scholarly journals Probabilistic Identification and Estimation of Noise: Application to MR Images

2018 ◽  
Vol 11 (4) ◽  
pp. 2101-2110
Author(s):  
C. Anjanappa ◽  
H.S. Sheshadri
Keyword(s):  
Standard Deviation ◽  
Research Work ◽  
Synthetic Data ◽  
Mr Images ◽  
Optimal Sample ◽  
Single Frame ◽  
Frame Work ◽  
Random Fluctuations ◽  
Proper Interpretation ◽  
Sample Quantiles

For proper modelling of signal and noise in MR data requires proper interpretation and analysis of data, the different approaches with this degradation due to random fluctuations in the MR data, probabilistic modeling is power solution, which needs correctness in the computation of noise is challenging task and various stastical approaches can be utilized. After modelling the noise it can be integrated to denoising pipeline, in this research work, the recognition of noise only pixels and the evaluation of standard deviation of noise using median, mean or other optimal sample quantiles are combined in to single frame work for noise assement and uses fixed point iterative procedure to obtain standard deviation of noise. We tested the effectiveness of the algorithm to the MR clinical and synthetic data base.

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

scholarly journals Brain Tumor Detection from MR Images using Image Process Techniques and Tools in Matlab Software

2021 ◽  
Vol 1 (4) ◽  
pp. 1-4
Author(s):  
Faisal Rehman ◽  
◽  
Syed Sheeraz Ali ◽  
Hamadullah Panhwar ◽  
Dr. Akhtar Hussain Phul ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Image Quality ◽  
Research Work ◽  
Cost Effective ◽  
Image Process ◽  
Medical Sciences ◽  
Mr Images ◽  
Research Areas ◽  
Tumor Identification ◽  
The Brain

In the medical era the Brain tumor is one of the most important research areas in the field of medical sciences. Researcher are trying to find the reliable and cost effective medical equipment’s for the cancer and its type for the diagnosed, especially tumor has deferent kinds but the major two type are discussed in this research paper. Which are the benign and Pre-Malignant, this research work is proposed for these factors such as the accuracy of the MRI image for the tumor identification and actual placing were taken into consideration. In this study, an algorithm is proposed to detect the brain tumor from magnetic resonance image (MRI) data simple. As enhance the image quality for the easiness the tumor treatments and diagnosed for the patients. The proposed algorithm enhances the MR image quality and detects the Brain tumor which helps the Physician to diagnose the tumor easily. As well this algorithm automatically calculates the area of tumor, size and location of the tumor where it is present for diagnostic the Patient.

scholarly journals Skull stripping using traditional and soft-computing approaches for Magnetic Resonance images: A semi-systematic meta-analysis

2020 ◽  
Vol 29 (1) ◽  
pp. 33-53
Author(s):  
Humera Azam ◽  
Humera Tariq
Keyword(s):  
Soft Computing ◽  
Meta Analysis ◽  
Research Work ◽  
Reliability And Validity ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Mr Images ◽  
Good Efficiency ◽  
Skull Stripping ◽  
Brain Mr Images

MRI scanner captures the skull along with the brain and the skull needs to be removed for enhanced reliability and validity of medical diagnostic practices. Skull Stripping from Brain MR Images is significantly a core area in medical applications. It is a complicated task to segment an image for skull stripping manually. It is not only time consuming but expensive as well. An automated skull stripping method with good efficiency and effectiveness is required. Currently, a number of skull stripping methods are used in practice. In this review paper, many soft-computing segmentation techniques have been discussed. The purpose of this research study is to review the existing literature to compare the existing traditional and modern methods used for skull stripping from Brain MR images along with their merits and demerits. The semi-systematic review of existing literature has been carried out using the meta-synthesis approach. Broadly, analyses are bifurcated into traditional and modern, i.e. soft-computing methods proposed, experimented with, or applied in practice for effective skull stripping. Popular databases with desired data of Brain MR Images have also been identified, categorized and discussed. Moreover, CPU and GPU based computer systems and their specifications used by different researchers for skull stripping have also been discussed. In the end, the research gap has been identified along with the proposed lead for future research work.

