ppxscal/embedding_network huggingface dataset:
A New Approach to Design an Interactive System for Molecular Analysis
Authors: Mouna Essabbah, Samir Otmane, Joan Hérisson, Malik Mallem
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

The rapid evolution of molecule's imaging and observation's techniques has caused a growing interest in studying molecular structures. Naturally, scientists have turned to simulation and 3D modeling in order to better understand biological phenomena. Thus, several 3D modeling systems have emerged. Some of these systems are dedicated to 3D visualization, and others are interested in 3D handling. However, we observed that these systems use classical 3D interaction techniques, frequently used in virtual reality (VR). On the other hand, the biological environment is very complex and binding as well. Thus, to remain faithful to the constraintes of the environment and be closer to natural behavior of molecules, we have tried to propose a 3D manipulation adapted to the domain, a bio-supervised 3D manipulation.
Tree Covering within a Graph Kernel Framework for Shape Classification
Authors: François-Xavier Dupé, Luc Brun
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. On the other hand, graph kernels provide a rich framework in which many classification algorithm may be applied on graphs. However, edit distances cannot be readily used within the kernel machine framework as they generally lead to indefinite kernels. In this paper, we propose a graph kernel based on bags of paths and edit operations which remains positive definite according to the bags. The robustness of this kernel is based on a selection of the paths according to their relevance in the graph. Several experiments prove the efficiency of this approach compared to alternative kernel.
An Algorithm to Enhance QoS for Streaming Video over WLANs
Authors: Mahasweta Sarkar, Ramesh Goel
Venue: Proceedings of the Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Science 2008 (2008)

Recent times have seen a tremendous surge of multimedia traffic over the Wireless Local Area Networks or WLANs. However, the bandwidth intensive multimedia traffic takes the most brunt when a WLAN is overloaded. Longer packet delay, jitter and lower throughput deteriorate the video quality significantly at the receiving end, thus diminishing the user experience. In this paper, we implement a new scheme to guarantee Quality of Service (QoS) for resource intensive traffic such as video even in times of resource scarcity in the network. We accomplish this by prioritizing certain (but not all) video packets and ensuring resource allocation to these packets over others. We also ensure that such preferential treatment to one class of traffic do not rob other low priority traffic of their fair share of resources. This scheme is implemented in the interface between the Logical Link Control (LLC) layer and the Media Access Control (MAC) layer of an 802.11 protocol stack. Extensive simulations over the NS-2 platform shows that our scheme leads to significant improvement in video quality at the receiver end while still retaining the QoS requirements for other traffic like audio and ftp, within acceptable bounds.
Metalevel information in ontology-based applications
Authors: Thanh Tran, Peter Haase, Boris Motik, Bernardo Cuenca Grau, Ian Horrocks
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

Applications of Semantic Web technologies often require the management of metalevel information--that is, information that provides additional detail about domain-level information, such as provenance or access rights policies. Existing OWL-based tools provide little or no support for the representation and management of metalevel information. To fill this gap, we propose a framework based on metaviews--ontologies that describe facts in the application domain. We have implemented our framework in the KAON2 reasoner, and have successfully applied it in a nontrivial scenario.
Availability Modeling of Basic Combat Unit during Mission
Authors: Dong Yue, Yu Yongli, Zhang Liu, Lin Hongliang, Yang Yugang, Li Wei
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Basic combat unit (BCU) is the minimal unit that can independently execute military missions. It is usually composed of one set of weapon system, including many weapons and equipment. This paper takes basic combat unit as a whole to study, analyses and defines its state based on its mission reliability function. In addition, a mathematic model of availability is set up through Markov stochastic process. At last, some numerical examples are given to illustrate the practicability of the model in the paper.
The Pervasiveness of Data Mining asnd Machine Learning
Authors: Naren Ramakrishnan
Venue: Computer (2009)

A collection of four articles highlights the ever-growing importance of data mining and machine learning in multiple fields.
A multilingual natural-language interface to regular expressions
Authors: Aarne Ranta
Venue: Proceedings of the International Workshop on Finite State Methods in Natural Language Processing (1998)

