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Automatic Anomaly Monitoring in Public Surveillance Areas

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Intelligent Automation & Soft Computing 2023年第3期35卷 2655-2671页

作者： Mohammed Alarfaj Mahwish Pervaiz Yazeed Yasin Ghadi Tamara al Shloul Suliman A.Alsuhibany Ahmad jalal Jeongmin Park Department of Electrical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science Bahria UniversityIslamabadPakistan Department of Computer Science and Software Engineering Al Ain UniversityAl Ain15551UAE Department of Humanities and Social Science Al Ain UniversityAl Ain15551UAE Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science Air UniversityIslamabadPakistan Department of Computer Engineering Korea Polytechnic University237 Sangidaehak-ro Siheung-siGyeonggi-do15073Korea

With the dramatic increase in video surveillance applications and public safety measures,the need for an accurate and effective system for abnormal/sus-picious activity classiﬁcation also *** it has multiple applications,the problem is very *** this paper,a novel approach for detecting nor-mal/abnormal activity has been *** used the Gaussian Mixture Model(GMM)and Kalmanﬁlter to detect and track the objects,*** that,we performed shadow removal to segment an object and its *** object segmentation we performed occlusion detection method to detect occlusion between multiple human silhouettes and we implemented a novel method for region shrinking to isolate occluded *** c-mean is utilized to verify human silhouettes and motion based features including velocity and opticalﬂow are extracted for each identiﬁed *** Wolf Optimizer(GWO)is used to optimize feature set followed by abnormal event classiﬁcation that is performed using the XG-Boost classiﬁ*** system is applicable in any surveillance appli-cation used for event detection or anomaly *** of proposed system is evaluated using University of Minnesota(UMN)dataset and UBI(Uni-versity of Beira Interior)-Fight dataset,each having different type of *** mean accuracy for the UMN and UBI-Fight datasets is 90.14%and 76.9%*** results are more accurate as compared to other existing methods.

关键词： Abnormal event classiﬁcation gray wolf optimizer region shrinking xg-boost classiﬁer

Green Recyclable CuO-CeO_(2)Nanocomposite Catalyzed Amination of Aryl Halides with Aqueous Ammonia in Water

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Chinese Journal of Chemistry 2014年第5期32卷 396-398页

作者： jalal Albadi Azam Mansournezhad Behbahan Khatam Alanbia University of Technology BehbahanIran Department of Chemistry Gachsaran BranchIslamic Azad UniversityGachsaranIran

CuO-CeO_(2)nanocomposite as a green recyclable catalyst,catalyzed amination of aryl halides with aqueous am-monia in *** catalyst can be easily recovered by simple filtration and recycled up to 5 consecutive runs with consistent *** procedure provides some advantages such as simple work-up,clean procedure,relatively short reaction times and high yields of the products.

关键词： CuO-CeO_(2)nanocomposite amination aryl halides ammonia

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

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Frontiers of Structural and Civil Engineering 2023年第5期17卷 812-826页

作者： Long Hoang NGUYEN Dung Quang VU Duc Dam NGUYEN Fazal E.jalal Mudassir IQBAL Vinh The DANG Hiep Van LE Indra PRAKASH Binh Thai PHAM Faculty of Civil Engineering University of Transport TechnologyHanoi 10000Vietnam Department of Civil Engineering State Key Laboratory of Ocean EngineeringShanghai Jiao Tong UniversityShanghai 200025China Department of Civil Engineering University of Engineering and TechnologyPeshawar 25120Pakistan DDG(R)Geological Survey of India Gandhinagar 382010India

A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements,such as the modulus of the subgrade reaction(Y1)and the elastic modulus of the slab(Y2),which are crucial for assessing the structural strength of *** this study,we developed a novel hybrid artificial intelligence model,i.e.,a genetic algorithm(GA)-optimized adaptive neuro-fuzzy inference system(ANFIS-GA),to predict Y1 and Y2 based on easily determined 13 parameters of rigid *** performance of the novel ANFIS-GA model was compared to that of other benchmark models,namely logistic regression(LR)and radial basis function regression(RBFR)*** models were validated using standard statistical measures,namely,the coefficient of correlation(R),mean absolute error(MAE),and root mean square error(RMSE).The results indicated that the ANFIS-GA model was the best at predicting Y1(R=0.945)and Y2(R=0.887)compared to the LR and RBFR ***,the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters for the appropriate and rapid assessment of the quality and strength of pavements.

