ppxscal/embedding_network huggingface dataset:
Goal and Risk Factors in Offshore Outsourced Software Development from Vendor's Viewpoint
Authors: Shareeful Islam, Md. Mahbubul Alam Joarder, Siv Hilde Houmb
Venue: Proceedings of the 2009 Fourth IEEE International Conference on Global Software Engineering (2009)

Reducing production cost is vital for ensuring sustainable competitive strength. This is particularly true in software development, in which there has been a move from in-house development to global and now also to offshore-outsourced software development. In offshore outsourcing, development activities are most often moved to low-cost development environments that are locally managed. However, this type of outsourcing is not without problems. Most development projects are complex, and moving control and responsibility away from the client increase complexity. But, there is a trade-off between cost and complexity and control, as well as an increased chance of failure of the project. This paper contributes to identify the goals from the early development components and risk factors threatening the goals to fulfill. A goal-driven software development risk management modeling (GSRM) propose to supports this task. We conducted a study based on Delphi survey process to obtain the goals and the risk factors in a different cultural environment for the offshore vendors in Bangladesh.
Multimedia at Work: Games in the Classroom at the Rochester Institute of Technology: A Case Study
Authors: Andrew M. Phelps, Christopher A. Egert, Jessica D. Bayliss
Venue: IEEE MultiMedia (2009)

This article explores curricular approaches designed to motivate students in computing through the use of games as an application domain. The authors examine three approaches: a games-centric introductory programming sequence, the incorporation of game-based projects into core courses, and the creation of virtual environments that mimic multiplayer online games.
Differential Equations for Morphological Amoebas
Authors: Martin Welk, Michael Breuß, Oliver Vogel
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

This paper is concerned with amoeba median filtering, a structure-adaptive morphological image filter. It has been introduced by Lerallut et al. in a discrete formulation. Experimental evidence shows that iterated amoeba median filtering leads to segmentation-like results that are similar to those obtained by self-snakes, an image filter based on a partial differential equation. We investigate this correspondence by analysing a space-continuous formulation of iterated median filtering. We prove that in the limit of vanishing radius of the structuring elements, iterated amoeba median filtering indeed approximates a partial differential equation related to self-snakes and the well-known (mean) curvature motion equation. We present experiments with discrete iterated amoeba median filtering that confirm qualitative and quantitative predictions of our analysis.
Helping Men Decide About Scheduling a Prostate Cancer Screening Exam
Venue: Interfaces (2009)

This paper reports on the application of decision counseling based on the analytic hierarchy process (AHP) to assist men in deciding whether or not to schedule a prostate cancer screening exam. The study is based on data that we collected from 129 men enrolled in the intervention arm of two randomized, controlled trials. First, we administered a baseline survey to gather data on participant sociodemographic characteristics and perceptions about prostate cancer and screening. Subsequently, a health educator conducted a session with each man to review an informational booklet on prostate cancer screening. Then, the health educator used an AHP-based decision process that identified the most important factors (both pro or con) that might influence prostate cancer screening preferences, clarified preferences related to scheduling a prostate screening exam, and elicited a scheduling decision. We performed univariable and multivariable logistic regression analyses to identify variables associated with the decision. Of the 129 men enrolled, 85 men (66 percent) decided to schedule a prostate cancer screening exam. Multivariable analyses showed that preference strengths and favorable perceptions of prostate cancer screening predicted the decision to screen.
The Structure of the ORD Speech Corpus of Russian Everyday Communication
Authors: Tatiana Sherstinova
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

The paper presents the structure of the ORD speech corpus of Russian everyday communication, which contains recordings of all spoken episodes recorded during twenty-four hours by a demographically balanced group of people in St. Petersburg. The paper describes the structure of the corpus, consisting of audio files, annotation files and information system and reviews the main communicative episodes presented in the corpus.
Behavior-Sensitive User Interfaces for Smart Environments
Authors: Veit Schwartze, Sebastian Feuerstack, Sahin Albayrak
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

In smart environments interactive assistants can support the user's daily life by being ubiquitously available through any interaction device that is connected to the network. Focusing on graphical interaction, user interfaces are required to be flexible enough to be adapted to the actual context of the user. In this paper we describe an approach, which enables flexible user interface layout adaptations based on the current context of use (e.g. by changing the size of elements to visually highlight the important elements used in a specific situation). In a case study of the "4-star Cooking assistant" application we prove the capability of our system to dynamically adapt a graphical user interface to the current context of use.
Systems Analysis and Design
Authors: Gary B. Shelly, Harry J. Rosenblatt
Venue:  (2009)

