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Schedulability Analysis of WSAN applications: Outperformance of a Model Checking Approach 27

Schedulability Analysis of WSAN Applications: Outperformance...

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IEEE 27th international conference on Emerging technologies and Factory Automation (ETFA)

作者： Khamespanah, Ehsan Mohaqeqi, Morteza Ashjaei, Mohammad Sirjani, Marjan Univ Tehran Tehran Iran Uppsala Univ Uppsala Sweden Malardalen Univ Vasteras Sweden

ISBN: (数字)9781665499965

ISBN: (纸本)9781665499965

Wireless sensor and actuator networks (WSAN) are real-time systems which demand timing requirements. To ensure this level of requirements, different timing analysis approaches have been proposed for WSAN systems. Among different alternatives, analytical analysis and model checking approaches are two common ones which are widely used for the timing analysis of WSAN systems. Analytical approaches apply worst-case response time analysis techniques, whereas model checking generates explicit states of models to analyze them. In this paper, we develop schedulability analysis techniques based on two approaches, i.e., analytical and model checking approaches. We apply and compare the proposed analysis approaches on WSAN systems with an application in monitoring and control of civil infrastructures implemented on the Imote2 wireless sensor platform. We show that the highest possible data acquisition frequency for this application is computed while meeting the deadlines, and compare the results of the two approaches in terms of scalability, extensibility, and flexibility.

关键词： Wireless communication Wireless sensor networks Scalability Data acquisition Model checking Real-time systems Timing

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Cutting-Edge Innovations in Biomedical Sensing technologies for Enhanced Remote Healthcare Monitoring

Cutting-Edge Innovations in Biomedical Sensing Technologies ...

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2024 international conference on Cybernation and Computation, CYBERCOM 2024

作者： Anusharani, V. Krishnan, M Mudhu Muthamizhan, T. Aijaz, Mohammad Guna, G. Department of Electronics and Instrumentation Engineering Chennai India R.M.K. Engineering College Department of Mechanical Engineering Chennai India Sri Sai Ram Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Kodada Institute of Technology and Science for Women Department of EEE Telangana Kodad508206 India Saveetha University Saveetha Institute of Medical and Technical Sciences Department of Electrical and Electronics Engineering Saveetha School of Engineering Chennai India

ISBN: (纸本)9798331542344

This study discusses the state-of-the-art advancements in approaches and systems of biomedical sensing used to implement distant healthcare monitoring. The performance and accuracy of wearable and implantable sensors as well as their compatibility with mHealth Apps is assessed in the study. The study includes the processing of data collected through wearable devices, implantable sensors, and health applications to evaluate sensor reliability, data aggregation, and system efficiency. As the study has demonstrated, wearable sensors such as heart rate sensors and activity sensors, both have close to perfect accuracy of 95% and, 92% respectively. Other implantable sensors, namely the glucose and pressure sensors, exhibit high accuracy levels of 97% and 96%, respectively, and a minimal latency level. The use of mobile health applications captures the data from the sensors in a very integrated manner with accuracy levels of 92-94%. These interactive conclusions stress the opportunity bestowed by biomedical sensing technologies in advanced chronic disease, eldercare, and other healthcare system arrangements. These and other innovations in the sectors of sensors, data merging, and artificial intelligence will furthermore improve the potential of remote monitoring systems. This paper establishes a foundation for the continuous development of biomedical sensing technologies, as a key constituent of remote health monitoring systems. © 2024 IEEE.

关键词： Glucose sensors

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Improved Model Architecture for Multi-Object Detection via Multi-sensor LiDAR and Camera Data Fusion

Improved Model Architecture for Multi-Object Detection via M...

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international conference on Machine Intelligence and Smart Innovation (ICMISI)

作者： Magdy, Sahar Youssef, Sherin Fathalla, Karma M. El Shehaby, Saleh Pharos Univ Comp Engn Dept Alexandria Egypt Arab Acad Sci & Technol Comp Engn Dept Alexandria Egypt Alexandria Univ Dept Biomed Engn Alexandria Egypt

