89 research outputs found
Fuzzy Logic
The capability of Fuzzy Logic in the development of emerging technologies is introduced in this book. The book consists of sixteen chapters showing various applications in the field of Bioinformatics, Health, Security, Communications, Transportations, Financial Management, Energy and Environment Systems. This book is a major reference source for all those concerned with applied intelligent systems. The intended readers are researchers, engineers, medical practitioners, and graduate students interested in fuzzy logic systems
Health State Estimation
Life's most valuable asset is health. Continuously understanding the state of
our health and modeling how it evolves is essential if we wish to improve it.
Given the opportunity that people live with more data about their life today
than any other time in history, the challenge rests in interweaving this data
with the growing body of knowledge to compute and model the health state of an
individual continually. This dissertation presents an approach to build a
personal model and dynamically estimate the health state of an individual by
fusing multi-modal data and domain knowledge. The system is stitched together
from four essential abstraction elements: 1. the events in our life, 2. the
layers of our biological systems (from molecular to an organism), 3. the
functional utilities that arise from biological underpinnings, and 4. how we
interact with these utilities in the reality of daily life. Connecting these
four elements via graph network blocks forms the backbone by which we
instantiate a digital twin of an individual. Edges and nodes in this graph
structure are then regularly updated with learning techniques as data is
continuously digested. Experiments demonstrate the use of dense and
heterogeneous real-world data from a variety of personal and environmental
sensors to monitor individual cardiovascular health state. State estimation and
individual modeling is the fundamental basis to depart from disease-oriented
approaches to a total health continuum paradigm. Precision in predicting health
requires understanding state trajectory. By encasing this estimation within a
navigational approach, a systematic guidance framework can plan actions to
transition a current state towards a desired one. This work concludes by
presenting this framework of combining the health state and personal graph
model to perpetually plan and assist us in living life towards our goals.Comment: Ph.D. Dissertation @ University of California, Irvin
Design for prognostics and security in field programmable gate arrays (FPGAs).
There is an evolutionary progression of Field Programmable Gate Arrays (FPGAs)
toward more complex and high power density architectures such as Systems-on-
Chip (SoC) and Adaptive Compute Acceleration Platforms (ACAP). Primarily, this is
attributable to the continual transistor miniaturisation and more innovative and
efficient IC manufacturing processes. Concurrently, degradation mechanism of Bias
Temperature Instability (BTI) has become more pronounced with respect to its
ageing impact. It could weaken the reliability of VLSI devices, FPGAs in particular
due to their run-time reconfigurability. At the same time, vulnerability of FPGAs to
device-level attacks in the increasing cyber and hardware threat environment is also
quadrupling as the susceptible reliability realm opens door for the rogue elements to
intervene. Insertion of highly stealthy and malicious circuitry, called hardware
Trojans, in FPGAs is one of such malicious interventions. On the one hand where
such attacks/interventions adversely affect the security ambit of these devices, they
also undermine their reliability substantially. Hitherto, the security and reliability are
treated as two separate entities impacting the FPGA health. This has resulted in
fragmented solutions that do not reflect the true state of the FPGA operational and
functional readiness, thereby making them even more prone to hardware attacks.
The recent episodes of Spectre and Meltdown vulnerabilities are some of the key
examples. This research addresses these concerns by adopting an integrated
approach and investigating the FPGA security and reliability as two inter-dependent
entities with an additional dimension of health estimation/ prognostics. The design
and implementation of a small footprint frequency and threshold voltage-shift
detection sensor, a novel hardware Trojan, and an online transistor dynamic scaling
circuitry present a viable FPGA security scheme that helps build a strong
microarchitectural level defence against unscrupulous hardware attacks. Augmented
with an efficient Kernel-based learning technique for FPGA health
estimation/prognostics, the optimal integrated solution proves to be more
dependable and trustworthy than the prevalent disjointed approach.Samie, Mohammad (Associate)PhD in Transport System
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