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Studies on the effects of pre-firing and sintering temperature on NSDC nanocomposite electrolytes

Progress in Natural Science:Materials International 2022年第1期32卷 128-134页

作者： Saddam hussain Yangping Li fida hussain memon Sabir hussain Lei Li Khalid hussain Thebo State Key Laboratory of Solidification Processing School of Materials Science and Engineering Northwestern Polytechnical University Department of Electrical Engineering Sukkur IBA University Department of Space Science University of the Punjab University of Chinese Academy of Sciences

Solid oxide fuel cells（SOFCs） technology, with fuel flexibility, is one of the most promising power generation technology. However, the high operating temperature of SOFCs has hindered their commercial applications. As a crucial requirement to enhance its performance, SOFCs electrolytes should operate at a low temperature. Carbonate/ceria composites are developed as electrolytes for low operating temperature SOFCs, and a better understanding of the mechanism of its ionic conductivity serves this purpose. In this work, ceria-carbonate composite electrolyte, Na;CO;/samarium doped ceria（NSDC） were synthesized by the co-precipitation *** synthesized electrolytes were characterized by X-ray diffraction（XRD）, scanning electron microscopy（SEM）,X-ray photoelectron spectroscopy（XPS）, and UV–Vis spectroscopy. The XRD and SEM results showed that the sintered NSDC nanocomposite comprised a single-phase dense electrolyte structure. The crystallite size of the NSDC nanocomposite was greatly affected by the different pre-firing temperatures and different sintering temperatures. Also, the ionic conductivity of the prepared NSDC nanocomposite electrolytes was strongly dependent on the pre-firing and sintering temperatures. The NSDC nanocomposite electrolytes were pre-fired at 950°C and650°C and sintered at 1200°C and 900°C respectively, had ionic conductivity in H;and air high as 0.36 S/cm and 0.3 S/cm.

关键词： Solid oxide fuel cell NDSC Composite Electrolyte Ionic conductivity

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Machine learning-enabled MIMO-FBMC communication channel parameter estimation in IIoT: A distributed CS approach

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Digital Communications and Networks 2023年第2期9卷 306-312页

作者： Han Wang fida hussain memon Xianpeng Wang Xingwang Li Ning Zhao Kapal Dev College of Physical Science&Engineering Yichun UniversityYichun336000China State Key Laboratoty of Marine Resource Utilization in South China Sea Hainan UniversityHaikou570228China Faculty of Data Science City University of MacaoMacao999078China Physics and Electronic Information Engineering Henan Polytechnic UniversityJiaozuo454000China Department of Mechatronics AMM Lab Jeju National UniversitySouth Korea Department of Electrical Engineering Sukkur IBA UniversityPakistan Department of Institute of Intellligent Systems University of JohannesburgSouth Africa

Compressed Sensing(CS)is a Machine Learning(ML)method,which can be regarded as a single-layer unsupervised learning *** mainly emphasizes the sparsity of the *** this paper,we study an ML-based CS Channel Estimation(CE)method for wireless communications,which plays an important role in Industrial Internet of Things(IIoT)*** the sparse correlation between channels in Multiple Input Multiple Output Filter Bank MultiCarrier with Offset Quadrature Amplitude Modulation(MIMO-FBMC/OQAM)systems,a Distributed Compressed Sensing(DCS)-based CE approach is studied.A distributed sparse adaptive weak selection threshold method is proposed for ***,the correlation between MIMO channels is utilized to represent a joint sparse model,and CE is transformed into a joint sparse signal reconstruction ***,the number of correlation atoms for inner product operation is optimized by weak selection threshold,and sparse signal reconstruction is realized by sparse *** experiment results show that the proposed DCS-based method not only estimates the multipath channel components accurately but also achieves higher CE performance than classical Orthogonal Matching Pursuit(OMP)method and other traditional DCS methods in the time-frequency dual selective channels.

