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Papers by Rahil Sarikhani
Journal of Health in the Field, Dec 25, 2016
Background and Aims: Scientific research has shown that parents’ education level positively affec... more Background and Aims: Scientific research has shown that parents’ education level positively affects health conditions of the child. This study was performed to determine the relationship between mothers' education status and pentavalent vaccine complications. Materials and Methods: A descriptive cross sectional survey consisting of 676 children vaccinated with pentavalent was performed in health care centers covered by Shahid Beheshti University of Medical Sciences from June to December, 2015. There were examples of both sexes and 2-6 month age groups. A questionnaire was delivered to parents after completing their child profile and all the side effects observed in children were marked and returned to the vaccination center within a week. Data were analyzed with the use of descriptive statistics in SPSS software. Ethical issues were all considered. Results: About 2.4% out of total study group (mothers) were illiterate and 36.4 % were higher educated. Fever, pain, restlessness and induration included the most common side effects. Among the side effects studied, only fever, pain and restlessness were associated with maternal education level. These side effects were significantly lower in children having higher educated mothers. Conclusion: Considering the fact that the symptoms of fever, pain and restlessness were rarely found in children whose mothers had higher levels of education in this research, it can be concluded that these mothers reported the side effects of vaccine more accurately and reliably. Keywords: Complications of vaccine, Pentavalent, Mother's education level
ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enablin... more ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enabling unlicensed users (Secondary Users) to exploit the spectrum in an opportunistic manner. Since secondary users are temporary visitors to the licensed spectrum (Primary Users), they should vacate the spectrum once a primary user reclaims it. This process has a large overhead for secondary users. This overhead includes spectrum sensing and channel decision as well as communication delay between secondary users. To decrease this overhead it is necessary to reduce the number of handoff as much as possible. Increasing handoff may lead to low throughput of secondary users. In this paper, a dynamic handoff procedure for cognitive radio network is proposed based on decreasing handoff rate as well as increasing overall secondary users' throughput. With the aim Hidden Markov Model (HMM), each secondary user predicts the next primary user's arrival based on past observation and a model which is learned by past data. Based on this model, SUs can switch their operating channel to another before occurring collisions with primary user. Also, a SU may decide to stay at the current channel to decrease the overall latency. Simulation result shows that the proposed approach can meet QOS requirements.
Journal of Advances in Computer Engineering and Technology, Dec 1, 2016
In recent years, utilization of feature selection techniques has become an essential requirement ... more In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data, and also the complexity of the models used for effort estimation are all reasons to use the methods mentioned. Therefore, in this article, a genetic algorithm has been used for feature selection in the field of software project effort estimation. This technique has been tested on well-known datasets. Implementation results indicate that the resulting subset, compared to the original dataset, has produced better outcomes in terms of effort estimation accuracy. This article showed that genetic algorithms are ideal methods for selecting a subset of features and improving effort estimation accuracy .
In recent years, utilization of feature selection techniques has become an essential requirement ... more In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data, and also the complexity of the models used for effort estimation are all reasons to use the methods mentioned. Therefore, in this article, a genetic algorithm has been used for feature selection in the field of software project effort estimation. This technique has been tested on well-known datasets. Implementation results indicate that the resulting subset, compared to the original dataset, has produced better outcomes in terms of effort estimation accuracy. This article showed that genetic algorithms are ideal methods for selecting a subset of features and improving effort estimation accuracy...
Journal of Health in the Field, 2016
Background and Aims: Scientific research has shown that parents’ education level positively affec... more Background and Aims: Scientific research has shown that parents’ education level positively affects health conditions of the child. This study was performed to determine the relationship between mothers' education status and pentavalent vaccine complications. Materials and Methods: A descriptive cross sectional survey consisting of 676 children vaccinated with pentavalent was performed in health care centers covered by Shahid Beheshti University of Medical Sciences from June to December, 2015. There were examples of both sexes and 2-6 month age groups. A questionnaire was delivered to parents after completing their child profile and all the side effects observed in children were marked and returned to the vaccination center within a week. Data were analyzed with the use of descriptive statistics in SPSS software. Ethical issues were all considered. Results: About 2.4% out of total study group (mothers) were illiterate and 36.4 % were higher educated. Fever, pain, restlessness an...
