Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786459
Mohammad Mahdi Mehrnegar, M. Moravvej-Farshi, S. Darbari
We propose a multi-mode plasmonic surface acoustic wave (SAW) based sensor. Utilizing SAW, we have designed a dual-segment grating that can excite multi-mode surface plasmons. These modes behave differently by variation of target or environment refractive indices. This behavior can lead to a more accurate precision in sensing the target material by eliminating the interfering effect of fluid. Moreover, the proposed sensor is capable of determining the thickness of a known target.
{"title":"Designing SAW Assisted Multi-Mode Plasmonic Sensor","authors":"Mohammad Mahdi Mehrnegar, M. Moravvej-Farshi, S. Darbari","doi":"10.1109/IranianCEE.2019.8786459","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786459","url":null,"abstract":"We propose a multi-mode plasmonic surface acoustic wave (SAW) based sensor. Utilizing SAW, we have designed a dual-segment grating that can excite multi-mode surface plasmons. These modes behave differently by variation of target or environment refractive indices. This behavior can lead to a more accurate precision in sensing the target material by eliminating the interfering effect of fluid. Moreover, the proposed sensor is capable of determining the thickness of a known target.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"19 1","pages":"233-235"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86196458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786490
Khatereh Darvish Ghanbar, T. Y. Rezaii, M. Tinati, A. Farzamnia
Common Spatial Patterns (CSP) is a powerful and common method for effective feature extraction and dimensionality reduction in Brain-Computer Interface (BCI) applications. However CSP has some shortcomings, particularly, it is sensitivity to noise and outlier data which results in lower classification accuracy. In this paper, we propose a regularized version of the original CSP (Corr-CSP), in which the objective function is penalized by a properly designed penalty term which encourages decorrelation between the data from two classes in such a way that the resulting objective function has still straightforward solution through Eigen value decomposition. Furthermore, we have used three different datasets from the BCI Competition BCI database in order to evaluate the performance of the proposed approach and compare it to the original CSP. The simulation results show on the average 4% of improvement in terms of classification accuracy for the proposed Corr-CSP approach.
{"title":"Correlation-Based Regularized Common Spatial Patterns for Classification of Motor Imagery EEG Signals","authors":"Khatereh Darvish Ghanbar, T. Y. Rezaii, M. Tinati, A. Farzamnia","doi":"10.1109/IranianCEE.2019.8786490","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786490","url":null,"abstract":"Common Spatial Patterns (CSP) is a powerful and common method for effective feature extraction and dimensionality reduction in Brain-Computer Interface (BCI) applications. However CSP has some shortcomings, particularly, it is sensitivity to noise and outlier data which results in lower classification accuracy. In this paper, we propose a regularized version of the original CSP (Corr-CSP), in which the objective function is penalized by a properly designed penalty term which encourages decorrelation between the data from two classes in such a way that the resulting objective function has still straightforward solution through Eigen value decomposition. Furthermore, we have used three different datasets from the BCI Competition BCI database in order to evaluate the performance of the proposed approach and compare it to the original CSP. The simulation results show on the average 4% of improvement in terms of classification accuracy for the proposed Corr-CSP approach.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"92 1","pages":"1770-1774"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86232267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786676
H. Lasjerdi, Z. Nasiri-Gheidari, F. Tootoonchian
Wound-Rotor (WR) resolvers are the most widely used position sensors in applications with harsh environmental conditions. However, their performance is exposed to failure due to high risk of short circuit (SC) fault. Although the output current of the resolver is negligible, its thin copper wires increases the probability of the short circuit fault. To avoid the propagation of the turn-to turn SC fault to the whole coil and undesirable performance of the motion control drive, it is necessary to diagnose it at the very beginning of its development. Meanwhile, the first step of diagnosing faults is their modeling. Time stepping finite element analysis is the most accurate, but computationally expensive method for modelling the electromagnetic devices. Therefore, it is required to establish an accurate, yet computationally fast model. In this regards, an analytical model based on d-q axes theory is proposed. Then, the success of the proposed model is validated by experimental tests on the studied sensor.
