ppxscal/embedding_network huggingface dataset:
Learning multiplication through computer-assisted learning activities
Authors: Kuo-En Chang, Yao-Ting Sung, Yu-Lung Chen, Long-Hua Huang
Venue: Computers in Human Behavior (2008)

This study develops and implements a computer-assisted learning (CAL) program with both multiplicative facts practices and the instruction of meaning behind these facts. The effectiveness of CAL on the development of multiplication abilities is also explored. Eight CAL activities are developed to teach multiplication to second grade elementary school students. The CAL program is comprised of three stages of instruction that addressed in succession the basic concept of multiplication, the meaning and properties of multiplication and multiplication-related computation skills. Evaluation of the effects of the learning activities reveals that CAL activities are effective in improving comprehension of the concept of multiplication and the meaning and properties of multiplication for students who have lower prior knowledge of multiplication, but it does not significantly improve the development of multiplication-related computation skills. Nevertheless, CAL activities facilitate overall learning of multiplication.
Adaptive histogram modification for enhancement the visual quality of latent fingerprints
Authors: Roumen Kountchev, Vladimir Todorov, Roumiana Kountcheva
Venue: Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering (2008)

In the paper is presented new method for histogram modification aimed at the enhancement of the visual quality of latent fingerprints. Specific for the method is that the most important visual information is retained because in result of the processing some of the brightness values in the original image change their places in the histogram while other brightness values, corresponding with the image background, are merged. The image obtained in result, answers the requirements of the ISO/IEC SC37 standard and provides better abilities for further image processing such as fingerprints recognition and identification. The main advantage of the new method is that unlike other methods for fingerprints enhancement, based on some kind of image filtration or contrast enhancement, the presented new method improves the visual quality of the processed image, retaining the fingerprint minutiae unchanged.
Modeling Topic and Role Information in Meetings Using the Hierarchical Dirichlet Process
Authors: Songfang Huang, Steve Renals
Venue: Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction (2008)

In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process. This model provides a powerful solution to topic modeling and a flexible framework for the incorporation of other cues such as speaker role information. We present our modeling framework for topic and role on the AMI Meeting Corpus, and illustrate the effectiveness of the approach in the context of adapting a baseline language model in a large-vocabulary automatic speech recognition system for multiparty meetings. The adapted LM produces significant improvements in terms of both perplexity and word error rate.
Even Factors with Degree at Most Four in Claw-Free Graphs
Authors: Qiuxin Wu, Liming Xiong, Tingzeng Wu
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

In this paper we will prove that every simple claw-free graph G with the minimum degree at least two such that each of its odd branch-bonds contains a branch of length one has an even factor of degree 2 or 4. Some examples showed the conclusion can not be replaced by "2-factor" even for 2-connected graphs.
Multi-key binary search and the related performance
Authors: Ahmed Tarek
Venue: Proceedings of the American Conference on Applied Mathematics (2008)

Binary Search is efficient due to it's logarithmic time complexity. It is used to identify the position of a key in a sorted list. Often, computer applications require searching for two to more different keys at the same execution. In this paper, a hybrid algorithm to perform the binary search with 2 to m different keys (m is an integer greater than or equal to 2) in a sorted list of elements is proposed. An m-key version of the proposed algorithm requires considering (2m + 1) different cases. Correctness proof of the algorithm is established using induction on the list size, n. Time complexity of the proposed algorithm is a function of 2 variables, namely, the number of keys, m and the list size, n, and is given as, O(mlog(n)) in both the worst and the average cases. The best case complexity is linear, which is O(m). Performance of 2 and 3-key versions is compared with the classical single key version. Possible key index combinations with the multi-key search strategies are also explored.
Peer-to-Peer Computing: From Applications to Platform
Authors: Hai Jin
Venue: Proceedings of the 5th international symposium on Parallel and Distributed Processing and Applications (2007)

