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Journal articles on the topic 'Multimodal technology'

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Author: Grafiati

Published: 10 December 2022

Last updated: 9 March 2023

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1

Xiong, Ao, Yuanzheng Tong, Shaoyong Guo, Yanru Wang, Sujie Shao, and Lin Mei. "An Optimal Allocation Method of Power Multimodal Network Resources Based on NSGA-II." Wireless Communications and Mobile Computing 2021 (October 26, 2021): 1–10. http://dx.doi.org/10.1155/2021/9632277.

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Basic services for power business were provided by the power multimodel network providers. However, because the power multimodal network is usually complex and changeable, the service of power business is often unstable. This problem can be solved by a suitable network resource optimization method. Therefore, how to design a network resource optimization method that seeks a compromise between multiple performance indicators that achieve the normal operation of power multimode networks is still extremely challenging. An optimal allocation method of power multimodal network resources based on NSGA-II was proposed by this paper. Firstly, the power multimodal network-resource model is established, and the problems existing in the resource optimization process are analyzed. Secondly, preprocessing technology and indirect coding technology are applied to NSGA-II, which solves the coding problem and convergence problem of the application of genetic algorithm to the optimization of network resource allocation. Finally, the simulation results show that, compared with the control algorithm, this method has further optimized the various indicators of the resource allocation of the power multimodal network, and the performance has been improved by more than 6%.

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Wang, Huansha, Ruiyang Huang, and Jianpeng Zhang. "Research Progress on Vision–Language Multimodal Pretraining Model Technology." Electronics 11, no. 21 (October 31, 2022): 3556. http://dx.doi.org/10.3390/electronics11213556.

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Because the pretraining model is not limited by the scale of data annotation and can learn general semantic information, it performs well in tasks related to natural language processing and computer vision. In recent years, more and more attention has been paid to research on the multimodal pretraining model. Many vision–language multimodal datasets and related models have been proposed one after another. In order to better summarize and analyze the development status and future trend of vision–language multimodal pretraining model technology, firstly this paper comprehensively combs the category system and related tasks of vision–language multimodal pretraining. Secondly, research progress on vision–language multimodal pretraining is summarized and analyzed from the two dimensions of image–language and video–language models. Finally, problems with and development trends in vision–language multimodal pretraining are discussed.

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3

Cho, Byungchul, and Jong-Man Park. "Technology Review on Multimodal Biometric Authentication." Journal of Korean Institute of Communications and Information Sciences 40, no. 1 (January 30, 2015): 132–41. http://dx.doi.org/10.7840/kics.2015.40.1.132.

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4

Hirose, Michitaka. "Development of Multimodal Human Interface Technology." IEEJ Transactions on Electronics, Information and Systems 129, no. 10 (2009): 1774–77. http://dx.doi.org/10.1541/ieejeiss.129.1774.

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5

Moura, H. "Discourse & Technology: Multimodal Discourse Analysis." IEEE Transactions on Professional Communication 48, no. 3 (September 2005): 329–31. http://dx.doi.org/10.1109/tpc.2005.853943.

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6

Beaudette, Kathy, Jiawen Li, Joseph Lamarre, Lucas Majeau, and Caroline Boudoux. "Double-Clad Fiber-Based Multifunctional Biosensors and Multimodal Bioimaging Systems: Technology and Applications." Biosensors 12, no. 2 (February 1, 2022): 90. http://dx.doi.org/10.3390/bios12020090.

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Optical fibers have been used to probe various tissue properties such as temperature, pH, absorption, and scattering. Combining different sensing and imaging modalities within a single fiber allows for increased sensitivity without compromising the compactness of an optical fiber probe. A double-clad fiber (DCF) can sustain concurrent propagation modes (single-mode, through its core, and multimode, through an inner cladding), making DCFs ideally suited for multimodal approaches. This study provides a technological review of how DCFs are used to combine multiple sensing functionalities and imaging modalities. Specifically, we discuss the working principles of DCF-based sensors and relevant instrumentation as well as fiber probe designs and functionalization schemes. Secondly, we review different applications using a DCF-based probe to perform multifunctional sensing and multimodal bioimaging.

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7

Wu, Dan. "College English Multimodal Teaching Based on Digital Information Technology." Computational Intelligence and Neuroscience 2022 (July 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/2911215.

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In the era of in-depth application of knowledge technology in the field of education, the teaching mode combining school English teaching and network data technology is widely used in school English education. Teaching resources have become electronic resources under the influence of digital information technology. However, English teaching often ignores all aspects of English ability, so there are still shortcomings in English teaching. The role of information technology makes a single English teaching text model unable to meet the needs of scholars. In recent years, multimodal events have enriched the expression of language input and output content, which is in line with the learning needs of current students. Therefore, under the premise of digital information technology, this paper constructs a multimodal English teaching model from the aspects of multimodal English teaching resources, multimodal English teaching activities, and multimodal English teaching analysis. It aims to mobilize the enthusiasm of scholars to learn English from various aspects and build a multimodal teaching mode of English for teachers supported by digital data technology. Therefore, the experiment shows that the multimodal teaching mode of college English based on digital information technology proposed in this paper will mobilize the enthusiasm of students to learn in a comprehensive way. It greatly improves students’ English performance, promotes the development of students’ autonomous learning ability and comprehensive language ability, and improves the quality of English teaching by 20%.

