ppxscal/embedding_network huggingface dataset:
Emotional Evaluation of Color Patterns Based on Rough Sets
Authors: Joonwhoan Lee, Young-Min Cheon, Soon-Young Kim, Eun-Jong Park
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 01 (2007)

If the emotion that a man or woman feels seeing color patterns in average sense can be extracted as rules, the result is useful to make an emotion-based color image retrieval system. This paper shows that the rough set theory provides a convenient tool for the purpose. We collect the emotion data when people see a set of pre-designed random color patterns and extract the coarse rules for the emotional evaluation of the color patterns using VPRS (Variable Precision Rough Set) theory. Those rules can be used not only to approximately evaluate color patterns such as wall papers but also to set the initial conditions for the precise mapping system based on adaptive fuzzy logic from image features to emotion spaces represented by linguistic image scales.
Five perspectives on computer game history
Authors: Daniel Pargman, Peter Jakobsson
Venue: interactions (2007)

This column on computer game history, from the perspective of the gaming industry, complements the column from the last issue on the history of virtual worlds. I met Daniel Pargman, then a graduate student studying multiplayer games, exactly ten years ago. He told me that one day there would be a research field dedicated to online games, and he planned to be there. The field is indeed emerging, with Daniel as a major contributor.---Jonathan Grudin, column editor
Extended support vector interval regression networks for interval input-output data
Authors: Chen-Chia Chuang
Venue: Information Sciences: an International Journal (2008)

In many applications, it is natural to use interval data because of uncertainty existence in the measurements, variability in defining terms (such as the temperature during a given day), description for extremely behavior (such as the maximum wind speed in a given area), etc. In order to handle such interval data, a novel approach, called the interval support vector interval regression networks (ISVIRNs), is proposed. The ISVIRNs is extended from our previous work, the support vector interval regression networks; SVIRNs. It is easy to find that SVIRNs can handle interval output data, but for input data, they must be crisp. In this study, the Hausdorff distance is employed as the distance measure of interval data and is incorporated into the kernel functions of SVIRNs to determine the initial structure of ISVIRNs. Because the proposed approach can provide a better initial structure for ISVIRNs, it can have a faster convergent speed. The experimental results with real data sets show the validity of the proposed ISVIRNs.
Quorum sensing and self-stopping worms
Authors: Ryan Vogt, John Aycock, Michael J. Jacobson
Venue: Proceedings of the 2007 ACM workshop on Recurring malcode (2007)

Random-scanning worms can be adapted, without a complex overlay control network, to stop their scanning activity once a certain percentage of all vulnerable hosts have been infected. This modification makes a worm more difficult to detect for a defender. This paper examines the theoretical concept of a perfect self-stopping algorithm, and discusses some of the limitations of Ma et al.'s Sum-Count-X self-stopping mechanism [7]. An alternative self-stopping mechanism based on the bacterial mechanism of quorum sensing [4] is suggested, and its feasibility is explored via simulation. Possible counter-measures to this new mechanism are also discussed
Enhancing VR-based visualization with a 2D vibrotactile array
Authors: Christoph W. Borst, Vijay B. Baiyya
Venue: Proceedings of the 2007 ACM symposium on Virtual reality software and technology (2007)

We discuss methods to enable haptic visualization on vibrotactile arrays. Our work is motivated by the potential for a tactile array to provide an additional useful channel for information such as location cues related to dataset features or remote user behaviors. We present a framework for array rendering and several specific techniques. Novel aspects of our work include the example application of a palm-sized tactile array to visualize dataset features or remote user state in a VR system, a generalized haptic glyph mechanism for 2D tactile arrays, and the extension of graphical visualization techniques to haptics (glyphs, fisheye distortion, spatial anti-aliasing, gamma correction).
Electronic defects in LaAlO3
Authors: K. Xiong, J. Robertson, S. J. Clark
Venue: Microelectronic Engineering (2008)

We present calculations of the energy levels of the oxygen vacancy, the Al"L"a antisite and the oxygen interstitial defects in LaAlO"3 using density functional methods that do not need an empirical bandgap correction. The levels are aligned to those of the Si channel using the known band offsets. The oxygen vacancy gives an energy level near the LaAlO"3 conduction band and above the Si gap. It is identified as the main electron trap and a cause of instability. There is only one vacancy level in the gap, because the higher second level lies within the La conduction band. The Al"L"a antisite gives a state near midgap, neutral when empty, which would be an important trap, with no counterpart in HfO"2.
Web-Based Interface Architecture for the Improvement of Accessibility to Computational Resources on a Cluster System
Authors: Huioon Kim, Kyungwon Chun, Kil Su Jung, Youngjoo Chung
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