In the last several years, we have made great efforts on prototype development and deployments of real systems about peer-to-peer computing. We have released many famous systems in CERNET of China, including: 1) a live streaming system based on P2P computing, named AnySee, in 2004; 2) a P2P VoD system, named GridCast, a P2P based E-Learning system, named APPLE, in 2005; 3) a P2P based gaming platform, named PKTown, and a P2P-based high performance computing platform, named P2HP, in 2006; 4) a P2P live streaming system for wireless environment, named MoSee, in 2007. All these deployed systems have attracted more attention on innovative P2P applications. In the last several years, there are about more than 100,000 users, which have enjoyed the services provided by these applications and we also have collected many data sets about users behaviors in different applications. Based on these logs from real systems, there is one finding: single platform, which includes many typical P2P applications, is a promising system for users, developers and researchers. For users, they can enjoy different services in one software, not many dazzling applications. For developers, they can deploy new P2P services quickly based on the functions and support by platform. For researchers, they can model the complex network and make statistic analysis and physical evolvement based on the traces provided by the platform. In the future, we will focus on P2P based platform, named Ripple, which is to construct a Reliable independent P2P layered engine with manageability to support services, including scientific research, streaming services, game services and etc.
Modeling of a Vector Controlled Induction Motor for a Demonstration System
Authors: Gerd W. Wöstenkühler, Thomas Waldhelm, Thomas Wilde, Christian Heidenreich
Venue: Proceedings of the 2008 19th International Conference on Systems Engineering (2008)

Induction motors are widely used and often their construction is a basis for special drive systems. It is difficult to understand the behavior of such motors. An induction motor demonstration system was developed at Hochschule Harz to help students learn such behaviors. The system consists of seven main modules realizing a control loop. Each module is designed and can be improved separately as hardware related student projects. Doing so allows the instructor to cover a wide range of teaching subjects. The system can be used to measure and demonstrate the basic motor behavior and the quality of applied controllers. This contribution describes the modeling of five hardware modules and the induction motor. This sub system has an input voltage for the rotational speed of the applied magnetic field and an output of the rotational speed of the shaft. It describes the behavior of the linear area around the operating point of the complex drive system and can be used for the development of application specific controllers.
Generating Ground Truthed Dataset of Chart Images: Automatic or Semi-automatic?
Authors: Weihua Huang, Chew Lim Tan, Jiuzhou Zhao
Venue: Graphics Recognition. Recent Advances and New Opportunities: 7th International Workshop, GREC 2007, Curitiba, Brazil, September 20-21, 2007. Selected Papers (2008)

Ground truthing tools mainly fall into two categories: automatic and semi-automatic. In this paper, we first discuss the pros and cons of the two approaches. We then report our own work on designing and implementing systems for generating a chart image dataset and multi-level ground truth data. Both semi-automatic and automatic approaches were adopted, resulting in two independent systems. The dataset as well as the ground truth data are publicly available so that other researchers can access them for evaluating and comparing performances of different systems.
Virtual Table Brings Distant Loved Ones Together
Authors: Terry Costlow
Venue: IEEE Distributed Systems Online (2004)

People forced to live apart for a while often miss the subtle clues that tell one person how the other feels or what he or she is doing. Media Lab Europe developed a virtual table that provides insight by relaying images of what's on your table, giving another person clues to any changes in your daily life.
Video and infrared cameras localization method using information fusion
Authors: Cornel Barna
Venue: Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science (2008)

This article presents an information fusion based decision method for a localization system composed by two video cameras and two infrared cameras. First, for each of video and infrared cameras systems, geometric characteristics are obtained which in a second stage are used in three types of information fusion. The decision, for determining the label of the object captured in the images is made using a soft type rule by considering the original algorithm based on a modified Hebb-law.
Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift
Authors: Alaa Abi-Haidar, Luis M. Rocha
Venue: Proceedings of the 7th international conference on Artificial Immune Systems (2008)

This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the cross-regulation model. We report on the testing of a preliminary algorithm on six e-mail corpora. We also compare our results statically and dynamically with those obtained by the Naive Bayes classifier and another binary classification method we developed previously for biomedical text-mining applications. We show that the cross-regulation model is competitive against those and thus promising as a bio-inspired algorithm for spam detection in particular, and binary classification in general.
Resilience in the Face of Disaster: Accounting for Varying Disaster Magnitudes, Resource Topologies, and (Sub)Population Distributions in the PLAN C Emergency Planning Tool
Authors: Giuseppe Narzisi, Joshua S. Mincer, Silas Smith, Bud Mishra
Venue: Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2007)

