International journal of advanced research in electrical, electronics and instrumentation engineering 

About: International journal of advanced research in electrical, electronics and instrumentation engineering is an academic journal. The journal publishes majorly in the area(s): Electric power system & AC power. Over the lifetime, 358 publications have been published receiving 625 citations.

Automatic Vehicle Accident Detection and Messaging System Using GSM and GPS Modem

Abstract: The Rapid growth of technology and infrastructure has made our lives easier. The advent of technology has also increased the traffic hazards and the road accidents take place frequently which causes huge loss of life and property because of the poor emergency facilities. Our project will provide an optimum solution to this draw back. An accelerometer can be used in a car alarm application so that dangerous driving can be detected. It can be used as a crash or rollover detector of the vehicle during and after a crash. With signals from an accelerometer, a severe accident can be recognized. According to this project when a vehicle meets with an accident immediately Vibration sensor will detect the signal or if a car rolls over, and Micro electro mechanical system (MEMS) sensor will detects the signal and sends it to ARM controller. Microcontroller sends the alert message through the GSM MODEM including the location to police control room or a rescue team. So the police can immediately trace the location through the GPS MODEM, after receiving the information. Then after conforming the location necessary action will be taken. If the person meets with a small accident or if there is no serious threat to anyones life, then the alert message can be terminated by the driver by a switch provided in order to avoid wasting the valuable time of the medical rescue team. This paper is useful in detecting the accident precisely by means of both vibration sensor and Micro electro Mechanical system (MEMS) or accelerometer. As there is a scope for improvement and as a future implementation we can add a wireless webcam for capturing the images which will help in providing drivers assistance.

GSM Based Home Automation System UsingApp-Inventor for Android Mobile Phone

Abstract: Nowadays, the remote Home Automation turns out to be more and more significant and appealing. It improves the value of our lives by automating various electrical appliances or instruments. This paper describes GSM (Global System Messaging) based secured device control system using App Inventor for Android mobile phones. App Inventor is a latest visual programming platform for developing mobile applications for Android-based smart phones. The Android Mobile Phone Platform becomes more and more popular among software developers, because of its powerful capabilities and open architecture. It is a fantastic platform for the real world interface control, as it offers an ample of resources and already incorporates a lot of sensors. No need to write programming codes to develop apps in the App Inventor, instead it provides visual design interface as the way the apps looks and use blocks of interlocking components to control the app’s behaviour. The App Inventor aims to make programming enjoyable and accessible to novices.

A Review Paper on Analysis of Electrocardiograph (ECG) Signal for the Detection of Arrhythmia Abnormalities

Abstract: 3 ABSTRACT - ECG conveys information regarding the electrical function of the heart, by altering the shape of its constituent waves, namely the P, QRS, and T waves. ECG Feature Extraction plays a significant role in diagnosing most of the cardiac diseases. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. This feature extraction scheme determines the amplitudes and interval in the ECG signal for subsequent analysis. The amplitude and interval of P-QRS-T segment determine the function of heart. Cardiac Arrhythmia shows a condition of abnormal electrical activity in the heart which is a threat to humans. The aim of this paper presents analyses cardiac disease in Electrocardiogram (ECG) Signals for Cardiac Arrhythmia using analysis of resulting ECG normal & abnormal wave forms. This paper presents a method to analyze electrocardiogram (ECG) signal, extract the features, for the classification of heart beats according to different arrhythmia. Cardiac arrhythmia which are found are Tachycardia, Bradycardia, Supra ventricular Tachycardia, Incomplete Bundle Branch Block, Bundle Branch Block, Ventricular Tachycardia, hence abnormalities of heart may cause sudden cardiac arrest or cause damage of heart. The early detection of arrhythmia is very important for the cardiac patients. Electrocardiogram (ECG) feature extraction system has been developed and evaluated based on the multi-resolution wavelet transform.

Comparison between IC and Fuzzy Logic MPPT Algorithm Based Solar PV System using Boost Converter

Abstract: The Solar power varies mainly depends on the weather conditions. Many new algorithms have been projected to track the maximum power point (MPPT) of the solar system. This paper, presents a comparative study of two intelligent control methods in order to optimize the efficiency of the solar PV system. This paper presents in details comparative study between Incremental conductance algorithm and fuzzy Logic controller algorithm applied to a DCDC Boost converter device. The Boost converter increases output voltage, it is depends on the duty cycle of switch device. The proposed controllers are adjusting the duty cycle of the DC-DC converter switch to track the maximum power of a solar PV array. Finally performance comparison between Incremental conductance and Fuzzy logic controller method has been carried out which has result shown the effectiveness of Fuzzy controller to draw more energy, decreases fluctuations and fast response, against change in variable weather condition. The final result show the fuzzy logic controller exhibits a better performance compared to Incremental conductance.

Solar PV Integration in Smart Grid - Issues and Challenges

Abstract: Smart grid technology is the key for a reliable and efficient use of distributed energy resources. The recent resurgence of interest in use of renewable energy is driven mainly by the need to reduce the high environmental effects of fossil based energy systems and diminishing fossil fuel reserves. Amongst all the renewable sources solar power takes the prominent position due to its availability in abundance. From technological point of view, solar PV has reached maturity. The challenges faced by grid operators now have less to do with core technology and more to do with integrating PV system to the grid. Recently, the concept of smart grid has been successfully applied to the electric power systems. Smart Grids can integrate solar sourced electricity such as Rooftop solar PV along with traditional power generation allowing higher flexibility to have localized and right sized power plants with reduced transmission loss, zero environmental concerns and higher efficiency. This paper discusses smart grid infrastructure issues and challenges of integrating Solar PV sourced electricity in the smart grid.