Relevant bibliographies by topics / Automatically aligned

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Academic literature on the topic 'Automatically aligned'

Author: Grafiati
Published: 4 June 2025
Last updated: 6 July 2025

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Journal articles on the topic "Automatically aligned"

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Rosolen, Grahame C. "Automatically aligned electron beam lithography on the nanometre scale." Applied Surface Science 144-145 (April 1999): 467–71. http://dx.doi.org/10.1016/s0169-4332(98)00841-1.

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Anees, Abu Sneineh, and A. Salah Wael. "Design and implementation of an automatically aligned solar tracking system." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 4 (2019): 2055–64. https://doi.org/10.11591/ijpeds.v10.i4.pp2055-2064.

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This paper presents the design and implementation of a closed-loop solar tracker system. The demand for clean energy sources has increased along with the rising demand for electrical energy and the increasing amount of environment pollution triggered by fuel consumption. Among these sources, solar energy is considered the most feasible given its wide availability and easy operation in different environments. The main purpose of this study is to maximize the generated photovoltaic power and reduce CO2 emissions by designing an efficient and low-cost solar tracking system. An aligned closedloop solar tracker is designed and constructed to achieve the best accuracy. The proposed system shows more freedom in its movement to overcome the problems associated with the tilt of the frame-holder. A PIC microcontroller based on the Flowcode programming language is used, the position feedback is detected by using a photo-sensor, and the H-Bridge driver is used to control two DC motors. According to the experimental results, the proposed system shows significant improvements in efficiency compared with stationary solar tracking systems.
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Abu Sneineh, Anees, and Wael A. Salah. "Design and implementation of an automatically aligned solar tracking system." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 4 (2019): 2055. http://dx.doi.org/10.11591/ijpeds.v10.i4.pp2055-2064.

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This paper presents the design and implementation of a closed-loop solar tracker system. The demand for clean energy sources has increased along with the rising demand for electrical energy and the increasing amount of environment pollution triggered by fuel consumption. Among these sources, solar energy is considered the most feasible given its wide availability and easy operation in different environments. The main purpose of this study is to maximize the generated photovoltaic power and reduce CO<sub>2</sub> emissions by designing an efficient and low-cost solar tracking system. An aligned closed-loop solar tracker is designed and constructed to achieve the best accuracy. The proposed system shows more freedom in its movement to overcome the problems associated with the tilt of the frame-holder. A PIC microcontroller based on the Flowcode programming language is used, the position feedback is detected by using a photo-sensor, and the H-Bridge driver is used to control two DC motors. According to the experimental results, the proposed system shows significant improvements in efficiency compared with stationary solar tracking systems.
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Makinen, Erno, and Roope Raisamo. "Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces." IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 3 (2008): 541–47. http://dx.doi.org/10.1109/tpami.2007.70800.

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Yoon, Won-Jin, Kyung Min Lee, Dean R. Evans, Michael E. McConney, Dae-Yoon Kim, and Kwang-Un Jeong. "Giant surfactants for the construction of automatic liquid crystal alignment layers." Journal of Materials Chemistry C 7, no. 28 (2019): 8500–8514. http://dx.doi.org/10.1039/c9tc00422j.

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Nageler, Marcel, Shibam Ghosh, Marlene Jüttler, and Maria Eichlseder. "AutoDiVer: Automatically Verifying Differential Characteristics and Learning Key Conditions." IACR Transactions on Symmetric Cryptology 2025, no. 1 (2025): 471–514. https://doi.org/10.46586/tosc.v2025.i1.471-514.

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Differential cryptanalysis is one of the main methods of cryptanalysis and has been applied to a wide range of ciphers. While it is very successful, it also relies on certain assumptions that do not necessarily hold in practice. One of these is the hypothesis of stochastic equivalence, which states that the probability of a differential characteristic behaves similarly for all keys. Several works have demonstrated examples where this hypothesis is violated, impacting the attack complexity and sometimes even invalidating the investigated prior attacks. Nevertheless, the hypothesis is still typically taken for granted. In this work, we propose AutoDiVer, an automatic tool that allows to thoroughly verify differential characteristics. First, the tool supports calculating the expected probability of differential characteristics while considering the key schedule of the cipher. Second, the tool supports estimating the size of the space of keys for which the characteristic permits valid pairs, and deducing conditions for these keys. AutoDiVer implements a custom SAT modeling approach and takes advantage of a combination of features of advanced SAT solvers, including approximate model counting and clause learning. To show applicability to many different kinds of block ciphers like strongly aligned, weakly aligned, and ARX ciphers, we apply AutoDiVer to GIFT, PRESENT, RECTANGLE, SKINNY, Midori, WARP, SPECK, and SPEEDY.
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Levy, Jacob T. "FEDERALISM AND THE OLD AND NEW LIBERALISMS." Social Philosophy and Policy 24, no. 1 (2006): 306–26. http://dx.doi.org/10.1017/s0265052507070136.

