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| 1 | The role of bone marrow‐derived mesenchymal stem cells in treating formocresol induced oral ulcers in dogs显示文摘 | H.El‐Menoufy L. A. A.Aly M. T. A.Aziz H. M.Atta N. K.Roshdy L. A.Rashed D.Sabry | 2010 | Journal of Oral Pathology & Medicine2010，，4： | 1 |
| 2 | Evolution of surgical treatment for pharyngeal pouch显示文摘 | A.Aly P. G.Devitt G. G.Jamieson | 2004 | Br J Surg2004，，6： | 1 |
| 3 | Industrial Recycling Process of Batteries for EVs显示文摘The growing number of decarbonization standards in the transportation sector has resulted in an increase in demand for electric cars.Renewable energy sources have the ability to bring the fossil fuel age to an end.Electrochemical storage devices,particularly lithium-ion batteries,are critical for this transition’s success.This is owing to a combination of favorable characteristics such as high energy density and minimal self-discharge.Given the environmental degradation caused by hazardous wastes and the scarcity of some resources,recycling used lithium-ion batteries has significant economic and practical importance.Many efforts have been undertaken in recent years to recover cathode materials(such as high-value metals like cobalt,nickel,and lithium).Regrettably,the regeneration of lower-value-added anode materials(mostly graphite)has received little attention.However,given the widespread use of carbon-based materials and the higher concentration of lithium in the anode than in the environment,anode recycling has gotten a lot of attention.As a result,this article provides the most recent research progress in the recovery of graphite anode materials from spent lithium ion batteries,analyzing the strengths and weaknesses of various recovery routes such as direct physical recovery,heat treatment recovery,hydrometallurgy recovery,heat treatment-hydrometallurgy recovery,extraction,and electrochemical methods from the perspectives of energy,environment,and economy;additionally,the reuse of recycled anode mats is discussed.Finally,the problems and future possibilities of anode recycling are discussed.To enable the green recycling of wasted lithium ion batteries,a low energy-consuming and ecologically friendly solution should be investigated. | Abdallah Abdallah Muhamed Dauwed Ayman A.Aly Bassem F.Felemban Imran Khan DagФivind Madsen | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 4 | Theoretical investigation of some parameters into the behavior of quantum dot solar cells显示文摘The main goal of this paper is to determine the accurate values of two parameters namely the surface generation–recombination rate and the average total number of electrons density generated in the i-region. These values will enhance the performance of quantum dot solar cells(QDSCs). In order to determine these values, this paper concentrates on the optical generation lifetime, the recombination lifetime, and the effective density state in QDs. Furthermore, these parameters are studied in relation with the average total number of electrons density. The values of the surface generation–recombination rate are found to be negative, which implies that the generation process is dominant in the absorption quantum dot region. Consequently, induced photocurrent density relation with device parameters is determined. The results ensure that QDSCs can have higher response photocurrent and then improve the power conversion efficiency. Moreover, the peak value of the average total number of electrons density is achieved at the UV range and is extended to the visible range, which is adequate for space and ground solar applications. | A.Nasr A.Aly | 2014 | Journal of Semiconductors2014，35，12： | 0 |
| 5 | An Optimal Method for Supply Chain Logistics Management Based on Neural Network显示文摘From raw material storage through final product distribution,a cold supply chain is a technique in which all activities are managed by temperature.The expansion in the number of imported meat and other comparable commodities,as well as exported seafood has boosted the performance of cold chain logistics service providers.On the basis of the standard basicpursuit(BP)neural network,a rough BP particle swarm optimization(PSO)neural network model is constructed by combining rough set and particle swarm algorithms to aid cold chain food production enterprises in quickly picking the best cold chain logistics service providers.To reduce duplicate information in the original data and make the input index more compact,the model employs rough set.Instead of using gradient descent to train the weights of the neural network,particle swarm optimization is utilized to ensure that the output results are not readily caught in local minima and that the network’s generalization capacity is improved.Finally,an example is presented to demonstrate the model’s validity and viability.The findings reveal that the model’s prediction error is 40.94 percent lower than the BP neural network model,and the prediction result is more accurate and dependable,providing a new technique for cold chain food production companies to swiftly pick the