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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications X"

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IMPLEMENTATION OF TELECONTROL AND TELEMETRY systems IN ROBOTS FOR MONITORING IN ALL TERRAINS

IMPLEMENTATION OF TELECONTROL AND TELEMETRY SYSTEMS IN ROBOT...

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2024 IET International conference on Engineering Technologies and applications, ICETA 2024

作者： Achmadiah, Mas Nurul Sun, Chi-Chia Kuo, Wen-Kai Department of Electro-Optics National Formosa University Yunlin Taiwan Department of Electrical Engineering National Taipei University Taipei Taiwan Smart Manufacturing And Intelligent Machinery Research Center National Formosa University Taiwan

ISBN: (纸本)9781837242672

This paper presents a remotely controlled robot developed utilizing telemetry and telecontrol techniques that serves as a monitoring system. This robot can effectively send Attitude and Heading Reference System data and analyze the data using the Direction Cosine Matrix (DCM) approach to determine the robot's position by using an IMU (Inertial Measurement Unit) sensor. Additionally, equipped with an IP camera, this robot can show real-time streaming video based on its environmental conditions. This paper produces a robot that increases efficiency and effectiveness while helping people remotely do monitoring tasks. Based on the test results, position testing is conducted 0–5 meters away, and the average drift on the x-axis was 0.20707 meters and on the y-axis was 0.405 meters. At the same time, testing of the telecontrol and telemetry systems developed in this research worked smoothly at a distance of 20 meters with 100% data reliability quality. © The Institution of Engineering & Technology 2024.

关键词： Telemetering systems

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Intelligent WSN Localization using Multi-Linear Regression and a Mobile Anchor Node 13

Intelligent WSN Localization using Multi-Linear Regression a...

引用

13th International conference on Information and Communication systems (ICICS)

作者： Yaseen, Tuqa M. Bani Awad, Fahed H. Jordan Univ Sci & Technol Dept Network Engn & Secur Irbid Jordan

ISBN: (纸本)9781665480970

As the applications of Wireless sensor Network are increasingly associated with the rapidly growing field of the Internet of Things, resolving the problem of precisely locating sensor nodes has become a pressing need. As a result, several location identification methodologies have been proposed to address this need. This paper proposes a machine learning-based algorithm that allows the sensor node to identify its own location accurately using a single mobile anchor node. The mobile anchor node moves along a relatively short straight path, reducing the energy consumption associated with its movement as well as the total time needed to identify the locations of all sensor nodes. The proposed machine learning model is based on the Multi-Linear Regressing model and it is trained offline, reducing the burden on the resource-constraint sensor nodes. The performance evaluation results show that the proposed algorithm can achieve location identification accuracy of less than half a meter.

关键词： Wireless sensor Networks Location Identification Machine Learning Mobile Anchor Node Multi-Linear Regression

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LWIR Multispectral Imaging using Plasmonic Filters integrated on a Single Thermal Image sensor

LWIR Multispectral Imaging using Plasmonic Filters integrate...

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SPIE conference on Future Sensing Technologies

作者： Shaik, Noor E. Karishma Widdicombe, Bryce Desai, Nandakishor Palaniswami, Marimuthu Nirmalathas, Ampalavanapillai Unnithan, Ranjith R. Univ Melbourne Elect & Elect Engn Parkville Vic 3010 Australia