scholarly journals Strength of the flexural joint of mortar joints and solid fired clay brick prisms

2021 ◽  
Vol 2139 (1) ◽  
pp. 012017
Author(s):  
N Afanador García ◽  
G Guerrero Gómez ◽  
C Nolasco Serna
Keyword(s):  
Compressive Strength ◽  
Standard Deviation ◽  
Flexural Strength ◽  
Coefficient Of Variation ◽  
Force Measurement ◽  
Research Work ◽  
Simple Random Sampling ◽  
Design Parameters ◽  
Semiautomatic Machine ◽  
Clay Brick

Abstract Masonry constructions built with mortar and solid fired clay bricks are subject to: high cement content, excessive water-cement ratio causing problems of mortar shrinkage during curing and differential movements between the brick and mortar caused by movements due to wind or seismic events. Earth movements generate some failures in simple masonry walls and confined masonry in solid brick joints, mainly with failure inclination angles varying from 45 degrees to 50 degrees. The objective of this research work was to estimate the flexural bond strength of the mortar joint and the solid fired clay brick and thus establish design parameters for non-structural masonry in the municipality of Ocanña, Colombia. From the fired clay brick manufacturers, 18 in total, simple random sampling was used to determine the sample size, 4 manufacturers were randomly selected. In addition, the characterization of the solid fired clay brick units was carried out with respect to their compressive strength, initial absorption rate and final absorption, as well as the mortar with respect to its compressive strength at 28 days, according to the Colombian standard for earthquake resistant constructions; for the determination of the flexural strength of the bonding mortar and solid brick units, a semiautomatic machine for flexural strength testing of masonry units, Pinzuar model PC-13, with a force measurement of 1000 N and an accuracy of 0.1 N, was designed. The flexural strength at the masonry joint was obtained for mortar type M with a value of 0.26 MPa, with a standard deviation of 0.01 MPa and a coefficient of variation of 4.72%. As for mortars type N and S, the average strength value was equal to 0.24 MPa for the two types of mortar, with standard deviation of 0.03 MPa and 0.01 MPa respectively, and coefficient of variation of 11.4% and 3.18% respectively. Given the importance of the variables, an interpretation of physical of the relationship between the properties was made: compressive strength of the solid fired clay brick and flexural strength at the masonry joint, since their average values were similar.

scholarly journals Scrutiny of Gold Surface Plasmonic Nanoparticles Embedded in Various Substrates used for Enhancing Solar Cell's Efficiency

2020 ◽  
Vol 8 (5) ◽  
pp. 4410-4419
Keyword(s):  
Solar Cell ◽  
Standard Deviation ◽  
Light Scattering ◽  
Research Work ◽  
Gold Surface ◽  
Mie Scattering ◽  
Solar Cell Efficiency ◽  
Plasmonic Nanoparticle ◽  
Cell Efficiency ◽  
Particle Dimension

The objective of this paper is to read the various substrates which are mounted on Gold plasmonic nanoparticle and how they enhance the efficiency of a solar cell. With the help of MIE scattering software, we found the different type of light inclusion and light scattering by Gold nanoparticles mounted on various substrates of a solar cell. The second objective of this paper is to learn the outcome of nanoparticle dimension and standard deviation on light scattering and absorption. The process of this work can be shortened as follows: The literature review on surface plasmons and how effects solar cell efficiency is done. The software MIEPLOTV4305 and how it is used for the research work were studied. Scrutiny of gold samples with different mediums and comparing the variations in peak wavelength using MIE PLOT software and graphs were placed. The outcome of particle dimension and standard deviation on CSCATTERING, CABSORPTION, QSCATTERING, and QABSORPTION were done.

scholarly journals Occupational Stress, Physical Wellness and Productivity Barometer at Workplace

