Relevant bibliographies by topics / Featue location

Academic literature on the topic 'Featue location'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Featue location"

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Shum, Leia C., Reza Faieghi, Terry Borsook, Tamim Faruk, Souraiya Kassam, Hoda Nabavi, Sofija Spasojevic, James Tung, Shehroz S. Khan, and Andrea Iaboni. "Indoor Location Data for Tracking Human Behaviours: A Scoping Review." Sensors 22, no. 3 (February 5, 2022): 1220. http://dx.doi.org/10.3390/s22031220.

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Real-time location systems (RTLS) record locations of individuals over time and are valuable sources of spatiotemporal data that can be used to understand patterns of human behaviour. Location data are used in a wide breadth of applications, from locating individuals to contact tracing or monitoring health markers. To support the use of RTLS in many applications, the varied ways location data can describe patterns of human behaviour should be examined. The objective of this review is to investigate behaviours described using indoor location data, and particularly the types of features extracted from RTLS data to describe behaviours. Four major applications were identified: health status monitoring, consumer behaviours, developmental behaviour, and workplace safety/efficiency. RTLS data features used to analyse behaviours were categorized into four groups: dwell time, activity level, trajectory, and proximity. Passive sensors that provide non-uniform data streams and features with lower complexity were common. Few studies analysed social behaviours between more than one individual at once. Less than half the health status monitoring studies examined clinical validity against gold-standard measures. Overall, spatiotemporal data from RTLS technologies are useful to identify behaviour patterns, provided there is sufficient richness in location data, the behaviour of interest is well-characterized, and a detailed feature analysis is undertaken.
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Bichot, Narcisse R., Kyle R. Cave, and Harold Pashler. "Visual selection mediated by location: Feature-based selection of noncontiguous locations." Perception & Psychophysics 61, no. 3 (April 1999): 403–23. http://dx.doi.org/10.3758/bf03211962.

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Yang, Yang, Huiwen Zheng, Chunhua Wang, Wanyue Xiao, and Taigang Liu. "Predicting Apoptosis Protein Subcellular Locations based on the Protein Overlapping Property Matrix and Tri-Gram Encoding." International Journal of Molecular Sciences 20, no. 9 (May 11, 2019): 2344. http://dx.doi.org/10.3390/ijms20092344.

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To reveal the working pattern of programmed cell death, knowledge of the subcellular location of apoptosis proteins is essential. Besides the costly and time-consuming method of experimental determination, research into computational locating schemes, focusing mainly on the innovation of representation techniques on protein sequences and the selection of classification algorithms, has become popular in recent decades. In this study, a novel tri-gram encoding model is proposed, which is based on using the protein overlapping property matrix (POPM) for predicting apoptosis protein subcellular location. Next, a 1000-dimensional feature vector is built to represent a protein. Finally, with the help of support vector machine-recursive feature elimination (SVM-RFE), we select the optimal features and put them into a support vector machine (SVM) classifier for predictions. The results of jackknife tests on two benchmark datasets demonstrate that our proposed method can achieve satisfactory prediction performance level with less computing capacity required and could work as a promising tool to predict the subcellular locations of apoptosis proteins.
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Zhang, Ting-He, and Shao-Wu Zhang. "Advances in the Prediction of Protein Subcellular Locations with Machine Learning." Current Bioinformatics 14, no. 5 (June 28, 2019): 406–21. http://dx.doi.org/10.2174/1574893614666181217145156.

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Background: Revealing the subcellular location of a newly discovered protein can bring insight into their function and guide research at the cellular level. The experimental methods currently used to identify the protein subcellular locations are both time-consuming and expensive. Thus, it is highly desired to develop computational methods for efficiently and effectively identifying the protein subcellular locations. Especially, the rapidly increasing number of protein sequences entering the genome databases has called for the development of automated analysis methods. Methods: In this review, we will describe the recent advances in predicting the protein subcellular locations with machine learning from the following aspects: i) Protein subcellular location benchmark dataset construction, ii) Protein feature representation and feature descriptors, iii) Common machine learning algorithms, iv) Cross-validation test methods and assessment metrics, v) Web servers. Result & Conclusion: Concomitant with a large number of protein sequences generated by highthroughput technologies, four future directions for predicting protein subcellular locations with machine learning should be paid attention. One direction is the selection of novel and effective features (e.g., statistics, physical-chemical, evolutional) from the sequences and structures of proteins. Another is the feature fusion strategy. The third is the design of a powerful predictor and the fourth one is the protein multiple location sites prediction.
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Li, Da, and Zhao Niu. "A Wireless Fingerprint Positioning Method Based on Wavelet Transform and Deep Learning." ISPRS International Journal of Geo-Information 10, no. 7 (June 29, 2021): 442. http://dx.doi.org/10.3390/ijgi10070442.

