ppxscal/embedding_network huggingface dataset:
Proactive Ergonomics in Refrigerator Concept Development
Authors: Maximiliano Romero, Fiammetta Costa, Giuseppe Andreoni, Marco Mazzola, Juan Vargas, Luigi Conenna
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

Proactive Ergonomics means to pre-test the human factors features of a product in an early step of development (design or prototyping), modifying it, re-performing the test and so on. The goal is to apply an iterative process to reach a final definitive solution. This work presents a case study on refrigerator concepts development based on a Design for All approach. The first design concept was created through a participatory workshop supported by reference literature data about arthropometrical and functional parameters and by results from ethnographic observation. This also led to the design of a dedicated experimental protocol for evaluating the physical ergonomics characteristics of products and mock up through a comparative analysis. Using a bestseller's refrigerator as reference, we evaluated comparatively, our new concepts. The results were very significant and demonstrated a consistent improvement of the ergonomic quality of the concepts with respect to the standard product. The quantitative ergonomic evaluation has been validated by subjective methods.
Reasoning about the appropriateness of proponents for arguments
Authors: Anthony Hunter
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

Formal approaches to modelling argumentation provide ways to present arguments and counterarguments, and to evaluate which arguments are, in a formal sense, warranted. While these proposals allow for evaluating object-level arguments and counterarguments, they do not give sufficient consideration to evaluating the proponents of the arguments. Yet in everyday life we consider both the contents of an argument and its proponent. So if we do not trust a proponent, we may choose to not trust their arguments. Or if we are faced with an argument that we do not have the expertise to assess (for example when deciding whether to agree to having a particular surgical operation), we tend to agree to an argument by someone who is an expert. In general, we see that for each argument, we need to determine the appropriateness of the proponent for it. So for an argument about our health, our doctor is normally an appropriate proponent, but for an argument about our investments, our doctor is normally not an appropriate proponent. In this way, a celebrity is rarely an appropriate proponent for an argument, and a liar is not necessarily an inappropriate proponent for an argument. In this paper, we provide a logic-based framework for evaluating arguments in terms of the appropriateness of the proponents.
Inconsistent heuristics
Authors: Uzi Zahavi, Ariel Felner, Jonathan Schaeffer, Nathan Sturtevant
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

In the field of heuristic search it is well-known that improving the quality of an admissible heuristic can significantly decrease the search effort required to find an optimal solution. Existing literature often assumes that admissible heuristics are consistent, implying that consistency is a desirable attribute. To the contrary, this paper shows that an inconsistent heuristic can be preferable to a consistent heuristic. Theoretical and empirical results show that, in many cases, inconsistency can be used to achieve large performance improvements.
Modular Nonmonotonic Logic Programming Revisited
Authors: Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas Krennwallner
Venue: Proceedings of the 25th International Conference on Logic Programming (2009)

Recently, enabling modularity aspects in Answer Set Programming (ASP) has gained increasing interest to ease the composition of program parts to an overall program. In this paper, we focus on modular nonmonotonic logic programs (MLP) under the answer set semantics, whose modules may have contextually dependent input provided by other modules. Moreover, (mutually) recursive module calls are allowed. We define a model-theoretic semantics for this extended setting, show that many desired properties of ordinary logic programming generalize to our modular ASP, and determine the computational complexity of the new formalism. We investigate the relationship of modular programs to disjunctive logic programs with well-defined input/output interface (DLP-functions) and show that they can be embedded into MLPs.
Heavily Reducing WSNs' Energy Consumption by Employing Hardware-Based Compression
Authors: Grigorios Chrysos, Ioannis Papaefstathiou
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

Power consumption is a crucial issue for Wireless Sensor Networks (WSNs). The overall energy in the WSN nodes is consumed in three distinct processes: data processing, sensing the surroundings and data transmission. If data compression is applied, the energy consumed for data processing is increased whereas the transmission power consumption is reduced. In this paper we present, for the first time, that one way of significantly reducing the overall energy consumption of a WSN framework is to off-load the compression task to small, very low-cost reconfigurable hardware devices which are connected to the main processor of the WSN nodes. Based on our real-world experiments, this innovative approach can reduce the overall energy consumed by a state-of-the-art WSN by at least 46% and up to 56%!
An evaluation of a lexicographer's workbench: building lexicons for machine translation
Authors: Rob Koeling, Adam Kilgarriff, David Tugwell, Roger Evans
Venue: Proceedings of the 7th International EAMT workshop on MT and other Language Technology Tools, Improving MT through other Language Technology Tools: Resources and Tools for Building MT (2003)

