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Titlebook: Emerging Technology and Architecture for Big-data Analytics; Anupam Chattopadhyay,Chip Hong Chang,Hao Yu Book 2017 Springer International

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New Solutions for Cross-Layer System-Level and High-Level Synthesisf big data and advanced data analytics that can effectively gather, analyze, generate insights about the data, and perform decision making. Data analytics allows analysis and optimization of massive datasets: deep analysis has led to advancements in business operations optimization, natural language
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Side Channel Attacks and Their Low Overhead Countermeasures on Residue Number System Multipliersblic-key cryptography. In this work, we examine the secure performance of RNS under side channel attacks, expose the vulnerabilities, and propose countermeasures accordingly. The proposed methods improve the resistance against side channel attacks without great area overhead or loss of speed perform
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Adaptive Dynamic Range Compression for Improving Envelope-Based Speech Perception: Implications for e to biological constraints, a compression scheme is required to adjust the wide dynamic range (DR) of input signals to a desirable level. Static envelope compression (SEC) is a well-known strategy used in CI speech processing, where a fixed compression ratio is adopted to narrow the envelope DR. Mo
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In-Memory Data Compression Using ReRAMstion of communication bandwidth and eventually helps to refine the data to provide information and knowledge. Given the growth of sensors and connected devices, the role of compression in data management is growing in importance steadily. Following the earliest computing abstractions, data is transf
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Big Data Management in Neural Implants: The Neuromorphic Approachuroprostheses. The tight power constraints of these systems prevent wireless data transmission of thousands of channels of neural activity. Hence extracting information from the raw data and transmitting just the compressed information is necessary for future implants. This chapter explores several
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