ppxscal/embedding_network huggingface dataset:
Constructing a Simple Visually-Guided Robotic Part-Grasping System with Off-the-Shelf Components
Authors: Sebastian van Delden
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

A novel approach to grasping and recognizing parts in an industrial robotic work cell is presented in this paper. The centroid, orientation, and length of elongated parts lying on a flat work area are estimated by a sequence of simple algorithms. Off-theshelf components and freely downloadable software APIs make this system inexpensive and easily implemented. The approach has been implemented and tested with a Stäubli RX60 manipulator. Results and future research are presented.
TTDD: two-tier data dissemination in large-scale wireless sensor networks
Authors: Haiyun Luo, Fan Ye, Jerry Cheng, Songwu Lu, Lixia Zhang
Venue: Wireless Networks (2005)

Sink mobility brings new challenges to data dissemination in large sensor networks. It suggests that information about each mobile sink's location be continuously propagated throughout the sensor field in order to keep all sensors informed of the direction of forwarding future data reports. Unfortunately, frequent location updates from multiple sinks can lead to both excessive drain of sensors' limited battery supply and increased collisions in wireless transmissions. In this paper, we describe TTDD, a Two-Tier Data Dissemination approach that provides scalable and efficient data delivery to multiple, mobile sinks. Each data source in TTDD proactively constructs a grid structure, which enables mobile sinks to continuously receive data on the move by flooding queries within a local cell only. TTDD's design exploits the fact that sensors are stationary and location-aware to construct and maintain the grid infrastructure with low overhead. We evaluate TTDD through both analysis and extensive simulations. Our results show that TTDD handles sink mobility effectively with performance comparable with that of stationary sinks.
Enabling seamless multimedia wireless access through QoS-based bandwidth adaptation: Research Articles
Authors: Nidal Nasser, Hossam Hassanein
Venue: Wireless Communications Mobile Computing (2007)

Effective support of real-time multimedia applications in wireless access networks, viz. cellular networks and wireless LANs, requires a dynamic bandwidth adaptation framework where the bandwidth of an ongoing call is continuously monitored and adjusted. Since bandwidth is a scarce resource in wireless networking, it needs to be carefully allocated amidst competing connections with different Quality of Service (QoS) requirements. In this paper, we propose a new framework called QoS-adaptive multimedia wireless access (QoS-AMWA) for supporting heterogeneous traffic with different QoS requirements in wireless cellular networks. The QoS-AMWA framework combines the following components: (i) a threshold-based bandwidth allocation policy that gives priority to handoff calls over new calls and prioritizes between different classes of handoff calls by assigning a threshold to each class, (ii) an efficient threshold-type connection admission control algorithm, and (iii) a bandwidth adaptation algorithm that dynamically adjusts the bandwidth of an ongoing multimedia call to minimize the number of calls receiving lower bandwidth than the requested. The framework can be modeled as a multi-dimensional Markov chain, and therefore, a product-form solution is provided. The QoS metrics&mdash;new call blocking probability (NCBP), handoff call dropping probability (HCDB), and degradation probability (DP)&mdash;are derived. The analytical results are supported by simulation and show that this work improves the service quality by minimizing the handoff call dropping probability and maintaining the bandwidth utilization efficiently. Copyright &copy; 2006 John Wiley & Sons, Ltd.
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study
Authors: Xu-Ying Liu, Zhi-Hua Zhou
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

In real-world applications the number of examples in one class may overwhelm the other class, but the primary interest is usually on the minor class. Cost-sensitive learning has been deeded as a good solution to these class-imbalanced tasks, yet it is not clear how does the class-imbalance affect cost-sensitive classifiers. This paper presents an empirical study using 38 data sets, which discloses that class-imbalance often affects the performance of cost-sensitive classifiers: When the misclassification costs are not seriously unequal, cost-sensitive classifiers generally favor natural class distribution although it might be imbalanced; while when misclassification costs are seriously unequal, a balanced class distribution is more favorable.
Data-Driven Publication of Relational Databases
Authors: Sonia Guehis, Philippe Rigaux, Emmanuel Waller
Venue: Proceedings of the 10th International Database Engineering and Applications Symposium (2006)

The paper presents a framework for publishing relational databases in textual documents such as mails, HTML pages, LATEX or BibTex files, plain texts, etc. The publication process relies on a mapping of the relational database to a virtual data graph which supports navigation operators. Applications can express the data they need by navigating in the graph. These operations are provided by a declarative query language over virtual graphs, named DOCQL. We illustrate its features with the conference management system MYREVIEW.
Stability of the solutions of systems of second-order differential equations
Authors: I. V. Boikov
Venue: Automation and Remote Control (2006)