This report explains a natural-language interface to the formalism of XFST (Xerox Finite State Tool), which is a rich language used for specifying finite state automata and transducers. By using the interface, it is possible to give input to XFST in English and French, as well as to translate formal XFST code into these languages. It is also possible to edit XFST source files and their natural-language equivalents interactively, in parallel. The interface is based on an abstract syntax of the regular expression language and of a corresponding fragment of natural language. The relations between the different components are defined by compositional interpretation and generation functions, and by corresponding combinatory parsers. This design has been inspired by the logical grammar of Montague. The grammar-driven design makes it easy to extend and to modify the interface, and also to link it with other functionalities such as compiling and semantic reasoning. It is also easy to add new languages to the interface. Both the grammatical theory and the interface facilities based on it have been implemented in the functional programming language Haskell, which supports a declarative and modular style of programming. Some of the modules developed for the interface have other uses as well: there is a type system of regular expressions, preventing some compiler errors, a denotational semantics in terms of lazy lists, and an extension of the XFST script language by definitions of functions.
Early Experiences with Write-Write Design of NFS over RDMA
Authors: Bo Li, Panyong Zhang, Zhigang Huo, Dan Meng
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

The Network File System (NFS) protocol, as the de facto standard for sharing files in a distributed environment, has deployed Infiniband as the underlying transport of sunRPC, namely NFS over RDMA. In the current Read-Write design of NFS over RDMA, NFS write performance is limited for not fully utilizing the features of Infiniband. In this paper, we take on the challenge of enhancing the write performance of NFS. We propose and evaluate a new design of sunRPC over RDMA, namely Write-Write design. To guarantee the security of our design, we propose an HCA-based memory protection extension of Infiniband. Evaluations show that our Write-Write design increases the kernel-to-kernel RPC bandwidth by 15~27%. In real disk test, our Write-Write design gains 15%~22% in multi-client benchmarks compared with the Read-Write design.
Identification of coreference between names and faces
Authors: Koichi Yamada, Kazunari Sugiyama, Yasunori Yonamine, Hiroshi Nakagawa
Venue: Proceedings of the Workshop on Coreference and its Applications (1999)

To retrieve multimedia contents by their meaning, it is necessary to use not only the contents of distinct media, such as image or language, but also a certain semantic relation holding between them. For this purpose, in this paper, we propose a method to find coreferences between human names in the article of newspaper and human faces in the accompanying photograph. The method we proposed is based on the machine learning and the hypothesis driven combining method for identifying names and corresponding faces. Our experimental results show that the recall and precision rate of our method are better than those of the system which uses information exclusively from either text media or image media.
Natural language concept analysis
Authors: Vera Kamphuis, Janos Sarbo
Venue: Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning (1998)

Can we do text analysis without phrase structure? We think the answer could be positive. In this paper we outline the basics of an underlying theory which yields hierarchical structure as the result of more abstract principles relating to the combinatorial properties of linguistic units. We discuss the nature of these properties and illustrate our model with examples.
Outliers in Biometrical Data - Two Real Examples of Analysis
Authors: Anna Bartkowiak
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

The problem of finding and identifying outliers in multivariate measurement data is as old as the data analysis itself. The question: "what is an outlier" has many answers, is is especially difficult when considering high-dimensional data. In the paper a search for outliers in two real data sets is shown. It is stressed that identifying outliers should not be done on the basis of asymptotical cutoffs derived under assumption of normality of the analyzed data.
Noise robust F0 determination and epoch-marking algorithms
Authors: Bojan Kotnik, Harald Höge, Zdravko Kačič
Venue: Signal Processing (2009)

This paper presents a combined pitch frequency (F0) determination and epoch (pitch period) marking procedure CPDMA using merged normalized forward-backward correlation. The algorithm consists of several processing steps: preprocessing of the input speech signal, voicing detection using artificial neural networks, F0 determination stage based on normalized correlation, F0 contour postprocessing applying partial Viterbi traceback, and finally, epoch (or pitch period) marking. To evaluate the proposed CPDMA procedure against any other algorithm, a manually segmented PDA/PMA reference database based on real-life SPEECON Spanish speech database has been created. A set of criteria was proposed to objectively and compactly evaluate the performance of any evaluated PDA/PMA or voicing detection algorithm. The performance of the proposed CPDMA was compared with the performance of well-known and publicly available PRAAT toolkit. The PDA and PMA performances achieved with the proposed CPDMA algorithm significantly outperformed the performance of the PRAAT toolkit in all its three considered configurations: autocorrelation method (PRAAT_AC), cross-correlation method (PRAAT_CC), SHS (PRAAT_SHS), and point process (PRAAT_PP). The superior noise robustness of CPDMA is achieved at the expense of a more complex algorithm and consequently leads to worse real time factor when compared to PRAAT.
A Study on Color Conversion for Color Deficient People to Identify Color
Authors: Makoto Oka, Naoki Ozawa, Hirohiko Mori, Akito Sakurai
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

