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The efficient data prediction and clustered compressive sensing (CCS) in environmental application of WSN

The efficient data prediction and clustered compressive sens...

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Interdisciplinary Humanitarian conference for Sustainability (IIHC), international

作者： Sonia NA Verma Vijay Kumar Pandey Department of Computer Science & Engineering Chandigarh Engineering College Jhanjeri Department of Mechanical Engineering Vivekananda Global University Jaipur India

Wireless sensor networks are built from nodes called mod - small autonomous devices powered by batteries and microchips with radio communication at a frequency - for example 2.4 GHz. A special software allows mods to be organized into distributed networks, communicate with each other, interrogate and exchange data with adjacent nodes, the distance of which is usually no more than 100 meters. A wireless sensor network (WSN) is a wireless network consisting of geographically distributed autonomous devices that use sensors to collectively monitor physical or environmental conditions in different areas. They can measure parameters such as temperature, sound, vibration, and pressure, movement of objects or wind. The development of wireless sensor networks was initially motivated by military tasks such as battlefield surveillance. In this paper discussed in detail about, wireless sensor networks are increasingly used in many areas of civil life, including industrial and environmental monitoring, healthcare, and material movement control. The main operational processing of the data collected by the motes is carried out at the node or gateway, which is a very powerful computer. But to process the data, you have to get it first. For this purpose, the node must be equipped with an antenna. But in any case, only objects close to it are accessible to the node; In other words, node does not receive information directly from each node

关键词： Temperature measurement Temperature sensors Vibrations Wireless sensor networks Power demand Transmitters Wireless networks

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Landscape Change monitoring using Satellite Data and Open Data Cube Platform 16

Landscape Change Monitoring using Satellite Data and Open Da...

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IEEE 16th international conference on intelligent computer Communication and Processing (ICCP)

作者： Vajaiala-Tomici, Catalian-Mihai Filip, Ion-Dorinel Pop, Florin Univ Politehn Bucuresti Fac Automat Control & Comp Sci Bucharest Romania Natl Inst Res & Dev Informat ICI Bucharest Bucharest Romania

ISBN: (纸本)9781728190808

The project presented in this paper aims to bring to the Romanian stage a system capable of providing information on various land changes that occur in Romania. These changes can have multiple causes, either natural or caused by human activities. Local authorities, business people, and researchers can use this information to make informed decisions that can influence Romanian citizens' well-being. This paper presents a method to build a complex system at the national level, aiming to highlight the usefulness of using geospatial data. In order to interact in a pleasant way with geospatial data providers, this work is based on an open-source solution called Open Data Cube, which incorporates in a library different services, acting as an interface between the system itself and the data providers, but also as a standard for data storage. This paper explores three different use cases, namely the detection of deforestation, monitoring the evolution of urbanization, and the evolution of the Black Sea coast, especially in the area of the mouth of the Danube river. Although different, with totally different causes, these three examples highlight the versatility of such a system.

关键词： Satellite Data Open Data Cube Change monitoring distributed Systems

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monitoring of Macadamia Nut Planting Environment Based on Smart Sensor Technology

Monitoring of Macadamia Nut Planting Environment Based on Sm...

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2020 international conference on Mechanical Automation and computer Engineering, MACE 2020

作者： Zhang, Jinyun Zhao, Xiujuan Tao, Liang Wu, Shijun Chen, Qianqian Guangdong Eco-engineering Polytechnic Department of Horticulture Guang Zhou Guang Dong510520 China

Smart sensor network technology integrates sensors, embedded computing, modern networks, wireless communication and distributed information processing technologies, and is currently a frontier hot research field in the world. The application of wireless sensor network to the greenhouse environment monitoring system to realize self-organizing network, wireless data transmission and intelligent control is also of great significance to the realization of agricultural modernization. The purpose of this paper is to study the monitoring of macadamia nut planting environment based on smart sensor technology. Since the greenhouse environment monitoring system has very high requirements for power consumption, cost and stability, this article selects ZigBee wireless sensor network technology with low power consumption, low cost, high stability, etc. to build a set of monitoring temperature and humidity Greenhouse wireless smart sensor network model. According to the actual requirements of greenhouse environment monitoring, this article proposes a new type of ZigBee technology-based greenhouse macadamia nut planting environment monitoring system solution, and gives the overall structure of the system. Considering many aspects such as cost and power consumption, this article stores, displays, analyzes and processes the acquired data. The functions of the system meet the design requirements. The system realizes the collection of greenhouse parameters and the data display and processing functions, and realizes the video monitoring of the greenhouse. Experimental studies have shown that in the actual greenhouse environment, due to a large number of crops blocking, it is bound to produce certain obstacles to signal transmission, but because of the large number of nodes, the distance between the node and its parent node will not exceed 25m, which also ensures The data collected by sensor nodes can be safely and error-freely transmitted to the coordinator node in a multi-hop manner.

