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Journal articles on the topic 'Multimodal guidance'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhu, Junnan, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, and Changliang Li. "Multimodal Summarization with Guidance of Multimodal Reference." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9749–56. http://dx.doi.org/10.1609/aaai.v34i05.6525.

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Multimodal summarization with multimodal output (MSMO) is to generate a multimodal summary for a multimodal news report, which has been proven to effectively improve users' satisfaction. The existing MSMO methods are trained by the target of text modality, leading to the modality-bias problem that ignores the quality of model-selected image during training. To alleviate this problem, we propose a multimodal objective function with the guidance of multimodal reference to use the loss from the summary generation and the image selection. Due to the lack of multimodal reference data, we present two strategies, i.e., ROUGE-ranking and Order-ranking, to construct the multimodal reference by extending the text reference. Meanwhile, to better evaluate multimodal outputs, we propose a novel evaluation metric based on joint multimodal representation, projecting the model output and multimodal reference into a joint semantic space during evaluation. Experimental results have shown that our proposed model achieves the new state-of-the-art on both automatic and manual evaluation metrics. Besides, our proposed evaluation method can effectively improve the correlation with human judgments.

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Brell, M., and A. Hein. "Tactile guidance in multimodal computer navigated surgery." IEEE Potentials 28, no. 4 (2009): 30–35. http://dx.doi.org/10.1109/mpot.2009.932495.

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Peters, T., B. Davey, P. Munger, R. Comeau, A. Evans, and A. Olivier. "Three-dimensional multimodal image-guidance for neurosurgery." IEEE Transactions on Medical Imaging 15, no. 2 (1996): 121–28. http://dx.doi.org/10.1109/42.491414.

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Ringel, Morgan J., Eric M. Tang, and Yuankai K. Tao. "Advances in multimodal imaging in ophthalmology." Therapeutic Advances in Ophthalmology 13 (January 2021): 251584142110024. http://dx.doi.org/10.1177/25158414211002400.

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Multimodality ophthalmic imaging systems aim to enhance the contrast, resolution, and functionality of existing technologies to improve disease diagnostics and therapeutic guidance. These systems include advanced acquisition and post-processing methods using optical coherence tomography (OCT), combined scanning laser ophthalmoscopy and OCT systems, adaptive optics, surgical guidance, and photoacoustic technologies. Here, we provide an overview of these ophthalmic imaging systems and their clinical and basic science applications.

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Lin, Minxuan, Fan Tang, Weiming Dong, Xiao Li, Changsheng Xu, and Chongyang Ma. "Distribution Aligned Multimodal and Multi-domain Image Stylization." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 3 (2021): 1–17. http://dx.doi.org/10.1145/3450525.

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Multimodal and multi-domain stylization are two important problems in the field of image style transfer. Currently, there are few methods that can perform multimodal and multi-domain stylization simultaneously. In this study, we propose a unified framework for multimodal and multi-domain style transfer with the support of both exemplar-based reference and randomly sampled guidance. The key component of our method is a novel style distribution alignment module that eliminates the explicit distribution gaps between various style domains and reduces the risk of mode collapse. The multimodal diversity is ensured by either guidance from multiple images or random style codes, while the multi-domain controllability is directly achieved by using a domain label. We validate our proposed framework on painting style transfer with various artistic styles and genres. Qualitative and quantitative comparisons with state-of-the-art methods demonstrate that our method can generate high-quality results of multi-domain styles and multimodal instances from reference style guidance or a random sampled style.

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Scarlatos, L. "TICLE: using multimedia multimodal guidance to enhance learning." Information Sciences 140, no. 1-2 (2002): 85–103. http://dx.doi.org/10.1016/s0020-0255(01)00182-7.

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Tomasello, Francesco, and Alfredo Conti. "The Promise of Multimodal Image Guidance in Neurosurgery." World Neurosurgery 82, no. 1-2 (2014): e183-e184. http://dx.doi.org/10.1016/j.wneu.2014.02.021.

