introduction many real-time system

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													A brief introduction on bigdata with real time example of hadoop

1. A brief introduction on bigdata with real time example of hadoop

The job of Secondary Node is to contact Name Node in aperiodic manner after certain time interval (by default 1 hour). Name Node which keeps all file system metadata in RAM has no capability to process that metadata on to disk. So if Name Node crashes, you lose everything in RAM itself and you don't have any backup of file system. What secondary node does is it contacts Name Node in an hour and pulls copy of metadata information out of Name Node. It shuffle and merge this information into clean file folder and sent to back again to Name Node, while keeping a copy for itself. Hence Secondary Node is not the backup rather it does job of housekeeping.
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Real-Time Object Tracking System For 2-Degree Of Freedom (DOF) Robotic Arm

Real-Time Object Tracking System For 2-Degree Of Freedom (DOF) Robotic Arm

The first chapter focuses on the introduction, which is background, problem statement, objectives, scope and the important of project. For background and problem statement explains about introduction of this project and the necessary to implement this project. The main factor of choosing the project title and purpose of project was described under the objectives. The brief operations of this project is explained under the project scope.

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Introduction to Real-Time Processing in Apache Apex

Introduction to Real-Time Processing in Apache Apex

Linear Road Benchmark is impelled by the variable tolling system on various observed highways across the globe. This benchmark underlines a variable tolling system for a synchronous and simulated urban expressway system, the tolls for which depend on factors such as traffic congestion and proximity of accidents. Each vehicle comes with a sensor that identifies its location coordinates every 30 seconds. Internet of Things is a very fresh and trending domain where Apache Apex can play the vital role. For example A single Journey of passenger flight may generate (approx.) 4TB of data through its sensors. This coordinates generate statistics about traffic conditions on every segment of expressway for every minute.
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Real-time PCR in Food Science: Introduction

Real-time PCR in Food Science: Introduction

Traditional methods of detection, although reliable and efficient, require several days to weeks before results are produced. Furthermore, phenotypic properties by which the bacteria are identified may not be always expressed; and when expressed, they may be difficult to interpret and classify. Another disadvantage of traditional methods is that cells which are viable but otherwise non-culturable cannot be detected, e.g. some stressed Campylobacter spp. (Rollins and Colwell, 1986; Tholozan et al., 1999). Thus, introduction of amplification techniques in microbial diagnostics has been established in research laboratories as a valuable alternative to traditional detection methods. The most extensively used amplification method is PCR, but other methods have also been developed such as NASBA, the Q-beta replicase amplification system and the ligase chain reaction (LCR), although until now, they have had limited practical relevance for food monitoring and control. Speed, excellent detection limit, selectivity, specificity, sensitivity and potential for automation are among the most important advantages of qPCR. These advantages compared to traditional detection methods might well encourage end-users to adopt amplification techniques in routine testing for food-borne pathogens.
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Many Suspensions, Many Problems: A Review of Self-Suspending Tasks in Real-Time Systems

Many Suspensions, Many Problems: A Review of Self-Suspending Tasks in Real-Time Systems

Example 3: Hardware Acceleration by Using Co-Processors and Computation Offloading. In many embedded systems, selected portions of programs are preferably (or even necessarily) executed on dedicated hardware co-processors to satisfy performance requirements. Such co-processors include for instance application-specific integrated circuits (ASICs), digital signal pro- cessors (DSPs), field-programmable gate arrays (FPGAs), graphics processing units (GPUs), etc. There are two typical strategies for utilizing hardware co- processors. One strategy is busy-waiting, in which the software task does not give up its privilege on the processor and has to wait by spinning on the pro- cessor until the co-processor finishes the requested work (see Figure 2(b) for an example). Another strategy is to suspend the software task. This strategy frees the processor so that it can be used by other ready tasks. Therefore, even in single-CPU systems more than one task may be simultaneously executed in computation: one task executing on the processor and others on each of the available co-processors. This arrangement is called limited parallelism [AB04b], which improves the performance by effectively utilizing the processor and the co-processors, as shown in Figure 2(a).
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Analysis and Application of Hydropower Real time Performance Calculation

