ppxscal/embedding_network huggingface dataset:
Aggregation with fragment retransmission for very high-speed WLANs
Authors: Tianji Li, Qiang Ni, David Malone, Douglas Leith, Yang Xiao, Thierry Turletti
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

In upcoming very high-speed wireless LANs (WLANs), the physical (PHY) layer rate may reach 600 Mbps. To achieve high efficiency at the medium access control (MAC) layer, we identify fundamental properties that must be satisfied by any CSMA-/CA-based MAC layers and develop a novel scheme called aggregation with fragment retransmission (AFR) that exhibits these properties. In the AFR scheme, multiple packets are aggregated into and transmitted in a single large frame. If errors happen during the transmission, only the corrupted fragments of the large frame are retransmitted. An analytic model is developed to evaluate the throughput and delay performance of AFR over noisy channels and to compare AFR with similar schemes in the literature. Optimal frame and fragment sizes are calculated using this model. Transmission delays are minimized by using a zero-waiting mechanism where frames are transmitted immediately once the MAC wins a transmission opportunity. We prove that zero-waiting can achieve maximum throughput. As a complement to the theoretical analysis, we investigate the impact of AFR on the performance of realistic application traffic with diverse requirements by simulations. We have implemented the AFR scheme in the NS-2 simulator and present detailed results for TCP, VoIP, and HDTV traffic. The AFR scheme described was developed as part of the IEEE 802.11n working group work. The analysis presented here is general enough to be extended to proposed schemes in the upcoming 802.11n standard. Trends indicated in this paper should extend to any well-designed aggregation schemes.
Plagiarism Prevention by Logging Students' Paper-Writing Activities
Authors: Yasuhiro Matsugi, Hiroyuki Tarumi, Yoshinobu Inagaki, Hisashi Sakamoto, Koji Kida, Hideo Shimazu
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

Plagiarism by students is a serious problem. They sometimes copy sentences from the Internet or other sources. We have developed a system that securely records logs of paper-writing processes by students and graphically shows the logs to teachers. We applied it to an assignment at a real course, and obtained logs from 50 students. The system successfully suppressed plagiarism by students.
Event-based information extraction for the biomedical domain: the Caderige project
Authors: Erick Alphonse, Sophie Aubin, Philippe Bessières, Gilles Bisson, Thierry Hamon, Sandrine Lagarrigue, Adeline Nazarenko, Alain-Pierre Manine, Claire Nédellec, Mohamed Ould Abdel Vetah, Thierry Poibeau, Davy Weissenbacher
Venue: Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (2004)

This paper gives an overview of the Caderige project. This project involves teams from different areas (biology, machine learning, natural language processing) in order to develop highlevel analysis tools for extracting structured information from biological bibliographical databases, especially Medline. The paper gives an overview of the approach and compares it to the state of the art.
Examining the Psychological Impact of Video Cases for Teacher Education
Authors: Peter Y. K. Chan
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

This study examines teachers' cognitive development when interacting with video ethnography, a form of video cases. It used grounded theory to discover embedded meanings and relationships that emerge from descriptive data collected from six teachers. Findings revealed the categories of cognitive activities when using video ethnography and teachers' progression in a cognitive development process through interaction with video ethnography. The study has implications in improving technology use in teacher development, production of video cases, and research on case-based pedagogy and other related areas.
A Population-Based Approach for Diversified Protein Loop Structure Sampling
Authors: Yaohang Li
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Protein loop structure modeling is regarded as a mini protein folding problem with significant scientific importance. Efficiently sampling the loop conformation space is a key step to computationally obtain accurate loop structure models. Due to the large size of the conformation space and the complication of the scoring functions describing protein energy, it is difficult to obtain broad, diverse coverage of the loop conformations with low energy (score). In this article, we present a new population-based approach to sample the backbone conformations of protein loops. The main advantage of the population-based approaches is that various selection schemes can be applied to enforce the conformations in a population to satisfy certain constraints. In our sampling approach, conformations are generated in the dihedral angles (¿, ¿)-space and the Differential Evolution (DE) method is employed to implement dihedral angle crossover for generating new conformations. A diversity selection scheme is applied to achieve diversified sampling. Using a narrowing gap selection scheme, decoys satisfying loop closure condition are obtained by gradually eliminating conformations with large terminal gaps in a population. Our computational results on modeling long loop targets have shown diverse and broad coverage of the loop conformation space, which leads to consistently reaching the native-like decoys in the sampling process. 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
Functional image quality and performance evaluation for JPEG compression and de-noising filters
Authors: Yun Fah Chang, Omar Mohd Rijal, Syed Abdul Rahman Abu Bakar
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

