ppxscal/embedding_network huggingface dataset:
A Meta-model Describing the Development Process of Mobile Learning
Authors: Anna Wingkvist, Morgan Ericsson
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

This paper presents a meta-model to describe the development process of mobile learning initiatives. These initiatives are often small scale trials that are not integrated in the intended setting, but carried out outside of the setting. This results in sustainability issues, i.e., problems to integrate the results of the initiative as learning aids. In order to address the sustainability issues, and in turn help to understand the scaling process, a meta-model is introduced. This meta-model divides the development into four areas of concern, and the life cycle of any mobile learning initiative into four stages. The meta-model was developed by analyzing and describing how a podcasting initiative was developed, and is currently being evaluated as a tool to both describe and evaluate mobile learning initiatives. The meta-model was developed based on a mobile learning initiative, but the meta-model itself is extendible to other forms of technology-enhanced learning.
Paired ROBs: A Cost-Effective Reorder Buffer Sharing Strategy for SMT Processors
Authors: R. Ubal, J. Sahuquillo, S. Petit, P. López
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

An important design issue of SMT processors is to find proper sharing strategies of resources among threads. This paper proposes a ROB sharing strategy, called paired ROB, that considers the fact that task parallelism is not always available to fully utilize resources of multithreaded processors. To this aim, an evaluation methodology is proposed and used for the experiments, which analyzes performance under different degrees of parallelism. Results show that paired ROBs are a cost-effective strategy that provides better performance than private ROBs for low task parallelism, whereas it incurs slight performance losses for high task parallelism.
Self-organization and segmentation with laterally connected spiking neurons
Authors: Yoonsuck Choe, Risto Miikkulainen
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

A self-organizing model of spiking neurons with dynamic thresholds and lateral excitatory and inhibitory connections is presented and tested in the image segmentation task. The model integrates two previously separate lines of research in modeling the visual cortex. Laterally connected self-organizing maps have been used to model how afferent structures and lateral connections could self-organize through inputdriven Hebbian adaptation. Spiking neurons with leaky integrator synapses have been used to model image segmentation and binding by synchronization and desynchronization of neuronal activity. Although these approaches differ in how they model the neuron, they have the same overall layout of a laterally connected two-dimensional network. This paper shows how both self-organization and segmentation can be achieved in such a network, thus presenting a unified model of development and functional dynamics in the primary visual cortex.
A Gait Recognition Method Based on Features Fusion and SVM
Authors: Jian Ni, Li-bo Liang
Venue: Proceedings of the 2009 Second Pacific-Asia Conference on Web Mining and Web-based Application (2009)

The algorithm based on multi-feature and SVM is proposed. The paper firstly uses wavelet de-noising for gait images. The text offers to use width descriptors as gait features and combines lower angle features. The Kernel-based fisher criterion and support vector machine is combined to classification and identification. The gait characteristic is extracted by KFDA, which can obtain the best projection direction and enhance the capacity of data classification. Then the support vector machine (SVM) models are trained by the decomposed feature vectors. The gaits are classified by the trained SVM models. The paper tries using wavelet kernel and obtains better result. This algorithm is applied to a data-set including thirty individuals. Extensive experimental results demonstrate that the proposed algorithm performs at an encouraging recognition rate of 91% and at a relatively lower computational cost.
A client-based privacy manager for cloud computing
Authors: Miranda Mowbray, Siani Pearson
Venue: Proceedings of the Fourth International ICST Conference on COMmunication System softWAre and middlewaRE (2009)

A significant barrier to the adoption of cloud services is that users fear data leakage and loss of privacy if their sensitive data is processed in the cloud. In this paper, we describe a client-based privacy manager that helps reduce this risk, and that provides additional privacy-related benefits. We assess its usage within a variety of cloud computing scenarios. We have built a proof-of-concept demo that shows how privacy may be protected via reducing the amount of sensitive information sent to the cloud.
A novel PDE based image restoration: Convection-diffusion equation for image denoising
Authors: Y. Shih, C. Rei, H. Wang
Venue: Journal of Computational and Applied Mathematics (2009)

