An Assessment on Credit Card Fraud Detection: Survey

Credit card fraud is a costly problem for many financial institutions, costing businesses billions of dollars a year. Many adversaries still escape fraud detection systems because these systems often do not include information about the adversary's knowledge of the fraud detection mechanism. This thesis aims to include information on the motivations of "crooks" and the knowledge base in an adaptive fraud detection system. In this thesis, we use a theoretical adversarial learning approach to classification to model the best fraudster strategy. We proactively adapt the fraud detection system to classify these future fraudulent transactions better. Therefore, this document aims to provide an over-supervised bird's-eye approach with a suitable feature extraction technique that improves fraud detection rather than mistakenly classifying an actual transaction as fraud

Clustering Based Dynamic Bandwidth Allocation in HC-RAN

A wireless network is composed of several independent nodes or gadgets that communicate mutually through a wireless link. The most destructive challenge encountered in a wireless network is bandwidth allocation because it defines the amount the network will cost and how effectively it will function. The most cutting-edge network architecture in the present wireless communication system, cluster-based heterogeneous cloud radio access networks (HC-RANs), is what powers cloud computing in heterogeneous networks. In this research, we proposed an HC-RANs that may optimize energy consumption for wireless data transfer in the multi-hop device to device scenario. The proposed scheme offers bandwidth allocation in wireless environments where there are concerns about significant user mobility over the course of a given time. The above design, we used clustering with joint beam formation for the down link of heterogeneous cloud radio access network (HC-RAN), developed design to improved amount of FBS. Result outcomes helped in calculating Critical bandwidth usage (CBU)

Training and Placement Web Portal

This work present web portal designed for managing t raining and placement data. The objective of this project is to develop a system that can be used by placement cell of a college. The purpose is to design a system that provides functionalities to perform the activities related to placement services. It is based on complete modular architecture. This modularity of the architecture will allow us to replace or add modules in the future as a way to enhance a particular feature of particular situation. This system can be used as an application for the TPO of th e college manages the student information with regards to training and placement. In the present work some of the modules are implemented by means of managing training and placement data. Whereas module responsible for adopting student information, company information and study material require for company placement

Analog and RF Performance Analysis of 22nm Modified Source/Drain Dual Gate FDSOI MOSFET

In this paper, 22nm FDSOI MOSFET having Modified Source/Drain with Dual Gate has been analyzed. This device, not only provides higher ON current but it has also a lower leakage current in order of pA. With the help of Dual Gate (DG) electrical characteristics and Short Channel Effects improved. Analysis parameters like Drain Induced Barrier Lowering (DIBL), Subthreshold Swing, Threshold roll-off, Carrier Concentration, Gate to drain Capacitance, Gate to Source Capacitance, cut-off frequency, Conduction and Valence Band Banding are analyzed using high-k spacers

An overview of the machinability of alloy steel

Machinability is an important aspect for the machining of any materials. In general, it is controlled by means of tool life, surface roughness, power consumption, chip morphology, cutting forces, cutting fluid and material removal rate. Furthermore, it is also affected the microstructure, grain size, hardness, yield, tensile strength and chemical composition of the work piece material and tool materials. Advanced materials such as alloy steel, structural ceramics, and hardened steel are difficult to machine using conventional tool materials. The machining parameters such as depth of cut, cutting velocity and feed rate play a very important role to achieve high quality of surface finish on the machined surface. High interface temperatures at the tool tip and work piece material resulted poor surface finish and increases cutting forces and tool wear. A high cutting speeds with high feed and depth of cut causes high heat generation which reduces the tool substrates bonding strength resulting in accelerated tool wear and reducing tool life. In this article influence of heat treatment to enhance machinability alloy steel reviewed in terms of tool life, surface roughness, cutting forces and chip morphology. This article will be very useful for the students, research scholar and industrialist working in the area of machining

Instant and Persistent Hydrogen Production Using Nano High Entropy Catalyst

Renewable harvesting clean and hydrogen energy using the benefits of novel multicatalytic materials of high entropy alloy (HEA equimolar Cu-Ag-Au-Pt-Pd) from formic acid with minimum energy input has been achieved in the present investigation. The synthesis effect of pristine elements in the HEA drives the electro-oxidation reaction towards non-carbonaceous pathway . The atomistic simulation based on DFT rationalize the distinct lowering of the d-band center for the individual atoms in the HEA as compared to the pristine counterparts. This catalytic activity of the HEA has also been extended to methanol electro-oxidation to show the unique capability of the novel catalyst. The nanostructured HEA, properties using a combination of casting and cry omilling techniques can further be utilized as fuel cell anode in direct formic acid/methanol fuel cells (DFFE).</div

Instant and persistent hydrogen production using nano high entropy catalyst

Renewable harvesting clean and hydrogen energy using the benefits of novel multicatalytic materials of high entropy alloy (HEA equimolar Cu-Ag-Au-Pt-Pd) from formic acid with minimum energy input has been achieved in the present investigation. The synthesis effect of pristine elements in the HEA drives the electro-oxidation reaction towards non-carbonaceous pathway . The atomistic simulation based on DFT rationalize the distinct lowering of the d-band center for the individual atoms in the HEA as compared to the pristine counterparts. This catalytic activity of the HEA has also been extended to methanol electro-oxidation to show the unique capability of the novel catalyst. The nanostructured HEA, properties using a combination of casting and cry omilling techniques can further be utilized as fuel cell anode in direct formic acid/methanol fuel cells (DFFE).by Nirmal Kumar, Subramanian Nellaiappan, Ritesh Kumar, Kirtiman Deo Malviya, K. G. Pradeep, Abhishek K. Singh, Sudhanshu Sharma, Chandra Sekhar Tiwary and Krishanu Biswa

Nobel Metal Based High Entropy Alloy for Conversion of Carbon Dioxide (CO2) to Hydrocarbon

Conversion of carbon-di-oxide into selective hydrocarbon using stable catalyst remains a holy-grail in catalysis community. The high overpotential, stability, and selectivity in use of a single metal-based catalyst still remain a challenge. In current work, instead of using pure noble metals (Ag, Au, and Pt) as the catalyst, a novel nanocrystalline high entropy alloy (HEA: AuAgPtPdCu) has been used for conversion of CO2 into gaseous hydrocarbons. Utilizing an approach of multi-metallic HEA, a Faradaic efficiency of about 100% towards gaseous products is obtained. The reason behind the superior catalytic activity of high entropy alloy (HEA) was established through first-principles based density functional theory (DFT) by comparing it with pristine Cu (111) surface. This is attributed to the reversal in adsorption trends for two out of the total eight intermediates - *OCH3 and *O on Cu(111) and HEA surfaces.</p