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13th IEEE Annual International Conference on Advanced Learning Technologies (ICALT)

作者： Liu, Shuangyan Joy, Mike Griffiths, Nathan Univ Warwick Dept Comp Sci Coventry CV4 7AL W Midlands England

ISBN: (纸本)9780769550091

Recent work has highlighted how consideration of learning styles in the process of group formation for collaborative learning can have a positive impact. This paper investigates the performance of similar learning style groups and diverse learning style groups in group work, and explores how a grouping algorithm based on students' learning styles affects students' learning achievements and processes. An empirical study with current undergraduate students in the UK has been conducted. The participating students were invited to accomplish two group discussion tasks. Each student performed the two activities, in a separate group each time, once in a group consisting of students with similar learning styles, once in a group with diverse learning styles. No volunteer shared both groups with any individual student. This paper focuses on analysing the learning achievements and collaboration processes for the two types of groups, particularly with respect to the quality of group interactions. A significant difference was found between the percentages of time spent on meaningful interactions by the two types of groups, revealing that diverse learning style groups tend to spend significantly more time on meaningful interactions than similar learning style groups. In addition, the diverse learning style groups had demonstrated significantly less negative social-emotional reactions in showing disagreements.

关键词： learning styles group formation collaborative learning grouping algorithm group work

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Automatic Detection of Dining Plates for Image-Based Dietary Evaluation

Automatic Detection of Dining Plates for Image-Based Dietary...

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Nie, Jie Wei, Zhiqiang Jia, Wenyan Li, Lu Fernstrom, John D. Sclabassi, Robert J. Sun, Mingui Univ Pittsburgh Dept Neurosurg Pittsburgh PA 15260 USA Univ China Dept Comp Sci Qingdao Peoples R China Univ Pittsburgh Dept Elect Engn Pittsburgh PA 15260 USA Univ Pittsburgh Dept Bioengn Pittsburgh PA 15260 USA Univ Pittsburgh Dept Psychiat Pittsburgh PA 15260 USA

ISBN: (纸本)9781424441242

An automatic detector that finds circular dining plates in chronically recorded images or videos is reported for the study of food intake and obesity. We first detect edges from input images. After a number of processing steps that convert edges into curves, arc filtering and grouping algorithms are applied. Then, convex hulls are identified and the ones that fit the description of ellipses corresponding to dining plates are determined. Our experiments using real-world images indicate that this detector is highly reliable and robust even when the input images contain complex background scenes and the dining plates are severely occluded.

关键词： arc filtering algorithm automatic detector circular dining plates complex background scenes convex hulls edge detection edge detection filtering theory food intake grouping algorithm image-based dietary evaluation medical image processing obesity video signal processing

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A Regular Expressions Matching algorithm Based on Templates Finite Automata 6

A Regular Expressions Matching Algorithm Based on Templates ...

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2015 International Conference on Information and Communication Technology Convergence (ICTC)

作者： Li, Yuchong Luo, Xingguo Shao, Xiangyu Wei, Dong Natl Digital Switching Syst Engn & Technol Res Ct Zhengzhou Peoples R China North China Univ Water Resources & Elect Power Zhengzhou Peoples R China

ISBN: (纸本)9781467371162

When applying the method of the grouping rules to the problem of state explosion of the Deterministic Finite Automata (DFA), the efficiency of space compression significantly decreases with the increase of the quantity of the rules. Therefore, the paper proposes the Templates Finite Automata grouping algorithm (TFA), which divides rule sets into different groups based on templates of the rules. Each group is used to construct its corresponding matching engine. At the meantime, the number of rule subsets is altered according to the quantity of actual rules and the structure of a system to achieve better matching efficiency. Theoretical analysis and the experiments conducted indicate that comparing with the conventional grouping algorithms, the TFA requires far fewer groups at the relatively similar level of storage space compression;and comparing with other classical DFA improved algorithms, the TFA achieves shorter pretreatment time and demands smaller storage space with no noticeably decrease in the matching efficiency.