In this paper, we propose the architecture of a web- based interface for the improvement of accessibility to computational resources on a cluster system. If using the web-based interface implemented by this architecture, scientists who want to do a scientific simulation or a theoretical calculation requiring very high performance and using parallel programming concept can use the computational resources on the cluster system easier than shell interface or something likes the text-based interface. Of course, for users who are familiar with such a text-based interface, shell environment through the web is also provided by virtual network computing technology. Our architecture is composed of 6 layers, and each layer has several components. This 6-layered architecture provides interoperability and flexibility between the components. We also describe the use case of this architecture and the several accompanied advantages. The implementation of simple prototype by the use case is also presented in this paper.
Adaptive Neuro-Fuzzy Friction Compensation Mechanism to Robotic Actuators
Authors: Celiane C. Machado, Sebastiao C. P. Gomes, Alavaro L. de Bortoli, Daniel S. Guimaraes, Vitor I. Gervini, Vagner S. da Rosa
Venue: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications (2007)

This paper presents a non-linear friction compensation mechanism using a combination of neural network (NN) with fuzzy system (neuro-fuzzy compensator), applied to harmonic-drive robotic actuators. The friction compensation torque is constituted by NN output, which is trained off-line. Since the friction changes significantly over time, temperature and equipment operational conditions, the NN loses its performance. To recover this performance, a fuzzy algorithm is proposed to deal with the variation friction parameters. The output of the fuzzy algorithm is a gain that multiplied by the NN output will adjust the friction compensation torque. Experimental results have shown the efficiency of the proposed mechanism.
A Scalable Framework for Defect Isolation of DNA Self-assemlbled Networks
Authors: Masura Fakushi, Susumo Horiguchi, Luke Demoracski, Fabrizio Lombardi
Venue: Proceedings of the 22nd IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (2007)

This paper presents and evaluates an approach for defect isolation of DNA self-assembled networks made of a large number of processing nodes. A previous framework based on a broadcast algorithm isolates defective nodes by using no redundancy (for the nodes) and an external defect map. Its disadvantage is the limited scalability, thus making it unsuitable for extremely large scale networks built through DNA self-assembly. Our framework improves upon the previous framework by involving three algorithmic!tiers; namely, I -hop wave expansion, eficient via placement, and unsafe node defection. The eficiency of the proposed framework is evaluated and compared with the original framework by considering large scale networks (up to 1000 x 1000 nodes), and a novel gross defect model (as well as the conventional random defect model assumed in previous manuscripts). Simulation results indicate that the proposed framework outperforms the original framework in broadcast latency and coverage, and shows excellent scalability features for DNA self-assembled nano-scale networks.
Subframe Interpolation Optimized Coding of LSF Parameters
Authors: Linliang Chen, Yanping Yu, Kuang Wang
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01 (2007)

In many speech coding systems, frames are further divided into subframes. The line spectral frequency (LSF) parameters of each subframe are used to construct the linear predictive coding (LPC) synthesis filter but only the LSF parameters of the last subframe in each frame are quantized and transmitted while those of others are obtained by interpolating in decoder. Conventional coding schemes are designed to try to minimize the spectral distortion of the quantized LSF vectors without considering those of interpolated ones. However, a considerable performance could be gained by exploiting this subframe interpolation operation. This paper presents a novel and efficient LSF coding approach. The proposed subframe-weighted LSF distance measure allows a coder to improve the LSF coding performance over all subframes of all frames. Simulation results show that both average spectral distortion (SD) and outliers of the proposed algorithm are improved. Therefore it is more excellent than conventional ones.
Network Situational Assessment and Automatic Policy Change
Authors: Luis Servin, Till Dorges
Venue: IT Professional (2007)

The Policy-based Security Tools and Framework (Positif) project assesses a network's current security situation and takes actions to maintain it in optimal conditions, using input from devices scattered throughout the network.
Software architecture for a pattern based Question Answering system
Authors: Liu Xiaoli, Wu Guoqing, Jiang Min, Yang Min, Wang Weiming
Venue: Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications (2007)

Software architecture is important to software development and it affects the cost and quality of software. Today the diverse Question Answering (QA) system is pervasive, except for simple architectures developed for industry use there is almost no universal software architecture which exists for question answering system, especially for research use. In this paper, we proposed a semantic pattern based user-interactive question answering system and new research-intended software architecture for the question answering system. Here the semantic pattern is used for question and answer analysis to improve the correctness of extracted answers. The architecture of the question answering system is a three dimensional one, with one dimension used for system optimization and experimentation. Through the implementation of the architecture, we can clearly comprehend the principles and software architecture of our QA system.
VHSIC Systems and Technology
Authors: D. F. Barbe
Venue: Computer (1981)

