FPGA based Novel High Speed DAQ System Design with Error Correction

Present state of the art applications in the area of high energy physics experiments (HEP), radar communication, satellite communication and bio medical instrumentation require fault resilient data acquisition (DAQ) system with the data rate in the order of Gbps. In order to keep the high speed DAQ system functional in such radiation environment where direct intervention of human is not possible, a robust and error free communication system is necessary. In this work we present an efficient DAQ design and its implementation on field programmable gate array (FPGA). The proposed DAQ system supports high speed data communication (~4.8 Gbps) and achieves multi-bit error correction capabilities. BCH code (named after Raj Bose and D. K. RayChaudhuri) has been used for multi-bit error correction. The design has been implemented on Xilinx Kintex-7 board and is tested for board to board communication as well as for board to PC using PCIe (Peripheral Component Interconnect express) interface. To the best of our knowledge, the proposed FPGA based high speed DAQ system utilizing optical link and multi-bit error resiliency can be considered first of its kind. Performance estimation of the implemented DAQ system is done based on resource utilization, critical path delay, efficiency and bit error rate (BER).Comment: ISVLSI 2015. arXiv admin note: substantial text overlap with arXiv:1505.04569, arXiv:1503.0881

Topsy turvy in the line of fire

In literature there are several schools of thoughts regarding the tooth present in line of fracture. Some supports the preservation to tooth and others in contrast against to the preservation of the tooth. A case of mandibular fracture with a tooth in the fracture line is presented in this paper. Removal of tooth done followed by reduction under G.A with 1 month postoperative follow-up. Different authors supporting different treatment plan for tooth in fracture line. It depends on case whether to remove the tooth or preserve. There are several pro and cons for both the treatment plan discussed in this paper

Adaptive Residual Useful Life Estimation of a Structural Hotspot

In conventional approaches to life prognosis, damage tolerance and fatigue life predictions are obtained based on assumed structural flaws, regardless of whether they actually occur in service. Consequently, a large degree of conservatism is incorporated into structural designs due to these uncertainties. In a real time environment, keeping track of the damage growth in a complex structural component manually is quite difficult and requires automatic damage state estimation. The current research on structural health monitoring (or on-line damage state estimation) techniques offers condition-based damage state prediction and corresponding residual useful life assessment. The real-time damage state information from an on-line state estimation model can be regularly fed to a predictive model to update the residual useful life estimation in the event of a new prevailing situation. This article discusses the use of an adaptive prognosis procedure, which integrates an on-line state estimation algorithm with an off-line predictive algorithm to estimate the condition-based residual useful life of structural hotspots such as a lug joint. </jats:p

Agroclimatic Impact on Gastrointestinal Infection: A Mathematical Model

Identifying the correct dosage and time are key factors to successful implementation of anthelmintic. Comparing differential evolution of infection between anthelmintic treated animals against untreated ones, we present a mathematical model that first calibrates data collected and analyzed over an extended period of 10 years (2011-2019), and then predicts the dynamical evolution of gastrointestinal parasites in livestock, focusing specifically on Stronglye \&amp;amp; Coccidia oocysts, the two prime negative contributors to cattle health, measured using the standard Eggs-Per-Gram (EPG) index. The model incorporates information about all three critical regimes of infection - low infection regime (&lt; 50 EPG), medium infection regime ($50-100$ EPG) and high infection regime (&gt;100 EPG), including fatally large doses of infection (&gt; 500), and probabilistically estimates the variation in animal weight due to infection propagation. A key success of our model is its ability to accurately predict the appropriate anthelmintic treatment times for cattle from a numerical solution of the model presented. The generic model can be applied to other agroclimatic conditions and can serve as a major diagnostic tool for anthelmintic strategizing.</jats:p