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Message from the CCEM 2019 Program Chairs

Proceedings - 2019 8th IEEE International Conference on Clou...

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proceedings - 2019 8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019 2019年 X页

作者： Chitnis, Sanjay Subramaniam, K.V. Dayanand Sagar University India PES University India

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Message from the CCEM 2019 Steering Committee Chairs

Proceedings - 2019 8th IEEE International Conference on Clou...

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proceedings - 2019 8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019 2019年 VIII-IX页

作者： Pingali, Gopal Mohan, T.S. IBM Pragyan Data Labs

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12th international conference on Innovative Mobile and Internet Services in Ubiquitous computing, IMIS 2018

12th International Conference on Innovative Mobile and Inter...

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12th international conference on Innovative Mobile and Internet Services in Ubiquitous computing, IMIS 2018

ISBN: (纸本)9783319935539

the proceedings contain 95 papers. the special focus in this conference is on Innovative Mobile and Internet Services in Ubiquitous computing. the topics include: Implementation of WiFi P2P based DTN routing and gateway for disaster information networks;A new contents delivery network mixing on static/dynamic heterogeneous DTN environment;Predicate clustering-based entity-centered graph pattern recognition for query extension on the LOD;discrimination of eye blinks and eye movements as features for image analysis of the around ocular region for use as an input interface;dynamic group formation for an active learning system using smartphone to improve learning motivation;Evaluation of 13.56 MHz RFID system considering communication distance between reader and tag;an efficient routing protocol via depth adjustment and energy gradation in underwater wireless sensor networks;Vulnerability analysis on the image-based authentication through the PS/2 interface;differential-evolution-earthworm hybrid meta-heuristic optimization technique for home energy management system in smart grid;A spacecraft AIT visualization control system based on VR technology;an efficient home energy management and power trading in smart grid;hierarchical based coordination strategy to efficiently exchange the power among micro-grids;weighted cuckoo search based load balanced cloud for green smart grids;foged energy optimization in smart homes;short term load forecasting based on deep learning for smart grid applications;efficient resource allocation model for residential buildings in smart grid using fog and cloud computing;feature selection and extraction along with electricity price forecasting using big data analytics;proposal of a disaster support expert system using accumulated empirical data.

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8th international conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018

8th International Conference in Methodologies and Intelligen...

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8th international conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018

ISBN: (纸本)9783319988719

the proceedings contain 35 papers. the special focus in this conference is on Methodologies and Intelligent Systems for Technology Enhanced Learning. the topics include: Collaborative language learning through computer-assisted translation on a wiki-based platform: Operations and management;learning scientific concepts with text mining support;virtual reality learning environments in materials engineering: Rockwell hardness test;a teaching experience on information systems auditing;compliance to eXtreme apprenticeship in a programming course: Performance, achievement emotions, and self-efficacy;learning analytics in the classroom: Comparing self-assessment, teacher assessment and tests;towards a model of early entrepreneurial education: Appreciation, facilitation and evaluation;awareness of school learning environments;gamification and learning analytics to improve engagement in university courses;predicting learners’ behaviours to get it wrong;the online self-assessment mygoalin supporting self-regulated learning: User-feedback for optimization;design of a multi-agent architecture for implementing educational drama techniques using robot actors;predictors of performance in programming: the moderating role of eXtreme apprenticeship, sex and educational background;on the design and development of an assessment system with adaptive capabilities;Designing a personalizable ASD-oriented AAC tool: An action research experience;the future of learning multisensory experiences: Visual, audio, smell and taste senses;developing learning scenarios for educational web radio: A learning design approach;pragmatic game authoring support for an adaptive competence-based educational system;generator of tests for learning check in case of courses that use learning blocks;impact of an electronic nursing documentation system on the nursing process accuracy;a run-time detector of hardworking E-learners with underperformance.

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15th IFIP WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2019

15th IFIP WG 12.5 International Conference on Artificial Int...