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Schnaider, Karoline, Limin Gu, and Oscar Rantatalo. "Understanding technology use through multimodal layers: a research review." International Journal of Information and Learning Technology 37, no. 5 (October 2, 2020): 375–87. http://dx.doi.org/10.1108/ijilt-02-2020-0020.

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PurposeThe purpose of this study is to examine the use of digital technologies by teachers and students in teaching and learning from a multimodal layer perspective.Design/methodology/approachThe article reviews 64 studies on technology use. A content analysis based on the theoretical concepts of “multimodal layers” was used to synthesise previous research.FindingsThe findings indicate that the use of technology in classroom practices by teachers and students is multifaceted and that transitions exist between technologies and sign-systems and are differently related to sign-making activities and thus constitute different uses. Between layers, traces can be made that connect the use of technology to differences in sign-making activities.Practical implicationsA multimodal layer perspective on technology use is fruitful to understand what happens at the intersection of technology and human activities in school practices. Moreover, more attention to multimodal layers can inform future effective technology usage and design.Originality/valueThe review offers comprehensive insights on how previous research has studied technology using multimodal layers as an analytical lens.

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9

Ping, Zou, and Yueyan Liu. "Classification and Visual Design Analysis of Network Expression Based on Big Data Multimodal Intelligence Technology." Discrete Dynamics in Nature and Society 2022 (April 20, 2022): 1–7. http://dx.doi.org/10.1155/2022/7542606.

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The rapid development of the Internet in modern society has promoted the development of many different network platforms. In the context of big data, many types of multimodal data such as pictures, videos, and texts are generated in the platform. Through the analysis of multimodal data, we can provide better services for users. The traditional big data analysis platform cannot achieve a completely stable state for the analysis of multimodal data. The construction of multimodal intelligent platform can achieve efficient analysis of relevant data, so as to create greater economic benefits for the society. This paper mainly studies the historical development trend of big data multimodal intelligence technology and the data processing method of multimodal intelligence technology applied to network expression classification, including data acquisition, storage, and analysis. Finally, it studied the fusion algorithm between multimodal data and visual design, as well as the classification of network expression and the application result analysis of visual design in big data multimodal intelligence technology.

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10

Kang, Jie, Xiao Ying Chen, Qi Yuan Liu, Si Han Jin, Cheng Han Yang, and Cong Hu. "Research on a Microexpression Recognition Technology Based on Multimodal Fusion." Complexity 2021 (November 15, 2021): 1–15. http://dx.doi.org/10.1155/2021/5221950.

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Microexpressions have extremely high due value in national security, public safety, medical, and other fields. However, microexpressions have characteristics that are obviously different from macroexpressions, such as short duration and weak changes, which greatly increase the difficulty of microexpression recognition work. In this paper, we propose a microexpression recognition method based on multimodal fusion through a comparative study of traditional microexpression recognition algorithms such as LBP algorithm and CNN and LSTM deep learning algorithms. The method couples the separate microexpression image information with the corresponding body temperature information to establish a multimodal fusion microexpression database. This paper firstly introduces how to build a multimodal fusion microexpression database in a laboratory environment, secondly compares the recognition accuracy of LBP, LSTM, and CNN + LSTM networks for microexpressions, and finally selects the superior CNN + LSTM network in the comparison results for model training and testing on the test set under separate microexpression database and multimodal fusion database. The experimental results show that a microexpression recognition method based on multimodal fusion designed in this paper is more accurate than unimodal recognition in multimodal recognition after feature fusion, and its recognition rate reaches 75.1%, which proves that the method is feasible and effective in improving microexpression recognition rate and has good practical value.

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Baeza, Rianna R., and Anil R. Kumar. "Perceived Usefulness of Multimodal Voice Assistant Technology." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 1560–64. http://dx.doi.org/10.1177/1071181319631031.

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Smart speaker devices are appealing to consumers, but the perceived usefulness of the multimodal voice experience is not fully understood. The purpose of this study was to evaluate the extent to which cognitive load, the relevance of visual information, and personality influence the perceived usefulness of multimodal voice assistant technology in a within-subjects repeated measures design. A multimodal voice prototype was created to answer the question, “What are some extreme weather conditions?” Nine variants, including 3, 5 and 7 system responses with relevant, irrelevant or no information presented on a screen were included. Three tasks were embedded within each condition (Stroop task, sort M&Ms and no task). Perceived usefulness score, recall, personality score, and fluctuations in galvanic skin response (GSR) values were the subjective and objective measures. The findings suggest that when there’s a smaller number of responses/words for the participant to attend to, and subsequently recall, in addition to relevant visual feedback to aid in that recall, they perceive the voice assistant experience to be more useful, while task conducted exhibits marginal significance in determining PU. Scores of conscientiousness, openness to experience, agreeableness, and neuroticism were successful in predicting some variation in the PU responses, while GSR data was not. It is highly recommended that UX designers of the multimodal interface create succinct voice responses with relevant visual feedback to accompany it, and to keep the main use cases of these products in mind to increase the experience’s PU and subsequent behavioral intention to use the product.