Criteria for stability of the solutions of systems of linear and nonlinear ordinary second-order differential equations were proposed relying on the studies of the spectra and logarithmic norms of the families of specially constructed matrices. Obtained were the stability criteria for systems of linear second-order differential equations expressed in terms of the coefficients at unknown functions and their first derivatives.
Multiple Classifiers Combination Based on Specialists' FIelds
Authors: Pengtao Jia, Huacan He, Wei Lin
Venue: Proceedings of the Fifth Mexican International Conference on Artificial Intelligence (2006)

This paper proposes a new method to combine the predictions of different classifiers in order to improve the error rate of a single classifier. The method consists of training different classifiers plus an integration mechanism that for a given case (to be classified) selects the best classifier (the Specialist) that should classify it. The idea of our model is derived from diagnosing flow in hospital. At first, n methods are adopted to train single classifier and gain n classifiers, and every classifier is called as Specialist. Then using the training set to test every Specialist, we gain n Specialists' fields according the result of classification of every Specialist. For an unknown sample, we assign it to which Specialist's field it belongs to, and select the Specialist on that field to classify this sample. We use UCI standard datasets to test our model, according to experiments our algorithm leads to less error and better performance than other algorithms.
Fully dynamic recognition algorithm and certificate for directed cograph
Authors: C. Crespelle, C. Paul
Venue: Discrete Applied Mathematics (2006)

This paper presents an optimal fully dynamic recognition algorithm for directed cographs. Given the modular decomposition tree of a directed cograph G, the algorithm supports arc and vertex modification (insertion or deletion) in O(d) time where d is the number of arcs involved in the operation. Moreover, if the modified graph remains a directed cograph, the modular decomposition tree is updated; otherwise, a certificate is returned within the same complexity.
Comparing Personal Portfolio Strategies by Genetic Algorithm Mixed with Association Rules
Authors: Jui-Fang Chang
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

In this article, we utilize the genetic algorithm(GA)mixed with association rules (AR) to determine the optimal personal portfolio strategy in the complicated stock market of Taiwan. According to the investors.. preference, the size of fund, the period of investment and financial ratio, etc., a portfolio which is fitted to the personality of the investor and optimal return is proposed here. We analyze the data of Taiwan stock market during the period between 1991 and 1997. By comparing the portfolio strategies determined by GA and by GA combined with RA (GA-RA), we conclude that the latter could provide a better portfolio for return on investment (ROI) and an improved execution rate than those of the former.
Coordination in a supply chain for bulk chemicals
Authors: Henk de Swaan Arons, Eelco van Asperen, Rommert Dekker, Mark Polman
Venue: Proceedings of the 36th conference on Winter simulation (2004)

A chemical plant in The Netherlands uses large annual supplies of a bulk chemical. A number of suppliers deliver their parcels from overseas by short sea vessel to a transshipment point where they are stored using a tank farm. Transportation from the transshipment point to the plant takes place by barge. Coordination of the schedules of vessels and barge provides the opportunity for board to board loading. Board to board loading provides clear benefits for the plant's operator, as it requires less handling and intermediate storage at the transshipment point. We demonstrate this by experiments conducted with a simulation model. The results are confirmed by analytical means.
The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System
Authors: Ekaterina Vasilyev, Mykola Pechenizkiy, Seppo Puuronen
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based learning systems (WBLS), feedback is particularly important in test and evaluation tasks. The main objective of the paper is twofold: (1) to encourage WBLS designers and specialists to pay more attention to the problem of feedback adaptation, and (2) to analyze suggestions for feedback personalization to learning styles in a WBLS.
Adaptive Working Window for Impulse Noise Reduction
Authors: Thou-Ho(Chao-Ho) Chen, Shi-Feng Huang, Chao-Yu Chen, Zhi-Hong Lin
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

