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SNR and RSSI Based an Optimized Machine Learning Based Indoor Localization Approach:Multistory Round Building Scenario over LoRa Network

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Computers, Materials & Continua 2024年第8期80卷 1927-1945页

作者： Muhammad Ayoub kamal Muhammad Mansoor Alam Aznida abu bakar Sajak Mazliham Mohd Su’ud Malaysian Institute of Information Technology(MIIT) Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Computing and Informatics Multimedia UniversityCyberjaya63100Malaysia Depertment of Computer Science DHA Suffa UniversityKarachiSindh75500Pakistan Riphah Institute of System Engineering(RISE) Faculty of ComputingRiphah International UniversityIslamabad46000Pakistan Malaysian France Institute(MFI) Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneyUltimoNSW 2007Australia

In situations when the precise position of a machine is unknown,localization becomes *** research focuses on improving the position prediction accuracy over long-range(LoRa)network using an optimized machine learning-based *** order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting method over LoRa technology,this study proposed an optimized machine learning(ML)based *** signal strength indicator(RSSI)data from the sensors at different positions was first gathered via an experiment through the LoRa network in a multistory round layout *** noise factor is also taken into account,and the signal-to-noise ratio(SNR)value is recorded for every RSSI *** study concludes the examination of reference point accuracy with the modified KNN method(MKNN).MKNN was created to more precisely anticipate the position of the reference *** findings showed that MKNN outperformed other algorithms in terms of accuracy and complexity.

关键词： Indoor localization MKNN LoRa machine learning classification RSSI SNR localization

Elevating Localization Accuracy inWireless Sensor Networks: A Refined DV-Hop Approach

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Computers, Materials and Continua 2024年第1期81卷 1511-1528页

作者： Ejaz, Muhammad Aamer bakar, kam.lrulnizam.abu Isnin, Ismail Fauzi Bin Isyaku, Babangida Eisa, Taiseer Abdalla Elfadil Abdelmaboud, Abdelzahir Elnour, Asma Abbas Hassan Department of Computer Science Faculty of Computing Universiti Technologi Malaysia Johor Bahru 81310 Malaysia Department of Computer Science Faculty of Computing and Information Technology Sule Lamido University P.M.B. 048 Kafin Hausa 741103 Nigeria Department of Information Systems-Girls Section King Khalid University Mahayil 62529 Saudi Arabia Humanities Research Center Sultan Qaboos University Muscat 123 Oman

Localization is crucial in wireless sensor networks for various applications, such as tracking objects in outdoor environments where GPS (Global Positioning System) or prior installed infrastructure is unavailable. However, traditional techniques involve many anchor nodes, increasing costs and reducing accuracy. Existing solutions do not address the selection of appropriate anchor nodes and selecting localized nodes as assistant anchor nodes for the localization process, which is a critical element in the localization process. Furthermore, an inaccurate average hop distance significantly affects localization accuracy. We propose an improved DV-Hop algorithm based on anchor sets (AS-IDV-Hop) to improve the localization accuracy. Through simulation analysis, we validated that the ASIDV- Hop proposed algorithm is more efficient in minimizing localization errors than existing studies. The ASIDV- Hop algorithm provides an efficient and cost-effective solution for localization inWireless Sensor Networks. By strategically selecting anchor and assistant anchor nodes and rectifying the average hop distance, AS-IDV-Hop demonstrated superior performance, achieving a mean accuracy of approximately 1.59, which represents about 25.44%, 38.28%, and 73.00% improvement over other algorithms, respectively. The estimated localization error is approximately 0.345, highlighting AS-IDV-Hop's effectiveness. This substantial reduction in localization error underscores the advantages of implementing AS-IDV-Hop, particularly in complex scenarios requiring precise node localization. © 2024 The Authors. Published by Tech Science Press.

