ppxscal/embedding_network huggingface dataset:
Enabling rich applications and reliable data collection in embedded wireless networks with low-footprint devices
Authors: Sujit Dey, Curt Schurgers
Venue:  (2009)

Following the remarkable developments in computing and wireless communication technologies, there has been a rapid proliferation of mobile and embedded computing systems and applications that are becoming ubiquitous in all aspects of modern life, including the enterprise world, the entertainment world as well as in common household appliances. However, designers of new generations of these systems have to address a twofold demand for increasing application functionality as well as a reduction in device footprints.This dissertation proposes a design principle that can allow mobile computing applications to transcend the limitations on the end-devices, by splitting up the functionality of the application end points between the low-footprint wireless end-nodes and shared fixed nodes inside the network. It presents two instantiations of this idea in different types of wireless networks, identifying and solving some of the key challenges faced when applying the proposed principle. In the first part, the focus is on wireless access networks, where shared processing resources within the network can be used to support high-end applications on thin handheld clients. A major challenge here is to determine how to schedule the wireless communication and computing resources together to support a large set of clients. The second part of the dissertation demonstrates how the same design principle can be applied to wireless sensor networks to enable the use of simple, ultra-low-power sensor nodes. The resource limitations on the sensor nodes make it challenging to ensure the reliability of the sensor data, and a novel solution is proposed that leverages the correlation properties of the data to do so.The experimental results presented demonstrate the viability of the proposed architectural principle in systems that vary markedly in terms of application goals and device capabilities. It is shown that the technique proposed in the first part can achieve very efficient scheduling performance with minimal processing overheads. This enables the expansion of the application functionality without increasing the footprint of the end-devices. Similarly, in sensor networks, the error correction method demonstrated the feasibility of achieving the primary functionality, i.e., reliable data collection even when the footprints of the sensor nodes are reduced too far to implement traditional reliability measures. The techniques described will facilitate the adoption of infrastructure-based approach to system design, leading to high-end applications using low-footprint devices.
CAMELEON: A Generic Model of Embodied Conversational Agent for e-Learning Portals
Authors: Mélanie Courtine, Valérie Renault
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

Many e-learning portals have appeared on the Web to promote distance learning. However the amount of information available on these web sites increases more and more and users do not know where to find the “good” information. It is become necessary to build additional tools to help learner in their learning. Nowadays few works consider the idea to integrate intelligent tutors for such environments in ever-changing evolution and social-constructivism approaches show the importance of interactions between actors (learners, tutors) in the learning process. To answer these problems, this paper presents CAMELEON, a generic model of embodied conversational agent (ECA) devoted to e-learning portals. This agent is always in interactions with the learner in order to improve his learning task. The agent is only the visible part of an underground multi-agent system, in which several agents interact according to the user actions, the web site evolution and the pedagogical scenarios. All these interactions allow to filter all the available information in order to adapt the ECA behavior to learners.
Spatial and temporal responses of different crop-growing environments to agricultural drought: a study in Haryana state, India using NOAA AVHRR data
Authors: C. S. Murthy, M. V. R. Sesha Sai, K. Chandrasekar, P. S. Roy
Venue: International Journal of Remote Sensing (2009)

Spatial and temporal responses to agricultural drought of different districts with different crop-growing environments were assessed using National Oceanic & Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR)-derived monthly time composite Normalized Difference Vegetation Index (NDVI) images of a drought year (2002) and a normal year (2004) in Haryana state, one of the most prolific agricultural states of India. The seasonal NDVI profiles derived from NOAA AVHRR data, despite coarse spatial resolution, successfully captured the response of vulnerable districts to drought events. The greenness (NDVI) in mid-season and at the end of the season of drought and normal years was compared. Districts having less irrigation support due to insufficient canal supplies and poor quality of groundwater had very high NDVI deviation from normal, signifying the impact of severe drought conditions in terms of reduced/delayed sown area, poor germination etc. in the year 2002. The districts with high irrigation support (surface water plus good quality groundwater) have either higher NDVI or insignificant deviation from a normal year and are not influenced by meteorological drought. Thus, quality of groundwater in different districts is a key factor to determine the vulnerability and sensitivity of the district to meteorological drought events in the study area state. The results of the study are relevant for vulnerability mapping and drought hazard zonation in the state to aid in-season and long-term management of droughts.
The impact of servicemembers' learning styles and computer anxiety levels on computer-mediated learning
Authors: Sam Obeng-Dompreh
Venue:  (2008)

