Relevant bibliographies by topics / Google Wave

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Google Wave'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

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Journal articles on the topic "Google Wave"

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Aron, Jacob. "Google rides D-Wave." New Scientist 224, no. 2998 (2014): 10–11. http://dx.doi.org/10.1016/s0262-4079(14)62313-7.

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Donahue, Amy. "Google Wave: Have CTSI-Minded Institutions Caught It?" Evidence Based Library and Information Practice 5, no. 4 (2010): 70. http://dx.doi.org/10.18438/b8fw48.

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Background - Google Wave was touted as the next big communication tool—combining e-mail, social networking, and chat within a single “wave”—with the potential to create a new world for collaboration. Information professionals who are knowledgeable of this tool and its capabilities could become uniquely situated to use it, evaluate it, and teach it. This seemed especially true for those working within Clinical and Translational Science Award (CTSA)-minded institutions, given the promise of interdisciplinary collaboration between investigators and the potential for creating new authorship models. This case study on Google Wave users who are affiliated with CTSA-minded institutions, was designed for and presented at the Evidence-Based Scholarly Communication Conference held by the University of New Mexico Health Sciences Library and Information Center. It provides an early evidence based evaluation of Google Wave’s potential.
 
 Methods - Two “waves” were created. The first consisted of five survey questions designed to collect demographic data on the respondents’ roles, a general impression of Wave, the specific tools within Wave that might be useful, and potential collaborators with whom the respondents might use Wave. The second wave was a private, guided discussion on Wave’s collaboration potential. Individuals from CTSA-minded institutions were invited to participate with messages on Twitter, forums, blogs, and electronic mail lists, although there were difficulties reaching out to these institutions as a group. 
 
 Results - By the conclusion of the study, only a small number of people (n=11, with a viable n=9) had responded to the survey. Given this small result set, it made sense to group the responses by the respondents’ roles (CTSA staff and researchers, support staff, medical librarian, or general public) and to treat them as individual cases. Most of the respondents were librarians and support staff who felt that Wave might have potential for collaboration; there were no CTSA researcher respondents. For the second part of the study, the discussion wave, only one participant explicitly expressed interest in joining. All were invited to join, but there was no participation in the discussion wave at the conclusion of the study.
 
 Conclusions -The results of this study implied that Google Wave was not on the forefront of CTSA-minded institutions’ communication strategies. However, it was being used, and it did demonstrate new collaboration and authorship capabilities. Being generally aware of these capabilities may be useful to information professionals who seek to be current and informed regarding developing technology and to those interested in scholarly communication practices. In addition, the difficulties encountered during this case study in attempting to reach out to CTSA-minded institutions raised the question of how members currently communicate with each other as institutions and as individuals. There was a lesson learned in the usefulness of doing case-study research to evaluate new technologies; the cost in terms of time was relatively low, and knowledge about the technology itself was gained while establishing a base level of evidence to potentially build on in the future.
 
 Methods: Two “waves” were created. The first consisted of five survey questions designed to collect demographic data on the respondents’ roles, a general impression of Wave, the specific tools within Wave that might be useful, and who the respondents might use Wave to collaborate with. The second wave was a private, guided discussion on Wave’s collaboration potential. Individuals from CTSA-minded institutions were invited to participate from related public waves and by sending out calls for through Twitter, forums, blogs, and e-mail, although there were difficulties reaching out to these institutions as a group. 
 
 Results: By the conclusion of the study, only a small number of respondents (n=11, with a viable n=9) had taken the survey. Given this small result set, it made sense to group the responses by the respondents’ roles (CTSA staff/researchers, support staff, medical librarian, or general public) and treat them as individual cases. Most of the respondents were librarians and support staff who felt that Wave might have potential for collaboration; there were no CTSA researcher respondents. For the second part of the study, the discussion wave, only one participant explicitly expressed interest in joining. All were invited to join for the sake of numbers, but there was no participation in the discussion wave by the conclusion of the study.
 
