ppxscal/embedding_network huggingface dataset:
Path
Authors: David Zamar, Ben Tripp, George Ellis, Denise Daley
Venue: Bioinformatics (2009)

Summary: Traditional methods of genetic study design and analysis work well under the scenario that a handful of single nucleotide polymorphisms (SNPs) independently contribute to the risk of disease. For complex diseases, susceptibility may be determined not by a single SNP, but rather a complex interplay between SNPs. For large studies involving hundreds of thousands of SNPs, a brute force search of all possible combinations of SNPs associated with disease is not only inefficient, but also results in a multiple testing paradigm, whereby larger and larger sample sizes are needed to maintain statistical power. Pathway-based methods are an example of one of the many approaches in identifying a subset of SNPs to test for interaction. To help determine which SNP–SNP interactions to test, we developed Path, a software application designed to help researchers interface their data with biological information from several bioinformatics resources. To this end, our application brings together currently available information from nine online bioinformatics resources including the National Center for Biotechnology Information (NCBI), Online Mendelian Inheritance in Man (OMIM), Kyoto Encyclopedia of Genes and Genomes (KEGG), UCSC Genome Browser, Seattle SNPs, PharmGKB, Genetic Association Database, the Single Nucleotide Polymorphism database (dbSNP) and the Innate Immune Database (IIDB). Availability: The software, example datasets and tutorials are freely available from http://genapha.icapture.ubc.ca/PathTutorial. Contact: ddaley@mrl.ubc.ca
Mandarin-English Information (MEI): investigating translingual speech retrieval
Authors: Helen Meng, Sanjeev Khudanpur, Gina Levow, Douglas W. Oard, Hsin-Min Wang
Venue: ANLP-NAACL 2000 Workshop: Embedded Machine Translation Systems (2000)

We describe a system which supports English text queries searching for Mandarin Chinese spoken documents. This is one of the first attempts to tightly couple speech recognition with machine translation technologies for cross-media and cross-language retrieval. The Mandarin Chinese news audio are indexed with word and subword units by speech recognition. Translation of these multi-scale units can effect cross-language information retrieval. The integrated technologies will be evaluated based on the performance of translingual speech retrieval.
CMOS voltage-mode quaternary look-up tables for multi-valued FPGAs
Authors: R. C. G. da Silva, C. Lazzari, H. Boudinov, L. Carro
Venue: Microelectronics Journal (2009)

Field programmable gate arrays usage has been growing steadily for years now. Their popularity stems from the fact that they can be reprogrammed to implement any function, with any amount of parallelism. Unfortunately, exactly due to their flexibility, FPGAs require a huge amount of resources, in the form of LUTs and routing switches, and these can take up to 90% of the chip area. In this paper we present the development of a low-power full CMOS multiple-valued logic to build a LUT for FPGAs. Several circuits are mapped to quaternary LUTs and compared to their binary counterpart. Results show great improvements in terms of area and power consumption. Moreover, we show the positive impact of the proposed architecture in the global reduction of routing switches and wiring, and hence in the total FPGA area.
Exploring Network Security in PROFIsafe
Authors: Johan Åkerberg, Mats Björkman
Venue: Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security (2009)

Safety critical systems are used to reduce the probability of failure that could cause danger to person, equipment or environment. The increasing level of vertical and horizontal integration increases the security risks in automation. Since the risk of security attacks can not be treated as negligible anymore, there is a need to investigate possible security attacks on safety critical communication.In this paper we show that it is possible to attack PROFIsafe and change the safety-related process data without any of the safety measures in the protocol detecting the attack. As a countermeasure to network security attacks, the concept of security modules in combination with PROFIsafe will reduce the risk of security attacks, and is in line with the security concept defense-in-depth.
Lens Accommodation to the Stereoscopic Vision on HMD
Authors: Satoshi Hasegawa, Masako Omori, Tomoyuki Watanabe, Kazuhiro Fujikake, Masaru Miyao
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

The purpose of this study was to clarify the effect on visual function of gazing at stereoscopic images on a head mounted display (HMD). We measured visual accommodation during stereoscopic viewing while using a HMD by using our original instrument of measurement. The presented image was shown 3-dimensionally on an HMD set up at a visual distance of 3 cm. A spherical object moved back and forth toward and away from the observer in a 10 sec cycle. While the subjects were gazing at the 3D image with both eyes, the lens accommodation in the right eye was measured and recorded. Accommodation to the virtual objects was shown during the viewing of stereoscopic images of 3D computer graphics, but was not shown when the images were displayed without appropriate binocular parallax. It is suggested that stereoscopic moving images on HMD induced the visual accommodation by the expansion and contraction of the ciliary muscle, which is synchronizing with convergence.
Weighted super solutions for constraint programs
Authors: Alan Holland, Barry O'Sullivan
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