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15th IFIP WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2019

ISBN: (纸本)9783030199081

the proceedings contain 77 papers. the special focus in this conference is on Artificial Intelligence Applications and Innovations. the topics include: An approach for domain-specific design pattern identification based on domain ontology;pre-processing framework for twitter sentiment classification;computing long sequences of consecutive fibonacci integers with TensorFlow;employing constrained neural networks for forecasting new product's sales increase;language processing for predicting suicidal tendencies: A case study in Greek poetry;recognition of urban sound events using deep context-aware feature extractors and handcrafted features;studying the spatialities of short-term rentals' sprawl in the urban fabric: the case of Airbnb in Athens, Greece;a brief overview of dead-zone pattern matching algorithms;on the cyclic regularities of strings;a new self-planning methodology based on signal quality and user traffic in Wi-Fi networks;paid Crowdsourcing, Low Income Contributors, and Subjectivity;predicting secondary structure for human proteins based on chou-fasman method;Enhanced mobile broadband as enabler for 5G: Actions from the framework of the 5G-DRIVE project;Inclusion of telemetry and data analytics in the context of the 5G ESSENCE architectural approach;a framework to support the role of telecommunication service providers in evolving 5G business models;Orchestration of mission-critical services over an NFV architecture;Testbeds for the Implementation of 5G in the European Union: the Innovative Case of the 5G-DRIVE Project;a techno-economic analysis of employing a central coordinator entity in 5G networks;Trustworthy AI for 5G: Telco Experience and Impact in the 5G ESSENCE.

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8th international Work-conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019

8th International Work-Conference on the Interplay Between N...

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8th international Work-conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019

ISBN: (纸本)9783030196509

the proceedings contain 88 papers. the special focus in this conference is on Interplay Between Natural and Artificial Computation. the topics include: computing the Missing Lexicon in Students Using Bayesian Networks;control of Transitory Take-Off Regime in the Transportation of a Pendulum by a Quadrotor;improving Scheduling Performance of a Real-Time System by Incorporation of an Artificial Intelligence Planner;convolutional Neural Networks for Olive Oil Classification;an Indoor Illuminance Prediction Model Based on Neural Networks for Visual Comfort and Energy Efficiency Optimization Purposes;using Probabilistic Context Awareness in a Deliberative Planner System;combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus;robust Heading Estimation in Mobile Phones;crowding Differential Evolution for Protein Structure Prediction;a Principled Two-Step Method for Example-Dependent Cost Binary Classification;Bacterial Resistance Algorithm. An Application to CVRP;conceptual Description of Nature-Inspired Cognitive Cities: Properties and Challenges;genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity;multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision;optimization of Bridges Reinforcements with Tied-Arch Using Moth Search Algorithm;repairing Infeasibility in Scheduling via Genetic Algorithms;application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification;content Based Image Retrieval by Convolutional Neural Networks;deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images;analysis of Dogs’s Abandonment Problem Using Georeferenced Multi-agent Systems;symbiotic Autonomous Systems with Consciousness Using Digital Twins;background Modeling by Shifted Tilings of Stacked Denoising Autoencoders;automatic Image-Based Waste Classification.

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Emotional State recognition with Micro-expressions and Pulse Rate Variability 20th

Emotional State Recognition with Micro-expressions and Pulse...

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20th international conference on Image Analysis and Processing (ICIAP)

作者： Belaiche, Reda Sabour, Rita Meziati Migniot, Cyrille Benezeth, Yannick Ginhac, Dominique Nakamura, Keisuke Gomez, Randy Yang, Fan Univ Bourgogne Franche Comte ImViA EA 7535 Dijon France Honda Res Inst Japan Co Ltd 8-1 Honcho Wako Saitama Japan

ISBN: (纸本)9783030306427;9783030306410

Machine learning has known a tremendous growth within the last years, and lately, thanks to that, some computer vision algorithms started to access what is difficult or even impossible to perceive by the human eye. It is then natural that scientists began looking for ways to probe humans' emotions and their psyche with this technology. In this paper, we study the feasibility of recognizing and classifying the abstract concept of emotional states from videos of people facing a regular RGB camera. We do so by using the barely perceptible micro facial expressions humans cannot control, as well as the spontaneous variations of the pulse rate that we estimated using remote photoplethysmography. We compare these two modalities and our experimental results show that it is possible to classify emotional states from these implicit information gathered from regular cameras with encouraging performances.

