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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

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3rd Workshop on Deep Learning for Recommender systems. DLRS 2018, in conjunction with RecSys 2018

ISBN: (纸本)9781450366175

The proceedings contain 4 papers. The topics discussed include: a collective variational autoencoder for top-N recommendation with side information;item recommendation with variational autoencoders and heterogeneous priors;news session-based recommendations using deep neural networks;and knowledge-aware autoencoders for explainable recommender systems.

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Usability assessment of facial tracking for use in clinical outcomes and applications 12

Usability assessment of facial tracking for use in clinical ...

引用

12th international conference on Interfaces and Human Computer Interaction 2018, 11th international conference on Game and Entertainment Technologies 2018 and 12th international conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2018, part of the Multi conference on Computer Science and Information systems.2018, MCCSIS 2018

作者： Siena, Francesco Luke Byrom, Bill Watts, Paul Breedon, Philip Nottingham Trent University 50 Shakespeare Street NottinghamNG1 4FQ United Kingdom CRF Health Brook House - 3rd Floor 229-243 Shepherds Bush Road Hammersmith LondonW6 7AN United Kingdom

ISBN: (纸本)9789898533791

There is an ever-growing body of facial tracking assessment applications available within the health and wellness sector. One of the most prominent areas is the use of 3D cameras and processing technologies in the development of rehabilitation interventions and in the measurement of health outcomes. Recent advancements in facial tracking applications within mobile platforms and cloud computing analytics suggests that new clinical assessment and human computer assessment technologies have significant future potential for pervasive in-clinic and field-based health assessment solutions. This paper reviews the technical capabilities of three facial tracking platforms with a focus on the common issues relating to clinical measurement considerations required for patient-facing systems. Key factors are assessed in relation to 3D camera platforms, mobile applications and cloud computing applications including camera position, lighting and shadows, eye detection and common obstructions or features that affect tracking. Published examples of facial tracking clinical and health wellness applications are presented in relation to human computer interaction interfaces. This paper aims to demonstrate the potential for future applications being developed relating to each of these technologies for clinic-based applications. © 2018.

关键词： Mobile computing

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Design and Evaluation of an RF-based Detection and Identification System for Public Utility Vehicles 3

Design and Evaluation of an RF-based Detection and Identific...

引用

3rd international conference on Computer and Communication systems.(ICCCS)

作者： Endaya, Jeynald Jeyromme Quinones, Yzabel Iesa Tan, Wilson M. Univ Philippines Dept Comp Sci Networks & Distributed Syst Grp Quezon City Philippines

ISBN: (纸本)9781538663509

Colorum vehicles, as defined by the Land Transportation Franchising & Regulatory Board of the Philippines, are vehicles acting as Public Utility Vehicles (PUVs) without proper registration or authorization. They present one of the most rampant problems in Philippine transportation, and current systems.designed to detect colorum vehicles include only manual visual inspection which are prone to error and can disrupt traffic. An RF-based (Radio Frequency) system for automatically detecting registered vehicles was designed and tested to solve this problem. This system uses a pair of RF nodes - one installed in a PUV to mark it as registered and one installed in a base station to detect RF nodes in passing PUVs. Test results showed that it was possible to detect a registered PUV 100% of the time when the system is deployed at a PUV stop, and 97% of the time when deployed along an open road in a PUV route. Detection distances for registered PUVs were also measured to be at an average of 77m for base stations deployed at waiting sheds, which would grant traffic enforcers enough time to flag down a suspected colorum vehicle. Overall, the system can reduce the number of instances that traffic enforcers would have to flag down and inspect vehicles, therefore resulting in a more efficient implementation of traffic rules.

关键词： wireless sensor networks intelligent transport system

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Transfer pretrained sentence encoder to sentiment classification 3

Transfer pretrained sentence encoder to sentiment classifica...

