Unstable resonators have been widely used in high-power gas lasers as well as solid-state lasers.... more Unstable resonators have been widely used in high-power gas lasers as well as solid-state lasers. The phase and the spatial distribution of intensity of these lasers are very important in some applications such as material processing. In this paper, unstable resonators with three different geometries have been characterized numerically and the results have been compared and evaluated. Based on the Fresnel-Kirchhoff integral, the two-dimensional phase and intensity have been calculated for three different positive branch unstable resonators. The results show that the resonators with rectangular geometry have the best performance for near-field as well as far-field intensity, which is more suitable for material processing. The calculations also show that the maximum output power can be extracted from the rectangular resonator with spherical surface, while the circular resonator with spherical surface has minimum output power. The results also show that the laser has a higher divergence for the cylindrical resonator in compare with those for the circular and rectangular resonators. r
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009
In this paper, the neural network (NN)-based satellite geometry approximation for good or accepta... more In this paper, the neural network (NN)-based satellite geometry approximation for good or acceptable navigation satellite subset selection is presented. The approach is based on approximating the satellite geometry dilution of precision (GDOP) factors utilizing the recurrent neural network (RNN) approach. Without matrix inversion required, the NN-based approach is capable of evaluating all subsets of satellites and hence reduces the
Russia is scheduled to begin receiving gas from the 700-mile sytem of Iranian Gas Trunkline late ... more Russia is scheduled to begin receiving gas from the 700-mile sytem of Iranian Gas Trunkline late next year (1970). IGAT'S pipeline will utilize 385 miles of 42-in. and 307 miles of 40-in. pipe as it stretches from the producing fields in the SW. Iran to the export point on the Caspian Sea. Ten English Electric 8,700-hp industrial turbines and 34
2006 8th international Conference on Signal Processing, 2006
In a target tracking system, an infrared counter-countermeasure (IRCCM) algorithm is required for... more In a target tracking system, an infrared counter-countermeasure (IRCCM) algorithm is required for target efficient tracking under infrared countermeasure (IRCM) such as IR flares. The function of active IR jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. The IRCM acts in such a way as to cause either a complete loss of target tracking or to degrade target tracking in such a manner that the guidance of the missile is affected adversely. Obviously, an early optical breaklock is preferable since it usually implies a large miss distance. This paper presents design and implementation of a new IRCCM method using Kalman filter. The proposed algorithm estimates tracking error or correction signal when jamming occurs. The method's validity is verified with experiments on IR seeker reticle based on a digital signal processing (DSP) processor. The implementation results show that the proposed algorithm can eliminate the IRCM effect 68%
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2013
In the present work, alumina (Al 2 O 3 )-filled cast aluminium alloy (A356) composites were fabri... more In the present work, alumina (Al 2 O 3 )-filled cast aluminium alloy (A356) composites were fabricated using stir casting technique by varying Al 2 O 3 contents (0, 5, 10, 15, 20 and 25 wt.%). The fabricated composites were studied for their physical, mechanical and fracture toughness behaviour experimentally, theoretically and compared with finite element analysis method to validate the experimental and theoretical results. The physical and mechanical results showed that the addition of alumina to A356 alloy led to the improvement in tensile strength, flexural strength, hardness and impact strength. The void content of A356 alloy composites increased from 1.01% to 3.30% from 0 to 25 wt.% Al 2 O 3 . Young's modulus value varied from 80 GPa to 111.27 GPa at 0 to 25 wt.% Al 2 O 3 filled A356 alloy composite. The maximum value of flexural strength as calculated experimentally is found to be 389 MPa at 25 wt.% Al 2 O 3 . A 3D simulation of the composite using the unit cell model was developed in ANSYS using appropriate boundary conditions for tensile and flexural strength. Stress intensity factor for the crack propagation is determined using 2D simulation of the single side edge cracked plate in compact tension. The mechanical properties determined in papers I and II are used for the optimization purpose. Technique for order preference by similarity to ideal solution was applied to rank the composites using criteria based on mechanical properties like tensile strength, Young's modulus, flexural strength and stress intensity factor. As per the results obtained from the optimization, the composite with 25 wt.% SiC exhibits the optimal properties.
