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The purpose of this analysis is to determine how well the Resnet and GoogLeNet models detect IT worker stress. Materials and Methods : Using Resnet and Innovative Googlenet, two machine learning algorithms, we can estimate the stress levels of IT workers. Group 1 has 15 samples from Googlenet, while Group 2 contains 15 samples from Resnet. We have thirty participants in our sample. A clinic calc tool was used to conduct the pretest power analysis. The following parameters were used: alpha=0.05, G-power=0.80, last beta=0.2, and CI=95%. Results: The unique Googlenet and Resnet approaches were used to estimate IT staff stress levels, with a 93.62% and 91.15% accuracy rate, respectively. Independent samples t-tests reveal a statistically significant disparity in accuracy between the two algorithms, with a value of 0.001 (p<0.05). Conclusion:For precise stress level prediction among IT staff, the groundbreaking Googlenet architecture has been a watershed moment in AI. Its increased accuracy and reliability in mental health evaluations are a direct result of its outperformance of the Resnet model. [ABSTRACT FROM AUTHOR]

Ducted propellers have been used in a wide range of sectors because of their enclosed design, which increases aerodynamic efficiency. This review investigates their important role in a variety of applications. Their enclosed structure reduces tip losses, boosts thrust efficiency, and lowers noise emissions, all of which contribute to a noticeable increase in aerodynamic performance. Because of their increased safety, efficacy, and compactness, these propellers are commonly used in VTOL aircraft, UAS, and UAVs. They have found a niche in urban air mobility, meeting the needs of modern transportation, thanks to their improved adjustability and lower noise profile. Ducted propellers have advanced beyond the aviation industry, particularly in marine propulsion, where they excel at maximizing thrust while minimizing cavitations. Their ability to adapt to different aquatic environments is demonstrated by their versatility in marine vessels as well as underwater vehicles. Furthermore, ducted propellers benefit the agricultural industry in precision agriculture by managing airflow and reducing noise during activities like crop spraying and observation. Design and material advancements have also made it easier to integrate them into industrial ventilation systems, increasing airflow efficiency and lowering noise levels in industrial environments. This synopsis focuses on the various applications of ducted propellers in industry, agriculture, marine, and aviation. Their ability to improve aerodynamic performance and design adaptability drives innovation in these industries. [ABSTRACT FROM AUTHOR]

The importance of retaining wall is when the excavation depth is large from the ground level. It is even more threatening when the water table is present at a shallow depth. Hence a numerical analysis is preferable before commencing the work, to ensure the stability of the wall. A super-structure with 12 floors and 2 levels of the basement is proposed. The basement excavation is done by providing a secant pile as a retaining structure. For the given soil profile, a numerical analysis is performed. The displacement, shear force, bending moment and safety factor is studied. It is observed that the displacement increases with an increase in the depth of excavation due to a reduction in passive pressure and shear force. The depth of maximum bending occurred at a depth of 1.25 times the depth of excavation. The major advantage of doing the analysis is to ensure the safety factor; here the safety factor is well within the safe limit. [ABSTRACT FROM AUTHOR]

This paper presents a study on a novel axial flow swirler concept for gas turbine engines, which plays a crucial role in achieving desired air motion patterns with swirl. The main objective of this research is to enhance turbulence generation in the combustion chamber at the primary zone, and for this purpose, two swirler models were developed and investigated. The first swirler model is with a flat blade design without an airfoil, while the second model includes a curved blade with an airfoil factor, allowing for the variation of flow patterns. To estimate the flow recirculation induced by these two swirler designs, computational fluid dynamics simulations were carried out using Ansys Fluent. The simulations were regulated within restricted domains to accurately observe the flow behaviour. The analysis mainly focused on comparing and examining the contours created by the flat blade and curved blade swirler models. By analysing the results, it was feasible to identify the swirler design that displayed better flow recirculation. This observation is specifically significant as it directly contributes in reduction of NOx emissions in gas turbine engines. [ABSTRACT FROM AUTHOR]

