Waleed Raza

Embry–Riddle Aeronautical University

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Amir Ali

Harbin Engineering University

Xuefei Ma

Harbin Engineering University

Houbing Song

University of Maryland, Baltimore County

Muhammad Bilal

Harbin Engineering University

Richard S. Stansbury

Embry–Riddle Aeronautical University

Abdul Hanan

Northwell Health

Baowei Chen

Harbin Engineering University

Justus Renkhoff

University of Maryland, College Park

Xuefei Ma

National Heart Lung and Blood Institute

Olayemi Ogirimah

Embry–Riddle Aeronautical University

Cooperative Institutions

Harbin Engineering University

Ministry of Industry and Information Technology

Embry–Riddle Aeronautical University

Hohai University

University of Agriculture Faisalabad

University of Science and Technology of China

Beihang University

Mehran University of Engineering and Technology

Chinese Academy of Sciences

University of Maryland, Baltimore County

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Impact of biochar on the yield and nutritional quality of tomatoes (Solanum lycopersicum) under drought stress

Journal of the Science of Food and Agriculture (2023)

Muhammad Usman Noman Ahmad Waleed Raza Zhenhua Zhao Maria Abubakar

Undeviating climatic instabilities have increased the incidents of drought. Crop performance and yield attributes of tomatoes are negatively affected by drought stress. Biochar is an organic amendment that can increase crop yield and nutritional value under water-deficient conditions by retaining water and providing nutrients (nitrogen, phosphorus, potassium, and other trace elements).The present study was designed to investigate the effects of biochar on tomato plant physiology, yield, and nutritional quality under deficit moisture regimes. Plants were subjected to two biochar levels (0.1% and 0.2%) and four moisture levels [100%, 70%, 60%, and 50% field capacities (FCs)]. Drought stress, especially 50D (50% FC), severely affected the plant morphology, physiology, yield, and fruit quality attributes. However, plants grown in biochar-amended soil showed significant increase in the studied attributes. Plant height, root length, fresh and dry weight of root, the number of fruits per plant, fruit fresh and dry weight, ash percent, crude fat, crude fiber, crude protein, and lycopene contents were increased in plants grown in biochar-amended soil under control and drought stress.Biochar at 0.2% application rate depicted a more pronounced increment in the studied parameters than 0.1% and can save 30% water without compromising tomato crop yield and nutritional value. © 2023 Society of Chemical Industry.

Amendment

10.1002/jsfa.12517

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Citations (16)

Synthesis and characterization of cobalt ferrites as MRI contrast agent

Materials Today Proceedings (2020)

Javid Muhamad Arshad Waleed Raza Niama Amin Khalid Nadeem Muhammad Imran Arshad

The objective of this study was to synthesize, characterization and in vivo MRI experiment of cobalt ferrites as contrast agent. Iron oxide nanoparticles and cobalt ferrites were prepared by co-precipitation method. Iron oxides nanoparticles and cobalt ferrites were characterized by XRD, SEM, EDX, VSM and MRI. XRD analysis confirmed the spinel cubic structure of Fe3O4 with Miller indices (2 0 0), (2 2 0), (3 1 1), (4 0 0), (4 4 0) and average size of magnetic nanoparticles and cobalt ferrites were calculated about 11.13 nm, 12.21 nm and 16.85 nm using Scherer formula. XRD pattern confirmed that doping of Co increased the grain size of the magnetic nanoparticles. The morphology of iron oxide nanoparticles and cobalt ferrites were investigated by scanning electron microscope (SEM) and negligible agglomeration was found in ferrites. Spectra of EDX depicted the Fe, O and Cl elements in IONP. Magnetic properties were studied between Ms versus H using vibrating sampling magnetometer (VSM). Saturation magnetization (Ms) was enhanced with the doping concentration (20 %wt, 40 %wt) of Co with Fe3O4. MRI experiments were performed at low field MRI unit (0.35 Tesla, MAGNETOM) at open MRI diagnostic center Rawalpindi. T1-W, T2-W MRI images of liver and stomach of rabbits were taken using spin echo (SE) at TE = 15 ms and TR = 400 ms. IQ View software was used to estimate the intensity of signal induced by contrast agent pure iron oxides and cobalt ferrites (for liver, I = 1433 ± S.D = 111.5, spleen, I = 1009 ± S.D = 96.5), Co doped iron oxides nanoparticles (for liver, I = 1513 ± S.D = 102.2, spleen I = 1694 ± S.D = 219.2). This study concluded that cobalt ferrites induced high signal intensity of T2 contrast agents on liver and spleen as compared to iron oxides nanoparticles to diagnose many diseases in liver and spleen for clinical use of MR contrast agents.

