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2023 2nd international conference on Trends in Electrical, Electronics and Computer Engineering, TEECCON 2023

2023 2nd International Conference on Trends in Electrical, E...

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2nd international conference on Trends in Electrical, Electronics and Computer Engineering, TEECCON 2023

ISBN: (纸本)9798350339949

The proceedings contain 68 papers. The topics discussed include: impact of battery energy storage system for an energy market within an LV distribution feeder;industrial IoT: overview, enabled technologies, recent case studies challenges;H-MOCNA: hierarchical multi-objective composite navigating algorithm in wireless sensor networks for portable devices;voltage stability enhancement based optimal reactive power control;achieving covertness in the wireless mode-based communication in the IoT connection with use of THZ band and AWGN channel;efficient power conversion in single-phase grid-connected PV systems through a nine-level inverter;switched capacitor based multi output DC-DC converter for low voltage applications;and analysis of energy management system in micro grid operations, load support, and control hierarchy.

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A Fusion Neural Network Incorporating Attention for sensor-Based Human Activity Recognition 3

A Fusion Neural Network Incorporating Attention for Sensor-B...

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3rd international conference on Computer Vision, Image and Deep Learning and international conference on Computer Engineering and applications, CVIDL and ICCEA 2022

作者： Lu, Limeng Zhang, Chuanlin Cao, Kai Deng, Dao Institute of Chinese Ethnic Information Technology Northwest Minzu University Lanzhou China Key Laboratory of China's Ethnic Languages and Information Technology Ministry of Education Lanzhou China Northwest Minzu University School of Mathematics and Computer Science Lanzhou China Northwest Minzu University Key Laboratory of Streaming Data Computing Technologies and Application Lanzhou China

ISBN: (纸本)9781665459112

Even though the RNN, LSTM, and other networks are used to extract dependencies in time series, sensor-based human behavior recognition (HAR) still faces some difficulties, and the ability of deep learning (DL) networks to extract features still needs to be improved. We propose a fusion neural network in which an optimized small optimized Convolutional Block Attention Module (MP-CBAM) is suitable for HAR tasks to extract samples. The MP-CBAM is added to two branches Convolutional Neural Network (CNN) with different convolution kernel sizes, and the fused features are labeled with GRU for temporal dependence. Then the softmax function is used for classification. We validate on benchmark datasets UCI-HAR and WISDM and accuracies of 97.15% and 9S.9S% are obtained, respectively, demonstrating the adaptation of our framework to both single-sensor and multi-sensor devices. © 2022 IEEE.

关键词： Convolution

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Multi-sensor 3D Modeling of Natural Heritage: Example of the Lake Zmajevo Oko 8

Multi-Sensor 3D Modeling of Natural Heritage: Example of the...

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8th international conference on Geographical Information Systems Theory, applications and Management (GISTAM)

作者： Panda, Lovre Siljeg, Ante Maric, Ivan Univ Zadar Dept Geog Trg Kneza Viseslava 9 Zadar Croatia

ISBN: (纸本)9789897585715

In recent decades geospatial technologies (GST) have been affected by a process of rapid development. One of their applications involves the documentation of the protected areas reference state and the development of high-quality models for their preservation and management. The research area of this paper is Lake Zmajevo oko (Lake Dragon eye), near Rogoznica (Croatia). The research goals were to create a multisensor model of the lake and present the application of these technologies for promotional purposes. The secondary objective was to obtain morphometric data about the lake. The research methodology included performing the process of UAV photogrammetry and bathymetry. In UAV photogrammetry, a Phantom 4 Pro was used. In the bathymetric survey, an integrated system composed of WASSP S3 multibeam depth sounder (MBES) and the Hemisphere V320 GNSS smart antenna was used. The data collected by both methods were combined and an multisensor high-quality model of the lake was created. Ten underwater tunnels on the steep sides of the lake were detected. From the derived models, the volume and surface area of the lake, as well as the length of the lake shoreline were calculated. Furthermore, a virtual walk around the lake w as made to promote this area. A physical model of the lake, which can serve as a souvenir, was printed with the 3D printer Prusa i3 MK3. The collected high-quality data can serve as the basis for future research, while derived models and a virtual walk can be used for its promotion.

关键词： Zmajevo Oko Geospatial technologies UAV WASSP S3 MBES Virtual Walk

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4th international conference on Advances in Emerging Trends and technologies, ICAETT 2022

4th International Conference on Advances in Emerging Trends ...

