Статті в журналах: "Multimodal information system"

1

Stock, Oliviero, Carlo Strapparava, and Massimo Zancanaro. "Multimodal Information Exploration." Journal of Educational Computing Research 17, no. 3 (October 1997): 277–95. http://dx.doi.org/10.2190/9g6k-ca95-uheb-3m4d.

Повний текст джерела

Анотація:

Exploration is a fundamental aspect of learning. In computer-based systems, advanced interfaces to a rich information space can become a key element in this connection. Tools adaptable to different modes of exploring information and to the characteristics of different users are needed. In this article, the integration of hypermedia and natural language dialogue are discussed and reference is made to ALFRESCO, a natural language-centered multimodal system developed at IRST. The discussion is mainly focused on the role and the structure of the communicative context.

Стилі APA, Harvard, Vancouver, ISO та ін.

2

Filippova, N. A. "INFORMATION SUPPORT TRANSPORTATION PROCESS MULTIMODAL SYSTEM." Krasnoyarsk Science, no. 1 (February 14, 2015): 8. http://dx.doi.org/10.12731/2070-7568-2015-1-8-25.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

3

Zografos, Konstantinos, Vassilis Spitadakis, and Konstantinos Androutsopoulos. "Integrated Passenger Information System for Multimodal Trip Planning." Transportation Research Record: Journal of the Transportation Research Board 2072, no. 1 (January 2008): 20–29. http://dx.doi.org/10.3141/2072-03.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

4

Mouskos, Kyriacos C., and Joshua Greenfeld. "A GIS-Based Multimodal Advanced Traveler Information System." Computer-Aided Civil and Infrastructure Engineering 14, no. 4 (July 1999): 267–79. http://dx.doi.org/10.1111/0885-9507.00147.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

5

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.

Повний текст джерела

Анотація:

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%.

Стилі APA, Harvard, Vancouver, ISO та ін.

6

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.

Повний текст джерела

Анотація:

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%.

Стилі APA, Harvard, Vancouver, ISO та ін.

7

Rajagopal, Gayathri, and Ramamoorthy Palaniswamy. "Performance Evaluation of Multimodal Multifeature Authentication System UsingKNN Classification." Scientific World Journal 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/762341.

Повний текст джерела

Анотація:

This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature level fusion to achieve better performance. The main aim of the proposed system is to increase the recognition accuracy using feature level fusion. The features at the feature level fusion are raw biometric data which contains rich information when compared to decision and matching score level fusion. Hence information fused at the feature level is expected to obtain improved recognition accuracy. However, information fused at feature level has the problem of curse in dimensionality; here PCA (principal component analysis) is used to diminish the dimensionality of the feature sets as they are high dimensional. The proposed multimodal results were compared with other multimodal and monomodal approaches. Out of these comparisons, the multimodal multifeature palmprint iris fusion offers significant improvements in the accuracy of the suggested multimodal biometric system. The proposed algorithm is tested using created virtual multimodal database using UPOL iris database and PolyU palmprint database.

Стилі APA, Harvard, Vancouver, ISO та ін.

8

Choi, Hyunsoek, and Hyeyoung Park. "A Multimodal User Authentication System Using Faces and Gestures." BioMed Research International 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/343475.

Повний текст джерела

Анотація:

As a novel approach to perform user authentication, we propose a multimodal biometric system that uses faces and gestures obtained from a single vision sensor. Unlike typical multimodal biometric systems using physical information, the proposed system utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed and not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password. Therefore, it can be a countermeasure when the physical information is exposed. We aim to investigate the potential possibility of using gestures as a signal for biometric system and the robustness of the proposed multimodal user authentication system. Through computational experiments on a public database, we confirm that gesture information can help to improve the authentication performance.

Стилі APA, Harvard, Vancouver, ISO та ін.

9

Eisenmann, U., R. Metzner, C. R. Wirtz, and H. Dickhaus. "Integrating multimodal information for intraoperative assistance in neurosurgery." Current Directions in Biomedical Engineering 1, no. 1 (September 1, 2015): 188–91. http://dx.doi.org/10.1515/cdbme-2015-0047.

Повний текст джерела

Анотація:

AbstractComputer-assisted planning of complex neurosurgical interventions benefits from a variety of specific functions and tools. However, commercial planning- and neuronavigation systems are rather restrictive concerning the availability of innovative methods such as novel imaging modalities, fiber tracking algorithms or electrical dipole mapping. In this respect there is a demand for modular neurosurgical planning systems offering flexible interfaces for easy enhancement. Furthermore all relevant planning information should be available within neuron-avigation. In this work we present a planning system providing these capabilities and its suitability and application in a clinical setting. Our Multimodal Planning System (MOPS 3D) offers a variety of tools such as definition of trajectories for minimally invasive surgery, segmentation of ROIs, integration of functional information from atlas maps or magnetoencephalography. It also supplies plugin interfaces for future extensions. For intraoperative application MOPS is coupled with the neuronavigation system Brainlab Vector Vision Cranial/ENT (VVC). We evaluated MOPS in the Department of Neurosurgery at the University Hospital Heidelberg. Surgical planning and navigation was performed in 5 frequently occurring clinical cases. The time necessary for planning was between 5 and 15 minutes including data import, segmentation and planning tasks. The additional information intraoperatively provided by MOPS 3D was highly appreciated by the neurosurgeons and the performance was satisfactory.

Стилі APA, Harvard, Vancouver, ISO та ін.