关键词： Affective computing Facial expressions LBP Pulse rate variability Remote photoplethysmography

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Optimization of Row pattern Matching over Sequence Data in Spark SQL 30th

Optimization of Row Pattern Matching over Sequence Data in S...

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30th international conference on Database and Expert Systems Applications (DEXA)

作者： Nakabasami, Kosuke Kitagawa, Hiroyuki Nasu, Yuya Railway Tech Res Inst Hikari Cho 2-8-38 Kokubunji Tokyo Japan Univ Tsukuba Ctr Computat Sci Tennodai 1-1-1 Tsukuba Ibaraki Japan Univ Tsukuba Grad Sch Syst & Informat Engn Tennodai 1-1-1 Tsukuba Ibaraki Japan

ISBN: (纸本)9783030276157;9783030276140

Due to the advance of information and communications technology and sensor technology, a large quantity of sequence data (time series data, log data, etc.) are generated and processed every day. Row pattern matching for the sequence data stored in relational databases was standardized as SQL/RPR in 2016. Today, in addition to relational databases, there are many frameworks for processing a large amount of data in parallel and distributed computing environments. they include MapReduce and Spark. Hive and Spark SQL enable us to code data analysis processes in SQL-like query languages. Row pattern matching is also beneficial in Hive and Spark SQL. However, computational cost of the row pattern matching process is large and it is needed to make this process efficient. In this paper, we propose two optimization methods to realize the reduction of computational cost for row pattern matching process. We focus on Spark and show design and implementation of the proposed methods for Spark SQL. We verify by the experiments that our optimization methods really contribute to the reduction of the processing time of Spark SQL queries including row pattern matching.

关键词： Sequence data pattern matching Row pattern recognition MATCH RECOGNIZE Spark SQL Optimization

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Person Identification from Full-Body Movement Using String Grammar Fuzzy-Possibilistic C-Medians 8

Person Identification from Full-Body Movement Using String G...

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8th IEEE international conference on Control System, computing and Engineering (ICCSCE)

作者： Chantapakul, Watchanan Auephanwiriyakul, Sansanee theera-Umpon, Nipon Khunlertgit, Navadon Chiang Mai Univ Fac Engn Dept Comp Engn Chiang Mai Thailand Chiang Mai Univ Fac Engn Dept Elect Engn Chiang Mai Thailand Chiang Mai Univ Inst Biomed Engn Chiang Mai Thailand

ISBN: (纸本)9781538663240

Biometrics is a method to identify a person. However, there are several biometric techniques including face recognition, palm recognition, iris recognition, fingerprint recognition, and so on. there is a new approach in biometrics, i.e., identification using full-body movement. In this paper, we introduce a full-body movement in human identification using three Kinects. In particular, we utilize the string grammar fuzzy-possibilistic C-medians (sgFPCNIed) to group string sequences from skeleton frames into pose string, then group the pose string sequences of each person into multi-group to create multi prototypes for each person. the K-nearest neighbor is used to identify the person in the test process on 27 subjects. the system yields 73.33% correct classification on the best validation set of four-fold cross validation.

关键词： person identification syntactic pattern recognition string grammar fuzzy-possibilistic C-medians Kinect

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Social touch: stimuli-imitation protocol and automated recognition

Social touch: stimuli-imitation protocol and automated recog...

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international conference on Affective computing and Intelligent Interaction Workshops and Demos (ACIIW)

作者： Wail Elbani Institut des systè mes intelligents et de robotique Sorbonne Université CNRS UMR 7222 Paris France

Touch plays an important role in socio-emotional communication: a loving hug from a spouse, a comforting tap on the back by friend, a push from a stranger convey efficiently an emotion or an intent, specially when combined with other modalities such as audition and vision. In a parent-child relationship, the frequency of maternal touch is positively correlated to the a child early social development. In addition, Touch occurs frequently in patient care situation: a massage therapy, for instance, reduces chronic pain and alleviates anxiety when properly applied by a nurse. Underexplored by the human-machine-interaction and the affective computing literature, the purpose of this thesis is to integrate the sense of touch into interactive systems. In this paper we introduce a novel data collection framework for social touch and present the social touch recognition pipeline.

关键词： Videos Data collection Feature extraction Affective computing Tactile sensors

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