Article
Engineering, Electrical & Electronic
Xiaobin Xue, Xile Han, Linhao Li, Li Min, Daotong You, Tuan Guo
Summary: Respiration rate and volume are important physiological indicators of human health, which can reflect cardiovascular health status and cardiopulmonary function. In this study, a compact breath monitoring system based on a wearable tilted fiber Bragg grating (TFBG) curvature sensor is demonstrated. The TFBGs provide highly sensitive, real-time response to curvature changes during respiration, assisted by a custom designed breathing tube. The proposed miniaturized and cost-effective sensing system consists of a tunable laser module, a field programmable gate array acquisition control circuit module, and a sensor module, and different breathing patterns can be successfully identified from the output of the sensor.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Optics
Xiaolin Tian, Yong Wang, Qiang Zhao, Yunzhou Li, Huanxin Li, Jiaojiao Qu, Dongbin Zhang
Summary: This paper presents a miniaturized, low-cost, 4-channel fiber Bragg grating (FBG) interrogation system for real-time remote monitoring. The system utilizes a superluminescent light emitting diode (SLED) as the broadband light source, combined with high-precision interpolation methods for monitoring spectral and central wavelength. The system also supports remote access, data storage, and channel switching functions.
Article
Chemistry, Analytical
Xiujuan Wang, Yaming Jiang, Siyi Xu, Hao Liu, Xiaozhi Li
Summary: This study reports a smart garment for monitoring human body temperature based on FBG sensors, which exhibit good vibration resistance and bending adaptability. By integrating the sensor, optical fiber, and garment using an electric iron and hot press machine, it can be used in special environments.
Article
Chemistry, Analytical
Shen Liu, Wenqi Yan, Junlan Zhong, Tao Zou, Min Zhou, Peijing Chen, Hang Xiao, Bonan Liu, Zhiyong Bai, Yiping Wang
Summary: This article introduces an all fiber-optic breath sensor based on E-HIPFG, which has ultrafast response and recovery time, insensitivity to external influences, and does not require additional coating materials or fiber architectures, making it suitable for continuous and long-term breath monitoring.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Review
Engineering, Electrical & Electronic
Carlo Massaroni, Martina Zaltieri, Daniela Lo Presti, Andrea Nicolo, Daniele Tosi, Emiliano Schena
Summary: Systems for cardiorespiratory monitoring show great potential in various fields including clinical settings, harsh environments, sports science, and telemonitoring. Challenges lie in developing unobtrusive and comfortable systems with high metrological performance. Recent advances in fiber optic technology, particularly in fiber Bragg grating (FBGs) sensors, offer promising solutions for cardiorespiratory monitoring.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Javier Elaskar, Francesca Bontempi, Philippe Velha, Rana M. Armaghan Ayaz, Lorenzo Tozzetti, Stefano Faralli, Fabrizio Di Pasquale, Claudio J. Oton
Summary: We present an interferometer-based multiplexed fiber Bragg grating (FBG) interrogator using silicon photonic technology. The photonic-integrated system includes various components integrated on a 6x8 mm² silicon chip, such as grating couplers, active and passive interferometers, a 12-channel wavelength-division-multiplexing (WDM) filter, and Ge photodiodes. The device showcases the advantage of integrated photonics, allowing the integration of different demodulation schemes in the same chip, enabling easy scalability without increasing dimensions or cost.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Review
Chemistry, Analytical
Hang Qu, Weiyuan Huang, Zhoupeng Lin, Xin Cheng, Rui Min, Chuanxin Teng, Christophe Caucheteur, Xuehao Hu
Summary: This article reviews recent research progress on the annealing effects on polymer optical fibers (POFs) that are used for fiber Bragg gratings (FBGs) in POFs. The review covers the principle of annealing, different annealing timings, methods and conditions, as well as the impact of annealing on POFs and POFBGs. It provides a comprehensive overview of annealing techniques and their importance in this field.