10

Kamio, Hiroyuki, Hiroshi Matsuura, Tsuneo Nitta, and Yasuyuki Masai. "Multimodal dialogue system MultiksDial." Systems and Computers in Japan 26, no. 11 (1995): 76–87. http://dx.doi.org/10.1002/scj.4690261107.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

11

Park, Hye Sun, and Kyong-Ho Kim. "Adaptive Multimodal In-Vehicle Information System for Safe Driving." ETRI Journal 37, no. 3 (June 1, 2015): 626–36. http://dx.doi.org/10.4218/etrij.15.0114.1104.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

12

Wang, Min, Hong Xie, Wei Gao, and Nan Sun. "Design and Implementation of Multimodal SNS Information Integration System." Applied Mechanics and Materials 719-720 (January 2015): 851–56. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.851.

Повний текст джерела

Анотація:

With the popularity of the network and mobile Internet, numerous social network platforms appeared in the world. Also, there have been a large number of users using a plurality of social network platforms at the same time. When these users use multiple social network platforms, they need to overcome many difficulties such as switching social network client applications frequently and so on. This article takes consideration of the needs of the multiple social networks’ users, proposing a solution to solve multi-barrier problem, and demonstrating the feasibility and effectiveness of the method by actual cases.

Стилі APA, Harvard, Vancouver, ISO та ін.

13

Bendriss, Sabri, and Abdellatif Benabdelhafid. "Multimodal transport information system: modelling approach for goods traceability." International Journal of Business Information Systems 7, no. 4 (2011): 365. http://dx.doi.org/10.1504/ijbis.2011.040563.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

14

Tessendorf, Bernd, Matjaz Debevc, Peter Derleth, Manuela Feilner, Franz Gravenhorst, Daniel Roggen, Thomas Stiefmeier, and Gerhard Tröster. "Design of a multimodal hearing system." Computer Science and Information Systems 10, no. 1 (2013): 483–501. http://dx.doi.org/10.2298/csis120423012t.

Повний текст джерела

Анотація:

Hearing instruments (HIs) have become context-aware devices that analyze the acoustic environment in order to automatically adapt sound processing to the user?s current hearing wish. However, in the same acoustic environment an HI user can have different hearing wishes requiring different behaviors from the hearing instrument. In these cases, the audio signal alone contains too little contextual information to determine the user?s hearing wish. Additional modalities to sound can provide the missing information to improve the adaption. In this work, we review additional modalities to sound in HIs and present a prototype of a newly developed wireless multimodal hearing system. The platform takes into account additional sensor modalities such as the user?s body movement and location. We characterize the system regarding runtime, latency and reliability of the wireless connection, and point out possibilities arising from the novel approach.

Стилі APA, Harvard, Vancouver, ISO та ін.

15

Ammour, Basma, Larbi Boubchir, Toufik Bouden, and Messaoud Ramdani. "Face–Iris Multimodal Biometric Identification System." Electronics 9, no. 1 (January 1, 2020): 85. http://dx.doi.org/10.3390/electronics9010085.

Повний текст джерела

Анотація:

Multimodal biometrics technology has recently gained interest due to its capacity to overcome certain inherent limitations of the single biometric modalities and to improve the overall recognition rate. A common biometric recognition system consists of sensing, feature extraction, and matching modules. The robustness of the system depends much more on the reliability to extract relevant information from the single biometric traits. This paper proposes a new feature extraction technique for a multimodal biometric system using face–iris traits. The iris feature extraction is carried out using an efficient multi-resolution 2D Log-Gabor filter to capture textural information in different scales and orientations. On the other hand, the facial features are computed using the powerful method of singular spectrum analysis (SSA) in conjunction with the wavelet transform. SSA aims at expanding signals or images into interpretable and physically meaningful components. In this study, SSA is applied and combined with the normal inverse Gaussian (NIG) statistical features derived from wavelet transform. The fusion process of relevant features from the two modalities are combined at a hybrid fusion level. The evaluation process is performed on a chimeric database and consists of Olivetti research laboratory (ORL) and face recognition technology (FERET) for face and Chinese academy of science institute of automation (CASIA) v3.0 iris image database (CASIA V3) interval for iris. Experimental results show the robustness.

Стилі APA, Harvard, Vancouver, ISO та ін.

16

AKDENİZ, Gülsüm, İbrahim ATLI, and Fatih Vehbi ÇELEBİ. "Multimodal medical imaging repository and information system in epilepsy surgery." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26 (2018): 50–57. http://dx.doi.org/10.3906/elk-1604-429.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

17

Demner-Fushman, Dina, Sameer Antani, Matthew Simpson, and George R. Thoma. "Design and Development of a Multimodal Biomedical Information Retrieval System." Journal of Computing Science and Engineering 6, no. 2 (June 30, 2012): 168–77. http://dx.doi.org/10.5626/jcse.2012.6.2.168.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

18

Zhang, Jianwei, Theo Arentze, and Harry Timmermans. "A Multimodal Transport Network Model for Advanced Traveler Information System." Journal of Ubiquitous Systems and Pervasive Networks 4, no. 1 (March 21, 2012): 21–27. http://dx.doi.org/10.5383/juspn.04.01.004.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

19

Mobile Computing, Wireless Communications and. "Retracted: Multimodal Emotion Recognition Algorithm for Artificial Intelligence Information System." Wireless Communications and Mobile Computing 2023 (January 21, 2023): 1. http://dx.doi.org/10.1155/2023/9761435.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

20

S, Shyriaieva. "FACTORS AFFECTING THE FORMATION AND DEVELOPMENT OF THE MULTIMODALINE TRANSPORT SYSTEM OF UKRAINE IN MODERN CONDITIONS." National Transport University Bulletin 1, no. 46 (2020): 446–54. http://dx.doi.org/10.33744/2308-6645-2020-1-46-446-454.