Computer-mediated technology for training and education is increasingly receiving attention in the military environment, but there is insufficient research on servicemembers&rsquo; perceptions of this approach to education. The purpose of this quantitative correlational research study was to examine the relationship between servicemembers&rsquo; learning styles, computer anxiety levels, and perceptions of computer-mediated technology for education and training. This quantitative correlational study surveyed 200 active-duty soldiers stationed at Fort Bragg, North Carolina, using a 30-item survey questionnaire, consisting of the Learning and Interpreting Modality Instrument, Computer Anxiety Scale, and a researcher-developed survey that measured servicemembers&rsquo; perceptions toward computer-mediated technology. The data were evaluated using Pearson correlations, regressions, and one-way analysis of variance. The related findings revealed that computer anxiety levels, as a variable appears to be a good indicator of servicemembers perceptions of computer-mediated technology for education and training. In addition, a large percentage of servicemembers, 60.1% (n = 92) exhibited low computer anxiety levels. These findings should heighten the Department of Defense&rsquo;s current initiative to bring education and training to servicemembers dispersed all around the globe, through enhanced computer-mediated technologies. 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
Realistic Driving Trips For Location Privacy
Authors: John Krumm
Venue: Proceedings of the 7th International Conference on Pervasive Computing (2009)

Simulated, false location reports can be an effective way to confuse a privacy attacker. When a mobile user must transmit his or her location to a central server, these location reports can be accompanied by false reports that, ideally, cannot be distinguished from the true one. The realism of the false reports is important, because otherwise an attacker could filter out all but the real data. Using our database of GPS tracks from over 250 volunteer drivers, we developed probabilistic models of driving behavior and applied the models to create realistic driving trips. The simulations model realistic start and end points, slightly non-optimal routes, realistic driving speeds, and spatially varying GPS noise.
Early patterns of scientific production by Mexican researchers in mainstream journals, 1900&ndash;1950
Authors: Ma. Elena Luna-Morales, Francisco Collazo-Reyes, Jane M. Russell, Miguel Ángel Pérez-Angón
Venue: Journal of the American Society for Information Science and Technology (2009)

According to the bibliographical data included in the Web of Science, SCOPUS, Chemical Abstracts, and other specialized information services covering the period 1900&ndash;1950, the first publications in mainstream journals by Mexican researchers appeared only in the first decades of the 20th century. Contrary to expectations, we find that the academic community was not the protagonist in the early stages of Mexican scientific practices, but that there was a strong contribution coming from researchers associated with the public-health sector and the chemical and mining industries. We were able to identify in this half century four different modes of scientific production: amateur, institutional, academic, and industrial, which in turn correspond to distinct stages in the evolution of the Mexican scientific production. We characterize these modes of production with a variety of indicators: publication and citation patterns, author output, journal and subject categories, institutional collaborations, and geographical distribution. &copy; 2009 Wiley Periodicals, Inc.
Towards Auto-Coding of Collaborative Interaction Texts Based on Maximum Entropy Approach
Authors: Jian Liao, Ronghuai Huang, Yanyan Li, Jingjing Wang, Jing Leng
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

Content analysis is an important method in the research into collaborative learning. The usual method for deeper content analysis is to first categorize and code interactive texts and then analyze them. However, the content analysis method with categorizing and coding is time consuming in the first period of research for coding content analysis, which restricts greatly the amount and scale of the analyzed contents. Therefore, this paper proposes a method to automatically code the collaborative interaction text based on the maximum entropy approach. Taken a great number of interactive notes as input corpus, an experiment is conducted to test the efficacy of the proposed approach. The experiment results show that the coding effect of the proposed auto-coding approach is to that of the sentence-opener approach in which the coding category is manually chosen by students. Additionally, as corpus increase and features are improved, the coding effects will be further strengthened.
Next high performance and low power flash memory package structure
Authors: Jung-Hoon Lee
Venue: Journal of Computer Science and Technology (2007)