Analysis and Application of Hydropower Real time Performance Calculation

The water density is considered as constant value tak- ing into account that full workload time of the turbine units are very close. The working water heads take the same value as well, referring to Tables 1 and 2, the water levels of the front pool remain around 1818 m with no much difference, and all the turbine intake centre lines are around 1708 m. By evaluating one month capacity and water consumption figure of the power generation in various workloads of the No.1 and No.3 units, taking about 8000 sets of data each measuring point, compari- son chart of the capacity and water consumption of the power generation in various workloads of the No.1 and No.3 units is produced in figure 6.
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Real  Time Ambulatory Monitoring System

Real Time Ambulatory Monitoring System

cardiovascular monitoring system, for implementation on an embedded device. An electrocardiogram is one of the major biomedical waveforms been commonly used for a prognostic of heart-related diseases. ECG is acquired simultaneously from different systematic points of the body. A heart is an electromechanical unit. To know the proper functioning of heart we are monitoring both heart rate and pulse rate. A pulse oximeter is a medical device that monitors both pulse rate and oxygen saturation in the patient’s blood. In this work, we propose a wearable device that a patient can use in his body and system can monitor the heartbeat of the patient and pulse rate. This paper mainly explains about real-time monitoring of heart rate, pulse rate and relative Blood Pressure through specially designed ECG circuit and transmission of data to a smartphone via Bluetooth.
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REAL TIME INTRUDER SURVEILLANCE SYSTEM

REAL TIME INTRUDER SURVEILLANCE SYSTEM

“Remote home surveillance system”, [6] this paper uses IP camera and Arduino board to explain the surveillance techniques. This paper describes the usage of a remote desktop application whenever the user wants to view it from outside. This technique won't send any sort of notification to the user whenever anything suspicious happens at his place. As a consequence he has to continuously monitor his place and accordingly is that it lacks alerts based on sensors.

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Design and Implementation of Continua Compliant Wireless Medical Gateway

Design and Implementation of Continua Compliant Wireless Medical Gateway

Systems working as medical gateways with embedded application are discussed in [8], [15], and [28]. In [14], [16], [21] [29], [28] designs have been explained which works with the modification of the hardware or software of a mobile phone to use it as gateway. In [8], the design and implementation of a two-fold Dual Radio ZigBee Homecare Gateway (DRZHG) has been proposed. Important features of the gateway are low latency, highly accurate telehealth service and zero configurations. This system has a ZigBee transceiver connected to a 32 bit Micro Controller Unit (MCU) through Universal Asynchronous Receiver/Transmitter (UART) interface. Here, the MCU processes the data and interacts with different communication interfaces for medical data collection. The ZigBee has lower data transmission rate and long transmission distance than Wi-Fi and Bluetooth [29]. The majority of Continua certified medical devices are communicating using Bluetooth and Bluetooth Low Energy (BTLE), which can't be supported by the proposed solution. Also, this system will need a ZigBee node for each medical device and this system is not continua compliant so, lacks interoperability.
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Introduction to Real Analysis

Introduction to Real Analysis

Without taking a position for or against the current reforms in mathematics teaching, I think it is fair to say that the transition from elementary courses such as calculus, linear algebra, and differential equations to a rigorous real analysis course is a bigger step to- day than it was just a few years ago. To make this step today’s students need more help than their predecessors did, and must be coached and encouraged more. Therefore, while striving throughout to maintain a high level of rigor, I have tried to write as clearly and in- formally as possible. In this connection I find it useful to address the student in the second person. I have included 295 completely worked out examples to illustrate and clarify all major theorems and definitions.
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Real Time Bus Tracking System