As a performance indicator of algorithms, the quality of the reference and processed images is compared and its similarity value is calculated. This performance evaluation process can be done visually. However, the visual inspection is a highly subjective process and depends on the requirements of a given application. Consequently, many full reference image quality metrics were introduced in which the reference image being compared is regarded as 'perfect'. In this paper, the reference and processed images are considered as imperfect and we propose a functional metric using the coefficient of determination for unreplicated linear functional relationship model as a measure of the similarity, which in turn may be used as a definition for image quality and performance indicator of compression and de-noising filters. The sensitivity of the proposed metric is also studied and it provides a consistent interpretation for the distortion area of a processed image. Our experimental results show that the proposed functional metric is a good quality measure for JPEG compressed image and it is sensitive in differentiating the performance or low-pass and high-pass filtered image.
Master VISUALLY Dreamweaver CS4 and Flash CS4 Professional
Authors: Rob Huddleston
Venue:  (2009)

Updated tips and step-by-step guidance on the integration between the latest releases of Dreamweaver and Flash Covering all the new features of Dreamweaver CS4 and Flash CS4 Professional, this two-color visual guide presents practical, straight-forward advice on intermediate-to-advanced level topics Offering you the next step on how to maximize the latest releases of this Web site software, the book begins with a review of Dreamweaver and Flash basics and then progresses to managing a finished site, adding dynamic elements and interactivity, and adding movie elements and animation with advanced Flash techniques Clear, numbered instructions walk you through the steps for performing more than 300 unique and eye-catching Dreamweaver and Flash tasks with the expectation that you will integrate the techniques to create a robust and interactive Web site The companion Web site includes all the author files used in the book as well as customizable Web site templates to help you create robust Web sites with minimal time and effort
Entity resolution with iterative blocking
Authors: Steven Euijong Whang, David Menestrina, Georgia Koutrika, Martin Theobald, Hector Garcia-Molina
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Entity Resolution (ER) is the problem of identifying which records in a database refer to the same real-world entity. An exhaustive ER process involves computing the similarities between pairs of records, which can be very expensive for large datasets. Various blocking techniques can be used to enhance the performance of ER by dividing the records into blocks in multiple ways and only comparing records within the same block. However, most blocking techniques process blocks separately and do not exploit the results of other blocks. In this paper, we propose an iterative blocking framework where the ER results of blocks are reflected to subsequently processed blocks. Blocks are now iteratively processed until no block contains any more matching records. Compared to simple blocking, iterative blocking may achieve higher accuracy because reflecting the ER results of blocks to other blocks may generate additional record matches. Iterative blocking may also be more efficient because processing a block now saves the processing time for other blocks. We implement a scalable iterative blocking system and demonstrate that iterative blocking can be more accurate and efficient than blocking for large datasets.
Advanced methods for data mining
Authors: Nicoleta David, Neculai Patrascu, Claudia-Georgeta Carstea, Lucian Patrascu, Ioan-Gheorghe Ratiu, Daniela Damian
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

Data mining offers a large spectrum of information retrieval techniques for many fields, like health care, human resources, banking, performance efficiency in managerial systems, etc. Web mining is the application of data mining techniques to discover user web navigation patterns in web log data. In this paper we present a Web Mining model used for estimation of the length of typical trails in a web site.
Collecting and evaluating speech recognition corpora for nine Southern Bantu languages
Authors: Jaco Badenhorst, Charl van Heerden, Marelie Davel, Etienne Barnard
Venue: Proceedings of the First Workshop on Language Technologies for African Languages (2009)

We describe the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which includes data from nine Southern Bantu languages. Because of practical constraints, the amount of speech per language is relatively small compared to major corpora in world languages, and we report on our investigation of the stability of the ASR models derived from the corpus. We also report on phoneme distance measures across languages, and describe initial phone recognisers that were developed using this data.
Empirical evaluation of an educational game on software measurement
Authors: Christiane Gresse Von Wangenheim, Marcello Thiry, Djone Kochanski
Venue: Empirical Software Engineering (2009)

