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An Efficient Indoor Localization Based on Deep Attention Learning Model

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Computer Systems Science & Engineering 2023年第8期46卷 2637-2650页

作者： Amr Abozeid Ahmed I.Taloba Rasha M.Abd El-Aziz Alhanoof Faiz Alwaghid mostafa salem Ahmed Elhadad Department of Computer Science College of Science and ArtsJouf UniversityQurayyatSaudi Arabia Information System Department Faculty of Computers and InformationAssiut UniversityEgypt Computer Science Department Faculty of Computers and InformationAssiut UniversityAssiutEgypt Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQenaEgypt

Indoor localization methods can help many sectors,such as healthcare centers,smart homes,museums,warehouses,and retail malls,improve their service *** a result,it is crucial to look for low-cost methods that can provide exact localization in indoor *** this context,imagebased localization methods can play an important role in estimating both the position and the orientation of cameras regarding an ***-based localization faces many issues,such as image scale and rotation ***,image-based localization’s accuracy and speed(latency)are two critical *** paper proposes an efficient 6-DoF deep-learning model for image-based *** model incorporates the channel attention module and the Scale PyramidModule(SPM).It not only enhances accuracy but also ensures the model’s real-time *** complex scenes,a channel attention module is employed to distinguish between the textures of the foregrounds and *** model adapted an SPM,a feature pyramid module for dealing with image scale and rotation variance ***,the proposed model employs two regressions(two fully connected layers),one for position and the other for orientation,which increases outcome *** on standard indoor and outdoor datasets show that the proposed model has a significantly lower Mean Squared Error(MSE)for both position and *** the indoor 7-Scenes dataset,the MSE for the position is reduced to 0.19 m and 6.25°for the ***,on the outdoor Cambridge landmarks dataset,the MSE for the position is reduced to 0.63 m and 2.03°for the *** to the findings,the proposed approach is superior and more successful than the baseline methods.

关键词： Image-based localization computer vision deep learning attention module VGG-16

MARIE:One-Stage Object Detection Mechanism for Real-Time Identifying of Firearms

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 279-298页

作者： Diana Abi-Nader Hassan Harb Ali Jaber Ali Mansour Christophe Osswald Nour mostafa Chamseddine Zaki Computer Science Department Faculty of SciencesLebanese UniversityBeirut146404Lebanon College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait Lab-STICC CNRS UMR 6285ENSTA-BretagneBrest29200France

Security and safety remain paramount concerns for both governments and individuals *** today’s context,the frequency of crimes and terrorist attacks is alarmingly increasing,becoming increasingly intolerable to ***,there is a pressing need for swift identification of potential threats to preemptively alert law enforcement and security forces,thereby preventing potential attacks or violent *** advancements in big data analytics and deep learning have significantly enhanced the capabilities of computer vision in object detection,particularly in identifying *** paper introduces a novel automatic firearm detection surveillance system,utilizing a one-stage detection approach named MARIE(Mechanism for Realtime Identification of Firearms).MARIE incorporates the Single Shot Multibox Detector(SSD)model,which has been specifically optimized to balance the speed-accuracy trade-off critical in firearm detection *** SSD model was further refined by integrating MobileNetV2 and InceptionV2 architectures for superior feature extraction *** experimental results demonstrate that this modified SSD configuration provides highly satisfactory performance,surpassing existing methods trained on the same dataset in terms of the critical speedaccuracy *** these innovations,MARIE sets a new standard in surveillance technology,offering a robust solution to enhance public safety effectively.

关键词： Firearm and gun detection single shot multi-box detector deep learning one-stage detector MobileNet inception convolutional neural network

Catalytic behaviors of Co-Mn/TiO_2 catalysts for Fischer-Tropsch synthesis

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燃料化学学报 2012年第12期40卷 1435-1443页

作者： mostafa Feyzi Faculty of Chemistry Razi UniversityKermanshahIran

The 15%(Co-Mn)/TiO2,(Co/Mn=1/6) catalyst was prepared using fusion procedure and studied for the conversion of synthesis gas to C2 ～ 4 *** effects of calcination conditions and operation conditions such as the H 2 / CO molar feed ratio at different temperatures,gas hourly space velocity(GHSV) and total reaction pressure on the catalytic performance of catalyst were *** stability of the catalyst during 150 h at optimal operation conditions(t = 250℃ H2 /CO= 2/1,GHSV=1 500 h-1 and p =0.3 MPa) has been *** is found that this catalyst is high stable for production C2 ～ 4 *** of both precursors and calcined catalysts by powder X-ray diffraction,scanning electron microscopy(SEM),Brunauer-Emmett-Teller(BET) specific surface area measurement and thermal analysis methods such as thermal gravimetric analysis(TGA) and differential scanning calorimetry(DSC) show that the different preparation method influences the catalyst precursor structure and morphology.

