ppxscal/embedding_network huggingface dataset:
Computer processing of Arabic script-based languages: current state and future directions
Authors: Ali Farghaly
Venue: Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages (2004)

Arabic script-based languages do not belong to a single language family, and therefore exhibit different linguistic properties. To name just a few: Arabic is primarily a VSO language whereas Farsi is an SVO and Urdu is an SOV language. Both Farsi and Urdu have light verbs whereas Arabic does not. Urdu and Arabic have grammatical gender while Farsi does not. There are, however, linguistic and non-linguistic factors that bring these languages together. On the linguistic side it is the use of the Arabic script, the right to left direction, the absence of characters representing short vowels and the complex word structure. Non-linguistic common properties that bind the majority of speakers of these languages include: the Qur'an that every Moslem has to recite in Arabic, proximity of the countries speaking these languages, common history and, to a large extent, a common culture and historical influx. It is not surprising, then, that the surge of interest in the study of these languages and the sudden availability for funding to support the development of computational applications to process data in these languages come for all these languages at the same time. 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
An Extensible Multi-agent Based Traffic Simulation System
Authors: Cheng Tao, Shengguo Huang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Agent technology is rapidly emerging as a powerful computing paradigm to cope with the complexity in dynamic distributed systems, such as microscopic traffic simulation systems. However, while a number of agent-based microscopic traffic simulation systems have been proposed and the multi-agent systems have been studied, to the best of our knowledge, the extensibility and interoperability have not been taken into account in this field. In this paper, we propose to integrate an extensible environmental information sensing(EIS) technology with multi-agent systems to enhance the ability of the traffic simulation systems to deal with increasing complex and large scale road network. In particular, we have developed an IEEE FIPA compliant traffic simulation system called JADE(Java based Agent Development Framework) based traffic simulation system(JTSS). The use of EIS decouples underlying infrastructure of road network and driver vehicle agents that makes it much easier to migrate between hosts of connected networks. The simulation of using multi-host deployment demonstrates that JTSS offers great flexibility in simulating large scale traffic systems.
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Venue: ACM International Conference Proceeding Series (2009)

The 11th International Conference International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2009) provides a forum for academics and practitioners to discuss the challenges and potential solutions for effective interaction with mobile systems and services. It covers the design, evaluation and application of techniques for all mobile and wearable computing devices and services. The conference series developed since 1998 from a workshop format into a symposium and is held since 2004 as an international conference. It has been held in cooperation with the ACM at places such as Amsterdam, Singapore, Helsinki, Salzburg, or Pisa. In 2009 the conferences is organized for the first time in Germany, jointly by Fraunhofer FIT, Sankt Augustin, and the University of Siegen. In these proceedings, we document the selected full and short Papers. We received this year 176 submissions, 95 full and 81 short Papers. We were able to accept 23 full papers (at a 24.2% acceptance rate) and 15 short Papers (at a 18.5% acceptance rate). The overall acceptance rate is 21.6%. Full and short Papers were chosen in a severe and quality-oriented selection process in which each contribution was evaluated by at least three reviewers. After the completion of the reviews, some 30 reviewers came together in Sankt Augustin for a two days meeting to evaluate the reviews and make final decisions on acceptance. These reviewers are highlighted by an * in the list of reviewers. We paid specific attention to the scientific value of the contribution, the methods used and the fit with the main stream of the conference. We have been very selective. This highly qualityoriented selection process will strengthen the reputation of MobileHCI as the primary international meeting in our field. Please note that the acceptance rates were clearly lower than in this year's ACM-CHI conference.
Interaction analysis of dual-interaction CSCL environments
Authors: Murat Perit Cakir, Gerry Stahl
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

In order to collaborate effectively in group discourse on a topic like mathematical patterns, group participants must organize their activities so that they have a shared understanding of the significance of their utterances, inscriptions and behaviors--adequate for sustaining productive interaction. The need for participants to coordinate their actions becomes particularly salient in dual-interaction environments, where, e.g., chat postings and graphical drawings must work together; analysts of such interactions must identify the subtle and complex ways in which meaning making proceeds. This paper considers the methodological requirements on analyzing interaction in dual-interaction environments by reviewing several exemplary CSCL studies. It reflects on the nature of social organization, grounding and indexicality that frame the interaction to be analyzed.
Practice of Promoting HCD Education by a Consumer-Electronics Manufacturer
Authors: Jun Ito, Akiyoshi Ikegami, Tomoshi Hirayama
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

