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
Raspberry Pi Home Automation with Voice Control
Automation control means the use of various control systems (sensors) for operating equipment without human interference. Home automation is exciting field when it is blow up with new technologies like voice control. It is computerization of the home or household activity. The suggested implementation of home automation bring under one control of lighting, heating, ventilation and it is fully controlled by using any smartphone through the particular android/iOS application and also with voice commands. Also, the Home appliances are controlled by voice command using Google speech API. The main advantage of this is small device can be part of internet so it is easy to communicate, manage and control without human interferences. Also, it provides the high degree of security, safety, comfort, and energy saving. The Raspberry Pi is small(85.60 mm x 56 mm x 21 mm), inexpensive(2,950 INR), portable, credit-size single board computer with support for a large number of peripherals like USB port, HDMI port, SD card slot and network communication like Ethernet port. Raspberry pi a group of technologies now exist that join the capacity of PC, communication and multimedia technologies of web and portability of the mobile device.
Published by: Madhuri Upadhye, R. A. Khan
Author: Madhuri Upadhye
Paper ID: V3I6-1464
Paper Status: published
Published: December 26, 2017
3G/4G Communicational BoosterPack
In this project, mainly we are focusing on developing a new booster pack that works with a 3G/4G module. To develop a booster pack we are using an industrial grade open source hardware called MangOH Red designed to address common IoT pain points and deliver 90% of our prototype out-of-the-box so we can focus our time and resources building the next killer IoT application and bringing our products to market sooner. We are using a CF3 module of WP series (wp7502), which is a 4G module, manufactured by a sierra wireless company. This module is built using a Legato platform and uses its own APIs to operate and execute. Basically, nowadays IoT plays an important role in the society hence this helps for quick prototyping and provides an easy way for requirements of the Internet of Things. This concept mainly involves the implementation of serial communication between client and server using MangOH and MSP430 [11] [12].
Published by: Chaithra .K, Mahesh B. S, Sushma S. J
Author: Chaithra .K
Paper ID: V3I6-1471
Paper Status: published
Published: December 26, 2017
