ppxscal/embedding_network huggingface dataset:
Quantification in a relational data system
Authors: Norton R. Greenfeld
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

The desire to express interrelationships between symbolic objects has been with us for some time, along with exploration of relationship systems which are operational in a computer. These systems coalesced under the term relational data systems (RDS), and a technology for dealing with this kind of data evolved. Relational systems have been through feasibility tests, experimental usage and should become generally available to the computing community in the near future. The advantages which account for the expanding use of RDSs are a simple, formal definition which allows associative processing, extreme flexibility in both structure and use, an ability to be efficiently implemented, and a notation and conception which is not dependent upon any particular physical data representation.
Algorithm for optimal dimensioning of three phase and mono phase electric power lines implemented in java
Authors: Cristian Abrudean, Manuela Panoiu
Venue: WSEAS Transactions on Computers (2009)

In this paper it was present a Java software package useful for dimensioning of low voltage lines mono phase and three phases (AC and DC). For electric grid modelling it was use tree type. This package software allows the estimation and calculation of parameters of power transmission lines of electric power. The software have a graphical user interface, so the user has the possibility to input of data and other characteristics of the electric line, passing to the calculation stage when the data are correctly and completely entered. It was use a recursive algorithm in order to calculate the total active and reactive currents and the admissible loss voltage based on the users (consumers) characteristics. The output of the results is shown on the screen.
Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods
Authors: M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
Venue: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology (2009)

Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. Experiments on a large set of images demonstrate that the presented method achieves both fast and accurate localization of lesions in dermoscopy images.
Agents Selecting Trustworthy Recommendations in Mobile Virtual Communities
Authors: G. Lenzini, N. Sahli, H. Eertink
Venue: Trust in Agent Societies: 11th International Workshop, TRUST 2008, Estoril, Portugal, May 12 -13, 2008. Revised Selected and Invited Papers (2008)

We propose a trust model for recommender systems in mobile virtual communities that improves the quality of recommendations. High-quality recommendations come from trustworthy recommenders and are supported by convincing (from a user's viewpoint) arguments. Such recommendations match better a user's profile and his/her way of reasoning. We also propose a mobile open multi-agent framework for our model of trust. In this framework each member is represented by an embedded agent, which resides in the user's mobile, and by a delegate agent, which runs in a meeting infrastructure (called Virtual Agora) where it interacts with other delegates. Each delegate builds and maintains two weighted and subjective networks of trust: a register of recommenders of proven (un)trustworthiness and a register of rated items. In our setting, delegates generally prefer opinions that come from their network of recommenders; moreover delegates are able to play argumentation games. The implemented system is also privacy preserving. Agents receive different ratings depending on their trustworthy recommenders and these ratings are not necessarily public. Since we address mobile communities of users, the Virtual Agora is designed to reduce communication traffic between agents. Finally, we illustrate these concepts in a recommender system for restaurants.
A voltage-frequency island aware energy optimization framework for networks-on-chip
Authors: Wooyoung Jang, Duo Ding, David Z. Pan
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

In this paper, we present a partitioning, mapping, and routing optimization framework for energy-efficient VFI (Voltage-Frequency Island) based Network-on-Chip. Unlike the recent work [10] which only performs partitioning together with voltage-frequency assignment for a given mesh network layout, our framework consists of three key VFI-aware components, i.e., VFI-aware partitioning, VFI-aware mapping, and VFI-aware routing. Thus our technique effectively reduces VFI overheads such as mixed clock FIFOs and voltage level converters by over 82% and energy consumption by over 9% compared with the previous state-of-art works [10].
Region Based Image Fusion for Detection of Ewing Sarcoma
Authors: Tanish Zaveri, Mukesh Zaveri
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

In the medical image processing different sources of images are providing complementary information so fusion of different source images will give more details for diagnosis of patients. In this paper an automatic region based image fusion algorithm is proposed which is applied on the registered Magnetic Resonance (MR) image of human brain. The aim of this paper is to detect all the information required for accurate diagnosis of a brain tumor namely, Ewing sarcoma which is simultaneously not available in individual MR images. The proposed region based image fusion method is applied on two types of MR sequence images to extract useful information which is than compared with different pixel based algorithm and the performance of these fusion schemes are evaluated using standard quality assessment parameters. From the analysis of quality assessment parameters we found that our scheme provides better result compared to pixel based fusion scheme. The resultant fused image is assessed and validated by radiologist.
Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression
Authors: Fadi Dornaika, Angel Sappa
Venue: Pattern Recognition Letters (2009)