We conducted an internal e-learning course on the basics of HCD, starting in February 2008. E-learning is convenient in that any employee can take the course whenever they like. The e-learning course described in this report aims at preventing miscommunication regarding user interfaces. What we expect to achieve by realizing that purpose is, (1) to enable to memorization of the defined common terms, and (2) to encourage daily use of the common terms when talking about user interfaces in the workplace. Then we decided to select seven key words and three methods that make up the ten common terms.
Didactic Models as Design Representations
Authors: Chris Stary
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

The contribution focuses on the role of didactic knowledge when designing interactive e-learning environments. Several representational approaches for the preparation of domain content and learning support have been developed. However, for the context-sensitive design of interactive artifacts not only the representation of particular aspects of learning is essential, but rather the propagation of didactic knowledge to functional services and interaction facilities. Such an endeavor requires the explicit representation of relationships between structure and behavior elements. Model-driven design supports the distinctive representation of multiple perspectives while allowing the mutually tuned refinement of design elements. In this paper a model-based approach for self-organized e-learning is presented. It supports the design of learner-centered knowledge acquisition by specifying user roles and learning tasks. We discuss the required enrichments of traditional model-based design approaches, due to the consistent tuning of high-level design elements, and the coherent propagation of task and user information to interaction services.
QUAD: A multivariate stream cipher with provable security
Authors: Côme Berbain, Henri Gilbert, Jacques Patarin
Venue: Journal of Symbolic Computation (2009)

In this paper we present the stream cipher QUAD and the provable security arguments supporting its conjectured strength for suitable parameter values. QUAD was first proposed at Eurocrypt 2006 by Berbain and co-workers [Berbain, C., Gilbert, H., Patarin, J., 2006b. QUAD: A practical stream cipher with provable security. In: Vaudenay, S. (Ed.), Advances in Cryptology - EUROCRYPT 2006. In: Lecture Notes in Computer Science, Springer-Verlag]. It relies on the iteration of a set of multivariate quadratic polynomials over a finite field, typically GF(2) or a small extension. We show that in the binary case, the security of the keystream generation can be related, in the concrete security model, to the conjectured intractability of the MQ problem of solving a random system of m equations in n unknowns. We show furthermore that this security reduction can be extended to incorporate the key and IV setup and provide a security argument related to the whole stream cipher. We also briefly address software and hardware performance issues and show that if one is willing to pseudo-randomly generate the sets of quadratic polynomials underlying the cipher, this leads to surprisingly inexpensive hardware implementations of QUAD.
MR-Mirror: A Complex of Real and Virtual Mirrors
Authors: Hideaki Sato, Itaru Kitahara, Yuichi Ohta
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

MR-mirror is a novel Mixed-Reality (MR) display system created by using real and virtual mirrors. It merges real visual information reflected on a real mirror and a virtual one displayed on an electronic monitor. A user's body is presented by the reflection on the real mirror, and virtual objects are presented on a monitor that is visible through the real mirror. Users can observe an MR scene without wearing such devices as a head-mounted display and can interact with the virtual objects around them using their body motion in MR space. We implemented a prototype MR-mirror and a demonstration system.
Recognizing intended meaning and speakers' plans
Authors: Candace L. Sidner, David J. Israel
Venue: Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1 (1981)

Human conversational participants depend upon the ability of their partners to recognize their intentions, so that those partners may respond appropriately. In such interactional the speaker can encode his intentions that the hearer act in a variety of sentence types. Instead of telling the hearer what to do. the speaker may Just state his goals, and expect a response that meets these goals. This paper presents a new model for recognizing the speaker's Intended meaning in determining a response. We show that this recognition makes use of the speaker's plan, his beliefs about the domain and about the hearer's relevant capacities.
Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets
Authors: Ivan G. Costa, Ana C. Lorena, Liciana R. Peres, Marcilio C. Souto
Venue: Proceedings of the 4th Brazilian Symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology (2009)