引用

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

作者： Bai, Man Han, Xu Jia, Haoran Wang, Cong Sun, Yawei School of Software Engineering Beijing University of Posts and Telecommunications Beijing100876 China International School Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Ministry of Education Beijing100876 China

ISBN: (纸本)9781538642108

Deep learning has been demonstrated to be very effective in many difficult tasks of computer vision(CV) and natural language processing(NLP). But this usually depends on a large number of available training samples to learn, and powerful computing resources (like GPU). In the tasks of computer vision, multiple deep layers of the model are initialized with weights pre-trained on the large-scale datasets like ImageNet, which improves the training speed of the network but does not reduce the performance of the network. Inspired by this, in this paper, in order to demonstrate that transfer is also effective in natural language processing(NLP), we transfer the encoder parts of two models trained under different tasks of NLP to sentiment classification. In the result, we can find that even if we use a simple classifier, we still get good accuracy. And we propose a persuasive explanation for the phenomenon that why the similarity of the representation vectors obtained by different encoders under the same sentence is not high. © 2018 IEEE.

关键词： Computer vision

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A Novel Inverse-Operation Based Group Undo/Redo Algorithm for Feature-Based 3D Collaborative CAD systems 1

引用

3rd international conference on Human Centered computing (HCC)

作者： Cheng, Yuan He, Fazhi Lv, Xiao Cai, Weiwei Wuhan Univ Sch Informat Management Wuhan Hubei Peoples R China Wuhan Univ Sch Comp Sci Wuhan Hubei Peoples R China

ISBN: (数字)9783319745213

ISBN: (纸本)9783319745213;9783319745206

Supporting group Undo/Redo with high performance in a 3D designing environment still remains a challenge. The question is how to recover the document state as if an operation is never executed. In this paper, we are going to propose an inverse-operation based group Undo/Redo solution for feature-based 3D collaborative CAD systems. It allows a 3D part to be manipulated locally. We developed an ontology in the CAD domain so as to describe common elements in typical feature-based CAD systems. By classifying features according to how they affect a volume, feature modeling operations are categorized into four groups. We are able to create inverse operations for operations belonging to the same category. The proposed methods are tested in a prototype system with case study.

关键词： Feature-based collaborative CAD Group Undo/Redo Inverse operation Ontology

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A Relative Tolerance Relation of Rough Set for Incomplete Information systems 3rd

A Relative Tolerance Relation of Rough Set for Incomplete In...

引用

3rd international conference on Soft computing and Data Mining (SCDM)

作者： Saedudin, rd. Rohmat Mahdin, Hairulnizam Kasim, Shahreen Sutoyo, Edi Yanto, Iwan Tri Riyadi Hassan, Rohayanti Telkom Univ Sch Ind Engn Bandung 40257 West Java Indonesia Univ Tun Hussein Onn Malaysia Fac Comp Sci & Informat Technol Batu Pahat 86400 Johor Malaysia Univ Ahmad Dahlan Dept Informat Syst Yogyakarta 55161 Indonesia Univ Teknol Malaysia Fac Comp Software Engn Res Grp Skudai 81310 Johor Malaysia

ISBN: (纸本)9783319725505;9783319725499

Rough set theory is an effective approach to imprecision, vagueness, and uncertainty. This theory overlaps with many other theories such that fuzzy sets, evidence theory, and statistics. From a practical point of view, it is a good tool for data analysis. However, classical rough set theory cannot cope with the incomplete information systems.where some attribute values are missing. There have been efforts in studying incomplete information systems.for data classification which are based on the extensions of rough set theory. Moreover, the existing approaches have their weaknesses in terms of inflexible and imprecise in data classifications. To overcome these issues, we propose a relative tolerance relation of rough set (RTRS) to handling incomplete information systems. which it has flexibility and precisely for data classification. We compared RTRS with the existing approaches, the results show that our proposed method relatively achieves higher flexibility and precisely in data classification in incomplete information systems.

关键词： Rough set theory Limited tolerance relation Relative precision Incomplete information system

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Sigma-tree:Design of a data structure for storing file data allocation map in a distributed file system 3

Sigma-tree:Design of a data structure for storing file data ...

引用

3rd IEEE international conference on Smart Cloud, SmartCloud 2018

作者： Dewan, Hrishikesh Hansdah, Ramesh Singh, Prashant Dept. of Computer Science and Automation Indian Institute of Science Bangalore560 012 India Ziroh Labs Innovation Center IIIT-B Bangalore560 100 India

ISBN: (纸本)9781538651827

The growth of the volume of data is enormous and so is the computational requirement for processing data. With the fast pace of growth of data volume, the file system design also needs to evolve fast to meet the various requirements of processing data. A significant problem in file IO is the ability to locate and access blocks or objects of a file that constitute the data. We present, in this paper, a design of a block/object allocation methodology which can handle different types of file blocks/objects. We explain the design of the methodology and introduce a new data structure that can handle different types of file IO with ease and efficiency. © 2018 IEEE.

