ppxscal/embedding_network huggingface dataset:
A Case Study Describing the Creation and Implementation of a Capacity Building Program for Mixed Mode Delivery of Academic Programmes in Developing Countries
Authors: Cleo Chadwick, Sheila Howell, Bakari Mwinyiwiwa
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)

In 2002 RMIT UNIVERSITY (RMIT) were awarded a World Bank (WB) four year contract (2003 --2006) by the AFRICAN VIRTUAL UNIVERSITY (AVU) for • Delivery of a COMPUTER SCIENCE (CS) diploma and degree to 8 AVU Learning Centres (LC) in Africa using an INFORMATION COMMUNICATIONS TECHNOLOGY (ICT) mixed-mode delivery model, and • Building capacity in the LEAD PARTNER UNIVERSITY (LPU), in this case the UNIVERSITY OF DAR ES SALAAM (UDSM) in Tanzania, so that they could take over the management & operations of the program from RMIT as from the end of the contract-Dec 2006. The inclusion of effective CAPACITY BUILDING (CB) into the program was viewed as an essential and urgent requirement that would lead to an ongoing and sustainable program. This need is particularly important in the areas of ICT, where the technology has the potential to support education and contribute meaningfully to the development of economic and sustainable industries. To be effective, CB would need to be seen as a holistic process involving the whole organisation. This paper describes: • the complexities and key issues involved in developing a CB program with the primary objective being “To ensure that UDSM is “operationally ready” to take over the management and the delivery of CS Program from RMIT.by Dec 2006" • the 'organisational mirroring' planning approach created to develop the CB program and • the specific strategies and activities that formed the CB program. Finally the paper reflects on the strategies and activities adopted and discusses key issues arising during implementation and lessons learned to date.
A comparison of neural networks for real-time emotionrecognition from speech signals A comparison of neural networks for real-time emotionrecognition from speech signals
Authors: Mehmet S. Unluturk, Kaya Oguz, Coskun Atay
Venue: WSEAS Transactions on Signal Processing (2009)

Speech and emotion recognition improve the quality of human computer interaction and allow easier to use interfaces for every level of user in software applications. In this study, we have developed two different neural networks called emotion recognition neural network (ERNN) and Gram-Charlier emotion recognition neural network (GERNN) to classify the voice signals for emotion recognition. The ERNN has 128 input nodes, 20 hidden neurons, and three summing output nodes. A set of 97920 training sets is used to train the ERNN. A new set of 24480 testing sets is utilized to test the ERNN performance. The samples tested for voice recognition are acquired from the movies "Anger Management" and "Pick of Destiny". ERNN achieves an average recognition performance of 100%. This high level of recognition suggests that the ERNN is a promising method for emotion recognition in computer applications. Furthermore, the GERNN has four input nodes, 20 hidden neurons, and three output nodes. The GERNN achieves an average recognition performance of 33%. This shows us that we cannot use Gram-Charlier coefficients to discriminate emotion signals. In addition, Hinton diagrams were utilized to display the optimality of ERNN weights.
Performance of high voltage transducers for measurement of power quality disturbances: modeling and simulation
Authors: Hédio Tatizawa, Erasmo Silveira Neto, Geraldo F. Burani, Antônio A. C. Arruda, Kleiber T. Soletto, Nelson M. Matsuo
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

In order of to keep under control power quality parameters in transmission and distribution networks, reliable measurements are necessary to assure the conformity with standards or other national or international regulatory documents [1]. For these measurements, the use of high voltage transducers is imperative for to provide a low voltage signal, for instance, under 1000V, considering that power quality analyzers in general can measure only low voltage signals. As power quality technical standards, not yet, cover calibration procedures for high voltage transducers, necessary to assure reliability for such measurements, this research proposes possible experimental setup for such calibrations, in real high voltage transducers.
A methodological approach for user interface development of collaborative applications: A case study
Authors: Ana Isabel Molina, Miguel Ángel Redondo, Manuel Ortega
Venue: Science of Computer Programming (2009)