ISBN: (纸本)9781510657229

Multispectral imaging involves capturing the same scene at different wavelengths using various narrowband filters stacked or integrated into digital camera sensors. This technology makes it possible to extract the additional information that a human eye or conventional camera fails to capture and thus has important applications in object identification, precision agriculture, and medicine. Multispectral imaging in visible wavelengths is readily possible due to the availability of digital imaging sensors and existing narrowband filter designs like metal-dielectric-metal films, dielectric films, or Fabry-Perot cavities [1-2]. Multispectral imaging in thermal longwave infrared (LWIR) wavelengths of 8-14 mu m range has more advanced applications as they can see through fire, detect various gases, and investigate materials non-destructively through thermal signatures. However, conventional thermal image sensors can image in a single spectral band only. Thermal multispectral imaging is hindered by traditional filter technology where many layers of different materials are required for obtaining various spectral bands and limited wavelength tunability. On-chip integration of the infrared filters on the thermal image sensors to build a compact multispectral thermal camera is still an emerging area [3-5]. In the current work, we design and demonstrate a low-cost single sensor-based multispectral thermal sensor system composed of copper-based plasmonic imaging filter mosaic (multiple spectral filters are fabricated on a single substrate using only one lithography step and two deposition steps) integrated into an uncooled monochrome thermal sensor. The proposed work is mass-fabricable, scalable, and integrable, thereby leveraging next-generation LWIR thermal snapshot multi- and hyperspectral imaging.

关键词： subwavelength photonics optical metasurfaces plasmonic filter design on-chip integration longwave infrared imaging thermal multispectral technology

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IoT-Based Security Detection for Cloud Web applications: Leveraging Internet of Things Approaches 1

引用

3rd International conference on Mechanical and Energy Technologies, ICMET 2023

作者： Sudhakar, A.V.V. Shweta, Shashwati Kumar, K. Suresh Dube, Anand Prakash Lakshmikanth, R. Sravan, Padala Department of EEE School of Engineering SR University Telangana Warangal India Tilak Maharashtra Vidyapeeth Vidyapeeth Bhavan Gultekdi Pune India MBA Department Panimalar Engineering College Varadarajapuram Poonamallee Chennai India Department of Computer Science School of Management Sciences Uttar Pradesh Varanasi India Department of Management Studies Adithya Institute of Technology Coimbatore Kovilpalayam India School of Computer Science and Artificial Intelligence SR University Telangana Warangal India

ISBN: (数字)9789819727162

ISBN: (纸本)9789819727155

The surge of Internet of Things (IoT) gadgets and cloud-based applications has been increasing the pressure to manage data reliability and security in digital space. This abstract presents examining new techniques for the detection of security among cloud web applications with the capabilities of IoT. Through the equipment of IoT devices, there will be the enhancement of real-time monitoring and detection of safety threats in cloud-based applications that are Internet-based. This synergy enables banks to have access to a variety of data sources, that is, both internal and external data. It makes the collection of large volumes of data possible, and so the banks have a good picture of the environment in which the application runs. With the use of machine learning and AI algorithms in the background, the existing anomalies and known potential vulnerabilities can be found fast, hence paving the way for proactive remediation of the present and future threats. Besides, the sensor through IoT can be utilised to measure physical security areas, which include environmental conditions and access control device integrity, and they make sure provision of security to cloud web applications. A single security architecture that utilises IoT and cloud technologies will allow the organisations to have robust defences, enhanced data protection, and a diminishing risk level, thus keeping the digital services in a trusted and dependable state in an always advanced threat environment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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Preserving Legacies, Pioneering Frontiers: Multi-sensor Image Fusion, from Medieval Manuscripts to UAS-based Sensing 30

Preserving Legacies, Pioneering Frontiers: Multi-Sensor Imag...

引用

conference on Algorithms, Technologies, and applications for Multispectral and Hyperspectral Imaging xxx

作者： Hassanzadeh, Amirhossein Macalintal, Jose N. G. M. Messinger, David Rochester Inst Technol Rochester NY 14623 USA

ISBN: (纸本)9781510673816;9781510673809

Data fusion, which involves integrating data from multiple sources, is increasingly valuable across various fields due to its ability to enhance information quality, accuracy, and reliability. This process enables a more comprehensive understanding of complex phenomena by merging diverse datasets, providing insights that are otherwise unattainable. In the realm of remote sensing, where precise data acquisition is critical, fusion techniques have become indispensable, benefiting applications such as object detection, classification, and change detection. While much emphasis has been placed on spatial sharpening techniques in published studies, there remains a notable gap in establishing robust workflows for both lab-based and UAS-based remote sensing data fusion, particularly in the near-infrared (VNIR) and short-wave infrared (SWIR) regions. This study aims to investigate VNIR-SWIR fusion using data sourced from a medieval manuscript in a controlled laboratory environment and from UAS-based sensors in a real-world setting, addressing differences in system parameters and processing workflows. Despite challenges such as image registration issues, our analysis has yielded promising results, underscoring the importance of ongoing refinement in fusion methodologies to ensure comprehensive data interpretation and analysis across diverse datasets and environments.

