2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)最新文献_第9页

Towards Adaptive Peer Assessment for MOOCs 面向mooc的自适应同伴评估

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.7

N. Capuano, S. Caballé

{"title":"Towards Adaptive Peer Assessment for MOOCs","authors":"N. Capuano, S. Caballé","doi":"10.1109/3PGCIC.2015.7","DOIUrl":"https://doi.org/10.1109/3PGCIC.2015.7","url":null,"abstract":"The increase in popularity of Massive Open Online Courses (MOOCs) requires the resolution of new issues related to the huge number of participants to such courses. Among the main challenges is the difficulty in students' assessment, especially for complex assignments, such as essays or open-ended exercises, which is limited by the ability of teachers to evaluate and provide feedback at large scale. A feasible approach to tackle this problem is peer assessment, in which students also play the role of assessor for assignments submitted by others. Unfortunately, as students may have different expertise, peer assessment often does not deliver accurate results compared to human experts. In this paper, we describe and compare different methods aimed at mitigating this issue by adaptively combining peer grades on the basis of the detected expertise of the assessors. The possibility to improve these results through optimized techniques for assessors' assignment is also discussed. Experimental results with synthetic data are presented and show better performances compared to standard aggregation operators (i.e. median or mean) as well as to similar existing approaches.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115027836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

A Non-genuine Message Detection Method Based on Unstructured Datasets 一种基于非结构化数据集的非真实消息检测方法

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.108

M. Trovati, Richard Hill, N. Bessis

引用次数: 4

Hierarchical Real-Time Multi-core Scheduling through Virtualization: A Survey 基于虚拟化的分层实时多核调度:综述

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.32

Yorick De Bock, J. Broeckhove, P. Hellinckx

引用次数: 0

An Efficient VoIP Steganography Based on Random Binary Matrix 基于随机二值矩阵的高效VoIP隐写

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.65

Jie Qin, H. Tian, Yongfeng Huang, Jin Liu, Yonghong Chen, Tian Wang, Yiqiao Cai, Xu An Wang

引用次数: 7

Dynamic Modification of Continuous Queries by Using RDF Metadata of Information Sources 利用信息源的RDF元数据动态修改连续查询

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.105

Yousuke Watanabe, H. Yokota

{"title":"Dynamic Modification of Continuous Queries by Using RDF Metadata of Information Sources","authors":"Yousuke Watanabe, H. Yokota","doi":"10.1109/3PGCIC.2015.105","DOIUrl":"https://doi.org/10.1109/3PGCIC.2015.105","url":null,"abstract":"Continuous queries over data streams have been used in many applications. They incrementally produce their query results according to data arrival and time progress. However, existing continuous query languages strongly assume that all information sources to be accessed by queries are explicitly specified and permanently fixed. There are more sophisticated requirements such as changing information sources and rewriting filter conditions during query execution. This paper proposes a dynamic query modification scheme for continuous queries. Our continuous query language treats not only stream data from information sources, but also metadata of the information sources and queries themselves. Internally, a continuous query is represented as a dataflow, which is an RDF graph of operators. Thus, modifying a continuous query can be regarded as rewriting the corresponding RDF graph. Searching information sources which satisfy the conditions can be also regarded as searching RDF graphs descripting metadata of information sources. Our scheme achieves both continuous searching information sources and rewriting dataflows.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126891088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proximity Graphs for Crowd Movement Sensors 人群运动传感器的接近图