IEEE Communications Letters, 2020
In this paper, we focus our attention on the performance of read heads under the off-track readin... more In this paper, we focus our attention on the performance of read heads under the off-track reading condition when the reader is under the influence of the recorded magnetization patterns on the medium, and analyze how the magnetic field due to various data patterns impacts the read head behavior. The analysis is based on the micromagnetic modeling of the state of magnetization in read sensor considering its external magnetic fields due to both the hard bias and the media magnetization pattern. The effects of various magnetization patterns on media are analyzed. The effect of thermal magnetic agitation of the gyromagnetical precession of magnetizations is also evaluated. It is shown that to account for such effect is important for evaluation of magnetic recording schemes for extremely high density.
Cognitive Radio (CR) network was introduced as a promising approach in utilizing spectrum holes. ... more Cognitive Radio (CR) network was introduced as a promising approach in utilizing spectrum holes. Spectrum sensing is the first stage of this utilization which could be improved using cooperation, namely Cooperative Spectrum Sensing (CSS), where some Secondary Users (SUs) collaborate to detect the existence of the Primary User (PU). In this paper, to improve the accuracy of detection Deep Learning (DL) is used. In order to make it more practical, Recurrent Neural Network (RNN) is used since there are some memory in the channel and the state of the PUs in the network. Hence, the proposed RNN is compared with the Convolutional Neural Network (CNN), and it represents useful advantages to the contrast one, which is demonstrated by simulation.
2013 15th IEEE International Conference on Communication Technology, 2013
ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enablin... more ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enabling unlicensed users (Secondary Users) to exploit the spectrum in an opportunistic manner. Since secondary users are temporary visitors to the licensed spectrum (Primary Users), they should vacate the spectrum once a primary user reclaims it. This process has a large overhead for secondary users. This overhead includes spectrum sensing and channel decision as well as communication delay between secondary users. To decrease this overhead it is necessary to reduce the number of handoff as much as possible. Increasing handoff may lead to low throughput of secondary users. In this paper, a dynamic handoff procedure for cognitive radio network is proposed based on decreasing handoff rate as well as increasing overall secondary users' throughput. With the aim Hidden Markov Model (HMM), each secondary user predicts the next primary user's arrival based on past observation and a model which is learned by past data. Based on this model, SUs can switch their operating channel to another before occurring collisions with primary user. Also, a SU may decide to stay at the current channel to decrease the overall latency. Simulation result shows that the proposed approach can meet QOS requirements.
Circuits, Systems, and Signal Processing, 2013
The Full Adder is one of the most important and basic units of mathematic circuits that is the ba... more The Full Adder is one of the most important and basic units of mathematic circuits that is the basic structure of many complex systems. Moreover, serial and serial-parallel mathematic processes can be carried out faster and more operative error-detection and error-correction codes can be employed in ternary logic implementations. In this work, we presented a new high-performance Ternary Full Adder (TFA) based on Carbon Nanotube Field-Effect Transistor (CNTFET) technology. The proposed design is well-matched with the Carbon Nanotube Field-effect Transistor knowledge and ternary logic value. The presented structure reduces the delay of the Ternary Full Adder and has high driving capability. The proposed Ternary Full Adder is simulated at varying supply voltages and temperatures using different frequencies by the Synopsys HSPICE circuit simulator. Simulation results determine improvement in terms of delay and Power-Delay Product (PDP) in comparison with the stateof-the-art designs. Simulations show that the proposed Ternary Full Adder cell shows approximately more than 53 % improvement in PDP compared to its counterparts.
Circuits, Systems, and Signal Processing, 2013
The Full Adder is one of the most important and basic units of mathematic circuits that is the ba... more The Full Adder is one of the most important and basic units of mathematic circuits that is the basic structure of many complex systems. Moreover, serial and serial-parallel mathematic processes can be carried out faster and more operative error-detection and error-correction codes can be employed in ternary logic implementations. In this work, we presented a new high-performance Ternary Full Adder (TFA) based on Carbon Nanotube Field-Effect Transistor (CNTFET) technology. The proposed design is well-matched with the Carbon Nanotube Field-effect Transistor knowledge and ternary logic value. The presented structure reduces the delay of the Ternary Full Adder and has high driving capability. The proposed Ternary Full Adder is simulated at varying supply voltages and temperatures using different frequencies by the Synopsys HSPICE circuit simulator. Simulation results determine improvement in terms of delay and Power-Delay Product (PDP) in comparison with the stateof-the-art designs. Simulations show that the proposed Ternary Full Adder cell shows approximately more than 53 % improvement in PDP compared to its counterparts.
