ppxscal/embedding_network huggingface dataset:
Women in Technology
Authors: Tatiana Apandi
Venue:  (2007)

With a witty and insightful series of essays and interviews, Women in Technology looks at the challenges, rewards, and frustrations of being a female in the technology industry. Women coders, developers, designers, and programmers are a powerful force today. In this collection of articles, the authors share their personal experiences on what it takes to create a career in this field. Many of these women are involved with innovations at large corporations, others work in academia or independently, and some are taking risks with creative start-ups. But they all share a passion for what they do. This book gives voice to their real-world experiences and concerns of technology's female side. Originally published as a series on the O'Reilly Network, Women in Technology is the brainchild of Tatiana Apandi, an associate editor at O'Reilly. Topics tackled by the articles in this remarkable collection include: Where are all the women in technology? Many hold prominent positions as founders of successful companies, but we often forget to mention that in discussion. Social Engineering: An increasing number of women serve technical projects in what's often perceived as a nurturing role. Tech Startups: Why what is often considered the riskiest professional venture can be the most satisfying personal route. Are there more female-friendly programming languages? Consider the merits of Python for women. Is there gender inequality? Do you care? Or is it not a part of the equation for personal success at all? Face-to-face collaboration: Suggestions for how to build stronger tech communities, starting with making all feel welcome. And there is much more. This collection gives you a glimpse at the lives of female technologists. You will find that each viewpoint-from system administrators to CEOs, from those just beginning promising careers to the retired-expands and enriches the discussion of gender in our world today. 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
Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory
Authors: Shi-Shang Jang, David Shan-Hill Wong, Junghui Chen
Venue: Proceeding of the 2006 conference on Integrated Intelligent Systems for Engineering Design (2006)

Ability to rapidly design products and their manufacturing process is a key to being competitive in a dynamic market environment. Traditional methods of design of experiment development are unsatisfactory when applied to design problems with large number of input variables and nonlinear input-output relation. A meta-model driven experimental design scheme is developed. The approach uses artificial neural network as the meta-model, and a combination of random-search, fuzzy classification, and information theory as the design tool. An information free energy index is developed which balances the needs for resolving the uncertainty of the model and the relevance to finding the optimal design. The procedure involves iterative steps of meta-model construction, designing new experiments using meta-model and actual execution of designed experiments. The effectiveness of this approach is benchmarked using a simple optimization problem. Three industrial examples are presented to illustrate its applicability to a variety of design problem.
A system to extract social networks based on the processing of information obtained from Internet
Authors: Xavi Canaleta, Pablo Ros, Alex Vallejo, David Vernet, Agustín Zaballos
Venue: Proceeding of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (2008)

The amount of information available on Internet increases by the day. This constant growth makes it difficult to distinguish between information which is relevant and which is not, particularly in key areas which are of strategic interest to business and universities or research centres. This article presents an automatic system to extract social networks: a software designed to generate social networks by exploiting information which is already available on Internet through the use of common search engines such as Google or Yahoo. Furthermore, the metrics used to calculate the affinities between different actors in order to confirm the real ties which connect them and the methods to extract the semantic descriptions of each actor are presented. This represents the innovative part of this research.
Build a Website for Free, 1st edition
Authors: Mark Bell
Venue:  (2009)

Build a Website for Free Build yourself a state-of-the-art website.Its incredibly easy... and it wont cost you a dime! You need a website. But you dont need the hassles that usually go with building one, or the expense of hiring someone else to do it. Heres your solution: Build a Website for Free!Youll learn how you can use new Web 2.0 technologies to create a site thats impressive and effective. And heres the best part: Youll do it all with software and tools that wont cost you a dime! Plan, organize, and design a site that really works, using tools you can find for free Discover the simple secrets of writing pages people want to read Use video on your siteand get someone else to pay for hosting it Add an easy-to-update blog and start building your own web community Quickly and easily handle nuts and bolts tasks, from getting your site name to uploading your content Get your site picked up by Google, Yahoo!, and other search engines Adapt your site for easy viewing on cell phones Mark Bell is a Ph.D. student in the Indiana University Telecommunications department. He studies virtual worlds and mediated trust with the Synthetic Worlds Initiative and has spent 15 years in the computer industry. Mark created his first website in 1992, ran a web design company in the 90s, and consults on several academic web projects. CATEGORY: Internet/Web
Critical analysis of GHG emissions generate by the fossil fuel power plant
Authors: Cristian Dinca, Cosmin Marculescu, Adrian Badea, Cora Gheorghe
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

