Academic literature on the topic 'Scanner mobile'

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Journal articles on the topic "Scanner mobile":

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Anshari, Muhammad, Mitra istiar Wardhana, and Dhara Alim Cendekia. "Visual Login Fingerprints Scanner Aplikasi Mobile Banking (BRImo, Jenius, BNI Mobile Banking) berdasarkan Model Kait Nir Eyal." JoLLA: Journal of Language, Literature, and Arts 3, no. 8 (August 31, 2023): 1198–216. http://dx.doi.org/10.17977/um064v3i82023p1198-1216.

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Fitur fingerprint scanner cenderung lebih sering digunaakan secara repetitif untuk login pada aplikasi perbankan karena dianggap lebih cepat dan mudah. Anggapan ini juga terlihat dari sedikit­nya usaha kognitif pada proses pencarian tombol fingerprint scanner. Tombol fingerprint scanner aplikasi BRImo, BNI Mobile Banking dan Jenius cenderung menjadi kontras serta halaman login di­desain untuk mengarahkan pengguna pada fitur tersebut. Berdasarkan kebiasaan repetitif peng­gunaan fingerprint scanner dan aspek visual yang mengarahkan pengguna ke fingerprint scanner penelitaia ini menggunakan model kait untuk menguraikan cara visual fitur tersebut berefek pada penggunaan yang repetitif ketika. Hasil dari penelitian ini menyebutkan bahawa aplikasi BRImo yang menggunakan kontras visual pada tombol fingerprint scanner yang juga secara implisit mem­berikan kontras secara fungsi pada tombol disekitarya bila ditinjau berdasarkan model kait bisa memicu pengguna untuk menekan tombol tersebut secara repetitif. Kata kunci: model Kait; aplikasi perbankan; fingerprint scanner Visual Login Fingerprints Scanner for Mobile Banking Applications (BRImo, Jenius, BNI Mobile Banking) based on the Kait Nir Eyal Model The fingerprint scanner feature tends to be used repeatedly to log in to banking applications because it is considered faster and easier. This assumption is also seen from the lack of cognitive effort in the process of searching for the fingerprint scanner button. The fingerprint scanner buttons for the BRImo, BNI Mobile Banking and Jenius applications tend to be in contrast and the login page is designed to direct users to these features. Based on the repetitive habit of using fingerprint scanners and the visual aspects that direct users to the fingerprint scanner, this study uses a hook model to describe how visually these features have an effect on repetitive use. The results of this study indicate that the BRImo application that uses visual contrast on the fingerprint scanner button which also implicitly provides functional contrast to the surrounding buttons when viewed based on the latch model can trigger the user to press the button repeatedly. Keywords: Kait model; internet banking; fingerprint scanner
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Mezian, c., Bruno Vallet, Bahman Soheilian, and Nicolas Paparoditis. "UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 331–35. http://dx.doi.org/10.5194/isprs-archives-xli-b3-331-2016.

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Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great interest but rarely investigated in the literature. In this paper we present a complete pipeline that takes into account all the sources of uncertainties and allows to compute a covariance matrix per 3D point. The sources of uncertainties are laser scanner, calibration of the scanner in relation to the vehicle and direct georeferencing system. We suppose that all the uncertainties follow the Gaussian law. The variances of the laser scanner measurements (two angles and one distance) are usually evaluated by the constructors. This is also the case for integrated direct georeferencing devices. Residuals of the calibration process were used to estimate the covariance matrix of the 6D transformation between scanner laser and the vehicle system. Knowing the variances of all sources of uncertainties, we applied uncertainty propagation technique to compute the variance-covariance matrix of every obtained 3D point. Such an uncertainty analysis enables to estimate the impact of different laser scanners and georeferencing devices on the quality of obtained 3D points. The obtained uncertainty values were illustrated using error ellipsoids on different datasets.
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Mezian, c., Bruno Vallet, Bahman Soheilian, and Nicolas Paparoditis. "UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 331–35. http://dx.doi.org/10.5194/isprsarchives-xli-b3-331-2016.

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Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great interest but rarely investigated in the literature. In this paper we present a complete pipeline that takes into account all the sources of uncertainties and allows to compute a covariance matrix per 3D point. The sources of uncertainties are laser scanner, calibration of the scanner in relation to the vehicle and direct georeferencing system. We suppose that all the uncertainties follow the Gaussian law. The variances of the laser scanner measurements (two angles and one distance) are usually evaluated by the constructors. This is also the case for integrated direct georeferencing devices. Residuals of the calibration process were used to estimate the covariance matrix of the 6D transformation between scanner laser and the vehicle system. Knowing the variances of all sources of uncertainties, we applied uncertainty propagation technique to compute the variance-covariance matrix of every obtained 3D point. Such an uncertainty analysis enables to estimate the impact of different laser scanners and georeferencing devices on the quality of obtained 3D points. The obtained uncertainty values were illustrated using error ellipsoids on different datasets.
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Jing, H., N. Slatcher, X. Meng, and G. Hunter. "MONITORING CAPABILITIES OF A MOBILE MAPPING SYSTEM BASED ON NAVIGATION QUALITIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 625–31. http://dx.doi.org/10.5194/isprs-archives-xli-b1-625-2016.

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Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling and mapping of the scanned environments. However, accurate mapping relies on not only the scanner’s performance but also on the quality of the navigation results (accuracy and robustness) . This paper discusses the potentials of using 3D mobile mapping systems for landscape change detection, that is traditionally carried out by terrestrial laser scanners that can be accurately geo-referenced at a static location to produce highly accurate dense point clouds. Yet compared to conventional surveying using terrestrial laser scanners, several advantages of mobile mapping systems can be identified. A large area can be monitored in a relatively short period, which enables high repeat frequency monitoring without having to set-up dedicated stations. However, current mobile mapping applications are limited by the quality of navigation results, especially in different environments. The change detection ability of mobile mapping systems is therefore significantly affected by the quality of the navigation results. This paper presents some data collected for the purpose of monitoring from a mobile platform. The datasets are analysed to address current potentials and difficulties. The change detection results are also presented based on the collected dataset. Results indicate the potentials of change detection using a mobile mapping system and suggestions to enhance quality and robustness.
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Jing, H., N. Slatcher, X. Meng, and G. Hunter. "MONITORING CAPABILITIES OF A MOBILE MAPPING SYSTEM BASED ON NAVIGATION QUALITIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 625–31. http://dx.doi.org/10.5194/isprsarchives-xli-b1-625-2016.

