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Embedded System Based Raspberry Pi 4 for Text Detection and Recognition

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Intelligent Automation & Soft Computing 2023年第6期36卷 3343-3354页

作者： turki M.Alanazi Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia

Detecting and recognizing text from natural scene images presents a challenge because the image quality depends on the conditions in which the image is captured,such as viewing angles,blurring,sensor noise,***,in this paper,a prototype for text detection and recognition from natural scene images is *** prototype is based on the Raspberry Pi 4 and the Universal Serial Bus(USB)camera and embedded our text detection and recognition model,which was developed using the Python *** model is based on the deep learning text detector model through the Efficient and Accurate Scene Text Detec-tor(EAST)model for text localization and detection and the Tesseract-OCR,which is used as an Optical Character Recognition(OCR)engine for text *** prototype is controlled by the Virtual Network Computing(VNC)tool through a computer via a wireless *** experiment results show that the recognition rate for the captured image through the camera by our prototype can reach 99.75%with low computational ***,our proto-type is more performant than the Tesseract software in terms of the recognition ***,it provides the same performance in terms of the recognition rate with a huge decrease in the execution time by an average of 89%compared to the EasyOCR software on the Raspberry Pi 4 board.

关键词： Text detection text recognition OCR engine natural scene images Raspberry Pi USB camera

Unified FPGA Design for the HEVC Dequantization and Inverse Transform Modules

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Computers, Materials & Continua 2022年第6期71卷 4319-4335页

作者： turki M.Alanazi Ahmed Ben Atitallah Department of Electrical Engineering Jouf UniversitySakakaAljouf2014Saudi Arabia

As the newest standard,the High Efficiency Video Coding(HEVC)is specially designed to minimize the bitrate for video data transfer and to support High Definition(HD)and ULTRA HD video resolutions at the cost of increasing computational complexity relative to earlier standards like the ***,real-time video decoding with HEVC decoder becomes a challenging ***,the Dequantization and Inverse Transform(DE/IT)are one of the computationally intensive modules in the HEVC decoder which are used to reconstruct the residual ***,in this paper,a unified hardware architecture is proposed to implement the HEVC DE/IT module for all Transform Unit(TU)block size,including 4×4,8×8,16×16 and 32×*** architecture is designed using the High-Level Synthesis(HLS)and the Low-Level Synthesis(LLS)methods in order to compare and determine the best method to implement in real-time the DE/IT *** fact,the C/C++programming language is used to generate an optimized hardware design for DE/IT module through the Xilinx Vivado HLS *** the other hand,the LLS hardware architecture is designed by the VHSIC Hardware Description language(VHDL)and using the pipeline technique to decrease the processing *** experimental results on the Xilinx XC7Z020 FPGA show that the LLS design increases the throughput in term of frame rate by 80%relative to HLS design with a 4.4%increase in the number of Look-Up Tables(LUTs).Compared with existing related works in literature,the proposed architectures demonstrate significant advantages in hardware cost and performance improvement.

关键词： HEVC decoder dequantization IDCT/IDST LLS design HLS design FPGA

Internet of Things Enabled DDoS Attack Detection Using Pigeon Inspired Optimization Algorithm with Deep Learning Approach

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Computers, Materials & Continua 2024年第9期80卷 4047-4064页

作者： turki Ali Alghamdi Saud S.Alotaibi Department of Computer Science and Artificial Intelligence College of ComputingUmm Al-Qura UniversityMakkah21955Saudi Arabia

Internet of Things(IoTs)provides better solutions in various fields,namely healthcare,smart transportation,home,*** Denial of Service(DoS)outbreaks in IoT platforms is significant in certifying the accessibility and integrity of IoT *** learning(DL)models outperform in detecting complex,non-linear relationships,allowing them to effectually severe slight deviations fromnormal IoT activities that may designate a DoS *** uninterrupted observation and real-time detection actions of DL participate in accurate and rapid detection,permitting proactive reduction events to be executed,hence securing the IoT network’s safety and ***,this study presents pigeon-inspired optimization with a DL-based attack detection and classification(PIODL-ADC)approach in an IoT *** PIODL-ADC approach implements a hyperparameter-tuned DL method for Distributed Denial-of-Service(DDoS)attack detection in an IoT ***,the PIODL-ADC model utilizes Z-score normalization to scale input data into a *** handling the convolutional and adaptive behaviors of IoT,the PIODL-ADCmodel employs the pigeon-inspired optimization(PIO)method for feature selection to detect the related features,considerably enhancing the recognition’s ***,the Elman Recurrent Neural Network(ERNN)model is utilized to recognize and classify DDoS ***,reptile search algorithm(RSA)based hyperparameter tuning is employed to improve the precision and robustness of the ERNN method.A series of investigational validations is made to ensure the accomplishment of the PIODL-ADC *** experimental outcome exhibited that the PIODL-ADC method shows greater accomplishment when related to existing models,with a maximum accuracy of 99.81%.

