ppxscal/embedding_network huggingface dataset:
Cooperation under Scarcity: The Sharer's Dilemma
Authors: Michael Rogers, Saleem Bhatti
Venue: Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services (2008)

Many researchers have used game theory to study the problem of encouraging cooperation in peer-to-peer and mobile ad hoc networks, where resources are provided collectively by the users. Previous work has modelled the problem as either a multi-player social dilemma or a network of two-player prisoner's dilemmas, but neither of these approaches captures a crucial aspect of the problem, namely scarcity: when resources are limited, players must not only consider how to establish and sustain cooperation with each opponent, but how to allocate resources among their opponents in order to maximise the total cooperation received.This paper presents a new game theoretic model of cooperation under scarcity, the sharer's dilemma, and a simple expected utility strategy that is shown to perform well against a wide range of opponents. The expected utility strategy can easily be applied to file sharing networks to create an incentive for users to contribute resources.
Profit sharing and firm performance in the manufacturer-retailer dual-channel supply chain
Authors: Ruiliang Yan
Venue: Electronic Commerce Research (2008)

With the rapid development of e-commerce and the adoption of dual channels, increasingly manufacturers and retailers are implementing profit sharing strategies in order to improve channel coordination and supply chain performance. In this study, we focus on the strategic role played by profit sharing in a manufacturer-retailer dual-channel supply chain. We use a game theory approach to investigate this issue. We compare the expected profits that each supply chain player receives in a traditional retail system with the profits that can be achieved in a profit-sharing dual-channel system. Our results show that both the manufacturer and the retailer always benefit from a dual-channel profit-sharing strategy because of the incremental profit gains generated by the dual-channel strategy. Furthermore, the Nash (Econometrica 18:155---162, 1950) bargaining model is utilized to implement profit sharing for the manufacturer and the retailer to achieve their channel coordination. Based on our results, optimal market strategies are derived and probable paths of future research are identified.
Adding variation to path planning
Authors: Ioannis Karamouzas
Venue: Computer Animation and Virtual Worlds (2008)

Path planning in computer games, whether these are serious or entertainment games, plays an important role in the immersion of a player. Recently, the concept of path planning inside corridors has been introduced and a novel approach under the name Corridor Map Method (CMM) has been proposed. In this paper, we extend the original CMM by creating alternative paths that a character can follow within a corridor. This not only presents a more challenging and less predictable opponent for the player, but also enhances the realism of the gaming and-or training experience. We also discuss how variation in the speed of the animated characters can be integrated into our extended framework, leading to convincing characters that exhibit human like path planning. Copyright &copy; 2008 John Wiley & Sons, Ltd.
Indoor localization based on response rate of bluetooth inquiries
Authors: Mortaza S. Bargh, Robert de Groote
Venue: Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments (2008)

Location is considered as the most important and relevant context information. Bluetooth technology, being a common feature of commercial mobile devices, is a (or the) key technology that is pervasively available nowadays. There has been not much success in using Bluetooth technology for indoor localization, mainly due to the limitation of the technology. Using the Context Management Frame (CMF) infrastructure deployed in our office building, we have designed, implemented and evaluated a Bluetooth based indoor localization solution that determines the locations of stationary mobile users at a room level. The solution is based on the inquiry response rate of Bluetooth technology. This approach does not require establishing any connectivity between Bluetooth devices. Further, since the solution is infrastructure- and network-based, it does not require mobile devices to be upgraded in any way in order to be localized. The results of experiments show that our solution has 98% accuracy in rooms with full Bluetooth sensor coverage, when the target device being stationary for 3 minutes.
The Dynamics of Change
Authors: Gary Singh
Venue: IEEE Computer Graphics and Applications (2007)

This issue's cover features art by San Base. In this article, Base describes his work and his process.
Workflow Model Based on Time-Extended and Hierarchy-Extended Petri-Net
Authors: Weihua Niu, Zhuping Yang
Venue: Proceedings of the 2008 International Symposiums on Information Processing (2008)

At present the workflow model is short of time constraint and can’t support complex workflow systems, so the classical Petri-Net is extended in time and hierarchy in this paper. And based on the above extension a Time-Extended and Hierarchy-Extended Workflow-Net model is given. At the same time the construction algorithm of the model is also put forward in this paper. The algorithm is applied to model the new production-developed process and the old production-reconstructed process. Finally the correctness of the THEWF-Net model is validated.
Pseudojump Operators and $\Pi^0_1$ Classes
Authors: Douglas Cenzer, Geoffrey Laforte, Guohua Wu
Venue: Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World (2007)

