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Solar photovoltaic systems are being widely used in green energy harvesting recently. At the same rate of growth, the modules that come to the end of life are growing fast. The solar modules contain heavy metals such as lead, tin, and cadmium, which could pollute the environment. Inspection and maintenance of solar modules are important to increase the lifetime, reduce energy loss, and environmental protection. In this research, we proposed an efficient way for inspection and classification of anomaly solar modules using infrared radiation (IR) cameras and deep neural networks. The IR cameras could capture the temperature distribution on the solar modules remotely, and the deep neural networks could accurately prediction of the anomaly modules and classification of the anomaly types... |
This study adopts the bibliometric approach to identify the key characteristics in the relationship of demographic factors (age, gender, affiliations, and locations), scientific productivity, and the collaboration among development economics researchers in Vietnam during the period 2008–2020. Overall, the number of publications and authors in development economics are rising steeply with the average annual growth rate of nearly 23% and 26%, respectively. Moreover, the ‘quality’ of the research appears to be high as 59% of the articles are published in journals in the first and second quartile according Scimago journal ranking. However, the citation counts for these studies indicate their impacts are far more languishing in comparison. In terms of research trends, this study identifi... |
This short article represents the first attempt to define a new core cultural value that will enable engaging the business sector in humankind’s mission to heal nature. First, I start with defining the problem of the current business culture and the extant thinking on how to solve environmental problems, which I called “the eco-deficit culture.” Then, I present a solution to this problem by formulating the “semiconducting principle” of monetary and environmental values exchange, which I believe can generate “an eco-surplus business culture.” This work adds one new element, the eleventh cultural value, to the ten core values of progressive cultures postulated by Harrison (2000). |
People counting plays a crucial role in various sensing applications such as in smart cities and shopping malls. In this paper, we propose a data-driven solution that uses a low power ultra-wideband impulse (UWB) radar to count the number of random walking people in an indoor space. A pre-processing signal processing method is applied to clean clutter signals from UWB radar. Instead of the conventional counting methods, which manually extract features and learned from effective data patterns, we investigated deep convolutional neural networks (CNNs) that automatically learn from the data to count the number of people in an indoor space. The CNN model could accurately predict up to 97% accuracy for up to 10 people random walking in an area of 5 × 5 m. The different settings of the CN... |
Adopting unmanned aerial vehicles (UAV), also known as drones, into the last-mile-delivery sector and having them work alongside trucks with the aim of improving service quality and reducing the transportation cost gives rise to a new class of Vehicle Routing Problems (VRPs). In this paper, we introduce a new optimization problem called the min-cost Parallel Drone Scheduling Vehicle Routing Problem (PDSVRP). This problem is a variant of the well-known Parallel Drone Scheduling Traveling Salesman Problem (PDSTSP) recently introduced in the literature in which we allow multiple trucks and consider the objective of minimizing the total transportation costs. We formulate the problem as a Mixed Integer Linear Program and then develop a Ruin and Recreate () algorithm. Exploiting PDSVRP so... |
Vietnam is a fast-growing economy with a population of more than 100 million peo-ple. Along with the stable development of the country’s economy, a mindset focusing |
In this work, Ag@ZnO and Ag@ZnO/MgAC photocatalysts were synthesized using a simple two-step electrochemical method by the addition of magnesium aminoclay (MgAC) as a great stabilizer and a Lewis base, which could donate electrons for reduction of Ag+ and Zn2+ ions, facilitating uniform formation as well as effective inhibition of aggregation of Ag@ZnO nanoparticles (NPs) on the MgAC matrix. Ag@ZnO and Ag@ZnO/MgAC were investigated for photocatalytic degradation of MB and their antibacterial efficiencies. Ag@ZnO/MgAC showed excellent photocatalytic MB degradation with a performance of 98.56% after 80 min of visible-light irradiation and good antibacterial activity against Salmonella (Sal) and Staphylococcus aureus (S. aureus) bacterial strains, providing promising high application p... |
Droplets resulting from liquid filament contraction have been widely used in industrial processes. However, detailed investigations of liquid compound filament contraction processes are lacking in the literature. Therefore, this study provides a numerical investigation of the contraction of a two-layered compound filament. The simulations are based on an axisymmetric front-tracking method. It is found that because of the interfacial tension force, the initially long cylindrical filament contracts to a compound droplet without any breakup or breaks up into smaller droplets during contraction. Unlike simple filaments, the presence of the inner filament inside the compound filament results in a more complicated compound filament breakup process with various droplet types, e.g., simple ... |
GldL is an inner-membrane protein that is essential for the function of the type IX secretion system (T9SS) in Flavobacterium johnsoniae. The complex that it forms with GldM is supposed to act as a new rotary motor involved in the gliding motility of the bacterium. In the context of structural studies of GldL to gain information on the assembly and function of the T9SS, two camelid nanobodies were selected, produced and purified. Their interaction with the cytoplasmic domain of GldL was characterized and their crystal structures were solved. These nanobodies will be used as crystallization chaperones to help in the crystallization of the cytoplasmic domain of GldL and could also help to solve the structure of the complex using molecular replacement. |
Ultrasound viscoelastography is a quantitative and convenient imaging model that images soft tissues based on shear waves’ propagation. Thanks to the interaction between ultrasonic waves and shear waves, the physical features of soft tissues (elasticity, viscosity) are expressed by complex shear modulus (CSM) parameters, useful information for diagnosing tissue medical states. Therefore, this paper presented a new efficient approach to estimate CSM and reconstruct the viscoelastic images. |