关键词： falling weight deflectometer modulus of subgrade reaction elastic modulus metaheuristic algorithms

Hybrid extended Fourier series for optimal control of nonlinear algebraic dynamical systems

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控制理论与应用（英文版） 2011年第4期9卷 487-492页

作者： jalal NAZARZADEH Hamidreza RADMANESH Department of Electrical Engineering Shahed University

The paper introduces a new method for finding optimal control of algebraic dynamic systems. The structure of algebraic dynamical systems is nonlinear with quadratic and bilinear terms. A new hybrid extended Fourier series is introduced, and state and control variables of the system are expanded by this series. Moreover, properties of new series are presented, and integration and product operational matrices are obtained. Using operational matrices, optimal control of the systems is converted to a set of simultaneous nonlinear algebraic relations. An illustrative example is included to compare our results with those in the literature.

关键词： Bilinear systems Hybrid extended Fourier series Nonlinear algebraic dynamic systems Quadratic systems Optimal control

A Novel Human Interaction Framework Using Quadratic Discriminant Analysis with HMM

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Computers, Materials & Continua 2023年第11期77卷 1557-1573页

作者： Tanvir Fatima Naik Bukht Naif Al Mudawi Saud S.Alotaibi Abdulwahab Alazeb Mohammed Alonazi Aisha Ahmed AlArfaj Ahmad jalal Jaekwang Kim Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Information Systems Department Umm Al-Qura UniversityMakkahSaudi Arabia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Convergence Program for Social Innovation Sungkyunkwan UniversitySuwon03063Korea

Human-human interaction recognition is crucial in computer vision fields like surveillance,human-computer interaction,and social *** enhances systems’ability to interpret and respond to human behavior *** research focuses on recognizing human interaction behaviors using a static image,which is challenging due to the complexity of diverse *** overall purpose of this study is to develop a robust and accurate system for human interaction *** research presents a novel image-based human interaction recognition method using a Hidden Markov Model(HMM).The technique employs hue,saturation,and intensity(HSI)color transformation to enhance colors in video frames,making them more vibrant and visually appealing,especially in low-contrast or washed-out *** filters reduce noise and smooth imperfections followed by silhouette extraction using a statistical *** extraction uses the features from Accelerated Segment Test(FAST),Oriented FAST,and Rotated BRIEF(ORB)*** application of Quadratic Discriminant Analysis(QDA)for feature fusion and discrimination enables high-dimensional data to be effectively analyzed,thus further enhancing the classification *** ensures that the final features loaded into the HMM classifier accurately represent the relevant human *** impressive accuracy rates of 93%and 94.6%achieved in the BIT-Interaction and UT-Interaction datasets respectively,highlight the success and reliability of the proposed *** proposed approach addresses challenges in various domains by focusing on frame improvement,silhouette and feature extraction,feature fusion,and HMM *** enhances data quality,accuracy,adaptability,reliability,and reduction of errors.

关键词： Human interaction recognition HMM classification quadratic discriminant analysis dimensionality reduction

Improvement of the microstructural features and mechanical properties of advanced high-strength steel DP590 welds

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International Journal of Minerals,Metallurgy and Materials 2021年第6期28卷 1022-1029页

作者： Arian Ghandi Morteza Shamanian Mohamad Reza Salmani jalal Kangazian College of Pardis Materials Engineering SectionIsfahan University of TechnologyIsfahan 84156-83111Iran Department of Materials Engineering Isfahan University of TechnologyIsfahan 84156-83111Iran Engineering&Quality of Auto Steel Division SAIPA GroupTehranIran

The effects of the welding current mode in resistance spot welding on the microstructure and mechanical properties of advanced high-strength steel dual-phase 590(DP590)sheets were *** showed that a rough martensitic structure was formed in the weld zone of the sample welded via the single-pulsed mode,whereas the microstructure in the heat-affected zone consisted of a very rough martensitic microstructure and rough ***,using the secondary pulse mode led to the formation of tempered martensite in the weld *** maximum load and the energy absorption to failure of the samples with the secondary pulsed cycle were higher than those of the samples with the single-pulsed *** shear results indicated that the secondary pulsed mode could significantly change the mode of failure upon shear tension ***,the obtained results suggest that the use of secondary pulsed mode can improve the microstructural feature and mechanical properties of advanced high-strength steel DP590 welds.

