ppxscal/embedding_network huggingface dataset:
Agents and Semantic Services: A Critical Review
Authors: Katia P. Sycara
Venue: Proceedings of the 12th international workshop on Cooperative Information Agents XII (2008)

Web Services have been hailed as the latest silver bullet for enabling business process representation and integration. In recent years, industry has developed a variety of standards, e.g. SOAP, WSDL, UDDI, BPEL for web services discovery, description, and distributed execution over the Web. These industry standards have emphasized description of service interfaces. However, they have many limitations with respect to flexible interaction and interoperability among heterogeneous services. For example, WSDL does not give any indication on the order of message exchange between a service and its client.On the other hand, Multi-Agents Systems research over the years has developed techniques for autonomous and goal-directed agent interactions, agent communication languages that support extended conversations, flexible automated agent discovery in open environments, agent negotiation and methods for peer to peer reactive and proactive agent behaviors in dynamic environments.In this talk, I will present requirements and extensions on web services functionality for supporting business processes. Some of these extensions include peer to peer and multi-party interactions, dynamic on the fly-composition of web services, message patterns that go beyond request-response, contracts and service level agreements. In addition, I will present characteristics of agents and web services that encourage fruitful application of techniques from agents to services and vice versa. In particular, I will articulate the importance of formally specified, unambiguous semantics for increasing service interoperability and flexibility of interactions, thus bringing the services and agents paradigms and technologies closer to one another. A first step towards this rapprochement is the development of formal languages and inference mechanisms for representing and reasoning with core concepts of Web Services.In closing, I present my vision of Web services as autonomous goal-directed agents which select other agents to interact with, and flexibly negotiate their interaction model, acting in peer to peer fashion. The resulting Web services, that I call Autonomous Semantic Web services, utilize ontologies and semantically annotated Web pages to automate the fulfillment of tasks and transactions with other Web agents. In cross-fertilizing each other, both agent technology and web services technology can discover new synergies that will make the combination and subsequent adoption much stronger, vital and useful than either of the two technologies separately.
Improving evolutionary exploration to area-time optimization of FPGA designs
Authors: Christian Pilato, Antonino Tumeo, Gianluca Palermo, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto
Venue: Journal of Systems Architecture: the EUROMICRO Journal (2008)

This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on reprogrammable devices. It starts from a behavioral description written in a common high-level language (for instance C) to automatically produce the register-transfer level (RTL) design in a hardware description language (e.g. Verilog). Since all high-level synthesis problems (scheduling, resource allocation and binding) are notoriously NP-complete and interdependent, these problems should be considered simultaneously. This drives to a wide design space, that needs to be thoroughly explored to obtain solutions able to satisfy the design constraints (e.g. area and performance). Since evolutionary algorithms are good candidates to tackle such complex explorations, in this paper we provide a solution based on the non-dominated sorting genetic algorithm (NSGA-II) to explore the design space and obtain the best solutions in terms of performance given the area constraints of a target reprogrammable device, for instance a Field Programmable Gate Array (FPGA). To further reduce the time needed for the exploration, that theoretically requires the complete logic synthesis of each visited point, the evaluation of the solutions have been speed-up by using two techniques: a good cost estimation model and a technique to exploit fitness inheritance by substituting the expensive actual evaluations with estimations based on closeness in an hypothetical design space. We show on the JPEG case study that the proposed approach provides good results in terms of trade-off between total area occupied and execution time. The results shows also that the Pareto-optimal set obtained by applying the proposed fitness inheritance model well approximates the set obtained without the proposed technique and reduces the overall execution time up to the 25% in average.
An Intelligent Hybrid Approach for Designing Increasing Translation Invariant Morphological Operators for Time Series Forecasting
Authors: Ricardo A. Araújo, Robson P. Sousa, Tiago A. Ferreira
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

In this paper, an intelligent hybrid approach is presented for designing increasing translation invariant morphological operators for time series forecasting. It consists of an intelligent hybrid model composed of a Modular Morphological Neural Network (MMNN) and an improved Genetic Algorithm (GA) with optimal genetic operators to accelerate its search convergence. The improved GA searches for the minimum number of time lags for a correct time series representation, as well as by the initial weights, architecture and number of modules of the MMNN; then each element of the improved GA population is trained via Back Propagation (BP) algorithm to further improve the parameters supplied by the improved GA. An experimental analysis is conducted with the proposed method using two real world time series and five well-known performance measurements, demonstrating good performance of this kind of morphological system for time series forecasting.
Knowledge Practices Environment: Design and Application of Technology for Trialogical Learning
Authors: Patrick Sins, Merja Bauters, Crina Damşa
Venue: Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts (2008)

