Smart cmos image sensor for 3d measurement

3D measurements are concerned with extracting visual information from the geometry of visible surfaces and interpreting the 3D coordinate data thus obtained, to detect or track the position or reconstruct the profile of an object, often in real time. These systems necessitate image sensors with high accuracy of position estimation and high frame rate of data processing for handling large volumes of data. A standard imager cannot address the requirements of fast image acquisition and processing, which are the two figures of merit for 3D measurements. Hence, dedicated VLSI imager architectures are indispensable for designing these high performance sensors. CMOS imaging technology provides potential to integrate image processing algorithms on the focal plane of the device, resulting in smart image sensors, capable of achieving better processing features in handling massive image data. The objective of this thesis is to present a new architecture of smart CMOS image sensor for real time 3D measurement using the sheet-beam projection methods based on active triangulation. Proposing the vision sensor as an ensemble of linear sensor arrays, all working in parallel and processing the entire image in slices, the complexity of the image-processing task shifts from O (N 2 ) to O (N). Inherent also in the design is the high level of parallelism to achieve massive parallel processing at high frame rate, required in 3D computation problems. This work demonstrates a prototype of the smart linear sensor incorporating full testability features to test and debug both at device and system levels. The salient features of this work are the asynchronous position to pulse stream conversion, multiple images binarization, high parallelism and modular architecture resulting in frame rate and sub-pixel resolution suitable for real time 3D measurements

Job engagement : examining the relationship with situational and personal factors

The major purpose of this study was to examine the extent to which two job resources, autonomy and supervisor support, and two personality traits, openness to experience and extraversion, were related to job engagement and whether they interact with each other to influence job engagement. In particular, this study examined whether personality traits moderate the relationship between job resources and job engagement. Using a sample of 162 full-time employees, the results showed that only autonomy and supervisor support related significantly to job engagement even when personality traits were taken into consideration. However, the personality traits did not relate to job engagement once job resources were taken into account, nor did they interact with the job resources to influence job engagement. These findings, in part, confirm a proposition of the Job Demands-Resources model that job resources are positively related to job engagement. Implications of the findings are discussed

Case report on Plummer Vinson syndrome

Plummer Vinson syndrome or Paterson-Brown-Kelly syndrome is a rare disorder is characterized by a triad of iron deficiency anemia, post-cricoid dysphagia and upper oesophageal web. This is a condition that is hypothesized to occur in people with long-term iron-deficiency anemia. It is more prevalent in females than in male patients. This disorder is characterized by iron deficiency anemia, post-cricoid dysphagia and oesophageal webs, symptoms typically progress over a period of six months and often include other systemic effects such as angular cheilitis, glossitis, and spooning of the fingernails. Here we report a case of 38 years female admitted in general medicine female with complaints of breathlessness and tightness of chest relieving after vomiting and had history of anemia, dysphagia insidious in onset and dysphagia associated with solid food over a year on examination patient was found to be gross pallor, angular cheilitis, spoon-shaped nails of fingers and toes. The lab findings were hemoglobin of 7.8 g/dl, serum ferritin levels 7.23 ng/ml, vitamin B12 175.2 pg/ml and upper oesophageal endoscopy revealed oesophageal web in the post-cricoid region. Treatment of Plummer Vinson syndrome includes iron supplementation followed by endotracheal dilation if necessary

A Complete Analysis of Alzheimer's Disease Detection Using Machine Learning Techniques

Alzheimer's disease (AD) is a sort of brain condition that leads to the loss of daily functioning. Early diagnosis and classification of Alzheimer's disease remain unexplored due to the rapid progression of Alzheimer's patients and the absence of effective diagnostic instruments. The accurate and efficient identification of Alzheimer's disease is one of the many objectives of researchers seeking to halt or reverse the illness's progression. The primary purpose of this review is to present a comprehensive analysis and evaluation of the most recent research for AD early recognition and classification using the most advanced deep learning technique. The article presents a simplified explanation of system phases including imaging, preprocessing, learning, and classification. It discusses structural, functional, and molecular imaging in Alzheimer's disease. Magnetic resonance imaging (structural and functional) and positron emission tomography are considered modalities. It examines the pre-processing strategies used to improve quality. In addition, the most prevalent deep learning approaches employed in classification will be reviewed. In addition, it will examine various hurdles in the classification and preprocessing of images, as introduced in a few articles, as well as the approaches used to tackle these issues

