ppxscal/embedding_network huggingface dataset:
Comparison of Genomic Sequences Clustering Using Normalized Compression Distance and Evolutionary Distance
Authors: Massimo Rosa, Riccardo Rizzo, Alfonso Urso, Salvatore Gaglio
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a long procedure and the obtained dissimilarity results is not a metric. Recently the normalized compression distance was introduced as a method to calculate the distance between two generic digital objects, and it seems a suitable way to compare genomic strings. In this paper the clustering and the mapping, obtained using a SOM, with the traditional evolutionary distance and the compression distance are compared in order to understand if the two distances sets are similar. The first results indicate that the two distances catch different aspects of the genomic sequences and further investigations are needed to obtain a definitive result.
A Control Algorithm for Multiscale Simulations of Liquid Water
Authors: Evangelos M. Kotsalis, Petros Koumoutsakos
Venue: Proceedings of the 8th international conference on Computational Science, Part II (2008)

We present multiscale simulations of liquid water using a novel control algorithm to couple non-periodic molecular dynamics (MD) and continuum descriptions in the context of a Schwarz alternating method. In the present multiscale approach the non-periodic MD simulations are enhanced by an effective external boundary force that accounts for the virial component of the pressure and eliminates spurious density oscillations close to the boundary. This force is determined by a simple control algorithm that enables coupling of the atomistic description to a coarse grained or a continuum description of liquid water. The proposed computational method is validated in the case of equilibrium and parallel flow.
Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web
Authors: Katharina Probst, Rayid Ghani, Marko Krema, Andy Fano, Yan Liu
Venue: From Web to Social Web: Discovering and Deploying User and Content Profiles: Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006. Revised Selected and Invited Papers (2007)

We describe an approach to extract attribute-value pairs from product descriptions in order to augment product databases by representing each product as a set of attribute-value pairs. Such a representation is useful for a variety of tasks where treating a product as a set of attribute-value pairs is more useful than as an atomic entity. We formulate the extraction task as a classification problem and use Naïve Bayes combined with a multi-view semi-supervised algorithm (co-EM). The extraction system requires very little initial user supervision: using unlabeled data, we automatically extract an initial seed list that serves as training data for the semi-supervised classification algorithm. The extracted attributes and values are then linked to form pairs using dependency information and co-location scores. We present promising results on product descriptions in two categories of sporting goods products. The extracted attribute-value pairs can be useful in a variety of applications, including product recommendations, product comparisons, and demand forecasting. In this paper, we describe one practical application of the extracted attribute-value pairs: a prototype of an Assortment Comparison Tool that allows retailers to compare their product assortments to those of their competitors. As the comparison is based on attributes and values, we can draw meaningful conclusions at a very fine-grained level. We present the details and research issues of such a tool, as well as the current state of our prototype.
Dynamic duty cycle and adaptive contention window based QoS-MAC protocol for wireless multimedia sensor networks
Authors: Navrati Saxena, Abhishek Roy, Jitae Shin
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2008)

Rapid penetration of small, customized wireless devices and enormous growth of wireless communication technologies has already set the stage for large-scale deployment of wireless sensor networks. While the need to minimize the energy consumption has driven significant researches in wireless sensor networks, offering some precise quality of service (QoS) for multimedia transmission over sensor networks has not received significant attention. However, the emerging new applications like video surveillance, telemedicine and traffic monitoring needs transmission of wireless multimedia over sensor networks. Naturally, offering some better QoS for wireless multimedia over sensor networks raises significant challenges. The network needs to cope up with battery-constraints, while providing improved QoS (end-to-end delay and bandwidth requirement). This calls for a suitable sensory MAC protocol capable of achieving application-specific QoS. In this paper, we have proposed a new QoS-based sensory MAC protocol, which not only adapts to application-oriented QoS, but also attempts to conserve energy without violating QoS-constraints. Performance modeling, analysis and simulation results demonstrate that the proposed protocol is capable of providing lower delay and better throughput, at the cost of reasonable energy consumption, in comparison to other existing sensory MAC protocols.
Sydewynder: rapid prototyping for mobile mixed-reality games
Authors: Michael J. Edwards, Joana Kelly, Michael Thibodeau
Venue: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (2008)