Real Time Bus Tracking System

The Real Time Bus Monitoring and Passenger Information bus tracking device is a system that is designed to display the real-time location of the buses in metropolitan cities. This bus tracking device will serve as a workable notification system that will effectively assist passengers in making the decision of whether to wait for the bus or to go for another option. The system will enable the tracking device to obtain GPS data of the bus locations, which will then be transferred to a centralized control unit. This system will contain transmitter module which will be installed on the buses, receiver boards installed on the bus stops, map of the bus transportation routes at the centralized controller. It will also have the information system software installed at the bus stops which will provide the user, the relevant information regarding all the bus number going from his source to destination and also the route details. The existing system find it difficult to stick to the given time schedule and reschedule its time if the bus is stuck in traffic or is late due to congestion of roads. The proposed real time bus monitoring system helps to overcome the disadvantage of this already existing system. The modules assemble will enable the tracking device to obtain GPS data of the bus locations. It will also transmit the bus number and its route as soon as the bus comes within the range of the receiver.
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Real Time Implementation of RTOS based Vehicle Tracking System

Real Time Implementation of RTOS based Vehicle Tracking System

disadvantage of requiring more memory and are also expensive. Now there are many open source Real Time Kernels been developed with lower memory foot print and less interrupt latency to work on small scale micro controllers. One of them is FreeRTOS which are designed for micro controllers with low memory foot print.

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Real Time Bus Position and Time Monitoring System

Real Time Bus Position and Time Monitoring System

Nowadays the operation of a bus system, the movement of vehicles is affected by unusual conditions as the day progresses such as traffic congestion, unexpected delays and randomness in passenger demand, irregular vehicle dispatching times and incidents. Due to which passengers are suffering and are waiting for their bus on their bus stops for long time since they do not have updated real time information about their buses. In a real-time setting, researchers are making effort to develop flexible control strategies, depending on the specific features of bus transport systems. This paper focuses on the implementation of a Real Time bus Tracking (RTBT) system, by installing GPS devices on city buses which will transmit the current location on GPS Receiver. Now the GPS Receiver will be interfaced with computer and interface driver will auto save data in dot text (.txt) file which will continue till GPS module is working. From here our application will retrieve data and store it in web server from where we will display real time information of bus. The real-time bus position and time monitoring system is a standalone system designed to display the real-time location(s) of the buses in city.
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Real time safety system for women

Real time safety system for women

In today’s world, women and girls still feel unsafe to travel alone whether it is a day or night. Now- adays women are been attacked by men irrespective of their ages. Women are facing various problems which include robbery/theft, rape, molestation, eve-teasing and various other difficulties. Keeping this in mind, a device has been modeled which offers a hands-on help to the women in danger with a single press of a switch/button. This device helps the women in danger to be easily located with the help of global positioning system (GPS) and also messages and calls are given to alert their respective emergency contacts which are already stored in the microcontroller using global system for mobile communication (GSM). [11] Hence this device serves handy when any women traveling outside feel insecure about her surroundings. The benefit of this system is that it provides the exact location (both longitude and latitude) of the person in danger.
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Analysis of Reliability of Real Time Surveillance System

Analysis of Reliability of Real Time Surveillance System

As shown in figure 1, computer samples the analogue signal of key timeline with A/D port and samples all digital signals with D/I port. Then the computer analyzes all signals sampled. The PLC system which supports the signals connects with D/I port by connector and connects with A/D port by connector and circuit of voltage reduction.

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Real-Time Monitoring System For Nursing Home

Real-Time Monitoring System For Nursing Home

Nowadays the population of elderly people is everywhere in the country. By monitoring the location of elderly place and surrounding area can prevent accident and reduce the risk. It became even more necessary because some of the elder has memory loss. But not all elderly want to live under surveillance because it is a privacy life. In nursing home, the staffs need to care almost a dozens of elderly in one time. Sometime there not enough staff to manage the elderly and surrounding area.

