http://repository.iiitd.edu.in/xmlui/handle/123456789/291 2026-04-10T20:14:23Z http://repository.iiitd.edu.in/xmlui/handle/123456789/384 XMAT: A 6T XOR-MAT based 2R-1W SRAM for high bandwidth network applications Kaur, Ramandeep; Fell, Alexander (Advisor) System on Chips (SoC) targeted for high performance network applications such as Internet routers, require low latency memories combined with large storage capacities to maintain high throughputs and fast packet forwarding capabilities. To meet these demands, Dual Port SRAM (DP-SRAM) consisting of 8 transistors (T), are integrated into the SoC. However in contrast to 6T Single Port SRAMs (SP-SRAM), DP-SRAMs suffer from a limited performance, large area consumption, read-write instabilities and constraints regarding the memory capacity. In this paper an SP-SRAM based memory architecture is proposed which is able to execute two reads, one write or alternatively one read and one write within a clock cycle by combining a dedicated memory bank for XOR calculations with a Memory Association Table (MAT). In comparison to DP-SRAM the new design shows an improvement of 21%, 11% and 5% in access time, cycle time and power reduction for a 20% chance of contention respectively for a memory capable of storing 1024 words of 64 bit depth each. 2015-12-17T10:25:54Z http://repository.iiitd.edu.in/xmlui/handle/123456789/383 3D path planning of UAV using model predictive control Singhal, Rahul; Sujit, PB (Advisor) Path planning is essential for UAVs that travel in different terrains. Designing feasible path planners for UAVs taking the dynamic constraints is difficult. In this thesis, we develop a 3D path planner using model predictive control (MPC) methods for a quadrotor. The MPC based controller optimizes the control effort required to travel a given reference path. The obtained path avoids infeasible regions of the terrain and also threats. The MPC takes constraints on jerks, position and angular acceleration on the quadcopter. Simulation results are presented to validate our approach. 2015-12-07T09:55:13Z http://repository.iiitd.edu.in/xmlui/handle/123456789/381 HELPER: a home assisted and cost effective living system for people with disabilities and homebound elderly Baghoriya, Sanjeev; Bohara, Vivek Ashok (Advisor) Although there has been significant research and development on automation devices for assisted living, there has always been trade-offs in terms of the cost, complexity, design and efficiency. Numerous researchers have published path-breaking systems & techniques over the years in this regard but the cost & complexity has always been an issue. In this work, a state-of-the-art simple and efficient yet cost effective reconfigurable assisted living system is proposed and implemented which will cater for the needs of bed-ridden patients, people with disability and senior citizens. The distinct feature which makes this implementation unique is its low cost, low power consuming hardware and user-friendly control, hence the user can operate the system without any external assistance. Additionally, the proposed work is an astute combination of embedded systems & Labview developement environment which provides a good headstart towards Internet of Things (IoT) concept. Also, It provides multitude of input options to the user like Direct DTMF mode, Voice Recognition mode, GSM call remote monitoring mode, Internet cloud monitoring mode & direct remote controlled mode, by integrating cellular communication and Zigbee protocol based wireless devices with internet. 2015-12-07T09:28:55Z http://repository.iiitd.edu.in/xmlui/handle/123456789/380 Solving helmholtz equation with compressed sensing enhanced finite element methods Sharma, Pragya; Ram, Shobha Sundar (Advisor) The generalized finite element method (FEM) approach towards solving the Helmholtz equation involves a very high computational complexity of the order of O(n3) where n is the number of nodes of the FEM formulation. Prior research involved exploiting the special properties of FEM matrices for reducing the computation time and memory involved in solving the large FEM problems. These included both direct and iterative solvers. In more recent times, graphical processing units (GPUs) are being used to accelerate the solvers. In this work, we propose an alternative different approach for solving the Helmholtz equation with reduced memory requirements by incorporating compressed sensing (CS) techniques into the original FEM formulation. Our approach is based on the fundamental assumption that electromagnetic fields are continuous except at source locations and can be represented with sparse coefficients in alternate transform domains such as wavelets or DCT. We present different practical aspects of this approach with respect to one-dimensional FEM problems and conclude by pointing out some open-ended questions with respect to this area of research 2015-12-07T09:23:30Z