Повний текст джерела

Анотація:

The article deals with the main factors influencing the formation and development of the multimodal transport system of Ukraine in modern conditions. The object of the research is the process of formation of the domestic multimodal transport system. The purpose of the work is to determine the necessary measures for the formation of the multimodal transport system of Ukraine. In Ukraine, multimodal transportation is at the initial stage of development. Among the main factors hindering the formation and development of multimodal transport systems in Ukraine, is the imperfection of regulatory legal regulation of multimodal transport issues; absence of own environmentally friendly rolling stock of different types of transport, especially on road transport, which carries out transportation on long distances; imbalance between levels of capacity of objects of multimodal transport infrastructure and volumes of cargo flows; high risks of multimodal carriers at significant distances with two or more modes of transport; political situation in Ukraine; information provision of all parts of the multimodal logistics chain, etc. To solve these problems, measures have been proposed that will allow the formation and development of the multimodal transport system of Ukraine. The results of the work can be applied for the formation of a national multimodal transport system. Foreseeable assumptions about the development of the research object - the study of the components of the multimodal transport system. KEYWORDS: MULTIMODAL TRANSPORTATION, MULTIMODALINE TRANSPORTATION SYSTEM

Стилі APA, Harvard, Vancouver, ISO та ін.

21

Pathak, Mrunal. "Multimodal Biometric Authentication for Smartphones." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1559–68. http://dx.doi.org/10.22214/ijraset.2021.39569.

Повний текст джерела

Анотація:

Abstract: Smartphones have become a crucial way of storing sensitive information; therefore, the user's privacy needs to be highly secured. This can be accomplished by employing the most reliable and accurate biometric identification system available currently which is, Eye recognition. However, the unimodal eye biometric system is not able to qualify the level of acceptability, speed, and reliability needed. There are other limitations such as constrained authentication in real time applications due to noise in sensed data, spoof attacks, data quality, lack of distinctiveness, restricted amount of freedom, lack of universality and other factors. Therefore, multimodal biometric systems have come into existence in order to increase security as well as to achieve better performance.[1] This paper provides an overview of different multimodal biometric (multibiometric) systems for smartphones being employed till now and also proposes a multimodal biometric system which can possibly overcome the limitations of the current biometric systems. Keywords: Biometrics, Unimodal, Multimodal, Fusion, Multibiometric Systems

Стилі APA, Harvard, Vancouver, ISO та ін.

22

Firdaus, Mauajama, Nidhi Thakur, and Asif Ekbal. "Aspect-Aware Response Generation for Multimodal Dialogue System." ACM Transactions on Intelligent Systems and Technology 12, no. 2 (March 2021): 1–33. http://dx.doi.org/10.1145/3430752.

Повний текст джерела

Анотація:

Multimodality in dialogue systems has opened up new frontiers for the creation of robust conversational agents. Any multimodal system aims at bridging the gap between language and vision by leveraging diverse and often complementary information from image, audio, and video, as well as text. For every task-oriented dialog system, different aspects of the product or service are crucial for satisfying the user’s demands. Based upon the aspect, the user decides upon selecting the product or service. The ability to generate responses with the specified aspects in a goal-oriented dialogue setup facilitates user satisfaction by fulfilling the user’s goals. Therefore, in our current work, we propose the task of aspect controlled response generation in a multimodal task-oriented dialog system. We employ a multimodal hierarchical memory network for generating responses that utilize information from both text and images. As there was no readily available data for building such multimodal systems, we create a Multi-Domain Multi-Modal Dialog (MDMMD++) dataset. The dataset comprises the conversations having both text and images belonging to the four different domains, such as hotels, restaurants, electronics, and furniture. Quantitative and qualitative analysis on the newly created MDMMD++ dataset shows that the proposed methodology outperforms the baseline models for the proposed task of aspect controlled response generation.

Стилі APA, Harvard, Vancouver, ISO та ін.

23

Rolls, E. T. "Information processing in the taste system of primates." Journal of Experimental Biology 146, no. 1 (September 1, 1989): 141–64. http://dx.doi.org/10.1242/jeb.146.1.141.

Повний текст джерела

Анотація:

1. Analysis of the activity of single neurones in the gustatory pathways in primates (cynomolgus monkeys) shows that the tuning of neurones to the four prototypical stimuli 1.0 mol l-1 glucose, 1.0 mol l-1 NaCl, 0.001 mol l-1 quinine-HCl and 0.01 mol l-1 HCl becomes sharper as information progresses through the taste system from the first central relay in the brainstem, the nucleus of the solitary tract, via the thalamus to the primary taste cortex in the frontal operculum and insula to reach a secondary cortical taste area in the caudolateral orbitofrontal cortex. 2. Feeding monkeys to satiety with glucose has no effect on the gustatory responses of neurones in the nucleus of the solitary tract, the frontal opercular taste cortex or the insular taste cortex, but decreases the magnitude of the neuronal responses of orbitofrontal cortex taste neurones which respond to glucose to zero. 3. The responses of orbitofrontal cortex taste neurones decrease to foods on which the monkey is fed to satiety, but continue to foods which have not just been eaten, that is, they reflect sensory-specific satiety, the phenomenon in which the pleasantness of the taste of a food and its acceptability, but not those of of other foods, is decreased by eating that food to satiety. 4. It has been found that the orbitofrontal cortex taste area or areas receives inputs from different modalities: single neurones with unimodal responses to taste (47%), olfactory (12%) and visual (10%) stimuli are found in close proximity to each other. Moreover, some single neurones show multimodal convergence, responding, for example, to taste and visual inputs (17%), taste and olfactory inputs (10%), and olfactory and visual inputs (4%). Some of these multimodal single neurones have corresponding sensitivities in the two modalities: they respond best to sweet tastes (e.g. 1 mol l-1 glucose), and respond more in a visual discrimination task to the visual stimulus which signifies sweet fruit juice than to that which signifies saline; or they respond to sweet taste and, in an olfactory discrimination task, to fruit juice odour. These results suggest that multimodal representations are formed in the orbitofrontal cortex secondary and related taste areas.(ABSTRACT TRUNCATED AT 400 WORDS)

Стилі APA, Harvard, Vancouver, ISO та ін.