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8

Cartucho, João, David Shapira, Hutan Ashrafian, and Stamatia Giannarou. "Multimodal mixed reality visualisation for intraoperative surgical guidance." International Journal of Computer Assisted Radiology and Surgery 15, no. 5 (2020): 819–26. http://dx.doi.org/10.1007/s11548-020-02165-4.

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Abstract Purpose In the last decade, there has been a great effort to bring mixed reality (MR) into the operating room to assist surgeons intraoperatively. However, progress towards this goal is still at an early stage. The aim of this paper is to propose a MR visualisation platform which projects multiple imaging modalities to assist intraoperative surgical guidance. Methodology In this work, a MR visualisation platform has been developed for the Microsoft HoloLens. The platform contains three visualisation components, namely a 3D organ model, volumetric data, and tissue morphology captured with intraoperative imaging modalities. Furthermore, a set of novel interactive functionalities have been designed including scrolling through volumetric data and adjustment of the virtual objects’ transparency. A pilot user study has been conducted to evaluate the usability of the proposed platform in the operating room. The participants were allowed to interact with the visualisation components and test the different functionalities. Each surgeon answered a questionnaire on the usability of the platform and provided their feedback and suggestions. Results The analysis of the surgeons’ scores showed that the 3D model is the most popular MR visualisation component and neurosurgery is the most relevant speciality for this platform. The majority of the surgeons found the proposed visualisation platform intuitive and would use it in their operating rooms for intraoperative surgical guidance. Our platform has several promising potential clinical applications, including vascular neurosurgery. Conclusion The presented pilot study verified the potential of the proposed visualisation platform and its usability in the operating room. Our future work will focus on enhancing the platform by incorporating the surgeons’ suggestions and conducting extensive evaluation on a large group of surgeons.

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Sarter, Nadine B. "Multimodal information presentation: Design guidance and research challenges." International Journal of Industrial Ergonomics 36, no. 5 (2006): 439–45. http://dx.doi.org/10.1016/j.ergon.2006.01.007.

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10

Panou, Maria. "Personalized application for multimodal route guidance for travellers." European Transport Research Review 4, no. 1 (2011): 19–26. http://dx.doi.org/10.1007/s12544-011-0067-0.

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11

Mela, Christopher A., Carrie Patterson, William K. Thompson, Francis Papay, and Yang Liu. "Stereoscopic Integrated Imaging Goggles for Multimodal Intraoperative Image Guidance." PLOS ONE 10, no. 11 (2015): e0141956. http://dx.doi.org/10.1371/journal.pone.0141956.

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Murgu, Septimiu D., Henri G. Colt, David Mukai, and Matt Brenner. "Multimodal imaging guidance for laser ablation in tracheal stenosis." Laryngoscope 120, no. 9 (2010): 1840–46. http://dx.doi.org/10.1002/lary.21047.

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13

Zhu, Junnan, Lu Xiang, Yu Zhou, Jiajun Zhang, and Chengqing Zong. "Graph-based Multimodal Ranking Models for Multimodal Summarization." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 4 (2021): 1–21. http://dx.doi.org/10.1145/3445794.

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Multimodal summarization aims to extract the most important information from the multimedia input. It is becoming increasingly popular due to the rapid growth of multimedia data in recent years. There are various researches focusing on different multimodal summarization tasks. However, the existing methods can only generate single-modal output or multimodal output. In addition, most of them need a lot of annotated samples for training, which makes it difficult to be generalized to other tasks or domains. Motivated by this, we propose a unified framework for multimodal summarization that can cover both single-modal output summarization and multimodal output summarization. In our framework, we consider three different scenarios and propose the respective unsupervised graph-based multimodal summarization models without the requirement of any manually annotated document-summary pairs for training: (1) generic multimodal ranking, (2) modal-dominated multimodal ranking, and (3) non-redundant text-image multimodal ranking. Furthermore, an image-text similarity estimation model is introduced to measure the semantic similarity between image and text. Experiments show that our proposed models outperform the single-modal summarization methods on both automatic and human evaluation metrics. Besides, our models can also improve the single-modal summarization with the guidance of the multimedia information. This study can be applied as the benchmark for further study on multimodal summarization task.

