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检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8166 条记录，以下是961-970 订阅

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Energy-Efficient Autism Spectrum Disorder Data Collection Mechanism using Wireless sensor networks and Internet-of-things 5

Energy-Efficient Autism Spectrum Disorder Data Collection Me...

引用

5th IEEE international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2025

作者： Vijaya Shetty, S. Srujana, S.N. Naidu, P. Ramesh Neeli, Jyoti Sarojadevi, H. Prakash, Ramya Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Karnataka Bengaluru India

ISBN: (纸本)9798350356236

A patient's cognitive health may be better assessed using smart monitoring and assisted living technologies. Social skills, repetitive habits, verbal and nonverbal communication, and adjusting to new environments are among the challenges children on the autism spectrum face. Because of their reduced cognitive capacities, children with autism spectrum disorder (ASD) present a significant public health challenge because it is difficult to comprehend their feelings. the main purpose of this research is to assist autistic newborns in adapting to their environment via Internet-of-things (IoT) technologies and wireless sensor networks. the study indicates an Internet of things (IoT)-WSNs system for data collection, using an energy-efficient cluster-based routing optimization (EECRO) method that sends data to an IoT gateway server as quickly as possible, allowing the guardian to access the data in real-time. the simulation outcome indicates the EECRO can significantly reduce energy consumption to deliver messages from autistic children to their guardians. © 2025 IEEE.

关键词： Assisted living

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An Insight on Artificial Intelligence (AI) and Internet of things (IoT) driven Hydroponics Farming

An Insight on Artificial Intelligence (AI) and Internet of T...

引用

Image processing and Capsule networks (ICIPCN), international conference on

作者： Narendra Singh Bhandari Nisha Bhandari Rashi Agarwal Pradeep Kumar Sharma School of Agriculture Graphic Era Hill Univesity Bhimtal Campus India Department of CSE Graphic Era Hill Univesity Bhimtal Campus India Department of Environment Science Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798350367171

ISBN: (纸本)9798350367188

A country’s economy and prosperity are substantially impacted by agriculture as food is the necessity for human beings. the aim of this study is to solve the issues like shortage of quality foods especially horticultural crops that are essential for leading a healthy lifestyle. the practices of modern farming that includes soil-less cultivation can be an alternate way to overcome the problems that farmers are facing in traditional way execution of insightful hydroponics system that uses Artificial Intelligence (AI) and Internet of things (IoT). Factors like pH of nutrient solution, CO 2 , light, temperature, relative humidity, Electrical Conductivity (EC) can be monitored on daily basis using advance sensors in hydroponic system for efficient utilization of precious natural resources that leads to sustainable agriculture to meet out the future demand of agriculture commodities.

关键词： Temperature sensors Urban areas Hydroponics Agriculture sensor systems Internet of things Artificial intelligence

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Enhanced Security-Aware Beamforming and Trajectory Design for UAV-Assisted Integrated Sensing and Communication

Enhanced Security-Aware Beamforming and Trajectory Design fo...

引用

sensors and Information Technology (ICSI), international conference on

作者： Zeyu Yang School of Information Engineering Guangdong University of Technology Guangzhou China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Integrated Sensing and Communication (ISAC) en-ables simultaneous sensing and communication functions and is regarded as a cutting-edge technology for future mobile networks. In this paper, we propose a UAV-enabled joint sensing and communication (ISAC) system, where the UAV serves as a base station. In the presence of eavesdroppers, the system aims to ensure that multiple sensing targets are effectively illuminated while maximizing the sum of achievable secrecy rates for multiple communication users under secure communication constraints. To achieve this, we develop a solution based on alternating optimization (AO) and successive convex approximation (SCA). Simulation results validate the effectiveness of the proposed method, demonstrating its ability to balance communication and sensing requirements while significantly enhancing communication security.

关键词： Array signal processing Simulation Radar Physical layer security Integrated sensing and communication Autonomous aerial vehicles Vectors Security Trajectory optimization sensor arrays

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Deep Learning Based Direction of Arrival Estimation of Multiple Targets 5

Deep Learning Based Direction of Arrival Estimation of Multi...

