Global environmental variations in the past two decades have contributed to a significant deviation of classic ecological patterns, leading to severe electricity outages triggered by extreme weather-driven phenomena. This has highlighted an urgent need for enhancing the resilience and robustness of the interconnected electricity grid against such High Impact Low Probability (HILP) incidents. From the electrical safety point of view, it is essential to increase the operators' awareness on a better understanding of such hazards and grid vulnerabilities, and enhance their preparedness on how to respond or mitigate the probable outages. This paper proposes a temporary, yet agile, restoration strategy in response to the forecasted HILP events, founded based on efficient utilization of the grid existing infrastructure, and aimed at improving its resilience against such extreme emergencies. The applied concept of reconfiguration is proactively planned to recover the electricity outages in a timely manner. In the meantime, two sets of metrics are proposed to quantify both the grid operational and infrastructure resilience. The presented framework aids the system operator to evaluate the outage recovery plans considering their impacts on system resilience and decide on the final implementation. The proposed approach is applied to the IEEE 118-bus test system facing an HILP event, where results reveal its applicability and efficiency.

The objective of this work is to design and implement an Image and Video Processing Platform (IVPP) on FGPAs using PICO based HLS. This hardware/software codesign platform has been implemented on a Xilinx Virtex-5 FPGA. The video interface blocks are done in RTL and the initialization phase is done using a MicroBlaze processor allowing the support of multiple video resolutions. This paper discusses the architectural building blocks showing the flexibility of the proposed platform. This flexibility is achieved by using a new design flow based on PICO. IVPP allows custom-processing blocks to be plugged-in to the platform architecture without modifying the front-end (capturing video data) and back-end (displaying processed output). This paper presents several examples of video processing applications, such as a Canny edge detector, motion detector and object tracking that have been realized using IVPP for real-time video processing.

Quantum teleportation is one of basis study of quantum computing algorithms mostly used in quantum communication. This algorithm has so far been implemented usi Quantum teleportation is one of basis study of quantum computing algorithms mostly used in quantum communication. This algorithm has so far been implemented usi

LoRaWAN holds immense potential in smart applications for its low-power, long-range communication capabilities and in-built AES-128 encryption for end-to-end security. However, prior research has identified critical security vulnerabilities, most notably its use of AES-128 encryption in ECB mode, which lacks semantic security. Sertainty UXP (Unbreakable Exchange Protocol) technology enhances AES by embedding intelligence directly into the data. Sertainty Corporation’s UXP encryption employs AES-256-GCM, which offers authenticated encryption with integrated access control and policy enforcement at the data level, making it a promising candidate for securing sensitive IoT data. The objective of this study is to evaluate whether Sertainty UXP can operate effectively within the strict payload and performance constraints of LoRaWAN. To benchmark performance and overhead, several encryption algorithms, including AES-256-GCM, ASCON-128, SPECK, and XTEA, were implemented for comparison. For experimentation, smart meter data is encrypted with these algorithms and transmitted over LoRaWAN using the LoRa-E5 development board by Seeed Studio. The system’s performance is evaluated based on latency, payload size, and message integrity. Payloads are strategically split into LoRaWAN-compatible chunks and reassembled upon reception to meet network constraints. The results show that integrating UXP encryption within LoRaWAN is technically feasible, though it introduces additional overhead and latency. Despite this, the ability to embed robust encryption and controls directly within the data object offers significant potential to enhance end-to-end IoT security. The research concludes that Sertainty UXP can offer a viable and forward-looking solution for securing resource-constrained networks, provided implementation strategies carefully manage the trade-offs between security strength and transmission efficiency.