关键词： Internet of things denial of service deep learning reptile search algorithm feature selection

An Optimized SW/HW AVMF Design Based on High-Level Synthesis Flow for Color Images

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Computers, Materials & Continua 2021年第9期68卷 2925-2943页

作者： turki MAlanazi Ahmed Ben Atitallah Imen Abid Department of Electrical Engineering Jouf UniversitySakakaAljoufSaudi Arabia LETI(E.N.I.S.) University of SfaxSfaxTunisia

In this paper,a software/hardware High-level Synthesis(HLS)design is proposed to compute the Adaptive Vector Median Filter(AVMF)in *** fact,this filter is known by its excellent impulsive noise suppression and chromaticity *** software(SW)study of this filter demonstrates that its implementation is too *** purpose of this work is to study the impact of using an HLS tool to design ideal floating-point and optimized fixed-point hardware(HW)architectures for the AVMF filter using square root function(ideal HW)and ROM memory(optimized HW),respectively,to select the best HLS architectures and to design an efficient HLS software/hardware(SW/HW)embedded AVMF design to achieve a trade-off between the processing time,power consumption and hardware *** that purpose,some approximations using ROM memory were proposed to perform the square root and develop a fixed-point AVMF *** that,the best solution generated for each HLS design was integrated in the SW/HW environment and evaluated under ZC702 FPGA *** experimental results showed a reduction of about 65%and 98%in both the power consumption and processing time for the ideal SW/HW implementation relative to the ideal SW implementation for an AVMF filter with the same image quality,***,the power consumption and processing time of the optimized SW/HW are 70%and 97%less than the optimized SW implementation,*** addition,the Look Up Table(LUTs)percentage,power consumption and processing time used by the optimized SW/HW design are improved by nearly 45%,18%and 61%compared the ideal SW/HW design,respectively,with slight decrease in the image quality.

关键词： AVMF filter SW/HW design HLS flow ZC702 FPGA platform

Application of Response Surface Methodology for Optimization of Cadmium Ion Removal from an Aqueous Solution by Eggshell Powder

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Chemical Research in Chinese Universities 2018年第2期34卷 302-310页

作者： SABAH Hajji THOURAYa.turki MELEK Hajji NADIA Mzoughi Natural Water Treatment Laboratory Water Researches and Technologies Centre of Borj Cedria(CERTE) Technopark of Borj Cedria Soliman 8020 Tunisia Faculty of Science of Bizerte University of Carthage Jarzouna-Bizerte 7000 Tunisia Research Unit: Electrochemistry Materials and Environment Preparatory Institute forEngineering Studies of Kairouan University of Kairouan Kairouan 3100 Tunisia High Institute of Environmental Sciences and Technologies of Borj Cedria Environmental Sciences and Technologies Laboratory University of Carthage Hammam Lif 2050 Tunisia

The removal of cadmium（Cd） from synthetic solutions by batch adsorption process was performed using eggshell powder, which is mainly composed of calcite（CaCO3）. In order to optimize the adsorption process, a re- sponse surface methodology（RSM） based on Central Composite Design（CCD） was applied. Developed model for Cd removal yields（R, %） response was statistically validated by variance analysis（ANOVA） which showed a high de- termination coefficient value（R2=0.9889）. According to Minitab software, the optimal conditions were found at tem- perature of 44℃, eggshell adsorbent dose of 2.98 g, initial Cd concentration of 36.74 mg/L and initial pH of 7. Under these conditions, the Cd removal yield was 98.76%. The deviation value of 1.24% confirms the validity of the model for the adsorption process optimization. The adsorption isotherm has been described by a Freundlich model. In addition, the predominant sorption mechanisms are the chemisorptions or precipitation（non-reversible） and ion ex- change（reversible）.