 Conclusions: The results of this study implied that Google Wave was not on the forefront of CTSA-minded institutions’ communication strategies. However, it was being used and it did demonstrate new collaboration and authorship capabilities; being generally aware of these capabilities may be useful to information professionals who seek to stay on top of developing technology and to those interested in scholarly communication practices. In addition, the difficulties encountered during this case study in attempting to reach out to CTSA-minded institutions raised the question of how members currently communicate with each other as institutions and as individuals. There was a lesson learned in the usefulness of doing case-study research to evaluate new technologies; cost in terms of time is relatively low and knowledge can be gained of the technology itself while establishing a base level of evidence to potentially build on in the future.
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Sethi, Sidharth Kumar. "When google wave hits the pediatricians!" Indian Pediatrics 47, no. 5 (2010): 455. http://dx.doi.org/10.1007/s13312-010-0073-7.

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Kusmanto, Edi, and Muhammad Hasanudin. "Kehadiran Gelombang Soliter dan Transpor Sesaat Sedimen tersuspensi di Perairan Pantai Bengkulu Tengah." Oseanologi dan Limnologi di Indonesia 4, no. 3 (2019): 133. http://dx.doi.org/10.14203/oldi.2019.v4i3.262.

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<strong>Existence of Solitary Waves and Transient Suspended Sediment Transport in the Coastal Waters of Central Bengkulu. </strong>Coastal abrasion and suspended sediment transport driven by waves is occurring dreadfully in the coastal waters of Central Bengkulu. The abrasion tends to be accelerated by solitary waves during the southeast monsoon season. The primary data were obtained on 17-26 July 2014, while the secondary data derived from Google Maps imageries obtained on 17 June 2014, representing the southeast monsoon season. The primary data were collected by 1200 KHz Acoustic Doppler Current Profiler (ADCP) for water currents, a single beam Echosounder for depths, Garmin 276C GPS receiver for coordinate positions, RBR-TWR2050 (installed at at a fixed point at 102.2219 °E and 3.6916 °S and depth of 9 m) for height and wave periods, and a compass for the direction of wave propagation. The secondary data included Astrium satellite imageries compiled by Google Earth and displayed as Google Maps images on 17 June 2014. These images were used for identifying the appearance of wave groups and by using a feature in Google Earth, it showed that the estimated distance between wave packets hitting the coast accounted for 147 m. This study showed the existence of solitary waves with height and wave period of 1.02 m and 13.85 seconds respectively, while the wave length reached 147.7 m. The wave energy and wave energy flux were 1123.12 Jm<sup>-2</sup> and 12018.94 Jm<sup>-1</sup>s<sup>-1</sup>, calculated by using the cnoidal wave theory and solved by the KdV equation. These solitary waves have large destructive forces on unstable cliffs along the coasts. Derived from coastal abrasion processes and shown by the ADCP backscatter intensity with the highest of 146 dB, the suspended sediments were likely to be transported by water currents with an average speed of 25.99 cm s<sup>-1</sup> in the dominant direction to the south - southeast; and the sediments were deposited along the coast of Bengkulu City.
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Weis, Torben, and Arno Wacker. "Federating Websites with the Google Wave Protocol." IEEE Internet Computing 15, no. 3 (2011): 51–58. http://dx.doi.org/10.1109/mic.2011.28.

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Riley‐Huff, Debra A. "Using Google Wave and Docs for group collaboration." Library Hi Tech News 27, no. 4/5 (2010): 12–14. http://dx.doi.org/10.1108/07419051011083181.

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Ismawati, Ike, Nila Mutia, Nurhikmah Fitriani, and Salma Masturoh. "Pengembangan Media Pembelajaran Fisika Berbasis Web Menggunakan Google Sites Pada Materi Gelombang Bunyi." Schrodinger Jurnal Ilmiah Mahasiswa Pendidikan Fisika 2, no. 2 (2021): 140–46. http://dx.doi.org/10.30998/sch.v2i2.4348.

