ppxscal/embedding_network huggingface dataset:
An information technology department in a disadvantaged municipality in Mexico: need and feasibility
Authors: Sergio R. Coria, Aurelia Gómez-Gómez, Juan C. Bustamante
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

The present research analyzes the need for an area for management of information and communication technologies in the local government of a disadvantaged municipality in M&eacute;xico. Also, the feasibility of its implementation is addressed and a pilot testing is proposed considering the social and economic constraints. Specifically, the characteristics and conditions of San Andr&eacute;s Paxtl&aacute;n, in the state of Oaxaca, are addressed. The study includes an analysis of infrastructure and personnel; it also proposes a requirement specifications task and suggests a basic software application as a tool to reinforce the municipal government's capabilities for information processing. The research is performed within the context of the participation of UNSIS, a Oaxacan university, in ADIs (Agencies for Integral Development), a federal program of the Social Development Ministry (SEDESOL). The purpose is to obtain knowledge and experience which will allow us to suggest a methodology and an organizational model for other similar municipalities.
Software Reliability and Metrics, 1st edition
Authors: N. Fenton, B. Littlewood
Venue:  (2007)

Proceedings of the Software Reliability and Metrics Conference, held at the Dorint Sporthotel, Garmisch-Partenkirchen, Germany, 12-14 September 1990.
Detection of Locally Over-Represented GO Terms in Protein-Protein Interaction Networks
Authors: Mathieu Lavallée-Adam, Benoit Coulombe, Mathieu Blanchette
Venue: Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology (2009)

High-throughput methods for identifying protein-protein interactions produce increasingly complex and intricate interaction networks. These networks are extremely rich in information, but extracting biologically meaningful hypotheses from them and representing them in a human-readable manner is challenging. We propose a method to identify Gene Ontology terms that are locally over-represented in a subnetwork of a given biological network. Specifically, we propose two methods to evaluate the degree of clustering of proteins associated to a particular GO term and describe four efficient methods to estimate the statistical significance of the observed clustering. We show, using Monte Carlo simulations, that our best approximation methods accurately estimate the true p-value, for random scale-free graphs as well as for actual yeast and human networks. When applied to these two biological networks, our approach recovers many known complexes and pathways, but also suggests potential functions for many subnetworks.
An efficient handoff decision algorithm for vertical handoff between WWAN and WLAN
Authors: Min Liu, Zhong-Cheng Li, Xiao-Bing Guo
Venue: Journal of Computer Science and Technology (2007)

Vertical handoff is one significant challenge for mobility management in heterogeneous wireless networks. Compared with horizontal handoff, vertical handoff involves different wireless network technologies varying widely in terms of bandwidth, delay, coverage area, power consumption, etc. In this paper, we analyze the signal strength model of mobile node and present a new vertical handoff decision algorithm. This algorithm can adapt to the change of mobile node's velocity and improve the handoff efficiency significantly. We analyze the algorithm's performance and the effect of different parameters on handoff triggering. In addition, we propose three performance evaluation models and verify the algorithm's feasibility and effectiveness in simulations.
POSBIOTM-NER in the shared task of BioNLP/NLPBA 2004
Authors: Yu Song, Eunju Kim, Gary Geunbae Lee, Byoung-kee Yi
Venue: Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (2004)

Two classifiers -- Support Vector Machine (SVM) and Conditional Random Fields (CRFs) are applied here for the recognition of biomedical named entities. According to their different characteristics, the results of two classifiers are merged to achieve better performance. We propose an automatic corpus expansion method for SVM and CRF to overcome the shortage of the annotated training data. In addition, we incorporate a keyword-based post-processing step to deal with the remaining problems such as assigning an appropriate named entity tag to the word/phrase containing parentheses.
A simulation based analysis of the impact of IEEE 802.15.4 MAC parameters on the performance under different traffic loads
Authors: D. Rohm, M. Goyal, H. Hosseini, A. Divjak, Y. Bashir
Venue: Mobile Information Systems (2009)

IEEE 802.15.4, a MAC/PHY protocol for low power and low data rate wireless networks, is emerging as the popular choice for various monitoring and control applications. Depending on the application, the traffic load on an IEEE 802.15.4 network may vary over a wide range. The performance of the protocol, measured in terms of the packet loss probability and the packet latency, depends upon the prevailing traffic load among the nodes competing for channel access, the level of interference from the hidden nodes and the configuration of IEEE 802.15.4 MAC parameters. In this paper, we analyze via simulations the impact of different configurable MAC parameters on the performance of beaconless IEEE 802.15.4 networks under different traffic loads and under different levels of interference from the hidden nodes. Based on this analysis, we suggest the values of IEEE 802.15.4 MAC parameters that results in a good tradeoff between the packet loss probability and the packet latency under different conditions.
Poor access to digitised historical texts: the solutions of the IMPACT project
Authors: Hildelies Balk
Venue: Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data (2009)