关键词： data fusion visible to near infrared (VNIR) shortwave infrared (SWIR) Unamnned Aerial systems (UAS)

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NANOCON 2023 - 15th International conference on Nanomaterials - Research and Application, conference Proceedings

NANOCON 2023 - 15th International Conference on Nanomaterial...

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15th International conference on Nanomaterials - Research and Application, NANOCON 2023

ISBN: (纸本)9788088365150

The proceedings contain 64 papers. The topics discuss include: quantum-mechanical study of internal structural transformations in Pb-supersaturated Pb-Sn alloys;investigation of bimetallic W/Cu nanoparticles produced by a gas aggregation source using a segmental target;surfactant-free silver nanofluids as liquid systems with neuromorphic potential;ring models of atoms and molecules with two opposite spins of proton and neutron rings;the use of benzoyl peroxide as an initiator to prepare PANI and CNT/PANI for thermoelectric applications;evaluation of inkjet printed heaters array for chemo-resistive gas sensor;mechanical processing of graphene oxide, its reduced form and biochar;magneto-optical properties of arrayed structures of cylindrical and elliptical quantum dots;and properties of nanocrystalline Fe-Ni particles prepared by thermal reduction of oxalate precursors.

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Agile Development of Small Satellite's Attitude Determination and Control System

Agile Development of Small Satellite's Attitude Determinatio...

引用

IEEE Aerospace conference

作者： Foo, K. J. Tissera, M. S. C. Tan, R. D. Low, K. S. Natl Univ Singapore Satellite Technol & Res Ctr STAR 5 Sports Dr Singapore 117292 Singapore

ISBN: (纸本)9781665490320

With the advanced development and maturing of small satellite technologies, there is a high commercial demand for low-cost small satellites with fast delivery for a multitude of applications. This paper presents a hardware-in-the-loop system for testing the satellite's attitude determination and control system and the Agile framework from software engineering practices to guide resource-effective end-to-end development processes, while maintaining a comprehensive system validation. Experimental results for design verification of satellite's Attitude Determination and Control systems (ADCS) using our ongoing concurrent multiple satellite programs are presented.

关键词： Agile manufacturing systems

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Visible, SWIR, and LWIR Drone Wide Area Coverage sensor systems 34

Visible, SWIR, and LWIR Drone Wide Area Coverage Sensor Syst...

引用

conference on Infrared Imaging systems - Design, Analysis, Modeling, and Testing xxxIV

作者： Leslie, Patrick Chau, Emily Watson, Thomas Furxhi, Orges Jacobs, Eddie Driggers, Ronald Conroy, Joseph Univ Arizona Wyant Coll Opt Sci 1630 E Univ Blvd Tucson AZ 85721 USA Univ Memphis Elect Engn 3795 Cent Ave Memphis TN 38111 USA Army Res Lab 2800 Powder Mill Rd Adelphi MD 20783 USA

ISBN: (纸本)9781510661806;9781510661813

Small Unmanned Aerial systems (sUAS) provide a versatile platform for covering large areas quickly. By adding sensors to these drones, imagery of large areas can be taken for a variety of applications. Traditionally, a fixed staring system or a gimballed sensor is used to take this imagery. Both options require a compromise between field of view (FOV), resolution, scanning speed and flight path to properly perform the task at hand. With more than one type of sensing, additional information can be collected about imaged environments. If more than one sensor is integrated onto the drone, a wide FOV can still be covered without a scanning gimbal and with higher resolution than a traditional wide FOV system. Presented is a multi-camera, multi-wavelength design approach based on a constraining ground sample distance (GSD) for a wide area coverage (WAC) system. A figure of merit (FoM) is created to quantify and compare the performance of the WAC systems in the visible (0.4-0.7um), short wave infrared ( 1.0-1.7um) and longwave infrared (8-14um) in both good and bad visibility conditions. The performance of three optimized and fabricated WAC systems are compared and tested. The testing results of the flown fabricated systems show that the design approach described delivers the expected results.