ABSTRACT In this study, the metallurgical performance (grade and recovery) forecasting of pilot p... more ABSTRACT In this study, the metallurgical performance (grade and recovery) forecasting of pilot plant flotation column using Artificial Neural Networks (ANN) and Multivariate Non-Linear Regression (MNLR) models is investigated. Modeling is performed based on 90 datasets at different operating conditions. The values of chemical reagents dosage, froth height, air and wash water flow rates, gas holdup and Cu, Mo grades in the rougher feed and flotation column feed, column tail and final concentrate streams are used to the simulation by means of NN and MNLR. The model validation analysis demonstrates the capability of both models to predict Cu and Mo grades and recoveries for a wide range of operating conditions in pilot flotation columns. It must be noted that ANN approach offers superior predictive capability over statistical method. It was also found that the error in prediction of metallurgical performance using the NN model was less than the error of the regression model. The best network is proposed with multi-layer perceptron (MLP) model, sigmoid activation function and Levenberg–Marquardt learning rule with 8-12-8-2 and 8-9-12-2 architectures, in order to estimate metallurgical performance of Cu and Mo respectively in flotation column. The results of this study indicate that a back-propagation neural network model with Root Mean Square Errors (RMSE) of 0.68 and 0.02 for prediction of Cu and Mo grades and 0.48 and 1.16 for prediction of Cu and Mo recoveries respectively has a better performance than the statistical method.
ABSTRACT One of the major errors in high-precision GPS positioning is multipath. Multipath effect... more ABSTRACT One of the major errors in high-precision GPS positioning is multipath. Multipath effect modeling and reduction have been a challenging issue in high-accuracy GPS positioning applications due to its special properties. Different methods have been employed to mitigate this error including hardware and software approaches. We reduce C/A code multipath error by adopting an efficient software method which uses wavelet transform as a basic data processing trend. The key idea of the proposed method is using stationary wavelet transform (SWT) in GPS signal data processing. Since we have used SWT, there is complete access to high-frequency and low-frequency terms in both time and frequency domains, and we can apply appropriated procedures to mitigate this error. The multipath error mostly is a low-frequency term. In our proposed method, the double difference (DD) residuals are applied to the SWT to identify the multipath disturbance. The extracted multipath is then used to correct DD observations. Our experiments include three data sets to investigate the proposed method and compare it with existing algorithms. We used simulations for two of these data sets. The results indicate the efficiency of the proposed method over existing algorithms.
A four-noded quadratic isoparametric flat shell element with six degrees of freedom per node is d... more A four-noded quadratic isoparametric flat shell element with six degrees of freedom per node is developed in order to study buckling behavior of sandwich shells under nodal concentric loading conditions. The relationship between the shell's curvature and resultant buckling strength, as well as buckling mode shapes of the shell has been investigated.
In order to investigate stability of the cry1Ab gene and resistance in the T 1 generation of tran... more In order to investigate stability of the cry1Ab gene and resistance in the T 1 generation of transgenic cotton (Gossypium hirsutum var. Coker 100), transgenic seeds were analyzed by PCR, Southern and Western blotting and bioassayed. Seed samples from transgenic lines (T 0 ) along with seeds from non-transgenic lines s as control were used. PCR analysis showed the presence of cry1Ab gene in 63 out of the 150 T 1 plants. Integration of the cry1Ab gene into the genome of transgenic plants was confirmed by Southern blotting. Western immunoblot analysis of transgenic plants revealed the presence of a band with MW of 67 kDa using anti-Cry1Ab-polyclonal antiserum. Bioassay tests indicated that the Cry1Ab protein was active and that the larvae died in the first days. Significant differences were observed in the mortality rate, growth rate and extent of damage on the leaves between the transgenic and non-transgenic plants. The average mortality of the larvae in line 17 was 100%, in comparison with the control. These results indicated the relative advantage of line 17, which carries one copy of the cry1Ab gene in comparison with the other lines.