Software measurement is considered important in improving the software process. However, teaching software measurement remains a challenging issue. Although, games and simulations are regarded powerful tools for learning, their learning effectiveness is not rigorously established. This paper describes the results of an explorative study to investigate the learning effectiveness of a game prototype on software measurement in order to make an initial judgment about its potential as an educational tool as well as to analyze its appropriateness, engagement and strengths weaknesses as guidance for further evolution. Within the study, a series of experiments was conducted in parallel in three master courses in Brazil. Results of the study reveal that the participants consider the content and structure of the game appropriate, but no indication for a significant difference on learning effectiveness could be shown.
A materialized view selection technique for XPath queries
Authors: Kazutaka Furuse, Keiichi Sato, Hanxiong Chen, Nobuo Ohbo
Venue: Proceedings of the 2nd conference on European computing conference (2008)

This paper proposes an effective method for selecting XPath views which contribute to improve query processing performance when they are materialized. This method finds a set of efficient materialized views from a given set of workload queries written in the XPath query language. The selected views are computed in advance and stored in databases so that they can be used to process XPath queries efficiently. The proposed method introduces a new data structure called view inclusiveness graph. This data structure enables us to apply the traditional greedy algorithm for finding effective views. Because of the powerfulness of the data structure, the proposed method can handle various XPath operators including wildcards, relative paths, and predicates. The proposed method has the advantage that it can take the cost of recomputing views and cost of storing views into consideration in the process of view selection. The experimental results with synthetic data sets show that the proposed method is effective and potential.
Self-synchronized duty-cycling in sensor networks with energy harvesting capabilities: the static network case
Authors: Hugo Hernández, Christian Blum
Venue: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009)

Biological studies have shown that some species of ants rest quite large fractions of their time. Interestingly, not only single ants show this behaviour, but whole ant colonies exhibit synchronized activity phases resulting from self-organization. Inspired by this behaviour, we previously introduced an adaptive and self-synchronized duty-cycling mechanism for mobile sensor networks with energy harvesting capabilities. In this paper, we focus on the study of this mechanism in the context of static sensor networks, because most sensor networks deployed in practice are static. We consider various scenarios that result from the combination of different network topologies and sizes. Our results show that our mechanism also works in the case of static sensor networks with energy harvesting capabilities.
Detection and Tracking of Skype by Exploiting Cross Layer Information in a Live 3G Network
Authors: Philipp Svoboda, Esa Hyytiä, Fabio Ricciato, Markus Rupp, Martin Karner
Venue: Proceedings of the First International Workshop on Traffic Monitoring and Analysis (2009)

This paper introduces a new method to detect and track Skype traffic and users by exploiting cross layer information available within 3G mobile cellular networks. In a 3G core network all flows can be analyzed on a per user basis. A detected Skype message is therefore related to a specific user. This information enables user profiles that provide a relationship between the mobile station and the characteristics of the corresponding Skype instance, which remain unchanged for long periods of time. Based on this information, our computationally lightweight method is able to classify Skype flows accurately. Moreover, the method is, by design, robust against false positives. Based on test traces from a live network, our new method achieves a similar detection performance as publicly available tools, yet with much less complexity.
Implementation of a rewarding module for an e-commerce platform for marginalized areas
Authors: Jere Nobert Rangarirai, Thinyane Mamello, Terzoli Alfredo
Venue: Proceedings of the 2009 Annual Conference of the Southern African Computer Lecturers' Association (2009)

e-Commerce can help to deliver economic growth, increased business opportunities, enhanced competitiveness and better access to markets. At present, though most small enterprises lack the knowledge of how investment in e-Commerce could benefit their businesses and help them develop that competitive edge. Currently most of the small enterprises are adopting e-Commerce projects because of improved access to the technical and communication infrastructure. E-Commerce platforms have emerged and expanded in rural communities to improve business in these areas. Shopping malls, selling on-line and shopping websites have being created to ensure growth of small businesses in rural communities. However, it is still difficult to ensure sustainability of e-Commerce projects in these areas. Donors and well-wishers implement most of the e-Commerce projects in rural communities. Once the donors fail to keep on supporting the projects in most cases it causes failure of these e-Commerce projects. Thus, rural people lack adequate resources and skills to support such systems especially in the absence of the initiators. Shortage of advanced technologies also contributes to the failure of e-Commerce. In many rural communities, e-Commerce projects have not benefited the targeted people because of new and advanced changes in these projects. These technological changes make it difficult for rural people to be able to support e-Commerce projects. Discovering new ways of selling and identifying advanced strategies play an important role in sustainability of e-Commerce projects in rural areas. A lot of activities and applications have been developed to improve the e-Commerce projects. This paper explains the rewarding application as a strategy to improve e-Commerce projects in rural areas. The application allows customers to get points for buying on-line from a marginalized area. This allows the e-Commerce project in rural communities to be able to compete on the global markets.
Pairagon
Authors: David V. Lu, Randall H. Brown, Manimozhiyan Arumugam, Michael R. Brent
Venue: Bioinformatics (2009)