In this paper we present a convection-diffusion equation for processing image denoising, edge preservation and compression. We compare it with a popular nonlinear diffusion model which has been widely implemented in image denoising for Gaussian white noise. Here we show that this convection-diffusion model effectively removes noise, especially for the mixture of Gaussian and salt-and-pepper noises. We propose the modified streamline diffusion method [Y. Shih, H.C. Elman, Modified streamline diffusion schemes for convection-diffusion problems, Comput. Methods Appl. Mech. Eng, 1998.] for the discretization of this convection-diffusion model to prevent internal layers because of the discontinuities while using the coarsening algorithm for the image compression. Numerical experiments have shown that our convection-diffusion model for removing both Gaussian and salt-and-pepper noises, efficiently and reliably preserves edges quite satisfactorily.
Web service composition as planning, revisited: in between background theories and initial state uncertainty
Authors: Jörg Hoffmann, Piergiorgio Bertoli, Marco Pistore
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

Thanks to recent advances, AI Planning has become the underlying technique for several applications. Amongst these, a prominent one is automated Web Service Composition (WSC). One important issue in this context has been hardly addressed so far: WSC requires dealing with background ontologies. The support for those is severely limited in current planning tools. We introduce a planning formalism that faithfully represents WSC. We show that, unsurprisingly, planning in such a formalism is very hard. We then identify an interesting special case that covers many relevant WSC scenarios, and where the semantics are simpler and easier to deal with. This opens the way to the development of effective support tools for WSC. Furthermore, we show that if one additionally limits the amount and form of outputs that can be generated, then the set of possible states becomes static, and can be modelled in terms of a standard notion of initial state uncertainty. For this, effective tools exist; these can realize scalable WSC with powerful background ontologies. In an initial experiment, we show how scaling WSC instances are comfortably solved by a tool incorporating modern planning heuristics.
Incremental parsing, or incremental grammar?
Authors: Matthew Purver, Ruth Kempson
Venue: Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (2004)

Standard grammar formalisms are defined without reflection of the incremental and serial nature of language processing, and incrementality must therefore be reflected by independently defined parsing and/or generation techniques. We argue that this leads to a poor setup for modelling dialogue, with its rich speaker-hearer interaction, and instead propose context-based parsing and generation models defined in terms of an inherently incremental grammar formalism (Dynamic Syntax), which allow a straight-forward model of otherwise problematic dialogue phenomena such as shared utterances, ellipsis and alignment.
Economic production quantity with rework process at a single-stage manufacturing system with planned backorders
Authors: Leopoldo Eduardo Cárdenas-Barrón
Venue: Computers and Industrial Engineering (2009)

In traditional inventory models such as the economic order quantity (EOQ) and the economic production quantity (EPQ) the sole objective is to minimize the total inventory-related costs, typically holding cost and ordering cost. These models do not consider the presence of defective products in the lot or rework of them. Recently, Jamal, Sarker, and Mondal (Jamal, A. A. M., Sarker, B. R., & Mondal, S., (2004). Optimal manufacturing batch size with rework process at single-stage production system. Computers and Industrial Engineering, 47(1), 77-89) proposed a model, which dealt with the optimum batch quantity in a single-stage system in which rework is done by addressing two different operational policies to minimize the total system cost, but their models do not consider planned backorders. In this direction, this paper develops an EPQ type inventory model with planned backorders for determining the economic production quantity for a single product, which is manufactured in a single-stage manufacturing system that generates imperfect quality products, and all these defective products are reworked in the same cycle. We also establish the range of real values of the proportion of defective products for which there is an optimal solution, and the close form for the total cost of inventory system. The use of the inventory model is illustrated with numerical examples. The classical EOQ, EPQ inventory models with or without planned backorders and Jamal, Sarker and Mondal's model (Jamal, A. A. M., Sarker, B. R., & Mondal, S., (2004). Optimal manufacturing batch size with rework process at single-stage production system. Computers and Industrial Engineering, 47(1), 77-89) are shown to be special cases of the EPQ inventory model presented in this paper.
Laboratory Test and Spectrum Analysis Method of Tire Noise
Authors: Yong Che, Wangxin Xiao, Lijun Chen
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In order to improve the levels of test and analysis of tire noise and to design low-noise tire meeting the relevant requirements, noise test study is necessary. Laboratory tire noise test method is used. By comparing and analyzing the 1/3 octave band spectrum diagram and histogram of tire noise measured in different directions, the author finds that the sound emitted by tire thread is similar to that of loudspeaker, showing strong directivity. In order to solve the problem of differences between the actually measured noise spectrum curve of tire and the spectrum curve of low-noise tire, the author proposes an analysis and calculation method based on fuzzy set and establishes the target spectrum curve of low-noise tire, which provide a practical solution for design optimization of low-noise tire.
Measuring semantic relatedness using people and WordNet
Authors: Beata Beigman Klebanov
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