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As the demand for location services increases, research on location technology has aroused great interest. In particular, signal-based fingerprint location positioning technology has become a research hotspot owing to its high positioning performance. In general, the received signal strength indicator (RSSI) will be used as a location feature to build a fingerprint database. However, at different locations, this feature distinction may not be obvious, resulting in low positioning accuracy. Considering the wavelet transform can get valuable features from the signals, the long-term evolution (LTE) signals were converted into wavelet feature images to construct the fingerprint database. To fully extract the signal features, a two-level hierarchical structure positioning system is proposed to achieve satisfactory positioning accuracy. A deep residual network (ResNet) rough locator is used to learn useful features from the wavelet feature fingerprint image database. Then, inspired by the transfer learning idea, a fine locator based on multilayer perceptron (MLP) is leveraged to further learn the features of the wavelet fingerprint image to obtain better localization performance. Additionally, multiple data enhancement techniques were adopted to increase the richness of the fingerprint dataset, thereby enhancing the robustness of the positioning system. Experimental results indicate that the proposed system leads to improved positioning performance in outdoor environments.
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Hanning, Nina M., Donatas Jonikaitis, Heiner Deubel, and Martin Szinte. "Oculomotor selection underlies feature retention in visual working memory." Journal of Neurophysiology 115, no. 2 (February 1, 2016): 1071–76. http://dx.doi.org/10.1152/jn.00927.2015.

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Oculomotor selection, spatial task relevance, and visual working memory (WM) are described as three processes highly intertwined and sustained by similar cortical structures. However, because task-relevant locations always constitute potential saccade targets, no study so far has been able to distinguish between oculomotor selection and spatial task relevance. We designed an experiment that allowed us to dissociate in humans the contribution of task relevance, oculomotor selection, and oculomotor execution to the retention of feature representations in WM. We report that task relevance and oculomotor selection lead to dissociable effects on feature WM maintenance. In a first task, in which an object's location was encoded as a saccade target, its feature representations were successfully maintained in WM, whereas they declined at nonsaccade target locations. Likewise, we observed a similar WM benefit at the target of saccades that were prepared but never executed. In a second task, when an object's location was marked as task relevant but constituted a nonsaccade target (a location to avoid), feature representations maintained at that location did not benefit. Combined, our results demonstrate that oculomotor selection is consistently associated with WM, whereas task relevance is not. This provides evidence for an overlapping circuitry serving saccade target selection and feature-based WM that can be dissociated from processes encoding task-relevant locations.
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Zhou, G., Q. Li, G. Deng, T. Yue, and X. Zhou. "MINING CO-LOCATION PATTERNS WITH CLUSTERING ITEMS FROM SPATIAL DATA SETS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (May 2, 2018): 2505–9. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2505-2018.

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The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the spatial data mining. Co-location patterns discovery is an important branch in spatial data mining. Spatial co-locations represent the subsets of features which are frequently located together in geographic space. However, the appearance of a spatial feature C is often not determined by a single spatial feature A or B but by the two spatial features A and B, that is to say where A and B appear together, C often appears. We note that this co-location pattern is different from the traditional co-location pattern. Thus, this paper presents a new concept called clustering terms, and this co-location pattern is called co-location patterns with clustering items. And the traditional algorithm cannot mine this co-location pattern, so we introduce the related concept in detail and propose a novel algorithm. This algorithm is extended by join-based approach proposed by Huang. Finally, we evaluate the performance of this algorithm.
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Szinte, Martin, Donatas Jonikaitis, Martin Rolfs, Patrick Cavanagh, and Heiner Deubel. "Presaccadic motion integration between current and future retinotopic locations of attended objects." Journal of Neurophysiology 116, no. 4 (October 1, 2016): 1592–602. http://dx.doi.org/10.1152/jn.00171.2016.

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Object tracking across eye movements is thought to rely on presaccadic updating of attention between the object's current and its “remapped” location (i.e., the postsaccadic retinotopic location). We report evidence for a bifocal, presaccadic sampling between these two positions. While preparing a saccade, participants viewed four spatially separated random dot kinematograms, one of which was cued by a colored flash. They reported the direction of a coherent motion signal at the cued location while a second signal occurred simultaneously either at the cue's remapped location or at one of several control locations. Motion integration between the signals occurred only when the two motion signals were congruent and were shown at the cue and at its remapped location. This shows that the visual system integrates features between both the current and the future retinotopic locations of an attended object and that such presaccadic sampling is feature specific.
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Wang, Xiao, Hui Li, Rong Wang, Qiuwen Zhang, Weiwei Zhang, and Yong Gan. "MultiP-Apo: A Multilabel Predictor for Identifying Subcellular Locations of Apoptosis Proteins." Computational Intelligence and Neuroscience 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/9183796.