In this paper the authors have compared the technology using the natural gas and coal in order to produce the electricity. The objective of this paper consists in evaluation of the life cycle assessment of the natural gas and coal in order to compare its GHG emissions. Three systems with and without CCS were examined: one using the natural gas - the natural gas combined cycle (NGCC) and two using the coal: pulverized coal with sub-critical and super-critical parameters and integrated gasification combined cycle.
Nanotechnology & nanomaterials in architecture
Authors: Pelin Yildiz
Venue: Proceedings of the 8th WSEAS international conference on Microelectronics, nanoelectronics, optoelectronics (2009)

Architecture and building technology on the basis of nanobiobuilding structure and nanomaterials are going through some significant changes and developments. Nanotechnology is one of the most important symptom in between twenty-first century's key technologies while its economic impact is another subject to be recognized. New materials are being discovered and developed everyday as a result of investigating ways to achieve molecular and atomic precision in engineering of materials. These new materials present new opportunities to solve problems like heat absorbing windows, energy coatings etc. Smart buildings concerning biodegradable features and nanobiobuilding facilities are current architectural aspects of space design. Designers should be capable of new innovations of architecture as nanomaterials during design process. The Nanohouse is a new type of ultra-energy efficient house exploiting the new materials being developed by nanotechnology. HydroHouse uses natural airflow and seawater to cool and humidify the greenhouse. Seawater is evaporated at the facades of the greenhouse; as air passes into the greenhouse it increases in humidity. But the smart part is in the structural columns, which also serve as supports for the growing racks. When it rains, fresh rainwater is allowed to trickle down from the roof, within the cylindrical columns. In architecture and the construction industry it it is capable of leading the building structure and architecture to an optimum level, for instance the coating of surfaces to lend them functional characteristics such as increased tensile strength, self-cleaning capacity, fire resistance, and many other capacities. The future of the nanotechnology field depends on our ability to assemble nanoparticles into 3D structures we can use to develop new technologies. Nanomaterials are not only useful for some partial requirements like roofs and facades; they also expand some design possibilities for interior and exterior spaces. Nano-insulating materials open up new possibilities both for sustainable design strategies and architects. Nanotechnology on the near horizon, may take building enclosure materials (coatings, panels and insulation) to a maximum capacity of performance in terms of energy, light, security and intelligence. Even these first steps into the world of nanotechnology could significantly improve the nature of building structure and efficiency and the way our buildings relate to environment. The development of carbon nanotubes and other breakthrough materials could affect building design and performance. Brief definitions of nanotechnology, nanobiobuildings, smart buildings, nanomaterials are the main approaches of this Plenary Speech identifying technology based design.
Activity Theory as a conceptual framework for understanding teacher approaches to Information and Communication Technologies
Authors: Ilias Karasavvidis
Venue: Computers Education (2009)

While the issue of teachers' perspectives on the barriers to technology use has received considerable attention, teacher concerns have not been studied in a systematic and holistic way. The present paper examines teacher concerns regarding a proposed technology-based innovation using Activity Theory as a theoretical framework. Fifty-one teachers participated in an inservice blended learning course in which a real-life Computer Supported Collaborative Learning example was presented and subsequently discussed in the online forum. The teachers were asked under which conditions they thought Computer Supported Collaborative Learning could be incorporated into their daily practices. Teacher concerns were identified through their online posts. Time and curriculum constraints were reported by teachers as the main obstacles to the proposed technological innovation. The examination of these obstacles using Activity Theory helped to identify three major contradictions in teachers' activity system: (a) within the object of activity, (b) between the mediational means and the object of activity and (c) between the current and the proposed object. These contradictions are discussed from the perspective of Activity Theory and their implications for the design and implementation of technology are drawn.
Pose independent object classification from small number of training samples based on kernel principal component analysis of local parts
Authors: Kazuhiro Hotta
Venue: Image and Vision Computing (2009)