For a pseudojump operator V X and a $\Pi^0_1$ class P, we consider properties of the set {V X : X &epsilon; P}. We show that there always exists X &epsilon; P with $V^X \leq_T {\mathbf 0'}$ and that if P is Medvedev complete, then there exists X &epsilon; P with $ V^X \equiv_T {\mathbf 0'}$. We examine the consequences when V X is Turing incomparable with V Y for X ≄ Y in P and when $W_e^X = W_e^Y$ for all X,Y &epsilon; P. Finally, we give a characterization of the jump in terms of $\Pi^0_1$ classes.
Learning Modal Theories
Authors: John W. Lloyd, Kee Siong Ng
Venue: Inductive Logic Programming: 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (2007)

This paper discusses how to learn theories that are modal, concentrating on the issue of how modal hypotheses are formed. Illustrations are given to show the usefulness of the ideas for agent applications.
Guaranteed Adaptive Antialiasing Using Interval Arithmetic
Authors: Jorge Flórez, Mateu Sbert, Miguel A. Sainz, Josep Vehí
Venue: Proceedings of the 7th international conference on Computational Science, Part II (2007)

Interval arithmetic has been used to create guaranteed intersection tests in the ray tracing algorithms. Although those algorithms improve the reliability in the visualization of implicit surfaces, they do not provide an alternative to avoid point sampling inside the pixel. In this paper, we develop an interval adaptive antialiasing algorithm (IAA) by means of the study of the coherence of sets of rays crossing a pixel (instead of individual rays) in order to detect variations over the hit surface. This method allows us to obtain better visualizations than the traditional interval ray tracing algorithms.
Framework Design Supporting QoS-Power Trade-Offs for Heterogeneous Networked Systems
Authors: Christos Antonopoulos, Evangelos Topalis, Aggeliki Prayati, Spilios Giannoulis, Antonis Athanasopoulos, Stavros Koubias
Venue: Proceedings of the 2nd international conference on Network-Based Information Systems (2008)

The work reported here was performed as part of the ongoing research Program PYTHAGORAS II and funded by the European Social Fund (ESF), in particular by the Operational Program for Educational and Vocational Training II (EPEAEK II).Two of the main research efforts in wireless systems, nowadays, are the Power awareness and Quality of Service (QoS) integration. As frameworks are developed to handle dynamic reconfiguration, the need for a power optimization methodology to investigate alternative cross-layer configurations is critical. However, as networks become more complex and energy savings become crucial, this leads to the consideration of constructs for treating QoS-power trade-offs and adjust to the heterogeneous nature of network systems. In this paper, we propose an interoperable framework design for heterogeneous network systems, where communication is treated transparently and enhancements are proposed to improve QoS by the definition of a framework also supporting dynamic power optimization.
Persian/Arabic Unicode Text Steganography
Authors: Mohammad Shirali-Shahreza, Sajad Shirali-Shahreza
Venue: Proceedings of the 2008 The Fourth International Conference on Information Assurance and Security (2008)

Sending information secretly and communicating covertly have been of great interest for ages. On the other hand, text documents have been widely used and consequently various methods for hiding information in texts (Text Steganography) have been developed so far. In this paper a new method is proposed to hide information in digital Persian and Arabic Unicode texts.In Persian and Arabic, each letter can have four different shapes regarding to its position in the word. In this method by using this feature of Persian and Arabic languages and the way which documents are saved in the Unicode Standard, the information is hidden in Unicode text documents. This method has a good hiding capacity because it hides one bit in each word. Also this method does not make any apparent changes in the original text and have a perfect perceptual transparency.
Reducing the Representation Complexity of Lattice-Based Taxonomies
Authors: Sergei Kuznetsov, Sergei Obiedkov, Camille Roth
Venue: Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications (2007)

Representing concept lattices constructed from large contexts often results in heavy, complex diagrams that can be impractical to handle and, eventually, to make sense of. In this respect, many concepts could allegedly be dropped from the lattice without impairing its relevance towards a taxonomy description task at a certain level of detail. We propose a method where the notion of stability is introduced to select potentially more pertinent concepts. We present some theoretical properties of stability and discuss several use cases where taxonomy building is an issue.
How people recall, recognize, and reuse search results
Authors: Jaime Teevan
Venue: ACM Transactions on Information Systems (TOIS) (2008)