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.147

C. Chilipirea, Andreea-Cristina Petre, C. Dobre, M. Steen

{"title":"Proximity Graphs for Crowd Movement Sensors","authors":"C. Chilipirea, Andreea-Cristina Petre, C. Dobre, M. Steen","doi":"10.1109/3PGCIC.2015.147","DOIUrl":"https://doi.org/10.1109/3PGCIC.2015.147","url":null,"abstract":"Sensors are now common, they span over different applications, different purposes and some over large geospatial areas. Most data produced by these sensors needs to be linked to the physical location of the sensor itself. By using the location of a sensor we can construct (mathematically) proximity graphs that have the sensors as nodes. These graphs have a wide variety of applications including visualization, packet routing, and spatial data analysis. We consider a sensor network that measures detections of WiFi packets transmitted by devices, such as smartphones. One important feature of sensors is given by the range in which they can gather data. Algorithms that build proximity graphs do not take this radius into account. We present an approach to building proximity graph that takes sensor position and radius as input. Our goal is to construct a graph that contains edges between pairs of sensors that are correlated to crowd movements, reflecting paths that individuals are likely to take. Because we are considering crowd movement, it gives us the unique opportunity to construct graphs that show the connections between sensors using consecutive detections of the same device. We show that our approach is better than ones that are based on the positioning of sensors only.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114536533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Efficient Cryptology-Specific Instructions Generation with Algebra Primitives 使用代数原语高效生成特定于密码学的指令

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.132

Lei Liu, Guijie Han, Zixin Zhou, Sikun Li

引用次数: 0

Introducing Auto Generated Certificates to Rank Wireless Home Network Security 引入自动生成证书来提升无线家庭网络的安全性

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.17

M. Gaj, N. Bessis, Lu Liu

引用次数: 0

Performance Evaluation of a MapReduce Hadoop-Based Implementation for Processing Large Virtual Campus Log Files 基于MapReduce hadoop处理大型虚拟校园日志文件的性能评估

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.42

F. Xhafa, Daniel Garcia, D. Ramirez, S. Caballé

{"title":"Performance Evaluation of a MapReduce Hadoop-Based Implementation for Processing Large Virtual Campus Log Files","authors":"F. Xhafa, Daniel Garcia, D. Ramirez, S. Caballé","doi":"10.1109/3PGCIC.2015.42","DOIUrl":"https://doi.org/10.1109/3PGCIC.2015.42","url":null,"abstract":"Cloud computing technologies are bringing new scales of computational processing power and storage capacity to meet very demanding requirements of today's applications. One such family of applications is the one of analytics based on processing big data. More specifically, there is a large family of analytics applications from processing log data files. Indeed, log data files are commonplace in many Internet-based systems and applications, comprising system logs, server logs, application logs, databases logs, user activity logs, etc. These applications are analytics oriented applications based on processing the various types of log files. While log data file processing has been recently an issue of investigation by many researchers and developers, the new feature is that of scale: Cloud based systems can enable processing unlimited amount of data either off-line or online in streaming mode. In this work we evaluate the performance of a MapReduce Hadoop-based implementation for processing large log data files of a Virtual Campus. The study aims to reveal the potential of using such implementations as a basis for learning analytics for use by a variety of users in a Virtual Campus.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Machine Cognition and the Integration of Emotional Response in the Monitoring of Mental Disorders 机器认知与情绪反应在精神障碍监测中的整合

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) Pub Date : 2015-11-04 DOI: 10.1109/3PGCIC.2015.38

P. Moore, H. Pham, Bin Hu, Hong Liu, T. Qassem

{"title":"Machine Cognition and the Integration of Emotional Response in the Monitoring of Mental Disorders","authors":"P. Moore, H. Pham, Bin Hu, Hong Liu, T. Qassem","doi":"10.1109/3PGCIC.2015.38","DOIUrl":"https://doi.org/10.1109/3PGCIC.2015.38","url":null,"abstract":"Computer science relies heavily on computational modeling and while the value of such an approach is generally recognized the methodological account of computational explanation is not up-to-date. In this paper we explore machine cognition with the creation of effective cognitive modeling and consider the elemental components that combine to create an effective cognitive model. The creation of such a model will enable the processing of information in intelligent context-aware systems while integrating emotion (more accurately stated as emotive response). We present a brief review of related research addressing cognitive science and machine cognition in which we identify the concept of self. Modeling is introduced with an overview of conceptual models and semiotics followed by consideration of implementation using a proposed approach based on fuzzy sets. We introduce depression as a use-case to illustrate the proposed approach and a general discussion where future directions for research and open research questions are considered. The paper closes with concluding observations. We posit that creating an effective cognitive model offers the potential to integrate emotive response and thereby improve context-aware systems in a broad and diverse range of domains and systems along with improvements in the levels of computational intelligence.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132301058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2