Because very-high-speed ICs are in the early stages of development, this discussion focuses on the technological challenges of scaling to smaller dimensions. 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
A Method with Fault-Tolerance for Resource Reservation in Service-Oriented Grid Environment
Authors: Quan Liang, Yang Yang, Li Liu
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 04 (2007)

Based on service-oriented grid environment,the paper put forward a method of resource reservation which to construct a Resource Reservation Tree(RRT).If the resource reserved before turns into invalidation,the substitute can be found directly in RRT and needn't to initiate a process of discovery and negotiation again.The method can avoid a failure of resource reservation and advance its reliability.Furthermore,three strategies of reservation were designed according to different QoS requirements of users',on the basis of which,the algorithm TTL-RTA based on RRT was presented in the paper.Related performance analysis and simulations for the algorithm indicate better efficiency and reliability.
A Method for Uncertain Linguistic Multiple Attribute Decision Making with Incomplete Weight Information
Authors: Gui-Wu Wei, Wen-De Yi
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02 (2007)

The aim of this paper is to investigate the multiple attribute decision making problems with uncertain linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of uncertain linguistic variables. We establish an optimization model based on the maximizing deviation method, by which the attribute weights can be determined. By solving this model, we get a simple and exact formula, which can be used to determine the attribute weights. We utilize the uncertain linguistic weighting average (ULWA) operator to aggregate the uncertain linguistic variables corresponding to each alternative, and then rank the alternatives by means of the aggregated linguistic information. Finally, an example is shown to highlight the procedure of the proposed algorithm at the end of this paper.
Congestion Control Model Based on Hop-by-hop Feedback for Active Networks
Authors: Nie Fei, Li Zeng-zhi
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03 (2007)

Active nodes need conduct more computing, which makes transport delay of active packets increases. Traditional end-to-end congestion control mechanism is unfit for active networks under some conditions. To solve the problem, a congestion control mechanism based on hop-by-hop feedback is proposed in the paper, in which the utilization of active node computing resources can be affected by feedback information. Analysis shows active nodes response rapidly to congestion, and correlative nodes can cooperate for congestion recovery. Simulation experiments express that the scheme is efficient for congestion control when there are not enough computing resources in active nodes.
Prediction of Gas Emission Volume Based on Wavelet Neural Network
Authors: Li Gao, Yanjun Hu, Guizhen Chen, Hongzhen Yu
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

An accurate prediction of gas emission volume under the shaft is the premise for the prevention of gas explosion. To more accurately predict the gas emission volume, a novel wavelet neural network is proposed in this paper. First, a new structure of wavelet neural network is established. This structure is a kind of compact metric structure, in which the Daubechies wavelet is adopted. And then genetic algorithm is used to study the weight of wavelet neural network. The simulation experiment shows the gas emission volume is non-linear time series. Finally, the experiment shows the predicted result made by wavelet neural network is more accurate than that made by BP neural network. Besides, this novel method can shorten the learning time and quicken the learning speed.
Human assisted robotic team campaigns for aquatic monitoring: Field Reports
Authors: Amarjeet Singh, Michael J. Stealey, Victor Chen, William J. Kaiser, Maxim Batalin, Yeung Lam, Bin Zhang, Amit Dhariwal, Carl Oberg, Arvind Pereira, Gaurav S. Sukhatme, Beth Stauffer, Stefanie Moorthi, Dave Caron, Mark Hansen
Venue: Journal of Field Robotics (2007)

Large-scale environmental sensing, e.g., understanding microbial processes in an aquatic ecosystem, requires coordination across a multidisciplinary team of experts working closely with a robotic sensing and sampling system. We describe a human-robot team that conducted an aquatic sampling campaign in Lake Fulmor, San Jacinto Mountains Reserve, California during three consecutive site visits (May 9&ndash;11, June 19&ndash;22, and August 28&ndash;31, 2006). The goal of the campaign was to study the behavior of phytoplankton in the lake and their relationship to the underlying physical, chemical, and biological parameters. Phytoplankton form the largest source of oxygen and the foundation of the food web in most aquatic ecosystems. The reported campaign consisted of three system deployments spanning four months. The robotic system consisted of two subsystems&mdash;NAMOS (networked aquatic microbial observing systems) comprised of a robotic boat and static buoys, and NIMS-RD (rapidly deployable networked infomechanical systems) comprised of an infrastructure-supported tethered robotic system capable of high-resolution sampling in a two-dimensional cross section (vertical plane) of the lake. The multidisciplinary human team consisted of 25 investigators from robotics, computer science, engineering, biology, and statistics.We describe the lake profiling campaign requirements, the robotic systems assisted by a human team to perform high fidelity sampling, and the sensing devices used during the campaign to observe several environmental parameters. We discuss measures taken to ensure system robustness and quality of the collected data. Finally, we present an analysis of the data collected by iteratively adapting our experiment design to the observations in the sampled environment. We conclude with the plans for future deployments. &copy; 2007 Wiley Periodicals, Inc.
Detection of Mutual Inconsistency in Distributed Systems
Authors: D. S. Parker
Venue: IEEE Transactions on Software Engineering (1983)

