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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications XII"

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Power-of-Two Quantized YOLO Network for Pedestrian Detection with Dynamic Vision sensor 26

Power-of-Two Quantized YOLO Network for Pedestrian Detection...

引用

26th Euromicro conference on Digital System Design (DSD) / 49th Euromicro conference on Software Engineering and advanced applications (SEAA)

作者： Przewlocka-Rus, Dominika Kryjak, Tomasz AGH Univ Krakow Dept Automat Control & Robot Krakow Poland

ISBN: (纸本)9798350344196

Pedestrian detection algorithms have a wide range of applications: from video surveillance, to driver assistance systems and autonomous vehicles. The performance of these systems must be as high as possible, with minimal response time and, due to the often battery-powered operation (like in electric vehicles), low energy consumption. When designing such solutions, we therefore face challenges typical for embedded vision systems: the problem of fitting algorithms of high memory and computational complexity into small low-power devices. In this paper, we propose a system based on a Dynamic Vision sensor (DVS), which has low power requirements and operates well in conditions with variable illumination. It is these features that may make event cameras a preferential choice over frame cameras in some applications. To ensure high accuracy, for pedestrian detection we use the YOLO (You Only Look Once) deep network on event data representation. Due to the high complexity of the applied algorithm, we propose a low precision architecture: the weights of the convolution layers are quantized logarithmically to 4 bits powers-of-two values (PoT quantization). Such compression reduces not only the memory complexity by almost 8x, but also the computational complexity by replacing most multiplication operations with bit-shifting, due to use of powers-of-two weights. At the same time, the proposed system achieves the accuracy on par with the floating point baseline, of mAP0.5 0.708.

关键词： pedestrian detection logarithmic quantization power-of-two quantization energy efficiency embedded vision systems dynamic vision sensor

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Mm-wave wireless sensor networks with zero energy consumption thUough backscattering metasurfaces 25

Mm-wave wireless sensor networks with zero energy consumptio...

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25th International conference on Electromagnetics in advanced applications, ICEAA 2024

作者： Costa, F. Genovesi, S. Rodini, S. Manara, G. Dipartimento di Ingegneria dell’Informazione Università di Pisa Pisa56122 Italy

ISBN: (纸本)9798350360974

The future of 6G communications emphasizes a deep understanding of human environments for improved quality of life and work efficiency. IoT sensors will play a crucial role, gathering extensive data about living environments for tasks like environmental monitoring and structural oversight [1]. The success of these systems hinges on cost-effectiveness, energy efficiency, and minimal maintenance requirements. Traditional IoT sensors, despite advancements, still face challenges such as power consumption and limited lifespans, particularly in indoor settings where energy harvesting is difficult. RFID sensors offer potential with their ability to transmit data without additional power, but their cost and reliability in harsh environments pose barriers to widespread adoption [2]. © 2024 IEEE.

关键词： Environmental monitoring

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The Data Communication Transmitter and Receiver for a 5.8 GHz AIPAA MPT-sensor System by ICEt Technology 31

The Data Communication Transmitter and Receiver for a 5.8 GH...

引用

31st Asia-Pacific Microwave conference (APMC) - Microwave Linking the World

作者： Lin, Zhengdong Kobuchi, Daisuke Narusue, Yoshiaki Suda, Tamotsu Kawasaki, Shigeo Univ Tokyo Grad Sch Engn Tokyo Japan Space&Mobile Wireless Technol Inc Tokyo Japan

ISBN: (纸本)9781665494182

This paper presents the fabrication of an Active Integrated Phased Array Antennas (AIPAA) sensor system prototype utilizing Information, Communication & Energy transfer (ICEt) technology. Through the high-density integration of hardware components and software algorithms, this system enables adaptive adjustments in diverse scenarios, leading to optimal system performance. The proposed prototype demonstrates the capability to fulfill sensing, communication, and energy transfer tasks in various environments, including spacecraft exploration and river disaster warning systems. This research represents a significant step towards the development of advanced wireless sensor networks with ICEt technology for multifunctional applications.

关键词： Active integrated phased array antenna microwave power transmission wireless sensor networks

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A Risk Evaluation Method Before Using a Black-box Model Considering sensor Failure 12

A Risk Evaluation Method Before Using a Black-box Model Cons...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Yuan, Tangxiao Xu, Weilin Adjallah, Kondo H. Wang, Huifen Xu, Junshan Nanjing University of Science and Technology Nanjing210094 China Universite de Lorraine Lcoms Metz57078 Cedex 03 France

ISBN: (纸本)9798350358056

When developing an algorithm, data from sensors is often assumed to be perfect. However, sensors can fail, and a robustness function test alone may not be enough to convince customers to use a black-box in a critical durable system, because it doesn't take into account the impact of a wrong decision made by the black-box algorithm. A risk evaluation method has been proposed to assess the negative impact caused by sensor failure when using a black-box. The identification and quantification of sensor failures and risks are incorporated into the assessment process. This method has been proven useful through a case study of an access gate, where it was used to rank the importance of each sensor for the operator. © 2023 IEEE.