Sydewynder is an open-source SMS receiver and sender application written in Python for the Nokia S60 phones. It can automate the responses of messages and can be used as a mobile application server in areas where setting up a traditional server may be difficult or illegal. It also is very useful for prototyping mobile applications, such as games, without the burden of expensive hosting. As such, it works very well in educational settings. It includes an emulator for developing scripts off of the phones as well as several example applications that students can modify to produce their own work. Sydewynder was tested as an educational tool in the fall of 2007 during classes in the Communication Design and Techonology Department at Parsons The New School for Design. Students developed many different kinds of applications, including using Sydewynder for prototyping mixed-reality games. They found the software to be reasonably easy to use for people with little prior programming experience, as well as a fast tool for rapid prototyping.
Customer pattern search for A/S association in manufacturing
Authors: Jin Sook Ahn, So Young Sohn
Venue: Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases (2008)

Manufacturing corporations aim to sell their goods while they try to keep a sound customer relationship by providing high quality after-sales service (A/S). This is because while such services have always been important in marketing and sales industries, they are currently gaining importance in the manufacturing industry as well. Therefore it is important to identify the needs of different customer groups and to provide respective A/S for each group accordingly. In this study, we propose a framework that consists of fuzzy clustering and an association rule to identify customer groups and their needs. We first carried out fuzzy clustering of customers in terms of indicators of CSI (Customer Satisfaction Index). Next, the association rule is used to grasp the kind of A/S that customers consider important. Our results identified three groups of customers and their needs: Group 1 represents those who have a high degree of satisfaction, loyalty and high number of complaints. This group considers the home visiting service most important. Despite the fact that the Group 1 has high degree of complaint occurrence, they show a high degree of loyalty. Group 2 has very high degree of satisfaction and loyalty with a low level of complaints. This group considers important the A/S factors in all of service sections, including at the call center, the home visiting service, and claim handling. Group 3 has average satisfaction, number of complaints, and loyalty. Group 3 customers put weight on A/S factors dealing with the call center and the home visiting service. We expect that manufacturing firms can strengthen CRM (Customer Relationship Management) by offering tailored A/S for each group accordingly.
A Detailed Study on the Modulation of Emotion Processing by Spatial Location
Authors: Baolin Liu, Shuai Xin, Zhixing Jin, Xiaorong Gao, Shangkai Gao, Renxin Chu, Beixing Deng, Yongfeng Huang
Venue: Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks (2008)

In this paper two ERP (event-related potential) experiments --- one-position (1-P) task and three-position (3-P) task are performed to study how emotion processing is modulated by spatial location. In the 1-P task, emotional pictures are presented centrally and subjects are required to respond when a negative stimulus is onset; while in the 3-P task, stimuli are presented randomly either in a central position, or in a left or right position to the central point. P300 with shorter latency as well as P1/N1 with decreased amplitude was detected in the 3-P task as compared to the 1-P task, which illustrates that the emotion P300 is significantly modulated by spatial location. Unexpectedly, the P300 amplitude shows no significant difference between the two tasks, providing evidence that there is little spatial-attention modulation of arousal rating in the brain's processing of emotional perception.
A preliminary result on a representative-based multi-round protocol for multi-issue negotiations
Authors: Katsuhide Fujita, Takayuki Ito, Mark Klein
Venue: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3 (2008)

Multi-issue negotiation protocols represent a promising field since most negotiation problems in the real world involve multiple issues. Our work focuses on negotiation with interdependent issues, in which agent utility functions are nonlinear. Existing works have not yet focused on agents' private information. In addition, they were not scalable in the sense that they have shown a high failure rate for making agreements among 5 or more agents. In this paper, we focus on a novel multi-round representative-based protocol that utilizes the amount of agents' private information revealed. Experimental results demonstrate that our mechanism reduces the failure rate in making agreements, and it is scalable on the number of agents compared with existing approaches.
Electrotactile Stimulation Based on Strain Energy Density of the Fingertip
Authors: Katsunari Sato, Hideaki Nii, Naoki Kawakami, Susumu Tachi
Venue: Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios (2008)

The shape recognition of an object is important for dexterous manipulation by humans. Therefore, we have developed a haptic display that integrates both electrotactile and kinesthetic sensations to present shape information. However, the electrotactile display only presents the contact field between the object and the fingertip. Therefore, we propose a method of electrotactile stimulation using the strain energy density model at the fingertip to generate the tactile sensation of the fingertip deformation. The result of the shape recognition experiment verifies the efficiency of the proposed method.
Managing the Radio Spectrum: Hands-On or Back-Off?
Authors: Susan Moore
Venue: IT Professional (2004)

Radio spectrum is a dwindling resource. To manage it, the government must balance public interests against the wireless industry's voracious appetite.
Artificial Immune Systems and Kernel Methods
Authors: T. S. Guzella, T. A. Mota-Santos, W. M. Caminhas
Venue: Proceedings of the 7th international conference on Artificial Immune Systems (2008)

