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检索条件"任意字段=Intelligent Sensors, Sensor Networks and Information Processing Conference"

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Grating Lobe Suppression in MIMO Radar networks using Kaiser-Kalmus Sum-Difference Beam Cancellation

Grating Lobe Suppression in MIMO Radar Networks using Kaiser...

引用

Signal, information and Data processing (ICSIDP), IEEE International conference on

作者： Ke Zhao Jun Wang Bin Yang Jiacheng He Xueyin Geng School of Electronic and Information Engineering Beihang University Beijing China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

MIMO radar networks are composed of multiple separated MIMO sensors and each radar sensor can be viewed as a subarray. Although the MIMO radar networks can obtain a larger virtual aperture, excessive node or subarray spacing will lead to a wider grating lobe distribution. In order to solve the grating lobe problem, this paper proposes a Kaiser-Kalmus sum and difference beam cancellation method, which uses subarray beam to suppress array factor’s grating lobes. In the MIMO radar networks imaging scenario, the effectiveness of this algorithm was verified through simulation and experiments.

关键词： MIMO radar Imaging Radar Radar imaging Apertures information filters Data processing sensors Gratings

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Continuous Multi-user Activity Tracking via Room-Scale mmWave Sensing

Continuous Multi-user Activity Tracking via Room-Scale mmWav...

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International Symposium on information processing in sensor networks (IPSN)

作者： Argha Sen Anirban Das Swadhin Pradhan Sandip Chakraborty IIT Kharagpur India NIIT University India Cisco Systems USA

ISBN: (数字)9798350362015

ISBN: (纸本)9798350362022

Continuous detection of human activities and presence is essential for developing a pervasive interactive smart space. Existing literature lacks robust wireless sensing mechanisms capable of continuously monitoring multiple users’ activities without prior knowledge of the environment. Developing such a mechanism requires simultaneous localization and tracking of multiple subjects. In addition, it requires identifying their activities at various scales, some being macro-scale activities like walking, squats, etc., while others are micro-scale activities like typing or sitting, etc. In this paper, we develop a holistic system called MARS using a single Commercial off-the-shelf (COTS) Millimeter Wave (mmWave) radar, which employs an intelligent model to sense both macro and micro activities. In addition, it uses a dynamic spatial time-sharing approach to sense different subjects simultaneously. A thorough evaluation of MARS shows that it can infer activities continuously with an accuracy of > 93% and an average response time of ≈ 2 sec, with 5 subjects and 19 different activities.

关键词： Wireless communication Mars Wireless sensor networks Accuracy Millimeter wave radar Radar tracking sensors

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Research on WSN coverage optimization based on Improved PSO Algorithm 7

Research on WSN coverage optimization based on Improved PSO ...

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7th International conference on intelligent information processing, ICIIP 2022

作者： Zhao, Cui Hao, Yuran Wuhan Business University China Operation Branch of Zhengzhou Metro Group Co.LTD China

ISBN: (纸本)9781450396714

When PSO algorithm is applied to coverage optimization in wireless sensor networks, there will be some problems, such as slow convergence and premature phenomenon. To solve these problems, this paper proposes a wireless sensor network optimization algorithm based on standard PSO algorithm. The algorithm effectively improves the coverage rate of WSN network by improving the inertia weight and learning factor. Through simulation and analysis of the optimized coverage effect and convergence of coverage rate, the results show that the improved algorithm is better than the standard PSO algorithm and the improved algorithm in literature [4] in convergence speed and accuracy, and improves the problems of premature and slow convergence. © 2022 ACM.

关键词： Wireless sensor networks

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PSO Optimization Algorithm for QoS Enhancement in IoT-Enabled WSNs

PSO Optimization Algorithm for QoS Enhancement in IoT-Enable...

