Wake characteristics of a balloon wind turbine and aerodynamic analysis of its balloon using a large eddy simulation and actuator disk model

In the realm of novel technologies for generating electricity from renewable resources, an emerging category of wind energy converters called airborne wind energy systems (AWESs) has gained prominence. These pioneering systems employ tethered wings or aircraft that operate at higher atmospheric layers, enabling them to harness wind speeds surpassing conventional wind turbines' capabilities. The balloon wind turbine is one type of AWESs that utilizes the buoyancy effect to elevate the turbine to altitudes typically ranging from 400 to 1000 m. In this paper, the wake characteristics and aerodynamics of a balloon wind turbine were numerically investigated for different wind scenarios. Large eddy simulation, along with the actuator disk model, was employed to predict the wake behavior of the turbine. To improve the accuracy of the simulation results, a structured grid was generated and refined by using an algorithm to resolve about 80 % of the local turbulent kinetic energy in the wake. Results contributed to designing an optimized layout of wind farms and stability analysis of such systems. The capabilities of the hybrid large eddy simulation and actuator disk model (LES–ADM) when using the mesh generation algorithm were evaluated against the experimental data on a smaller wind turbine. The assessment revealed a good agreement between numerical and experimental results. While a weakened rotor wake was observed at the distance of 22.5 diameters downstream of the balloon turbine, the balloon wake disappeared at about 0.6 of that distance in all the wind scenarios. Vortices generated by the rotor and balloon started to merge at the tilt angle of 10∘, which intensified the turbulence intensity at 10 diameters downstream of the turbine for the wind speeds of 7 and 10 m s−1. By increasing the tilt angle, the lift force on the wings experienced a sharper increase with respect to that of the whole balloon, which signified a controlling system requirement for balancing such an extra lift force.</p

A Survey on Deep Learning in Medical Image Analysis

Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks and provide concise overviews of studies per application area. Open challenges and directions for future research are discussed.Comment: Revised survey includes expanded discussion section and reworked introductory section on common deep architectures. Added missed papers from before Feb 1st 201

Survey on possibility of broodstocking from wild P. monodon in Chabahar region

In last decade the policy of shrimp culture development changes to an important economic and social pole in country. This industry need to research and innovation. The P. monodon is the biggest and largest shrimp (prawn) as known shrimp. This reason says that the culture of P. monodon is more benefit. This shrimp has reported from Guatr Gulf, Pasabandar and Bris costal area of Chabahar region. After catching around 100 pieces of P. monodon in 1999 by fishermen of mentioned area, we decided to write down a project to survey on possibility of broodstok for P. monodon in 2001. In this order we start trolling in Guatr Gulf, Pasabandar and Bris and studied the presence of monodon. During trolling we did not receive sufficient shrimp because of inconveniencing them by trolling net. This less number caused that we could not breed the P. monodons

Sprinkler irrigation-pesticide best management systems

The relative reduction in potential groundwater contamination due to pesticides at several sites in Utah was determined by comparing alternative irrigation system designs, water management practices, and pesticides. Alternative sprinkler irrigation distribution coefficients were used to estimate irrigation application depths. The movement of pesticides through soils following sprinkler irrigations was simulated with a one-dimensional model. Pesticide contamination of groundwater can be reduced by careful selection of pesticides, using properly designed irrigation systems, and improved water management techniques. Procedures for selecting an appropriate sprinkler system design and pesticide are presented. KEYWORDS. Pesticides, Leaching, Sprinkler irrigation, Irrigation depth, Irrigation system design, Soil, Water management

Effect of using various amounts of patin (Pangasianodon hypophthalmus) fish oil on physical and chemical properties of moisturizing hand cream

Hand cream is used for rehydrating and improving skin properties. The skin is the first point of contact with the environment. Thus having healthy skin with proper barrier properties is quite important. The beneficial effects of fish oil on skin make it a favorable ingredient to be used in hand care products. In the present study, the efficacy and stability of various hand cream formulations using 0, 1.0, 2.5 and 5.0% of fish oil were investigated and compared. The appearance, odor, texture, and pH of formulations containing 1 and 2.5% of fish oil remained stable in very good qualities during the storage, whereas the related values to the appearance and texture of formulation containing 5.0% of fish oil at the end of 6 months of storage at 45°C were significantly (p<0.05) lower than other formulations and previous evaluations of this formulation. Weight loss was not observed in all formulations under study

The influence of environmental parameters on fish larval distribution and abundance in the mangrove estuarine area of Marudu Bay, Sabah, Malaysia

The aim of this study was to estimate the influence of selected environmental parameters on the fish larval distribution and abundance between October 2012 and September 2013 in the Mangrove estuarine area of Marudu bay, Sabah, Malaysia. Fish larvae samples were collected monthly using plankton net of 350 m of mesh size with a mouth opening of 40.5 cm in diameter through 20 min surface tows. Five different stations were chosen in this study. In total 3,879 larvae, belonging to 20 families were recorded, with a mean abundance of 118 larvae per 100 m3 . Among 20 families, top four families such as Sillaginidae (44%), Engraulidae (14%), Mugilidae (12%) and Sparidae (10%) occurred consistently around the year in the study areas. Sillaginidae was the most abundant larval fish families. In situ environmental parameters such as water temperature, dissolved oxygen (DO), salinity, pH and conductivity were recorded during the sampling times. Significant variations were found in the environmental parameters among the five stations except DO and pH (p < 0.05). It is revealed that mainly four families (centriscidae, Engraulidae, Mugilidae, and Sillaginidae) were significantly influenced by the abiotic factors. Of the environmental parameters recorded, salinity appeared to be the main factor affecting the distribution and abundance of Mugilidae families. Overall, regression analysis test indicated a weak overall correlation between larval assemblage and environmental parameters in the estuary of Marudu Bay