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Mathéron, H. M., N. S. van den Berg, O. R. Brouwer, et al. "Multimodal surgical guidance towards the sentinel node in vulvar cancer." Gynecologic Oncology 131, no. 3 (2013): 720–25. http://dx.doi.org/10.1016/j.ygyno.2013.09.007.

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Zheng, J., C. Allen, and D. Jaffray. "169 Multimodal contrast agent for radiation therapy planning and guidance." Radiotherapy and Oncology 78 (March 2006): S57—S58. http://dx.doi.org/10.1016/s0167-8140(06)80647-x.

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Chen, Yongkang, Jiulong Zhao, Shige Wang, et al. "Photothermal Composite Nanomaterials for Multimodal Tumor Therapy under MRI Guidance." ChemistrySelect 4, no. 37 (2019): 11156–64. http://dx.doi.org/10.1002/slct.201903481.

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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 (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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Liang, Shujing, Menglin Sun, Yonglin Lu, et al. "Cytokine-induced killer cells-assisted tumor-targeting delivery of Her-2 monoclonal antibody-conjugated gold nanostars with NIR photosensitizer for enhanced therapy of cancer." Journal of Materials Chemistry B 8, no. 36 (2020): 8368–82. http://dx.doi.org/10.1039/d0tb01391a.

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19

Luca, Ion-Sorin. "A Multimodal Discourse Analysis in Media." Romanian Journal of English Studies 17, no. 1 (2020): 74–80. http://dx.doi.org/10.1515/rjes-2020-0009.

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Abstract This study attempts a multimodal discourse analysis of a newspaper article during the Brexit campaign. The aim is to help the audience decode and evaluate photographs and texts from media by providing a few strategies as guidance. The approach adopted for this analytical research is inspired by Halliday and Matthiessen’s An Introduction to Functional Grammar (2004). Consequently, the objects in a photograph and words in a text function similarly conveying information to the audience, and additionally, involve a similar strategy of analysis. To sum up, these strategies are intended to improve the audience’s comprehension of decoding article meaning and journalist’s intention.

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Montgomery, John C., Fiona Macdonald, Cindy F. Baker, and Alexander G. Carton. "Hydrodynamic Contributions to Multimodal Guidance of Prey Capture Behavior in Fish." Brain, Behavior and Evolution 59, no. 4 (2002): 190–98. http://dx.doi.org/10.1159/000064906.

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Ziliaskopoulos, Athanasios, and Whitney Wardell. "Route Guidance on Dynamic Multimodal Networks Accounting for Mode Switching Delays." IFAC Proceedings Volumes 30, no. 8 (1997): 411–16. http://dx.doi.org/10.1016/s1474-6670(17)43858-4.

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Zhang, Yumiao, Hao Hong, Boyang Sun, et al. "Surfactant-stripped naphthalocyanines for multimodal tumor theranostics with upconversion guidance cream." Nanoscale 9, no. 10 (2017): 3391–98. http://dx.doi.org/10.1039/c6nr09321c.

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23

Dan, Qing, Dehong Hu, Yongshuai Ge, et al. "Ultrasmall theranostic nanozymes to modulate tumor hypoxia for augmenting photodynamic therapy and radiotherapy." Biomaterials Science 8, no. 3 (2020): 973–87. http://dx.doi.org/10.1039/c9bm01742a.

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A theranostic nanozyme (Au NCs-ICG) decomposes intratumoral H<sub>2</sub>O<sub>2</sub> to O<sub>2</sub>, subsequently enhancing photodynamic therapy and radiotherapy with the guidance of multimodal imaging.

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24

Buehlmann, Cornelia, Michael Mangan, and Paul Graham. "Multimodal interactions in insect navigation." Animal Cognition 23, no. 6 (2020): 1129–41. http://dx.doi.org/10.1007/s10071-020-01383-2.

