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检索条件"任意字段=Conference on Multimedia Content Access - Algorithms and Systems"

共 2023 条记录，以下是211-220 订阅

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The Vision of 5G and Cell-Free Communication Networks in Malaysia

The Vision of 5G and Cell-Free Communication Networks in Mal...

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International conference on Information Technology and multimedia (ICIM)

作者： Mohammed Najah Mahdi Khalid Sheikhidris Mohamed Abdul Rahim Ahmad Mohammed Ahmed Subhi Institute of Informatics and Computing in Energy Universiti Tenaga Nasional Kajang Malaysia Faculty of Engineering Multimedia University Cyberjaya Malaysia College of Computing & Informatics Universiti Tenaga Nasional Kajang Malaysia Universiti Kebangsaan Malaysia Bangi Malaysia

ISBN: (数字)9781728173108

ISBN: (纸本)9781728173115

5 G cellular networks are supposed to accommodate the ever-increasing data explosion and hyper-dense installation of base stations thanks to their capacity to leverage connectivity and cost-effectiveness. 5G networks can accommodate far more applications concurrently than the existing infrastructure easily and efficiently. This is particularly relevant in view of the fact that the Internet is going to be used by around 41.6 billion linked users by 2025. Many will require guaranteed access to cloud services to function safely, like autonomous vehicle systems and industrial sensors. Whilst 4G networks (which use the Internet Protocol and Wifi, wireless and reaction-based networking) dominated the environment of telecommunications, Artificial intelligence Technology has advanced, along with its numerous sub-categories, including machine learning and deep learning, which was ready for delivering 5G networks for individuals to tackle the decreased bandwidth capacity of 4G. This project encourages us to create location optimization technologies that chooses ideal places for services antennas, ensuring the best potential coverage and use computer training algorithms to distribute resources dynamically to minimise user interference and to save energy.

关键词： Wireless communication Training Wireless sensor networks 5G mobile communication Sensor systems Telecommunications Wireless fidelity

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The vehicle classification based on neural networks in intelligent transport systems 17

The vehicle classification based on neural networks in intel...

引用

17th IEEE International conference on Emerging eLearning Technologies and Applications, ICETA 2019

作者： Frniak, M. Kamencay, P. Markovic, M. Dubovan, J. Dado, M. University of Zilina Department of Multimedia and Information-communication Technologies Zilina Slovakia

ISBN: (纸本)9781728149677

This article is aimed to new methods of measurement, transfer and processing of data from complex system of FibreBragg Grating (FBG) sensors. State of the art technologies and algorithms for vehicle recognition and categorisation in university campus are used. content of the Article is divided into two parts. The first part is devoted to fibre optic FBG sensors and their basic properties. The second part ofarticle is dedicated to visual data processing by neural networks for visual vehicle categorisation as visual confirmation of data from the fibre Bragg grating sensor arrays. Experimental results show that using AlexNet neural network can be achieved an accuracy for categorization of vehicles of 87.1%. Research is done under the grant project dealing with coexistence of photonic sensor systems and photonic networks within the Internet of Things. © 2019 IEEE.

关键词： Vehicles

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Personalized E-Learning content Based On Felder-Silverman Learning Style Model

Personalized E-Learning Content Based On Felder-Silverman Le...

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International conference of Information and Communication Technology (ICoICT)

作者： Jeremiah Hasudungan Sihombing Kusuma Ayu Laksitowening Eko Darwiyanto School Of Computing Telkom University Bandung Indonesia

ISBN: (数字)9781728161426

ISBN: (纸本)9781728161433

A Personalization of E-learning can be done by personalize E-learning features, which are learning content and learning activities provided. In this study, E-learning content personalization was carried out based on the Felder Silverman Learning Style Model (FSLSM). FSLSM is a method of classifying learning styles into 4 dimensions, namely perception, processing, input and understanding. FSLSM classifies learning styles using the Index of Learning Styles (ILS) questionnaire, consisting of 44 questions. In the system that was built, the ILS questionnaire was digitized to map E-learning users, based on their learning style. Afterwards, content personalization algorithms were designed, so users could access content that were suitable to their learning styles while using the system, after that learning content was designed for each dimension of the FSLSM with ADDIE modelling, which was the stage for creating E-learning content. To test the designed algorithm, Delphi method was used, which is a method that collects expert opinion on a problem. For system test, System Usability Scale (SUS) method was used to measure acceptance of user. The results of this research, getting agreement on the accuracy of the design of content personalization algorithms from 3 E-learning experts, the system that was built got SUS 75.33 which was acceptable with grade B, means the system was accepted as a learning tools to help them in learning process based on SUS assessment.