In this paper, we focus on the potential for applying Kernel Methods into Artificial Immune Systems. This is based on the fact that the commonly employed "affinity functions" can usually be replaced by kernel functions, leading to algorithms operating in the feature space. A discussion of this applicability in negative/positive selection algorithms, the dendritic cell algorithm and immune network algorithms is conducted. As a practical application, we modify the aiNet (Artificial Immune Network) algorithm to use a kernel function, and analyze its compression quality using synthetic datasets. It is concluded that the use of properly adjusted kernel functions can improve the compression quality of the algorithm. Furthermore, we briefly discuss some of the future implications of using kernel functions in immune-inspired algorithms.
The Giga View Multiprocessor Multidisk Image Server
Authors: B. A. Gennart, B. Krummenacher, L. Landron, R. D. Hersch, B. Saugy, J.-C. Hadorn, D. MÜLLER
Venue: Scientific Programming (1996)

Professionals in various fields such as medical imaging, biology, and civil engineering require rapid access to huge amounts of pixmap image data. Multimedia interfaces further increase the need for large image databases. To fulfill these requirements, the GigaView parallel image server architecture relies on arrays of intelligent disk nodes, each disk node being composed of one processor and one disk. This contribution reviews the design of the GigaView hardware and file system, compares it to other storage servers available on the market, and evaluates fields of applications for the architecture.
Autonomic Databases: Detection of Workload Shifts with n-Gram-Models
Authors: Marc Holze, Norbert Ritter
Venue: Proceedings of the 12th East European conference on Advances in Databases and Information Systems (2008)

Autonomic databases are intended to reduce the total cost of ownership for a database system by providing self-management functionality. The self-management decisions heavily depend on the database workload, as the workload influences both the physical design and the DBMS configuration. In particular, a database reconfiguration is required whenever there is a significant change, i.e. shift, in the workload.In this paper we present an approach for continuous, light-weight workload monitoring in autonomic databases. Our concept is based on a workload model, which describes the typical workload of a particular DBS using n-Gram-Models. We show how this model can be used to detect significant workload changes. Additionally, a processing model for the instrumentation of the workload is proposed. We evaluate our approach using several workload shift scenarios.
Non-trivial Black-Box Combiners for Collision-Resistant Hash-Functions Don't Exist
Authors: Krzysztof Pietrzak
Venue: Proceedings of the 26th annual international conference on Advances in Cryptology (2007)

A (k,¿)-robust combiner for collision-resistant hash-functions is a construction which from ¿ hash-functions constructs a hash-function which is collision-resistant if at least k of the components are collision-resistant. One trivially gets a (k,¿)-robust combiner by concatenating the output of any ¿¿ k + 1 of the components, unfortunately this is not very practical as the length of the output of the combiner is quite large. We show that this is unavoidable as no black-box (k,¿)-robust combiner whose output is significantly shorter than what can be achieved by concatenation exists. This answers a question of Boneh and Boyen (Crypto'06).
A numerical study of propagation effects in a wireless mesh test bed
Authors: Albert A. Lysko, David L. Johnson
Venue: Proceedings of the 6th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical (2008)

The present layout of the indoor wireless mesh network test-bed build at the Meraka Institute is introduced. This is followed by a description of a numerical electromagnetic model for the complete test-bed, including the coupling and diffraction effects, as generated with WIPL-D Pro. The results of numerical simulations are compared with the measurements. The findings help to quantify errors and provide grounds for suggestions towards improving the test-bed's design.
Multiobjective decision support for defining secure business processes: a case study
Authors: Thomas Neubauer, Johannes Heurix
Venue: International Journal of Business Intelligence and Data Mining (2008)

As business processes gain more importance in today's business environments, their unimpeded execution is crucial for a company's success. Corporate decision makers are faced with a wide spectrum of potential risks on the one hand and a plenitude of security safeguards on the other hand. Existing approaches for the evaluation of security measures often neglect the consideration of business needs under multiple objectives. This paper gives an overview of the Atana approach that supports decision makers with the elicitation of security safeguards based on corporate business processes and according to multiple objectives. It focuses on the description of a prototype by means of a case study from the social security sector and, thus, provides decision makers with an instrument for interactively exploring different security investment scenarios, while the system guarantees at the same time that only efficient solutions are considered.
WiPal and WScout, two hands-on tools for wireless packet traces manipulation and visualization
Authors: Thomas Claveirole, Marcelo Dias de Amorim
Venue: Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization (2008)

