Graphical Image Rendering: Modeling, Animation of Facial or Wild Images

In this comparative study, we intend to analyse different methodologies to perform 3-Dimensional modeling and printing, by using raw images as input without any supervision by a human. Since the input consists of only raw images, the foundation of the methods is finding symmetry in images. But the images that seem symmetric are not symmetric due to the perspective effect and utterance of other factors. The method uses factors like depth, albedo, point of view, and lighting from the input image to formulate 3D shapes. A 3D template model with feature points is created, and by deforming the 3D template model, a 3D model of the subject is then reconstructed from orthogonal photos. The number and locations of the proper amount of feature points are derived. Procrustes Analysis and Radial Basis Functions (RBFs) are used for the deformation. Images are then mapped onto the mesh following the deformations for realistic visualization. Characterization of the input image shows an asymmetric cause of shading, lighting, and albedo rendering the symmetry of images. The experiments show that using these methods can give exact 3D shapes of objects like human faces, cars, and cats

Papillary carcinoma breast in male patient - A rare presentation

Introduction - Male breast carcinoma is rare, accounting for 1% of all malignancies in men and around 1% of all cases of breast carcinoma. Intracystic papillary carcinoma accounts for 0.5–1% of all breast cancers. It generally has good prognosis in women with almost 100% reported 10 year survival rate.Similar data for male patients is not available as the disease is extremely rare.Presentation of Case - A 52 year-old male patient presented with a swelling in his left breast. Swelling had gradually increased in size. On examination, a well-circumscribed swelling was palpable in retro aerolar region with nipple retraction. Mass was not fixed to underlying pectoralis muscle.A large mobile axillary lymph node was palpable. Fine needle aspiration was done, which reported “atypical ductal hyperplasia”. A core biopsy was done which displayed features of intracystic papillary carcinoma. A left modified radical mastectomy was carried out with axillary dissection. The biopsy report of the specimen confirmed the diagnosis of intracystic papillary carcinoma, tumor deposits were seen in lymph nodes. Adjuvant chemotherapy was given postoperatively. Patient recovered well.Conclusion - Intracystic papillary carcinoma is a rare malignancy of breast .It carries an excellent prognosis with upto 100% ten years survival rates reported in females.Surgery with chemotherapy has remained mainstay of treatment but due to rarity of the male breast cancer as such and Intracystic papillary carcinoma in particular, there are no clear guidelines for its management. Further analysis of this disease is needed for its better understanding and management.

Pinning-assisted out-of-plane anisotropy in reverse stack FeCo/FePt intermetallic bilayers for controlled switching in spintronics

We study the implications of FeCo underlayer and overlayer on the static and dynamic magnetic properties of FeCo/FePt exchange spring system along with post-annealing kinetics. Probing of FePt/FeCo/Si and FeCo/FePt/Si bilayers using high energy synchrotron X-ray diffraction by varying glancing angles unveiled structural variations at the interface, where FeCo is observed to inhibit the crystalline growth of FePt. A soft ferromagnetic in-plane behavior and defect-driven hard ferromagnetic properties in the out-plane configuration are established. Besides, the magnetization dynamics studied by Ferromagnetic Resonance depicts an out-plane magnetization component of FePt only in FeCo/FePt/Si. X-ray Absorption Spectroscopy (XAS) in the Fe, Co and Pt L-edge regions reveal dissimilar interfaces in the two series due to thermal agitation effects. XAS spectra at Fe and Co K-edges ensure similar local coordination of Co immaterial of stack order, contrary to altered local geometry of Fe observed in the two series ascribed to varied crystallinity of FePt. Such structures are useful for spin-wave assisted low field magnetization switching in highly coercive FePt by using exchange coupled soft FeCo.journal articl

An Empirical Analysis of Code Smelling and Code Restructuring in Python

Code smellings are not bugs or errors; rather, they are a fundamental deviation in software design that lowers code quality. Code smells don't always mean the software won't work; it will still provide a result, but it can slow down processing, increase the risk of failure and errors, and make the programme more vulnerable to future flaws. The conceptual theory behind code smell and its various kinds are discussed in this chapter. Identifying and eradicating code smells is a time-consuming and endless process with no guarantee that the software will be smell-free. Also, because it's very hard to uncover and eliminate all smells by hand, adopting automated code review techniques that can detect smells becomes essential. Code refactoring is one method of restructuring written code to reduce the effects of bad code smell on generated software code. A novel three-phase code refactoring framework has been proposed in this study. The effectiveness of Python code smell detection using Pysmell tool and refactoring using the rope automation tool are also studied in this chapter.</jats:p

An Empirical Study of Heterogeneous Cross-Project Defect Prediction Using Various Statistical Techniques

Cross-project defect prediction (CPDP) forecasts flaws in a target project through defect prediction models (DPM) trained by defect data of another project. However, CPDP has a prevalent problem (i.e., distinct projects must have identical features to describe themselves). This article emphasizes on heterogeneous CPDP (HCPDP) modeling that does not require same metric set between two applications and builds DPM based on metrics showing comparable distribution in their values for a given pair of datasets. This paper evaluates empirically and theoretically HCPDP modeling, which comprises of three main phases: feature ranking and feature selection, metric matching, and finally, predicting defects in the target application. The research work has been experimented on 13 benchmarked datasets of three open source projects. Results show that performance of HCPDP is very much comparable to baseline within project defect prediction (WPDP) and XG boosting classification model gives best results when used in conjunction with Kendall's method of correlation as compared to other set of classifiers.</jats:p