关键词： Response surface methodology Cadmium Eggshell Sorption Desorpfion Freundlich model

Deadlock-free Supervisor Design for Robotic Manufacturing Cells With Uncontrollable and Unobservable Events

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IEEE/CAA Journal of Automatica Sinica 2021年第3期8卷 597-605页

作者： Bo Huang MengChu Zhou Cong Wang Abdullah Abusorrah Yusuf Al-turki School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA the Center of Research Excellence in Renewable Energy and Power Systems and the Department of Electrical and Computer Engineering King Abdulaziz UniversityJeddah 21589Saudi Arabia

In this paper,a deadlock prevention policy for robotic manufacturing cells with uncontrollable and unobservable events is proposed based on a Petri net ***,a Petri net for the deadlock control of such systems is *** admissible markings and first-met inadmissible markings(FIMs)are ***,place invariants are designed via an integer linear program(ILP)to survive all admissible markings and prohibit all FIMs,keeping the underlying system from reaching deadlocks,livelocks,bad markings,and the markings that may evolve into them by firing uncontrollable *** also ensures that the obtained deadlock-free supervisor does not observe any unobservable *** addition,the supervisor is guaranteed to be admissible and structurally minimal in terms of both control places and added *** condition under which the supervisor is maximally permissive in behavior is ***,experimental results with the proposed method and existing ones are given to show its effectiveness.

关键词： Deadlock prevention Petri nets robotic manufacturing cells structure-minimized supervisor supervisory control uncontrollability unobservability

Hu Shih,China's Sophists,and the Development of Logic in China's Rhetorical Culture

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国际修辞学研究

国际修辞学研究 2012年 240-258页

作者： rya.Butterfield Louisiana State University

Hu Shih is important as both a historical and a philosophical *** is most often referenced for the historical role he played as an advocate of the vernacular language and a leader in the early 20th century reform movement known as the Chinese *** he is important for the theoretical contributions he made to the development of logic in China’s rhetorical *** took a genealogical approach to the study of China’s intellectual legacy and found a lineage of Sophism in ancient China,similar in ways to that of ancient *** essay discusses Hu’s goal to further develop the spirit of doubt,long present in Chinese intellectualism,into a spirit of modern sophistry and the rhetorical contributions Hu attributes to two particular schools of thought,the Mingjia and the Neo-Mohists.

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Energy exchange between charged relativistic fluids in f(T)gravity

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Communications in Theoretical Physics 2024年第10期76卷 106-118页

作者： Z Yousaf U A Khokhar Nasser Bin turki T Suzuki Department of Mathematics University of the PunjabQuaid-i-Azam CampusLahore-54590Pakistan Department of Mathematics College of ScienceKing Saud UniversityPO Box 2455Riyadh11451Saudi Arabia Department of Regional Management Faculty of ManagementFukushima CollegeFukushima 960-0181Japan

This study focuses on the effects of a polytropic fluid on a charged gravitational source within f(T)gravity,where T is the torsion *** investigate how the electromagnetic field affects the flow of energy in spherically symmetric and static celestial objects that contain relativistic *** using the gravitational decoupling technique,we analyze the effects of polytropic fluid on the dynamics of the gravitational source,accompanied by the matching of the interior geometry with an exterior at the hypersurfaceΣ.Finally,with the help of the TolmanⅡV solution,we observe the conduct of energy conditions with the existence of charge using f(T)field equations and got the intended outcomes.

关键词： complexity hydrodynamics anisotropy self-gravitating systems energy exchange

A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data

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IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2220-2235页

作者： Jiufang Chen Kechen Liu Xin Luo Ye Yuan Khaled Sedraoui Yusuf Al-turki MengChu Zhou IEEE the College of Computer Science and Technology Chongqing University of Posts and Telecommunications the Department of Computer Science Columbia University the College of Computer and Information Science Southwest University the Department of Electrical and Computer Engineering Faculty of Engineeringand also with K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University the Center of Research Excellence in Renewable Energy and Power Systems the Department of Electrical and Computer EngineeringFaculty of Engineeringand also with K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University the Department of Electrical and Computer Engineering New Jersey Institute of Technology

High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation learning to an HDI matrix,whose hyper-parameter adaptation can be implemented through a particle swarm optimizer(PSO) to meet scalable ***, conventional PSO is limited by its premature issues,which leads to the accuracy loss of a resultant LFA model. To address this thorny issue, this study merges the information of each particle's state migration into its evolution process following the principle of a generalized momentum method for improving its search ability, thereby building a state-migration particle swarm optimizer(SPSO), whose theoretical convergence is rigorously proved in this study. It is then incorporated into an LFA model for implementing efficient hyper-parameter adaptation without accuracy loss. Experiments on six HDI matrices indicate that an SPSO-incorporated LFA model outperforms state-of-the-art LFA models in terms of prediction accuracy for missing data of an HDI matrix with competitive computational ***, SPSO's use ensures efficient and reliable hyper-parameter adaptation in an LFA model, thus ensuring practicality and accurate representation learning for HDI matrices.

关键词： Data science generalized momentum high-dimensional and incomplete(HDI)data hyper-parameter adaptation latent factor analysis(LFA) particle swarm optimization(PSO)