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Survey of Indoor Localization Based on Deep Learning

Computers, Materials & Continua 2024年第5期79卷 3261-3298页

作者： Khaldon Azzam Kordi Mardeni Roslee mohamad yusoff alias Abdulraqeb Alhammadi Athar Waseem Anwar Faizd Osman Centre for Wireless Technology Faculty of EngineeringMultimedia UniversityCyberjaya63100Malaysia Communication Systems&Networks Research Lab Malaysia-Japan International Institute of TechnologyUniversiti Teknologi MalaysiaKuala Lumpur54100Malaysia Department of Electrical Engineering(DEE) International Islamic UniversityIslamabad44000Pakistan Rohde&Schwarz(M)Sdn Bhd Shah Alam40150Malaysia

This study comprehensively examines the current state of deep learning (DL) usage in indoor *** emphasizes the significance and efficiency of convolutional neural networks (CNNs) and recurrent neuralnetworks (RNNs). Unlike prior studies focused on single sensor modalities like Wi-Fi or Bluetooth, this researchexplores the integration of multiple sensor modalities (e.g.,Wi-Fi, Bluetooth, Ultra-Wideband, ZigBee) to expandindoor localization methods, particularly in obstructed environments. It addresses the challenge of precise objectlocalization, introducing a novel hybrid DL approach using received signal information (RSI), Received SignalStrength (RSS), and Channel State Information (CSI) data to enhance accuracy and stability. Moreover, thestudy introduces a device-free indoor localization algorithm, offering a significant advancement with potentialobject or individual tracking applications. It recognizes the increasing importance of indoor positioning forlocation-based services. It anticipates future developments while acknowledging challenges such as multipathinterference, noise, data standardization, and scarcity of labeled data. This research contributes significantly toindoor localization technology, offering adaptability, device independence, and multifaceted DL-based solutionsfor real-world challenges and future advancements. Thus, the proposed work addresses challenges in objectlocalization precision and introduces a novel hybrid deep learning approach, contributing to advancing *** deep learning-based indoor localization techniques have improved accuracy, challenges likedata noise, standardization, and availability of training data persist. However, ongoing developments are expectedto enhance indoor positioning systems to meet real-world demands.

关键词： Deep learning indoor localization wireless-based localization

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Particle Swarm Optimization for Constrained and Multiobjective Problems:A Brief Review

Particle Swarm Optimization for Constrained and Multiobjecti...

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2011 International Conference on Management and Artificial Intelligence（ICMAI 2011）

作者： Nor Azlina Ab.Aziz mohamad yusoff alias Ammar W.Mohemmed Kamarulzaman Ab.Aziz Faculty of Engineering and Technology Multimedia University Malaysia Faculty of Engineering Multimedia University Malaysia Knowledge Engineering & Discovery Research Institute Auckland University of Technology New Zealand Faculty of Management Multimedia University Malaysia

Particle swarm optimization （PSO） is an optimization method that belongs to the swarm intelligence *** was initially introduced as continuous problem optimization *** has evolved to being applied to more complex multiobjective and constrained *** paper presents a systematic literature review of PSO for constrained and multiobjective optimization problems.

关键词： Constrained optimization problems multiobjective optimization problems particle swarm optimization

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Mixed P3HT/PCBM Organic Thin-Film Transistors： Relation between Morphology and Electrical Characteristics

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Journal of Chemistry and Chemical Engineering 2014年第5期8卷 476-481页

作者： Khairul Anuar mohamad Afishah alias Ismail Saad Bablu Kumar Gosh Katsuhiro Uesugi Hisashi Fukuda Nanoelectronics Device and Materials Research Group Universiti Malaysia Sabah Sabah 88400 Malaysia Muroran Institute of Technology Muroran 050-8585 Japan

The mixed P3HT （poly（3-hexylthiophene）） and [6,6]-PCBM （phenyl C61-butyric acid methyl ester） organic thin films were investigated for electronic structure using UV-Vis spectrophotometer and PESA （photo-electron spectroscopy in air）. Furthermore, ESR （electron spin resonance） and AFM （atomic force microscopy） were used to investigate the surface morphology and molecular orientation, respectively. ESR analysis indicated the molecular orientation of the P3HT crystalline in the blend thin films, which the crystalline oriented normal to the substrate with distribution of 35°. AFM images indicated that the surface morphology of P3HT film was affected by the presence of PCBM nanoparticles. Solution-processed OTFTs （organic thin-film transistors） based on P3HT/PCBM blend thin film in a top source-drain contact structure was fabricated, and the electrical characteristics of the devices were also investigated. A unipolar property with p-channel characteristics were obtained in glove box measurement.

关键词： Organic semiconductor P3HT PCBM P3HT/PCBM blend thin film organic thin-film transistor.

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Strain Sensor Based on Embedded Fiber Bragg Grating in Thermoplastic Polyurethane Using the 3D Printing Technology for Improved Sensitivity

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Photonic Sensors 2022年第3期12卷 68-78页

作者： Harith AHMAD mohamad Ashraff alias Mohammad Faizal ISMAIL Nor Najwa ISMAIL Muhammad Khairol Annuar ZAINI Kok Sing LIM Gilberto BRAMBILLA Kenneth T.V.GRATTAN B.MAzizur RAHMAN Photonics Research Centre University of MalayaKuala Lumpur 50603Malaysia Department of Physics Faculty of ScienceUniversity of MalayaKuala Lumpur 50603Malaysia Optoelectronics Research Centre University of SouthamptonSouthampton SO171BJUK School of Mathematics Computer Science and EngineeringCity University of LondonLondon EC1V 0HBUK

A new and easy-to-fabricate strain sensor has been developed,based on fiber Bragg grating(FBG)technology embedded into a thermoplastic polyurethane filament using a 3-dimensional(3D)*** advantage of the flexibility and elastic properties of the thermoplastic polyurethane material,the embedding of the FBG provides durable protection with enhanced flexibility and sensitivity,as compared to the use of a bare *** of an evaluation of its performance have shown that the FBG sensors embedded in this way can be applied effectively in the measurement of strain,with an average wavelength responsivity of 0.0135 nm/cm of displacement for tensile strain and -0.0142 nm/cm for compressive strain,both showing a linearity value of up to 99%.Furthermore,such an embedded FBG-based strain sensor has a sensitivity of~1.74 times greater than that of a bare FBG used for strain measurement and is well protected and suitable for in-the-field *** is also observed that the thermoplastic polyurethane based(TPU-based)FBG strain sensor carries a sensitivity value of~2.05 times higher than that of the polylactic acid based(PLA-based)FBG strain sensor proving that TPU material can be made as the material of choice as a“sensing”pad for the FBG.

关键词： Fiber-optic sensors fiber Bragg grating 3D printing technology multiple-point strain measurement

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