The sensitivity of the M-cones and L-cones of an anomalous trichromat is lower than that of normal trichromats. By intensifying the light to the cones with lower sensitivity, the output ratio from the cone approached the level of a normal trichromat, and it was presumed that achieving close to original color recognition was a possibility. In order to increase luminous intensity, in the LMS space, the boundary was set as the plane surface representing pseudoisochromatic color, and the distance from that plane was expanded. When making large changes in light intensity near the surface representing pseudoisochromatic color, improvements in color differentiation and degree of color identification were observed. We plan to implement this method in mobile devices and to evaluate the experimentation results.
A web-based version editor for XML documents
Authors: Luis Arévalo Rosado, Antonio Polo Márquez, Miryam Salas Sánchez
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

The goal of this demonstration is to show a web-based editor for versioned XML documents. The user interface is an Ajax-based application characterized by its friendliness, its simplicity and intuitive edition of XML documents as well as their versions, thereby avoiding users the complexity of a versioning system. In order to store the XML documents an XML native database, which has been extended to support versioning features as it is shown in [3], is used.
Considerations on Using Ontologies in Complex Systems
Authors: Victoria Iordan, Alexandru Cicortas
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Many complex systems need in an explicit or in an implicit formthe ontologies. One of the major problems consist in that the needto obtain an ontology from some others using appropriateoperations. In many domains the ontologies are in some wayrelated. The ontology derivation allows obtaining one ontologyfrom another. Paper analyzes some related previous works andsuggests some primary formalism that allows deriving one ontologyfrom other one.
MVGL Analyser for Multi-classifier Based Spam Filtering System
Authors: Md Rafiqul Islam, Wanlei Zhou, Morshed U. Chowdhury
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

In the last decade, the rapid growth of the Internet and email, there has been a dramatic growth in spam. Spam is commonly defined as unsolicited email messages and protecting email from the infiltration of spam is an important research issue. Classifications algorithms have been successfully used to filter spam, but with a certain amount of false positive trade-offs, which is unacceptable to users sometimes. This paper presents an approach to overcome the burden of GL (grey list) analyzer as further refinements to our multi-classifier based classification model (Islam, M. and W. Zhou 2007). In this approach, we introduce a “majority voting grey list (MVGL)” analyzing technique which will analyze the generated GL emails by using the majority voting (MV) algorithm. We have presented two different variations of the MV system, one is simple MV (SMV) and other is the Ranked MV (RMV). Our empirical evidence proofs the improvements of this approach compared to the existing GL analyzer of multi-classifier based spam filtering process.
Critical Interaction Analysis in the Flight Deck
Authors: Chiara Santamaria Maurizio, Patrizia Marti, Simone Pozzi
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

The paper describes an experimental work conducted within the HILAS (Human Integration into the Lifecycle of Aviation Systems- http://www.hilas.info/mambo/) project. The objective of HILAS is to develop a model of good practices for the Human Factors (HF) integration throughout the life-cycle of aviation systems. The project developed a toolkit of HF tools for the evaluation of new technologies for the flight deck. CRIA (Critical Interaction Analysis) is one of the HF tools included in HILAS toolkit. This paper reports the results of a real time simulation, held at NLR in Grace Simulator, where CRIA was applied to assess the HF issues implied in the replacement within the flight deck of the current radio panel with an Interseat Touch Screen (ITS), implemented by GE Aviation.
Job profiling in high performance printing
Authors: Thiago Nunes, Fabio Giannetti, Mariana Kolberg, Rafael Nemetz, Alexis Cabeda, Luiz Gustavo Fernandes
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

Digital presses have consistently improved their speed in the past ten years. Meanwhile, the need for document personalization and customization has increased. As a consequence of these two facts, the traditional RIP (Raster Image Processing) process has became a highly demanding computational step in the print workflow. Print Service Providers (PSP) are now using multiple RIP engines and parallelization strategies to speed up the whole ripping process which is currently based on a per-page base. Nevertheless, these strategies are not optimized in terms of assuring the best Return On Investment (ROI) for the RIP engines. Depending on the input document jobs characteristics, the ripping step may not achieve the print-engine speed creating a unwanted bottleneck. The aim of this paper is to present a way to improve the ROI of PSPs proposing a profiling strategy which enables the optimal usage of RIPs for specific jobs features ensuring that jobs are always consumed at least at engine speed. The profiling strategy is based on a per-page analysis of input PDF jobs identifying their key components. This work introduces a profiler tool to extract information from jobs and some metrics to predict a job ripping cost based on its profile. This information is extremely useful during the job splitting step, since jobs can be split in a clever way. This improves the load balance of the allocated RIPs engines and makes the overall process faster. Finally, experimental results are presented in order to evaluate both, the profiler and the proposed metrics.
Virtual spherical lights for many-light rendering of glossy scenes
Authors: Miloš Hašan, Jaroslav Křivánek, Bruce Walter, Kavita Bala
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