关键词： IIoT Machine learning Distributed compressed sensing MIMO-FBMC Channel estimation

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Bioinspired Multi-material Polyjet-printed Frog Robot for Synchronous and Asynchronous Swimming

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Journal of Bionic Engineering 2023年第3期20卷 923-933页

作者： Afaque Manzoor Soomro Jae-Wook Lee fida hussain memon Faheem Ahmed Kashif hussain Kyung Hyun Choi Department of Mechatronics Engineering Jeju National UniversityJeju63243South Korea Department of Electrical Engineering Sukkur IBA UniversitySukkur65200Pakistan

This paper proposes the bioinspired soft frog robot. All printing technology was used for the fabrication of the robot. Polyjet printing was used to print the front and back limbs, while ultrathin filament was used to print the body of the robot, which makes it a complete soft swimming robot. Dual thrust generation approach has been proposed by embedding the main muscle and antagonistic muscle in all the limbs, which enables it to attain high speed (18 mm/s), significant control to swim in dual mode (synchronous and asynchronous modes). To achieve the swimming motion of frog, four SMA (BMF 300) muscle wires were used. The frog robot is named as (FROBOT). The hind limbs are 60 mm long and 10 mm thick on average, while the front limbs are 35 mm long and 7 mm thick. Model-based design and rigorous analysis of the dynamics of real frogs have allowed FROBOT to be developed to swim at a level that is remarkably consistent with real frogs. Electrical and mechanical characteristics have been performed. In addition, the test data were further processed using TRACKER to analyze angle, displacement and velocity. FROBOT (weighs 65 g) can swim at different controllable frequencies (0.5–2 Hz), can rotate in any direction on command from custom built LabVIEW software allowing it to swim with speed up to 18 mm/s on deep water surface (100 cm) with excellent weight balance.

关键词： Bioinspired Soft robotics Frog FROBOT Asynchronous swimming

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Leveraging UAV-assisted communications to improve secrecy for URLLC in 6G systems

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Digital Communications and Networks 2023年第6期9卷 1458-1464页

作者： Hemant Kumar Narsani Ali Ranjha Kapal Dev fida hussain memon Nawab Muhammad Faseeh Qureshi Faculty of Engineering and Technology University of SindhPakistan Department of Electrical Engineering Ecole de Technologie Superieure Montreal QCCanada Department of Institute of Intelligent Systems University of JohannesburgSouth Africa Department of Electrical Engineering Sukkur IBA UniversityPakistan Department of Computer Education Sungkyunkwan UniversitySeoulRepublic of Korea

Unmanned Aerial Vehicles(UAVs)will be essential to support mission-critical applications of Ultra Reliable Low Latency Communication(URLLC)in futuristic Sixth-Generation(6G)***,several security vulnerabilities and attacks have plagued previous generations of communication systems;thus,physical layer security,especially against eavesdroppers,is vital,especially for upcoming 6G *** this regard,UAVs have appeared as a winning candidate to mitigate security *** this paper,we leverage UAVs to propose two *** first method utilizes a UAV as Decode-and-Forward(DF)relay,whereas the second method utilizes a UAV as a jammer to mitigate eavesdropping attacks for URLLC between transmitter and receiver ***,we present a low-complexity algorithm that outlines the two aforementioned methods of mitigating interception,*** secrecy rate,and we compare them with the benchmark null method in which there is a direct communication link between transmitter and receiver without the UAV DF ***,simulation results show the effectiveness of such methods by improving the secrecy rate and its dependency on UAV height,blocklength,decoding error probability and transmitter-receiver separation ***,we recommend the best method to enhance the secrecy rate in the presence of an eavesdropper based on our simulations.