NLP system developers and corpus lexicographers would both benefit from a tool for finding and organizing the distinctive patterns of use of words in texts. Such a tool would be an asset for both language research and lexicon development, particularly for lexicons for Machine Translation (MT). We have developed the WASPBENCH, a tool that (1) presents a "word sketch", a summary of the corpus evidence for a word, to the lexicographer; (2) supports the lexicographer in analysing the word into its distinct meanings and (3) uses the lexicographer's analysis as the input to a state-of-the-art word sense disambiguation algorithm, the output of which is a "word expert" for the word which can then disambiguate new instances of the word. In this paper we describe a set of evaluation experiments, designed to establish whether waspbench can be used to save time and improve performance in the development of a lexicon for Machine Translation or other NLP application.
Elimination of Accumulated Error of 3D Target Location Based on Dual-View Reconstruction
Authors: GuiHua Liu, WenBin Wang, JianYin Yuan, XianYong Liu, QuanYuan Feng
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

3D target location from long image sequence with a single hand-held camera based on dual-view reconstruction is an important method in practice, but accumulated error is unvoidable and can not be ignored in the process of seveal dual-view reconstruction especially the length of squences is long. The paper studied the principle of dual-view reconstruction oflong image sequences and the cause of accumulated error. An improved method of 3D target location using truncated squcences to eliminate accumulated error is put forward. An four-element method of rigid body transformation is also presented in this method to solve absolute orientation. Simulated experiments as well as real image tests show that the new method gives an accurate and robust result even in the high-level noise situation. It can be applied to measuring large object, key points registration interference checking in some assembly scenarios and CAD model, etc.
Access Tool? Accelerating Treadmill? Technology and the Aging Population
Authors: Clayton Lewis, Lise Menn
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Smart homes, smart cars, and electronic interactions with family, merchants, and service providers promise to make the lives of the elderly and people with disablities much easier. Paradoxically, the constantly accelerating pace of technological change will eventually make the machines we live with inaccessible to everyone who has a normal life span. Thought, planning, policy formulation, and action will be required to insure that everyday technology maintains interfaces that will be accessible to aging users, who are among the people who need it most. The User Access community is uniquely qualified to formulate and pioneer accessible design principles, and to bring these principles and policies to the attention of the public, relevant non-government organizations like the AARP, and public officials.
Building Dependable EEG Classifiers for the Real World --- It's Not Just about the Hardware
Authors: Gene Davis, Djordje Popovic, Robin R. Johnson, Chris Berka, Mirko Mitrovic
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

One of the major deficiencies with the EEG-based classifiers used in today's laboratory settings is that they are often ill suited for the real world. In many cases the classifiers that were painstakingly developed in the controlled laboratory environment become unreliable with increased mobility of the user. In addition to increased mobility, many real world scenarios impose constraints on data collection that cannot be accommodated by the lab-created classifier. Addressing these issues throughout the development process of EEG-based classifiers by building hardware, software, and algorithms intended for use in the real world should result in more dependable classifiers. With this approach we were able to collect and classify data on a research vessel at sea, in the desert by night, on dismounted soldiers in the training field, and everywhere between.
Policy Evolution in Distributed Usage Control
Authors: A. Pretschner, F. Schütz, C. Schaefer, T. Walter
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Usage control is a generalization of access control that also addresses how data is handled after it is released. Controlling the future usage of data includes controlling the future distribution of data. The evolution of policies upon re-distribution must hence be defined. Intuitively, clients should only strengthen policies associated with a data item when they re-distribute it. We provide a role-based re-distribution model for usage control that encompasses strengthening both rights and duties. By introducing orderings for events and parameter values we show how both rights and duties can be strengthened with the traditional abstraction of trace inclusion.
Why or Why Not Service Oriented Architecture
Authors: Ying-Hong Wang, Jingo Chenghorng Liao
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Service Oriented Architecture (SOA) is a new computation technology in these years. Though this architecture, business application can be wrapped as loosely-coupled component. Base on business needs, connecting different component into necessary services of real process, enterprise can utilize existing applications repeatedly, then integrate the independent applications into new services. This paper focused on the issues on which enterprise needs to consider before implementation of SOA. We have a further discussion on advantages and disadvantages for adopting SOA. Once SOA is implemented what we need to care about? It is helpful on your long term success if you can thoroughly understand the key points of this paper, then the enterprise can well evaluate if its information system needs to adopt SOA.
An Algorithm for Building Lexical Semantic Network and Its Application to PolNet - Polish WordNet Project
Authors: Zygmunt Vetulani, Justyna Walkowska, Tomasz Obrębski, Jacek Marciniak, Paweł Konieczka, Przemysław Rzepecki
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