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12

De Oliveira, Janaina Minelli. "Technology, Literacy and Learning: A Multimodal Approach." Journal of Higher Education 80, no. 3 (May 2009): 356–58. http://dx.doi.org/10.1080/00221546.2009.11779019.

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13

Meng, Xiangrui, and Yan Song. "Multimodal Haptic Interaction Technology and its Application." Journal of Physics: Conference Series 1650 (October 2020): 032138. http://dx.doi.org/10.1088/1742-6596/1650/3/032138.

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14

Hung, Shao-Ting Alan. "Enhancing feedback provision through multimodal video technology." Computers & Education 98 (July 2016): 90–101. http://dx.doi.org/10.1016/j.compedu.2016.03.009.

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15

Wang, Shaoxiang. "Discourse and Technology: Multimodal Discourse Analysis (review)." Language 83, no. 1 (2007): 222–23. http://dx.doi.org/10.1353/lan.2007.0050.

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16

Wang, Ling, and Shuai Fu. "Container Multimodal Cooperative Transportation Management Information System Based on Artificial Intelligence Technology." Mathematical Problems in Engineering 2021 (December 23, 2021): 1–14. http://dx.doi.org/10.1155/2021/1272221.

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Artificial intelligence is a branch of computer science, which includes natural language, intelligent processing, and professional methods. Since the birth of artificial intelligence, the technology and application fields have continued to grow, and the application fields have also continued to expand. This article aims to study the application of artificial intelligence technology in the management information system of container multimodal transportation and to provide convenient and efficient operation methods for container multimodal transportation. This paper proposes the C-means clustering method. Through the research and development of the terminal management system, it has achieved great success in automation, intelligent planning, and integrated management. At the same time, the EDI system is adopted, which mainly uses the combination of GPS and GIS information platform Internet network technology. Therefore, when evaluating the operation of the multimodal transport virtual container under the control of coproduction, the DEA method is used to operate the multimodal virtual container. The situation is analyzed and evaluated, and the multimodal transport virtual container is determined through investment. The experimental results of this article show that the artificial intelligence system achieves the most efficient multimodal transport management with the most efficient system model, combined with the leading container multimodal transport virtual enterprise, to provide the best way of the management process for the development of the multimodal transport management information system. The intact rate of container cargo during transportation is as high as 99.7%.

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17

Li, Yan, Jason Chen, and Zhongping Chen. "Multimodal intravascular imaging technology for characterization of atherosclerosis." Journal of Innovative Optical Health Sciences 13, no. 01 (November 4, 2019): 2030001. http://dx.doi.org/10.1142/s1793545820300013.

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Early detection of vulnerable plaques is the critical step in the prevention of acute coronary events. Morphology, composition, and mechanical property of a coronary artery have been demonstrated to be the key characteristics for the identification of vulnerable plaques. Several intravascular multimodal imaging technologies providing co-registered simultaneous images have been developed and applied in clinical studies to improve the characterization of atherosclerosis. In this paper, the authors review the present system and probe designs of representative intravascular multimodal techniques. In addition, the scientific innovations, potential limitations, and future directions of these technologies are also discussed.

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Warnock, David, Marilyn McGee-Lennon, and Stephen Brewster. "Older users, multimodal reminders and assisted living technology." Health Informatics Journal 18, no. 3 (September 2012): 181–90. http://dx.doi.org/10.1177/1460458212440979.

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19

Sew, Jyh Wee. "Book Review: Discourse and Technology: Multimodal Discourse Analysis." Discourse & Society 16, no. 4 (July 2005): 584–86. http://dx.doi.org/10.1177/095792650501600409.

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20

Reichenbach, Jürgen R. "Multimodal imaging and therapy – Technology of the future." Zeitschrift für Medizinische Physik 22, no. 4 (December 2012): 253–54. http://dx.doi.org/10.1016/j.zemedi.2012.09.001.

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21

Oviatt, Sharon, and Rebecca Lunsford. "Multimodal Interfaces for Cell Phones and Mobile Technology." International Journal of Speech Technology 8, no. 2 (June 2005): 127–32. http://dx.doi.org/10.1007/s10772-005-2164-8.

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22

Gall, Marina, and Nick Breeze. "Music composition lessons: the multimodal affordances of technology." Educational Review 57, no. 4 (November 2005): 415–33. http://dx.doi.org/10.1080/00131910500278314.