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The transition from a relatively federal to a relatively centralized constitutional structure in the United States has often been identified with the shift from classical to welfare liberalism as a matter of public philosophy. This article argues against that distinction. The liberal argument for federalism is a contingent one, built on approximations, counterbalancing, and political power. A more federalist constitution is not automatically a freer one on classical liberal understandings of freedom. Neither is a more centralized constitution automatically a better match with the ideals of welfare liberalism. The article sketches a constitutional history of federalism from the founding, through an era in which centralization was aligned with skepticism about liberal constitutionalism (for both meanings of liberal), to an era in which centralization was aligned with increases in liberal freedom (for both meanings of liberal).
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Gippert, Jost, and Daniel Stökl Ben Ezra. "Reading Georgian Manuscripts Automatically on the eScriptorium Platform." Digital Kartvelology 3 (December 27, 2024): 5–24. https://doi.org/10.62235/dk.3.2024.8508.

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The article outlines the development of means for an automatic reading of Georgian manuscripts on the eScriptorium platform and the first results achieved with them. After an overview of the efforts undertaken in applying Optical Character Recognition (OCR) to Georgian printed books since the late 1980’s and a short introduction into the basics of the eScriptorium approach to Handwritten Text Recognition (HCR) and its functionalities, it exemplifies the application of the three core procedures of eScriptorium, which consist in the automatic segmentation of text-covered regions and lines, the automatic transcription of the detected lines based on manual input and the training of appropriate models, and the alignment with existing electronic texts in order to provide reliable ground truth for further training. With a total of 292 manually transcribed pages and 3812 pages with aligned (but not yet always corrected) text that have been processed so far, there is a strong material basis for further improvement of the models and the reading results depending on them.
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Repar, Andraž, Vid Podpečan, Anže Vavpetič, Nada Lavrač, and Senja Pollak. "TermEnsembler." Terminology 25, no. 1 (2019): 93–120. http://dx.doi.org/10.1075/term.00029.rep.

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Abstract This paper describes TermEnsembler, a bilingual term extraction and alignment system utilizing a novel ensemble learning approach to bilingual term alignment. In the proposed system, the processing starts with monolingual term extraction from a language industry standard file type containing aligned English and Slovenian texts. The two separate term lists are then automatically aligned using an ensemble of seven bilingual alignment methods, which are first executed separately and then merged using the weights learned with an evolutionary algorithm. In the experiments, the weights were learned on one domain and tested on two other domains. When evaluated on the top 400 aligned term pairs, the precision of term alignment is over 96%, while the number of correctly aligned multi-word unit terms exceeds 30% when evaluated on the top 400 term pairs.
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Repar, Andraž, Vid Podpečan, Anže Vavpetič, Nada Lavrač, and Senja Pollak. "TermEnsembler: An enseble learning approach to bilingual term extraction and alignment." Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 25, no. 1 (2019): 93–120. https://doi.org/10.1075/term.00029.rep.

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This paper describes TermEnsembler, a bilingual term extraction and alignment system utilizing a novel ensemble learning approach to bilingual term alignment. In the proposed system, the processing starts with monolingual term extraction from a language industry standard file type containing aligned English and Slovenian texts. The two separate term lists are then automatically aligned using an ensemble of seven bilingual alignment methods, which are first executed separately and then merged using the weights learned with an evolutionary algorithm. In the experiments, the weights were learned on one domain and tested on two other domains. When evaluated on the top 400 aligned term pairs, the precision of term alignment is over 96%, while the number of correctly aligned multi-word unit terms exceeds 30% when evaluated on the top 400 term pairs.
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Book chapters on the topic "Automatically aligned"

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Dolques, Xavier, Aymen Dogui, Jean-Rémy Falleri, Marianne Huchard, Clémentine Nebut, and François Pfister. "Easing Model Transformation Learning with Automatically Aligned Examples." In Modelling Foundations and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21470-7_14.

