Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

In this solar panel design parameters, using the Lambert function has been studied. With this function by using the experimental results, we investigated the effect of shadows And found that there is a shadow on a cell reduces the open circuit voltage and short circuit current increases. Interest and also reduces congestion and increases the saturation current of the first diode and the first diode parallel resistanceAnd the second diode is ideal factor And photo-current generated in the cell ...

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Transient Stability Margin Assessment of a Power System Using Multi-Layered Perceptron Neural Network

Transient Stability Margin Assessment of a Power System Using Multi-Layered Perceptron Neural Network

Online transient stability assessment of a power system is not yetfeasible due to the intensive computation involved. Artificial neuralnetworks have been proposed as one of the approaches to this problembecause of its ability to quickly map nonlinear relationships between theinput data and the output. This paper presents a methodology forestimating the normalized transient stability margin by using themultilayered perceptron neural network. The complex relationshipbetween the input variables ...

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DSA Generation using Micro Ring Resonators

DSA Generation using Micro Ring Resonators

A novel system of dark soliton array (DSA) for secured communicationgenerated by using the multiplexed dark soliton pulses is proposed.Different wavelength of soliton pulses with relevant parameters areinput into the micro ring resonators system with the radii of 7 mu;m and2.5 mu;m, where the dynamic dark solitons can be generated. The DSAare obtained by using a series micro ring resonators with parameterswhere in the wavelength range of lambda;1 is 1516 nm , lambda;2 is 1518 nm and ...

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Remote classification of images using the new fuzzy clustering algorithm based on the weight

Remote classification of images using the new fuzzy clustering algorithm based on the weight

Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new weighted fuzzy C-Means (NW-FCM) algorithm is proposed to improve the performance of NW-FCM models for high-dimensional multiclass pattern recognition problems and its result has been compared with the results of FCM, NFCC, and NW-FCM fuzzy clustering algorithm. The methodology used in NW-FCM is the concept of weighted mean from the ...

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Removal of acid red 151 dye from aqueous solution using palm shell by adsorption: Isotherm Adsorption studies

Removal of acid red 151 dye from aqueous solution using palm shell by adsorption: Isotherm Adsorption studies

The objective of this research is removal of Acid Red 151(A.R.151) from aqueous solutionusing palm shell as low-cost adsorbent. The operating parameters such as pH solution, doseof adsorbent, initial dye concentration were investigated. Results showed that pH: 3, dose ofadsorbent: 2g/L and initial dye concentration: 20mg/L were the most suitable. In this study,the best fit of the adsorption isotherm data was obtained using the Langmuir model and showfavorable adsorption of A.R.151 dye with ...

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Evaluation of siesmic vulnerability of Tehran water transmission pipelines using GIS

Evaluation of siesmic vulnerability of Tehran water transmission pipelines using GIS

Evaluation of seismic vulnerability of lifelines and specially water pipelines is essential for decision making regarding planning for reform and reconstructing of vulnerable components of the water transmission and distribution systems. This paper presents a method to assess the seismic vulnerability of water transmission lines in Tehran based on GIS data. According to this method at first dominant factors in seismic performance are introduced and then the impact type of each parameters has ...

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Security Constrained Unit Commitment in Power Systems Using Hourly Demand Response and Renewable Energy

Security Constrained Unit Commitment in Power Systems Using Hourly Demand Response and Renewable Energy

Integration of wind units into power system introduce various sourcesof technical and economical challenges to operation of power systemdue to its inherent uncertainty and variability. In operation of powersystem, stochastic wind generation can affect on the system security. Inthis paper, optimal security-constrained unit commitment (SCUC) inpresence of demand response program (DR) based on stochastic windgeneration is proposed as a novel method of SCUC to address thementioned concern. In order ...

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To determine the best clustering in Wireless Sensor Network protocol using fuzzy TOPSIS to increase their longevity

To determine the best clustering in Wireless Sensor Network protocol using fuzzy TOPSIS to increase their longevity

Charging node is a kind of activity which become so difficult by densedeployment and regulatory nature of wireless sensor network. Thelifetime of the network and initial parameters are improved byclustering to facilitate the evaluation of wireless sensor networkperformance. According to the network lifetime, the best protocol incomparison to each other will be provided by presenting a famous andwell known protocol and also qualitative assessment criteria and theprotocol analysis in wireless ...

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Ammonia sensor using N-doped graphene quantum dotspolyaniline composite

Ammonia sensor using N-doped graphene quantum dots/polyaniline composite

The present study investigated a resistive ammonia (NH3) gas sensorfabricated using polyaniline (PANI) and N- doped graphene quantumdots (N-GQDs) dopant on a transparent and flexible substrate withinterdigitated electrodes. The sensing response of the PANI to NH3increased from 9.12 to 86.91 at 1500 ppm with the addition of 50 wt%N-GQDs. This shows that sensing response of N-GQDs/PANI sensorfor NH3 detection is enhanced by the N-GQDs added into PANI. It canbe attributed to the pi;- pi; ...

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Prediction of Water Quality of Ajichay River using developed Artificial Neural Network and Supporting Vector Machine Models

Prediction of Water Quality of Ajichay River using developed Artificial Neural Network and Supporting Vector Machine Models

International efforts have been launched to save the endangered Urmia Lake as one of the largest natural lake worldwide. Ajichay River located in East Azarbaijan province, Iran, is one of the main rivers discharging into this lake and, thus, its water quality can directly affect the Urmia Lake ecosystem and life. In this research, we develop and propose two new numerical packages on the basis of Artificial Neural Network (ANN) and Supporting Vector Machine (SVM) models to estimate the monthly ...

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