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AbstractAnimals travelling through the world receive input from multiple sensory modalities that could be important for the guidance of their journeys. Given the availability of a rich array of cues, from idiothetic information to input from sky compasses and visual information through to olfactory and other cues (e.g. gustatory, magnetic, anemotactic or thermal) it is no surprise to see multimodality in most aspects of navigation. In this review, we present the current knowledge of multimodal cue use during orientation and navigation in insects. Multimodal cue use is adapted to a species’ sensory ecology and shapes navigation behaviour both during the learning of environmental cues and when performing complex foraging journeys. The simultaneous use of multiple cues is beneficial because it provides redundant navigational information, and in general, multimodality increases robustness, accuracy and overall foraging success. We use examples from sensorimotor behaviours in mosquitoes and flies as well as from large scale navigation in ants, bees and insects that migrate seasonally over large distances, asking at each stage how multiple cues are combined behaviourally and what insects gain from using different modalities.

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Wurm, Gabriele, and Franz A. Fellner. "Implementation of T2*-weighted MR for multimodal image guidance in cerebral cavernomas." NeuroImage 22, no. 2 (2004): 841–46. http://dx.doi.org/10.1016/j.neuroimage.2004.01.027.

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Buchari, Erika. "A multimodal public transport planning guidance for sustainable transport in developing countries." International Journal of Environment and Sustainable Development 8, no. 3/4 (2009): 263. http://dx.doi.org/10.1504/ijesd.2009.024631.

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Finomore, Victor, Christopher McClernon, Andrea Calvo, and Lauren Brooks. "Multimodal Mobile Technology to Aid in Remote Guidance from Subject Matter Expert." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 112–13. http://dx.doi.org/10.1177/1541931218621025.

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Liljedahl, Mats, Stefan Lindberg, Katarina Delsing, Mikko Polojärvi, Timo Saloranta, and Ismo Alakärppä. "Testing Two Tools for Multimodal Navigation." Advances in Human-Computer Interaction 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/251384.

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The latest smartphones with GPS, electronic compasses, directional audio, touch screens, and so forth, hold a potential for location-based services that are easier to use and that let users focus on their activities and the environment around them. Rather than interpreting maps, users can search for information by pointing in a direction and database queries can be created from GPS location and compass data. Users can also get guidance to locations through point and sweep gestures, spatial sound, and simple graphics. This paper describes two studies testing two applications with multimodal user interfaces for navigation and information retrieval. The applications allow users to search for information and get navigation support using combinations of point and sweep gestures, nonspeech audio, graphics, and text. Tests show that users appreciated both applications for their ease of use and for allowing users to interact directly with the surrounding environment.

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Wu, Jianhui, Yuanfa Ji, Xiyan Sun, and Yan Xu. "Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation Network." Journal of Advanced Transportation 2020 (May 28, 2020): 1–9. http://dx.doi.org/10.1155/2020/9191834.

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To study the guidance method of driverless travel mode choice from the perspective of traffic supply-demand, we assume that all vehicles are driverless and establish a multimodal travel market model to depict the supply-demand relationship of multimodal driverless transportation network. To regulate the disequilibrium multimodal travel market, an optimal price regulation law is proposed, which aims to minimize the supply-demand deviation and the amplitude of price regulation. Then, the existence, uniqueness, and stability of the optimal price regulation law are confirmed. In the calculation process of a numerical example, the travel prices of driverless car and driverless subway are realized by congestion fee and subway fare, respectively. The results indicate that the optimal price regulation law can reduce the supply-demand deviation of the multimodal travel market and guide travelers to choose a reasonable travel mode to travel in the driverless transportation network.

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FRANK, STELLA, DESMOND ELLIOTT, and LUCIA SPECIA. "Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices." Natural Language Engineering 24, no. 3 (2018): 393–413. http://dx.doi.org/10.1017/s1351324918000074.

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AbstractTwo studies on multilingual multimodal image description provide empirical evidence towards two questions at the core of the task: (i) whether target language speakers prefer descriptions generated directly in their native language, as compared to descriptions translated from a different language; (ii) whether images improve human translation of descriptions. These results provide guidance for future work in multimodal natural language processing by first showing that on the whole, translations are not distinguished from native language descriptions, and second delineating and quantifying the information gained from the image during the human translation task.