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Apoptosis proteins play an important role in the mechanism of programmed cell death. Predicting subcellular localization of apoptosis proteins is an essential step to understand their functions and identify drugs target. Many computational prediction methods have been developed for apoptosis protein subcellular localization. However, these existing works only focus on the proteins that have one location; proteins with multiple locations are either not considered or assumed as not existing when constructing prediction models, so that they cannot completely predict all the locations of the apoptosis proteins with multiple locations. To address this problem, this paper proposes a novel multilabel predictor named MultiP-Apo, which can predict not only apoptosis proteins with single subcellular location but also those with multiple subcellular locations. Specifically, given a query protein, GO-based feature extraction method is used to extract its feature vector. Subsequently, the GO feature vector is classified by a new multilabel classifier based on the label-specific features. It is the first multilabel predictor ever established for identifying subcellular locations of multilocation apoptosis proteins. As an initial study, MultiP-Apo achieves an overall accuracy of 58.49% by jackknife test, which indicates that our proposed predictor may become a very useful high-throughput tool in this area.
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Costa Tomaz de Souza, Arthur, Georgy Ayzel, and Maik Heistermann. "Quantifying the Location Error of Precipitation Nowcasts." Advances in Meteorology 2020 (December 2, 2020): 1–12. http://dx.doi.org/10.1155/2020/8841913.

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In precipitation nowcasting, it is common to track the motion of precipitation in a sequence of weather radar images and to extrapolate this motion into the future. The total error of such a prediction consists of an error in the predicted location of a precipitation feature and an error in the change of precipitation intensity over lead time. So far, verification measures did not allow isolating the extent of location errors, making it difficult to specifically improve nowcast models with regard to location prediction. In this paper, we introduce a framework to directly quantify the location error. To that end, we detect and track scale-invariant precipitation features (corners) in radar images. We then consider these observed tracks as the true reference in order to evaluate the performance (or, inversely, the error) of any model that aims to predict the future location of a precipitation feature. Hence, the location error of a forecast at any lead time Δt ahead of the forecast time t corresponds to the Euclidean distance between the observed and the predicted feature locations at t + Δt. Based on this framework, we carried out a benchmarking case study using one year worth of weather radar composites of the German Weather Service. We evaluated the performance of four extrapolation models, two of which are based on the linear extrapolation of corner motion from t − 1 to t (LK-Lin1) and t − 4 to t (LK-Lin4) and the other two are based on the Dense Inverse Search (DIS) method: motion vectors obtained from DIS are used to predict feature locations by linear (DIS-Lin1) and Semi-Lagrangian extrapolation (DIS-Rot1). Of those four models, DIS-Lin1 and LK-Lin4 turned out to be the most skillful with regard to the prediction of feature location, while we also found that the model skill dramatically depends on the sinuosity of the observed tracks. The dataset of 376,125 detected feature tracks in 2016 is openly available to foster the improvement of location prediction in extrapolation-based nowcasting models.
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Dissertations / Theses on the topic "Featue location"

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Schulte, Lukas. "Investigating topic modeling techniques for historical feature location." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85379.

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Software maintenance and the understanding of where in the source code features are implemented are two strongly coupled tasks that make up a large portion of the effort spent on developing applications. The concept of feature location investigated in this thesis can serve as a supporting factor in those tasks as it facilitates the automation of otherwise manual searches for source code artifacts. Challenges in this subject area include the aggregation and composition of a training corpus from historical codebase data for models as well as the integration and optimization of qualified topic modeling techniques. Building up on previous research, this thesis provides a comparison of two different techniques and introduces a toolkit that can be used to reproduce and extend on the results discussed. Specifically, in this thesis a changeset-based approach to feature location is pursued and applied to a large open-source Java project. The project is used to optimize and evaluate the performance of Latent Dirichlet Allocation models and Pachinko Allocation models, as well as to compare the accuracy of the two models with each other. As discussed at the end of the thesis, the results do not indicate a clear favorite between the models. Instead, the outcome of the comparison depends on the metric and viewpoint from which it is assessed.
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Farag, Emad William. "Online multi-person tracking using feature-less location measurements." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/112867.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
This thesis presents a scalable real-time multi-object tracking system based on feature-less location measurements. The thesis introduces a two-stage object tracking algorithm along with a server infrastructure that allows users to view the tracking results live, replay old frames, or compute long-term analytics based on the tracking results. In the first tracking stage, consecutive measurements are connected to form short tracklets using an algorithm based on MHT. In the second stage, the tracklets are connected to form longer tracks in an algorithm that reduces the tracking problem to a minimum-cost flow problem. The system infrastructure allows for a large number of connected devices or sensors while reducing the possible points of failure. The tracking algorithms are evaluated in a controlled environment and in a daylong experiment in a real setting. In the latter, the number of people detected by the tracking algorithms was correct 83% of the time when tracking was done using noisy motion-based measurements.
by Emad William Farag.
M. Eng.
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Oleg, Kravchenko, and Кравченко Олег Вадимович. "Features of location under airports technogenic landscapes." Thesis, НАУ, 2016. http://er.nau.edu.ua/handle/NAU/24677.

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Modern changes in human activity significantly alter the appearance of the urban environment and occur in three areas: diversity and transformation functionality by creating additional conditions for recreation, entertainment, climate change due to changing the system of transport services, the creation of new transport infrastructure (eg airports ) the use of new methods of spatial organization of urban areas; desire for brightness architectural forms, unusual appearance of urban design elements, compounds in them diverse functions.
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Otterson, Scott. "Use of speaker location features in meeting diarization /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/15463.