关键词： Infrared Targeting Wide Area Coverage Photogrammetry Multiple sensors

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Two Port Slotted MIMO Antenna for Wireless sensor Networks 4

Two Port Slotted MIMO Antenna for Wireless Sensor Networks

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4th International conference on Electronics and Sustainable Communication systems, ICESC 2023

作者： Elanseela, D. Surendar, U. Balakumar, A. K. Ramakrishnan College of Engineering Department of Ece Tamil Nadu Trichy India

ISBN: (纸本)9798350300093

A two-slot MIMO antenna in a wireless sensor network is proposed for LTE applications. A two-port antenna is designed using microstrip technology [1], [2]. The proposed antenna dimensions are 39x115mm with an FR-4 substrate with a height of 1.6mm. The bandwidth obtained is 2.3-2.6 GHz, and the S parameter value obtained ranges below -10 dB (s11-10 dB). The stronger the mean effective gain (MEG), total active reflection coefficient (TARC), and envelope correlation coefficient (ECC), current distribution, radiation pattern, and gain are taken in free space. All the above-proposed elements are simulated in a high-frequency structure simulator (HFSS). In the same manner, this study has achieved a low mutual coupling factor (-10 dB), enabling large data sets to travel on the same path. © 2023 IEEE.

关键词： MIMO systems

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AI-Powered Business Intelligence for Smarter Decision-Making and Growth

AI-Powered Business Intelligence for Smarter Decision-Making...

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2024 International conference on Artificial Intelligence and Quantum Computation-Based sensor applications, ICAIQSA 2024

作者： Alijoyo, Franciskus Antonius Pradhan, Rahul Vats, Satvik Rani, V.Kanpur Kholmukhamedov, Timur Karthik, M. School of Business and Information Technology STMIK LIKMI Center for Risk Management and Sustainability Indonesia Bandung Indonesia GLA University Department of Computer Engineering and Applications Mathura India Graphic Era Hill University Department of CSE Dehradun India Graphic Era Deemed to Be University Uttarakhand Dehradun India Hindustan Institute of Technology and Science Department of EEE Chennai India Turin Polytechnic University in Tashkent Management Economics and Humanitarian Disciplines Department Tashkent Uzbekistan K.Ramakrishnan College of Engineering Department of AI & DS Trichy India

ISBN: (纸本)9798331517953

Business intelligence (BI) has become a cornerstone for data-driven decision-making in modern enterprises. With the increasing complexity of data, traditional methods often fall short in providing actionable insights. Machine learning techniques, such as Gradient Boosting Machines (GBMs), offer advanced predictive capabilities that can significantly enhance BI outcomes. This paper explores the application of Gradient Boosting Machines (GBMs) in enhancing BI for better decision-making and operational efficiency. GBMs, a powerful ensemble learning technique, are utilized to predict customer churn based on a comprehensive retail dataset encompassing customer demographics, purchase history, engagement scores, and monetary values. The Proposed Method is implemented using Python Software and demonstrates that GBMs achieve exceptional predictive accuracy of 99.2%, significantly outperforming traditional methods like Decision Tree, SVM, BDMS. Feature importance analysis reveals that 'Recency' (days since last purchase) is the most influential predictor of churn, followed by 'Engagement Score' and 'Monetary Value'. The findings emphasize the model's capability to enhance customer retention strategies, optimize resource allocation, and improve overall business outcomes. Utilizing GBMs, high-risk customers (top 10% predicted probabilities of churn) were targeted with a specialized retention campaign, which led to a 15% reduction in churn rates among this group. The effectiveness of the campaign validates the model's predictions and highlights the practical benefits of integrating GBMs into BI systems. This research underscores the transformative potential of AI-driven techniques in business intelligence, offering actionable insights for businesses seeking to leverage predictive analytics for competitive advantage. © 2024 IEEE.

关键词： Predictive analytics

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