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Distance learning used in physics teaching and learning activities is indeed difficult to apply properly, this is caused by the many formulas and theories that must be explained well and in detail and the difficulty of explaining to students so that students are not able to understand concepts, materials and theories properly. good. Based on the background described previously, the purpose of this study is to test the feasibility of web-based physics learning media using google sites on sound wave material in helping students to learn easily and independently during distance learning. Learning media using Google sites aims to help students learn physics independently, especially in learning physics with sound wave material. In this study, research and development (R&D) methods were used. Website-based learning media developed using Google Sites on the subject of Sound Waves received an average validation score of 50.50% by media experts and 63.50% by material experts. Both the average score results by media experts and material experts are included in the "feasible" criteria to be used and tested for students, and can develop Google Sites and disseminate the results of Google Sites development.
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Ptolemy, Adam S. "Google Wave: A Potential New Tool for Collaborative Communications." Clinical Chemistry 55, no. 12 (2009): 2235. http://dx.doi.org/10.1373/clinchem.2009.136564.

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Aditiyas, Saffa Ellok, Dadan Rosana, Ika Pratiwi, et al. "Development of Google Sites Based E-books on Sound Wave Material with STEM-PBL Model to Improve Mathematical Literacy and Critical Thinking Skills." JIPF (Jurnal Ilmu Pendidikan Fisika) 10, no. 1 (2025): 104. https://doi.org/10.26737/jipf.v10i1.5889.

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This research aims to: 1) Produce a Google Sites-based e-book using STEM-PBL model on sound wave material based on improving students' mathematical literacy and critical thinking; 2) Understand the practicality of Google Sites-based e-books using STEM-PBL model to sound wave material based on increasing students' mathematical literacy and critical thinking; 3) To find out the effectiveness of Google Sites-based e-books using STEM-PBL model to sound wave material based on increasing students' literacy and critical thinking. This research used ADDIE development model and was conducted at SMA Negeri 5 Yogyakarta. The number of subjects in this research was 250 students for the empirical test, 36 students for the limited trial, and 108 students for the extensive trial. The research instrument consists of product assessment sheet, practicality questionnaire, mathematical literacy and critical thinking test. The results show that: 1) e-book media based on google sites with STEM-PBL model developed worthy to be used in high school physics learning in particular sound wave material with good category by expert validator; 2) e-Book media with Google sites based on STEM-PBL model developed practically used in learning with the practical category; 3) e-books media with google sites based on STEM-PBL model was effective to enhance mathematical literacy and critical thinking abilities.
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Ovadia, Steven. "The Viability of Google Wave as an Online Collaboration Tool." Behavioral & Social Sciences Librarian 29, no. 2 (2010): 158–61. http://dx.doi.org/10.1080/01639261003742256.

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Dissertations / Theses on the topic "Google Wave"

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Michlík, Pavel. "Možnosti technologie Google Wave." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-229339.

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The Master’s thesis explains API and features of Google Wave technology, which was designed for flexible real-time collaboration of defined participants. The project aim was description of Google Wave basic elements and creation of sample Wave extensions, demonstrating capabilities of the communication protocol. The first extension (robot) was developed using client libraries in Java. The second extension (gadget) shows another approach of Google Wave extensions, based on XML, HTML, CSS and JavaScript.
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Halvorsen, Espen Herseth. "Real-Time End-User Service Composition Using Google Wave." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11126.

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This thesis explores Wave, a brand new communication and collaboration platform, from the perspective of end user service composition. A description of the different frameworks that are available and a study of how these can be used to create components that can be easily integrated with the platform are provided. Several examples of how the platform can be used to simplify different use cases involving multiple users collaborating on a common goal are provided. A complete solution to collaboratively organize meetings is also developed using these tools, and a detailed explanation of how one creates the necessary Wave Gadgets using web technologies like HTML, CSS and JavaScript, and the necessary back-end Wave Robots using Java are provided.
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Кузіков, Борис Олегович, Борис Олегович Кузиков та Borys Olehovych Kuzikov. "Алгоритм функціонування google wave-робота для організації e-learning". Thesis, Видавництво СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/7278.

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Šimek, Petr. "Analýza dosahu signálu bezdrátových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363825.

