var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Evaluation of safety barriers deduced from the HAZOP study of fired heater F201-101, ADRAR refinery, Algeria using ETA method';
document.write(linkifyHtml(str, options));
]]>
Safety]]>
probabilistic risk assessment]]>
outcome frequency]]>
event tree analysis]]>
This paper described the method of event tree analysis that is commonly used to identify, characterize and estimate the risk. Quantitative estimates for probability of breach or failure and the resulting consequences can be obtained using event trees. Qualitative depictions of potential failure modes and consequences can also be developed using event trees. An event tree analysis (ETA) is an inductive procedure that shows all possible outcomes resulting from an accidental (initiating) event. An event tree consists of a sequence of interconnected nodes and branches. Each node defines a random variable that represents an uncertain event or state of nature. Branches originating from a node represent each of branches to represent the likelihood for each event or condition. These probabilities are conditional on the occurrence of the preceding events to the left in the tree. Our work includes a HAZOP study to determine the necessary safety barriers as a first step. And as a second step is their evaluation using ETA method of fired heater F201-101, ADRAR refinery, Algeria. This particular method is well suited to estimating the risk stemming from process plant failure. Neither the initiators of industrial accidents nor the layers of protection that prevent them are typically complex, that is, they do not usually require analysis by redundant systems or the time for on-line repair. Thus, they can be accurately characterized with the probability multiplication methods that from the basis of event tree analysis.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Naoual, BATOUT';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BENDIB, Riad';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'ZENNIR, Youcef';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 47-52]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 BATOUT Naoual, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/95/78]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/95]]>
10.51485/ajss.v5i1.95]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Robust MRAC-based adaptive control of a Doubly Fed Induction Generator (DFIG) in a Wind energy system using a fractional order Integrator';
document.write(linkifyHtml(str, options));
]]>
Doubly fed induction generator (DFIG)]]>
Renewable energy]]>
MRAC]]>
FOMRAC]]>
Robustness]]>
This paper presents a robust control of doubly fed induction generator for wind generation system. The whole system is presented in d-q-synchronous reference frame. We propose the implementation of adaptive control with integer model reference MRAC, fractional model reference FOMRAC with integer and fractional order control law design for active and reactive power supervision control in the doubly fed induction generator (DFIG) for wind energy systems. The objective is to realize a comparative study between the classical regulator MRAC and the proposed FO-MRAC with integer and fractional order control law in order to demonstrate the robustness of the fractional order adaptive control with fractional order integral in control law comparatively to integer order one. Performance and robustness results obtained will be presented and analyzed.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Djebbri, Sihem';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Balaska, Hanane';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'LADACI, Samir';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 40-46]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Sihem Djebbri, Hanane Balaska, Samir LADACI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/94/77]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/94]]>
10.51485/ajss.v5i1.94]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Design of Decentralized Fractional Order PIʎ Controller for Pilot Plant Binary Didtillation Column';
document.write(linkifyHtml(str, options));
]]>
Decentralized PI controller]]>
Pilot plant binary distillation column]]>
TITO]]>
PSO]]>
Integral criterion]]>
This paper presents the application of fractional order operators to improve the control quality of multivariable systems. The basic ideas of this tuning method are based, in the first place, on the existed tuning methods for setting the parameters of the decentralized fractional order PIʎ controller for ʎ=1, which means setting the parameters of the classical decentralized PI controller, and the minimum integral criterion by using Particle Swarm Optimization (PSO) algorithm for setting the fractional integration action order ʎ. The integral criterion is formulated to improve the dynamic response of the system, while causing a good decoupling between control loops. The Distillation Column, which is a multivariable system with two inputs and two outputs (TITO), in a decentralized control structure, is analyzed. Simulation results are presented to show the control quality improvement of this proposed decentralized fractional order PIʎ controller tuning method compared to the decentralized PI controller tuned using any existed tuning method.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BETTOU, KHALFA';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'CHAREF , ABDELFATEH';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 33-39]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 KHALFA BETTOU, ABDELFATEH CHAREF]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/93/76]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/93]]>
10.51485/ajss.v5i1.93]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Risk Assessment of a Gas Plant (Unit 30 Skikda Refinery) Using Hazop &Bowtie Methods, Simulation of Dangerous Scenarios Using ALOHA Software';
document.write(linkifyHtml(str, options));
]]>
Safety]]>
probabilistic risk assessment]]>
outcome frequency]]>
event tree analysis]]>