Super solutions to constraint programs guarantee that if a limited number of variables lose their values, repair solutions can be found by modifying a bounded number of assignments. However, in many application domains the classical super solutions framework is not expressive enough since it only reasons about the number of breaks in a solution and the number of changes that are necessary to find a repair. For example, in combinatorial auctions we may wish to guarantee that we can always find a repair solution whose revenue exceeds some threshold while limiting the cost associated with forming such a repair. In this paper we present the weighted super solution framework that involves two important extensions. Firstly, the set of variables that may lose their values is determined using a probabilistic approach enabling us to find repair solutions for assignments that are most likely to fail. Secondly, we include a mechanism for reasoning about the cost of repair. The proposed framework has been successfully used to find robust solutions to combinatorial auctions.
Beyond individualism: modeling team playing behavior in robot soccer through case-based reasoning
Authors: Raquel Ros, Manuela Veloso, Ramon López De Mántaras, Carles Sierra, Josep Lluis Arcos
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

We propose a Case-Based Reasoning approach for action selection in the robot soccer domain presented in the 8th European Conference on Case-Based Reasoning (2006). Based on the current state of a game, the robots retrieve the most similar past situation and then the team reproduces the sequence of actions performed in that occasion. In this domain we have to deal with all the difficulties that a real environment involves.
Physical space and division of labor around a tabletop tangible simulation
Authors: Patrick Jermann, Guillaume Zufferey, Bertrand Schneider, Aurélien Lucci, Simon Lépine, Pierre Dillenbourg
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

We describe a tangible tabletop simulation, the Tinker Table, which is designed to train logistics apprentices in Switzerland. Vocational training is organized following a dual model which combines practice on the workplace and theory in the professional school. Two groups of learners were observed during an activity which consists of optimizing the layout of a warehouse. We propose a descriptive account of how the spatial position of resources and learners influences the type of manipulations which are performed by each of them.
Context-based message expansion for disentanglement of interleaved text conversations
Authors: Lidan Wang, Douglas W. Oard
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

Computational processing of text exchanged in interactive venues in which participants engage in simultaneous conversations can benefit from techniques for automatically grouping overlapping sequences of messages into separate conversations, a problem known as "disentanglement." While previous methods exploit both lexical and non-lexical information that exists in conversations for this task, the inter-dependency between the meaning of a message and its temporal and social contexts is largely ignored. Our approach exploits contextual properties (both explicit and hidden) to probabilistically expand each message to provide a more accurate message representation. Extensive experimental evaluations show our approach outperforms the best previously known technique.
Effect of Enclosure Culture on Water Quality: A Case Study in Lake Honghu, Hubei Province, China
Authors: Li Tao, Fang Fang, Wang Xue Lei, Wu Chen Bo
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

In this paper, we studied the spatial and temporal change of water quality in Lake Honghu based on long-term monitoring data (1973-2006). Quantitative studies of the relationship between enclosure culture and water quality in lakes were conducted, through analysis of water quality changes in the whole progress of enclosure culture, and comparisons of water quality in enclosure culture area with other areas. The exploitation of Lake Honghu had six different periods starting from the appearance of enclosure culture in the 1980s to its removal in 2005. By analyzing the relationship between the change in area of enclosure culture and the change of water quality, and by analyzing the relationship of spatial distribution between enclosure culture and water quality, this paper concluded that a high intensity closure culture affected the water quality of recent years in Lake Honghu.
Research on Portable Instrument for Determining Hemoglobin Concentration in Whole Blood
Authors: Yufeng Yao, Jianwen Zhao, Bo Huang, Yajun Zhen
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Based on the azide methemoglobin method, a portable hemoglobin concentration determinator has been developed, utilizing the disposable microcuvette containing reagent, which could be used for performing the quick online test of undiluted and unhemolyzed whole blood within 30 to 60 seconds. In this paper, a detailed description has been made on measuring principle, measuring mechanism, controlling system and derivation of concentration calculating formula. As the clinical trials indicates that the pertinence of the measurement result and the accuracy can reach as high as 0.9836 and 96.32% respectively compared to cyan-methemoglobin method. The instrument can be widely applied in moveable blood collecting - and - supplying institutions, assessing athletic performance and family health care etc.
Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study
Authors: Christina Athanasopoulou, Vasilis Chatziathanasiou
Venue: Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers (2009)