关键词： black-box risk sensor failure

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advanced Integration of 3D Optomechanical sensor Microsystems with Optical Fibers

Advanced Integration of 3D Optomechanical Sensor Microsystem...

引用

2024 IEEE sensors conference

作者： Chandrahalim, Hengky Williams, Jeremiah C. Air Force Inst Technol Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9798350363524;9798350363517

The ever-increasing demand for affordable, compact, and integrated sensors necessitates innovations that outperform traditional, bulkier counterparts. This paper introduces an advanced integration of 3D optomechanical sensor microsystems with optical fibers, using a two-photon nanomachining process. This technique enables the fabrication of complex 3D structures, including dynamic and movable features, unattainable through conventional photolithography. We present sensor microsystems incorporating resonant and non-resonant cavities, demonstrating exceptional sensitivity and operational range. The resonant microsensors offer heightened sensitivity to environmental conditions, while the non-resonant counterparts use rotating reflective microblades for precise flow sensing. Utilizing optical fiber as the substrate, these sensors transmit detected information in real-time to remote locations with minimal loss, eliminating the need for additional packaging, amplifiers, signal processing, and data transmission components. This innovative integration promises a new generation of highly sensitive, compact, and versatile sensor systems, ideal for contemporary engineering applications.

关键词： 3D optomechanical sensors optical fiber sensors optical fiber integration 3D microfabrication two-photon nanomachining resonant and non-resonant sensors

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A 32×32 SPAD LiDAR sensor with In-pixel Spatial-temporal Coincidence and Per-SPAD Pulse Delay for Resolution-lossless Imaging

A 32×32 SPAD LiDAR Sensor with In-pixel Spatial-temporal Co...

引用

2024 IEEE Asian Solid-State Circuits conference, A-SSCC 2024

作者： Chen, Bu Huang, Zhangcheng Wang, Jingyi Shang, Hongyang Lv, Hankun Liu, Qi Liu, Ming State Key Lab of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University China

ISBN: (纸本)9798350376326

Single-photon Avalanche Diode (SPAD)-based LiDAR technology finds significant applications in advanced driver assistance systems, etc. Extracting distance information necessitates creating a histogram from enormous frames to filter out the overwhelming background light (BGL) data. As the formats of SPAD pixel arrays scaling up [1], the processing, storage, and transmission of extensive data result in ultra-high power consumption and increased layout area. In order to reduce BGL, previous studies [2][3] [4] have leveraged spatial coincidence and histograms in pixels, and [5] utilized external double pulses to enhance the signal-to-noise ratio. However, a significant amount of data still needs to be processed within the sensor. To address these challenges, this paper presents a 32 × 32 SPAD LiDAR sensor that incorporates in-pixel spatial-temporal coincidence to effectively compress random background light and a per-SPAD pulse delay method to realize resolution-lossless imaging. This approach achieves an impressive 98.3% compression rate of background light under 100 klux illumination while maintaining a low power consumption of 14.6 μW per pixel. © 2024 IEEE.

关键词： advanced driver assistance systems

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A review on recent techniques developed for energy conservation in Wireless sensor Networks

A review on recent techniques developed for energy conservat...

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2023 International conference on Intelligent systems, advanced Computing and Communication, ISACC 2023

作者： Basumatary, Habila Chowdhuri, Rajib Deb Barma, Mrinal Kanti Tezpur University Department of Computer Science and Engineering Assam India National Institute of Technology Department of Computer Science and Engineering Agartala India

ISBN: (纸本)9798350399387

In modern days, with the fastest growing technology trends, the benefits of Wireless sensor Networks (WSNs) are also increasing rapidly. In these networks, very small-sized wireless sensor nodes are used widely which are capable of sensing and doing computations. These sensor nodes are resource-limited in nature i.e., they have limited storage capacity, power supply, computation capability, bandwidth, etc. WSNs are mostly used in outdoor application areas like environmental monitoring, land mines detections or different military applications where the power supply to the sensor nodes does the major role. In these applications, without any external power supply, the sensor nodes run the whole network by collecting data from its surroundings and also communicate these data to the end-user. Hence, conserving energy for the sensor nodes is one of the most challenging tasks in WSNs. In this paper, we have done detailed study on the existing literature which are proposed with the objective to improve the energy efficiency issue in WSNs. Here, we have selectively highlighted some of the recently proposed methodologies to understand the present research scenario. We have also shown comparative analysis on the techniques and tools which are used to propose these works and their variation of the results are discussed accordingly. © 2023 IEEE.