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Jedari, Fathi Elnaz. "NOISE IMPACT REDUCTION IN CLASSIFICATION APPROACH PREDICTING SOCIAL NETWORKS CHECK-IN LOCATIONS." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2110.

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Since August 2010, Facebook has entered the self-reported positioning world by providing the check-in service to its users. This service allows users to share their physical location using the GPS receiver in their mobile devices such as a smart-phone, tablet, or smart-watch. Over the years, big datasets of recorded check-ins have been collected with increasing popularity of social networks. Analyzing the check-in datasets reveals valuable information and patterns in users’ check-in behavior as well as places check-in history. The analysis results can be used in several areas including business planning and financial decisions, for instance providing location-based deals. In this thesis, we leverage novel data mining methodology to learn from big check-in data and predict the next check-in place based on only places’ history and with no reference to individual users. To this end, we study a large Facebook check-in dataset. This dataset has a high level of noise in location coordinates due to multiple collection sources, which are users’ mobile devices. The research question is how we can leverage a noise impact reduction technique to enhance performance of prediction model. We design our own noise handling mechanism to deal with feature noise. The predictive model is generated by Random Forest classification algorithm in a shared-memory parallel environment. We represent how the performance of predictors is enhanced by minimizing noise impacts. The solution is a preprocessing feature noise cleansing approach implemented in R and works fast for big check-in datasets.
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Debenham, Robert Michael. "Studies in learning and feature location with an artificial neural network." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334159.

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DeLozier, Gregory Steven. "Feature Location using Unit Test Coverage in an Agile Development Environment." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1406157529.

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Riggins, Jamie N. "Location Estimation of Obstacles for an Autonomous Surface Vehicle." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33227.

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As the mission field for autonomous vehicles expands into a larger variety of territories, the development of autonomous surface vehicles (ASVs) becomes increasingly important. ASVs have the potential to travel for long periods of time in areas that cannot be reached by aerial, ground, or underwater autonomous vehicles. ASVs are useful for a variety of missions, including bathymetric mapping, communication with other autonomous vehicles, military reconnaissance and surveillance, and environmental data collecting. Critical to an ASV's ability to maneuver without human intervention is its ability to detect obstacles, including the shoreline. Prior topological knowledge of the environment is not always available or, in dynamic environments, reliable. While many existing obstacle detection systems can only detect 3D obstacles at close range via a laser or radar signal, vision systems have the potential to detect obstacles both near and far, including "flat" obstacles such as the shoreline. The challenge lies in processing the images acquired by the vision system and extracting useful information. While this thesis does not address the issue of processing the images to locate the pixel positions of the obstacles, we assume that we have these processed images available. We present an algorithm that takes these processed images and, by incorporating the kinematic model of the ASV, maps the pixel locations of the obstacles into a global coordinate system. An Extended Kalman Filter is used to localize the ASV and the surrounding obstacles.
Master of Science
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Buthker, Gregory S. "Automated Vehicle Electronic Control Unit (ECU) Sensor Location Using Feature-Vector Based Comparisons." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1558613387729083.

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Li, Qi. "Interactions between Visual Attention and Visual Working Memory." Kyoto University, 2015. http://hdl.handle.net/2433/199403.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(人間・環境学)
甲第19079号
人博第732号
新制||人||176(附属図書館)
26||人博||732(吉田南総合図書館)
32030
京都大学大学院人間・環境学研究科共生人間学専攻
(主査)教授 齋木 潤, 教授 船橋 新太郎, 准教授 月浦 崇
学位規則第4条第1項該当
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Books on the topic "Featue location"

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Wilson, R. Gale. Radiometric responsivity determination for Feature Identification and Location Experiment (FILE) flown on Space Shuttle Mission 41-G. Hampton, Va: Langley Research Center, 1986.

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Horton's guide to Britain's railways in feature films. Kettering: Silver Link, 2007.

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Laukkanen, Manne. Geographic profiling: Using home to crime distances and crime features to predict offender home location. Helsinki: Nord Print, 2007.

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American Water Works Association. Illinois Section. Illinois Section AWWA, Illinois EPA and Illinois Rural Water Assoc. presents double feature seminars coming soon to a location near you. Springfield, Ill.]: [Illinois Environmental Protection Agency], 1993.

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Merrill, Elizabeth, ed. Creating Place in Early Modern European Architecture. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463728027.

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The importance of place—as a unique spatial identity—has been recognized since antiquity. Ancient references to the ‘genius loci’, or spirit of place, evoked not only the location of a distinct atmosphere or environment, but also the protection of this location, and implicitly, its making and construction. This volume examines the concept of place as it relates to architectural production and building knowledge in early modern Europe (1400-1800). The places explored in the book’s ten essays take various forms, from an individual dwelling to a cohesive urban development to an extensive political territory. Within the scope of each study, the authors draw on primary source documents and original research to demonstrate the distinctive features of a given architectural place, and how these are related to a geographic location, social circumstances, and the contributions of individual practitioners. The essays underscore the distinct techniques, practices and organizational structures by which physical places were made in the early modern period.
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Gomes, Catherine, Lily Kong, and Orlando Woods, eds. Religion, Hypermobility and Digital Media in Global Asia. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463728935.