In this paper, we (1) propose a new dataset for testing the degree of relatedness between pairs of words; (2) propose a new WordNet-based measure of relatedness, and evaluate it on the new dataset.
Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory
Authors: Rayner Alfred
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Although the TF-IDF weighted frequency matrix (vector space model) has been widely studied and used in document clustering or document categorisation, there has been no attempt to extend this application to relational data that contain one-to-many associations between records. This paper explains the rationale for using TF-IDF (term frequency inverse document frequency), a technique for weighting data attributes, borrowed from Information Retrieval theory, to summarise datasets stored in a multi-relational setting with one-to-many relationships. A novel data summarisation algorithm based on TF-IDF is introduced, which is referred to as Dynamic Aggregation of Relational Attributes (DARA). The DARA algorithm applies clustering techniques in order to summarise these datasets. The experimental results show that using the DARA algorithm finds solutions with much greater accuracy.
Identifying and Measuring Cultural Differences in Cross-Cultural User-Interface Design
Authors: Jasem M. Alostath, Sanaa Almoumen, Ahmad B. Alostath
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

This paper is investigating the role of culture in cross-cultural user interface design, and particularly focused on e-banking user-interface design. The results of this research are presented in two phases. The first phase is focused on the development of a cultural model that has some HCI factors. The second phase introduces the Cross-Use experiment that aims to evaluate the mapping between website design elements and cultural attributes using a user-in-context evaluation approach. This is done by developing three User Interface designs, and applying them to 63 local participants from the case study cultures (Brazil, Kuwait, Egypt, and UK). The experiment was conducted using the developed prototypes was able to classify cultures differently, and highlighted those design markers that affects cultural differences in the design of e-banking websites. This is based on user preferences and usability.
Definition of Managed Objects for Fault Management of Satellite Network
Authors: Li Hang, Meng Lei
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

It is a new subject for network management to investigate the fault management of satellite network. Fault management of satellite network can acquire data of managed objects by means of network management protocol. Multiplex network management protocol (MNMP) exhibits great advantages on satellite network management. However, the current MIB of MNMP defines only a part of management objects, most of which focus on the transformation of management objects of SNMP MIB and CMIP.According to objects for fault management of the four granularities, i.e. network-, function-, device-, and component-class of satellite network, this paper defines the corresponding information of management objects. The aforementioned definition conforms to definition of MNMP managed object (DMMO). All these work can solve the lack of objects in MIB fault management for MNMP.
A Hybrid System for Named Entity Metonymy Resolution
Authors: Caroline Brun, Maud Ehrmann, Guillaume Jacquet
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)

