Abstract:Road accidents constitute the major part of the accident deaths all over the world. According to the Insurance Institute for Highway Safety (IIHS), new cars and its high-tech safety features have helped to lessen auto related deaths over the past 12 years. Though it credits technology for lessening auto accidents, yet the IIHS cannot help accusing bad driving behavior, like drunken driving, speeding and not using seatbelts for still causing major traffic deaths. Automatic vehicle accident detection and messaging system is an embedded intelligence implanted into the automobile. The purpose of the project is to find the vehicle where it is and locate the vehicle by means of sending a message using a system which is placed inside of vehicle system Most of the times we may not be able to find accident location because we don’t know where accident will happen. In order to give treatment for injured people, first we need to know where the accident happened through location tracking and sending a message to your related one or to the emergency services. So in this work we are using the basic microcontroller Arduino atmega328 for cost effective and also for easy understanding. Here we used assembly programming for better accuracy and GPS and GSM modules which helps to trace the vehicle anywhere on the globe. The exact location of the vehicle is sent to our remote devices (mobile phones) using GSM modem.

Keywords:Arduinoatmega328Microcontroller, Arduino Software, Vibration Sensor, GPS&GSM.

Abstract:The use of automobiles is necessary to ship goods and products from one place to another. The users face several problems due to delay in the delivery of goods. This delay may be due to choosing wrong or longer routes by the driver. The Global Positioning System (GPS) is being used for fleet management, stolen vehicle recovery, surveillance and mapping applications. In this paper, implementation details of a vehicle tracking system (VTS) on Google Maps are presented along with experimental results. The Transmitter unit has GSM Module, GPS Module. The GPS Module continuously reads the data from the Satellite and sends it to Arduino using Serial Communication. The received Latitude and Longitude values are transmitted to the Receiver through GPRS Technology available in SIM900 Module. The Data is transmitted to the Apache Server in Raspberry Pi. Once the Data is received by the Raspberry Pi it posts that data on to the Webpage in which a Google Maps Code is implemented. The Location is displayed on the Maps as a small Red Dot which shows the Current Location of the Vehicle.

Keywords:Automobile tracking; GPS/GSM/GPRS technology; Raspberry Pi; Arduino Uno; Google maps API

Abstract:Ocean exploration plays a vital role in global climate control and understanding environmental change and helps in research areas for the purpose of oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention like Tsunami and earthquakes. Today’s Existing systems are a data buoy which provides weather forecasting, Survey ships which are huge and heavier and satellites which are cost inefficient. To overcome existing system drawback and to provide multifunctioning, we are implementing smart robotic vehicle which provides live video acquisition, exact location co-ordinates ofthe device to the user, metal detection, automatic and manual control ofthe device. In this paper, we are developing a smart Robotic vehicle which is cost effective, small in size, consumes less power and has various applications towards oceanographic research.

Keywords:Unmanned Underwater Vehicle (UUV), ARM-LPC2148,Metal Detector, IR sensor, GSM, GPS, DC Motors, Wireless Camera.

Abstract:Cryptography plays an important role in the security of data. Encryption ensures data integrity by protecting the data from being corrupted or modified.RSA and DSA are the most commonly used methods for the authentication. Encryption uses symmetric and asymmetric encryption algorithms such as Triple-DES and Blowfish for maintaining the confidential. The AES is widely used for encryption of audio/video data contents in real time. Due to the significance of the AES algorithm and the numerous real-time applications, the main concern of this paper is to present new efficient hardware implementations for this algorithm.AES uses four operations, namely SubBytes, ShiftRows , MixColumns and Key Additions transformations. SubBytes transformation is done through S-BOX. This paper describes full custom design of high speed S-BOX for AES encryption algorithm and its implementation in FPGA and ASIC. The proposed AES architecture has delayed improvement of approx. 1.6 ns along with area improvement of 287 FPGA slices when implemented in the Spartan-6 FPGA of Xilinx. The full custom design of the S-BOX has been done in 180 nm technology in Cadence using novel XOR gate which has high speed and low power consumption . The designed S-BOX chip consumes 22.6 μW and has 8.2 ns delay after post layout simulation

Keywords:Advanced Encryption Standard(AES), Data Encryption Standard(DES), Substitution Box(S-Box), Field programmable array(FPGA)

Abstract:This paper provides identification of the diseases at early stages in pepper and pomegranate plants using image processing techniques. Image processing and standard data base is extensively used in the proposed work. Various nutritional disorders of pepper and pomegranate plant lead to change in color of the leaf. These visual symptoms are derived from images of the defected leaves of pepper and pomegranate plants. By detecting nutrient deficiency with this method, plant life span and yield can be improved by providing proper and suitable quantity of manure. MATLAB and Laboratory Virtual Instrument Engineering Workbench (LabVIEW) are the used tools in this process. LabVIEW provides Visual programming methods for image acquisition, image processing. MATLAB and LabVIEW provide easy and convenient methodologies for image processing techniques.

Keywords:Nutritional deficiency, LabVIEW, Image processing, RGB color.