Process plant and chemical processes are complex and large systems, consisting of thousands of devices interacting with each other [76][45]. The structure of this type of industrial plants lead to difficulties in process control, hence deviations from the operation objectives or desired states. These deviations creates abnormal situations that drive products out of specification, increased operational costs, shut downs and even worse they can cause accidents, which may lead to damages of equipment, environment and affect the health. identifying hazards is fundamental for ensuring the safe design and operation in process plants. Based on the idea of learning from accidents, several techniques and standards are available to identify hazardous situations and help companies to build up strategies to avoid the hazards. In this s work we present a study based on two methods BOWTIE and HAZOP methods applied for an LPG a plant for gas separation located in SKIKDA refinery which is considered as the most important refinery in Algeria where the treatment capacity reaches more than 15 millions tones per year of crude oil. Several recommendations raised from our study to improve the safety of the plant particularly since it is considered as an old plant start working since 1980. The study is completed by simulating the deduced dangerous scenarios using ALOHA software.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BENDIB , Riad';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'MECHHOUD, Elarkam';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BENDJAMA , Hanane';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BOULKSIBAT, Halima';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 25-32]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Riad BENDIB , Elarkam MECHHOUD, Hanane BENDJAMA , Halima BOULKSIBAT]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/92/75]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/92]]>
10.51485/ajss.v5i1.92]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Analysis and Control Design for a Class of Fractional Order Time-Delay Systems';
document.write(linkifyHtml(str, options));
]]>
Fractional order control]]>
Time-delay systems]]>
Fractional PID controller]]>
Relay method]]>
Parameters adjustment]]>
In this paper, we consider a class of fractional order time-delay systems and propose a fractional order control design for their stabilization. The controller parameter’s adjustment is achieved in two steps: first, the relay approach is used to compute satisfactory classical PID coefficients, namely kp, Ti and Td. Then, the fractional orders ʎ and µ are optimized using performance criteria. Simulation results show the efficiency of the proposed design technique and its ability to enhance the PID control performance.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BOUDANA, Marwa';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'LADACI, Samir';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'LOISEAU, Jean Jacques';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 18-24]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Marwa BOUDANA, Samir LADACI, Jean Jacques LOISEAU]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/91/74]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/91]]>
10.51485/ajss.v5i1.91]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Fuzzy LOPA for the evaluation of accident scenarios and risk reduction measures in suppler manner';
document.write(linkifyHtml(str, options));
]]>
Fuzzy LOPA]]>
Uncertain and imprecise]]>
Reduced frequencies consequence]]>
Risk assessment]]>
The analysis and evaluation of risks by the LOPA method requires the presence of certain data and information on the various risk evaluation parameters such as, the frequencies of initiating events, the probabilities failures of the security barriers and also probability of ignition .This data is generally obtained from the history of the system analyzed. In the absence or lack of data on the state of the system, other sources such as databases and expert judgment are used. Despite the fact that the choice of data is made while respecting the adaptation of this data to the system studied, based on its history and on similar systems having the same mode of operation, it seems important to emphasize the fact that imperfections are not properly taken into account. Linked to the data used by the various risk analysis methods including the LOPA method, the results are always uncertain and imprecise. To address such a problem, we use the "fuzzy LOPA" approach. As a case study, we used an operational industrial system which is a heater H-101.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Hellas, Mohamed Seddik';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Chaib, Rachid';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 10-17]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Mohamed Seddik Hellas, Rachid Chaib]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/90/73]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/90]]>
10.51485/ajss.v5i1.90]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Traffic Urban Control Using an Intelligent PSO Algorithm Based on Integrated Approach';
document.write(linkifyHtml(str, options));
]]>
PSO]]>
large scale-optimization]]>
Prediction]]>
traffic flow modelling]]>
traffic lights]]>
Petri nets]]>
In this paper, we intend to contribute to the improvement of urban traffic mobility using a learning method of traffic lights controllers. We proposed a Particle Swarm Optimization (PSO) method in which the intelligent swarm acts as the cycle time of the traffic signal. The best swarm (solution found) meets the evaluation criteria selected to describe desired objectives. The main measures of traffic lights efficiency are to maximize flow-rate at which vehicles can cross a road junction and minimize the additional travel time of the driver called vehicle delay. Particle Swarm Optimizer was coupled with the traffic flow model based on Continuous Petri nets (PN). One potential advantage of CPN model is to provide insights regarding a behavior of the platoon of vehicles on the target road network. The result obtained from this study has tested with various scenarios related to intersections in different situations. The developed self-scheduling of the optimal signal timing ensures safety and continuous traffic flow, thus increasing the mobility and reducing fuel consumption and pollutant emissions.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'DIAF, Radja';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'TOLBA, Cherif';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Nait Sidi Moh, Ahmed';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 1-9]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Radja DIAF, Cherif TOLBA, Ahmed Nait Sidi Moh]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/89/72]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/89]]>