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Digital media is changing the ways in which religion is practiced, understood, proselytised and countered. Religious institutions and leaders use digital media to engage with their congregations who now are not confined to single locations and physical structures. The faithful are part of online communities which allow them a space to worship and to find fellowship. Migrant and mobile subjects thus are able to be connected to their faith -- whether home grown or emerging -- wherever they may be, providing them with an anchor in unfamiliar physical and cultural surroundings. As Asia rises, mobilities associated with Asian populations have escalated. The notion of ‘Global Asia’ is a reflection of this increased mobility, where Asia includes not only Asian countries as sites of political independence, but also the transnational networks of Asian trans/migrants, and the diasporic settlements of Asian peoples all over the world. This collection features cutting edge research by scholars across disciplines seeking to understand the role and significance of religion among transnational mobile subjects in this age of digital media, and in particular, as experienced in Global Asia.
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Rigby-Jones, John. The location of dissolution features in the chalk. 1995.

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Allen, Pusey William. Wilderness Road to Kentucky, Its Location and Features. Creative Media Partners, LLC, 2018.

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Allen, Pusey William. Wilderness Road to Kentucky, Its Location and Features. Creative Media Partners, LLC, 2017.

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Allen, Pusey William. The Wilderness Road to Kentucky: Its Location and Features. Franklin Classics Trade Press, 2018.

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Book chapters on the topic "Featue location"

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Moallem, Abbas. "Location, Location, Location: About Home Networking Devices Location and Features." In Design, User Experience, and Usability. Design Philosophy, Methods, and Tools, 107–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39229-0_13.

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Kim, Hokun, Colin Fyfe, and Hanseok Ko. "Feature Locations in Images." In Lecture Notes in Computer Science, 459–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88906-9_58.

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Overfield, Eric, Rita Zhang, Oscar Medina, and Kanwal Khipple. "Integrating Location-Based Features." In Pro SharePoint 2013 Branding and Responsive Web Development, 421–68. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5029-6_12.

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Perttunen, Mikko, and Jukka Riekki. "Introducing Context-Aware Features into Everyday Mobile Applications." In Location- and Context-Awareness, 316–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11426646_29.

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Li, Yunpeng, Noah Snavely, and Daniel P. Huttenlocher. "Location Recognition Using Prioritized Feature Matching." In Computer Vision – ECCV 2010, 791–804. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15552-9_57.

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Rubin, Julia, and Marsha Chechik. "A Survey of Feature Location Techniques." In Domain Engineering, 29–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36654-3_2.

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Blake, Andrew, and Michael Isard. "Image processing techniques for feature location." In Active Contours, 97–113. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1555-7_5.

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Li, Dan. "Propagation Features and Source Location." In Rail Crack Monitoring Using Acoustic Emission Technique, 29–63. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8348-8_3.

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Zhang, Gang, and Jiansheng Chen. "Feature Fusion for Facial Landmark Point Location." In Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 33–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56991-8_4.

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Kelm, Pascal, Sebastian Schmiedeke, Steven Schockaert, Thomas Sikora, Michele Trevisiol, and Olivier Van Laere. "Georeferencing Flickr Resources Based on Multimodal Features." In Multimodal Location Estimation of Videos and Images, 127–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09861-6_8.

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Conference papers on the topic "Featue location"

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Qayum, Abdul, and Abdul Razzaq. "The Impact of Features on Feature Location." In 2019 International Conference on Frontiers of Information Technology (FIT). IEEE, 2019. http://dx.doi.org/10.1109/fit47737.2019.00011.

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Xue, D., and Y. Xu. "Web-Based Distributed System and Database Modeling for Concurrent Design." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21287.

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Abstract This research introduces a new approach for web-based collaborative concurrent design. In this approach, systems, product libraries, and product databases for modeling different product development life-cycle aspects are distributed at different locations that are linked through the web. Product modeling libraries and databases are described by class features and instance features. Product modeling systems are used for manipulating design activities. A class feature at a remote location can be used for defining a new class feature at the local site. A system at one location can be implemented using the systems at other locations as the components. Distributed life-cycle databases are associated by their relations.
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Hu, Yuan, Yunpeng Chen, Xiang Li, and Jiashi Feng. "Dynamic Feature Fusion for Semantic Edge Detection." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/110.

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Features from multiple scales can greatly benefit the semantic edge detection task if they are well fused. However, the prevalent semantic edge detection methods apply a fixed weight fusion strategy where images with different semantics are forced to share the same weights, resulting in universal fusion weights for all images and locations regardless of their different semantics or local context. In this work, we propose a novel dynamic feature fusion strategy that assigns different fusion weights for different input images and locations adaptively. This is achieved by a proposed weight learner to infer proper fusion weights over multi-level features for each location of the feature map, conditioned on the specific input. In this way, the heterogeneity in contributions made by different locations of feature maps and input images can be better considered and thus help produce more accurate and sharper edge predictions. We show that our model with the novel dynamic feature fusion is superior to fixed weight fusion and also the na\"ive location-invariant weight fusion methods, via comprehensive experiments on benchmarks Cityscapes and SBD. In particular, our method outperforms all existing well established methods and achieves new state-of-the-art.
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Mitsuhara, Hiroyuki, Naoki Miyoshi, and Masami Shishibori. "Location-Based Game for Remembering Shelter Locations, Capacities and Features." In 2022 11th International Conference of Information and Communication Technology (ICTech). IEEE, 2022. http://dx.doi.org/10.1109/ictech55460.2022.00062.