{"title":"Proposal of an Analytical Model for Performance Evaluation of WR -Resolvers under Short Circuit Fault","authors":"H. Lasjerdi, Z. Nasiri-Gheidari, F. Tootoonchian","doi":"10.1109/IranianCEE.2019.8786676","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786676","url":null,"abstract":"Wound-Rotor (WR) resolvers are the most widely used position sensors in applications with harsh environmental conditions. However, their performance is exposed to failure due to high risk of short circuit (SC) fault. Although the output current of the resolver is negligible, its thin copper wires increases the probability of the short circuit fault. To avoid the propagation of the turn-to turn SC fault to the whole coil and undesirable performance of the motion control drive, it is necessary to diagnose it at the very beginning of its development. Meanwhile, the first step of diagnosing faults is their modeling. Time stepping finite element analysis is the most accurate, but computationally expensive method for modelling the electromagnetic devices. Therefore, it is required to establish an accurate, yet computationally fast model. In this regards, an analytical model based on d-q axes theory is proposed. Then, the success of the proposed model is validated by experimental tests on the studied sensor.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"76 1","pages":"486-490"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91391797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786428
Armin Alizadeh, F. Hossein-Babaei
Devices with metal-metal oxide-metal structure have been shown to present nonlinear transport properties. Here, the A1/ZnO/Ti structure is investigated for its memristive switching behavior. The I-V measurements carried out at different voltage sweeping frequencies showed drastic changes with frequency, particularly at very low frequencies (below 1 Hz). The observations point to the importance of ionic motion in the observed switching effect. The significance of oxygen vacancies in this regards is clarified. Results suggest that the oxygen deficiency is responsible for the switching mechanism. The presented model describe the observed phenomena.
{"title":"Bipolar Resistive Switching of an Al/ZnO/Ti-based Memristor","authors":"Armin Alizadeh, F. Hossein-Babaei","doi":"10.1109/IranianCEE.2019.8786428","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786428","url":null,"abstract":"Devices with metal-metal oxide-metal structure have been shown to present nonlinear transport properties. Here, the A1/ZnO/Ti structure is investigated for its memristive switching behavior. The I-V measurements carried out at different voltage sweeping frequencies showed drastic changes with frequency, particularly at very low frequencies (below 1 Hz). The observations point to the importance of ionic motion in the observed switching effect. The significance of oxygen vacancies in this regards is clarified. Results suggest that the oxygen deficiency is responsible for the switching mechanism. The presented model describe the observed phenomena.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"116 1","pages":"367-370"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87650176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786756
M. Banaei, M. Oloomi‐buygi
In this paper, a Nash Equilibrium model for negotiation process of forward contracts among some producers and consumers in an uncongested power system is proposed. Each market player tries to maximize his/her profit in aggregate of day-ahead electricity market and forward contracts. Uncertainty of day-ahead electricity market prices and demand of consumers in contract negotiation period are considered by some discrete scenarios which their probabilities are different based on each market players' viewpoint about the uncertain parameters in delivery period. Proposed model is applied to a test system and impacts of different parameters on the simulation results are discussed.
{"title":"Forward Contract Negotiation Equilibrium in Uncongested Electricity Markets","authors":"M. Banaei, M. Oloomi‐buygi","doi":"10.1109/IranianCEE.2019.8786756","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786756","url":null,"abstract":"In this paper, a Nash Equilibrium model for negotiation process of forward contracts among some producers and consumers in an uncongested power system is proposed. Each market player tries to maximize his/her profit in aggregate of day-ahead electricity market and forward contracts. Uncertainty of day-ahead electricity market prices and demand of consumers in contract negotiation period are considered by some discrete scenarios which their probabilities are different based on each market players' viewpoint about the uncertain parameters in delivery period. Proposed model is applied to a test system and impacts of different parameters on the simulation results are discussed.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"17 1","pages":"497-502"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90944598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786591
M. Nikandish, M. Ehsanian
This paper presents a Phase Locked Loop (PLL) circuit designed for IEEE 802.11ac applications with the frequency range of 5GHz to 6.2GHz. In order to have a wide frequency range and to keep the basic parameters of the PLL constant, a control unit is required. The proposed control circuit has two calibration sections; the first part is the frequency calibration, which determines the value of the digital code in the capacitor bank of the Voltage Controlled Oscillator (VCO), and the second part is the Charge Pump (CP), which measures the amount of the VCO gain (KVCO) and consequently changes the CP current flow to provide a fixed Bandwidth (BW). The main circuit of a PLL with an integer divider are implemented in a standard 0.18µm CMOS technology. This PLL, considering the time needed for calibration, is locked up within a period of 12.5µs. Phase noise ratio has been improved to the value of 1.3dBc/Hz by using the calibration circuit. The power consumption of the systems is 13.89mW at the supply voltage of 1.8V.
