Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure. This paper explores the damage detection method based on the ant colony algorithm (ACO) by using Hooke-Jeeves (HJ) pattern search for intensification. The HJ is incorporated into the ACO to improve its performance in detecting damages. The damage is simulated by reducing the stiffness of the structural members, via elastic modulus reduction factor. Four civil engineering structures of varying complexity are analysed for low-and high-level damage scenarios to test the efficacy of the proposed approach. An inverse problem is formulated to minimise the objective function based on the frequency response function rather than using the frequency and mode-shape-based approach. The analysis results indicate that the proposed method can locate damages and identify their severity with higher precision than previously used GA, SPSO, and UPSO can.

Software is a consequential asset because concrete software is needed in virtually every industry, in every business, and for every function. It becomes more paramount as time goes on – if something breaks within your application portfolio and expeditious, efficient, and efficacious fine-tune needs to transpire as anon as possible. Therefore, recognizing the faults in the early phase of the software development lifecycle is essential for both, diminishing the cost in terms of efforts and money Similarly, It is important to find out features which could be redundant or features which are highly correlated with each other, as it could largely affect the model’s learning process. This analysis refers to the use of crossover Artificial Neural Network (ANN) and Binary Particle Swarm Optimization (BPSO) with Binary Cross-Entropy (BCE) loss for the fitness function. The conclusion of proposed paper is to provide the significance and opportunity of using Binary Cross-Entropy (BCE) in Binary Particle Swarm Optimization (BPSO) for the feature reduction process in order to minimize the developer’s effort and costs for software development as well as for its maintenance.

No abstract

This paper summarizes the final project of undergraduate student of the faculty of Mechanical Engineering at the DTU, New Delhi, India. The project’s aim is to design, build, test and fly a solar powered Unmanned Aerial Vehicle. Integrating solar energy into modern aircraft technology has been a topic of interest and has received a lot of attention from researchers over the last two decades. A few among the many potential applications of this technology are the possibility of continuous self-sustained flight for purposes such as information relay, surveillance and monitoring. The use of UAS is increasing rapidly due to the reduced production and operating cost compared to the large conventional aircraft.

No abstract