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3rd international Scientific conference on Brain-Computer Interfaces, BCI 2018

3rd International Scientific Conference on Brain-Computer In...

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3rd international Scientific conference on Brain-Computer Interfaces, BCI 2018

ISBN: (纸本)9783319750248

The proceedings contain 20 papers. The special focus in this conference is on Brain-Computer Interfaces. The topics include: Effect of Spatial Filtering on Object Detection with the SURF Algorithm;Concept of Brain-Controlled Exoskeleton Based on Motion Tracking and EEG Signals Analysis;system to Communicate Disabled People with Environment Using Brain-Computer Interfaces;methods of Acquisition, Archiving and Biomedical Data Analysis of Brain Functioning;making Eye Contact with a Robot - Exploring User Experience in Interacting with Pepper;pole-Free vs. Minimum-Norm Right Inverse in Design of Minimum-Energy Perfect Control for Nonsquare State-Space systems.meta-structural Graph-Based Design Patterns for Knowledge Representation in Association-Oriented Database Metamodel;Application of the Nvidia CUDA Technology to Solve the System of Ordinary Differential Equations;Outlier Correction in ECG-Based Human Identification;towards Semantic Knowledge Base Definition;Application of sEMG and Posturography as Tools in the Analysis of Biosignals of Aging Process of Subjects in the Post-production Age;The Possibilities of Using BCI Technology in Biomedical Engineering;Brain Biophysics: Perception, Consciousness, Creativity. Brain Computer Interface (BCI);the Neglected Problem of the Neurofeedback Learning (In)Ability;Influence of LED Radiation on Brain Electrical Activity Record;using Neurofeedback as an Alternative for Drug Therapy in Selected Mental Disorders;statistical Methods for Analyzing Deceleration and Acceleration Capacity of the Heart Rate.

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Collaborative Access Control of Cloud Storage systems 4

Collaborative Access Control of Cloud Storage Systems

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4th IEEE international conference on Applied System Invention (IEEE ICASI)

作者： Chen, Yi-Hua Huang, Po-Chun Taipei Tech Dept Elect Engn 1 Sec 3Zhongxiao E Rd Taipei Taiwan Yuan Ze Univ Dept Comp Sci & Engn 1 Sec 3Zhongxiao E Rd Taipei Taiwan Yuan Ze Univ 1 Dept Comp Sci & Engn Sec 3Zhongxiao E Rd Taipei Taiwan

ISBN: (纸本)9781538643426

Recently, cloud storage systems.have become a popular means of data storage and sharing in a wide spectrum of application scenarios, especially in cloud computing systems. Although the present implementations of cloud storage systems.such as Google Drive or HackMD offer the functionality to let multiple users edit the same documents at the same time, some issues on access controls might emerge. First, the existing access control policies allow the reads or writes of a file or directory if the corresponding access privileges are granted, in an all-or-nothing basis, and finergrained controls are not realized. Then, the privileges to read or write a file are not completely orthogonal, thus the access controls for reads and writes should be asymmetric. In particular, a user that are granted to write a file cannot be always guaranteed to be able to read the same file, and vice versa. Last but not least, to avoid any intended or careless sabotage of any single user on critical files, multiple users must be able to collaboratively control the accesses to a file. Unfortunately, while the collaborative access control of files on cloud storage systems.has been extensively studied, more sophisticated access control policies based on sets of usersreferred to as manager groups in this work-still remain an unanswered problem, which motivates this work. In this work, we propose a collaborative access control strategy based on manager groups, which allow multiple groups to be connected in series or in parallel to further enhance the flexibility of access control of files on the cloud. In addition, we also considered several key implementation issues such as the performance of management, as well as the overheads for file encryption.

关键词： cloud storage systems collaborative access control collaborative management non-repudiation file auditing

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Research on discrete emotion classification of Chinese online product reviews based on OCC model 3

Research on discrete emotion classification of Chinese onlin...

