Relevant bibliographies by topics / Smart Captcha version 1

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smart Captcha version 1'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Smart Captcha version 1"

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Chand, P. Yaswanth. "DevHUB - A Centralized Resource Sharing Application for Developer & Designers." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 4697–701. https://doi.org/10.22214/ijraset.2025.69380.

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Abstract: In today’s rapidly evolving technological landscape, developers are key drivers of innovation. However, the increase in complexity of development environments and fragmentation of tools and resources often lack collaboration and productivity. To address these challenges, we process DevHUB, a smart, cloud -based platform designed to unify global developer community. So DevHUB will provides an all-in-one solution for the real time collaboration, project deployment, code sharing, backed with AI powered customization. As its core, DevHUBalso integrates the powerful features such as user profiling system, collaboration with other users, access too curated APIs, code compiler, built-in version control. It supports authenticated user onboarding through secure email verification, captcha validation and also password protection. Developers can join communities based on interests, contribute to open-source projects, and showcase their profiles or portfolios. The platform fosters learning by enabling experienced developers to guide beginners. To enhance the productivity, DevHUBalso includes automated deployment interfaces compatible with the Docker, Kubernetes, and serverless architectures. It also features secure, end-to-end encryption. By this, consolidating multiple workflows into one intelligent ecosystem, DevHUB eliminates the need to switch between tools like GitHub, Stack Overflow, and Slack, offering a seamless experience. Through a combination of real-time collaboration, community-driven learning, and also AI-enhanced customization service, DevHUB transforms the way developers connect, build, and grow. This platform promotes the professional networking and technical upskilling.And alsothisDevHUB envisions a future where developers across all experience levels can thrive in a shared digital workspace.
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Zhang, Zhe Jun, Yu Luo, and Du Yan. "Study of Smart Distribution Integration Evolution." Applied Mechanics and Materials 321-324 (June 2013): 2009–12. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2009.

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Nowadays, there are too much data residing in various automation islands independently installed in utilities in the past few years. So utilities are facing two problems: (1) how to integrate these islands and transform these data into meaningful information; (2) how to manage evolution of the integration. The entire integration cant be done in one implementation and hence the integration should have a long term evolution (LTE) plan. And now the industry consensus is that we have to use CIM to facilitate all these integrations. How to deal with this evolution is the most challenging issue. The utility should have plug-in monitoring, control, management and services of their new needs using smart grid standard s of IEC SG3. These standards include IEC 61970/61968 CIM and IEC 61850 which could ensure seamless information exchange. This means that legacy CIM version will be updated to a new version of this evolution, and the changes will be continuing within the integration evolutions. The approach is that we provide a LTE framework for the utility and use Common Source Modeling to customize their 61970/61968 CIM model in identified integration scope. A CIM version manager will deal with different CIM versions for information exchange under the latest CIM version. Some MDA (Model Driven Architecture) based tools will provide code generators to make this updating smoothly and automatically when utility business is changing with new or smart grids requirements.
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Lutsenko, Iryna. "FORMATION OF THE PURPOSE, GOALS, OBJECTIVES OF EDUCATIONAL ACTIVITIES OF PRESCHOOL EDUCATION INSTITUTION, ASSESSMENT OF THEIR QUALITY: MODIFICATION OF SMART CRITERIA." Educational Discourse: collection of scientific papers, no. 43(1-3) (2023): 73–84. http://dx.doi.org/10.33930/ed.2019.5007.43(1-3)-8.

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The statement of basic materials. The necessity of determining the purpose of educational activity of preschool education institution for the year is substantiated, a typical example of determining the tasks for the year by an educational institution is analyzed. The SMART criteria have been modified. The version of SMART criteria proposed by the author includes the following: relevance, measurability, coherence, environmental friendliness, hierarchy, specificity, realism, relevance, executive, and time.
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Rahayu, Yerni Retno, and Ary Sutrischastini. "FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA KARYAWAN PADA PT. SMART TALENTA MULTITAMA." Jurnal Riset Akuntansi dan Bisnis Indonesia 2, no. 1 (2022): 69–88. http://dx.doi.org/10.32477/jrabi.v2i1.424.