24

Mu, Yongheng, and Yun Wu. "Multimodal Movie Recommendation System Using Deep Learning." Mathematics 11, no. 4 (February 10, 2023): 895. http://dx.doi.org/10.3390/math11040895.

Повний текст джерела

Анотація:

Recommendation systems, the best way to deal with information overload, are widely utilized to provide users with personalized content and services with high efficiency. Many recommendation algorithms have been researched and deployed extensively in various e-commerce applications, including the movie streaming services over the last decade. However, sparse data cold-start problems are often encountered in many movie recommendation systems. In this paper, we reported a personalized multimodal movie recommendation system based on multimodal data analysis and deep learning. The real-world MovieLens datasets were selected to test the effectiveness of our new recommendation algorithm. With the input information, the hidden features of the movies and the users were mined using deep learning to build a deep-learning network algorithm model for training to further predict movie scores. With a learning rate of 0.001, the root mean squared error (RMSE) scores achieved 0.9908 and 0.9096 for test sets of MovieLens 100 K and 1 M datasets, respectively. The scoring prediction results show improved accuracy after incorporating the potential features and connections in multimodal data with deep-learning technology. Compared with the traditional collaborative filtering algorithms, such as user-based collaborative filtering (User-CF), item-based content-based filtering (Item-CF), and singular-value decomposition (SVD) approaches, the multimodal movie recommendation system using deep learning could provide better personalized recommendation results. Meanwhile, the sparse data problem was alleviated to a certain degree. We suggest that the recommendation system can be improved through the combination of the deep-learning technology and the multimodal data analysis.

Стилі APA, Harvard, Vancouver, ISO та ін.

25

Fu, Xiao Feng, Juan Zhang, and Pei Hua Sun. "Reseach on Multimodal Logistics Emergency Decision System Based on GIS." Applied Mechanics and Materials 178-181 (May 2012): 2599–603. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2599.

Повний текст джерела

Анотація:

In order to reduce the loss of multimodal transport logistics , ensure the efficient, safe, realize the emergency state unified command, information sharing, coordination, rapid rescue, the study established the multimodal transport logistics emergency decision-making function modules, researched and developed application system of emergency decision based on GIS+GPS, and VC# technologies.The system is easy to use, compatibility, strong practicability, it can provide technical support and application value for multimodal logistics emergency rescue.

Стилі APA, Harvard, Vancouver, ISO та ін.

26

Firdaus, Mauajama, Arunav Pratap Shandeelya, and Asif Ekbal. "More to diverse: Generating diversified responses in a task oriented multimodal dialog system." PLOS ONE 15, no. 11 (November 5, 2020): e0241271. http://dx.doi.org/10.1371/journal.pone.0241271.

Повний текст джерела

Анотація:

Multimodal dialogue system, due to its many-fold applications, has gained much attention to the researchers and developers in recent times. With the release of large-scale multimodal dialog dataset Saha et al. 2018 on the fashion domain, it has been possible to investigate the dialogue systems having both textual and visual modalities. Response generation is an essential aspect of every dialogue system, and making the responses diverse is an important problem. For any goal-oriented conversational agent, the system’s responses must be informative, diverse and polite, that may lead to better user experiences. In this paper, we propose an end-to-end neural framework for generating varied responses in a multimodal dialogue setup capturing information from both the text and image. Multimodal encoder with co-attention between the text and image is used for focusing on the different modalities to obtain better contextual information. For effective information sharing across the modalities, we combine the information of text and images using the BLOCK fusion technique that helps in learning an improved multimodal representation. We employ stochastic beam search with Gumble Top K-tricks to achieve diversified responses while preserving the content and politeness in the responses. Experimental results show that our proposed approach performs significantly better compared to the existing and baseline methods in terms of distinct metrics, and thereby generates more diverse responses that are informative, interesting and polite without any loss of information. Empirical evaluation also reveals that images, while used along with the text, improve the efficiency of the model in generating diversified responses.

Стилі APA, Harvard, Vancouver, ISO та ін.

27

Martínez del Horno, Miguel, Luis Orozco-Barbosa, and Ismael García-Varea. "A smartphone-based multimodal indoor tracking system." Information Fusion 76 (December 2021): 36–45. http://dx.doi.org/10.1016/j.inffus.2021.05.001.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

28

Ponomarev, M. L., N. A. Fillipova, A. Yu Velikanov, and A. A. Neretin. "Main Factors Affecting the Multimodal Transport System." World of Transport and Transportation 19, no. 5 (July 9, 2022): 69–74. http://dx.doi.org/10.30932/1992-3252-2021-19-5-8.

Повний текст джерела

Анотація:

Optimisation of organisation of transportation technological process, in the context of digitalisation and technological progress, is currently an urgent task following its significant impact on efficiency and competitiveness of transportation business. Currently, development of the economic environment requires a significant restructuring of organisational aspect of activity of the transport industry. An efficient transport and logistics process allows us to reduce time associated with cargo handling, cargo delivery, paperwork, etc. Automated storage systems can be mounted at facilities of different area, from largest warehouses of enterprises to compact storage premises. Favourable conditions created so allow to increase attractiveness of the transport industry. Though, the full implementation of information technology requires a systematic and scientific approach to organisation of transportation. Given the trend towards growth in international container transportation, expansion of global distribution networks, as well as development of scheduled transportation systems and the length of routes, which is particularly relevant for Russia, the issue of tracking positioning and controlling over the current state of the cargo becomes an important condition for improving safety and quality of transportation. The objective of the study was to develop a systematic approach to organisation of transportation technological processes for a multimodal transport system based on information technologies. Based on the study of organisation, engineering, technological, infrastructure factors, including those related to transition to electronic document exchange and electronic cargo positioning tracking, the paper offers a basic systematisation of more promising factors. The introduction and use of innovative and effective methods of organising cargo transportation will reduce time required to process cargo transported in a container, and to promptly pass the container through control and supervisory procedures.