关键词： advanced high-strength steel resistance spot welding microstructure mechanical properties

Local vs. cross station simulation of suspended sediment load in successive hydrometric stations: heuristic modeling approach

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Journal of Mountain Science 2016年第10期13卷 1773-1788页

作者： Kiyoumars ROUSHANGAR Shabnam HOSSEINZADEH jalal SHIRI Department of Civil Hydraulics Engineering Faulty of Civil Engineering University of Tabriz Department of Water Engineering Faculty of Agriculture University of Tabriz

The present paper aims at modeling suspended sediment load(SSL) using heuristic data driven methodologies, e.g. Gene Expression Programming(GEP) and Support Vector Machine(SVM) in three successive hydrometric stations of Housatonic River in U.S. The simulations were carried out through local and cross-station data management scenarios to investigate the interrelations between the SSL values of upstream/downstream stations. The available scenarios were applied to predict SSL values using GEP to obtain the best models. Then, the best models were predicted by SVM approach and the obtained results were compared with those of GEP. The comparison of the results revealed that the SVM technique is more capable than the GEP for modeling the SSL through the both local and cross-station data management strategies. Besides, local application seems to be better than cross-station application for modeling SSL. Nevertheless, the cross-station application demonstrated to be a valid methodology for simulating SSL, which would be of interest for the stations with lack of observational data. Also, the prediction capability of conventional Sediment Rating Curve(SRC) method was compared with those of GEPand SVM techniques. The obtained results revealed the superiority of GEP and SVM-based models over the traditional SRC technique in the studied stations.

关键词： Suspended sediment load Successive hydrometric stations Gene expression programming Support vector machine

CuO–CeO_2 nanocomposite: A highly efficient recyclable catalyst for the multicomponent synthesis of 4H-benzo[b]pyran derivatives

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Chinese Chemical Letters 2013年第9期24卷 821-824页

作者： jalal Albadi Azam Mansournezhad Zahra Derakhshandeh College of Science Behbahan Khatam Alanbia University of Technology Department of Chemistry Gachsaran Branch Islamic Azad University Department of Chemistry Omidieh Branch Islamic Azad University

CoO-CeO2 is reported as a highly efficient and green recyclable catalyst, for the multicomponent synthesis of 4H-benzo[b]pyran derivatives. The catalyst was synthesized by a co-precipitation method and characterized by XRD, BET specific surface area, ESEM and EDS analysis. This synthetic method provides several advantages such as simple work-up procedures, minimal amount of waste generated, short reaction time, and high yields of products.

关键词： CuO-CeO2 nanocomposite 4H-Benzo[b]pyran 3-Methyl-l-phenyl-2-pyrazoline-5-oneAldehydeMalononitrile

Engineering hierarchical heterostructure material based on metal-organic frameworks and cotton fiber for high-efficient microwave absorber

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Nano Research 2022年第8期15卷 6841-6850页

作者： Yan Guo Hu Liu Dedong Wang Zeinhom M.El-Bahy jalal T.Althakafy Hala M.Abo-Dief Zhanhu Guo Ben Bin Xu Chuntai Liu Changyu Shen Key Laboratory of Materials Processing and Mold(Zhengzhou University) Ministry of EducationNational Engineering Research Center for Advanced Polymer Processing TechnologyZhengzhou UniversityZhengzhou 450002China Department of Chemistry Faculty of ScienceAl-Azhar UniversityNasr City 11884CairoEgypt Department of Chemistry Faculty of Applied ScienceUmm Al-Qura UniversityMecca 21955Saudi Arabia Department of Chemistry College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Integrated Composites Laboratory(ICL) Department of Chemical&Biomolecular EngineeringUniversity of TennesseeKnoxvilleTN 37996USA Department of Mechanical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle upon TyneNE18STUK

Rational construction of hierarchical multi-component materials with abundant heterostructure is evolving as a promising strategy to achieve excellent metal-organic frameworks(MOFs)based electromagnetic wave(EMW)***,hierarchical heterostructure WS_(2)/CoS_(2)@carbonized cotton fiber(CCF)was fabricated using the ZIF-67 MOFs nanosheets anchored cotton fiber(ZIF-67@CF)as a precursor through the tungsten etching,sulfurization,and carbonization *** from the synergetic effect of dielectric-magnetic dual-loss mechanism,the hierarchical heterostructure and multicomponent of WS_(2)/CoS_(2)@CCF also display improved impedance ***,numerous W-S-Co bands and heterojunction interfaces of heterogeneous WS_(2)/CoS_(2)are beneficial to promoting additional interfacial/dipole polarization loss and conductive loss,thereby enhancing the EMW attenuation *** on the percolation theory,a good balance between impedance matching and EMW absorption capacity was achieved for the WS_(2)/CoS_(2)@CCF/paraffin composite with 20 wt.%filler loading,exhibiting strong EMW absorption capability with a minimum reflection loss(RLmin)value of−51.26 dB at 17.36 GHz with 2 mm thickness and a maximum effective absorption bandwidth(EABmax)as wide as 6.72 *** research will provide new guidance for designing high-efficient MOFs derived EMW absorbers.

关键词： hierarchical heterostructure sulfurization metal-organic framework microwave absorber