Coprecipitation

MRI contrast agent

10.1016/j.matpr.2020.04.746

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Citations (21)

Long Short-Term Memory Neural Network assisted Peak to Average Power Ratio Reduction for Underwater Acoustic Orthogonal Frequency Division Multiplexing Communication

KSII Transactions on Internet and Information Systems (2023)

Waleed Raza Xuefei Ma Houbing Song Amir Ali Habib Zubairi

The underwater acoustic wireless communication networks are generally formed by the different autonomous underwater acoustic vehicles, and transceivers interconnected to the bottom of the ocean with battery deployed modems.Orthogonal frequency division multiplexing (OFDM) has become the most popular modulation technique in underwater acoustic communication due to its high data transmission and robustness over other symmetrical modulation techniques.To maintain the operability of underwater acoustic communication networks, the power consumption of battery-operated transceivers becomes a vital necessity to be minimized.The OFDM technology has a major lack of peak to average power ratio (PAPR) which results in the consumption of more power, creating non-linear distortion and increasing the bit error rate (BER).To overcome this situation, we have contributed our symmetry research into three dimensions.Firstly, we propose a machine learning-based underwater acoustic communication system through long short-term memory neural network (LSTM-NN).Secondly, the proposed LSTM-NN reduces the PAPR and makes the system reliable and efficient, which turns into a better performance of BER.Finally, the simulation and water tank experimental data results are executed which proves that the LSTM-NN is the best solution for mitigating the PAPR with non-linear distortion and complexity in the overall communication system.

Underwater acoustic communication

10.3837/tiis.2023.01.013

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Citations (2)

An Implementation of Partial Transmit Sequences to Design Energy Efficient Underwater Acoustic OFDM Communication System

arXiv (Cornell University) (2020)

Waleed Raza Xuefei Ma Amir Ali Zubair Ali Shah Ghazanfar Mehdi

In this article we research about underwater acoustics transceivers. As Underwater acoustic transceivers consume more power than Radio frequency transceivers. The techniques which are being utilized in radio frequency cannot be implemented directly in underwater acoustic system it needs to be re investigated to design new methods. To achieve reliable acoustic data transmission new techniques should be achieved or the traditional Orthogonal frequency divisional multiplexing techniques should be revised. The power consumption also relies upon underwater acoustic signal propagation and transmission distances. Several underwater acoustic applications require long-term monitoring of the sea. For the battery powered modems, it becomes very serious problem. By designing an Energy efficient OFDM Communication system we can solve this problem. We study about peak to average power ratio in an Orthogonal frequency divisional multiplexing system by reducing the major draw-back of OFDM system. The PAPR reduction utilized in this paper is Partial Transmit Sequences for underwater acoustic OFDM communication system which has lesser complexity. The results have provided better performance in underwater acoustic OFDM communication system.

Underwater acoustic communication

Transceiver

Underwater Acoustics

Transmitter power output

10.48550/arxiv.2007.01273

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Citations (5)

Deep Learning based OFDM System for Underwater Acoustic Communication with Mitigation of Peak to Average Power Ratio

International journal of scientific and technology research (2020)

Amir Ali Baowei Chen Waleed Raza Lin Sun Asif Ali

Underwater acoustic communication

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RECENT ADVANCES IN NUCLEAR POWER PLANT FOR FAULT DETECTION AND DIAGNOSIS - AREVIEW -

Journal of Critical Reviews (2020)

Asif Ali Maitloa Yong-kuo Liu Muhammad Nazim Lakhan Waleed Raza Altaf Hussain Shar

This review paper discusses the fault detection and diagnosis (FDD) methods, which are used for preserving the safety and trust ability of the nuclear power plant (NPP). The faults are regarded as unexpected changes or malfunctions in the system. If faults occur, it may lead to safety risks and economic losses in the NPP. Therefore, it is necessary to catch the failure as soon as possible to avoid inconvenience in the NPP system. In this review article, the survey of FDD methods is constituted; the FDD methods are categorized into the Fuzzy logic method (FLM), Model-based method (MBM), Neural network method (NNM), Data-driven method (DDM), and Sensor fault detection and diagnosis method (SFDDM). While the experimental approach into the MBM, NNM, DDM, and SFFDM are extremely limited, the FLM is used for the operation key of the NPP. It was affirmed that the FLM approach can give more accurate and authentic results after comparing it with all other FDD methods.

