ppxscal/embedding_network huggingface dataset:
Minimal infrastructure short range radar networks
Authors: David J. Mclaughlin
Venue:  (2008)

Distributed networks of short-range radars offer the potential to observe winds and rainfall at high spatial resolution in volumes of the troposphere that are unobserved by today's long-range weather radars. One class of potential radar network designs includes Off-the-Grid (OTG) weather radar networks. These are envisioned as self-contained networks of small remote-sensing, communication, and computation nodes, each occupying a volume of 1 m 3 and capable of operating independent of the wired power and communication infrastructure. Independence of the wired infrastructure would allow OTG networks to be deployed in specific regions where sensing needs are greatest, such as mountain valleys prone to flash-flooding, geographic regions where the infrastructure is not available or susceptible to failure, certain high-population areas, and underdeveloped regions lacking built-up infrastructure.OTG radar nodes would communicate wirelessly with one-another by operating as ad-hoc networks, and they would distribute computational functions among various points capable of computation throughout the network. The individual nodes derive energy from solar panels or other self-contained means and therefore OTG networks operate under a constraint of limited energy consumption. These systems would be required to exhibit the property of energy balance, meaning that they dynamically balance the allocation of energy consumed by different functions with the generation of power from the environment. This would be done through dynamic control decisions in order to operate over extended periods of time during severe and changing weather. Sensing, communicating, and computing tasks may be redistributed throughout the network as the storm cells migrate over the coverage area, in such a way that it maximizes the ratio of useful information collected to power consumed.This dissertation focuses on power management and energy harvesting of OTG radar networks. A prototype OTG radar node was developed to obtain practical measurements of energy consumption. Experiences and data gained from the operation of the prototype nodes are used to develop a model of the OTG node for simulation. An OTG radar network simulator was developed experiment with potential OTG networks. These simulations are used to investigate the impact of geographic location, battery capacity, optimization of power consumption, and node density on the performance and operational lifetime of such a sensor network. Additionally we present the results from initial exploration of dynamic control in OTG networks.
A Massively Parallel Architecture for Bioinformatics
Authors: Gerd Pfeiffer, Stefan Baumgart, Jan Schröder, Manfred Schimmler
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Today's general purpose computers lack in meeting the requirements on computing performance for standard applications in bioinformatics like DNA sequence alignment, error correction for assembly, or TFBS finding. The size of DNA sequence databases doubles twice a year. On the other hand the advance in computing performance per unit cost only doubles every 2 years. Hence, ingenious approaches have been developed for putting this discrepancy in perspective by use of special purpose computing architectures like ASICs, GPUs, multicore CPUs or CPU Clusters. These approaches suffer either from being too application specific (ASIC and GPU) or too general (CPU-Cluster and multicore CPUs). An alternative is the FPGA, which outperforms the solutions mentioned above in case of bioinformatic applications with respect to cost and power efficiency, flexibility and communication bandwidths. For making maximal use of the advantages, a new massively parallel architecture consisting of low-cost FPGAs is presented. 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
Leveraging social software for social networking and community development at events
Authors: Shelly D. Farnham, Peter T. Brown, Jordan L.K. Schwartz
Venue: Proceedings of the fourth international conference on Communities and technologies (2009)

Professional networking is a primary goal of people attending conferences and events. Over the past year we have developed an online social networking and community tool for events, Pathable, to help attendees meet the right people. Pathable provides an online directory of attendee profiles, communication tools, and a recommendation system optimized to help people find each other based on commonalities. We performed a questionnaire study at a pathable-enabled event to assess the importance of social networking, and found that quality of conversations and sense of community were strong predictors of who said they would return year after year. In addition, the more people used Pathable to meet others at the event, the greater their event attachment and sense of community. Based on lessons learned from an overview of seventeen Pathable-enabled events, we provide guidelines for leveraging social software to optimize professional networking and community development at events.
Local Rank Patterns --- Novel Features for Rapid Object Detection
Authors: Michal Hradis, Adam Herout, Pavel Zemcik
Venue: Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers (2008)