{"title":"A 5-6.2GHz Variable Bandwidth Frequency Synthesizer for IEEE 802.11ac Applications","authors":"M. Nikandish, M. Ehsanian","doi":"10.1109/IranianCEE.2019.8786591","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786591","url":null,"abstract":"This paper presents a Phase Locked Loop (PLL) circuit designed for IEEE 802.11ac applications with the frequency range of 5GHz to 6.2GHz. In order to have a wide frequency range and to keep the basic parameters of the PLL constant, a control unit is required. The proposed control circuit has two calibration sections; the first part is the frequency calibration, which determines the value of the digital code in the capacitor bank of the Voltage Controlled Oscillator (VCO), and the second part is the Charge Pump (CP), which measures the amount of the VCO gain (KVCO) and consequently changes the CP current flow to provide a fixed Bandwidth (BW). The main circuit of a PLL with an integer divider are implemented in a standard 0.18µm CMOS technology. This PLL, considering the time needed for calibration, is locked up within a period of 12.5µs. Phase noise ratio has been improved to the value of 1.3dBc/Hz by using the calibration circuit. The power consumption of the systems is 13.89mW at the supply voltage of 1.8V.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"41 1","pages":"149-153"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91103166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786636
Milad Parvan, A. Ghiasi, T. Y. Rezaii, A. Farzamnia
Nowadays, classification of signals is considered as the crucial role of motor imagery brain computer interface. Moreover, deep learning approaches show acceptable performance in image recognition applications as well as speech recognition. However, practicality of the aforementioned technique is not generally deployed on motor imagery tasks. Hence, the goal of this paper is to apply convolutional neural networks to classify the motor imagery EEG signals. In addition, data augmentation along with excusive transfer learning strategy are used to overcome the problem of few trials in motor imagery tasks. On the other hand, analytical regression assessments are also applied to the raw data for mitigating the stress of EOG on EEG. Consequently, the simulation results clearly convey the contribution of the proposed algorithm via testing on BCI competition IV dataset 2b. Applying EOG artifact removal and data augmentation methods resulted in 0.07 improvement in kappa coefficient. Furthermore, using our proposed transfer learning method led to 0.06 improvement in terms of kappa coefficient.
{"title":"Transfer Learning based Motor Imagery Classification using Convolutional Neural Networks","authors":"Milad Parvan, A. Ghiasi, T. Y. Rezaii, A. Farzamnia","doi":"10.1109/IranianCEE.2019.8786636","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786636","url":null,"abstract":"Nowadays, classification of signals is considered as the crucial role of motor imagery brain computer interface. Moreover, deep learning approaches show acceptable performance in image recognition applications as well as speech recognition. However, practicality of the aforementioned technique is not generally deployed on motor imagery tasks. Hence, the goal of this paper is to apply convolutional neural networks to classify the motor imagery EEG signals. In addition, data augmentation along with excusive transfer learning strategy are used to overcome the problem of few trials in motor imagery tasks. On the other hand, analytical regression assessments are also applied to the raw data for mitigating the stress of EOG on EEG. Consequently, the simulation results clearly convey the contribution of the proposed algorithm via testing on BCI competition IV dataset 2b. Applying EOG artifact removal and data augmentation methods resulted in 0.07 improvement in kappa coefficient. Furthermore, using our proposed transfer learning method led to 0.06 improvement in terms of kappa coefficient.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"83 1","pages":"1825-1828"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78147387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786532
Z. Arefinia, M. Vafadar
The effect of employing N-layer graphene in the Bernal stacking on the absorption of active layer of the inverted-p-i-n-type planar heterojunction perovskite solar cells (PSCs) is investigated by transfer matrix model. By calculating the complex refractive index of N-layer graphene, the effect of variation of the layer number of graphene on the absorption of organometal halide perovskite (CH3NH3PbI2Cl) active layer is explored by taking interference and parasitic absorption into account. The results show the absorption of CH3NH3PbI2Cl in the PSCs with monolayer graphene anode is enhanced over a broad wavelength ranging from 300 to 750 nm.