While there is an increasing demand for digitally available material (text that is not digital is becoming virtually invisible), digitised material is becoming available too slowly and in too small quantities. And even if the material is digitised, the OCR (optical character recognition) technology does often not produce satisfactory results, especially for historical documents. This is due to various problems such as historic fonts, complex layouts, ink shining through and historical spelling variants.
Information dissemination in large-scale wireless networks with unreliable links
Authors: Zhenning Kong, Edmund M. Yeh
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

We study connectivity and information dissemination in large-scale wireless networks with unreliable links from a percolation-based perspective. We first examine static models, where each link of the network is functional with some probability, independently of all other links. We then examine dynamic models, where each link is active or inactive according to a Markov on-off process. We show that a phase transition exists in such dynamic networks, and the critical density for this model is the same as the one for static networks. Furthermore, due to the dynamic behavior of links, a delay is incurred for any information dissemination process even when propagation delay is ignored. We study the behavior of this delay and show that (ignoring propagation delay) the delay scales linearly with the Euclidean distance between the sender and the receiver when the network is in the subcritical phase, and the delay scales sub-linearly with the distance if the network is in the supercritical phase. We then show that when taking propagation delay into account, the delay of information dissemination always scales linearly with the Euclidean distance between the sender and the receiver.
Weblog-based Egocentric Mapping with Track Backs on Spatial Relations
Authors: Masatoshi Arikawa, Toru Hayashi, Kaoru Sezaki
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

This paper proposes a new framework for creating maps by the collaboration of personal users' posting of articles which include spatial information using a weblog's communication method, such as track back ping and RSS retrieval. In our daily life, each person differs in how he or she utilizes the real space. Therefore, maps which are visualization of spatial descriptions should be essentially created and customized for each person. To realize the concept of map, we adopt new methods, in which each article of the weblog has a map of a certain place where a user knows in detail. The methods enable users to create a variety of personal maps with articles written firstly and then to automatically generate links connecting articles over personal maps through common places of multiple maps to interchange information of their interests using track back ping and RSS retrieval. We call our proposed framework, for managing both the weblog and mapping services, weblog based egocentric mapping or blog ego map. We also discuss the process and configuration of our prototype system that develop a wide area map by collecting multiple egocentric local maps, departing from the traditional map-making process.
Collaborative networked organizations - Concepts and practice in manufacturing enterprises
Authors: Luis M. Camarinha-Matos, Hamideh Afsarmanesh, Nathalie Galeano, Arturo Molina
Venue: Computers and Industrial Engineering (2009)

Participation in networks has nowadays become very important for any organization that strives to achieve a differentiated competitive advantage, especially if the company is small or medium sized. Collaboration is a key issue to rapidly answer market demands in a manufacturing company, through sharing competencies and resources. The collaborative networked organizations (CNO) area focuses on this type of organizational models that use ICT for supporting the development of collaborative business opportunities. This paper describes the key concepts related to CNOs, provides a high level classification of collaborative networks, and presents some application cases in the manufacturing industry. Finally a holistic research initiative addressing key challenges in the area is presented and a discussion of the CNO paradigm contribution to the challenges faced by manufacturing systems is made.
The shield that never was: societies with single-peaked preferences are more open to manipulation and control
Authors: Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hemaspaandra, Jörg Rothe
Venue: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (2009)

Much work has been devoted, during the past twenty years, to using complexity to protect elections from manipulation and control. Many results have been obtained showing NP-hardness shields, and recently there has been much focus on whether such worst-case hardness protections can be bypassed by frequently correct heuristics or by approximations. This paper takes a very different approach: We argue that when electorates follow the canonical political science model of societal preferences the complexity shield never existed in the first place. In particular, we show that for electorates having single-peaked preferences, many existing NP-hardness results on manipulation and control evaporate.
Improving clustering stability with combinatorial MRFs
Authors: Ron Bekkerman, Martin Scholz, Krishnamurthy Viswanathan
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