2019 ◽  
Vol 8 (5) ◽  
pp. 46-50
Author(s):  
Jyotirmayee Choudhury ◽  
Keyword(s):  
Occupational Stress ◽  
Research Work ◽  
Work Life ◽  
Quality Of Work Life ◽  
Work Culture ◽  
Physical Wellbeing ◽  
Frame Work ◽  
Physical Wellness ◽  
Mental Wellness

The paper is a conceptual one to understand the relationship between occupational stress, physical wellbeing and productivity barometer such as burnout, illness, labour turnover and absenteeism. The accumulated unpleasant emotional and psychological feelings ascend out of occupational stress impacts the physical and mental wellness of an employee which ultimately depreciates his/ her productivity barometer. The present paper is a conceptual frame work to understand the concept stress, occupational stress and individual’s appraisal of it in his/her work environment. The research work analyses occupational stress as more of a sort of individual generated which rises out of individual’s assessment of the stressors of work life. The objective of the research work is to study on occupational stress, physical and psychological wellbeing and productivity barometer. The research article attempts to suggest in promoting health philosophy and physical wellness programme in organisation’s work culture and environment through individual initiated interventions and organisation policy to put a control on occupational stress in order to check the alarming signal of productivity barometer. Keywords: Occupational Stress, Physical Wellbeing, Productivity Barometer, Quality of Work Life and Quality of Life.

scholarly journals The study of influencing factors on working capability of “Agco sisu power” engine utilized for crop production in Mongolia

2018 ◽  
Vol 25 (03) ◽  
pp. 167-173
Author(s):  
Zolboo N ◽  
Khulan B ◽  
Ulziibaatar Ts
Keyword(s):  
Influencing Factors ◽  
Crop Production ◽  
Research Work ◽  
Weather Conditions ◽  
Technical Failure ◽  
Smart System ◽  
Power Machinery ◽  
Working Capability ◽  
Frame Work

Due to our country’s weather conditions and improper exploitation of these macheries, there has been occurring series of technical failure, and the down state of the power machinery equipped with smart system CRD engine. Moreover, technical idle and the product cost industrial has been increased. As a result of above mentioned problem, we need to use efficiently the technical resource of agricultural power machines with CRD engine. The aim of our research work was to determine the factors influencing on engine working power, to increase the technical resource and to use it efficiently. Within the frame work of our research study, we are introducing the determination of the influencing factors of working capability of engine in field case, and the result of the laboratory testing the and plan model. “Agco sisu power” Хөдөлгүүрийн ажлын чадварт нөлөөлөх хүчин зүйлийн судалгаа Хураангуй: Монгол орны нөхцөлд ХАА-н зүтгэх хүчний машины CRD хөдөлгүүрийн техникийн нөөцийг бүрэн ашиглах, шинэ техник технологийг нутагшуулан тогтвортой үйлдвэрлэлийг хангах явдал зүй ёсоор тулгарч байна. Иймд уг хөдөлгүүрийн ажлын чадварт нөлөөлөх хүчин зүйлсийг тогтоох, нөөцийг нэмэгдүүлэх, бүрэн ашиглах зорилгоор уг судалгааг гүйцэтгэсэн болно. Энэхүү судалгааны ажлын хүрээнд бид талбайн нөхцөлд хөдөлгүүрийн ажлын чадварт нөлөөлөх хүчин зүйлсийг тогтоож лабораторийн туршилт төлөвлөлтийн загварыг гаргасан үр дүнг танилцуулж байна. Түлхүүр үг: CRD хөдөлгүүр, ажлын чадвар, саатал, хүчин зүйл, туршилт

scholarly journals Cancer Curing Medical Leaves using Texture Image Characteristics

2019 ◽  
Vol 9 (1) ◽  
pp. 6088-6090
Keyword(s):  
Side Effects ◽  
Texture Analysis ◽  
Medical Science ◽  
Research Work ◽  
Herbal Medicines ◽  
Texture Image ◽  
General Direction ◽  
Image Characteristics ◽  
Frame Work ◽  
Herbal Formulations