Osteoarticular tuberculosis (TB) accounts for 1-5% of all TB cases and 10-18% of those with extra... more Osteoarticular tuberculosis (TB) accounts for 1-5% of all TB cases and 10-18% of those with extrapulmonary infection. Diagnosis is difficult, because the lungs are rarely involved and there are no specific signs or symptoms. The purpose of this study was to assess the frequency and clinical and laboratory findings in osteoarticular TB in two referral hospitals in Tehran, Iran. The hospital dataset of patients admitted with osteoarticular TB during 2003-2005 was reviewed. Patients' demographic data, clinical presentation and radiological and pathological findings were analysed. Weight loss (50%), fever (36%) and night sweats (38.5%) were the most common constitutional symptoms. Knee, ankle, hip and shoulder joints were the most frequent sites for TB arthritis. In osteomyelitis, long and short bones were equally affected. In TB spondylitis, the lumbar (22.7%) and thoracic (50%) vertebrae were the most commonly involved sites. The most frequently reported complications were sphincter disorder (39.1%), paraplegia (28.9%) and kyphosis (19.3%). TB osteomyelitis must always be borne in mind in countries where TB has high prevalence.
ABSTRACT The diagnosis of intraductal breast lesions has always been considered one of the most c... more ABSTRACT The diagnosis of intraductal breast lesions has always been considered one of the most challenging issues in breast cancer treatment. These lesions are divided into three groups: usual ductal hyperplasia (UDH), atypical ductal hyperplasia, and ductal carcinoma in situ. Investigations indicate that 50 % of surgeries performed on intraductal lesions have been unnecessary. Since patients afflicted with UDH do not need any surgery, appropriate classification of these lesions is very important. In this paper, a new method based on the fuzzy cognitive map (FCM) has been introduced for the screening and separation of UDH from the rest of intraductal lesions. For this purpose, 86 patients in the Shahid Beheshti Hospital of Isfahan were studied. Ten of the most significant characteristics needed for the screening of these lesions were extracted by three pathologists and used as the main concepts of FCM. The degree of impact of these features on one another and the impact of each feature on the final concept were extracted as linguistic expressions and in the form of fuzzy rules. After defuzzification, the matrix of FCM weights was obtained. An overall accuracy of 95.35 % was obtained on the entire database. The obtained results indicated that the proposed FCM not only enjoys a high level of accuracy, but also is capable of offering an acceptable FNR while reducing the value of FPR to zero. Here, by combining FCM with support vector machine, we have been able to improve the concordance among pathologists on inter- and intra-observations.
Background: Numerous epidemiologic studies have shown that esophagus cancer is more common in are... more Background: Numerous epidemiologic studies have shown that esophagus cancer is more common in areas with grains containing mycotoxin such as fumonisin B1 (FB1). The aim of this research is to study the effect of long-and short-term of esophagus tissue to fB1 orally administered in animal model.
The swelling potential of rocks including clay minerals in arid and semi-arid regions, where the ... more The swelling potential of rocks including clay minerals in arid and semi-arid regions, where the rocks experience completely dry to fully saturated conditions, is a complex problem. A method is lacking for determining the swell–shrink behavior of such rocks under variable water contents and boundary conditions prevailing in underground excavations. This paper suggests a method, which finally leads to a model, for determining the swell–shrink behavior of mudrock at the Masjed–Soleiman underground hydroelectric power plant (UHEPP). The recorded nonlinear behavior of the mudrock is modeled using an artificial neural network (ANN). The ANN model utilizes the information from the previous swell–shrink cycles to learn and model the dynamics of swell–shrink behavior. Using this method facilitates prediction of swelling pressure of argillaceous rocks with different swelling potentials and site conditions.
... and a 14.7% reduction in pesticide cost as compared to non-Bt cot-ton ... biolistic transform... more ... and a 14.7% reduction in pesticide cost as compared to non-Bt cot-ton ... biolistic transformation (Rajasekaran et al., 2000), Agrobacterium-mediated transformation (Tohidfar et al., 2005; Zapata et al ... the Coker variety responds very well to regeneration and gene transfer, most of ...
