Detection of car parking space by using Hybrid Deep DenseNet Optimization algorithm

Internet of Things (IoT) and related applications have revolutionized most of our societal activities, enhancing the quality of human life. This study presents an IoT-based model that enables optimized parking space utilization. The paper implements a Hybrid Deep DenseNet Optimization (HDDNO) algorithm for predicting parking spot availability involving Machine Learning (ML) and deep learning techniques. The HDDNO-based ML model uses secondary data from the National Research Council Park (CNRPark) in Pisa, Italy. Different regression algorithms are employed to forecast parking lot availability for a given time as part of the prediction process. The DenseNet technique has generated promising results, whereas the HDDNO model yielded better accuracy. The use of five optimizers, namely, Adaptive Moment Estimation (Adam), Root Mean Squared Propagation (RMSprop), Adaptive Gradient (AdaGrad), AdaDelta, and Stochastic Gradient Descent (SGD), have played significant roles in minimizing the loss of the model. The part of Adam has enabled the HDDNO model to generate predictions with high accuracy 99.19% and low loss 0.0306%. This proposed methodology would significantly improve environmental safety and act as an initiative toward developing smart cities.     

Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis

In this paper, an effective approach, Taguchi grey relational analysis, has been applied to experimental results of wire cut electrical discharge machining (WEDM) on Inconel 825 with consideration of multiple response measures. The approach combines the orthogonal array design of experiment with grey relational analysis. The main objective of this study is to obtain improved material removal rate, surface roughness, and spark gap. Grey relational theory is adopted to determine the best process parameters that optimize the response measures. The experiment has been done by using Taguchi’s orthogonal array L36 (2¹?×?3⁷). Each experiment was conducted under different conditions of input parameters. The response table and the grey relational grade for each level of the machining parameters have been established. From 36 experiments, the best combination of parameters was found. The experimental results confirm that the proposed method in this study effectively improves the machining performance of WEDM process.     

Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal

Wireless Networks - Integrated process planning and scheduling in networked manufacturing systems plays a crucial role nowadays and in the forthcoming context of Industry 4.0 to enable effective...     

Derivative-based band clustering and multi-agent PSO optimization for optimal band selection of hyper-spectral images

The Journal of Supercomputing - Images (HSIs) are popular in diversified applications, such as geosciences, biomedical imaging, molecular biology, agriculture, astronomy, food quality and safety...     

Controlled Synthesis of the Henry Reaction Products: Nitroalcohol Versus Nitrostyrene by a Simple Change of Amino-Groups of Aminofunctionalized Nanoporous Catalysts

A synthetic method for controlling the Henry reaction products from nitrostyrene to nitroalcohol in heterogeneous catalysis by a simple change of the catalytic sites in organoamine-functionalized mesoporous catalysts is reported. The synthesis resulted in either β-nitrostyrene or β-nitroalcohol by simple change of the types of amine functional groups in the amine-functionalized mesoporous catalysts from primary amines into secondary or tertiary.     

The telemetry system

This paper describes the telemetry system employed inAryabhata. The telemetry link provides a means for monitoring diagnostic and other parameters for efficient and controlled operation of the satellite besides transmitting data pertaining to the three scientific experiments. The design specifications and details, qualification tests and in-orbit performance of the telemetry system are also described in this paper.     

Regionalization of rainfall--runoff processes in rice agriculture dominated watersheds.

An approach for computing the instantaneous unit hydrograph of rice agriculture dominated watesheds is proposed using the topology and hydraulic charcterstics of its stream network and the hydrologic behaviour of the rice agriculture area. The effect of rice agriculture on the watershed response is considered as partial sink areas. The sink factor, a time-variant weight factor for a particular storm event, is computed from the daily water balanace equation of the rice field. The critcal features of the simulated instantaneous unit hydrographs in three gauged watersheds located in the river Mahanadi, India were then compared with that of the observed 24-hr unit hydrograph. The comparison shows a significant correlation between the two results.     

Water adsorption and desorption isotherms of silica and alumina mesoporous molecular sieves

Mesoporous molecular sieves of silica, and alumina, and porous materials of titania, zirconia, and niobia were synthesized by cationic and/or neutral templating methods. These porous materials were characterized by powder X-ray diffraction, transmission electron microscopy, N₂ adsorption-desorption isotherms and water adsorption-desorption isotherms. Mesoporous molecular sieves of silica with surface areas of 956 and 1072 m²/g and of alumina with surface area of 407 m²/g were synthesized. The Ti₁ Zr and Nb oxide porous materials, however, showed smaller surface areas of 258, 178, and 77 m²/g, respectively, after calcination at 300°C and exhibited only small peaks for mesopores as determined by the pore-size. distributions.Water adsorption-desorption isotherms of silica and alumina mesoporous molecular sieves showed Type V (weak interaction) and Type IV isotherms, respectively. The property of sudden filling of mesopores in theP/P ₀ range of 0.45 to 0.55 in silica mesoporous molecular sieves with well-defined hysteresis during desorption, can be used in the design of humidity sensors. The titania, zirconia and niobia porous materials showed Type I water adsorption-desorption isotherms which suggests that these are mainly microporous. These results suggest that water adsorption-desorption isotherms provide valuable information about mesoporous molecular sieves for their potential use as humidity sensors.     

Temperature-programmed desorption vs. N2 desorption in determining pore-size distribution of mesoporous silica molecular sieves

Two mesoporous silica molecular sieves, one synthesized by cationic template method and another by neutral template route, were characterized for their pore-size distribution by a novel Temperature-Programmed Desorption (TPD) method and the widely used N₂ desorption method. The pore-size distributions determined by the two methods agree quite well and are within experimental errors. For example, TPD method gave a pore size distribution (radius) centered at 14 Å while N₂ desorption method showed a peak centered at 13.3 Å. for the mesoporous silica prepared by cationic template route. The new TPD method based on thermogravimetric analysis is a viable option for mesopore characterization of silica-based materials.