When a person issues a query, that person has expectations about the search results that will be returned. These expectations can be based on the current information need, but are also influenced by how the searcher believes the search engine works, where relevant results are expected to be ranked, and any previous searches the individual has run on the topic. This paper looks in depth at how the expectations people develop about search result lists during an initial query affect their perceptions of and interactions with future repeat search result lists. Three studies are presented that give insight into how people recall, recognize, and reuse results. The first study (a study of recall) explores what people recall about previously viewed search result lists. The second study (a study of recognition) builds on the first to reveal that people often recognize a result list as one they have seen before even when it is quite different. As long as those aspects that the searcher remembers about the initial list remain the same, other aspects can change significantly. This is advantageous because, as the third study (a study of reuse) shows, when a result list appears to have changed, people have trouble re-using the previously viewed content in the list. They are less likely to find what they are looking for, less happy with the result quality, more likely to find the task hard, and more likely to take a long time searching. Although apparent consistency is important for reuse, people's inability to recognize change makes consistency without stagnation possible. New relevant results can be presented where old results have been forgotten, making both old and new content easy to find.
Intelligent VoIP System in Ad-Hoc Network with Embedded Pseudo SIP Server
Authors: Lin-Huang Chang, Chun-Hui Sung, Shih-Yi Chiu, Jiun-Jian Liaw
Venue: Proceedings of the 5th international conference on Autonomic and Trusted Computing (2008)

Wireless networks and the voice over Internet protocol (VoIP) have recently been widely adapted. VoIP services over Ad-hoc network can be accomplished by middleware embedded in mobile devices. In this study, we have implemented an intelligent VoIP system with embedded pseudo session initia-tion protocol (SIP) server in an Ad-hoc network. We employed the standard SIP protocol and integrated SIP presence to handle SIP signaling and user dis-covery mechanism. The embedded pseudo SIP server, acting as the middleware between transport and application layers, was compatible with common VoIP user agents (UAs) using SIP. Our testbed shows acceptable VoIP quality of ser-vice (QoS) level in transmission delay for both signaling and voice packets.
Multidisciplinary heat generating logic block placement optimization using genetic algorithm
Authors: Tohru Suwa, Hamid Hadim
Venue: Microelectronics Journal (2008)

A multidisciplinary optimization methodology for placement of heat generating semiconductor logic blocks on integrated circuit chips is presented. The methodology includes thermal and wiring length criteria, which are optimized simultaneously using a genetic algorithm. An effective thermal performance prediction methodology based on a superposition method is used to determine the temperature distribution on a silicon chip due to multiple heat generating logic blocks. Using the superposition method, the predicted temperature distribution in the silicon chip is obtained in much shorter time than with a detailed finite element model and with comparable accuracy. The main advantage of the present multidisciplinary design and optimization methodology is its ability to handle multiple design objectives simultaneously for optimized placement of heat generating logic blocks. Capabilities of the present methodology are demonstrated by applying it to several standard benchmarks. The multidisciplinary logic block placement optimization results indicate that the maximum temperature on a silicon chip can be reduced by up to 7.5^oC, compared to the case in which only the wiring length is minimized.
Applying a Cellular Automata Method for the Study of Transport and Deposition of Volcanic Particles
Authors: Kae Tsunematsu, Jean-Luc Falcone, Costanza Bonadonna, Bastien Chopard
Venue: Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry (2008)

Forecast of volcanic particle dispersal is important for studies of risk assessment. We are interested in simulating a full tephra transport system taking into account turbulent flows and particle aggregation using cellular automata (CA). In this preliminary research, we apply a probabilistic transport CA to our problem. Results show good agreement with field data, indicating that CA are adequate to simulate tephra transport.
Concept-Based Question Analysis for an Efficient Document Ranking
Authors: Seung-Eun Shin, Young-Min Ahn, Young-Hoon Seo
Venue: Proceedings of the 7th international conference on Computational Science, Part II (2007)

This paper describes a concept-based question analysis for an efficient document ranking. Our idea is that we can rank efficiently documents containing answers for questions when we use well-defined concepts because concepts occurred in questions of same answer type are similar. That is, we can retrieve more relevant documents if we know the syntactic and semantic role of each word or phrase in question. For each answer type, we define a concept rule which contains core concepts occurred in questions of that answer type. Concept-based question analysis is a process which tags concepts to morphological analysis result of a user's question, determines the answer type, and extracts untagged concepts from it using a matched concept rule. Empirical results show that our concept-based question analysis can rank documents more efficiently than any other conventional approach. Also, concept-based approach has additional merits that it is language universal model, and can be combined with arbitrary conventional approaches.
Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007
Authors: Mateja Verlic, Gregor Stiglic, Simon Kocbek, Peter Kokol
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