This paper presents Local Rank Patterns (LRP) - novel features for rapid object detection in images which are based on existing features Local Rank Differences (LRD). The performance of the novel features is thoroughly tested on frontal face detection task and it is compared to the performance of the LRD and the traditionally used Haar-like features. The results show that the LRP surpass the LRD and the Haar-like features in the precision of detection and also in the average number of features needed for classification. Considering recent successful and efficient implementations of LRD on CPU, GPU and FPGA, the results suggest that LRP are good choice for object detection and that they could replace the Haar-like features in some applications in the future.
Self-Regulation of Learning with Multiple Representations in Hypermedia
Authors: Jennifer Cromley, Roger Azevedo, Evan Olson
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

A body of research has demonstrated when multiple representations of content help students learn. Few studies, however, have used process measures to understand what different cognitive processes students enact when learning from different representations. We collected pretest, posttest, think-aloud, and video data from 21 undergraduate students learning about the human circulatory system using a hypermedia encyclopedia. We measured learning as a change in a participant's mental model of the circulatory system from pretest to posttest. Students who learned more tended to spend less time in Text. While viewing Text alone, amount of learning was most strongly associated with verbalizing a smaller proportion of Feeling of Knowing, Free Search, and Selecting a New Informational Source. For Text + Diagrams, the amount of learning was most strongly associated with verbalizing a larger proportion of Inference and Self-Questioning. For Animation, the only significant variable was Summarizing. When not using the hypermedia environment, the significant variables were Feeling of Knowing, Prior Knowledge Activation, and Taking Notes. We close with implications for designing hypermedia environments for learning about complex science topics.
Avoiding Network Congestion with Local Information
Authors: E. Baydal, P. López, J. Duato
Venue: Proceedings of the 4th International Symposium on High Performance Computing (2009)

Congestion leads to a severe performance degradation in multiprocessor interconnection networks. Therefore, the use of techniques that prevent network saturation are of crucial importance. Some recent proposals use global network information, thus requiring that nodes exchange some control information, which consumes a far from negligible bandwidth. As a consequence, the behavior of these techniques in practice is not as good as expected.In this paper, we propose a mechanism that uses only local information to avoid network saturation. Each node estimates traffic locally by using the percentage of free virtual output channels that can be used to forward a message towards its destination. When this number is below a threshold value, network congestion is assumed to exist and message throttling is applied. The main contributions of the proposed mechanism are two: i) it is more selective than previous approaches, as it only prevents the injection of messages when they are destined to congested areas; and ii) it outperforms recent proposals that rely on global information.
A practical state machine project
Authors: John M. Hunt
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

A widely noted problem in teaching undergraduate theory courses is a lack of student interest related to the perception of theory as being irrelevant and impractical. To counter this we added a programming project that produces working code for a vending machine, an obviously practical problem. The project is based on state machine automata implemented with the SEI's PACC starter kit, which directly maps state machine models, represented in a domain specific language, into executable code. This allows the student to see a direct and obvious mapping between a state machine based design and a functioning product.
A hybrid relational approach for WSD: first results
Authors: Lucia Specia
Venue: Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (2006)

We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using Inductive Logic Programming techniques to combine evidence coming from both sources during the learning process, producing a rule-based WSD model. We experimented with this approach to disambiguate 7 highly ambiguous verbs in English-Portuguese translation. Results showed that the approach is promising, achieving an average accuracy of 75%, which outperforms the other machine learning techniques investigated (66%).
ConfSys2: an improved web-based multi-conference management system
Authors: Min Huang, Yuwel Feng, Bipin C. Desai
Venue: Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering (2009)

This paper introduces ConfSys2, an improved web-based multi conference management and journal submission and publication system. ConfSys2 is and advanced redesign of ConfSys system, with additional features to help general chair, program chairs and program committee to manage the processes of academic conferences, and to provide conference related services for author and conference participants. The lessons learned from using ConfSys have been incorporated in Confsys2, which not only implements better user interface for Confsys's useful functions, such as automatically/manually allocating paper to reviewers, debating and rating paper, but also introduces new concepts, such as conference/journal series management, user-group-function management, and smart daemon in conference management to improve data sharing, reduce repetitive work and make management work more flexible.
HAWK: Real-World Implementation of High-Performance Heterogeneous Wireless Network for Internet Access
Authors: Jiannong Cao, Kun Xie, Weigang Wu, Chuda Liu, Gang Yao, Wei Feng, Yang Zou, Jigang Wen, Chisheng Zhang, Xin Xiao, Xuan Liu, Ye Yan
Venue: Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems Workshops (2009)