Journal of Health in the Field, Dec 25, 2016
Background and Aims: Scientific research has shown that parents’ education level positively affec... more Background and Aims: Scientific research has shown that parents’ education level positively affects health conditions of the child. This study was performed to determine the relationship between mothers' education status and pentavalent vaccine complications. Materials and Methods: A descriptive cross sectional survey consisting of 676 children vaccinated with pentavalent was performed in health care centers covered by Shahid Beheshti University of Medical Sciences from June to December, 2015. There were examples of both sexes and 2-6 month age groups. A questionnaire was delivered to parents after completing their child profile and all the side effects observed in children were marked and returned to the vaccination center within a week. Data were analyzed with the use of descriptive statistics in SPSS software. Ethical issues were all considered. Results: About 2.4% out of total study group (mothers) were illiterate and 36.4 % were higher educated. Fever, pain, restlessness and induration included the most common side effects. Among the side effects studied, only fever, pain and restlessness were associated with maternal education level. These side effects were significantly lower in children having higher educated mothers. Conclusion: Considering the fact that the symptoms of fever, pain and restlessness were rarely found in children whose mothers had higher levels of education in this research, it can be concluded that these mothers reported the side effects of vaccine more accurately and reliably. Keywords: Complications of vaccine, Pentavalent, Mother's education level
ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enablin... more ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enabling unlicensed users (Secondary Users) to exploit the spectrum in an opportunistic manner. Since secondary users are temporary visitors to the licensed spectrum (Primary Users), they should vacate the spectrum once a primary user reclaims it. This process has a large overhead for secondary users. This overhead includes spectrum sensing and channel decision as well as communication delay between secondary users. To decrease this overhead it is necessary to reduce the number of handoff as much as possible. Increasing handoff may lead to low throughput of secondary users. In this paper, a dynamic handoff procedure for cognitive radio network is proposed based on decreasing handoff rate as well as increasing overall secondary users' throughput. With the aim Hidden Markov Model (HMM), each secondary user predicts the next primary user's arrival based on past observation and a model which is learned by past data. Based on this model, SUs can switch their operating channel to another before occurring collisions with primary user. Also, a SU may decide to stay at the current channel to decrease the overall latency. Simulation result shows that the proposed approach can meet QOS requirements.
Journal of Advances in Computer Engineering and Technology, Dec 1, 2016
In recent years, utilization of feature selection techniques has become an essential requirement ... more In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data, and also the complexity of the models used for effort estimation are all reasons to use the methods mentioned. Therefore, in this article, a genetic algorithm has been used for feature selection in the field of software project effort estimation. This technique has been tested on well-known datasets. Implementation results indicate that the resulting subset, compared to the original dataset, has produced better outcomes in terms of effort estimation accuracy. This article showed that genetic algorithms are ideal methods for selecting a subset of features and improving effort estimation accuracy .
In recent years, utilization of feature selection techniques has become an essential requirement ... more In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data, and also the complexity of the models used for effort estimation are all reasons to use the methods mentioned. Therefore, in this article, a genetic algorithm has been used for feature selection in the field of software project effort estimation. This technique has been tested on well-known datasets. Implementation results indicate that the resulting subset, compared to the original dataset, has produced better outcomes in terms of effort estimation accuracy. This article showed that genetic algorithms are ideal methods for selecting a subset of features and improving effort estimation accuracy...
Journal of Health in the Field, 2016
Background and Aims: Scientific research has shown that parents’ education level positively affec... more Background and Aims: Scientific research has shown that parents’ education level positively affects health conditions of the child. This study was performed to determine the relationship between mothers' education status and pentavalent vaccine complications. Materials and Methods: A descriptive cross sectional survey consisting of 676 children vaccinated with pentavalent was performed in health care centers covered by Shahid Beheshti University of Medical Sciences from June to December, 2015. There were examples of both sexes and 2-6 month age groups. A questionnaire was delivered to parents after completing their child profile and all the side effects observed in children were marked and returned to the vaccination center within a week. Data were analyzed with the use of descriptive statistics in SPSS software. Ethical issues were all considered. Results: About 2.4% out of total study group (mothers) were illiterate and 36.4 % were higher educated. Fever, pain, restlessness an...