关键词： URLLC UAV-Assisted communications 6G systems Secrecy rate

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Support Vector Machine Based Handwritten Hindi Character Recognition and Summarization

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Computer Systems Science & Engineering 2022年第10期43卷 397-412页

作者： Sunil Dhankhar Mukesh Kumar Gupta fida hussain memon Surbhi Bhatia Pankaj Dadheech Arwa Mashat Department of Computer Science&Engineering Swami Keshvanand Institute of TechnologyManagement&GramothanJaipurRajasthan302017India Department of Electrical Engineering Sukkur IBA UniversityPakistan Department of Mechatronics Engineering Jeju National UniversityJeju63243Korea Department of Information Systems College of Computer Science and Information TechnologyKing Faisal UniversitySaudi Arabia Faculty of Computing&Information Technology King Abdulaziz UniversityRabigh21911Saudi Arabia

In today’s digital era,the text may be in form of *** research aims to deal with the problem by recognizing such text and utilizing the support vector machine(SVM).A lot of work has been done on the English language for handwritten character recognition but very less work on the under-resourced Hindi language.A method is developed for identifying Hindi language characters that use morphology,edge detection,histograms of oriented gradients(HOG),and SVM classes for summary *** rank employs the summary to extract essential phrases based on paragraph position,phrase position,numerical data,inverted comma,sentence length,and keywords *** primary goal of the SVM optimization function is to reduce the number of features by eliminating unnecessary and redundant *** second goal is to maintain or improve the classification system’s *** experiment included news articles from various genres,such as Bollywood,politics,and *** proposed method’s accuracy for Hindi character recognition is 96.97%,which is good compared with baseline approaches,and system-generated summaries are compared to human *** evaluated results show a precision of 72%at a compression ratio of 50%and a precision of 60%at a compression ratio of 25%,in comparison to state-of-the-art methods,this is a decent result.

关键词： Support vector machine(SVM) optimization precision Hindi character recognition optical character recognition(OCR) automatic summarization and compression ratio

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Ambient BackCom in beyond 5G NOMA networks: A multi-cell resource allocation framework

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Digital Communications and Networks 2022年第6期8卷 1005-1013页

作者： Wali Ullah Khan fida hussain memon Kapal Dev Muhammad Awais Javed Dinh-Thuan Do Nawab Muhammad Faseeh Qureshi Interdisciplinary Centre for Security Reliability and Trust(SnT)University of Luxembourg1855 Luxembourg CityLuxembourg Department of Electrical Engineering Sukkur IBA University Pakistan Department of Institute of Intelligent Systems University of JohannesburgSouth Africa Department of Electrical and Computer Engineering COMSATS University Islamabad44000IslamabadPakistan Electrical Engineering Department University of Colorado DenverDenverCO80204USA Department of Computer Education Sungkyunkwan UniversitySeoulSouth Korea

The research of Non-Orthogonal Multiple Access (NOMA) is extensively used to improve the capacity of networks beyond the fifth-generation. The recent merger of NOMA with ambient Backscatter Communication (BackCom), though opening new possibilities for massive connectivity, poses several challenges in dense wireless networks. One such challenge is the performance degradation of ambient BackCom in multi-cell NOMA networks under the effect of inter-cell interference. Driven by providing an efficient solution to the issue, this article proposes a new resource allocation framework that uses a duality theory approach. Specifically, the sum rate of the multi-cell network with backscatter tags and NOMA user equipment is maximized by formulating a joint optimization problem. To find the efficient base station transmit power and backscatter reflection coefficient in each cell, the original problem is first divided into two subproblems, and then the closed form solution is derived. A comparison with the Orthogonal Multiple Access (OMA) ambient BackCom and pure NOMA transmission has been provided. Simulation results of the proposed NOMA ambient BackCom indicate a significant improvement over the OMA ambient BackCom and pure NOMA in terms of sum-rate gains.