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This master's thesis describes process of design and development of the system for calculating the coverage of wireless networks, it is implemented as a web portal and written in the Java programming language. The text of the thesis describes the work with the used platforms, a description of the ITU-R calculation method P.1812, which is used for calculation electric field strength and basic information about electromagnetic waves. The main function of the system is to calculate and display coverage of wireless networks and customer management information.
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Masetti, Masha. "Product Clustering e Machine Learning per il miglioramento dell'accuratezza della previsione della domanda: il caso Comer Industries S.p.A." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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I lunghi lead time della catena di fornitura cinese dell’azienda Comer Industries S.p.A la obbligano ad ordinare i materiali con sei mesi di anticipo, data in cui spesso i clienti non sono consapevoli dei quantitativi di materiale che necessiteranno. Al fine di rispondere ai clienti mantenendo l’alto livello di servizio garantito storicamente da Comer Industries, risulta essenziale ordinare il materiale basandosi sulle previsioni della domanda. Tuttavia, attualmente le previsioni non sono sufficientemente accurate. L’obiettivo di questa ricerca è individuare un possibile metodo per incrementare l’accuratezza delle previsioni della domanda. Potrebbe, al fine del miglioramento della forecast accuracy, incidere positivamente l’utilizzo dell’Intelligenza Artificiale? Per rispondere alla domanda di ricerca, si sono implementati l’algoritmo K-Means e l’algoritmo Gerarchico in Visual Basic Application al fine di dividere i prodotti in cluster sulla base dei componenti comuni. Successivamente, si sono analizzati gli andamenti della domanda. Implementando differenti algoritmi di Machine Learning su Google Colaboratory, si sono paragonate le accuratezze ottenute e si è individuato un algoritmo di previsione ottimale per ciascun profilo di domanda. Infine, con le previsioni effettuate, si è potuto identificare con il K-means un miglioramento dell’accuracy di circa il 54,62% rispetto all’accuratezza iniziale ed un risparmio del 47% dei costi per il mantenimento del safety stock, mentre con il Clustering Gerarchico si è rilevato un miglioramento dell’accuracy del 11,15% ed un risparmio del 45% dei costi attuali. Si è, pertanto, concluso che la clusterizzazione dei prodotti potrebbe apportare un contributo positivo all’accuratezza delle previsioni. Inoltre, si è osservato come il Machine Learning potrebbe costituire lo strumento ideale per individuare le soluzioni ottimali sia all’interno degli algoritmi di Clustering sia all’interno dei metodi previsionali.
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Books on the topic "Google Wave"

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Ferraté, Andrés. Getting started with Google Wave. O'Reilly, 2009.

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Adam, Pash, and 3ones (Firm), eds. The complete guide to Google Wave. [3ones, 2010.

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Library of Congress. Copyright Office. Mass digitization: Charting the way forward in the wake of Google books : an analysis of the Register of Copyrights. Library of Congress, U.S. Copyright Office, 2011.

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Grove, Jennifer Van, and Tom Horton. Google Wave für Dummies. Wiley & Sons, Incorporated, John, 2020.

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Ferrate, Andres. Getting Started with Google Wave. O'Reilly Media, Incorporated, 2009.

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Ferrate, Andres. Google Wave: Up and Running. O'Reilly Media, Incorporated, 2010.

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Ferrate, Andres. Getting Started with Google Wave. O'Reilly Media, Incorporated, 2009.

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Holzner, Steve. Sams Teach Yourself Google Wave in 10 Minutes. Pearson Education, Limited, 2025.

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Google Wave : up and Running: Up and Running. O'Reilly Media, Incorporated, 2010.

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Gilich, Waldemar. Die Konvergenz Von E-Mail, Web und Sozialen Netzwerken Am Beispiel Von Google Wave. GRIN Verlag GmbH, 2010.

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Book chapters on the topic "Google Wave"

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Goderbauer, Michael, Markus Goetz, Alexander Grosskopf, Andreas Meyer, and Mathias Weske. "Syncro - Concurrent Editing Library for Google Wave." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13911-6_40.

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Hernández-Hamón, Hernando, Paula A. Zapata-Ramírez, Rafael E. Vásquez, Carlos A. Zuluaga, Juan David Santana Mejía, and Marcela Cano. "Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia." In Disaster Risk Reduction. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6663-5_4.