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Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling and mapping of the scanned environments. However, accurate mapping relies on not only the scanner’s performance but also on the quality of the navigation results (accuracy and robustness) . This paper discusses the potentials of using 3D mobile mapping systems for landscape change detection, that is traditionally carried out by terrestrial laser scanners that can be accurately geo-referenced at a static location to produce highly accurate dense point clouds. Yet compared to conventional surveying using terrestrial laser scanners, several advantages of mobile mapping systems can be identified. A large area can be monitored in a relatively short period, which enables high repeat frequency monitoring without having to set-up dedicated stations. However, current mobile mapping applications are limited by the quality of navigation results, especially in different environments. The change detection ability of mobile mapping systems is therefore significantly affected by the quality of the navigation results. This paper presents some data collected for the purpose of monitoring from a mobile platform. The datasets are analysed to address current potentials and difficulties. The change detection results are also presented based on the collected dataset. Results indicate the potentials of change detection using a mobile mapping system and suggestions to enhance quality and robustness.
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Rahok, Sam Ann, Hirohisa Oneda, Akio Tanaka, and Koichi Ozaki. "A Robust NavigationMethod for Mobile Robots in Real-World Environments." Journal of Robotics and Mechatronics 26, no. 2 (April 20, 2014): 177–84. http://dx.doi.org/10.20965/jrm.2014.p0177.

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This paper describes a robust navigation method for real-world environments. The method uses a 3-axis magnetic sensor and a laser range scanner. The magnetic field that occurs in the environment is used as key landmarks in the proposed navigation method, and physical landmarks scanned by the laser range scanner are taken into account in compensating for the mobile robot’s lateral error. An evaluation experiment was conducted during the final run of the Real World Robot Challenge (RWRC) 2013, and the result showed that the mobile robot equipped with the proposed method robustly navigated a 1.6 km course.
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Lu, Yaoqing, Kangfu Liu, and Tao Wu. "Dual-Axis MEMS Resonant Scanner Using 128∘Y Lithium Niobate Thin-Film." Acoustics 4, no. 2 (April 1, 2022): 313–28. http://dx.doi.org/10.3390/acoustics4020019.

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The micro-electro-mechanical systems (MEMS) resonant scanners are in great demand for numerous light scanning applications. Recently, the development of LiDAR in micro-robotics and mobile devices has led to the requirement of ultra-small systems with low driving voltage, low power, compact size and high performance. We have first proposed the dual-axis MEMS scanner using the lithium niobate (LN) thin-film platform, which is expected to fulfill the requirement. This paper describes the actuation principle and scanner structure, meanwhile develops the analytical model for the scanner. The analytical model is later validated by the finite element analysis. The performance of the proposed scanner is improved with the optimization of the orientation of LN and layer thickness. The proposed scanner achieves the θopt·D·f up to 937.8∘·mm·kHz in simulation. The simulated optical angle in the x-axis and y-axis are 50∘ and 42∘ at 1 V, corresponding to resonant frequencies of 79.9 kHz and 558.2 kHz, respectively. With the superior performance of large deflection, high scanning frequency, high figure of merit and low voltage, the proposed MEMS scanner is a promising candidate for fast scanner applications (e.g., wavelength-selective switches and submicron biomedical system), especially the application of LiDAR in mobile devices or micro-robotics.
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Permana, Indra Surya, Taufik Hidayat, and Rahutomo Mahardiko. "MOBILE SCANNER ADOPTION ANALYSIS BETWEEN EMPLOYMENT AND EDUCATIONAL BACKGROUND – AN ANALYSIS OF LOGISTIC REGRESSION." TEKNOKOM 4, no. 2 (June 11, 2021): 37–42. http://dx.doi.org/10.31943/teknokom.v4i2.56.

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As of today, the mobile apps may be downloaded everywhere. The development of mobile apps depends on the type of the work. An increasing use of mobile app is scanner apps due to an easy use. This paper presents the regression analysis on employment and educational background of the mobile scanner app because this research used category in the questionnaire. The use of logistic regression is to prove that any different comparisons are detected between employment and educational background so that the use of mobile scanner can be optimally used. The results show that educational background and employment have vital roles for mobile scanner adoption. This study also proves that previous researches on mobile scanner adoption were true for UTAUT model and comparison analysis.
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Kaijaluoto, R., and A. Hyyppä. "PRECISE INDOOR LOCALIZATION FOR MOBILE LASER SCANNER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (May 11, 2015): 1–6. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-1-2015.

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Accurate 3D data is of high importance for indoor modeling for various applications in construction, engineering and cultural heritage documentation. For the lack of GNSS signals hampers use of kinematic platforms indoors, TLS is currently the most accurate and precise method for collecting such a data. Due to its static single view point data collection, excessive time and data redundancy are needed for integrity and coverage of data. However, localization methods with affordable scanners are used for solving mobile platform pose problem. The aim of this study was to investigate what level of trajectory accuracies can be achieved with high quality sensors and freely available state of the art planar SLAM algorithms, and how well this trajectory translates to a point cloud collected with a secondary scanner. <br><br> In this study high precision laser scanners were used with a novel way to combine the strengths of two SLAM algorithms into functional method for precise localization. We collected five datasets using Slammer platform with two laser scanners, and processed them with altogether 20 different parameter sets. The results were validated against TLS reference. The results show increasing scan frequency improves the trajectory, reaching 20 mm RMSE levels for the best performing parameter sets. Further analysis of the 3D point cloud showed good agreement with TLS reference with 17 mm positional RMSE. With precision scanners the obtained point cloud allows for high level of detail data for indoor modeling with accuracies close to TLS at best with vastly improved data collection efficiency.
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سامي حلواني، وسارودين كاري, سامي حلواني، وسارودين كاري. "Mobile ECG Scanner Using Smartphone." journal of king abdulaziz university computing and information technology sciences 1, no. 1 (January 3, 2012): 85–96. http://dx.doi.org/10.4197/comp.1-1.4.

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ECG (electrocardiogram) is a test to measure the electrical activity of the heart by applying electrical impulses. The information obtained from an ECG can be analyzed to discover different types of heart diseases. It is useful to monitor a patient’s respond to a specific treatment. Some patients may need to move around while still being monitored by an ECG. Hence, it is important to have a mobile ECG solution. Building a stable and reliable mobile ECG solution needs huge investment especially if all main components are built from scratch. This research proposes to build the mobile ECG solution using available main components from the shelf. Bluetooth is used instead of USB in order to provide future flexibility to add more electrodes. In order to reduce the size, development cost, and time, Smartphone is used as the host PC. Present Smartphone have sufficient resources to provide the necessary data logging, HMI and remote monitoring. Keywords: ECG, Smartphone, Bluetooth, HMI

Dissertations / Theses on the topic "Scanner mobile":

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Nalani, Hetti Arachchige. "Automatic Reconstruction of Urban Objects from Mobile Laser Scanner Data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-159872.