In the last few years, the production of systems which support learning and group work has been high. However, the design and development of these types of systems are difficult, mainly due to the multidisciplinarity involved. Furthermore, the Graphic User Interface (GUI) of an application is receiving greater attention, since it can be decisive in determining if the application is accepted or rejected by users. Model-based design is a widespread technique in the user interface development process. While reviewing approaches that deal with the modeling and design of user interfaces supporting collaborative tasks, we have detected that there is no proposal that links interactive and collaborative issues. We have introduced a methodological approach to solve this shortcoming. This approach is called CIAM (Collaborative Interactive Application Methodology) and it is composed of several stages in which conceptual models are created using CIAN (Collaborative Interactive Application Notation). These models start by modeling the organization in which the application will be used, as well as the tasks that must be supported. In the initial stages, the organization and the collaborative tasks are modeled using high-level specifications. In the following stages, the level of detail increases and, finally, the interaction between the individual users and the application is modeled using ConcurTaskTrees (CTT) notation. The interaction model acts as a bridge between the design and the implementation of the Graphic User Interface. In this paper we present our methodological approach and an example of applying this method for user interface design of collaborative and interactive applications.
Review: Application classification using packet size distribution and port association
Authors: Ying-Dar Lin, Chun-Nan Lu, Yuan-Cheng Lai, Wei-Hao Peng, Po-Ching Lin
Venue: Journal of Network and Computer Applications (2009)

Traffic classification is an essential part in common network management applications such as intrusion detection and network monitoring. Identifying traffic by looking at port numbers is only suitable to well-known applications, while signature-based classification is not applicable to encrypted messages. Our preliminary observation shows that each application has distinct packet size distribution (PSD) of the connections. Therefore, it is feasible to classify traffic by analyzing the variances of packet sizes of the connections without analyzing packet payload. In this work, each connection is first transformed into a point in a multi-dimensional space according to its PSD. Then it is compared with the representative points of pre-defined applications and recognized as the application having a minimum distance. Once a connection is identified as a specific application, port association is used to accelerate the classification by combining it with the other connections of the same session because applications usually use consecutive ports during a session. Using the proposed techniques, packet size distribution and port association, a high accuracy rate, 96% on average, and low false positive and false negative rates, 4-5%, are achieved. Our proposed method not only works well for encrypted traffic but also can be easily incorporated with a signature-based method to provide better accuracy.
A hybrid approach to word segmentation and POS tagging
Authors: Tetsuji Nakagawa, Kiyotaka Uchimoto
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

In this paper, we present a hybrid method for word segmentation and POS tagging. The target languages are those in which word boundaries are ambiguous, such as Chinese and Japanese. In the method, word-based and character-based processing is combined, and word segmentation and POS tagging are conducted simultaneously. Experimental results on multiple corpora show that the integrated method has high accuracy.
Markov Chains and Stochastic Stability, 2nd edition
Authors: Sean Meyn, Richard L. Tweedie
Venue:  (2009)

Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the field since 1996 - many of them sparked by publication of the first edition. The pursuit of more efficient simulation algorithms for complex Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov chains. As a result, new applications have emerged across a wide range of topics including optimisation, statistics, and economics. New commentary and an epilogue by Sean Meyn summarise recent developments and references have been fully updated. This second edition reflects the same discipline and style that marked out the original and helped it to become a classic: proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background.
Robust design of products and processes
Authors: Corneliu Neagu, Madalin Catana
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

This paper presents a model for robust design, by means of a cost-based allocation of economic tolerances for products and/or processes. The concept of economic tolerance has evolved similarly to the concept of quality. For a long period of time, the manufacturers considered that the meeting of function-based tolerance limits set for products/processes represents a prerequisite for the satisfaction of quality requirements. However, Taguchi studies on quality brought a new perspective in judging and designing economic tolerances of products and/or processes. Following the ideas of Taguchi, a new model for economic tolerances design was developed by the authors and is presented in this paper. The proposed model may be considered an extension of Taguchi approach, by taking into account not only the Taguchi Loss Function but also a quality improvement costs function, referred shortly as the Additional Costs Function. The balance of the two functions yields the values of economic tolerances.
Learning with whom to communicate using relational reinforcement learning
Authors: Marc Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

Relational reinforcement learning (RRL) has emerged in the machine learning community as a new promising subfield of reinforcement learning (RL) (e.g. [1]). It upgrades RL techniques by using relational representations for states, actions and learned value-functions or policies to allow more natural representations and abstractions of complex tasks. This leads to a serious state space reduction, allowing to better generalize and infer new knowledge.
Keynote '08 Essential Training
Authors: David Rivers
Venue:  (2007)

