ppxscal/embedding_network huggingface dataset:
How Will We Interact with the Web of Data?
Authors: Tom Heath
Venue: IEEE Internet Computing (2008)

The Web is currently evolving from an information space of linked documents, to a Web of linked, machine-readable data. Perhaps counter-intuitively, this shift to publishing data for machine consumption raises many challenges for human-computer interaction. In this article I will discuss some of the implications of this trend for how we interact with the Web of data and consider how familiar tools such as the Web browser may need to develop.
From the Editor in Chief: Nature-Inspired Computing
Authors: Nigel Shadbolt
Venue: IEEE Intelligent Systems (2004)

Increased understanding of biological systems will lead to breakthroughs in computing and artificial intelligence.
Porosity generation using hydrogen plasma assisted thermal curing for ultra low k material
Authors: A. Zenasni, V. Jousseaume, O. Gourhant, L. Favennec, P. Maury
Venue: Microelectronic Engineering (2008)

In this work H"2 plasma curing is studied to appreciate hydrogen species impact on porogen removal efficiency and transformation occurring within the porous SiOCH structure. The investigation is done by comparing H"2 plasma with other curing treatment (UV curing). H"2 plasma curing shows a benefit in term of porogen removal and can be considered as a fast process as only few minutes are required to decompose the C-H bonds and create the porosity. However, longer treatment reveals carbon depletion by Si-CH"3 decrease and porosity collapse through the shrinkage enhancement. Plasma treatments lead also to the creation of SiH bonds which could serve as a hydrogen radical generator when the film is electrically stressed. The leakage current and breakdown voltage values are then affected by these hydrogen radicals, which can contribute in the electrical conduction. The H"2 process allows obtaining films with a dielectric constant below 2.4. This process shows encouraging results comparing with the k=2.35 obtained with UV curing technology.
A Note on Granular Sets and Their Relation to Rough Sets
Authors: Antoni Ligęza, Marcin Szpyrka
Venue: Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms (2007)

The paper discusses mathematical concept of granular model for data and knowledge manipulation. In order to overcome the difficulties caused by extensive data representation a new model based on granular sets and granular relations is put forward. The key idea is that the notion of set may consist of basic elements grouped into bigger granules. A granular set is formed from a universe set and a semi-partition defining granules of its elements. Formal definition of granular sets and some basic algebraic operations on granular sets are introduced in the paper. Further, the concept of granular relation is also defined and some possibilities of application of granular sets and relations to knowledge representation are put forward.
ReWiRe: Designing Reactive Systems for Pervasive Environments
Authors: Geert Vanderhulst, Kris Luyten, Karin Coninx
Venue: Interactive Systems. Design, Specification, and Verification: 15th International Workshop, DSV-IS 2008 Kingston, Canada, July 16-18, 2008 Revised Papers (2008)

The design of interactive software that populates an ambient space is a complex and ad-hoc process with traditional software development approaches. In an ambient space, important building blocks can be both physical objects within the user's reach and software objects accessible from within that space. However, putting many heterogeneous resources together to create a single system mostly requires writing a large amount of glue code before such a system is operational. Besides, users all have their own needs and preferences to interact with various kinds of environments which often means that the system behavior should adapt to a specific context of use while the system is being used. In this paper we present a methodology to orchestrate resources on an abstract level and hence configure a pervasive computing environment. We use a semantic layer to model behavior and illustrate its use in an application.
New Tasks on Collections of Digitized Books
Authors: Gabriella Kazai, Antoine Doucet, Monica Landoni
Venue: Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries (2008)

Motivated by the plethora of book digitization projects around the world, the Initiative for the Evaluation of XML Retrieval (INEX) launched a Book Search track in 2007. In its first year, the track focused on Information Retrieval (IR) tasks, exploring the utility of traditional and structured document retrieval techniques to books. In this paper, we propose three new tasks to be investigated at the Book Search track in 2008. The tasks aim to promote research in a wider context, across IR, Human Computer Interaction, Digital Libraries, and eBooks. We identify three novel problem areas, define tasks around these and propose possible evaluation methods.
Interaction Design in Television Voting: A Usability Study on Music TV and Input Devices
Authors: Ralph Riecke, Alex Juers, Konstantinos Chorianopoulos
Venue: Proceedings of the 6th European conference on Changing Television Environments (2008)

The aim of this work is to study the usability of voting on music TV channels. We asked subjects to perform a voting-task on two different music TV shows. The results indicate, that 1) there are small differences in acceptance and understanding of the voting-instructions between users and non-users, 2) the mobile phone is a familiar and the most preferred voting-device and 3) sociability features is a way to support the pricing model of voting services for entertainment applications in TV.
Online Gaming Perpetrators Model
Authors: Yungchang Ku, Saurabh Gupta
Venue: Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics (2008)