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International conference on Artificial Intelligence and Smart Environment, ICAISE 2022

作者： Benelhouri, Abdelkader Idrissi-Saba, Hafida Antari, Jilali Laboratory of Metrology and Information Processing Faculty of Science Ibn Zohr University B.P. 8106 Agadir Morocco Laboratory of Computer Systems Engineering Mathematics and Applications Ibn Zohr University Polydisciplinary FacultyB.P. 271 Taroudant83000 Morocco

ISBN: (纸本)9783031262531

Through the recent progress in the field of microelectronics and the emergence of wireless communication technologies, wireless sensor networks (WSNs) have seen the light of day. However, one of the major problems of this type of networks is the energy efficiency. The overage is also a key problem as it determines the ability of a set of sensors to monitor a geographic area efficiently. In order to improve network deployment and throughput, this paper proposes a PSO-based approach to deploy nodes and select cluster heads efficiently. The suggested work has undergone significant QoS experimentation in a variety of scenarios. The results of this algorithm are investigated by implementing the Mod-LEACH algorithm in the data routing process. It is concluded that the PSO based clustering algorithm enhances the network throughput by improving nodes emplacement. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Microelectronics

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Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling 39

Infrastructure-Enabled Autonomy: An Attention Mechanism for ...

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IEEE International conference on Robotics and Automation (ICRA)

作者： Dax, Victoria Magdalena Kochenderfer, Mykel J. Senanayake, Ransalu Ibrahim, Umair Stanford Univ Stanford Intelligent Syst Lab Stanford CA 94305 USA Ford Motor Co Dearborn MI USA

ISBN: (纸本)9781728196817

Although there has been tremendous progress in autonomous driving, navigating environments and predicting the behavior of other drivers in the presence of occlusions remains challenging. Cities have started investing in infrastructure sensors that could provide information about occluded spaces. We propose a framework that integrates infrastructure-to-vehicle communication in autonomous vehicle decision making, improving operational safety and mobility in challenging environments. By framing the problem as a partially observable Markov decision process in which querying an infrastructure sensor is a data-gathering action, we reduce the computational complexity associated with sensor processing while maintaining equivalent performance compared to an omniscient actor and demonstrate the value of infrastructure communication through a series of experiments.

关键词： Scalability Roads Decision making Urban areas sensor phenomena and characterization Behavioral sciences Safety

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Parallel processing of Large-Scale Point Cloud Data for Connected and Automated Mobility – A Survey

Parallel Processing of Large-Scale Point Cloud Data for Conn...

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International conference on information and Communication Technology Convergence (ICTC)

作者： Byeongrok Min Junhyeong Ryu Yongseok Son Sungrae Cho Jeongyeup Paek Department of Computer Science & Engineering Chung-Ang University Seoul Republic of Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

In the rapidly advancing fields of autonomous driving, advanced driver assistance systems (ADAS), and intelligent transportation systems (ITS), the use of light detection and ranging (LiDAR) sensors is essential for accurately detecting distances to surrounding objects. However, single LiDAR sensors face limitations such as occlusions caused by surrounding objects. To address these issues, cooperative perception technologies that utilize point cloud data from multiple vehicles have been explored. Despite these advancements, efficiently processing the large-scale, complex point cloud data generated by multiple vehicles remains a challenge. This paper surveys recent developments in parallel processing techniques for managing and processing large-scale point cloud data. These advancements are crucial for enhancing the performance of autonomous driving and ITS, enabling more efficient and scalable processing of point cloud data on the road.

关键词： Point cloud compression Surveys Three-dimensional displays Laser radar Roads Parallel processing sensor systems Autonomous vehicles intelligent transportation systems intelligent sensors

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Big Data processing for Bulgarian Healthcare - Smart Cards and Some Simulating Decisions 8

Big Data Processing for Bulgarian Healthcare - Smart Cards a...

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8th International conference on Big Data, Knowledge and Control Systems Engineering, BdKCSE 2023

作者： Boneva, Ani Ivanova, Veronika Vasilev, Plamen Ivanov, Stoyan Ivanova, Tsvetelina Institute of Information and Communication Technologies Bulgarian Academy of Sciences Department of Communication Systems and Services Sofia Bulgaria Institute of Robotics Bulgaria Academy of Sciences Department of Robotized and Mechatronics Intelligent Systems Sofia Bulgaria University of Chemical Technologies and Metallurgy Department of Industrial Automation Sofia Bulgaria

ISBN: (纸本)9798350313246

This publication presents a review of the application of large databases (Big Data) in medicine. The aim of the work is to provide some positive guidelines for the optimization of health care and improvement of patient care in Bulgaria. Therefore, the article discusses designed applications that can find their place in various fields of medicine. Our proposed optimization is the introduction of electronic chip cards. The development assumes that each patient will be provided with a processor card carrying information about basic data related to the condition and its personalization and possible access to this data when necessary. Thus, the proposed solution provides an opportunity to upgrade (for the future) and build an information system with a connection to the health fund. In addition, an early-stage project is described to integrate data from personal portable devices with the electronic health record, thereby providing information to medical personnel about the individual's health status. Portable personal devices and other non-medical equipment generate a huge, almost continuous flow of data that can be useful in making decisions regarding the treatment of patients with various health conditions. The applications described are a continuation of the team's previous developments. © 2023 IEEE.