关键词： regular expression deterministic finite automata grouping algorithm rule templates templates finite automata

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Efficient Generation and Distribution of CRLs for IEEE 802.11s-based Smart Grid AMI Networks

Efficient Generation and Distribution of CRLs for IEEE 802.1...

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2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Akkaya, Kemal Rabieh, Khaled Mahmoud, Mohamed Tonyali, Samet Southern Illinois Univ Dept Comp Sci Carbondale IL 62901 USA Tennessee Technol Univ Dept Elect & Comp Engn Cookeville TN 38505 USA

ISBN: (纸本)9781479949342

In this paper, we propose a novel algorithm for reducing the size of certificate revocation lists (CRLs) created and distributed for IEEE 802.11s-based Smart Grid Advanced Metering Infrastructure (AMI) networks. Rather than maintaining a huge-size single CRL that introduces unnecessary search time and storage, the idea is to generate groups of smart meters (SMs) within the AMI network and create CRLs based on these groups. Creating groups is appropriate in AMI networks since the SMs are stationary in contrary to traditional mobile wireless networks. Our proposed grouping algorithm is based on the created paths from leaf SMs to the gateway as well as the immediate neighborhood of each SM. Via grouping, the length of the CRL for each SM and the corresponding distribution overhead can be reduced significantly. Simulation results have shown that our approach can maintain a balance between the size of the CRL and the number of signatures generated by certification authorities (CAs) while guaranteeing security of the communications.

关键词： certification smart meters smart power grids telecommunication security wireless LAN CRL distribution CRL generation IEEE 802.11s advanced metering infrastructure certificate revocation lists certification authorities communication security distribution overhead grouping algorithm smart grid AMI networks unnecessary search storage unnecessary search time Conferences IEEE 802.11 Standards Logic gates Relays Security Smart grids Wireless communication Smart grids Smart meters CRL Communications security telecommunication security Logic gates wireless local area network (WLAN) CARRIER SYSTEM relay certification IL31RA gene Certification authority

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A Decentralized Approach for Implementing Identity Management in Cloud Computing

A Decentralized Approach for Implementing Identity Managemen...

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2nd International Conference on Cloud and Green Computing / 2nd International Conference on Social Computing and its Applications (CGC/SCA)

作者： Chen, Jun Wu, Xing Zhang, Shilin Zhang, Wu Niu, Yanping Shanghai Univ Sch Comp Engn & Sci Shanghai Peoples R China ShanXi North Fenglei Ind Grp Co Ltd Taiyuan Shanxi Peoples R China

ISBN: (纸本)9780769548647;9781467330275

Cloud computing is the next generation of computing paradigm. Along with cloud computing, many related problems come up. And these problems in turn slow the speed of the development of cloud computing down. Among these problems, e.g. interoperability and privacy, identity management and security are strong concerned. Many researchers and enterprises have already done a lot to optimize the identity management and strengthen the security in cloud computing. Most of these studies focus on the usability of identity management and various kinds of method to help improve security. But in this paper, we do some research from a new angle. While the federated solution of identity management helps relieve many problems, it's adopted by many platforms and enterprises. The general approach for deploying identity management is a centralized component processing authentication and authorization requests. But with the cloud growing in scale and the increasing number of users, this centralized solution will be the bottleneck of the cloud. In this paper, we propose a decentralized approach for implementing identity management in service oriented architecture in cloud computing and a grouping algorithm as the deploy strategy. Security is another problem involved in this paper. Since many researchers have done many detailed and fruitful studies in security, the security solution illustrated in this paper is specific in the proposed architecture.

关键词： cloud computing identity management (IdM) service oriented architecture (SOA) grouping algorithm security

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A clustering, technique to optimize hardware/software synchronization 05

A clustering, technique to optimize hardware/software synchr...