关键词： Electronic learning Usability Adaptation models Learning systems Tools Organizations

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Remodeling Numerical Representation for Text Generation on Small Corpus: A Syntactical Analysis 19

Remodeling Numerical Representation for Text Generation on S...

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Proceedings of the 2019 2nd International conference on algorithms, Computing and Artificial Intelligence

作者： Aristotle Tan Hui-Ngo Goh Lai-Kuan Wong Multimedia University Cyberjaya Malaysia

ISBN: (纸本)9781450372619

Data-to-text generation aims to generate natural language descriptions from non-linguistic data. Recent research on data-to-text generation often uses a neural encoder-decoder architecture due to its simplicity to work across multiple domain. In this study, we aim to investigate two input encoding strategies: (1) numeral encoding as baseline, and (2) numeral as sequence-of-character tokens as proposed solution in financial data-to-text systems. An empirical study on the financial dataset validates our initial hypothesis that the character-based representation performs comparable results in content selection and diversity towards the generated text descriptions.

关键词： Data-to-Text

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Remodeling numerical representation for text generation on small corpus: A syntactical analysis 2

Remodeling numerical representation for text generation on s...

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2nd International conference on algorithms, Computing and Artificial Intelligence, ACAI 2019

作者： Tan, Aristotle Goh, Hui-Ngo Wong, Lai-Kuan Multimedia University Faculty of Com. and informatics Cyberjaya63100 Malaysia

ISBN: (纸本)9781450372619

关键词： Signal encoding

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Development of Automatic Evaluation Tool for Mobile accessibility for Android Application 4

Development of Automatic Evaluation Tool for Mobile Accessib...

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4th International conference on systems of Collaboration Big Data, Internet of Things & Security (SysCoBIoTS)

作者： Park, Eunju Han, Sungjun Bae, Hogon Kim, Raekyung Lee, Seungjae Lim, Daejune Lim, Hankyu Andong Natl Univ Dept Multimedia Engn Andong South Korea NEXT Story Inc Gumi South Korea

ISBN: (纸本)9781728142166

As the number of mobile services grows, mobile users who gain access to the Internet via mobile devices are increasing. accessibility refers to providing functionality to smart phone apps (and web) so that all human can access contents/service/products on the Internet regardless their age and disability. accessibility support is essential for mobile users owing to the unique nature and capabilities of mobile devices, such as smaller screens, touch and gesture interface, and built-in screen readers specific to operating systems. The latest mobile device usage statistics showed that between the two different mobile channels, mobile apps and mobile webs, consumers spend most of their time in mobile apps. accessibility of apps in a smartphone is more important than ever as more people use a smartphone apps to consume content/ service/ product on the Internet. Automated tools for mobile apps that evaluate compliance with accessibility standards are still scarce. This makes it difficult for developers who are unfamiliar with accessibility needs to ensure their apps are accessible by everyone. While the prototype does not include all the functions, it demonstrates that it is feasible to develop a full version of an automatic assessment tool for smartphone apps, which is an under-researched area. This paper designs an accessibility evaluation tool that checks mobile apps for conformance with accessibility standards, and develops a prototype of the evaluation tool. The proposed tool verifies the existence (or nonexistence) of alternative text for non-text content, which is an important accessibility factor for visually impaired users. It discovers missing alternative text by checking the contentDescription attribute of the ImageView element in Android XML files.

关键词： accessibility Evaluation Method accessibility Evaluation Tool Mobile accessibility Usability Web accessibility

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Evolvable Media Repositories: An Evolutionary System to Retrieve and Ever-Renovate Related Media Web content 1

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Computing conference, 2019

作者： Koutsomichalis, Marinos Gambäck, Björn Department of Multimedia and Graphic Arts Cyprus University of Technology P.O. Box 50329 Limassol3036 Cyprus Department of Computer Science Norwegian University of Science and Technology Sem Saelands vei 9 Trondheim7034 Norway

ISBN: (数字)9783030228682

ISBN: (纸本)9783030228675

The paper tackles the question of evolvable media repositories, i.e., local pools of media files that are retrieved over the Internet and that are ever-renovated with new, related files in an evolutionary fashion. The herein proposed method encodes genotypic space by virtue of simple undirected graphs of natural language tokens that represent web queries without employing fitness functions or other evaluation/selection schemata. Once a first population is seeded, a series of modular crawlers query the particular World Wide Web repositories of interest for both media content and assorted meta-data. Then, a series of attached intelligent comprehenders analyse the retrieved content in order to eventually generate new genetic representations, and the cycle is repeated. Such a method is generic, scalable and modular, and can be made fit the purposes of a wide array of applications in all sorts of disparate contextual and functional scenarios. The paper features a formal description of the method, gives implementation guidelines, and presents example usages. © 2019, Springer Nature Switzerland AG.