关键词： Beyond fifth-generation Non-orthogonal multiple access Ambient BackCom Spectrum efficiency optimization

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Multi-material Bio-inspired Soft Octopus Robot for Underwater Synchronous Swimming

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Journal of Bionic Engineering 2022年第5期19卷 1229-1241页

作者： Faheem Ahmed Muhammad Waqas Bushra Shaikh Umair Khan Afaque Manzoor Soomro Suresh Kumar Hina Ashraf fida hussain memon Kyung Hyun Choi Department of Mechatronics Engineering Jeju National UniversityJeju 63243South Korea Department of Electrical Engineering Sukkur IBA UniversityAirport RoadSukkur 65200SindhPakistan Advanced Micro Mechatronics and Energy Lab Sukkur IBA UniversitySukkur 65200Pakistan Department of Ocean Sciences Jeju National UniversityJeju 63243South Korea

Inspired by the simple yet amazing morphology of the Octopus, we propose the design, fabrication, and characterization of multi-material bio-inspired soft Octopus robot (Octobot). 3D printed molds for tentacles and head were used. The tentacles of the Octobot were casted using Ecoflex-0030 while head was fabricated using relatively flexible material, i.e., OOMOO-25. The head is attached to the functionally responsive tentacles (each tentacle is of 79.12 mm length and 7 void space diameter), whereas Shape Memory Alloy (SMA) muscle wires of 0.5 mm thickness are used in Octobot tentacles for dual thrust generation and actuation of Octobot. The tentacles were separated in two groups and were synchronously actuated. Each tentacle of the developed Octobot contains a pair of SMA muscles (SMA-α and SMA-β). SMA-α muscles being the main actuator, was powered by 9 V, 350 mA power supply, whereas SMA-β was used to provide back thrust and thus helps to increase the actuation frequency. Simulation work of the proposed model was performed in the SolidWorks environment to verify the vertical velocity using the octopus tentacle actuation. The design morphology of Octobot was optimized using simulation and TRACKER software by analyzing the experimental data of angle, displacement, and velocity of real octopus. The as-developed Octobot can swim at variable frequencies (0.5–2 Hz) with the average speed of 25 mm/s (0.5 BLS). Therefore, the proposed soft Octopus robot showed an excellent capability of mimicking the gait pattern of its natural counterpart.

关键词： Bio-inspired Octopus Octobot Sub-surface Soft robotics Swimming

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Model predictive control system based on direct yaw moment control for 4WID self-steering agriculture vehicle

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International Journal of Agricultural and Biological Engineering 2021年第2期14卷 175-181页

作者： Hui Liu Shicheng Yan Yue Shen Chiheng Li Yafei Zhang fida hussain School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

A model predictive control(MPC)approach based on direct yaw moment control(DYC)was proposed to realize the self-steering drive for a newly autonomous four-wheel independent-drive(4WID)agricultural electric *** front axle and rear axle of the vehicle chassis could rotate simultaneously around their respective center points and cut the turning radius in half at most through specific mechanical chassis structure design and four-wheel electrical *** had great potential to reduce wheel traffic damage to field crops if two rear electrical drive wheels can be controlled to follow wheel tracks of two front wheels during self-steering ***,firstly,a two-degree-freedom dynamics model presenting this agricultural electric vehicle was ***,an MPC controller combined with DYC was applied to arrange torques from four wheels to match desired turning angles,direct yaw moments and travel *** simulation results existed small steady error of steering angles below 0.22%as they were set at 5°,followed with yaw moment under 0.17%and velocity less than 1%.Finally,according to experiment results,the vehicle successfully made a working turning radius of 9.1 m with maximum error of 0.55%when desired steering angles were 5°at the speed of 1 m/s and a minimum turning radius of 1.51 m with maximum error of 6.6%when steering angles were 30°at the speed of 0.5 m/*** verified that the 4WID agricultural electric vehicle could drive autonomously and steady with small self-steering angle error under the proposed control system and has a feasibility to reduce wheel traffic damage during driving and operation.

