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22nd International conference on Human Computer Interaction, HCII 2020

作者： Wu, PeiFen Hu, Hui-Jiun Wang, WenFu Fan, KuangYi Huang, ChunWe Department of Information Management and Master Program in Digital Content Technology and Management National Changhua University of Education Changhua City Taiwan Department of Visual Arts National Chiayi University Chiayi Taiwan Department of Neurology Changhua Christian Hospital Changhua Taiwan The Graduate Institute of Animation and Multimedia Design National University of Tainan Tainan Taiwan

ISBN: (纸本)9783030601485

Dementia is a very common disease among the elderly, and its main symptom is cognitive dysfunction. Relevant research suggests that the course of dementia can be delayed through non-pharmacological intervention. Therefore, the purpose of this research is to develop a cognitive training system with the aid of digital technology to help people with dementia strengthen their brain and slow their cognitive function degradation. This research cooperates with the Changhua Christian Hospital in Taiwan, and the research subjects are a total of 16 mild dementia patients with an average age of 79.6 years old, who are divided into a traditional group and a digital group. The experimental tool is the "Recall" digital cognitive application system, as developed by this research, which includes sharing nostalgic storytelling and the introduction of technology for cognitive training. There are five types of systematic cognitive training questions: quiz questions, calculation questions, puzzle questions, weight questions, and silhouette questions, which mainly train memory, logic, and concentration. After treatment, the subjects are investigated via behavior observation, questionnaires, and interviews to learn their perceptions of the usability and experience of digital cognitive application systems for patients with dementia, and the Pearson correlation coefficient is used to analyze the relevance of the four factors of the experience, namely, feel, sense, relate, and think. The results show that the experience of using this system is significantly related in the factors of sense, relate, and think. On the whole, the application system developed in this research should have benefit in the introduction of technology into reminiscence therapy for patients with mild dementia via cognitive training through games. © 2020, Springer Nature Switzerland AG.

关键词： Correlation methods

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Formulating models to survive multimedia big content from integrity violation

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Journal of Ambient Intelligence and Humanized Computing 2018年 1-10页

作者： Aljawarneh, Shadi A. Faculty of Computer and Information Technology Jordan University of Science and Technology Irbid Jordan

With exponential growth in social media sites and high penetration of Internet access and digital computing devices, there are humongous amounts of public data being generated on a day-to-day basis. Almost real-time information regarding the emerging trends can be gained through efficient techniques/algorithms to examine this enormous amount of data, which also gives hint about early warning if there is an imminent emergency case. Also, numerous helpful indicators regarding political and socioeconomic events can be seen through by carefully mining these data, which also aid in establishing efficient public policies. However, web services and data security—protection of systems and key data to avoid unauthorised tampering—is considered to be a non-trivial real-time issue. Moreover, security issue has always been a grave issue since there is frequent conflict of service availability with the security constraints should there be a change in the service media channels. The paper’s primary focus is on new mathematical models that help in simplifying and enhancing protection for multimedia big content against unauthorised tampering by examining elements of multimedia objects. Furthermore, a multimedia big data security framework is presented in this paper. This framework, built on the basis of the proposed models, will be employed to confirm the on-fly multimedia content for a requested service/page. It is believed that such type of a framework provides a higher level of service survivability as well as user confidence. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Big data

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Named Entity Recognition Supporting Serious Games Development in Stack Overflow Social content 13

Named Entity Recognition Supporting Serious Games Developmen...

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13th International European conference on Games Based Learning (ECGBL)

作者： Tamla, Philippe Boehm, Thilo Hemmje, Matthias Fuchs, Michael Fernuniv Fac Multimedia & Comp Sci Hagen Germany Res Inst Telecommun & Cooperat Dortmund Germany Wilhelm Buchner Univ Appl Sci Pfungstadt Germany

ISBN: (纸本)9781912764372

Q&A sites for developers (like Stack Overflow) provide various types of game-specific social contents that can support the development of effective serious games - games that can really train, educate, and motivate players. These social contents include valuable information for effective serious games development, such as design principles and best practices, game-specific algorithms, game engines, API documentation and game libraries. However, existing techniques and tools for analysing social contents are mainly focusing on recognizing person, location, and organization, and thus are not designed to support the recent advance of entity-centric search systems, such as direct answers and knowledge-graph for serious games domain. In this research, we study the problem of NER to support the development of serious games. We address the challenges of recognizing game-specific named entities in social contents and develop a machine-learning based model that can recognize a broad category of named entities that game developers really care about. We conduct systematic experiments to evaluate our machine learning-based NER against a well-designed rule-based baseline system and to study the effectiveness of various NER techniques and features against the unique challenges of game-specific social contents.

关键词： named entity recognition machine learning social network serious games development

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14th International conference on Hybrid Artificial Intelligence systems, HAIS 2019

14th International Conference on Hybrid Artificial Intellige...

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14th International conference on Hybrid Artificial Intelligence systems, HAIS 2019

ISBN: (纸本)9783030298586

The proceedings contain 64 papers. The special focus in this conference is on Hybrid Artificial Intelligence systems. The topics include: Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query access Control in RBAC-Administered Model;d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees;genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack;an Efficient Hybrid Genetic Algorithm for Solving a Particular Two-Stage Fixed-Charge Transportation Problem;Analysis of MOEA/D Approaches for Inferring Ancestral Relationships;parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption;haploid Versus Diploid Genetic algorithms. A Comparative Study;entropy and Organizational Performance;a Semi-supervised Method to Classify Educational Videos;generating a Question Answering System from Text Causal Relations;new Approach for the Aesthetic Improvement of Images Through the Combination of Convolutional Neural Networks and Evolutionary algorithms;evaluating Strategies for Selecting Test Datasets in Recommender systems;use of Natural Language Processing to Identify Inappropriate content in Text;classification of Human Driving Behaviour Images Using Convolutional Neural Network Architecture;building a Classification Model Using Affinity Propagation;clustering-Based Ensemble Pruning and Multistage Organization Using Diversity;towards a Custom Designed Mechanism for Indexing and Retrieving Video Transcripts;active Image Data Augmentation;a Novel Density-Based Clustering Approach for Outlier Detection in High-Dimensional Data;Convolutional CARMEN: Tomographic Reconstruction for Night Observation;Creation of a Distributed NoSQL Database with Distributed Hash Tables;A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines;On the Influence of Admissible Orders in IVOVO.

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Model of M-Learning by multimedia content Delivery from mCloud to Mobile Devices 20th

Model of M-Learning by Multimedia Content Delivery from mClo...

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20th International conference on Interactive Collaborative Learning (ICL)

作者： Davcev, Danco Jakimovski, Goran Scepanovic, Snezana Univ Ss Cyril & Methodius Fac Comp Sci & Engn Skopje Macedonia Univ Ss Cyril & Methodius Fac Elect Engn & Informat Technol Skopje Macedonia Mediteranian Univ Podgorica Montenegro

ISBN: (纸本)9783319732107;9783319732091

Integration of mobile devices in the multimedia delivery systems provides the users (learners or business people) with access to multimedia content outside the classroom (workplace). It allows them to easily store, record and deliver multimedia content in real-time. Process of delivering multimedia content to the users requires more computational resources than mobile device can provide. In order to provide users with multimedia content that is suitable for their mobile devices and according to their needs we introduce the mobile cloud (mCloud) computing environment as paradigm that is ideal to overcome these problems. The proposed interactive mCloud system should provide high scale collaboration and interaction between the users. The system is designed for delivery of multimedia learning content to the users according to the user's cognitive style. The content is adapted according to the context-aware network conditions. In this paper, we provide some experimental results based on experience of 90 users (students) that participated in the m-learning cooperative process. After completing the course of Database systems, the users estimated the Quality of Experience (QoE) by using a Learning Scenario Questionnaire.

关键词： Learning multimedia content Mobile cloud computing User profile QoE

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10th EAI International conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2018

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10th EAI International conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2018

ISBN: (纸本)9783030160418

The proceedings contain 28 papers. The special focus in this conference is on e-Infrastructure and e-Services for Developing Countries. The topics include: access control model based on dynamic delegations and privacy in a health system of connected objects;secure, transparent and uniform mobile money for internet-underserved areas using sporadically-synchronized blockchain;internet development in Africa: A content use, hosting and distribution perspective;The (missing?) role of health information systems (HIS) in patient care coordination and continuity (PCCC): The case of Uganda;performance barriers to cloud services in Africa’s public sector: A latency perspective;Impact of ZRP zone radius value on wireless network performance;classification and prediction of arrhythmias from electrocardiograms patterns based on empirical mode decomposition and neural network;cyber-healthcare Kiosks for healthcare support in developing countries;data model for cloud computing environment;online courseware development in public universities in Uganda: the precepts of active, passive and exclusive participation;the quest for white spaces in the democratic Republic of Congo;qoS strategies for wireless multimedia sensor networks in the context of IoT;a user-centered approach to the development of E-Health systems: A case of Uganda;community tools for digital inclusion;comm4Dev: Communication infrastructure for development;adaptability of learning games based on learner profiles in the context of autonomous training;multi agent-based addresses geocoding for more efficient home delivery service in developing countries;The contribution of LMS to the learning environment: Views from the state university of Zanzibar;Secure exchanges activity in function of event detection with the SDN.

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Dynamic temporal alignment of slovak audiovisual content 17

Dynamic temporal alignment of slovak audiovisual content

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

作者： Stas, J. Lojka, M. Viszlay, P. Hladek, D. Juhar, J. Technical University of Košice Department of Electronics and Multimedia Communications Boženy Němcovej 32 Košice042 00 Slovakia T-Systems Slovakia S.r.o Žriedlová 13 Košice040 01 Slovakia Tatrabanka A.s Černyševského 50 Bratislava851 01 Slovakia

ISBN: (纸本)9781728149677

access to information means power and advantage. The broadcast news is one of the information sources, where subtitling of the live broadcast is difficult. Breaking the task into smaller pieces and individually solving them appears to be the right way of subtitling the whole broadcast. The studio anchors reading predefined text from a teleprompter and announcing the news are an integral part of the broadcasted news. The transcription of the text read by the reporters and characteristics of the speech help to develop the automatic subtitling system. This paper describes a system based on dynamic temporal alignment of the Slovak speech and predefined text transcripts, with the alignment accuracy above 97%. © 2019 IEEE.

关键词： Alignment

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Toward the Cross-Institutional Data Integration From Shibboleth Federated LMS 23rd

Toward the Cross-Institutional Data Integration From Shibbol...

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23rd KES International conference on Knowledge-Based and Intelligent Information and Engineering systems (KES)

作者： Hamamoto, Nobukuni Ueda, Hiroshi Furukawa, Masako Nakamura, Motonori Nishimura, Takeshi Yokoyama, Shigetoshi Yamaji, Kazutsuna Gunma Univ Lib & Informat Technol Ctr 4-2 Aramaki Machi Maebashi Gunma 3718510 Japan Hosei Univ Res Ctr Comp & Multimedia Studies 3-7-2 Kajino Cho Koganei Tokyo 1848584 Japan Natl Inst Informat Informat & Soc Res Div Chiyoda Ku 2-1-2 Hitotsubashi Tokyo Japan Kyoto Univ Inst Informat Management & Commun Sakyo Ku Yoshida Honmachi Kyoto Japan Natl Inst Informat Cyber Sci Infrastruct Dev Dept Chiyoda Ku 2-1-2 Hitotsubashi Tokyo Japan Natl Inst Informat Ctr Cloud Res & Dev Chiyoda Ku 2-1-2 Hitotsubashi Tokyo Japan Natl Inst Informat Digital Content & Media Sci Res Div Chiyoda Ku 2-1-2 Hitotsubashi Tokyo Japan

Through this study, we aim to examine a method for data integration in shared Learning Management System (LMS) in authentication federation. We proposed a method of transmitting ePTID and learning data with user's consent as a method for data integration across institutions. The method is compared with the other existing methods to realize the shared LMS. We discuss the suitable method for next version of GakuNinMoodle and conclude that our requirements are not fully satisfied by a single method. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International.

关键词： data integration LMS Moodle Shibboleth ePTID

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The acousticbrainz genre dataset: Multi-source, multi-level, multi-label, and large-scale 20

The acousticbrainz genre dataset: Multi-source, multi-level,...

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20th International Society for Music Information Retrieval conference, ISMIR 2019

作者： Bogdanov, Dmitry Porter, Alastair Schreiber, Hendrik Urbano, Julián Oramas, Sergio Music Technology Group Universitat Pompeu Fabra Spain Tagtraum Industries Incorporated United States Multimedia Computing Group Delft University of Technology Netherlands Pandora United States

ISBN: (纸本)9781732729919

This paper introduces the AcousticBrainz Genre Dataset, a large-scale collection of hierarchical multi-label genre annotations from different metadata sources. It allows researchers to explore how the same music pieces are annotated differently by different communities following their own genre taxonomies, and how this could be addressed by genre recognition systems. Genre labels for the dataset are sourced from both expert annotations and crowds, permitting comparisons between strict hierarchies and folksonomies. Music features are available via the Acoustic- Brainz database. To guide research, we suggest a concrete research task and provide a baseline as well as an evaluation method. This task may serve as an example of the development and validation of automatic annotation algorithms on complementary datasets with different taxonomies and coverage. With this dataset, we hope to contribute to developments in content-based music genre recognition as well as cross-disciplinary studies on genre metadata analysis. © 2020 International Society for Music Information Retrieval. All rights reserved.

关键词： Metadata

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7th International conference on Networked systems, NETYS 2019

7th International Conference on Networked Systems, NETYS 201...

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7th International conference on Networked systems, NETYS 2019

ISBN: (纸本)9783030312763

The proceedings contain 25 papers. The special focus in this conference is on Networked systems. The topics include: Dissecting tendermint;CUDA-DTM: Distributed transactional memory for GPU clusters;Towards synthesis of distributed algorithms with SMT solvers;recoverable mutual exclusion with abortability;An efficient network IDS for cloud environments based on a combination of deep learning and an optimized self-adaptive heuristic search algorithm;efficient security policy management using suspicious rules through access log analysis;a vaccination game for mitigation active worms propagation in P2P networks;how to choose its parents in the tangle;bitcoin security with post quantum cryptography;on the complexity of fault-tolerant consensus;achieving starvation-freedom in multi-version transactional memory systems;mutex-based de-anonymization of an anonymous read/write memory;a pragmatic non-blocking concurrent directed acyclic graph;the fake news vaccine: A content-agnostic system for preventing fake news from becoming viral;distributed online data aggregation in dynamic graphs;a multi-criteria group decision making method for big data storage selection;checking causal consistency of distributed databases;liveness in broadcast networks;Formal verification of UML state machine diagrams using petri nets;synthesize models for quantitative analysis using automata learning;continuous vs. discrete asynchronous moves: A certified approach for mobile robots;self-stabilizing snapshot objects for asynchronous failure-prone networked systems;self-stabilization overhead: A case study on coded atomic storage.

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