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This study aims to 1) analyze the effect of supervision on employee performance at PT. Smart Talent Multitama; 2) analyze the effect of motivation on employee performance at PT. Smart Talent Multitama; 3) analyze the influence of supervision and motivation on employee performance at PT. Smart Talent Multitama. This research method uses a quantitative approach, with data collection techniques in the form of a questionnaire. The population is all employees of PT. Smart Talenta Multitama totaling 45 employees and all of these employees were used as respondents. Technical analysis of data using multiple linear regression processed with SPSS version 20. The results obtained are 1) Supervision has a positive and significant effect on employee performance when viewed from a significant less than 0.05; 2) Motivation has a positive and significant effect on employee performance when viewed from a significant less than 0.05 and 3) Taken together, supervision and motivation have a positive and significant effect on the performance of PT. Smart Talent Multitama.
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Sadowski, Jathan, and Roy Bendor. "Selling Smartness: Corporate Narratives and the Smart City as a Sociotechnical Imaginary." Science, Technology, & Human Values 44, no. 3 (2018): 540–63. http://dx.doi.org/10.1177/0162243918806061.

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This article argues for engaging with the smart city as a sociotechnical imaginary. By conducting a close reading of primary source material produced by the companies IBM and Cisco over a decade of work on smart urbanism, we argue that the smart city imaginary is premised in a particular narrative about urban crises and technological salvation. This narrative serves three main purposes: (1) it fits different ideas and initiatives into a coherent view of smart urbanism, (2) it sells and disseminates this version of smartness, and (3) it crowds out alternative visions and corresponding arrangements of smart urbanism. Furthermore, we argue that IBM and Cisco construct smart urbanism as both a reactionary and visionary force, plotting a model of the near future, but one that largely reflects and reinforces existing sociopolitical systems. We conclude by suggesting that breaking IBM’s and Cisco’s discursive dominance over the smart city imaginary requires us to reimagine what smart urbanism means and create counter-narratives that open up space for alternative values, designs, and models.
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Wibowo, J. W., A. Munandar, O. Mahendra, J. V. Josary, D. I. S. Ningrum, and B. Sejati. "A review of a smart coffee roaster: electronics, design, and artificial intelligence." IOP Conference Series: Earth and Environmental Science 1116, no. 1 (2022): 012011. http://dx.doi.org/10.1088/1755-1315/1116/1/012011.

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Abstract Coffee is one of the most common and favorite beverages that many people have been consuming around the world. A smart coffee roaster uses a smart sensor and controller to operate the roaster and to get the best consistency and also accuracy of the resulting roasted coffee. The current paper discusses the electricity, design, and Artificial Intelligence (AI) needed to make the best version of a smart coffee roaster. The electronic system consists of a sensor, controller, and actuator. Sound and temperature sensors are the ones that are used within the device; meanwhile, the most commonly used controller is a microcontroller. Actuators are the driving motors of the roaster drum. Ergonomic, aesthetic, and user comfort are the primary keys needed to make a good design. The AI application detects the ripeness of the coffee seeds and the “crack” sound detection. Based on the comparison of previous studies that have been done before, readers are expected to identify the required needs of specifications within a smart coffee roaster.
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Mishra, Sthitprajna, Bibhu Prasad Ganthia, Abel Sridharan, P. Rajakumar, D. Padmapriya, and S. Kaliappan. "Optimization of Load Forecasting in Smartgrid using Artificial Neural Network based NFTOOL and NNTOOL." Journal of Physics: Conference Series 2161, no. 1 (2022): 012068. http://dx.doi.org/10.1088/1742-6596/2161/1/012068.

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Abstract The motivation behind the research is the requirement of error-free load prediction for the power industries in India to assist the planners for making important decisions on unit commitments, energy trading, system security & reliability and optimal reserve capacity. The objective is to produce a desktop version of personal computer based complete expert system which can be used to forecast the future load of a smart grid. Using MATLAB, we can provide adequate user interfaces in graphical user interfaces. This paper devotes study of load forecasting in smart grid, detailed study of architecture and configuration of Artificial Neural Network(ANN), Mathematical modeling and implementation of ANN using MATLAB and Detailed study of load forecasting using back propagation algorithm.
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SCHMIDT, TH, U. GROH, R. FINK, et al. "XPEEM WITH ENERGY-FILTERING: ADVANTAGES AND FIRST RESULTS FROM THE SMART PROJECT." Surface Review and Letters 09, no. 01 (2002): 223–32. http://dx.doi.org/10.1142/s0218625x02001811.