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Aktuelle 3D-Stadtmodelle werden immer wichtiger in verschiedenen städtischen Anwendungsbereichen. Im Moment dienen sie als Grundlage bei der Stadtplanung, virtuellem Tourismus und Navigationssystemen. Mittlerweile ist der Bedarf an 3D-Gebäudemodellen dramatisch gestiegen. Der Grund dafür sind hauptsächlich Navigationssysteme und Onlinedienste wie Google Earth. Die Mehrheit der Untersuchungen zur Rekonstruktion von Gebäudemodellen von Luftaufnahmen konzentriert sich ausschließlich auf Dachmodellierung. Jedoch treiben Anwendungen wie Virtuelle Realität und Navigationssysteme die Nachfrage nach detaillieren Gebäudemodellen, die nicht nur die geometrischen Aspekte sondern auch semantische Informationen beinhalten, stark an. Urbanisierung und Industrialisierung beeinflussen das Wachstum von urbaner Vegetation drastisch, welche als ein wesentlicher Teil des Lebensraums angesehen wird. Aus diesem Grund werden Aufgaben wie der Ökosystemüberwachung, der Verbesserung der Planung und des Managements von urbanen Regionen immer mehr Aufmerksamkeit geschenkt. Gleichermaßen hat die Erkennung und Modellierung von Bäumen im Stadtgebiet sowie die kontinuierliche Überprüfung ihrer Inventurparameter an Bedeutung gewonnen. Die steigende Nachfrage nach 3D-Gebäudemodellen, welche durch Fassadeninformation ergänzt wurden, und Informationen über einzelne Bäume im städtischen Raum erfordern effiziente Extraktions- und Rekonstruktionstechniken, die hochgradig automatisiert sind. In diesem Zusammenhang ist das Wissen über die geometrische Form jedes Objektteils ein wichtiger Aspekt. Heutzutage, wird das Mobile Laser Scanning (MLS) vermehrt eingesetzt um Objekte im städtischen Umfeld zu erfassen und es entwickelt sich zur Hauptquelle von Daten für die Modellierung von urbanen Objekten. Eine Vielzahl von Objekten wurde schon mit Daten von MLS rekonstruiert. Außerdem wurden bereits viele Methoden für die Verarbeitung von MLS-Daten mit dem Ziel urbane Objekte zu erkennen und zu rekonstruieren vorgeschlagen. Die 3D-Punkwolke einer städtischen Szene stellt eine große Menge von Messungen dar, die viele Objekte von verschiedener Größe umfasst, komplexe und unvollständige Strukturen sowie Löcher (Rauschen und Datenlücken) enthält und eine inhomogene Punktverteilung aufweist. Aus diesem Grund ist die Verarbeitung von MLS-Punktwolken im Hinblick auf die Extrahierung und Modellierung von wesentlichen und charakteristischen Fassadenstrukturen sowie Bäumen von großer Bedeutung. In der Arbeit werden zwei neue Methoden für die Rekonstruktion von Gebäudefassaden und die Extraktion von Bäumen aus MLS-Punktwolken vorgestellt, sowie ihre Anwendbarkeit in der städtischen Umgebung analysiert. Die erste Methode zielt auf die Rekonstruktion von Gebäudefassaden mit expliziter semantischer Information, wie beispielsweise Fenster, Türen, und Balkone. Die Rekonstruktion läuft vollautomatisch ab. Zu diesem Zweck werden einige Algorithmen vorgestellt, die auf dem Vorwissen über die geometrische Form und das Arrangement von Fassadenmerkmalen beruhen. Die initiale Klassifikation, mit welcher die Punkte in Objektpunkte und Bodenpunkte unterschieden werden, wird über eine lokale Höhenhistogrammanalyse zusammen mit einer planaren Region-Growing-Methode erzielt. Die Punkte, die als zugehörig zu Objekten klassifiziert werden, werden anschließend in Ebenen segmentiert, welche als Basiselemente der Merkmalserkennung angesehen werden können. Information über die Gebäudestruktur kann in Form von Regeln und Bedingungen erfasst werden, welche die wesentlichen Steuerelemente bei der Erkennung der Fassadenmerkmale und der Rekonstruktion des geometrischen Modells darstellen. Um Merkmale wie Fenster oder Türen zu erkennen, die sich an der Gebäudewand befinden, wurde eine löcherbasierte Methode implementiert. Einige Löcher, die durch Verdeckungen entstanden sind, können anschließend durch einen neuen regelbasierten Algorithmus eliminiert werden. Außenlinien der Merkmalsränder werden durch ein Polygon verbunden, welches das geometrische Modell repräsentiert, indem eine Methode angewendet wird, die auf geometrischen Primitiven basiert. Dabei werden die topologischen Relationen unter Beachtung des Vorwissens über die primitiven Formen analysiert. Mögliche Außenlinien können von den Kantenpunkten bestimmt werden, welche mit einer winkelbasierten Methode detektiert werden können. Wiederkehrende Muster und Ähnlichkeiten werden ausgenutzt um geometrische und topologische Ungenauigkeiten des rekonstruierten Modells zu korrigieren. Neben der Entwicklung des Schemas zur Rekonstruktion des 3D-Fassadenmodells, sind die Segmentierung einzelner Bäume und die Ableitung von Attributen der städtischen Bäume im Fokus der Untersuchung. Die zweite Methode zielt auf die Extraktion von individuellen Bäumen aus den Restpunktwolken. Vorwissen über Bäume, welches speziell auf urbane Regionen zugeschnitten ist, wird im Extraktionsprozess verwendet. Der formbasierte Ansatz zur Extraktion von Einzelbäumen besteht aus einer Reihe von Schritten. In jedem Schritt werden Objekte in Abhängigkeit ihrer geometrischen Merkmale gefunden. Stämme werden unter Ausnutzung der Hauptrichtung der Punktverteilung identifiziert. Dafür werden Punktsegmente gesucht, die einen Teil des Baumstamms repräsentieren. Das Ergebnis des Algorithmus sind segmentierte Bäume, welche genutzt werden können um genaue Informationen über die Größe und Position jedes einzelnen Baumes abzuleiten. Einige Beispiele der Ergebnisse werden in der Arbeit angeführt. Die Zuverlässigkeit der Algorithmen und der Methoden im Allgemeinen wurden unter Verwendung von drei Datensätzen, die mit verschiedenen Laserscannersystemen aufgenommen wurden, verifiziert. Die Untersuchung zeigt auch das Potential sowie die Einschränkungen der entwickelten Methoden wenn sie auf verschiedenen