Aadhaar Based Authentication for Accessing Vehicle Ignition System

The aim of this paper is to propose a low cost and efficient system to authenticate a vehicle driver by using biometric parameters stored at aadhaar database. This eventually reduces the work load of license authentication by traffic police. The system comprises of a microcontroller, GSM/GPRS module and fingerprint sensor. To implement this system Authentication Service Agency (UIDAI) contract is required. Driving license is a necessary entity to drive a vehicle in India. Because of increasing number of vehicles, it is not possible for RTO officials to check everybody�s license. By implementing this kind of systems in vehicles, only licensed persons can turn on vehicle engine. Also it will help to avoid misuse of vehicle

Gravitational collapse with tachyon field and barotropic fluid

A particular class of space-time, with a tachyon field, \phi, and a barotropic fluid constituting the matter content, is considered herein as a model for gravitational collapse. For simplicity, the tachyon potential is assumed to be of inverse square form i.e., V(\phi) \sim \phi^{-2}. Our purpose, by making use of the specific kinematical features of the tachyon, which are rather different from a standard scalar field, is to establish the several types of asymptotic behavior that our matter content induces. Employing a dynamical system analysis, complemented by a thorough numerical study, we find classical solutions corresponding to a naked singularity or a black hole formation. In particular, there is a subset where the fluid and tachyon participate in an interesting tracking behaviour, depending sensitively on the initial conditions for the energy densities of the tachyon field and barotropic fluid. Two other classes of solutions are present, corresponding respectively, to either a tachyon or a barotropic fluid regime. Which of these emerges as dominant, will depend on the choice of the barotropic parameter, \gamma. Furthermore, these collapsing scenarios both have as final state the formation of a black hole.Comment: 18 pages, 7 figures. v3: minor changes. Final version to appear in GR

Adaptive economic and ecological forest management under risk

Background Forest managers must deal with inherently stochastic ecological and economic processes. The future growth of trees is uncertain, and so is their value. The randomness of low-impact, high frequency or rare catastrophic shocks in forest growth has significant implications in shaping the mix of tree species and the forest landscape. In addition, the fluctuations of wood prices influence greatly forest revenues. Methods Markov decision process models (MDPs) offer a rigorous and practical way of developing optimum management strategies, given these multiple sources of risk. Results Examples illustrate how such management guidelines are obtained with MDPs for combined ecological and economic objectives, including diversity of tree species and size, landscape diversity, old growth preservation, and carbon sequestration. Conclusions The findings illustrate the power of the MDP approach to deal with risk in forest resource management. They recognize that the future is best viewed in terms of probabilities. Given these probabilities, MDPs tie optimum adaptive actions strictly to the state of the forest and timber prices at decision time. The methods are theoretically rigorous, numerically efficient, and practical for field implementation

Real-Time Monitoring and Controlling of Refrigerated Truck Using IoT

Abstract: Transportation is an important part of food chain, aiming at monitoring the temperature, humidity inside the refrigerator trucks and tracking the location of the refrigerator trucks. In this system, we have designed an intelligent monitoring system based on the Internet of thing, realized monitoring temperature and humidity inside the refrigerator trucks , and tracking the location of refrigerator trucks real-time in the entire transportation process by using advanced technologies like MQTT, Cloud Computing, sensor technology and the wireless communication technology. The proposed system uses an ESP32 as main control unit, DHT22 , proximity sensor, RTC, and GSP module. The system is very capable to monitor refrigerated truck from anywhere and anytime using a mobile application. This system is capable of monitoring data which can be displayed through mobile application and if any problem is detected the issue can be solved by human intervention. We can achieve good results of data monitoring such as temperature, humidity, door status and location with MQTT protocol. It is satisfied with the performance through the analysis of monitoring system and experiment results for the designed refrigerated truck monitoring system. Moreover, this proposed system has main advantages which minimizes the human efforts for the manual monitoring and product loss due to uncontrolled environment. Keywords: Refrigerator Trucks, Internet of Things, MQTT, ESP 32, Live GPS Location</jats:p

Human Face Detection and Tracking for Age Rank, Weight and Gender Estimation based on Face Images using Raspberry Pi Processor

This paper describes the technique for real time human face detection and tracking for age rank, weight and gender estimation. Face detection is involved with finding whether there are any faces in a given image and if there are any faces present, track the face and returns the face region with features of each face. Here it describes a simple and convenient hardware implementation of face detection method using Raspberry Pi Processor, which itself is a minicomputer of a credit card size. This paper presents a cost-sensitive ordinal hyperplanes ranking algorithm for human age evaluation based on face images. Two main components for building an efficient age estimator are facial feature extraction and estimator learning. Using feature extraction and comparing with our input database in which we have different age group face images with weight is specified according to that we also specify weight category i.e. under weight, normal weight and overweight . In this article we present gender estimation technique, which effectively integrates the head as well as mouth motion information with facial appearance by taking advantage of a unified probabilistic framework. Facial appearance as well as head and mouth motion possess a potentially relevant discriminatory power, and that the integration of different sources of biometric data from video sequences is the key approach to develop more precise and reliable realization system