Training specialist David Rivers teaches viewers how to use Keynote '08 to its full potential, from customizing the interface to editing and sharing professional presentations. He covers how to format text with columns and lists, add links, and insert graphics, photos, and animated effects. David concludes with how to export Keynote files to various formats, including Flash, HTML, MP3, PDF, and hardcopy. Exercise files accompany the tutorials.Topics Include:Customizing the Keynote interfaceCreating and editing slides and presentationsWorking with textInserting shapes and photosWorking with tables and chartsCreating transitions and object buildsSharing presentationsCreating custom themesDuration: 7.25 hoursOn 1 DVD-ROM 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
How to Cheat in Photoshop Elements 6: Create stunning photomontages on a budget
Authors: David Asch, Steve Caplin
Venue:  (2007)

How to Cheat in Elements 6 is an invaluable resource for all users of Photoshop Elements and shows you how to 'cheat' by sharing insider secrets from clever and cunning Elements gurus, David Asch and series forerunner, Steve Caplin.Compatible with previous releases of Elements, this is jam packed with dazzling tips and tricks, unearthed secrets, and creative techniques that challenge and inspire. Work through each section to build up your Photoshop Elements skills, creating everything from basic layer and masking effects right up to advanced manipulation. Or just dip right into a project to learn a new technique: * turn day into night* add snow, shadows and water to your scenes* make fire and smoke* give your car a respray...if you can imagine it, we can show you how to do it in Photoshop Elements! A full glossary of terms, useful keyboard shortcuts, and a detailed index will help you locate that fantastic technique in a flash. Follow the QuickTime movie tutorials on the CD, and use the high resolution royalty free images in your own creations . you can also ask questions, solve problems and meet other Elements users in the book's dedicated website, http://www.howtocheatinphotoshopelements.comOnce you have mastered the techniques in this book - the only limit is your imagination!David Asch is a freelance author and journalist specializing in Photoshop and Photoshop Elements image editing and manipulation.Steve Caplin is a graphic artist, illustrator, and journalist who loves to create photomontages that blur the line between illusion and reality.Note: Having trouble with the DVD? Visit http://www.howtocheatinphotoshopelements.com where you can find a link to download updated versions of the video files. Work through each section to build up your Photoshop Elements skills, creating everything from basic layer and masking effects right up to advanced manipulation. Or just dip right into a project to learn a new technique: * turn day into night* add snow, shadows and water to your scenes* make fire and smoke* give your car a respray.if you can imagine it, we can show you how to do it in Photoshop Elements!
Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets
Authors: Jiarui Ni, Longbing Cao, Chengqi Zhang
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

Artificial stock markets (ASMs) are very complex. Agent-based ASMs (ABASMs) have become quite popular in the research of ASMs. However, it is very hard and time consuming to design and implement an ABASM from scratch. This paper proposes a novel design of a framework for ABASMs based on our previous work on agent services-oriented architectural design (ASOAD). This design integrates service-oriented computing (SOC) and agent-based computing (ABC) to achieve a more powerful and flexible framework for ABASMs. The resulting system makes it easy to build actionable ASMs for experiments.
The impacts of customers’ delay-risk sensitivities on a queue with balking
Authors: Pengfei Guo, Paul Zipkin
Venue: Probability in the Engineering and Informational Sciences (2009)

Congestion and its uncertainty are big factors affecting customers’ decision to join a queue or balk. In a queueing system, congestion itself is resulted from the aggregate joining behavior of other customers. Therefore, the property of the whole group of arriving customers affects the equilibrium behavior of the queue. In this paper, we assume each individual customer has a utility function which includes a basic cost function, common to all customers, and a customer-specific weight measuring sensitivity to delay. We investigate the impacts on the average customer utility and the throughput of the queueing system of different cost functions and weight distributions. Specifically, we compare systems where these parameters are related by various stochastic orders, under different information scenarios. We also explore the relationship between customer characteristics and the value of information.
Scan Surveillance in Internet Networks
Authors: Khadija Ramah Houerbi, Kavé Salamatian, Farouk Kamoun
Venue: Proceedings of the 8th International IFIP-TC 6 Networking Conference (2009)

In recent years, many measurement studies have shown the ubiquity of scanning activities in the Internet and the growing sophistication of probing techniques that became more stealthy by stretching slowly over time or using spoofed source IP addresses. Scans are mainly generated by attackers trying to map the configuration of a target network and by computer worms trying to spread over the Internet. Although, the problem of scan detection has been given a lot of attention by network security researchers, current state-of-the-art methods still suffer from high percentage of false alarms or low ratio of scan detection. In this paper, we propose to detect changes in scanning patterns, by monitor variation of the distribution of scan features in a space spanned by IP source address, IP destination address, source port number, and destination port number. This gives insight on characteristics of scanning activities and exposes the presence of emerging scanning attacks and worms. For that, we propose to use an information theoretic-based approach to detect changes in distributions.
Brilliant New CLAIT 2006
Authors: Jackie Sherman
Venue:  (2007)