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3rd IEEE international conference on Data Science in Cyberspace, DSC 2018

作者： Liu, Lina Qi, Jiayin School of Economics and Management Key Laboratory of Trustworthy Distributed Computing and Service School of Ethnic Minority Education Beijing University of Posts and Telecommunication Beijing China School of Management Shanghai University of International Business and Economics Shanghai China

ISBN: (纸本)9781538642108

There are many rich and multi-dimensional discrete emotional information in online reviews. The research of discrete emotion analysis in English online reviews is relatively early and has made some achievements, but the related research on Chinese online reviews, especially in consumption field is still in its infancy, which is the focus of this study. By taking the product reviews of a large Chinese e-commerce platform as the research object, and using the OCC model which is a kind of emotional cognition model as the basis of emotion classification, the study constructs six datasets annotated with six discrete emotions including satisfaction, disappointment, admiration, reproach, like and hate. CHI-based feature selection is performed for each review sample of the above six datasets and five traditional classifiers are used to classify the discrete emotions. The experimental result demonstrates the effectiveness of our proposed approach and shows that the classifier based on LR algorithm has the best classification effect for each discrete emotion. © 2018 IEEE.

关键词： Classification (of information)

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3rd international Symposium on Intelligent systems.Technologies and Applications, ISTA 2017

3rd International Symposium on Intelligent Systems Technolog...

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3rd international Symposium on Intelligent systems.Technologies and Applications, ISTA 2017

ISBN: (纸本)9783319683843

The proceedings contain 34 papers. The special focus in this conference is on Intelligent systems.Technologies and Applications. The topics include: Markov Chain monte carlo methods and evolutionary algorithms for automatic feature selection from legal documents;an adaptive soft set based diagnostic risk prediction system;weighted bipartite graph model for recommender system using entropy based similarity measure;automated quiz generator;temporal modelling of bug numbers of open source software applications using LSTM;direct demodulator for amplitude modulated signals using artificial neural network;real-time detection of atrial fibrillation from short time single lead ECG traces using recurrent neural networks;styloLIT: Stylometry and location indicative terms based geographic location estimation using convolutional neural networks;an energy-efficient fuzzy based data fusion and tree based clustering algorithm for wireless sensor networks;eMG pattern classification using neural networks;crime against women: A state level analysis using a hierarchical and k-means clustering techniques;zero pronouns and their resolution in Sanskrit texts;semantic analysis using pairwise sentence comparison with word embeddings;illuminant color inconsistency as a powerful clue for detecting digital image forgery: A survey;a fast, block based, copy-move forgery detection approach using image gradient and modified K-means;oR operation based deterministic extended visual cryptography using complementary cover images;empirical comparison of different key frame extraction approaches with differential evolution based algorithms;breast cancer diagnosis and prognosis using machine learning techniques;performance assessment framework for computational models of visual attention;biologically-inspired foraging decision making in distributed cognitive radio networks;pAM4-based RADAR counter-measures in hostile environments.

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3rd international conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018

3rd International Conference on Advanced Machine Learning Te...

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3rd international conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018

ISBN: (纸本)9783319746890

The proceedings contain 69 papers. The special focus in this conference is on Advanced Machine Learning Technologies and Applications. The topics include: Pairwise Global Sequence Alignment Using Sine-Cosine Optimization Algorithm;an Automated Fish Species Identification System Based on Crow Search Algorithm;Design and Implementation of Fuzzy PID Controller into Multi Agent Smart Library System Prototype;fuzzy Logic Controller with Color Vision System Tracking for Mobile Manipulator Robot;interactive Fuzzy Cellular Automata for Fast Person Re-Identification;decision Support System for Determination of Forces Applied in Orthodontic Based on Fuzzy Logic;design and Implementation of IoT Platform for Real Time systems.machine Learning: A Convergence of Emerging Technologies in computing;discrimination of Satellite Signals from Opencast Mining of Mineral Ores of Hematite and Uranium Using Digital Image Processing and Geostatistical Algorithms;Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched systems.with PSO Parameter Tuning;detecting Cross-Site Scripting Attacks Using Machine Learning;text Mining Approach to Extract Associations Between Obesity and Arabic Herbal Plants;a Reinforcement Learning-Based Adaptive Learning System;Performance Evaluation of SVM-Based Amazighe Named Entity Recognition;trained Neural Networks Ensembles Weight Connections Analysis;An Empirical Analysis of User Behavior for P2P IPTV Workloads;intelligent Decision Framework to Explore and Control Infection of Hepatitis C Virus;supervised Rainfall Learning Model Using Machine Learning Algorithms;reducing Stage Weight Estimation Error of Slow Task Detection in MapReduce Scheduling;analysis of Complete-Link Clustering for Identifying Multi-attributes Software Quality Data;modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine.

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3rd international conference on Advanced Intelligent systems.and Informatics, AISI 2017

3rd International Conference on Advanced Intelligent Systems...

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3rd international conference on Advanced Intelligent systems.and Informatics, AISI 2017

ISBN: (纸本)9783319648606

The proceedings contain 85 papers. The special focus in this conference is on Advanced Intelligent systems.and Informatics. The topics include: BP-MPSO algorithm for PUMA robot vacumn path planning;modeling and performance analysis of planar parallel manipulators;design and simulation of fuzzy water monitoring system using WSN for fishing;passivity based decoupling of lagrangian systems.control of new type of fractional chaos synchronization;control of a two link planar electrically-driven rigid robotic manipulator using fractional order SOFC;wavefront and a-star algorithms for mobile robot path planning;novel multi-input multi-output brain emotional learning based intelligent controller for PUMA 560 robotic arm;a computational offloading framework for object detection in mobile devices;a hybrid EEG signals classification approach based on grey wolf optimizer enhanced svms for epileptic detection;a model of electrokinetic platform for separation of different sizes of biological particles;breast cancer detection using polynomial fitting for intensity spreading within ROIs;low complexity intra-prediction algorithm for video coding standards;autonomic self-healing approach to eliminate hardware faults in wireless sensor networks;classification of toxicity effects of biotransformed hepatic drugs using optimized support vector machine;automating requirements elicitation of cloud-based ERPs;an experimental evaluation of binary feature descriptors;developing an efficient clique-based algorithm for community detection in large graphs;stock exchange threat modeling, EGX as a case study;stock exchange threat modeling, EGX as a case study and semantic cloud community framework for services provision.

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Method of active radio-wave imagery of the areas extensively contaminated by radionuclides from the aircraft and spacecraft 18

Method of active radio-wave imagery of the areas extensively...

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4th international conference on Frontiers of Educational Technologies, ICFET 2018, Jointly with its Workshop the 3rd international conference on Knowledge Engineering and Applications, ICKEA 2018

作者： Panov, D.V. Sukhorukov, A.I. Razoumny, Y.N. Kovkov, D.V. Yeroshkin, S.Y. Scientific-Production Association 'Technomash' 40 3d road of Maryinoy Roschi Moscow127018 Russia RUDN University 6 Miklukho-Maklaya Moscow117198 Russia

ISBN: (纸本)9781450364720

There are currently plenty of methods for Earth remote sensing that enable detecting areas with extensive radionuclide contamination. These methods rely on various physical principles. Each has specific limitations, benefits and shortcomings. A rapid development of radio electronics and digital technologies boosted evolution of the radio-wave imagery. In today's context, radio-wave imagery is understood to mean a surveillance of objects in a radio band with a level of detail that only an optical system can allow at a significant distance with a broad ground swath, including the objects invisible in an optical range. This paper proposes a solution to one of the radio-wave imagery problems of detecting a weakly ionized low-temperature plasma that forms over the areas extensively contaminated by radionuclides against the Earth background from airborne and spaceborne systems. The methodical approach, as well as numerical results, are presented. © 2018 Association for computing Machinery.

关键词： Temperature

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3rd international conference on Soft computing and Data Mining, SCDM 2018

3rd International Conference on Soft Computing and Data Mini...