In this paper, the methodology for an intelligent assistant for power plants is presented. Multiagent systems technology and data mining techniques are combined to enhance the intelligence of the proposed application, mainly in two aspects: increase the reliability of input data (sensor validation and false measurement replacement) and generate new control monitoring rules. Various classification algorithms are compared. The performance of the application, as tested via simulation experiments, is discussed.
The Design of Seamless MPI Computing Environment for Commodity-Based Clusters
Authors: Shinji Sumimoto, Kohta Nakashima, Akira Naruse, Kouichi Kumon, Takashi Yasui, Yoshikazu Kamoshida, Hiroya Matsuba, Atsushi Hori, Yutaka Ishikawa
Venue: Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2009)

This paper describes the design and implementation of a seamless MPI runtime environment, called MPI-Adapter, that realizes MPI program binary portability in different MPI runtime environments. MPI-Adapter enables an MPI binary program to run on different MPI implementations. It is implemented as a dynamic loadable module so that the module dynamically captures all MPI function calls and invokes functions defined in a different MPI implementation using the data type translation techniques. A prototype system was implemented for Linux PC clusters to evaluate the effectiveness of MPI-Adapter. The results of an evaluation on a Xeon Processor (3.8GHz) based cluster show that the MPI translation overhead of MPI sending (receiving) is around 0.028μs, and the performance degradation of MPI-Adapter is negligibly small on the NAS parallel benchmark IS.
Concept Shift Detection for Frequent Itemsets from Sliding Windows over Data Streams
Authors: Jia-Ling Koh, Ching-Yi Lin
Venue: Database Systems for Advanced Applications: DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Brisbane, Australia, April 20 - 23, 2009 (2009)

In a mobile business collaboration environment, frequent itemsets analysis will discover the noticeable associated events and data to provide important information of user behaviors. Many algorithms have been proposed for mining frequent itemsets over data streams. However, in many practical situations where the data arrival rate is very high, continuous mining the data sets within a sliding window is unfeasible. For such cases, we propose an approach whereby the data stream is monitored continuously to detect any occurrence of a concept shift. In this context, a "concept-shift" means a significant number of frequent itemsets in the up-to-date sliding window are different from the previously discovered frequent itemsets. Our goal is to detect the notable changes offrequent itemsets according to an estimated changing rate of frequent itemsets without having to perform mining of the frequent itemsets at every time point. Consequently, for saving the computing costs, it is triggered to discover the complete set of new frequent itemsets only when any significant change is observed. The experimental results show that the proposed method detects concept shifts of frequent itemsets both effectively and efficiently.
The Fault Location of Optical Cable for Communications Based on GIS
Authors: Hu Chaoju, Sheng Rui
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

GIS (Geographical Information System) is an information system to acquire, store, manage, describe and analyze the concerned spatial and geographical data of the global surface. GIS is introduced to the optical cable for communications fields such as maintenance, resources management and construction. For communications cable fault location is difficult to assign, the efficiency of maintenance is low and other issues, we design a fault location algorithm based on GIS, which can point the fault of optical cable rapidly and accurately. In this paper, according to basic working principle of OTDR, specific characteristics and requirements of cable optical communications for maintenance, we establish a GIS system of a fiber optic cable, in order to realize informationization of fiber optical cable maintenance and improve the maintenance efficiency of fiber optic cable.
Automated suggestions for miscollocations
Authors: Anne Li-E Liu, David Wible, Nai-Lung Tsao
Venue: Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications (2009)

One of the most common and persistent error types in second language writing is collocation errors, such as learn knowledge instead of gain or acquire knowledge, or make damage rather than cause damage. In this work-in-progress report, we propose a probabilistic model for suggesting corrections to lexical collocation errors. The probabilistic model incorporates three features: word association strength (MI), semantic similarity (via Word-Net) and the notion of shared collocations (or intercollocability). The results suggest that the combination of all three features outperforms any single feature or any combination of two features.
Constructive and GRASP Approaches to Radiotherapy Treatment Scheduling
Authors: Sanja Petrovic, Pedro Leite-Rocha
Venue: Proceedings of the Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Science 2008 (2008)

