The traits grain yield per plant, fodder yield per plant, grain number per plant, and harvest index exhibited notably high PCV and GCV. Plant height, panicle length, panicle harvest index, and harvest index recorded high heritability and genetic advance, suggesting their control by additive gene action and potential for improvement via selection. Cluster analysis classified the 32 genotypes into four groups. PCA condensed 14 traits into five principal components, capturing 81.50% of total variation. The genotypes remained scattered in all four quadrants in PCA- Biplot, showing large genetic variability in quantitative traits studied. Keywords: Genetic variability, heritability, diversity, clusters, PCA and rabi sorghum

Fundamentals of simultaneous machining and coating (SMaC) through combination of extreme high-speed laser material deposition (EHLA) and turning

Simultaneous machining and coating (SMaC) is a novel hybrid technology developed by the Fraunhofer Institute for Laser Technology ILT that combines additive manufacturing through extreme high-speed laser material deposition (EHLA) with a simultaneously engaged turning process. In the present work, the parallelization of the two subprocesses is successfully demonstrated. For the first time, systematic investigations into the influence of residual heat from the deposition process on the machining process and the properties of the resulting coating, respectively, are conducted. The study specifically examines geometric deviations, surface roughness, and tool wear. One of the main parameters affecting the residual heat introduced into the turning process is the distance between the tool center points of the EHLA deposition head and the turning tool Δz. This parameter is identified as a primary factor influencing the dimensional accuracy of the coating geometry. The results show that SMaC not only offers potential for increasing the productivity of the process chain but also has a positive effect on the service life of the cutting tools involved, potentially improving the workability of hard coating materials. Improvements in terms of the attainable surface roughness are also observed. These investigations provide a basis for research into further aspects of the SMaC process, such as adaptive tool path control methods to enhance dimensional accuracy and the influence of induced compressive stresses in processing highly brittle coating materials.

Exploring acid mine drainage treatment through adsorption: a bibliometric analysis.

Discharge of acidic wastewater from mining activities (acid mine drainage (AMD)) is a major global environmental and public health issue. Although several approaches, including chemical precipitation and membrane technology, have been developed to treat AMD, adsorption has emerged as the most promising technology due to its cost-effectiveness and efficacy. Despite the wide adoption of adsorption in treating AMD, the evolution of research in this area remains poorly understood. To address this gap, a bibliometric analysis of the most recent literature involving the application of adsorption in AMD remediation was conducted by merging datasets of articles from Scopus (1127) and the Web of Science Core Collection (1422), over the past decade (2013-2022). This analysis revealed a yearly increase of 11% in research publications, primarily contributed by China, the United States, and South Africa. Keyword analysis revealed that natural schwertmannites and their transformations, activated carbon, zeolites, and clay minerals, are the most extensively employed adsorbents for the removal of common metals (arsenic, chromium, iron, manganese, among others). The findings underscore the need for future focuses on recovering rare earth elements, using nanoparticles and modified materials, pursuing low-cost, sustainable solutions, integrating hybrid technologies, pilot-scale studies, exploring circular economic applications of AMD sludges, and inter-continental collaborations. These insights hold significant future implications, serving as a valuable reference to stakeholders in the mining industry.

Optimizing the Transition: Strategies for Migrating On-Premise Storage to the Cloud

In recent years, Cloud Computing has had great relevance and has aroused interest in the Telecommunications industry, due to the reduction of costs in hardware acquisition, maintenance and operation personnel. One of the great advantages of cloud computing is the automation of processes that makes systems more robust and secure by limiting the margin of human and operational errors. It is of utmost importance to consider the large storage capacity management of video files that can provide solutions to media companies or related industries, this is key to think about a cost benefit analysis that can generate the migration and rental of these services in the cloud, with more reliable and accessible systems, this will help us to study hybrid technologies that offer on premise solutions. In addition to the above, when talking about companies that seek to digitally transform themselves to achieve agility and resilience, as well as to support future applications, it is necessary to mention their current infrastructures that have the capacity to host new technologies that require high performance, security and an adequate digital interconnection that allows the correct access to the acquired applications. In this research, an analysis of the existing process models for migration from on-premise storage to the cloud has been made with the objective of identifying the most important challenges, from planning, execution, factors to consider when assessing the complexity of applications and data before migrating to the cloud.