引用

5th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2022

作者： Xu, Saiqin Chen, Baixiao Lian, Hao Guo, Zheming Xidian University National Laboratory of Radar Signal Processing Xi'an China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

We develop a deep learning framework for Direction of Arrival (DOA) estimation. the sparse power spectrum inspires us, and the first shows that the columns of the array covariance matrix can be formulated as undersampled linear measurements of the spatial spectrum. Secondly, we introduce a Deep Neural Network (DNN) that learns potential inverse transformation from large training dataset. Our proposed DNN-based framework provides a larger aperture with a small number of antennas. Moreover, we reduce the hardware complexity and allow reconfig-urability of the receiver channels. Our solution is able to estimate a number of closely spaced targets larger than the number of receiver channels. through numerical simulations, our proposed method overmatches the most advanced DOA estimation methods based on deep learning, particularly with limited snapshot and low signal-to-noise ratio (SNR) situations. © 2022 IEEE.

关键词： Deep neural networks

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Analysis and Design of Refractive Index sensor Based on Waveguide Coupling

Analysis and Design of Refractive Index Sensor Based on Wave...

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Intelligent Control, Measurement and Signal processing and Intelligent Oil Field (ICMSP), international conference on

作者： Qiang Wang Chuanhui Zhu Shubin Yan Taiquan Wu School of Electrical and Control Engineering North University of China Taiyuan China School of Electrical Engineering Zhejiang University of Water Resources and Electric Power Hangzhou China

this paper presents a new refractive index sensor based on the Fano resonance in optical phenomena. the sensor has two main parts: a metal-insulator-metal (MIM) as the base waveguide and a V -shaped ring resonant cavity with a convex outer ring (VRROR) as the coupling structure. the sensing characteristics of the structure are rationalized by applying the finite element method, and the specific effects of the various parameters in the structure on the sensitivity(S) and superiority of the VRROR are analyzed. the final sensitivity of the VRROR type sensor reaches 2960 nm/RIU, and the figure of merit (FOM) under the corresponding system reaches 51.3.

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LTE networks with Horizontal T-shaped Patch Antenna for Wearable Medical Devices 5

LTE Networks with Horizontal T-shaped Patch Antenna for Wear...

引用

5th international conference on Contemporary Computing and Informatics, IC3I 2022

作者： Sharma, Preety Sharma, Ratish Chandigarh School of Business Department of Master of Computer Application Jhanjeri India Sanskriti University Department of Hotel Management Uttar Pradesh Mathura India

ISBN: (纸本)9798350398267

Daily mhealth is among the most frequent and challenging duty in wireless body sensor networking Wsns tech. A low surface oral bioavailability (SAR) value and excellent communication in a sensor system are the main objectives of the important applications. With its distinctive shapes and great discoveries, an antenna has become one of the most popular types of communication devices in the digital age. the design strategy is suitable for adding a new parallel F1 slot to a wearable applications patch antennas UWB microstrip antennas. the antenna been generated using a higher stability simulator employing a textile substrate made of denim. the developed antenna has a 4dB permissible gain and resonates @7.7GHz. Heterodyne measurements of the reflection coefficient revealed that the antenna had such a decent return loss, improved spectrum, high VSWR of 1.05, and a concentration rate SAR number of less than 2W. the result demonstrates that the suggested design complies only with specifications for a cotton wearable antenna in use for continuous healthcare monitoring in the wireless body area net, sports, or commercial applications. © 2022 IEEE.

关键词： Microstrip antennas

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A Near-Field Super-Resolution thz sensor Utilizing Micro-Coaxial processing

A Near-Field Super-Resolution THz Sensor Utilizing Micro-Coa...

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IEEE international conference on Circuits and Systems (ICCS)

作者： Hui-Rui Zhang Zhen-Yu Ding Bing Wu Guo-Qiang He School of Communication and Information Engineering Shanghai University Shanghai China Key Laboratory of Specialty Fiber Optics and Optical Access Networks and the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai China

this paper presents a super-resolution near-field sensing probe designed by micro-coaxial. Utilizing waveguide micro-coaxial to confine terahertz (thz) waves within transmission lines and guide them to the tip of a probe, which can effectively enhance the dynamic range and reduce transmission losses in free space. It is designed for easy integration, with probe dimensions of $\mathbf{0.9}\ \mathbf{mm}\times \mathbf{0.9}\ \mathbf{mm}\times \mathbf{5.4}\ \mathbf{mm}$ . the sensor designed operates at 90 GHz realizing spatial resolution of $\mathbfth\ \boldsymbol{\mu} \mathbf{m}$ , about 1/165 of a wavelength. this sensor can achieve $\mathbf{100}\ \boldsymbol{\mu} \mathbf{m}$ response distance and 16 dB dynamic range, respectively. Micro-coaxial probes utilize copper as the metal conductor and air as the dielectric materials of transmission.