"Systems Analysis and Design, Eighth Edition" offers a practical, visually appealing approach to information systems development.
Higher-Order Multivariate Markov Chains Based on Particle Swarm Optimization Algorithm for Air Pollution Forecasting
Authors: Zhilong Wang, Zengtai Gong, Weigang Zhao, Wenjin Zhu
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This paper presents a higher-order multivariate Markov chain model combined with particle swarm optimization algorithm. Due to some deficiencies, such as only considering the maximum probability while ignoring the effect of the other probabilities, the traditional method of probability distribution has been replaced by the level characteristics value of fuzzy set theory; further more Particle swarm optimization algorithm has been employed to optimize the coefficient of level characteristics value. In recent years, air pollution acutely aggravates chronic diseases in mankind, such as sulfur dioxide pollution which plays a most important role in acid rain. In order to confront air pollution problems and to plan abatement strategies, both the scientific community and the relevant authorities have focused on monitoring and analyzing the atmospheric pollutants concentration. Taking the forecast of air pollutants as a case, we illustrate the improvement of accuracy and efficiency of the new method and the result shows the new method is predominant in forecasting of multivariate and non-linear data.
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
Authors: Zong-Xian Yin
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different types and its ability to accurately identify the inherent clusters within the data. The scaling coefficient in the PLV algorithm plays a key role in reducing the effects of noise, thereby improving the precision of the clustering results. However, the optimal value of the scaling parameter varies depending on the population type of dataset. Accordingly, the current study proposes an evaluation method for evaluating suitable values of the scaling parameter. The relative comparison of each method is then examined by conducting PLV clustering trials using datasets comprising data of different types and patterns.
Mobile Journalist Toolkit: a field study on producing news articles with a mobile device
Authors: Tero Jokela, Heli Väätäjä, Tiina Koponen
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

Today's handheld mobile devices with advanced multimedia capabilities and wireless broadband connectivity have emerged as potential new tools for journalists to produce news articles. It is envisioned that they could enable faster, more authentic, and more efficient news production, and many large news producing organizations, including Reuters and BBC, have recently been experimenting with them. In this paper, we present a field study on using mobile devices to produce news articles. During the study, a group of 19 M.A.-level journalism students used the Mobile Journalist Toolkit, a lightweight set of tools for mobile journalist work built around the Nokia N82 camera phone, to produce an online news blog. Our results indicate that while the mobile device cannot completely replace the traditional tools, for some types of journalist tasks they provide major benefits over the traditional tools, and are thus a useful addition to the journalist's toolbox.
Random dense bipartite graphs and directed graphs with specified degrees
Authors: Catherine Greenhill, Brendan D. McKay
Venue: Random Structures Algorithms (2009)

Let s and t be vectors of positive integers with the same sum. We study the uniform distribution on the space of simple bipartite graphs with degree sequence s in one part and t in the other; equivalently, binary matrices with row sums s and column sums t. In particular, we find precise formulae for the probabilities that a given bipartite graph is edge-disjoint from, a subgraph of, or an induced subgraph of a random graph in the class. We also give similar formulae for the uniform distribution on the set of simple directed graphs with out-degrees s and in-degrees t. In each case, the graphs or digraphs are required to be sufficiently dense, with the degrees varying within certain limits, and the subgraphs are required to be sufficiently sparse. Previous results were restricted to spaces of sparse graphs. Our theorems are based on an enumeration of bipartite graphs avoiding a given set of edges, proved by multidimensional complex integration. As a sample application, we determine the expected permanent of a random binary matrix with row sums s and column sums t. &copy; 2009 Wiley Periodicals, Inc. Random Struct. Alg., 2009
Is the Distance Compression Effect Overstated? Some Theory and Experimentation
Authors: Stephen France, Douglas Carroll
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Previous work in the document clustering literature has shown that the Minkowski-p distance metrics are unsuitable for clustering very high dimensional document data. This unsuitability is put down to the effect of "compression" of the distances created using the Minkowski-p metrics on high dimensional data. Previous experimental work on distance compression has generally used the performance of clustering algorithms on distances created by the different distance metrics as a proxy for the quality of the distance representations created by those metrics. In order to separate out the effects of distances from the performance of the clustering algorithms we tested the homogeneity of the latent classes with respect to item neighborhoods rather than testing the homogeneity of clustering solutions with respect to latent classes. We show the theoretical relationships between the cosine, correlation, and Euclidean metrics. We posit that some of the performance differential between the cosine and correlation metrics and the Minkowski-p metrics is due to the inbuilt normalization of the cosine and correlation metrics. The normalization effect decreases with increasing dimensionality and the distance compression effect increases with increasing dimensionality. For document datasets with dimensionality up to 20,000, the normalization effect dominates the distance compression effect. We propose a methodology for measuring the relative normalization and distance compression effects.
ITM Probe
Authors: Aleksandar Stojmirović, Yi-Kuo Yu
Venue: Bioinformatics (2009)

