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Electrical Engineering (FORTEI-ICEE), FORTEI-International conference on

作者： Generosa Lukhayu Pritalia Sunu Wibirama Teguh Bharata Adji Sri Kusrohmaniah Universitas Gadjah Mada Yogyakarta Indonesia Faculty of Psychology Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (数字)9781728194349

ISBN: (纸本)9781728194356

The existence of a multimedia learning system still presents the same material for every student. Educational theory suggests that learning content ideally should be adaptive by considering each student's learning style. To make learning more optimal, it is necessary to detect learning styles. Several learning detection approaches have been implemented. Conventional methods such as student assessment tests and interviews tend to be more subjective. An objective method of eye-tracking has been researched but limited as a validation tool for differentiating learning styles. To overcome the above mentioned problems, this study proposes a new approach using machine learning and eye-tracking techniques. The experiment and analysis involved 68 students. There were 23 male participants and 45 female participants. In the experiment, participants were assigned to interact with learning content and their eye movements were recorded using an eye-tracker sensor. From the experimental results using three classification algorithms - SVM, Naïve Bayes, and Logistic Regression - and using SVM-RFE as a feature selection method, the best model was achieved by Naïve Bayes algorithm through three features selected from SVM-RFE method. The model yielded 71% of accuracy, 60% of sensitivity, and 75% of specificity. This empirical study provides an opportunity for machine learning and eye-tracking approaches to automatically classify learning styles. These results can be used as guidelines for developing an adaptive multimedia learning system by considering students' learning styles.

关键词： Support vector machines Learning systems Sensitivity multimedia systems Machine learning Classification algorithms Logistics

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Emerging Interactive Applications over QUIC

Emerging Interactive Applications over QUIC

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Consumer Communications and Networking conference, CCNC IEEE

作者： Armir Bujari Claudio E. Palazzi Giacomo Quadrio Daniele Ronzani University of Padua Padua Italy

ISBN: (数字)9781728138930

ISBN: (纸本)9781728138947

The fruition of multimedia contents has been revolutionized by the spread of broadband technology. Furthermore, the advent of the cloud is now moving the computational load, once prerogative of domestic devices, to remote servers. This is bringing achievements that were unthinkable only few years ago, like the provisioning of new multimedia services through the Internet. To guarantee a proper user experience, a low E2E latency and a high bandwidth are both essential. Unfortunately, this is difficult to accomplish in a shared and best-effort network like the Internet. We need to focus on the study and analysis of modern network protocols to identify viable solutions for a suitable user experience. This is especially the case of QUIC, a recent transport protocol able to reduce significantly some issues mentioned above. Our aim is to explore QUIC and its integration into a Smart access Point, enabling a better management of heterogeneous co-existing media flows.

关键词： broadband networks interactive systems Internet multimedia communication network servers transport protocols transport protocols Internet servers interactive systems multimedia communications Broadband networks Internets multimedia services multimedia content Network protocols high-bandwidth

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A Hybrid Energy-Aware Video Bitrate Adaptation Algorithm for Mobile Networks 15

A Hybrid Energy-Aware Video Bitrate Adaptation Algorithm for...

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15th IEEE/IFIP Wireless On-Demand Network systems and Services conference (WONS)

作者： Araujo, Fabio Rosario, Denis Cerqueira, Eduardo Villas, Leandro A. Fed Univ UFPA Belem Para Brazil Univ Estadual Campinas Inst Comp UNICAMP Campinas Brazil

ISBN: (纸本)9783903176133

The number of mobile devices that use video streaming applications has been steadily rising year after year. Platforms responsible for providing multimedia service face great challenges in delivering high-quality content for mobile users. One main problem in sharing video flows is the high energy consumption in mobile devices, which reduces their lifetime. A video adaptation approach with Quality of Experience (QoE) support is a key issue to increase the user experience while watching videos as well as reduce the energy consumption in mobile devices. In this paper, we propose a hybrid energy-aware video bitrate adaptation algorithm to deliver videos with high QoE and energy-efficiency for mobile users. Simulation results show the efficiency of the proposed algorithm compared to existing adaptation video bitrate algorithms, reducing the number and duration of stalls, as well as saving energy.

关键词： Videotapes Mobile devices mobile networking Bit rate mobile communication multimedia services energy consumption high energy-consuming Energy efficiency stalls(animals)

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Inheritance process of West Java local-arts values based on multimedia communications

Inheritance process of West Java local-arts values based on ...