Current networked society present learners with challenges that cannot be sufficiently coped with in educational contexts that are characterized by transmission or participation epistemologies on learning. To address these challenges, the trialogical approach to learning is introduced which focuses on the ways in which people and their communities create knowledge through the tool-mediated development of shared objects. Supporting sustained collaborative knowledge creation requires learning technology that is modular and extensible rather than monolithic and fixed in nature which characterizes most existent learning technologies. The current paper presents the design considerations and the application of the KP-environment which aims to support these object-oriented practices.
Implementing digital folklore collections
Authors: Irene Lourdi, Mara Nikolaidou, Christos Papatheodorou
Venue: Journal of Computational Methods in Sciences and Engineering (2006)

In this paper, a metadata model is analyzed to describe the digitized digital folklore collection of the Department of Greek Studies in the University of Athens. Folklore collection consists of different kinds of digitized material and requires a specialized data schema to describe its peculiarities. The collection big size and material variety results in representing the collection as a hierarchical structure, according to the type of objects, the corresponding chronological period and geographic region. The main goal is to preserve and popularize to all kinds of users the precious information regarding cultural collection data. For this purpose a metadata model is developed that enables efficient navigation to the notebooks sub-collection, as well as meaningful information retrieval to the collection objects.
Performance Evaluation of Load-Balancing Multi-path Routing Protocol for Mobile Ad-Hoc Networks
Authors: Zomahoun Jean-Eudes, Akio Koyama, Tomoyuki Tanno, Junpei Arai, Leonard Barolli
Venue: Proceedings of the 2nd international conference on Network-Based Information Systems (2008)

An ad hoc network is composed by autonomous, potentially mobile, wireless nodes that operate without the benefit of any existing infrastructure. Each node is can move arbitrary and carries out self-administration and self-organization. For this reason, there are cases in which non-planned route's construction may lead to a decline of the network performance. In this paper, we present a new routing protocol that uses the load balancing and multi-path solution to send data with a probabilistic dispersion. In this research, the total load on a route is evaluated based on the relay node's queue size. Simulation experiments have been made to compare some of the existing protocols with the proposed routing protocol. We have shown by simulations results that our proposed solution efficiently disperses the load and improves the network performance.
The Flow Induced by a Jellyfish
Authors: S. Ichikawa, O. Mochizuki
Venue: Journal of Visualization (2008)

The purpose of this study is to understand the propulsion mechanism of a jellyfish during its swimming. We observed the motion of a jellyfish (Aurelia aurita) by a motion-capture camera, and measured the vector field of flow around a jellyfish by using a PIV (Particle Image Velocimetry) measurement. A jellyfish is considered to be principally propelled by a jet at the contracting phase of its motion. If that is true, it is interesting that a jellyfish never stops traveling even at the expanding phase. We found that a vortex ring with the opposite vorticity to shed vortex ring was inside a jellyfish body in the expanding phase. We discussed a cause of an increase in thrust force and keeping constant speed in the expanding phase.
FuzzyXPath: Using Fuzzy Logic an IR Features to Approximately Query XML Documents
Authors: Ernesto Damiani, Stefania Marrara, Gabriella Pasi
Venue: Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing (2007)

XML has become a key technology for interoperability, providing a common data model to applications. However, diverse data modeling choices may lead to heterogeneous XML structure and content. In this paper, information retrieval and database-related techniques have been jointly applied to effectively tolerate XML data diversity in the evaluation of flexible queries. Approximate structure and content matching is supported via a straightforward extension to standard XPath syntax. Also, we outline a query execution technique representing a first step toward efficiently addressing structural pattern queries together with predicate support over XML elements content.
A Study on Phonemic Analysis for the Recognition of Korean Speech
Authors: Jeong Young Song, Min Wook Kil, Il Seok Ko
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

This paper is a study related to phonemic analysis of Korean speech. For speech recognition, the best method is that speech should be recognized as phonemic unit. However, to segment speech into phonemic units is not well-applied because of various changes of phonation. Therefore, I in this study try to arrange a phonemic system of Korean speech and segment speech into phonemic units on the base of the phonemic system of Hunminjeongeum, the Korean script. I also look for the features of each phoneme by observing the changes of frequency domain, mel bandwidth and mel capstrum of phoneme and aim to form the phonemic segmentation system of Korean speech.
Ontological Profiles as Semantic Domain Representations
Authors: Geir Solskinnsbakk, Jon Atle Gulla
Venue: Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems (2008)

