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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6868 条记录，以下是1081-1090 订阅

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Enhancing Agricultural Yield Predictions with Real-Time IoT sensor Data and Machine Learning Integration

Enhancing Agricultural Yield Predictions with Real-Time IoT ...

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IoT Based control Networks and Intelligent systems (ICICNIS), International conference on

作者： Chandiraprakash. N A. Chinnasamy M Ashok Department of Artificial intelligence and machine learning Malla Reddy College of Engineering Hyderabad India Department of Data Science and Business Systems school of computing SRMIST kattankulathur campus Chennai India Malla Reddy College of Engineering Hyderabad India

ISBN: (数字)9798331518097

ISBN: (纸本)9798331518103

This research extends previous studies on the effects of climate change on agricultural yield predictions by integrating advanced Machine learning (ML) methods with real time environmental sensing data. It builds on the basic usage of Long Short-Term Memory (LSTM) and Random Forest (RF) methods by employing real time data streams from IoT based field sensors that measure soil moisture, nutrient levels and pest activity. The aim is to enhance the prediction model's adaption to changing climatic circumstances, therefore increasing their utility in agricultural management. This study proposes a dynamic adaptation feature that uses real time data to make timely adjustments to crop management predictions. Moreover, the integration of Convolutional Neural Network (CNN) with LSTM is being investigated to increase the spatial and temporal accuracy of these predictions. By integrating conventional climatic data with detailed micro environmental elements from IoT sensors, this method obtains a aspects which affects the crop growth. This study also focuses on developing a userfriendly interface that allows farmers to easily access predictive developments and recommendations, allowing for more informed decision making. This technique is predicted to make substantial advances in precision agriculture, giving more effective methods for regulating agricultural productivity in dynamic climatic variability. These results may improve food security and sustainability by optimizing resource utilization and reducing the environmental impact of farming operations.

关键词： Precision agriculture Accuracy Decision making Crops Predictive models Real-time systems sensors Convolutional neural networks Long short term memory Farming

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Moving Gas Geochemical Analysis from Lab to Field by advanced Gas sensor for Onsite Fluid Characterization and Time-Lapse Monitoring

Moving Gas Geochemical Analysis from Lab to Field by Advance...

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2021 SPE Middle East Oil and Gas Show and conference, MEOS 2021

作者： Luo, Pan Harrist, Jonathan Mesdour, Rabah Stmichel, Nathan Saudi Aramco Aramco Americas

ISBN: (纸本)9781613997727

Natural gas is sampled or produced throughout the lifespan of a field, including geochemical surface survey, mud gas logging, formation and well testing, and production. Detecting and measuring gas is a common practice in many upstream operations, providing gas composition and isotope data for multiple purposes, such as gas show, petroleum system analysis, fluid characterization, and production monitoring. Onsite gas analysis is usually conducted within a mud gas unit, which is operationally unavailable after drilling. Gas samples need be taken from the field and shipped back to laboratory for gas chromatography and isotope-ratio mass spectrometry analyses. Results take a considerable time and lack the resolution needed to fully characterize the heterogeneity and dynamics of fluids within the reservoir. We are developing and testing advanced sensing technology to move gas composition and isotope analyses to field for near real-time and onsite fluid characterization and monitoring. We have developed a novel QEPAS (quartz-enhanced photoacoustic spectroscopy) sensor system, employing a single interband cascade laser, to measure concentrations of methane (C1), ethane (C2), and propane (C3) in gas phase. The quartz fork detection module, laser driver, and interface are integrated as a small sensing box. The sensor, sample preparation enclosures and a computer are mounted in a rack as a gas analyzer prototype for the bench testing for oil industry application. Software is designed for monitoring sample preparation, collecting data, calibration and continuous reporting sample pressure and concentration data. The sensor achieved an ultimate detection limit of 90 ppb (parts per billion), 7 ppb and 3 ppm (parts per million) for C1, C2, and C3, respectively, for one second integration time. The detection limit for C2 made a record for QEPAS technique, and measuring C3 added a new capability to the technique. However, the linearity of the QEPAS sensing were previously reported

关键词： Gases

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Acoustic emission structural monitoring through low-cost sensor nodes 10

Acoustic emission structural monitoring through low-cost sen...