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23

Oviatt, Sharon, and Rebecca Lunsford. "Multimodal Interfaces for Cell Phones and Mobile Technology." Journal of Sol-Gel Science and Technology 8, no. 2 (June 1997): 127–32. http://dx.doi.org/10.1007/s10971-005-2164-9.

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24

Shahbakhsh, Arash, and Astrid Nieße. "Modeling multimodal energy systems." at - Automatisierungstechnik 67, no. 11 (November 26, 2019): 893–903. http://dx.doi.org/10.1515/auto-2019-0063.

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Abstract Information and communication technology (ICT) and the technology of coupling points including power-to-gas (PtG), power-to-heat (PtH) and combined heat and power (CHP) reshape future energy systems fundamentally. To study the resulting multimodal smart energy system, a proposed method is to separate the behavior of the component layer from the control layer. The component layer includes pipelines, power-lines, generators, loads, coupling points and generally all components through which energy flows. In the work at hand, a model is presented to analyze the operational behavior of the component layer. The modeling problem is formulated as state and phase transition functions, which present the external commands and internal dynamics of system. Phase transition functions are approximated by ordinary differential equations, which are solved with integral methods. State transition functions are nonlinear algebraic functions, which are solved numerically and iteratively with a modified Newton–Raphson method. In a proof-of-concept case study, a scenario shows the expected multi-sector effects based on evaluated models.

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25

KANAMA, DAISUKE. "MULTIMODAL EVALUATIONS OF JAPAN'S NANOTECHNOLOGY COMPETITIVENESS." International Journal of Innovation and Technology Management 10, no. 02 (April 2013): 1340003. http://dx.doi.org/10.1142/s0219877013400038.

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In Japan, there are great expectations for nanotechnology because it is expected not only to renovate existing markets but also create new, large, and wide-ranging markets. Japan is generally believed to be strong in nanotechnology. However, how should the competitiveness of nanotechnology be measured? Based on publications, patents, venture business, and other survey results, this paper intends to discuss Japan's nanotechnology competitiveness and changes in the competition areas of nanotechnology by examining nanotechnology's technological characteristics and industry structures. A finding from this study is that in individual technology areas identified through quantitative analyses such as papers and patents, Japan's nanotechnology can be rated equal to or just behind that of the US. In the future, however, when nanotechnology commercialization becomes more widespread and the stages of technology competition change from top-down technology to bottom-up technology, Japan may lose relative competitiveness as it faces some barriers related to "nanosystematization".

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Mich, Ornella, Gianluca Schiavo, Michela Ferron, and Nadia Mana. "Framing the Design Space of Multimodal Mid-Air Gesture and Speech-Based Interaction With Mobile Devices for Older People." International Journal of Mobile Human Computer Interaction 12, no. 1 (January 2020): 22–41. http://dx.doi.org/10.4018/ijmhci.2020010102.

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Multimodal human–computer interaction has been sought to provide not only more compelling interactive experiences, but also more accessible interfaces to mobile devices. With the advance in mobile technology and in affordable sensors, multimodal research that leverages and combines multiple interaction modalities (such as speech, touch, vision, and gesture) has become more and more prominent. This article provides a framework for the key aspects in mid-air gesture and speech-based interaction for older adults. It explores the literature on multimodal interaction and older adults as technology users and summarises the main findings for this type of users. Building on these findings, a number of crucial factors to take into consideration when designing multimodal mobile technology for older adults are described. The aim of this work is to promote the usefulness and potential of multimodal technologies based on mid-air gestures and voice input for making older adults' interaction with mobile devices more accessible and inclusive.

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Niu, Lu. "Analysis of Multimodal Teaching of College English under the Background of Artificial Intelligence." Security and Communication Networks 2022 (August 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/3833106.

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As the Internet drives the spread of digitalization and the further improvement of computing power, the traditional college English teaching mode can no longer adapt to the needs of teaching in the age of artificial intelligence. Single or lesser modality is gradually replaced by multimodality, an emerging teaching mode. The study of multimodal discourse is a new hot spot in language research and a key issue of concern for English classroom teaching reform. Based on the analysis of the practical application dilemmas of multimodality in college English teaching culture, context, content (meaning + form), and expression, this article proposes a path to innovate multimodal discourse teaching in college English classroom in the era of artificial intelligence. It includes familiarizing with multimode integrated platform for teaching tools and developing intercultural communication abilities. Multimode situational lectures with the help of modern information technology are developed. At the content level, we should adhere to the unity and coordination of the meaning and form of multimodal teaching. Use language and nonlanguage in a way that will enhance learning at the multimode media level. Additionally, AI enriches English teaching methods, changes the intelligence of English teachers, and improves the efficiency of English teaching. AI helps to create a more relevant and interactive English learning environment, improve many aspects of English teaching, including teaching evaluation, and effectively improve the face of college English teaching.

