ppxscal/embedding_network huggingface dataset:
Ambient Intelligence and Knowledge Processing in Distributed Autonomous AAL-Components
Authors: Ralph Welge, Helmut Faasch, Eckhard C. Bollow
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

With the development of computers regarding integration, size and performance we observe a quick increase of computational intelligence into all areas of our daily life. It is shown how to build Ad-Hoc-networks with our middleware to generate emergent intelligence in the behavior of the complete networks. Our approach shows the application of AAL-components (components for ambient assisted living (AAL)). Here we have as well the questions of sustainable development: increasing consumption of resources and energy in the production phase, reduced periods of use phases. Ambient computing and ambient intelligence show a high potential to modify the society's treatment of resources and energy. The interaction with "intelligent" things will change our conception of production and consumption.
Proceedings of the 1st ACM workshop on Mobile internet through cellular networks
Venue: International Conference on Mobile Computing and Networking (2009)

It is our great pleasure to welcome you to the 1th ACM Workshop on Mobile Internet through Cellular Networks - Operations Challenges and Solutions (MICNET)--MICNET'09. Our workshop brings together the wireless mobility research community as well as the vendor and operator community to share the recent advances in wireless cellular technology and their views on the future mobile Internet. The mission of the workshop is to identify new issues from the operational realities of cellular networks, and to formulate and present new problems to the research community. MICNET offers researchers, vendors, and operators a unique opportunity to share their perspectives with others interested in the various aspects of mobile Internet. The call for papers attracted 15 submissions from Australia, China, Iran, Korea and USA. The program committee accepted 10 papers that cover a variety of topics, including mobility and monitoring, protocol and algorithm, performance-enhancing techniques for mobile Internet. In addition, the program includes two panels and a keynote speech. We hope that this workshop will offer a valuable venue for researchers and developers of mobile Internet.
Evolving Artificial Neural Networks Using GA and Momentum
Authors: Huawang Shi
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Neural network learning methods provide a robust approach to approximating real-valued, discrete-valued and vector-valued target functions. Artificial neural networks are among the most effective learning methods currently known for certain types of problems. But BP training algorithm is based on the error gradient descent mechanism that the weight inevitably fall into the local minimum points. Genetic Algorithms (GAs) is good at global searching, and search for precision appears to be partial capacity inadequate. So, in this paper, the genetic operators were carefully designed to optimize the neural network, avoiding premature convergence and permutation problems. And with the momentum to solve the slow convergence problem of BP algorithm. To evaluate the performance of the genetic algorithm-based neural network, BP neural network was also involved for a comparison purpose. The results indicated that Gas and with momentum were successful in evolving ANNs. 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
Secure EPC Gen2 Compliant Radio Frequency Identification
Authors: Mike Burmester, Breno Medeiros, Jorge Munilla, Alberto Peinado
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

The increased functionality of EPC Class1 Gen2 (EPCGen2) is making this standard a de facto specification for inexpensive tags in the RFID industry. Recently three EPCGen2 compliant protocols that address security issues were proposed in the literature. In this paper we analyze these protocols and show that they are not secure and subject to replay/impersonation and statistical analysis attacks. We then propose an EPCGen2 compliant RFID protocol that uses the numbers drawn from synchronized pseudorandom number generators (RNG) to provide secure tag identification and session unlinkability. This protocol is optimistic and its security reduces to the (cryptographic) pseudorandomness of the RNGs supported by EPCGen2.
A Higher-Order Graph Calculus for Autonomic Computing
Authors: Oana Andrei, Hélène Kirchner
Venue: Graph Theory, Computational Intelligence and Thought: Essays Dedicated to Martin Charles Golumbic on the Occasion of His 60th Birthday (2009)

In this paper, we present a high-level formalism based on port graph rewriting, strategic rewriting, and rewriting calculus. We argue that this formalism is suitable for modeling autonomic systems and briefly illustrate its expressivity for modeling properties of such systems.
Handling Class Imbalance Problems via Weighted BP Algorithm
Authors: Xiaoqin Wang, Huaxiang Zhang
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