关键词：气化理论燃料化学研究发展

Geochemical and mineralogical characteristics of some gold mine tailings in the Eastern Desert of Egypt

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Frontiers of Earth Science 2022年第4期16卷 906-915页

作者： mostafa REDWAN Geology Department Faculty of ScienceSohag UniversitySohag 82524Egypt

The adverse environmental effects of mine tailings disposal on the surrounding ecosystems are world-wide environmental *** to environmental issues related to tailings discharged on land surface,detailed tailings characterization is a prerequisite for a long-term management *** tailings from four gold mines in Egypt,namely Fatira,El Sid,Barramiya,and Atud were investigated for their geochemical-mineralogical features and the effect of weathering behavior on the release of their heavy *** tailings samples were investigated by mineralogical(XRD and ESEM-EDS),physical(grain-size distribution)and geochemical(XRF)*** of the tailings have uniform silt-size with fine to very finesand and *** tailings have coarse to fine *** carbonate,predominantly calcite was found for the samples from Fatira and Atud,calcite-ankerite from El Sid and dolomite from Barramiya with little ***-mean of Cr(569287 mg/kg),Ni(89191 mg/kg)and Co(4221 mg/kg)values are coinciding with the ultramafic nature in Atud and Barramiya *** Sid tailings have a high-mean concentration of Zn(1357 mg/kg)and Pb(1349 mg/kg).Barramiya tailings have a high-mean As concentration(2635 mg/kg).The Fatira tailings are characterized by high-mean values of Sr(444 mg/kg)and Cu(280 mg/kg)arising from auriferous *** Sr concentrations in Fatira tailings are mainly due to its adsorption to iron *** oxidation is conceded along the cracks and/or the edges of the crystals in the El Sid,Barramiya and Atud *** Threshold Effect Level(TEL)values indicated high contamination from heavy elements to the neighboring *** tailings were deposited downstream into the small *** and water erosion can dissolve efflorescent materials enriched in toxic elements like As,Zn,and Pb at tailings *** release of contaminants could be catastrophic for the environment without mine site rehabilitation strategies.

关键词： gold mine tailings geochemistry mineralogy Egypt

Cooperative distributed state estimation:resilient topologies against smart spoofers

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Control Theory and Technology 2022年第4期20卷 488-503页

作者： mostafa Safi Amirkabir University of Technology HafezTehran 424Iran

A network of observers is considered,where through asynchronous(with bounded delay)communications,they cooperatively estimate the states of a linear time-invariant(LTI)*** such a setting,a new type of adversary might affect the observation process by impersonating the identity of the regular node,which is a violation of communication *** adversaries also inherit the capabilities of Byzantine nodes,making them more powerful threats called smart *** show how asynchronous networks are vulnerable to smart spoofing *** the estimation scheme considered in this paper,information flows from the sets of source nodes,which can detect a portion of the state variables each,to the other follower *** regular nodes,to avoid being misguided by the threats,distributively filter the extreme values received from the nodes in their *** conditions based on strong robustness are proposed to guarantee the *** simulation scenarios are provided to verify the results.

关键词： Cyber-physical systems Smart spoofing Distributed resilient algorithm Secure observers

Non-linear Semigroup of a Class of Abstract Semilinear Functional Differential Equations with a Non-Dense Domain

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Acta Mathematica Sinica,English Series 2004年第5期20卷 933-942页

作者： mostafa ADIMY mostafa LAKLACH Khalil EZZINBI Département de Mathématiques Appliquées U RS 2055 C.N.R.SUniversité de PauAvenue de l'Université64000 PauFrance Département de Mathématiques Faculté des Sciences SemlaliaB.P.2390MarrakeshMorocco

In this work,we are concerned with a general class of abstract semilinear autonomous functional differential equations with a non-dense domain on a Banach *** objective is to study,using the Crandall-Liggett approach,... 详细信息

