ppxscal/embedding_network huggingface dataset:
Contextualized Space-Time Accessibility Modeling and Measurements with NeuroFuzzy Proximity Relations
Authors: Thi Hong Diep Dao, Jean-Claude Thill
Venue: Proceedings of the 2009 International Conference on Advanced Geographic Information Systems & Web Services (2009)

The paper proposes an analytical framework for contextualized space-time accessibility modeling using a neurofuzzy proximity relations approach that recognizes that information available to travelers is typically imperfect, incomplete, and in any case filtered through their cognitive and sensorial processes due to individual contextualized factors. As the concept of "accessibility" varies largely in different contexts, it should not only be defined a priori in crisp terms but also by means of linguistic qualitative descriptors more in tune with human cognition. These qualitative measures can be converted from and to transportation network-based metric distances, and consequently space-time prisms, using a neurofuzzy proximity relations approach. The reverse translation enables to feed crisp geoprocessing results back to information users in a form that is consistent with their own information processing capabilities. Along the same line, contextualized space-time benefit measurement is proposed via the neurofuzzy-based contextualization of the attraction of an activity location and of travel time to reach activity locations. This leads to a more individual-centric accessibility analysis that may turn out to be a core component of many applications to come, particularly location-based services.
Agent long-term coalition credit
Authors: Xiangrong Tong, Houkuan Huang, Wei Zhang
Venue: Expert Systems with Applications: An International Journal (2009)

Agent trust researches become more and more important because they will ensure good interactions among the software agents in large-scale open systems. Moreover, individual agents often interact with long-term coalitions such as some E-commerce web sites. So the agents should choose a coalition based on utility and trust. Unfortunately, few studies have been done on agent coalition credit and there is a need to do it in detail. To this end, a long-term coalition credit model (LCCM) is presented. Furthermore, the relationship between coalition credit and coalition payoff is also attended. LCCM consists of internal trust based on agent direct interactions and external reputation based on agent direct observation. Generalization of LCCM can be demonstrated through experiments applied in both cooperative and competitive domain environment. Experimental results show that LCCM is capable of coalition credit computation efficiently and can properly reflect various factors effect on coalition credit. Another important advantage that is a useful and basic property of credit is that LCCM can effectively filter inaccurate or lying information among interactions.
Two application programs which link design and manufacture
Authors: Henry Merryweather
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

The Computer-Aided Design (CAD) Centre at Cambridge, England has pursued a policy of cooperation with various industrial organizations to specify and develop computer programs which fulfil a variety of needs. These needs are dependent on the nature of the industry involved and have resulted in diverse application programs which include: visualization packages to assist architects to "see" the building they are designing before it is built; systems to assist the design and costing of chemical plant, and programs to generate the precision artwork for printed circuit boards.
Efficient Hybrid Packet Classification in Traffic Control System Using Network Processors
Authors: Yizhen Liu, Daxiong Xu, Zhixin Mu, Jiayi Qin
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

The fast increasing Internet applications need accurate, high performance and scalable packet classification in traffic control systems. Although there are several designs of packet classification implemented on heterogeneous hardware platforms, accurate and ultra-speed packet classification remains elementary. The disparity arises because traditional packet classification algorithms with imprecise port-based method and packet processing have unacceptably memory access latency. This paper discusses an efficient hybrid packet classification in gigabits traffic control systems using second-generation programmable network processor. Firstly, we address the problem of inaccurate packet classification and analyze the payload of applications. Secondly, we present the packet classification using not only packet header but the first 64-bit payload. Finally, we describe the software pipeline architecture and hardware design for our approach with network processor. Compared with traditional solutions, the hybrid packet classification has 93% accuracy and speed up to 7.6Gbps in a real network environment.
Research of factors for the response of LCDs
Authors: Zhang Fanghui, Yang Dan, Wang Xiufeng
Venue: Proceedings of the 2008 International Conference on Advanced Infocomm Technology (2008)

Slow response is one of the main restricted factors for the development of LCDs. This paper describes the principle and methods for reducing the response time of LCDs. The total display process is divided into three stages in this paper: the polarization stage, the rotation stage, and the recovery stage. And then the influence factors for each stage are discussed separately from the point of characteristics of LCD molecule, driving characteristics and charge accumulation effect. Results show that response time of LCDs can be improved by using the fast polarized LC materials, reducing the rotation time of LC molecule, and eliminating the charge accumulation effect, with the result of better display quality.
A Public Key Cryptosystem Based on Non-abelian Finite Groups
Authors: Wolfgang Lempken, Trung van Tran, Spyros S. Magliveras, Wandi Wei
Venue: Journal of Cryptology (2008)