ISBN: (纸本)9798350365740;9798350365757

Research on multi-object detection is becoming increasingly prominent in the field of object recognition because of breakthroughs in deep learning. Camera and LiDAR are sensor technologies utilized for object detection in diverse applications. They provide distinct benefits and drawbacks for object detection, contingent upon the specific scenario and requirements. In this paper, a new methodology is proposed integrating the advantages of both LiDAR and Camera sensors suppressing their disadvantages in detecting pedestrians. The LiDAR 3D points cloud is converted to a depth image before passing through the feature extraction stage. Deep learning Aggregation (DLA-34) with its hourglass shape is used to extract features from the depth image and the 2D image from the camera. Features from both images were fused through a parallel network of Pyramid Split Attention (PSA) mechanism before passing through the Feature Pyramid Network (FPN) for detecting pedestrians. The proposed model was tested on the benchmark NuScenes, KITTI and Waymo datasets. Accuracy, precision, recall, F1-score, and mAP are used to evaluate the proposed model. the proposed model outperformed the previous state of arts in terms of mAP reaching an improvement of 3% for car and truck object detection while reaching 9.5% mAP improvement for motorcycle object detection in Nuscenes dataset. For Waymo Dataset, the proposed model reached an improvement of 2%, in terms of AP for Vehicles detection in L1 difficulty, and 4% in L2 difficulty. Moreover, in KITTI dataset, the proposed model reached an improvement of 2.6% in Car detection for Medium difficulty.

关键词： component formatting style styling insert

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Ultra-Fast Core Mode Prediction in Plasmonic Crystal Fiber sensor: A Machine Learning Approach

Ultra-Fast Core Mode Prediction in Plasmonic Crystal Fiber S...

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2024 international conference on Innovations in Science, Engineering and Technology, ICISET 2024

作者： Mahmud, Mahmudul Hoque Hoque Maruf, Ariful Uddin, Mohammad Nasir Department of Computer Science Dhaka Bangladesh Institute of Information Technology University of Dhaka Dhaka Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350355499

This study introduces a novel approach to improving Photonic Crystal Fiber (PCF) Surface Plasmon Resonance (SPR) sensors by incorporating machine learning (ML) models for predicting core mode index. Traditionally, identifying core phenomena in PCF SPR sensors required manual visual inspection by experts, a process that is both time-consuming and prone to errors. To address this, a dual-core PCF model is developed and used Finite Element Method (FEM) simulations to create extensive training data for ML models. The proposed PCF model shows exceptional sensitivity to wavelength changes, with a recorded sensitivity of 6 0 0 0 nm/RIU, making it highly effective for accurate mode prediction. The study evaluated nine ML models, including XGBoost, Random Forest, and Decision Tree, achieving accuracies of 0.9742,0.9645, and 0.9667, respectively. By integrating ML models, the core mode identification process is significantly faster and more efficient, offering major benefits for PCF SPR research. This work not only advances PCF sensor technology but also enhances efficiency and accuracy in various SPR-based applications. © 2024 IEEE.

关键词： Surface plasmon resonance

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Artificial Intelligence Technique in Next Generation Healthcare Systems

Artificial Intelligence Technique in Next Generation Healthc...

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2024 IEEE international conference on Communication, Computing and Signal Processing, IICCCS 2024

作者： Pandey, Chetan Sharma, Sachin Bhadula, Shuchi Graphic Era Hill University Graphic Era Deemed to be University Department of Computer Science and Engineering Uttarakhand Dehradun India Graphic Era Deemed to be University Graphic Era Hill University Department of Computer Science and Engineering Uttarakhand Dehradun India Graphic Era Deemed to be University Department of Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350390759

Advancement of science and technology makes human life very comfortable, healthy, and little bit secure. Current technology like Body sensor Network, and Internet of Things, are making a healthcare system which is capable of detecting disease earlier on the basis of prior symptoms shown by the body. By using sensors we are now able to measure these symptoms like high or low blood pressure, body temperature, glucose level, heart beats, and more. Researchers are now incorporating the Artificial Intelligence with the next generation healthcare systems, making it a Self-Optimization system. In this paper, some advance technologies for healthcare system followed by some valuable artificial intelligence techniques are discussed. Based on some sorted research papers, author present a comparative analysis discussing about techniques used in next generation healthcare systems, objectives to achieve, and about the future aspects in terms of authors. Followed by these details, author also mention some applications, challenges and research trends in the field of healthcare system. © 2024 IEEE.