PLAN C, an Agent-Based Model platform for urban disaster simulation and emergency planning, features a variety of reality-based agents interacting on a realistic city map and can simulate the complex dynamics of emergency responses in different urban catastrophe scenarios. Work reported here focuses on the incorporation of specific subpopulations of person agents, reflecting the existence of individuals with specific defining characteristics and needs, and their interactions with the available resources. Performance of these subpopulations are compared in both point-source attack and distributed disaster scenarios for disasters of different magnitudes. Specific "recovery points" can be derived both for total- and sub-populations, which estimate the duration of a response system's/city's vulnerability. The effect of varying topologies of available resources, i.e. different hospital maps, provides particular insight into the dynamics that can emerge in this complex system. PLAN C produces interesting emergent behavior which is often consistent with the literature on emergency medicine of previous events.
State feedback control with integral action for an active power filter
Authors: Dan Popescu, Ana Iacob, Florin Stinga, Andreea Soimu
Venue: Proceedings of the 6th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical (2008)

By harmonics pollution it is usually understood one of the basic problems of the electric energy supply quality - the presence of higher harmonics. In contemporary electric energy networks they are due to nonlinear loads of various natures. These higher harmonics have to be suppressed and this is done by filtering. Active filtering is done by feedback structures where the filter properties may be controlled. In this paper a state feedback control with integral action is proposed for an active power filter. Then, the discrete implementation of the control law, using piecewise constant signals, is approach. Finally some simulation results are presented.
Decimation Estimation and Linear Model-Based Super-Resolution Using Zoomed Observations
Authors: Prakash P. Gajjar, Manjunath V. Joshi, Asim Banerjee, Suman Mitra
Venue: Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I (2007)

In this paper we present a model based approach for super-resolving an image from a sequence of zoomed observations. From a set of images taken at different camera zooms, we super-resolve the least zoomed image at the resolution of the most zoomed one. Novelty of our approach is that decimation matrix is estimated from the given observations themselves. We model the most zoomed image as an autoregressive (AR) model, learn the parameters and use in regularization to super-resolve the least zoomed image. The AR model is computationally less intensive as compare to Markov Random Field (MRF) model hence the approach can be employed in real-time applications. Experimental results on real images with integer zoom settings are shown. We also show how the learning of AR parameters in subblocks using Panchromatic (PAN) image gives better results for the multiresolution fusion process in remote sensing applications.
Supporting Materials for Active e-Learning in Computational Models
Authors: Mohamed Hamada
Venue: Proceedings of the 8th international conference on Computational Science, Part II (2008)

In traditional lecture-driven learning, material to be learned is often transmitted to students by teachers. That is, learning is passive. In active learning, students are much more actively engaged in their own learning while educators take a more guiding role. This approach is thought to promote processing of skills and knowledge to a much deeper level than passive learning. In this paper, a research using supporting materials for active e-learning in computational models and related fields is presented. The contributions of this paper are supporting active tools to improve learning and an evaluation of its use in context.
Efficient auction-based grid reservations using dynamic programming
Authors: Andrew Mutz, Rich Wolski
Venue: Proceedings of the 2008 ACM/IEEE conference on Supercomputing (2008)

Auction mechanisms have been proposed as a means to efficiently and fairly schedule jobs in high-performance computing environments. The Generalized Vickrey Auction has long been known to produce efficient allocations while exposing users to truth-revealing incentives, but the algorithms used to compute its payments can be computationally intractable. In this paper we present a novel implementation of the Generalized Vickrey Auction that uses dynamic programming to schedule jobs and compute payments in pseudo-polynomial time. Additionally, we have built a version of the PBS scheduler that uses this algorithm to schedule jobs, and in this paper we present the results of our tests using this scheduler.
Jitter Distribution Evaluation and Suppression Method in UWB Systems
Authors: Weihua Zhang, Hanbing Shen, Zhiquan Bai, Kyung Sup Kwak
Venue: Proceedings of the 3rd international conference on Embedded Software and Systems (2007)

For the extreme short duration of the baseband Impulse Radio (IR) Ultra-Wideband (UWB) transmission waveforms, even small amounts of timing jitter can bring out considerable system performance degradation. Thus jitter performance evaluation and corresponding suppression methods are very important for UWB high rate transceiver. We analyzed the jitter distribution function in UWB systems, also a jitter suppression method is proposed by modification of template waveforms. Performance of our proposed waveforms and traditional template waveforms are compared by analysis and simulation, and the results verify our jitter suppression method works.
Effect of different mucosa thickness and resiliency on stress distribution of implant-retained overdentures-2D FEA
Authors: Valentim Adelino Ricardo Barão, Wirley Gonçalves Assunção, Lucas Fernando Tabata, Edson Antonio Capello de Sousa, Eduardo Passos Rocha
Venue: Computer Methods and Programs in Biomedicine (2008)