Article
Engineering, Electrical & Electronic
Hanqi Zhang, Hengtian Zhu, Qi Wu, Ye Chen, Rong Wang, Fei Xu, Ke Xiong
Summary: In this study, a microfiber Bragg grating (MFBG) bonded using tapered cantilever was designed and investigated using experimental, theoretical, and numerical methods. The tapered structure amplified the ultrasonic signal and eliminated the influences of static strain and evanescent field using the cantilever. Compared to the cantilevered fiber Bragg grating, the sensitivity of the sensor showed an upward trend with decreasing diameter, with 331% and 108% sensitivity increments observed for MFBGs with 20 and 40 μm diameters, respectively. The improvement was particularly apparent at high frequencies of the ultrasonic signal.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Tao Tan, Chao Duan, Xianghe Liu, Desheng Fan, Zhongfei Ye, Kai Xie, Quan Chai, Ye Tian, Jianzhong Zhang
Summary: A method of monitoring transmission line galloping using a fiber Bragg grating (FBG) fitting sensor has been proposed and verified. It can measure line tension, galloping mode, and amplitude in real-time, regardless of weather conditions.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Francesco Anelli, Andrea Annunziato, Mike Godfrey, Antonella Maria Loconsole, Christopher Holmes, Francesco Prudenzano
Summary: A high curvature flexible Bragg grating was designed, fabricated, and characterized using silica glass. The curvature sensing mechanism for slightly off-axis core was explained theoretically and demonstrated experimentally. The electromagnetic behavior of the sensor was investigated using conformal mapping, modal analysis, and coupled-mode theory. The reflection spectrum and the relationship between resonant wavelengths and curvature were measured for a large curvature range.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Tingfeng Li, Ruohui Wang, Xueguang Qiao
Summary: We proposed a fiber Bragg grating (FBG) accelerometer demodulation method based on an in-line Sagnac interferometric structure. The method uses an electro-optical phase modulator as a phase-generating carrier modulation module. The study theoretically analyzed the in-line Sagnac optical path interference based on the electro-optical phase modulator and described its modulation mechanism. Experimental results showed that the proposed method effectively reduces system background noise and provides a fast response to interferometric optical path changes. The sensitivity of the demodulation scheme based on the in-line Sagnac structure was also improved compared to the Sagnac ring structure.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Gulzhan Kashaganova, Ainur Kozbakova, Timur Kartbayev, Gani Balbayev, Kulzhan Togzhanova, Zhuldyz Alimseitova, Sandugash Orazaliyeva
Summary: Road infrastructure is a crucial public asset for social and economic development. The use of fiber sensors based on FBG can greatly improve the accuracy of measurement for deformation, stress, displacement, and temperature, providing a reliable scientific basis for road surface monitoring.
Article
Chemistry, Multidisciplinary
Huajian Zhong, Xueya Liu, Cailing Fu, Baijie Xu, Jun He, Pengfei Li, Yanjie Meng, Chao Du, Lin Chen, Jian Tang, Yiping Wang
Summary: Two types of series-integrated fiber Bragg gratings (SI-FBGs), strong and weak SI-FBGs, were inscribed in a standard single-mode fiber (SMF) using femtosecond laser point-by-point technology. The grating pitch of each FBG and the distance between the FBGs can be flexibly controlled by adjusting the inscription parameters. The strong SI-FBGs were used to measure temperature distribution and the weak SI-FBGs were used to measure strain distribution, achieving high spatial resolution.
Article
Engineering, Electrical & Electronic
Dongtao Hu, Shanke Lv, Yongxing Guo, Huagang He, Jiayi Liu
Summary: The article presents a fiber Bragg grating (FBG) force sensor with enhanced sensitivity using a strain-reinforcing mechanism, achieving high sensitivity and good performance, demonstrating potential for superior structural health monitoring.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Physical
Soo-Yeon Seo, Jeong-Hun Park, Hyun-Do Yun, Kang-Su Kim, Gun-Cheol Lee, Seongwon Hong
Summary: This study examines the use of OF sensors to monitor the reinforcing effect of FRP in concrete structural members, specifically determining that a total adhesion length of 40 mm or more is sufficient for strain transfer in FRP. Experiment and analytical studies were conducted to validate the findings.