10.51485/ajss.v5i1.89]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Efficient lock and home security system';
document.write(linkifyHtml(str, options));
]]>
door security]]>
RFID badge]]>
smartphone]]>
GSM]]>
remotely locked/unlocked]]>
This work deals with lock and home security systems. First, Motion sensors detect movement indoors and outdoors to guard against intruders, protect valuables and more. Thus, if any movement, RFID reader will be activated and database will be scanned to identify the persons who have the access to the home. This enhances the effectiveness of the security system and provides the user with the complete, whole-house protection he needs. An RFID badge can be used to unlock the door and access to the home. Alerts also are received on the smart phone if motion is sensed in a protected area inside or outside; giving the user the information it needs to act quickly. The door can also be remotely locked/unlocked. A microcontroller (ATmega2560) is used to control the entire system, and GSM is used to send alerts to the Smartphone. An Ethernet shield that connects the microcontroller to the database (DB) is also added.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BELAIDI, Hadjira';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'MEDDAH, Nour-El-Houda';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 2 (2019); 112-120]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i2]]>
Laboratory of Signals and Systems, Algeria]]>
2019-12-15]]>
Copyright (c) 2019 Hadjira BELAIDI, Nour-El-Houda MEDDAH]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/87/71]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/87]]>
10.51485/ajss.v4i2.87]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'Power Quality Detection, Classification and Monitoring Using LABVIEW';
document.write(linkifyHtml(str, options));
]]>
Power quality]]>
Detection]]>
Classification]]>
Monitoring]]>
LABView]]>
In recent years, Power Quality becomes increasingly a major concern for both electric utilities and end users. Accordingly, the electrical engineering community has to deal with the analysis, diagnosis and solution of PQ issues using system approach rather than handling these issues as individual problems. This paper describes the analysis of PQ using advanced signal processing tools represented in Hilbert & Wavelet Transforms (HT-WT) and artificial intelligence tools represented in Artificial Neural Network & Support Vector Machine (ANN-SVM) for detection and classification of power quality disturbances respectively. These techniques were successfully simulated using LABVIEW software capabilities. The results of simulation indicate that the signal processing techniques are effective mechanisms to detect and classify power quality disturbances. At the end, the combination of WT as a tool of detection and features extraction with SVM as a classifier tool resulted as the best combination for PQ monitoring system.]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'DEKHANDJI, Fatma Zohra';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'TALHAOUI, Salim';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'ARKAB, Youcef';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 2 (2019); 101-111]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i2]]>
Laboratory of Signals and Systems, Algeria]]>
2019-12-15]]>
Copyright (c) 2019 Fatma Zohra DEKHANDJI, Salim TALHAOUI, Youcef ARKAB]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/86/70]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/86]]>
10.51485/ajss.v4i2.86]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'A Smart Metering Simulation in LABVIEW';
document.write(linkifyHtml(str, options));
]]>
Smart Grids]]>
Smart Meters]]>
Load Control]]>
LABView]]>
The smart grid delivers electricity from producers to consumers using two-way digital technology and considers the involvement of the user. The implementation of smart grids should start at the consumer side using smart meters, control devices and a communication link. Smart metering is the bridge between smart buildings and smart grids. It is viewed as a crucial factor for an efficient functioning of the internal electricity market and a successful implementation of the renewable energy and security of supply. The replacement of the currently used electromechanical meters with smart digital meters along with domestic load controllers is identified for better energy conservation at the consumer side .These devices can be remotely read and are able to measure consumption multiple times per day which is beneficial for a good demand response, customer feedback and energy management. The purpose of the present paper is to illustrate how smart meters operate and how their implementation can improve the current grid]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'RECIOUI, Abdelmadjid';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'DJEMAI, Hassiba';
document.write(linkifyHtml(str, options));
]]>
var options = {
attributes: {
rel: 'nofollow',
title: 'click to open',
},
className: '',
format: {
url: function (value) {
return value
}
},
ignoreTags: ['a'],
validate: {
url: function (value) {
return value;
}
}
};
var str = 'BOUCENNA, Farah';
document.write(linkifyHtml(str, options));
]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 2 (2019); 89-100]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i2]]>
Laboratory of Signals and Systems, Algeria]]>
2019-12-15]]>
Copyright (c) 2019 Abdelmadjid RECIOUI, Hassiba DJEMAI, Farah BOUCENNA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/85/69]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/85]]>
10.51485/ajss.v4i2.85]]>