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AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Lewis, Terrence D. Ali, Hassan Freeman, Kenneth Secure Airspace Technology Group Aeronautics Projects Office NASA Ames Research Center Moffett FieldCA94035 United States Science & Technology Corporation Moffett FieldCA94035 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper explores the development of a cybersecurity architecture tailored for Extensible Traffic Management (xTM) to address emerging challenges in managing diverse aerial vehicles within the National Airspace System (NAS). Driven by technological advances and the rise of uncrewed aerial systems (UAS), urban air mobility (UAM), and high-altitude traffic (ETM), the NAS is undergoing a paradigm shift. Traditional air traffic management, reliant on traditional Federal Aviation Administration (FAA) control, will give way to decentralized coordination among autonomous and semi-autonomous systems. The proposed xTM Security Architecture, designed as a high-level framework, focuses on ensuring the confidentiality, integrity, and availability of data and operations in this evolving ecosystem. Utilizing threat modeling, the research identifies potential risks across key flight phases, operations and use cases to offer security control recommendations. Key objectives include analyzing interactions between novel airspace entrants and existing NAS traffic, cataloging vulnerabilities, and developing mitigative strategies to ensure safety, operational stability, and secure data exchanges. This research lays the groundwork for regulatory and industry adaptation, providing critical insights into managing cybersecurity risks in this complex, multi-domain environment. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Air traffic control

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Secure Travel Planning Using a Heuristic Algorithm

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Periodica Polytechnica Transportation Engineering 2025年第1期53卷 50-57页

作者： Mahdi, Ali Jamal Esztergár-Kiss, Domokos Department of Transport Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Műegyetem rkp. 3. Budapest1111-H Hungary Department of Construction and Projects University of Anbar 55 Ramadi P.O.Box: 55431 Baghdad Ramadi31001 Iraq

Security perception in the urban area has a significant effect on travel behaviour, preferences, and tour planning. The perceptions of security risks can vary depending on factors, such as age, gender, and previous experiences. This study aims to consider security risks when developing travel plans and schedules for various activities. An improved heuristic algorithm, based on the Travelling Salesman Problem with security parameter and flexibility aspects, is proposed. Public transport is considered in three situations: fixed, flexible, and flexible-security situations. The outcomes demonstrate that the flexible situation significantly decreases travel times by 21% compared to the basic (fixed) situation. At the same time, with a slightly increased travel time the security risk can be avoided in the flexible-security situation. Travelers can enjoy a higher quality of travelling and enhanced personal experience by minimizing the journey duration and the impact of security risks on the tour schedule. The proposed method provides significant benefits for transport operators by increasing the efficiency of the transportation system and higher customer satisfaction. © 2025 Budapest University of technology and Economics. All rights reserved.

关键词： Heuristic algorithms

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A Soft Switched Coupled Inductor based Interleaved Buck-Boost Converter for LED Driver 4

A Soft Switched Coupled Inductor based Interleaved Buck-Boos...

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4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Arunachalam, Aakash Karuppusamy, Suganthi Vijaya Varshini, K. Karthickeyan, M. Wood India Engineering and Projects Private Limited Chennai India Sri Venkateswara College of Engineering Kanchipuram India Lennox International Technology Center Chennai India

ISBN: (纸本)9798350343670

A soft-switched, multi output converters for LED drivers is presented. A LED driver is an electrical circuit, which is used to power the Light Emitting Diode. The paper presents the two Buck-Boost converters, in which the inductors of those converters are interleaved. To achieve this, a coupled inductor is used. This interleaved technique, makes the active switches to operate at Zero Voltage Switching (ZVS) and the diodes to operate at Zero Current Switching (ZCS). In addition, the interleaving technique also reduces the ripples in the current of the inductors. As a result, the loss becomes less, and the component size and cost will be reduced. The paper presents the circuit with two outputs-Buck and Boost. According to the simulation results, it is observed that all the semiconductor devices are operated at either ZVS (or) ZCS with high circuit efficiency. © 2024 IEEE.