关键词： agriculture mechanization 4WID electric vehicle self-steering model predictive control

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Comparison of Sick and Hokuyo UTM-30LX laser sensors in canopy detection for variable-rate sprayer

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Information Processing in Agriculture 2018年第4期5卷 504-515页

作者： Hui Liu Bin Gao Yue Shen fida hussain Destaw Addis Cheng Kai Pan School of Electrical and Information Engineering Jiangsu UniversityZhenjiangJiangsuChina

Accurate acquisition of canopy structures,sizes and shapes of plants are significant in providing technical data for variable-rate precision spraying and plant growth estimation in modern *** research work proposes a comparative analysis of two mainstream brands of laser sensor scanners for canopy detection.A Hokuyo UTM-30LX laser sensor and a Sick LMS151-10100 laser sensor was used to detect spray targets including two artificial trees and a cuboid foam box,*** data acquisition and storage algorithms based on C++ language have been developed to collect real-time data from the given targets based on the sensors.A 3-dimentional image reconstruction algorithm was proposed to construct the detection targets using MATLAB *** this experiment,the detection distances between laser sensors and targets range from 1.8 to 2.2 m,and the traveling speed of laser sensors ranges from 0.5 to 2.0 m/s,and the size of trees 2.15×1.24×0.70m^3 have been taken for verification of proposed *** detection accuracies of both laser sensors have been compared by utilizing the given targets under indoor laboratory conditions,and detection accuracies of 3-dimentional reconstruction images of the target are analyzed by the root-mean-square error(RMSE),the coefficient of variation(CV)and edge similarity score(ESS).The experimental results show that the laser sensors have different detection accuracies under the same experimental conditions,and has different detection accuracy under different experimental *** LMS151-10100 laser sensor is more accurate and more suitable for detection in the case of fast detection ***,both sensors have the capability to measure the targets accurately and can be applied for the detection of trees in the area of variable-rate precision spraying.

关键词： Agriculture spraying automation Crops and tree spraying Lessor sensors Canopy detection Orchard

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Effect of gravistimulation on amino acid profile of pea,rice,corn,wheat during early growth stages

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Information Processing in Agriculture 2016年第4期3卷 244-251页

作者： Raghad S.Mouhamad Munawar Iqbal MAfzal Qamar Lamiaa A.Mutlag Ibrahim B.Razaq Mazhar Abbas fida hussain Soil and Water Resources Center Agricultural Research DirectorateMinistry of Sciences and TechnologyBaghdadIraq Department of Chemistry The University of LahoreLahorePakistan Department of Chemistry Qurtuba University of Science and Information TechnologyPeshawar 25100Pakistan Govt.Postgraduate College SamanabadFaisalabadPakistan Soil Fertility Ministry of Science and TechnologyBaghdadIraq Institute of Molecular Biology and Biotechnology The University of LahoreLahorePakistan Department of Botany Qurtuba University of Science and Information TechnologyPeshawar 25100Pakistan Department of Botany Islamia College University PeshawarPeshawarPakistan

The amino acids are one of the major cellular components of plants,which are involved in different metabolic *** present study,effect of artificial gravistimulation on amino acid profiles of pea,rice,corn,wheat during early growth stages was ***-axis clinostat was used for gravistimulation application,which was applied at embryonic *** acid profile was measured in 10-days old seedlings of pea,rice,corn and wheat *** effect of clinostat rotation was also evaluated under salt stress and MS medium *** pea,rice,corn and wheat seedlings were grown under the gravity condition for specific time *** and wheat seeds showed slowgermination as compared to pea and rice *** rate of amino acid formation under gravity condition was significantly higher than control(un-treated seedling).The variation in amino acid profile of pea,rice,corn and wheat cultivars vary *** revealed that gravistimulation applied through clinostat has positive effect on amino acid profile in plant tissue and future studies should be focused on growth,biochemical,physiological at lateral stages of growth.

关键词： Clinostat Microgravity Plant cultivars Amino acid profile

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