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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791886960

The proceedings contain 912 papers. The topics discussed include: applicability of numerical simulation to the classification of fluid dynamic loss in aeroengine transmission gears;the development and use of a natural gas/oxygen burner rig for environmental barrier coating and ceramic matrix composite technology maturation;development of innovative low NOx hydrogen-fueled burner for aeronautic applications;analysis of different emission metrics for power generation machinery in flexible co-generation energy systems;development of a turbocharger speed sensor using fiber optic coupled optical method;advanced polytropic efficiency and H-S diagram application;compressor design for compact, highspeed electric motors;laser welding in steam turbine rotor recondition;structural characterization of a rapid-prototyped inlet particle separator model for aerodynamic lab testing;supercritical carbon dioxide shock behavior near the critical point;a characteristic-based 1D axial compressor model for stall and surge simulations;strategies for high-accuracy measurements of stage efficiency for a cooled turbine;and mineral composition effects on dust deposition at realistic engine conditions.

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791887080

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IoT based Real Time and Remote Fuel Tank and CNG Gas Tank Monitoring System

IoT based Real Time and Remote Fuel Tank and CNG Gas Tank Mo...

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Trends in Material Science and Inventive Materials (ICTMIM), International conference on

作者： Arulkarthick E K Srivarshini S Suvathi K Yazhini S Department Of ECE Nandha Engineering College (Autonomous) Erode India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Efficient and safe monitoring of fuel and gas levels is critical in modern systems, particularly for vehicles and industrial applications. This project, titled "Fuel and Gas Level Monitoring," introduces an advanced IoT-enabled system that tracks fuel and Compressed Natural Gas (CNG) levels in real-time. By utilizing a combination of sensors—including a level sensor, pressure sensor, and gas sensor— integrated with an Arduino microcontroller, the system ensures accurate measurements and robust safety features. The primary objectives are twofold: real-time monitoring to prevent unexpected shortages and optimize refueling schedules, and enhanced safety by detecting gas leaks or abnormal pressure levels to mitigate potential hazards. Data from the sensors is displayed on an LCD for local monitoring and uploaded to the cloud via Wi-Fi for remote access and analytics. Alerts, both visual and audible, are triggered through the LCD and buzzer for immediate attention in case of critical *** to existing systems that rely on basic fuel-level tracking and limited connectivity, this proposed solution incorporates IoT capabilities for seamless cloud integration, making it more reliable and scalable. It leverages wireless communication for real- time data accessibility, enhancing operational efficiency and safety standards. This innovative system has significant implications for ensuring safety, efficiency, and proactive maintenance in fuel and gas monitoring applications.

关键词： Wireless communication Cloud computing Schedules Fuel storage Real-time systems Liquid crystal displays Hazards Fuels Monitoring Wireless fidelity

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791887028

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Strategic Placement of Intrusion Detection systems in IoT Mesh Networks through Machine Learning 23

Strategic Placement of Intrusion Detection Systems in IoT Me...

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10th International conference on Networking systems and Security, NSysS 2023

作者： Perala, Samhitha Reddy, Manaswitha Ravindran, Sharvari Gvk, Sasirekha Bapat, Jyotsna Karnataka Bangalore India

ISBN: (纸本)9798400708787

The usage of Bluetooth Low Energy (BLE) mesh networks in Internet of Things (IoT) applications, such as healthcare gives it several advantages such as resilience to network disrupts and better coverage. However, mesh networks are prone to complex attacks, comprising multiple individual attacks like Denial of Service (DoS), Man-in-the-Middle (MitM) and so on. These are referred to as multi-stage attacks that can drastically deteriorate the network's performance. The need to detect such attacks has been well investigated and several Intrusion Detection systems (IDS) for detecting and mitigating attacks in mesh networks have been developed. However, the deployment of IDS for monitoring intrusions is costly in terms of computations and the power required. Hence, achieving the maximum probability of intrusion detection through strategic placement for a given limited number of IDS is the challenge. In this paper, Machine Learning (ML)-based analysis is proposed to determine the suitable positions for the IDS on relay nodes of the BLE mesh network. In comparison to the graph theoretical methodology proposed in the prior art, the approach discussed in this paper considers practical aspects, such as the network topology, underlying routing protocol, routing path of the application and variation in the traffic metrics with and without attack. © 2023 ACM.

关键词： Internet of things

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791887073

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Automatic Liquid Level Control of Two Tank System using PLC

Automatic Liquid Level Control of Two Tank System using PLC

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Deepa S. Bhandare V. S. Jape H.H. Kulkarni S.M. Mahajan Parth Sable Yash Pawar Dept. of Electrical Engineering PES’s Modern College of Engineering Shivajinagar Pune-5 Department of Electrical Engg Dr. D. Y Patil Institute of Technology Pimpri Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

This paper presents a comprehensive study on the effective management of liquid levels in industrial settings is crucial for ensuring operational safety, productivity, and resource conservation. The water level control problem is a common issue in the industry, which has been thoroughly examined in various studies. This paper specifically concentrates on developing and executing a water level control system based on a Programmable Logic Controller (PLC). The paper has one main goal designing the PLC- based control model for tank level control for a couple of tank systems. This paper is centered on the deployment of a MIMO as well as SISO liquid level monitoring system utilizing Programmable Logic Controller (PLC) technologies to develop a sophisticated control system that can accurately measure and regulate liquid levels in tanks or containers. sensors are utilized to collect precise level data, which is then processed by the PLC to activate control mechanisms. PLC can provide a user-easy control interface.