Стилі APA, Harvard, Vancouver, ISO та ін.

29

Karpov, A. A. "An automatic multimodal speech recognition system with audio and video information." Automation and Remote Control 75, no. 12 (December 2014): 2190–200. http://dx.doi.org/10.1134/s000511791412008x.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

30

Arora, Parul, Sandeep Bhargava, Smriti Srivastava, and Madasu Hanmandlu. "Multimodal biometric system based on information set theory and refined scores." Soft Computing 21, no. 17 (March 10, 2016): 5133–44. http://dx.doi.org/10.1007/s00500-016-2108-z.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

31

Yazici, Adnan, Murat Koyuncu, Turgay Yilmaz, Saeid Sattari, Mustafa Sert, and Elvan Gulen. "An intelligent multimedia information system for multimodal content extraction and querying." Multimedia Tools and Applications 77, no. 2 (January 31, 2017): 2225–60. http://dx.doi.org/10.1007/s11042-017-4378-6.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

32

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.

Повний текст джерела

Анотація:

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.

Стилі APA, Harvard, Vancouver, ISO та ін.

33

Fang, Xiaoping, Zhang Ji, Zhiya Chen, Weiya Chen, Chao Cao, and Jinrong Gan. "Synergy Degree Evaluation of Container Multimodal Transport System." Sustainability 12, no. 4 (February 17, 2020): 1487. http://dx.doi.org/10.3390/su12041487.

Повний текст джерела

Анотація:

Logistics activities are an important source of energy consumption and environmental issues. Research conclusions and practical experience show that promoting the development of container multimodal transport is an effective way to reduce the level of carbon footprint. The key to influencing the development of container multimodal transport lies in the cooperation of all participants and links (modes of transport, transport businesses). Evaluating the synergy degree is a key step in this development process. This paper takes the whole process of container multimodal transportation as the research perspective, analyzes the operation process, and treats the process as a production system composed of four subsystems: facilities and equipment, organizational management, business operations, and information interactions. Through in-depth interviews and an analysis of the academic literature and policy documents, we establish a synergy degree evaluation index system and measurement model of container multimodal transport based on synergy theory and case studies. The research results are consistent with the actual situation. From 2015 to 2018, the synergy of container multimodal transport system of China’s G port developed slowly, but generally moved in a more orderly direction.

Стилі APA, Harvard, Vancouver, ISO та ін.

34

Liu, Bo, Lejian He, Yafei Liu, Tianyao Yu, Yuejia Xiang, Li Zhu, and Weijian Ruan. "Transformer-Based Multimodal Infusion Dialogue Systems." Electronics 11, no. 20 (October 20, 2022): 3409. http://dx.doi.org/10.3390/electronics11203409.

Повний текст джерела

Анотація:

The recent advancements in multimodal dialogue systems have been gaining importance in several domains such as retail, travel, fashion, among others. Several existing works have improved the understanding and generation of multimodal dialogues. However, there still exists considerable space to improve the quality of output textual responses due to insufficient information infusion between the visual and textual semantics. Moreover, the existing dialogue systems often generate defective knowledge-aware responses for tasks such as providing product attributes and celebrity endorsements. To address the aforementioned issues, we present a Transformer-based Multimodal Infusion Dialogue (TMID) system that extracts the visual and textual information from dialogues via a transformer-based multimodal context encoder and employs a cross-attention mechanism to achieve information infusion between images and texts for each utterance. Furthermore, TMID uses adaptive decoders to generate appropriate multimodal responses based on the user intentions it has determined using a state classifier and enriches the output responses by incorporating domain knowledge into the decoders. The results of extensive experiments on a multimodal dialogue dataset demonstrate that TMID has achieved a state-of-the-art performance by improving the BLUE-4 score by 13.03, NIST by 2.77, image selection Recall@1 by 1.84%.

Стилі APA, Harvard, Vancouver, ISO та ін.

35

Anisimov, Vladimir, Natalya Nesterova, and Sergey Goncharuk. "DESIGNING A MULTIMODAL TRANSPORT NETWORK." Bulletin of scientific research results, no. 4 (December 17, 2017): 41–51. http://dx.doi.org/10.20295/2223-9987-2017-4-41-51.

Повний текст джерела

Анотація:

Objective: To create a methodology for designing a multimodal transport network under various scenarios of socioeconomic development of the Russian Federation and its regions which take into account the influence of factors that create initial-information indeterminacy in decisionmaking. Methods: System theory, partitioning principle, theory of sets, theory of probability and mathematical statistics, basics of information theory, graph theory and reliability theory; as well as methods of system analysis, mathematic simulation of processes and systems, mathematical logic, decision-making, dynamical programming, multi-objective optimization, economic evaluation of efficiency of design solutions were applied. Results: The authors developed and proposed a concept for designing methodology of multimodal transport networks, systemic presentation of multimodal transport networks, four-level partitioning and set-theoretical presentation of multimodal transport networks layout, mathematical simulation of multimodal transport network development strategy which takes into account the scenario of socioeconomic development of a region under study, balanced system of indices for evaluation of multimodal transport network development strategy and managing the trajectory of change of its layout and capacity in accordance with set strategic objectives, method for forming layout of multimodal transport network, method for forming a variety of possible strategies of gradual changing of layout and capacity of multimodal transport network objects, method for forming an area of efficient multimodal transport network development strategies, technology for decision-makers’ work with efficient strategy area for decision-making. Practical relevance: This methodology can be used in investment evaluation and technical and economic feasibility study of strategies of multimodal transport networks’ layout and capacity change strategies as an aggregate of multimodal transport corridors designed with the purpose of implementation of strategic tasks of development of a country’s single transport network.