best cold chain logistics service provider. | Abdallah Abdallah Mohammed Dauwed Ayman A.Aly Bassem F.Felemban Imran Khan Bong Jun Choi | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 6 | An Efficient Machine Learning Based Precoding Algorithm for Millimeter-Wave Massive MIMO显示文摘Millimeter wave communication works in the 30–300 GHz frequency range,and can obtain a very high bandwidth,which greatly improves the transmission rate of the communication system and becomes one of the key technologies of fifth-generation(5G).The smaller wavelength of the millimeter wave makes it possible to assemble a large number of antennas in a small aperture.The resulting array gain can compensate for the path loss of the millimeter wave.Utilizing this feature,the millimeter wave massive multiple-input multiple-output(MIMO)system uses a large antenna array at the base station.It enables the transmission of multiple data streams,making the system have a higher data transmission rate.In the millimeter wave massive MIMO system,the precoding technology uses the state information of the channel to adjust the transmission strategy at the transmitting end,and the receiving end performs equalization,so that users can better obtain the antenna multiplexing gain and improve the system capacity.This paper proposes an efficient algorithm based on machine learning(ML)for effective system performance in mmwave massive MIMO systems.The main idea is to optimize the adaptive connection structure to maximize the received signal power of each user and correlate the RF chain and base station antenna.Simulation results show that,the proposed algorithm effectively improved the system performance in terms of spectral efficiency and complexity as compared with existing algorithms. | Waleed Shahjehan Abid Ullah Syed Waqar Shah Ayman A.Aly Bassem F.Felemban Wonjong Noh | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 7 | Design and Implementation of Wheel Chair Control System Using Particle Swarm Algorithm显示文摘About 10–20%of every country’s population is disable.There are at least 650 million people with a kind of disability worldwide.Assistance and support are perquisites for many handicap people for participating in society.Electric powered wheelchairs provide efficient mobility to motor impaired persons.In this paper a smart controller of a wheel chair mobile robot using Particle Swarm Optimization Proportional controller(PSO-P)was proposed where(PSO)algorithm was utilized to tune the proportional controller’s gains for each axis.Aiming to improve wheelchair tracking trajectory,a kinematic model of a robot with linear and angular velocities parameters was developed.The controller performance was examined using the system parameters with respect to trajectory references.A simulation of the proposed controller showed good correlation of the trajectory track under different loading conditions. | G.Mousa Amr Almaddah Ayman A.Aly | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 8 | Modeling and Simulation of Two Axes Gimbal Using Fuzzy Control显示文摘The application of the guided missile seeker is to provide stability to the sensor’s line of sight toward a target by isolating it from the missile motion and vibration.The main objective of this paper is not only to present the physical modeling of two axes gimbal system but also to improve its performance through using fuzzy logic controlling approach.The paper is started by deriving the mathematical model for gimbals motion using Newton’s second law,followed by designing the mechanical parts of model using SOLIDWORKS and converted to xml file to connect dc motors and sensors using MATLAB/SimMechanics.Then,a Mamdani-type fuzzy and a Proportional-Integral-Derivative(PID)controllers were designed using MATLAB software.The performance of both controllers was evaluated and tested for different types of input shapes.The simulation results showed that self-tuning fuzzy controller provides better performance,since no overshoot,small steady-state error and small settling time compared to PID controller. | Ayman A.Aly Mohamed O.Elhabib Bassem F.Felemban B.Saleh Dac-Nhuong Le | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 9 | Multi-dimensional Security Range Query for Industrial IoT显示文摘The Internet of Things(IoT)has allowed for significant advancements in applications not only in the home,business,and environment,but also in factory automation.Industrial Internet of Things(IIoT)brings all of the benefits of the IoT to industrial contexts,allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy.The expansion of the IoT has been set by serious security threats and obstacles,and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control.A privacypreserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy protection.The query matrix was then decomposed using auxiliary vectors,and the auxiliary vectorwas then processed usingBGNhomomorphic encryption to create a query trapdoor.Finally,the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device terminal.With the application of particular auxiliary vectors,the spatial complexity