We present a new approach to designing public-key cryptosystems based on covers and logarithmic signatures of non-abelian finite groups. Initially, we describe a generic version of the system for a large class of groups. We then propose a class of 2-groups and argue heuristically about the system&#x2019;s security. The system is scalable, and the proposed underlying group, represented as a matrix group, affords significant space and time efficiency.
Information retrieval with FROM: The fuzzy relational ontological model
Authors: Rachel Pereira, Ivan Ricarte, Fernando Gomide
Venue: International Journal of Intelligent Systems (2009)

This paper presents FROM, the fuzzy relational ontological model, a novel approach to encode knowledge for information retrieval applications based upon a fuzzy set framework that consider more generic concepts differently from specific terms. Besides the model itself, the paper also presents a retrieval algorithm that exploits FROM features through the application of fuzzy operations that uses this knowledge to extend a user's query based on these fuzzy associations. Experimental results have shown that retrieval with FROM presented better overall performance than other fuzzy-based approaches for information retrieval. &copy; 2009 Wiley Periodicals, Inc.
The Design of a Self-locating Automatic-Driving Robot
Authors: Gi-Duck Park, Robert Mccartney, Jung-Jin Yang
Venue: Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems (2008)

In order for a robot to be part of ubiquitous computing to provide a solution or service in different and distributed environment, it needs to precisely recognize the environment it is placed into and the activity of the robot is controled by the input data though this recognition. In this paper, we present a system which allows the robot to effectively accomplish its mission by actuators citing the Mental State built through integrating the context collected and data output by various component agents of the robot. The system uses the blackboard system, serving as the central data structure in intellectual activity of a robot. Also, the feasibility of this system is demonstrated through constructing a cricket-based self-locating automatic-driving robot.
Limited-Memory Techniques for Sensor Placement in Water Distribution Networks
Authors: William E. Hart, Jonathan W. Berry, Erik Boman, Cynthia A. Phillips, Lee Ann Riesen, Jean-Paul Watson
Venue: Learning and Intelligent Optimization: Second International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers (2008)

The practical utility of optimization technologies is often impacted by factors that reflect how these tools are used in practice, including whether various real-world constraints can be adequately modeled, the sophistication of the analysts applying the optimizer, and related environmental factors (e.g. whether a company is willing to trust predictions from computational models). Other features are less appreciated, but of equal importance in terms of dictating the successful use of optimization. These include the scale of problem instances, which in practice drives the development of approximate solution techniques, and constraints imposed by the target computing platforms. End-users often lack state-of-the-art computers, and thus runtime and memory limitations are often a significant, limiting factor in algorithm design. When coupled with large problem scale, the result is a significant technological challenge. We describe our experience developing and deploying both exact and heuristic algorithms for placing sensors in water distribution networks to mitigate against damage due intentional or accidental introduction of contaminants. The target computing platforms for this application have motivated limited-memory techniques that can optimize large-scale sensor placement problems.
Multimedia Montage - Counterpoint Synthesis of Movies
Authors: Ryotaro Suzuki, Yuichi Iwadate
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

In this paper, we propose "Multimedia Montage", which is the structural synthesis in time and space of multimedia components, such as movies and sounds, as a new image expression method for communications. In this study, we introduce the counterpoint theory in music to compose movie structures, and we use scripts to describe the structures. The nature of counterpoints lies in the parallelism of autonomous elements and they fit today's multimedia technologies very well. We confirm the effectiveness of our method by making example movies based on the counterpoint theory, developing a prototype system, and conducting movie synthesis experiments using the prototype. Our next goal is to achieve automatic synchronization among multimedia components based on their internal rhythms, which were observed in our experiments.
A Framework for Secure End-to-End Delivery of Messages in Publish/Subscribe Systems
Authors: Shrideep Pallickara, Marlon Pierce, Harshawardhan Gadgil, Geoffrey Fox, Yan Yan, Yi Huang
Venue: Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (2006)

In this paper we present a framework for the secure end-to- end delivery of messages in distributed messaging infrastructures based on the publish/subscribe paradigm. The framework enables authorized publishing and consumption of messages. Brokers, which constitute individual nodes within the messaging infrastructure, also ensure that the dissemination of content is enabled only for authorized entities. The framework includes strategies to cope with attack scenarios such as denial of service attacks and replay attacks. Finally, we include experimental results from our implementation.
MicroRolls: expanding touch-screen input vocabulary by distinguishing rolls vs. slides of the thumb
Authors: Anne Roudaut, Eric Lecolinet, Yves Guiard
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