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AbstractThis study assesses Hurricane Iota’s impact on Providencia island’s reef environments, using Google Earth Engine, Satellite Derived Bathymetry, and machine learning to calculate a supervised classification process to delineate six geomorphic reef units. Results reveal dynamic changes, including erosion in the Lagoon unit (4.47% pre-Iota, 2.27% post-Iota), loss on the Back Reef (38.14%), and Rock Terrace (6.15%). Reef Ridge showed minimal change, acting as an effective wave barrier. Back Reef and the deep Rock Terrace experienced significant erosion (−3 to −14 m) to the northeast, with sedimentary dynamics observed in deeper units (up to 22 m). The high thematic accuracies found (Kappa 99%) illustrate the effectiveness of the assessment to (i) map the reef rapidly, (ii) provide tools for long-term monitoring of changes over time and (iii) improve management strategies and decision-making.
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Winseck, Dwayne. "The Broken Internet and Platform Regulation: Promises and Perils." In Palgrave Global Media Policy and Business. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95220-4_12.

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AbstractA relatively small number of global Internet giants—Google, Apple, Facebook, Amazon, Microsoft, and Netflix—have come under intense and ongoing fire for precipitating a twin crisis of journalism and the media, destroying democracy, and centralizing control over the Internet. In response, a new wave of Internet regulation is now in the making in one country after another. This chapter agrees that a forceful response to the platforms is overdue but raises concerns that the case against GAFAM + has become orthodoxy, anchored in cherry-picked evidence and a tendency to see these firms as the cause of all perceived woes. I also argue that while attempts to regulate digital platforms by the standards of broadcasting regulation may be politically expedient, this approach rests on superficial analogies. It also ignores the fact that the media industries have developed in close proximity to the vastly larger telecoms, consumer electronics and banking firms since the mid-nineteenth century. The last sections of this chapter offer four principles of structural and behavioural regulation drawn from this history as guides for a new generation of internet regulation today: structural separation (break-ups), line of business restrictions (firewalls), public obligations and public alternatives.
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Gibbons, John, and Miriam Akoto. "Chapter 9. Use of digital technologies for collaborative writing." In Language Learning & Language Teaching. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/lllt.59.09gib.

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This chapter provides a brief overview of current technologies for collaborative writing. We begin by sharing the distinctive features of three commonly used platforms in computer-mediated collaborative writing (i.e., Google Docs, wikis, and Etherpad) which have been found to offer L2 learners a safe space to freely work (Ware & Warschauer, 2006) and promote co-authorship and collaboration (Li & Storch, 2017). Next, in line with the increasing implementation of digital multimodal writing tasks, we present another set of multimedia tools (i.e., Canva infographics and Plot storyboards) which allow L2 users to incorporate multimodal publishing and collaboration during L2 writing practices (Krauss, 2012; Maamuujav et. al., 2019). We conclude with pedagogical recommendations for instructors who intend to use any of these tools.
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Panarello, Demetrio, and Giorgio Tassinari. "Measuring the effectiveness of COVID-19 containment policies in Italian regions: are we doing enough?" In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.15.

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A successful fight against COVID-19 greatly depends on citizens’ adherence to the restrictive measures, which may not suffice alone. Making use of a containment index, data on sanctions, and Google’s movement trends across Italian regions, complemented by other sources, we investigate the extent to which compliance with the mobility limitations has affected the number of deaths over time in the period from the 24th of February 2020 to the 9th of November 2020, by using panel data for Italian regions, analysed through a negative binomial regression method. We also differentiated the study period, estimating two distinct models on two subsamples: until the 13th of September and since the 14th of September. In so doing, we show how the pandemic dynamics have changed between the first and the second wave of the emergency. Our results highlight that the importance of the restrictive measures and of citizens’ accord on their abidance has greatly increased since the end of the summer, also because the stringency level of the adopted measures has critically declined. Informing citizens about the effects and purposes of the restrictive measures is of paramount importance, especially in the current phase of the pandemic.
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Murguía, Salvador Jiménez. "CHAPTER 18. Google Wave." In Epic Fails. Rowman & Littlefield Publishers, 2018. http://dx.doi.org/10.5771/9781538103722-124.