As clustering methods are often sensitive to parameter tuning, obtaining stability in clustering results is an important task. In this work, we aim at improving clustering stability by attempting to diminish the influence of algorithmic inconsistencies and enhance the signal that comes from the data. We propose a mechanism that takes m clusterings as input and outputs m clusterings of comparable quality, which are in higher agreement with each other. We call our method the Clustering Agreement Process (CAP). To preserve the clustering quality, CAP uses the same optimization procedure as used in clustering. In particular, we study the stability problem of randomized clustering methods (which usually produce different results at each run). We focus on methods that are based on inference in a combinatorial Markov Random Field (or Comraf, for short) of a simple topology. We instantiate CAP as inference within a more complex, bipartite Comraf. We test the resulting system on four datasets, three of which are medium-sized text collections, while the fourth is a large-scale user/movie dataset. First, in all the four cases, our system significantly improves the clustering stability measured in terms of the macro-averaged Jaccard index. Second, in all the four cases our system managed to significantly improve clustering quality as well, achieving the state-of-the-art results. Third, our system significantly improves stability of consensus clustering built on top of the randomized clustering solutions.
Dynamic data compression in multi-hop wireless networks
Authors: Abhishek B. Sharma, Leana Golubchik, Ramesh Govindan, Michael J. Neely
Venue: Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems (2009)

Data compression can save energy and increase network capacity in wireless sensor networks. However, the decision of whether and when to compress data can depend upon platform hardware, topology, wireless channel conditions, and application data rates. Using Lyapunov optimization theory, we design an algorithm called SEEC that makes joint compression and transmission decisions with the goal of minimizing energy consumption. A practical distributed variant, DSEEC, is able to achieve more than 30% energy savings and adapts seamlessly across a wide range of conditions, without explicitly taking topology, application data rates, and link quality changes into account.
Precise manipulation of GUI on a touch screen with haptic cues
Authors: Ki-Uk Kyung, Jun-Young Lee, Mandayam A. Srinivasan
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

In this work, we designed a haptic stylus interface interacting with a touch screen. The stylus has functions of providing vibration, impact, and sound and it is a stand-alone system including its own battery and wireless communication module. We present a new interaction scheme on the Windows graphical user interface based on haptic feedback events for clicking, drag & drop, moving, scrolling, highlighting, and other things. From conducting experiments, we evaluated its performance that the haptic stylus improved precise control of GUI elements. A simple interactive digital sketchbook has been also implemented, which is providing haptic and auditory feedback while drawing and touching objects.
Brief paper: Sliding mode estimation schemes for incipient sensor faults
Authors: Halim Alwi, Christopher Edwards, Chee Pin Tan
Venue: Automatica (Journal of IFAC) (2009)

This paper proposes a new method for the analysis and design of sliding mode observers for sensor fault reconstruction. The proposed scheme addresses one of the restrictions inherent in other sliding mode estimation approaches for sensor faults in the literature (which effectively require the open-loop system to be stable). For open-loop unstable systems, examples can be found, for certain combinations of sensor faults, for which existing sliding mode and unknown input linear observer schemes cannot be employed, to reconstruct faults. The method proposed in this paper overcomes these limitations. Simulation results demonstrate the effectiveness of the design framework proposed in the paper.
An Empirical Study of Category Skew on Feature Selection for Text Categorization
Authors: Mondelle Simeon, Robert Hilderman
Venue: Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence (2009)

In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20 Newsgroups, OHSUMED, and Reuters-21578 text corpora. The datasets were generated to possess particular category skew characteristics (i.e., the number of documents assigned to each category). Our objective was to determine the best performance of the six feature selection methods, as measured by F-measure and Precision, regardless of the number of features needed to produce the best performance. We found the highest F-measure values were obtained by bi-normal separation and information gain and the highest Precision values were obtained by categorical proportional difference and chi-squared.
Visually-Driven Decision Making Using Handheld Devices
Authors: Gustavo Zurita, Pedro Antunes, Nelson Baloian, Felipe Baytelman, Antonio Farias
Venue: Proceeding of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges (2008)

This paper discusses group decision making from a visual-interactive perspective. The novelty of our approach is that its major focus is on developing a collection of visual-interactive elements for group decision-making. Our research departs from a collection of representative meeting scenarios to identify common decision-making elements and behavior similarities; and to elaborate a collection of feature sets realizing those common elements and behavior into visual-interactive artifacts. The paper also describes a handled application demonstrating the proposed feature sets. This application has been extensively used to support a wide range of meetings. An important contribution of this work is that the principle behind its approach to decision-making relies almost exclusively on gestures over visual elements.
Covering the semantic space of tourism: an approach based on modularized ontologies
Authors: Robert Barta, Christina Feilmayr, Birgit Pröll, Christoph Grün, Hannes Werthner
Venue: Proceedings of the 1st Workshop on Context, Information and Ontologies (2009)