Datensätzen angewendet werden. Die Ergebnisse beider Methoden wurden quantitativ bewertet unter Verwendung einer Menge von Maßen, die die Qualität der Fassadenrekonstruktion und Baumextraktion betreffen wie Vollständigkeit und Genauigkeit. Die Genauigkeit der Fassadenrekonstruktion, der Baumstammdetektion, der Erfassung von Baumkronen, sowie ihre Einschränkungen werden diskutiert. Die Ergebnisse zeigen, dass MLS-Punktwolken geeignet sind um städtische Objekte detailreich zu dokumentieren und dass mit automatischen Rekonstruktionsmethoden genaue Messungen der wichtigsten Attribute der Objekte, wie Fensterhöhe und -breite, Flächen, Stammdurchmesser, Baumhöhe und Kronenfläche, erzielt werden können. Der gesamte Ansatz ist geeignet für die Rekonstruktion von Gebäudefassaden und für die korrekte Extraktion von Bäumen sowie ihre Unterscheidung zu anderen urbanen Objekten wie zum Beispiel Straßenschilder oder Leitpfosten. Aus diesem Grund sind die beiden Methoden angemessen um Daten von heterogener Qualität zu verarbeiten. Des Weiteren bieten sie flexible Frameworks für das viele Erweiterungen vorstellbar sind
Up-to-date 3D urban models are becoming increasingly important in various urban application areas, such as urban planning, virtual tourism, and navigation systems. Many of these applications often demand the modelling of 3D buildings, enriched with façade information, and also single trees among other urban objects. Nowadays, Mobile Laser Scanning (MLS) technique is being progressively used to capture objects in urban settings, thus becoming a leading data source for the modelling of these two urban objects. The 3D point clouds of urban scenes consist of large amounts of data representing numerous objects with significant size variability, complex and incomplete structures, and holes (noise and data gaps) or variable point densities. For this reason, novel strategies on processing of mobile laser scanning point clouds, in terms of the extraction and modelling of salient façade structures and trees, are of vital importance. The present study proposes two new methods for the reconstruction of building façades and the extraction of trees from MLS point clouds. The first method aims at the reconstruction of building façades with explicit semantic information such as windows, doors and balconies. It runs automatically during all processing steps. For this purpose, several algorithms are introduced based on the general knowledge on the geometric shape and structural arrangement of façade features. The initial classification has been performed using a local height histogram analysis together with a planar growing method, which allows for classifying points as object and ground points. The point cloud that has been labelled as object points is segmented into planar surfaces that could be regarded as the main entity in the feature recognition process. Knowledge of the building structure is used to define rules and constraints, which provide essential guidance for recognizing façade features and reconstructing their geometric models. In order to recognise features on a wall such as windows and doors, a hole-based method is implemented. Some holes that resulted from occlusion could subsequently be eliminated by means of a new rule-based algorithm. Boundary segments of a feature are connected into a polygon representing the geometric model by introducing a primitive shape based method, in which topological relations are analysed taking into account the prior knowledge about the primitive shapes. Possible outlines are determined from the edge points detected from the angle-based method. The repetitive patterns and similarities are exploited to rectify geometrical and topological inaccuracies of the reconstructed models. Apart from developing the 3D façade model reconstruction scheme, the research focuses on individual tree segmentation and derivation of attributes of urban trees. The second method aims at extracting individual trees from the remaining point clouds. Knowledge about trees specially pertaining to urban areas is used in the process of tree extraction. An innovative shape based approach is developed to transfer this knowledge to machine language. The usage of principal direction for identifying stems is introduced, which consists of searching point segments representing a tree stem. The output of the algorithm is, segmented individual trees that can be used to derive accurate information about the size and locations of each individual tree. The reliability of the two methods is verified against three different data sets obtained from different laser scanner systems. The results of both methods are quantitatively evaluated using a set of measures pertaining to the quality of the façade reconstruction and tree extraction. The performance of the developed algorithms referring to the façade reconstruction, tree stem detection and the delineation of individual tree crowns as well as their limitations are discussed. The results show that MLS point clouds are suited to document urban objects rich in details. From the obtained results, accurate measurements of the most important attributes relevant to the both objects (building façades and trees), such as window height and width, area, stem diameter, tree height, and crown area are obtained acceptably. The entire approach is suitable for the reconstruction of building façades and for the extracting trees correctly from other various urban objects, especially pole-like objects. Therefore, both methods are feasible to cope with data of heterogeneous quality. In addition, they provide flexible frameworks, from which many extensions can be envisioned
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Yasser, Almodhi. "Classifying Receipts and Invoices in Visma Mobile Scanner." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-49671.