In this paper, we propose an effective method to choose an adaptive working window for impulse noise reduction. Every pixel has the pixel-correlation between itself and its neighbor pixels in an image. Based on the pixel-correlation, we define a formula to gather the statistics for impulse noise intensity estimation. Because the image corrupted by impulse noise would degrade the pixel-correlation, a simple rule is introduced for different median-based filters which are developed with adaptive working window to reduce impulse noise. The reported multi-state median (MSM) filter and switching median (SM) filter are simulated with the simple rule. The experimental results show that our method would improve the reliability of MSM filter and SM filter for impulse noise reduction.
Computer-supported collaborative video analysis
Authors: Roy Pea, Robb Lindgren, Joseph Rosen
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Video can serve as a powerful medium for analyzing interactions involved in learning activities, for capturing records of teaching for uses in professional development, and for learners to construct or interact with videos expressively, but there have been many barriers to its collaborative uses. The DIVER Project is tackling core problems in advancing computer-supported collaborative video analysis. DIVER establishes a unique video platform for users to control a "virtual camera window" on a computer for guiding noticing to parts of a video of interest as the video is playing---then to text annotate these moments, and publish them on the web for further collaborative analysis. Every DIVER user---researcher, teacher, or learner---can thus express their visual and interpretive point of view on a video, providing an important and accessible tool for making a difference in our research and education. Ongoing studies of learning research and higher education applications using DIVER are discussed.
Towards automatic verification of Erlang programs by π-calculus translation
Authors: Chanchal Kumar Roy, Thomas Noll, Banani Roy, James R. Cordy
Venue: Proceedings of the 2006 ACM SIGPLAN workshop on Erlang (2006)

ERLANG is a concurrent, dynamically typed, distributed, purely functional programming language with non-purely functional libraries that is mainly employed in telecommunication systems. This paper provides a contribution to the formal modeling and verificationn of programs written in Erlang. It presents a mapping of Erlang programs to the π-calculus, a process algebra whose name-passing feature allows representation of the mobile aspects of software written in Erlang in a natural way.
On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels: Research Articles
Authors: Karmeshu, Rajeev Agrawal
Venue: Wireless Communications Mobile Computing (2007)

For studying performance characteristics of radio channels, the knowledge about the probability density function (pdf) of fading&ndash;shadowing effects is essential. K-distribution corresponding to Rayleigh&ndash;gamma distribution (RGD) is widely used to approximate a more realistic Rayleigh&ndash;lognormal distribution (RLD) which does not have a closed form expression. A new composite Rayleigh-inverse Gaussian distribution (RIGD), an alternative to K-distribution, is analyzed with regards to its suitability and effectiveness in radio channels. Detailed investigations are made to study the performance characteristics of RIGD and K-distribution (RGD) in terms of Kullback&ndash;Leibler (KL) measure of divergence. Based on these investigations, it is found that RIGD is better suited for capturing fading&ndash;shadowing aspects of radio channels instead of K-distribution. Copyright &copy; 2006 John Wiley & Sons, Ltd.
Research on Informationalization Management and Service Platform for the Real Estate Projects in Shanghai
Authors: Xufeng Ling, Changrui Yu, Yan Luo
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Nowadays, with the appearance of E-government affair, the requirement of realizing online application and approval (i.e. one-stop examination and approval) by means of information and network technology has been gaining more and more government attention. For real estate construction projects, many problems (such as too many approval links, abundant and complicated examination and approval procedures, long time to wait for approvals, etc.) hinder a high-speed and continuous development of the real estate industry in Shanghai. As a transformation of government service mode, information management and service platform of real estate construction projects in Shanghai reflects an innovation in management and decision mode in Net-era, i.e. to reform the old serial artificial approval mode and change it into one-stop approval system based on network. Firstly, the operational requirements of the informationalization management and service platform for the real estate projects in Shanghai are discussed in the paper. Then, this paper proposes that the platform structure is composed of three hierarchies: the hierarchy of online service, the hierarchy of examination, approval and dispatch, and the hierarchy of the internal operation disposal. Finally, the structures and the specific functions of each hierarchy are analyzed.
Design and Realization of Network Video Server Based on Single DSP
Authors: Qichang Duan, Yi Tang, Congli Zhang
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Presented a new network video server design programme. It is based on ADI (Analog Devices, Inc.) company's dual-code new DSP chip Blackfin561. It realized the performance of video images collecting, processing, and network transmission. Only used one DSP chip is the main feature of this system. Some new technologies, such as H.264 video coding, uCLinux embedded operating system and so on, were used too. The experiment results show that system with high real-time, stable, less power consume and low cost. This paper mainly introduce both software and hardware aspects of the system.
Standard Noether normalizations of the graph subring
Authors: Florian Luca, Rita Zuazua
Venue: Journal of Algebraic Combinatorics: An International Journal (2006)

In this paper, we confirm a conjecture of Alcántar by showing that graph subrings always admit standard Noether normalizations.
Subliminal Convergence of Kanji and Kana Words: Further Evidence for Functional Parcellation of the Posterior Temporal Cortex in Visual Word Perception
Authors: Kimihiro Nakamura, Stanislas Dehaene, Antoinette Jobert, Denis Le Bihan, Sid Kouider
Venue: Journal of Cognitive Neuroscience (2005)