关键词： Global positioning system

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利用深度学习进行植物叶片病害检测

利用深度学习进行植物叶片病害检测

作者： LASKAR MD abu bakar 西南科技大学

学位级别：硕士

植物叶病对粮食安全构成威胁,由于基础设施不足,一些地区的及时诊断更加复杂。本文旨在利用先进的深度学习方法,特别是YOLOv5模型,解决农业中植物叶病检测的重要问题。其目的是为检测植物叶片疾病提供一种可靠有效的解决方案。引言强调... 详细信息

植物叶病对粮食安全构成威胁,由于基础设施不足,一些地区的及时诊断更加复杂。本文旨在利用先进的深度学习方法,特别是YOLOv5模型,解决农业中植物叶病检测的重要问题。其目的是为检测植物叶片疾病提供一种可靠有效的解决方案。引言强调了植物疾病在全球范围内的重大影响,包括全球后果和财务影响。它强调了早期识别以减轻这些影响的迫切需要。这项研究仔细研究了深度学习方法的复杂使用,其动机是技术改造农业的潜力。我们使用精心选择的番茄数据集训练YOLOv5模型,以证明其在区分健康和不健康植物叶片方面的熟练程度。该数据集包括九类不同的疾病。该模型具有92.6%的显著平均精度,表明在检测疾病方面具有显著的准确性。农业中植物叶病的识别遇到了几个复杂的挑战,使用Flask框架有效实施学习模型意味着在实际使用深度学习来解决这些问题方面取得了实质性进展。多模式方法优先考虑研究,以加强农业技术并确保全球粮食安全。此外,它在推进疾病检测的科学知识和为未来的进展奠定基础方面发挥着至关重要的作用。为了实现这些目标,本文研究了不同的混合建模技术,使用深度学习、基于机制的方法和数据集成驱动的观点来发现植物叶片上的疾病。本文的主要创新和贡献如下:利用YOLOv5和Flask框架有效鉴定植物病害(1)一种用于疾病检测的高级深度学习框架本文使用YOLOv5模型来解决植物叶片疾病的诊断问题,这是一种以对象检测的快速性和准确性而闻名的尖端深度学习方法。使用一个严格策划的番茄叶片数据集,该数据集包含九种独特疾病类别的健康和生病叶片的图片,该机器被训练以高精度区分各种情况。YOLOv5的训练模型具有惊人的92.6%的平均准确率,证明了其有效诊断植物叶片疾病的能力。这种提高的准确度对于快速准确的疾病识别至关重要,这可能会对作物管理的选择和结果产生重大影响。(2)实际实现和用户可访问性利用Flask框架(一种允许在农业环境中实时检测疾病的轻量级网络框架)进行训练后,YOLOv5模型的熟练实现是该研究向前迈出的重要一步。这种实现方式保证了最终用户可以通过易于使用的界面访问深度学习模型。重点是开发一个用户友好的界面,使农民和农业专家能够轻松接受和使用这项技术。这种对可访问性的强调对于深度学习解决方案在现实农业应用中的实际效果和广泛接受至关重要。(3)对农业技术和未来研究的贡献。这项研究在扩大农业技术和改善全球粮食安全方面处于领先地位。通过建立深度学习用于植物疾病检测的可行性和有效性,该研究为未来的发展和与物联网设备和无人机等其他技术的集成铺平了道路。这篇论文极大地增加了我们对植物疾病检测的科学知识,并为未来的研究建立了坚实的框架,以提高全球粮食安全和可持续性。它强调了持续研究和技术发展的潜力,以促进农业方法的进一步进步。

关键词：植物疾病检测深度学习 YOLOv5 Flask 农业

Life Threatening Stridor Due to Primary Laryngeal Tuberculosis

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第1期13卷 62-69页

作者： Siti Aisyah Mohamed Azreen Zaira abu bakar Mawaddah Azman Otorhinolaryngology Department Hospital Ampang Selangor Malaysia Otorhinolaryngology Department Faculty of Medicine Universiti Kebangsaan Malaysia Kuala Lumpur Malaysia Otorhinolaryngology Department Hospital Kuala Lumpur Kuala Lumpur Malaysia