might be efficiently decreased.The homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user’s inquiry mode.The results of the experiments reveal that the computing and communication expenses are modest. | Abdallah Abdallah Ayman A.Aly Bassem F.Felemban Imran Khan Ki-Il Kim | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 10 | An Intelligent Prediction Model for Target Protein Identification in Hepatic Carcinoma Using Novel Graph Theory and ANN Model显示文摘Hepatocellular carcinoma(HCC)is one major cause of cancer-related mortality around the world.However,at advanced stages of HCC,systematic treatment options are currently limited.As a result,new pharmacological targetsmust be discovered regularly,and then tailored medicines against HCC must be developed.In this research,we used biomarkers of HCC to collect the protein interaction network related to HCC.Initially,DC(Degree Centrality)was employed to assess the importance of each protein.Then an improved Graph Coloring algorithm was used to rank the target proteins according to the interaction with the primary target protein after assessing the top ranked proteins related to HCC.Finally,physio-chemical proteins are used to evaluate the outcome of the top ranked proteins.The proposed graph theory and machine learning techniques have been compared with six existing methods.In the proposed approach,16 proteins have been identified as potential therapeutic drug targets for Hepatic Carcinoma.It is observable that the proposed method gives remarkable performance than the existing centrality measures in terms of Accuracy,Precision,Recall,Sensitivity,Specificity and F-measure. | G.Naveen Sundar Stalin Selvaraj D.Narmadha K.Martin Sagayam A.Amir Anton Jone Ayman A.Aly Dac-Nhuong Le | 2022 | Computer Modeling in Engineering & Sciences2022，，10： | 0 |
| 11 | Fast adaptive regression-based model predictive control显示文摘Model predictive control(MPC)is an optimal control method that predicts the future states of the system being controlled and estimates the optimal control inputs that drive the predicted states to the required reference.The computations of the MPC are performed at pre-determined sample instances over a finite time horizon.The number of sample instances and the horizon length determine the performance of the MPC and its computational cost.A long horizon with a large sample count allows the MPC to better estimate the inputs when the states have rapid changes over time,which results in better performance but at the expense of high computational cost.However,this long horizon is not always necessary,especially for slowly-varying states.In this case,a short horizon with less sample count is preferable as the same MPC performance can be obtained but at a fraction of the computational cost.In this paper,we propose an adaptive regression-based MPC that predicts the best minimum horizon length and the sample count from several features extracted from the time-varying changes of the states.The proposed technique builds a synthetic dataset using the system model and utilizes the dataset to train a support vector regressor that performs the prediction.The proposed technique is experimentally compared with several state-of-the-art techniques on both linear and non-linear models.The proposed technique shows a superior reduction in computational time with a reduction of about 35–65%compared with the other techniques without introducing a noticeable loss in performance. | Eslam Mostafa Hussein A.Aly Ahmed Elliethy | 2023 | Control Theory and Technology2023，21，4： | 0 |
| 12 | Design of a Low-Cost Air Quality Monitoring System Using Arduino and ThingSpeak显示文摘The impact of daily emissions of gaseous and particulate pollutants of machines and industries on human health and the environment has attracted increasing concerns.This impact has significantly led to a notable increase in mortality in the highly industrialized zones.Therefore,monitoring air quality and creating public awareness are important for a safer future,which led the governments globally to investmulti-billion in policymaking and solution stratification to address the problem.This study aims to design a realtime Internet of Things low-cost air quality monitoring system.The system utilizes air quality and carbon monoxide sensors for monitoring gaseous pollutants.Moreover,the system utilizes an Arduino Nano development board equipped with a WiFi module to effectively send readings to a ThingSpeak online channel platformfor instantaneous and real-time display of air quality.The ThingSpeak uses HTTP protocols to send emails in raising awareness of poor air quality.The level of concentration is monitored graphically through channels with the help of ThingSpeak to aid remote communication.Athreshold value is set.Thus,when pollutants have become unhealthy and harmful,the system trips off an alarm,and e-mail notifications are sent to the officials.The results have shown that the work was successfully implemented a design of a low-cost air quality monitoring system using Arduino and ThingSpeak,showing that an air quality system can be implemented using a low-cost technology,Arduino and ThingSpeak. | Anabi Hilary Kelechi Mohammed H.Alsharif Chidumebi Agbaetuo Osichinaka UbadikeAlex Aligbe Peerapong Uthansakul Raju Kannadasan Ayman A.Aly | 2022 | Computers, Materials & Continua2022，，1： | 0 |
