ppxscal/embedding_network huggingface dataset:
Anatomy of a mobilized lesson: Learning my way
Authors: Chee-Kit Looi, Lung-Hsiang Wong, Hyo-Jeong So, Peter Seow, Yancy Toh, Wenli Chen, Baohui Zhang, Cathie Norris, Elliot Soloway
Venue: Computers Education (2009)

With the mass adoption of mobile computing devices by the current school generation, significant opportunities have emerged for genuinely supporting differentiated and personalized learning experiences through mobile devices. In our school-based research work in introducing mobilized curricula to a class, we observe one compelling mobilized lesson that exploits the affordances of mobile learning to provide multiple learning pathways for elementary grade (primary) 2 students. Through the lesson, students move beyond classroom activities that merely mimic what the teacher says and does in the classroom, and yet they still learn in personally meaningful ways. In deconstructing the lesson, we provide an in-depth analysis of how the affordances of mobile computing enable personalized learning from four facets: (a) allowing multiple entry points and learning pathways, (b) supporting multi-modality, (c) enabling student improvisation in situ, and (d) supporting the sharing and creation of student artifacts on the move. A key property of mobile technology that enables these affordances lies with the small form factor and the lightweightness of these devices which make them non-obtrusive in the learning spaces of the student. This article makes a contribution on the design aspects of mobilized lessons, namely, what the affordances of mobile technologies can enable.
CREACTOR --- An Authoring Framework for Virtual Actors
Authors: Ido A. Iurgel, Rogério E. Silva, Pedro R. Ribeiro, Abel B. Soares, Manuel Filipe Santos
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

We present ongoing work on CREACTOR, a research oriented authoring system for virtual actors. CREACTOR will provide a framework for experimenting with different authoring processes and AI-technologies. The main goal is the creation of virtual actors that can be employed for the development of 3D movies, following the analogy of a real director who can issue a variety of commands to real actors. Here, we present a concept called AI-tweening: employing AI to create in-between behaviors.
Case study on distributed and fault tolerant system modeling based on timed automata
Authors: Libor Waszniowski, Jan Krákora, Zdenk Hanzálek
Venue: Journal of Systems and Software (2009)

This article presents the modeling of a distributed fault-tolerant real-time application by timed automata. The application under consideration consists of several processors communicating via a Controller Area Network (CAN); each processor executes an application that consists of fault-tolerant tasks running on top of an operating system (e.g. OSEK/VDX compliant) and using inter-task synchronization primitives. For such a system, a model checking tool (e.g. UPPAAL) can be used to verify the complex time and logical properties formalized as safety or bounded liveness properties (e.g. end-to-end response time considering an occurrence of a fault). The proposed model reduces the size of the state-space by sharing clocks measuring the execution time of the tasks.
Ultra-Wideband Pulse-based Radio: Reliable Communication over a Wideband Channel, 1st edition
Authors: Wim Vereecken, Michiel Steyaert
Venue:  (2009)

Ultra-Wideband Pulse-based Radio lays the foundations of a new radio transceiver architecture, based on the Ultra-Wideband pulse-based radio principle. Instead of a continuous-time modulated carrier, the pulse-based radio system uses short electromagnetic pulses with a wide spectral footprint. This has considerable advantages for the reliability of a wireless link in an indoor environment. However, what is not accounted for in most high-level theoretical perspectives, is that a wide transmission bandwidth opens up a Pandoras box of many complications at receiver side. A real-world wireless channel, for example, suffers from multipath reflections: multiple, delayed versions of the same signal arrive at the receive antenna and start to interfere with one another, an effect that is known as intersymbol interference. Also, a wide transmission band is a wide open door for in-band interfering signals, caused by other transmitters in the same frequency band.
Algorithmic art
Authors: Genevieve Orr, Robert Bryant, Richard Weiss
Venue: Journal of Computing Sciences in Colleges (2009)