The input vocabulary for touch-screen interaction on handhelds is dramatically limited, especially when the thumb must be used. To enrich that vocabulary we propose to discriminate, among thumb gestures, those we call MicroRolls, characterized by zero tangential velocity of the skin relative to the screen surface. Combining four categories of thumb gestures, Drags, Swipes, Rubbings and MicroRolls, with other classification dimensions, we show that at least 16 elemental gestures can be automatically recognized. We also report the results of two experiments showing that the roll vs. slide distinction facilitates thumb input in a realistic copy and paste task, relative to existing interaction techniques.
Motion Statistics Based Region Merging in Video Sequences
Authors: Hieu T. Nguyen, Marcel Worring, Anuj Dev
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

An important step in most techniques for video segmentation is the merging of regions having similar motion. We propose a new motion-based similarity measure between regions that explicitly incorporates uncertainty in the estimation of motion parameters. A new hierarchical merging algorithm using this measure is developed. The robustness of the proposed algorithm has been confirmed by experiments on both artificial and real data. A comparative analysis showed improved performance over other methods.
An adaptive-evolution-based quantum-inspired evolutionary algorithm for QoS multicasting in IP/DWDM networks
Authors: Huanlai Xing, Yuefeng Ji, Lin Bai, Xin Liu, Zhijian Qu, Xiaoling Wang
Venue: Computer Communications (2009)

This paper investigates least-cost QoS multicast routing problem in IP/DWDM optical networks, and proposes an improved evolutionary algorithm (AEQEA). Based on quantum-inspired evolutionary algorithm (QEA) with quantum rotation gate strategy, AEQEA introduces adaptive evolution mechanism (AEM), which allows each chromosome in a population to update itself to a fitter position according to its own situation. In term of this mechanism, AEQEA can significantly improve its capability of exploration and exploitation, since every chromosome is able to be allocated with suitable evolutionary parameters before each update. A repair method is applied to eliminate illegal graphs as many as possible hence more excellent solutions will appear in each evolutionary generation. Simulations are carried out over a number of network topologies. And the results show that, for the QoS multicasting problem, AEQEA outperforms other existing heuristic algorithms and is characterized by robustness, high success ratio, fast convergence and excellent capability on global searching.
Generalized access control of synchronous communication
Authors: Constantin Serban, Naftaly Minsky
Venue: Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware (2006)

The security of modern networked applications, such as the information infrastructure of medical institutions or commercial enterprises, requires increasingly sophisticated access control (AC) that can support global, enterprise-wide policies that are sensitive to the history of interaction. The Law-Governed Interaction (LGI) mechanism supports such policies, but so far only for asynchronous message passing communication. This paper extends LGI to synchronous communication, thus providing advanced control over this important and popular mode of communication. Among the novel characteristics of this control are: the regulation of both the request and the reply, separately, but in a coordinated manner; regulated timeout capability provided to clients, in a manner that takes into account the concerns of their server; and enforcement on both the client and server sides.
A spreadsheet-based decision support tool for blending problems in brass casting industry
Authors: Umit Sami Sakalli, Burak Birgoren
Venue: Computers and Industrial Engineering (2009)

This paper has discussed development and implementation of spreadsheet-based decision support tools for modeling and solving blending problems in a large-scale brass factory in Turkey. The user interfaces have been designed in Microsoft Excel which is linked with Lingo modeling language and optimizer. One decision support tool was developed from a single-blend LP model and has been in use at the foundry; it is run several times a day by foremen to obtain optimal raw material quantities for melting operations. That the users were foremen without any engineering and optimization background posed a serious challenge to produce a decision support tool that is easily applicable at the foundry, for which spreadsheet interfaces have produced an effective solution. The paper has elaborated on difficulties faced in the development and implementation and their solutions as well as design of the interface. A similar tool has also been developed for master production planning, which has not been put to use yet. Issues have been discussed regarding its integration into the production planning system and its relationship with the single-blend tool.
Design and optimization of three-dimensional extrusion dies, using constraint optimization algorithm
Authors: Nadhir Lebaal, Fabrice Schmidt, Stephan Puissant
Venue: Finite Elements in Analysis and Design (2009)

