Synthetic polymer nanoparticles (NPs) with biomimetic properties are ideally suited for different biomedical applications such as drug delivery and direct therapy. However, bulk synthetic approaches can suffer from po...
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Diagnosability is an important parameter to measure the fault tolerance of a multiprocessor system. If we only care about the state of a node, instead of doing the global diagnosis, Hsu and Tan proposed the idea of lo...
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Fast drumming presents a speed challenge to many robotic arms. To simultaneously meet the needs for speed, stroke, and force, we proposed and tested a new double-saddle dielectric elastomer actuator (DEA) as the artif...
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We demonstrate a wide temperature range and high thermal sensitivity radiometry image sensor by using a 32x32 pixels SPAD imager sensor with a time gated active reset circuit. The temperature range with upper limit of...
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Antiferromagnet (AFM) has currently participated in the spin-orbit torque (SOT) magnetoresistive random access memory (MRAM) technolopgy due to its great potential to be applied to the field-free SOT switching and pro...
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A high-performance indium tin oxide (ITO) coating is key in fabricating an efficient photosensor. The manufacturing process of ITO is complex and time-consuming. Therefore, establishing a production technology that is...
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Sasirangan cloth is one of the traditional cloths owned by Indonesia and is a typical cloth originating from the province of South Kalimantan. This Sasirangan cloth has many motifs and is unique. Sasirangan cloth is a...
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Study on the exchange bias (Hex) switching in a ferromagnet (FM)/antiferromagnet (AFM) bilayer driven by the spin-orbit torque (SOT) has been an explicit research field and current focus has been devoted to determinin...
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Introduction: The purpose of this study is to present a novel approach for gait assessment called gait proficiency index (GPI) using only ground reaction forces (GRF)-derived parameters. Material and methods: Barefoot...
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Artificial Intelligence (AI) and electric vehicles EVs are revolutionizing the future of transportation, automation, and connectivity. The integration of AI in EV technology heralds a transformative era in transportat...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
Artificial Intelligence (AI) and electric vehicles EVs are revolutionizing the future of transportation, automation, and connectivity. The integration of AI in EV technology heralds a transformative era in transportation, characterized by enhanced efficiency, autonomy, and user experience. However, as AI-powered EVs become increasingly prevalent, critical security and privacy challenges emerge that necessitate comprehensive scrutiny. This paper explores the future aspects of security and privacy in AI-powered EVs, highlighting potential vulnerabilities and the implications of data exploitation. Key areas of focus include the cybersecurity threats posed by interconnected vehicle networks, the safeguarding of personal data from unauthorized access, and the development of robust encryption methods to protect vehicular communication systems. Additionally, the paper examines regulatory frameworks and industry standards essential for ensuring the secure deployment of AI in EVs. By addressing these concerns, the research aims to provide a holistic understanding of the measures required to fortify the security and privacy of AI-driven electric vehicles, ultimately contributing to developing a safe and trustworthy transportation ecosystem.
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