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This paper presents a study on classifying receipts and invoices using Machine Learning. Furthermore, Naïve Bayes Algorithm and the advantages of using it will be discussed.  With information gathered from theory and previous research, I will show how to classify images into a receipt or an invoice. Also, it includes pre-processing images using a variety of pre-processing methods and text extraction using Optical Character Recognition (OCR). Moreover, the necessity of pre-processing images to reach a higher accuracy will be discussed. A result shows a comparison between Tesseract OCR engine and FineReader OCR engine. After embracing much knowledge from theory and discussion, the results showed that combining FineReader OCR engine and Machine Learning is increasing the accuracy of the image classification.
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Colaço, André Freitas. "Mobile terrestrial laser scanner for site-specific management in orange crop." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-23012017-151317/.

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Sensors based on LiDAR (Light Detection and Ranging) technology have the potential to provide accurate 3D models of the trees retrieving information such as canopy volume and height. This information can be used for diagnostics and prescriptions of fertilizers and plant protection products on a site-specific basis. This research aimed to investigate the use of LiDAR sensors in orange crops. Orange is one of the most important tree crop in Brazil. So far, research have developed and tested LiDAR based systems for several tree crops. However, usually individual trees or small field plots have been used. Therefore, several aspects related to data acquisition and processing must still be developed for large-scale application. The first study reported in this document (Chapter 3) aimed to develop and test a mobile terrestrial laser scanner (MTLS) and new data processing methods in order to obtain 3D models of large commercial orange groves and spatial information about canopy geometry. A 2D laser sensor and a RTK-GNSS receiver (Real Time Kinematics - Global Navigation Satellite System) were mounted on a vehicle. The data processing was based on generating a georeferenced point cloud, followed by the filtering, classification and surface reconstruction steps. A 25 ha commercial orange grove was used for field validation. The developed data acquisition and processing system was able to produce a reliable point cloud of the grove, providing high resolution canopy volume and height information. The choice of the type of point cloud classification (by individual trees or by transversal sections of the row) and the surface reconstruction algorithm is discussed in this study. The second study (Chapter 4) aimed to characterize the spatial variability of canopy geometry in commercial orange groves. Understanding such variability allows sensor-based variable rate application of inputs (i.e, applying proportional rates of inputs based on the variability of canopy size) to be considered as a suitable strategy to optimize the use of fertilizers and plant protection products. Five commercial orange groves were scanned with the developed MTLS system. According to the variability of canopy volume found in those groves, the input savings as a result of implementing sensor-based variable rate technologies were estimated in about 40%. The second goal of this study was to understand the relationship between canopy geometry and several other relevant attributes of the groves. The canopy volume and height maps of three groves were analyzed against historical yield maps, elevation, soil electrical conductivity, organic matter and clay content maps. The correlations found between canopy geometry and yield or soil maps varied from poor to strong correlations, depending on the grove. When classifying the groves into three classes according to canopy size, the yield performance and soil features inside each class was found to be significantly different, indicating that canopy geometry is a suitable variable to guide management zones delineation in one grove. Overall results from this research show the potential of MTLS systems and subsequent data analysis in orange crops indicating how canopy geometry information can be used in site-specific management practices.
Sensores baseados em tecnologia LiDAR (Light Detection and Ranging) têm o potencial de fornecer modelos tridimensionais de árvores, provendo informações como o volume e altura de copa. Essas informações podem ser utilizadas em diagnósticos e recomendações localizadas de fertilizantes e defensivos agrícolas. Este estudo teve como objetivo investigar o uso de sensores LiDAR na cultura da laranja, uma das principais culturas de porte arbóreo no Brasil. Diversas pesquisas têm desenvolvido sistemas LiDAR para culturas arbóreas. Porém, normalmente tais sistemas são empregados em plantas individuais ou em pequenas áreas. Dessa forma, diversos aspectos da aquisição e processamento de dados ainda devem ser desenvolvidos para viabilizar a aplicação em larga escala. O primeiro estudo deste documento (Capítulo 3) focou no desenvolvimento de um sistema LiDAR (Mobile Terrestrial Laser Scanner - MTLS) e nova metodologia de processamento de dados para obtenção de informações acerca da geometria das copas em pomares comerciais de laranja. Um sensor a laser e um receptor RTK-GNSS (Real Time Kinematics - Global Navigation Satellite System) foram instalados em um veículo para leituras em campo. O processamento de dados foi baseado na geração de uma nuvem de pontos, seguida dos passos de filtragem, classificação e reconstrução da superfície das copas. Um pomar comercial de laranja de 25 ha foi utilizado para a validação. O sistema de aquisição e processamento de dados foi capaz de produzir uma nuvem de pontos representativa do pomar, fornecendo informação sobre geometria das plantas em alta resolução. A escolha sobre o tipo de classificação da nuvem de pontos (em plantas individuais ou em seções transversais das fileiras) e sobre o algoritmo de reconstrução de superfície, foi discutida nesse estudo. O segundo estudo (Capítulo 4) buscou caracterizar a variabilidade espacial da geometria de copa em pomares comerciais. Entender tal variabilidade permite avaliar se a aplicação em taxas variáveis de insumos baseada em sensores LiDAR (aplicar quantias de insumos proporcionais ao tamanho das copas) é uma estratégia adequada para otimizar o uso de insumos. Cinco pomares comerciais foram avaliados com o sistema MTLS. De acordo com a variabilidade encontrada, a economia de insumos pelo uso da taxa variável foi estimada em aproximadamente 40%. O segundo objetivo desse estudo foi avaliar a relação entre a geometria de copa e diversos outros parâmetros dos pomares. Os mapas de volume e altura de copa foram comparados aos mapas de produtividade, elevação, condutividade elétrica do solo, matéria orgânica e textura do solo. As correlações entre geometria de copa e produtividade ou fatores de solo variaram de fraca até forte, dependendo do pomar. Quando os pomares foram divididos entre três classes com diferentes tamanhos de copas, o desempenho em produtividade e as características do solo foram distintas entre as três zonas, indicando que parâmetros de geometria de copa são variáveis úteis para a delimitação de unidades de gestão diferenciada em um pomar. Os resultados gerais desta pesquisa mostraram o potencial de sistemas MTLS para pomares de laranja, indicando como a geometria de copa pode ser utilizada na gestão localizada de pomares de laranja.
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Halim, Humam. "Evaluation of a Near Field Scanner For Active Measurements of Mobile Phones." Thesis, University of Gävle, Department of Technology and Built Environment, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-3469.

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    The radio performance measurements of terminal antennas require expensive investments and they are often performed in anechoic chambers. Now a days measurement techniques using wheeler cap, reverberation chamber, etc have become popular. But these methods are used for measurements either during the design or production or in-network testing phases but not for all. Hence EMSCAN, a Canadian company, has come up with a device called Lab express near field scanner to counter this problem.

 

In this thesis an attempt is made to study the EMSCAN near field scanner by looking into architecture and design aspects of this device. Moreover, the capability of the device to measure the radio performance of the terminal antennas in terms of radiation pattern and total radiated power (TRP) is also studied and anlaysed.The analysis of the TRP and radiation pattern measurements of the terminal antennas is done by comparing the EMSCAN measurement results of 10 commercially available mobile phones with that of CTIA approved Satimo SG24 chamber.

 

The TRP and radiation pattern measurements are done for GSM 900 MHz and DCS 1800 MHZ low bands i.e.975 and 512 respectively. Furthermore, the dependency of the measured TRP on the positioning of the mobile phone on EMSCAN is tested by measuring the TRP and the radiated power of a single mobile phone.

 

The measurement results after comparison suggest that there is a correlation of around 79% at 1800 MHz and 49% at GSM 900 MHz among the two methods. This leads to the conclusion that EMSCAN scanner cannot replace the anechoic chambers for estimating the radio performance of terminal antennas. The results obtained by measuring the mobile phone in 8 different positions suggest that there is no significant difference in the TRP measured. There is a difference of 1.25dB was observed between the maximum and minimum TRP measured in two different positions on the near field scanner.

 

The results obtained by both the methods are verified by computing the TRP and radiation pattern in Matlab.The Matlab results agrees more with the EMSCAN results than Satimo SG 24 chamber results.

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Caliri, Claudia. "A mobile xrf scanner for a real-time elemental imaging of painted artworks." Doctoral thesis, Università di Catania, 2017. http://hdl.handle.net/10761/3771.