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Annual conference of Science and Technology (Ancoset)

作者： Wartika, E. Ridwan, I. Apip, A. Indonesian Inst Cultural Arts Fac Culture & Media Dept Film & Televis Bandung Indonesia Indonesian Inst Cultural Arts Fac Culture & Media Dept Tradit Mus Bandung Indonesia

West Java is one of the provinces in Indonesia with a very vast culture and art heritage. Now, the local arts and cultures have been diminishing with times. This problem was caused mainly by the declining appreciation and the lack of attention from present generations. However, the communication media and technology can play important roles to promote them. This paper aims at examining how multimedia communication models can optimize the process of inheritance and preserve art and culture. The model was developed in such a way, so that the inheritance processes of arts culture can be adaptive with modern society that is characterized by the use of computer networks and applications. The method used in this research is qualitative, and the final results is a collection of West Java local arts documentary videos that are mapped with their associated Geographic Information System, namely "Geographical Mapping of Sundanese Art". The communication pattern is adjusted without damaging the content and essence of the cultural arts that are processed. This model will become an effective way to disseminate the local arts, so that the community can have easier access to the documentary video of local culture, especially in West Java region.

关键词： multimedia systems

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Toward Reliable Models For Authenticating multimedia content: Detecting Resampling Artifacts With Bayesian Neural Networks

Toward Reliable Models For Authenticating Multimedia Content...

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IEEE International conference on Image Processing

作者： Anatol Maier Benedikt Lorch Christian Riess IT Security Infrastructures Lab Friedrich-Alexander University Erlangen-Nürnberg Germany

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

In multimedia forensics, learning-based methods provide state-of the-art performance in determining origin and authenticity of images and videos. However, most existing methods are challenged by out-of-distribution data, i.e., with characteristics that are not covered in the training set. This makes it difficult to know when to trust a model, particularly for practitioners with limited technical *** this work, we make a first step toward redesigning forensic algorithms with a strong focus on reliability. To this end, we propose to use Bayesian neural networks (BNN), which combine the power of deep neural networks with the rigorous probabilistic formulation of a Bayesian framework. Instead of providing a point estimate like standard neural networks, BNNs provide distributions that express both the estimate and also an uncertainty *** demonstrate the usefulness of this framework on a classical forensic task: resampling detection. The BNN yields state-of-the-art detection performance, plus excellent capabilities for detecting out-of-distribution samples. This is demonstrated for three pathologic issues in resampling detection, namely unseen resampling factors, unseen JPEG compression, and unseen resampling algorithms. We hope that this proposal spurs further research toward reliability in multimedia forensics.

关键词： Bayes methods Neural networks Forensics Uncertainty Training Learning systems Standards

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content Based Search Engine for E-Books

Content Based Search Engine for E-Books

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International conference on Advanced Computing and Communication systems (ICACCS)

作者： Farhan Kasmani Rishi Maniyar Meera Narvekar Dwarkadas J. Sanghvi College of Engineering Mumbai India

ISBN: (数字)9781728151977

ISBN: (纸本)9781728151984

The learning strategy of today's generation is changing from subject oriented learning to topic-oriented learning. Due to ease of access to online content, students and teachers prefer E-books. However, referring multiple E-books for a particular topic is difficult and the content obtained is so large that it is virtually impossible to differentiate which content is relevant. Also, it is widely recognized in the digital Information Retrieval community that keyword-based search engine does not work well when the user's needs are not well-defined. Hence, a search engine is required to explore the content of E-books. This paper proposes a `content Based Search Engine for E-Books' where E-books are indexed and the search results are clustered according to frequent phrases. The clustering of search results allows the search engine to understand the semantics behind user's query. In comparison with other existing search engines, this paper focuses on developing an improved search engine to explore the content of E-books. The results show that a particular topic can be searched across multiple E-books and can be clustered based on its content.

关键词： Electronic publishing Search engines Clustering algorithms Indexes Matrix decomposition Semantics Communication systems

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Grant-Free access: Machine Learning for Detection of Short Packets

Grant-Free Access: Machine Learning for Detection of Short P...

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Advanced Satellite Mobile systems (ASMS)

作者： Estefanía Recayte Andrea Munari Federico Clazzer Institute of Communications and Navigation German Aerospace Center (DLR) Germany

ISBN: (数字)9781728157948

ISBN: (纸本)9781728157955

In this paper, we explore the use of machine learning methods as an efficient alternative to correlation in performing packet detection. Targeting satellite-based massive machine type communications and internet of things scenarios, our focus is on a common channel shared among a large number of terminals via a fully asynchronous ALOHA protocol to attempt delivery of short data packets. In this setup, we test the performance of two algorithms, neural networks and random forest, which are shown to provide substantial improvements over traditional techniques. Excellent performance is demonstrated in terms of detection and false alarm probability also in the presence of collisions among user transmissions. The ability of machine learning to extract further information from incoming signals is also studied, discussing the possibility to classify detected preambles based on the level of interference they undergo.