This paper presents a new technique to the instantaneous 3D motion estimation. The main contributions are as follows. First, we show that the 3D camera or scene velocity can be retrieved from image derivatives only assuming that the scene contains a dominant plane. Second, we propose a new robust algorithm that simultaneously provides the Least Trimmed Square solution and the percentage of inliers-the non-contaminated data. Experiments on both synthetic and real image sequences demonstrated the effectiveness of the developed method. Those experiments show that the new robust approach can outperform classical robust schemes.
Tracking Topic Evolution in News Environments
Authors: Maximilian Viermetz, Michal Skubacz, Cai-Nicolas Ziegler, Dietmar Seipel
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

For companies acting on a global scale, the necessity to monitor and analyze news channels and consumer generated media on the Web, such as weblogs and n newsgroups, is steadily increasing. In particular the identiﬁcation of novel trends and upcoming issues, as well as their dynamic evolution over time, is of utter importance to corporate communications and market analysts. Automated machine learning systems using clustering techniques have only partially succeeded in addressing these newly arising requirements, failing in their endeavor to properly assign short-term hype topics to long-term trends. We propose an approach which allows to monitor news wire on different levels of temporal granularity, extracting key-phrases that reﬂect short-term topics as well as longer-term trends by means of statistical language modelling. Moreover, our approach allows for assigning those windows of smaller scope to those of longer intervals.
A Service Based Development Environment on Web 2.0 Platforms
Authors: Xabier Larrucea, Rafael Fernandez, Javier Soriano, Andrés Leonardo Martínez, Jesus M. Gonzalez-Barahona
Venue: Proceedings of the 1st European Conference on Towards a Service-Based Internet (2008)

Governments are investing on the IT adoption and promoting the so-called e-economies as a way to improve competitive advantages. One of the main government's actions is to provide internet access to the most part of the population, people and organisations. Internet provides the required support for connecting organizations, people and geographically distributed developments teams. Software developments are tightly related to the availability of tools and platforms needed for products developments. Internet is becoming the most widely used platform. Software forges such as SourceForge provide an integrated tools environment gathering a set of tools that are suited for each development with a low cost. In this paper we propose an innovating approach based on Web2.0, services and a method engineering approach for software developments. This approach represents one of the possible usages of the internet of the future.
Early experience with a commercial hardware transactional memory implementation
Authors: Dave Dice, Yossi Lev, Mark Moir, Daniel Nussbaum
Venue: ACM SIGPLAN Notices (2009)

We report on our experience with the hardware transactional memory (HTM) feature of two pre-production revisions of a new commercial multicore processor. Our experience includes a number of promising results using HTM to improve performance in a variety of contexts, and also identifies some ways in which the feature could be improved to make it even better. We give detailed accounts of our experiences, sharing techniques we used to achieve the results we have, as well as describing challenges we faced in doing so.
Results of using internet as an academic tool for learning in the drawing course at the level university
Authors: Doris Stella Avendaño Gelvez
Venue: Proceedings of the 8th WSEAS international conference on Distance learning and web engineering (2008)

This applied research was aimed to determine whether Internet use is effective as learning strategy in a module of engineering drawing. It was determined on the basis of the knowledge and skills in Internet usage, the perception of students toward the course and student achievement. The sample consisted of 70 students who were distributed into two groups, the Experimental Group (EG) and the Control Group (CG); 32 students (45.71%) were female and 38 (54.28%) were males. The results for the profile of students involved in research, both belonging to the CG as in the EG, show that groups were equivalent in the input variables, average age, length of use of computers, average hours a week of Internet use, Internet knowledge and skills in managing the Internet. Regarding the perception of course, the experimental group had a better perception on the student instructional module that the average perception of students in the control group. When comparing the average variable academic achievement among students in the experimental group and the control group, using statistical parametric test Student t, it was determined that there was no significant difference in the average academic performance between groups. However, the results of the average ratings of both groups show that the average scores for students in the EG was 11.88% higher than the average scores for students in the CG. The results showed that the use of the Internet as a tool for academic learning contributes to improving academic performance, but with no significant differences with regard to traditional improve the perception of students on an academic year and reduce the hours of class attendance.
Semantic Mapping for Related Term Identification
Authors: Rafael E. Banchs
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