When using Neural Networks (NN) to handle class imbalance problems, there exists a fact that minority class makes less contribution to the error function than the majority class, so the network learned prefers to recognizing majority class data which we pay less attention to. This paper proposes a novel algorithm WNN (Weighted NN) to solve this problem using a newly defined error function in BP (BP) algorithm. Experimental results executed on 20 UCI datasets show that the approach can effectively enhance the recognition rate of minority class data.
Plaintext Recovery Attacks against SSH
Authors: Martin R. Albrecht, Kenneth G. Paterson, Gaven J. Watson
Venue: Proceedings of the 2009 30th IEEE Symposium on Security and Privacy (2009)

This paper presents a variety of plaintext-recovering attacks against SSH. We implemented a proof of concept of our attacks against OpenSSH, where we can verifiably recover 14 bits of plaintext from an arbitrary block of ciphertext with probability $2^{-14}$ and 32 bits of plaintext from an arbitrary block of ciphertext with probability $2^{-18}$. These attacks assume the default configuration of a 128-bit block cipher operating in CBC mode. The paper explains why a combination of flaws in the basic design of SSH leads implementations such as OpenSSH to be open to our attacks, why current provable security results for SSH do not cover our attacks, and how the attacks can be prevented in practice.
Demo abstract: Sensornet checkpointing between simulated and deployed networks
Authors: Fredrik Osterlind, Adam Dunkels, Zhitao He, Nicolas Tsiftes
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

Sensor network development is notoriously difficult due to the low visibility of sensor platforms and systems. We propose sensornet checkpointing to increase the visibility of sensor networks. With sensornet checkpointing, we transfer network-wide application checkpoints between simulated and real networks. This approach enable advances in many research areas: visualization, repeatable experiments, fault injection, and application debugging. We demonstrate sensornet checkpointing on a network of Tmote Sky motes running Contiki.
Exploring the Use of Discrete Gestures for Authentication
Authors: Ming Ki Chong, Gary Marsden
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

Research in user authentication has been a growing field in HCI. Previous studies have shown that peoples' graphical memory can be used to increase password memorability. On the other hand, with the increasing number of devices with built-in motion sensors, kinesthetic memory (or muscle memory) can also be exploited for authentication. This paper presents a novel knowledge-based authentication scheme, called gesture password, which uses discrete gestures as password elements. The research presents a study of multiple password retention using PINs and gesture passwords. The study reports that although participants could use kinesthetic memory to remember gesture passwords, retention of PINs is far superior to retention of gesture passwords.
Analysis of Internet Specific Area Topology Properties
Authors: Zhenhan Wei, Ming Chen, Honghua Zhao
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

The characteristics of Internet specific area router-level topology are lack of research. Based on skitter data provided by CAIDA and the IP addresses allocation information provided by ICANN, we extract the IP paths in 4 Asia-Pacific countries and aggregate them into router-level topologies by domain name. The network size and general topology properties of 4 countries are analyzed and compared. Analysis results show that every country network topology has similar properties on several metrics. The power law does not fit the degree distribution of main Asia-Pacific country topologies strictly, which is different from the research result of AS-level topology.
A pattern-based nearest neighbor search approach for promoter prediction using DNA structural profiles
Authors: Yanglan Gan, Jihong Guan, Shuigeng Zhou
Venue: Bioinformatics (2009)

Motivation: Identification of core promoters is a key clue in understanding gene regulations. However, due to the diverse nature of promoter sequences, the accuracy of existing prediction approaches for non-CpG island (simply CGI)-related promoters is not as high as that for CGI-related promoters. This consequently leads to a low genome-wide promoter prediction accuracy. Results: In this article, we first systematically analyze the similarities and differences between the two types of promoters (CGI-and non-CGI-related) from a novel structural perspective, and then devise a unified framework, called PNNP (Pattern-based Nearest Neighbor search for Promoter), to predict both CGI-and non-CGI-related promoters based on their structural features. Our comparative analysis on the structural characteristics of promoters reveals two interesting facts: (i) the structural values of CGI-and non-CGI-related promoters are quite different, but they exhibit nearly similar structural patterns; (ii) the structural patterns of promoters are obviously different from that of non-promoter sequences though the sequences have almost similar structural values. Extensive experiments demonstrate that the proposed PNNP approach is effective in capturing the structural patterns of promoters, and can significantly improve genome-wide performance of promoters prediction, especially non-CGI-related promoters prediction. Availability: The implementation of the program PNNP is available at http://admis.tongji.edu.cn/Projects/pnnp.aspx. Contact:jhguan@tongji.edu.cn; sgzhou@fudan.edu.cn Supplementary information:Supplementary data are available at Bioinformatics online.
XSL-FO 2.0: automated publishing for graphic documents
Authors: Fabio Giannetti
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