In this demonstration paper, we present an overview of WiPal and WScout, two tools to handle IEEE 802.11 packet traces. WiPal embeds several programs to manipulate IEEE 802.11 packet traces, while WScout is a visualizing program designed for large packet traces. WiPal includes an IEEE 802.11 trace merger and tool for obtaining a number of statistics on the trace under analysis. WScout's main characteristic is its ability to open traces that are much larger than the ones handled by existing visualization tools.
On the Sets of Real Numbers Recognized by Finite Automata in Multiple Bases
Authors: Bernard Boigelot, Julien Brusten, Véronique Bruyère
Venue: Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part II (2008)

This paper studies the expressive power of finite automata recognizing sets of real numbers encoded in positional notation. We consider Muller automata as well as the restricted class of weak deterministic automata, used as symbolic set representations in actual applications. In previous work, it has been established that the sets of numbers that are recognizable by weak deterministic automata in two bases that do not share the same set of prime factors are exactly those that are definable in the first order additive theory of real and integer numbers . This result extends Cobham's theorem, which characterizes the sets of integer numbers that are recognizable by finite automata in multiple bases.In this paper, we first generalize this result to multiplicatively independent bases, which brings it closer to the original statement of Cobham's theorem. Then, we study the sets of reals recognizable by Muller automata in two bases. We show with a counterexample that, in this setting, Cobham's theorem does not generalize to multiplicatively independent bases. Finally, we prove that the sets of reals that are recognizable by Muller automata in two bases that do not share the same set of prime factors are exactly those definable in . These sets are thus also recognizable by weak deterministic automata. This result leads to a precise characterization of the sets of real numbers that are recognizable in multiple bases, and provides a theoretical justification to the use of weak automata as symbolic representations of sets.
Tracing Malicious Proxies in Proxy Re-encryption
Authors: Benoît Libert, Damien Vergnaud
Venue: Proceedings of the 2nd international conference on Pairing-Based Cryptography (2008)

In 1998, Blaze, Bleumer and Strauss put forth a cryptographic primitive, termed proxy re-encryption, where a semi-trusted proxy is given some piece of information that enables the re-encryption of ciphertexts from one key to another. Unidirectional schemes only allow translating from the delegator to the delegatee and not in the opposite direction. In all constructions described so far, although colluding proxies and delegatees cannot expose the delegator's long term secret, they can derive and disclose sub-keys that suffice to open all translatable ciphertexts sent to the delegator. They can also generate new re-encryption keys for receivers that are not trusted by the delegator. In this paper, we propose traceable proxy re-encryption systems, where proxies that leak their re-encryption key can be identified by the delegator. The primitive does not preclude illegal transfers of delegation but rather strives to deter them. We give security definitions for this new primitive and a construction meeting the formalized requirements. This construction is fairly efficient, with ciphertexts that have logarithmic size in the number of delegations, but uses a non-black-box tracing algorithm. We discuss how to provide the scheme with a black box tracing mechanism at the expense of longer ciphertexts.
SISI Project: Developing GIS-Based Tools for Vulnerability Assessment
Authors: Bruno Rocca, Grazia Fattoruso, Sergio Locurzio, Francesco Pasanisi, Raffaele Pica, Alessandro Peloso, Maurizio Pollino, Carlo Tebano, Alfredo Trocciola, Davide Chiara, Genoveffa Tortora
Venue: Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management (2008)

In the framework of a wider research project, aimed at developing an high performance computing infrastructures in Southern Italy, the SISI project aims at developing customized GIS tools for vulnerable site selection in Italian territory. Vulnerable sites will be defined based on co-presence of different dangerous/vulnerable geographic features in given areas. Morphological and topological criteria will possibly be included in territorial diagnostics.
Statistical Filtering of Raster Map Images Using a Context Tree Model
Authors: Alexey Podlasov, Pavel Kopylov, Pasi Fränti
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

We propose a statistical filter using a context tree modeling. The idea of context tree is to perform selective context expansion including only those pixel combinations that really appear in the image. This makes it possible to use much larger spatial neighborhood. The proposed context tree filtering is evaluated for a set of indexed-color raster map images corrupted with generated impulsive and content-dependent noise. The objective evaluation shows improvement of 15% for content-dependent noise and up to 30% for impulsive noise comparing to the closest competitor. Visual comparisons show that the spatial structures are preserved better than by vector median, morphological and peer group averaging filter.