关键词： Body sensor networks

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MZI-based sensor for liquid recognition on the SiO2/TiO2 platform 29

MZI-based sensor for liquid recognition on the SiO2/TiO2 pla...

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29th conference on Integrated Optics - Devices Materials and technologies

作者： Polatynski, Andrzej Kazmierczak, Andrzej Stopinski, Stanislaw Slowikowski, Mateusz Wisniewski, Piotr Juchniewicz, Marcin Piramidowicz, Ryszard Richter, Andre VPIphoton GmbH Hallerstr 6 D-10587 Berlin Germany Warsaw Univ Technol Inst Microelect & Optoelect Koszykowa 75 PL-00662 Warsaw Poland VIGO Photon SA Poznanska 129 133 PL-05850 Ozarow Mazowiecki Poland LightHouse Sp Z oo Stefczyka 34 PL-20151 Lublin Poland Warsaw Univ Technol Ctr Adv Mat & Technol CEZAMAT Poleczki 19 PL-02822 Warsaw Poland

ISBN: (纸本)9781510684867;9781510684874

In addition to the telecom and datacom sectors, the photonic sensing sector is one of the fastest-growing markets for photonic integrated circuits (PICs). The ability to combine complex and multifunctional passive and active elements on a single photonic chip, along with the adaptability of the technological platform to specific applications, opens up opportunities to construct various structures tailored to specific purposes. One of the most popular solutions for PIC-based sensors involves the implementation of ring resonators. Unfortunately, these structures are highly sensitive to production variations, often causing issues with the predictability and repeatability of the entire sensing system. Promising alternatives to these elements are Mach-Zehnder interferometers (MZIs), which offer lower manufacturing variability and greater design flexibility, however, at the cost of increasing the final size of the PIC chip. In this work, we present and discuss the results of modeling and designing sensors based on MZI structures on a sol-gel-derived HYPHa (SiO2/TiO2) technological platform. Sol-gel aqueous phase deposition and the possibility of direct nanoimprinting of waveguide structures enable low-cost fabrication of integrated devices with low propagation loss. The study considers the impact of changes in the refractive index resulting from partial and/or complete coverage of the sensing area with the tested substance. Selective coverage of the sensor with the tested substance, although requiring an additional manufacturing process, allows for significant improvement in sensitivity. We tested both variants in several sensing systems, designed and fabricated for three different wavelengths in the visible and near-infrared regions (633, 1310, and 1550 nm), with the maximal sensitivity of over 32000 nm/RIU for the sensor designed for 1550 nm.

关键词： Photonic Integrated Circuits Integrated Optics Photonics Integrated sensor Mach-Zehnder Interferometer sensor Silica-Titania

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Performance Analysis of a Hybrid Algorithm for Lost Target Recovery in Wireless sensor Network 2nd

Performance Analysis of a Hybrid Algorithm for Lost Target R...

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2nd international conference on Advanced Network technologies and Intelligent Computing (ANTIC)

作者： Sankaliya, Alpesh Joshi, Maulin Gujarat Technol Univ Ahmadabad Gujarat India Sarvajanik Coll Engn & Technol Surat India

ISBN: (纸本)9783031281792;9783031281808

Constructing a successful framework for recovering a lost target is a well-researched problem in wireless sensor networks. Better target prediction algorithms can reduce the overall energy consumption of the network. These can be accomplished by carefully choosing the best nodes for continuous target monitoring situations. Traditional prediction algorithms, on the other hand, were limited to constant motion models and typically failed in fast target movements. Designing prediction algorithms for resource-constrained micro sensor nodes is typically a difficult issue, but neural networks' capacity to understand all non-linearity between input and output can be used. Recovery of the target after it has been lost in the network is one of the main problems with tracking applications. An efficient recovery method for applications involving linear and non-linear target tracking is presented in this paper. The suggested method learns the temporal correlation between subsequent samples of a target trajectory using Kalman and time delay neural network (TDNN) models. Hybrid method that further improvements in terms of energy efficiency are realized taking into consideration geometrical shapes (circle, contour) and velocity of target while executing recovery algorithms. A hybridization of the present framework is suggested using a direct broadcast-based technique for targets that have been lost for longer periods of time.