Review
Chemistry, Analytical
Sharmila Devi, Anju Sangwan, Anupma Sangwan, Mazin Abed Mohammed, Krishna Kumar, Jan Nedoma, Radek Martinek, Petr Zmij
Summary: This paper introduces the use of Computational Geometry-based techniques to improve the coverage and connectivity of Wireless Sensor Networks (WSNs), and surveys the existing research in this area.
Article
Chemistry, Multidisciplinary
Nguyen Thi Phuong Thao, Loc Ton-That, Cong-Thuan Dang, Jan Nedoma
Summary: The reaction time, temperature, ratio of precursors, and concentration of sodium citrate are crucial factors in determining the shape and size of SiO2@Au nanoparticles synthesized through the chemical reaction of HAuCl4 and sodium citrate. The optimal conditions for synthesis were found to be a 1:21 ratio of HAuCl4 to sodium citrate, with an initial concentration of sodium citrate of 4.2 mM, a reaction time longer than 6 hours, and a temperature of 80 degrees C.
Article
Engineering, Biomedical
Muhammad Saeed, Muhammad Ahsan, Muhammad Haris Saeed, Atiqe Ur Rahman, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek
Summary: This study proposes a novel mathematical model based on an adaptive fuzzy structure to assist in the diagnostic process of tuberculosis. The model extends the existing fuzzy soft set model and has a more generalized, flexible, and reliable algebraic framework. It can approximate tuberculosis patients under examination and address the uncertain observations made by medical experts through fuzzy membership grades. The model categorizes distinct attributes into attribute-valued sets, allowing for better interpretation.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Abdullah Lakhan, Mazin Abed Mohammed, Begonya Garcia-Zapirain, Jan Nedoma, Radek Martinek, Prayag Tiwari, Neeraj Kumar
Summary: This research proposes a cost-efficient and secure vehicular fog cloud computing environment that addresses mobility and offloading costs through a mobility-aware multi-scenario offloading phase and a fully polynomial-time approximation scheme based search task scheduling. It also protects data through a security scheme based on fully-homomorphic encryption. The results show that the proposed work optimizes costs by 40% compared to existing systems.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Abdullah Lakhan, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Prayag Tiwari, Ankit Vidyarthi, Ahmed Alkhayyat, Weiyu Wang
Summary: The usage of machine-learning-enabled dynamic Internet of Medical Things (IoMT) systems for digital healthcare applications is growing progressively. However, fraud in the distributed IoMT system is still a critical research problem. This study proposes a federated learning-based blockchain-enabled task scheduling framework to ensure privacy preservation and fraud detection, minimize energy consumption and delay, and meet healthcare workload deadlines.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
Abdullah Lakhan, Mazin Abed Mohammed, Ahmed N. N. Rashid, Seifedine Kadry, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Imran Razzak
Summary: The Internet of Things (IoT) is a network that enables real-time healthcare services by supporting various healthcare workflow applications. Healthcare sensors are connected to the outside world for disease monitoring, but data privacy and application cost remain challenges.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Multidisciplinary Sciences
Awab Ur Rashid Durrani, Nasru Minallah, Najam Aziz, Jaroslav Frnda, Waleed Khan, Jan Nedoma
Summary: Deep learning based data driven methods with multi-sensors spectro-temporal data are widely used for pattern identification and land-cover classification in remote sensing domain. The performance of Convolutional Long Short-Term Memory (ConvLSTM) and deep learning techniques are evaluated, and the one with highest performance is used for land-cover classification.