| 13 | The Impact of Hydrogen Energy Storage on the Electricity Harvesting显示文摘The economics,infrastructure,transportation,and level of living of a country are all influenced by energy.The gap between energy usage and availabil-ity is a global issue.Currently,all countries rely on fossil fuels for energy genera-tion,and these fossil fuels are not sustainable.The hydrogen proton exchange membrane fuel cell(PEMFC)power system is both clean and efficient.The fuel delivery system and the PEMFC make up the majority of the PEMFC power sys-tem.The lack of an efficient,safe,and cost-effective hydrogen storage system is still a major barrier to its widespread use.Solid hydrogen storage has the large capacity,safety and good reversibility.As a hydrogen source system,the hydro-gen supply characteristics affect the characteristics of the PEMFC at the output.In this paper,a mathematical model of a hydrogen source reactor and PEMFC based on chemical absorption/desorption of solid hydrogen storage is established,and a simulation model of a PEMFC power system coupled with solid hydrogen storage is established using MATLAB/SIMULINK software,and the hydrogen supply of the reactor is analyzed in detail.The influence of prominent factors is evaluated.The research results show that the proposed method improved the system perfor-mance.At the same time,increasing the PEMFC temperature,increasing the area of the proton exchange membrane and the oxygen supply pressure can increase the output power of the power system. | Ghassan Mousa Ayman A.Aly Imran Khan DagØivind Madsen | 2023 | Intelligent Automation & Soft Computing2023，，5： | 0 |
| 14 | Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission显示文摘The Internet subscribers are expected to increase up to 69.7%(6 billion)from 45.3%and 25 billion Internet-of-things connections by 2025.Thus,the ubiquitous availability of data-hungry smart multimedia devices urges research attention to reduce the energy consumption in the fifthgeneration cloud radio access network to meet the future traffic demand of high data rates.We propose a new cell zooming paradigm based on joint transmission(JT)coordinated multipoint to optimize user connection by controlling the cell coverage in the downlink communications with a hybrid power supply.The endeavoring cell zooming technique adjusts the coverage area in a given cluster based on five different JT schemes,which will help in reducing the overall power consumption with minimum inter-cell interference.We provide heuristic solutions to assess wireless network performances in terms of aggregate throughput,energy efficiency index(EEI),and energy consumption gain under a different scale of network settings.The suggested algorithm allows efficient allocation of resource block and increases energy and spectral efficiency over the conventional location-centric cell zooming mechanism.Extensive system-level simulations show that the proposed framework reduces energy consumption yielding up to 17.5%and increases EEI by 14%.Subsequently,a thorough comparison among different JT-based load shifting schemes is pledged for further validation of varying system bandwidths. | Abu Jahid Mohammed H.Alsharif Raju Kannadasan Mahmoud A.Albreem Peerapong Uthansakul Jamel Nebhen Ayman A.Aly | 2021 | Computers, Materials & Continua2021，，10： | 0 |
| 15 | Power Domain Multiplexing Waveform for 5G Wireless Networks显示文摘Power domain non-orthogonal multiple access combined with a universal filtered multi-carrier(NOMA-UFMC)has the potential to cope with fifth generation(5G)unprecedented challenges.NOMA employs powerdomainmultiplexing to support several users,whereasUFMC is robust to timing and frequency misalignments.Unfortunately,NOMA-UFMC waveform has a high peak-to-average power(PAPR)issue that creates a negative affect due to multicarrier modulations,rendering it is inefficient for the impending 5G mobile and wireless networks.Therefore,this article seeks to presents a discrete Hartley transform(DHT)pre-coding-based NOMA enabled universal filter multicarrier(UFMC)(DHT-NOMA-UFMC)waveform design for lowering the high PAPR.Additionally,DHT precoding also takes frequency advantage variations in the multipath wireless channel to get significant bit error rate(BER)gain.In the recommended arrangement,the throughput of the systemis improved by multiplexing the users in the power domain and permitting the users with good and bad channel conditions to concurrently access the apportioned resources.The simulation outcomes divulge that the projected algorithm accomplished a gain of 5.8 dB as related to the conventional framework.Hence,it is established that the proposed DHT-NOMA-UFMC outperforms the existing NOMA-UFMC waveform.The key benefit of the proposed method over the other waveforms proposed for 5G is content gain due to the power domain multiplexing at the transmitting side.Thus,a huge count of mobile devices could be supported under specific restrictions.DHTNOMA-UFMC can be regarded as the most effective applications for 5G Mobile andWireless Networks.However,the main drawback of the proposed method is that the Fourier peak and phase signal is not easily estimated. | Korhan Cengiz Imran Baig Sumit Chakravarty Arun Kumar Mahmoud A.Albreem Mohammed H.Alsharif Peerapong Uthansakul Jamel Nebhen Ayman A.Aly | 2022 | Computers, Materials & Continua2022，，1： | 0 |