In general, NAND flash memory has advantages in low power consumption, storage capacity, and fast erase/write performance in contrast to NOR flash. But, main drawback of the NAND flash memory is the slow access time for random read operations. Therefore, we proposed the new NAND flash memory package for overcoming this major drawback. We present a high performance and low power NAND flash memory system with a dual cache memory. The proposed NAND flash package consists of two parts, i.e., an NAND flash memory module, and a dual cache module. The new NAND flash memory system can achieve dramatically higher performance and lower power consumption compared with any conventional NAND-type flash memory module. Our results show that the proposed system can reduce about 78% of write operations into the flash memory cell and about 70% of read operations from the flash memory cell by using only additional 3KB cache space. This value represents high potential to achieve low power consumption and high performance gain.
Use of fuzzy neural network to predict coronary heart disease in a Malaysian sample
Authors: Basir Abidin, Rosma Mohd Dom, A. Rashid A. Rahman, Roselina A. Bakar
Venue: Proceedings of the 8th Wseas international conference on Telecommunications and informatics (2009)

The purpose of this study was to evaluate the ability of fuzzy neural network model to predict the likelihood of coronary heart disease for individuals based on knowledge of their biomarkers, risk habits and demographic profiles. The prediction performance of fuzzy neural network models were measured in terms of percentage accuracies and compared with the prediction performance of logistic regression models. Provisionary results showed that four markers namely body mass index, systolic blood pressure, total cholesterol level, and age are the appropriate markers for the prediction of coronary heart disease in the sample studied. Fuzzy neural network models prediction performance were found to be superior to the logistic regression performance as well as to other results reported in related literature.
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Venue: Symposium on Principles of Database Systems (2009)

This volume contains the proceedings of the Twenty-eighth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS 2009), held in Providence, Rhode Island, on June 29--July 1, 2009, in conjunction with the 2009 ACM SIGMOD International Conference on Management of Data. The proceedings include 3 invited papers and 26 contributed papers. One invited paper is based on the keynote address by Raghu Ramakrishnan, while the other two are based on the invited tutorials by Leonid Libkin and Lars Arge, respectively. In addition, the announcement of the 2009 ACM PODS Alberto O. Mendelzon Test-of-Time Award also appears in the proceedings. The program committee selected 26 contributed papers for presentation at the conference from 97 submissions by authors from 21 countries. Most of the selected papers are preliminary reports on work in progress. While they have been read by the program committee members, they have not been formally refereed. It is expected that many of them will eventually appear in more polished and detailed form in scientific journals. In addition, the program committee also selected the paper "Size and Treewidth Bounds for Conjunctive Queries" by Georg Gottlob, Stephanie Lee, and Gregory Valiant for the PODS 2009 Best Paper Award, and the paper "XPath Evaluation in Linear Time with Polynomial Combined Complexity" by Pawel Parys for the PODS 2009 Best Student Paper Award, a new award for the PODS conferences. Warmest congratulations to the authors of these papers.
Describing Learner Support: An adaptation of IMS-LD Educational Modelling Language
Authors: Patricia Gounon, Pascal Leroux, Xavier Dubourg
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

In this paper, we propose an adaptation to the educational modelling language IMS-Learning Design in terms of support activity description and the specification of the actors' roles in these activities. The propositions are based on an organization tutoring model that we have defined. This model has three goals: (1) to organize tasks between actors tutor with learners during a learning session, (2) to allow an adaptive support activity to learners in according to the learning situation and (3) to specify support activity tools of learning environment.
Resource allocation with answer-set programming
Authors: João Leite, José Alferes, Belopeta Mito
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (2009)

Multi-agent resource allocation is a growing area of research at the frontier between Economics and Computer Science. Despite the extensive theoretical work and raising number of practical applications, many fundamental problems in multi-agent resource allocation still require adequate attention to its computational aspects. This paper addresses computational aspects of multi-agent resource allocation through the use of a fully declarative and highly expressive logic programming paradigm -- Answer Set Programming -- to provide uniform, general and flexible solutions to many multi-agent resource allocation problems in a compact and declarative manner.
Time-varying multivariate volume data visualization
Authors: Hiroshi Akiba
Venue:  (2008)