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Bröker, Sophie, and Elisabeth Zima. "Disaffiliierende Bewertungen und Haltungsbekundungen in Er-zählaktivitäten – eine multimodale Analyse." Linguistik Online 118, no. 6 (December 26, 2022): 29–55. http://dx.doi.org/10.13092/lo.118.9087.

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This paper deals with multimodal displays of non-affiliative stances and assessments in face-to-face triadic storytelling activities. Building on conversational analytical research that has highlighted the co-constructed nature of storytelling activities and the intersubjective nature of stance-taking, this paper takes a multimodal perspective and focusses on how interactants use language, prosody, gaze, and gestures to express stances that are non-affiliative to different degrees. The paper addresses two issues: We first concentrate on the ways that disaffiliative assessments and stances are communicated as multimodal packages before zooming in on the ways that storytellers and recipients deal with displays of disaffiliation. This includes both verbal and nonverbal strategies to highlight disaffiliation and interactional work to jointly mitigate it. By its focus on multimodal stance-taking in storytelling activities, the paper ties in with both the recently growing interest in the multimodal nature of stance-taking as well as recent pleas to revisit interactional storytelling from a multimodal perspective.

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29

Suwastini, Ni Komang Arie, Putu Dita Marantika, Ni Luh Putu Sri Adnyani, Made Astawa Kusuma Mandala, and Ni Nyoman Artini. "Multimodal Teaching in EFL Context: A Literature Review." Edu-Ling: Journal of English Education and Linguistics 4, no. 2 (August 15, 2021): 140. http://dx.doi.org/10.32663/edu-ling.v4i2.1701.

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In the 21st century, the development of technology has made a lot of influence on the educational process. Technology brings many new approaches to the classroom such as multimodal teaching. The current study intended to review the implementation and effectiveness of multimodal teaching in the context of English language teaching. The review followed Aveyard's (2010) design, with the criteria of selecting the articles used as sources of data are research articles from journals. The result of the review found that the characteristics, benefits, and procedures of multimodal teaching vary greatly according to the needs and abilities of teachers to design the teaching and learning activities. The review also found that multimodal teaching affected students' motivation, productive skills, reading skills, and learning autonomy. This study suggests the implementation of multimodal teaching in ELT classrooms.

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30

Chao, Ma. "A Cognitive Study of the Multimodal Metaphors in National Publicity Documentaries China Enters a New Era: A Case Study of National Image." IRA International Journal of Education and Multidisciplinary Studies 17, no. 1 (March 30, 2021): 27. http://dx.doi.org/10.21013/jems.v17.n1.p4.

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Recent years have witnessed great interests in multimodal communication due to the rapid development of information technology. Multimodal texts of different genres have sparked great interest of researchers in linguistic study. Based on the cognitive mechanism of multimodal metaphor, this study attempts to figure out the types of metaphor in National Image Publicity Documentary China enters a new era, meaning construction of multimodal metaphors, and what kinds of national image have been constructed by multimodal metaphor.

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31

Glinert, E. P., and M. M. Blattner. "Multimodal Interaction." IEEE Multimedia 3, no. 4 (1996): 13. http://dx.doi.org/10.1109/mmul.1996.556455.

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Blattner, M. M., and E. P. Glinert. "Multimodal integration." IEEE Multimedia 3, no. 4 (1996): 14–24. http://dx.doi.org/10.1109/93.556457.

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Chen, Z. F., J. J. Shuai, F. J. Tian, W. Y. Li, S. H. Zang, and X. Z. Zhang. "An Improved Privacy Protection Algorithm for Multimodal Data Fusion." Scientific Programming 2022 (August 23, 2022): 1–7. http://dx.doi.org/10.1155/2022/4189148.

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With the rapid development of Internet technology, the use and sharing of data have brought great opportunities and challenges to mankind. On the one hand, the development of data sharing and analysis technology has promoted the improvement of economic and social benefits. On the other hand, protecting private information has become an urgent issue in the Internet era. In addition, the amount and type of information data are also increasing. At present, most algorithms can only encrypt a single type of small-scale data, which cannot meet the current data environment. Therefore, it is very necessary to study the privacy protection algorithm of multimodal data fusion. To improve the security of privacy protection algorithm, combined with the idea of multimode, this paper combines the improved traditional spatial steganography algorithm LSB matching method and the improved traditional transform domain steganography algorithm DCT with AES encryption algorithm after modifying the S-box and then combines it with image stitching technology, so as to realize a safe and reliable privacy protection algorithm of multimode information fusion. The algorithm completes the hidden communication of private information, which not only ensures that the receiver can accurately recover private information in the process of information transmission but also greatly improves the security of private information transmission.

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red. "Multimodal Dialogue System." ATZautotechnology 7, no. 6 (November 2007): 24–25. http://dx.doi.org/10.1007/bf03247018.