The co-existence and integration of different wireless networks will significantly advance the provision of ubiquitous and high-performance Internet services to mobile users. In this paper, we present HAWK, a real-world implementation of high performance heterogeneous wireless networks for ubiquitous Internet access. We have built a fully featured testbed comprised of different wireless networks, including Wireless Mesh Network (WMN), Wireless LAN (WLAN) and 3G network, and dual mode mobile clients that can access any of these networks. We have also developed protocols and algorithms for various system functions, including routing, intra-WMN handoff, inter-network handoff, and mobility adaptation middleware. Although many works can be found on heterogeneous wireless networks, most of them focus on protocol design and/or theoretical performance study. Very few of existing work reported real system development, of which most are limited to integration of WLANs and cellular networks. Our work reported in this paper provides insights into the design and implementation of heterogeneous wireless networks in the aspects of both hardware and software and will consequently drive heterogeneous wireless networks towards practical deployment.
Style-consistency calligraphy synthesis system in digital library
Authors: Kai Yu, Jiangqin Wu, Yueting Zhuang
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

There are lots of digitized calligraphy works written by ancient famous calligraphists in CADAL (China-America Digital Academic Library) digital library. To make use of these resources, users want to generate a tablet or a piece of calligraphic works written by some ancient famous calligraphist. But some characters in the tablet or the calligraphic work hadn't been written by the calligraphist or though were ever written but are hard to read because of long time weathering. In this paper, a novel approach is proposed to synthesize Chinese calligraphic characters which are in the same style of some calligraphist, and a corresponding system is developed for calligraphy works generation and tablets design. Calligraphic character is represented by a three-level hierarchical model. A novel approach for determining the character structure is proposed, which takes advantage of both the structure of the same characters of different styles and the structure of similar characters of the same style. A style evaluation model (SEM) is presented to evaluate whether the calligraphic character generated is in the same style of the specified calligraphist and to adjust the calligraphic character generated. Our experiments show that this system is effective.
Melancholia diagnosis based on GDS evaluation and meridian energy measurement using CMAC neural network approach
Authors: Chin-Pao Hung, Hong-Jhe Su, Shih-Liang Yang
Venue: WSEAS Transactions on Information Science and Applications (2009)

In this paper, a preliminary result about the melancholia diagnosis scheme based on the analyses of depression questionnaire and the meridian energy of human body using CMAC (Cerebellar Model Articulation Controller) neural network approach is proposed. Firstly, a large amount data obtained from hospital, recorded the aged patients' depression rating scales and the 12 sets meridian energy signals, are sieved out three disease groups' patterns. Assuming the recorded data can describe the necessary features of the melancholia patient. Then, we built a CMAC neural network to learn the melancholia features depending on the three disease groups' patterns. By the sufficient training, the diagnosis architecture will memorize the features of the selected melancholia patient patterns. Finally, the built diagnosis system can used to diagnose the depression scale by inputting the 12 sets meridian energy signals of human body into CMAC neural network. To benefit the pattern collection, re-training, diagnosis and the data analyses, a PC-based friendship operation interface is developed in this paper also. Such as the function of new pattern addition, retraining, and the memory weights distribution plots are appeared in the interface.
Identify P2P Traffic by Inspecting Data Transfer Behaviour
Authors: Mingjiang Ye, Jianping Wu, Ke Xu, Dah Ming Chiu
Venue: Proceedings of the 8th International IFIP-TC 6 Networking Conference (2009)

Classifying network traffic according to its applications is important to a broad range of network areas. Since new applications, especially P2P applications, no longer use well-known fixed port numbers, the native port based traffic classification technique has become much less effective. In this paper, we propose a novel approach to identify P2P traffic by leveraging on the data transfer behaviour of P2P applications. The behaviour investigated in the paper is that downloaded data from a P2P host will be uploaded to other hosts later. To find the shared data of downloading flows and uploading flows online, the content based partitioning schema is used to partition the flows into data blocks. Flows sharing the same data blocks are identified as P2P flows. The effectiveness of this method is demonstrated by experiments on various P2P applications. The results show that the algorithm can identify P2P applications very accurately while only keeping a small set of data blocks. The method is generic and can be applied to most P2P applications.
A Spatio-temporal Reasoning System for Virtual Camera Planning
Authors: Marc Christie, Fabrice Lamarche, Frédéric Benhamou
Venue: Proceedings of the 10th International Symposium on Smart Graphics (2009)