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4th international conference on Advances in Emerging Trends and technologies, ICAETT 2022

ISBN: (纸本)9783031259418

The proceedings contain 54 papers. The special focus in this conference is on Advances in Emerging Trends and technologies. The topics include: Micro-enterprise Management Towards Scenario Building for Decision Making;analysis of Business Efficiency Considering the Influence of the Particular Events on Sales Increase Period 2016–2020;income from Ordinary Activities and Its Tax Impact on Companies in the Automotive Sector in Ecuador;proof of Concepts of Corda Blockchain Technology Applied on the Supply Chain Area;spread Virus: Usability Evaluation on a Mobile Augmented Reality Videogame;neural Networks on Noninvasive Electrocardiographic Imaging Reconstructions: Preliminary Results;security Mechanisms and Log Correlation Systems;identification of Corn Leaves Diseases Images Using MobileNet Architecture in SmartPhones;experimental Assessment of Photovoltaic Systems Using One-Axis Tracking and Positioning Strategies in Equatorial Regions;Evaluation of the Reliability of a LiDAR sensor Through a Geometric Model in applications to Autonomous Driving;Design of Optimal Controllers Applying Reinforcement Learning on an Inverted Pendulum Using Co-simulation NX/Simulink;socio-spatial Segregation Using Computational Algorithms: Case Study in Ambato, Ecuador;expert System with Facial Recognition Implemented in Human-Machine Conversation Services for the Automation of Multi-platform Remote Processes in the Identification of People Reported Missing;radar Probability of Detection in Multipath Environments;Low Detection Symbol Algorithm for MIMO Systems with Big Number of Antennas;preface;Recognition and Classification of Cardiac Arrhythmias Using Discrete Wavelet Transform (DWT) and Machine Learning Techniques;deployable Networks. An Alternative for Communications in Critical Environments;application for the Study of Underwater Wireless sensor Networks: Case Study;Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic

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Plasmonics based refractive index sensor based on square ring resonator

Plasmonics based refractive index sensor based on square rin...

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3rd international conference on Advancement in Nanoelectronics and Communication technologies (ICANCT)

作者： Sharma, Yazusha Zafar, Rukhsar Jaipur Engn Coll & Res Ctr Dept Elect & Commun Engn Jaipur India Swami Keshvanand Inst Technol Management & Gramoth Jaipur India

In proposed research, a square ring resonator designed with a straight metal-insulator-metal (MIM) waveguide is investigated for sensing purpose. The interaction between square resonator and waveguide is observed theoretically and calculated numerically using finite difference in time domain method (FDTD). The length of square ring resonator and waveguide width are selected in such a way to transfer maximum power. Different sensing parameters like sensitivity, figure of merit and resolution are calcu-lated to characterize the qualitative analysis of sensor. The proposed refractive index based sensor can be used as different sensing applications like chemical sensing, bio-sensing application etc. (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 3rd international Con-ference on "Advancement in Nanoelectronics and Communication technologies".

关键词： Plasmonics Surface plasmon polaritron Square ring resonator Metal -insulator -metal waveguide

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R-RPT-A Reliable Routing Protocol for Industrial Wireless sensor Networks 24th

R-RPT-A Reliable Routing Protocol for Industrial Wireless Se...

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24th international conference on Parallel and Distributed Computing, applications and technologies, PDCAT 2023

作者： Roy, Kripanita Kim, Myung-Kyun Department of Electrical Electronic and Computer Engineering University of Ulsan Daehak-Ro 93 Nam-Gu Ulsan44610 Korea Republic of

ISBN: (纸本)9789819982103

Wireless sensor Networks (WSN) are extensively used to monitor and control physical environments. Effective energy management and maintaining reliability are key considerations in Wireless sensor Networks and routing plays a crucial role in achieving these objectives. The Routing Protocol for Low Power and Lossy Networks (RPL) is being adopted in Low-power and Lossy Networks (LLNs) to facilitate the connectivity of Wireless sensor Networks within the Internet of Things (IoT). Although RPL has been significantly used in IoT routing, it still has extensive challenges. One of the most basic challenges is related to the reliability of routing. However, RPL lacks a load balancing mechanism, which is essential for maximizing the lifetime of sensor nodes by preventing the occurrence of overloaded nodes and the potential congestion that can result from it. To improve this issue, a new routing protocol was proposed called the reliable routing protocol (R-RPT) to maximize the reliability of data collection in large scale wireless sensor network. R-RPT aims to establish multiple bidirectional routes between a sensor node and a root node. R-RPT selects the parent node based on the evaluation of various criteria related to reliability. In addition, R-RPT achieves load balancing efficiently by sending data packets via the route with lighter workload. The simulation results obtained through Cooja simulator demonstrated that the proposed R-RPT routing protocol outperforms existing routing protocols in terms of packet delivery ratio, routing packet overhead and end-to-end packet delay. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Routing protocols

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Rural Electrification Using Computer Vision and Wireless sensor Networks 2

Rural Electrification Using Computer Vision and Wireless Sen...