With the increase in the number of cancer cases and new government regulations for cancer treatment, radiotherapy scheduling has gained a lot of importance recently. In this paper, four constructive approaches to radiotherapy scheduling are introduced, which investigates effects of changin the following parameters on the schedule performance: (1) changing the day to serve as startup point in the search for the scheduling of the patient's sessions, (2) changing the threshold on machine capacity for patients of different category, (3) changing the frequency of scheduling and (4) changing the time distance from the waiting time targets of patients of different categories to the day when a schedule can be created. In addition, a GRASP based algorithm is developed for improving the solution obtained by the constructive approaches. These algorithms are investigated on real-world data obtained from the Nottingham University Hospitals NHS Trust, UK.
Decision-making under risk: An fmri study
Authors: Johannes Hewig, Thomas Straube, Ralf H. Trippe, Nora Kretschmer, Holger Hecht, Michael G. H. Coles, Wolfgang H. R. Miltner
Venue: Journal of Cognitive Neuroscience (2009)

Recent research has focused on decision-making under risk and its neural bases. Two kinds of bad decisions under risk may be defined: too risky decisions and too cautious decisions. Here we show that suboptimal decisions of both kinds lead to increased activity in the anterior cingulate cortex in a Blackjack gambling task. Moreover, this increased activity is related to the avoidance of the negatively evaluated decision under risk. These findings complement other results suggesting an important role of the dorsal anterior cingulate cortex in reward-based decision-making and conflict resolution.
A Contribution to Integrated Driver Modeling: A Coherent Framework for Modeling Both Non-routine and Routine Elements of the Driving Task
Authors: Andreas Mihalyi, Barbara Deml, Thomas Augustin
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

This paper is concerned with computational driver modeling, whereby a particular focus is placed on mapping both non-routine and routine elements of the driving task in a theoretically coherent framework. The approach is based on Salvucci's [1] driver model and thus, the cognitive architecture ACT-R [2] is used for modeling non-routine matters; for routine activities, such as the longitudinal and the lateral control of the vehicle, a fuzzy logic approach is suggested. In order to demonstrate the applicability of this procedure, an empirical evaluation study is carried out and the steering behavior of a computational driver model is compared to that of human drivers.
Statistical ranking in tactical generation
Authors: Erik Velldal, Stephan Oepen
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

In this paper we describe and evaluate several statistical models for the task of realization ranking, i.e. the problem of discriminating between competing surface realizations generated for a given input semantics. Three models (and several variants) are trained and tested: an n-gram language model, a discriminative maximum entropy model using structural information (and incorporating the language model as a separate feature), and finally an SVM ranker trained on the same feature set. The resulting hybrid tactical generator is part of a larger, semantic transfer MT system.
Using coverage to automate and improve test purpose based testing
Authors: Martin Weiglhofer, Gordon Fraser, Franz Wotawa
Venue: Information and Software Technology (2009)

Test purposes have been presented as a solution to avoid the state space explosion when selecting test cases from formal models. Although such techniques work very well with regard to the speed of the test derivation, they leave the tester with one important task that influences the quality of the overall testing process: test purposes have to be formulated manually. In this paper, we present an approach that assists a test engineer with test purpose design in two ways: it allows automatic generation of coverage based test suites and can be used to automatically exercise those aspects of the system that are missed by hand-crafted test purposes. We consider coverage of Lotos specifications, and show how labeled transition systems derived from such specifications have to be extended in order to allow the application of logical coverage criteria to Lotos specifications. We then show how existing tools can be used to efficiently derive test cases and suggest how to use the coverage information to minimize test suites while generating them.
Confidence bands for the CDF when sampling from a finite population
Authors: Jesse Frey
Venue: Computational Statistics Data Analysis (2009)

We develop two methods for obtaining a confidence band for the cumulative distribution function (CDF) based on a simple random sample from a finite population of known size. The methods are exact when the population contains no repeated values, and conservative otherwise. The first method consists of using a Kolmogorov-Smirnov-type band, and the second method consists of combining together separate, equal-coverage-probability confidence intervals for each ordered population value. Confidence bands obtained using either method yield simultaneous confidence intervals for all ordered population values. Coverage probabilities are computed using a new recursive algorithm.
Software Engineering, Testing, and Quality Assurance for Natural Language Processing
Venue: ACL Workshops (2008)

Software engineering in general is a first-class research object in computer science, but generally has not been treated as such within the natural language processing community. This is despite the fact that natural language as an input type has unique characteristics that present special problems for software testing, quality assurance, and even requirements specification. The goals of this workshop included raising awareness of the need for good software engineering practices in NLP, stimulating research on same, and disseminating the results of current work in this area.