关键词： Wireless sensor network (WSN) Hybrid recovery algorithm Target tracking Efficient target recovery Loss target

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3.4 A 14b 98Hz-to-5.9kHz 1.7-to-50.8 μ W BW/Power Scalable sensor Interface with a Dynamic Bandgap Reference and an Untrimmed Gain Error of ± 0.26 % from -40°C to 125°C

3.4 A 14b 98Hz-to-5.9kHz 1.7-to-50.8 μ W BW/Power Scalable ...

引用

2024 IEEE international Solid-State Circuits conference, ISSCC 2024

作者： Tang, Zhong Liu, Yuyan Chen, Pengpeng Wang, Haining Yu, Xiaopeng Makinwa, Kofi A. A. Tan, Nick Nianxiong Vango Technologies Hangzhou China Zhejiang University Hangzhou China Delft University of Technology Delft Netherlands

ISBN: (纸本)9798350306200

To accommodate different use cases, the bandwidth (BW) and power dissipation of sensor interfaces for IoT applications should be highly scalable. For example, Coulomb counting requires precision current sensors with low BW and microwatt power for extended battery life, while AC battery impedance measurements require sensors with much higher BWs [1]. There is thus a need for precision ADCs that are BW/power scalable. Although SAR ADCs can easily scale their BW and power by changing their sampling frequency, they typically have a moderate resolution [2]. To achieve higher resolution, BW/power-scalable Delta-Sigma ADCs can be used [3]. In both cases, however, the ADC will typically be combined with an external band-gap reference (BGR) (Fig. 3.4.1 top left), which, in turn, requires power-hungry reference buffers and/or large decoupling capacitors to drive the ADC. © 2024 IEEE.

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Random-Access MAC Protocol applying Maximum Frame Aggregation for Delay-Constrained Packet Transfer in Wireless sensor Networks

Random-Access MAC Protocol applying Maximum Frame Aggregatio...

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2024 IEEE international conference on Consumer Electronics, ICCE 2024

作者： Matsuda, Risa Tanigawa, Yosuke Tode, Hideki Graduate School of Informatics Osaka Metropolitan University Department of Core Informatics Osaka Sakai599-8531 Japan

ISBN: (纸本)9798350324136

In wireless sensor network environments where many devices send periodically collected data to a sink node and are controlled by the sink under severe delay constraints, such as IoT for smart factories, it is necessary to transmit data while suppressing delay. In this paper, we propose Random-Access MAC Protocol for Delay-Constrained Packet Transfer in IEEE 802.11-based wireless LANs following Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA). Our proposal introduces maximum frame aggregation to delay-constrained packets preferentially on the basis of Carrier Sense Multiple Access with Enhanced Collision Avoidance (CSMA/ECA), developed for low latency transfer. Finally, we evaluate its effectiveness through computer simulations. © 2024 IEEE.

关键词： CSMA/CA CSMA/ECA Delay Constraint

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Underwater Acoustic sensor Network: Architecture, Challenges, Future Possibilities in the Perspective of IoT 2

Underwater Acoustic Sensor Network: Architecture, Challenges...

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2nd international conference on Electrical, Electronics, Information and Communication technologies, ICEEICT 2023

作者： Kumar, Kammula Sunil Anand, Veena National Institute of Technology Department of Computer Science and Engineering Chhattisgarh Raipur India

ISBN: (纸本)9798350397635

The Internet of Things (IoT) paradigm has gradually become prevalent in all facets of life. Due to advancements in academia, business and industry, it may be possible to apply IoT to underwater surroundings, which have an effect on human life as well. On the other side, Smart oceans are offering endless hidden treasures for all developing nations to improve the overall economy by exploring the marine resources for generating revenue, as the majority of the earth surface is covered by the water bodies. Underwater acoustic sensor network (UASN) is the enabling technology between smart oceans and IoT techniques, which helps in exploration of the marine environments with tiny sensor nodes, movable data carriers (AUV's) and earth surface data processing centers (BS) to give sensed marine information as a service to the IoT applications. Hence, this paper examines and reviews the UASN in terms of the network architecture, data propagation models, environmental considerations, topology management, boundary detection, routing methods, and the effect of node's energy in enhancing the network lifetime. Some experimental results of node localization issue and deployment issues are represented here to give an overview of the work done on the major challenges of UASN. We contrasted the currently available approaches and their benefits and drawbacks to highlight potential research avenues for further development of underwater sensor networks. © 2023 IEEE.

关键词： Internet of things

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