Motivation: The most accurate way to determine the intron–exon structures in a genome is to align spliced cDNA sequences to the genome. Thus, cDNA-to-genome alignment programs are a key component of most annotation pipelines. The scoring system used to choose the best alignment is a primary determinant of alignment accuracy, while heuristics that prevent consideration of certain alignments are a primary determinant of runtime and memory usage. Both accuracy and speed are important considerations in choosing an alignment algorithm, but scoring systems have received much less attention than heuristics. Results: We present Pairagon, a pair hidden Markov model based cDNA-to-genome alignment program, as the most accurate aligner for sequences with high-and low-identity levels. We conducted a series of experiments testing alignment accuracy with varying sequence identity. We first created ‘perfect’ simulated cDNA sequences by splicing the sequences of exons in the reference genome sequences of fly and human. The complete reference genome sequences were then mutated to various degrees using a realistic mutation simulator and the perfect cDNAs were aligned to them using Pairagon and 12 other aligners. To validate these results with natural sequences, we performed cross-species alignment using orthologous transcripts from human, mouse and rat. We found that aligner accuracy is heavily dependent on sequence identity. For sequences with 100% identity, Pairagon achieved accuracy levels of >99.6%, with one quarter of the errors of any other aligner. Furthermore, for human/mouse alignments, which are only 85% identical, Pairagon achieved 87% accuracy, higher than any other aligner. Availability: Pairagon source and executables are freely available at http://mblab.wustl.edu/software/pairagon/ Contact:davidlu@wustl.edu; brent@cse.wustl.edu Supplementary information:Supplementary data are available at Bioinformatics online.
Incorporating Online Discussion in Classroom Learning: A New Strategy
Authors: Wenli Chen, Chee Kit Looi
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

This paper explored the advantages and disadvantages of in-class online discussion by implementing online discussion in both in-and off-classroom settings for a professional development course, and by evaluating the strengths and weaknesses of such practices. Our results showed that the advantages of in-class online discussion are providing more perspectives, equalizing the participation of discussion, promoting cognitive thinking skills and in-depth information processing, and the ease of circulating and archiving files and documents. The disadvantages with in-class online discussion include lack of face-to-face interaction, the necessity to use more time, and the inefficiency accruing from the realization that not all learners will read the online postings.
Localized power-aware alternate routing for wireless ad hoc networks
Authors: Baoxian Zhang, Hussein T. Mouftah, Zhuang Zhao, Jian Ma
Venue: Wireless Communications Mobile Computing (2009)

In this paper, we design a localized power-aware alternate routing (LPAR) protocol for dynamic wireless ad hoc networks. The design objective is to prolong the lifetime of wireless ad hoc networks wherein nodes can adaptively adjust their transmission power based on communication ranges. LPAR achieves this goal via two phases. In the first phase, energy draining balancing is achieved by identifying end-to-end paths with high residual energy. The second phase is designed to effectively reduce the power consumed for packet forwarding. This is achieved by iteratively performing adaptive localized power-aware alternate rerouting to bypass each (potentially) high-power link along the end-to-end path identified in the first phase. Further, the design of LPAR enables nodes to collect their neighborhood information &lsquo;on-demand&rsquo;, which can effectively reduce the overhead for gathering such information. LPAR is suitable for both homogeneous and non-homogeneous networks. Simulation results demonstrate that LPAR achieves improved performance in reducing protocol overhead and also in prolonging network lifetime as compared with existing work. Copyright &copy; 2008 John Wiley & Sons, Ltd.
Verifying Interlevel Relations within Multi-Agent Systems
Authors: Alexei Sharpanskykh, Jan Treur
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

An approach to handle the complex dynamics of a multi-agent system is based on distinguishing aggregation levels by structuring the system into parts or components. The behavior of every aggregation level is specified by a set of dynamic properties for components and interactions at that level, expressed in some (temporal) language. The dynamic properties of higher aggregation levels in principle can be logically related to dynamic properties of lower levels. This asks for identification and verification of such interlevel relations. In this article it is shown how this problem can be addressed using model checking techniques.