Summary: Founded upon diffusion with damping, ITM Probe is an application for modeling information flow in protein interaction networks without prior restriction to the sub-network of interest. Given a context consisting of desired origins and destinations of information, ITM Probe returns the set of most relevant proteins with weights and a graphical representation of the corresponding sub-network. With a click, the user may send the resulting protein list for enrichment analysis to facilitate hypothesis formation or confirmation. Availability:ITM Probe web service and documentation can be found at www.ncbi.nlm.nih.gov/CBBresearch/qmbp/mn/itm_probe Contact: yyu@ncbi.nlm.nih.gov
Fractals Generated by Algorithmically Random Brownian Motion
Authors: Willem L. Fouché
Venue: Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice (2009)

A continuous function x on the unit interval is an algorithmically random Brownian motion when every probabilistic event A which holds almost surely with respect to the Wiener measure, is reflected in x, provided A has a suitably effective description. In this paper we study the zero sets and global maxima from the left as well as the images of compact sets of reals of Hausdorff dimension zero under such a Brownian motion. In this way we shall be able to find arithmetical definitions of perfect sets of reals whose elements are linearly independent over the field of recursive real numbers.
Mobility Model for Tactical Networks
Authors: Milan Rollo, Antonín Komenda
Venue: Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2009)

In this paper a synthetic mobility model which represents behavior and movement pattern of heterogeneous units in disaster relief and battlefield scenarios is proposed. These operations usually take place in environment without preexisting communication infrastructure and units thus have to be connected by wireless communication network. Units cooperate to fulfill common tasks and communication network has to serve high amount of communication requests, especially data, voice and video stream transmissions. To verify features of topology control, routing and interaction protocols software simulations are usually used, because of their scalability, repeatability and speed. Behavior of all these protocols relies on the mobility model of the network nodes, which has to resemble real-life movement pattern. Proposed mobility model is goal-driven and provides support for various types of units, group mobility and realistic environment model with obstacles. Basic characteristics of the mobility model like node spatial distribution and average node degree were analyzed.
A Traffic Monitoring Method for High Speed Networks
Authors: Yusuke Shomura, Yoshinori Watanabe, Naoya Ikeda
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

Abnormal traffic that causes various problems on the Internet, such as P2P flows, DDoS attacks, and Internet worms, is increasing; therefore, the importance of methods that identify and control abnormal traffic is also increasing. Though the application of frequent-itemset-mining techniques is a promising way to analyze Internet traffic, the huge amount of data on the Internet prevents such techniques from being effective. The limitation of DRAM memory access speed makes this problem further difficult. To overcome this problem, we have developed a simple frequent-itemset-mining method that uses only a small amount of memory but is effective even with the large volumes of data associated with broadband Internet traffic. We show that our method can analyze host's behavior and find P2P software, spams, and scans in Internet traffic. In this paper, a hash-based packet aggregation method and a multi-thread cardinality analysis method are proposed to achieve real-time analyzing ability for 13-Gbps networks.
Influence diagnostics in nonlinear mixed-effects elliptical models
Authors: Cibele M. Russo, Gilberto A. Paula, Reiko Aoki
Venue: Computational Statistics Data Analysis (2009)