Стилі APA, Harvard, Vancouver, ISO та ін.

36

Knighton, Andrew J., Pallavi Ranade-Kharkar, Kimberly D. Brunisholz, Douglas Wolfe, Lauren Allen, Thomas W. Belnap, Tamara Moores Todd, et al. "Rapid Implementation of a Complex, Multimodal Technology Response to COVID-19 at an Integrated Community-Based Health Care System." Applied Clinical Informatics 11, no. 05 (October 2020): 825–38. http://dx.doi.org/10.1055/s-0040-1719179.

Повний текст джерела

Анотація:

Abstract Background The rapid spread of severe acute respiratory syndrome coronavirus-2 or SARS-CoV-2 necessitated a scaled treatment response to the novel coronavirus disease 2019 (COVID-19). Objective This study aimed to characterize the design and rapid implementation of a complex, multimodal, technology response to COVID-19 led by the Intermountain Healthcare's (Intermountain's) Care Transformation Information Systems (CTIS) organization to build pandemic surge capacity. Methods Intermountain has active community-spread cases of COVID-19 that are increasing. We used the Centers for Disease Control and Prevention Pandemic Intervals Framework (the Framework) to characterize CTIS leadership's multimodal technology response to COVID-19 at Intermountain. We provide results on implementation feasibility and sustainability of health information technology (HIT) interventions as of June 30, 2020, characterize lessons learned and identify persistent barriers to sustained deployment. Results We characterize the CTIS organization's multimodal technology response to COVID-19 in five relevant areas of the Framework enabling (1) incident management, (2) surveillance, (3) laboratory testing, (4) community mitigation, and (5) medical care and countermeasures. We are seeing increased use of traditionally slow-to-adopt technologies that create additional surge capacity while sustaining patient safety and care quality. CTIS leadership recognized early that a multimodal technology intervention could enable additional surge capacity for health care delivery systems with a broad geographic and service scope. A statewide central tracking system to coordinate capacity planning and management response is needed. Order interoperability between health care systems remains a barrier to an integrated response. Conclusion The rate of future pandemics is estimated to increase. The pandemic response of health care systems, like Intermountain, offers a blueprint for the leadership role that HIT organizations can play in mainstream care delivery, enabling a nimbler, virtual health care delivery system that is more responsive to current and future needs.

Стилі APA, Harvard, Vancouver, ISO та ін.

37

Kim, Tae Jin, Yu Xue Piao, Chang Ho Seo, and Jeong Hyun Yi. "Automatic Email Configuration System Using Multimodal Authentication Interfaces for Smartphones." Applied Mechanics and Materials 411-414 (September 2013): 7–11. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.7.

Повний текст джерела

Анотація:

Email services are among the services most frequently utilized by smartphone users. However, setting up a smartphone email service is very frustrating for ordinary users as the process requires knowledge of complicated email server protocols and types of security. To eliminate the inconvenience, a method in which web mail setting information is preconfigured within an app has been applied to representative smartphone email accounts. However, it is not practical nor realistic to store all web mail setting information in the app; furthermore, private server setting information for schools, working areas and so on, has to be separately established by users. In this paper, we propose a system that removes these inconveniences faced when setting up smartphone email services. The proposed system automatically downloads setting information preconfigured on the email server for users.

Стилі APA, Harvard, Vancouver, ISO та ін.

38

Li, Yansong, Paula Branco, and Hanxiang Zhang. "Imbalanced Multimodal Attention-Based System for Multiclass House Price Prediction." Mathematics 11, no. 1 (December 27, 2022): 113. http://dx.doi.org/10.3390/math11010113.

Повний текст джерела

Анотація:

House price prediction is an important problem for individuals, companies, organizations, and governments. With a vast amount of diversified and multimodal data available about houses, the predictive models built should seek to make the best use of these data. This leads to the complex problem of how to effectively use multimodal data for house price prediction. Moreover, this is also a context suffering from class imbalance, an issue that cannot be disregarded. In this paper, we propose a new algorithm for addressing these problems: the imbalanced multimodal attention-based system (IMAS). The IMAS makes use of an oversampling strategy that operates on multimodal data, namely using text, numeric, categorical, and boolean data types. A self-attention mechanism is embedded to leverage the usage of neighboring information that can benefit the model’s performance. Moreover, the self-attention mechanism allows for the determination of the features that are the most relevant and adapts the weights used according to that information when performing inference. Our experimental results show the clear advantage of the IMAS, which outperforms all the competitors tested. The analysis of the weights obtained through the self-attention mechanism provides insights into the features’ relevance and also supports the importance of using this mechanism in the predictive model.

Стилі APA, Harvard, Vancouver, ISO та ін.

39

Jannin, Pierre, Xavier Morandi, Oliver J. Fleig, Elisabeth Le Rumeur, Pierre Toulouse, Bernard Gibaud, and Jean-Marie Scarabin. "Integration of sulcal and functional information for multimodal neuronavigation." Journal of Neurosurgery 96, no. 4 (April 2002): 713–23. http://dx.doi.org/10.3171/jns.2002.96.4.0713.