The goal of this workshop is to learn about a fun and educational courses that are designed to expose non-traditional computer students to computing through the field of art. The workshop will cover the following topics: &bull; Mental Models that beginning programming students have about programming. &bull; Using Scratch as an introduction into programming concepts. &bull; Why teaching in context might have more success in reaching students then a traditional CS0 or CS1 course. Cross referencing projects and concepts to make the transition from art creation to computational thinking. &bull; Using the programming language Processing to do Algorithmic Art while incorporating traditional art design concepts. How to use symmetry from abstract algebra combined with transformations (translate, scale, rotate) to create Escher-like images. The taxonomy of algorithms that exist and their relationship to programming concepts, algorithms, and art.
A Comparison of Artifact Reduction Methods for Real-Time Analysis of fNIRS Data
Authors: Takayuki Nozawa, Toshiyuki Kondo
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring users' brain activity in HCI. However, fNIRS measurement suffers from various kinds of artifacts, and no standardized method for artifact reduction has been established so far. In this study, we compared high-pass/band-pass filtering, global and local average references, independent component analysis (ICA) based method, and their combinations. Their effectiveness for artifact reduction was evaluated by a cognitive task recognition experiment. The results showed all the methods have artifact reduction capability, but their effectiveness depends on subjects and tasks. This suggests that it can be more practical to try various artifact reduction methods and chose the best one for each task and subject, instead of pursuing a single standardized method.
Reducing Communication Overhead in Threshold Monitoring with Arithmetic Aggregation
Authors: Yuanqiang Huang, Yongjian Wan, Yinan Ren, BingHeng Yan, Zhongzhi Luan, Depei Qian
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

With increasing adoption of distributed systems, monitoring has become an important research topic in recent years. Monitoring itself introduces overhead to the system caused by communication for collecting measurement data between monitoring nodes and measuring nodes. Reducing communication frequency of monitoring is very significant, especially for threshold monitoring which only cares about whether some metric crosses certain threshold or not. Currently threshold monitoring only considers simple aggregation values such as sum or average of values of measurement data. However, in this paper, we take a further exploration to arithmetic aggregation which is more complicated arithmetic result of measurement data, not just the sum or average of them. We present an approach to solve the communication overhead problem of arithmetic aggregation in threshold monitoring, where corresponding algorithms are designed. In our approach, the global threshold can be split into many local thresholds which can be set remotely on distributed local monitoring nodes. Communication will only take place when the locally observed numerical value of measurement exceeds corresponding local thresholds. We argue that communications will be reduced significantly based on the assumption that numerical values of monitored measurements would not oscillate widely or rapidly all the time. By conducting experiments based on data from real scenes, we can demonstrate that our solutions outperform the traditional approaches.
Kernel Density Estimation Applied to Tropical Cyclones Genesis in Northwestern Pacific
Authors: Zhao Haikun, Wu Liguang, Zhou Weican
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

It is recognized that although the conditions necessary for generating cyclones are actually present in the tropical latitudes for much of the year, the storms themselves are comparatively rare. In addition, the skill of forecasting the occurrence of individual tropical cyclones remains poor, largely because of our continuing ignorance o the physics underpinning tropical cyclone genesis. This situation gives an obstacle to predicting future changes in the origin of tropical cyclones. In this paper, authors will give a projection of changes origin of tropical cyclone in the future. First, the estimation of tropical cyclones in northwestern pacific genesis probability function is obtained by using the nonparametric kernel smoothing method which makes no assumption on the prior distribution form of observations and is different from parametric methods used traditionally. Second, by choosing the different bandwidth, the fitting probability density estimation is different. Lastly, from the comparison, the conclusion obtained is that the smoothing parameter of kernel is very critical. The optimal bandwidth value can be perfectly fitting the true density of tropical cyclones genesis, and then the future changes of occurrence will be modeled.
A Performance Model for Run-Time Reconfigurable Hardware Accelerator
Authors: Gang Wang, Du Chen, Jian Chen, Jianliang Ma, Tianzhou Chen
Venue: Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies (2009)

The reconfigurable devices such as CPLD and FPGA become more popular for its great potential on accelerating applications. They are widely used as an application-specified hardware accelerator. Many run-time reconfigurable platforms are introduced such as the Intel® QuickAssist Technology. However, it's time consuming to design a hardware accelerator while the performance is hard to determine because of the extra overheads it involved. In order to estimate the efficiency of the accelerator, a theoretical analysis of such platforms was done in our paper. Three factors which impact the performance of the accelerator were concluded as well: speed up ratio, reconfiguration overhead and communication overhead. Furthermore, a performance model was established and an experiment on bzip2 was done to verify the model. The results showed that the model's estimation is very close to the real world and the average error on the efficiency's threshold is less than 5%.
Translation by machine of complex nominals: getting it right
Authors: Timothy Baldwin, Takaaki Tanaka
Venue: Proceedings of the Workshop on Multiword Expressions: Integrating Processing (2004)

