71 research outputs found

    Encoder-Attention-Based Automatic Term Recognition (EA-ATR)

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    Automated Term Recognition (ATR) is the task of finding terminology from raw text. It involves designing and developing techniques for the mining of possible terms from the text and filtering these identified terms based on their scores calculated using scoring methodologies like frequency of occurrence and then ranking the terms. Current approaches often rely on statistics and regular expressions over part-of-speech tags to identify terms, but this is error-prone. We propose a deep learning technique to improve the process of identifying a possible sequence of terms. We improve the term recognition by using Bidirectional Encoder Representations from Transformers (BERT) based embeddings to identify which sequence of words is a term. This model is trained on Wikipedia titles. We assume all Wikipedia titles to be the positive set, and random n-grams generated from the raw text as a weak negative set. The positive and negative set will be trained using the Embed, Encode, Attend and Predict (EEAP) formulation using BERT as embeddings. The model will then be evaluated against different domain-specific corpora like GENIA - annotated biological terms and Krapivin - scientific papers from the computer science domain

    A conceptual framework for the assessment of integrated energy storage resources

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    Concerns regarding climate change impacts, energy security and sustainability are key drivers of the growing deployment of renewable energy resources. The variability, uncertainty and intermittency associated with the integration of these resources make the operation of the conventional power grid particularly challenging. Energy storage resources (ESRs) are one of the most promising solutions to address these challenges. The unique and versatile nature of storage finds its use in applications over a broad time spectrum. Furthermore, fast acting storage helps smoothen out the variable renewable output, minimize spillage of clean energy and manage the steep ramps associated with renewable energy integration. Storage also finds its use across all three domains of the electrical network, i.e., generation, transmission and distribution. Cost reductions, technological innovations and regulatory initiatives have invigorated the interest in storage. However, the rapid growth of the storage sector is met by daunting challenges to the implementation of storage in the grid, especially since storage is very different from the conventional grid assets. The nature of storage is unique and its implementation has to be treated as such to fully harness the value it brings to the system it is integrated into. To this end, we outline a framework in this thesis for the integration of energy storage resources into the grid. The framework provides a systematic construct to study the various aspects of ESR integration in a system. The framework is comprehensive as it reflects the physical, information, environmental and financial aspects of storage operations. The thrust of the framework is its flexibility to accommodate the wide range of applications that storage provides on different time-scales. Furthermore, the framework explicitly captures the nature of deployment of storage for a particular application and shows the necessary interactions between ESR and the various players that interact with the ESR. Case studies to illustrate the implementation of the information, environmental and financial layers of the framework are also presented in the thesis. The studies and their results establish that the framework is an extremely useful construct for the development of tools and models to aid in planning and operational studies and the formulation of policy and incentives and as such, is helpful in bringing the vision of energy storage closer to reality.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01The student, Archana Manjunath, accepted the attached license on 2016-04-09 at 13:31.The student, Archana Manjunath, submitted this Thesis for approval on 2016-04-09 at 13:43.This Thesis was approved for publication on 2016-04-13 at 11:07.DSpace SAF Submission Ingestion Package generated from Vireo submission #9172 on 2016-07-07 at 13:49:01Made available in DSpace on 2016-07-07T20:27:12Z (GMT). No. of bitstreams: 2 MANJUNATH-THESIS-2016.pdf: 1996883 bytes, checksum: bb5c74cdd6bcaba1852a0a334289e2d5 (MD5) LICENSE.txt: 4214 bytes, checksum: c279692b236145039dfb78cf2ec85e93 (MD5) Previous issue date: 2016-04-13Embargo set by: Seth Robbins for item 93095 Lift date: 2018-07-07T20:28:14Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 93095 Lift date: 2018-07-07T20:35:34Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 93095 on 2018-07-08T09:15:20Z

    Strategy and Steps for Analytical Method Validation

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    Survey of levels of common toxic metals and pesticides residues in some selected organically grown foods of Indian origin

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    Determination of arsenic and fluoride in borewell water samples collected from in and around Mysore City

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    Insertion and deletion tolerance of point processes

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    We develop a theory of insertion and deletion tolerance for point processes. A process is insertion-tolerant if adding a suitably chosen random point results in a point process that is absolutely continuous in law with respect to the original process. This condition and the related notion of deletion-tolerance are extensions of the so-called finite energy condition for discrete random processes. We prove several equivalent formulations of each condition, including versions involving Palm processes. Certain other seemingly natural variants of the conditions turn out not to be equivalent. We illustrate the concepts in the context of a number of examples, including Gaussian zero processes and randomly perturbed lattices, and we provide applications to continuum percolation and stable matching

