Bio Metrics in Secure E-transaction
Information security is concerned with the assurance of confidentially, integrity and availability of information in all forms. This is the ancient Greek word: bios = “life” and metron = “measure.” In the present day world, online shopping using WAP enabled mobile phone has widely come into use. Credit cards serve as the currency during e-business and e-Shopping. As the Hacking or Spoofing or the Misuse of the credit card is continuously increasing even you are using a secure network. Also, some Spam software is sent to your system or device through the internet that helps spammers to get the desires relevant information about your credit card and financial data. To solve these problems or get out of these insecurities the Bio-metric System that provides the secure E-transaction by improving the prevention of data spoofing. So in this paper, we have proposed a multi-biometric model (integrating voice, fingerprint and facial scanning) that can be embedded in a mobile phone, this making e-transactions more secure.
Published by: Siddhi Raviraj Awadhut
Author: Siddhi Raviraj Awadhut
Paper ID: V3I6-1462
Paper Status: published
Published: December 27, 2017
A Survey on Medical Data by using Data Mining Techniques
Data mining is a vital region of research and is practically utilized as a part of various areas like back, clinical research, instruction, human services and so on. Data mining is an imperative zone of research and is even-mindedly utilized as a part of various areas like the fund, clinical research, training, social insurance and so forth. Truth be told, the assignment of data extraction from the medicinal information is a testing attempt and it is a perplexing errand. The principle intention of this audit paper is to give a survey of data mining in the domain of medicinal services. In fact, the task of knowledge extraction from the medical data is a challenging endeavor and it is a complex task. The main motive of this review paper is to give a review of data mining in the purview of healthcare. Moreover, intertwining and interrelation of previous researchers have been presented in a novel manner. Furthermore, merits and demerits of frequently used data mining techniques in the domain of healthcare and medical data have been compared. The use of different data mining tasks in health care is also discussed. An analytical approach regarding the uniqueness of medical data in healthcare is also presented.
Published by: Pradeep Nayak, Sayeesh
Author: Pradeep Nayak
Paper ID: V3I6-1452
Paper Status: published
Published: December 27, 2017
Design and Implementation of Microprocessor Trainer Bus System
This paper presents a part of a microprocessor trainer system. This paper has six modules. All modules are connected on the bus paths. Control signal such as Direct Memory Access (DMA), I/O Module and memory Modules are attached to the bus. In this paper, the bus has four lines of the bus. They are a line of the address, data, control (Memory Read/ Write and I/O Read/Write) and power. The address bus and data bus are 16 bits. Several Microcontrollers are in this paper. PIC 16f877 is used in a DMA module (direct memory access) and I/O module. PIC 74LS573 is applied as Latch, PIC74LS244 is used as a bus driver and PIC74LS255 is applied as a bus transceiver. PIC18f452 is used in CPU module. Each type of bus has its own requirements and properties.
Published by: Dr. Tin Tin Nwet, Dr. Phyu Phyu Shein
Author: Dr. Tin Tin Nwet
Paper ID: V3I6-1282
Paper Status: published
Published: December 27, 2017
Design of an Adaptive Sign Based Routing Protocol in VANET for Sophisticated Environments
With the advancement of the communication technology and an increase in the number of vehicles, the Vehicle Ad-hoc Network (VANET) has become an emerging field of study. The major applications of VANETs are in highways, but in sophisticated environments such as forest area, hill stations, private museum or large park etc., where visitors across the country pass through several locations, and there doesn’t exist a proper communication among the vehicles. So in this type of locations, we need an intelligent routing strategy for the On Board Unit(OBU) to adapt and communicate with the neighboring vehicles. In this paper, a strategy is proposed wherein, the vehicles communicate with each other or with the roadside units (RSU) by passing some sign bits with positive or negative polarity. A simple simulation is performed on 100 to 200 vehicles demonstrating passing of data from source to destination.
Published by: Ravi Kumar .M, Dr. B. R Prasad Babu
Author: Ravi Kumar .M
Paper ID: V3I6-1483
Paper Status: published
Published: December 27, 2017
Design and Implementation of Microcontroller in FPGA for IoT
One of the buzz words in the Information Technology is the Internet of Things (IoT). In coming years, IoT will transform the objects which are present in the real world into virtual objects. IoT keep us informed about the status of objects and controls of things in a sensor network. Sensor node comprises of the sensor, microcontroller and RF transceiver. A microcontroller is an integrated circuit which basically performs one task and executes particular application. It contains programmable in/out peripherals, memory, and processor. Microcontrollers are mostly designed in view of embedded and are used to automatically controllable systems. In digital system design microcontrollers and field programmable gate arrays (FPGAs), both are widely used. Microcontroller based devices are becoming increasingly widespread. On one hand, high speed, power, and falling prices make them an obvious choice whereas fast-growing popularity of FPGAs, the availability of powerful development tools and the increase in speed and high density have made FPGA based systems an alternative choice. Sensor node controller is going to develop using VHDL with behavioral modeling which is an abstract model of the controller and breaks down of the system into subcomponents and functional blocks.
Published by: Anuradha M. Nimase, Dr. Dipashree M. Bhalerao
Author: Anuradha M. Nimase
Paper ID: V3I6-1482
Paper Status: published
Published: December 27, 2017
Performance Evaluation of Multi-Core System through Mining Techniques
Apriori algorithm is a masterstroke algorithm of association rule mining. Increased possibility of the Multicore processors is imposing us to upgrade the algorithm and applications so as to accomplishment the computational power from multiple cores finding frequent item sets is more upscale in terms of computing resources utilization and CPU power. Apriori Algorithm is used on very big data sets with high dimensionality of data. Therefore, parallel computing can be applied for mining using association rules. The process of association rule mining consists of finding frequent item sets and generating rules from the frequent item data sets. Finding frequent item sets are more expensive in terms of CPU power consumption and computing resources utilization. Thus, the majority of parallel apriori algorithm focus on parallelizing the process of discovering frequent item set. The computation of frequent item sets mainly consist of creating the candidate's generation and counting items. In parallel frequent itemsets mining algorithms addresses the issue of distributing the candidates among processors such that their creation and counting is effectively parallelized. Paper presents a comparative study of the serial and parallel mining of data sets. The Raspberry Pi is powerful, the small computer having the dimensions of credit card which is invented with the hope of an inspiring generation of learners to be creative. This computer uses ARM (Advanced RISC Machines) processor, the processor at the heart of the Raspberry Pi system is a Broadcom BCM2835 system on chip multimedia processor. Paper provides a description of the raspberry pi technology which is a very powerful computer. Also, it introduces the overall system architecture and the design of hardware components are presented in details. We also use Raspberry Pi 3 Model B 1.2 GHz 64-bit quad-core ARM Cortex-A53 and find the results using serial and parallel mining of data sets[14].
Published by: Ramdas Popat Jare, Vrushali Desale
Author: Ramdas Popat Jare
Paper ID: V3I6-1489
Paper Status: published
Published: December 27, 2017