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10th International conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021

作者： Bogomolov, Denis Testoni, Nicola Zonzini, Federica Malatesta, Michelangelo Maria de Marchi, Luca Marzani, Alessandro Advanced Research Center on Electronic Systems University of Bologna Bologna40126 Italy Department of Electrical Electronic and Information Engineering University of Bologna Bologna40136 Italy Department of Civil Chemical Environmental and Materials Engineering University of Bologna Bologna40136 Italy

In this work, we propose an innovative, low-cost and low-weight sensor Node (SN) which can yield fast deployable sensor networks for long-term and real-time acoustic emission (AE) monitoring. Thanks to the interface and architecture of the developed system, Digital Signal Processing (DSP) functionalities were embedded in the proposed SN which are exploited for AE features extraction and signal characterization, compliant with a complete Structural Monitoring analysis. The on-board DSP strategy, performed in close proximity to AE transducers at monitoring facility, permits to significantly minimize the sensitivity to external noise which is the key reason for the poor signal-to-noise ratio of AE equipment in situ. The results of versatile testing experimental campaign demonstrated the applicability of the developed low-cost AE prototype to confidently detect and monitor AE activity in various materials. © 2021 International conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.

关键词： sensor nodes

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BTS7960 Motor Drive: Precision Speed Modulation for PMDC Motors

BTS7960 Motor Drive: Precision Speed Modulation for PMDC Mot...

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Advancement in Technology (ICONAT), International conference for

作者： Vilas Bugade Pritam Chougale Pranav Katkar Sakshi Lavhate Abhaysinh Bhosale Marathwada Mitra Mandals College of Engineering Pune Maharashtra India KIT’s College of Engineering Kolhapur Maharashtra India

ISBN: (数字)9798350354171

ISBN: (纸本)9798350354188

This research introduces a control system tailored for Permanent Magnet DC (PMDC) motors. The project encompasses the meticulous selection of high-current DC motors suitable for the intended application and their seamless integration with the BTS7960 motor driver. These yet em harnesses Pulse Width Modulation (PWM) signals characterized by a stable frequency and adjustable duty cycles spanning from0To dictate the direction of motor rotation, the system employs an H-bridge circuit methodology in conjunction with a 3-position switch, endowing operators with the capability to specify either forward or reverse motion. An integrated monitoring system operates in tandem, actively capturing and report in critical metrics such as rotational speed, current, and voltage. The motor’s rotational speed becomes a highly adaptable parameter, subject to precise adjustments through the manipulation of armature voltage settings in conjunction with the dynamic duty cycle of the PWM signal. At the heart of this system lies the Arduino micro controller, as user-friendly interface that empowers users to effortlessly oversee motor speed, direction, and other pertinent parameters. Performance evaluations of the PM DC motor have affirmed its consistent torque output, resilient even amidst transitions between low and high rotational speeds. Furthermore, the system exhibits the remarkable capability to receive external commands from various sources and sensors, there by endowing it with the ability to operate autonomously and remotely. This amalgamation of functionalities culminates in the creation of a robust system, one that adeptly and efficiently controls high-current DC motors. This project unveils its relevance across a multitude of domains, finding practical application in fields such as robotics, automation, and industrial contexts where the meticulous regulation of powerful motors is of paramount importance. In summary, this project is imbued with considerable potential, offering inn

关键词： Motor drives Velocity control Electromagnetic interference Pulse width modulation DC motors sensor systems Permanent magnets sensors Reliability Vehicles

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A Novel Triple Radar Arrangement for Level 2 ADAS Detection system in Autonomous Vehicles

A Novel Triple Radar Arrangement for Level 2 ADAS Detection ...

