146 research outputs found
Reconfigurable Range-Doppler Processing and Interference Mitigation for FMCW Radars
No full textMicrowave Sensing, Signals & System
Agent-based Security and Efficiency Estimation in Airport Terminals
No full textWe investigate the use of an Agent-based framework to identify and quantify the relationship between security and efficiency within airport terminals. In this framework, we define a novel Security Risk Assessment methodology that explicitly models attacker and defender behavior in a security scenario. It produces a security risk vector, quantifying the risks to the airport terminal. Efficiency is calculated in the same model using so-called key efficiency indicators. By using this framework, we aim to find and quantify factors that influence both security and efficiency in airport terminals. These factors can then be used to enable informed multi-objective decision making by airport management.Air Transport & Operation
Capturing Agents in Security Models: Agent-based Security Risk Management using Causal Discovery
No full textAirports are important transportation hubs that reside in the heart of modern civilizations.They are of major economic and symbolic value for countries but are thereforealso attractive targets for adversaries. Over the years we have observed successful andunsuccessful terrorist attacks at airports, of which the recent Brussels Airport attack andIstanbul Atatürk Airport attack are two examples.A widely-used method to defend airports against these types of events is that of securityrisk management. Following this approach, security risks are quantified based onthreats, vulnerabilities, and consequences. These risks are then used as a basis to implementsecurity measures that can reduce the risks to acceptable levels. Several securityrisk management approaches were proposed before, such as attack trees and securitygames, but they struggle to include diverse human factors in their analysis. These factorsare inherently present in modern airports, as passengers, employees, and visitors areall humans. Furthermore, existing methods struggle to take other performance metrics,such as efficiency, into account.This thesis addresses these limitations by proposing a novel security risk managementapproach that relies on agent-based models and Monte Carlo simulations. Thisapproach builds on the existing security risk management framework but exploits theadvantages of the agent-based modelling paradigm. Agent-based models allow for theinclusion of rich cognitive, social and organizational models that enable the modellingof human behaviour. Furthermore, agent-based modelling is a suitable paradigm to estimatea variety of performance indicators, including airport efficiency.Two case studieswere performed to assess the performance of our agent-based securityrisk management approach. In these case studies we apply our approach to managesecurity risks at a regional airport, as well as an international airport.Air Transport & Operation
Bridging Boundaries: Making scale choices in multi-actor policy analysis on water management
No full textThis thesis synthesizes different perspectives on scale choices (spatial boundary setting, temporal boundary setting and the selection of the level of aggregation) in policy analysis. Scale choices influence the content of a study: the problems on the agenda, the options found and the impacts addressed. This also affects the process, because scale choices are not politically neutral: they may benefit or disadvantage certain actors by putting their urgent problems and/or preferred options on the agenda, and may hide or stress the positive or negative impacts of options. They may also influence the actors that are involved, the possibilities for consensus building and the political sensitivity of the study. It is important, therefore, to pay sufficient attention to scale choices in the design of policy analyses. Yet little is known about the specific effects of scale choices and how they are made in practice. In this research, the making of scale choices was studied using two empirical cases: the Long-Term Vision for the Scheldt Estuary and the Netherlands Water Shortage Study. Scale choices appear to be an important framing instrument that can be used by policy analysts. The tool presented in this thesis to make scale choices a subject of discussion can also serve as a means for the policy analyst to address other fundamental issues that are usually present below the surface but are hardly ever out in the open, such as differences in power, interests and hidden agendas. For more information: [email protected] analysisTechnology, Policy and Managemen
ManyTypes4Py: A benchmark python dataset for machine learning-based type inference
No full textIn this paper, we present ManyTypes4Py, a large Python dataset for machine learning (ML)-based type inference. The dataset contains a total of 5, 382 Python projects with more than 869K type annotations. Duplicate source code files were removed to eliminate the negative effect of the duplication bias. To facilitate training and evaluation of ML models, the dataset was split into training, validation and test sets by files. To extract type information from abstract syntax trees (ASTs), a light-weight static analyzer pipeline is developed and accompanied with the dataset. Using this pipeline, the collected Python projects were analyzed and the results of the AST analysis were stored in JSON-formatted files. The ManyTypes4Py dataset is shared on zenodo and its tools are publicly available on GitHub. Accepted author manuscriptSoftware Engineerin
An Interference Mitigation Technique for FMCW Radar Using Beat-Frequencies Interpolation in the STFT Domain
No full textA frequency-modulated continuous-wave (FMCW) radar interference mitigation technique using the interpolation of beat frequencies in the short-time Fourier transform (STFT) domain, phase matching, and reconfigurable linear prediction coefficients estimation for Coherent Processing Interval processing is proposed. The technique is noniterative and does not rely on algorithm convergence. It allows the usage of the fast Fourier transform (FFT) as the radar's beat-frequency estimation tool, for reasons such as real-time implementation, noise linearity after the FFT, and compatibility with legacy receiver architectures. Verification is done in range and in range-Doppler using radar experimental data in two ways: first by removing interferences from interference-contaminated data and second by using interference-free data as the reference data, and processing it--as if it had interferences--using the proposed technique, inverse cosine windowing and zeroing for comparison. We found that processing with the proposed technique closely matches the reference-data and outperforms the inverse cosine windowing and zeroing techniques in 2-D cross correlation, amplitude, and phase average errors and phase root-mean-square error. It is expected that the proposed technique will be operationally deployed on the TU Delft simultaneous-polarimetric PARSAX radar.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Microwave Sensing, Signals & System