This paper presents the PolNet - Polish WordNet project which aims at a linguistically oriented ontology for Polish compatible with Princeton WordNet. We present the headlines of its methodology as well as its implementation using the DEBVisDic tool for WordNet building. We present the results obtained so far and discuss a number of related problems.
Prediction of the Position of Pedestrian Crossing Road Section Based on Kalman Predictor
Authors: Guo-sheng Ma, Jiao Yao, Xiao-guang Yang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

In order to effectively guarantee the pedestrian safety, coordinate relations between the image pixels and actual position of road is founded based on zebra crossing feature. A method which detects pedestrian and predicts the position of pedestrian in real-time for use is presented based on Kalman predictor. By this method, pedestrian-vehicle collision point can be prejudged and pedestrian information is provided for driver. Finally detecting and predicting method experiments were performed and the method has been proved to be correct.
Confidence estimation for information extraction
Authors: Aron Culotta, Andrew McCallum
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

Information extraction techniques automatically create structured databases from unstructured data sources, such as the Web or newswire documents. Despite the successes of these systems, accuracy will always be imperfect. For many reasons, it is highly desirable to accurately estimate the confidence the system has in the correctness of each extracted field. The information extraction system we evaluate is based on a linear-chain conditional random field (CRF), a probabilistic model which has performed well on information extraction tasks because of its ability to capture arbitrary, overlapping features of the input in a Markov model. We implement several techniques to estimate the confidence of both extracted fields and entire multi-field records, obtaining an average precision of 98% for retrieving correct fields and 87% for multi-field records.
Demarcating User eXperience
Authors: Virpi Roto
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

This panel discusses the scoping of user experience as a research field. User experience is a crossing point of several disciplines, each of which tends to define user experience from their own perspective. The distinguished panelists from academia and industry represent the different perspectives to user experience: Traditional human-computer interaction, Psychology, Cognitive psychology, and Design. The goal of the panel is to get one step closer to a shared understanding of the concept of user experience. 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
"What Was He Thinking?": Using EEG Data to Facilitate the Interpretation of Performance Patterns
Authors: Gwendolyn E. Campbell, Christine L. Belz, Phan Luu
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

Previous research has demonstrated that EEG data can be used to identify and remove unintentional responses from a data set (guesses and slips). This study sought to determine if removing this error variance has a significant impact on the interpretation of a trainee's performance. Participants were taught to recognize tank silhouettes. Multiple linear regression models were built for each participant based on three sets of their data: 1) all trials of their performance data, 2) only trials that were learned according to a state space analysis, and 3) their intentional data as identified by EEG. When compared to an expert model, each of the three models for every participant yielded a different diagnosis, indicating that filtering performance data with EEG data changes the interpretation of a participant's competence.
Visual Simulation of the Temperature Field in the Ceramic Roller Kiln
Authors: Zhihua Wei, Paipai Chang, Wenbi Rao, Zhen Li
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

This paper has presented a numerical simulation method of the temperature field in the ceramic roller kiln. The method was that the model of firing zone with single-kiln was created by fluid dynamics software in which the standard k-ε turbulence model, DO radiation model and PDF combustion model were adopted. The model considered the size and structure of the kiln, the inlet and outlet status as the condition for simulation, and then the movement of the temperature field in kiln was showed clearly by the simulation data obtained. The results showed that such numerical simulation technology could save lots of costs, overcome the limitations of the actual measurement, and provide the guidance for the structure design of the ceramic roller kiln and the production of ceramics.
COBIT User Guide for Service Managers
Venue:  (2009)