In this work, we explore the combined use of latent semantic analysis (LSA) and multidimensional scaling (MDS) for identifying related concepts and terms. We approach the problem of related term identification by constructing low-dimensional embeddings where related terms are clustered together, and such clusters are spatially arranged according to the semantic relationships among the terms they include. In this work, we demonstrate the proposed methodology for a specific part-of-speech (verbs) of the Spanish language, by using dictionary-based definitions. We also comment on the future use of this experimental framework in the context of other natural language processing tasks such as opinion mining, topic detection and automatic summarization.
Privacy protection and transborder data flows
Authors: Rein Turn
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

In the last decade there has been a dramatic increase in the growth of internationally operated computer-communication systems. In these systems, in essentially a single continuous operation, data are transmitted from terminals to computers in networks that may span several countries or several continents, the requested processing is performed, and results are returned. In other cases, data files are maintained online in international, remotely accessible networks. These networks are operated by vendors of remote computing and/or information services, industry associations, or private corporations (especially the so-called multinational corporations). Some of the data transmitted in these systems are personal data about individuals.
Iterative Subgraph Mining for Principal Component Analysis
Authors: Hiroto Saigo, Koji Tsuda
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

Graph mining methods enumerate frequent subgraphs efficiently, but they are not necessarily good features for machine learning due to high correlation among features. Thus it makes sense to perform principal component analysis to reducethe dimensionality and create decorrelated features. We present a novel iterative mining algorithm that captures informative patterns corresponding to major entries of top principal components. It repeatedly callsweighted substructure mining where example weights are updated in each iteration. The Lanczos algorithm, a standard algorithm of eigen decomposition, is employed to update the weights. In experiments, our patterns are shown to approximate the principal components obtained by frequent mining.
A Better Choice for Sensor Sleeping
Authors: Ou Yang, Wendi Heinzelman
Venue: Proceedings of the 6th European Conference on Wireless Sensor Networks (2009)

Sensor sleeping is a widely-used and cost-effective technique to save energy in wireless sensor networks. Protocols at different stack levels can, either individually or simultaneously, make the sensor sleep so as to extend the application lifetime. To determine the best choice for sensor sleeping under different network conditions and application requirements, we investigate single layer and multi-layer sleeping schemes at the routing and MAC layers. Our results show that routing layer sleeping performs better when there is high network redundancy or high contention, while MAC layer sleeping performs better when there is low contention or in small networks. Moreover, multi-layer sleeping requires cross-layer coordination to outperform single layer sleeping under low contention. Therefore, our conclusions can not only guide the implementation of practical sensor networks, but they also provide hints to the design of cross-layer power management to dynamically choose the best sleeping scheme under different network and application scenarios.
Improvement of the Edge-based Morphological (EM) method for lidar data filtering
Authors: Qi Chen
Venue: International Journal of Remote Sensing (2009)

Filtering is a crucial step in lidar data processing. The Edge-based Morphological (EM) filtering method proposed by Chen et al. (2007, Photogrammetric Engineering and Remote Sensing, 73, pp. 175-185) is fast and can be applied to different land use and land cover types. However, it requires a large number of parameters. It is challenging for average users to tune these parameters without a good understanding of the algorithm. This study introduces a new method to identify buildings so that the total number of parameters to be tuned is reduced from 7 to 2. Even with fewer parameters being tuned, it was found that the average filtering error slightly decreased compared to the original algorithm when tested with the benchmark dataset provided by the International Society for Photogrammetry and Remote Sensing (ISPRS) Commission III/WG3. This is a useful contribution to the original algorithm given that it can achieve increased accuracy in a simpler way for users.
Management planning in the data communications environment
Authors: Lynn Hopewell
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

A dominant trend in the computer business is the growth of data processing systems which are involved with data communications. It is estimated that by 1980 70 percent of all computers will use communications. Many organizations are now using or planning the use of teleprocessing systems. For those with such systems in operation, the experience has been one of rapid expansion and growth as the organization learned to appreciate and use them.
Temporal Synchronization in Multimedia Presentations
Authors: Isabel F. Cruz, Parag S. Mahalley
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