关键词： Greenhouses

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intelligent security system based on location information 5

Intelligent security system based on location information

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5th international conference on Mechanical, control and computer Engineering (ICMCCE)

作者： He Weixin Cong Linhu Naval Aviat Univ Yantai Peoples R China

ISBN: (纸本)9781665423144

The current military management of important materials lacks real-time monitoring means. Once important materials are lost or stolen, they can only be analyzed and speculated through post-event investigations and evidence collection. People can'n immediately locate the real-time location of the item. Based on the above considerations, the NB-IoT communication module, Beidou positioning module, and buzzer are used to form a positioning device. When important materials are active outdoors, the NB-IoT SIM card on the device is activated, and the SIM card sends real-time location information of the materials to the cloud platform in real time to ensure that real-time trends are grasped, and the data will be sent to the computer terminal. The administrator operates the terminal and can monitor the entire process without blind spots. In the process of data transmission, AES encryption is used to ensure data security. Installed on important materials, the management software will display the location, movement track, environmental status and other information of the materials in real time, which solves the needs of real-time monitoring, status monitoring and anti-theft warning of important materials.

关键词： NB-IoT Important supplies Location monitoring Real time monitoring

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Research on the Digital Twin Based computer Room intelligent Operation and Maintenance monitoring Methods

Research on the Digital Twin Based Computer Room Intelligent...

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2020 IEEE international conference on Artificial Intelligence and computer Applications, ICAICA 2020

作者： Hong, Zhang Qianqian, Zhang Yan, Li Chengdu641000 China

ISBN: (纸本)9781728170046

Based on the digital twin computer room intelligent operation and maintenance monitoring system, this paper adopts the three-dimensional virtual monitoring means to realize the construction and synchronous operation of the virtual computer room from the perspectives of information integration, model construction, two-dimensional monitoring and three-dimensional monitoring and so on, so as to display the digital twin computer room from three-dimensional visual dimension, reflect the on-site dynamics of the computer room from the behavior dimension and restrict the computer room status information from the rule dimension, thus monitoring various equipment and environmental parameters of the computer room, realizing the concentrated monitoring, control, early warning and management of the information, implementing the operation and maintenance of the operation status of the computer room equipment, equipment asset management and business system, bringing convenience for the application expansion to the future computer room equipment operation and maintenance, business guarantee system and so on. © 2020 IEEE.

关键词： Three dimensional computer graphics

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8th international conference on Future Data and Security Engineering , FDSE 2021

8th International Conference on Future Data and Security Eng...

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8th international conference on Future Data and Security Engineering , FDSE 2021

ISBN: (纸本)9783030913861

The proceedings contain 26 papers. The special focus in this conference is on Future Data and Security Engineering. The topics include: Feature Learning and Data Generative Models for Facial Expression Recognition;authorization Strategies and Classification of Access control Models;motorbike Counting in Heavily Crowded Scenes;pesticide Label Detection Using Bounding Prediction-Based Deep Convolutional Networks;intelligent Urban Transportation System to control Road Traffic with Air Pollution Orientation;a Data Union Method Using Hierarchical Clustering and Set Unionability;a Consensus-Based Load-Balancing Algorithm for Sharded Blockchains;neighboring Information Exploitation for Anomaly Detection in intelligent IoT;feature Representation of AutoEncoders for Unsupervised IoT Malware Detection;Potential Threat of Face Swapping to eKYC with Face Registration and Augmented Solution with Deepfake Detection;time in Data Models;spliced Image Forgery Detection Based on the Combination of Image Pre-processing and Inception V3;comprehensive Analysis of Privacy in Black-Box and White-Box Inference Attacks Against Generative Adversarial Network;face Recognition in the Wild for Secure Authentication with Open Set Approach;intrusion Detection in Software-Defined Networks;clustering Analyses of Two-Dimensional Space-Filling Curves;Attendance monitoring Using Adjustable Power UHF RFID and Web-Based Real-Time Automated Information System;integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction;distributed Scalable Association Rule Mining over Covid-19 Data;threshold Benefit for Groups Influence in Online Social Networks;application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms;Efficient Brain Hemorrhage Detection on 3D CT Scans with Deep Neural Network;multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem;selective Combination and Management of distributed Machine Le