In this work we propose and analyze nonlinear elliptical models for longitudinal data, which represent an alternative to gaussian models in the cases of heavy tails, for instance. The elliptical distributions may help to control the influence of the observations in the parameter estimates by naturally attributing different weights for each case. We consider random effects to introduce the within-group correlation and work with the marginal model without requiring numerical integration. An iterative algorithm to obtain maximum likelihood estimates for the parameters is presented, as well as diagnostic results based on residual distances and local influence [Cook, D., 1986. Assessment of local influence. Journal of the Royal Statistical Society - Series B 48 (2), 133-169; Cook D., 1987. Influence assessment. Journal of Applied Statistics 14 (2), 117-131; Escobar, L.A., Meeker, W.Q., 1992, Assessing influence in regression analysis with censored data, Biometrics 48, 507-528]. As numerical illustration, we apply the obtained results to a kinetics longitudinal data set presented in [Vonesh, E.F., Carter, R.L., 1992. Mixed-effects nonlinear regression for unbalanced repeated measures. Biometrics 48, 1-17], which was analyzed under the assumption of normality.
Revisiting Constraint Models for Planning Problems
Authors: Roman Barták, Daniel Toropila
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Planning problems deal with finding a sequence of actions that transfer the initial state of the world into a desired state. Frequently such problems are solved by dedicated algorithms but there exist planners based on translating the planning problem into a different formalism such as constraint satisfaction or Boolean satisfiability and using a general solver for this formalism. The paper describes how to enhance existing constraint models of planning problems by using techniques such as symmetry breaking (dominance rules), singleton consistency, nogoods, and lifting.
RATEWeb: Reputation Assessment for Trust Establishment among Web services
Authors: Zaki Malik, Athman Bouguettaya
Venue: The VLDB Journal &mdash; The International Journal on Very Large Data Bases (2009)

We introduce RATEWeb, a framework for establishing trust in service-oriented environments. RATEWeb supports a cooperative model in which Web services share their experiences of the service providers with their peers through feedback ratings. The different ratings are aggregated to derive a service provider's reputation. This in turn is used to evaluate trust. The overall goal of RATEWeb is to facilitate trust-based selection and composition of Web services. We propose a set of decentralized techniques that aim at accurately aggregating the submitted ratings for reputation assessment. We conduct experiments to assess the fairness and accuracy of the proposed techniques.
Measuring and Controlling of Analog Signal Based on High-Speed I/O Port of PLC
Authors: Hongtao Ma, Xiaojun Wang, FenPing Zhou
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Frequency signal is gotten from voltage signal by external V/F converter, and then is sent to high-speed counter of PLC. As a host, CPU222 of Siemens S7-200 series PLC is used. Through programming PLC, input voltage is measured by high-speed I/O channels. High-speed digital pulse of variable duty cycle produced by PLC’s PWM pulse generator is turned into voltage signal of amplitude-adjustable after external RC low-pass filter circuit filter to achieve controlling of output analog. The method reduces the cost of measurement and control system via replacing expensive analog I/O modules. Peripheral circuit design and PLC program are given. Through analyzing and comparing data, it is found that the system can achieve ± 0.1% accuracy.
Global optimization of multi-parametric MILP problems
Authors: N. P. Faísca, V. D. Kosmidis, B. Rustem, E. N. Pistikopoulos
Venue: Journal of Global Optimization (2009)

In this paper, we present a novel global optimisation approach for the general solution of multi-parametric mixed integer linear programs (mp-MILPs). We describe an optimisation procedure which iterates between a (master) mixed integer nonlinear program and a (slave) multi-parametric program. Moreover, we explain how to overcome the presence of bilinearities, responsible for the non-convexity of the multi-parametric program, in two classes of mp-MILPs, with (i) varying parameters in the objective function and (ii) simultaneous presence of varying parameters in the objective function and the right-hand side of the constraints. Examples are provided to illustrate the solution steps.
What Happened to Content-Based Information Filtering?
Authors: Nikolaos Nanas, Anne Roeck, Manolis Vavalis
Venue: Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory (2009)

Personalisation can have a significant impact on the way information is disseminated on the web today. Information Filtering can be a significant ingredient towards a personalised web. Collaborative Filtering is already being applied successfully for generating personalised recommendations of music tracks, books, movies and more. The same is not true for Content-Based Filtering. In this paper, we identify some possible reasons for the notable absence of a broad range of personalised information delivery and dissemination services on the web today. We advocate that a more holistic approach to user profiling is required and we discuss the series of still open, challenging research issues raised.
Did I Get It Right: Head Gestures Analysis for Human-Machine Interactions
Authors: Jürgen Gast, Alexander Bannat, Tobias Rehrl, Gerhard Rigoll, Frank Wallhoff, Christoph Mayer, Bernd Radig
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

This paper presents a system for another input modality in a multimodal human-machine interaction scenario. In addition to other common input modalities, e.g. speech, we extract head gestures by image interpretation techniques based on machine learning algorithms to have a nonverbal and familiar way of interacting with the system. Our experimental evaluation proofs the capability of the presented approach to work in real-time and reliable.