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IEEE conference on systems, Process & control (ICSPC)

作者： Javad Enayati Yeshwanth Jonnalagadda Pedram Asef Dept. Engineering and Technology University of Hertfordshire Hatfield United Kingdom Dept. Electronic and Electrical Engineering University of Bath Bath United Kingdom

ISBN: (纸本)9781665470995

The main functions of automated systems rely on advanced sensors for the detection and perception of the environment around the vehicle. Radars and cameras are commonly utilized to detect potential obstacles and vehicles ahead on the road. Nevertheless, cameras can generate spurious detections in extreme weather conditions, such as fog, rain, dust, snow, dark, and heavy sunlight in the sky. Due to limitations in the vertical field view of the radars, single radars are not reliable to detect the height of the targets precisely. In this paper, an innovative triple radar arrangement (long-range, medium-range, and short-range radars) with a sensor fusion technique is proposed to detect objects of different sizes in the level 2 advanced Driver-Assistance (ADAS) system. The typical objects including trucks, pedestrians, and animals are detected in different scenarios. The developed model considered ISO 26262 and ISO/PAS 21448 to reasonably address insufficient robustness and the inability of the sensors. The models of sensor and level 2 ADAS systems are developed using MATLAB toolbox and Simulink. sensor detection performance is determined by running simulations with a triple radar setup. Obtained results demonstrate that the proposed approach generates accurate detections of targets in all tested scenarios.

关键词： Software packages Snow Radar detection Radar sensor fusion Cameras sensor systems

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Design & Development of IOT based Vertical Farming Monitoring system

Design & Development of IOT based Vertical Farming Monitorin...

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Artificial Intelligence and Smart Communication (AISC), International conference on

作者： Krishanu Kundu Soubhagya Sharma Bharat Bhardwaj Raveendra Muddineni Amrita Rai Dept. of Electronics & Comm. Engg G.L. Bajaj Institute of Technology & Management Greater Noida India Advanced R&D and RF Centre Rapidtek Technology Inc New Taiapei Taiwan

The practice of vertical farming has gained popularity in peak development nations. Vertical farming is challenging to implement, though, because even little modifications to the environment can have a significant impact on the effectiveness and caliber of farming operations. As a result, the purpose of this paper is to offer a monitoring system for vertical farming that will assist in keeping track of the physical conditions of crops. The microcontroller will receive the data from the many sensors utilized in this system as either analogue input or digital input. After that, microcontroller will analyze the data and upload it to the Cloud. Additionally, the system will keep track of the location of the active equipment, making maintenance easier in the event that something breaks down. It is anticipated that the culture of vertical farming would develop, leading to a considerable rise in crop output and quality.

关键词： Temperature Microcontrollers Crops Prototypes Soil sensor systems Temperature control

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Exclusively Automated Agricultural Engineering system using PLC-HMI and ZigBee based WSN

Exclusively Automated Agricultural Engineering System using ...

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International conference on Automation, Signal Processing, Instrumentation and control, i-CASIC 2020

作者： Priyadharson, A. Selwin Mich Joshua, S. Vinson Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India

ISBN: (纸本)9789811582202

This work, design and development of an agricultural engineering system are to support farmers. A real-time process control station, solar power plant and ZigBee station along with programmable logic control-human–machine interface (PLC-HMI) are fabricated. Water, pesticides and sufficient nutrients will be sprinkled automatically by PLC at desired intervals of time and emergency circumstances. Utilizing this agricultural engineering system, the depletion of soil fertility and nutrients in the soil will be balanced by sprinkling organic nutrients. The soil pH value is retained by getting actual soil pH value based on continuous feedback from soil pH sensor for avoiding low and high soil pH value. The infection in the crops will be eradicated by sprinkling organic pesticides. To maintain soil moisture, anemometer, air and humidity sensor are utilized for precise water sprinkling. All the sensors in the agriculture field will be communicated to the control room using ZigBee-based wireless sensor network (WSN). Using HMI, sprinkling of water, nutrients and pesticides will be monitored. During emergency, sprinkling can be performed by pressing button in HMI. As outcome of this system, the farmers’ field stress will be reduced with additional benefits such as high harvest and efficient water consumption. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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Near Geogrid Stiffness Quantification in Airport Pavement Base Layers Using Bender Element Field sensor 4th

Near Geogrid Stiffness Quantification in Airport Pavement Ba...