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Optimized clustering with data privacy for wireless sensor network data transmission 5

Optimized clustering with data privacy for wireless sensor n...

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5th international conference on intelligent Computing and control Systems, ICICCS 2021

作者： Mohanty, Sipra Sahoo, Bhaswati School of Computer Engineering KIIT Deemed to Be University Bhubaneshwar Odisha India

ISBN: (纸本)9781665412728

The technological advancement in all fields like communication, medicine, industry, etc. demands high data transmission. Data transmission is carried via different wireless sensor networks (WSN). Wireless sensor networks are low-cost, low-energy, and small multifunctional sensors that are used for dense object tracking, environmental monitoring, and industrial control. In recent times, several researchers have been drawn to sensor networks due to their feasibility and efficiency to protect data during transmission. The wireless sensor network transmits the data which is collected by a device and sent to the base station and the user. The nodes are grouped as clusters and the data are aggregated and transmitted from the cluster to the base station. Such larger collections of homogeneous or heterogeneous sensors are networked, which needs an unattended operation in various applications. This forms a wireless sensor network with several sensor nodes with the capability y of communicating with other nodes or with other base stations. The original data should be sent without loss to attackers and the base station. The large collection of sensor nodes is capable of sensing larger regions with much higher accuracy. As the size of the sensor network increases, the area of coverage increases. To improve the capacity of sensor node batteries and to reduce the consumption of energy innetwork, the idea of Compressive Sensing (CS) is used in wireless sensor networks. The Compressive Sensing theory is combined with wireless sensor networks to reduce the total data transmitted. It reduces well the consumption of energy in wireless sensor networks, possibly increases the lifetime of the network. The proposed research work provides an optimized clustering technique using compressive sensing like Tree Cluster Data Gathering Compressive Sensing Algorithm (TCDGCSA) for the security of the data protection transmitted from the nodes in the cluster to the base station. © 2021 IEEE.

关键词： Compressed sensing

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Gamified Smart Grid Implementation Through Pico, Nano, and Microgrids in a Sustainable Campus 3rd

Gamified Smart Grid Implementation Through Pico, Nano, and M...

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3rd international conference on Smart Multimedia, ICSM 2022

作者： Pérez, Citlaly Méndez, Juana Isabel Rivera, Antonio Ponce, Pedro Castellanos, Sergio Peffer, Therese Meier, Alan Molina, Arturo Institute of Advanced Materials for Sustainable Manufacturing Tecnologico de Monterrey MonterreyMX64849 United States Department of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Institute for Energy and Environment University of California BerkeleyCA94720 United States Energy and Efficiency Institute University of California DavisCA95616 United States

ISBN: (纸本)9783031220609

Deploying a smart city is becoming a trend toward achieving sustainability and enabling a better lifestyle for its inhabitants. Energy plays a leading role in smart cities, as most of our everyday activities and environment are related to energy sources. Integrating renewable energy into the electric power system is also challenging due to the intermittency and security of supply;a solution to this challenge is a decentralized system, which integrates renewable energies, reduces fossil fuel usage, and increases eco-efficiency. Furthermore, research suggests including social interaction between the inhabitants and the smart grid through interfaces with game elements that motivate and educate individuals about the smart grid. Thus, smart grids require including new distributed entities that have not existed previously, such as picogrids, nanogrids, and microgrids. In addition, the internet of things (IoT) applications provide advanced monitoring and control in the smart grid in case of an outage or disturbances. Therefore, this paper presents a microgrid, nanogrid, and picogrid integration using a building facility at Tecnologico de Monterrey, Mexico City Campus. Besides, a solar photovoltaic array was analyzed to understand the energy consumption and its interaction with the Campus microgrid. The building considers three groups: specialized laboratories, computer rooms, and classrooms. Additionally, a gamified platform was deployed to teach the Campus community the differences between these grids and how each picogrid had different consumption. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Internet of things

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Steady State Estimation of Power Distribution Networks with distributed Generation using Integrated DC Load Flow and Weighted Least-Square Algorithm 13

Steady State Estimation of Power Distribution Networks with ...