关键词： Liquids Programmable logic devices Process control Water conservation Control systems sensor systems and applications Level control Water resources Monitoring Intelligent sensors

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Model Predictive Control for Stormwater Reservoirs: Investigating Effects of Climate Change and Urbanization

Model Predictive Control for Stormwater Reservoirs: Investig...

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IEEE conference on Control Technology and applications (CCTA)

作者： Gomes, Marcus N., Jr. Giacomoni, Marcio H. Taha, Ahmad F. Mendiondo, Eduardo M. Univ Texas San Antonio Dept Civil & Environm Engn 1 UTSA CircleBSE 1-310 San Antonio TX 78249 USA Univ Texas San Antonio Dept Civil & Environm Engn 1 UTSA CircleBSE 1-346 San Antonio TX 78249 USA Vanderbilt Univ Dept Civil & Environm Engn Jacobs HallOff 29324th Ave South Nashville TN 37235 USA Univ Sao Paulo Sao Carlos Sch Engn Dept Hydraul Engn & Sanitat BR-13566590 Sao Carlos Brazil

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

Today's stormwater systems are not designed for the adverse effects of climate change and deep urbanization. These effects can increase the magnitude of floods and cause significant damages and fatalities. A typical solution for flood control in urban areas is the implementation of stormwater reservoirs. These reservoirs typically require space which can be very costly in densely populated cities. In contrast to this investment-heavy solution, retrofitting current systems with advanced flow sensors and controllers (i.e., orifice valves and variable speed pumps) can provide alternatives to flood management by allowing optimal, real-time control. In this paper, we investigate the performance of controlled and uncontrolled stormwater reservoirs against combined Scenarios of urbanization and climate change. To this end, we develop a novel state-space, dynamic model representing watersheds, reservoirs, and one-dimensional channels hydrodynamic processes. We also develop a model predictive control (MPC) algorithm to optimally determine valve operations in stormwater reservoirs, by focusing on decreasing the flood effects in downstream channels. Results reveal that MPC yields significantly better flood control, compared to passive, model-unaware control strategies. The results illustrate the need for more modeldriven control algorithms for climate change-aware control of stormwater systems.

关键词： Climate change Urban areas Reservoirs Climate change Prediction algorithms sensor systems Real-time systems

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Machine Learning based Wild-Animal Detection near Roads using IoT sensor and Optimization

Machine Learning based Wild-Animal Detection near Roads usin...

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： S. Simonthomas K. Rohith K.Shantha Shalini Department of Computer Science and Engineering Aarupadai Veedu Institute of Technology Chennai India Department of Artificial Intelligence and Data Science Aarupadai Veedu Institute of Technology Chennai India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

The increasing incidence of vehicle-animal collisions poses significant risks to both human and wildlife safety. To address this challenge, the implementation of IoT (Internet of Things) sensor networks for wild-animal detection near roads offers a promising solution. This paper explores the design and deployment of an IoT-based system aimed at detecting the presence of wild animals near roadways, thereby enhancing road safety and wildlife conservation. The proposed system utilizes a network of infrared (IR) sensors, motion detectors, and cameras strategically placed along road sections prone to wildlife crossings. These sensors continuously monitor the area, and upon detecting an animal, they transmit real-time data to a central processing unit via wireless communication protocols. The system then processes this data to generate immediate alerts for drivers through connected road signs or mobile applications, warning them of potential hazards ahead. Additionally, the collected data is stored and analyzed to understand animal movement patterns, which aids in making informed decisions about further preventive measures and the placement of wildlife crossings. The incorporation of machine learning algorithms improves the system’s precision in distinguishing between different types of animals and minimizing false alarms. This IoT sensor network not only mitigates the risk of accidents but also contributes to the conservation of wildlife by preventing unnecessary fatalities. This project explores the use of Genetic Algorithms (GA) to optimize a detection system that can identify wild animals near roadsides. The paper summarize with a discussion on the effectiveness of the system, potential challenges in implementation, and outlines future pathways for research and innovation in this domain.

关键词： Wireless communication Machine learning algorithms Wildlife Machine learning Road safety Real-time systems Internet of Things Monitoring Genetic algorithms Vehicles

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Current State and Design Recommendations of Exoskeletons of Lower Limbs in Military applications 8th

Current State and Design Recommendations of Exoskeletons of ...

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8th International conference on Modelling and Simulation for Autonomous systems (MESAS)

作者： Leova, Lydie Cubanova, Slavka Kutilek, Patrik Volf, Petr Hejda, Jan Hybl, Jan Stastny, Petr Vagner, Michal Krivanek, Vaclav Czech Tech Univ Fac Biomed Engn Sitna Sq 3105 Kladno Czech Republic Charles Univ Prague Fac Phys Educ & Sport Jose Martiho 31 Prague Czech Republic Univ Def Fac Mil Technol Kounicova 65 Brno Czech Republic

ISBN: (纸本)9783030982607;9783030982591

With the development of new wearable technologies, the use of exoskeletons is gradually gaining ground in the world's advanced militaries. The aim of this paper is to explore the current status of exoskeletons and describe the requirements of exoskeletons for military use towards the specifics of use. The most important movement of a soldier in the field is walking, and therefore the analysis of the current state will focus primarily on lower limb exoskeletons and their subsystems. The paper will compare active and passive lower limb exoskeletons and their use in military practice. Subsequently, the requirements for individual subsystems of the mechatronic system of the exoskeleton will be specified. sensor subsystems, actuator subsystems, control subsystems and man-machine interface will be described. Recommendations for further analysis and use of exoskeletons in the military can thus contribute not only to increased performance but also to the safety of the users themselves - individual soldiers.

关键词： Exoskeleton Lower limbs Military

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