检索结果-内蒙古大学图书馆

International conference on ent Computing and Control Systems (ICICCS)

作者： Vijayashaarathi S Saranya K Dhivyadharsan R Akilesh S Sasirekha N Hari Rajkumar J Department of ECE Sona College of Technology Salem India Department of ECE Sona College of Technology Salem Tamil Nadu India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

Smart agriculture could increase output while preserving resources in the face of rising global food demand and environmental concerns. This project's objective is to develop a smart agriculture system that uses DHT11 sensors, ESP32 microcontrollers, and soil sensors to track important environmental data including temperature, humidity, and soil moisture. Real-Time data collection from the sensors is done by the ESP32 microcontroller, which serves as the central processing unit. While the DHT11 sensor detects temperature and humidity, two critical elements affecting plant growth and health, the soil sensor offers information on soil moisture levels, assisting in effective irrigation management. The ESP32 microcontroller is programmed using Arduino, which permits the sensors to be integrated seamlessly and makes data gathering and processing easier. After being gathered, the data is sent to the cloud-based IoT platform Thing Speak for analysis and visualization. Farmers can remotely obtain important information about the environmental conditions of their crops by utilizing this smart agriculture technology. This makes it possible to take prompt action, make the most use of available resources, and eventually increase agricultural yield and quality.

关键词： Temperature sensors Smart agriculture Cloud computing Microcontrollers Soil moisture Crops Humidity Internet of Things intelligent sensors Farming

来源：评论

学校读者我要写书评

暂无评论

1st International conference on Advanced Communication and intelligent Systems, ICACIS 2022

1st International Conference on Advanced Communication and I...

引用

1st International conference on Advanced Communication and intelligent Systems, ICACIS 2022

ISBN: (纸本)9783031250873

The proceedings contain 69 papers. The special focus in this conference is on Advanced Communication and intelligent Systems. The topics include: Prediction of Glaucoma Using Deep Learning Based Approaches;detection of Parkinson’s Disease Through Telemonitoring and Machine Learning Classifiers;implementation of Smart Contract Using Ethereum Blockchain;prediction of Compressive Strength of Geopolymer Concrete by Using Random Forest Algorithm;cardiovascular Disease Prognosis and Analysis Using Machine Learning Techniques;Cardiac Disease Detection Using IoT-Enabled ECG sensors and Deep Learning Approach;Critical Evaluation of SIMON and SPECK BLOCK Cipher for Different Modes of Operation;an Analysis on the Methods for Water Quality Prediction from Satellite Images and Camera Images;energy Efficient Routing in Wirelss sensor Network for Moving Nodes Using Moth Flame Algorithm Compared with Vector Based Routing;experiments with Big Semi-Structured Data Analytics for Digital Marketing;augmented Reality Using Gesture and Speech Accelerates User Interaction;survey and Performance Evaluation of Clustering and Cooperative Medium Access Protocols for Vehicular networks;Improve CNN Model Agro-Crop Leaf Disease Identification Based on Transfer Learning;Per User Based Multi Threshold Scheduling for BER Improvement Compared to Priority Scheduling in MU-MIMO networks;cervical Cancerous Cell Detection Using Enhanced Classification and Embedded Deep Learning Method;Hybridization of AES and RSA Algorithm in File Encryption Using Parallel Computing;Lightweight Trust Aware Hybrid Key Management Scheme for WSN to Reduce the Energy Consumption in Comparison with TERP and LTB-AODV;A Comparative Analysis of SIW Bandpass Filters Loaded with Different Shapes of DGS-DMS for Satellite Communication;AI Based Interactive System-HOMIE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

LoRaWAN Performance Evaluation and Resilience under Jamming Attacks 11

LoRaWAN Performance Evaluation and Resilience under Jamming ...

引用

11th sensor Signal processing for Defence conference (SSPD)

作者： Kalokidou, Vaia Nair, Manish Beach, Mark A. Univ Bristol Commun Syst & Networks Grp Bristol England

ISBN: (数字)9781665483483

ISBN: (纸本)9781665483483

There is an increasing deployment of Internet-of-Things (IoT) networks, from smart meters and smart lighting to humidity soil sensors and medical wearable devices. Long Range (LoRa) is one such over-the-air (OTA) transmission IoT standard, having a wide range of applications in smart cities, agriculture and health. It facilitates the inter-connection of services and smooth exchange of information. However, owing to its wireless interface, it is susceptible, as all wireless networks are, to OTA attacks. In this paper, we initially obtain the Bit Error Rate (BER) and Packet Error Rate (PER) of LoRa, in order to investigate the impact of continuous and reactive jamming attacks on it. We show that overall, LoRa can achieve a good performance even under a jamming attack, subject to parameters such as the transmit power, the Spreading Factor (SF) and the Coding Rate (CR). Moreover, it is proven that the impact on BER and PER is similar irrespective of whether the attack occurs with total frame synchronization or is synchronized to after the preamble transmission. Lastly, we apply a detection scheme, based on previous values of Received Signal Strength Indicator (RSSI) and PER to successfully identify malicious attacks.