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2021 IEEE 13th international conference on Humanoid, Nanotechnology, Information Technology, Communication and control, Environment, and Management, HNICEM 2021

作者： Ostia, C.F. Pacis, M.C. Lee, B.S. Perez, B.N.A. Ramayan, M.L.A. Ymasa, E.M.M. Mapua University School of Electrical Electronics and Computer Engineering Philippines

ISBN: (纸本)9781665401678

monitoring of a power system is essential in order to ensure reliability, safety, and security. However, metering devices, which are commonly used in a power system are prone to errors. Most of the time, these errors occur at random and due to man-made means, environmental, or system failures that can greatly affect the whole power system. Several methods and estimation techniques are emerging to anticipate such occasions. In this study, the researchers performed power system state estimation on an IEEE 14-Bus Test Case with distributed Generation injection using Weighted Least Square method. At least three metering devices that were subjected to errors were considered;there were also cases that contained zero reading and contingency. To be able to perform state estimation, the researchers performed DC load flow analysis to acquire the power flows of the line. Then, an error ranging from -5% to + 5% were injected to the selected meters. The data coupled with error was then simulated to the modelled WLS algorithm. To verify the result from the algorithm, it was compared to ETAP, and the researchers conducted T - Test. Based from the parametric test (or statistical test), the t - value is less than the t - critical. The estimated data from MATLAB is almost equal to the true value from ETAP. Therefore, the researchers were able to develop an accurate PSSE using WLS method. © 2021 IEEE.

关键词： State estimation

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6th EAI international conference on IoT as a Service, IoTaaS 2020

6th EAI International Conference on IoT as a Service, IoTaaS...

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6th EAI international conference on IoT as a Service, IoTaaS 2020

ISBN: (纸本)9783030675134

The proceedings contain 63 papers. The special focus in this conference is on IoT as a Service. The topics include: Double-Threshold-Based Massive Random Access Protocol for Heterogeneous MTC Networks;IP Addressing and Address Management of Space-Based Network Based on Geographical Division;a Convolutional Neural Network Approach for Stratigraphic Interface Detection;a Deep Neural Network Based Feature Learning Method for Well Log Interpretation;trust Prediction Model Based on Deep Learning in Social Internet of Things;An Alarm System Based on BP Neural Network Algorithm for the Detection of Falls to Elderly Person;the intelligent Routing control Strategy Based on Deep Learning;distributed Opportunistic Channel Access with Optimal Single Relay Under Delay Constraints;distributed Opportunistic Channel Access Under Single-Bit CSI Feedback;Spectrum Allocation Algorithm for Energy-Constrained UAV in Interweave Cognitive IoT Network Based on Satellite Coverage;Resource Allocation for Multi-UAV Assisted Energy-Efficient IoT Communications with Co-channel Interference;Edge Network Extension Based on Multi-domains Fusion and LEO Satellite;completion of Marine Wireless Sensor monitoring Data Based on Tensor Mode-n Rank and Tucker Operator;Belief Propagation-Based Joint Iterative Detection and Decoding Algorithm for Asynchronous IDMA Satellite Systems;modulation Pattern Recognition Based on Wavelet Approximate Coefficient Entropy;a New Message Passing Algorithm Based on Sphere Decoding Improvement;a Novel Codebook Design Scheme for Sparse Code Multiple Access;Multi-view Polarization HRRP Target Recognition Based on Convolutional Neural Network;Millimeter-Wave Communications with Beamforming for UAV-Assisted Railway monitoring System;Improved Pulse Shaping Algorithm for Reducing PAPR in OFDM System;satellite Navigation Software Receiver Design;preface.

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