Integrated chaos generators

This paper surveys the different design issues, from mathematical model to silicon, involved on the design of integrated circuits for the generation of chaotic behavior.Comisión Interministerial de Ciencia y Tecnología 1FD97-1611(TIC)European Commission ESPRIT 3110

Design of Power Optimized circuit of LC Voltage Controlled Oscillator for use in GSM Handsets

The recent performance requirements for mobile phones have been extending its area of interest. Handsets need to have high resolution graphics, pictures, and applications. Consequently, the requirement for a longer battery life has become a bare necessity. This makes optimization of power a critical issue. Along with this cell phones need to be thin and have light weight. A major portion of the power consumption of the handsets can be attributed to the LC oscillators used in the system. A Voltage Controlled Oscillator plays an important role in any communication system. It provides the frequency signal for down-conversion of input signals and also the carrier signals for the modulating signal. Proper amplitude and low phase noise are two important criteria to achieve suitable performance for a VCO in any transceiver system. The strong combination of low phase noise specifications with very low power consumption (battery operation) forces designers to use LC-VCOs. A great research effort has been done in the design of integrated voltage controlled oscillators (VCOs) using integrated or external resonators, but as their power consumption still cannot be unacceptable, today’s mobile phones commonly use external LC-VCO modules. Inductors used in these oscillators are usually bulky and have high power consumption. The low power LC oscillator increases the standby time, thus improving the battery life. Extended battery life provides processing power at lower clock speeds, enabling low leakage process that optimizes power consumption and increases battery time. Also provides integrated and sophisticated systems with improved power management. The main purpose of this project is to design a circuit for LC VCO to be used in GSM system with a tuning rage of 3-4GHz. Since the phase noise requirement for the system is less than 150dBc/Hz at 20 KHz offset. Also for a GSM system, the size of the inductor used in the oscillator is a major issue in determining its overall size, efforts will be made to optimize the size of the inductor as well

Reconfigurable Architectures and Systems for IoT Applications

abstract: Internet of Things (IoT) has become a popular topic in industry over the recent years, which describes an ecosystem of internet-connected devices or things that enrich the everyday life by improving our productivity and efficiency. The primary components of the IoT ecosystem are hardware, software and services. While the software and services of IoT system focus on data collection and processing to make decisions, the underlying hardware is responsible for sensing the information, preprocess and transmit it to the servers. Since the IoT ecosystem is still in infancy, there is a great need for rapid prototyping platforms that would help accelerate the hardware design process. However, depending on the target IoT application, different sensors are required to sense the signals such as heart-rate, temperature, pressure, acceleration, etc., and there is a great need for reconfigurable platforms that can prototype different sensor interfacing circuits. This thesis primarily focuses on two important hardware aspects of an IoT system: (a) an FPAA based reconfigurable sensing front-end system and (b) an FPGA based reconfigurable processing system. To enable reconfiguration capability for any sensor type, Programmable ANalog Device Array (PANDA), a transistor-level analog reconfigurable platform is proposed. CAD tools required for implementation of front-end circuits on the platform are also developed. To demonstrate the capability of the platform on silicon, a small-scale array of 24×25 PANDA cells is fabricated in 65nm technology. Several analog circuit building blocks including amplifiers, bias circuits and filters are prototyped on the platform, which demonstrates the effectiveness of the platform for rapid prototyping IoT sensor interfaces. IoT systems typically use machine learning algorithms that run on the servers to process the data in order to make decisions. Recently, embedded processors are being used to preprocess the data at the energy-constrained sensor node or at IoT gateway, which saves considerable energy for transmission and bandwidth. Using conventional CPU based systems for implementing the machine learning algorithms is not energy-efficient. Hence an FPGA based hardware accelerator is proposed and an optimization methodology is developed to maximize throughput of any convolutional neural network (CNN) based machine learning algorithm on a resource-constrained FPGA.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201

Analog and Neuromorphic computing with a framework on a reconfigurable platform

The objective of the research is to demonstrate energy-efficient computing on a configurable platform, the Field Programmable Analog Array (FPAA), by leveraging analog strengths, along with a framework, to enable real-time systems on hardware. By taking inspiration from biology, fundamental blocks of neurons and synapses are built, understanding the computational advantages of such neural structures. To enable this computation and scale up from these modules, it is important to have an infrastructure that adapts by taking care of non-ideal effects like mismatches and variations, which commonly plague analog implementations. Programmability, through the presence of floating gates, helps to reduce these variations, thereby ultimately paving the path to take physical approaches to build larger systems in a holistic manner.Ph.D

A study on coarse-grained placement and routing for low-power FPGA architecture

制度:新 ; 報告番号:甲3603号 ; 学位の種類:博士(工学) ; 授与年月日:2012/3/15 ; 早大学位記番号:新595

Design of a Multi-sensor and Re-configurable Smart Node for the IoT

The rapid deployment of the Internet of Things (IoT) is much dependent on the capacity of the IoT node to be able to self-adapt to the target application. With the increase of sensor networks and diversity of sensors available and with the increasing integration of multiple sensors in a sensor node, it is necessary to develop systems capable of handling all of these sensors with high level of flexibility. These may have different characteristics that provide quite distinct interface requirements, thus giving rise to the need for systems with re-configurable properties. With the implementation of sensor networks in places where energy supply is limited or non-existent, and in situations where technician intervention is expensive, there is a need to exchange conventional energy sources by methods of storage and harvesting of the energy present in the environment, where the sensor node is used (autonomous and renewable energy sources). This thesis will focus on the study and implementation of a family of re-configurable and multi-sensor IoT nodes with special emphasis on the energy storage and power management. It will also focus on the develop of a CAD tool in order to help in the design of CMOS circuits, for the purpose of integrating all the strategies here presented