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15th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2012

作者： Tewari, Babul P. Ghosh, Sasthi C. Department of Computer Science and Engineering NSHM Knowledge Campus Durgapur Group of Institutions Durgapur 713 212 West Bengal India Advanced Computing and Microelectronics Unit Indian Statistical Institute 203 B. T. Road Kolkata-700 108 West Bengal India

ISBN: (纸本)9781450316286

Frequency channels are allocated to the access-points (APs) subject to an acceptable co-channel interference level in an IEEE 802.11 WLAN. Due to limited number of the non- overlapping frequency channels, all APs in a given area may not be activated simultaneously. Therefore which subset of the APs to select for activation is a major concern. Given a set of selected APs, often a station (STA) can potentially associate with more than one AP. The association of an STA to an inappropriate AP will not only lead to degraded service for the concern STA but also may pull down the throughput of the other STAs associated with that AP. Thus finding the optimal association between STAs and APs is another im- portant concern. We argue that treating these two issues in succession may lead to suboptimal solutions, whereas, ignor- ing the co-channel interference may result over estimation of the throughput. In this paper, an integrated model based on integer programming and an efficient greedy algorithm are proposed that address both aspects simultaneously and maximizes the overall throughput while taking care of load balancing across different APs. Computational results show that indeed the integrated approach is superior to both two- step approach and methods that ignore the interference.

关键词： Integer programming

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Simultaneous Brain-computer Interfacing and Motor Control:Expanding the Reach of Non-Invasive BCIs

Simultaneous Brain-Computer Interfacing and Motor Control:Ex...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Willy Cheung Devapratim Sarma Reinhold Scherer Rajesh P. N. Rao Department of Computer Science and Engineering University of Washington Seattle WA USA Institute for Knowledge Discovery Graz University of Technology Graz Austria

ISBN: (纸本)9781457717871

Brain-computer interfaces (BCIs) have traditionally been developed for paralyzed and locked-in individuals with no motor control. However, there is a much larger population of patients with some residual motor function as well as the general population of able-bodied individuals, both of whom could benefit significantly from BCIs. An important question that has yet to be systematically studied is: can subjects use BCIs simultaneously with overt motor activity? We present results from a preliminary study aimed at exploring this question. Three subjects used hand motor imagery in an electroencephalographic (EEG) BCI while simultaneously using a joystick to control a cursor. Particular attention was paid to preventing potential muscle artifacts from influencing imagery-based control. All three subjects were able to use the hybrid "imagery+joystick" mode of control over two days, demonstrating the ability to learn and significantly improve performance. These results suggest that subjects can potentially augment their normal human sensorimotor capability by exercising direct brain control over devices concurrently with overt motor control.

关键词： Simultaneous Brain-computer Interfacing Motor Control

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Divisive Approach of Clustering for Educational Data

Divisive Approach of Clustering for Educational Data

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International Conference on Emerging Trends in engineering and Technology, ICETET

作者： Sunita V. Lahane M.U. Kharat Prasad S. Halgaonkar Computer Science Sant Gadge Baba Amravati University Amravati Maharashtra India Department of Computer Engineering MIT Bhujbal Knowledge City Nashik Maharashtra India Computer Engineering Pune University Pune Maharashtra India

In the field of data mining, clustering of educational data has not given much of the importance. Considering the growth of educational field as a business, clustering of educational data must be focused as it can give effective results as in the case of mining enrolled students on the basis of education they undertake. A new algorithm is proposed and implemented by us for clustering educational data. This algorithm is based on a continuous looping procedure. Raw dataset is assigned to clustering algorithm initially and a novel cluster is identified for partition whose cluster high degree is less. Then improvement of degree of cluster is carried out. In this algorithm on the basis of homogeneity, cluster high degree is defined. Experiment is carried out on educational data, which provides good high degree clusters.

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Evaluating decisions: Characteristics, evaluation of outcome and serious games

Evaluating decisions: Characteristics, evaluation of outcome...