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Waite, J. "Facial feature location using multilayer perceptrons and micro-features." In 1991 IEEE International Joint Conference on Neural Networks. IEEE, 1991. http://dx.doi.org/10.1109/ijcnn.1991.170418.

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Koschke, Rainer, and Jochen Quante. "On dynamic feature location." In the 20th IEEE/ACM international Conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1101908.1101923.

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Dawson, Jane, Rodger Weller, and Girish Rao. "Identification of Coincident Features in Pipelines Using ILI Data." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90134.

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Many pipelines are vulnerable to multiple threats and damage types such as internal and/or external corrosion, axial and/or circumferential cracking, laminations, gouging, dents, ovalities and wrinkles. These different types of damage may occur in isolation or can occur coincidental at the same location in the pipeline. Whilst two or more of these feature types may be coincident in the pipeline, the different feature types often require detection by different ILI technologies which are quite often run at different times and even by different ILI vendors. It is important to identify where different types of features are coincident: • Discrimination and sizing of certain feature types can be adversely affected and hence uncertainties may be higher at these locations. • Evaluation of feature severity should account for the types of feature present and any interaction between features. • To aid the excavation and repair planning processes. It can be difficult and time consuming to identify the exact location where multiple features may be coincident with each other because this requires accurate alignment, accounting for positional tolerances, matching and overlay of data from ILI runs of different technologies and often from several years apart. This paper describes an approach to identify where coincidental features occur within a pipeline by: • Combining and overlaying multiple ILI technologies and data sets in a common interface. • Allowing different proximity tolerances to be used to account for positional accuracy in the determination of coincident feature groups. • Enabling the identification of the ILI reported features (e.g., cracks, internal and external corrosion, dents, mill faults including laminations, gouges etc.) that could be coincident and therefore may interact. Case studies are used to illustrate the approach and to evaluate the results obtained.
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Peng, Xin, Zhenchang Xing, Xi Tan, Yijun Yu, and Wenyun Zhao. "Iterative context-aware feature location." In Proceeding of the 33rd international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1985793.1985939.

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Burke, Joseph T. "Utilizing feature location techniques for feature addition and feature enhancement." In ASE '14: ACM/IEEE International Conference on Automated Software Engineering. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2642937.2653466.

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Zhu, Chen, Mathieu Joerger, and Michael Meurer. "Quantifying Feature Association Error in Camera-based Positioning." In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2020. http://dx.doi.org/10.1109/plans46316.2020.9109919.

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Reports on the topic "Featue location"

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Mathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.

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Agencies use a variety of technologies and data providers to obtain travel time information. The best quality data can be obtained from second-by-second tracking of vehicles, but that data presents many challenges in terms of privacy, storage requirements and analysis. More frequently agencies collect or purchase segment travel time based upon some type of matching of vehicles between two spatially distributed points. Typical methods for that data collection involve license plate re-identification, Bluetooth, Wi-Fi, or some type of rolling DSRC identifier. One of the challenges in each of these sampling techniques is to employ filtering techniques to remove outliers associated with trip chaining, but not remove important features in the data associated with incidents or traffic congestion. This paper describes a curated data set that was developed from high-fidelity GPS trajectory data. The curated data contained 31,621 vehicle observations spanning 42 days; 2550 observations had travel times greater than 3 minutes more than normal. From this baseline data set, outliers were determined using GPS waypoints to determine if the vehicle left the route. Two performance measures were identified for evaluating three outlier-filtering algorithms by the proportion of true samples rejected and proportion of outliers correctly identified. The effectiveness of the three methods over 10-minute sampling windows was also evaluated. The curated data set has been archived in a digital repository and is available online for others to test outlier-filtering algorithms.
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Aldubyan, Mohammad, Moncef Krarti, and Eric Williams. Evaluating Energy Demand and Energy Efficiency Programs in Saudi Residential Buildings. King Abdullah Petroleum Studies and Research Center, February 2021. http://dx.doi.org/10.30573/ks--2020-mp05.

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This paper describes the development of the Residential Energy Model (REEM) for Saudi Arabia using an engineering bottom-up approach. The model can assess energy demand for the current residential building stock and the impact of energy efficiency and demand-side management programs. It accounts for the makeup and features of the Kingdom’s existing housing stock using 54 prototypes of residential buildings defined by three building types, three vintages, and six locations representing different climatic zones.
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Scholl, Lynn, Daniel Oviedo, and Orlando Sabogal-Cardona. Disrupting Personal (In)Security? The Role of Ride-Hailing Service Features, Commute Strategies, and Gender in Mexico City. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003812.