关键词： Genetic algorithms

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content-based retrieval of bio-images using pivot-based indexing 2nd

Content-based retrieval of bio-images using pivot-based inde...

引用

2nd International conference of the series Soft Computing: Theories and Applications, SoCTA 2017

作者： Srivastava, Meenakshi Singh, S.K. Abbas, S.Q. Amity Institute of Information Technology Amity University NoidaUttar Pradesh India Computer Science Department Ambalika Institute of Management and Technology LucknowUttar Pradesh India

ISBN: (纸本)9789811305887

Similarity of images are measured according to their semantic contents, for instance, the searching for an image is based on its visual characteristics as well as other contents. The retrieval methods which are based only on keywords or metadata for the multimedia in fact cannot assure that the end user will get desired result. In text-based retrieval, the multimedia object’s features are defined and searched in keywords. In the case of bio-mage, for example, protein structures, the information is not of textual nature and requires structural or sequential comparison of atoms present in the images, and hence presents new challenges in the designing of algorithms for handling these data. Currently available tools for searching similar protein structure face the drawback of online structure/sequence similarity check which is very time-consuming. In the present manuscript, a pivot-based efficient index algorithm has been presented which enables fast retrieval of similar protein structures. The proposed algorithm is implemented on a database created on Protein Data Bank files. The similarity on protein structures is calculated by computing pivots on structural similarity and sequential similarity. Finally, the query is performed on pivot created on combined features. © Springer Nature Singapore Pte Ltd. 2019.

关键词： content based retrieval

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Privacy-Preserving Blockchain-Based Data Sharing Platform for Decentralized Storage systems

Privacy-Preserving Blockchain-Based Data Sharing Platform fo...

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IFIP Networking conference

作者： Van-Hoan Hoang Elyes Lehtihet Yacine Ghamri-Doudane OODRIVE-Trusted Cloud Solutions Paris France L3i Lab University of La Rochelle France

ISBN: (数字)9783903176287

ISBN: (纸本)9781728167107

Cloud-based storage services have been the dominating outsourcing solution for both individuals and organizations to share data digitally. Despite the advantages, users must rely on storage services for data confidentiality, data access control, user privacy, and data availability. Whereas data confidentiality can be protected by advanced encryption algorithms, the rest remain challenging. First, in existing centralized storage services, even though data access controls are mainly defined by data owners, they are maintained and enforced by the services, which can deny data retrieval requests of authorized users or allow requests of illegitimate users. Second, the identity of a user is often known to the services to verify its eligibility to access requested data according to the access control, thus making the user traceable in the system. More importantly, the lack of anonymity may make users reluctant to use such services in sensitive contexts. Third, a huge amount of data is daily generated and stored on a centralized party, simultaneously serving requests from many users, which may cause a collapse of the system during peak periods. To address all these concerns, we propose a privacy-preserving blockchain-based data sharing platform for the InterPlanetary File System (IPFS), a content-addressable peer-to-peer storage system. The platform allows protecting both user anonymity, data confidentiality, and provides high data availability due to being deployed upon the IPFS network.

关键词： access control Contracts Data privacy Encryption Peer-to-peer computing

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作者： Yang, Peng Zhang, Ning Zhang, Shan Yu, Li Zhang, Junshan Shen, Xuemin School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan 430074 China Department of Computing Sciences Texas AandM University-Corpus Christi Corpus Christi TX 78412 United States Beijing Key Laboratory of Computer Networks School of Computer Science and Engineering Beihang University Beijing 100191 China School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85287 United States Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada

Mobile edge caching aims to enable content delivery within the radio access network, which effectively alleviates the backhaul burden and reduces response time. To fully exploit edge storage resources, the most popular contents should be identified and cached. Observing that user demands on certain contents vary greatly at different locations, this paper devises location-customized caching schemes to maximize the total content hit rate. Specifically, a linear model is used to estimate the future content hit rate. For the case with zero-mean noise, a ridge regression-based online algorithm with positive perturbation is proposed. Regret analysis indicates that the hit rate achieved by the proposed algorithm asymptotically approaches that of the optimal caching strategy in the long run. When the noise structure is unknown, an H∞ filter-based online algorithm is devised by taking a prescribed threshold as input, which guarantees prediction accuracy even under the worst-case noise process. Both online algorithms require no training phases and, hence, are robust to the time-varying user demands. The estimation errors of both algorithms are numerically analyzed. Moreover, extensive experiments using real-world datasets are conducted to validate the applicability of the proposed algorithms. It is demonstrated that those algorithms can be applied to scenarios with different noise features, and are able to make adaptive caching decisions, achieving a content hit rate that is comparable to that via the hindsight optimal strategy. © 1999-2012 IEEE.

关键词： Mobile edge computing

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