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4th International conference on Transportation Geotechnics, ICTG 2021

作者： Kang, Mingu Qamhia, Issam I. A. Tutumluer, Erol Flynn, Murphy Garg, Navneet Villafane, Wilfredo University of Illinois at Urbana-Champaign 205 N Mathews Ave UrbanaIL61801 United States Federal Aviation Administration Airport Technology R&D Branch William J. Hughes Technical Center Atlantic CityNJ08045 United States

ISBN: (纸本)9783030772338

Geogrids are widely used for unbound aggregate base stabilization in flexible pavements. A new field evaluation methodology for quantifying the effects of geogrids on stiffness enhancement of unbound aggregate layers is demonstrated in this paper. The method utilizes a bender element field sensor, which measures the shear wave velocity transmitted between a source and receiver pair of bender element (BE) transducers and relates that to the localized stiffness. The paper introduces the new methodology and discusses the recent measurements obtained from a geogrid–aggregate system stiffened zone in the full-scale Construction Cycle 9 (CC9) pavement test sections constructed at the Federal Aviation Administration’s (FAA’s) National Airport Pavement Test Facility (NAPTF) in New Jersey. The aggregate materials used in the construction of the base and subbase layers were in accordance with the FAA-designated P-209 and P-154 specifications, respectively. A biaxial geogrid was placed at the interface between the subbase and base in the "North" test section. Two BE field sensors were installed in this "North" geogrid-stabilized section at 25 mm (1-in.) and 102 mm (4 in.) above the geogrid location. A third sensor was installed in the "South" control section with no geogrid at 25 mm (1 in.) above the bottom of the base layer. Shear wave signals were collected before and after base layer compaction, and shear wave velocities were calculated. The BE field sensor measurements clearly indicated that stiffness enhancement was achieved in the proximity of the geogrid, and that such effect of a stiffness enhancement diminished at about 102 mm (4 in.) away from the geogrid. The findings of this study are illustrated in this paper to quantify the magnitude and extent of the local stiffened zone near a geogrid. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Shear waves

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A CNN-based Audio sensor for Rainfall Estimation: Implementation on Embedded Board 11

A CNN-based Audio Sensor for Rainfall Estimation: Implementa...

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11th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems - Technology and Applications (IDAACS)

作者： Russo, Michele Puglisi, Valerio Francesco Avanzato, Roberta Beritelli, Francesco VICOSYSTEMS SRL Viale Odorico da Pordenone I-95128 Catania Italy Univ Catania DMI Viale Andrea Doria 6 I-95125 Catania Italy Univ Catania DIEEI Viale Andrea Doria 6 I-95125 Catania Italy

ISBN: (纸本)9781665426053

At present, one of the main issues of interest is climate change. It triggers calamitous phenomena (fires, hydrogeological instability and many others) that put crops, vegetation and even human beings at risk. Considering the phenomenon of hydrogeological instability, there is a wide range of smart application contexts (for example, smart city, smart road and smart agriculture), which require a real-time rainfall level monitoring, recognition and classification system. This system is supposed to provide accurate and real-time estimates of rain intensity and alert those in charge in order to reduce the risks associated with the various application contexts. Thus, the present paper proposes an audio sensor enabled real-time audio rainfall classification, based on 1-D convolutional neural network (CNN) which offers 95% classification accuracy in five rainfall intensity classes.

关键词： Audio classification Enviroment sound classification Feature extraction techniques Convolutional Neural Networks Multimodal Analysis Rainfall Estimation

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Enhanced Robot Position control Using Force Information for Mobile Robots Influences of Obstacles on Cooperative Work 9

Enhanced Robot Position Control Using Force Information for ...

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IEEE 9th International conference on Information, Communication and Networks (ICICN)

作者： Ishibashi, Yutaka Huang, Pingguo Psannis, Kostas E. Nagoya Inst Technol Nagoya Aichi Japan Gifu Shotoku Gakuen Univ Gifu Japan Univ Macedonia Thessaloniki Greece

ISBN: (纸本)9780738113456

This paper enhances the robot position control using force information, which was previously proposed, for collaborative work between two mobile robots having force sensors to respond to sudden changes in the position of each mobile robot owing to obstacles such as holes and stones. When the mobile robots carry an object together while moving on uneven ground, the object may be broken by too large force applied to it if the difference in the position between the two robots becomes large. The enhanced control tries to adjust the positions quickly to reduce the force by absorbing the difference based on force sensed by the force sensors. In our experiment, the paper demonstrates that the control largely mitigates influences of obstacles on cooperative work by emulating mobile robots in our remote robot systems with force feedback.

关键词： remote robot system force feedback force sensor haptic interface device cooperative work experiment

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