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List of Articles
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Open Access Article
1 - Improving Students' Performance Prediction using LSTM and Neural Network
Hussam Abduljabar Salim Ahmed Razieh AsgarnezhadEducational data mining utilizes information from academic fields to develop renewed techniques and spot unusual patterns to gauge students' academic achievement. Evaluating student learning is a complicated issue. Data mining in this field enables to predict students' MoreEducational data mining utilizes information from academic fields to develop renewed techniques and spot unusual patterns to gauge students' academic achievement. Evaluating student learning is a complicated issue. Data mining in this field enables to predict students' performance to recommend performance in universities. Therefore, the current authors have recently seen the rapid growth of data mining and knowledge extraction as tools used by academic institutions to optimize student learning processes. Here, a method based on a certain kind of artificial neural network called Long Short Term Memory recurrent neural network for prediction will operate. The proposed approach tries to use the educational characteristics of different people to predict the best educational process future educational. It career for students and thereby take steps to improve the effectiveness of the educational system. For comparison, one of the newest algorithms presented in this field was implemented using the proposed technique. The evaluations' findings were performed in the form of two scenarios with different data sizes and different amounts of test and training data. For the evaluation, the dataset taken from an online educational system was used. The evaluation results are presented in the form of four well-known criteria precision, recall, accuracy, and F1, which demonstrate the superiority of the proposed method. Manuscript profile -
Open Access Article
2 - Effect of Absorption Coefficients in Upper Efficiency Limit of Intermediate Band Solar Cells
Mohammad ErshadiIn this paper the idea of an intermediate band solar cell which increases the efficiency of solar cells is considered. By using quantum dots the idea of intermediate band solar cell can be achieved in acceptable level. Actual results of using quantum dots have been led MoreIn this paper the idea of an intermediate band solar cell which increases the efficiency of solar cells is considered. By using quantum dots the idea of intermediate band solar cell can be achieved in acceptable level. Actual results of using quantum dots have been led to decrease efficiency of solar cell. The effect of absorption coefficients on upper limit of efficiency in special type of solar cell is focus in this paper the main factors which have most impact on the upper limit of efficiency of our position of intermediate bands and consequently the structure of quantum dots. Furthermore, the changes in cell characteristics, quantum dots type, quantum dots structure, and even polarization of the incident light can change the upper limit of efficiency. Changes distances layers of quantum dots create different results for different polarization of light for upper limit of efficiency. Using the results of this research can be a way to new research in the field of solar cells with quantum dots and the optimum use of solar cells will be useful. Manuscript profile -
Open Access Article
3 - Biosensor for detection of biological components using photonic crystal
Zohreh DorraniIn biosensors, the investigated material is biological components such as cells, proteins, and nucleic acids. All compounds of living organisms have sensors with functions similar to mechanical sensors. Most of these sensors are special cells sensitive to the external e MoreIn biosensors, the investigated material is biological components such as cells, proteins, and nucleic acids. All compounds of living organisms have sensors with functions similar to mechanical sensors. Most of these sensors are special cells sensitive to the external environment's physical characteristics such as light, movement, temperature, magnetic field, gravity, humidity, vibration, pressure, electric fields, sound, etc. Biosensors can be made using photonic crystals, an example of which is designed here. In order to check the biomolecule detection ability by the biosensor, the refractive index around the sensing hole is changed and the output transmission spectrum is limited. By changing the refractive index, the transmission spectrum can be measured, which enables the sensor to identify biological molecules. In this study, a sensor was designed that is capable of detecting biological molecules. This sensor has good sensitivity, which makes it capable of measuring in a small size. The sensor can accurately predict the result, so this sensor is very suitable for medical purposes. Manuscript profile -
Open Access Article
4 - Presenting a New Model of Optimal Coordinated beam former Vector Selection in DRFM for Radar Jamming