IEEE Communications Letters, 2020
In this paper, we focus our attention on the performance of read heads under the off-track readin... more In this paper, we focus our attention on the performance of read heads under the off-track reading condition when the reader is under the influence of the recorded magnetization patterns on the medium, and analyze how the magnetic field due to various data patterns impacts the read head behavior. The analysis is based on the micromagnetic modeling of the state of magnetization in read sensor considering its external magnetic fields due to both the hard bias and the media magnetization pattern. The effects of various magnetization patterns on media are analyzed. The effect of thermal magnetic agitation of the gyromagnetical precession of magnetizations is also evaluated. It is shown that to account for such effect is important for evaluation of magnetic recording schemes for extremely high density.
Cognitive Radio (CR) network was introduced as a promising approach in utilizing spectrum holes. ... more Cognitive Radio (CR) network was introduced as a promising approach in utilizing spectrum holes. Spectrum sensing is the first stage of this utilization which could be improved using cooperation, namely Cooperative Spectrum Sensing (CSS), where some Secondary Users (SUs) collaborate to detect the existence of the Primary User (PU). In this paper, to improve the accuracy of detection Deep Learning (DL) is used. In order to make it more practical, Recurrent Neural Network (RNN) is used since there are some memory in the channel and the state of the PUs in the network. Hence, the proposed RNN is compared with the Convolutional Neural Network (CNN), and it represents useful advantages to the contrast one, which is demonstrated by simulation.
2013 15th IEEE International Conference on Communication Technology, 2013
ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enablin... more ABSTRACT Cognitive Radio Network is a key solution to improve the spectrum utilization by enabling unlicensed users (Secondary Users) to exploit the spectrum in an opportunistic manner. Since secondary users are temporary visitors to the licensed spectrum (Primary Users), they should vacate the spectrum once a primary user reclaims it. This process has a large overhead for secondary users. This overhead includes spectrum sensing and channel decision as well as communication delay between secondary users. To decrease this overhead it is necessary to reduce the number of handoff as much as possible. Increasing handoff may lead to low throughput of secondary users. In this paper, a dynamic handoff procedure for cognitive radio network is proposed based on decreasing handoff rate as well as increasing overall secondary users' throughput. With the aim Hidden Markov Model (HMM), each secondary user predicts the next primary user's arrival based on past observation and a model which is learned by past data. Based on this model, SUs can switch their operating channel to another before occurring collisions with primary user. Also, a SU may decide to stay at the current channel to decrease the overall latency. Simulation result shows that the proposed approach can meet QOS requirements.
Circuits, Systems, and Signal Processing, 2013
The Full Adder is one of the most important and basic units of mathematic circuits that is the ba... more The Full Adder is one of the most important and basic units of mathematic circuits that is the basic structure of many complex systems. Moreover, serial and serial-parallel mathematic processes can be carried out faster and more operative error-detection and error-correction codes can be employed in ternary logic implementations. In this work, we presented a new high-performance Ternary Full Adder (TFA) based on Carbon Nanotube Field-Effect Transistor (CNTFET) technology. The proposed design is well-matched with the Carbon Nanotube Field-effect Transistor knowledge and ternary logic value. The presented structure reduces the delay of the Ternary Full Adder and has high driving capability. The proposed Ternary Full Adder is simulated at varying supply voltages and temperatures using different frequencies by the Synopsys HSPICE circuit simulator. Simulation results determine improvement in terms of delay and Power-Delay Product (PDP) in comparison with the stateof-the-art designs. Simulations show that the proposed Ternary Full Adder cell shows approximately more than 53 % improvement in PDP compared to its counterparts.
Circuits, Systems, and Signal Processing, 2013
The Full Adder is one of the most important and basic units of mathematic circuits that is the ba... more The Full Adder is one of the most important and basic units of mathematic circuits that is the basic structure of many complex systems. Moreover, serial and serial-parallel mathematic processes can be carried out faster and more operative error-detection and error-correction codes can be employed in ternary logic implementations. In this work, we presented a new high-performance Ternary Full Adder (TFA) based on Carbon Nanotube Field-Effect Transistor (CNTFET) technology. The proposed design is well-matched with the Carbon Nanotube Field-effect Transistor knowledge and ternary logic value. The presented structure reduces the delay of the Ternary Full Adder and has high driving capability. The proposed Ternary Full Adder is simulated at varying supply voltages and temperatures using different frequencies by the Synopsys HSPICE circuit simulator. Simulation results determine improvement in terms of delay and Power-Delay Product (PDP) in comparison with the stateof-the-art designs. Simulations show that the proposed Ternary Full Adder cell shows approximately more than 53 % improvement in PDP compared to its counterparts.