Analyzing time-evolving phenomena is an important task in various scientific fields. State-of-the-art scientific computing technologies allow accurate numerical modeling of multiple properties of such phenomena, producing time-varying multivariate volume (TVMV) data. Such data need to be analyzed in spatial, temporal, and variable domains. For instance, hurricane simulation data allow us to understand the spatial and temporal correlation between temperature, pressure, and wind speed when hurricanes move over land. Scientific visualization has proven very effective in gleaning insight into such data. This dissertation creates a unified solution to visualize and analyze TVMV data. A data packing technique enhances the overall system usability by lowering the data transfer cost between storage units. This solution elegantly adapts to the various data analysis cases, while taking into account the user's intent. A multivariate volume rendering technique enables scientists to analyze the spatial correlations between multiple variables in a single imagery. A tri-space user interface, which accommodates the rendering and packing techniques, allows the user to easily and freely specify features of interest. The interface reveals complex relations hidden in multi-dimensional data through tightly linked spatial, temporal, and variable views. Finally, an animation support, AniViz, enables scientists to create expressive visualization animations, while they are exploring the data. The key element used in AniViz is templates, which abstract each frequently used animation effect. An expressive animation is created by combining multiple templates. A visualization system based on these designs can dramatically enhances scientists' productivity, facilitating new scientific discoveries.
Outlier detection based on rough sets theory
Authors: Faizah Shaari, Azuraliza Abu Bakar, Abdul Razak Hamdan
Venue: Intelligent Data Analysis (2009)

An outlier in a dataset is a point or a class of points that is considerably dissimilar to or inconsistent with the remainder of the data. Detection of outliers is important for many applications and has always attracted attention among data mining research community. In this paper, a new method in detecting outlier based on Rough Sets Theory is proposed. The main concept of using the Rough Sets for outlier detection is to discover Non-Reduct from the information system (IS). Non-Reduct is a set of attributes from IS that may contain outliers. It is discovered through the computation of Non-Reduct by defining Indiscernibility matrix modulo (iDMM D) and Indiscernibility function modulo (iDFM D). A measurement called RSetOF (Rough Set Outlier Factor Value) is hereby defined to identify and detect outlier objects. Extensive experiments were conducted where ten benchmark datasets were tested with the proposed method. To evaluate the effectiveness of performance of the proposed method, RSetAlg is compared to the Frequent Pattern (FindFPOF) method. The experimental result reveals that the approach utilised is a good outlier detection method compared to FindFPOF method. Thus, this proposed method has formed a novel and competitive method in outlier detection.
A model of perception of the central point of elastic force fields
Authors: Francesca Bocca, Gabriel Baud-Bovy
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

While exploratory movements are an integral part of the act of perceiving in the haptic modality, little is known about the processes that perform the mental synthesis necessary to gain a unified representation of the object. To address this issue, we investigated the accuracy and precision with which participants could identify the central position of a unidimensional elastic force field. The stiffness of the left and right sides of the force field was separately manipulated. An important characteristic of this task is that an elastic force near the rest point is presumably below the absolute threshold for force perception. In other words, the observer cannot directly identify this position from its sensory apparatus and must somehow extrapolate it. We found that the perceived centers of the force fields were biased toward the weaker side in asymmetric force fields and that the precision of the responses decreased with the strength of the force fields. We present a model of the perception of the central point of these force fields that can explain the observed biases. Future development of the model will aim at providing an account of the variable error.
Transforming high level tasks to low level controllers
Authors: George J. Pappas
Venue:  (2008)

A major goal in robotics is to develop machines that perform useful tasks with minimal supervision. Instead of requiring each small detail to be specified, one would like to describe the task at a high level, and have the system autonomously execute it correctly.The work presented in this thesis addresses some of the challenges of creating autonomous systems that perform complex tasks while providing guarantees for correct behavior. Here, tasks defined using the formalism of temporal logic are automatically translated into controllers that drive a robot or group of robots and activate the different robot actions such that the task is completed, if it is feasible. The approach presented is correct by construction, it is complete in the sense that if under specific assumptions the task can be done, a controller will be created and it is sound, that is, if the task cannot be accomplished the algorithms return that it is infeasible and no controller is created.The approach to generating such controllers comprises of three steps. First, the task itself is described; This description captures the required behavior as well as relevant information about the robot capabilities such as actions and sensors, and the environment in which the robot is operating. This step transforms a generally continuous problem into a discrete one by creating abstractions of the different task components. The next step is to find a discrete solution for the problem, a discrete plan, that if followed the robot is guaranteed to achieve the discrete behavior required of it. The final step is to return to the original continuous problem by transforming the discrete plan to a hybrid controller that switches between a set of atomic controllers or control primitives that provide continuous local guarantees for the behavior of the robot.
IT Service Management Based on ITIL V3 - A Pocket Guide: ITSM Library Pocket Books
Authors: Van Haren Publishing
Venue:  (2007)

This Pocket Guide is a concise summary of the ITIL version 3. A quick, portable reference tool to this leading standards within the Service Management community. 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