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The Development of a Thermal-Hydraulic and Nonlinear Dynamic System for Molten Salt Reactors

Engineering Technology & Applied Science Research (2021)

Amir Ali Y. K. Liu Waleed Raza Muhammad Anwarul Nazim Amir Ali

The Molten Salt Reactor (MSR) is the most important system suggested by Generation IV for the future direction in the nuclear reactor field. For more development of the MSR reactor, the core system inside the tube is proposed by naturally circulating molten fuel salt. The nonlinear kinetic equations form a linearized function and are obtained in state-space form. Reactivity feedback and delayed neutrons are extremely important for reactor control. In this paper, a thermal-hydraulic system for the commercial computation dynamic model is proposed. Currently, there is no commercial software to simulate the natural circulation flow. The proposed method can be easily employed to detect faults and can provide a feasible overall system performance.

Natural circulation

Thermal hydraulics

Molten salt reactor

10.48084/etasr.4066

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Citations (1)

A Nonlinear Distortion Removal Based on Deep Neural Network for Underwater Acoustic OFDM Communication with the Mitigation of Peak to Average Power Ratio

Applied Sciences (2020)

Xuefei Ma Waleed Raza Zhiqiang Wu Muhammad Bilal Ziqi Zhou

Machine learning and deep learning algorithms have proved to be a powerful tool for developing data-driven signal processing algorithms for challenging engineering problems. This paper studies the modern machine learning algorithm for modeling nonlinear devices like power amplifiers (PAs) for underwater acoustic (UWA) orthogonal frequency divisional multiplexing (OFDM) communication. The OFDM system has a high peak to average power ratio (PAPR) in the time domain because the subcarriers are added coherently via inverse fast Fourier transform (IFFT). This causes a higher bit error rate (BER) and degrades the performance of the PAs; hence, it reduces the power efficiency. For long-range underwater acoustic applications such as the long-term monitoring of the sea, the PA works in full consumption mode. Thus, it becomes a challenging task to minimize power consumption and unnecessary distortion. To mitigate this problem, a receiver-based nonlinearity distortion mitigation method is proposed, assuming that the transmitting side has enough computation power. We propose a novel approach to identify the nonlinear power model using a modern deep learning algorithm named frequentative decision feedback (FFB); PAPR performance is verified by the clipping method. The simulation results prove the better performance of the PA model with a BER with the shortest learning time.

Underwater acoustic communication

Clipping (morphology)

Distortion (music)

10.3390/app10144986

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Citations (17)

Enhancing Intrusion Detection in IoT Networks Through Federated Learning

IEEE Access (2024)

Raju Dhakal Waleed Raza Vijayanth Tummala Laxima Niure Kandel

10.1109/access.2024.3495702

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Low complexity energy efficient orthogonal frequency division multiplexing communication system over underwater acoustic channel by partial transmit sequence peak to average power ratio reduction

The Journal of the Acoustical Society of America (2019)

Waleed Raza Xuefei Ma Tingting Wang Muhammad Bilal

We discourse the power consumption for underwater acoustic transceivers in this study. We have proposed a less computational complex underwater acoustic OFDM communication system. Underwater acoustic transceivers consume more power than that Radio frequency transceivers. The methods which are being utilized in Radio frequency cannot directly be applied to underwater acoustic system. Therefore, it needs to re-investigated and the new techniques should be introduced to achieve reliable and energy efficient acoustic data transmission. It also relies upon condition of acoustic channel and transmission distances. There is long-term battery-operated deployment of underwater acoustic modems in some applications. To maintain sustainable network operations an energy efficient OFDM system is required. In this paper, we have used partial transmit sequence peak to average power ratio reduction technique to design a novel energy efficient OFDM system for underwater acoustic channel with less complexity. This framework will be remarkably helpful in future for long term battery deployed applications of underwater acoustic transceivers. The results are expected to provide the enhanced performance of PAPR reduction with better sustainability. It has less complexity and better energy efficiency for underwater acoustic sensor/sensing networks.

Underwater acoustic communication

Transceiver

Underwater Acoustics

Transmitter power output

10.1121/1.5136573

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Citations (1)