ppxscal/embedding_network huggingface dataset:
Travel MoCo- A Mobile Community Service for Tourists
Authors: Christer Carlsson, Pirkko Walden, Fuyi Yang
Venue: Proceedings of the 2008 7th International Conference on Mobile Business (2008)

The future competitive advantages for a successful travel industry will most probably be built around effective mobile value services. Mobile value services are services which create customer value with the support of context-adapted mobile technology; this in turn is designed to expand the limits of the possible in the structure of everyday routines. The social aspect in tourism is becoming important. Interacting with other people is found to be a source for tourists to seek information and to make decisions both before, during and after the visit. Earlier research shows that people in general rely more on informal sources such as family and friends than on official channels to satisfy their information needs. We have developed a mobile service called Travel MoCo that allows the user to seek travel related information through social interaction with other people and share experiences with each other anytime and anywhere just by using his/her mobile phone.
Cryptanalysis of General Lu-Lee Type Systems
Authors: Haijian Zhou, Ping Luo, Daoshun Wang, Yiqi Dai
Venue: Information Security and Cryptology: Third SKLOIS Conference, Inscrypt 2007, Xining, China, August 31 - September 5, 2007, Revised Selected Papers (2007)

The Lu-Lee public key cryptosystem and Adiga-Shankar's modification are considered to be insecure with cryptanalysis by integer linear programing, since only 2 or 3 unknown message blocks are used in the modular linear equation for encryption procedure. Unfortunately integer linear programming algorithms falls in trouble with more unknowns. In this paper we present a probabilistic algorithm for cryptanalysis of general Lu-Lee type systems with n message blocks. The new algorithm is base on lattice reduction and succeeds to break Lu-Lee type systems with up to 68 message blocks.
An Application of SVM on Stakeholders' Influence of Capital Allocation in Commercial Banks
Authors: Haiqing Hu, Dan Zhang, Duo Huang
Venue: Proceedings of the 2008 International Symposiums on Information Processing (2008)

In this paper, by using support vector machine (SVM) regression, the simulation model of the influences of stakeholders on capital management in commercial banks is established. The results are tested by utilizing the samples of Chinese joint-stock commercial banks during the period of 1999-2006 and compared with results of PLS regression and BP neural network. The result is gotten that the forecasting precision of SVM is superior to that of PLS regression and BP neural network when the parameters are selected appropriately. Also, it is found that the forecasting precision of various methods in coverage ratio of capital is better than in Meva due to the influence of listing during 1999-2005. The validity of the model is verified.
A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors
Authors: Xiaonan Zhang, Jack Mostow, Joseph E. Beck
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

Researchers have used various methods to evaluate the fine-grained interactions of intelligent tutors with their students. We present a case study comparing three such methods on the same data set, logged by Project LISTEN's Reading Tutor from usage by 174 children in grades 2-4 (typically 7-10 years) over the course of the 2005-2006 school year. The Reading Tutor chooses randomly between two different types of reading practice. In assisted oral reading, the child reads aloud and the tutor helps. In "Word Swap," the tutor reads aloud and the child identifies misread words. One method we use here to evaluate reading practice is conventional analysis of randomized controlled trials (RCTs), where the outcome is performance on the same words when encountered again later. The second method is learning decomposition, which estimates the impact of each practice type as a parameter in an exponential learning curve. The third method is knowledge tracing, which estimates the impact of practice as a probability in a dynamic Bayes net. The comparison shows qualitative agreement among the three methods, which is evidence for their validity.
The internet and political organizations: force, tool, or wildcard?
Authors: Ernest J. Wilson
Venue:  (2007)

The effect of Internet usage on political organizations is largely assumed in the literature, which limits our understanding of the topic. Three dominant perspectives have developed, viewing technology alternately as a Force that transforms organizations (Techno-determinist), a Tool that organizations can utilize (Situationalist), or as a Wildcard that will have unpredictable effects even on similar organizations (Techno-skeptic). This dissertation examines each of these perspectives in detail and tests their predictive elements against case studies of four political organizations: the Dean for America campaign, MoveOn.org, and the Green and Reform Parties. Cases were chosen due to their innovative usage of the Internet, their outsider status, their status as contemporaries, and being active at the national level of American politics. The results demonstrate that while each perspective provides some insight, they are individually inadequate to explain the subject in its entirety and, therefore, a new approach to the topic is necessary. Suggestions for future research and steps to construct a new, more complete, model are presented along with recommendations for the application of these findings by political organizations.
Soft input decryption using feedback
Authors: Natasa Zivic, Christoph Ruland
Venue: Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems (2008)

In this paper the research based on the idea of use of Soft Input Decryption is further developed. The function of Soft Input Decryption is to integrate decryption into the decoding process. This paper shows how Soft Input Decryption can be enhanced using feedback from the channel decoder. In this way, the cooperation between channel coding and cryptography is further develops. Like in Soft Input Decryption, also in feedback method is the usage of reliability L-values of SISO channel decoder of great importance. The results of computer simulations have been presented and discussed.
Competing Platform Models for Mobile Service Delivery: The Importance of Gatekeeper Roles
Authors: Pieter Ballon, Nils Walravens
Venue: Proceedings of the 2008 7th International Conference on Mobile Business (2008)

