Journal des systèmes électriques et électroniques

This article presents a new tuning approach for an adaptive internal-model-principle based signal identification algorithm whose computational costs are low enough to allow a realtime implementation. The algorithm allows an instantaneous Fourier decomposition of non-stationary signals that have a strongly predictable component. The algorithm is implemented as a feedback loop resulting in a closed loop system with a frequency response of a bandpass filter with notches at the frequencies of the Fourier decomposition. This is achieved through real time selection of the coefficients of the transfer functions in the feedback loop. Previously these coefficients were selected by solving a large set of coupled linear equations. Rules for explicitly solving for these parameters are given that only involve evaluating frequency responses at the frequencies of the instantaneous Fourier decomposition. This allows realtime implementation on a low cost lap top with sampling rates up to 10 kHz.

The world is becoming unsafe for women in all aspects. The crimes against women are increasing at a higher rate. The employed women are feeling unsafe due to increasing crimes. This paper proposes a quick responding mechanism that helps women during trouble. When someone is going to harass, she can press the button that is attached to the device and the location information is sent as an SMS alert to few pre defined emergency numbers in terms of latitude and longitude. The microcontroller used is PIC16877A. It is interfaced with a push button, a GPS module, a GSM modem and a speech circuit (ISD1820PY). If the switch is pressed, it activates the speech circuit to capture the attention of the people nearby for help. The program is developed in embedded language to demonstrate the system capability in providing real time response. Thus the girl can be safe and she can feel protected.

A novel non-linear power point tracking method of photovoltaic system (PV) based on synergetic control strategy is proposed. This technique uses a synergetic control strategy to achieve the maximum power point output without a chattering phenomenon. The PV system consists of a PV panel, DC-DC boost converter, MPPT controller and an output load. Synergetic control is easy to implement, has controllable dynamics towards the origin and gives a good maximum power operation under environmental changes (solar radiation and PV cell temperature).To show the robustness and validity of this approach a mathematical model is presented and simulated using Matlab/SIMULINK under different atmospheric conditions. Indeed, the simulation results showed the advantages of this new algorithm, especially the reduction of the chattering problem.

Matrix decomposition accelerators are attractive SoC components for many applications with a wide range of specifications. In this work, a new family of highly area- and energy-efficient modular matrix decomposition architectures based on the givens-algorithms and CORDIC rotations are elaborated. Accurate algebraic cost models enable for early cost estimation as well as for cross-level optimization over architecture, micro-architecture and circuit-level using a rich set of parameters. Quantitative results for an exemplary QRD application, implemented in 40-nm CMOS technology, are presented.

In both wired and wireless networks, synchronization is an important service for a wide range of applications in distributed systems. This includes radio interferometry. However, literature researches show that many distributed protocols cannot satisfy sub-ns time synchronization accuracy due to asymmetric delay errors, accumulated jitters and because of the strategy used to adjust offsets. This paper proposes a global time synchronization algorithm in distributed networks. The algorithm allows us to minimize asymmetric delays with sub-ns accuracy better than 10ps and achieved global time synchronization. The theory of the algorithm used is presented and analysed to prove that it achieves global time synchronization. Simulation results are given to show the performance and limitations of the proposed algorithm.

Internet of things is the collection of gadgets and embedded objects to gather and exchange data by the usage of internet. The internet of things with intelligent transport system (ITS) has become the elucidation for the navigation of vehicles, traffic signal control systems, and automatic number plate identification. It has been evolved in applications for providing contemporaneous data and feedback from diverse sources such as weather information, parking guidance and also the gentrify traffic information from time to time. The proposed system focuses on dynamic traffic light sequence based on the traffic density in order to decrease the rate of accidents at intersection of roads. The obstacles that may or may not occur at intersection are recognized and warned by usage of an alert system and a notification is generated. The traffic management is used to supervise and retrieve current status of traffic and violators are discovered. This is mainly done to evacuate the traffic congestion and accidents at peak hours.

Cognitive radio technology is a modernistic technology by which the idle licensed spectrum can be used by an unlicensed user which are called cognitive radio CR or secondary users. The CR technology was found to overcome the spectrum incompetence and inefficiency usage troubles. The major motivation of CR technology is current heavily underutilized of spectrum. Surly the primary user PU had all rights to use his spectrum band so CR mustnt interfere it on that band. Here we have to discuss about energy detection which is one of spectrum sensing techniques in CR functions and how to obtain the best available spectrum, to detect the spectrum hole, to estimate the optimum threshold voltage that produce the minimum Probability of false alarm and finally to enhance energy detection sensing algorithm by using MATLAB simulation.