Designing high quality multimedia presentations is a tedious and time consuming task, even for skilled authors. This is particularly true when temporal media such as speech and animation are involved. The focus of our research is to determine whether the multimedia presentation is synchronized or amenable to synchronization. We define a formal framework for verifying temporal synchronization of a presentation, which is based on a modified all-pairs shortest path algorithm.
Noise-Induced Synchronization among Sub-RF CMOS Analog Oscillators for Skew-Free Clock Distribution
Authors: Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshihito Amemiya
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

We present on-chip oscillator arrays synchronized by random noises, aiming at skew-free clock distribution on synchronous digital systems. Nakao et al. recently reported that independent neural oscillators can be synchronized by applying temporal random impulses to the oscillators [1],[2]. We regard neural oscillators as independent clock sources on LSIs; i.e., clock sources are distributed on LSIs, and they are forced to synchronize through the use of random noises. We designed neuron-based clock generators operating at sub-RF region (< 1 GHz) by modifying the original neuron model to a new model that is suitable for CMOS implementation with 0.25-μm CMOS parameters. Through circuit simulations, we demonstrate that i) the clock generators are certainly synchronized by pseudo-random noises and ii) clock generators exhibited phase-locked oscillations even if they had small device mismatches.
A view from Mount Olympus: the impact of activity tracking tools on the character and practice of moderation
Authors: David Gurzick, Kevin F. White, Wayne G. Lutters, Lee Boot
Venue: Proceedings of the ACM 2009 international conference on Supporting group work (2009)

Moderation within online communities is critical. Though many guidelines are available that describe the goals of successful moderation, these often minimize the complex interplay that exists between tools and practices of moderators. This study investigates the role of moderation through the lens of the moderators in a nascent online community for adolescents. Based on an analysis of their activities, three classes of emergent behavior were uncovered when exploring how the available tools impacted the way moderator work was performed. The findings reveal a need for design considerations that take into account the appropriateness of match between the tools and work processes from a moderator perspective.
Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification
Authors: Zhao Lu, Jing Sun, Kenneth R. Butts
Venue: Mathematics and Computers in Simulation (2009)

Wavelet theory has a profound impact on signal processing as it offers a rigorous mathematical framework to the treatment of multiresolution problems. The combination of soft computing and wavelet theory has led to a number of new techniques. On the other hand, as a new generation of learning algorithms, support vector regression (SVR) was developed by Vapnik et al. recently, in which ε-insensitive loss function was defined as a trade-off between the robust loss function of Huber and one that enables sparsity within the SVs. The use of support vector kernel expansion also provides us a potential avenue to represent nonlinear dynamical systems and underpin advanced analysis. However, for the support vector regression with the standard quadratic programming technique, the implementation is computationally expensive and sufficient model sparsity cannot be guaranteed. In this article, from the perspective of model sparsity, the linear programming support vector regression (LP-SVR) with wavelet kernel was proposed, and the connection between LP-SVR with wavelet kernel and wavelet networks was analyzed. In particular, the potential of the LP-SVR for nonlinear dynamical system identification was investigated.
Virtual machine for implementing the ESPL programming language
Authors: Horia Ciocârile, Cosmin-Mihai Vacarescu
Venue: Proceedings of the 7th conference on Data networks, communications, computers (2008)

This paper's scope is to describe the back-end implementation of the ESPL compiler, precisely the platform for the code's simulation - a virtual machine - and the virtual code generator for this platform. ESPL is an object oriented programming language that is used for embedded systems and consequently the virtual machine is implemented in a manner that allows the simulation and testing of specific features of embedded systems. It is strongly customizable for a better emulation of different existing embedded systems. The virtual code generation is strongly dependent on the configuration of the virtual machine. Its starting point is the intermediate code produced by the front-end of the compiler, and, as final point, a file with machine code that will be loaded and executed by the virtual machine. The implementation is based on the OOP principles and every module can be replaced and upgraded if the interfacing rules are followed. The interaction with the user is realized trough the ESPL GUI. New windows and options were added to the previous GUI to support the features offered by virtual machine and the virtual code-generator.