This paper presents a pose independent classification method from a small number of training samples based on kernel principal component analysis (KPCA) of local parts. Pose changes induce large non-linear variation in feature space of global features. Therefore, conventional methods require multiple poses in training. However, the influence of pose changes in local features is less than that in global features because the global configuration is much influenced. The difference of distributions of local parts cropped from different poses is not so large. If the distribution of local parts cropped from typical poses is modeled, it is robust to unknown poses. Since the distribution of local parts is non-linear, KPCA is used to model the feature space specialized of each class. Class-featuring information compression (CLAFIC) is used to compute the similarity with subspace. In CLAFIC of KPCA, the similarity with certain class is computed by the weighted sum of the similarities with training local parts. Since many local parts are cropped from the input, voting, summation, and median rules are used to combine the similarities of all local parts. Robustness to pose variation is evaluated using the face images of five poses of 300 subjects. Although only frontal and profile views are used in training, the recognition rates to unknown poses are more than 90%. Effectiveness is shown by the comparison with linear PCA of local parts and global features based methods. In addition, the proposed method can be applied easily to the recognition problem of various kinds of 3D objects because it does not require many poses in training or preprocessing such as accurate correspondence between images. The robustness to pose variation and ease of applications are demonstrated using COIL 100 database.
Biologically inspired evolutionary computing tools for the extraction of fetal electrocardiogram
Authors: Ravi Kumar Jatoth, Saladi S. V. K. K. Anoop, Ch. Midhun Prabhu
Venue: WSEAS Transactions on Signal Processing (2009)

Signals recorded from the human body provide valuable information about the biological activities of body organs. The spectral properties of different organs help in medical diagnosis. Even small changes in functioning of organs is indicated by the changes in their spectra. Fetal heart rate extraction from the abdominal ECG is of great importance because the information carried by it is helpful in assessing appropriately the fetus well-being during pregnancy. Fetal ECG is always contaminated by a drift and interference caused by several bioelectric phenomena, or by various types of noise, such as intrinsic noise from the recorder and noise from electrode-skin contact. The low Signal to noise Ratio of fetal ECG makes it difficult to analyze it effectively. Accurate detection of QRS complex is a pre-requisite in the assessment of fetal heart beat. In this paper we utilize an intelligent Adaptive Filter for noise cancellation in the effective extraction and analysis of fetal ECG. The PSO based adaptive noise cancellation technique is shown to be superior to the conventional FIR adaptive filtering.
Brief Communication: The gene network determining development of Drosophila melanogaster mechanoreceptors
Authors: Dagmara P. Furman, Tatyana A. Bukharina
Venue: Computational Biology and Chemistry (2009)

Macrochaetes (large bristles), functioning as mechanoreceptors, are located in an orderly fashion on the drosophila head and body forming a species-specific bristle pattern. A simple organization of each bristle organ, comprising only four specialized cells, and conservation of bristle pattern make macrochaetes a convenient model for studying the development patterns of spatial structures with a fixed number of elements at certain positions and the mechanisms of cell differentiation. In this work, we systematize the experimental data on the main genes and their products that are involved in the control of proneural clusters in the ectoderm of imaginal discs and determination of the sensory organ precursor (SOP) cell within the proneural clusters. The computer system GeneNet was used to reconstruct the gene network controlling these stages of macrochaete development, which are critical for the formation of a correct bristle pattern. The role of achaete-scute complex and EGFR and Notch signaling pathways and the regulatory mechanisms acting in this gene network are discussed.
NICT-ATR speech-to-speech translation system
Authors: Eiichiro Sumita, Tohru Shimizu, Satoshi Nakamura
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

This paper describes the latest version of speech-to-speech translation systems developed by the team of NICT-ATR for over twenty years. The system is now ready to be deployed for the travel domain. A new noise-suppression technique notably improves speech recognition performance. Corpus-based approaches of recognition, translation, and synthesis enable coverage of a wide variety of topics and portability to other languages.
Constructing a nationwide database from integration of heterogeneous in-service training data
Authors: Lung-Hsing Kuo, Li-Min Chen, Hung-Jen Yang, Hsieh-Hua Yang, Jui-Chen Yu
Venue: Proceedings of the 8th Wseas international conference on Telecommunications and informatics (2009)

The integration of heterogeneous in-service training data offers possibilities to manually and automatically draw up new information of professional human resources, which are not available when using only a single data source. Furthermore, it allows for a consistent representation and the propagation of updates from one data set to the others. However, different acquisition methods, data schemata and updating cycles of the content can lead to discrepancies in professions and expertise accuracy and correctness which hamper the combined integration. To overcome these difficulties, appropriate methods for the integration and harmonization of data from different sources and different types are needed. In this study, twenty-five databases were integrated into one national level database. More than 220,000 K--12 teachers' in-service training data were collected through out this heterogeneous databases integrating project. A unified subject-category was introduced based upon both the teaching professions and administration professions so as to absorb all twenty-five sources. The integrated feasibility was evaluated according to the efficiency and correctness.
Unified theory of augmented Lagrangian methods for constrained global optimization
Authors: Chang-Yu Wang, Duan Li
Venue: Journal of Global Optimization (2009)