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010
The flotation column is a multivariable process whose main control objective is to guarantee the ... more The flotation column is a multivariable process whose main control objective is to guarantee the metallurgical yield set for the process operation, expressed by the grade and the recovery of the valuable mineral in the concentrate. The on-line estimation of grade usually requires a significant amount of work in maintenance and calibration of on-stream analyzers, in order to maintain good
Unstable resonators have been widely used in high-power gas lasers as well as solid-state lasers.... more Unstable resonators have been widely used in high-power gas lasers as well as solid-state lasers. The phase and the spatial distribution of intensity of these lasers are very important in some applications such as material processing. In this paper, unstable resonators with three different geometries have been characterized numerically and the results have been compared and evaluated. Based on the Fresnel-Kirchhoff integral, the two-dimensional phase and intensity have been calculated for three different positive branch unstable resonators. The results show that the resonators with rectangular geometry have the best performance for near-field as well as far-field intensity, which is more suitable for material processing. The calculations also show that the maximum output power can be extracted from the rectangular resonator with spherical surface, while the circular resonator with spherical surface has minimum output power. The results also show that the laser has a higher divergence for the cylindrical resonator in compare with those for the circular and rectangular resonators. r
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009
In this paper, the neural network (NN)-based satellite geometry approximation for good or accepta... more In this paper, the neural network (NN)-based satellite geometry approximation for good or acceptable navigation satellite subset selection is presented. The approach is based on approximating the satellite geometry dilution of precision (GDOP) factors utilizing the recurrent neural network (RNN) approach. Without matrix inversion required, the NN-based approach is capable of evaluating all subsets of satellites and hence reduces the
Russia is scheduled to begin receiving gas from the 700-mile sytem of Iranian Gas Trunkline late ... more Russia is scheduled to begin receiving gas from the 700-mile sytem of Iranian Gas Trunkline late next year (1970). IGAT'S pipeline will utilize 385 miles of 42-in. and 307 miles of 40-in. pipe as it stretches from the producing fields in the SW. Iran to the export point on the Caspian Sea. Ten English Electric 8,700-hp industrial turbines and 34
2006 8th international Conference on Signal Processing, 2006
In a target tracking system, an infrared counter-countermeasure (IRCCM) algorithm is required for... more In a target tracking system, an infrared counter-countermeasure (IRCCM) algorithm is required for target efficient tracking under infrared countermeasure (IRCM) such as IR flares. The function of active IR jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. The IRCM acts in such a way as to cause either a complete loss of target tracking or to degrade target tracking in such a manner that the guidance of the missile is affected adversely. Obviously, an early optical breaklock is preferable since it usually implies a large miss distance. This paper presents design and implementation of a new IRCCM method using Kalman filter. The proposed algorithm estimates tracking error or correction signal when jamming occurs. The method's validity is verified with experiments on IR seeker reticle based on a digital signal processing (DSP) processor. The implementation results show that the proposed algorithm can eliminate the IRCM effect 68%
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2013
In the present work, alumina (Al 2 O 3 )-filled cast aluminium alloy (A356) composites were fabri... more In the present work, alumina (Al 2 O 3 )-filled cast aluminium alloy (A356) composites were fabricated using stir casting technique by varying Al 2 O 3 contents (0, 5, 10, 15, 20 and 25 wt.%). The fabricated composites were studied for their physical, mechanical and fracture toughness behaviour experimentally, theoretically and compared with finite element analysis method to validate the experimental and theoretical results. The physical and mechanical results showed that the addition of alumina to A356 alloy led to the improvement in tensile strength, flexural strength, hardness and impact strength. The void content of A356 alloy composites increased from 1.01% to 3.30% from 0 to 25 wt.% Al 2 O 3 . Young's modulus value varied from 80 GPa to 111.27 GPa at 0 to 25 wt.% Al 2 O 3 filled A356 alloy composite. The maximum value of flexural strength as calculated experimentally is found to be 389 MPa at 25 wt.% Al 2 O 3 . A 3D simulation of the composite using the unit cell model was developed in ANSYS using appropriate boundary conditions for tensile and flexural strength. Stress intensity factor for the crack propagation is determined using 2D simulation of the single side edge cracked plate in compact tension. The mechanical properties determined in papers I and II are used for the optimization purpose. Technique for order preference by similarity to ideal solution was applied to rank the composites using criteria based on mechanical properties like tensile strength, Young's modulus, flexural strength and stress intensity factor. As per the results obtained from the optimization, the composite with 25 wt.% SiC exhibits the optimal properties.