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2nd IEEE international conference on Intelligent technologies, CONIT 2022

作者： Shukla, Rishabh Kaur, Harkeerat Iit Jammu Computer Science and Engineering Department Jammu India

ISBN: (数字)9781665484077

ISBN: (纸本)9781665484077

The procedure of supplying electrical electricity to rural and isolated locations is known as rural electrification. Rural towns are experiencing massive market imperfections as national systems fail to meet their electrical needs. when it comes to development regulations, the concept of a 'smart city' has gained a lot of traction. The purpose of a smart city is to make better use of public resources and deliver better services to inhabitants while lowering operating expenses. In this research, smart street light applications are employed to create wireless sensor networks for smart cities, and they are also used to construct the networks. The street lights feature wireless sensor kits that gather information about temperature, humidity, and carbon dioxide levels to keep a watch on the environment. They also keep track of regional changes. The following is how it works: In addition, each sensor package includes a camera for monitoring environmental activity. A Raspberry Pi programming card was used to create the sensor kit. A sensor kit has been created specifically for this card. We stacked the XBee wireless modules on top of the sensor kit to make it wireless. The information is saved in a database. An interface is used to provide the data to the user. © 2022 IEEE.

关键词： Rural areas

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Robust Active Fault Tolerant Tracking Control for Constrained NLPV System Subject to sensor and Actuator Faults 5th

Robust Active Fault Tolerant Tracking Control for Constraine...

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5th international conference on Electrical Engineering and Control applications, ICEECA 2022

作者： Righi, Ines Aouaouda, Sabrina Chadli, Mohammed Faculty of Sciences and Technologies Univ Souk-Ahras-LEER-BP 1553 Souk-Ahras41000 Algeria University Evry IBISC Lab. 40 rue du Pelvoux Evry91020 France

ISBN: (纸本)9789819700448

In this work, sensor-Actuator Fault (SAF) estimations and accommodation for discrete-time constrained Nonlinear Parameter Varying (NLPV) descriptor system subject to input and state constraint, with unmeasurable premise variables and depending on the acting faults are investigated. By using L2 Proportional Integral (PI) observer and non-quadratic Lyapunov function, efficient conditions to design the observer are obtained via a linear matrix inequalities formulation. Then, based on the estimation of the SAF, an efficient Fault Tolerant Tracking Controller (FTTC) can be realized via SAF compensation. The gains of both observer and FTTC are computed by solving a set of LMI constraints in single step, with less conservative results and improving trajectory tracking performances. Robustness against external disturbances is analyzed using the L2 performance index to attenuate its effect on the tracking error, estimation error and faulty system. Finally, a robot 2DoF model is used to highlight the performances of the developed method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Linear matrix inequalities

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A Survey on Energy Saving Technology of Wireless sensor Network 4th

A Survey on Energy Saving Technology of Wireless Sensor Netw...

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4th international conference on Wireless Communications and applications, ICWCA 2020

作者： Zhang, Huanan School of Data and Computer Science Guangdong Peizheng College Guangzhou China

ISBN: (纸本)9789811651670

Wireless sensor networks (WSNs) have important applications in many fields such as medical treatment and industry. A WSN is typically consists of a large number of sensor nodes that rely on a limited supply of power in many applications. Therefore, improving the energy efficiency of wireless sensor networks has become an important research topic. This paper analyzes the principle of energy consumption of each component unit of wireless sensor node, and studies the energy saving technology and energy saving design idea of MAC protocol from the data link layer and network layer of network model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy utilization

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Bluetooth Controlled Integrated Robotic Arm with Temperature and Moisture sensor Modules 7th

Bluetooth Controlled Integrated Robotic Arm with Temperature...

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7th international conference on Inventive Communication and Computaional technologies, ICICCT 2023

作者： Sriharipriya, K.C. Shivani, R. Sai Ragadeep, K. Sangeetha, N. School of Electronics Engineering VIT University Vellore India

ISBN: (纸本)9789819951659

Robotic arms are automated machines that are equipped with a range of sensors that allow them to interact with the environment. They can be used in a variety of applications such as manufacturing, medical, and laboratory tasks. A robotic arm with a temperature sensor is especially useful for applications that require precise temperature control. The temperature sensor is typically mounted on the robotic arm and it sends a signal back to the controller which can be used to regulate the temperature of the space. For example, in a manufacturing plant, the robotic arm can be programmed to turn on a cooling fan when the temperature of the environment exceeds a certain threshold. The temperature sensor can also be used for safety purposes, e.g., if the temperature of the environment is too high, the robotic arm can be programmed to shut down the system. This ensures that the system does not overheat and that the workspace remains safe for the people working in it. In addition, the temperature sensor can be used to detect changes in the environment, e.g., if the temperature is rising, the robotic arm can be programmed to open a door or window to allow more air circulation. This can help maintain a comfortable working environment and can also prevent the system from overheating. In conclusion, a robotic arm with a temperature sensor is an invaluable asset for any industry or research lab. It can help to regulate the environment and prevent the system from overheating, as well as providing safety features. The temperature sensor can also be used to detect changes in the environment, allowing the robotic arm to adjust the system accordingly. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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