关键词： Buck-Boost Converter LED Driver Single Inductor Multi Output (SIMO) Zero Current Switching Zero Voltage switching

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Estimation of Water Cut, Gas Oil Ratio and Inflow Parameters for Deep Water Wells with Infrequent Well Tests Using Regression-Based Method

Estimation of Water Cut, Gas Oil Ratio and Inflow Parameters...

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2023 SPE Annual Technical Conference and Exhibition, ATCE 2023

作者： Nandanwar, Manish Lolla, Sri Pareek, Aditya Pandya, Rohan Gupta, Robin Kedia, Kushal ExxonMobil Services & Technology Private Limited Karnataka Bengaluru India ExxonMobil Global Projects Company SpringTX United States

ISBN: (纸本)9781613999929

Real-time production surveillance and optimization requires availability of predictive well models with reasonable accuracy that can estimate production rates in response to change in operating conditions. These models that are mostly physics based are parameterized in terms of gas oil ratio (GOR), water cut (WC), productivity index (PI), and reservoir pressure. Further, the models are tuned using measured data namely production rates of oil, water, gas, and pressure measurements such as downhole gauge pressure, wellhead and flowline pressures that are captured during a well test. For mature oil fields where, well tests are infrequent or sensors start malfunctioning, relevant data required for model tuning is no longer available. In absence of updated models, real-time predictions tend to deviate with time compared to the observed data resulting in less reliable well rate allocation and production optimization recommendations, if any. This work describes a regression-based technique and its application for predicting quantitative as well as directional changes in well parameters between well tests that can be used to improve well allocations. A regression method that estimates well parameters while minimizing a non-linear least square loss function derived from deviation between measured and model-based estimates of rate and pressure data is implemented. The method can estimate well parameters for both an individual and multiple wells simultaneously while solving for a network of wells connected to production separator using IPM GAP. The application of the method to a subsea asset is demonstrated while evaluating its performance for different scenarios comprising variation in number of wells and well parameters. Additionally, the capability of the method to predict directional changes in well parameters is demonstrated by validating it against historical data. The estimates from regression method were found within 5% difference compared to well parameters obtained f

关键词： Degrees of freedom (mechanics)

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Sustainable Agriculture: An IoT-Based Solution for Early Disease Detection in Greenhouses 17

Sustainable Agriculture: An IoT-Based Solution for Early Dis...

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17th International Conference on Engineering of Modern Electric Systems, EMES 2023

作者： Khuwaja, Komal Aliza, Aliza Mukhtiar, Noorain Tarca, Radu Noje, Dan Juman, Mansoor Ali, Bilawal Mehran University of Engineering & Technology Department of Electronic Engineering Jamshoro Pakistan University of Oradea Rdi Programs and Projects Department Oradea Romania

ISBN: (纸本)9798350310634

The Internet of Things (IoT) is a cutting-edge paradigm that involves the interconnection of multiple advanced sensors and peripheral devices to enable the automation and orchestration of various complex systems. In the agricultural context, smart devices are utilized to acquire and transmit data from a diverse range of sensors that monitor intricate environmental parameters crucial to ensuring optimal plant growth. These factors encompass but are not limited to humidity, temperature, soil moisture, and water pH. Continuous monitoring and control of these environmental aspects are essential for maximizing plant growth and yield. Manual disease monitoring is labor-intensive and requires specialized expertise in plant pathology. To overcome these challenges, convolutional neural network models employing deep learning techniques have been developed to detect and diagnose diseases in plants. Our models utilize images of diseased plant leaves to accurately classify the health status of plants. The dataset includes healthy plants, as well as those affected by Bacterial Blight, Anthracnose Bacteria, and Thrips insects. The proposed IoT framework can significantly enhance crop monitoring, enabling farmers to manage their crops effectively and increase productivity through state-of-the-art technologies. © 2023 IEEE.