关键词： Data structures

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6th international conference on Context-Aware systems.and Applications, ICCASA 2017 and 3rd international conference on Nature of Computation and Communication, ICTCC 2017

6th International Conference on Context-Aware Systems and Ap...

引用

6th international conference on Context-Aware systems.and Applications, ICCASA 2017 and 3rd international conference on Nature of Computation and Communication, ICTCC 2017

ISBN: (纸本)9783319778174

The proceedings contain 22 papers. The special focus in this conference is on . The topics include: The Context-Aware Calculating Method in Language Environment Based on Hedge Algebras Approach to Improve Result of Forecasting Time Series;algebraic Operations in Fuzzy Object-Oriented Databases Based on Hedge Algebras;context-Adaptive Values-Based Games for the Young: Responsible Decision Making for a Sustainable World;applying and Deploying Cyber Physical System in Monitoring and Managing Operations Under Mines and Underground Works;the Method of Maintaining Data Consistency in Allocating Resources for the P2P Network Model;Fragmentation in distributed Database Design Based on KR Rough Clustering Technique;architectural Framework for Context Awareness and Health Conscious Applications on Mobile Devices;holistic Personas and the Five-Dimensional Framework to Assist Practitioners in Designing Context-Aware Accounting Information System e-Learning Applications;abnormal Behavior Detection Based on Smartphone Sensors;A Context Adaptive Framework for IT Governance, Risk, Compliance and Security;An Effective of Data Organizing Method Combines with Naïve Bayes for Vietnamese Document Retrieval;an Effective Time Varying Delay Estimator Applied to Surface Electromyographic Signals;the Optimal Solution of Communication Resource Allocation in distributed System Integrated on Cloud computing;hybrid Classifier by Integrating Sentiment and Technical Indicator Classifiers;visualizing Space-Time Map for Bus;generation of Power State Machine for Android Devices;modeling Self-adaptation - A Possible Endeavour?;enhancement of Wu-Manber Multi-pattern Matching Algorithm for Intrusion Detection System;goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation;traffic Incident Recognition Using Empirical Deep Convolutional Neural Networks Model.

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proceedings of international conference on Smart systems.and Technologies 2018, SST 2018

Proceedings of International Conference on Smart Systems and...

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3rd international conference on Smart systems.and Technologies, SST 2018

ISBN: (纸本)9781538671894

The proceedings contain 37 papers. The topics discussed include: E-Gluko: a ubiquitous system for health status monitoring and tracking in diabetes patients;influence of human body motion on DCSK performance over HBC channel;hybrid data mining approaches for intrusion detection in the Internet of things;islanding detection in microgrids including VSC-based renewable/distributed energy resources: an AI-based technique;active demand energy services decomposition;computer aided arc flash risk assessment according to IEEE and DGUV standards;performance analysis of switching techniques for induction motor drives and experimental verification with smart didactic system;and implementation of hashing algorithms in stream mining.

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SCoPE@Scuola: (In)-formative Paths on Topics Related with High Performance, Parallel and distributed computing 1

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23rd international conference on Parallel and distributed computing (Euro-Par)

作者： Barone, Giovanni Battista Boccia, Vania Bottalico, Davide Carracciuolo, Luisa Univ Naples Federico II Naples Italy Liceo Class & Sci R Cartesio Naples Italy Italian Natl Res Council Naples Italy

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

The SCoPE@Scuola initiative was born with the aim to inspire curiosity in high school students about High Performance computing (HPC) and Parallel and distributed computing (PDC). The HPC/PDC world could be an interesting matter for students because is a necessary tool to solve challenging problems in science and technology and it provides context where a plenty of knowledge acquired at school can find a real application. In fact, the themes related to HPC/PDC involve a large range of knowledge and skills: from mathematical modelling of problems to algorithm design, from software implementation to design and management of complex computer systems. The initiative, begun at the end of 2014, involved several schools in the Naples (Italy) district, and has also been used for work-based learning activities and projects aimed to avoid students "dropouts". The results collected during all the last years make us hopeful that such initiative could be useful both to increment students awareness about the utility in the real world of all the knowledge acquired at school and to help them in their future educational and/or working choices.

关键词： Education Scientific computing Parallel and distributed computing

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