Biomedical Microelectromechanical Systems (BioMEMS) serve as a crucial catalyst in enhancing IoT communication security and safeguarding smart healthcare systems. Situated at the nexus of advanced technology and healthcare, BioMEMS are instrumental in pioneering personalized diagnostics, monitoring, and therapeutic applications. Nonetheless, this integration brings forth a complex array of security and privacy challenges intrinsic to IoT communications within smart healthcare ecosystems, demanding comprehensive scrutiny. In this manuscript, we embark on an extensive analysis of the intricate security terrain associated with IoT communications in the realm of BioMEMS, addressing a spectrum of vulnerabilities that spans cyber threats, data manipulation, and interception of communications. The integration of real-world case studies serves to illuminate the direct repercussions of security breaches within smart healthcare systems, highlighting the imperative to safeguard both patient safety and the integrity of medical data. We delve into a suite of security solutions, encompassing rigorous authentication processes, data encryption, designs resistant to attacks, and continuous monitoring mechanisms, all tailored to fortify BioMEMS in the face of ever-evolving threats within smart healthcare environments. Furthermore, the paper underscores the vital role of ethical and regulatory considerations, emphasizing the need to uphold patient autonomy, ensure the confidentiality of data, and maintain equitable access to healthcare in the context of IoT communication security. Looking forward, we explore the impending landscape of BioMEMS security as it intertwines with emerging technologies such as AI-driven diagnostics, quantum computing, and genomic integration, anticipating potential challenges and strategizing for the future. In doing so, this paper highlights the paramount importance of adopting an integrated approach that seamlessly blends technological innovation, ethical foresight, and collaborative ingenuity, thereby steering BioMEMS towards a secure and resilient future within smart healthcare systems, in the ambit of IoT communication security and protection.

Coordinate Rotation DIgital Computer (CORDIC) rotator is a well known and widely used algorithm within computers due to its way of carrying out some calculations such as trigonometric functions, among others. A scale factor compensation inherent to the CORDIC algorithm becomes an important drawback when trying to improve its benefits, although some authors have come up with a new scaling-free version, which has been successfully implemented within wireless applications. However, this new CORDIC can still be significantly improved by modifying some of its parts, therefore, this paper shows an enhanced version of the scaling-free CORDIC. These new enhancements have been implemented and tested, obtaining some new architectures which are able to reach a 35% lower latency and a 36% reduction in area and power consumption compared to the original scaling-free architecture.

The use of generative AI chatbots in formative assessment can effectively gauge learning progress, increase the academic performance of students compared to a traditional methodology, and raise student awareness about the tradeoffs of employing generative AI in their work.

Most field programmable gate array (FPGA) devices have a special fast carry propagation logic intended to optimize addition operations. The redundant adders do not easily fit into this specialized carry-logic and, consequently, they require double hardware resources than carry propagate adders, while showing a similar delay for small size operands. Therefore, carry-save adders are not usually implemented on FPGA devices, although they are very useful in ASIC implementations. In this paper we study efficient implementations of carry-save adders on FPGA devices, taking advantage of the specialized carry-logic. We show that it is possible to implement redundant adders with a hardware cost close to that of a carry propagate adder. Specifically, for 16 bits and bigger wordlengths, redundant adders are clearly faster and have an area requirement similar to carry propagate adders. Among all the redundant adders studied, the 4:2 compressor is the fastest one, presents the best exploitation of the logic resources within FPGA slices and the easiest way to adapt classical algorithms to efficiently fit FPGA resources.