关键词： LoRa LoRaWAN PHY Security Jamming

来源：评论

学校读者我要写书评

暂无评论

Multimodal Iontronic Tactile sensor with intelligent Decoupling Method

Multimodal Iontronic Tactile Sensor with Intelligent Decoupl...

引用

IEEE International conference on Mechatronics and Automation

作者： Chenxing Mu Funing Hou Mengqi Shi Gang Li Jixiao Liu Shijie Guo School of Mechanical Engineering Hebei University of Technology Tianjin China Academy for Engineering & Technology Fudan University Shanghai China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

The iontronic tactile sensor is a promising device for the robot to perceive temperature and pressure information. However, there was no suitable method to decouple the multimodal information from readout signals, due to complicated impedance response features. Hence, we fabricated a film as a sensing layer to make a tactile sensor. Then, the impedance response features, stimulated by temperature and pressure, were analyzed. After that, a machine learning method was used to decouple the readout signals, where three neural networks were compared. Furthermore, we conducted a primitive hot water weighting experiment to demonstrate the decoupling performance. This study provided a method to get temperature and pressure information from a single iontronic sensing layer, which has potential benefits in various scenarios such as human-robot interaction and health care.

关键词： Temperature sensors Temperature Mechatronics Neural networks Tactile sensors Human-robot interaction Machine learning

来源：评论

学校读者我要写书评

暂无评论

Task Allocation Algorithm for Multiple UAVs in IoT networks 1

引用

International conference on Communications, Signal processing, and Systems, CSPS 2023

作者： Ye, Liang Yang, Yu Zhu, Rangang Li, Xiaoshuai Communication Research Center Harbin Institute of Technology Harbin150001 China School of Electronic Countermeasures National University of Defense Technology Hefei230031 China

ISBN: (数字)9789819975051

ISBN: (纸本)9789819975396

As UAV and sensor techniques develop, UAVs are becoming more and more popular in both military and civilian fields. In post-earthquake evaluation scenes, UAVs and sensors can form an IoT network and collect environmental information. By allocating tasks reasonably and planning drone flight paths, data collection tasks within the entire earthquake area can be efficiently and stably completed. This paper proposes an improved task allocation algorithm based on the immune algorithm. The proposed algorithm can allocate tasks reasonably, and thus shorten the flight distance while avoiding meteorological threat areas. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection

引用

IEEE TRANSACTIONS ON SIGNAL processing 2021年 69卷 2056-2069页

作者： Mollaebrahim, Siavash Beferull-Lozano, Baltasar Univ Agder Dept Informat & Commun Technol ICT Intelligent Signal Proc & Wireless Networks WISEN N-4879 Grimstad Norway

A large number of applications in decentralized signal processing includes projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. Accomplishing such a task in a centralized fashion in networks is prone to a number of issues such as large power consumption, congestion at certain nodes and suffers from robustness issues against possible node failures. Decentralized subspace projection is an alternative method to address those issues. Recently, it has been shown that graph filters (GFs) can be implemented to perform decentralized subspace projection. However, most of the existing methods have focused on designing GFs for symmetric topologies. However, in this article, motivated by the typical scenario of asymmetric communications in Wireless sensor networks, we study the optimal design of graph shift operators to perform decentralized subspace projection for asymmetric topologies. Firstly, the existence of feasible solutions (graph shift operators) to achieve an exact projection is characterized, and then an optimization problem is proposed to obtain the shift operator. We also provide an ADMM-based decentralized algorithm for the design of the shift operator. In the case where achieving an exact projection is not feasible due to the sparse connectivity, we provide an efficient solution to compute the projection matrix with high accuracy by using a set of parallel graph filters.

关键词： Wireless sensor networks Topology Network topology Task analysis Symmetric matrices Signal processing sensors Decentralized signal processing graph filters subspace projection

来源：评论

学校读者我要写书评

暂无评论

An Optimized Deployment Method for Underwater Wireless sensor networks Based on Probability Density for Node Depth Self-Adjustment

An Optimized Deployment Method for Underwater Wireless Senso...