关键词： Energy efficiency

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BIBLIOMETRIC REVIEW OF SMART sensor FOR HEALTH MONITORING

BIBLIOMETRIC REVIEW OF SMART SENSOR FOR HEALTH MONITORING

引用

International conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Halim, Christian V. Marinah, Murti Shafira, Dinda A.I. Dwiyantara, Muhammad Y. Abadi, Imam Department of Physics Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781837242689

Smart sensors and medical health technologies are becoming increasingly popular due to their potential for real-time, noninvasive health monitoring and diagnostics. With the integration of Artificial Intelligence (AI), these devices can track vital signs and important biomarkers, supporting the management of chronic diseases. This study employs bibliometric analysis using tools like VOSviewer to map research trends in this domain, identifying collaborations, emerging keywords, and contributions from institutions and countries. Findings indicate a significant increase in publications and citations, especially after 2010, highlighting influential journals such as IEEE sensors Journal. The primary focus is on health monitoring applications and advancements in sensor technology, with an increasing use of terms like "machine learning" and "data analytics." These findings provide insights into future research directions and technological innovations that impact medical health applications. It is recommended that future development integrate advanced data processing techniques and apply sensors in infrastructure and smart city environments, aiming to create systems that are more responsive, efficient, and sustainable. © The Institution of Engineering & Technology 2024.

关键词： Electronic health record

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Sun-Powered Tactical Uniforms for Soliders in Military applications 10

Sun-Powered Tactical Uniforms for Soliders in Military Appli...

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10th International conference on advanced Computing and Communication systems, ICACCS 2024

作者： Anila, Chowdam Ashokkumar, N. Vittan, Eduru Joel Chowdary, Bheemaneni Uma Maheswara Subramani, Dhanya Sree Bala Balamanikandan, A. Electronics and Communication Engineering Andra Pradesh Tirupati517102 India

ISBN: (纸本)9798350384369

This endeavor presents an innovative Solar-Powered Tactical Uniform for Military use, incorporating Arduino technology along with an array of sensors and communication modules. The configuration includes an Arduino ATmega16a microcontroller, LCD display, a 70x70 solar panel, a 12V battery, a heart rate sensor, a temperature sensor, dual relays, a CPU fan, a Peltier module, a DHT11 humidity and temperature sensor, GPS, a GSM module, and push-button switches. The renewable energy captured by the solar panel is utilized to recharge the 12V battery, ensuring a constant power supply for the electronic components of the uniform. Real-time data on the LCD display is derived from the soldier's vital signs, which are monitored by the heart rate and temperature sensors. To improve soldier comfort, the Peltier module actively regulates temperature. During crucial scenarios, the system initiates the cooling process by activating the CPU fan and engages the GPS and GSM modules for both location tracking and communication purposes. Manual control is facilitated through push-button switches. This intelligent E-uniform seamlessly integrates energy-efficient features, health monitoring, and communication capabilities, showcasing its ability to improve soldier well-being and enhance situational awareness in field operations. © 2024 IEEE.

关键词： Liquid crystal displays

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Machine Learning for sensor-Based Handwritten Character Recognition: A Brief Survey 21st

Machine Learning for Sensor-Based Handwritten Character Reco...

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21st International conference on Distributed Computing and Intelligent Technology

作者： Singh, Shashank Kumar Chaturvedi, Amrita IIT BHU Dept Comp Sci & Engn Varanasi 221005 Uttar Pradesh India

ISBN: (纸本)9783031814037;9783031814044

Handwriting recognition technologies have evolved significantly, with recent advancements incorporating wearable devices such as smartpens, smartwatches, and smartphones to capture motion and gesture data. This paper reviews various efficient handwriting recognition models that utilize inertial sensors, visual sensors, EMG sensors, and acoustic and Wi-Fi signals. Inertial sensor-based approaches often use accelerometers and gyroscopes to collect three-dimensional data during handwriting, with models achieving high accuracy in recognizing digits and alphabets. Visual sensor-based techniques, leveraging cameras and image processing, have been fundamental in developing Optical Character Recognition (OCR), further enhanced by deep learning algorithms. EMG sensors have been explored for their potential to capture muscle activity for gesture recognition. At the same time, acoustic and WiFi signal-based methods offer innovative ways to recognize handwriting through sound and signal variation. Despite the progress, challenges such as sensor drift, data generalization, and computational requirements persist. Integrating multi-modal sensors and advanced machine learning techniques holds promise for overcoming these limitations and improving the accuracy and usability of handwriting recognition systems across diverse applications.

关键词： Inertial sensor Machine Learning Visual sensors

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