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Numerical Integration Over Implicitly Defined Domains with Topological Guarantee

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Communications in Mathematics and Statistics 2019年第4期7卷 459-474页

作者： Tianhui Yang ammar Qarariyah Hongmei Kang Jiansong Deng School of Mathematical Science University of Science and Technology of ChinaHefeiChina School of Mathematical Sciences Soochow UniversitySuzhouChina

Numerical integration over the implicitly defined domains is challenging due to topological variances of implicit *** this paper,we use interval arithmetic to identify the boundary of the integration domain exactly,thus getting the correct topology of the ***,a geometry-based local error estimate is explored to guide the hierarchical subdivision and save the computation *** experiments are presented to demonstrate the accuracy and the potential of the proposed method.

关键词： Isogeometric analysis Numerical integration Implicitly defined domains Topological guarantee Interval arithmetic Local error estimate Hierarchical subdivision

Generalization of Advanced Encryption Standard Based on Field of Any Characteristic

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Computers, Materials & Continua 2022年第12期73卷 6121-6138页

作者： Nabilah Abughazalah Majid Khan Noor Munir ammar SAlanazi Iqtadar Hussain Department of Mathematical Sciences College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Applied Mathematics&Statistics Institute of Space TechnologyIslamabadPakistan King Abdulaziz City for Science and Technology RiyadhSaudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar Statistical Consulting Unit College of Arts and ScienceQatar UniversityDohaQatar

Nowadays most communications are done by utilizing digital transmission *** security of this digital information transmitted through different communication systems is quite *** secrecy of digital data is one of the burning topics of the digitally developed *** exist many traditional algorithms in the literature to provide methods for robust *** most important and recent modern block cipher named the advanced encryption standard(AES)is one of the extensively utilized encryption schemes with binary *** is a succession of four fundamental steps:round key,sub-byte,shift row,and mix *** this work,we will provide an innovative methodology for extending the AES in a Galois fieldwith any characteristic *** four steps in the fundamental process with binary characteristics will be adjusted because of the new *** applying double affine transformations,we have enhanced the number of options in our suggested substitution *** reconstruction of the nonlinear confusion component and encryption structure provides robustness in the generalized *** increase in the keyspace due to the Galois field generalization implies that we have improved additional confusion abilities and broadened the current *** implementation of the proposed structure of AES for image,audio,and video encryption will provide high security for secure communication.

关键词： AES generalized AES binary field ternary function

Power quality improvement using fuzzy logic controller for five-level shunt active power filter under distorted voltage conditions

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Frontiers in Energy 2014年第2期8卷 212-220页

作者： Amar BENAISSA Boualaga RABHI ammar MOUSSI Department of Electrical Engineering University of Djelfa B.P.3117 Djelfa 17000 Algeria SE Laboratory University of Biskra B.P. 145 Biskra 07000 Algeria ARHYS Laboratory University of Biskra B.P.145 Biskra 07000 Algeria

In this paper, a five-level inverter is used as a shunt active power filter （APF）, taking advantages of the multilevel inverter such as low harmonic distortion and reduced switching losses. It is used to compensate reactive power and eliminate harmonics drawn from a thyristor rectifier feeding an inductive load （RL） under distorted voltage conditions. The APF control strategy is based on the use of self-tuning filters （STF） for reference current generation and a fuzzy logic current controller. The use of STF instead of classical extraction filters allows extracting directly the voltage and current fundamental components in the a-fl axis without phase locked loop （PLL）. The MATLAB fuzzy logic toolbox is used for implementing the fitzzy logic control algorithm. The obtained results show that the proposed shunt APF controller has produced a sinusoidal supply current with low harmonic distortion and in phase with the line voltage.

关键词： active power filter (APF) harmonics isolator distorted voltage conditions self-tuning filters (STF) fuzzy logic control

Non-phosgene synthesis of hexamethylene-1,6-diisocyanate from thermal decomposition of hexamethylene-1,6-dicarbamate over Zn–Co bimetallic supported ZSM-5 catalyst

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Chinese Journal of Chemical Engineering 2019年第3期27卷 549-555页

作者： Yan Cao Yafang Chi ammar Muhammad Peng He liguo Wang Huiquan Li CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology Institute of Process Engineering Chinese Academy of Sciences University of Chinese Academy of Sciences

A non-phosgene route for the synthesis of hexamethylene-1,6-diisocyanate(HDI) was developed via catalytic decomposition of hexamethylene-1,6-dicarbamate(HDC) over Zn–Co bi-metallic supported ZSM-5 *** catalyst was characterized by FTIR and XRD analyses. Three solvents dioctyl sebacate(DOS), dibutyl sebacate(DBS) and 1-butyl-3-methylimidazolium tetrafluoroborate(BMIMBF_4) were investigated and compared; DOS gave better performance. The catalytic performances for thermal decomposition of HDC to HDI using DOS as solvent were then investigated, and the results showed that, under the optimized reaction conditions, i.e.,10 wt%concentration of HDC in DOS, 250 °C temperature, 60 min reaction time, 83.8% yield of HDI had been achieved over Zn–Co/ZSM-5. Decomposition of the intermediate hexamethylene-1-carbamate-6-isocyanate(HMI) over Zn–Co/ZSM-5 in DOS solvent was further studied and the results indicated that yield of HDI from HMI reached to 69.6%(98.6% HDI selectively) at 270 °C, which further increased the yield of the total HDI(HDI_(tol)) to as high as 95.0%. Recycling of catalyst showed that HDI and HMI yield slightly decreased, and by-product yield increased after the catalyst was reused for 4 times. At last possible reaction mechanism was proposed.