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This paper sheds light on the personal security dimension of ride-hailing from a gender perspective. We explore how features of Transportation Network Companies (TNCs) services affect riders perceptions of security when commuting in ride-hailing services, and how general perceptions of fear of crime shape the way people value such features. Moreover, we analyze the strategies women and men are using to enhance their own security in ride-hailing and factors influencing these strategies. We conducted a survey of users of the TNC DiDi in Mexico City. The statistical methods used are structural equation models SEM and ordered logit models OLOGIT. Results show that women are more likely to value the information made available by ride-hailing applications (e.g., knowing your location or knowing driver information) and the presence of a panic button. The value given to information also increases if a person feels insecure in the streets, in a public transit station or in public transit. People who perceive higher insecurity in the streets have increased positive perceptions of the possibility of travelling without transfers. We also find that women are 64.4% less likely to share ride-hailing trips (pooling) and 2.14 times more likely to share details of their trips through their cellphones.
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Chen, Z., S. E. Grasby, C. Deblonde, and X. Liu. AI-enabled remote sensing data interpretation for geothermal resource evaluation as applied to the Mount Meager geothermal prospective area. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330008.

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The objective of this study is to search for features and indicators from the identified geothermal resource sweet spot in the south Mount Meager area that are applicable to other volcanic complexes in the Garibaldi Volcanic Belt. A Landsat 8 multi-spectral band dataset, for a total of 57 images ranging from visible through infrared to thermal infrared frequency channels and covering different years and seasons, were selected. Specific features that are indicative of high geothermal heat flux, fractured permeable zones, and groundwater circulation, the three key elements in exploring for geothermal resource, were extracted. The thermal infrared images from different seasons show occurrence of high temperature anomalies and their association with volcanic and intrusive bodies, and reveal the variation in location and intensity of the anomalies with time over four seasons, allowing inference of specific heat transform mechanisms. Automatically extracted linear features using AI/ML algorithms developed for computer vision from various frequency bands show various linear segment groups that are likely surface expression associated with local volcanic activities, regional deformation and slope failure. In conjunction with regional structural models and field observations, the anomalies and features from remotely sensed images were interpreted to provide new insights for improving our understanding of the Mount Meager geothermal system and its characteristics. After validation, the methods developed and indicators identified in this study can be applied to other volcanic complexes in the Garibaldi, or other volcanic belts for geothermal resource reconnaissance.
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Outes Velarde, Juliana, Eleanor Carter, and Ruairi Macdonald. INDIGO Impact Bond Insights. Government Outcomes Lab, July 2021. http://dx.doi.org/10.35489/bsg-golab-ri_2021/001.

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This report is part of the GO Lab-supported International Network for Data on Impact and Government Outcomes (INDIGO). This report reflects on the general landscape of impact bond projects across the world. The first section analyses the countries leading the way with impact bonds in a number of categories and it also examines the distribution of projects across different policy sectors. The second section provides an overview of international impact bonds - projects where at least one of the outcome payers is located in a different country to the location of service delivery. It presents key statistics on international impact bonds, and analyses their distribution across policy areas and geographies. The last section features the projects of the Life Chances Fund. This report uses data as of 01 July 2021.
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Kress, Marin, Patricia DiJoseph, Patrick Donohue, and Kenneth Mitchell. Automatic Identification System Analysis Package user guide. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44783.

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The Automatic Identification System Analysis Package (AISAP) enables acquisition, statistical analysis, and visualization of Automatic Identification System (AIS) data from historic vessel position reports. The web-based AISAP software allows the users to choose which data they want to examine for a specific geographic area, time period, and vessel type(s). Built-in features provide vessel characteristics, arrival and departure information within a geofenced area, vessel travel time between two locations, vessel track line plots, and relative density plots of AIS data reports. AISAP accesses the Nationwide Automatic Identification System database hosted by the United States Coast Guard. This user manual provides training exercises for users to follow to familiarize themselves with AISAP procedures and workflows. These training exercises also provide examples of AISAP products.
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Stakes, Keith, Keith Stakes, Julie Bryant, Nick Dow, Jack Regan, and Craig Weinschenk. Analysis of the Coordination of Suppression and Ventilation in Multi-Family Dwellings. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/ympj4047.