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The second development step of the SMART project, i.e. an energy-filtered but not yet corrected photoelectron emission microscope, operates at the undulator U49/1-PGM beamline at BESSY II. It already demonstrates the variety of methods of the final version: microscopy, spectroscopy and electron diffraction. Some recent experimental results are reported for these three operation modes. In addition, the theoretical improvement of lateral resolution and transmission of PEEMs in general by using an energy filter is discussed for systems without and with aberration correction.
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Willie-Tyndale, Douladel. "PILOTING THE MONEY SMART FINANCIAL LITERACY PROGRAM IN JAMAICA." Innovation in Aging 3, Supplement_1 (2019): S581. http://dx.doi.org/10.1093/geroni/igz038.2153.

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Abstract This paper describes the piloting of a culturally modified version of the FDIC Money Smart Peer-to-Peer Program. The pilot study examined the use of Mentorship Teams comprised of two persons one (60 years and over) and another (30 - 59 years) who collectively provided mentorship and financial education to four working-age adults. The pilot was designed with four (4) phases: Phase 1 included recruitment and training of Mentors, Phase 2 the assignment of Mentors and Mentees, Phase 3 application of the intervention, and Phase 4 the evaluation of outcomes. This paper will review the design and recruitment processes, modifications made to the existing Money Smart Peer-to-Peer Program for cultural sensitivity and financial system factors, implementation challenges (including barriers and facilitators) and lessons derived from initiation and program implementation.
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Linder, Lucy, Frédéric Montet, Jean Hennebert, and Jean-Philippe Bacher. "Big Building Data 2.0 - a Big Data Platform for Smart Buildings." Journal of Physics: Conference Series 2042, no. 1 (2021): 012016. http://dx.doi.org/10.1088/1742-6596/2042/1/012016.

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Abstract The modern built environment is now connected. Multiple software and protocols are used in buildings of many kinds, thus creating a fascinating and heterogeneous environment. Within this context, applied research can be complicated and would benefit from a single data location across projects and users. The first version of BBData tried to solve this problem, BBData v2.0 is an update with a better-defined scope and a new codebase. The solution has been open sourced and simplified with a full software rewrite. Its components are now state-of-the-art and proven to be stable in industrial settings. The achieved performances have been thoroughly tested. Together with its new architecture, BBData v2.0 now accommodates the needs of modern experiments; efficient for simple proof of concepts while keeping the possibility to scale up to city-level projects. This flexibility makes BBData a good candidate for research while being able to scale in production settings.
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Dissertations / Theses on the topic "Smart Captcha version 1"

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Amoah, Raphael. "Formal security analysis of the DNP3-Secure Authentication Protocol." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/93798/1/Raphael_Amoah_Thesis.pdf.

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This thesis evaluates the security of Supervisory Control and Data Acquisition (SCADA) systems, which are one of the key foundations of many critical infrastructures. Specifically, it examines one of the standardised SCADA protocols called the Distributed Network Protocol Version 3, which attempts to provide a security mechanism to ensure that messages transmitted between devices, are adequately secured from rogue applications. To achieve this, the thesis applies formal methods from theoretical computer science to formally analyse the correctness of the protocol.
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Book chapters on the topic "Smart Captcha version 1"

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Nawito, Moustafa. "ASIC Version 1." In CMOS Readout Chips for Implantable Multimodal Smart Biosensors. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20347-4_3.

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Odongtoo, Godfrey, Denis Ssebuggwawo, and Peter Okidi Lating. "Water Resource Management Frameworks in Water-Related Adaptation to Climate Change." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_24-1.

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AbstractThis chapter addresses the use of partial least squares–structural equation modeling (PLS-SEM) to determine the requirements for an effective development of water resource management frameworks. The authors developed a quantitative approach using Smart-PLS version 3 to reveal the views of different experts based on their experiences in water-related adaptation to climate change in the Lake Victoria Basin (LVB) in Uganda. A sample size of 152 was computed from a population size of 245 across the districts of Buikwe, Jinja, Mukono, Kampala, and Wakiso. The chapter aimed to determine the relationship among the availability of legal, regulatory, and administrative frameworks, public water investment, price and demand management, information requirements, coordination structures, and analytical frameworks and how they influence the development of water resource management frameworks. The findings revealed that the availability of legal, regulatory, and administrative frameworks, public water investment, price and demand management, information requirements, and coordination structures had significant and positive effects on the development of water resource management frameworks. Public water investment had the highest path coefficient (β = 0.387 and p = 0.000), thus indicating that it has the greatest influence on the development of water resource management frameworks. The R2 value of the model was 0.714, which means that the five exogenous latent constructs collectively explained 71.4% of the variance in the development. The chapter suggests putting special emphasis on public water investment to achieve an effective development of water resource management frameworks. These findings can support the practitioners and decision makers engaged in water-related adaptation to climate change within the LVB and beyond.
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Farid Ghassem Nia Hossein. "A Survey in Consciousness in Robots and Future of Reception Robots." In Ambient Intelligence and Smart Environments. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-639-3-281.