关键词： Non-phosgene Thermal decomposition Hexamethylene-1,6-diisocyanate Hexamethylene-1,6-dicarbamate Bimetallic supported ZSM-5 catalyst

Nonlinear Weighted Average and Blossoming

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Communications in Mathematics and Statistics 2020年第3期8卷 361-378页

作者： Rongin Uwitije Xuhui Wang ammar Qarariyah Jiansong Deng School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026AnhuiPeople’s Republic of China School of Mathematics Hefei University of TechnologyHefei 230009AnhuiPeople’s Republic of China

In this paper,we introduce a new averaging rule,the nonlinear weighted averaging *** an application,this averaging rule is used to replace the midpoint averaging in the de Casteljau evaluation algorithm and with this scheme we can also generate transcendental functions which cannot be generated by the classical de Casteljau *** also investigate the properties of the curves of the functions generated by blossoming,where the results show that these curves and the classical Bézier curves have some similar properties,including variation diminishing property and endpoint ***,the curves obtained by blossoming using nonlinear weighted averaging rules induced by certain functions violate some properties like convex hull property.

关键词： Nonlinear weighted averaging rule Midpoint averaging De Casteljau algorithm Bézier curves Blossoming

An efficient green route for hexamethylene-1,6-diisocyanate synthesis by thermal decomposition of hexamethylene-1,6-dicarbamate over Co3O4/ZSM-5 catalyst： An indirect utilization of CO2

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Chinese Journal of Chemical Engineering 2017年第12期25卷 1760-1770页

作者： Muhammad ammar Yan Cao Peng He Liguo Wang Jiaqiang Chen Huiquan Li Key Laboratory of Green Process and Engineering National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology Institute of Process Engineering CAS Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China

The utilization of CO2 as raw material for chemical synthesis has the potential for substantial economic and green benefits. Thermal decomposition of hexamethylene-1,6-dicarbamate （HDC） is a promising approach for indirect utilization of CO2 to produce hexamethylene-1,6-diisocyanate （HDI）. In this work, a green route was developed for the synthesis of HD1 by thermal decomposition of HDC over Co3O4/ZSM-5 catalyst, using chlorobenzene as low boiling point solvent. Different metal oxide supported catalysts were prepared by incipient wetness impregnation （IWI）, PEG-additive （PEG） and deposition precipitation with ammonia evaporation （DP） methods. Their catalytic performances for the thermal decomposition of HDC were tested. The catalyst screening results showed that Co3O4/ZSM-525 catalysts prepared by different methods showed different performances in the order of Co3O4/ZSM-5 25（PEG）〉 Co3O4/ZSM-525（IWI）〉 Co3O4/ZSM-525（DP）. The physicochemical properties of Co3O4/ZSM- 52s catalyst were characterized by XRD, FTIR, N2 adsorption-desorption measurements, NH3-TPD and XPS. The superior catalytic performance of Co3O4/ZSM-52S（PEG） catalyst was attributed to its relative surface content of Co3 ＋, surface lattice oxygen content and total acidity. Under the optimized reaction conditions： 6.5% HDC concentration in chlorobenzene, 1 wt% Co3O4/ZSM-525（PEG） catalyst, 250℃ temperature, 2.5 h time, 800 *** 1 nitrogen flow rate and 1.0 MPa pressure, the HDC conversion and HDI yield could reach 100% and 92.8% respectively. The Co3O4/ZSM-525（PEG） catalyst could be facilely separated from the reaction mixture, and reused without degradation in catalytic performance. Furthermore, a possible reaction mechanism was proposed based on the physicochemical properties of the Co3O4/ZSM-5 25 catalysts.