We present a method for compositionally translating noun-noun (NN) compounds, using a word-level bilingual dictionary and syntactic templates for candidate generation, and corpus and dictionary statistics for selection. We propose a support vector learning-based method employing target language corpus and bilingual dictionary data, and evaluate it over a English &harr; Japanese machine translation task. We show the proposed method to be superior to previous methods and also robust over low-frequency NN compounds.
Fuzziness and Multi-neighborhood Strategy for Ridgeline Extraction DEMs Based
Authors: Luo Mingliang, Zhang Bin, Tang Guoan, Dong Youfu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Landform feature lines, as one kind of descriptors of landform skeletons, have been used in many fields, such as surveying, hydrology simulation, landform classification, and vegetation mapping. Due to the fuzziness and multi-scale characteristics of landform features, there are still some obstacles in the process of landform features exaction. The main weakness includes spatial extent, the vagueness of boundaries of landform feature lines. In this study, some efforts have been made to choose a relatively objective spatial extent in the ridgelines extraction. A multi-neighborhood method combined with fuzziness was used in the ridgelines extraction based on DEMs. The process included the following steps, choice of spatial scale, extraction watershed divides, determination degree of membership and extraction ridgelines according to given degree of membership. The result shows that this novel method can depict landform features in fine detail and the choice of spatial extent is more objective and reasonable.
A Modern Integration of Cognitive and Computer Sciences
Authors: G. Susanne Bahr, Matthew G. Bell, Jason Metz, Sarah Sowle, Elizabeth Beasley
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Cognitive and Computer sciences have a long history of shared concepts and shared terminology. This paper explores a radical way of interdisciplinary thinking that ventures beyond loosely modeled metaphorical applications of computer systems and the use of terminology with mere face validity. Our focus is on interdisciplinary conceptual, structure and process commonalities. We provide an example of the discovery of shared concepts, knowledge structures and a common mental model using semantic memory organization in humans and object oriented programming, in particular the principle of inheritance. We discuss whether JAVA applications forget and suggest further research topics.
ALVIC-NG: state management and immersive communication for massively multiplayer online games and communities
Authors: Peter Quax, Bart Cornelissen, Jeroen Dierckx, Gert Vansichem, Wim Lamotte
Venue: Multimedia Tools and Applications (2009)

ALVIC-NG is an architecture for networked games based on the classic client/server paradigm. While peer-to-peer and hybrid systems have been extensively researched, the client/server approach provides many advantages that are beneficial or even required from a content, application and service provider's point-of-view. ALVIC-NG consists of an extendable framework which allows for dynamic allocation of server capacity, combined with facilities for player activity management and moderation. This is achieved by introducing an intermediate layer of proxy servers in the architecture to intelligently channel the messages flow. Additionally, ALVIC-NG provides a means for immersive communication by enabling real-time voice chat between participants through an off-the-shelf conferencing system that is closely coupled to the state management facilities and spatial subdivision scheme. Besides a theoretical discussion, we also provide insight into the design of the simulation setup through which we are able to provide actual figures that demonstrate the viability of the proposed solution.
Conformity out of Diversity: Dynamics of Information Needs and Social Influence of Tags in Exploratory Information Search
Authors: Ruogu Kang, Thomas Kannampallil, Jibo He, Wai-Tat Fu
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

We studied the dynamic effects of information needs and social influence of tags in an exploratory search task. Although initially differences in information needs led to diversity in tag choices, this diversity disappeared as participants collaboratively tagged the same set of resources. Our findings are in general consistent with the notion that people conform to the collective interpretation of contents in an information system. In addition, our results showed that conformity does not only arise out of imitation of behavior, but also from the same underlying semantic interpretation or knowledge structures of users as they engage in informal collaboration through the social tagging system. Implications for design of social information system are discussed.
Enhancing rubber component reliability by response model
Authors: Chung-Ho Wang, Yi Hsu
Venue: Computers and Industrial Engineering (2009)