Aimed at providing specific guidance on how to use COBIT when performing a particular role, this guide focuses on service managers, providing them a better understanding of the need for IT governance and how to apply good practices in their specific roles and responsibilities. It facilitates easier use and adoption of COBIT and ITIL concepts and approaches, and encourages integration of COBIT with ITIL.Included are explanations on how to get started and combine COBIT and ITIL for successful service management. Core guidance is provided in the form of a table showing: The key activities of a service manager organized by ITIL V3 processes The corresponding COBIT 4.1 control objectives The corresponding ISO/IEC 20000 references Roles and responsibilities for a generic range of role players in the various processesCOBIT User Guide for Service Managers is applicable to any service provider, whether acting as an internal IT function or as a commercial vendor. The guidance is based on good practice and the practical experiences of industry experts. The structure has been based on COBIT s key components of key controls, goals and metrics, roles and responsibility (RACI) charts, and maturity models. 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
Latency-Bounded Minimum Influential Node Selection in Social Networks
Authors: Feng Zou, Zhao Zhang, Weili Wu
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

As one of the essential problems in information diffusion process, how to select a set of influential nodes as the starting nodes has been studied by lots of researchers. All the existing solutions focus on how to maximize the influence of the initially selected "influential nodes", paying no attention on how the influential nodes selection could maximize the speed of the diffusion. In this paper, we consider the problem of influential nodes selection regarding to the propagation speed in social network information diffusion. We define a discrete optimization problem, called Fast Information Propagation Problem. We show that this problem is NP-hard problem when the time requirement for information propagation is exactly 1-hop. We also propose a Latency-bounded Minimum Influential Node Selection Algorithm to solve the problem in this case.
Design and Implementation of an Automated Microscope Stage
Authors: Xu Ma, Gang An, Bin Li
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Optical microscopes remain keen instruments for scientific research nowadays. Widely used in hospitals and laboratories, such equipment helps people deal with various kinds of tasks, most of which, however, are both onerous and tedious; therefore, operations on these manually executed instruments are lengthily and subject to human errors. To alleviate this problem, we equip an optical microscope with two stepper motors and implement the automatic control of the microscope stage. This paper introduces the control system architecture and discusses in detail the development of the communication subsystem and the stepper motor controllers. Test results with a practical application are also provided to illustrate the performance of this system.
Preparation of Monoclonal Antibody against Okadaic Acid and Development of a Sensitive ELISA for Detection Diarrhetic Shellfish Poisoning in Shellfish
Authors: Liu Renyan, Xu Daoyan, Liang Yubo
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

A rapid method for detection diarrhetic shellfish poisoning (DSP), a marine biotoxin, were developed. Monoclonal antibody against OA (okadaic acid) was prepared by using the technique of cell fusion. This antibody was applied in development the idc-ELISA (indirect competitive enzyme-linked immunosorbent assay) for detection of OA. Using OA-KLH as the immunogen to immunize BALB/c mice, splenocytes from the immunized mice were fused with murine myeloma cells. Three positive hybridoma cells strains that could secrete steadily anti-OA monoclonal antibody were obtained after three times of cloning. The idc-ELISA method with detection limit of 0.781ng/ml was developed using 1# monoclonal antibody showing highest specificity against OA. Okadaic acid added was detected with average recoveries of 92.5% for scallop.
MARE: An Efficient Reservation-Based MAC Protocol for IEEE 802.11s Mesh Networks
Authors: Jose R. Gallardo, Dimitrios Makrakis, Hussein T. Mouftah
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

Mesh networks are gaining momentum. That is why the IEEE is working to develop a standard for this new technology. The IEEE 802.11s draft standard specifies a mandatory MAC protocol (EDCA) and an optional one, called MDA. In this paper we describe potential limitations of MDA and propose an alternative MAC protocol, also based on reservations, called MARE (Medium Access through Reservation). We compare MDA and MARE qualitatively in terms of their effectiveness to provide collision-free transmissions to those nodes that successfully reserve the medium. We also compare both protocols in terms of overhead. In both types of comparisons we observe a clear advantage of MARE.