ppxscal/embedding_network huggingface dataset:
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
Authors: Peipei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Although a vast majority of inductive learning algorithms has been developed for handling of the concept drifting data streams, especially the ones in virtue of ensemble classification models, few of them could adapt to the detection on the different types of concept drifts from noisy streaming data in a light demand on overheads of time and space. Motivated by this, a new classification algorithm for Concept drifting Detection based on an ensembling model of Random Decision Trees (called CDRDT) is proposed in this paper. Extensive studies with synthetic and real streaming data demonstrate that in comparison to several representative classification algorithms for concept drifting data streams, CDRDT not only could effectively and efficiently detect the potential concept changes in the noisy data streams, but also performs much better on the abilities of runtime and space with an improvement in predictive accuracy. Thus, our proposed algorithm provides a significant reference to the classification for concept drifting data streams with noise in a light weight way.
ZD-AOMDV: A New Routing Algorithm for Mobile Ad-Hoc Networks
Authors: Nastooh Taheri Javan, Reza Kiaeifar, Bahram Hakhamaneshi, Mehdi Dehghan
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

A common characteristic of all popular multi-path routing algorithms in Mobile Ad-hoc networks, such as AOMDV, is that the end to end delay is reduced by utilization of parallel paths. The competition between the neighboring nodes for obtaining a common channel in those parallel paths is the reason for end to end delay increment. In fact, due to medium access mechanism in wireless networks, such as CSMA/CA, data transmissions even through two Node-Disjoint paths are not completely independent and each path will affect the other one. In this paper we have modified the AODV protocol which results in selection of zone-disjoint paths, to the extent feasible, and as a result we achieve less end to end delay. The efficiency of the proposed protocol has been evaluated on different scenarios and there has been a noticeable improvement in the packet delivery ratio and also in the reduction of end-to-end delay comparing to AOMDV.
From data to knowledge to discoveries: Artificial intelligence and scientific workflows
Authors: Yolanda Gil
Venue: Scientific Programming (2009)

Scientific computing has entered a new era of scale and sharing with the arrival of cyberinfrastructure facilities for computational experimentation. A key emerging concept is scientific workflows, which provide a declarative representation of complex scientific applications that can be automatically managed and executed in distributed shared resources. In the coming decades, computational experimentation will push the boundaries of current cyberinfrastructure in terms of inter-disciplinary scope and integrative models of scientific phenomena under study. This paper argues that knowledge-rich workflow environments will provide necessary capabilities for that vision by assisting scientists to validate and vet complex analysis processes and by automating important aspects of scientific exploration and discovery.
CL for CALL in the primary school
Authors: Katrina Keogh, Thomas Koller, Monica Ward, Elaine Uí Dhonnchadha, Josef van Genabith
Venue: Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning (2004)

This paper looks at how Computational Linguistics (CL) and Natural Language Processing (NLP) resources can be deployed in Computer-Assisted Language Learning (CALL) materials for primary school learners. We draw a broad distinction between CL and NLP technology and briefly review the use of CL/NLP in e-Learning in general, how it has been deployed in CALL to date and specifically in the primary school context. We outline how CL/NLP resources can be used in a project to teach Irish and German to primary school children in Ireland. This paper focuses on the use of Finite State morphological analysis (FST) resources for Irish and Part of Speech (POS) taggers for German.
License Plate Detection and Character Recognition
Authors: Fabio Caccia, Roberto Marmo, Luca Lombardi
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

In this paper we describe an approach based on infrared camera and novel methods about how to detect license plates on rear-side of a vehicle in still image or video stream. Particular contribution is posed on discovering plate area by edge search on each side of plate and reconstruction of rectangular shape. The recognized plate area is rotated and adjusted for a better character separation. Top hat morphological operator is used to extract characters from plate background. Each single character inside plate area is separated even in case of tilted shape. This approach try to slice the plate vertically, and it follow the character profile that hit on his vertical path. Pattern matching based on modified Yule dissimilarity measure is used for character recognition. Performance on 200 images are discussed.
Problems Encountered in Seated Arm Reach Posture Reconstruction: Need for a More Realistic Spine and Upper Limb Kinematic Model
Authors: Xuguang Wang
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

