A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING

In today’s age of streaming services, the effectiveness and precision of recommendation systems are crucial in improving user satisfaction. This project introduces the Smart Hybrid Enhanced Recommendation and Personalization Algorithm (SHERPA) a cutting-edge machine learning approach aimed at transforming how movie suggestions are made. By combining Term Frequency Inverse Document Frequency (TF-IDF) for content based filtering and Alternating Squares (ALS) with Weighted Regularization for filtering SHERPA offers a sophisticated method for delivering tailored recommendations. The algorithm underwent evaluation using a dataset that included over 50 million ratings from 480,000 Netflix users encompassing 17,000 movie titles. The performance of SHERPA was meticulously compared to traditional hybrid models demonstrating a 70% enhancement in prediction accuracy based on Root Mean Square Error (RMSE) metrics during training, testing and validation phases. These findings highlight SHERPAs capability to understand and cater to users’ subtle preferences representing an advancement in personalized recommendation systems

A. Eye Detection Using Varients of Hough Transform B. Off-Line Signature Verification

PART (A): EYE DETECTION USING VARIANTS OF HOUGH TRANSFORM: Broadly eye detection is the process of tracking the location of human eye in a face image. Previous approaches use complex techniques like neural network, Radial Basis Function networks, Multi-Layer Perceptrons etc. In the developed project human eye is modeled as a circle (iris; the black circular region of eye) enclosed inside an ellipse (eye-lashes). Due to the sudden intensity variations in the iris with respect the inner region of eye-lashes the probability of false acceptance is very less. Since the image taken is a face image the probability of false acceptance further reduces. Hough transform is used for circle (iris) and ellipse (eye-lash) detection. Hough transform was the obvious choice because of its resistance towards the holes in the boundary and noise present in the image. Image smoothing is done to reduce the presence of noise in the image further it makes the image better for further processing like edge detection (Prewitt method). Compared to the aforementioned models the proposed model is simple and efficient. The proposed model can further be improved by including various features like orientation angle of eye-lashes (which is assumed constant in the proposed model), and by making the parameters adaptive. PART (B): OFF-LINE SIGNATURE VERIFICATION: Hand-written signature is widely used for authentication and identification of individual. It has been the target for fraudulence ever since. A novel off-line signature verification algorithm has been developed and tested successfully. Since the hand-written signature can be random, because of presence of various curves and features, techniques like character recognition cannot be applied for signature verification. The proposed algorithm incorporates a soft-computing technique “CLUSTERING” for extraction of feature points from the image of the signature. These feature points or centers are updated using the clustering update equations for required number of times, then these acts as extracted feature points of the signature image. To avoid interpersonal variation 6 to 8 signature images of the same person are taken and feature points are trained. These trained feature points are compared with the test signature images and based on a specific threshold, the signature is declared original or forgery. This approach works well if there is a high variation in the original signature, but for signatures with low variation, it produces incorrect results

Four dimensional N=2 theories from six dimensions

textBy formulating the six dimensional (0,2) superconformal field theory X[j] on a Riemann surface decorated with certain codimension two defects, a multitude of four dimensional N=2 supersymmetric field theories can be constructed. In this dissertation, various aspects of this construction are investigated in detail for j=A,D,E. This includes, in particular, an exposition of the various partial descriptions of the codimension two defects that become available under dimensional reductions and the relationships between them. Also investigated is a particular observable of this class of four dimensional theories, namely the partition function on the four sphere and its relationship to correlation functions in a class of two dimensional non-rational conformal field theories called Toda theories. It is pointed out that the scale factor that captures the Euler anomaly of the four dimensional theory has an interpretation in the two dimensional language, thereby adding one of the basic observables of the 4d theory to the 4d/2d dictionary.Physic

Analýza dynamického chování hexapodu pomocí simulace

The main goal of the diploma thesis is to create a simulation model of the Acrome Stewart platform. The important tasks are creation of multibody model of the Stewart platform, generation of desired values for the control system from inverse kinematics, creation of mathematical model of DC motor with lead screw, design of control systems of the linear actuators and evaluation of control quality. By creating simulation model of the real Stewart platform, we will be able to test simulation model by defining different trajectories for the movement of end-effector or platform. From the study done using simulation model, the real model can be tested. Diploma thesis mainly focuses on creation of completely working simulation model of Acrome Stewart platform in MATLAB/Simulink environment.Hlavním cílem diplomové práce je vytvoření simulačního modelu plošiny Acrome Stewart. Důležité úkoly jsou vytvoření modelu multibody Stewartové plošiny, generování požadovaných hodnot pro řídicí systém z inverzní kinematiky, vytvoření matematického modelu stejnosměrného motoru s vodícím šroubem, návrh řídicích systémů lineárních pohonů a vyhodnocení kvality řízení. Vytvořením simulačního modelu skutečné Stewartové plošiny budeme testovat simulační model definováním různých trajektorií pro pohyb koncového efektoru nebo plošiny. Po otestování simulačního modelu můžeme otestovat skutečný model. Diplomová práce je zaměřena na vytvoření plně funkčního simulačního modelu Stewartové plošiny Acrome v MATLAB/Simulink.352 - Katedra automatizační techniky a řízenívýborn