Recent evidence has suggested that the human occipitotemporal region comprises several subregions, each sensitive to a distinct processing level of visual words. To further explore the functional architecture of visual word recognition, we employed a subliminal priming method with functional magnetic resonance imaging (fMRI) during semantic judgments of words presented in two different Japanese scripts, Kanji and Kana. Each target word was preceded by a subliminal presentation of either the same or a different word, and in the same or a different script. Behaviorally, word repetition produced significant priming regardless of whether the words were presented in the same or different script. At the neural level, this cross-script priming was associated with repetition suppression in the left inferior temporal cortex anterior and dorsal to the visual word form area hypothesized for alphabetical writing systems, suggesting that cross-script convergence occurred at a semantic level. fMRI also evidenced a shared visual occipito-temporal activation for words in the two scripts, with slightly more mesial and right-predominant activation for Kanji and with greater occipital activation for Kana. These results thus allow us to separate script-specific and script-independent regions in the posterior temporal lobe, while demonstrating that both can be activated subliminally.
Incontrol Enterprise Dynamics: Falcon
Authors: Fred Jansma
Venue: Proceedings of the 37th conference on Winter simulation (2005)

The Enterprise Dynamics Falcon edition is the flagship of the Enterprise Dynamics simulation platform range. We will present our latest developments in simulation ranging from virtual reality to machine control. If you are ready for the next step in simulation you have to see our ED FALCON: simulation based sales applications-how to use simulation and visualization in helping to sell more and increase profit; automatic Model generation using XML; operational machine control using Profibus; emulation-used more and more in the engineering process to test equipment, shorten implementation time and reduce costs.
Generating interoperability tests for networked media devices
Authors: Srihari Sukumaran
Venue: Proceedings of the XIII Asia Pacific Software Engineering Conference (2006)

Interoperability testing is a key validation activity for networked devices that are to function as part of a larger distributed system. In this paper we describe an approach for generating interoperability tests for networked media devices based on the Universal Plug and Play (UPnP) AV architecture. Our approach is based on constructing formal models of the various entities as specified in the UPnP AV architecture and composing these to form a complete model for a test set-up (as given by the test engineer) and then generating tests from this complete model based on model coverage and well chosen test purposes. We illustrate this for an example test set-up. The tests that we generate are currently being used at our certification test lab. We believe that this approach can be used for similar testing activities in different domains.
Give me a mobile phone, and I will work harder! » Assessing the value of mobile technologies in organizations: an exploratory research
Authors: Isaac Henri, Leclercq Aurelie
Venue: Proceedings of the International Conference on Mobile Business (2006)

Organizations have only recently realized the opportunities offered by the implementation of mobile technologies. Disrupting the spatial and global boundaries of organization, mobile technologies are indeed supposed to bring lots of benefits for organizations. It is now time to confront such supposed benefits to reality in order to know what are the real advantages and opportunities brought by mobile tools within firms. An exploratory empirical study, involving 80 managers in ten French companies, highlights different kinds of advantages and opportunities. This research shows that organizational and individual benefits are tightly intertwined and that each kind of benefits largely relies on the existence of the others. That is why we were led, in support of M.Mauss theoretical perspective, to conclude that the benefits brought by mobile tools in organizational contexts are linked to a "gift counter-gift" logic.
Estimation of the modulation index of CPM signals using higher-order statistics
Authors: J. R. Fonollosa, J. A. R. Fonollosa
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

Three simple methods are proposed for the estimation of the modulation index of continuous phase modulated signals in noise. These methods employ the estimated autocorrelation and fourth-order cumulant sequences of the received signal after sampling at the symbol rate. Analytic expressions are derived for the asymptotic mean and variance of the estimated parameters which are corroborated by means of Monte Carlo simulations. The performance of the methods is illustrated graphically and numerically. It is concluded that, under significant noise degradation, only the scheme based on the fourth-order cumulant sequence can be used to estimate consistently the modulation index h in the range 0(h(1.
Knowledge map: mathematical model and dynamic behaviors
Authors: Hai Zhuge, Xiang-Feng Luo
Venue: Journal of Computer Science and Technology (2005)

Knowledge representation and reasoning is a key issue of the Knowledge Grid. This paper proposes a Knowledge Map (KM) model for representing and reasoning causal knowledge as an overlay in the Knowledge Grid. It extends Fuzzy Cognitive Maps (FCMs) to represent and reason not only simple cause-effect relations, but also time-delay causal relations, conditional probabilistic causal relations and sequential relations. The mathematical model and dynamic behaviors of KM are presented. Experiments show that, under certain conditions, the dynamic behaviors of KM can translate between different states. Knowing this condition, experts can control or modify the constructed KM while its dynamic behaviors do not accord with their expectation. Simulations and applications show that KM is more powerful and natural than FCM in emulating real world.