关键词： Hexamethylene-1 6-dicarbamate (HDC)Hexamethylene-1 6-diisocyanate (HDI) Thermal decomposition Co3O4/ZSM-5 Heterogeneous catalyst

Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework

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Chinese Journal of Chemical Engineering 2021年第1期34卷 253-265页

作者： Muhammad Nawaz Abdulhalim Shah Maulud Haslinda Zabiri Syed Ali ammar Taqvi Alamin Idris Department of Chemical Engineering Universiti Teknologi PETRONAS32610 Bandar Seri IskandarPerakMalaysia Centre of Contaminant Control&Utilization(CenCoU) Universiti Teknologi PETRONAS32610 Bandar Seri IskandarPerakMalaysia Department of Chemical Engineering NED University of Engineering&TechnologyKarachi 75270Pakistan Department of Chemical and Engineering Sciences Karlstad UniversityKarlstadSweden

Process monitoring techniques are of paramount importance in the chemical industry to improve both the product quality and plant *** or incipient irregularities may lead to severe degradation in complex chemical processes,and the conventional process monitoring techniques cannot detect these *** this study to improve the performance of monitoring,an online multiscale fault detection approach is proposed by integrating multiscale principal component analysis(MSPCA) with cumulative sum(CUSUM) and exponentially weighted moving average(EWMA) control *** new Hotelling's T~2 and square prediction error(SPE) based fault detection indices are proposed to detect the incipient irregularities in the process *** performance of the proposed fault detection methods was tested for simulated data obtained from the CSTR system and compared to that of conventional PCA and MSPCA based *** results demonstrate that the proposed EWMA based MSPCA fault detection method was successful in detecting the ***,a comparative study shows that the SPEEWMA monitoring index exhibits a better performance with lower values of missed detections ranging from 0% to 0.80% and false alarms ranging from 0% to 21.20%.

关键词： Chemical process system CSTR Fault detection Multiscale Principal component analysis Process monitoring

Artificial visual perception neural system using a solution-processable MoS_(2)-based in-memory light sensor

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光:科学与应用(英文版) 2023年第8期12卷 1583-1594页

作者： Dayanand Kumar Lana Joharji Hanrui Li Ayman Rezk ammar Nayfeh Nazek El-Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer Engineering ProgramComputer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Kingdom of Saudi Arabia Department of Electrical Engineering and Computer Science Khalifa UniversityAbu Dhabi 127788United Arab Emirates

Optoelectronic devices are advantageous in in-memory light sensing for visual information processing,recognition,and storage in an energy-efficient ***,in-memory light sensors have been proposed to improve the energy,area,and time efficiencies of neuromorphic computing *** study is primarily focused on the development of a single sensing-storage-processing node based on a two-terminal solution-processable MoS2 metal-oxide-semiconductor(MOS)charge-trapping memory structure—the basic structure for charge-coupled devices(CCD)—and showing its suitability for in-memory light sensing and artificial visual *** memory window of the device increased from 2.8 V to more than 6V when the device was irradiated with optical lights of different wavelengths during the program ***,the charge retention capability of the device at a high temperature(100 ℃)was enhanced from 36 to 64%when exposed to a light wavelength of 400 *** larger shift in the threshold voltage with an increasing operating voltage confirmed that more charges were trapped at the Al_(2)O_(3)/MoS_(2) interface and in the MoS_(2) layer.A small convolutional neural network was proposed to measure the optical sensing and electrical programming abilities of the *** array simulation received optical images transmitted using a blue light wavelength and performed inference computation to process and recognize the images with 91%*** study is a significant step toward the development of optoelectronic MOS memory devices for neuromorphic visual perception,adaptive parallel processing networks for in-memory light sensing,and smart CCD cameras with artificial visual perception capabilities.

关键词： visual neural process

Intelligent Microservice Based on Blockchain for Healthcare Applications

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Computers, Materials & Continua 2021年第11期69卷 2513-2530页

作者： Faisal Jamil Faiza Qayyum Soha Alhelaly Farjeel Javed ammar Muthanna Department of Computer Engineering Jeju National UniversityJeju-si63243Korea College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia SAP Pakistan Liaison Office Islamabad44010Pakistan Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia Peoples’Friendship University of Russia(RUDN University)6 Miklukho-Maklaya St MoscowMoscow117198Russian Federation

Nowadays,the blockchain,Internet of Things,and artificial intelligence technology revolutionize the traditional way of data mining with the enhanced data preprocessing,and analytics approaches,including improved service ***,one of the main challenges is designing a combined approach that provides the analytics functionality for diverse data and sustains IoT applications with robust and modular blockchain-enabled services in a diverse *** data analytics model not only provides support insights in IoT data but also fosters process *** a robust IoT-based secure analytic model is challenging for several purposes,such as data from diverse sources,increasing data size,and monolithic service designing *** article proposed an intelligent blockchain-enabled microservice to support predictive analytics for personalized fitness data in an IoT *** designed system support microservice-based analytic functionalities to provide secure and reliable services for *** demonstrate the proposed model effectiveness,we have used the IoT fitness application as a case *** on the designed predictive analytic model,a recommendation model is developed to recommend daily and weekly diet and workout plans for improved body ***,the recommendation model objective is to help trainers make future health decisions of trainees in terms of workout and diet ***,the proposed model is evaluated using Hyperledger Caliper in terms of latency,throughput,and resource utilization with varying peers and orderer *** experimental result shows that the proposed model is applicable for diverse resourceconstrained blockchain-enabled IoT applications and extensible for several IoT scenarios.

关键词： Internet of things blockchain microservice fitness service