Tuberculosis is a potentially serious infectious disease. In otorhinolaryngology practice, lymph node infection is the most common site of predilection followed by the larynx. Laryngeal tuberculosis (LTB) typically presents with dysphagia, odynophagia and hoarseness. We reported a case of primary LTB presenting with acute upper airway obstruction and respiratory distress mimicking acute supraglottitis which requires emergency tracheostomy. Therefore, in acute upper airway obstruction, the appropriate initial investigation should be done to rule out TB to make sure early treatment can be given and it may prevent complications of disease to the patient. .

关键词： Extra-Pulmonary Granulomatous Infection Malignancy Upper Airway

多盘连续可变工作间隙磁流变制动器仿真与验证

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重庆大学学报 2024年第8期47卷 26-38页

作者：李东恒王娜 Saiful Anuar abu bakar 宋万里马来西亚理工大学汽车发展中心马来西亚新山81310 马来西亚理工大学机械工程学院马来西亚新山81310 柳州职业技术大学机电工程学院广西柳州545006 东北大学机械工程与自动化学院沈阳110819

为提高磁流变制动器制动能效,提出一种多盘连续可变磁流变液工作间隙结构的磁流变制动器。在ANSYS workbench环境下完成不同电流、间隙状态下的三维静态磁场仿真,对磁场沿工作间隙分布状况进行分析,通过试验台架对制动器性能进行测试。... 详细信息

为提高磁流变制动器制动能效,提出一种多盘连续可变磁流变液工作间隙结构的磁流变制动器。在ANSYS workbench环境下完成不同电流、间隙状态下的三维静态磁场仿真,对磁场沿工作间隙分布状况进行分析,通过试验台架对制动器性能进行测试。结果表明,磁流变液工作区域磁矢量分布相对均匀,无明显积聚现象,磁路设计合理。理论与实验结果变化趋势基本吻合,但在电流较大时,两者之间误差呈逐渐增大趋势。制动力矩在0~2.5 A电流变化区间增速较快,而在2.5~4.0 A区间明显放缓,最大力矩达到146.4 N·m,较间隙未改变状态增加25.80%。设计的制动器TVR值达到48.81 kN·m/m^(3),较传统磁流变制动器结构更紧凑,力矩调节范围更广,设计思路及实验结论对磁流变制动器结构的进一步研究具有借鉴意义。

关键词：磁流变液楔形工作间隙连续可变制动性能

Correlation of Hamstring Tendon Size in Pre-Operative MRI Measurement with Intra-Operative Graft Size in Primary Anterior Cruciate Ligament (ACL) Reconstruction

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Journal of Biosciences and Medicines 2024年第3期12卷 150-158页

作者： Nurhanani abu bakar Mohamad Razip Sirat Hairiah Abas Saiful Safuan Md Sani Department of Orthopaedic Hospital Pakar Sultanah Fatimah Muar Malaysia Department of Orthopaedic Hospital Tengku Ampuan Rahimah Klang Malaysia Department of Radiology Hospital Pakar Sultanah Fatimah Muar Malaysia Department of Medicine Clinical Research Center Hospital Kuala Lumpur Kuala Lumpur Malaysia