The study aimed to evaluate the effect of different mucosa thickness and resiliency on stress distribution of implant-retained overdentures using a two-dimensional finite element analysis. Models were used in order to simulate two situations. In group A, model represented an edentulous mandible supporting an overdenture retained by two-splinted-implants connected with bar-clip system while in group B, model simulated an edentulous mandible supporting an overdenture retained by two-splinted-implants connected with bar-clip system associated with two-distally placed o'ring system. In each group, mucosa assumed three characteristics of thickness (1, 3 and 5mm) in the resiliencies: hard, resilient and soft, respectively. Evaluation was performed on Ansys software. Group A showed higher stress values regardless of the mucosa characteristics. Overall, stress decreased at the supporting tissues as mucosa thickness and resiliency increased. Regarding supporting tissues, cortical bone showed the highest stress values. The use of bar-clip attachment system with distally placed o'ring attachment design optimized the stress distribution.
Object- and spatial-level quantitative analysis of multispectral histopathology images for detection and characterization of cancer
Authors: B. S. Manjunath
Venue:  (2008)

The main goal of this dissertation is the development and discussion of techniques for higher-level image analysis, i.e., object-level analysis, of breast cancer imagery. Established cytologic (cell) criteria can be contradictory, and even histologic (tissue) criteria (considered the gold standard for diagnosis) are subject to varied interpretation. There is thus a need to quantitatively define characteristics of breast cancer to bettor coordinate clinical care of women presenting breast masses. We propose here an approach for such quantitative analysis, Quantitative Object- and spatial Arrangement-Level Analysis (QOALA), using expert (pathologist) input to guide the classification process. The main contributions in this work are four-fold. First, quantitatively analyze the utility of multispectral imagery for classification and segmentation tasks in histopathology imagery. Second, we develop object-level segmentations for several histologic classes, as a quantitative object-level segmentation metric. Third, we extract a comprehensive set of both object- and spatial-level features which are used in a feature selection framework for classification of objects and imagery. Fourth, we extend the concepts of object-level features to higher-level image objects, analyze the utility of these high-level objects for image classification, and introduce the concept of a probabilistic graph-based model of imagery. Overall, QOALA yields very good object- and image-level classification performances. More specifically, the object-level features as implemented in QOALA are versatile and general enough to elicit important information from even imperfectly segmented objects. Additionally, the use of non-nuclear features, namely features of cytoplasm and stoma have good classification performance, often exceeding that of nuclei. Higher-level features display a potential to increase both object- and image-level classification performance.
CPL Clustering with Feature Costs
Authors: Leon Bobrowski
Venue: Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects (2008)

The convex and piecewise linear (CPL) criterion functions can be specified for the purposes of data clustering or unsupervised learning. The data set is in this case composed of feature vectors without additional knowledge in the form of vectors categories. The minimisation of the CPL criterion functions allows for discovering linear dependence among feature vectors from a given data set. Introducing feature costs to the CPL criterion functions allows to combine linear dependence examination with feature selection process.
On Controllability of Timed Continuous Petri Nets
Authors: C. Renato Vázquez, Antonio Ramírez, Laura Recalde, Manuel Silva
Venue: Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control (2008)

Continuous Petri Nets is a subclass of hybrid models representing relaxed views of discrete events systems, in which timing may adopt different semantics. Even if no semantics is strictly superior, we proved in [1] that for an important subclass of models infinite server semantics provides always a better approximation of the underlying discrete model than finite server. This paper then concentrates on controllability under this semantics. First we propose a notion of controllability over subsets of the reachable polytope, and provide a necessary and sufficient condition for markings with no null elements (interior points); later the transformation of an arbitrary initial marking into an interior one is done. The technically more involved part of the paper is the extension of those results to the case in which some transitions are non controllable. An interesting point is that all characterizations depend only on the structure and firing speeds of the timed continuous net.
Model Integrating Fleet Design and Ship Routing Problems for Coal Shipping
Authors: Qingcheng Zeng, Zhongzhen Yang
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

In this paper, an integrated optimization model is developed to improve the efficiency of coal shipping. The objective is (1) to determine the types of ships and the number of each type, (2) to optimize the ship routing, therefore, to minimize the total coal shipping cost. Meanwhile, an algorithm based on two-phase tabu search is designed to solve the model. Numerical tests show that the proposed method can decrease the unit shipping cost and the average ship delay, and improve the reliability of the coal shipping system.