Ontologies are conceptualizations of some domain, defining its concepts and their relationships. An interesting question is how do we relate the ontological concepts to the general vocabulary of the domain? In this paper we present the concept of ontological profiles, what they are, how they are constructed, and how they may be used. We propose that the ontological profile is a link between the vocabulary of the domain and its conceptual specification given by the ontology. This means that the ontological profile can be tailored to a specific document collection, reflecting the vocabulary actually used. Finally we demonstrate how the ontological profile may be utilized for ontology-driven search.
SWIFFT: A Modest Proposal for FFT Hashing
Authors: Vadim Lyubashevsky, Daniele Micciancio, Chris Peikert, Alon Rosen
Venue: Fast Software Encryption: 15th International Workshop, FSE 2008, Lausanne, Switzerland, February 10-13, 2008, Revised Selected Papers (2008)

We propose SWIFFT, a collection of compression functions that are highly parallelizable and admit very efficient implementations on modern microprocessors. The main technique underlying our functions is a novel use of the Fast Fourier Transform (FFT) to achieve "diffusion," together with a linear combination to achieve compression and "confusion." We provide a detailed security analysis of concrete instantiations, and give a high-performance software implementation that exploits the inherent parallelism of the FFT algorithm. The throughput of our implementation is competitive with that of SHA-256, with additional parallelism yet to be exploited.Our functions are set apart from prior proposals (having comparable efficiency) by a supporting asymptotic security proof: it can be formally proved that finding a collision in a randomly-chosen function from the family (with noticeable probability) is at least as hard as finding short vectors in cyclic/ideal lattices in the worst case.
Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems
Authors: Heather Pon-Barry, Karl Schultz, Elizabeth Owen Bratt, Brady Clark, Stanley Peters
Venue: International Journal of Artificial Intelligence in Education (2006)

In designing and building tutorial dialogue systems it is important not only to understand the tactics employed by human tutors but also to understand how tutors decide when to use various tactics. We argue that these decisions are based not only on student problem-solving steps and the content of student utterances, but also on the meta-communicative information conveyed through spoken utterances (e.g., pauses, disfluencies, intonation). Since this information is often infrequent or unavailable in typed input, tutorial dialogue systems with speech interfaces have the potential to be more effective than those without. This paper gives an overview of the Spoken Conversational Tutor (SCoT) that we have built and describes how we are beginning to make use of spoken language information in SCoT. Specifically, we describe a study aimed at using meta-communicative information to gauge student uncertainty and respond accordingly. In this study, we identify linguistic devices used by human tutors when responding to utterances containing signals of uncertainty, integrate these response strategies into two versions of SCoT, and evaluate their relative effectiveness. Our main hypothesis - that tutors are more effective if they use these linguistic devices in response to student uncertainty - was not confirmed, but our secondary hypothesis - that tutors using these linguistic devices are more effective than tutors that do not use them - was supported by the results.
A Novel Spike Sorting Method Based on Semi-supervised Learning
Authors: Guo-Zhu Wen, De-Shuang Huang
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence (2008)

Spike sorting is a prerequisite technique for neural coding and decoding research. So far many manual and automatic spike sorting approaches have been proposed, however this issue is still a challenge due to high time consumption of human or unreliability of machine. In this study, a semi-supervised spike sorting framework was proposed, in which three clustering or learning components, i.e. self-organizing map (SOM), manifold learning and affinity propagation clustering (APC) work cooperatively. The SOM serves as the technique for data reduction, as well as the visualization of cluster structure, which enabled the operator's "supervised" intervention. The manifold learning technique describes the intrinsic structure underlain by SOM grid, and yields the similarity matrix as output. The affinity propagation clustering takes as input the yielded similarity matrix, followed by the human's guidance, and outputs the reasonable clustering result. The advantage of our framework is the efficient combination of traditional and novel approaches, wherein the semi-supervised intervention is embedded appropriately to guide the clustering process. The practical experiments' results show that the proposed approach performed very well.
Introduction to the Special Thematic Session: Human---Computer Interaction and Usability for Elderly (HCI4AGING)
Authors: Andreas Holzinger, Kizito Ssamula Mukasa, Alexander K. Nischelwitzer
Venue: Proceedings of the 11th international conference on Computers Helping People with Special Needs (2008)