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Lundén, Daniel, Gizem Çaylak, Fredrik Ronquist, and David Broman. "Automatic Alignment in Higher-Order Probabilistic Programming Languages." In Programming Languages and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30044-8_20.

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AbstractProbabilistic Programming Languages (PPLs) allow users to encode statistical inference problems and automatically apply an inference algorithm to solve them. Popular inference algorithms for PPLs, such as sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC), are built around checkpoints—relevant events for the inference algorithm during the execution of a probabilistic program. Deciding the location of checkpoints is, in current PPLs, not done optimally. To solve this problem, we present a static analysis technique that automatically determines checkpoints in programs, relieving PPL users of this task. The analysis identifies a set of checkpoints that execute in the same order in every program run—they are aligned. We formalize alignment, prove the correctness of the analysis, and implement the analysis as part of the higher-order functional PPL Miking CorePPL. By utilizing the alignment analysis, we design two novel inference algorithm variants: aligned SMC and aligned lightweight MCMC. We show, through real-world experiments, that they significantly improve inference execution time and accuracy compared to standard PPL versions of SMC and MCMC.
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Hotomski, Sofija, Eya Ben Charrada, and Martin Glinz. "Keeping Evolving Requirements and Acceptance Tests Aligned with Automatically Generated Guidance." In Requirements Engineering: Foundation for Software Quality. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77243-1_15.

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Fossum, Victoria, and Steven Abney. "Automatically Inducing a Part-of-Speech Tagger by Projecting from Multiple Source Languages Across Aligned Corpora." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562214_75.

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Li, Chengxuan, and Xingyu Liu. "Optimising Urban Morphological Tessellation: Methodological Advancements Using Adaptive Tessellation and Guided Triangulation." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4749-1_5.

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Abstract The built form of cities is a synthesis of various aspects including climate, culture, and economics, presenting a challenge in the analysis of urban morphology. The ‘plot’ has been used as the basic unit of analysis which aggregates formal and relational attributes essential to urban morphological analysis. The recently introduced Morphological Tessellation (MT) method automatically generates morphological units from building profiles, using a Voronoi Tessellation (VT). However, the generation of higher quality tessellation results relies on resource-intensive computing and careful configuration of proper parameter presets. To address this issue, this paper introduces an adaptive tessellation workflow based on the improvement of a specific tessellation pattern near closely aligned buildings. This paper then discusses a method to incorporate linear guides to control the tessellation outcome, allowing for increased control over the shape of the outcome of MT. The workflow is realised in a Grasshopper Assembly developed for Rhinoceros 3D in C#. This workflow proves to generate geometrically desirable outcomes with substantially reduced computational workload.
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Ghazawi, Rayed, and Edwin Simpson. "Designing Essay Questions for Effective Automatic Scoring." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_24.

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Abstract The domain of automatic essay scoring (AES) has increasingly garnered attention, buoyed by advancements in natural language processing (NLP) and deep learning. Despite the progress, much of the existing research has narrowly focused on developing NLP models, and has conducted performance evaluations across diverse essay types without considering the influence of question characteristics on scoring accuracy. This study reviews pedagogical literature on essay assessments to introduce a set of criteria for crafting essay questions that can be scored automatically with high accuracy. Our criteria emphasize measurable learning objectives, the consolidation of questions to a single learning goal, and the stipulation of restricted answers to ensure ease and consistency in evaluation. Experiments with the ASAP dataset show variations in the scoring accuracy of BERT-based AES systems across essay types. Notably, essays aligned with our proposed criteria exhibited superior performance, showcasing an improvement in scoring accuracy by over 40%. This enhancement not only the underscores efficacy of our approach, but more broadly implies that integrating these criteria could expand the utility of AES systems, enabling their more widespread application.
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Park, Sung Hee. "Classification with Axis-Aligned Rectangular Boundaries." In Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-429-1.ch019.

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This chapter presents a new method for binary classification that classifies input data into two regions separated by axis-aligned rectangular boundaries. Given the number of rectangular regions to use, this algorithm automatically finds the best boundaries that are determined concurrently. The formulation of the optimization problem involves minimizing the sum of minimum functions. To solve this problem, the author introduces underestimate of the minimum function with piecewise linear and convex envelope, which results in mixed integer and linear programming. The author shows several results of the algorithm and compare the effects of each term in the objective function. Finally, the chapter demonstrates that the method can be used in image capturing application to determine the optimal scheme that minimizes the total readout time of pixel data.
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Li Xiang, Liu Haifeng, Zhang Shilei, et al. "Automatic Variance Analysis of Multistage Care Pathways." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-432-9-715.