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Painted artworks are complex multi-layered materials studied over the time with several sophisticated imaging techniques. Scanning MA-XRF technique provides information on pigment materials and their distribution over the painted surface in non-invasive manner. Further, it provides information on conservation state of artworks and also their authenticity can be approached. The penetrating nature of X-rays allows visualizing overpainted hidden pictorial compositions, not visible to naked eye. In the present PhD activity an advanced XRF scanning system for a real time imaging of painted artworks has been developed at the LANDIS laboratory of LNS-INFN and IBAM-CNR in Catania (Italy).The MA-XRF scanner presents a modular set-up to be assembled/disassembled in a short time (30-60 min) and easily moved in museums for analyses in situ. Spectrometric head is moved by three linear stages covering an area up to 110 × 70 × 20 cm3 (XYZ) . All motion sensors and their synchronization with the acquisition system are fully controlled by a custom developed and programmed Control Unit (CU) and all instrument operations can be in real-time monitored by a graphical user interface (GUI). The CU controls also the Z-axis movement, along the focal distance, via the communication with a laser triangulation sensor maintaining dynamically constant the painting-spectrometer distance in case of non-flat sample surface. Further, the CU interrupts immediately the scan if the safety distance is overcame. SDD detector coupled to a Digital X-ray Processors (DXP) that works in a time-list event mode (TLIST) allows to perform scans in real time (or in continuous mode). Ultra-fast scans can be performed up to 100 mm/sec covering the total area in 4.2 hours. The MA-XRF device is aimed to the macroscopic analysis of large size paintings. However, the use of a polycapillary lens equipping the X-ray source, allows to combine imaging at both the macro and micro scale of length with a simple adjustment of the sample position along the focal distance obtaining a lateral resolution up to 35 µm. A long range optical microscope is used for the accurate positioning of the painting. To date, performances of this device in terms of lateral resolution, scanning speed and dimensions of the scanning area, makes it as one of the most (or even the most) efficient portable MA-XRF systems available in the scientific community for studying paintings. X-ray spectra are processed in real-time during the scanning by the non-linear least-squares fitting procedure developed in PyMCa and integrated in the in-house programmed analysis software with a maximum processing speed of 5000 fitted spectra per second. Further a number of editing and mathematical tools for processing the images in live-mode are available. During the present research activity, the scanner was validated by studying three painted artworks on different support (canvas, wood and paper) and different size, for which the instrument has been moved in situ. MA-XRF provided valuable information through the determination of the pigment palette on painting techniques and artist connections with other workshops, the degradation state of the paintings, the reconstruction of the creative process by revealing overpainted figure and hidden inscriptions as well by the identification of changes introduced during the creation of the work. Analytical results obtained by MA-XRF analysis of the Paston Treasure , a mid-1670s oil on canvas painting at the Norwich Castle Museum (UK); painted wooden coffers belonging to the funerary collection of the tomb of Kha and Merit (1549-1292 BC) at the Museo Egizio in Torino (Italy); and an Italian illuminated manuscripts manufactured in the 14th century at the Fitzwilliam Museums (Cambridge) are presented and discussed.
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Watanabe, Masao. "Performance Evaluation of a Newly Developed MR-Compatible Mobile PET Scanner with Two Detector Layouts." Kyoto University, 2020. http://hdl.handle.net/2433/253141.

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Alshawa, Majd. "Contribution à la cartographie mobile : développement et caractérisation d’un système basé sur un scanner laser terrestre." Strasbourg, 2009. https://publication-theses.unistra.fr/public/theses_doctorat/2010/ALSHAWA_Majd_2010.pdf.

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La cartographie mobile est un sujet qui se démocratise et gagne en maturité avec la demande croissante des données tridimensionnelles urbaines et périurbaines. La présente thèse aborde la conception d’un système de cartographie mobile terrestre à faible coût avec la particularité d’avoir adapté un scanner laser terrestre pour une utilisation en mode mobile à faible vitesse. Notre objectif n’est pas de rivaliser en termes de performances avec les systèmes commerciaux mais plutôt de s’approprier les compétences scientifiques et technologiques qui permettront de proposer des solutions dans le domaine de cartographie mobile. Les opérations préalables à la mise en route du système, tel que la synchronisation et l’étalonnage sont exposées. Puis, des méthodes basées sur l’ajustement des modèles polynomiaux sont développées pour convenir aux différents trajets parcourus. Les données issues des différents capteurs (GPS/AHRS/TLS) sont testées et filtrées avant de les intégrer dans l’équation de géoréférencement direct. Il en résulte un nuage de points corrigé. Une étude exhaustive sur l’effet des erreurs de chaque capteur sur le nuage de points résultant est établie. La précision théorique est confrontée avec des jeux des données de référence pour valider l’analyse des erreurs. Un appareil photo numérique calibré est intégré dans notre système en tant que capteur de navigation. Une solution photogrammétrique est proposée pour améliorer la précision de la trajectométrie préalablement calculée par l’intégration des données GPS/AHRS. Pour conclure la thèse, une ouverture vers la modélisation géométrique est proposée pour exploiter la géométrie et la précision des données laser terrestres fournies par le système. Le prototype développé permet de fournir des nuages de points d’une précision de l’ordre de 10 à 15cm à une distance moyenne de 20 m
Mobile mapping technology has been developing with the growing demand of three-dimensional urban and peri-urban data. This thesis approach is based on the design of a low cost terrestrial mobile mapping system with the adaptation of a Terrestrial Laser Scanner for low dynamics. Our goal is not to compete in performance with commercial systems but rather to appropriate scientific and technological skills which will help in proposing solutions in the field of mobile mapping. Necessary operational settings, such as synchronization and calibration are explained. Then, some methods based on the adjustment of polynomial models are developed according to the traveled paths. Data from various sensors (GPS/ AHRS/TLS) are filtered and tested before their integration by direct georeferencing equation in order to produce a correct point cloud. A comprehensive study on the influence of errors of each sensor on the resulting point cloud is established. The theoretical precision is compared with reference data in order to validate the error analyze. A digital calibrated camera is integrated in the system as a navigation sensor. A photogrammetric solution is proposed to improve the accuracy of the orientation and the position calculated by integrating GPS/ AHRS. At the end of this thesis, an approach towards automatic modeling is proposed to make use of the geometry and precision provided by the system. The designed prototype supplies point clouds whose precision is about 10 to15 cm at the average distance of 20 m
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Ryusuke, Nakamoto. "Comparison of PET/CT with sequential PET/MRI using an MR-compatible mobile PET system." Kyoto University, 2018. http://hdl.handle.net/2433/232099.