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10th Asia and South Pacific Design Automation Conference

作者： Peng, Junyu Abdi, Samar Gajski, Daniel Univ Calif Irvine CECS Irvine CA 92697 USA

ISBN: (纸本)0780387368

In this paper we present a scheme for reducing the amount of synchronization overhead needed between components, after HW/SW partitioning, to preserve the original control flow of the specification. Since tra c between components is expensive, our scheme can significantly enhance the performance of the system implementation. Our optimization technique dynamically groups the tasks in the specification such that synchronization for different tasks can be shared. The grouping depends on the partitioning decision, and hence, is performed during the generation of the partitioned model. We apply our grouping algorithm for various partitions on system level models of industry standard designs. The experimental results show significant reduction in synchronization overhead compared to the unoptimized model.

关键词： hardware-software codesign optimisation clustering technique hardware/software synchronization synchronization reduction HW/SW partitioning specification control flow system implementation optimization technique partitioning decision partitioned model grouping algorithm industry standard designs system implementation Hardware/software co-design partitions Specifications system level Religious Missions

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Explaining length of stay variation of episodes of care in the Netherlands

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EUROPEAN JOURNAL OF HEALTH ECONOMICS 2013年第6期14卷 919-927页

作者： Tan, Siok Swan Hakkaart-van Roijen, Leona van Ineveld, B. Martin Redekop, W. Ken Erasmus Univ Inst Med Technol Assessment NL-3000 DR Rotterdam Netherlands

Diagnosis Related Group (DRG) systems aim to classify patients into mutually exclusive groups of patients, with the patients in each group having the same expected length of stay (LOS). We examined the ability of current classification variables to explain LOS variation between DRG-like Diagnosis Treatment Combination (DBC)s for ten episodes of care in the Netherlands, including breast cancer, stroke and inguinal hernia repair. Additionally, we assessed the predictive ability of some other classification variables. For each episode of care, the relevant DBC codes of all hospitalizations in 2008 were identified and all available determinants that may serve as classification variables were acquired from the national database. Ordinary least squares regression was used to examine the predictive ability of these classification variables. The current classification variables are not sufficiently distinct to classify patients into mutually exclusive groups of patients. ICU admissions and hospital type may serve as valuable classification variables. Additionally, episode-specific variables may improve the Dutch grouping algorithm. Although it may not be feasible in the short term, grouping algorithms would benefit greatly from the introduction of classification variables tailored to the needs of specific episodes of care. A first step would be to focus on 'general' classification variables meaningful for specific episodes of care.

关键词： Diagnosis related group grouping algorithm Episode of care Classification variable Hospital efficiency

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Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2022年第9期18卷

作者： Huang, Tangsen Yin, Xiangdong Li, Xiaowu Hunan Univ Sci & Engn Sch Elect & Informat Engn Yongzhou 425199 Hunan Peoples R China

Green communication is the demand of current and future wireless communication. As the next-generation communication network, cognitive radio network also needs to meet the requirements of green communication. Therefore, improving energy efficiency is an inevitable requirement for the development of cognitive radio networks. However, there is a need to compromise sensing performance while improving energy efficiency. To take into account the two important indicators of sensing performance and energy efficiency, a grouping algorithm is proposed in this article, which can effectively improve the energy efficiency while improving the spectrum sensing performance. The algorithm obtains the initial value of the reliability of the nodes through training, and sorts them according to the highest reliability value, then selects an even number of nodes with the highest reliability value, and divides the selected nodes into two groups, and the two groups of nodes take turns in Alternate work. At this time, other nodes not participating in cooperative spectrum sensing are in a silent state, waiting for the instruction of the fusion center. The experimental results show that compared with the traditional algorithm, the proposed algorithm has a great improvement in the two indicators of sensing performance and energy efficiency.

关键词： Cognitive radio networks sensing performance grouping algorithm energy efficiency working life

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An Exploratory Study on Group Formation Based on Learning Styles

An Exploratory Study on Group Formation Based on Learning St...

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IEEE International Conference on Advanced Learning Technologies

作者： Shuangyan Liu Mike Joy Nathan Griffiths Department of Computer Science University of Warwick

ISBN: (纸本)9781479903733

关键词： Learning styles Group formation Collaborative learning grouping algorithm Group work

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