Prescience Life of Landing Gear Using Multiaxial Fatigue Numerical Analysis

AbstractFatigue failure, which occurs in many engineering components and structures in service, is actually attributed to the multiaxial loads. This study is aimed to estimate/ prescience life of main landing gear of a medium multi-utility aircraft under multiaxial loadings. In this analysis we studied the various loading conditions among them few are the spin-up, spring-back and lateral drift loading.The equivalent stress based multiaxial fatigue criteria (Sines and Crosslands) is employed for the determination of equivalent stress due to multiaxial loading and Palmgren Miner's theory used for calculating total damage and consequently the fatigue life. It is seen that the multiaxial fatigue numerical analysis render lower life than the maximum uni-axial life value

Electrostatic Modeling of Protein Aggregation

Submitted to the faculty of Indiana University in partial fulfillment of the requirements for the degree Master of Science in the Department of Bioinformatics in the School of Informatics of, Indiana University December, 2004Electrostatic modeling was done with Delphi of insight II to explain and predict protein aggregation, measured here for β-lactoglobulin and insulin using turbidimetry and stopped flow spectrophotometry. The initial rate of aggregation of β-Lactoglobulin was studied between pH 3.8 and 5.2 in 4.5mM NaCl; and for ionic strengths from 4.5 to 500mM NaCl at pH 5.0. The initial slope of the turbidity vs. time curve was used to define the initial rate of aggregation. The highest initial rate was observed near pH < pI i.e., 4.6 (< 5.2). The decrease in aggregation rate when the pH was increased from 4.8 to 5.0 was large compared to its decrease when the pH was reduced from 4.4 to 4.2; i.e., the dependence of initial rate on pH was highly asymmetric. The initial rate of aggregation at pH 5.0 increased linearly with the reciprocal of ionic strength in the range I = 0.5 to 0.0045M. Protein electrostatic potential distributions are used to understand the pH and ionic strength dependence of the initial rate of aggregation. Similar studies were done with insulin. In contrast to BLG, the highest initial aggregation rate for insulin was observed at pH = pI. Electrostatic computer modeling shows that these differences arise from the distinctly different surface charge distributions of insulin and BLG

Parallelizing and Distributing the Random Graph Generation Algorithms

Random Graphs evolved as a major tool for modelling the complex net works. Random Graphs have wide range of applications. Random Graph can be defined as a probability distribution over graph. Erdos Renyi Random Graph generation model is one of the most popular and best studied models of a network. Erdos Renyi Random Graph model G(n,p) generates random graph with n vertices where each edge appears with probability p. Despite the fact that the evolution of random graphs as data representation and modelling tool, the previous research hasn’t focused on the efficiency in generating random graphs. The Random Graph generation algorithms perform poor when generating massively large graphs and fails to use the parallel processing capabilities of modern hardware. The goal of my Thesis work is to parallelize the Random Graph generation models using GPGPU (General Purpose Graphics Processing Unit)to improve the performance

Drug utilization pattern among geriatrics according to anatomical therapeutic chemical and defined daily dose classification in a tertiary care hospital

Background: This study was conducted to determine the drug utilization pattern among geriatric inpatients in general medicine department of the hospital.Methods: An observational, prospective study was conducted for a period of six months (November 2016 to April 2017) among 200 geriatric patients; demographic details, education, occupation, diagnosis and drug details were recorded. The drugs were categorized by anatomical therapeutic classification (ATC) and defined daily dose (DDD) was calculated. The World Health Organization (WHO) prescribing indicators were assessed.Results: The majority of the patients (59%) were in age group of 60-69 years. Cardiovascular diseases were common among geriatrics. Most commonly prescribed drug was Pantoprazole (81.7%). Drugs were assigned with ATC/DDD codes according to the guidelines of WHO. Drugs prescribed by their generic names were 56.64% and 43% of drugs that were included in the National Essential Medicines List.Conclusions: Clinical pharmacist have to collaborate and work together with physicians in selecting and adjusting the dose among geriatric population in order to reduce development of potential adverse drug reactions, serious drug related complications and drug interaction

Crowdsourced Data for Informed Urban Development: A Social Media Crowdsourcing Test

This data-intensive study examined civic engagement in urban environments, and we found a varied participant sample with ages ranging from 22 to 40 (mean age 31.4), nearly equal gender distribution (52% female, 48% male), and a range of educational backgrounds, including postgraduates (35%), high school graduates (25%), and bachelor's degree holders (40%). A rich tapestry of civic activities was found throughout our inquiry, with 15% making financial contributions, 35% attending, and 45% actively volunteering. Social network research revealed that participants with a wider range of social connections had higher levels of engagement, underscoring the critical function that social networks play in promoting civic participation. Informed urban development and community cohesiveness depend on understanding the complex interactions between demographics, participation roles, and social networks, all of which are shaped by this research