Повний текст джерела

Анотація:

Object. The authors present the use of cortical sulci, segmented from magnetic resonance (MR) imaging, and functional data from functional (f)MR imaging and magnetoencephalography (MEG) in the image-guided surgical management of lesions adjacent to the sensorimotor cortex. Methods. In an initial set of 11 patients, sulci near lesions were automatically segmented from MR imaging data sets, then MEG and fMR imaging examinations were performed. Relevant functional information was preoperatively interpreted and selected from MEG and fMR imaging and subsequently transferred to the navigation system for selected sulci. A neuronavigation system consisting of a surgical microscope with enhanced reality overlay display was used. Data were displayed as contours on the cut-plane images of a stereotactic workstation and as contours on the overlay screen of the head-up display within the optical path of the right eyepiece of the surgical microscope. Conclusions. This method, in which both sulcal and functional mapping are used for surgery planning and neuronavigation, provides helpful information. It is a promising procedure for the treatment of patients who harbor lesions in areas around the eloquent cortex.

Стилі APA, Harvard, Vancouver, ISO та ін.

40

Маmеdov, N. H. "Modeling an optimal supply chain management system in transport systems." Herald of Dagestan State Technical University. Technical Sciences 49, no. 3 (November 8, 2022): 82–90. http://dx.doi.org/10.21822/2073-6185-2022-49-3-82-90.

Повний текст джерела

Анотація:

Objective. The purpose of the work is to develop universal logistics approaches to modeling the optimal supply chain management system in the conditions of a multimodal service center.Method. The methodological basis of the study is theoretical and experimental research in the field of creating an effective model of supply chain management in transport systems.Result. A process approach to the strategic management of supply chains for the logistics of transport systems has been formalized, taking into account the influence of a group of factors; developed a methodology for managing relationships with suppliers, taking into account their integration in supply chain management; rational parameters for evaluating the effectiveness of the logistics management system for logistics under given working conditions were determined; a methodology has been developed for managing supply chains of logistics in the conditions of operation of a multimodal service center based on the application of the theory of experiment planning.Conclusion. Optimization of supply chain management (Supply Chain Management, SCM) allows you to effectively plan, form, control and regulate material, financial, information flows throughout the entire life cycle of goods. The resulting regression equations are recommended to be used as a mechanism for analyzing the work with the selected supplier when organizing the optimal management of supply and procurement processes in the transport system in the conditions of operation of the multimodal service center of GRAND MOTORS LLC.

Стилі APA, Harvard, Vancouver, ISO та ін.

41

Khuwaja, Gulzar A. "A MULTIMODAL BIOMETRIC IDENTIFICATION SYSTEM USING COMPRESSED FINGER IMAGES." Cybernetics and Systems 37, no. 1 (January 2006): 23–46. http://dx.doi.org/10.1080/01969720500320783.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

42

Gruhl, Daniel, Meena Nagarajan, Jan Pieper, Christine Robson, and Amit Sheth. "Multimodal social intelligence in a real-time dashboard system." VLDB Journal 19, no. 6 (December 2010): 825–48. http://dx.doi.org/10.1007/s00778-010-0207-5.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

43

Hale, Kelly S., Leah M. Reeves, Par Axelsson, and Kay M. Stanney. "Validation of Predictive Workload Component of the Multimodal Information Design Support (Mids) System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 12 (September 2005): 1162–66. http://dx.doi.org/10.1177/154193120504901214.

Повний текст джерела

Анотація:

Operators in military C4ISR environments are required to rapidly assess and respond to critical events accurately while monitoring ongoing operations. In order to assist in designing complex display systems to support C4ISR operators, it is critical to understand when and why information displayed exceeds human capacity. Common metrics for evaluating operator overload are subjective report, which rely on self-reporting techniques (e.g., NASA/TLX, SART). A new design tool, the Multimodal Information Design Support (MIDS) system, predicts times of operator overload and offers multimodal design guidelines to streamline cognitive processing, thus alleviating times of operator workload and optimizing situation awareness. This paper empirically validates MIDS” predictive power in determining situations which may cause operator overload by comparing MIDS output to subjective reports of workload and SA during C4ISR operations. Future studies will validate MIDS” design capabilities through redesign and evaluation of performance, workload and SA on the optimized C4ISR task environment.

Стилі APA, Harvard, Vancouver, ISO та ін.

44

Marchetti, Marco, Enrico Baria, Riccardo Cicchi, and Francesco Saverio Pavone. "Custom Multiphoton/Raman Microscopy Setup for Imaging and Characterization of Biological Samples." Methods and Protocols 2, no. 2 (June 20, 2019): 51. http://dx.doi.org/10.3390/mps2020051.

Повний текст джерела

Анотація:

Modern optics offers several label-free microscopic and spectroscopic solutions which are useful for both imaging and pathological assessments of biological tissues. The possibility to obtain similar morphological and biochemical information with fast and label-free techniques is highly desirable, but no single optical modality is capable of obtaining all of the information provided by histological and immunohistochemical analyses. Integrated multimodal imaging offers the possibility of integrating morphological with functional-chemical information in a label-free modality, complementing the simple observation with multiple specific contrast mechanisms. Here, we developed a custom laser-scanning microscopic platform that combines confocal Raman spectroscopy with multimodal non-linear imaging, including Coherent Anti-Stokes Raman Scattering, Second-Harmonic Generation, Two-Photon Excited Fluorescence, and Fluorescence Lifetime Imaging Microscopy. The experimental apparatus is capable of high-resolution morphological imaging of the specimen, while also providing specific information about molecular organization, functional behavior, and molecular fingerprint. The system was successfully tested in the analysis of ex vivo tissues affected by urothelial carcinoma and by atherosclerosis, allowing us to multimodally characterize of the investigated specimen. Our results show a proof-of-principle demonstrating the potential of the presented multimodal approach, which could serve in a wide range of biological and biomedical applications.