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李, 旭. "Research Progress of Multimodal MR Technology in Diabetic Cardiomyopathy." Advances in Clinical Medicine 12, no. 09 (2022): 8082–87. http://dx.doi.org/10.12677/acm.2022.1291164.

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Kaya, Mehmet Haldun, and Tufan Adiguzel. "Technology Integration Through Evidence-Based Multimodal Reflective Professional Training." Contemporary Educational Technology 13, no. 4 (August 14, 2021): ep323. http://dx.doi.org/10.30935/cedtech/11143.

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37

Yuan, Yeqian. "Application Research of Multimodal Sensing Technology in Online Classroom." Learning & Education 10, no. 3 (November 7, 2021): 226. http://dx.doi.org/10.18282/l-e.v10i3.2464.

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Online classroom can be said to be the result of the combination of Internet technology, multimedia technology and classroom teaching.In particular, since the 2020 new crown, many schools have implemented online courses, as an alternative to suspension during the epidemic.Multi-mode perception technology is a very practical technology to carry out online classrooms. It can make classroom teaching diversification, making classroom teaching more lively and relaxed, further promoting the improvement of students’ interest in learning.Therefore, we should actively promote the use of multi-modal perceptual technology online class. Below, we will carry out some analysis according to this topic.

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Olsheski, Julia DeBlasio. "Multimodal display integration for in-vehicle assistive technology (IVAT)." ACM SIGACCESS Accessibility and Computing, no. 102 (January 2012): 30–35. http://dx.doi.org/10.1145/2140446.2140453.

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Timmons, Adela C., Theodora Chaspari, Sohyun C. Han, Laura Perrone, Shrikanth S. Narayanan, and Gayla Margolin. "Using Multimodal Wearable Technology to Detect Conflict among Couples." Computer 50, no. 3 (March 2017): 50–59. http://dx.doi.org/10.1109/mc.2017.83.

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Zografos, G., D. Koulocheri, P. Liakou, M. Sofras, S. Hadjiagapis, M. Orme, and V. Marmarelis. "Novel technology of multimodal ultrasound tomography detects breast lesions." European Radiology 23, no. 3 (September 16, 2012): 673–83. http://dx.doi.org/10.1007/s00330-012-2659-z.

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Schmidt, Nicole. "Digital Multimodal Composition and Second Language Teacher Knowledge." TESL Canada Journal 36, no. 3 (December 30, 2019): 1–30. http://dx.doi.org/10.18806/tesl.v36i3.1319.

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Before second language writing (SLW) teachers’ digital practices can be supported, their needs must first be understood. To accomplish effective technology-enhanced instruction, SLW teachers must blend their knowledge of composition theory, second language acquisition, and multimodal composition technologies. However, many teachers struggle to do this, which highlights the need for research addressing the cognitive aspects that influence digital instruction. This case study reports on an investigation of three in-service university SLW teachers’ Technological Pedagogical Content Knowledge (TPACK) during a digital reflective portfolio module. Data from an online survey, instructional content, classroom observations, and semistructured interviews were triangulated to uncover the nature of SLW teachers’ TPACK, including which factors supported and constrained their use of technology. Findings suggest that pedagogical content knowledge played a dominant role in how the teachers used technology. The teachers’ TPACK was enhanced by professional beliefs about the importance of multimodality and contextual factors involving institutional support and communities of practice. However, it was constrained by limited self-efficacy and pedagogical beliefs concerning the influence of technology on student learning and student engagement. This study contributes to a growing body of research on how to support language teachers in their digitally mediated practices. Avant de pouvoir soutenir les pratiques numériques des enseignantes et enseignants d’expression écrite en langue seconde (SLW), il faut commencer par en comprendre les besoins. Pour être à même de dispenser efficacement un enseignement enrichi par la technologie, les enseignantes et enseignants d’expression écrite en langue seconde doivent amalgamer leurs connaissances dans les domaines de la théorie de la composition, de l’acquisition d’une langue seconde et des technologies de composition multimodale. Beaucoup d’enseignantes et d’enseignants, toutefois, arrivent mal à le faire, ce qui souligne le besoin de recherches sur les facteurs cognitifs qui ont une incidence sur l’enseignement numérique. La présente étude de cas fait état de recherches menées auprès de trois enseignants (un homme et deux femmes) d’expression écrite en langue seconde en cours de service au niveau universitaire dans le cadre TPACK (Technological Pedagogical Content Knowledge). Des données issues d’un sondage en ligne, un contenu pédagogique, des observations faites en salle de classe et des entrevues semi-structurées ont été triangulés pour lever le voile sur la nature des connaissances des enseignantes et enseignants d’expression écrite en langue seconde dans le cadre TPACK, y compris la question de savoir quels facteurs soutiennent ou restreignent leur recours à la technologie. Les constatations suggèrent que la connaissance du contenu pédagogique joue un rôle prépondérant dans la façon dont les enseignantes et enseignants utilisent la technologie. Leurs connaissances sont par ailleurs renforcées par des convictions professionnelles concernant l’importance de l’intermodalité ainsi que par des facteurs contextuels impliquant le soutien institutionnel et les communautés de pratique. Elles se sont toutefois avérées limitées par l’auto-efficacité réduite des enseignantes et enseignants et leurs croyances pédagogiques relativement à l’influence de la technologie sur l’apprentissage et l’engagement des étudiantes et étudiants. Cette étude s’ajoute à un corpus croissant de recherches sur la façon de soutenir les professeurs de langue dans leurs pratiques numériques.

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Wang, Wu Gong, Rong Guo Ma, Jing Wang, and Qi Dong. "Study on Information Systems Development and Structural Optimization of Agricultural Products Multimodal Transportation." Applied Mechanics and Materials 220-223 (November 2012): 2379–87. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2379.

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Achieving scientific decision-making and information sharing of agricultural products multimodal transport is critical to enhance the management level of agricultural transportation. Based on the advantages of agricultural products multimodal transport, this paper makes an analysis of the decision-making and information systems development of agricultural products multimodal transport, which leads into the embedded GIS technology to study information structural optimization of agricultural products multimodal transport. Studies have shown that embedded GIS can improve the agricultural products multimodal transport activities and its logistical support capabilities, so as to provide important quantitative basis for achieving accurate protection of agricultural products multimodal transport under conditions of informatization.

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Du, Xufeng, and Yaye He. "Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running." Scanning 2022 (October 4, 2022): 1–7. http://dx.doi.org/10.1155/2022/6425448.

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In order to monitor the rehabilitation of athletes injured in long-distance running, the author proposes a method for rehabilitation monitoring of long-distance running based on CT multimodal images. This method combines the latest multimodal image technology, integrates multimodal technology into CT images to improve the accuracy, performs image segmentation on CT multimodal images through medical segmentation methods, and analyzes the segmented images; finally, it can achieve the effect of rehabilitation treatment for athletes in long-distance running. Experimental results show that the total time taken by the authors’ method is 10.9 hours, with an average time of 8 seconds, which is much shorter than the other two control methods. In conclusion, the authors’ method allows for better rehabilitation monitoring of long-distance running sports injuries.

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Namoun, Abdallah, Ali Tufail, Nikolay Mehandjiev, Ahmed Alrehaili, Javad Akhlaghinia, and Evtim Peytchev. "An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology." Applied Sciences 11, no. 5 (February 25, 2021): 2057. http://dx.doi.org/10.3390/app11052057.

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The use and coordination of multiple modes of travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture of an eco-friendly transport guidance system by employing the agent-based paradigm. The paradigm uses software agents to model and represent the complex transport infrastructure of urban environments, including roads, buses, trolleybuses, metros, trams, bicycles, and walking. The system exploits live traffic data (e.g., traffic flow, density, and CO2 emissions) collected from multiple data sources (e.g., road sensors and SCOOT) to provide multimodal route recommendations for travelers through a dedicated application. Moreover, the proposed system empowers the transport management authorities to monitor the traffic flow and conditions of a city in real-time through a dedicated web visualization. We exhibit the advantages of using different types of agents to represent the versatile nature of transport networks and realize the concept of smart transportation. Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. A technical simulation was executed using various parameters to demonstrate the scalability of our multimodal traffic management architecture. Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing eco-friendly route guidance. Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to scale to satisfy the requirements of traffic infrastructure in diverse urban environments.

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Prymachenko, Hanna O., Olha О. Shapatina, Oksana S. Pestremenko-Skrypka, Anna V. Shevchenko, and Maryna V. Halkevych. "Improving the technology of product supply chain management in the context of the development of multimodal transportation systems in the European union countries." International Journal of Agricultural Extension 10, no. 2 (January 11, 2022): 77–89. http://dx.doi.org/10.33687/ijae.010.00.3866.

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The relevance of the study is caused by the growing role of multimodal transportation in Ukraine and the European Union, ensures the optimization of the goods supply chain management to the consignee, and an important element of this development is the significant role of rail transport in the multimodal transportation, which is relevant towards minimization of costs and preserving the environment. The purpose of the article is to develop measures to improve the designing processes of the multimodal route parts for grain supply chains through the using of network systems and minimizing the total transportation cost. Taking into account the specifics of the functioning and management of multimodal transportation, an approach to the integrated assessment of the effect from the transport enterprises activities in multimodal transportation based on the building of network models of each part of the multimodal route is offered. The article presents the results of the analysis and theoretical generalization of approaches to formalizing the process of functioning the multimodal transportation systems for goods supply chains with rail and road modes of transport. The materials of the article are of practical value for vocational and industrial training of logistics operators, transport companies’ staff, and scientific and pedagogical personnel in order to improve their professional competencies.

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J, Sunil Gavaskar, and Swetha S. "Multimodal Transport Solutions for Smart Cities." Technoarete Transactions on Advances in Computer Applications 1, no. 1 (March 10, 2022): 15–19. http://dx.doi.org/10.36647/ttaca/01.01.a004.