关键词： Receivers Vegetation Neurons Correlation Artificial neural networks Radio frequency Prediction algorithms

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Applied to Mobile multimedia Intelligent Speech System Interactive Topic Guiding Model

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IEEE access 2019年 7卷 182348-182356页

作者： Huang, Hongcheng Wang, Xupeng Hu, Min Tao, Yang Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Chongqing Engn Res Ctr Commun Software Chongqing 400065 Peoples R China

Recently, the rapid development of mobile multimedia intelligent voice systems has affected the rapid changes in user interaction. Meanwhile, the continuous optimization of recommended algorithms makes the change of interaction mode from the original user's active search to the machine actively recommending continuously. It is an inevitable trend that multimedia intelligent voice dialogue system brings more efficient content services to users through active recommendation. However, the existing multimedia intelligent voice dialogue systems are mainly based on the user's expression content to analyze the user's subject willingness and then provide the reply contents to user. This kind of interaction only drives the topic through the user, which will cause some problems like single chat topic and missing points of interest. In order to address these problems, this paper proposes an interactive topic guiding model. This model uses the surrounding similar users and user context information to guide users' topics, and taking into account the harmony of human-computer interaction, the game method is adopted to select the optimal content response strategy by considering the user's and robot's emotional friendliness and content friendliness. The experiments show that the model proposed in this paper can effectively guide topics. Moreover, it has significant improvement in content richness compared with other models in human-machine natural interaction, which can provide some research ideas for guiding the topic in the mobile multimedia intelligent voice system.

关键词： Mobile multimedia intelligent voice system topic guide game theory

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Characterizing Hyperspectral Data Layouts: Performance and Energy Efficiency in Embedded GPUs for PCA-based Dimensionality Reduction 34

Characterizing Hyperspectral Data Layouts: Performance and E...

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34th conference on Design of Circuits and Integrated systems (DCIS)

作者： Sancho Aragon, Jaime Sanchez Ramirez, Sergio Lazcano Lopez, Raquel Madronal Quintin, Daniel Salvador Perea, Ruben Juarez Martinez, Eduardo Sanz Alvaro, Cesar Univ Politecn Madrid UPM Res Ctr Software Technol & Multimedia Syst Madrid Spain

ISBN: (纸本)9781728154589

The increasing demand for HyperSpectral Imaging (HSI) applications has pushed the appearance of new, smaller and more affordable HS cameras. Their adoption in embedded systems with real-time and energy constraints open research questions given the huge amounts of data involved. Traditionally, this issue is tackled with dimensionality reduction algorithms as Principal Component Analysis (PCA). In this regard, a highly impacting factor in performance is the data layout used to store the 3D HS image into a 1D memory. In this paper, the impact of using the three main HS data layouts (BSQ, BIP and BIL) is analyzed in terms of performance and energy efficiency for two PCA methods in the embedded NVIDIA Jetson TX1 GPU-based accelerator. Results show the bottlenecks found for each layout along with architectural insights that explain the observed behaviours. Consequently, we provide a set of recommendations to select a suitable PCA method for best performance and energy efficiency, depending on the number of principal components required. Additionally, we observe how different orderings with similar results account for a much different developer's productivity given the involved coding complexity in each case.

关键词： HSI PCA GPU characterization energy efficiency data layouts access patterns

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On the Joint content Caching and User Association Problem in Small Cell Networks

On the Joint Content Caching and User Association Problem in...

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IEEE International conference on Communications Workshops, ICC

作者： M. Karaliopoulos L. Chatzieleftheriou G. Darzanos I. Koutsopoulos Department of Informatics Athens University of Economics and Business Athens Greece

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

Caching at the edge of the radio network is increasingly viewed as a promising countermeasure to the staggering demand for mobile video content. The persistent orientation of newer generations of mobile communication systems towards lower latency and faster radio access speeds only strengthens the arguments in its favor. When content caching is coordinated with other radio resource management functions, in particular, the benefits for the end users and the network operator are significant. In this paper, we investigate these benefits in cache-enabled small cell networks that jointly control (i) the Small-Cell Base Stations (SBSs) that serve as network access points for the mobile users; and (ii) the content that is stored at the SBS co-located caches. Our main contribution is a fast-converging computationally simple heuristic algorithm that iterates between assigning users to small cells and content to SBS caches, to maximize the overall cache hit ratio. The algorithm solutions compete with the optimal assignments at small problem instances and outperform alternative solutions for larger instances, especially when the content demand exhibits spatial locality. Combining good performance with non-prohibitive complexity, the algorithm could become a valuable tool for small cell network operators seeking to optimize the use of radio network resources.

关键词： Heuristic algorithms Microcell networks Radio networks Base stations Linear programming Complexity theory Radio access networks

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