Balancing the distribution of flow through a die to achieve a uniform velocity distribution is the primary objective and one of the most difficult tasks of extrusion die design. If the manifold in a Coat-hanger die is not properly designed, the exit velocity distribution may be not uniform; this can affect the thickness across the width of the die. Yet, no procedure is known to optimize the coat hanger die with respect to an even velocity profile at the exit. While optimizing the exit velocity distribution, the constraint optimization algorithm used in this work enforced a limit on the maximum allowable pressure drop in the die; according to this constraint we can control the pressure in the die. The computational approach incorporates three-dimensional finite element simulations software Rem3D^(R) and includes an optimization algorithm based on the global response surfaces with the Kriging interpolation and SQP algorithm within an adaptive strategy of the search space to allow the location of the global optimum with a fast convergence. The optimization results which represent the best die design are presented according to the imposed constraint on the pressure.
Explaining interfirm cooperative behaviour: three different theories in the Finnish metal industry
Authors: Tero Vuorinen
Venue: International Journal of Networking and Virtual Organisations (2009)

This study examines interfirm cooperation in business networks. The aim of the study is to identify and illustrate how three different organisational theories are involved in the construction process and activities of dyadic organisational relationships in srategic networks, where one focal firm has a dominant position. The theories discussed in this work are Transaction Cost Theory (Tce), the theory of social capital and the Resource-based View (Rbv). The roles of the different theories in the networking process are discussed at a theoretical and an empirical level. The context of the study is the Finnish metal industry. All the theories have explanatory power in the studied context, but they appear to be more useful when applied as a theoretical combination.
Strained Si/SiGe MOS technology: Improving gate dielectric integrity
Authors: S. H. Olsen, L. Yan, R. Agaiby, E. Escobedo-Cousin, A. G. O'Neill, P. -E. Hellström, M. Östling, K. Lyutovich, E. Kasper, C. Claeys, E. H. C. Parker
Venue: Microelectronic Engineering (2009)

Strained Si is recognised as a necessary technology booster for the nanoelectronics regime. This work shows that high levels of stress attainable from globally strained Si/SiGe platforms can benefit gate leakage and reliability in addition to MOSFET channel mobility. Device self-heating due to the low thermal conductivity of SiGe is shown to be the dominating factor behind compromised performance gains in short channel strained Si/SiGe MOSFETs. Novel thin virtual substrates aimed at reducing self-heating effects are investigated. In addition to reducing self-heating effects, the thin virtual substrates provide further improvements to gate oxide integrity, reliability and lifetime compared with conventional thick virtual substrates. This is attributed to the lower surface roughness of the thin virtual substrates which arises due to the reduced interactions of strain-relieving misfit dislocations during thin virtual substrate growth. Good agreement between experimental data and physical models is demonstrated, enabling gate leakage mechanisms to be identified. The advantages and challenges of using globally strained Si/SiGe to advance MOS technology are discussed.
Efficient access to many samall files in a filesystem for grid computing
Authors: Douglas Thain, Christopher Moretti
Venue: Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (2007)

Many potential users of grid computing systems have a need to manage large numbers of small files. However, computing and storage grids are generally optimized for the management of large files. As a result, users with small files achieve performance several orders of magnitude worse than possible. Archival tools and custom storage structures can be used to improve small-file performance, but this requires the end user to change the behavior of the application, which is not always practical. To address this problem, we augment the protocol of the Chirp filesystem for grid computing to improve small file performance. We describe in detail how this protocol compares to FTP and NFS, which are widely used in similar situations. In addition, we observe that changes to the system call interface are necessary to invoke the protocol properly. We demonstrate an order-of-magnitude performance improvement over existing protocols for copying files and manipulating large directory trees.
Wavelet leaders and bootstrap for multifractal analysis of images
Authors: Herwig Wendt, Stéphane G. Roux, Stéphane Jaffard, Patrice Abry
Venue: Signal Processing (2009)

Multifractal analysis is considered a promising tool for image processing, notably for texture characterization. However, practical operational estimation procedures based on a theoretically well established multifractal analysis are still lacking for image (as opposed to signal) processing. Here, a wavelet leader based multifractal analysis, known to be theoretically strongly grounded, is described and assessed for 2D functions (images). By means of Monte Carlo simulations conducted over both self-similar and multiplicative cascade synthetic images, it is shown here to benefit from much better practical estimation performances than those obtained from a 2D discrete wavelet transform coefficient analysis. Furthermore, this is complemented by the original analysis and design of procedures aiming at practically assessing and handling the theoretical function space embedding requirements faced by multifractal analysis. In addition, a bootstrap based statistical approach developed in the wavelet domain is proposed and shown to enable the practical computation of accurate confidence intervals for multifractal attributes from a given image. It is based on an original joint time and scale block non-parametric bootstrap scheme. Performances are assessed by Monte Carlo simulations. Finally, the use and relevance of the proposed wavelet leader and bootstrap based tools are illustrated at work on real-world images.