Greenhouses are specialized structures which take advantage of the controlled environment within the structure and with various cultivation techniques to grow crops for better yields. The common parameters of all new techniques are balancing nutrient solutions, water irrigation, and environmental conditions. This research paper proposes a cost-efficient nutrient management system for soilless culture. ESP01 chipset is used to collect data from the farm and transmit it over Message Queuing Telemetry Transport (MQTT). Raspberry Pi receives the MQTT data, processes it according to created Fuzzy Interference System (FIS), and transmits it to the NodeMCU chipset via MQTT. NodeMCU on the receiver side is interfaced with solenoid valves of Nutrient solutions A, B, and water. Also, a motor or air sprayer is connected to NodeMCU for delivering the required solution to the plant. The ratio for mixing the solution is controlled by the solenoid open/close duration. Real-time data of this process can be viewed in the Blynk app. The proposed cost-efficient nutrient management system for soilless culture aims to solve agriculture problem in this modern age. The proposed model uses automation and control systems to provide enhanced performance in real time. The system can be implemented for soilless cultures such as substrate, hydroponics, and aeroponics based on user needs. [ABSTRACT FROM AUTHOR]

Cotton is a cash crop that employs over 60 million people and is known as the "King of the Textile Industry." However, the primary disease affecting cotton leaves is a nutrient imbalance, which can result in symptoms include a yellow appearance to the leaves, where the veins stay green. The leaves can turn red, purple, or bronze, and there can be leaf deaths (necrosis). These problems happen when nutrients cannot move around the plant. These symptoms can reduce the quality and quantity of the product. The background of images is cleaned to address this issue. Pre-processed images are then employed using Fuzzy C-Means (FCM) and Lattice Boltzmann Method (LBM) algorithms to distinguish between healthy and nutrient-deficient leaves. The images in the dataset were created by inducing deficiency in hydroponic cotton plants. The contours for deficient leaves have been detected. This technique will revolutionize and shift from prophylactic fertilizer application to a need-based technique in cotton farming. [ABSTRACT FROM AUTHOR]

Sand casting is one of the most prominent processes for shaping metals into the requisite shapes and sizes in regular periods. Green Sand, Sodium Silicate, and Resin Sand are the most generally utilized sand grades. One of these base sands is blended with other substances in good propositions in the mixer unit and is filled into the hopper unit with the assistance of conveying mechanism where they are filled into the molds. Physical laborers are employed to monitor the work and the processes that are currently in use. To decrease the constant monitoring and the health hazards faced by the workers during exposure to sand, that can be automated with the help of pneumatic gating systems and level detection sensors in hoppers to fill the container units. The IR sensor helps determine the level of sand that should be filled in every container while the pneumatic gates guide the sand from conveyor lines to the hopper. Hence, this paper intends to design and fabricate an automated sand depositing system for the sand casting process thereby reducing the burden of the laborers and improving process efficiency. [ABSTRACT FROM AUTHOR]

Today's Environmental condition attracts every researcher to address the issues causing problems in it. One such issue is waste plastics in solid waste disposal, due to its non-degradable nature and long shelf life. Replacement for these plastics is quite difficult in the era in which everything depends on it due to its unique properties. Instead of avoiding it, one must work towards its proper utilization and finding solution for the already produced "one time use" plastics. Many works has been carried out to solve waste plastic reduction from disposal such as Methanolysis, Hydrolysis, Glycolysis, Gasification and Pyrolysis. Among these except pyrolysis all other process need homogeneous and complex condition for operation. Pyrolysis gaining importance as it is converting waste plastics into value added product like, light oil, gasoline and fuel grade hydrocarbon by heating the plastics in absence of air in defined condition. These hydrocarbon obtained can be directly used in energy sector as alternative fuel to meet the requirement. To improve the quality and quantity of yield obtained by pyrolysis process, many catalysts were used. Some of them are acid catalysts, HZSM-5, HY and Hb-zeolite-based catalysts, the solid super acid catalysts ZrO2/SO4, and Pt-stabilized ZrO2/SO4, ECat-1, Aluminum oxide γ-Al2O3. These catalysts reduce the problem associated with thermal pyrolysis like high temperature and high reaction time but are difficult to maintain due to large amount of carbon deposition andis economically not feasible to use in industrial scale. Current work is focusing on using alumina-silicates composition catalyst like montmorillonite clays for converting waste plastics into fuel grade hydrocarbon. These catalysts are low cost and effective in liquid conversion of waste plastics. In this paper, the process of converting waste Low Density Polyethylene (LDPE) and Polypropylene (PP) using Na-Montmorillonite clay catalyst at 400-440 °C into diesel grade oil with 60-70% yield is discussed. Theseresults were compared with fuel sample obtained using zeolite catalyst. [ABSTRACT FROM AUTHOR]