ppxscal/embedding_network huggingface dataset:
Limitations of current Ethernet switch architectures for enhanced flow control and service differentiation
Authors: James Aweya, Delfin Y. Montuno, Michel Ouellette
Venue: International Journal of Network Management (2009)

One of the new challenges associated with full-duplex Ethernet is that of providing for network congestion control. The IEEE 802.3x Standard does not specify the switch architecture for implementing PAUSE flow control or at what point a MAC Control entity actually generates a PAUSE frame. This is an implementation issue that is product specific and as a result many different switch architectures are possible. There are also a number of limitations of the PAUSE flow control mechanism when implemented in Ethernet switches. These issues have not been adequately addressed in the literature. In addition, multimedia traffic such as real-time voice and streaming video are now being deployed over switched Ethernet networks, thus calling for congestion control with service differentiation for the various classes of traffic. Here we examine current Ethernet switch architectures and show that the PAUSE flow control when implemented in these architectures does not provide service selectivity and differentiation, making it unsuitable for real-time traffic.
On stability and convergence of the population-dynamics in differential evolution
Authors: Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Ajith Abraham
Venue: AI Communications (2009)

Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to develop more efficient algorithms. In this paper we investigate the dynamics of a canonical Differential Evolution (DE) algorithm with DE/rand/1 type mutation and binomial crossover. Differential Evolution (DE) is well known as a simple and efficient algorithm for global optimization over continuous spaces. Since its inception in 1995, DE has been finding many important applications in real-world optimization problems from diverse domains of science and engineering. The paper proposes a simple mathematical model of the underlying evolutionary dynamics of a one-dimensional DE-population. The model shows that the fundamental dynamics of each search-agent (parameter vector) in DE employs the gradient-descent type search strategy (although it uses no analytical expression for the gradient itself), with a learning rate parameter that depends on control parameters like scale factor F and crossover rate CR of DE. The stability and convergence-behavior of the proposed dynamics is analyzed in the light of Lyapunov's stability theorems very near to the isolated equilibrium points during the final stages of the search. Empirical studies over simple objective functions are conducted in order to validate the theoretical analysis.
Scaling Inertia Properties of a Manipulator Payload for 0-g Emulation of Spacecraft
Authors: Farhad Aghili, Mehrzad Namvar
Venue: International Journal of Robotics Research (2009)

This paper presents a method to control a manipulator system grasping a rigid-body payload so that the motion of the combined system as a consequence of external applied forces is the same as any other free-floating rigid-body (with different inertial properties). This allows 0-g emulation of a scaled spacecraft prototype under the test in a 1-g laboratory environment. The controller consisting of motion feedback and force/moment feedback adjusts the motion of the test spacecraft so as to match that of the flight spacecraft, even if the latter has flexible appendages (such as solar panels) and the former is rigid. The stability of the overall system is analytically investigated, and the results show that the system remains stable provided that the inertial properties of two spacecraft are different and that an upperbound on the norm of the inertia ratio of the payload to the manipulator is respected. Important practical issues such as calibration and sensitivity analysis to sensor noise and quantization are also presented. Finally, experimental results obtained from a robotic setup for spacecraft emulation with a milli-gravity accuracy are presented.
A News Index System for Global Comparisons of Many Major Topics on the Earth
Authors: Tomoya Noro, Bin Liu, Yosuke Nakagawa, Hao Han, Takehiro Tokuda
Venue: Proceeding of the 2009 conference on Information Modelling and Knowledge Bases XX (2009)

In this paper, we propose a news index system which supports users who would like to observe difference in various topics (e.g. politics, economy, education, and culture) among countries/regions. General news sites just provide news articles and we can only read articles which we are interested in by using a keyword search engine or selecting some topic categories provided by each site. Our system has a large index word list, a news index database, and a news directory system. The word list is constructed, expanded, and updated by collecting topic keywords from various Web sites. The news directory system consists of the word list. News articles are collected by using keyword search engines which news sites provide, then index of the collected articles is stored in the database and classified by the news directory system. We can see the difference in various topics among countries/regions by observing co-occurrence of two or more words in the word list.
Generating Structured Explanations of System Behaviour Using Qualitative Simulations
Authors: Anders Bouwer, Bert Bredeweg
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

