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81.
Mubbshir Saleem Razieh Rafieenia Jalal Uddin Maria Cristina Lavagnolo 《International Journal of Hydrogen Energy》2021,46(40):20871-20881
This study investigates the performance and hidden hydrogen consuming metabolic pathways of a fermentative side stream dynamic membrane (DM) bioreactor using flux balance analysis (FBA). The bioreactor was inoculated with untreated methanogenic seed sludge. It was found that fouling rate aggravated with increasing COD concentration (10–30 g/L) and was positively correlated to it rather than to the applied solid flux on the DM module. Due to increased fouling rate the hydraulic retention time (HRT) could not be reduced less than 0.82 ± 0.02 d. An increase in the organic loading rate (OLR) led to an increase in H2 yield from 0.01 to 0.76 mol H2/mol of sucrose. FBA revealed that homoacetogenesis was the main H2-consuming pathway at lower OLRs (corresponding to 10 and 15 g COD/L), while for the OLR corresponding to 30 g COD/L, homoacetogens were suppressed. More importantly, caproic acid production pathway was identified for the first time as another H2-consuming pathway at high OLR which was not significant at lower OLRs during fermentative dynamic membrane bioreactor operations. 相似文献
82.
Xiang Guo-sheng Ye Wei-min Zhou Yinkang Jalal Fazal E. 《Bulletin of Engineering Geology and the Environment》2021,80(9):6677-6688
Bulletin of Engineering Geology and the Environment - In order to dispose of high level nuclear waste during the operation of underground geological repositories, the buffer/backfill performance of... 相似文献
83.
Franois Dieudonn Sbastien Haendler Jalal Jomaah Francis Balestra 《Microelectronics Reliability》2003,43(2):6190
Low frequency noise characterization of 0.12 μm silicon-on-insulator (SOI) CMOS technology is for the first time performed for partially and fully depleted N-MOSFETs. Static performances of the experimental devices are first presented, then we address the drain current fluctuations in both linear and saturation regimes. Taking into consideration the usually admitted 1/f noise models in MOS devices and their applicability in our case, we point out an enhancement of the extracted trap densities for both architectures compared to previously obtained results in 0.25 μm SOI CMOS technology. As regards drain current spectral densities in saturation mode, we notice some peculiarities occurring for the Kink-related excess noise. 相似文献
84.
Agarwal Anurag Salahuddin Asif Wang Hualong Ahamed Mohammed Jalal 《Microsystem Technologies》2020,26(8):2465-2477
Microsystem Technologies - In this paper, we present elaborate study of design parameters of hybrid microfluidic mixer through numerical approach using finite element method and experimental... 相似文献
85.
Mehdi Maboudi Jalal Amini Michael Hahn Mehdi Saati 《International journal of remote sensing》2017,38(1):179-198
Increasing demands for up-to-date road network and the availability of very-high-resolution (VHR) satellite images as well as the popularity of high-speed computers provide motivation and preliminary materials for researchers to propose more advanced approaches in order to increase the automation and robustness of road extraction strategies. In this article, road characteristics are modelled via object-based image analysis (OBIA). Object-based information is embedded as heuristic information in the ant colony optimization (ACO) algorithm for handling the road network extraction problem. A new neighbourhood definition in object space is introduced, which affects the transition rule in order to decrease the road gaps. Furthermore, an innovative desirability function for ACO is designed, which extracts the road objects, competently. The experimental results demonstrate the efficiency of the proposed algorithm for road extraction from VHR images. Moreover, the results of two state-of-the-art methods are compared with the proposed algorithm. 相似文献
86.
The least squares twin support vector machine (LSTSVM) generates two non-parallel hyperplanes by directly solving a pair of linear equations as opposed to solving two quadratic programming problems (QPPs) in the conventional twin support vector machine (TSVM), which makes learning speed of LSTSVM faster than that of the TSVM. However, LSTSVM fails to discover underlying similarity information within samples which may be important for classification performance. To address the above problem, we apply the similarity information of samples into LSTSVM to build a novel non-parallel plane classifier, called K-nearest neighbor based least squares twin support vector machine (KNN-LSTSVM). The proposed method not only retains the superior advantage of LSTSVM which is simple and fast algorithm but also incorporates the inter-class and intra-class graphs into the model to improve classification accuracy and generalization ability. The experimental results on several synthetic as well as benchmark datasets demonstrate the efficiency of our proposed method. Finally, we further went on to investigate the effectiveness of our classifier for human action recognition application. 相似文献
87.
Wireless Personal Communications - In this paper, a miniaturized substrate integrated waveguide (SIW) band-pass cavity filter is presented. Miniaturization is achieved using the half-mode (HM)... 相似文献
88.
Soumendu Chakraborty Anand Singh Jalal Charul Bhatnagar 《Multimedia Tools and Applications》2017,76(6):7973-7987
Image steganography is the art of hiding secret message in grayscale or color images. Easy detection of secret message for any state-of-art image steganography can break the stego system. To prevent the breakdown of the stego system data is embedded in the selected area of an image which reduces the probability of detection. Most of the existing adaptive image steganography techniques achieve low embedding capacity. In this paper a high capacity Predictive Edge Adaptive image steganography technique is proposed where selective area of cover image is predicted using Modified Median Edge Detector (MMED) predictor to embed the binary payload (data). The cover image used to embed the payload is a grayscale image. Experimental results show that the proposed scheme achieves better embedding capacity with minimum level of distortion and higher level of security. The proposed scheme is compared with the existing image steganography schemes. Results show that the proposed scheme achieves better embedding rate with lower level of distortion. 相似文献
89.
90.
Mohammad Ali Marzban Seyed Jalal Hemmati 《The International Journal of Advanced Manufacturing Technology》2017,89(1-4):125-132
Abrasive flow machining (AFM) is one of the non-traditional machining processes applicable to finishing, deburring, rounding of edges, and removing defective layers from workpiece surface. Abrasive material, used as a mixture of a polymer with abrasive material powder, has reciprocal motion on workpiece surface under pressure during the process. In the following study, a new method of AFM process called henceforth abrasive flow rotary machining (AFRM) will be proposed, in which by elimination of reciprocal motion of abrasive material and the mere use of its stirring and rotation of workpiece, the amount of used material would be optimized. Furthermore, AFRM is executable by simpler tools and machines. In order to investigate performance of the method, experimental tests were designed by the Taguchi method. Then, the tests were carried out and the influence of candidate effective parameters was determined and modeled by artificial neural network (ANN) method. To evaluate the ANN results, they were compared with reported results of AFM. An agreement between our ANN results on predictions of AFRM material removal value and surface roughness was observed with AFM data. The results showed through AFRM, in addition to saving of abrasive material, surface finish is achievable same as AFM’s. 相似文献