关键词： Greenhouses

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Non-Metallic technology Deployment for the Next Generation of ADNOC Production Facilities

Non-Metallic Technology Deployment for the Next Generation o...

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2021 Abu Dhabi International Petroleum Exhibition and Conference, ADIP 2021

作者： Burke, Raymond Nicholas Al Tamimi, Abdallah Mohd A.R. Al Shouly, Wael Salem Baetsen, David Erik ADNOC Technology ADNOC Projects

ISBN: (纸本)9781613998342

Industry-wide, the degradation and corrosion of steel infrastructure and the associated maintenance to prevent or mitigate this, poses a heavy environmental and operational burden across many industry segments. To address these challenges, ADNOC Group technology, led by our Non-Metallic Steering Committee and ADNOC Upstream, in partnership with several selected specialist product companies, is deploying a range of innovative solutions as pilot trials within a holistic R&D program - which is aiming to transform our production and processing facilities, with a close focus on integrity management - and specifically we are assessing the deployment of non-metallic pipelines, storage and process vessels as well as downhole tubing and casing. Focusing specifically on flowlines and pipelines - traditional steel pipes used in the oil patch are burdensome to store, transport and install, as well as susceptible to degradation, corrosion-driven wall loss in challenging operational environments, such as those found Onshore and Offshore Abu Dhabi. This vulnerability results in increased operating risks as facilities mature, adding cost and time for inspection, maintenance and eventually - replacements that will lead to production deferrals or interruptions. A range of non-metallic pipeline technologies are being assessed and piloted in this program, including stand-alone extruded polymeric pipe and liners, Reinforced Thermoplastic Pipe (RTP) used Onshore and Offshore, specialized non-metallic flexible pipelines for Offshore including Thermoplastic Composite Pipe (TCP) and downhole tubulars. The methodology involves placing segments of RTP into live pipeline systems for a finite duration of operation - usually one year - and then removing sections to assess any degradation in performance, or capability of the RTP during that time. These test results will be the subject of a further publication at the end of this trial period. In this paper, we will focus on RTP piloting Onshore an

关键词： Gas industry

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Waste Heat Recovery from a Drier Receiver of an A/C Unit Using Thermoelectric Generators

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Energy Engineering 2023年第8期120卷 1729-1746页

作者： Ali Jaber Abdulhamed Aws Al-Akam Ahmed A.Abduljabbar Mohammed H.Alkhafaji Energy Engineering Department Faculty of Engineering/AL-MussayibUniversity of BabylonHillaBabylonIraq Construction and Projects Department Al Iraqia UniversityBaghdadIraq Department of Electrical Engineering University of TechnologyBaghdadIraq

Thermoelectric generators(TEGs)are considered promising devices for waste heat recovery from various *** Seebeck effect can be utilized to generate power using the residual heat emitted by the filter dryer receiver(FDR)of an air conditioning(A/C)system,which would otherwise go to *** study aims to build a set of thermoelectric generators(TEG)to collect the waste heat of the FDR and generate low-power electricity.A novel electrical circuit with two transformers is designed and fabricated to produce a more stable voltage for operation and *** thermoelectric generator(TEGs)was installed on the FDR of the A/C *** test showed that climate conditions have a significant impact on the output power generated from the *** results showed that the peak voltage recorded in the current study is 5.2 V per day(wet,cold,and wind weather)with an output power of 0.2 *** values are acceptable for powering the load and charging a single battery with 3.5 V as the voltage increases battery 0.1 V/20 min charge.A case study of operating the emergency signs in a building was *** current heat recovery system is deemed to be easily installed and can be connected to a network of TEGs to produce more power.