Online gaming carries high economic value in e-business. Online gaming players have reasonable expectation in online gaming property and associate them with values in real world markets. This phenomenon emerges as a new research issue related to the development of e-society. This study briefly digests the characteristics of online gaming perpetrators and proposes the perpetrators model in order to explain why online gaming crime happened. The perpetrators model demonstrates that the online gaming crime will happen when valued virtual property, online gaming perpetrators and absence of protection mechanism are cohesive at the same time.
Mobile Hotspots
Authors: Aruna Seneviratne, Eranga Perera, Henrik Petander
Venue: Proceedings of the 3rd Asian conference on Internet Engineering: Sustainable Internet (2007)

The unprecedented proliferation of wireless networking services and products has taken the notion of hotspots a step further to accommodate "mobile hotspots". The deployment of hotspots in trains, ships, planes, buses etc. would certainly change the way we travel. In this article we will first discuss the reasons as to why the current host mobility protocols such as MIPv6 are inadequate to handle the mobility of an entire network. We will then present an overview of the current standard protocol, NEMO Basic Support protocol that was designed to handle the mobility of networks. By way of network mobility scenarios, shortcomings of this protocol that need to be addressed for network mobility to be a truly ubiquitous experience will be identified. Some solutions that have been proposed and implemented in order to handle the identified issues will be presented. Further we present a bandwidth fueling architecture for mobile networks which addresses the challenge of providing continuous high-performance service over wireless networks at a reasonable cost.
Object Class Recognition Using NEAT-Evolved Artificial Neural Network
Authors: Mozaherul Hoque Abul Hasanat, Siti Zubaidah Harun, Dhanesh Ramachandram, Mandava Rajeswari
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

Object class recognition is a highly challenging area in computer vision and machine learning. In this paper, we introduce a novel approach to object class recognition using Neuro Evolution of Augmenting Topologies (NEAT) to evolve artificial neural networks (ANN) capable of taking advantage of the robust SIFT feature based descriptor histograms. We claim that NEAT can produce ANN classifier which exhibits outstanding ability of learning from only afew training examples without sacrificing accuracy. Our empirical evaluations against the performance of state of the art statistical machine learning method such as support vector machine show that NEAT-evolved ANN classifier outperforms by an average of 9.96% higher accuracy when presented with very small training set proving its superior ability to generalize its learning.
The Honeynet Arms Race
Authors: Bill McCarty
Venue: IEEE Security and Privacy (2003)

In July 2003, the Honeynet Project released version 2 of its data-capture tool, Sebek. Several days later, the self-described blackhat group that calls itself the Phrack High Council released a counterfeit issue of the online hacker periodical Phrack Magazine. (The URL for the authentic Phrack is www.phrack.org; the counterfeit issue is at www.phrack.nl/phrack62.) The issue included an article titled "Local Honeypot Identification" that criticized Sebek's effectiveness and that of honeynets in general. Although the means of distributing the fake issue were irregular and the article was littered with puerile humor and gratuitous inflammatory remarks, it did raise several significant issues worthy of discussion. This month's installment of the Honeynet Files describes Sebek and makes the case that despite the fake Phrack issue's claims, both Sebek and honeynets are useful to network security engineers and researchers.
Leakage Energy Reduction in Cache Memory by Software Self-invalidation
Authors: Kiyofumi Tanaka, Takenori Fujita
Venue: Proceedings of the 12th Asia-Pacific conference on Advances in Computer Systems Architecture (2007)

Recently, energy dissipation by microprocessors is getting larger, which leads to a serious problem in terms of allowable temperature and performance improvement for future microprocessors. Cache memory is effective in bridging a growing speed gap between a processor and relatively slow external main memory, and has increased in its size. However, energy dissipation in the cache memory will approach or exceed 50% of the increasing total dissipation by processors. An important point to note is that, in the near future, static (leakage) energy will dominate the total energy consumption in deep sub-micron processes. In this paper, we propose cache memory architecture, especially for on-chip multiprocessors, that achieves efficient reduction of leakage energy in cache memories by exploiting gated-Vdd control and software self-invalidation. In the simulation, our technique reduced 46.5% of leakage energy at maximum, and 23.4% on average, in the execution of SPLASH-2 programs.
Design Flow of Customized Products Based on Similarity Evaluation with Cubic QFD Based on MAS
Authors: Xuan-guo Xu, Win-min Han, Tao-feng Ye
Venue: Proceedings of the 2008 International Symposiums on Information Processing (2008)