The W3C (World Wide Web Consortium) is in the process of developing the second major version of XSL-FO (eXtensible Stylesheet Language - Formatting Objects) [1], the formatting specification component of XSL. XSL-FO is widely deployed in industry and academia where multiple output forms (typically print and online) are needed from single source XML. It is used in many diverse applications and countries on a large number of implementations to create technical documentation, reports and contracts, terms and conditions, invoices and other forms processing, such as driver's licenses, postal forms, etc. XSL-FO is also widely used for heavy multilingual work because of the internationalization aspects provided in 1.0 to accommodate multiple and mixed writing modes (writing directions such as left-to-right, top-to-bottom, right-to-left, etc.) of the world's languages. The primary goals of the W3C XSL Working Group in developing XSL 2.0 are to provide more sophisticated formatting and layout, enhanced internationalization to provide special formatting objects for Japanese and other Asian and non-Western languages and scripts and to improve integration with other technologies such as SVG (Scalable Vector Graphics) [2] and MathML (Mathematical Markup Language) [3]. A number of XSL 1.0 implementations already support dynamic inclusion of vector graphics using W3C SVG. The XSL and SVG WGs want to define a tighter interface between XSL-FO and SVG to provide enhanced functionality. Experiments [4] with the use of SVG paths to create non-rectangular text regions, or "run-arounds", have helped to motivate further work on deeper integration of SVG graphics inside XSL-FO documents, and to work with the SVG WG on specifying the meaning of XSL-FO markup inside SVG graphics. A similar level of integration with MathML is contemplated.
Mismatch and conflict: Neurophysiological and behavioral evidence for conflict priming
Authors: Ralph Mager, Sven G. Meuth, Kurt Kräuchi, Maria Schmidlin, Franz Müller-Spahn, Michael Falkenstein
Venue: Journal of Cognitive Neuroscience (2009)

Conflict-related cognitive processes are critical for adapting to sudden environmental changes that confront the individual with inconsistent or ambiguous information. Thus, these processes play a crucial role to cope with daily life. Generally, conflicts tend to accumulate especially in complex and threatening situations. Therefore, the question arises how conflict-related cognitive processes are modulated by the close succession of conflicts. In the present study, we investigated the effect of interactions between different types of conflict on performance as well as on electrophysiological parameters. A task-irrelevant auditory stimulus and a task-relevant visual stimulus were presented successively. The auditory stimulus consisted of a standard or deviant tone, followed by a congruent or incongruent Stroop stimulus. After standard prestimuli, performance deteriorated for incongruent compared to congruent Stroop stimuli, which were accompanied by a widespread negativity for incongruent versus congruent stimuli in the event-related potentials (ERPs). However, after deviant prestimuli, performance was better for incongruent than for congruent Stroop stimuli and an additional early negativity in the ERP emerged with a fronto-central maximum. Our data show that deviant auditory prestimuli facilitate specifically the processing of stimulus-related conflict, providing evidence for a conflict-priming effect.
Lexical reference: a semantic matching subtask
Authors: Oren Glickman, Eyal Shnarch, Ido Dagan
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

Semantic lexical matching is a prominent subtask within text understanding applications. Yet, it is rarely evaluated in a direct manner. This paper proposes a definition for lexical reference which captures the common goals of lexical matching. Based on this definition we created and analyzed a test dataset that was utilized to directly evaluate, compare and improve lexical matching models. We suggest that such decomposition of the global semantic matching task is critical in order to fully understand and improve individual components.
4-Views Display System for Collaborative Tasks on Round Table
Authors: Mitsuru Okumura, Kunio Sakamoto
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

This paper describes 4-views display system that can be viewed from any direction (i.e., the display has four viewing zones so as to perceive a screen view of the display at all directions around a table). The authors have ever researched information display systems involving 3D imaging. However, a conventional monitor display is viewed from one direction, that is, the display has narrow viewing angle and observers cannot view the screen from the opposite side. Hence we developed a tabletop display system for collaborative tasks cooperated by two users. This tabletop display can provide different images to two users surrounding the system utilizing the image splitting technologies for displaying a stereoscopic 3D image. The viewing zones of this display are generated at both sides in front of observers' eyes. But screens on the monitor cannot be viewed correctly by all users from any direction. Thus, conventional display systems enable users not to do collaborative tasks on the round table. To solve this problem, we developed new viewing systems.
JADE: a framework for interactives graphical applications development
Authors: Raphael Cerqueira, Eduardo M. F. Jorge
Venue: Proceedings of the 2008 Euro American Conference on Telematics and Information Systems (2008)