This paper is an extended version of [1], describing our participation to the Metonymy Resolution (task #8) at SemEval 2007. In order to perform named entity metonymy resolution on location names and company names, as required for this task, we developed a hybrid system based on the use of a robust parser that extracts deep syntactic relations combined with a non supervised distributional approach, also relying on the relations extracted by the parser.
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Authors: Eva Besada-Portas, Sergey M. Plis, Jesus M. Cruz, Terran Lane
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over the unobserved variables. However, they suffer from the curse of dimensionality problem: the number of particles grows exponentially with the dimensionality of the hidden state space. The problem is aggravated when the initial distribution of the variables is not well known, as happens in global localization problems. We present a new parallel PF for systems whose variable dependencies can be factored into a Dynamic Bayesian Network. The new algorithms significantly reduce the number of particles, while independently exploring different subspaces of hidden variables to build particles consistent with past history and measurements. We demonstrate this new PF approach on some complex dynamical system estimation problems, showing that our method successfully localizes and tracks hidden states in cases where traditional PFs fail.
Regional Effects of Secondary Ecological Migration in Pasturing Area: A Case of Fuhai County in Xinjiang
Authors: Changlong Sun, Jia Liu, Xiaolei Zhang, Hongru Du, Wenwen Ma
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Under the integrated influences of global climate changes and overgrazing, China rangeland has degraded over recent years. Fuhai County is located in the north margin of Junggar basin and its rangeland has experienced expansive degradation. The eco-migration policy are launched respectively by local government in 1998 and 2006. In order to analyze the regional effects of ecological migration, we evaluated the first time ecological migration and discussed the second time ecological migration project according to field survey of grazing intensity and using situation of the grassland in Altai Region. The result shows that the first time ecological migration never solve the contradiction between development of people and livestock and ecological balance. Spring fall rangeland and summer rangeland overloading severely also, the overloading rate reached to 77.1% and 74.8%. Though the second time ecological migration causing some impacts to grassland culture, and it may affect the environment of immigration ground, it hold back the degenerate of the grassland essentially and improve the herdsmen’s standard of living by enclosure to prevent grazing, rear livestock in pens, returning cropping land to forage land and various production management. And it create firmly foundation for the development of modern animal husbandry and resources sustainable using.
A Method to Derive Moment Invariants
Authors: Yuanbin Wang, Bin Zhang, Tianshun Yao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Functions of Moments that are invariant under geometric transformations are useful for image analysis and pattern recognition. The basic model of computer vision is projective transformation. Yet it is known that moment invariants for general projective transformations do not exist. This paper presents a novel method to derive moment invariants under restricted projective transformations. The form of the moment invariants is in a ratio of two determinants of moments. We first derive the relative moment invariants relating moments of the transformed image and moments of the original image. Then the absolute moment invariant is obtained by cancellation of the factors. The method is straightforward and extendible.
The Challenges of Petascale Architectures
Authors: Peter M. Kogge
Venue: IEEE Design Test (2009)

In 2008, the first petaflops systems went into operation. Such systems will eventually mature into petascale systems capable of 1,000 times more general computation than robust terascale systems. To achieve this, we need architectures that are inextricably intertwined with both technology and applications.
PocketDRAGON: a direct manipulation video navigation interface for mobile devices
Authors: Thorsten Karrer, Moritz Wittenhagen, Jan Borchers
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

We present PocketDRAGON, a demonstrator prototype that allows direct manipulation video navigation on mobile touchscreen devices. In contrast to traditional video navigation techniques, PocketDRAGON does not require any overlay UI elements that occupy valuable screen real estate and obstruct the users' view on the video. Also, direct manipulation video navigation techniques have been shown to compare favorably to the established timeline slider interfaces in terms of performance times, intuitiveness, precision, and perceived ease of use. Our demonstrator system still uses a backend server for the computationally expensive parts of the algorithms but delivers the full-fledged user experience on the mobile device.
SpiNNaker: The Design Automation Problem
Authors: Andrew Brown, David Lester, Luis Plana, Steve Furber, Peter Wilson
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

This paper describes the design automation issues and techniques used to design a massively parallel processing platform --- SpiNNaker --- from a hardware and systems design perspective. The emphasis of this paper is addressing the key problem of resource mapping, where multiple threaded programs are to be targeted onto a hardware platform that consists of multiple ARM cores and other resources such as memory and networks. In addition, the design environment is considered to ensure that a designer can program applications onto this environment in a practical manner.
Proceedings of the Fourth International ICST Conference on COMmunication System softWAre and middlewaRE
Venue: Conference on Communication System Software and Middleware (2009)

The Fourth International Conference on Communication System Software and Middleware (COMSWARE) will be held from June 16th to June 19th, 2009 at Trinity College Dublin, Ireland. The conference will focus on important innovations and recent advances in the specification, design, construction and use of communication systems software and middleware systems. Current communication systems cover a large range of computing platforms from traditional fixed-line telecommunication systems to mobile computing, multimedia systems, peer-to-peer networks and Internet services. The interoperation of all these systems is crucial. Integrating, connecting and coordinating communication is critical for communication systems software and middleware systems. The COMSWARE conference is the premier international forum for researchers, business leaders, educators and practitioners to present and discuss recent innovations, advances in technology, experiences in current systems and potential concerns in the field of communication systems software and middleware systems. The conference will feature a high quality technical program consisting of invited speakers, regular papers, short papers, software demonstrations, industrial papers, posters and workshops.