Personalized online tourism services play a crucial role for tourists. In order to deliver adequate information, a semantic matching between tourism services and user context is needed. In the phase of trip planning, the essential user context comprises primarily user preferences and interests, while during the trip location and time context are added. While being on the move, unexpected events might force tourists to completely reschedule their travel plan and look for alternatives. In order to facilitate semantic matching between alternative touristic sites and user context, a specific vocabulary for the tourism domain, user type, time and location is needed. We demonstrate in this paper that existing tourism ontologies can hardly fulfill this goal as they mainly focus on domain concepts. The goal of this paper is to provide an alternative approach for covering the semantic space of tourism through the integration of modularized ontologies, such as user, W3C Time or W3C Geo, that center around a core domain ontology for the tourism sector.
Comparison of 2-D and 3-D computer models for the M. Salta rock fall, Vajont Valley, northern Italy
Authors: F. Tagliavini, P. Reichenbach, D. Maragna, F. Guzzetti, A. Pasuto
Venue: Geoinformatica (2009)

A rock fall occurs when a fragment of rock is detached from a cliff and travels down-slope at high speed. Rock falls are a constant hazard in mountainous regions and pose a significant threat to the population. In this paper, a comparison of software designed to model rock falls is presented. The computer codes selected for the experiment are STONE and RocFall®. STONE is a research code for the 3-dimensional simulation of rock falls. RocFall® is commercial software widely used for the 2-dimensional simulation of rock falls along user defined topographic profiles. The two computer programs require similar input and provide comparable outputs, allowing for a quantitative evaluation of their modelling results. To compare the software, the Monte Salta rock fall, in northern Italy, was selected. Specific tests were designed to compare the ability of the software to predict the maximum travel distance of the falling boulders, and the distance from the ground of the computed rock fall trajectories. Results indicate that the two rock fall modelling codes provide similar--but not identical--results. In general, STONE computes higher and longer rock fall trajectories than RocFall®, and allows identifying a larger area as potentially affected by falling boulders.
Incorporating knowledge about interaction for uniform agent design for simulation and operation
Authors: Jan D. Gehrke, Arne Schuldt
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

This paper deals with transferability of agent implementations from real-world operation to simulation. The objective is to minimise the additional effort for testing and evaluating agent behaviour, mainly arising from the need for synchronisation of simulation time. This can be achieved by incorporating knowledge about agent interaction. An implementation for the FIPA request agent interaction protocol demonstrates the feasibility of this approach.
Gate dielectric degradation in CMOS inverters
Authors: J. Martín-Martínez, S. Gerardin, R. Rodríguez, M. Nafría, X. Aymerich, A. Paccagnella, G. Ghidini
Venue: Microelectronic Engineering (2009)

To study the gate oxide degradation under stress conditions closer to the actual operation of devices in circuits, in this work, CMOS inverters have been stressed using DC and pulsed signals at the input. Uniform and non-uniform Fowler-Nordheim and Channel Hot Carrier stresses have been identified as those governing the oxide degradation, depending on the input signal, and modifying the electrical response of the device. In particular, a decrease of the saturation current is observed, which depends on the transistor type (NMOS or PMOS), input signal, and stress time. The results show larger degradations in the NMOS when the input frequency is increased, which has been attributed to the Channel Hot Carriers contribution during the output state transitions in the inverter. Also the impact of the different stresses on the circuit output is analyzed and related to the degradation of the devices. A shift in the inverter voltage transfer characteristic has been observed, whose direction depends on the degradation that the transistors have suffered, being more important at elevated frequencies.
Learning regulation functions of metabolic systems by artificial neural networks
Authors: Alberto Castellini, Vincenzo Manca
Venue: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009)

Metabolic P systems, also called MP systems, are discrete dynamical systems which proved to be effective for modeling biological systems. Their dynamics is generated by means of a metabolic algorithm based on "flux regulation functions". A significant problem related to the generation of MP models from experimental data concerns the synthesis of these functions. In this paper we introduce a new approach to the synthesis of MP fluxes relying on neural networks as universal function approximators, and on evolutionary algorithms as learning techniques. This methodology is successfully tested in the case study of mitotic oscillator in early amphibian embryos.