The present day frame work of medical science of India and abroad clearly signals a drift inducing a general direction and turdencoy towards ayurvedic the medicines and formulations over other conventional medical streams. As a result elaborate and heightened efforts are undertaken to revamp the long forgotten herbal formulations over practiced by the great ayurvedic acharyas of this sub continent which acclaimed trustworthiness, effectiveness, and a sure cure for various diseases when the conventional medicines failed to make a headway. The side effects produced by conventional medicines were found to be in excess, where as the herbal formulations were found to have no significant side effects, As such the modern scientists, physicians, and even herbalists are streamlining their effort to formulate herbal medicines and drugs to cure various dreaded diseases like cancer. This research work proposes an innovative and novel process of analyzing cancer curing medical leaves that are available in India .The statistical texture analysis of the leaf is formulated by correlation, homogeneity, contrast, entropy, and smoothness and the result of such analysis is shown.

Generation of Synthetic Data with Conditional Generative Adversarial Networks

2020 ◽  
Author(s):  
Belén Vega-Márquez ◽  
Cristina Rubio-Escudero ◽  
Isabel Nepomuceno-Chamorro
Keyword(s):  
Research Work ◽  
Synthetic Data ◽  
Original Data ◽  
Classification Problem ◽  
Generative Adversarial Networks ◽  
Data Generation ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Adversarial Networks ◽  
Original Dataset

Abstract The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to the new protection data laws that are emerging. Because of the rise in the use of Artificial Intelligence, one of the most recent proposals to address this problem is the use of Generative Adversarial Networks (GANs). These types of networks have demonstrated a great capacity to create synthetic data with very good performance. The goal of synthetic data generation is to create data that will perform similarly to the original dataset for many analysis tasks, such as classification. The problem of GANs is that in a classification problem, GANs do not take class labels into account when generating new data, it is treated as any other attribute. This research work has focused on the creation of new synthetic data from datasets with different characteristics with a Conditional Generative Adversarial Network (CGAN). CGANs are an extension of GANs where the class label is taken into account when the new data is generated. The performance of our results has been measured in two different ways: firstly, by comparing the results obtained with classification algorithms, both in the original datasets and in the data generated; secondly, by checking that the correlation between the original data and those generated is minimal.

scholarly journals Volatility of Dhaka Stock Exchange

2016 ◽  
Vol 8 (5) ◽  
pp. 220
Author(s):  
Md. Noman Siddikee ◽  
Noor Nahar Begum
Keyword(s):  
Standard Deviation ◽  
Emerging Markets ◽  
Stock Exchange ◽  
Research Work ◽  
Spillover Effects ◽  
Market Volatility ◽  
Factors Affecting ◽  
Daily Return ◽  
Market Return ◽  
General Index

We apply GARCH (p, q) and ARCH(m) model to the daily return of DSE general index (DGEN) ranging from 1<sup>st</sup> January, 2002 to 30<sup>th</sup> July 2013 for examining market volatility. Besides, we calculate year wise standard deviation of daily return of DGEN for the same period. The result of GARCH (1, 1) process and standard deviation of the daily return confirms an abnormal volatility episode from 2009 to 2012. The highest per day volatility was observed in the first half of 2011 in both investigations. The volatility rate found in GARCH (1, 1) process is 2.44% in 2011 followed by 2.00% and 1.99% in 2009 and 2012 respectively. The highest standard deviation of return is 2.99% in 2011 followed by 2.08% in 2012 authenticate the highest volatile periods of the study. We apply ARCH (m) model in 2004 and 2013 for volatility estimate due to inapplicability of GARCH (p, q) process in those market return. The results of ARCH (m) model confirm reliable estimates of market volatility, 1.10% and 1.46% respectively. This is a part of our total research work where our main focus is to detect the factors affecting market volatility and its spillover effects in emerging markets.

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