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Stochastic Channel Decorrelation Network and Its Application to Visual Tracking 5

Stochastic Channel Decorrelation Network and Its Application...

引用

5th international conference on Pattern Recognition and Artificial Intelligence, PRAI 2022

作者： Guo, Jie Xu, Tingfa Jiang, Shenwang Shen, Ziyi Nanjing Research Institute of Electronics Technology Signal and Information Processing Department Nanjing China Beijing Institute of Technology School of Optical Engineering Beijing China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

Deep convolutional neural networks (CNNs) have dominated many computer vision domains because of their great power to extract good features automatically. However, many deep CNNs-based computer vison tasks suffer from lack of training data while there are millions of parameters in the deep models. Obviously, these two biphase violation facts will result in parameter redundancy of many poorly designed deep CNNs. therefore, we look deep into the existing CNNs and find that the redundancy of network parameters comes from the correlation between features in different channels within a convolutional layer. To solve this problem, we propose the stochastic channel decorrelation (SCD) block which, in every iteration, randomly selects multiple pairs of channels within a convolutional layer and calculates their normalized cross correlation (NCC). then a squared max-margin loss is proposed as the objective of SCD to suppress correlation and keep diversity between channels explicitly. the proposed SCD is very flexible and can be applied to any current existing CNN models simply. Based on the SCD and the Fully-Convolutional Siamese networks, we proposed a visual tracking algorithm to verify the effectiveness of SCD. © 2022 IEEE.

关键词： Redundancy

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C-ESRGAN: Synthesis of super-resolution images by image classification 5

C-ESRGAN: Synthesis of super-resolution images by image clas...

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5th IEEE international conference on Image processing Applications and Systems (IPAS)

作者： Liu, Jingan Chandrasiri, Naiwala P. Kogakuin Univ Intelligent Media Lab Tokyo Japan

ISBN: (纸本)9781665462198

With the development of deep learning, super-resolution image synthesis techniques for enhancing low-resolution images have advanced remarkably. However, mainstream algorithms focus on improving the quality of the entire image on average and this may result in blurring. In this paper, we propose three key components for synthesizing super-resolution images that can reflect the fine details of an image. We synthesize super-resolution images by image classification. First, the neural network weights learned using the images in the same image category were utilized in synthesizing super-resolution images. For this purpose, image classification was performed using a transfer-trained ResNet. Second, SENet was applied to the generators in our proposed method to obtain detailed information about the images. Finally, the feature extraction network was changed from VGG to ResNet in order to get more important features. As a result, we achieved better image evaluation values (PSNR, NIQE) for the super-resolution images of dogs and cats compared to the previous studies. Furthermore, the images were generated more naturally on the benchmark dataset.

关键词： Super-Resolution Generative Adversarial networks (GANs) SENet Image Classification ResNet

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the Real-Time Monitoring and Control of Intelligent sensor networks in Electrical Automation

The Real-Time Monitoring and Control of Intelligent Sensor N...

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Computer Engineering and Intelligent Control (ICCEIC) international conference on

作者： Xiuzhen Zhou Wuhan Polytechnic Hubei Wuhan China

ISBN: (数字)9798331507992

ISBN: (纸本)9798331508005

In order to understand the real-time monitoring and control of intelligent sensor networks in electrical automation, a research based on intelligent sensor networks for real-time monitoring and control in electrical automation has been proposed. this paper first utilizes the intelligent sensor nodes of the intelligent sensor network in the system data layer to collect signal data of building electrical equipment, enabling the central node to gather and integrate the collected data. Secondly, the Zigbee intelligent network at the communication layer is used to aggregate the data integrated by the central node into an internal gateway, which uploads the data to the application foundation platform at the application layer. Finally, the experimental results indicate that setting the number of cluster heads in the intelligent sensing network to 25 can achieve an ideal network node lifespan; this system can accurately diagnose the type of fault, identify the location of the fault, and effectively save energy consumption of building electrical equipment.

关键词： Energy consumption Automation Scalability Buildings Zigbee Logic gates Real-time systems Safety Intelligent sensors Monitoring

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