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14th International Conference on Information Processing and Management of Uncertainty in knowledge-Based Systems, IPMU 2012

作者： Inthorn, Julia Haun, Stefan Hoppe, Anett Nürnberger, Andreas Dick, Michael Data and Knowledge Engineering Group Faculty of Computer Science Otto-von-Guericke-University Germany Department for Ethics and History of Medicine University Medical Center Goettingen Germany Institute for Research and Development of Collaborative Processes School of Applied Psychology University of Applied Sciences and Arts Northwestern Switzerland Switzerland

ISBN: (纸本)9783642317149

The characteristics of decisions and the evaluation of their outcome are highly complex. In this paper, we first give a short analysis of different types of decisions such as long-term and short-term decisions or dilemmas by discussing different scenarios and examples. We identify characteristics of decisions and give a short account of the usually quite complex decision scenarios involved and the high uncertainty of long-term predictions. We introduce serious games as a tool for evaluation of decisions through simulation. By using serious games long-term effects of decisions can be evaluated and known measurement criteria for short-term decision can be transformed to support long-term decisions. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Information management

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(= (+ Intelligence ?) Wisdom)

(= (+ Intelligence ?) Wisdom)

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14th International Conference on Information Processing and Management of Uncertainty in knowledge-Based Systems, IPMU 2012

作者： Hoppe, Anett Haun, Stefan Inthorn, Julia Nürnberger, Andreas Dick, Michael Data and Knowledge Engineering Group Faculty of Computer Science Otto-von-Guericke-University Germany Department for Ethics and History of Medicine University Medical Center Goettingen Germany Institute for Research and Development of Collaborative Processes School of Applied Psychology University of Applied Sciences and Arts Northwestern Switzerland Switzerland

ISBN: (纸本)9783642317149

The concept of wisdom has been a term of reflection since the first philosophical definition attempts by Aristotle (384 BC - 322 BC). Different religions and sciences offered possible properties and facets of wisdom - without ever coming to an agreement on how to define the term. As especially cognitive sciences provided new insights during the last decades the time might have come for a revised, more conclusive definition or at least modelization of wisdom, using and integrating the insights of different disciplines out of humanities, cognitive and natural science to create a common base for further interdisciplinary research. Furthermore, we discuss possible measures that are able to cover a least fundamental properties of wisdom including its vague aspects. © 2012 Springer-Verlag.

关键词： Artificial intelligence

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(= (+ intelligence ) Wisdom)

(= (+ intelligence ) Wisdom)

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14th International Conference on Information Processing and Management of Uncertainty in knowledge-Based Systems, IPMU 2012

ISBN: (纸本)9783642317149

关键词： Information management

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Dataset, Ground-Truth and Performance Metrics for Table Detection Evaluation

Dataset, Ground-Truth and Performance Metrics for Table Dete...

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IAPR International Workshop on Document Analysis Systems, DAS

作者： Jing Fang Xin Tao Zhi Tang Ruiheng Qiu Ying Liu Institute of Computer Science & Technology Peking University Beijing China Institute of Computer Science & technology State Key Laboratory of Digital Publishing Technology Peking University Beijing China Department of Knowledge Service Engineering KAIST Daejeon South Korea

Table detection is an important task in the field of document analysis. It has been extensively studied since a couple of decades. Various kinds of document mediums are involved, from scanned images to web pages, from plain texts to PDF files. Numerous algorithms published bring up a challenging issue: how to evaluate algorithms in different context. Currently, most work on table detection conducts experiments on their in-house dataset. Even the few sources of online datasets are targeted at image documents only. Moreover, Precision and recall measurement are usual practice in order to account performance based on human evaluation. In this paper, we provide a dataset that is representative, large and most importantly, publicly available. The compatible format of the ground truth makes evaluation independent of document medium. We also propose a set of new measures, implement them, and open the source code. Finally, three existing table detection algorithms are evaluated to demonstrate the reliability of the dataset and metrics.

关键词： Measurement Text analysis Layout Detection algorithms Portable document format Algorithm design and analysis Benchmark testing

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Drive System Assistance Tool for Meta-Analysis of Dimensioning and Maintenance Indicators

Drive System Assistance Tool for Meta-Analysis of Dimensioni...