Industrialized countries are faced with severe demographical and social changes. Consequently, areas including Ambient Assisted Living are of increasing importance. The vision is to provide technologies for supporting (elderly) people in their daily lives, allowing them to stay longer within their own home aiming at living independent and self-determined. User Interfaces in such systems are mostly multimodal, because standard interfaces have limited accessibility. Multimodal user interfaces combine various input and output modalities (including seeing/vision, hearing/audition, haptic/tactile, taste/gustation, smell/olfaction etc) which are classical research areas in Human-Computer Interaction (HCI) and Usability Engineering (UE). One of the advantages of multiple modalities is increased usability: the weaknesses of one modality are offset by the strengths of another. For example, on a mobile device with a small visual interface and keypad, a word may be quite difficult to read/type, however very easy to say/listen. Such interfaces, in combination with mobile technologies, can have tremendous implications for accessibility and can be a benefit for people. An important issue is that interfaces must be accessible, useful and usable. Traditionally, HCI bridges Psychology/Pedagogy and Informatics, while UE is anchored in software technology. Together, HCI UE provide the emerging potential to assist the daily workflows in the realm of AAL. This special thematic session is devoted to promote a closer collaboration between Psychologists, Pedagogues and Computer Scientists.
Shape analysis via unified segmentation, smoothing, and registration of riemannian structures
Authors: Baba C. Vemuri, Jeffrey Ho
Venue:  (2007)

Locality is an important but oft-ignored aspect of shape asymmetry quantification, and segmentation is one method by which to make the locality of an analysis explicit. We have thus formulated an approach to surface registration and shape comparison which features an integrated segmentation component for the purpose of simultaneously identifying and separating regions by their evolving deformation characteristics. In the first instantiation, we achieve this effect through an adaptation of the Chan-Vese approach for image segmentation to the problem of segmenting the Riemannian structures of the very surfaces comprising the domain of the segmentation. We have successfully used the method's output on hippocampal pairs in an epilepsy classification problem, demonstrating improvement over global measures. Noting that a Chan-Vese-based approach to simultaneous segmentation and registration is inherently limited, we have also developed a unified approach to segmentation, smoothing, and nonrigid registration of images via extension of the Mumford-Shah functional, devised in such a way as to be applicable symmetrically and consistently to multiple (two or more) inputs. To conclude, we propose an extension of this unified framework (dubbed "USSR") to the previously considered problem of 2D surface shape analysis (asymmetry quantification and localization), conferring the benefits of unbiasedness, consistency, multiple input processing, and nontrivial data field reconstruction.
Classification of Mass Spectrometry Based Protein Markers by Kriging Error Matching
Authors: Tuan D. Pham, Honghui Wang, Xiaobo Zhou, Dominik Beck, Miriam Brandl, Gerard Hoehn, Joseph Azok, Marie-Luise Brennan, Stanley L. Hazen, Stephen T. Wong
Venue: Proceedings of the 3rd international conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (2008)

Discovery of biomarkers using serum proteomic patterns is currently one of the most attractive interdisciplinary research areas in computational life science. This new proteomic approach has the clinical significance in being able to detect disease in its early stages and to develop new drugs for disease treatment and prevention. This paper introduces a novel pattern classification strategy for identifying protein biomarkers using mass spectrometry data of blood samples collected from patients in emergency department monitored for major adverse cardiac events within six months. We applied the theory of geostatistics and a kriging error matching scheme for identifying protein biomarkers that are able to provide an average classification rate superior to other current methods. The proposed strategy is very promising as a general computational bioinformatic model for proteomic-pattern based biomarker discovery.
Rendering Technique for Colored Paper Mosaic
Authors: Youngsup Park, Sanghyun Seo, Yongjae Gi, Hanna Song, Kyunghyun Yoon
Venue: Proceedings of the 7th international conference on Computational Science, Part II (2007)

The work presented in this paper shows the way to generate colored paper mosaics using computer graphics techniques. Following two tasks need to be done to generate colored paper mosaic. The first one is to generate colored paper tile and the other one is to arrange the tile. Voronoi Diagram and Random Point Displacement have been used in this paper to come up with the shape of the tile. And, energy value that the tile has depending on its location is the factor to determine the best positioning of the tile. This paper focuses on representing the overlap among tiles, maintenance of the edge of input image, and various shapes of tiles in the final output image by solving two tasks mentioned above.
Synthesis algorithm of the optimal control law for flying objects' longitudinal move
Authors: Lungu Mihai, Lungu Romulus, Jula Nicolae, Cepisca Costin, Calbureanu Madalina
Venue: Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information (2008)

The paper presents a new algorithm for optimal control law's synthesis in rapport with state vector of the aircraft's longitudinal move. Starting from state equation of the movement, the system is brought to Jordan canonic form and Riccati algebraic matriceal equation (whose solution is the gain matrix of the control law) is brought to an equivalent form with transformation relation. The new gain matrix is partitioned conform to equations (7) ÷ (12). Using ALGLX algorithm, one studies elastic no deformed (no dimensional description) longitudinal move of an aircraft and dimensional elastic deformed move. One obtained Matlab/Simulink model and numerical program and with them time characteristics expressing state variables' dynamic are obtained.