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Musiklärares bedömnings– och betygsättningspraktiker
Postern tar upp mitt avhandlingsprojekt med särskilt fokus på den första delstudien.
Assessing and minimizing risk of patients with aortic disease
Prophylactic endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm (AAA) aims to avoid aneurysm rupture. However, only patients with sufficient long-term survival get benefit from this avoidance. Therefore, accurate patient selection is crucial.The aim of the project is to evaluate new methods of assessing and minimizing the risks and thereby improve the selection of patient with the mo
Value of preclinical systematic reviews and meta-analyses in pediatric research
Similar to systematic reviews (SRs) in clinical fields, preclinical SRs address a specific research area, furnishing information on current knowledge, possible gaps, and potential methodological flaws of study design, conduct, and report. One of the main goals of preclinical SRs is to identify aspiring treatment strategies and evaluate if currently available data is solid enough to translate to cl
Role of IoT to avoid spreading of COVID-19
Covid-19 has become pandemic, spreading all over the world. Scientists and engineers are working day and night to develop a vaccine, to evolve more testing facilities, and to enhance monitoring systems. Mobile and web-based applications, based on questionnaires, have already been developed to monitor the health of individuals. Internet of Things (IoT) can be used to avoid the spreading of Covid-19
A review on operation and maintenance of hydropower plants
Hydropower is one of the renewable energy sources having the highest conversion efficiency than other renewable energy sources. The hydro turbine is considered as the main component of a hydropower plant and operation and maintenance of various components are the critical issues for optimal energy generation. Under the present paper, a comprehensive literature review on the operation and maintenan
Compressive Strength Prediction of Lightweight Concrete : Machine Learning Models
Concrete is the most commonly used construction material. The physical properties of concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre-reinforced concrete, polymer-modified concrete, and lightweight concrete. The precise prediction of the properties of concrete is a problem due to the design code, which typically requires specific characteristics. The em
Machine Learning-Based CO2Prediction for Office Room : A Pilot Study
Air pollution is increasing profusely in Indian cities as well as throughout the world, and it poses a major threat to climate as well as the health of all living things. Air pollution is the reason behind degraded indoor air quality (IAQ) in urban buildings. Carbon dioxide (CO2) is the main contributor to indoor pollution as humans themselves are one of the generating sources of this pollutant. T
In situ imaging of precipitate formation in additively manufactured al-alloys by scanning X-ray fluorescence
Al-alloys incorporating Mn, Cr and Zr, tailored for powder bed fusion-laser beam processes with solubilities three times equilibrium have recently been developed that yield a high strength. Mn and Cr-enriched precipitates that form during printing and heat treatment influence the material’s mechanical properties hence making it important to understand their kinetics. In this study, direct imaging
Image restoration using a fuzzy-based median filter and modified firefly optimization algorithm
This paper presented an object restoration approach in which images are influenced by the salt & pepper noise replaced by a median filter based on fuzzy logic. A Modified Firefly Optimization Algorithm (MFOA) is used to restore the images based on the Richardson-Lucy algorithm. Denoising, as well as restoring the image, is effectively demonstrated. Compared to current denoising filtered, PSO (
Composition of Giants 1° North of the Galactic Center : Detailed Abundance Trends for 21 Elements Observed with IGRINS
We report the first high-resolution, detailed abundances of 21 elements for giants in the Galactic bulge/bar within 1° of the Galactic plane, where high extinction has rendered such studies challenging. Our high-signal-to-noise-ratio and high-resolution, near-infrared spectra of seven M giants in the inner bulge, located at (l, b) = (0°, +1°), are observed using the IGRINS spectrograph. We report
Application of Internet of Things in Image Processing
Image processing and IoT technology use various sensors and camera-based sensors for processing image data with help of a variety of IoT applications. So far, the IoT and image processing concepts have been used for our real-life applications. Their individual use in the sphere of industries is possible and has had some success. However, a combination of the two technologies has yet to be develope
An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams
Over the world, there is growing worry about the corrosion of reinforced concrete structures. Structure repair, rehabilitation, replacement, and new structures all require cost-effective and long-lasting technologies. Fiber Reinforced Polymer (FRP) has been widely employed in both retrofitting existing structures and building new ones. Due to its varied qualities in reinforced concrete and masonry
Development of correlation to predict the efficiency of a hydro machine under different operating conditions
The global energy demand is increasing due to an increase in economic growth and urbanization which is set to rise by 4.6% in 2021. A major part of this increasing energy demand is accomplished by fossil fuels which create environmental pollution. Hydropower is the most mature, reliable, and cost-effective source of energy. However, the operation and maintenance (O&M) of hydro turbines is the
Prediction of FRCM–Concrete Bond Strength with Machine Learning Approach
Fibre-reinforced cement mortar (FRCM) has been widely utilised for the repair and restora-tion of building structures. The bond strength between FRCM and concrete typically takes precedence over the mechanical parameters. However, the bond behaviour of the FRCM–concrete interface is complex. Due to several failure modes, the prediction of bond strength is difficult to forecast. In this paper, effe
Modified median filter for image denoising
The retrieval of the original image quality is always a challenging task in the area of image processing. A huge number of techniques were used to denoising the image. A new approach is proposed for eliminating salt and paper noise. The methodology suggested is based on a different median filter applied. This paper describe the methodology and logical notations of purposed technique and finally im
Dimensions of Internet of Things : Technological Taxonomy Architecture Applications and Open Challenges-A Systematic Review
We are traversing the growing emerging technology paradigms in today's advanced technological world. In this present era, the Internet of Things (IoT) is extensively used in all sectors. IoT is the ecosystem of smart devices which contains sensors, smart objects, networking, and processing units. These integrated devices provide better services to the end user. IoT is impacting our environment and
Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models
Chronic diseases are the most severe health concern today, and heart disease is one of them. Coronary artery disease (CAD) affects blood flow to the heart, and it is the most common type of heart disease which causes a heart attack. High blood pressure, high cholesterol, and smoking significantly increase the risk of heart disease. To estimate the risk of heart disease is a complex process because
Security issues and challenges in cloud of things-based applications for industrial automation
Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for computing technologies and industrial automation. Cloud of Things (CoT) is one of the emerging computing technologies for such applications. CoT combines the most emerging cloud computing and the Internet of Things. The development in industrial automation made them highly interdependent because the cloud c
Prognosis of compressive strength of fly-ash-based geopolymer-modified sustainable concrete with ML algorithms
Sustainable concrete is the demand of the present era to reduce carbon emissions. Fly-ash-based geopolymer (FLAG) concrete has been used in the construction industry for more than one and a half decades. The compressive strength (CS) of concrete plays a crucial role in the mechanical properties of concrete. Laboratory experiments take a huge amount of time and cost to estimate the CS of concrete.