    LUCE: a dynamic framework and interactive dashboard for opinionated text analysis

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    We introduce LUCE, an advanced dynamic framework with an interactive dashboard for analysing opinionated text aiming to understand people-centred communication. The framework features computational modules of text classification and extraction explicitly designed for analysing different elements of opinions, e.g., sentiment/emotion, suggestion, figurative language, hate/toxic speech, and topics. We designed the framework using a modular architecture, allowing scalability and extensibility with the aim of supporting other NLP tasks in subsequent versions. LUCE comprises trained models, python-based APIs, and a user-friendly dashboard, ensuring an intuitive user experience. LUCE has been validated in a relevant environment, and its capabilities and performance have been demonstrated through initial prototypes and pilot studies.This publication has emanated from research con ducted with the financial support of Taighde Éire ann – Research Ireland for the Postdoctoral Fel lowship award GOIPD/2023/1556 (Glór). This work has also received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 883285 (PANDEM-2). Additionally, this work has been partially funded by the Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2 (Insight_2).peer-reviewe

    Computational Study of the Dynamics of the Flow-Field Induced by Vortex Generators

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    Vortex Generators (VGs) are one of the most commonly used passive flow control devices. Recent studies have shown that it is beneficial to use sub-boundary layer vortex generators (SBVGs). The height of these generators varies between 10% - 50% of the boundary layer thickness. However, the reduced height causes the induced vortices to be substantially weaker. Therefore, using SBVG is beneficial only when the regions of flow separation are well defined. To better understand and comprehensively predict the effectiveness of these devices for flow control over a range of operating conditions, two different SBVG profile: rectangular vortex generators (RVGs) and triangular vortex generators (TVGs) are analysed when subjected to a laminar boundary layer. The topics of interest are instantaneous flow, mean flow, far-field acoustic properties and influence of the angle of attack on the VG vane. The results emphasise the unsteady nature of the induced vortices for both the VG profiles. For RVGs, mean flow visualisation indicates the presence of local re-circulation zones in between the vanes with an increase in angle of attack. Additionally, secondary vortices are noted for both the VGs. These secondary vortices significantly influence the properties of the primary vortices thereby, suggesting that, effectively managing the secondary vortices using suitable design changes to VG profile could be one of the possible ways to accomplish better flow control.Aerospace Engineerin

    Temporal Synchronization of Sensors

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    Advanced automotive vehicles are based on the real-time fusion of an increasing number of automotive sensors. For precise fusion of different sensors, measurements need to be synchronized both temporally and spatially. This thesis aims to design a hardware temporal synchronization block as part of the PRISTINE systolic array accelerator project for multi-sensor data fusion. In this process, we study and address several temporal sensor synchronization issues that are characteristic of the considered system as well as any other typical sensor fusion system. First and foremost, we handle the problem of estimating the actual time of sensor measurement by exploring well-known filtering techniques such as Kalman, mean and median filters. A suitable filter is selected for implementation based on the statistical characteristics of the observed sensor cycle times, the complexity of the filters and the quality of obtained estimates. Next, we address the issue of reconstructing incoming sensor data streams according to the estimated sensor measurement times while maintaining minimal latency and synchronization error by employing an adaptive stream buffering technique utilized in distributed multimedia systems. An analysis of the effects of the stream synchronization algorithm's parameters on buffering latency and synchronization error was presented. Finally, the above synchronization solution was efficiently implemented on hardware by making certain modifications and design decisions to the algorithm. A method to evaluate the whole temporal synchronization process is proposed and the obtained results on real sensor data are presented.PRYSTINEElectrical Engineering | Circuits and System

    Implementation of product sharing and search system on mobile platform (Part-II)

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    Online sites which leverage on user participation and community have grown over the years. These sites focus on identifying something that people find interesting and they create a platform that helps connect these people together and build a community. These websites have corresponding mobile applications which also have a similar interface, resulting in a cohesive user experience for the user. In addition, they integrate seamlessly with social media to ensure content can shared via social media just as easily. However, there is no effective and visually appealing platform that helps users share products with each other and help connect people with interesting deals. The objective of this project is to implement a web application that serves as a platform for users to share and sell products to their peers and friends. This web application will cohesively be able to build an online community of sellers and buyers as well as integrate social media and location based services. This web application is named Deals Interest. The author will work concurrently with another FYP teammate who will develop the mobile application for the site. In this report, the author outlines some of the background research done with respect to this project. The author then documents the various stages of the software development lifecycle, from the requirements analysis, design and development stages all the way to the testing stage and deployment stage. Finally, the author concludes the report with a summary of the work done and outline future recommendations for the project.Bachelor of Engineering (Computer Science
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