{"title":"Modeling of Graphene Effect as a Transparent Anode on the Absorption of Perovskite Solar Cells","authors":"Z. Arefinia, M. Vafadar","doi":"10.1109/IranianCEE.2019.8786532","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786532","url":null,"abstract":"The effect of employing N-layer graphene in the Bernal stacking on the absorption of active layer of the inverted-p-i-n-type planar heterojunction perovskite solar cells (PSCs) is investigated by transfer matrix model. By calculating the complex refractive index of N-layer graphene, the effect of variation of the layer number of graphene on the absorption of organometal halide perovskite (CH3NH3PbI2Cl) active layer is explored by taking interference and parasitic absorption into account. The results show the absorption of CH3NH3PbI2Cl in the PSCs with monolayer graphene anode is enhanced over a broad wavelength ranging from 300 to 750 nm.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"29 1","pages":"31-35"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76321125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786588
Mozhgan Mohammadi Nezhad, M. Eshghi
Wireless Body Area Network is used in healthcare applications for collecting information from remotely monitored patients. As they work in medical Applications, these kinds of networks must be robust and flexible to the sensors failure. This means that it must differentiate between patient's emergency alarms, and ill-behaved sensor's false alarms. In this paper, we propose an approach for faulty measurements detection in order to make alarming of emergency situations more precisely. The proposed approach is based on decision tree, threshold biasing and linear regression. Our objective is to detect single and multiple faults in order to reduce unnecessary healthcare intervention. The proposed approach has been applied to real healthcare dataset. Experimental results demonstrate the effectiveness of the proposed approach in achieving high Detection Rate and low False Positive Rate. The ability of this algorithm to detect single and multiple anomalies make it more reliable for medical emergency use.
{"title":"Sensor Single and Multiple Anomaly Detection in Wireless Sensor Networks for Healthcare","authors":"Mozhgan Mohammadi Nezhad, M. Eshghi","doi":"10.1109/IranianCEE.2019.8786588","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786588","url":null,"abstract":"Wireless Body Area Network is used in healthcare applications for collecting information from remotely monitored patients. As they work in medical Applications, these kinds of networks must be robust and flexible to the sensors failure. This means that it must differentiate between patient's emergency alarms, and ill-behaved sensor's false alarms. In this paper, we propose an approach for faulty measurements detection in order to make alarming of emergency situations more precisely. The proposed approach is based on decision tree, threshold biasing and linear regression. Our objective is to detect single and multiple faults in order to reduce unnecessary healthcare intervention. The proposed approach has been applied to real healthcare dataset. Experimental results demonstrate the effectiveness of the proposed approach in achieving high Detection Rate and low False Positive Rate. The ability of this algorithm to detect single and multiple anomalies make it more reliable for medical emergency use.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"33 1","pages":"1751-1755"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76626176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/IranianCEE.2019.8786434
Leila Hassani, M. Moosavi, P. Setoodeh
Recently, there has been great interest in the field of metabolic engineering. Engineered microorganisms such as bacteria can be exploited to synthesize value-added bioproducts. Conversely, optimal genetic manipulations to reach to operative engineered cells is very costly; hence, regarding whole-cell functionalities, a number of proficient simulation algorithms have been developed and widely applied for systems-level analyses, and as a consequence, systems metabolic engineering. However, most of the currently-used in silico algorithms are usually time-consuming. In other words, it is requisite that computer scientists gain prior knowledge of molecular biology and biochemistry to be able to develop more effective algorithms in this field. Here, in the current study, we regard the metabolic network of interest as a general graph to present algorithmic perspective of the complex metabolic systems. A cell's metabolism is modeled in the form of a metabolic network. This way, the major problems in the field of metabolic engineering can be tackled using graph theory and graph mining algorithms. For this purpose, we reconstruct the metabolic network as a general graph, redefine the metabolic engineering problems accordingly, and finally, solve one of them as a sample.
{"title":"A Graph Based Approach to Analyse Metabolic Networks for Strain Engineering","authors":"Leila Hassani, M. Moosavi, P. Setoodeh","doi":"10.1109/IranianCEE.2019.8786434","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786434","url":null,"abstract":"Recently, there has been great interest in the field of metabolic engineering. Engineered microorganisms such as bacteria can be exploited to synthesize value-added bioproducts. Conversely, optimal genetic manipulations to reach to operative engineered cells is very costly; hence, regarding whole-cell functionalities, a number of proficient simulation algorithms have been developed and widely applied for systems-level analyses, and as a consequence, systems metabolic engineering. However, most of the currently-used in silico algorithms are usually time-consuming. In other words, it is requisite that computer scientists gain prior knowledge of molecular biology and biochemistry to be able to develop more effective algorithms in this field. Here, in the current study, we regard the metabolic network of interest as a general graph to present algorithmic perspective of the complex metabolic systems. A cell's metabolism is modeled in the form of a metabolic network. This way, the major problems in the field of metabolic engineering can be tackled using graph theory and graph mining algorithms. For this purpose, we reconstruct the metabolic network as a general graph, redefine the metabolic engineering problems accordingly, and finally, solve one of them as a sample.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"24 1","pages":"1839-1843"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76890380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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