The AI based blockchain system proposed in this paper targets at providing realtime fraud detection in the financial services overcoming the drawbacks of conventional fraud identification approaches. The proposed sol...
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This paper introduces a comprehensive methodology for denoising audio datasets through the utilization of the U-shaped neural network (U-Net) architecture, leading to notable enhancements in audio signal quality acros...
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Operating System forms an integral part of any device with computing capabilities. They form a layer between the hardware and software which helps the software to better utilize the hardware by performing many tasks l...
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Docker and Kubernetes have recently dominated the whole cloud-native technology ecosystem and speeded up the containerization process of workflows. By optimizing the task scheduling order, workflow scheduling algorith...
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It is common to place wind turbines over smooth hills to exploit the speed up effect resulting from the hill slope. On the other hand, another way to increase the power output of small turbines consists in the adoptio...
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Critical embedded software, such as spacecraft flight software, requires high reliability, efficiency, and real-time performance while being capable enough to meet application needs. The increasing prevalence of Linux...
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The ubiquity of embedded devices is apparent. The desire for increased functionality and connectivity drives ever larger software stacks, with components from multiple vendors and entities. These stacks should be repl...
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ISBN:
(纸本)9798400703294
The ubiquity of embedded devices is apparent. The desire for increased functionality and connectivity drives ever larger software stacks, with components from multiple vendors and entities. These stacks should be replete with isolation and memory safety technologies, but existing solutions impinge upon development, unit cost, power, scalability, and/or real-time constraints, limiting their adoption and production-grade deployments. As memory safety vulnerabilities mount, the situation is clearly not tenable and a new approach is needed. To slake this need, we present a novel adaptation of the CHERI capability architecture, co-designed with a green-field, securitycentric RTOS. It is scaled for embeddedsystems, is capable of fine-grained software compartmentalization, and provides affordances for full inter-compartment memory safety. We highlight central design decisions and offloads and summarize how our prototype RTOS uses these to enable memory-safe, compartmentalized applications. Unlike many state-of-the-art schemes, our solution deterministically (not probabilistically) eliminates memory safety vulnerabilities while maintaining source-level compatibility. We characterize the power, performance, and area microarchitectural impacts, run microbenchmarks of key facilities, and exhibit the practicality of an end-to-end IoT application. The implementation shows that full memory safety for compartmentalized embeddedsystems is achievable without violating resource constraints or realtime guarantees, and that hardware assists need not be expensive, intrusive, or power-hungry.
Wi-Fi Sensor Networks (WSNs) have emerged as a transformative era for several applications, from environmental monitoring to protection systems, due to improvements in wi-fi verbal exchange and sensor technologies. Th...
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The Fast Fourier Transform (FFT) is a common signal processing operation used in frequency estimation, a technique that has many applications in a wide range of fields including radar, LiDAR, sonar, medical sciences, ...
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ISBN:
(数字)9798350380903
ISBN:
(纸本)9798350380910
The Fast Fourier Transform (FFT) is a common signal processing operation used in frequency estimation, a technique that has many applications in a wide range of fields including radar, LiDAR, sonar, medical sciences, telecommunications, and metrology. However, in real-timeapplications, computational intensity often imposes restrictions on frequency resolution, and consequently introducing spectral errors. To address this limitation, the frequency resolution of FFT can be refined for enhanced accuracy by unwrapping the phase information of the frequency component, while maintaining the required FFT points and sampling rate. This paper presents an analysis of diverse windowing techniques, showcasing the potential enhancement of FFT spectral accuracy, particularly for precision-centric measurements. The proposed method is adaptable for deployment in both programmable and non-programmable real-timesystems, including embeddedsystems and Field-Programmable Gate Arrays (FPGAs).
Translating code-mixed Indian languages, where more than two languages are blended in a single sentence, poses significant difficulties and challenges in translation systems. Given the wide variety of languages in Ind...
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