this paper describes Qsense - an educational and research Web application, developed to ease the interrogation of DBpedia for users intending to learn the most important concepts regarding the Semantic Web, especially...
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ISBN:
(纸本)9789898565723
this paper describes Qsense - an educational and research Web application, developed to ease the interrogation of DBpedia for users intending to learn the most important concepts regarding the Semantic Web, especially to increase the knowledge about DBpedia in a pragmatic way. Additionally, by providing a compelling Web interface, Qsense offers the possibility to explore the DBpedia's ontology structure and to practice various SPARQL queries by expert and especially nonexpert users.
this paper describes the misconception diagnosis mechanism incorporated in a multilingual learning Facebook application. In order to achieve misconception diagnosis, the authors of this paper have incorporated machine...
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ISBN:
(纸本)9781479907694
this paper describes the misconception diagnosis mechanism incorporated in a multilingual learning Facebook application. In order to achieve misconception diagnosis, the authors of this paper have incorporated machinelearning techniques in the aforementioned Facebook application. the confusion of Facebook users between multiple language learning is extensively examined. Misconception handling within the application renders the users capable of being aware of their misconceptions and prevents them from re-conducting them. Furthermore, the collaboration between users in language confusion conditions is ameliorated by the user clustering through the Facebook platform.
Facebook applications are more convenient and flexible to use, since students tend to invest a good deal of time in the use of such technologies, given that Facebook retains the educational quality, as it is widely us...
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ISBN:
(纸本)9781479907694
Facebook applications are more convenient and flexible to use, since students tend to invest a good deal of time in the use of such technologies, given that Facebook retains the educational quality, as it is widely used in instructional contexts. To this direction, our Facebook application promotes language learning. Furthermore, it incorporates machinelearning techniques in order to offer user classification based on multiple user characteristics. Our resulting Facebook language learningapplication has been evaluated by both instructors and Facebook users. the results of the evaluation showed that Facebook provides opportunities within curriculum education and learning and user classification in such applications promotes the cognitive procedure.
As online services become increasingly common, the complexity of backend distributed server applications in data centers has also continued to grow. At the same time, there is an increasing need to enhance the managea...
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ISBN:
(纸本)9781450316361
As online services become increasingly common, the complexity of backend distributed server applications in data centers has also continued to grow. At the same time, there is an increasing need to enhance the manageability of these large applications by automating common management tasks, which requires a good understanding of the run-time behavior of the application under different scenarios. However, the rising complexity of these applications makes the tasks of manually modeling and analyzing their run-time behavior increasingly difficult. In this talk, I will argue for the need to automate the modeling of the run-time performance of distributed data center applications. I will present techniques for automatically deriving application models using statistical methods from machinelearning. I will describe how we have put these ideas into practice into two systems that we have built, Modellus and Predico, and will present case studies of using these systems for management tasks such as capacity planning and what-if analysis of data center applications.
Terrestrial laser scanning (TLS, also called ground-based Light Detection and Ranging, LIDAR) is an effective data acquisition method capable of high precision, detailed 3D models for surveying natural environments. H...
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ISBN:
(纸本)9781479903016
Terrestrial laser scanning (TLS, also called ground-based Light Detection and Ranging, LIDAR) is an effective data acquisition method capable of high precision, detailed 3D models for surveying natural environments. However, despite the high density, and quality, of the data itself, the data acquired contains no direct intelligence necessary for further modeling and analysis - merely the 3D geometry (XYZ), 3-component color (RGB), and laser return signal strength (I) for each point. One common task for LIDAR data processing is the selection of an appropriate methodology for the extraction of geometric features from the irregularly distributed point clouds. Such recognition schemes must accomplish both segmentation and classification. Planar (or other geometrically primitive) feature extraction is a common method for point cloud segmentation;however, current algorithms are computationally expensive and often do not utilize color or intensity information. In this paper we present an efficient algorithm, that takes advantage of both colorimetric and geometric data as input and consists of three principal steps to accomplish a more flexible form of feature extraction. First, we employ a Simple Linear Iterative Clustering (SLIC) superpixel algorithm for clustering and dividing the colorimetric data. Second, we use a plane-fitting technique on each significantly smaller cluster to produce a set of normal vectors corresponding to each superpixel. Last, we utilize a Least Squares Multi-class Support Vector machine (LSMSVM) to classify each cluster as either "ground", "wall", or "natural feature". Despite the challenging problems presented by the occlusion of features during data acquisition, our method effectively generates accurate (>85%) segmentation results by utilizing the color space information, in addition to the standard geometry, during segmentation.
作者：
Wu YuTongji Univ
Comp Sci & Technol Dept Shanghai 200092 Peoples R China
the new technologies set the stage for Mobile learning. In this paper, we explored a Mobile Teaching-learning pattern and its advantages. And then we modeled courses with Atom and Atom Publishing Protocol. Grounded on...
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ISBN:
(纸本)9780819490261
the new technologies set the stage for Mobile learning. In this paper, we explored a Mobile Teaching-learning pattern and its advantages. And then we modeled courses with Atom and Atom Publishing Protocol. Grounded on the pattern and modeling, we implemented mobile learning client side with Apple technologies, which could achieve anytime, anywhere learning. And at last, we discussed the application of our system.
E-learning device is widely used in our daily life. However mobile e-learningmachine is not satisfied as expected. Most mobile e-learning device is a static learning device, unable to fulfill the requirement of colla...
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ISBN:
(纸本)9780819490261
E-learning device is widely used in our daily life. However mobile e-learningmachine is not satisfied as expected. Most mobile e-learning device is a static learning device, unable to fulfill the requirement of collaboration, long standby time, usage under strong sunlight. To meet these requirements, we developed a learningmachine based on electronic paper. this paper will discuss the software consideration of the device. the software is a knowledge navigation system, the navigation system is based on Ontology. Research shows that combine frame Ontology and description logic together can afford a uniform interface to user application.
the conventional learning algorithm based on BP method may converge to a local minimum, slowly converging speed and is shock before and after the Convergence point. A algorithm based on BP and PID techniques for wavel...
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We consider the technology enhanced learning of first year engineering mathematics and in particular the application of E-learning objects and principles in the course Mathematics 1 which has a yearly intake of 750 st...
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ISBN:
(纸本)9789898565068
We consider the technology enhanced learning of first year engineering mathematics and in particular the application of E-learning objects and principles in the course Mathematics 1 which has a yearly intake of 750 students at the technical University of Denmark. We show that with non-linear multimedia technology and e-learning principles it is possible to strengthen and enhance the students' desire and ability to prepare for the teaching and to read and enjoy the textual representations of the course materials.
Within the project IGaDtools4MINT one of our goals is a pedagogical redesign of the introductory phase of CS studies. this paper describes an approach to develop and use serious games on multi touch tables to support ...
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ISBN:
(纸本)9789898565068
Within the project IGaDtools4MINT one of our goals is a pedagogical redesign of the introductory phase of CS studies. this paper describes an approach to develop and use serious games on multi touch tables to support collaborative learning processes at university. After giving a short overview over the context of the project, we briefly describe the educational and technological concepts behind the development process. As an example a multi touch application for learning resolution in propositional logic through collaboration and competition is introduced.
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