Using Causal Discovery to Design Agent-based Models
No full textDesigning agent-based models is a difficult task. Some guidelines exist to aid modelers in designing their models, but they generally do not include specific details on how the behavior of agents can be defined. This paper therefore proposes the AbCDe methodology, which uses causal discovery algorithms to specify agent behavior. The methodology combines important expert insights with causal graphs generated by causal discovery algorithms based on real-world data. This causal graph represents the causal structure among agent-related variables, which is then translated to behavioral properties in the agent-based model. To demonstrate the AbCDe methodology, it is applied to a case study in the airport security domain. In this case study, we explore a new concept of operations, using a service lane, to improve the efficiency of the security checkpoint. Results show that the models generated with the AbCDe methodology have a closer resemblance with the validation data than a model defined by experts alone.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Air Transport & Operation
Reconfigurable Range-Doppler Processing and Range Resolution Improvement for FMCW Radar
No full textA reconfigurable range-Doppler processing method for FMCW radar is presented. By concatenating beat-frequency signals from more than one sweep, a continuous beat-frequency signal for the whole coherent processing interval (CPI) can be created. As a result, continuous targets' observation time is extended beyond that of a single chirp duration, leading to range resolution improvement. The created continuous beat-frequency signal can be split in the digital domain to any two-dimensional slow-time and fast-time matrices with the same number of elements as in the original signals, which offers a realization of a software-defined pulse/sweep repetition rate in range-Doppler processing. The signal concatenation is done in the short-time Fourier transform (STFT) domain, where the beat-frequency slices are extrapolated to compensate for the observation time lost in the transient region between sweeps, and then a phase correction is applied to each frequency-slice as appropriate, followed by an inverse STFT (ISTFT). The proposed technique is verified with simulation and experiments with an FMCW radar for stable and moving target scenarios. We found that the method allows for range resolution improvement without the transmission of additional bandwidth and also allows for the ability to observe different resolution granularities in parallel from one CPI. It additionally allows the decoupling of the transmitted PRF from the Doppler processing PRF, permitting the facility to observe different unambiguous Doppler velocity intervals from one CPI, without compromising on the total CPI processing gain.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Microwave Sensing, Signals & System
Rotterdam 2028 Olympic Stadium Fleet: A Life Cycle Approach To Sustainable Olympic Architecture
No full textThis project is a design for the 2028 Rotterdam Olympic Games. The research is focussed on the value of use during the Games as well as the post-Games value. The Rotterdam 2028 Olympic stadium fleet can be dismantled after the Games into a floating residential community in the Rotterdam Waalhaven. Other pieces of the stadium can be reused elsewhere as smaller stadiums and single floating housing blocks. The design gives a vision of how a future stadium could be designed with the afterlife already implemented during the design process of the stadium.Architectural EngineeringBuilding TechnologyArchitectur
Detection of Endemic Sri Lankan Birds Using AI-Based Software
No full textAbstract: Photographers frequently encounter a variety of issues when taking wildlife photographs. Many local and foreign wildlife photographers struggle with the lack of an efficient tool for detecting and discovering endemic Sri Lankan birds. A mobile application called "Ceylon Birds" was developed as a solution for these issues. It uses birds’ images, voices, and habitats to identify the birds. This mobile application will access the device’s camera, recorder, and Global Positioning System to accurately identify the bird, habitats and provide the bird’s details to the photographer. The concepts of Machine Learning, Natural Language Processing, and Neural Networks are used for this application. The information supplied by the Wildlife Officers, experts in this sector, was used to develop this application. The main goals of the suggested solution are to locate the regions where the majority of birds are present during a relevant time period and to clearly identify endemic birds by their physical characteristics and tones of voice. The trained Machine Learning models have achieved the accuracy of 92%, 90%, and 88% for the voice detection model, image identification model, and location clustering model respectively. After testing this “Ceylon Birds” mobile application among wildlife photographers, we have received positive feedback from them.
Keywords: image identification, voice detection, location clustering, machine learning.
Title: Detection of Endemic Sri Lankan Birds Using AI-Based Software
Author: K.A.S.H Kulathunga, S.A.M Piyabhashitha, S.A.D.H.A Jayatilake, Jeewaka Perera, Dhammika Silva
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 10-16
Research Publish Journals
Website: www.researchpublish.com
Published Date: 21-October-2022
DOI: https://doi.org/10.5281/zenodo.7234060
Paper Download Link (Source)
https://www.researchpublish.com/papers/detection-of-endemic-sri-lankan-birds-using-ai-based-softwareInternational Journal of Computer Science and Information Technology Research, ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals, Website: www.researchpublish.co
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