This paper presents an approach to generate structured explanations of system behaviour based on qualitative simulations. This has been implemented in WiziGarp, a domain-independent learning environment. The main research question addressed here is how to manage the complexity of the simulations in order to generate adequate explanations.
Patter recognition applied to mouse pointer controlled by ocular movements
Authors: Job Ramón De La O Chávez, Carlos Avilés Cruz
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

Researchers on Brain-Computer Interface (BCI) have tried to identify the origin of body movements in humans with limited success. This work looks at the problem using an ocular movement tracker based on ocular artifacts in ElectroEncephalo-Graph (EEG) readings, also called Electro-Oculo-Gram (EOG). The movements are reflected into the EEG signals, which are passed through a multiple classifier, composed of two statistical classic methods (KNN and Bayesian-Gauss) and a Neural Network. The voltage levels of EEG readings and their polarity provide the necessary information to track the focus of attention of the user in a computer screen. All of these artifacts have characteristic curves which can be classified. Focusing on the eye movements, we have developed an eye tracker to recover the point of attention of the user on a computer screen.
Business Process Modeling
Authors: Ivo Vondrák
Venue: Proceeding of the 2007 conference on Information Modelling and Knowledge Bases XVIII (2007)

Process modeling and workflow applications have become more an more important during last decade. The main reason for this increased interest is the need to provide computer aided system integration of the enterprise based on its business processes. This need requires a technology that enables to integrate modeling, simulation and enactment of processes into one single package. The primary focus of all tools is to describe the way how activities are ordered in time. This kind of partially ordered steps shows how the output of one activity can serve as the input to another one. But there is also another aspect of the business process that has to be involved --where the activities are executed. The spatial aspect of the process enactment represents a new dimension in the process engineering discipline. It is also important to understand that not just process enactment but also the early phases of process specification have to cope with this spatial aspect. The paper is going to discuss how all these above mentioned principles can be integrated together and how the standard approach in process specification might be extended with the spatial dimension to make business process models more natural and understandable.
Alternating Iterative Projection Algorithm of Multivariate Time Series Mixed Models
Authors: Zhongcheng Zhang
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

In this paper, a new parameters estimation method is proposed based on the ill-condition separation method and the alternating iterative projection algorithm for the problem of column multi-collinearity of design matrix in the multiple regression and multivariate time series mixed models. Furthermore, the parameters estimation is improved according to the character of model. Therefore, the improved estimated parameters have better character.
Information infrastructures and public goods: analytical and practical implications for SDI
Authors: Margunn Aanestad, Eric Monteiro, Petter Nielsen
Venue: Information Technology for Development (2007)

Spatial Data Infrastructures (SDIs) are envisioned to increase efficiency, transparency and equity, but realising this potential has proven problematic. We argue that insights from studies of large-scale, integrated but distributed information systems, dubbed "information infrastructures," are applicable. This perspective may help address an important dimension of SDIs: their character of being public goods rather than private assets. We identify and illustrate four key aspects of information infrastructures that underpin such a public good's focus. First, we advocate the necessity of deploying a socio-technical rather than a limited technical perspective. We further argue that the notion of installed base is central, that it is important to be aware of the "politics of representations" and to accept the unavoidable "messiness" of reality. We illustrate these concepts through examples from health care in developing countries, an area particularly concerned with the potential to increase equity.
Real Time Identification of SSH Encrypted Application Flows by Using Cluster Analysis Techniques
Authors: Gianluca Maiolini, Andrea Baiocchi, Alfonso Iacovazzi, Antonello Rizzi
Venue: Proceedings of the 8th International IFIP-TC 6 Networking Conference (2009)

The identification of application flows is a critical task in order to manage bandwidth requirements of different kind of services (i.e. VOIP, Video, ERP). As network security functions spread, an increasing amount of traffic is natively encrypted due to privacy issues (e.g. VPN). This makes ineffective current traffic classification systems based on ports and payload inspection, e.g. even powerful Deep Packet Inspection is useless to classify application flow carried inside SSH sessions. We have developed a real time traffic classification method based on cluster analysis to identify SSH flows from statistical behavior of IP traffic parameters, such as length, arrival times and direction of packets. In this paper we describe our approach and relevant obtained results. We achieve detection rate up to 99.5 % in classifying SSH flows and accuracy up to 99.88 % for application flows carried within those flows, such as SCP, SFTP and HTTP over SSH.
Rough Set Model for Constraint-based Multi-dimensional Association Rule Mining
Authors: Wanzhong Yang, Yuefeng Li, Yue Xu, Hang Liu
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

