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Active-sensing platform for structural health monitoring: Development and deployment
Taylor, Stuart G,Raby, Eric Y,Farinholt, Kevin M,Park, Gyuhae,Todd, Michael D SAGE Publications 2016 Structural health monitoring Vol.15 No.4
<P>Embedded sensing for structural health monitoring is a rapidly expanding field, propelled by algorithmic advances in structural health monitoring and the ever-shrinking size and cost of electronic hardware necessary for its implementation. Although commercial systems are available to perform the relevant tasks, they are usually bulky and/or expensive because of their high degree of general utility to a wider range of applications. As a result, multiple separate devices may be required in order to obtain the same results that could be obtained with a structural health monitoring-specific device. This work presents the development and deployment of a versatile, Wireless Active-Sensing Platform, designed for the particular needs of embedded sensing for multi-scale structural health monitoring. The Wireless Active-Sensing Platform combines a conventional data acquisition ability to record voltage output (e.g. from strain or acceleration transducers) with ultrasonic guided wave-based active-sensing, and a seamlessly integrated impedance measurement mode, enabling impedance-based structural health monitoring and piezoelectric sensor diagnostics to reduce the potential for false positives in damage identification. The motivation, capabilities, and hardware design for the Wireless Active-Sensing Platform are reviewed, and three deployment examples are presented, each demonstrating an important aspect of embedded sensing for structural health monitoring.</P>
Regional Optimal Control Problem Governed by Distributed Bi-linear Hyperbolic Systems
Rabie Zine,Maawiya Ould Sidi 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
This paper considers the regional bi-linear control problem of an important class of hyperbolic systems. The objective is to bring the state solutions at time T close to a desired observations wd only on a sub-region ω along the spatial domain Ω. We prove the existence of solution by minimizing sequence method. The adjoint system of this problem is introduced and used to characterize the optimal control. A numerical approach is developed and illustrated successfully by simulations.
Recurrent malignant solitary fibrous tumor of the scalp: a case report and literature review
Ahmed Rabie,Abdulkarim Hasan,Yasein Mohammed,Ayman Abdelmaksoud,Rabaan Ali A. 대한병리학회 2022 Journal of Pathology and Translational Medicine Vol.56 No.2
Solitary fibrous tumor (SFT) is a rare type of mesenchymal neoplasm that first was discovered in the pleura but can also affect the peritoneum, lungs, mediastinum, and skin. Cutaneous malignant SFT is an extremely rare tumor that resembles dermatofibrosacoma protuberance (DFSP) histologically and immunohistochemically. Herein, we describe a case of malignant SFT that presented as a recurrent mass on the scalp. The first lesion was totally excised one year before recurrence and was diagnosed as a DFSP based on the histopathology and cluster of differentiation 34 immunostaining positivity. Re-examination of the previously examined specimen was considered. Activator of transcription 6 positivity was also detected in the tissue, confirming the diagnosis of a recurrent malignant SFT rather than DFSP. There was no evidence of recurrence, locoregional, or distant metastases at six months after lesion removal with a safety margin.
Co-Activation of CH4 and CO2 for Acetic acid over Cu-Loaded catalysts
( Abdelrahman Rabie ),( Ranjitkulkarni ),최영주,박상언 한국공업화학회 2016 한국공업화학회 연구논문 초록집 Vol.2016 No.0
Cu nanoparticles were loaded onto NaZSM-5 and proven to form acetic acid by the co-feed of methane and carbon monoxide in a continuous flowed fixed-bed microreactor. Considerable yield on acetic acid were obtained via one-step reaction without cyclic or two-step reaction by feeding methane and CO2 alternatively in overall reaction temperatures between 425 to 525°C, and 5x10(4) μmol.gcat-1 of acetic acid was obtained at 525 °C with CO2/CH4 having molar ratio of 2.75, and 360 ml hr-1 of space velocity based on methane. Reduced Cu exchanged Na-ZSM5 catalyst exhibited superior formation rate of acetic acid than Cu ion exchanged NaZSM-5 and Cu-HZSM-5 catalysts. Hence, the supported Cu nanoparticles NaZSM-5 catalyst could enable activate both CO2 and CH4 simultaneously to give acetic acid in a continuous reaction mode.
( Abdelrahman Rabie ),( A. M. Elfadly ),( M. A. Betiha ),박상언 한국공업화학회 2015 한국공업화학회 연구논문 초록집 Vol.2015 No.0
The ODH of ethylbenzene to styrene was investigated over different loadings of V2O5 (5-30 wt.%) supported on HMS embedded with Zr. The all prepared materials were tested for their performance with environmentally friendly carbon dioxide as soft oxidant. All the prepared catalysts were treated by hydrothermal and microwave methods. The catalysts were characterized by XRD, IR, TPD, BET and TEM. With comparing the different loadings of the catalysts we found that the most active loading is 20% of V2O5/ZrO2-HMS microwave treated (V/ZHMSMW3). The catalyst V/ZHMS-MW3 exhibited higher activity among the all prepared catalysts. Maximum conversion of ethylbenzne 82.44, yield 82.19 and selectivity 99.75 for styrene were obtained by V/ZHMS-MW3.
A Parallel Genetic Algorithm for Solving Deadlock Problem within Multi-Unit Resources Systems
Ahmed, Rabie,Saidani, Taoufik,Rababa, Malek International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.12
Deadlock is a situation in which two or more processes competing for resources are waiting for the others to finish, and neither ever does. There are two different forms of systems, multi-unit and single-unit resource systems. The difference is the number of instances (or units) of each type of resource. Deadlock problem can be modeled as a constrained combinatorial problem that seeks to find a possible scheduling for the processes through which the system can avoid entering a deadlock state. To solve deadlock problem, several algorithms and techniques have been introduced, but the use of metaheuristics is one of the powerful methods to solve it. Genetic algorithms have been effective in solving many optimization issues, including deadlock Problem. In this paper, an improved parallel framework of the genetic algorithm is introduced and adapted effectively and efficiently to deadlock problem. The proposed modified method is implemented in java and tested on a specific dataset. The experiment shows that proposed approach can produce optimal solutions in terms of burst time and the number of feasible solutions in each advanced generation. Further, the proposed approach enables all types of crossovers to work with high performance.