Cab booking services help people order taxis. Existing cab booking services use client server-based architecture. The paper gives a study of the architecture and workings of the Uber cab booking website (Dissanayake, ...
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Unmanned aerial vehicles (UAVs), or drones, are transforming surveillance strategies in various fields, including border security and wildlife conservation. Their ability to monitor large, challenging areas in real ti...
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This research paper inscribes an alarming need for effective bridge health monitoring and controlling amid growing concerns over structural integrity and safety. India has been inherited by n number of rail bridges an...
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ISBN:
(纸本)9798350355611
This research paper inscribes an alarming need for effective bridge health monitoring and controlling amid growing concerns over structural integrity and safety. India has been inherited by n number of rail bridges and roadway bridges over valleys, rivers, hills etc. since british era. Many bridges in urban India near rivers face deterioration over time despite remaining operational. This poses risks to users due to factors like heavy vehicles, rising water levels, pressure variations, and heavy rainfall all potentially leading to collapses and disasters. Apart from these usual factors, earthquake is also one of the most disastrous factor which poses a great risk to the safety and structural integrity of bridges. Hence, it is of an utmost importance that periodic audits of structural integrity and safety of these bridges is critically evaluated. In this study we put forward development of a smart bridge system equipped with a network of sensors controlled using IoT system. We have developed a model prototype of a smart bridge wherein, sensors monitor and responds to variables such as water levels and structural deflections, vibrations, object detection etc. on a real time basis. The sensors we used included flex sensors which monitor deflections, IR sensors to detect objects, water sensors monitoring water level and vibration sensors. In addition to the conventional parameter evaluation, application of the modern sensor based techniques in combination with IoT controlling provide an enhanced system for monitoring of structural integrity and safety of the bridges. Should any monitored parameter exceed its safe threshold signifying a risk of collapse, the system triggers alerts via a monitoring system and activates automatic barriers. Additionally, the controlling system codes provide multidimensional approach of monitoring. This proactive approach aims to enhance safety and prevent potential disasters caused by bridge failures. Daily analysis carried out on the data
AI and other advanced technologies are gradually beginning to invade the agriculture sector to serve the increasing demand of the consumers for better methods of food production. A key component of precision agricultu...
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In order to solve the issues/problems existing in the current public health emergency management system in China, such as imperfect cross-sectoral collaborative management model, incomplete emergency response mechanis...
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This research paper introduces an innovative approach to optimize repair of failed computer Numerical Control (CNC) machines within CNC machining workshops by leveraging queueing theory. The proposed model addresses a...
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The proceedings contain 37 papers. The special focus in this conference is on Russian Automation. The topics include: Mapping and Path Planning Methods for Highly Automated Vehicles in Agriculture;morphological Analys...
ISBN:
(纸本)9783031824937
The proceedings contain 37 papers. The special focus in this conference is on Russian Automation. The topics include: Mapping and Path Planning Methods for Highly Automated Vehicles in Agriculture;morphological Analysis and Synthesis Features of Technological Processes;a Modern Method of Wireless Control of Unguarded Railway Crossings;duties and Obligations of the Railway Staff Concerned When the Microprocessorized Contactless Controlling Gauge Device Signal Is Triggered;integration of Automated Management systems for Enterprises’ Transport and Technical Services;development of an Automation Module for Planning Trajectories for Painting Aircraft Fuselage Elements;identification of Metal Sheets in the Flow, Based on the Marking Imprint, Using Neural Networks;study of the Performance of Adaptive Sensor Networks for Collecting and Processing Thermoelectric Data;development and Research of a Cartographic Model for Municipal Planning as the Basis of an Intelligent Geoinformation system;BIM Visual Programming of Bionic Architecture Construction Using Dynamo and Revit;development of a Model and Algorithms for Trigger Control of Technological Processes of Resource Provision;system for Statistical Assessment of Means of Controlling Engineers’ Qualification for Information Support to Manage the Recruiting Process in Industry;smart Enumeration Technology;comparative Analysis of C-Band Conical Horn Antenna Sparse Structures Characteristics at Different Frequencies;software Implementation of Heuristic Methods of Optimization and Integration into a Cloud Service;computersystem for modeling Fluid Flow Around Bodies and Its Potential in Industry;the Effect of Regular and Irregular Segmentations on Characteristics and Charge Distribution Densities of Microstrip Lines;reinforcement Learning with External Teacher for Building Energy Management.
In this research paper, we present the design and implementation of an AI assisted interactive framework for data modeling and high resolution image synthesis that leverages both state of the art latent diffusion mode...
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Financial sector demands precise forecasting models to mitigate risk and optimize asset management. This study presents a novel Hybrid GRU-Transformer Model that integrates Gated Recurrent Units (GRUs) for capturing l...
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Effective management and integration of data from multi-source heterogeneous automation subsystems in mines is a current industry problem. Problems such as inconsistent equipment models and inconvenient collection and...
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ISBN:
(数字)9798331533816
ISBN:
(纸本)9798331533823
Effective management and integration of data from multi-source heterogeneous automation subsystems in mines is a current industry problem. Problems such as inconsistent equipment models and inconvenient collection and configuration need to be solved urgently. Analyze the mine's main electromechanical equipment and its attribute information, establish a unified equipment object model and data object model, and develop an Internet of Things equipment sensor monitoring data configuration management system for PLC, OPC, TCP and other protocols. The system has functions such as online visual configuration of equipment object attribute information, autonomous selection of collection protocols, and adaptive configuration of distributed parsing services. Field application shows that the system improves the collection efficiency of massive heterogeneous data, reduces the difficulty of operation and maintenance, and accelerates the construction of intelligent mines, which has certain reference value.
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