This paper presents a rough set model for constraint-based multi-dimensional association rule mining. It first overviews the progress in constraint-based multi-dimensional association rule mining. It then applies the constraints on the rough set model. To set up a decision table, it adopts the user voting and the thresholds on condition granules and decision granules. Finally it employs the extended random sets to generate interesting rules. It shows that this rough set model will effectively improve the quality of association rule mining by reducing the attributes greatly in the vertical direction and clustering the records clearly in the horizontal direction. To describe the association among the attributes, it constructs an ontology and presents a new concept of an association table. The construction of a tuple in an association table indicates the relationship among different levels on the ontology towards decision support.
An automated methodology for negotiation behaviors in multi-agent engineering applications
Authors: Bernard P. Zeigler
Venue:  (2008)

The ability to manage and exploit geographically distributed systems of service providers is rather limited in today engineering solutions. Existing techniques suffer from three main problems: first, current techniques cannot provide brokering in managing loosely coupled service providers. Second, the engineering design of existing management tools does not provide enough expressive capabilities for varying user behaviors or when different domains are encountered. Third, lack of interaction between different requestors and providers yields inefficient and very costly agreements. In this thesis, we will present an automated Domain-Independent Marketplace architecture that allows user agents to interact with provider agents using two simple and yet powerful negotiation protocols which define the rules of interactions in multi-agent environments. Having a trusted third party marketplace supports privacy and transparency among collaborative agents and service providers. Service providers have different capabilities depending on the domain of interest. Such providers can be radar sensors as in oceanography surveillance systems, print servers in distributed printing jobs community, or they can be online stores providing products on the web in the E-commerce domain. In order to provide negotiation in different domains, a dynamic message structuring capability is needed. A key role to support such an expressive power is to design an ontology that contains specialization relations between the different domains of interest. The automation of integrating the Domain-Dependent message structure Ontology with the Domain-Independent marketplace architecture gives the designer a powerful tool in which systems can be tailored based on the operational purposes and objectives.The System Entity Structure (SES) methodology, which is a formalism to define hierarchical relations among entities, is used to build the required message structures Ontology automatically through the creation of SES natural language. The architecture design of the Marketplace suggests different phases and functionalities which are mapped and implemented using the Discrete Event System Specifications (DEVS). DEVS/Service Oriented Architecture (DEVS/SOA) is used to validate our system and show a proof of the concept by deploying models of printing jobs in a web-services multi-server environment for printing server domain.
Implementing assuring forward per hop behaviour class in web servers with dynamic scheduling and selective discards
Authors: Tiago Semprebom, Romulo Silva De Oliveira, Carlos Montez
Venue: International Journal of Communication Networks and Distributed Systems (2009)

This paper proposes an approach for services differentiation in web servers that preserves the network end-to-end quality of service (QoS) mapping in conformance to per hop behaviour assuring forward group. This novel approach uses dynamic scheduling techniques and selective discard of requests to provide a proportional service differentiation to web clients. A prototype was built over the Apache web server and measurements were carried out aiming to evaluate the approach, contrasting it with other traditional techniques of services differentiation.
Exponential Stability of Impulsive Hopfield Neural Networks with Time Delays
Authors: Tingyan Xing, Muyao Shi, Wenjie Jiang, Nan Zhang, Tuo Wang
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

This paper considers the problems of global exponential stability and exponential convergence rate for impulsive Hopfield neural networks with time delays. By using the method of Lyapunov functions, M-matrix theory and inequality technique, some sufficient conditions for ensuring global exponential stability of these networks are derived, and the estimation for exponential convergence rate index is also obtained. As an illustration, an numerical example is worked out to show the effectiveness of the obtained results.
An interoperability service framework for high-resolution image applications
Authors: Ryan Chute, Stephan Dresher, Luda Balakireva, Herbert Van de Sompel
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

This poster presents a prototype architecture and potential use-cases for a standards-based service framework to simplify development of high-resolution image viewing clients.
Haptics-based virtual reality periodontal training simulator
Authors: Cristian Luciano, Pat Banerjee, Thomas DeFanti
Venue: Virtual Reality (2009)