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McNely, Brian J. "Visualizing Knowledge Work with Google Wave." In Designing Web-Based Applications for 21st Century Writing Classrooms. Baywood Publishing Company, Inc., 2013. http://dx.doi.org/10.2190/dwb1c6.

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Jones, Linda. "Interaction in Google Wave Sends Chat Rooms Out with the Tide." In Cross-Cultural Interaction. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4979-8.ch036.

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This chapter focuses on Google Wave, a new, emerging world-wide technology by Google that supports both synchronous and asynchronous communication. Research on this technology took place during two sessions of an advanced second language (L2) technology course whereby synchronous conversations in Google Wave were compared to synchronous conversations in Blackboard chat rooms. Students experienced both forms of technology while discussing cross-cultural and pedagogical discussions relevant to L2 learning. Structural comparisons in terms of message length, message turns, numbers of words, and clarification revealed that students were more patient and wrote lengthier, more complex posts when conversing in Google Wave as compared to the chat room. Students’ impressions further confirmed their awareness of writing and reflecting more within Google Wave. These results suggest that Google Wave will support flexible, innovative learning and will provide researchers with multiple opportunities for expanding our understanding of students’ interactions in synchronous environments.
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Shettigar, Jagadish, and Pooja Misra. "Economic Impact of the Second Wave." In Resurgent India. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192866486.003.0009.

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Abstract With the second wave of the Coronavirus pushing India into a humanitarian and economic crisis, analysts and rating agencies were forced to revise the forecasted GDP growth numbers downwards for FY 2021– 22. The unprecedented rise in COVID- 19 cases had led to the country facing a severe shortage of medical oxygen, life-saving medicines and drugs. With urban India’s healthcare facilities collapsing under the sheer weight of increasing virus numbers, rural India’s threadbare healthcare system stood stressed. High-frequency indicators such as the Google mobility report, decreasing auto sales, and rising unemployment levels were seen to be in red. The chapter analyses the economic impact of the second wave. Interestingly, the second wave was more in terms of a demand shock rather than supply. Weak consumer sentiments amongst the affluent class and the spread of infection in rural India were some of the economic costs of the second wave of the virus.
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Deepalakshmi, R., R. Vijayalakshmi, S. Lavanya, T. K. Rakshitha Rasmi, and S. B. Sathiya. "Real Time Tracing and Alerting System for Vehicles and Children to Ensure Safety and Security Using Labview." In Recent Trends in Intensive Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210177.

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The Absolute time monitoring, detecting and Alerting System for vehicles and children is required to trace and transmit the collected information at regular intervals to ensure safety and security of children. The illustration of the Realtime detecting and warning System consists of two units: Tracing Unit that traces the location information, transfers to the monitoring area, records the data in the database and takes the help of these data to locate the exact point of area of the vehicle with Google/other maps. The second unit is Alerting Unit that tracks the students using active Radio Frequency Identification Devices (RFID)which will be placed on student ID card. radio-wave trans-receiver transmits a common radio wave which is received by the RFID in the ID card. This radio-wave is modified by the RFID’s coil and resent to the receive RFID tags are also used for attendance which is updated directly to the database and displays the other student information.
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Conference papers on the topic "Google Wave"

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Mohit, C., Xiaotao Wu, and Venkatesh Krishnaswamy. "Integrating Enterprise Communications into Google Wave." In 2010 7th IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2010. http://dx.doi.org/10.1109/ccnc.2010.5421674.

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Yueliang Zhou, Jingbo Zhen, and Lian Guo. "Google Wave and its application in education." In 2010 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccit.2010.5711181.

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Kaewkitipong, Laddawan. "Diffusion of an Online Collaboration Tool: The Case of Google Wave Adoption Failure." In 2012 45th Hawaii International Conference on System Sciences (HICSS). IEEE, 2012. http://dx.doi.org/10.1109/hicss.2012.215.