| 16 | Design and Implementation of a Low-Cost Portable Water Quality Monitoring System显示文摘Water is one of the needs with remarkable significance to man and other living things.Water quality management is a concept based on the continuous monitoring of water quality.The monitoring scheme aims to accumulate data to make decisions on water resource descriptions,identify real and emergent issues involving water pollution,formulate priorities,and plan for water quality management.The regularly considered parameters when conducting water quality monitoring are turbidity,pH,temperature,conductivity,dissolved oxygen,chemical oxygen demand,biochemical oxygen demand,ammonia,and metal ions.The usual method employed in capturing these water parameters is the manual collection and sending of samples to a laboratory for detection and analysis.However,this method is impractical in the long run because it is laborious and consumes a considerable amount of human resources.Sensors integrated into a mobile phone application interface can address this issue.This paper aims to design and implement an Internet of Things-based system comprising pH,temperature,and turbidity sensors,which are all integrated into a mobile phone application interface for a water monitoring system.This project utilizes the Bluetooth Standard(IEEE 802.15.1)for communication/transfer of data,while the water quality monitoring system relies on the pH,turbidity,and temperature of the test water. | Anabi Hilary Kelechi Mohammed H.Alsharif Anya Chukwudi-eke Anya Mathias U.Bonet Samson Aiyudubie Uyi Peerapong Uthansakul Jamel Nebhen Ayman A.Aly | 2021 | Computers, Materials & Continua2021，，11： | 0 |
| 17 | Powering Mobile Networks with Optimal Green Energy for Sustainable Development显示文摘Green wireless networking is an emerging area for many societies,especially academia and industry,in light of economic and ecological perspectives.Empowering wireless infrastructures exploiting green power sources can enhance sustainability due to the adverse effects of conventional power sources and atmospheric circumstances.Moreover,the specific power supply requirements for a base station(BS),such as cost effectiveness,efficiency,sustainability,and reliability,can be met by utilizing technological advances in renewable energy.Numerous drivers and motivators are involved in the deployment of renewable energy technologies and the transition toward green energy.Renewable energy is free,clean,and abundant in most locations throughout the year.In this work,a sustainable optimal stand-alone solarpowered model envisioning green cellular BSs for urban locations in Oman is proposed.This model can extend 24 h uninterrupted power supply support to a cellular BS that fully utilizes an integrated storage device.The system analysis is conducted using a hybrid optimization model for electric renewables(HOMER)based on actual prevailing conditions of the regions and their technical feasibility.The results showed can be achieved operational expenditure savings up to 16%.These outcomes provide a huge benefit to the cellular operators of Oman economically,technically,and ecologically. | Mohammed H.Alsharif Mahmoud A.Albreem Abu Jahid Kannadasan Raju Peerapong Uthansakul Jamel Nebhen Venkatesan Chandrasekaran Ayman A.Aly | 2021 | Computers, Materials & Continua2021，，10： | 0 |
| 18 | Vibration Performance, Stability and Energy Transfer of Wind Turbine Tower via Pd Controller显示文摘In this paper,we studied the vibration performance,energy transfer and stability of the offshore wind turbine tower system under mixed excitations.The method of multiple scales is utilized to calculate the approximate solutions of wind turbine system.The proportional-derivative controller was applied for reducing the oscillations of the controlled system.Adding the controller to single degree of freedom system equation is responsible for energy transfers in offshore wind turbine tower system.The steady state solution of stability at worst resonance cases is studied and examined.The offshore wind turbine system behavior was studied numerically at its different parameters values.Furthermore,the response and numerical results were obtained and discussed.The stability is also analyzed using technique of phase plane and equations of frequency response.In addition,the numerical results and comparison between analytical and numerical solutions were obtained with MAPLE and MATLAB algorithms. | Y.S.Hamed Ayman A.Aly B.Saleh Ageel F.Alogla Awad M.Aljuaid Mosleh M.Alharthi | 2020 | Computers, Materials & Continua2020，，8： | 0 |
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