This paper focuses upon the research and development of a prototype dental simulator for training of periodontal procedures. By the use of virtual reality and haptics technology, the periodontal simulator allows trainees to learn performing diagnosis and treatment of periodontal diseases by visualizing a three-dimensional virtual human mouth and feeling real tactile sensations while touching the surface of teeth, gingiva, and calculi with virtual dental instruments. Since periodontics requires dentists to depend primarily on tactile sensations to perform diagnostic and surgical procedures, the use of haptics is unquestionably crucial for a realistic periodontal simulator. The haptics-based virtual reality periodontal training simulator has been validated by a experiment conducted by the College of Dentistry at University of Illinois at Chicago (UIC) with faculty members and dental students, which demonstrates the scientific contribution and usefulness of the simulator as a vital part of the curriculum of the Department of Periodontics at UIC.
A Shortest Path-Based Approach to the Multileaf Collimator Sequencing Problem
Authors: Hadrien Cambazard, Eoin O'Mahony, Barry O'Sullivan
Venue: Proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (2009)

The multileaf collimator sequencing problem is an important component in effective cancer treatment delivery. The problem can be formulated as finding a decomposition of an integer matrix into a weighted sequence of binary matrices whose rows satisfy a consecutive ones property. Minimising the cardinality of the decomposition is an important objective and has been shown to be strongly NP-Hard, even for a matrix restricted to a single row. We show that in this latter case it can be solved efficiently as a shortest path problem, giving a simple proof that the one line problem is fixed-parameter tractable in the maximum intensity. This result was obtained recently by [9] with a complex construction. We develop new linear and constraint programming models exploiting this idea. Our approaches significantly improve the best known for the problem, bringing real-world sized problem instances within reach of complete methods.
Scrutability as a core interface element
Authors: Marek Czarkowski, Judy Kay, Serena Potts
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

This paper describes a new approach to supporting scrutability of adaptation. Because our previous work indicated that people are unfamiliar with the whole notion that they might control the personalisation of an adaptive learning interface, we have experimented with a new approach. We make the scrutability support blatant and presented by default. We report a user trial indicating that although the users were unaccustomed to the notion that they might understand and control personalization, the did succeed in scrutinizing the adaptation.
The Specifics of Dedicated Data Warehouse Solutions
Authors: Anna Zygmunt, Marek A. Valenta, Tomasz Kmiecik
Venue: Proceeding of the 2005 conference on Software Engineering: Evolution and Emerging Technologies (2005)

Data warehouses are currently one of the most dynamic areas of database development. Knowledge in this area is valuable for the developers of applications, especially when it concerns a rarely touched-upon domain. The authors would like to present their experience with the practical implementation of a data warehouse which stores and processes data related to the incidence of nosocomial infections in hospitals. The paper presents the methodology of creating a conceptual data warehouse model as well as the resultant system architecture. We focus on aspects of managing the data warehouse itself and propose methods for creating and updating the data warehouse in light of the specific conditions posed by the application domain. In order to manage our data warehouse we have created a dedicated application, whose development process is also described in this paper.
Microsoft Office Excel 12
Authors: R. Pasewark
Venue:  (2007)

Microsoft Excel 2007 Introductory is designed for beginning users of Microsoft Office 2007. This self-paces, step-by-step book with corresponding screenshots makes learning easy and enjoyable. Students will learn the new features of the software through a variety of activities, simulations, and case studies. End-of-lesson exercises reinforce the skills covered in each lesson. 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
Modeling E-Commerce Systems- An Application of Generative Software Development Techniques
Authors: Sean Q. Lau
Venue:  (2007)

The pervasiveness and criticality of software applications in modern times have resulted in the demand for highly customized, high quality products in a timely and cost-efficient manner. Research in the area of Generative Software Development (GSD) aims to satisfy this demand. Model-Driven Software Product Lines (MDSPL) is a GSD approach to software development which allows developers to automatically build such products based on configuration knowledge and reusable assets. This book provides an introduction to the GSD approach and shows how it can be applied to model e-commerce systems; the intricate number of features and their interactions, as well as their applicability in the modern economy makes e-commerce systems the ideal domain for this study. The reader will gain a better understanding of the domain engineering process as we strive to define and build the reusable assets which can be used to create hundreds of variations of e-commerce systems. This book is intended for software researchers and practitioners who are interested in exploring and applying cutting-edge software engineering techniques, as well as readers who are interested in e-commerce systems in general. 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