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Waldmann, Bethany A., and Devon J. Lehman. "Integrating the google wave platform with eclipse for collaborative, real-time code creation." In the 2010 ACM conference. ACM Press, 2010. http://dx.doi.org/10.1145/1867651.1867671.

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Zhang, Ze-qi, Hai-tao Chen, and Zi-zhen Zhang. "Calculation of the HF Wave Propagation on Undulating Ground Based on Google Earth and Global Mapper Modeling." In 2019 IEEE International Conference on Computational Electromagnetics (ICCEM). IEEE, 2019. http://dx.doi.org/10.1109/compem.2019.8779101.

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Osborne, Alfred R. "Toward Quantum Algorithms for Simulating Nonlinear Ocean Surface Waves." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-105072.

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Abstract The focus of this paper is to address the structured development of numerical algorithms for water wave simulations which might execute on future quantum computers. To carry out this goal we address the feasibility of numerically simulating nonlinear wave equations in the quantum domain. Many researchers express the opinion that quantum computers may be available in the next 5 to 10 years. It therefore seems appropriate to begin preparation of the key ideas and mathematical structure that would support the development of quantum algorithms and the writing of an actual code on a hypothetical quantum computer, although the latter goal will be addressed in later papers. A number of efforts in the direction of quantum computation have already been made and some standardization of the notation has occurred. In particular Google, IBM and others have made some progress in this regard to hardware and a number of investigators have made progress with algorithms. The achievement of “quantum supremacy” has recently been advertised by Google. However, it goes without saying that considerable further progress needs to be made, particularly with regard to “quantum error correction.” We do not pursue the details of quantum computers here. Instead we study the construction of the possible quantum physics for nonlinear wave equations. The goal is to extend our understanding of the quantization of nonlinear wave equations. The problem of deep-water waves begins with the nonlinear Schroedinger (NLS) equation and its physical hierarchy: This includes the NLS, the Dysthe, the Trulsen-Dysthe, the Yan Li and the Zakharov equations. A full discussion of the quantization of some of these equations and their nearby integrable counterparts is beyond the scope of the present paper and will be presented at a later date. Here we study the simplest nonlinear, integrable wave equation, that found by Korteweg and deVries [1895]. The approach discussed herein extends the method of Heisenberg from nonlinear Hamiltonian ordinary differential equations (odes) to Hamiltonian nonlinear partial differential equations (pdes) by the development of the “matrix mechanics” appropriate for a particular nonlinear wave equation. I focus at first on the integrable Hamiltonian system for KdV and then extend this to a perturbed Hamiltonian system. The beauty of the approach is that a Hamiltonian nonlinear pde can be solved with quasiperiodic Fourier series [Osborne, 2023], an idea already used by Heisenberg for nonlinear odes in his book of 1930 [Heisenberg, 1930]. Indeed, it was his use of these Fourier series that led to matrix mechanics. This paper emphasizes the mathematical and physical structure of the quantum mechanics of the “classical integrable Hamiltonian equations” of water wave motion. We address a particular water wave equation, the Korteweg-deVries (KdV) equation, which we “quantize” using the method of Heisenberg [1930]. This leads to the “matrix mechanics” of the KdV equation: We thus find the fundamental equations of quantum mechanics which form the starting point for the development of a quantum algorithm for solving the KdV equation.
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HUACANI, Walquer, Nelson P. MEZA, Darío D. SANCHEZ, and Fernando HUANCA. "Land Use Mapping Using Machine Learning, Apurímac-Peru Region." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_17.

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The objective of the research is to develop a global land use / land cover map (LULC) of the Apurímac Region, from ESA Sentinel-2 images with a resolution of 10 m. to predict 10 soil type classes throughout the year in order to generate a representative snapshot of 2020. The methodology used in the analysis is the machine learning model, for the classification it was based on Artificial Intelligence (AI). For the processing, 6 bands of Sentinel-2 surface reflectance data were used: visible blue, green, red, near-infrared and two short-wave infrared bands, to create the final map, the model is run on multiple dates of images throughout the year on the Google Earth Engine (GEE) platform. The results of the study determine the total area is 2 111 415.29 ha, where the water represents 9 392.84 ha. (0.44%), on the other hand, snow/ice occupies 227.89 ha, representing 0.01%, while cultivated land occupies an area of 34 408.09 ha, (1.63%), bushes/shrubs occupy most of 1 740 486.69 ha, which represents 82.435% of the total area.
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Logiurato, Fabrizio, Beniamino Danese, Boonchoat Paosawatyanyong, and Pornrat Wattanakasiwich. "Physics of Waves with Google Earth." In INTERNATIONAL CONFERENCE ON PHYSICS EDUCATION: ICPE-2009. AIP, 2010. http://dx.doi.org/10.1063/1.3479871.