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Lee, Joonseok, Andrew C. Gordon, Hacksung Kim, et al. "Targeted multimodal nano-reporters for pre-procedural MRI and intra-operative image-guidance." Biomaterials 109 (December 2016): 69–77. http://dx.doi.org/10.1016/j.biomaterials.2016.09.013.

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Pinto, Andoni Rivera, Johan Kildal, and Elena Lazkano. "Multimodal Mixed Reality Impact on a Hand Guiding Task with a Holographic Cobot." Multimodal Technologies and Interaction 4, no. 4 (2020): 78. http://dx.doi.org/10.3390/mti4040078.

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In the context of industrial production, a worker that wants to program a robot using the hand-guidance technique needs that the robot is available to be programmed and not in operation. This means that production with that robot is stopped during that time. A way around this constraint is to perform the same manual guidance steps on a holographic representation of the digital twin of the robot, using augmented reality technologies. However, this presents the limitation of a lack of tangibility of the visual holograms that the user tries to grab. We present an interface in which some of the tangibility is provided through ultrasound-based mid-air haptics actuation. We report a user study that evaluates the impact that the presence of such haptic feedback may have on a pick-and-place task of the wrist of a holographic robot arm which we found to be beneficial.

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Dong, Lili, Gouhui Liu, Xin Ye, and Wei Wang. "Study on the Design of Container Highway and Railway Automatic Transfer Vehicle in Ocean Port." Polish Maritime Research 25, s3 (2018): 5–12. http://dx.doi.org/10.2478/pomr-2018-0106.

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Abstract To realize “seamless” connection of ocean port container multimodal transport, efficiently carry out “door-to-door” transport of ocean port containers and overcome the shortcomings of existing highway and railway vehicles, this study takes the standard for heavy-duty container vehicles in TB1335-1996 Railway Vehicle Strength Design and Test Identification Code as the design basis and designs a new ocean port container transport vehicle in combination with automatic guidance technology. This study innovatively designs the automatic lifting system of the bogie and the docking part of the vehicle, introduces the automatic guidance technology and the remote-control technology to optimize the car body structure, and uses the SAP software to carry out the finite element analysis of the car body load capacity and Flexsim software to carry out the simulation analysis on the operation of vehicles. The designed transfer vehicle can improve the transfer efficiency of ocean port containers, reduce the transit time of field and station equipment and container transport links, and improve the level of multimodal transport and comprehensive economic benefits.

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Hansen, Anders E., Jonas R. Henriksen, Rasmus I. Jølck, et al. "Multimodal soft tissue markers for bridging high-resolution diagnostic imaging with therapeutic intervention." Science Advances 6, no. 34 (2020): eabb5353. http://dx.doi.org/10.1126/sciadv.abb5353.

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Diagnostic imaging often outperforms the surgeon’s ability to identify small structures during therapeutic procedures. Smart soft tissue markers that translate the sensitivity of diagnostic imaging into optimal therapeutic intervention are therefore highly warranted. This paper presents a unique adaptable liquid soft tissue marker system based on functionalized carbohydrates (Carbo-gel). The liquid state of these markers allows for high-precision placement under image guidance using thin needles. Based on step-by-step modifications, the image features and mechanical properties of markers can be optimized to bridge diagnostic imaging and specific therapeutic interventions. The performance of Carbo-gel is demonstrated for markers that (i) have radiographic, magnetic resonance, and ultrasound visibility; (ii) are palpable and visible; and (iii) are localizable by near-infrared fluorescence and radio guidance. The study demonstrates encouraging proof of concept for the liquid marker system as a well-tolerated multimodal imaging marker that can improve image-guided radiotherapy and surgical interventions, including robotic surgery.

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Song, Aixia, Jing Chen, Yan Sun, et al. "The Effect of Intravenous Thrombolysis on Transient Ischemic Attack and Cerebral Infarction Patients Under the Guidance of Multimodal Magnetic Resonance Imaging." Journal of Medical Imaging and Health Informatics 11, no. 2 (2021): 590–94. http://dx.doi.org/10.1166/jmihi.2021.3324.