In order to meet customization needs as well as to reduce difficulties in followed design and manufacturing, a design flow of customized products is offered. As the basis of this design flow, a similarity evaluation method is put forward. Considering relatively decision makers of independent functional departments as independent decision agents, a decision agent set is added as the third dimensionality to house of quality, the cubic QFD is formed. Finally, the application of the design flow and the similarity evaluation method is verified with a case.
Image-Based Augmented Reality Model for Image-Guided Surgical Simulation
Authors: Junyi Zhang, Shuqian Luo
Venue: Medical Imaging and Informatics: 2nd International Conference, MIMI 2007, Beijing, China, August 14-16, 2007 Revised Selected Papers (2008)

Image-based information is helpful for image-guided surgery therapy using medical imaging devices. In this paper, we present an image-based augmented reality model for potential medical application. Firstly, texture image is generated from two orthogonal images with multi-resolution technique. The surface of a 3D head based on MRI images is flattened onto 2D plane with cylindrical projection method. Then line-pair 2D warping method is used to determine the feature-based positional relationship between the texture image and the flattened image. The information of anatomical structure from medical images can be preserved for the future medical application. Experimental results show that the method can photo-realistically render 3D face with texture mapping. Finally, simple patient-to-model registration is used to obtain interactive augmented reality display of a surgical simulation for a simulated cyst in corpus callosum.
Designing Representative Bodies When the Voter Preferences Are Fuzzy
Authors: Hannu Nurmi, Janusz Kacprzyk
Venue: Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing (2007)

The theory of fuzzy sets has been applied to social choice primarily in the contexts where one is given a set of individual fuzzy preference relations and the aim is to find a non-fuzzy choice set of winners or best alternatives. We discuss the problem of composing multi-member deliberative bodies starting from a set of individual fuzzy preference relations. We outline methods of aggregating these relations into a measure of how well each candidate represents each voter in terms of the latter's preferences. Our main goal is to show how the considerations discussed in the context of individual non-fuzzy complete and transitive preference relations can be extended into the domain of fuzzy preference relations.
Adaptive numerical simulation of intracellular calcium dynamics using domain decomposition methods
Authors: Ch. Nagaiah, S. Rüdiger, G. Warnecke, M. Falcke
Venue: Applied Numerical Mathematics (2008)

In this paper we present adaptive numerical simulations of intracellular calcium dynamics using domain decomposition methods. The modeling of diffusion, binding and membrane transport of calcium ions in cells leads to a system of reaction-diffusion equations. We describe the modulation of cytosolic and ER calcium concentration close to the membrane of the cell organelle. This leads to a two-dimensional model. Local grid refinement is adjusted to the strongly local effects of the calcium dynamics. A finite element method is used for spatial discretization and a Rosenbrock solver for time integration which is third-order accurate and very suitable for nonlinear parabolic problems. We present sequential and parallelized numerical results. The latter are based on domain decomposition methods.
Evolutionary Approach to the Game of Checkers
Authors: Magdalena Kusiak, Karol Walędzik, Jacek Mańdziuk
Venue: Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I (2007)

A new method of genetic evolution of linear and nonlinear evaluation functions in the game of checkers is presented. Several practical issues concerning application of genetic algorithms for this task are pointed out and discussed. Experimental results confirm that proposed approach leads to efficient evaluation functions comparable to the ones used in some of commercial applications.
Simulation Environment for Anticipatory Behaving Agents from the Artificial Life Domain
Authors: Karel Kohout, Pavel Nahodil
Venue: Proceedings of the 7th international conference on Intelligent Virtual Agents (2007)

Our research is focused on simulation of agents - animates. The architecture of these agents is mainly inspired by nature therefore they are sometimes called artificial creatures. The main contribution of this paper is the description of designed simulation environment architecture for the Artificial Life (ALife) domain. It was named the World of Artificial Life (WAL). Our platform incorporates results of research in domain of hybrid agent architectures.
A Fast Parallel Association Rules Mining Algorithm Based on FP-Forest
Authors: Jian Hu, Xiang Yang-Li
Venue: Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II (2008)

Parallel association rules mining is a high performance mining method. Until now there are many parallel algorithms to mine association rules, this paper emphatically analyses existing parallel mining algorithms' realization skill and defects. On the basis, a new data structure, called FP-Forest, is designed with a multi-trees structure to store data. At the same time, a new parallel mining model is proposed according to the property of FP-Forest, which combines the advantage of data-parallel method and task-parallel method. First, database is reasonably divided to data processing nodes by core processor, and FP-Forest structure is built on data processing nodes for each sub-database. Secondly, core node perform a one-time synchronization merging for each FP-Forest, and every MFP-Tree on FP-Forest is dynamical assigned to corresponding mining node as sub-task by task-parallel technique. Furthermore, a fast parallel mining algorithm, namely F-FDPM, is presented to mine association rules according to above model, which mining process adopts frequent growth method basing on deepth-first searching strategy. From experimentation on real data sets, the algorithm has greatly enhanced association rules mining efficiency.
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Authors: Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava
Venue: Proceedings of the 20th international conference on Scientific and Statistical Database Management (2008)

Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationships between the variables. For a single dimension, quantiles are intuitive and robust descriptors. Processing and analyzing such data, particularly in data warehouse or data streaming settings, requires similarly robust and informative statistical descriptors that go beyond one-dimension. Applying quantile methods to summarize a multidimensional distribution along only singleton attributes ignores the rich dependence amongst the variables.In this paper, we present new skyline-based statistical descriptors for capturing the distributions over pairs of dimensions. They generalize the notion of quantiles in the individual dimensions, and also incorporate properties of the joint distribution. We introduce ¿-quantours and ¿-radials, which are skyline points over subsets of the data, and propose (¿, ¿)-quantiles, found from the union of these skylines, as statistical descriptors of two-dimensional distributions. We present efficient online algorithms for tracking (¿,¿)-quantiles on two-dimensional streams using guaranteed small space. We identify the principal properties of the proposed descriptors and perform extensive experiments with synthetic and real IP traffic data to study the efficiency of our proposed algorithms.
Visualization of Use Cases through Automatically Generated Activity Diagrams
Authors: Javier J. Gutiérrez, Clémentine Nebut, María J. Escalona, Manuel Mejías, Isabel M. Ramos
Venue: Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems (2008)

Functional requirements are often written using use cases formatted by textual templates. This textual approach has the advantage to be easy to adopt, but the requirements can then hardly be processed for further purposes like test generation. In this paper, we propose to generate automatically through a model transformation an activity diagram modeling the use case scenario. Such an activity diagram allows us to guess in a glimpse the global behavior of a use case, and can easily be processed. The transformation is defined using the QVT-Relational language, and is illustrated on a case study using a supporting tool.
Adopting agile practices: an incipient pattern language
Authors: Amr Elssamadisy, David West
Venue: Proceedings of the 2006 conference on Pattern languages of programs (2006)

The increasing popularity of Agile approaches to software development forces an increasing number of organizations to deal with issues of Agile adoption (and adaptation). This paper lays some groundwork for a pattern language that will facilitate the transition to agility. We introduce patterns that focus on the dynamics of adoption rather than the structure that results from adoption. To establish the desired foundation it is necessary to "push the pattern envelope" in terms of traditional pattern documentation format and relationships among patterns that form a pattern language.
Reviewing Human Language Identification
Authors: Masahiko Komatsu
Venue: Speaker Classification II: Selected Projects (2007)

This article overviews human language identification (LID) experiments, especially focusing on the modification methods of stimulus, mentioning the experimental designs and languages used. A variety of signals to represent prosody have been used as stimuli in perceptual experiments: lowpass-filtered speech, laryngograph output, triangular pulse trains or sinusoidal signals, LPC-resynthesized or residual signals, white-noise driven signals, resynthesized signals preserving or degrading broad phonotactics, syllabic rhythm, or intonation, and parameterized source component of speech signal. Although all of these experiments showed that "prosody" plays a role in LID, the stimuli differ from each other in the amount of information they carry. The article discusses the acoustic natures of these signals and some theoretical backgrounds, featuring the correspondence of the source, in terms of the source-filter theory, to prosody, from a linguistic perspective. It also reviews LID experiments using unmodified speech, research into infants, dialectology and sociophonetic research, and research into foreign accent.
Indexing techniques for metric databases with costly searches
Authors: Tamer Kahveci
Venue:  (2007)

Similarity search in database systems is becoming an increasingly important task in modern application domains such as artificial intelligence, computational biology, pattern recognition and data mining. With the evolution of information, applications with new data types such as text, images, videos, audio, DNA and protein sequences have began to appear. Despite extensive research and the development of a plethora of index structures, similarity search is still too costly in many application domains, especially when measuring the similarity between a pair or objects is expensive. In this dissertation, the similarity search queries we consider are classified under similarity search and similarity join queries. Several new indexing techniques to improve the performance of similarity search are proposed. For the similarity search queries, reference-based indexing methods applicable to both static and growing databases are proposed. For similarity join queries, a generalized nearest neighbor framework and several search and optimization algorithms are proposed. The extensive experiments evaluates the different parameters used by the proposed methods and performance improvements over the state-of-art algorithms.