This new textbook uses the successful and acclaimed Brilliant formula to deliver complete and comprehensive coverage of all eight modules offered in the New CLAIT 2006 course, and to help the student pass the OCR exams. Aimed at the individual purchaser, this book delivers all of the background detail and coverage of the each module of the full syllabus, allowing a student to develop full knowledge and understanding of all aspects of the course, and will help them to identify any areas of weakness and thus to revise for and pass the exam. 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
Model-driven optimization of multihop wireless networks
Authors: Yin Zhang, Simon S. Lam
Venue:  (2008)

Interference is fundamental to wireless networks. It is hard to achieve good performance when design routing metrics or algorithms without taking it into account. We study interference in wireless networks through empirical experiments and simulations. We find out that current routing protocols face difficulties in effectively managing it, which can lead to severe problems. For instance, a simple network of two links with one flow is vulnerable to severe performance degradation if interference is not properly accounted for. Motivated by these observations, we develop a simple and effective model to capture effects of interference in a wireless network. Different from the existing interference models, our model captures IEEE 802.11 DCF under both homogeneous and heterogeneous traffic and link characteristics, and is simple enough to be directly used as a basic building block for wireless performance optimization. Based on this model, we develop optimization algorithms for several objectives, such as network throughput and fairness. Given traffic demands as input, these algorithms compute rates at which individual flows must send to achieve these objectives. We implement these algorithms in Qualnet simulations and 19-node testbed. Our experiment and simulation results show that our methods can systematically account for and control interference to achieve good performance. More specifically, when optimizing fairness, our methods can achieve almost perfect fairness; when optimizing network throughput, they can lead to 100-200% improvement for UDP traffic and 10-50% for TCP traffic.
Analyzing Network Coverage in Unstructured Peer-to-Peer Networks: A Complex Network Approach
Authors: Joydeep Chandra, Santosh Shaw, Niloy Ganguly
Venue: Proceedings of the 8th International IFIP-TC 6 Networking Conference (2009)

In this paper, we apply the theory predicting neighbor distribution of arbitrary random graphs to analyze the network coverage of the peers in unstructured peer-to-peer(p2p) networks that use TTL-based flooding mechanism for search and query. However, we find that for many cases, the theory cannot be directly applied to obtain correct estimate of network coverage due to the presence of certain types of edges that we refer as cross and back edges. It is also observed that the presence of cross and back edges in the p2p networks reduce the coverage of the peers and also generates large number of redundant messages, thus wasting precious bandwidth. We refine the theory and develop a model to estimate the network coverage of the peers in the presence of cross and back edges. We simulate our model for different networks with various degree distribution properties. The results indicate that our models provide good estimates of second neighbor and network coverage distribution. We perform a case study of the Gnutella networks to analyze the effects cross and back edges on network coverage and message complexity in these networks. Based on our study, we propose a new bootstrapping algorithm for Gnutella networks named HPC5 that substantially improves the network coverage and message complexity. The results have been validated using simulations.
A method for color classification of fruits based on machine vision
Authors: Changyong Li, Qixin Cao, Feng Guo
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

A dominant color histogram matching method for fruits classification was presented in this paper. In classification of fruits based on machine vision, image was acquired with a color CCD camera that outputted color information in three channels, red, green, and blue. Because traditional RGB color space couldn't meet subjective color sensation of human being, so color image needed to be transformed from RGB to HSV color space which represented human being's subjective color knowledge. However, the conversion result was still three-dimensional information that made determining color grades very difficult. A new color space conversion technique that could be implemented for high-speed real-time processing for color grading was introduced in this paper. The result of this technique was a simple one-dimensional array that represented different color levels. These colors were known as dominant colors of fruits. The technique reduced computation consumption greatly. Color histogram as a statistical feature had visual invariance and high robustness. The dominant color histogram matching method was used for color grading. Grade judgment result was given by calculating and comparing the similarity between the inspected sample histogram and standard template histogram for every grade, fruit sample would be assigned to the grade whose template had the biggest similarity with it. Experiment results show that dominant color histogram matching method has high accuracy in fruits' color classification.