Article
Multidisciplinary Sciences
Abdullah Lakhan, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Prayag Tiwari, Neeraj Kumar
Summary: The Industrial Internet of Things (IIoT) is a new paradigm for performing various healthcare applications using different services in daily life. These applications are used to track patients' health status using remote healthcare technologies. However, existing industrial healthcare technologies still face challenges such as security, task scheduling, and cost management in IIoT-based healthcare paradigms. This paper proposes a new solution called the deep reinforcement learning-aware blockchain-based task scheduling (DRLBTS) algorithm framework to address these issues and provide secure and efficient scheduling for healthcare applications.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari
Summary: Ransomware attacks on IoT devices have become common, especially in the healthcare sector. This article presents an adaptive malware analysis dynamic machine learning (AMDML) algorithm for content-aware heartbeat data in fog cloud computing. The algorithm improves accuracy, reduces delay, and enhances detection compared to existing malware analysis techniques.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Kyamelia Roy, Sheli Sinha Chaudhuri, Jaroslav Frnda, Srijita Bandopadhyay, Ishan Jyoti Ray, Soumen Banerjee, Jan Nedoma
Summary: The advancement of Deep Learning and Computer Vision in agriculture has proven to be effective in detecting harmful plant diseases. This work proposes a novel method, using Deep Neural Networks, for detecting Tomato leaf diseases to strengthen the agricultural industry. The hybrid framework combines PCA and a customized Deep Neural Network named PCA DeepNet, along with GAN for dataset generation. The detection is carried out using F-RCNN, achieving a high classification accuracy of 99.60% and an average precision of 98.55%, with a promising IOU score of 0.95.
Article
Engineering, Electrical & Electronic
Jan Jargus, Martin Tomis, Jan Baros, Lukas Danys, Rene Jaros, Radek Martinek, Vladimir Vasinek, Jan Nedoma
Summary: This publication discusses the impact of selected luminescent layer parameters on the light and communication characteristics of light generated by a luminescent layer using LED as a radiation source. Luminescent layers consisting of a combination of PDMS polymer, YAG:Ce and CaS:Eu phosphors were fabricated through spin coating. Experimental results demonstrate that even slight changes in the luminescent layer thickness significantly affect the luminous and communication parameters of the generated light. Colorimetric parameters and communication parameters were measured to evaluate the samples.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Khadem Ullah, Nasru Minallah, Durre Nayab, Ishtiaque Ahmed, Jaroslav Frnda, Jan Nedoma
Summary: With the growth of Internet users, video applications, and data traffic, the demand for reliable and bandwidth-efficient multimedia communication is increasing. This article analyzes the performance of convolutional codes, turbo codes, and self-concatenated convolutional (SCC) codes in terms of quality, providing insights for future video communication. Simulation results show that turbo codes outperform convolutional codes, while convolutional codes perform better than SCC codes.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Computer Science, Information Systems
Priyanka Gaba, Ram Shringar Raw, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek
Summary: This paper introduces the architecture and components of Hyperledger Fabric Private Blockchain Network (HFPBN) and discusses the elements and size of blocks. Using Vehicular Ad-hoc Networks (VANETs) as a case study, the paper explores the application of Blockchain in this system and shows the relationship between various parameters and block size through formulas and graphs. The impact of block size on performance parameters of the VANET system is analyzed using Hyperledger Caliper.
Article
Engineering, Electrical & Electronic
Rene Jaros, Jan Nedoma, Stanislav Kepak, Radek Martinek
Summary: The application of fiber-optic-based sensors, particularly in the magnetic resonance (MR) environment and sleep laboratory, is a hot topic. This study focuses on signal processing methods for biosignals measured by fiber-optic sensors that use light interference. The study evaluated three testing methods for determining patient heart rate, and found that wavelet transform is the most suitable method.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Martina Ladrova, Jan Nedoma, Radek Martinek, Khosrow Behbehani, Radana Kahankova
Summary: Fiber-optic technology has great potential for vital signs monitoring, especially in magnetic resonance environments. The use of mechanical signals instead of electrical ones makes fiber-optic sensors resistant to interference and easy to use. However, there are still some issues that need to be addressed before introducing them to clinical practice.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