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Objective: To investigate the clinical effects of intravenous thrombolysis in the treatment of TIA (Transient Ischemic Attack) and cerebral infarction with multimodal MRI (magnetic resonance imaging), and to provide a reference for clinical diagnosis and treatment. Methods: Patients with acute cerebral infarction diagnosed and treated with intravenous thrombolysis were enrolled in the study. Multimodal MRI was performed to determine the location and type of cerebral infarction. Based on routine treatment and care, the rt-PA (Recombinant Tissue Plasminogen Activator) intravenous thrombolytic therapy was applied. The NIHSS (National Institutes of Health Stroke Scale) scores of patients before and after treatment were evaluated and compared to analyze the neurological prognosis. Results: The NIHSS scores after treatment were significantly lower than those before treatment, and the neurological prognosis was good. Three different forms of ACVS (asymmetric cortical venous signs) after treatment could be observed by SWI (drug-sensitive weighted imaging) images, which could help to assess the prognosis. Conclusion: Multimodal MRI could evaluate the type and severity of acute cerebral infarction. The rt-PA intravenous thrombolytic therapy could effectively promote the recovery of neurological functions in patients with cerebral infarction, which was worthy of clinical promotion.

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Lake, Alfred PJ. "Intravenous Regional Sympathetic Block: Past, Present and Future?" Pain Research and Management 9, no. 1 (2004): 35–37. http://dx.doi.org/10.1155/2004/657141.

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Intravenous regional sympathetic block is a valued component of the pain clinician's armamentarium for the management of the complex regional pain syndrome type 1. Treatment of this multifaceted condition is multimodal, and despite a lack of convincing supporting evidence from clinical trials, the author makes the case for retaining the technique while recommending both appropriate guidance and further study.

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van der Bom, Imramsjah M. J., Richard P. Moser, Guanping Gao, Miguel Sena-Esteves, Neil Aronin, and Matthew J. Gounis. "Frameless multimodal image guidance of localized convection-enhanced delivery of therapeutics in the brain." Journal of NeuroInterventional Surgery 5, no. 1 (2011): 69–72. http://dx.doi.org/10.1136/neurintsurg-2011-010170.

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38

Kim, Haemin, and Jin Ho Chang. "Multimodal photoacoustic imaging as a tool for sentinel lymph node identification and biopsy guidance." Biomedical Engineering Letters 8, no. 2 (2018): 183–91. http://dx.doi.org/10.1007/s13534-018-0068-1.

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Fu, Jun, Weisheng Li, Aijia Ouyang, and Baiqing He. "Multimodal biomedical image fusion method via rolling guidance filter and deep convolutional neural networks." Optik 237 (July 2021): 166726. http://dx.doi.org/10.1016/j.ijleo.2021.166726.

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Dowling, Richard G., Douglas McLeod, Martin Guttenplan, and John D. Zegeer. "Multimodal Corridor Level-of-Service Analysis." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (2002): 1–6. http://dx.doi.org/10.3141/1802-01.

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The 2000 release of the Highway Capacity Manual (HCM) provides for the first time a corridor analysis method that guides users in the application of various chapters of the HCM to the analysis of automobiles and transit in a corridor. Together with the recent publication of the Transit Capacity and Quality of Service Manual (TCQSM), the HCM 2000 represents a significant advance in the direction of multimodal level-of-service (LOS) analysis. However, relatively little guidance is given in either the HCM or the TCQSM on the compilation of automobile and transit segment levels of service into a measure of corridor level of service. In addition, bicycles and pedestrians are ignored in the corridor methodology. A methodology was developed and tested in Florida for measuring and reporting the user-perceived quality of service for highway corridors from a multimodal perspective. Automobile and transit LOS analyses are based on the HCM 2000 and TCQSM, respectively. Bicycle and pedestrian levels of service are based on the bicycle and pedestrian LOS models, respectively. Four classes of corridors are recommended, and the methodology was tested on two classes of urban corridors, with and without a freeway. The methodology is applied in three steps: ( a) corridor definition, ( b) computation of modal level of service, and ( c) reporting of results. The methodology was applied to six case studies throughout Florida at generalized and conceptual planning levels. Conclusions about the methodology were drawn from the case studies; the main conclusion is that the methodology provided a reliable overall indicator of corridor level of service by mode.