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A care pathway (CP) is a standardized process that consists of multiple care stages, clinical activities and their relations, aimed at ensuring and enhancing the quality of care. However, actual care may deviate from the planned CP, and analysis of these deviations can help clinicians refine the CP and reduce medical errors. In this paper, we propose a CP variance analysis method to automatically identify the deviations between actual patient traces in electronic medical records (EMR) and a multistage CP. As the care stage information is usually unavailable in EMR, we first align every trace with the CP using a hidden Markov model. From the aligned traces, we report three types of deviations for every care stage: additional activities, absent activities and violated constraints, which are identified by using the techniques of temporal logic and binomial tests. The method has been applied to a CP for the management of congestive heart failure and real world EMR, providing meaningful evidence for the further improvement of care quality.
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Zhu, Dan, Zhong’ao Zhang, and Zuowei Xu. "A Method for Automatically Capturing Abnormal Data in Power Monitoring Networks Based on Deep Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231194.

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In order to improve the quality of power monitoring and avoid interference from abnormal data on monitoring results, a deep learning based automatic capture method for abnormal data in power monitoring networks is proposed. Firstly, the gradually aligned fusion network in deep learning is used to extract the feature sequence of power monitoring network data, and the feature fusion of power monitoring data is completed through the calculation of weights and feature channels. Finally, input the fused data features of the power monitoring network into the support vector machine, and complete the classification of abnormal data and normal data by constructing the optimal hyperplane, achieving automatic capture of abnormal data. The experimental results show that compared with existing anomaly data capture methods, our method has higher recall and shorter capture time.
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He, Peng, Namsoo Shin, Xiaoming Zhai, and Joseph Krajcik. "A Design Framework for Integrating Artificial Intelligence to Support Teachers’ Timely Use of Knowledge-in-Use Assessments." In Uses of Artificial Intelligence in STEM Education. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198882077.003.0016.

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Abstract Artificial intelligence (AI) technologies, including machine learning and data mining, have been extensively adopted to automate scoring of student responses to performance-based assessment tasks in classrooms, subsequently generating informative assessment reports. Although the innovative potential of these technologies is widely acknowledged, teachers often find it challenging to utilize these assessment data for instructional decisions. This is particularly evident when the data are sourced from assessments aligned with the Next Generation Science Standards in classroom environments. This chapter introduces a design framework guiding by cognitive theories to facilitate teachers’ utilization of AI-based knowledge-in-use assessments in support of their instructional decisions. The framework comprises four stages: engaging with the AI system via professional learning support, evaluating the automatically generated assessment reports, considering AI-suggested instructional strategies, and determining instructional decisions and actions. Furthermore, this chapter provides insight into the current project design work, which encompasses automated reports on student knowledge-in-use performance and content-specific instructional strategies.
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Conference papers on the topic "Automatically aligned"

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Yu, Tao, Ye Xia, and Limin Sun. "A Machine Learning-Enhanced Method to Bridge Condition Evaluation considering Defect Prioritization." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0116.

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<p>Accurate bridge condition assessment is essential for bridge management and maintenance. Traditional hierarchical evaluation methods in China have highlighted two key issues: components with minor defects are often scored lower than those with severe defects, and the defect names in inspection reports do not always align with those described in the relevant guidelines. This paper introduces a modified bridge assessment method to address these issues. The proposed methods include adjusting the scoring model to prioritize structural defects and reduce deductions for non- structural defects. Subsequent to this, a machine learning-Enhanced text classification model is developed to automatically identify defects and differentiate the structural ones and non-structural ones. The accuracy of the proposed method was validated using inspection reports of bridges in Shanghai. This method provides valuable improvements to evaluation and management processes.</p>
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Harris, M., R. Loudon, J. W. H. Perry, T. J. Shepherd, and J. M. Vaughan. "An Automatically Aligned Lidar System." In Coherent Laser Radar. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.md5.

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Optimum alignment of a coherent lidar is notoriously difficult to achieve1, particularly in compact systems designed for field operation. The correct spatial overlap and wavefront matching of signal and local oscillator beams can be especially time-consuming in systems at non-visible wavelengths (eg CO2). Several authors have suggested re-injection of the signal into the laser oscillator to achieve automatic alignment2-4.
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Elsner, Micha, and Kiwako Ito. "An Automatically Aligned Corpus of Child-Directed Speech." In Interspeech 2017. ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-379.