The software development process can be extremely complex, especially when taking into consideration user interface and usability issues. In order to develop simple and transparency-focused applications, developer's must put in too much effort. At the same time, making a software usable in the users point-of-view increases overall acception and interest. This article describes the development of the JADE framework, directed to graphical applications that are focused in usability. The framework contributes to decrease the development curve by providing structured codes written in C++ based on well known design-patterns.
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
Authors: Bashar Awwad Shiekh Hasan, John Q. Gan
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

In this paper we present a sequential expectation maximization algorithm to adapt in an unsupervised manner a Gaussian mixture model for a classification problem. The goal is to adapt the Gaussian mixture model to cope with the non-stationarity in the data to classify and hence preserve the classification accuracy. Experimental results on synthetic data show that this method is able to learn the time-varying statistical features in data by adapting a Gaussian mixture model online. In order to control the adaptation method and to ensure the stability of the adapted model, we introduce an index to detect when the adaptation would fail.
Research in Enterprise Applications of Dynamic Web Service Composition Methods and Models
Authors: Qing-Ming Wang, Yong Tang, Zan-Bo Zhang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

The paper summarizes current technologies of dynamic web service composition. Then, based on the existing technologies, we raise a new solution for dynamic web service composition. We make use of the knowledge of domain ontology. On the one hand, the user’s requirement was broken down into a series of abstract web services, according to the logic of business processes. On the other hand, through establishing the web service index storehouse, we gather the existing atomic services and composite services in domain ontology. By semantic matching between the abstract services and the atomic services or the composite services, the executable web services composition could be obtained. Finally, an application example of the solution is showed.
Study on Application of a Case for Robots
Authors: Qi Yan-ming, Zhang Xuezheng, Yu Shuo
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

There have obtained a lot extensive advances by unified ambimorphic algorithms, including the Ethernet and lambda calculus. Because the current status of decentralized methodologies was given, mathematicians daringly desire the development with superpages. According to use psychoacoustic epistemologies to demonstrate that the famous extensible algorithm for the confusing unification of DHCP and extreme programming is impossible. To solve this question for the evaluation of journaling file systems, an analysis of compilers was described, we explored a novel heuristic for the evaluation of I/O automata (Col), which we used to validate that the infamous symbiotic algorithm for the improvement of IPv6 is recursively enumerable.
Lifted first-order belief propagation
Authors: Parag Singla, Pedro Domingos
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, inference in them is generally still at the level of propositional logic, creating all ground atoms and formulas and applying standard probabilistic inference methods to the resulting network. Ideally, inference should be lifted as in first-order logic, handling whole sets of indistinguishable objects together, in time independent of their cardinality. Poole (2003) and Braz et al. (2005, 2006) developed a lifted version of the variable elimination algorithm, but it is extremely complex, generally does not scale to realistic domains, and has only been applied to very small artificial problems. In this paper we propose the first lifted version of a scalable probabilistic inference algorithm, belief propagation (loopy or not). Our approach is based on first constructing a lifted network, where each node represents a set of ground atoms that all pass the same messages during belief propagation. We then run belief propagation on this network. We prove the correctness and optimality of our algorithm. Experiments show that it can greatly reduce the cost of inference.
Looking for the Image of Modernization: The Story of Made in Taiwan (MIT)
Authors: Ju-Joan Wong
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

Beginning in the 1980s, Taiwan's most vigorous global economic activity trade department faced several difficult issues in succession. Reversing this unfavorable situation by improving the MIT product image in international markets was seen as the solution to these issues. This paper analyzes the cultural contents of those economic and trade policies, and reveals how Taiwan, a marginal state forced by the wave of globalization, constructed a national identity by improving the product image of MIT. Furthermore, this process demonstrates Taiwan's desire to be a `modern' nation among the developing countries. Based on the above, this paper argues that `Taiwan's modern design movement' was promoted by MIT discourses through a succession of economic and trade policies. Besides declaring an aesthetic form, this movement also was one of nationalism. However, whether modern design or nationalism movement, both are transcended by the reasonable manipulation of capitalism, and become ideological bubbles.