关键词： intelligent systems

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Assistive Glasses Using Ultrasonic sensors for Visually Impaired Individuals

Assistive Glasses Using Ultrasonic Sensors for Visually Impa...

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Ubiquitous Computing and intelligent information Systems (ICUIS), International conference on

作者： J Jesy Janet Kumari Saba Fatima Surya Ramesh Zain Moosaraza Dept of Computer Science and Engineering The Oxford College of Engineering Bangalore Visvesvaraya Technological University Belagavi Karnataka India

ISBN: (数字)9798331529635

ISBN: (纸本)9798331529642

To provide an efficient solution to the difficulty in navigation faced by the visually impaired, this paper presents a device built on the principle of object detection. This model utilizes ultrasonic sensors to detect an object that is present in front of the visually impaired individual. This device is built using Arduino Nano which serves as a processing unit, a battery as a power source, a buzzer for feedback audio cues, and an ultrasonic sensor that detects obstacles. The prototype is then implemented on a pair of glasses which makes it easy to use in everyday life. This is a portable, economical, and easy-to-use device that helps in safe indoor and outdoor navigation of the visually impaired thus, fulfilling the needs of visually impaired individuals.

关键词： Navigation Prototypes Glass Object detection Ubiquitous computing Acoustics sensor systems Nanoscale devices Internet intelligent sensors

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A Method for Synthesis of Mismatched Filters Providing Large Zero Correlation Zones

A Method for Synthesis of Mismatched Filters Providing Large...

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International conference on information Technologies (InfoTech)

作者： Borislav Yordanov Bedzhev Dilyan Ivanov Dimitrov Department of Communication Networks and Systems Faculty of Artillery Air-Defense and Communication-Information Systems Vasil Levski National Military University Shumen Bulgaria

ISBN: (数字)9798350365689

ISBN: (纸本)9798350365696

In the paper a new method for synthesis of mismatched filters for processing the echo-signals in the radar sensors, working in pulse mode, is substantiated. The developed methods could be useful for enhancing the performance effectiveness of the radar sensor networks, exploited today widely in all spheres of industry, transportation and civil protection.

关键词： Industries Filters Transportation Radar sensor phenomena and characterization Radar signal processing Protection Probes information technology Zero correlation zone

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An intelligent LoRa-Based Wireless sensor Network Mesh Architecture to Improve Precision Agriculture

An Intelligent LoRa-Based Wireless Sensor Network Mesh Archi...

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International conference on Electrical and Electronics Engineering, ICEEE 2023

作者： Shaikh, Aman Shelke, Maya Rai, Satayush Rao, Pranil Ashok Shinde, Ganesh Department of Information Technology JSPM Rajarshi Shahu College of Engineering Pune India

ISBN: (纸本)9789819982882

In today’s world with evolving dynamics brought into the field of agriculture, there have been quite a few advancements unified into agrarian practices by the incorporation of modern technologies and methods. IoT, AI/ML, and other such technologies are sweeping the entire globe due to their ability to provide precise, reliable, consistent, and accurate outcomes to make data-driven decisions. Integration of IoT and ML models in order to perform data analytics was a natural choice made to have a rigorous improvement in the farm's yield quantity and quality with the intention to go above and beyond in terms of meeting the food demand. This survey intends to showcase how the culmination of various aspects of agrarian necessities cooperates for the synchronization of computational capabilities provided by the ML models and data generated via the use of IoT sensors, communicated over the LoRa-based WSN networks. This paper proposes an integrated system based on a three-tier architecture that incorporates ML and IoT systems to process data for yield prediction and is consequently further used to generate a visual representation of the outcome. A novel approach to ensure the sustainability of yield both in terms of production and grading standards has been presented. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Network architecture

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