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The majority of the existing full-scale fire service research studied the impact of tactics on the residential fireground, specifically in single-family structures. This study builds upon prior research by conducting thirteen experiments in three-story, multi-family dwellings to quantify the impact of coordination between ventilation and suppression actions. Experiments were conducted in four, garden-style apartment buildings; each of which had two lower-level units, four first-floor units, and four second-floor units. The apartments shared a common stairwell that was enclosed for all of the experiments in this study. To examine the effectiveness of tactics in the fire apartment, common stairwell and applicable exposure apartments, four experiments were conducted in lower-level apartments, seven were conducted in first-floor apartments, and two were conducted in second-floor apartments including both bedroom and kitchen/living room fires. The fire size varied based on the amount of initial ventilation provided. The main control variables included the location of initial water application, the ventilation method, and the timing of ventilation relative to water application. The suppression tactics included interior water application, exterior water application followed by interior water application, and a combined interior and exterior water application. The ventilation tactics examined in these experiments included horizontal, vertical, positive pressure, and hydraulic ventilation. Similar to previous experiments in acquired single-family structures, there was no meaningful increase in temperature outside of fire rooms when ventilation tactics were executed in close coordination with (shortly after or shortly before) the onset of suppression. In contrast, for experiments where ventilation occurred with delayed suppression, temperature exposures increased throughout the fire apartment, and in experiments where the apartment door was left open, temperatures and carbon monoxide exposures increased throughout the common stairwell. Suppression actions, whether interior or exterior, resulted in a decrease in temperatures and gas concentrations at locations where occupants may potentially be located. The enclosed common stairwell, a unique feature of this experimental series, acted as capture of combustion products. Opening the apartment door to gain access should be thought of as an important ventilation action, both in terms of its potential to cause fire growth and its potential for smoke movement into the stairwell, limiting the egress for potentially trapped occupants in exposure units. Tactics such as door control, positive pressure ventilation, and hydraulic ventilation which were used both simultaneous with and sequentially post-suppression were shown to limit gas flows into the stairwell. After effective suppression, structure ventilation operations should similarly be cognizant of gas flows, with the aim of establishing flow throughout all areas where occupants may be located.
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Kerrigan, Susan, Phillip McIntyre, and Marion McCutcheon. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Ballarat. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.206963.

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Description Ballarat sits on Wathaurong land and is located at the crossroads of four main Victorian highways. A number of State agencies are located here to support and build entrepreneurial activity in the region. The Ballarat Technology Park, located some way out of the heart of the city at the Mount Helen campus of Federation University, is an attempt to expand and diversify the technology and innovation sector in the region. This university also has a high profile presence in the city occupying part of a historically endowed precinct in the city centre. Because of the wise preservation and maintenance of its heritage listed buildings by the local council, Ballarat has been used as the location for a significant set of feature films, documentaries and television series bringing work to local crews and suppliers. With numerous festivals playing to the cities strengths many creative embeddeds and performing artists take advantage of employment in facilities such as the Museum of Australian Democracy at Eureka. The city has its share of start-ups, as well as advertising, design and architectural firms. The city is noted for its museums, its many theatres and art galleries. All major national networks service the TV and radio sector here while community radio is strong and growing.
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Tschirhart, V., S. Pehrsson, N. Wodicka, J. A. Percival, C. W. Jefferson, T. Peterson, and R G Berman. Geophysical contributions to a synthesis of western Churchill geology and metallogeny. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330639.

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The geophysical data sets available for the western Churchill Province have had a bearing on the understanding of its structure, evolution and metal endowment. New data were acquired and interpreted during the Geo-mapping for Energy and Minerals (GEM) Program (2008-2020). Regional, high-resolution aeromagnetic, and targeted gravity and magnetotelluric surveys were collected in GEM, in conjunction with geological mapping projects, in order to provide control on bedrock features beneath widespread glacial overburden and flat-lying sedimentary basins. Quantitative estimates of three-dimensional geometry were obtained in key areas through geophysical models integrating the geophysical characteristics with local rock property measurements. These geophysical data sets contributed to new knowledge and interpretations in three related research fields: 1) location and nature of Rae cratonmp;gt;'s boundaries within the western Churchill Province; 2) definition of internal Rae architecture; and 3) identification of reactivated structures controlling gold and uranium mineralization. The new data, models and emerging tectonic and metallogenic frameworks will serve as guides for future exploration in this remote, complex, challenging region.
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Johansen, Richard A., Christina L. Saltus, Molly K. Reif, and Kaytee L. Pokrzywinski. A Review of Empirical Algorithms for the Detection and Quantification of Harmful Algal Blooms Using Satellite-Borne Remote Sensing. U.S. Army Engineer Research and Development Center, June 2022. http://dx.doi.org/10.21079/11681/44523.

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Harmful Algal Blooms (HABs) continue to be a global concern, especially since predicting bloom events including the intensity, extent, and geographic location, remain difficult. However, remote sensing platforms are useful tools for monitoring HABs across space and time. The main objective of this review was to explore the scientific literature to develop a near-comprehensive list of spectrally derived empirical algorithms for satellite imagers commonly utilized for the detection and quantification HABs and water quality indicators. This review identified the 29 WorldView-2 MSI algorithms, 25 Sentinel-2 MSI algorithms, 32 Landsat-8 OLI algorithms, 9 MODIS algorithms, and 64 MERIS/Sentinel-3 OLCI algorithms. This review also revealed most empirical-based algorithms fell into one of the following general formulas: two-band difference algorithm (2BDA), three-band difference algorithm (3BDA), normalized-difference chlorophyll index (NDCI), or the cyanobacterial index (CI). New empirical algorithm development appears to be constrained, at least in part, due to the limited number of HAB-associated spectral features detectable in currently operational imagers. However, these algorithms provide a foundation for future algorithm development as new sensors, technologies, and platforms emerge.
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