Supervised Machine Learning methods have been successfully applied for performing gene expression based cancer diagnosis. Characteristics intrinsic to cancer gene expression data sets, such as high dimensionality, low number of samples and presence of noise makes the classification task very difficult. Furthermore, limitations in the classifier performance may often be attributed to characteristics intrinsic to a particular data set.This paper presents an analysis of gene expression data sets for cancer diagnosis using classification complexity measures. Such measures consider data geometry, distribution and linear separability as indications of complexity of the classification task. The results obtained indicate that the cancer data sets investigated are formed by mostly linearly separable non-overlapping classes, supporting the good predictive performance of robust linear classifiers, such as SVMs, on the given data sets. Furthermore, we found two complexity indices, which were good indicators for the difficulty of gene expression based cancer diagnosis.
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time
Authors: Mirko Boettcher, Martin Spott, Rudolf Kruse
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Driven by the need to understand change within domains there is emerging research on methods which aim at analyzing how patterns and in particular itemsets evolve over time. In practice, however, these methods suffer from the problem that many of the observed changes in itemsets are temporally redundant in the sense that they are the side-effect of changes in other itemsets, hence making the identification of the fundamental changes difficult. As a solution we propose temporally closed itemsets, a novel approach for a condensed representation of itemsets which is based on removing temporal redundancies. We investigate how our approach relates to the well-known concept of closed itemsets if the latter would be directly generalized to account for the temporal dimension. Our experiments support the theoretical results by showing that the set of temporally closed itemsets is significantly smaller than the set of closed itemsets.
Application Specific Transistor Sizing for Low Power Full Adders
Authors: Fatemeh Eslami, Amirali Baniasadi, Mostafa Farahani
Venue: Proceedings of the 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (2009)

Previously suggested transistor sizing algorithms assume that all input transitions are equally important. In this work we show that this is not an accurate assumption as input transitions appear in different frequencies. We take advantage from this phenomenon and introduce Application Specific Transistor Sizing. In Application Specific Transistor Sizing higher priority is given to more frequent transitions. We apply our technique to two modern and low-power full adders (i.e., hybrid-CMOS and TFA) and show that it is possible to further reduce power dissipation and PDP. By using our technique we improve average PDP by 6% and 9% for TFA and hybrid-CMOS adders respectively. We reduce ALU energy consumption for ALU designs using TFA and hybrid-CMOS FAs by 2.7% and 4 % respectively.
Spectral Analysis in Stimuli Art Predefining in Music Therapy
Authors: Andrzej W. Mitas
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

In the paper, first a short discussion about music therapy is presented. Some important features of the so called modern live style are pointed out in the context of human’s emotional quality. In this meaning of affective states the stimuli art of the daily music influence as a therapy is presented. The main goal of the analysis would be to define, what kind of sounds’ sets should be used, to reach the relaxation state of the human body. It is presented, on the base of spectral analysis of the mechanical sound waves, that music, which is made by mixed (bas, tenor, alt and soprano) chore, seems to be better for these applications, that the one from an typical instrument. There existsound frequencies (proposed in literature) which are much easier attainable for the human voice than for a musical instrument.
Development of a smart home simulator for use as a heuristic tool for management of sensor distribution
Authors: Michael P. Poland, Chris D. Nugent, Hui Wang, Liming Chen
Venue: Technology and Health Care (2009)

Smart Homes offer potential solutions for various forms of independent living for the elderly. The assistive and protective environment afforded by smart homes offer a safe, relatively inexpensive, dependable and viable alternative to vulnerable inhabitants. Nevertheless, the success of a smart home rests upon the quality of information its decision support system receives and this in turn places great importance on the issue of correct sensor deployment. In this article we present a software tool that has been developed to address the elusive issue of sensor distribution within smart homes. Details of the tool will be presented and it will be shown how it can be used to emulate any real world environment whereby virtual sensor distributions can be rapidly implemented and assessed without the requirement for physical deployment for evaluation. As such, this approach offers the potential of tailoring sensor distributions to the specific needs of a patient in a non-evasive manner. The heuristics based tool presented here has been developed as the first part of a three stage project.
Assessing the Architectural Design Services by Using DEMATEL Approach
Authors: Shouming Chen, Jie Li
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

The architectural design service, a knowledge intensive industry, expands rapidly in China. Upgrading the service level becomes an important issue for managers and the assessment of architectural design services is a multiple-criteria decision making (MCDM) problem. Many traditional MCDM methods are based on the additive concept along with the independence assumption, but criteria may be dependent in some situations. The Decision Making Trial and Evaluation Laboratory (DEMATEL) can be used as a wise method to handle the inner dependences within a set of criteria. In this paper, DEMATEL approach is proposed to assess architectural design services more effectively. In addition, a case study is presented to make this approach more understandable for managers.
Group-by Query Process in Middleware of Large Scale Data Intensive Systems
Authors: Huaiming Song, Mingyuan An, Yang Wang, Weiping Wang, Ninghui Sun
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