Hasan Mohammadi khodadad Halili Vahidreza Soltaninia Meysam Bayat Saeed TalatiDigital Radio Frequency Memory (DRFM) is a technique that uses high-speed sampling and digital memory to store radio frequency and microwave signals. DRFM is a popular technique for implementing false-target ECM systems. DRFM is a technique that stores and reproduces ra MoreDigital Radio Frequency Memory (DRFM) is a technique that uses high-speed sampling and digital memory to store radio frequency and microwave signals. DRFM is a popular technique for implementing false-target ECM systems. DRFM is a technique that stores and reproduces radio frequency (RF) and microwave signals. Input an RF signal that has been converted to a frequency sufficient for sampling by a high-speed A/D converter (ADC). The sampled signal is stored in a high-speed memory and can be retrieved and converted to the original signal using a D/A converter (DAC). In this article, the principles and architecture of DRFM have been reviewed and to improve the performance of this system, the method of interference matching has been proposed using a coordinated beam shaper to improve the performance of this system in creating interference. This article, it is presented to evaluate the proposed method in improving the interference values and BER in the method based on the improvement of the coordinated beam former. For this purpose, a DRFM was considered for disruption. Then the proposed method was implemented with the help of signal processing and in MATLAB software on this DRFM. In the proposed method, an objective function is considered by considering the increase in the number of objectives in proportion to the fulfillment of the acceptable rate. Based on this objective function, the amount of interference and BER has been reduced. The effect of increasing targets on interference and BER has been investigated in evaluating the proposed method. For this purpose, the SINR value was changed, and based on the change of the SINR value and the change in the number of targets, the evaluation was done. The obtained results show that with the increase in the number of targets, the amount of interference and also the amount of BER have increased. The increase in the number of targets in the proposed optimal and quasi-optimal coordinated beam former method with the increase in the number of targets is much less than that of the coordinated beam former. It is also the reason for this superiority. Also, the desired optimization function in the stated situations has caused this importance to be taken into account. The proposed method has been evaluated in terms of bit error rate and interference. The evaluation results show a reduction in bit error rate up to 6%, and interference up to 5% compared to the coordinated beam former as the number of targets increases. Manuscript profile -
Open Access Article
5 - Amplitude Symmetry Detection for Interfering Signals in CNC Satellite Communications
Habib Alizadeh Mohsen Rezaee Morteza BabaeiSatellite communications technology developed rapidly and plays important role in communication networks. In the meantime, CNC satellite communication has received much attention due to its high spectral efficiency. However, the analysis of this type of communication si MoreSatellite communications technology developed rapidly and plays important role in communication networks. In the meantime, CNC satellite communication has received much attention due to its high spectral efficiency. However, the analysis of this type of communication signal in non-cooperative receivers is associated with many challenges due to the nature of time-frequency overlap. The proposed methods in this field have been developed assuming either symmetry or asymmetry in the amplitude of the two interfering signals. However, a reliable method to detect the amplitude symmetry in the non-cooperative receivers is missing in the literature. Thus, in this article, the symmetry or asymmetry of the amplitude of time-frequency overlapping signals of these type of communications has been analyzed using higher-order statistics. For this purpose, the mathematical relationships of higher-order statistics for the model of time-frequency interfering signals received in the non-cooperative receiver have been developed. Then, the appropriate decision function is defined based on different ratios of higher-order statistics of the received signal. This decision function is used to detect amplitude symmetry or asymmetry in time-frequency overlapping signals for CNC communication. The simulations show that the decision-making function based on the sixth and fourth ratio cumulants is a reliable metric, such that the probability of correct classification at signal-to-noise levels higher than 25dB for BPSK modulation is more than 80%, and for QPSK modulation is more than 90%. Manuscript profile -
Open Access Article
6 - A Review on Examination Methods of Types of Working Memory and Cerebral Cortex in EEG Signals
Mehran Emadi Mohsen Karimi Fatemeh DavoudiBrain is the most important organ in human body. All of our memories are saved on brain. Brain activity is analyzed by electroencephalogram signals (EEG). Brain activity and memory signal represent brain activity that can be recorded in different brain regions. Electroe MoreBrain is the most important organ in human body. All of our memories are saved on brain. Brain activity is analyzed by electroencephalogram signals (EEG). Brain activity and memory signal represent brain activity that can be recorded in different brain regions. Electroencephalography signal analysis can provide complete and comprehensive information about brain activity. Working of brain memory as an activity is analyzed by EEG. The main purpose of this research is to review the types of memory and especially working memory in humans by processing of EEG. In this regard, memory and types of memory have been discussed at the beginning. Then the brain activity and memory signal, recording method, electrode placement, brain potentials are discussed. Then, the complexity of the brain activity and memory signal in memory has been investigated. Then, memory and its relationship with brain activity and memory signal have been discussed. Areas affected by memory are expressed in the brain. After the researches about brain activity and memory signals in memory, it has been investigated. Manuscript profile
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