Challenges in FPGA Technology Paradigm for the Implementation of IoT Applications

Modern World ◽

Human Beings ◽

Clock Gating ◽

Gate Arrays ◽

Iot Applications ◽

Field Programmable ◽

User Data ◽

Internet of things (IoT) is a recent technology, and it will become the next generation of internet that connects several physical objects to interact amongst themselves without the assistance of human beings. It plays a significant role in our day-to-day lives and is used in several applications. IoT is a boon to this modern world, but it lacks in security. It cannot protect the user data from assailants, hackers, and vulnerabilities. Field programmable gate arrays (FPGA) helps to achieve all these objectives by incorporating secured end-to-end layer into its architecture. In this chapter, ultralow power and reduced area AES architecture with energy efficient DSE-S box techniques and clock gating for IoT applications are introduced. The proposed AES architecture is implemented over different FPGA families such as Cyclone I, Cyclone II, Virtex 5, and Kintex 7, respectively. From the experimental results, it is observed that the Kintex 7 FPGA kit consumes less power than other FPGA families.

Lightweight signature scheme to protect intellectual properties of Internet of things applications in system on chip field-programmable gate arrays

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-1811-97 ◽

2019 ◽

Vol 27 (5) ◽

pp. 3500-3515

Author(s):

Kokila JAGADEESH ◽

Ramasubramanian NATARAJAN

Keyword(s):

Internet Of Things ◽

System On Chip ◽

Signature Scheme ◽

Gate Arrays ◽

Field Programmable ◽

Programmable Gate Arrays ◽

On Chip ◽

Intellectual Properties

Biometric sensors rapid prototyping on field-programmable gate arrays

The Knowledge Engineering Review ◽

10.1017/s0269888914000307 ◽

2015 ◽

Vol 30 (2) ◽

pp. 201-219 ◽

Cited By ~ 4

Author(s):

Vincenzo Conti ◽

Carmelo Militello ◽

Filippo Sorbello ◽

Salvatore Vitabile

Keyword(s):

Large Scale ◽

User Authentication ◽

Biometric Authentication ◽

Sensor Performance ◽

Gate Arrays ◽

Field Programmable ◽

User Data ◽

Programmable Gate Arrays ◽

Recognition Systems

AbstractBiometric user authentication in large-scale distributed systems involves passive scanners and networked workstations and databases for user data acquisition, processing, and encryption. Unfortunately, traditional biometric authentication systems are prone to several attacks, such as Replay Attacks, Communication Attacks, and Database Attacks. Embedded biometric sensors overcome security limits of conventional software recognition systems, hiding its common attack points. The availability of mature reconfigurable hardware technology, such as field-programmable gate arrays, allows the developers to design and prototype the whole embedded biometric sensors. In this work, two strong and invasive biometric traits, such as fingerprint and iris, have been considered, analyzed, and combined in unimodal and multimodal biometric sensors. Biometric sensor performance has been evaluated using the well-known FVC2002, CASIA, and BATH databases.

Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287739 ◽

2021 ◽

Author(s):

Niccolo Nicodemo ◽

Gaurav Naithani ◽

Konstantinos Drossos ◽

Tuomas Virtanen ◽

Roberto Saletti

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Memory Requirement ◽

Gate Arrays ◽

Field Programmable ◽

Optically Programmable Field Programmable Gate Arrays (FPGA) Systems

10.21236/ada421336 ◽

2004 ◽

Author(s):

Jose Mumbru ◽

George Panotopoulos ◽

Demetri Psaltis

Keyword(s):

Gate Arrays ◽

Field Programmable ◽

Field-Programmable Gate Arrays: Architecture and Tools for Rapid Prototyping

10.1007/3-540-57091-8 ◽

1993 ◽

Keyword(s):

Rapid Prototyping ◽

Gate Arrays ◽

Field Programmable ◽

FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽

10.3390/en14082108 ◽

2021 ◽

Vol 14 (8) ◽

pp. 2108

Author(s):

Mohamed Yassine Allani ◽

Jamel Riahi ◽

Silvano Vergura ◽

Abdelkader Mami

Keyword(s):

Fuzzy Logic ◽

Hybrid System ◽

High Voltage ◽

Energy System ◽

Maximum Power ◽

Hybrid Energy ◽

Gate Arrays ◽

Field Programmable ◽

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.