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3rd international conference on Soft computing and Data Mining, SCDM 2018

ISBN: (纸本)9783319725499

The proceedings contain 48 papers. The special focus in this conference is on Soft computing and Data Mining. The topics include: Relationship between Angiotensin converting enzyme gene and cardiac autonomic neuropathy among Australian population;modeling of consumer interest on E-commerce products using eye tracking methods;A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision;comparative studies of information retrieval approaches in user-centered health information system;Is SVM+FS better to satisfy decision by majority?;Exploiting LabVIEW FPGA in implementation of real-time sensor data acquisition for rowing monitoring system;a group-based feature selection approach to improve classification of Holy Quran verses;a review: Image analysis techniques to improve labeling accuracy of medical image classification;exploration and exploitation measurement in swarm-based metaheuristic algorithms: An empirical analysis;a new adaptive energy-aware job scheduling in cloud computing;breast cancer recurrence prediction using random forest model;sarcasm detection using features based on indicator and roles;reducing computational effort for plagiarism detection with approximate string matching;evaluating the performance of three classification methods in diagnosis of parkinson’s disease;preliminary design of a dual-sensor based sign language translator device;M-DCocoa: M-agriculture expert system for diagnosing cocoa plant diseases;dyslexia adaptive learning model: Student engagement prediction using machine learning approach;towards designing tangible interaction for children with Dyslexia in learning the malay language;comparison of approaches made to enhance pupils’ numeracy skill;stock market prediction using keywords from expert articles;Classification of JPEG files by using extreme learning machine;instance-based ontology matching: A literature review.

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New Global Perspectives on Industrial Engineering and Management: international Joint conference ICIEOM-ADINGOR-IISE-AIM-ASEM

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2018年

作者： Josefa Mula Rafael G Barbastefano Manuel Daz-Madroero Raúl Poler

ISBN: (纸本)9783319934877

This book presents the proceedings of the 3rd international Joint conference ICIEOM-ADINGOR-IISE-AIM-ASEM (IJC2017) XXIII international conference on Industrial Engineering and Operations Management, international ADINGOR conference 2017, international IISE conference 2017, international AIM conference 2017 and international ASEM conference 2017, which took place at UPV (Universitat Politcnica de Valncia) from July 6th to 7th, 2017. This joint conference is the result of an agreement between ABEPRO (Associao Brasileira de Engenharia de Produo), ADINGOR (Asociacin para el Desarrollo de la Ingeniera de Organizacin), IISE (Institute of Industrial and systems.Engineers), AIM (European Academy for Industrial Management) and ASEM (American Society for Engineering Management). Consisting of papers on new global perspectives on industrial engineering and management, the book offers an interdisciplinary view of industrial engineering and management. The topics covered include: strategy and entrepreneurship, quality and product management, modelling and simulation, knowledge and project management, logistics, as well as production, information and service systems.

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3rd international conference on Machine Learning and Intelligent Communications, MLICOM 2018

3rd International Conference on Machine Learning and Intelli...

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3rd international conference on Machine Learning and Intelligent Communications, MLICOM 2018

ISBN: (纸本)9783030005566

The proceedings contain 66 papers. The special focus in this conference is on Machine Learning and Intelligent Communications. The topics include: Smartphone application identification by convolutional neural network;joint D2D cooperative relaying and friendly jamming selection for physical layer security;variable tap-length blind equalization for underwater acoustic communication;random sequence generation algorithm for multi-chaotic systems.vulAware: Towards massive-scale vulnerability detection in cyberspace;Optimization in cognitive radio networks with SWIPT-based DF relay;Real-valued orthogonal sequences for ultra-low overhead channel estimation in MIMO-FBMC systems.a novel spectrum allocation scheme in femtocell networks using improved graph theory;distributed channel allocation for wireless mesh networks based on hypergraph interference model;a research of network applications classification based on deep learning;physical violence detection with movement sensors;Joint resource allocation for wireless energy harvesting based on DF relaying;Optimal power splitting of cognitive radio networks with SWIPT-enabled relay;deflection angle detection of the rotor and signal processing for a novel rotational gyroscope;Reusing wireless power transfer for backscatter-assisted cooperation in WPCN;Channel estimation in next generation LEO satellite communicastion systems.A novel approach of semi-blind frequency selection for HF regional emergency maneuver communication;a network coding optimization algorithm for reducing encoding nodes;backscatter-assisted relaying in wireless powered communications network;energy-efficient power allocation scheme based on discrete-rate adaptive modulation in distributed antenna system;real-time drone detection using deep learning approach;a method of balanced sleep scheduling in renewable wireless sensor networks;Pedestrian walking model for floor plan building based on crowdsourcing PDR data.

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