In this paper, we will present the main problems encountered for reconstructing in-vehicle reach postures. Among the 2176 successfully captured movements, about 7.4% of them were considered as "bad quality" with a high residual error between reconstructed and measured marker positions. They mainly correspond to the far targets and in the direction that one has to elevate the arm. The results of the present study strongly suggest that a more realistic kinematic model of the upper body including the shoulder complex, pelvis and spine is required. In addition, the natural coordination between joint axes should also be used for compensating the lack of information in case of under-constraint situation and for correcting the uncertainty of surface markers positions.
Towards Environment-to-Environment (E2E) multimedia communication systems
Authors: Vivek K. Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh Jain
Venue: Multimedia Tools and Applications (2009)

We present an approach to connect multiple remote environments over web for natural interaction among people and objects. Focus of current communication and telepresence systems severely restrict user affordances in terms of movement, interaction, peripheral vision, spatio-semantic integrity and even information flow. These systems allow information transfer rather than experiential interaction. We propose Environment-to-Environment (E2E) as a new paradigm for communication which allows users to interact in natural manner using text, audio, and video by connecting environments. Each Environment is instrumented using as many different types of sensors as may be required to detect presence and activity of objects. This object position and activity information is used by a scalable event-based multimodal information system called EventServer to share the appropriate experiential information with other environments as well as to present incoming multimedia information on right displays and speakers. This paper describes the design principles for E2E communication, discusses system architecture, and gives our experience in implementing prototypes of such systems in telemedicine and office collaboration applications. We also discuss the research challenges and a road-map for creating more sophisticated E2E applications in near future.
Capable to Match (CTM) with SAP APO
Authors: Balaji Gaddam
Venue:  (2009)

This is your complete guide to understanding SAP CTM and configuring it to meet today s inventory and planning methods. Throughout the book you ll find detailed coverage of the functions and their usage. You ll learn about customization of inventory and production planning with SAP CTM, including a clear explanation of the SAP CTM engine algorithm and several modeling optimization techniques. And you ll learn how to analyze the CTM planning results using a variety of tools and techniques. First, benefit from a detailed overview of SCM/APO planning and all of its key components, including DP (Demand Planning), SNP (Supply Network Planning), PP/DS (Production Planning and Detailed Scheduling), and GTP modules.Then, you'll uncover the ins and outs of Demand Processing as you explore the basic and advanced methods that can be used to influence demand prioritization and aggregation. Next, the author shows you how CTM planning categorizes all receipts and available stocks before each planning run and helps you easily understand the key configurations required to implement supply categorization using supply limits based on quantity or ATP categories. With exclusive insights into the planning engine algorithm used by the CTM engine, including an introduction to constraints programming and the different problems it can solve, you will be able to hit the ground running with this powerful tool. Last but not least, readers learn all the essential details for finding and analyzing planning results in case of any unfulfilled or late demands. Highlights: APO planning overview Planning scope and CTM profile configuration Advanced planning methods Explanation tool and Solution Indicators Tools and techniques to analyze the technical details of CTM runs Common modeling techniques used to implement special planning requirements The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Parallel Discrete Event Simulation with AnyLogic
Authors: Mikhail Kondratyev, Maxim Garifullin
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

Nowadays simulation modeling is applied for solving a wide range of problems. There are simulations which require significant performance and time resources. To decrease overall simulation time a model can be converted to a distributed system and executed on a computer network. The goal of this project is to create a library enabling clear and rapid development parallel discrete event models in AnyLogic. The library is aimed for professionals in computer simulation and helps to reduce code amount. The project includes a research on different synchronization algorithms. In this paper we present techniques which can be used in creating distributed models. We present comparison of a single threaded model with a distributed model implementing optimistic algorithm. The comparison shows a significant improvement in wallclock time achieved by separating the model into independent submodels with minimal communications.
Projects in Computing and Information Systems: A Student's Guide, 2nd edition
Authors: Christian W. Dawson
Venue:  (2009)