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This paper presents a story about consciousness and future of reception robots. A prototype version of reception robot is developed at university of Essex for university open days and Features that are mentioned in this paper are mostly based on it. Another part of story is a discussion about consciousness in robots. In this part, it is aimed to provide a picture of consciousness and answer some questions about ethical problems that may occur in future in facing robots that look like human.
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Zablotskiy Sergey, Müller Thomas, and Minker Wolfgang. "Perceptual Evaluation of Radio Signal Quality Degradation." In Ambient Intelligence and Smart Environments. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-034-6-460.

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In this paper we present an approach, which avoids expansive and time consuming subjective assessment of audio quality degradation, caused by different nature disturbances during the transmitting and receiving of stereo audio signal through the radio channel. This approach is based on the basic version of PEAQ (Perceptual Evaluation of Audio Quality) method, optimized generally for audio codec testing. The MOV (Model Output Variables) vector of the PEAQ method is transformed to the transmitted audio quality degradation scale, using the combination of neural networks and genetic algorithms.
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Ábalos Nieves, Espejo Gonzalo, Podrekar Gregor, and López-Cózar Ramón. "User-Adaptive Multimodal Dialogue System for House Control: Recognizing Who and Where." In Ambient Intelligence and Smart Environments. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-639-3-71.

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This paper discusses our plans to improve an already implemented multimodal dialogue system for control of house appliances, called Mayordomo. We think that by means of the planned improvements, the dialogue system will become more user-adaptive and thus the interaction will be more user-friendly. The adaptation will be implemented considering information not taken into account in the initial version of the system, namely user localization and identification. The paper discusses our current study on methods to achieve this kind of information, as well as our plans to employ user profiles.
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Padierna Luis C., González Martha B., and Romero Leoncio A. "PAC-Means: clustering algorithm based on c-Means technique and associative memories." In Ambient Intelligence and Smart Environments. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-080-2-37.

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In this study a partitional clustering technique is proposed. Our proposal is a variant of the c-Means algorithm that replaces its traditional minimum-distance classifier by a classifier based on associative memories. The variant was compared against the original version by applying both techniques to three datasets belonging to the UCI Machine Learning Repository: Iris, Wine and Pima Indian Diabetes. As a comparison criterion, an intracluster-spread index was used. Results obtained in experimental tests show that, when applied to certain databases, the PAC-Means technique overcomes to the c-Means algorithm.
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Wu Hsuan-Yi and Callaghan Vic. "From Imagination to Innovation: A Creative Development Process." In Ambient Intelligence and Smart Environments. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-690-3-514.

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This paper is concerned with models of the innovation process. It takes the perspective that innovation is a non-linear process where development paths emerge from the process of ‘imagining’ and ‘doing’, iterating around in evolutionary cycles until a satisfactory innovation emerges. To support this we have developed a model of the innovation process called Creative Innovation Development (CID), which integrates an evolutionary ideation process (an augmented version of science fiction prototyping) with agile development. The paper describes the working of the model and its components. We illustrate the operation of CID by describing how it is being utilised by a start-up company, LivingPattern Technology Inc. Finally, the paper concludes by presenting future directions for our work.
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Bala Iro and Moschouti Eirini. "Spatiality of Athens' digital footprint: Limitations and opportunities for “intelligent” urban planning." In Ambient Intelligence and Smart Environments. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-286-8-752.

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The existence of a new digital layer added to urban reality is a common place for various approaches which discuss the evolution of the “digital city” concept, as well as the emersion of intelligent environments. Considering that every city embeds new technologies with a unique – either strictly constructed or even unplanned – manner, one could actually presume that the penetration of ICT reveals multileveled opportunities as well as limitations for urban planning in each case. Focusing on the city of Athens as a case study of an unplanned version of a digital city, we examine its spatiality through its digital footprint and discuss the potential of new planning practices driven by the availability of urban data.
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Albalate Amparo, Suchindranath Aparna, and Minker Wolfgang. "A Semi-supervised Cluster-and-label Algorithm for Utterance Classification." In Ambient Intelligence and Smart Environments. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-639-3-61.