关键词： Thermoelectric generator waste heat filter dryer receiver air conditioning heat recovery

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Reconstruction performance for image transmission through multimode fibers

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Optoelectronics Letters 2023年第4期19卷 235-241页

作者： HU Shicheng LIN Wei LIU Haifeng ZHU Yan YANG Ling JIN Song Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology Institute of Modern OpticsNankai UniversityTianjin 300350China Foreign Cooperation Projects Department PetroChina Dagang Oilfield CompanyTianjin 300280China

Due to the applications in the fields of optical communication,neuronal imaging,and medical endoscopic imaging,the study of multimode fiber(MMF)wavefront transmission is crucial for image reconstruction and wavefront generation in user *** of art studies in this area focus on high-quality image reconstruction and wavefront *** the way of imaging reconstruction,the performances of image reconstruction and wavefront shaping are also dependent on system and environment *** paper numerically analyzes the influence of key factors,such as the numerical aperture(NA)of the near-end objective lens of the MMF imaging system,the charge coupled device(CCD)noise of the acquired image,and the ambient temperature at close *** work would help to the optimization of the MMF-based imaging system and provide a theoretical basis for potential applications in optical communication systems,neuron imaging and endoscopic diagnosis.

关键词： multimode communication image

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A Flexible and Synthetic Transplant Kidney Exchange Problem (FASTKEP) Data Generator

A Flexible and Synthetic Transplant Kidney Exchange Problem ...

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IISE Annual Conference and Expo 2024

作者： Nau, Calvin Sankaran, Prashant McConky, Katie Sudit, Moises Khazaelpour, Payam Velasquez, Alvaro Rochester Institute of Technology RochesterNY United States University of Buffalo SUNY BuffaloNY United States Defense Advance Research Projects Agency ArlingtonVA United States

ISBN: (纸本)9781713877851

The Kidney Exchange Problem (KEP) optimizes a pool of incompatible patient-donor pairs and non-directed donors to determine the optimal cycles and chains of length-N that maximize transplants. A direct impact of KEP optimization is an improved quality of life for transplant recipients at a lower cost to the healthcare system (as opposed to dialysis treatments). To improve this process, synthetic data is commonly used to test and develop KEP algorithms. The canonical KEP data generation process is referred to as the Saidman Generator. The generator utilizes attributes of the donors and recipients that determine compatibility, such as blood type and protein compatibility, alongside known data distributions, including the percentage of different blood types comprising an exchange, to create datasets that aim to mirror the real world. Prior published Java implementations of this generator exist. However, in this work, an open-source data generation package implemented in Python is proposed for the KEP which mirrors the Saidman generator’s output. The proposed implementation is compared to a common Java implementation for scalability and efficiency. This generator allows for future extensions that integrate additional recipient and donor features that produce data better matching real-world exchanges. The result is an open-source Python implementation of a KEP data generator. The efficient creation of directed exchange datasets enables future work, including the use of the presented data generation process by ML/AI researchers in application to large-scale machine learning model training. © IISE Annual Conference and Expo *** rights reserved.

关键词： Java programming language

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Research of line-of-sight angle on aero-optic imaging deviation for vehicles flying at 40—60 km

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Optoelectronics Letters 2023年第4期19卷 242-247页

作者： XU Liang ZHAO Shiwei WANG Tao Tianjin Key Laboratory of Complex Control Theory and Application School of Electronic Engineering and AutomationTianjin University of TechnologyTianjin 300384China Foreign Cooperation Projects Department PetroChina Dagang Oilfield CompanyTianjin 300280China

Aero-optical imaging deviation is a kind of optical effect,aiming at a conical *** paper analyzes the influence of the aircraft on the imaging deviation with the change of altitude and line-of-sight *** this paper,the relationships between imaging deviation and altitude as well as line-of-sight angle are analyzed,and the coupling relationship between altitude and line-of-sight angle is *** give the imaging deviation results of 5°—75°line-of-sight *** analysis shows that when the line-of-sight angle is in the range of 5°—35°,the imaging deviation is more sensitive,while the line-of-sight angle is in the range of 35°—75°,the imaging deviation is relatively flat,and the imaging deviation does not gradually decrease with the increase of line-of-sight angle,but there is a turning point in the middle of 5°—75°.The imaging deviation decreases first and then increases,and the turning point of line-of-sight angle is closely related to height.

关键词： deviation angle turning

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