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Annual Conference on IEEE Industrial Electronics Society

作者： Fazel Ansari Randitya A. Dewa Madjid Fathi Institute of Knowledge Based Systems & Knowledge Management Department of Electrical Engineering & Computer Science University of Siegen

ISBN: (纸本)9781467324199

This paper discusses design, development and prototyping of a drive designer assistance tool: MainDriveASSIST. The prototype consists of features that enable drive engineer in selection of drive system components based on meta-analysis of vendors' offers as well as customer's requirements. Meta-analysis is performed through by using benchmarking dashboard comprises technical and non-technical indicators for selection of drive system components. The benchmarking dashboard broadens and deepens drive engineer's knowledge for optimal selection of drive components and improves decision-making activities. Technical indicators are mainly acquired from dimensioning of the drive system (drive system specifications) as well as the basic requirements e.g. for power consumption and operational availability (maintenance related factors). Non-technical indicators are mainly to consider business administration activities especially through indication of investment and preventive/corrective maintenance costs of drive systems which are directly affect customer's/company's business process. The prototype of MainDriveASSIST is designed and developed within an industrial oriented project at the institute of knowledge Based Systems and knowledge Management.

关键词： Benchmark testing Torque Unified modeling language Service robots Topology Robustness

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DETECTING CRITICAL LEAST ASSOCIATION RULES IN MEDICAL DATABASES

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International Journal of Modern Physics: Conference Series 2012年第9期ijmpcs卷 464-479页

作者： ZAILANI ABDULLAH TUTUT HERAWAN MUSTAFA MAT DERIS Department of Computer Science Universiti Malaysia Terengganu Mengabang Telipot Kuala Terengganu 21030 Terengganu Malaysia Database and Knowledge Management Research Group Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja 86400 Batu Pahat Johor Malaysia

Least association rules are corresponded to the rarity or irregularity relationship among itemset in database. Mining these rules is very difficult and rarely focused since it always involves with infrequent and exceptional cases. In certain medical data, detecting these rules is very critical and most valuable. However, mathematical formulation and evaluation of the new proposed measurement are not really impressive. Therefore, in this paper we applied our novel measurement called Critical Relative Support (CRS) to mine the critical least association rules from medical dataset. We also employed our scalable algorithm called Significant Least Pattern Growth algorithm (SLP-Growth) to mine the respective association rules. Experiment with two benchmarked medical datasets, Breast Cancer and Cardiac Single Proton Emission Computed Tomography (SPECT) Images proves that CRS can be used to detect to the pertinent rules and thus verify its scalability.

关键词： Critical least association rules medial data

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Herb 2.0: Lessons learned from developing a mobile manipulator for the home

Herb 2.0: Lessons learned from developing a mobile manipulat...

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作者： Srinivasa, Siddhartha S. Berenson, Dmitry Cakmak, Maya Collet, Alvaro Dogar, Mehmet R. Dragan, Anca D. Knepper, Ross A. Niemueller, Tim Strabala, Kyle Vande Weghe, Mike Ziegler, Julius Robotics Institute Carnegie Mellon University Pittsburgh PA 15213 United States Electrical Engineering and Computer Science Department University of California Berkeley Berkeley 94703 United States School of Interactive Computing Georgia Institute of Technology Atlanta GA 30332 United States Knowledge-based Systems Group RWTH Aachen University Aachen 52062 Germany Department of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe D-76128 Germany

We present the hardware design, software architecture, and core algorithms of Herb 2.0, a bimanual mobile manipulator developed at the Personal Robotics Lab at Carnegie Mellon University, Pittsburgh, PA. We have developed Herb 2.0 to perform useful tasks for and with people in human environments. We exploit two key paradigms in human environments: that they have structure that a robot can learn, adapt and exploit, and that they demand general-purpose capability in robotic systems. In this paper, we reveal some of the structure present in everyday environments that we have been able to harness for manipulation and interaction, comment on the particular challenges on working in human spaces, and describe some of the lessons we learned from extensively testing our integrated platform in kitchen and office environments. © 2012 IEEE.

关键词： Motion planning

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