ABSTRACT In this study, the metallurgical performance (grade and recovery) forecasting of pilot p... more ABSTRACT In this study, the metallurgical performance (grade and recovery) forecasting of pilot plant flotation column using Artificial Neural Networks (ANN) and Multivariate Non-Linear Regression (MNLR) models is investigated. Modeling is performed based on 90 datasets at different operating conditions. The values of chemical reagents dosage, froth height, air and wash water flow rates, gas holdup and Cu, Mo grades in the rougher feed and flotation column feed, column tail and final concentrate streams are used to the simulation by means of NN and MNLR. The model validation analysis demonstrates the capability of both models to predict Cu and Mo grades and recoveries for a wide range of operating conditions in pilot flotation columns. It must be noted that ANN approach offers superior predictive capability over statistical method. It was also found that the error in prediction of metallurgical performance using the NN model was less than the error of the regression model. The best network is proposed with multi-layer perceptron (MLP) model, sigmoid activation function and Levenberg–Marquardt learning rule with 8-12-8-2 and 8-9-12-2 architectures, in order to estimate metallurgical performance of Cu and Mo respectively in flotation column. The results of this study indicate that a back-propagation neural network model with Root Mean Square Errors (RMSE) of 0.68 and 0.02 for prediction of Cu and Mo grades and 0.48 and 1.16 for prediction of Cu and Mo recoveries respectively has a better performance than the statistical method.
ABSTRACT One of the major errors in high-precision GPS positioning is multipath. Multipath effect... more ABSTRACT One of the major errors in high-precision GPS positioning is multipath. Multipath effect modeling and reduction have been a challenging issue in high-accuracy GPS positioning applications due to its special properties. Different methods have been employed to mitigate this error including hardware and software approaches. We reduce C/A code multipath error by adopting an efficient software method which uses wavelet transform as a basic data processing trend. The key idea of the proposed method is using stationary wavelet transform (SWT) in GPS signal data processing. Since we have used SWT, there is complete access to high-frequency and low-frequency terms in both time and frequency domains, and we can apply appropriated procedures to mitigate this error. The multipath error mostly is a low-frequency term. In our proposed method, the double difference (DD) residuals are applied to the SWT to identify the multipath disturbance. The extracted multipath is then used to correct DD observations. Our experiments include three data sets to investigate the proposed method and compare it with existing algorithms. We used simulations for two of these data sets. The results indicate the efficiency of the proposed method over existing algorithms.
A four-noded quadratic isoparametric flat shell element with six degrees of freedom per node is d... more A four-noded quadratic isoparametric flat shell element with six degrees of freedom per node is developed in order to study buckling behavior of sandwich shells under nodal concentric loading conditions. The relationship between the shell's curvature and resultant buckling strength, as well as buckling mode shapes of the shell has been investigated.
In order to investigate stability of the cry1Ab gene and resistance in the T 1 generation of tran... more In order to investigate stability of the cry1Ab gene and resistance in the T 1 generation of transgenic cotton (Gossypium hirsutum var. Coker 100), transgenic seeds were analyzed by PCR, Southern and Western blotting and bioassayed. Seed samples from transgenic lines (T 0 ) along with seeds from non-transgenic lines s as control were used. PCR analysis showed the presence of cry1Ab gene in 63 out of the 150 T 1 plants. Integration of the cry1Ab gene into the genome of transgenic plants was confirmed by Southern blotting. Western immunoblot analysis of transgenic plants revealed the presence of a band with MW of 67 kDa using anti-Cry1Ab-polyclonal antiserum. Bioassay tests indicated that the Cry1Ab protein was active and that the larvae died in the first days. Significant differences were observed in the mortality rate, growth rate and extent of damage on the leaves between the transgenic and non-transgenic plants. The average mortality of the larvae in line 17 was 100%, in comparison with the control. These results indicated the relative advantage of line 17, which carries one copy of the cry1Ab gene in comparison with the other lines.