引用

Signal processing and intelligent Computing (SPIC), International conference on

作者： Wenbo Zhang Jinchi Dai School of Information Science and Engineering Shenyang Ligong University Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

For applications requiring high node density and broad coverage, this paper introduces the area of Voronoi diagrams as sinking probabilities and proposes the Probability Density-based Deep Adjustment and Layered Deployment Algorithm (PDLDA). The aim is to achieve higher node coverage while minimizing the number of nodes to the maximum extent possible. Through the analysis of simulation experiment results, it is found that the PDLDA deployment algorithm, compared to other algorithms, can achieve a more uniform node distribution, improve coverage, significantly enhance network reliability, and effectively prolong the network's lifespan.

关键词： Wireless sensor networks Accuracy Uncertainty Computational modeling Signal processing algorithms Signal processing Robustness Optimization Monitoring Standards

来源：评论

学校读者我要写书评

暂无评论

Predicting Sleep Quality Using Lifelog Data with Deep Learning Techniques 15

Predicting Sleep Quality Using Lifelog Data with Deep Learni...

引用

15th International conference on information and Communication Technology Convergence, ICTC 2024

作者： Kim, Seong-Yeol Kim, Ji-Ah Shin, Ho-Ju Kim, Seung-Wook Pukyong National University Department of Intelligent Robot Enginerring Busan Korea Republic of School of Electronic and Communication Engineering Pukyong National University Busan Korea Republic of

ISBN: (纸本)9798350364637

Sleep quality significantly impacts overall health. As wearable devices are recently developed and commercialized, a variety of sensors are now available to record lifelog from daily activities. This paper presents a sleep quality estimation method in which health status are classified, including sleep quality, emotions, and stress levels. The proposed method evaluates sleep quality using sensor data such as heart rate, mobile accelerometer, and GPS location. Previous research has shown a close relationship between sleep quality and movements detected from heart rate and accelerometer data during sleep. Our study extends this analysis beyond the sleep period by utilizing data collected throughout the day and integrating multiple data sources. In addition, we employ data augmentation techniques such as time-shifting, adding noise, and addressing class imbalance. By using long short-term memory networks and ensemble methods, we effectively train the proposed model on lifelog sequence data. Extensive experimental results confirm that the proposed method achieves outstanding performance in health status classification using the Human Understanding AI Paper Challenge 2024 dataset. © 2024 IEEE.

关键词： Sleep research

来源：评论

学校读者我要写书评

暂无评论

Recent advancements in Wireless sensor networks for Air Pollution Monitoring: A Survey Report of 2021-2022

Recent advancements in Wireless Sensor Networks for Air Poll...

引用

Advances in Electronics, Communication, Computing and intelligent information Systems (ICAECIS), International conference on

作者： Pranavee Posina Ganesh Kumar Chellamani Department of ECE Amrita School of Engineering Amrita Vishwa Vidyapeetham Chennai India

Air pollution has become a major global concern, as it affects the health and well-being of millions of people worldwide. One of the major advancements in Wireless sensor networks (WSN) for air pollution monitoring is the integration of cost effective, low-power sensors with wireless communication technologies. This has led to the development of low-cost, portable and easy-to-deploy air quality monitoring systems that can be deployed in remote areas to monitor air quality. The paper surveys the recent advancements in air pollution monitoring using wireless sensor networks. WSN is comprised of a network of wireless sensors deployed in the environment to collect data of various air pollutants, such as CO-Carbon monoxide, O 3 -Ozone, SO 2 -Sulfur dioxide, NO 2 -Nitrogen dioxide and PM-Particulate matter. In addition, the paper explores the usage of WSN for air pollution monitoring.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Spatial Statistics-based Participant Selection for Optimised Mobile Crowd-Sensing 2

Spatial Statistics-based Participant Selection for Optimised...

引用

2nd International conference for Advancement in Technology, ICONAT 2023

作者： Sengar, Aditya Singh Debnath, Soumitra The LNM Institute of Information Technology Department of ECE Jaipur India

ISBN: (纸本)9781665475174

Mobile Crowd-Sensing (MCS) is emerging as an important technology for future wireless networks and associated services like Mapping, Localization, Weather prediction, Pollution monitoring, etc. It is also being investigated for its potential in enabling the creation of Digital Twins of networks and cities as well. In MCS, few networked devices sense the parameter of interest and report it to a central entity, which utilizes this data to generate usable intelligence. For the MCS-based system to be reliable, it is imperative that the number and placement of the sensors are appropriate. If the number is less than adequate, the derived intelligence is not reliable. If the number is more, the additional data results in higher reporting and processing overheads. So, in order to realize the full potential of MCS without increasing the computational burden, in this work, a spatial statistics-based participant sensor selection scheme has been proposed. Radio Environment Mapping has been presented as an application of MCS. The number of participants is arrived at on the basis of the spatial correlation function. Then the participants are selected on the basis of the distance from the regular lattice centers. The results indicate a significant increase in accuracy in REM creation by the proposed method. © 2023 IEEE.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：