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Rascão, Madalena da Silva Ruivo Coreixas. "Aquisição de dados LiDAR com TLS e HMLS para deteção de árvores individuais." Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/21291.

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Mestrado em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de Lisboa
LiDAR (Light Detection And Ranging) é um sistema baseado nos princípios de Deteção Remota que permite medir distâncias com base no tempo da trajetória da radiação laser, desde que é emitida pelo aparelho até que retorna ao recetor depois de ser refletida numa superfície sólida. A aplicabilidade deste sistema é abrangente a várias áreas da engenharia e prende-se com a capacidade que o mesmo tem de recolher e armazenar dados tridimensionais em forma de nuvens de pontos de qualquer objeto sólido sobre a superfície terrestre. No sector florestal, este sistema permite estimar características dos povoamentos e digitalizar uma extensa área de floresta, de uma forma automatizada, rápida e com detalhe na ordem dos milímetros. O objetivo do presente trabalho é avaliar a capacidade do sistema LiDAR na individualização da árvore comparando as coordenadas estimadas obtidas com dois métodos LiDAR - HMLS (Held-Hand Mobile Laser Scanner) e TLS (Terrestrial Taser Scanner) - com as coordenadas obtidas com GPS sub-métrico, pelo método tradicional de campo, num ensaio clonal de Eucalyptus globulus Labill. com 10 anos de idade. O presente estudo serviu também como primeira abordagem ao desempenho dos dois métodos LiDAR na obtenção de diâmetros às várias alturas do tronco, recorrendo aos algoritmos disponíveis no software R. Para a deteção das árvores individuais, os resultados demonstraram que, em média, o método TLS detetou 65,1% das árvores, enquanto o método HMLS detetou 44,7% das árvores, para todas as parcelas de estudo. Comprovou-se ainda que o levantamento com HMLS só é vantajoso para terrenos regulares e percursos retos. Concluiu-se que deve ser efetuada uma melhoria nos processos associados à utilização do algoritmo SLAM (Simultaneous Localization And Mapping) e salientou-se a importância de utilizar pontos de referência em campo para a obtenção de nuvens de pontos de melhor qualidade
N/A
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Mulè, Leonardo. "Low-cost survey solutions to support HBIM - Two case studies: the Azurém Canteen and Paço dos Duques in Portugal." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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Heritage Building Information Modelling is strongly connected with the need for accurate surveys, both because BIM models are not usually available and because of the historical buildings’ peculiarity. But acquiring those data demands the involvement of additional costly stakeholders, and that limits the widespread use of LiDAR technologies. New smart devices supplied with this technology may allow customers to acquire point clouds with a different approach, giving us more and more possibilities of easily acquiring a point cloud, possibly omitting the use of expensive equipment and the stakeholders (the surveyors) involved in their use; for example, the latest hardware installed by Apple on their devices come equipped with a LiDAR sensor and their patented True Depth algorithm, offering cheap alternatives in acquiring 3D scans. This thesis wants to deal with the comparison of different approaches of acquiring a point cloud, by exploring multiples possibilities and risks of using this new technology, starting from a review of the scientific literature on the subject, and then comparing the results of the different methodologies by using different point clouds realized by devices in three price range (namely a BLK2GO, a LEICA P20 laser scanner and an iPhone 12 PRO) using a series of buildings as case studies, focusing on heritage buildings. For this purpose, a series of scans will be analysed metrically and quantitatively, to understand their accuracy and recognize which level of accuracy (LOA) can be reached, and so understand which purpose this new low-priced technologies can be used for.

Books on the topic "Scanner mobile":

1

Kneitel, Tom. Tune in on telephone calls: Scanner & shortwave frequency directory. Commack, NY: CRB Research Books, 1988.

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Canadian Coordinating Office for Health Technology Assessment. A comparison of fixed and mobile CT and MRI scanners. Ottawa, Ont: The Office, 1995.

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Prelinger, Richard. Monitor America. Scanner Master Publishing Corporation, 1985.

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Book chapters on the topic "Scanner mobile":

1

Enesi, Indrit, and Blerina Zanaj. "Implementing Steganocryptography in Scanner and Angio-Scanner Medical Images." In Mobile Networks for Biometric Data Analysis, 109–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39700-9_9.

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Jensen, B., G. Ramel, and R. Siegwart. "Detecting Semi-static Objects with a Laser Scanner." In Autonome Mobile Systeme 2003, 21–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18986-9_3.

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Flores-Rodríguez, K. L., J. J. González-Barbosa, F. J. Ornelas-Rodríguez, J. B. Hurtado-Ramos, and P. A. Ramirez-Pedraza. "Road Signs Segmentation Through Mobile Laser Scanner and Imagery." In Advances in Computational Intelligence, 376–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60887-3_33.

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Phan, Anh Thu Thi, and Anh Vy Ngoc Huynh. "Automatic Extracting Road Edges from Mobile Laser Scanner Point Cloud." In Lecture Notes in Civil Engineering, 1624–32. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7434-4_175.

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Dhillon, Vandana, Amruta Pabarekar, and Sreedevi Nair. "Active Bandpass Filter Design to Attenuate Harmonic Distortions in MPI Scanner." In International Conference on Mobile Computing and Sustainable Informatics, 61–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49795-8_6.

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Jose, Jephin V., M. Sherin Eliyas, Sathish Kumar, and Angeline Benitta. "Smart Industrial Scanner for Implementation of Relevant Data Parsing from Prescriptions Using SSWF Algorithm." In Mobile Radio Communications and 5G Networks, 625–36. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7982-8_52.

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Mittal, Mamta, Gopi Battineni, Waqar Ahmad, Nitin Kumar, and Ravi Upreti. "Mathematical Scanner (M-Scan) Mobile Application for Solving Simple Math Equations." In Advances in Intelligent Systems and Computing, 345–53. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2597-8_29.

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Jose, Jephin V., Sherin Eliyas, Sathish Kumar, and Angeline Benitta. "Correction to: Smart Industrial Scanner for Implementation of Relevant Data Parsing from Prescriptions Using SSWF Algorithm." In Mobile Radio Communications and 5G Networks, C1. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7982-8_57.

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Liu, Tianyu, Ye Gu, Weihua Sheng, Yongqiang Li, and Yongsheng Ou. "Detection and Tracking of Moving Objects for Indoor Mobile Robots with a Low-Cost Laser Scanner." In Artificial Intelligence and Mobile Services – AIMS 2018, 243–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94361-9_19.