The goal of this paper is to analyze the effect of the magnetic field, applied to a blood tissue whose walls present an aneurism arterial. The interest of this study is to evaluate the rate of influence, if there existed, of the applied magnetic field and to check the preconceived validity of the magneto therapy. The FLUENT computational fluid dynamic code is used to carry out all computation in this work, which is selected to resolve the MHD equations.

In order to increase pump efficiency and apply an optimum design method of a low specific speed centrifugal pump less than 127 [m, m3/s, min-1], twelve kinds of volute casing with the same impeller are designed at impeller blade outlet angle of 34 degree. With each volute tongue shape, there is one volute casing, respectively. The effect of these volute casing shapes is investigated by using computational fluid dynamics (CFD). In this present study the optimum design method in combination of volute tongue shape operating variables for pump performance enhancement is analyzed. Based on design of experiments (DOE) technique, the required experiment trials are determined. The optimization results are pointed out. The parameters chosen for optimum design are the volute tongue angle and the gap between impeller and tongue. The levels for the parametric specification are chosen in the ranges where the pump gets the best efficiency. The results demonstrate that the conventional design is not suitable for a low specific speed. After optimizing the volute tongue, the pump achieves the best performance at 0o of the volute tongue angle with the appropriate gap between impeller and volute tongue. It is observed that pump efficiency was improved up to 75.01%.

The asset management of electrical power systems both in industry and academia currently offers up a wide spectrum of engineering practices and guidance to detect, diagnose and to combat asset deterioration. In doing so research largely aims to better enable enhanced decision or prediction making in single engineering applications such as partial discharge or dielectric condition measurements. This paper reviews the current state of the art as related to electrical asset management and sets out how todays engineering and maintenance heavy approaches are insufficient to meet the nature of the complex adaptive (Generation, Transmission & Distribution) systems. Furthermore this paper explains the need for a truly holistic governance framework capable of managing such complexities for power companies by using complex adaptive system science whilst grounded in the engineering, business and socio-technical attributes that applied engineering makes possible. In addition this paper outlines how utilising retroductive case study with hypothesis framework represents the best approach in creating such a fully holistic asset management capability for power companies.

A supermarket or a hypermarket is a form where wide variety of product items is available. These product items can be food, beverages or any household product. The main purpose of supermarkets is to provide availability of all the products and save the time of the customers but sometimes customer gets frustrated while waiting in the queue at billing counter and sometimes they get confused while comparing the total price of all the products with the budget in the pocket before billing. To overcome these problems, we have designed a smart trolley using a smart phone and Arduino. With this system, there is no need for customer to wait in the queue for the scanning for the product items for billing purpose. Supermarkets or Hypermarkets provide this faculty to only those customers which having membership cards. When the customer inserts the membership card in the basket or trolley only then it will work as a smart trolley. Otherwise, it will work as a normal trolley. Supermarkets and hypermarkets use this technique as a strategy to increase the number of customers.

The main aim in the present field is Automation, reduce Power consumption and also reduce the cost. Automation is necessary to reduce man power. Wireless communication has become an important role in the field of automation. Combination of an embedded system and wireless communication used in designing of various applications ranging from home automation to industrial automation. The aim to substitute the traditional pen and paper method by the automating menu ordering system to save the time consume by traditional menu ordering system. We use ZigBee pro and SQL Server database to develop the automatic ordering system. Due to this system customer can easily order the food from table. Also the serving of food is easier and serves on first come first serve basis. Also manager get all the information of food material available after every order in the kitchen.

Solar System is now widely used for green energy generation. However there arises a problem in voltage levels which affects the system stability. As the solar cell generates fewer amounts of charges we have to use a controller to maximize the efficiency. In this project MPPT method is developed with LM324 comparator with Optocoupler. The results are taken from wireless technique of Bluetooth module and a display panel interfacing with Arduino UNO. This system protects the battery from over charging and deep discharging to increase battery life.

Network Security has become a major and critical issue as a result of the vast growth in the field of Information Technology. This paper adopted the result of an existing extraction or attributes selection of KDD ’99 dataset. The dataset was run on data de-duplicated software developed using C# Programming Language and final mining analysis was carried out on Waikato Environment for Knowledge Analysis (WEKA) with the adoption of PART and Decision Table algorithms. The performance evaluation was carried out with some related existing works based on certain intrusion detection metrics. The Classification Rate of Decision Tree Rule, Part Rule and JRIP Rule are 98.14%, 99.4% and 99.1%, respectively. The False Alarm Rate of Decision Tree Rule, Part Rule and JRIP Rule are 0.86%, 0.43% and 0.55% respectively. The Sensitivity of Decision Tree Rule, Part Rule and JRIP Rule is 92.6%, 98.3% and 97.2% respectively while the Specificity of Decision Tree Rule, Part Rule and JRIP Rule is 99.1%, 99.6% and 99.4% respectively.