2016 IEEE 25th Asian Test Symposium
Author | : |
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Total Pages | : |
Release | : 2016 |
Genre | : |
ISBN | : 9781509038091 |
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Author | : |
Publisher | : |
Total Pages | : |
Release | : 2016 |
Genre | : |
ISBN | : 9781509038091 |
Author | : IEEE Staff |
Publisher | : |
Total Pages | : |
Release | : 2016-11-21 |
Genre | : |
ISBN | : 9781509038107 |
The Asian Test Symposium (ATS) provides an international forum for engineers and researchers from all countries of the world, especially from Asia, to present and discuss various aspects of device, board and system testing with design, manufacturing and field considerations in mind
Author | : Brajesh Kumar Kaushik |
Publisher | : Springer |
Total Pages | : 820 |
Release | : 2017-12-21 |
Genre | : Computers |
ISBN | : 9811074704 |
This book constitutes the refereed proceedings of the 21st International Symposium on VLSI Design and Test, VDAT 2017, held in Roorkee, India, in June/July 2017. The 48 full papers presented together with 27 short papers were carefully reviewed and selected from 246 submissions. The papers were organized in topical sections named: digital design; analog/mixed signal; VLSI testing; devices and technology; VLSI architectures; emerging technologies and memory; system design; low power design and test; RF circuits; architecture and CAD; and design verification.
Author | : Patrick Girard |
Publisher | : Springer Nature |
Total Pages | : 320 |
Release | : 2023-03-13 |
Genre | : Technology & Engineering |
ISBN | : 3031196392 |
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
Author | : Swarup Bhunia |
Publisher | : Springer |
Total Pages | : 383 |
Release | : 2017-11-29 |
Genre | : Technology & Engineering |
ISBN | : 3319685112 |
This book, for the first time, provides comprehensive coverage on malicious modification of electronic hardware, also known as, hardware Trojan attacks, highlighting the evolution of the threat, different attack modalities, the challenges, and diverse array of defense approaches. It debunks the myths associated with hardware Trojan attacks and presents practical attack space in the scope of current business models and practices. It covers the threat of hardware Trojan attacks for all attack surfaces; presents attack models, types and scenarios; discusses trust metrics; presents different forms of protection approaches – both proactive and reactive; provides insight on current industrial practices; and finally, describes emerging attack modes, defenses and future research pathways.
Author | : Lejla Batina |
Publisher | : Springer Nature |
Total Pages | : 365 |
Release | : 2022-04-07 |
Genre | : Computers |
ISBN | : 3030987957 |
AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised.
Author | : Xinfei Guo |
Publisher | : Springer |
Total Pages | : 208 |
Release | : 2019-06-12 |
Genre | : Technology & Engineering |
ISBN | : 3030200515 |
This book describes methods to address wearout/aging degradations in electronic chips and systems, caused by several physical mechanisms at the device level. The authors introduce a novel technique called accelerated active self-healing, which fixes wearout issues by enabling accelerated recovery. Coverage includes recovery theory, experimental results, implementations and applications, across multiple nodes ranging from planar, FD-SOI to FinFET, based on both foundry provided models and predictive models. Presents novel techniques, tested with experiments on real hardware; Discusses circuit and system level wearout recovery implementations, many of these designs are portable and friendly to the standard design flow; Provides circuit-architecture-system infrastructures that enable the accelerated self-healing for future resilient systems; Discusses wearout issues at both transistor and interconnect level, providing solutions that apply to both; Includes coverage of resilient aspects of emerging applications such as IoT.
Author | : George A. Tsihrintzis |
Publisher | : Springer |
Total Pages | : 548 |
Release | : 2019-07-06 |
Genre | : Technology & Engineering |
ISBN | : 3030156281 |
This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.
Author | : Srinivas Katkoori |
Publisher | : Springer Nature |
Total Pages | : 397 |
Release | : 2022-02-08 |
Genre | : Technology & Engineering |
ISBN | : 3030788415 |
This book presents state-of-the-art research results from leading electronic design automation (EDA) researchers on automated approaches for generating cyber-secure, smart hardware. The authors first provide brief background on high-level synthesis principles and motivate the need for secure design during behavioral synthesis. Then they provide readers with synthesis techniques for six automated security solutions, namely, hardware obfuscation, hardware Trojan detection, IP watermarking, state encoding, side channel attack resistance, and information flow tracking. Provides a single-source reference to behavioral synthesis for hardware security; Describes automatic synthesis techniques for algorithmic obfuscation, using code transformations; Includes behavioral synthesis techniques for intellectual property protection.
Author | : Anil Kumar Sagar |
Publisher | : CRC Press |
Total Pages | : 333 |
Release | : 2023-03-16 |
Genre | : Computers |
ISBN | : 1000845486 |
Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today’s business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data. IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter. Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.