Osteoarticular tuberculosis (TB) accounts for 1-5% of all TB cases and 10-18% of those with extra... more Osteoarticular tuberculosis (TB) accounts for 1-5% of all TB cases and 10-18% of those with extrapulmonary infection. Diagnosis is difficult, because the lungs are rarely involved and there are no specific signs or symptoms. The purpose of this study was to assess the frequency and clinical and laboratory findings in osteoarticular TB in two referral hospitals in Tehran, Iran. The hospital dataset of patients admitted with osteoarticular TB during 2003-2005 was reviewed. Patients' demographic data, clinical presentation and radiological and pathological findings were analysed. Weight loss (50%), fever (36%) and night sweats (38.5%) were the most common constitutional symptoms. Knee, ankle, hip and shoulder joints were the most frequent sites for TB arthritis. In osteomyelitis, long and short bones were equally affected. In TB spondylitis, the lumbar (22.7%) and thoracic (50%) vertebrae were the most commonly involved sites. The most frequently reported complications were sphincter disorder (39.1%), paraplegia (28.9%) and kyphosis (19.3%). TB osteomyelitis must always be borne in mind in countries where TB has high prevalence.
ABSTRACT The diagnosis of intraductal breast lesions has always been considered one of the most c... more ABSTRACT The diagnosis of intraductal breast lesions has always been considered one of the most challenging issues in breast cancer treatment. These lesions are divided into three groups: usual ductal hyperplasia (UDH), atypical ductal hyperplasia, and ductal carcinoma in situ. Investigations indicate that 50 % of surgeries performed on intraductal lesions have been unnecessary. Since patients afflicted with UDH do not need any surgery, appropriate classification of these lesions is very important. In this paper, a new method based on the fuzzy cognitive map (FCM) has been introduced for the screening and separation of UDH from the rest of intraductal lesions. For this purpose, 86 patients in the Shahid Beheshti Hospital of Isfahan were studied. Ten of the most significant characteristics needed for the screening of these lesions were extracted by three pathologists and used as the main concepts of FCM. The degree of impact of these features on one another and the impact of each feature on the final concept were extracted as linguistic expressions and in the form of fuzzy rules. After defuzzification, the matrix of FCM weights was obtained. An overall accuracy of 95.35 % was obtained on the entire database. The obtained results indicated that the proposed FCM not only enjoys a high level of accuracy, but also is capable of offering an acceptable FNR while reducing the value of FPR to zero. Here, by combining FCM with support vector machine, we have been able to improve the concordance among pathologists on inter- and intra-observations.
Background: Numerous epidemiologic studies have shown that esophagus cancer is more common in are... more Background: Numerous epidemiologic studies have shown that esophagus cancer is more common in areas with grains containing mycotoxin such as fumonisin B1 (FB1). The aim of this research is to study the effect of long-and short-term of esophagus tissue to fB1 orally administered in animal model.
The swelling potential of rocks including clay minerals in arid and semi-arid regions, where the ... more The swelling potential of rocks including clay minerals in arid and semi-arid regions, where the rocks experience completely dry to fully saturated conditions, is a complex problem. A method is lacking for determining the swell–shrink behavior of such rocks under variable water contents and boundary conditions prevailing in underground excavations. This paper suggests a method, which finally leads to a model, for determining the swell–shrink behavior of mudrock at the Masjed–Soleiman underground hydroelectric power plant (UHEPP). The recorded nonlinear behavior of the mudrock is modeled using an artificial neural network (ANN). The ANN model utilizes the information from the previous swell–shrink cycles to learn and model the dynamics of swell–shrink behavior. Using this method facilitates prediction of swelling pressure of argillaceous rocks with different swelling potentials and site conditions.
... and a 14.7% reduction in pesticide cost as compared to non-Bt cot-ton ... biolistic transform... more ... and a 14.7% reduction in pesticide cost as compared to non-Bt cot-ton ... biolistic transformation (Rajasekaran et al., 2000), Agrobacterium-mediated transformation (Tohidfar et al., 2005; Zapata et al ... the Coker variety responds very well to regeneration and gene transfer, most of ...
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010
The flotation column is a multivariable process whose main control objective is to guarantee the ... more The flotation column is a multivariable process whose main control objective is to guarantee the metallurgical yield set for the process operation, expressed by the grade and the recovery of the valuable mineral in the concentrate. The on-line estimation of grade usually requires a significant amount of work in maintenance and calibration of on-stream analyzers, in order to maintain good
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Papers by M. Mosavi