This paper presents an overview of past papers published at the CBMS symposiums from a content analysis point of view. A simple, yet effective word counting using Harvard Psycho-Social dictionary was used to estimate different aspects of sentiment that can be present even in scientific papers. Using simple statistics we uncover some of the very interesting trends in the last five CBMS symposiums. Additional to pure statistics we used some of the most advanced classification techniques to see if there are any significant differences in psycho-social texture of the accepted papers. It was also shown that building machine learning models on this kind of data can result in some very interesting generalizations of the underlying data.
Advanced techniques for the determination of sound spatialization in italian opera theatres
Authors: Enrico Reatti, Lamberto Tronchin, Valerio Tarabusi
Venue: Proceedings of the 9th WSEAS International Conference on Acoustics & Music: Theory & Applications (2008)

As Italy possesses a rich heritage of Opera houses and since, owing to the period in which they were built, they were not planned for electroacoustical amplification systems and the quality of the listening conditions in the theatres was still wholly due to their spatial characteristics, the materials and the techniques used to build them, the Teatro Comunale of Bologna was chosen for this research. An experimental measuring campaign was conducted in this late 18th century "Italian-style" theatre so as to define a map of the impulse responses (IR) able to significantly represent the acoustics perceived by the audience seated in the stalls or balconies. Using the geometric and constructional data, a three-dimensional model of the theatre was then made and used to numerically simulate the acoustic properties in the theatre and, after appropriate calibration, the respective impulse responses were calculated in the same points as where the measurements had been taken in the experimental campaign. Lastly, the method for auralising an anechoic signal was used for qualitatively comparing the simulation of the theatre's acoustic response. This was done by calculating an IR from the experimental data and extrapolating an IR from the numeric model.
Proceedings of the 1st workshop on Isolation and integration in embedded systems
Authors: Michael Engel, Olaf Spinczyk
Venue: European Conference on Computer Systems (2008)

Embedded systems developers today are confronted with a large variety of challenges in the design and implementation of a system. Issues such as co-location of different applications on a single hard- or software platform ("co-habitation"), platform integration of different embedded operating environments as well as safety and protection of embedded software systems require novel approaches to embedded systems development as well as the adaptation of technologies from mainframe and desktop computing, like virtualization and emulation. This, in turn, will change traditional embedded design processes to include hardware and software of growing complexity. This workshop aims to bring together researchers and developers from all areas of embedded systems in order to create a lively discussion of these novel approaches in integration and isolation of embedded systems and the associated challenges and prospects.
A Decidable Fuzzy Description Logic F-ALC(G)
Authors: Hailong Wang, Z. M. Ma
Venue: Proceedings of the 19th international conference on Database and Expert Systems Applications (2008)

The existing Web Ontology languages and the corresponding description logics don't support customized data type information. Furthermore, they can't process imprecise and uncertain information in the Semantic Web. In order to solve these limitations, we propose a new kind of fuzzy description logic, F-ALC(G), which can not only support the representation and reasoning of fuzzy concept knowledge, but also support fuzzy data information with customized fuzzy data types and customized fuzzy data type predicates.
Toward Predictive Failure Management for Distributed Stream Processing Systems
Authors: Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Shu-Ping Chang
Venue: Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems (2008)

Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is essential for DSPSs that often require highly-available system operations. In this paper, we explore a new predictive failure management approach that employs online failure prediction to achieve more efficient failure management than previous reactive or proactive failure management approaches. We employ light-weight stream-based classification methods to perform online failure forecast. Based on the prediction results, the system can take differentiated failure preventions on abnormal components only. Our failure prediction model is tunable, which can achieve a desired tradeoff between failure penalty reduction and prevention cost based on a user-defined reward function. To achieve low-overhead online learning, we propose adaptive data stream sampling schemes to adaptively adjust measurement sampling rates based on the states of monitored components, and maintain a limited size of historical training data using reservoir sampling. We have implemented an initial prototype of the predictive failure management framework within the IBM System S distributed stream processing system. Experiment results show that our system can achieve more efficient failure management than conventional reactive and proactive approaches, while imposing low overhead to the DSPS.
Experience Medium: Toward a New Medium for Exchanging Experiences
Authors: Yasuyuki Sumi
Venue: Proceedings of the 11th international conference on User Modeling (2007)

In this talk, I will propose a notion of "experience medium" in which we can exchange our experiences in museum touring, daily meetings, collaborative work, etc. The experience medium is a medium for capturing, interpreting, and creating our experiences, i.e., not only verbalized representations of our experiences but also their contextual information (awareness, common sense, atmosphere).