Many distributed systems are now being developed to provide users with convenient access to data via some kind of communications network. In many cases it is desirable to keep the system functioning even when it is partitioned by network failures. A serious problem in this context is how one can support redundant copies of resources such as files (for the sake of reliability) while simultaneously monitoring their mutual consistency (the equality of multiple copies). This is difficult since network faiures can lead to inconsistency, and disrupt attempts at maintaining consistency. In fact, even the detection of inconsistent copies is a nontrivial problem. Naive methods either 1) compare the multiple copies entirely or 2) perform simple tests which will diagnose some consistent copies as inconsistent. Here a new approach, involving version vectors and origin points, is presented and shown to detect single file, multiple copy mutual inconsistency effectively. The approach has been used in the design of LOCUS, a local network operating system at UCLA.
Proposition for E-DoD: An Overall Plan for Network-Centric Operation
Authors: Raymond A. Paul
Venue: Proceedings of the Seventh International Conference on Quality Software (2007)

DoD currently has a crisis of software economics. As software becomes complex, our ability to design,develop, produce, distribute, and maintain software isbeing increasingly challenged. This crisis shows every sign of deepening in the future.
A Human-Centric Off-Line Signature Verification System
Authors: H. Coetzer, R. Sabourin
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01 (2007)

The manual signature-based authentication of a large number of documents is a laborious and time-consuming task. Consequently many off-line signature verification sys- tems were recently developed. In this paper we propose a human-centric system, which exploits the synergy between human and machine capabilities, and show that this com- bined system can perform better (than humans or a ma- chine) for almost all operating costs. The combination stra- tegy is based on techniques in receiver operating charac- teristics (ROC) analysis. We conduct an experiment on a data set that contains 765 test signatures from 51 writers, and record the performance of 23 human classifiers, and that of a hidden Markov model-based (HMM-based) clas- sifier, in ROC space. We propose that a manager (human or machine) specifies acceptable operating costs (Neyman- Pearson criterion), after which our human-centric system makes an optimal decision by utilizing the maximum attain- able combined classifier.
ZigBee Device Design and Implementation for Context-Aware U-Healthcare System
Authors: J. Y. Jung, J. W. Lee
Venue: Proceedings of the Second International Conference on Systems and Networks Communications (2007)

Ubiquitous healthcare systems have the potential to provide cheaper and smarter ways to manage and care for patients suffering from age-related chronic diseases. In the ubiquitous healthcare system (U-healthcare system), sensor devices for measuring a bio signal or environment information may communicate with the mobile system for collecting bio signals and environment information by wireless personal area network(WPAN) such as ZigBee. Zigbee device in WPAN needs a specific function for U-healthcare application. We propose a dynamic management method and a healthcare profile for U-healthcare system.
Dynamic Rematerialization: Processing Distributed Queries Using Redundant Data
Authors: E. Wong
Venue: IEEE Transactions on Software Engineering (1983)

In this paper an approach to processing distributed queries that makes explicit use of redundant data is proposed. The basic idea is to focus on the dynamics of materialization, defined as the collection of data and partial results available for processing at any given time, as query processing proceeds. In this framework the role of data redudancy in maximizing parallelism and minimizing data movement is clarified. What results is not only the discovery of new algorithms but an improved framework for their evaluation.
Analyzing Software Performance in a Multiprocessor Environment
Authors: C. Maples
Venue: IEEE Software (1985)

Efficient multiprocessing requires new methods of problem decompositionand new debugging and analysis tools for developing and evaluating asynchronous, parallel programs. 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
Workshop Report: The Science of Design
Authors: M. J. ,  Jr. Gonzalez
Venue: Computer (1979)

Design can be approached scientifically. However, before a formal science of can be developed, several principles must be established, including the continuous nature of the design verification process.