Стилі APA, Harvard, Vancouver, ISO та ін.

45

Grice, Rachel, Donald Fisher, Matthew Isaacs, and Andrew Liu. "Multimodal Displays to Reduce Distraction In Locomotive Engineers." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 2025–29. http://dx.doi.org/10.1177/1071181320641491.

Повний текст джерела

Анотація:

Multi-modal displays that allow the locomotive engineer to delay safety-critical dispatches in high workload scenarios offer the promise of reducing the cognitive distraction that occurs when the locomotive engineer must listen to a dispatcher’s communication. In an effort to determine whether locomotive engineers could delay safety-critical information from the dispatcher in high workload scenarios, we developed and evaluated such a multi-modal display system. It was hypothesized that locomotive engineers, when provided with the ability to postpone the delivery of information from the dispatcher, would perform better than locomotive engineers who were not provided that capability. Contrary to the above hypothesis, an analysis of the eye tracking measures indicated that the engineers performed more poorly in the multi-modal display system condition, indicating that the system as designed did not allow the engineer to safely delay dispatch messages. We conclude that aspects of the new system that seemed to increase distraction should be redesigned to modify how and when the engineer uses the system to access information and allow for a safe delay of safety-critical information.

Стилі APA, Harvard, Vancouver, ISO та ін.

46

Coelho, Ana, Paulo Marques, Ricardo Magalhães, Nuno Sousa, José Neves, and Victor Alves. "A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies." Inteligencia Artificial 20, no. 59 (February 6, 2017): 42. http://dx.doi.org/10.4114/intartif.vol20iss59pp42-52.

Повний текст джерела

Анотація:

Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the amount of possibly useful information. Indeed, BrainArchive was developed in order to organize, maintain and share this complex array of neuroimaging data. It stores all the information available for each participant/patient, being dynamic by nature. Notably, the application of reasoning systems to this multimodal data has the potential to provide tools for the identification of undiagnosed diseases. As a matter of fact, in this work we explore how Artificial Intelligence techniques for decision support work, namely Case-Based Reasoning (CBR) that may be used to achieve such endeavour. Particularly, it is proposed a reasoning system that uses the information stored in BrainArchive as past knowledge for the identification of individuals that are at risk of contracting some brain disease.

Стилі APA, Harvard, Vancouver, ISO та ін.

47

Li, Jing-Quan, Kun Zhou, Liping Zhang, and Wei-Bin Zhang. "A Multimodal Trip Planning System With Real-Time Traffic and Transit Information." Journal of Intelligent Transportation Systems 16, no. 2 (March 9, 2012): 60–69. http://dx.doi.org/10.1080/15472450.2012.671708.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

48

Bendriss, Sabri, and Abdellatif Benabdelhafid. "Modelling an information system for goods traceability in a multimodal transport context." International Journal of Business Performance and Supply Chain Modelling 2, no. 1 (2010): 61. http://dx.doi.org/10.1504/ijbpscm.2010.034470.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

49

Sams, Andrew Steven, and Amalia Zahra. "Multimodal music emotion recognition in Indonesian songs based on CNN-LSTM, XLNet transformers." Bulletin of Electrical Engineering and Informatics 12, no. 1 (February 1, 2023): 355–64. http://dx.doi.org/10.11591/eei.v12i1.4231.

Повний текст джерела

Анотація:

Music carries emotional information and allows the listener to feel the emotions contained in the music. This study proposes a multimodal music emotion recognition (MER) system using Indonesian song and lyrics data. In the proposed multimodal system, the audio data will use the mel spectrogram feature, and the lyrics feature will be extracted by going through the tokenizing process from XLNet. Convolutional long short term memory network (CNN-LSTM) performs the audio classification task, while XLNet transformers performs the lyrics classification task. The outputs of the two classification tasks are probability weight and actual prediction with the value of positive, neutral, and negative emotions, which are then combined using the stacking ensemble method. The combined output will be trained into an artificial neural network (ANN) model to get the best probability weight output. The multimodal system achieves the best performance with an accuracy of 80.56%. The results showed that the multimodal method of recognizing musical emotions gave better performance than the single modal method. In addition, hyperparameter tuning can affect the performance of multimodal systems.

Стилі APA, Harvard, Vancouver, ISO та ін.

50

Detti, Andrea, Giuseppe Tropea, Nicola Blefari Melazzi, Dag Kjenstad, Lukas Bach, Ivar Christiansen, and Federico Lisi. "Federation and Orchestration: A Scalable Solution for EU Multimodal Travel Information Services." Sustainability 11, no. 7 (March 29, 2019): 1888. http://dx.doi.org/10.3390/su11071888.

Повний текст джерела

Анотація:

Multimodal travel planning services allow travelers to plan their journey by combining different transport modes: air, rail, waterborne, coach, public transport, demand responsive transport, walking, cycling, etc. The European Union is fostering the development of cross-border multimodal planning services by establishing a regulation framework for their coordinated and coherent deployment across Member States (under the Directive 2010/40/EU). This EU regulation gives precise requirements on travel data formats (DATEX II, SIRI, NeTEx, etc.) and on fundamental and recommended system-level services, such as discovery and linking services. However, it does not (yet) pose constraints on how to implement them. In this paper, we devise and test a system architecture, named Bonvoyage, which proposes an innovative solution implementing such services. For discovery purposes, it federates nation-wide NoSQL databases that contain travel information by exploiting a novel telecommunication paradigm, Information Centric Networking. As regards linking purposes, it orchestrates the use of autonomous monomodal or multimodal routing services provided by small/big stakeholders to compose the best door-to-door journey.

Стилі APA, Harvard, Vancouver, ISO та ін.

Статті в журналах з теми "Multimodal information system"

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями