Jul
31
New Possibilities of Intelligent Crisis Management by Large Multimedia Artifacts Prebuffering
July 31, 2009 | Comments Off
p class=”abstract”div class=”Abstract”The ability to let a mobile device determine its location in an indoor environment supports the creation of a new range of
mobile information system applications. Our goal is to complement the data networking capabilities of RF wireless LANs with
accurate user location and tracking capabilities for user needed data prebuffering. We created a location based system enhancement
for locating and tracking users of our control system inside the buildings. User location is used for data prebuffering and
pushing information from server to user’s PDA. All server data is saved as artifacts (together) with its position information
in building. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia
data. This fact is very important for new possibilities of intelligent crisis management. Rescuers can handle with new types
of artifacts which can increase rescue possibilities.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Book Chapter/span/liliDOI 10.1007/978-3-642-03978-2_6/lilispan class=”labelName”Authors/spanul
liOndrej Krejcar, VSB Technical University of Ostrava Centre for Applied Cybernetics, Department of measurement and control 17. Listopadu 15 70833 Ostrava Poruba Czech Republic/liliJindrich Cernohorsky, VSB Technical University of Ostrava Centre for Applied Cybernetics, Department of measurement and control 17. Listopadu 15 70833 Ostrava Poruba Czech Republic/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book Series /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/j0m65u/”Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1867-822X/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”1867-8211/span/li
/ulul class=”details”
lispan class=”header labelName”Book Series Volume /spanspan class=”labelValue”Volume 11/span/li
/ulul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/x8731p/”IT Revolutions/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-3-642-03978-2/span/lilispan class=”labelName”Online ISBN /spanspan class=”labelValue”978-3-642-03978-2/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-3-642-03977-5/span/li
/ulul class=”details”
lispan class=”header labelName”Book Part /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/l72341w704ku/”Part 1/a/span/li
/ul
/ul
Jul
31
Hindu Diaspora in The United States
July 31, 2009 | Comments Off
p class=”abstract”Hindu Diaspora in The United States/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Reference Work Entry/span/liliDOI 10.1007/978-0-387-29904-4_45/lilispan class=”labelName”Authors/spanul
liArvind Rajagopal/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/q0k9t1/”Encyclopedia of Diasporas/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-0-387-29904-4/span/lilispan class=”labelName”Online ISBN /spanspan class=”labelValue”978-0-387-29904-4/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-0-306-48321-9/span/li
/ulul class=”details”
lispan class=”header labelName”Reference Work Part /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/rv51421wvpl5/”Part II/a/span/li
/ul
/ul
Jul
30
Using second-hand information in collaborative recommender systems
July 30, 2009 | Comments Off
p class=”abstract”div class=”Abstract”a name=”Abs1″/aspan class=”AbstractHeading”Abstractnbsp;nbsp;/spanBuilding recommender systems (RSs) has attracted considerable attention in the recent years. The main problem with these systems
lies in those items for which we have little information and which cause incorrect predictions. One accredited solution involves
using the items’ content information to improve these recommendations, but this cannot be applied in situations where the
content information is unavailable. In this paper we present a novel idea to deal with this problem, using only the available
users’ ratings. The objective is to use all possible information in the dataset to improve recommendations made with little
information. For this purpose we will use what we call second-hand information: in the recommendation process, when a similar
user has not rated the target item, we will guess his/her preferences using the information available. This idea is independent
from the RS used and, in order to test it, we will employ two different collaborative RS. The results obtained confirm the
soundness of our proposal.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Journal Article/span/liliCategory Focus/liliDOI 10.1007/s00500-009-0474-5/lilispan class=”labelName”Authors/spanul
liL. M. de Campos, Universidad de Granada Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática y de Telecomunicación, CITIC-UGR 18071 Granada Spain/liliJ. M. Fernández-Luna, Universidad de Granada Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática y de Telecomunicación, CITIC-UGR 18071 Granada Spain/liliJ. F. Huete, Universidad de Granada Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática y de Telecomunicación, CITIC-UGR 18071 Granada Spain/liliM. A. Rueda-Morales, Universidad de Granada Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática y de Telecomunicación, CITIC-UGR 18071 Granada Spain/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Journal /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/101181/”Soft Computing – A Fusion of Foundations, Methodologies and Applications/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1433-7479/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”1432-7643/span/li
/ul
/ul
Jul
29
Evaluation of impact factors on RSS accuracy for localization and tracking applications in sensor networks
July 29, 2009 | Comments Off
p class=”abstract”div class=”Abstract”a name=”Abs1″/aspan class=”AbstractHeading”Abstractnbsp;nbsp;/spanThe use of Received Signal Strength Indicator (RSSI), obtained automatically with the received messages in most sensor radios,
is a popular way for estimating the location of a mobile wireless object. The great variation of Received Signal Strength
(RSS), which may result in inaccurate estimations, is compensated by the fact that RSS does not require any additional hardware,
and may reduce the sensor node power consumption, size and cost. The present work investigates the impact of variety of parameters
on RSS by experimenting with Tmote Sky nodes in real-field outdoor environments. Besides the operating frequency, the transmitter–receiver
distance, the variation of transceivers, the antenna orientation, and the environment specifics were found as important factors
for creating accurate models, which would serve in tracking and localization applications.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Journal Article/span/liliDOI 10.1007/s11235-009-9183-8/lilispan class=”labelName”Authors/spanul
liTsenka Stoyanova, University of Patras Applied Electronics Laboratory 26500 Rion-Patras Greece/liliFotis Kerasiotis, University of Patras Applied Electronics Laboratory 26500 Rion-Patras Greece/liliAggeliki Prayati, University of Patras Applied Electronics Laboratory 26500 Rion-Patras Greece/liliGeorge Papadopoulos, University of Patras Applied Electronics Laboratory 26500 Rion-Patras Greece/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Journal /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/101753/”Telecommunication Systems/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1572-9451/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”1018-4864/span/li
/ul
/ul
Jul
26
Interaktive Wertschöpfung in der Innovation: Open Innovation
July 26, 2009 | Comments Off
p class=”abstract”div class=”Abstract”Die kleinste Forschungsabteilung des Weltkonzerns Procter Gamble liegt in Roseto in den italienischen Abruzzen (Uehlecke
2007). Abends verwandelt dort Giorgia Sgargetta ihre Einbauküche in ein Labor. Sie holt ihre Ausrüstung vom Speicher: ein
paar Glaskolben, eine Präzisionswaage und die Flaschen mit den Chemikalien. Und dann löst sie Probleme, an denen die bestbezahlten
Wissenschaftler in High-Tech- Labors bisher gescheitert sind. Ihre Aufträge findet die 34-Jährige auf der Internetseite der
amerikanischen Firma bInnoCentive/b. Auf ihrer Website entledigen sich rund 30 Konzerne, darunter Procter Gamble, Dupont, Henkel und BASF, Forschungsfragestellungen
in den Kategorien Chemie und Biologie. Dabei handelt es sich in der Regel um spezifische kleinere, aber anspruchsvolle technische
Probleme. Lösungsvorschläge darf jeder einsenden, Hausfrauen und Universitätsprofessoren, Rentner und Erstsemesterstudenten
(siehe Kasten 4–1 für ein weiteres Beispiel). Rund 140.000 Freizeiterfinder aus 175 Ländern haben sich bereits registriert.
Darunter auch Angestellte wie Giorgia Sgargetta, die von ihrem Job als Qualitätsmanagerin in einer Pflanzenschutzmittelfabrik
unterfordert ist. Wer innerhalb einer festgelegten Zeit die beste Lösung findet, bekommt vom suchenden Unternehmen eine Prämie
zwischen 10- 50.000 US$.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Book Chapter/span/liliDOI 10.1007/978-3-8349-9440-0_4/lilispan class=”labelName”Authors/spanul
liRalf Reichwald/liliFrank Piller/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/q3941g/”Interaktive Wertschöpfung/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-3-8349-9440-0/span/lilispan class=”labelName”Online ISBN /spanspan class=”labelValue”978-3-8349-9440-0/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-3-8349-0972-5/span/li
/ul
/ul
Jul
26
Mashup Model and Verification Using Mashup Processing Network
July 26, 2009 | Comments Off
p class=”abstract”div class=”Abstract”Mashups are defined to be lightweight Web applications aggregating data from different Web services, built using ad-hoc composition
and being not concerned with long term stability and robustness. In this paper we present a pattern based approach, called
Mashup Processing Network (MPN). The idea is based on Event Processing Network and is supposed to facilitate the creation,
modeling and the verification of mashups. MPN provides a view of how different actors interact for the mashup development
namely the producer, consumer, mashup processing agent and the communication channels. It also supports modeling transformations
and validations of data and offers validation of both functional and non-functional requirements, such as reliable messaging
and security, that are key issues within the enterprise context. We have enriched the model with a set of processing operations
and categorize them into data composition, transformation and validation categories. These processing operations can be seen
as a set of patterns for facilitating the mashup development process. MPN also paves a way for realizing Mashup Oriented Architecture
where mashups along with services are used as building blocks for application development.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Book Chapter/span/liliDOI 10.1007/978-3-642-03354-4_47/lilispan class=”labelName”Authors/spanul
liEhtesham Zahoor, LORIA, INRIA Nancy Grand Est Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex France/liliOlivier Perrin, LORIA, INRIA Nancy Grand Est Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex France/liliClaude Godart, LORIA, INRIA Nancy Grand Est Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex France/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book Series /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/j0m65u/”Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1867-822X/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”1867-8211/span/li
/ulul class=”details”
lispan class=”header labelName”Book Series Volume /spanspan class=”labelValue”Volume 10/span/li
/ulul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/uq4163/”Collaborative Computing: Networking, Applications and Worksharing/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-3-642-03354-4/span/lilispan class=”labelName”Online ISBN /spanspan class=”labelValue”978-3-642-03354-4/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-3-642-03353-7/span/li
/ulul class=”details”
lispan class=”header labelName”Book Part /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/pk21n7r81722/”Part 3/a/span/li
/ul
/ul
Jul
26
CalSWIM: A Wiki–Based Data Sharing Platform
July 26, 2009 | Comments Off
p class=”abstract”div class=”Abstract”Organizations increasingly create massive internal digital data repositories and are looking for technical advances in managing,
exchanging and integrating explicit knowledge. While most of the enabling technologies for knowledge management have been
used around for several years, the ability to cost effective data sharing, integration and analysis into a cohesive infrastructure
evaded organizations until the advent of Web 2.0 applications. In this paper, we discuss our investigations into using a Wiki
as a web–based interactive knowledge management system, which is integrated with some features for easy data access, data
integration and analysis. Using the enhanced wiki, it possible to make organizational knowledge sustainable, expandable, outreaching
and continually up–to–date. The wiki is currently under use as California Sustainable Watershed Information Manager. We evaluate
our work according to the requirements of knowledge management systems. The result shows that our solution satisfies more
requirements compared to other tools.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Book Chapter/span/liliDOI 10.1007/978-3-642-03354-4_4/lilispan class=”labelName”Authors/spanul
liYasser Ganjisaffar, University Of California Irvine USA/liliSara Javanmardi, University Of California Irvine USA/liliStanley Grant, University Of California Irvine USA/liliCristina Videira Lopes, University Of California Irvine USA/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book Series /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/j0m65u/”Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1867-822X/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”1867-8211/span/li
/ulul class=”details”
lispan class=”header labelName”Book Series Volume /spanspan class=”labelValue”Volume 10/span/li
/ulul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/uq4163/”Collaborative Computing: Networking, Applications and Worksharing/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-3-642-03354-4/span/lilispan class=”labelName”Online ISBN /spanspan class=”labelValue”978-3-642-03354-4/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-3-642-03353-7/span/li
/ulul class=”details”
lispan class=”header labelName”Book Part /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/q1721315845v/”Part 1/a/span/li
/ul
/ul
Jul
26
Establishment and Maintenance of a Knowledge Network by Means of Agents and Implicit Data
July 26, 2009 | Comments Off
p class=”abstract”div class=”Abstract”Semantic KnowCat (SKC) is a groupware system prototype for Knowledge Management on the Web by means of semantic information
without supervision. The main aim of SKC is to select the knowledge contained in the system by paying attention to its use.
This paper presents the SKC Network Module (NM), which is in charge of discovering other instances of the system on the Internet
and establishing contact with them to create a knowledge network on the Web. In order to do this, each instance of the system
is represented by a software agent, which is in charge of interacting with Web search engines and collaborating with the agents
that represent other system instances, thereby using data mining techniques. As a result, SKC manages to build and maintain
a network node to share knowledge.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Book Chapter/span/liliDOI 10.1007/978-1-4419-0522-2_10/lilispan class=”labelName”Authors/spanul
liJaime Moreno–Llorena, Universidad Autónoma de Madrid Department of Computer Science 28049 Madrid Spain/liliXavier Alamán, Universidad Autónoma de Madrid Department of Computer Science 28049 Madrid Spain/liliRuth Cobos, Universidad Autónoma de Madrid Department of Computer Science 28049 Madrid Spain/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/l738k5/”Data Mining and Multi-agent Integration/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-1-4419-0522-2/span/lilispan class=”labelName”Online ISBN /spanspan class=”labelValue”978-1-4419-0522-2/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-1-4419-0523-9/span/li
/ulul class=”details”
lispan class=”header labelName”Book Part /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/x014w678v1u5/”Part 2/a/span/li
/ul
/ul
Jul
25
Relational Scaling in Relational Semantic Systems
July 25, 2009 | Comments Off
p class=”abstract”div class=”Abstract”In this paper two developments in Conceptual Knowledge Processing are combined, namely Contextual Logic introduced by Rudolf
Wille and Temporal Concept Analysis introduced by the author. The basic structures connecting both theories are Relational
Semantic Systems (RSS), each consisting of conceptual scales and a Relational Data Systems (RDS) for the representation of
relational knowledge. We introduce the notion of a concept graph of a RSS. As opposed to the definition of a concept graph
of a power context family the concepts used in the concept graph of a RSS are taken from the conceptual scales and not from
the concept lattices of the contexts of k-ary relations. For the graphical representation of relational knowledge in information
maps we modify tools from Temporal Concept Analysis and develop irelational trace diagrams/i. Its usefulness is shown in a small example of a Relational Semantic System.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Book Chapter/span/liliDOI 10.1007/978-3-642-03079-6_24/lilispan class=”labelName”Authors/spanul
liKarl Erich Wolff, Darmstadt University of Applied Sciences Mathematics and Science Faculty Schoefferstr. 3 D-64295 Darmstadt Germany/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Book Series /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/105633/”Lecture Notes in Computer Science/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1611-3349/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”0302-9743/span/li
/ulul class=”details”
lispan class=”header labelName”Book Series Volume /spanspan class=”labelValue”Volume 5662/2009/span/li
/ulul class=”details”
lispan class=”header labelName”Book /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/u20162638736/”Conceptual Structures: Leveraging Semantic Technologies/a/span/lilispan class=”labelName”DOI /spanspan class=”labelValue”10.1007/978-3-642-03079-6/span/lilispan class=”labelName”Print ISBN /spanspan class=”labelValue”978-3-642-03078-9/span/li
/ul
/ul
Jul
25
Constrained estimation using judgment post-stratification
July 25, 2009 | Comments Off
p class=”abstract”div class=”Abstract”a name=”Abs1″/aspan class=”AbstractHeading”Abstractnbsp;nbsp;/spanIn ranked-set sampling (RSS) and judgment post-stratification (JPS), more efficient inference is obtained by creating a stratification
based on ranking information. Using this stratification exactly as is done in stratified sampling or standard post-stratification
leads to the standard nonparametric estimators for RSS and JPS. However, we show that strata obtained from ranking information
satisfy additional constraints that need not be met by ordinary strata. Specifically, the in-stratum cumulative distribution
functions (CDFs) can be no more extreme, in a certain sense, than the CDFs for order statistics from the overall distribution.
The additional constraints can be used to obtain better small-sample estimates of the in-stratum CDFs using either RSS or
JPS. In the JPS case, the constraints also lead to better small-sample estimates of the overall CDF and the population mean.
/div/pul
lispan class=”labelName”Content Type /spanspan class=”labelValue”Journal Article/span/liliDOI 10.1007/s10463-009-0255-z/lilispan class=”labelName”Authors/spanul
liJesse Frey, Villanova University Department of Mathematical Sciences Villanova PA 19085 USA/liliOmer Ozturk, The Ohio State University Department of Statistics Columbus OH 43210 USA/li
/ul/li
/ulul class=”parents”
ul class=”details”
lispan class=”header labelName”Journal /spanspan class=”labelValue”a href=”http://www.springerlink.com/content/102845/”Annals of the Institute of Statistical Mathematics/a/span/lilispan class=”labelName”Online ISSN /spanspan class=”labelValue”1572-9052/span/lilispan class=”labelName”Print ISSN /spanspan class=”labelValue”0020-3157/span/li
/ul
/ul