Has Machine Learning arrived for Banking Risk Managers?

Machine learning is one of the most exciting and powerful cognitive levers out there in the Industry and today Risk managers are grappling to make sense of whether it is just a hype or does it really have a value to add in Banking Risk Management. The article attempts to give a brief introduction into foundational concepts of machine learning and highlights some of the problems with the current predictive models and also some of the most popular pilot or candidate Use cases for Machine learning adoption. It also highlights the critical success factor which one needs to consider or be aware of in in adoption of Machine leaning to solve business problems. The paper intends to demystify the conundrum called as Machine learning and elucidate it to an extent which will enable the new age Ris

A new adaptive edge enhancement algorithm for color laser printers

This thesis presents a novel algorithm for improving quality of edges in printed text. The algorithm is designed to add pixels at selected edge locations after halftoning. The extent of the correction is proportional to the “strength” of the edge, as determined by comparing the local differences in a four-pixel neighborhood to a dynamically generated threshold. The process is computationally efficient and requires minimal memory resources. The performance of our proposed algorithm is clearly demonstrated on several characters and lines. While the algorithm aims to improve the quality of printed text (edges), it is possible to extend its application to improvement of any edge identifiable in an image document

Performance evaluation of BMI resin system for thin-ply composites

Composites materials are increasingly being used in aerospace applications over the past few years. The unique properties like high strength to weight ratio, thermal stability, fatigue and corrosion resistance set them apart from the conventional materials. Composite materials are well suited for the applications where weight is the primary concern in the design. Composites structures are vulnerable to mechanical as well as thermal loadings. Transverse micro-cracking and delamination are the most common type of failures in composite materials. The thickness of the ply being used play a key role dictating the properties of the resultant composite structure. As the ply gets thinner the properties get better. Thick laminates are more susceptible to micro-cracking than thin laminates. Thereby, to manufacture laminates resistant to micro-cracking and delamination it is advised to use thinner plies. In this work, a BMI hardened prepreg system was used to prepare the laminated composites. Thin and thick ply laminates were used to make the composite panels .Mechanical testing was performed on the panels to evaluate the performance of thin-ply and thick-ply laminate system --Abstract, page iv

Has Machine Learning arrived for Banking Risk Managers?

Machine learning is one of the most exciting and powerful cognitive levers out there in the Industry and today Risk managers are grappling to make sense of whether it is just a hype or does it really have a value to add in Banking Risk Management. The article attempts to give a brief introduction into foundational concepts of machine learning and highlights some of the problems with the current predictive models and also some of the most popular pilot or candidate Use cases for Machine learning adoption. It also highlights the critical success factor which one needs to consider or be aware of in in adoption of Machine leaning to solve business problems. The paper intends to demystify the conundrum called as Machine learning and elucidate it to an extent which will enable the new age Risk & Regulatory managers to carefully evaluate and decide on an adoption of Machine learning techniques and solutions to solve specific Business problems

AERODYNAMIC ANALYSIS OF DELTA WING AT LOW REYNOLDS NUMBER USING COMPUTATIONAL SIMULATIONS

The delta wing is best known for their contribution to stability and also, they have high structural advantages compared to other wings. Till now the delta wing has been used mostly in high speed or high Reynolds number flows. But no one concentrated on the low Reynolds number flows, here we have analyzed the flow at Re = 100000. Since we have taken the case of this Reynolds number range, the results obtained can be utilized in designing the Micro Air Vehicles (MAVs) which are mostly designed for the range of Reynolds number Re = 10000 to 100000. We have obtained Cl vs alpha and Cl/Cd vs alpha graphs using computational simulations. We used the CATIA software for designing the wing, it is a conceptual design based on delta wing and analyzed using XFLR 5 for ideal flows, here we used vortex lattice method – ring vortex method and ANSYS fluent software for realistic flows. We used Gamma – Re theta SST transition model for calculations in Ansys Fluent. We have expected CL to be start with smaller values and higher at higher angles of attack since, the delta wings have Low aspect ratio and also they have sweep back which induces leading edge vortices. But the Cl/Cd values will be at their minimum only

Study comparing the efficacy of platelet rich plasma versus steroid versus placebo in lateral epicondylitis

Background: Lateral epicondylitis is seen more commonly in non-athletes than athletes. Non-operative methods are the mainstay of treatment being effective in more than 95% of cases. Platelet rich plasma (PRP) has shown promising results in many studies as compared to steroid injection & other modes of conservative management. Hence, this study was done to evaluate PRP efficacy in our clinical setup and in the people of age group most commonly being affected.Methods: This randomized study was conducted at Narayana Medical College Hospital, Nellore, for a period of two years from December 2014 to June 2016 on 150 consenting patients diagnosed as suffering from lateral epicondylitis. Using lottery method for randomization the patients were divided into three groups, based on which the treatment was received. Group –N with 50 patients received 3 ml of normal saline as placebo. Group –P with 50 patients received 3 ml of extracted PRP injection. Group –S with 50 patients received depot preparation of 40 mg of methyl prednisiolone injected into the affected area. The data collected and recorded in the appropriate proforma. Post therapy assessment was done using with Oxford elbow score.Results:  The overall mean ages of the patients in the three groups (Group P, Group S and Group N) are 38.62±7.53, 37.82±7.79 and 36.3±6.93 respectively. Female preponderance was observed in all the groups. Most common presenting complaint was elbow pain seen in 100% of cases. Most common side involved was the dominant side, right side involvement was seen in 136 cases and left side in 14 cases. The Oxford elbow score pre-treatment in all the groups was not statistically significant and the Oxford elbow score at the end of 12 weeks and 24 weeks treatment showed that PRP and steroid was better than normal saline in control of pain.Conclusion: Lateral epicondylitis or tennis elbow is a painful debilitating condition of elbow, which creates disturbance in functional activities. A single injection of PRP at the site of the elbow pain resulted in relief of pain in patients with longer duration as compared to local steroids to other conservative treatments

Validation of Molecular Markers Genetically Linked to S-Cytoplasm and Restoration-of-fertility (Rf) Loci in Hot Pepper (Capsicum annuum L.)

Existence of CGMS system in hot pepper is due to the rearrangements in the mitochondrial genome and is largely used in economized and pure F 1 hybrid seed production around the world. The orf456, a new ORF present at flanking region of the coxII gene at the 3’ end, was distinguished male sterile cytoplasm in hot peppers along with atp6-2gene. In the current study, eighteen pepper genotypes (nine each of A and corresponding B lines) of varied origin were used to validate with two male sterile cytoplasm (S-cytoplasm) specific sequence characterised amplified region (SCAR) markers viz., atp6-2 (875 bp) and orf456 (456 bp) and one restoration-of-fertility (Rf) locus specific marker, CRF (550 bp). The results clearly showed that the presence of CMS-S-cytoplasm and absence of restoration-of-fertility (Rf) gene in the pepper genotypes studied and is comparable with the phenotypic data. In view of the outcomes it has been reasoned that the accessible S and Rf markers available in the public domain are reproducible and can be promptly utilized for marker assisted selection (MAS) in hot pepper crop improvement program