This one-stop resource takes you through the entire project process, from selecting the project, to producing a proposal, all the way through to report writing and presentation of the project or dissertation. Using an accessible yet academically rigorous writing style, the material is presented in a user-friendly format to enable you to develop your project writing skills and 'add value' to your work. This new edition has been updated to include technology and processes (i.e. choice of programming languages; agile methods) and also wider issues which are becoming increasingly important in the 'skills' area (i.e. ethics; plagiarism; PDPs/aspiration). The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Agreement/disagreement classification: exploiting unlabeled data using contrast classifiers
Authors: Sangyun Hahn, Richard Ladner, Mari Ostendorf
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

Several semi-supervised learning methods have been proposed to leverage unlabeled data, but imbalanced class distributions in the data set can hurt the performance of most algorithms. In this paper, we adapt the new approach of contrast classifiers for semi-supervised learning. This enables us to exploit large amounts of unlabeled data with a skewed distribution. In experiments on a speech act (agreement/disagreement) classification problem, we achieve better results than other semi-supervised methods. We also obtain performance comparable to the best results reported so far on this task and outperform systems with equivalent feature sets.
An Optimization Technique for Multiple Continuous Multiple Joins over Data Streams
Authors: Changwoo Byun, Hunjoo Lee, Youngha Ryu, Seog Park
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Join queries having heavy cost are necessary to Data Stream Management System in the sensor network. In this paper, we propose an optimization algorithm for multiple continuous join operators over data streams using a heuristic strategy. First, we propose a solution of building the global shared query execution plan. Second, we solve the problems of updating a window size and routing for a join result. Our experimental results show that the proposed protocol can provide better throughputs than previous methods.
Ranking reader emotions using pairwise loss minimization and emotional distribution regression
Authors: Kevin Hsin-Yih Lin, Hsin-Hsi Chen
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

This paper presents two approaches to ranking reader emotions of documents. Past studies assign a document to a single emotion category, so their methods cannot be applied directly to the emotion ranking problem. Furthermore, whereas previous research analyzes emotions from the writer's perspective, this work examines readers' emotional states. The first approach proposed in this paper minimizes pairwise ranking errors. In the second approach, regression is used to model emotional distributions. Experiment results show that the regression method is more effective at identifying the most popular emotion, but the pairwise loss minimization method produces ranked lists of emotions that have better correlations with the correct lists.
Multi-agent Integrated Control on Vehicle Semi-active Suspension and EPS
Authors: Limin Niu, Youqun Zhao, Fen Lin
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

As shock absorption parts on chassis, semi-active suspension (SAS) is vital on vehicle riding comfortable. Electric power steering (EPS) system provides power to assist driver turning direction, which is significant impact on vehicle handling stability. In order to increased vehicle riding comfort and handling stability synchronously, an integrated control technology of SAS and EPS based on Multi-agent System (MAS) was proposed and aimed at deficient coordinated control of subsystems. Point out properties and characteristics of SAS agent, EPS agent, system agent, and so on. Founded coordination solving mechanism of integrated system through applied hierarchical method and MAS theory resolved match and coordinate control issue of SAS and EPS, and provided a new method for research vehicle chassis system.
Elliptic Object Features Extraction and Measurement in Image Data Mining
Authors: Fu Cheng You, Yong Bin Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In image data mining, especially in mining of highdimensional association rules, extracting features of shape, color and texture is not enough for these tasks. All kinds of the features of object are often extracted. These object features of image include visual features, statistical features, and dimensional features and so on. This paper proposes an integrated method for object features extraction to meet the expression demand of high dimensional association rules. At last, the validity has been proven by an instance.
Efficient Browsing and Update of Complex Data Based on the Decomposition of Contexts
Authors: Sébastien Ferré
Venue: Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies (2009)

Formal concept analysis is recognized as a good paradigm for browsing data sets. Besides browsing, update and complex data are other important aspects of information systems. To have an efficient implementation of concept-based information systems is difficult because of the diversity of complex data and the computation of conceptual structures, but essential for the scalability to real-world applications. We propose to decompose contexts into simpler and specialized components: logical context functors. We demonstrate this allows for scalable implementations, updatable ontologies, and richer navigation structures, while retaining genericity.
Systems of measurement and control of relative humidity in newborn incubator
Authors: Enilson J. L. Costa, Raimundo C. S. Freire, Joao B. A. Silva, Carlos M. P. Cursino, Jose Felicio da Silva, Alessio T. Barros
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