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The research article has shown the multimodal transport solutions for smart cities in India. The researcher has discussed the concept of multimodal transport solution, problems and also characteristics for the solution of multimodal transport systems in the smart cities. The main findings are to show that the multimodal system has the capacity to overcome the issues of smart cities. It also has power to mitigate traffic issues which take place that take place in different cities. The system develops the product delivery times, reduces many inventory costs and also keeps the shipment costs under control. Keyword :Multimodal transport solution, Smart cities, communication technology.

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Doyle-Jones, Carol. "“Technology Brings Learning to Life”: Planning Writing Opportunities through Multimodal and Digital Resources." Language and Literacy 21, no. 2 (July 3, 2019): 52–68. http://dx.doi.org/10.20360/langandlit29468.

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This paper illustrates how participating elementary teachers plan their literacy-based curriculum and create learning opportunities for writing through multimodal resources and digital technology tools in their classrooms. A theoretical lens of New Literacies (Coiro et al., 2008; Leu et al., 2013) guides this qualitative study. Through comprehensive interviews and an analysis of activity resources and digital tools, how teachers plan and design writing curriculum with a multimodal focus and create opportunities for collaboration and enhancing authorship are discussed.

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Weng, Yabin, and Feiting Lin. "Multimodal Emotion Recognition Algorithm for Artificial Intelligence Information System." Wireless Communications and Mobile Computing 2022 (May 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/9236238.

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Emotional expression is an essential and important link in human social activities and daily communication activities. Emotion recognition is a technology that uses computer technology to recognize the emotion of recognized objects. When emotion recognition technology was born, the research on human emotion recognition mainly focused on single-modal emotion recognition. Single-modal emotion recognition has been the most commonly used emotion recognition method. However, in recent years, with the continuous development of science and technology and the continuous improvement of people’s awareness of the defects of single-modal emotion recognition, the research on multimodal emotion recognition is increasingly emerging. This paper is aimed at analyzing and studying the multimodal emotion recognition algorithm in artificial intelligence information system. Based on this research topic, this paper designs a single-modal and multimodal emotion recognition comparison simulation experiment for the four emotional characteristics of happiness, sadness, shock, and anger extracted from artificial intelligence information systems. The experiment concluded that the comprehensive emotion recognition accuracy rate of the multimodal emotion recognition algorithm in the artificial intelligence information system reached 93%. Compared with single-mode emotion recognition, the comprehensive recognition accuracy is improved by 7%.

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Su, Yudan. "Does ‘WOW’ translate to an ‘A’? Exploring the effects of virtual reality assisted multimodal text on Chinese Grade 8 EFL learners’ reading comprehension." Journal of Language Teaching 1, no. 3 (December 2, 2021): 21–41. http://dx.doi.org/10.54475/jlt.2021.015.

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Purpose In recent years, the incorporation of multimedia into linguistic input has opened a new horizon in the field of second language acquisition (SLA). In the reading aspect, the advent of virtual reality (VR) technology extends the landscape of reading repertoire by engaging learners with auditory, visual and tactile multimodal input. This study aimed to examine the pedagogical potential of VR technology in enhancing learners’ reading comprehension. Methods Three classes including 131 Chinese 8th grade EFL students participated in this study. This study adopted mixed methods methodology and triangulated pre-post-retention tests, questionnaires, learning journals and interview data to compare three modes of text input on learners’ reading performance and cognitive processing. Results The results indicated that VR-assisted multimodal input significantly improved learners’ macrostructural comprehension in the short term, whereas there was no significant difference in retention performance. The findings revealed that reading multimodal text did not exceed learners’ memory capacity or impose extraneous cognitive load. Participants mainly reported favorably on the efficacy of multimodal input in assisting their reading. Conclusion This study was the first attempt to integrate VR technology with input presentation and cognitive processing and offered a new line of theorization of VR-assisted multimodal learning in the cognitive field of SLA.

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Chen, Xiaoyan. "Automatic Assessment Method of Oral English Based on Multimodality." Scientific Programming 2022 (January 19, 2022): 1–10. http://dx.doi.org/10.1155/2022/4774677.

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With the rapid development of Internet technology and educational informatization, there are more and more oral materials available on the Internet. Therefore, how to adapt to learners’ dynamic abilities and provide them with personalized learning materials has become a very important issue in educational technology. Aiming at the inefficiency of the existing automatic assessment of spoken English, a multimodal-based automatic assessment method of spoken English is proposed. The Word2Vec model is used to extract text features, and then, speech and text are input into GRU temporal structure, and encoder coding is used for multimodal fusion to realize automatic evaluation of multimodal spoken English. Simulation results show that the multimodal model proposed in this paper is superior to the traditional oral English automatic assessment model in terms of fluency, emotional expression, and sense of rhythm and can better improve learners’ oral English level.

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