Current Issue : April-June Volume : 2025 Issue Number : 2 Articles : 5 Articles
Aiming at working out more accurate pollutant degradation coefficient of the deep tunnel system, this work puts forward a novel optimized algorithm to calibrate such coefficient and compare it with the ordinary fitting method. This algorithm incorporates the outlier filtration mechanism and the gradient descent mechanism to improve its performance, and the calibration result is substituted into storm water management model (SWMM) source codes to validate its effectiveness between simulated and observed data. COD, NH3-N, TN and TP are chosen as pollutant indicators of the observed data, and the RMSE, MSE and ME are selected as indicators to present the efficiency. The results show that the outlier filtration mechanism obtains better performance than fitting method, with the gradient descent mechanism nearly reduces 92.42% of the iterative amounts and improves 55 times of the computation efficiency than the ordinary iterative method, such algorithm is expected to function better with substantial observed data....
The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation study assesses the performance of the NBMCPA under varying sample sizes and locations of true change points. Various performance metrics are calculated based on the change point estimates and used to assess how well the model correctly identifies change points. Errors in estimation of change points are obtained as absolute deviations of known change points from the change points estimated under the algorithm. Algorithm robustness is evaluated through error analysis and visualization techniques including kernel density estimation and computation of metrics such as change point location accuracy, precision, sensitivity and false positive rate. The results show that the model consistently detects change points that are present and does not erroneously detect changes where there are none. Change point location accuracy and precision of the NBMCPA increases with sample size, with best results for medium and large samples. Further model accuracy and precision are highest for changes located in the middle of the dataset compared to changes located in the periphery....
Solar energy is also a major renewable energy source that is clean and can be sustained at a minimum cost. CSP systems are another highly developed solar energy system that is environmentally friendly and can be installed with simple technology and rational cost. PV solar panels generate electric power when sunlight exists. Similarly, CSP system also generates electric power for immediate consumption when there is sunlight, but it also stores some of the solar energy as heat to be able to continue generating electric power when the weather is cloudy or during the night. In this study, an algorithm and software for effective heliostat were developed. Six districts were selected in Adana province to design and calculate solar power received by heliostat mirrors and delivered to the heat exchanger on top of the tower. Because a solar tracking mechanism is necessary for correct and instant orientation of mirrors, the developed software can calculate the orientation angles of each mirror at any moment of a day of the year. The algorithm also calculates the power received by PV solar panels with fixed orientation and with the same surface area as those of mirrors to compare the energy yields....
In this paper, a hybrid optimization method utilizing a pseudo-random algorithm and convex optimization is proposed to avoid grating lobe and achieve lower side lobe level (SLL) of a planar sparse array when the minimum inter-element distance is one wavelength. The pseudorandom algorithm is utilized to distribute the positions of elements. The convex algorithm is utilized to optimize the excitations of elements. The results show that a planar sparse array with no grating lobe and peak side lobe level (PSLL) of −17 dB can be obtained with a minimum inter-element distance of one wavelength, which indicates the effectiveness of the hybrid optimization method. In addition, beam steering can be achieved within an 80◦ field of view range....
The implementation of automated systems that meet the desired functional specifications requires scientifically proven modelling and design tools. The achievement of an automated computing system that meets the set criteria and technical specifications depends on several factors. These include the accuracy and the accuracy of the choice of modelling and design tools, the degree to which they are appropriate and adaptable to the application domain, the nature and setting of the application domain, the functional requirements and the available resources, to name but a few. This paper aims to extend the ontological basis of Petri nets by proposing an iterative algorithm for incidence matrix construction. The paper concludes with a discussion of the results focusing on the accuracy of the designed algorithm and its usability in the implementation of functional, reliable and robust automated systems....
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