In this work they were developed a microcontroller-based system devoted to the newborn incubator, in order to check the conditions of the environment provided to the premature newborns, a control system of humidity and software that carries out the reading of the sensors. Two microprosecuted, similar newborn incubator were used, for the realization of the measurements, being that one of the newborn incubator used distilled water and other one was valued without water. The measures were collected to each 2 minutes during 96 h. The relative humidity inside of the newborn incubator, without water had average (46.53 ± 3.84) %. The mean value of the internal temperature was of (36.58 ± 1.04) °C. With water, without control of humidity, (70.67 ± 3.71) %. The mean value of the internal temperature was of (34.33 ± 1.84) °C. With water and with control of humidity, was inside the established belt of comfort for the standard. One checked that the newborn incubator used in this inquiry does not provide to the premature newborns a totally appropriate environment taking into account the requisites of the standard NBR IEC 601-2-19.
A local branching heuristic for the capacitated fixed-charge network design problem
Authors: Inmaculada Rodríguez-Martín, Juan José Salazar-González
Venue: Computers and Operations Research (2010)

We describe in this article a new heuristic approach for the capacitated fixed-charge network design problem. This is a well known NP-hard problem that has been extensively studied. We propose to use local branching to tackle it. Local branching is a novel metaheuristic technique presented by Fischetti and Lodi [Local branching. Mathematical Programming Series B 2003;98:23-47] that utilizes a general MIP solver to explore neighborhoods. Our implementation is tested on a large set of benchmark instances. The results show that the method outperforms the best heuristic approaches found in the literature.
A New Automatic Teller Machine (ATM) Proposal through the Analysis of ATMs of Three Banks
Authors: Serdar Yarlikas
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

This study tries to propose a new ATM through the analysis of automatic teller machines (ATMs) of different banks. To propose a new ATM, the ATMs of three banks in Turkey were investigated. These banks were Bank-1, Bank-2 and Bank-3. The strengths and weaknesses of the ATMs of the three banks were tried to be determined by comparing the ATMs. To determine the strengths and weaknesses of these ATMs, transaction performance analysis and a questionnaire were applied to the participants. There were 30 participants in the study. Through the transaction performance analysis and the questionnaire, strength points of ATMs were determined. The strength points of ATMs were proposed in order to adapt into the new ATM. At the end of the study, the design properties and the features of the new ATM were stated.
Genetic Algorithm Based Feature Selection for Fracture Surface Images Classification
Authors: Ling Li, Ming Li, YuMing Lu, YongLiang Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Feature extraction and feature selection of fracture surface images provided by scanning electron microscopy (SEM) are two main challenges in classification of metal fracture surface images. In extracting features, the statistical characteristics of gray-level co-occurrence matrix and the fractal dimension of fracture surface images are computed as feature sets; and then , a genetic algorithm (GA) approach is presented to select a subset of features to discriminate different classes fracture surface images. A new fitness function based on minimum description length and maximum class separability is proposed to drive GA and it is compared with other feature selection method. Experimental results show that the GA driven by it selected a good subset of features to discriminate fracture surface images effectively.
Modeling form for on-line following of musical performances
Authors: Bryan Pardo, William Birmingham
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

Automated musical accompaniment of human performers often requires an agent be able to follow a musical score with similar facility to that of a human performer. Systems described in the literature represent musical scores in a way that assumes no large-scale structural variation of the piece during performance. If the performer deviates from the expected path by skipping or repeating a section, the system may become lost. We describe a way to automatically generate a Markov model from a written score that models the score form, and an on-line algorithm to align a performance to a score. The resulting system can follow performances that take alternate paths through the score without losing its place. We compare the performance of our system to that of sequence-based score followers on a melodic corpus of 98 Jazz melodies. Results show that explicitly representing the branching structure of a score significantly improves score following when the branch a performer may take is unknown beforehand.
Ultimate Attribute Opening Segmentation with Shape Information
Authors: Jorge Hernández, Beatriz Marcotegui
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

In this paper, a method for morphological segmentation using shape information is presented. This method is based on a morphological operator named ultimate attribute opening (UAO). Our approach considers shape information to favor the detection of specific shapes. The method is validated in the framework of two applications: façade analysis and scene-text detection. The experimental results show that our approach is more robust than the standard UAO.