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In this paper we propose a novel cluster-and-label semi-supervised algorithm for utterance classification algorithm. The approach assumes that the underlying class distribution is roughly captured through -fully unsupervised- clustering. Then, a minimum amount of labeled examples are used to automatically label the extracted clusters, so that the initial label set is “augmented” to the whole clustered data. The optimum cluster labeling is achieved by means of the Hungarian algorithm, traditionally used to solve any optimization assignment problem. Finally, the augmented labeled set is applied to train a Naïve Bayes classifier. This semi-supervised approach has been compared to a fully supervised version, in which the initial labeled sets are directly used to train the classifier.
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Freitas Carlos Filipe, Meireles António, Figueiredo Lino, and Ramos Carlos. "IGAMSAI – Idea Generation with Autonomous multimedia gathering for Meetings Summaries in AmI." In Ambient Intelligence and Smart Environments. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-056-8-289.

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In this paper we present IGAMSAI, an idea generation system for Ambient Intelligence in the context of work, which was developed in GECAD research center, with two layers, an operational layer systems and an intelligent layer following an architecture previously proposed [3][2]. The operational layer is composed by an audio and video system and an audio to text converter built in the top of a pervasive component. The intelligent layer is an improved version of IGTAI [6]. Both layers are independent. With their integration it is possible to improve users' experience in Smart Meeting Rooms or even in distributed meetings, in time and space. Another feature is the ability to present the users with meetings reviews focused on the meeting key points and also the complete meeting.
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Conference papers on the topic "Smart Captcha version 1"

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Chen, Jason, Eunkyu Kim, Calder Leppitsch, et al. "Part 1: Gyroscopic Control of Robotic Smart Vehicles Using SO(3)." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-113518.

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Abstract In response to challenges faced in engineering education, this paper presents the Moving Frame Method (MFM) as an alternative to the existing pedagogies. This paper, and a companion paper, present the MFM for the analysis of rigid single-bodies, in the context of an international collaborative senior design project between two engineering schools: The Cooper Union in New York, NY and The Western Norway University of Applied Sciences in Bergen, Norway. Students at Cooper Union analyzed the smart vehicle as a single-body problem; a second team in Norway used the same method to model the problem as a multi-body. Both teams modeled the gyroscopic lift effect using the foundational theory of the MFM. This first paper presents the underlying theory of how the MFM uses the Special Orthogonal Group, SO(3), to model the problem of gyroscopic lift of a smart vehicle. It presents the underlying theory: motion of a reference frame in terms of the reference frame; and the various properties of SO(3) and its associated algebra as applied to a new, undergraduate approach to dynamics. The paper presents two design alternatives to lift a vehicle, the first one uses two gyroscopes and the second a single reaction wheel. The modeling and analysis process led to the design that employs a single reaction wheel. Next, it examines the model-generated estimates for torque generated and subsequent motion of the car. After analysis using the initial model, the Cooper Union Team pivoted a design approach before entering the rapid prototyping phase of the project. Then, it discusses the manufacturing process for the final version of the car and the construction of a test enclosure for ensuring safety by containing the heavy reaction wheel spinning at high speeds. Finally, it describes the testing of the car, which involves measurement of angular impulse due to a braking event. The results from initial experiments on the prototype validate the model and confirm that the car can lift itself using the selected method.
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Stanton, Samuel C., Alper Erturk, Brian P. Mann, and Daniel J. Inman. "On the Manifestation and Influence of Material Nonlinearity in Electroelastic Power Generators." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3790.

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We investigate and model observed nonlinear piezoelectric response of an electroelastic energy harvester. The model employed is a simplified version of the fully nonlinear model proposed by Stanton and Mann [1] since the mechanical oscillations of the experimental device remain in the geometrically linear regime. However, we include quadratic damping due to the appearance of even superharmonics in experimental data as well as suppressed frequency response. Nonlinear coefficients are identified via a nonlinear least squares optimization algorithm that utilizes an approximate analytic solution obtained by the method of harmonic balance. For PZT-5H, we obtained a fourth order elastic tensor component of cp1111 = −8.2515 × 1015 N/m2 and a fourth order electroelastic tensor value of e3111 = 9.6816 × 107 m/V.
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Dominik, Ireneusz. "Interval Type-2 Fuzzy Logic Control of NM70 Shape Memory Actuator." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7606.