In this paper, we aim to lift the accuracy limitations of many-light algorithms by introducing a new light type, the virtual spherical light (VSL). The illumination contribution of a VSL is computed over a non-zero solid angle, thus eliminating the illumination spikes that virtual point lights used in traditional many-light methods are notorious for. The VSL enables application of many-light approaches in scenes with glossy materials and complex illumination that could previously be rendered only by much slower algorithms. By combining VSLs with the matrix row-column sampling algorithm, we achieve high-quality images in one to four minutes, even in scenes where path tracing or photon mapping take hours to converge.
Reliability Design Model Research of Next-Generation Network Based on Bio-Network
Authors: Zhao-Xia Liang, Yong-Sheng Ding, Jiao Fang, Quan Gu
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

Inspired by the reliability maintenance mechanisms in biology systems, based on bio-network platform, a reliability design model for next-generation network is proposed. In designing the structures of bio-network and bio-entity, the reliability mechanisms are incorporated to gain the reliability maintenance capability when the entities delegate the function entities in the next-generation network. The simulation results show that the model can obtain the evolutionary capability of reliability maintenance in the frequently corrupted environments.
Controlling Access to XML Documents over XML Native and Relational Databases
Authors: Lazaros Koromilas, George Chinis, Irini Fundulaki, Sotiris Ioannidis
Venue: Proceedings of the 6th VLDB Workshop on Secure Data Management (2009)

In this paper we investigate the feasibility and efficiency of mapping XML data and access control policies onto relational and native XML databases for storage and querying. We developed a re-annotation algorithm that computes the XPath query which designates the XML nodes to be re-annotated when an update operation occurs. The algorithm uses XPath static analysis and our experimental results show that our re-annotation solution is on the average 7 times faster than annotating the entire document.
Research on Situation Dependent Services Using Model-Based Programming
Authors: Wei Zeng
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

In the paper a mobile services-related concept, situation dependent mobile services (SDS), is focused on. After introducing SDS and related researches, a SDS platform based on situation calculus and high level logic language Golog is proposed, which allows various mobile services to be easily embedded in. Model based programs that capture procedural knowledge of SDS are realized by exploiting logic programming language Golog. The advantage of seamless integration of programming and planning is taken to generate personalized situation dependent services. An illustration of SDS prototype system is given in the paper. Finally, several research directions are proposed.
Simulating Human Reasoning in Mine-Like Object Inspection Assignments for a Formation of Unmanned Underwater Vehicles
Authors: Nicodemus Hallin, Benjamin Johnson, Henry Egbo, Michael O'Rourke, Terence Soule, Dean Edwards
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

The purpose of this paper is to use human reasoning as a model for mine counter measure operations of a fleet of unmanned underwater vehicles. Learning from the complexities involved in information processing in real life scenarios, decision making processes by a fleet of unmanned underwater vehicles can be extensively simplified by the introduction of language-centered intelligence (LCI). LCI uses the logic associated with operating the vehicle, including the logic used for processing language, to evaluate scenarios and make decisions. Implementation of LCI occurred in two steps: first, a centralized inspection planner for a decentralized fleet of unmanned underwater vehicles was implemented, followed by a look-ahead inspections module which uses the inspections planner and portrays the application of LCI in a mine search operation.
Computing the Implicit Voronoi Diagram in Triple Precision
Authors: David L. Millman, Jack Snoeyink
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

In a paper that considered arithmetic precision as a limited resource in the design and analysis of algorithms, Liotta, Preparata and Tamassia defined an "implicit Voronoi diagram" supporting logarithmic-time proximity queries using predicates of twice the precision of the input and query coordinates. They reported, however, that computing this diagram uses five times the input precision. We define a reduced-precision Voronoi diagram that similarly supports proximity queries, and describe a randomized incremental construction using only three times the input precision. The expected construction time is O(n (logn + logμ)), where μ is the length of the longest Voronoi edge; we can construct the implicit Voronoi from the reduced-precision Voronoi in linear time.