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S., Sree Shankar, Anoop Verma, and Rahul Rai. "Creating by Imagining: Use of Natural and Intuitive BCI in 3D CAD Modeling." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12276.

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Since its inception, computer aided 3D modeling has primarily relied on the Windows, Icons, Menus, Pointer (WIMP) user interface. WIMP has rarely been able to tap into the natural intuitiveness and imagination of the user which accompanies any design process. Brain-computer interface (BCI) is a novel modality that uses the brain signals of a user to enable natural and intuitive interaction with an external device. The BCI’s potential to become an important modality of natural interaction for 3D modeling is almost limitless and unexplored. In theory, using BCI one can create any 3D model by simply thinking about it. This paper presents a basic framework for using BCI as an interface for computer aided 3D modeling. This framework involves the task of recording and recognizing electroencephalogram (EEG) brain wave patterns and electromyogram (EMG) signals corresponding to facial movements. The recognized EEG/EMG brain signals and associated keystrokes are used to activate/control different commands of a CAD package. Eight sample CAD models are created using the Emotiv EEG head set based BCI interface and Google SketchUp and presented to demonstrate the efficacy of the developed system based on the framework. To further exhibit BCI’s usability, human factor studies have been carried out on subjects from different backgrounds. Based on preliminary results, it is concluded that EEG/EMG based BCI is suitable for computer aided 3D modeling purposes. Issues in signal acquisition, system flexibility, integration with other modalities, and data collection are also discussed.
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Felício, Soraia, Joana Hora, Marta Campos Ferreira, et al. "Characterizing soft modes’ traveling in urban areas though indicators and simulated scenarios." In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001122.

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Nowadays, online route planners for soft modes are provided by several platforms such as Google Maps, OpenStreetMap, Here, or Waze. Itineraries are usually built using Shortest Path Problem algorithms that minimize travel time or distance. In this work, we aim to identify and quantify the main features that influence itineraries’ choice by soft modes users in urban areas, able to support multi-objective routing, using simulated scenarios. We propose a set of 21 indicators, grouped into five dimensions: Safety-Security, Comfort, Air Quality, Accessibility, and Time-Distance. Another contribution of this work is the simulation of scenarios to study soft modes’ multi-objective routing within urban areas.
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Reports on the topic "Google Wave"

1

Seybold, Patricia. Google Wave. Patricia Seybold Group, 2009. http://dx.doi.org/10.1571/psgp06-11-09cc.

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Yang, Yanhui, Yun Luo, Jingwen Kang, Zhanbo Zhao, Changshui Weng, and Li Zhang. Efficacy and Safety of Extracorporeal shock wave therapy in Treatment of Hypertrophic Scars and Keloids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0023.

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Review question / Objective: The objective of this systematic review and meta-analysis of randomized controlled trials is to evaluate quantitatively the efficacy and safety of extracorporeal shockwave therapies (ESWT) combined comprehensive treatments on hypertrophic scars and keloids compared with comprehensive treatments alone and provide clinicians with an evidence base for their clinical decision making. Information sources: We will search all English and Chinese language articles indexed in PubMed, Medline, the Excerpta Medica database (Embase), Cochrane Central Register of Controlled Trials, the Cochrane Library, Physiotherapy Evidence Database(PEDro), Chinese biomedical literature service system(sinomed) before October 2021. In addition to these databases, Google Scholar and the lists of references will be used to carry out citation tracking of the selected studies for identifying any other eligible studies that could have been missed.
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