Background: The size of Hamstring autograft of less than 8.0 mm in ACL re-construction is one of the key factors that may contribute to the failure of the graft. In this study, we are going to assess the correlation of pre-operative MRI measurement of Hamstring tendons with the intra-operative ACL graft. Thus, it may help surgeons to anticipate the needs for graft augmentation should the final graft size be smaller than expected. Methods: We retrospectively re-viewed 41 cases of ACL reconstructions in which MRI were done pre-operatively, in Hospital Pakar Sultanah Fatimah (HPSF), Muar between January 2019 until December 2022. MRI measurements of Hamstring tendon (semitendinosus: ST, and gracilis) were done by a radiologist, and the in-tra-operative notes were reviewed for the final graft size. Pearson’s correlation coefficients were calculated to determine the relationship between graft size and tendon cross-sectional area. The intraclass correlation (ICC) by using two-way mixed model with type consistency, the reliability based on average measure was 0.41 (95% CI: ?0.10, 0.69). A p-value < 0.05 was considered sig-nificant. Results: Of 105 patients with primary ACL reconstruction done be-tween January 2019 to December 2022, only 41 patients were included in this study. There was fair correlation (p = 0.048) between pre-operative MRI measurement and the graft diameter intra-operatively. The mean of 17.0 mm of combined diameter of ST and gracilis tendon in MRI may results in graft diameter of 8.3 mm. There was also positive correlation between patients’ height and the intra-operative graft size. Conclusion: These results showed good correlation between pre-operative MRI measurement of Hamstring ten-don size with the intra-operative graft size, hence it is a reliable tool to predict the Hamstring autograft size in ACL reconstruction.

关键词： ACL Reconstruction Pre-Operative MRI Hamstring Tendon

A Hybrid Quantum Inspired Particle Swarm Optimization and Least Square Framework for Real-time Harmonic Estimation

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1548-1556页

作者： abu bakar Waqas Muhammad Mansoor Ashraf Yasir Saifullah Department of Communication Science and Engineering School of Information Science and TechnologyFudan University Electrical Engineering Department University of Engineering and Technology

The power quality is becoming an extensively addressing aspect of the power system because of the sensitive operation of the smart grid, awareness of power quality, and the equipment of modern power systems. In this paper, we have conceived a new hybrid Quantum inspired particle swarm optimization and least square(QPSO-LS) framework for real-time estimation of harmonics presented in time-varying noisy power signals. The technique has strong, robust, and reliable search capability with powerful convergence properties. The proposed approach is applied to various test systems at different signal to noise ratio(SNR) levels in the presence of uniform and Gaussian noise. The results are presented in terms of precision, computation time, and convergence characteristics. The computation time decreases by 3-5 times as compared to the existing algorithms. The technique is further authenticated by estimating harmonics of real-time current or voltage waveforms, obtained from light emitting diode(LED) lamp and axial flux permanent magnet synchronous generator(AFPMSG). The results demonstrate the superiority of QPSO-LS over other methods such as LS-based genetic algorithm(GA), particle swarm optimization(PSO), bacterial foraging optimization(BFO), artificial bee colony(ABC), and biogeography based optimization with recursive LS(BBO-RLS) algorithms, in terms of providing satisfactory solutions with a significant amount of robustness and computation efficiency.

关键词： Harmonic estimation power quality particle swarm optimization(PSO) least square(LS) smart grid

Simulation of Vortex-Induced Vibrations of A Cylinder Using ANSYS CFX

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China Ocean Engineering 2014年第4期28卷 541-556页

作者： abu bakar IZHAR Arshad Hussain QURESHI Shahab KHUSHNOOD University of Engineering & Technology Lahore Pakistan University of Engineering & Technology Taxila Pakistan

In this paper, vortex-induced vibrations of a cylinder are simulated by use of ANSYS CFX simulation code. The cylinder is treated as a rigid body and transverse displacements are obtained by use of a one degree of freedom spring damper system. 2-D as well as 3-D analysis is performed using air as the fluid. Reynolds number is varied from 40 to 16000 approx., covering the laminar and turbulent regimes of flow. The experimental results of （Khalak and Williamson, 1997） and other researchers are used for validation purposes. The results obtained are comparable.

关键词： vortex-induced vibrations ANSYS CFX flow induced vibrations fluid structure interaction

Life Threatening Stridor Due to Primary Laryngeal Tuberculosis

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