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Kengpol, Athakorn, Sopida Tuammee, and Markku Tuominen. "The development of a framework for route selection in multimodal transportation." International Journal of Logistics Management 25, no. 3 (2014): 581–610. http://dx.doi.org/10.1108/ijlm-05-2013-0064.

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Purpose – The purpose of this paper is to develop a framework for route selection in multimodal transportation which can reduce cost, lead time, risk and CO2 emission in multimodal transportation systems. Design/methodology/approach – This research proposes the development of a framework for route selection in multimodal transportation that includes a six-phase framework to select an optimal multimodal transportation route. The first phase is to collect the data of each route and select the origin and destination. The second phase is to calculate time and cost of each route by using a multimodal transport cost-model. In the third phase, the CO2 emissions are calculated based upon the 2006 guidelines of Intergovernmental Panel on Climate Change. The fourth phase proposes an integrated quantitative risk assessment, analytic hierarchy process (AHP) and data envelopment analysis methodology to evaluate the multimodal transportation risk. The fifth phase is to prioritize criteria by using the AHP which can be used in the objective function. The final phase is to calculate the optimal route by using the zero-one goal programming. Findings – The aims of the model are to minimize transportation costs, transportation time, risk and CO2 emission. Practical implications – The approach has been tested on a realistic multimodal transportation service, originating from Bangkok in Thailand to a destination at Da Nang port in Vietnam. The results have shown that the approach can provide guidance in choosing the lowest cost route in accordance with other criteria, and to minimize the CO2 emission effectively. Originality/value – The contribution of this research lies in the development of a new decision support approach that is flexible and applicable to logistics service providers, in selecting multimodal transportation route under the multi-criteria in term of cost, time, risk and importantly the environmental impact.

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Meng, Meng, Chunfu Shao, Yiik Diew Wong, and Jie Zhang. "A Multiclass, Multimodal Dynamic Traffic Assignment Model with Departure Time." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/812614.

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The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of the departure time choice problem. Travelers choose the departure time and the route simultaneously with a Logit-based structure. The route travel cost is a summation of travel time and schedule delay which is associated with arrival time at destination. In addition, the travelers are classified into three groups according to their value of time. A variational inequality (VI) formulation is proposed based on the equilibrium conditions. Two examples are given to testify the effectiveness of the model and the solution algorithm. The model can give the optimal travel route as well as the best departure time, which would contribute to traffic control and dynamic route guidance.

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Anderson, Kate T., and Dani Kachorsky. "Assessing students’ multimodal compositions: an analysis of the literature." English Teaching: Practice & Critique 18, no. 3 (2019): 312–34. http://dx.doi.org/10.1108/etpc-11-2018-0092.

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Purpose This article presents an analysis of empirical literature on classroom assessment of students’ multimodal compositions to characterize the field and make recommendations for teachers and researchers. Design/methodology/approach An interpretive synthesis of the literature related to practices and possibilities for assessing students’ multimodal compositions. Findings Findings present three overarching types of studies across the body of literature on assessment of student multimodal compositions: reshaping educational practices, promoting multiliteracies approaches to learning and evaluating students’ understanding and competence. These studies’ recommendations range along a continuum of more to less structural changes to “what counts” in classrooms. Research limitations/implications This review only considers studies published in English from 2000to 2019. Future studies could extend these parameters. Practical implications This analysis of the literature on assessing student multimodal compositions highlights foundational differences across studies’ purposes and offers guidance for educations seeking to revise their practices, whether their goals are more theoretical/philosophical, oriented toward reshaping classroom practice or focused on ways of measuring student understanding. Social implications Rethinking assessment can reshape educational practices to be more equitable, more theoretically commensurate with teachers’ beliefs and/or include more thorough and accurate measures of student understanding. Changes to any or all of these facets of educational practices can lead to continued discussion and change regarding the role of multimodal composition in teaching and learning. Originality/value This study fills a gap in the literature by considering what empirical studies suggest about why, how and what to assess with regard to multimodal compositions.