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The main aim of this article is to present the usage of type-2 fuzzy logic controller to control a shape memory actuator. To enhance real-time performance simplified interval fuzzy sets were used. The algorithm was implemented in the ATmega32 microcontroller. The dedicated PC application was also built. The fuzzy logic controller type-2 was tested experimentally by controlling position of the shape memory alloy actuator NM70 which despite its small size distinguishes itself by its strength. The obtained results confirmed that type-2 fuzzy controller performed efficiently with a difficult to control nonlinear plant. The research also proved that interval type-2 controllers, which are a simplified version of the general type-2 controllers, are very efficient. They can handle uncertainties without increasing drastically the computational complexity. Experimental data comparison of the fuzzy logic controller type-2 with type-1 clearly indicates the superiority of the former, especially in reducing overshooting.
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Sotoudeh, Zahra. "Energy Harvesting From Aeroelastic Instabilities for Highly Flexible Aircraft." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36967.

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Aeroelastic instabilities such as flutter, limit cycle oscillation (LCO), and divergence are traditionally considered undesirable. Designers try to avoid these instabilities by adding enough stiffness or damping to structures. A new approach to suppressing these instabilities is to use smart material to harvest energy from airflow. In this way not only are the aeroelastic instabilities avoided, but also some energy will be harvested. The harvested energy can be used for powering sensors, morphing parts of the structure, and ultimately increasing the performance of the aircraft. Energy harvesting from aeroelastic phenomena can also be used in designing small wind energy harvesters for home use. In this paper we will explore both capabilities. Piezoelectric materials are among the attractive smart materials for energy harvesting. Piezoelectric materials generate electric potential as they deform. We will explore the use of these materials in aeroelastic harvesting. Ref. 1 has a general overview of different forms of vibrational energy harvesting, including the use of piezoelectric materials. Harvesting energy from aeroelastic instabilities is a relatively new area; therefore, the body of literature on this subject is relatively young. Most of the analysis is limited to a 2-D cross-sectional analysis with steady or quasi-steady flow. We will use a 2-D model with an unsteady aerodynamic model as the preliminary result. More realistic cases with a beam model will be added to the final version of the paper. For the beam model, we will use fully intrinsic equations.
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Pavlou, Pavlos, Stelios G. Vrachimis, Demetrios G. Eliades, and Marios M. Polycarpou. "Non-intrusive water usage classification considering limited training data." In 2nd WDSA/CCWI Joint Conference. Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/wdsa-ccwi2022.2022.14829.

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Smart metering of domestic water consumption to continuously monitor the usage of different appliances has been shown to have an impact on people’s behavior towards water conservation. However, the installation of multiple sensors to monitor each appliance currently has a high initial cost and as a result, monitoring consumption from different appliances using sensors is not cost-effective. To address this challenge, studies have focused on analyzing measurements of the total domestic consumption using Machine Learning (ML) methods, to disaggregate water usage into each appliance. Identifying which appliances are in use through ML is challenging since their operation may be overlapping, while specific appliances may operate with intermittent flow, making individual consumption events hard to distinguish. Moreover, ML approaches require large amounts of labeled input data to train their models, which are typically not available for a single household, while usage characteristics may vary in different regions. In this work, we initially propose a data model that generates synthetic time series based on regional water usage characteristics and resolution to overcome the need for a large training dataset with real labeled data. The method requires a small number of real labeled data from the studied region. Following this, we propose a new algorithm for classifying single and overlapping household water usage events, using the total domestic consumption measurements. The classification procedure is described below: 1) During the offline feature learning stage, a dataset of labeled data corresponding to water-use profile signals is analyzed to some predefined features, such as event volume, event duration, event flow peak, and event signature, to extract its statistical properties, 2) The event classification stage monitors the provided measurement time-series for events between zero-flow intervals. The identified events are then classified using Dynamic Time Wrapping and an optimization procedure that finds the best label for the observed event based on the features learned in the first stage and similarity indices. Non-classified events are processed using a variation vector technique to identify the combined events which are then split into sub-single events and classified.Extended version of this article is selected for possible publication in a Special Issue in the Journal of Hydroinformatics.
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