We classify in this paper different augmented Lagrangian functions into three unified classes. Based on two unified formulations, we construct, respectively, two convergent augmented Lagrangian methods that do not require the global solvability of the Lagrangian relaxation and whose global convergence properties do not require the boundedness of the multiplier sequence and any constraint qualification. In particular, when the sequence of iteration points does not converge, we give a sufficient and necessary condition for the convergence of the objective value of the iteration points. We further derive two multiplier algorithms which require the same convergence condition and possess the same properties as the proposed convergent augmented Lagrangian methods. The existence of a global saddle point is crucial to guarantee the success of a dual search. We generalize in the second half of this paper the existence theorems for a global saddle point in the literature under the framework of the unified classes of augmented Lagrangian functions.
Experiments on the France telecom 3000 voice agency corpus: academic research on an industrial spoken dialog system
Authors: Géraldine Damnati, Frédéric Béchet, Renato De Mori
Venue: Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies (2007)

The recent advances in speech recognition technologies, and the experience acquired in the development of WEB or Interactive Voice Response interfaces, have facilitated the integration of speech modules in robust Spoken Dialog Systems (SDS), leading to the deployment on a large scale of speech-enabled services. With these services it is possible to obtain very large corpora of human-machine interactions by collecting system logs. This new kinds of systems and dialogue corpora offer new opportunities for academic research while raising two issues: How can academic research take profit of the system logs of deployed SDS in order to build the next generation of SDS, although the dialogues collected have a dialogue flow constrained by the previous SDS generation? On the other side, what immediate benefits can academic research offer for the improvement of deployed system? This paper addresses these aspects in the framework of the deployed France Telecom 3000 Voice Agency service.
Development of Role Model Based e-Portfolio for Multi-Career Path Support
Authors: Kayo Ogawa, Michiaki Omura, Ayaka Kuroda, Shoji Kajita, Kashiko Kodate
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

Our “multi-career paths (MCP)” program using “Role-model based e-portfolio (RMP)” is a support system to help students find their appropriate career, by presenting them with role models to imitate. Although the RMP was originally intended for the use of students' on-campus only, this paper extends it to alumnae as well. To archive it, the method for calculating students' achievements was readjusted, adding new information such as certificates they hold and the results of assessments in recommended subjects. This system was evaluated in the MCP program, and the obtained results demonstrated its effectiveness.
Using metaprogramming to implement a testing framework
Authors: Hyun Cho
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

Testing plays an important role in improving software quality. However, test preparation, execution, and report analysis are labor-intensive tasks that require different activities and methods to obtain benefit from the testing process. This poster describes an investigation into the use of metaprogramming, which can reflect the internals of a system, to implement a common test framework that can be used to reduce the burden for test preparation in unit and system testing. The framework focuses on generating instrumented Java bytecode based on several sources of input (e.g., source code or bytecode, and information provided by each test case). Both load-time and compile-time metaprograms are used within the framework to inform the testing process.
Transient solutions for multi-server queues with finite buffers
Authors: Winfried K. Grassmann, Javad Tavakoli
Venue: Queueing Systems: Theory and Applications (2009)

Transient solutions for M/M/c queues are important for staffing call centers, police stations, hospitals and similar institutions. In this paper we show how to find transient solutions for M/M/c queues with finite buffers by using eigenvalues and eigenvectors. To find the eigenvalues, we create a system of difference equations where the coefficients depend on a parameter x. These difference equations allow us to search for all eigenvalues by changing x. To facilitate the search, we use Sturm sequences for locating the eigenvalues. We also show that the resulting method is numerically stable.
Reversible Interpolation of Vectorial Images by an Anisotropic Diffusion-Projection PDE
Authors: Anastasios Roussos, Petros Maragos
Venue: International Journal of Computer Vision (2009)

In this paper, a nonlinear model for the interpolation of vector-valued images is proposed. This model is based on an anisotropic diffusion PDE and performs an interpolation that is reversible. The interpolation solution is restricted to the subspace of functions that can recover the discrete input image, after an appropriate smoothing and sampling. The proposed nonlinear diffusion flow lies on this subspace while its strength and anisotropy adapt to the local variations and geometry of image structures. The derived method effectively reconstructs the real image structures and yields a satisfactory interpolation result. Compared to classic and other existing PDE-based interpolation methods, our proposed method seems to increase the accuracy of the result and to reduce the undesirable artifacts, such as blurring, ringing, block effects and edge distortion. We present extensive experimental results that demonstrate the potential of the method as applied to graylevel and color images.