Product reliability, which is a dynamic quality characteristic, meaning that it is a function of time, is a determinant of manufacturer competitiveness. Multiple quality characteristics must be simultaneously considered in improving product reliability, because of these quality characteristics exhibiting a high correlation with product reliability. Therefore, enhancing the static quality characteristic of a product is essential for improving product reliability, particularly for formulating rubber components. For example, improving the reliability of oil seal components requires first simultaneously optimizing multiple quality characteristics, including hardness, tensile strength, and elongation, and so on. The subsequent reliability test is performed once these quality characteristics meet or exceed their specifications. This study primarily aims to improve the reliability of rubber components accounting for six-sigma quality level via the response model. The influences of noise factors are considered in experiment planning, and the effects of magnitude of process shift are involved in the optimization procedure to obtain a robust static quality characteristic and thus upgrade the reliability of rubber components. An experiment involving the formulation of oil seal demonstrates the effectiveness of this study.
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
Authors: Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided into section based on the primary direction of motion. When analyzing a movement, it is important to correctly locate the key events dividing portions. There exist methods for dividing certain actions using data from speciﬁc sensors. We introduce a generalized method for event annotation based on Hidden Markov Models. Genetic algorithms are used for feature selection and model parameterization. Further, collaborative techniques are explored. We validate this method on a walking dataset using inertial sensors placed on various locations on a human body. Our technique is computationally simple to allow it to run on resource constrained sensor nodes.
A text-to-picture synthesis system for augmenting communication
Authors: Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, Charles R. Dyer, Bradley Strock
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

We present a novel Text-to-Picture system that synthesizes a picture from general, unrestricted natural language text. The process is analogous to Text-to-Speech synthesis, but with pictorial output that conveys the gist of the text. Our system integrates multiple AI components, including natural language processing, computer vision, computer graphics, and machine learning. We present an integration framework that combines these components by first identifying infonnative and 'picturable' text units, then searching for the most likely image parts conditioned on the text, and finally optimizing the picture layout conditioned on both the text and image parts. The effectiveness of our system is assessed in two user studies using children's books and news articles. Experiments show that the synthesized pictures convey as much infonnation about children's stories as the original artists' illustrations, and much more information about news articles than their original photos alone. These results suggest that Text-to-Picture synthesis has great potential in augmenting human-computer and human-human communication modalities, with applications in education and health care, among others.
Point Cloud Segmentation Based on Radial Reflection
Authors: Mario Richtsfeld, Markus Vincze
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

This paper introduces a novel 3D segmentation algorithm, which works directly on point clouds to address the problem of partitioning a 3D object into useful sub-parts. In the last few decades, many different algorithms have been proposed in this growing field, but most of them are only working on complete meshes. However, in robotics, computer graphics, or other fields it is not always possible to work directly on a mesh. Experimental evaluations of a number of complex objects demonstrate the robustness and the efficiency of the proposed algorithm and the results prove that it compares well with a number of state-of-the-art 3D object segmentation algorithms.
A Novel Clustering Algorithm Based on One-Class SVM
Authors: Xinyu Huang, Xiaoyun Chen
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

One-class Support Vector Machine（OC-SVM）,which is proposed to deal with the problems of classification ,intends to find the smallest hyper-sphere containing the positive data. As for the test point, one-class svm only judges it whether the test point belongs to that cluster. So OCSVM is often used in anomaly detection. But in the algorithm proposed in this paper, we first adopt shared nearest neighbor algorithm based on the kernel method（KSNN）to pre-cluster the input data, and then use weight of each point, which is produced by KSNN, to cluster through OCSVM.Experimental results show that our algorithm can deal with some irregular distributed data and high-dimension data effectively.
Automatic Model Selection via Corrected Error Backpropagation
Authors: Masashi Sekino, Katsumi Nitta
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

In this paper, we propose a learning method called Corrected Error Backpropagation which maximizes the corrected log-likelihood which works like Akaike Information Criterion. For the purpose of maximizing the corrected log-likelihood, we introduce temperature parameter for the corrected log-likelihood. This paper also shows an optimal scheduling of the temperature parameter. Applying to our method to a linear regression model on the Boston house price estimation problem and multi layered perceptrons on the DELVE datasets, the method gives good results.
A Predicate Database for Assisting the Design of a Lexicon-Grammar of Predicative Nouns
Authors: Mohamed Mahdi Malik, Jean Royauté
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

In this paper, we present the development and the use of a database to develop a lexicon-grammar of predicative nouns in English. This data base allows to link a verbal construction to a nominal construction with an equivalent nominalization. This tool enables to assist the prediction of the structure of the correlated predicate noun phrase(s) and its dependent preposional noun phrase(s) which take an argument role: subject and possible complement(s). We also show the interest of designing a data base in order to explore, infer and register other noun phrase constructions which are not immediately correladed with verbal constructions.