Large scale data intensive systems are available in many fields in recent years, and it’s a severe challenge for group-by query of large volume of data in a cluster based on shared-nothing architecture. This paper proposes a design of a parallel query engine (PQE) and its asynchronous improvement (APQE) for group-by queries. PQE and APQE support for pipelined query processing and develop maximum degree of pipeline parallelism. APQE further eliminates the synchronous overhead of multi nodes parallelism, and returns part of final result as early as possible if no data dependency exists. Experimental results demonstrate that, compared to previous 2-step query engine, PQE and APQE can make a significant performance improvement for group-by query of large data sets in a shared-nothing cluster system, as well as obviously better scalability.
Computer Science Unplugged: K--12 special session
Authors: Jeff Lehman
Venue: Journal of Computing Sciences in Colleges (2009)

The "Computer Science Unplugged" project (http://csunplugged.org/), created by Tim Bell, Ian H. Witten, and Mike Fellows is a set of activities that describe fundamental computing concepts using games and puzzles. The activities do not use computers, rather they employ classroom items like paper, pencil, chalk, and string. The activities are designed for K-12 students, but are appropriate for all ages. Each activity contains background information, hands-on exercises, and a conclusion section titled "What's it all about" explaining the relevance to computer science.
On the Emulation of Expert Systems Based on Development of Agents
Authors: Libo Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

In recent years, much research has been devoted to the visualization of redundancy; contrarily, few have enabled the development of agents. In fact, few statisticians would disagree with the analysis of Smalltalk, which embodies the typical principles of theory. The new signed information is proposed. The need is motivated for the Ethernet and the work is placed in context with the existing work. In conclusion, the robust unification of architecture and hierarchical databases are disconfirmed. On a similar note, to accomplish the intent, "fuzzy" modalities are used to verify that the mesh networks can be made interactive, knowledge-based, and heterogeneous.
Periodical switching between related goals for improving evolvability to a fixed goal in multi-objective problems
Authors: Seppo J. Ovaska, Bernhard Sick, Alden H. Wright
Venue: Information Sciences: an International Journal (2009)

Evolutionary computation plays a principal role in intelligent design automation. Evolutionary approaches have discovered novel and patentable designs. Nonetheless, evolutionary techniques may lead to designs that lack robustness. This critical issue is strongly connected to the concept of evolvability. In nature, highly evolvable species tend to be found in rapidly changing environments. Such species can be considered robust against environmental changes. Consequently, to create robust engineering designs it could be beneficial to use variable, rather than fixed, fitness criteria. In this paper, we study the performance of an evolutionary programming algorithm with periodical switching between goals, which are selected randomly from a set of related goals. It is shown by a dual-objective filter optimization example that altering goals may improve evolvability to a fixed goal by enhancing the dynamics of solution population, and guiding the search to areas where improved solutions are likely to be found. Our reference algorithm with a single goal is able to find solutions with competitive fitness, but these solutions are results of premature convergence, because they are poorly evolvable. By using the same algorithm with switching goals, we can extend the productive search length considerably; both the fitness and robustness of such designs are improved.
Classification of P2P and HTTP Using Specific Protocol Characteristics
Authors: John Hurley, Emi Garcia-Palacios, Sakir Sezer
Venue: Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future (2009)

A key aspect of traffic classification is the early identification of individual flows which may utilise strategies such as ephemeral ports and transport later encryption to `hide' on the network. This paper focuses on P2P and HTTP - the two main producers of network traffic - to determine the characteristics of their individual flows. We propose a heuristic based classification system to distinguish HTTP and P2P flows using only the structure of how packets are passed and the lengths of the individual packets. The classification system is then tested on real network traffic and results presented to show it can accurately detect P2P and HTTP within the early part of a TCP flow.
Extension of domains of states
Authors: Roman Fri&#x010d;
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2008)

We deal with categorical aspects of the extensions of generalized probability measures. In particular, we study various domains of fuzzy sets, describe the relationships between &#x03c3;-fields of crisp sets and generated &#x0141;ukasiewicz tribes of measurable functions, and mention some probabilistic aspects. D-posets and sequential continuity play an important role.