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ANALYSIS OF IRIS AND PUPIL PARAMETERS FOR STRESS RECOGNITION

ANALYSIS OF IRIS AND PUPIL PARAMETERS FOR STRESS RECOGNITION

neighbouring pixels in the image, we denote them as contour points too. Finally, after the edge detection has been completed, we apply the circular Hough transform to localize the pupil. In the case of a circle, this model has three parameters: two parameters indicate the centre of the circle and one parameter the radius. To detect a circle of the radius r, the circles of this radius are plotted in the Hough parameter space centered on each edge pixel found in the image. Thus, the array of peaks is formed for each edge pixel. Peak emerges when the circles in the Hough space intersect with each other. Peaks in the Hough parameter space indicate possible centres of the r radius circles. The problem is that we do not know both: where the pupil lies in the image and how big it is. In our case, we iterate the circular Hough transform each time with the different circle radius r and select the highest peak value in the formed peak array. After the parameters for the circle have been selected, we assume that we approximately found the pupil centre coordinates and the iris radius. After we have approximately calculated a radius of the circle and its centre coordinates, the next step is to choose the points that describe the pupil boundary. This is done by varying the circle radius on polar coordinates. In other words, we iterate the angle and the radius in polar coordinates found by the
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Real Time Monitoring and Control System for Industry

Real Time Monitoring and Control System for Industry

I have selected a particular SIM900 GSM module for my project. The messages are sent from the mobile set that contain commands in written form which are then processed accordingly to perform the required task. A microcontroller based system has been proposed for our project. There are several terminologies that are used extensively throughout this project paper. I have selected LM35 as Temperature Sensor. The LM35 thus has an advantage over the linear temperature sensors calibrated in Kelvin, as the user is not required to subtract a large constant voltage from its output to obtain convenient centigrade scaling. Humidity Sensor is HR-202 which gives output in Relative Humidity. It is depend on Temperature of the room. HR-202 is liner with output voltage.
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Real time Scholarly Retweeting Prediction System

Real time Scholarly Retweeting Prediction System

In this work, we propose a real-time scholarly retweeting prediction system by exploiting TSBs and scholarly features. We only focus on retweets made using the retweet button in Twitter. Under this circumstance, the tweet-retweet connection is unambiguously and can be retrieved directly by Twitter’s API. At first, we trace a data stream by tracking “paper accepted” in Twitter using the Twitter API, but there are some NSTs in the data stream, so we build a classification model to filter ST tweets. It is investigated that most STs consist of text blocks called Twitter Scholar Blocks (TSBs) indicating meta data, and we build a sequence tagger to extract TSBs to gather metadata information. At last, we build a binary classification model by combining TSBs with scholarly information in Twitter to predict whether the ST will be retweeted. Experimental results show that our system outperforms chosen baseline systems and has the potential to predict scientific impact in real-time.
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Real Time Smart Grid Load Management by Integrated and Secured Communication: Simulation and Experimental Validation

Real Time Smart Grid Load Management by Integrated and Secured Communication: Simulation and Experimental Validation

Numerous frameworks have been proposed for constant and secure correspondence of brilliant network. A few papers and writing have been sought out and think about. A portion of those are related with savvy framework engineering and correspondence conventions, In [6] a capable calculation is intended for legitimate arranging of every hub's correspondence in a multi-jump and multi-channel remote sensor organize. The creators defined the booking issue as far as numerical conditions for the remote sensor organize expected steering topology, and explain these conditions to activity the ideal planning arrangement. Creators in [7] have chacterize Robust Header Compression (ROHC) system is a kind of algorithm to compress the header of various IP packets on savvy matrix. Transfer speed use, low dormancy rate, diminished deferral are its additional attributes. In [8] information estimation has done utilizing various strategies for example Current transformers (CT), sensors and Potential transformers (PT). They made a correlation among IP and CNN and demonstrated CNN as best method. In [10] scientists have managed ongoing correspondence through an effective convention named as MODBUS. In [11] this paper, IPV6 has suggested that help in making association between proposed setup. It don't require application layer that makes its commitment at huge dimension in correspondence field [12]. This paper has utilized a strategy named as DSIPA. It is a light cater gory system which is in charge of assigning IP addresses to hubs in setup. Scientists in [13] have utilized a system of Secure Signal Processing that helps in making the above portrayed issue verified through encryption. So as to make this framework effective, exclusively houses are getting associated with SG. These new associations are making request reaction increased in value. In [15] bidirectional correspondence
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