关键词： Non-linear semigroup Semilinear functional differential equation Hille-Yosida operator Crandall-Ligget t approach

Nucleic Acid Metabolism, Proline Concentration and Antioxidants Enzyme Activity in Canola (Brassica nupus L.) Under Salinity Stress

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Agricultural Sciences in China 2010年第4期9卷 504-511页

作者： mostafa Heidari Department of Agronomy and Plant Breeding University of ZabolZabol P.O. Box 98615-538 Iran

Seedling of five canola genotypes, Hyola 308, Hyola 401, Hyola 60, Option 50 and RGS003, were grown in Hoagland nutrient solution containing S1 = 0, S2 = 100, S3 = 200 and S4 = 300 mmol L-1 NaCl in controlled environment. Proline, antioxidant activities like catalase （CAT）, ascobrate peroxidase （APX） and guaiacol peroxidase （GPX） and some enzyme activities of nucleic acid metabolism were determined in shoot and root 20 days after induction of salinity stress. Results showed application of stress significantly affected plant growth components such as fresh （FW） and dry weight （DW） of canola genotypes. Among the genotypes, RGS003 had the highest reduction of FW and DW in S3 treatment. By increasing NaCl levels from 0 to 300 mmol L-1, the activity of two antioxidant enzymes （APX and CAT） in shoot and root increased but GPX in all of genotypes decreased. The increase in salinity stress, increased proline concentration in both root and shoot tissues of canola genotypes. Hyola 401 genotype had the maximum concentration of proline in root and shoot in S3 treatment. Along with increased salinity stress in all of the studied plants, salinity significantly increased the level of the total nucleic acid and the activity of DNase I in all of salinity treatments and at the S3 level, RGS003 had the maximum concentration of nucleolytic enzyme.

关键词： antioxidant activity proline salinity nucleolytic enzyme canola

Hybrid Physics and Data-driven Contingency Filtering for Security Operation of Micro Energy-water Nexus

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CSEE Journal of Power and Energy Systems 2023年第5期9卷 1820-1831页

作者： mostafa Goodarzi Qifeng Li the Department of Electrical and Computer Engineering University of Central FloridaOrlandoFL 32816 USA

This paper investigates a novel engineering problem,i.e.,security-constrained multi-period operation of micro energywater *** problem is computationally challenging because of its high nonlinearity,nonconvexity,and large *** propose a two-stage iterative algorithm employing a hybrid physics and data-driven contingency filtering(CF)method and convexification to solve *** convexified master problem is solved in the first stage by considering the base case operation and binding contingencies set(BCS).The second stage updates BCS using physics-based data-driven methods,which include dynamic and filtered data *** method is faster than existing CF methods because it relies on offline optimization problems and contains a limited number of online optimization *** validate effectiveness of the proposed method using two different case studies:the IEEE 13-bus power system with the EPANET 8-node water system and the IEEE 33-bus power system with the Otsfeld 13-node water system.

关键词： Contingency filtering micro energy-water nexus multi-period secure operation optimal power and water flow physics-guided data-driven

Characteristics Study on Bi-Pb Based Alloys Quenched from Melt

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Journal of Materials Science & Technology 2009年第4期25卷 449-453页

作者： Rizk mostafa Shalaby Metal Physics Laboratory Physics DepartmentFaculty of ScienceMansoura University

Three different bismuth-lead systems namely, Wood＇s alloy （Bi50Pb25Sn12.5Cd12.5）, Newton＇s alloy （Bi50Pb31.2Sn18.8） and Rose＇s alloy （B50Pb28Sn22）, with one used as fusible alloys were quenched from melt by melt spinning technique. Thermal analysis, structure and mechanical properties of all alloys have been studied and analyzed. From X-ray diffraction analysis, an intermetallic compound phase, designated Pb7Bi3 is detected. The formation of an intermetallic compound phase causes a pronounced increase in the electrical resistivity. The Wood＇s alloy containing-cadmium exhibits mechanical properties superior to both the Newton＇s and Rose＇s alloys. The presence of cadmium in Wood＇s alloy decreases its melting point. Wood＇s alloy has better properties, which make it useful in various applications such as in protection shields for radiotherapy, locking of mechanical devices and welding at low temperature.

关键词： Thermal properties Electrical resistivity Mechanical properties Radiotherapy and fusible alloys