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Previtali, Mattia, Fabrizio Banfi, and Raffaella Brumana. "Handheld 3D Mobile Scanner (SLAM): Data Simulation and Acquisition for BIM Modelling." In R3 in Geomatics: Research, Results and Review, 256–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62800-0_20.

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Conference papers on the topic "Scanner mobile":

1

Jedwabny, Tomasz, Piotr Skrzypczynski, and Grzegorz Wiczynski. "Optical scanner for mobile robots." In Optoelectronic and Electronic Sensors II, edited by Zdzislaw Jankiewicz and Henryk Madura. SPIE, 1997. http://dx.doi.org/10.1117/12.266720.

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Althobaiti, Abdulrahman, Fadl Abdellatif, Ali Alrasheed, Hassane Trigui, Ahmed Alsaadi, and Sahejad Patel. "AR Gauge Scanner Mobile Application." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207441-ms.

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Abstract This paper showcases an innovative mobile application powered by IR4.0 technologies including augmented reality (AR) and artificial intelligence (AI). The purpose of this application is to enable digital transformation of analog gauges, digitize their measurements, automate historical data storage, visualize trends, and provide useful information about the gauge to the operator. Utilizing this application will replace the current practice of manual recording of readings in order to reduce human errors as well as promote operational efficiency. With this application, the operator simply points the mobile device's camera towards the gauge and the image is converted to a digital measurement using computer vision algorithms. The digitized readings are sent to a remote database for recordkeeping and data analytics. In order to identify which gauge is being scanned, which is necessary for proper recordkeeping, the application detects a unique QR-code tag attached to the gauge. Additionally, the application utilizes AR technology to overlay gauge specific information (such as gauge type, safe operating range, fluid type, etc.) along with the digitized reading. Visualization of historical readings is another feature in the application that assists the operator in trend monitoring and decision making. Preliminary tests for the prototype application were carried out in a laboratory environment to demonstrate the working principle of this application. Although the technology is in its early stages of development, it shows promising results in terms of accuracy and speed of the computer vision algorithms to detect and digitize the analog gauges. The historical data recorded by the application can also be accessed via the control room using a web interface, where information from various gauges can be retrieved and visualized for analysis and monitoring. Overall, the presented application integrates computer vision and augmented reality to provide an effective solution for digitizing analog gauges while promoting digital transformation efforts within the industry.
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Shrestha, Ashok, Truong Tran, Ramazan Aygun, and Marc Pusey. "Mobile Scanner for Protein Crystallization Plates." In 2018 IEEE International Symposium on Multimedia (ISM). IEEE, 2018. http://dx.doi.org/10.1109/ism.2018.000-5.

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Markom, Marni Azira, Abdul Hamid Adom, Erdy Sulino Mohd Muslim Tan, Shazmin Aniza Abdul Shukor, Norasmadi Abdul Rahim, and Ali Yeon Md Shakaff. "A mapping mobile robot using RP Lidar scanner." In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). IEEE, 2015. http://dx.doi.org/10.1109/iris.2015.7451592.

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Podsedkowski, L., J. Nowakowski, M. Idzikowski, and I. Visvary. "Online navigation of mobile robots using laser scanner." In Proceedings of the First Workshop on Robot Motion and Control. RoMoCo'99 (Cat. No.99EX353). IEEE, 1999. http://dx.doi.org/10.1109/romoco.1999.791082.

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Ryde, Julian. "An inexpensive 3D scanner for indoor mobile robots." In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354173.

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Sobreira, Heber, A. Paulo Moreira, Paulo Gomes Costa, and Jose Lima. "Robust Mobile Robot Localization Based on Security Laser Scanner." In 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2015. http://dx.doi.org/10.1109/icarsc.2015.28.

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Morita, Kakeru, Masafumi Hashimoto, and Kazuhiko Takahashi. "Point-Cloud Mapping and Merging Using Mobile Laser Scanner." In 2019 Third IEEE International Conference on Robotic Computing (IRC). IEEE, 2019. http://dx.doi.org/10.1109/irc.2019.00078.

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Ramm, Roland, Christian Bräuer-Burchardt, Peter Kühmstedt, and Gunther Notni. "High-resolution mobile optical 3D scanner with color mapping." In SPIE Optical Metrology, edited by Luca Pezzati and Piotr Targowski. SPIE, 2017. http://dx.doi.org/10.1117/12.2269964.

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Javadi, Bahman, Quoc Lap Trieu, Kenan M. Matawie, and Rodrigo N. Calheiros. "Smart Food Scanner System Based on Mobile Edge Computing." In 2020 IEEE International Conference on Cloud Engineering (IC2E). IEEE, 2020. http://dx.doi.org/10.1109/ic2e48712.2020.00009.

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Reports on the topic "Scanner mobile":

1

Palmer, Donald D., Wood Jr., and Nancy L. Mobile Automated Scanner System (MAUS). Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada366930.

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Zhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3895.

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We analyzed the main cloud services in the article. We also described the main contribution of mobile cloud technology to education. The article presents the author’s development from the field of mobile cloud education in higher mathematics. The design architecture of this application is described in detail: QR generator and scanner, authorization, sending tasks. Block diagrams and images are presented that clearly demonstrate the operation of the application. We showed an example of solving the integral from the section of integral calculus for higher mathematics and showed how to download the answer in the form of a QR code and find out whether it is correct or incorrect (this can be seen by the color on the smart phone screen). It is shown how this technology helps the teacher save time for checking assignments completed by students. This confirms its effectiveness. Such an application provides students and teachers with the ability to store and process data on a cloud computing platform.
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Pabón Méndez, Mónica Rocío, Silvia Andrea Tarazona Ariza, Alfredo Duarte Fletcher, and Nelly Johana Álvarez Idarraga. English Vowel Sounds: A Practical Guide for the EFL Classroom. Ediciones Universidad Cooperativa de Colombia, February 2023. http://dx.doi.org/10.16925/gcgp.78.

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This guide was created as a response to the needs of the English phonetics and phonology class of the undergraduate Teaching Program of the Faculty of Education at Universidad Cooperativa de Colombia, where the English language is approached in a more technical, professional, and theoretical way that implicitly leads to an active and meaningful practice in the classroom with simple exercises but challenging enough for the initial level of the students. The guide gives priority to the vowel sounds of English since they are different from those in the Students’ Spanish linguistic inventory, thus, each of the short and long sounds are explained with clear examples. Finally, the guide comes with a QR code that can be easily scanned from any mobile device to access the audios of the proposed exercises to be studied in class or independently by students.
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Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.

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The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.
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Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.

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Abstract:
The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.

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