The massive expansion of social media and the rapid growth in multimedia content on it has resulted in a growing interest in visual content analysis and classification. There are now a good number of studies that focus on identifying hateful and offensive content in social media posts. The social media content is often analyzed through automated algorithmic approaches, with respect to being unsuitable or harmful for different groups such as women and children. There is, however, a noticeable gap in the exploration of positive content, particularly in the case of multimodal content such as GIFs. Therefore, the present work attempted to address this gap by introducing a high-quality annotated dataset of animated GIFs. The dataset provides for two subtasks: 1) subtask 1 involves binary classification, determining whether a GIF provides emotional support; and 2) subtask 2 involves multiclass classification, wherein the GIFs are categorized into three different emotional support categories. The data annotation quality is assessed using Fleiss' kappa. Various unimodal models, utilizing text-only and image-only approaches, are implemented. Additionally, an effective multimodal approach is proposed that combines visual and textual information for detecting emotional support in animated GIFs. Both sequence and frame-level visual features are extracted from animated GIFs and utilized for classification tasks. The proposed multimodal long-term spatiotemporal model employs a weighted late fusion technique. The results obtained show that the proposed multimodal model outperformed the implemented unimodal models for both subtasks. The proposed LTST model achieved a weighted F1-score of 0.8304 and 0.7180 for subtask 1 and subtask 2, respectively. The experimental work and analysis confirm the suitability of the dataset and proposed algorithmic model for the task.

Two-level rectifiers are commonly utilized in electrical systems, particularly for low power ratings, owing to their inherent limitations at medium and high power levels. Operating at medium and high power ratings presents challenges, such as the need for high-rated switches, increased total harmonic distortion (THD), and increased costs. In this paper, a three-level T-type neutral point clamped (TNPC) rectifier is modeled and analyzed for medium power rating. Circuit description, mathematical modeling, and proportional-integral (PI) based controllers are implemented to control grid current and DC-link voltage dynamics effectively, thereby ensuring efficient active power transfer to the load. Additionally, MATLAB simulations are conducted for a power rating of 80 kW. Furthermore, the performance of the converter is validated through controller hardware-in-loop (C-HIL) using the advanced Typhoon HIL 402 platform. The results, including lower THD in grid current and unity power factor at the grid side, highlight the effectiveness of the control strategy for the TNPC rectifier.

This paper focuses on the closed-loop control of a three-level bidirectional DC-DC converter (TL-BDC), specifically designed for charging and discharging batteries in various applications involving electric vehicles (EVs), renewable energy systems (RES), and uninterruptible power supplies (UPS). This research shows a comprehensive study, commencing with state space analysis to grasp the details of the system dynamics. Subsequently, The study moves on to the simulations of TL-BDC using MATLAB Simulink. In this phase, proportional-integral (PI) control mechanisms manage the converter’s operations. Also, simulation results for the parallel operation of TL-BDC are presented. Moreover, controller hardware-in-loop (C-HIL) simulations are performed using the advanced Typhoon HIL 402 platform to validate the efficacy and real-world applicability of the proposed control strategies.

High voltage gain converters are popular in DC microgrids due to limited output voltage of renewable sources. In this paper, high gain quadratic converter is discussed using active switched network (ASN) on low voltage side. The clamp circuit is placed in such a way as to increase the output voltage. The working principle, device stress, and design guidelines are discussed here. In adiition, MATLAB based simulation is carried for 36/400 V and 400 W converter as per the theoretical operating modes. Moreover, a voltage control loop-based PI controller is designed to improve converter stability under source and load side disturbances. Finally, a scaled down version of 225 W proposed converter is developed and tested to validate the theoretical results.