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Tian, Qingyuan, Lars-Goran Ofverstedt, and Ulf Skoglund. "Semi-automatically aligned tilt images in electron tomography." In 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2017. http://dx.doi.org/10.1109/iciibms.2017.8279738.

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Lehment, Nicolas H., Daniel Merget, and Gerhard Rigoll. "Creating automatically aligned consensus realities for AR videoconferencing." In 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE, 2014. http://dx.doi.org/10.1109/ismar.2014.6948428.

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Globo, Achille, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini, Marco Maggini, and Stefano Melacci. "Neural Paraphrasing by Automatically Crawled and Aligned Sentence Pairs." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931824.

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Lei, Jiajia, Jindan Zhou, and Mohamed Abdel-Mottaleb. "Gender classification using automatically detected and aligned 3D ear range data." In 2013 International Conference on Biometrics (ICB). IEEE, 2013. http://dx.doi.org/10.1109/icb.2013.6612995.

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Rosolen, Grahame C., and Warren D. King. "Direct-write electron beam lithography automatically aligned with optical lithography for device fabrication." In Microelectronic Manufacturing Technologies, edited by Chris A. Mack and Tom Stevenson. SPIE, 1999. http://dx.doi.org/10.1117/12.346885.

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Hashemi, Mona, Lars Manholm, Martin N. Johansson, and Mikael Coldrey. "Simulation performance of NLOS wireless backhaul using automatically aligned antennas with limited scan range." In 2016 10th European Conference on Antennas and Propagation (EuCAP). IEEE, 2016. http://dx.doi.org/10.1109/eucap.2016.7481997.

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Zhang, Mike Tao, and Ken Goldberg. "Internet-Based CAD Tool for Design of Gripper Jaws." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34460.

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We describe an Internet-based CAD tool that automatically designs gripper jaws to align a given part from an initial orientation to a desired final orientation. We describe algorithmic improvements in computational efficiency, frictional analysis and form closure analysis. We describe the interface and give examples. We then apply the design tool to identify conditions under which jaw designs exist, leading to an analytic condition for triangular parts that cannot be aligned. The CAD tool is available online at www.ieor.berkeley.edu/~goldberg/sa-gripper/.
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Reports on the topic "Automatically aligned"

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Koduru, Smitha. PR-244-173856-WEB ILI Crack Tool Reliability and Performance Evaluation. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011617.

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Wednesday, October 2, 2019 11:00 a.m. ET PRESENTER: Smitha Koduru, PhD, C-FER Technologies HOST: Steven Bott, Enbridge MODERATOR: John Lynk, PRCI CLICK THE DOWNLOAD/BUY BUTTON TO ACCESS TO THE WEBINAR REGISTRATION LINK Join the PRCI Integrity and Inspection Technical Committee as they present an expansion of previous PRCI research related to ILI performance data. The new research has been expanded to include experience with UT and EMAT in-line inspection data aligned with in-the-ditch NDE results. Also included are improved statistical characterization of crack inline inspection performance; increasing the reliable application of crack ILI to manage cracking and SCC recommendations for in-the-ditch NDE; and information collected to maximize the ability of operators to measure crack ILI performance. Learning outcomes/benefits of attending this webinar: - Learn about the data sets featured in the industry-wide database for crack features identified with in-line inspection tools (ILI) and/or field non-destructive examination (NDE). - Know the influence of pipe attributes, such as seam weld type, and NDE performance on the crack detection and sizing performance assessment of ILI tools - Understand the methods required to use data from multiple ILI runs and field measurements for increased confidence in crack detection and sizing - Recognize the value of collecting full crack profile data for integrity management Who should attend? - Integrity personnel, analyst, engineers and management - Inline inspection vendor personnel Recommended pre-reading: PR-244-173856-R01 In-line Inspection Crack Tool Reliability and Performance Evaluation Not able to attend? Register anyway to automatically receive a link to the webinar recording to view on-demand at your convenience. Attendance is limited to the first 500 registrants to join the webinar. All remaining registrants will receive a link to view the webinar recording. After registering, you will receive a confirmation email containing information about joining the webinar. Please click here to view more webinars that may be of interest to you!
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