The problem of virtual camera planning consists in computing camera paths in virtual environments that satisfy given cinematographic properties. In this article, we present a spatio-temporal query system for reasoning over the cinematographic expressiveness of a dynamic 3D scene. We offer a declarative language with quantifiers based on a first order logic representation. Prior to any query, we fully characterize each spatial and temporal region of the search-space according to a broad set of properties. We rely on interval-based constraint techniques to guarantee the completeness of the characterization. Then in order to answer a query, we build a digraph that connects over space and time the areas satisfying the request. The exploration of this digraph together with its connectivity properties provide the user with the identification of distinct classes of solutions as well as the full set of camera paths with their temporal validity. Applications are found in film prototyping, e.g. when a director needs to explore the staging, shot and editing possibilities in real world, by using virtual environments, or in automated and semi-automated editing.
Using dependency parsing and probabilistic inference to extract relationships between genes, proteins and malignancies implicit among multiple biomedical research abstracts
Authors: Ben Goertzel, Izabela Freire Goertzel, Hugo Pinto, Mike Ross, Ari Heljakka, Cassio Pennachin
Venue: Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis (2006)

We describe BioLiterate, a prototype software system which infers relationships involving relationships between genes, proteins and malignancies from research abstracts, and has initially been tested in the domain of the molecular genetics of oncology. The architecture uses a natural language processing module to extract entities, dependencies and simple semantic relationships from texts, and then feeds these features into a probabilistic reasoning module which combines the semantic relationships extracted by the NLP module to form new semantic relationships. One application of this system is the discovery of relationships that are not contained in any individual abstract but are implicit in the combined knowledge contained in two or more abstracts.
Improving Mappings Discovery for Semantic Interoperability
Authors: Catarina Ferreira Da Silva, Lionel Médini, Celson Lima, Parisa Ghodous
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

This paper presents an approach to enhance semantic interoperability between semantic resources for the construction sector. It extends the approach developed by the FUNSIEC project through a set of propositions intended to increase the quantity and the quality of semantic mappings. The evaluation of the semantic mappings targets two directions, i.e. to assess the quality of the mappings using fuzzy logic techniques and to calculate how much a specific mapping is appropriate to a user context. Conclusions and further work are also discussed here.
Mid-air text input techniques for very large wall displays
Authors: Garth Shoemaker, Leah Findlater, Jessica Q. Dawson, Kellogg S. Booth
Venue: Proceedings of Graphics Interface 2009 (2009)

Traditional text input modalities, namely keyboards, are often not appropriate for use when standing in front of very large wall displays. Direct interaction techniques, such as handwriting, are better, but are not well suited to situations where users are not in close physical proximity to the display. We discuss the potential of mid-air interaction techniques for text input on very large wall displays, and introduce two factors, distance-dependence and visibility-dependence, which are useful for segmenting the design space of mid-air techniques. We then describe three techniques that were designed with the goal of exploring the design space, and present a comparative evaluation of those techniques. Questions raised by the evaluation were investigated further in a second evaluation focusing on distance-dependence. The two factors of distance- and visibility-dependence can guide the design of future text input techniques, and our results suggest that distance-independent techniques may be best for use with very large wall displays.
The linguistic status of text message abbreviations: An exploration using a Stroop task
Authors: Lesley McWilliam, Astrid Schepman, Paul Rodway
Venue: Computers in Human Behavior (2009)

The aim of this paper is to assess whether there is firm evidence for the informal observation that text message abbreviations have been absorbed into every day language use. Such abbreviations are most frequently used on mobile telephones and in electronic communication. We report data from a study investigating the linguistic status of text abbreviations. We tested this using a modified Stroop task. Participants were regular text message users. To-be-ignored stimuli of interest were text message abbreviations, chosen for high recognition rates among users (e.g. CUL8R for ''See you later''). We also used real words, non-words (pronounceable and non-pronounceable) and non-alphanumeric symbol strings. Text abbreviations led to increased colour-naming latencies when compared to words and non-words, while all alphanumeric stimuli led to slower response times than non-alphanumeric symbol strings. The findings show that reading text message abbreviations is unavoidable to those who have adapted to their use. Therefore they are likely to have been absorbed into the language. We explore the possible reasons for the increased Stroop interference we observed with text message abbreviations. We also suggest that using text abbreviations in research can enhance understanding of word recognition processes.