Economic Burden of Type 2 Diabetes Mellitus among Patients in the Rural Field Practice Area of a Medical College in Davangere - A Cross Sectional Study

Background: Diabetes is rapidly emerging as a major health care problem, even in rural India. The earlier occurrence, delayed diagnosis and improper care leads to high complication rates, greater productivity loss and consequently higher costs. As the epidemiological burden of diabetes increases, the economic burden is expected to rise and the economically disadvantaged will be affected the most.Objectives: To assess the economic burden of diabetes among type 2 diabetic patients and to explore the factors associated with the economic burden of diabetes.Materials and Methods: Community based cross sectional study was carried out in rural field practice area of a medical college in Davangere for a period of six months during 2016-17 among 112 patients with type 2 diabetes mellitus. Information was collected using pretested predesigned questionnaire on socio-demographic details, health services utilization, expenditure incurred on diabetes care (both direct and indirect costs) in the past six months.Results: The direct cost accounted for 94.2% of the total cost of treatment, of which hospitalization for diabetes related complications and medications were major components. Source of health care significantly influenced the direct cost. About 8.9% of study subjects skipped medications at least once due to lack of money.Conclusions: Direct cost in the management of diabetes is major contributor to the expenditure. Availability of affordable essential quality diabetic medications and strengthening of public healthcare is crucial in reduction of these direct costs involved in diabetic management

Therapeutic plasma exchange in neuro-immunological disorder

Background: Therapeutic plasma exchange (TPE) is an extracorporeal blood purification technique used to remove high molecular weight substances from the plasma. Examples of these substances include immune complexes, pathogenic autoantibodies, endotoxin, cryoglobulins and cholesterol-containing lipoproteins and myeloma light chains. Therapeutic Plasma exchange is a well-established therapeutic procedure most commonly used in many neuro-immunological disorders. The benefit of plasma exchange occurs by elimination of pathognomonic inflammatory mediators, including complement components, autoantibodies and cytokines. Various studied have demonstrated that TPE plays an important role in neuro-immunological disorder (eg. Guillain-Barré syndrome, myasthenia gravis and other forms of immune neuropathies).Methods: It is descriptive and prospective study on the effect of TPE in neuro-immunological disorders. TPE are studied prospectively for a period from September 2011 to August 2013. The amount of plasma to be exchanged during TPE was determined using the formula EPV = (0.065 x weight [kg]) x (1-hematocrit). TPE was performed using a Haemonetics MCS+ intermittent flow cell separator. An average of 1-1.5 plasma volume is removed on alternative days. Clinical outcome of TPE was assessed at the time of discharge.Results: A total of 138 Therapeutic plasma exchange procedure were performed on 30 patients. In which the improvement begins within days of commencing the treatments and progressed steadily so that 25 out of 30 patients who responded favourably to TPE with a manageable adverse reaction. And only 5 patients failed to respond this therapy. So the clinical outcome for therapeutic plasma exchange for Neuro-immunological cases were 83.3% and remaining 16.7% doesn’t show any improvement after five plasma exchanges.Conclusions: Therapeutic plasma exchange is a first line of management for most of the neuro-immunological disorder. In our study there was an improvement in motor performance after 3-5 plasma exchanges which are mainly due to removal of unbound antibodies from the plasma. Although the statistical power of our study was not sufficient to allow definitive conclusion, the result strongly suggest that 3-5 procedures on alternative days with 1-1.5 volume of plasma exchange gives a better result in patient with neuro-immunlogical diseases. The success of therapeutic plasma exchange also depends on composition of the replacement fluid. The risk and complication associated with procedure are also minimal and easily manageable

Autonomous Systems: Autonomous Systems: Indoor Drone Navigation

Drones are a promising technology for autonomous data collection and indoor sensing. In situations when human-controlled UAVs may not be practical or dependable, such as in uncharted or dangerous locations, the usage of autonomous UAVs offers flexibility, cost savings, and reduced risk. The system creates a simulated quadcopter capable of autonomously travelling in an indoor environment using the gazebo simulation tool and the ros navigation system framework known as Navigaation2. While Nav2 has successfully shown the functioning of autonomous navigation in terrestrial robots and vehicles, the same hasn't been accomplished with unmanned aerial vehicles and still has to be done. The goal is to use the slam toolbox for ROS and the Nav2 navigation system framework to construct a simulated drone that can move autonomously in an indoor (gps-less) environment