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Elkeshreu, Husein, and Otman Basir. "Algorithm Selection in Multimodal Medical Image Registration." IRA-International Journal of Applied Sciences (ISSN 2455-4499) 14, no. 2 (2020): 10. http://dx.doi.org/10.21013/jas.v14.n2.p1.

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Over the past few decades, fast<strong>-</strong>growth has occurred in the area of medical image acquisition devices, and physicians now rely on the utilization of medical images for the diagnosis, treatment plans, and surgical guidance. Researchers have classified medical images according to two structures: anatomical and functional structures. Due to this classification, the data obtained from two or more images of the same object frequently provide complementary and more abundant information through a process known as multimodal medical model registration. Image registration is spatially mapping the coordinate system of the two images obtained from a different viewpoint and utilizing various sensors. Several automatic multimodal medical image registration algorithms have been introduced based on types of medical images and their applications to increase the reliability, robustness, and accuracy. Due to the diversity in imaging and the different demands<strong> </strong>for applications, there is no single registration algorithm that can do that. This paper introduces a novel method for developing a multimodal medical image registration system that can select the most accepted registration algorithm from a group of registration algorithms for a variety of input datasets. The method described here is based on a machine learning technique that selects the most promising candidate. Several experiments have been conducted, and the results reveal that the novel approach leads to considerably faster reliability, accuracy, and more robustness registration algorithm selection.

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Liss, Michael A., Sean P. Stroup, Zhengtao Qin, et al. "Robotic-assisted Fluorescence Sentinel Lymph Node Mapping Using Multimodal Image Guidance in an Animal Model." Urology 84, no. 4 (2014): 982.e9–982.e14. http://dx.doi.org/10.1016/j.urology.2014.06.021.

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Lin, Qing, and Youngjoon Han. "A Context-Aware-Based Audio Guidance System for Blind People Using a Multimodal Profile Model." Sensors 14, no. 10 (2014): 18670–700. http://dx.doi.org/10.3390/s141018670.

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Popovic, K., and M. Williams. "WE-C-217BCD-01: Development of an Integrated Multimodal Imaging System (IMIS) for Surgical Guidance." Medical Physics 39, no. 6Part27 (2012): 3949. http://dx.doi.org/10.1118/1.4736117.

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Yuviler-Gavish, Nirit, Eldad Yechiam, and Arava Kallai. "Learning in multimodal training: Visual guidance can be both appealing and disadvantageous in spatial tasks." International Journal of Human-Computer Studies 69, no. 3 (2011): 113–22. http://dx.doi.org/10.1016/j.ijhcs.2010.11.005.

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Baumeyer, J., S. Miossec, C. Novales, G. Poisson, P. Vieyres, and S. Pinault. "P9. Haptic multimodal assessment of robot manual guidance for patient pre-positioning in proton therapy." Physica Medica 32 (December 2016): 370–71. http://dx.doi.org/10.1016/j.ejmp.2016.11.021.

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Kjällander, Susanne. "Contradictory Explorative Assessment. Multimodal Teacher/Student Interaction in Scandinavian Digital Learning Environments." Journal of Education and Training Studies 6, no. 2 (2018): 133. http://dx.doi.org/10.11114/jets.v6i2.2958.

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Assessment in the much-discussed digital divide in Scandinavian technologically advanced schools, is the study object of this article. Interaction is studied to understand assessment; and to see how assessment can be didactically designed to recognise students´ learning. With a multimodal, design theoretical perspective on learning teachers’ and students’ modes are documented and analysed. Illustrated in the article, is how the subject design aims at an expert level, while formative assessment aims at a novice level leaving students without adequate guidance. Despite this, summative assessment aims at an expert level and is at times contradictory. A concluding suggestion is that assessment in a digital learning environment can be designed exploratory to encompass students’ new knowledge and to embrace their multimodal signs of learning, or much of what is learned will be ignored.

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