This paper introduces and analyses four potential business models for emerging mobile service platforms. For each model, a real-life case is described and briefly analyzed. It is found that 'platform leadership' strategies - focused a.o. on control of core assets on the one hand, and open interfaces on the other hand -, permeate the strategies and models introduced by the stakeholders vying for dominance in this market. In particular, these strategies and models differ strongly according to the specific set-up and control of a number of crucial 'gatekeeper roles'.
Cross-cultural deception in social networking sites and face-to-face communication
Authors: Carmen C. Lewis, Joey F. George
Venue: Computers in Human Behavior (2008)

Deception research has been primarily studied from a Western perspective, so very little is known regarding how other cultures view deception. Cross-cultural deception research is important due to the escalation of cross-cultural communication. Therefore, this study proposes a framework for understanding the role Korean and American culture plays in deceptive behavior for both face-to-face (FTF) and computer-mediated communication (CMC). The goal of this paper is to test theoretical explanations about the role of culture in deception by the development of a set of hypotheses predicting the conditions under which deception is likely to emerge. A research strategy and construct measures to test the hypotheses are presented. Results from online questionnaires indicated Korean respondents exhibited greater collectivist values, lower levels of power distance, and higher levels of masculine values than Americans. Furthermore, deceptive behavior was greater for FTF communication than for CMC for both Korean and American respondents. In addition to a significant relationship between culture and deception, differences were found between espoused cultural values and deceptive behavior, regardless of national culture. These results indicate the need for future research to consider cultural differences when examining deceptive behavior.
Smyle: A Tool for Synthesizing Distributed Models from Scenarios by Learning
Authors: Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern, Martin Leucker
Venue: Proceedings of the 19th international conference on Concurrency Theory (2008)

This paper presents Smyle, a tool for synthesizing asynchronous and distributed implementation models from sets of scenarios that are given as message sequence charts (MSCs). The latter specify desired or unwanted behavior of the system to be. Provided with such positive and negative example scenarios, Smyle employs dedicated learning techniques and propositional dynamic logic (PDL) over MSCs to generate a system model that conforms with the given examples.
An Optimal Incremental Algorithm for Minimizing Lateness with Rejection
Authors: Samir Khuller, Julián Mestre
Venue: Proceedings of the 16th annual European symposium on Algorithms (2008)

This paper re-examines the classical problem of minimizing maximum lateness which is defined as follows: given a collection of n jobs with processing times and due dates, in what order should they be processed on a single machine to minimize maximum lateness? The lateness of a job is defined as its completion time minus its due date. This problem can be solved easily by ordering the jobs in non-decreasing due date order. We now consider the following question: which subset of k jobs should we reject to reduce the maximum lateness by the largest amount? While this problem can be solved optimally in polynomial time, we show the following surprising result: there is a fixed permutation of the jobs, such that for all k, if we reject the first k jobs from this permutation, we derive an optimal solution for the problem in which we are allowed to reject k jobs. This allows for an incremental solution in which we can keep incrementally rejecting jobs if we need a solution with lower maximum lateness value. Moreover, we also develop an optimal O(n logn) time algorithm to find this permutation.
How automated agents treat humans and other automated agents in situations of inequity: an experimental study
Authors: Ron Katz, Sarit Kraus
Venue: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3 (2008)

This paper explores the question of how agent designers perceive and treat their agent's opponents. In particular, it examines the influence of the opponent's identity (human vs. automated agent) in negotiations. We empirically demonstrate that when people interact spontaneously they treat human opponents differently than automated agents in the context of equity and fairness considerations. However, these difference vanish when people design and implement agents that will interact on their behalf. Nevertheless, the commitment of the agents to honor agreements with people is higher than their commitment to other agents. In the experiments, which comprised 147 computer science students, we used the Colored Trails game as the negotiation environment. We suggest possible explanations for the relationships among online players, agent designers, human opponents and automated opponents.
MobiSys 2003: On the Cutting Edge in San Francisco
Authors: James Mickens, Marco Gruteser, Justin Mazzola Paluska, Mary Baker
Venue: IEEE Pervasive Computing (2003)

This new Usenix/ACM conference on mobile systems, applications, and services provides a forum for the best cutting-edge research on enabling, supporting, and coping with mobility. This article reports on the conference highlights, including the keynote address, panel session, and poster and demo sessions.
A Prototype for Future Spoken Dialog Systems Using an Embodied Conversational Agent
Authors: Marcel Dausend, Ute Ehrlich
Venue: Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems (2008)

Mercedes Benz presented its prototype F700 at the IAA 2007 automotive fair. This paper describes the multimodal dialog component as part of the Human Machine Interaction concept in this car. An Embodied Conversational Agent (ECA) was integrated into the dialog system based on concepts from human cognitive perception. The ECA supports a more natural dialog, e.g. spontaneous speech or mixed-initiative. This required the implementation of an advanced confirmation and correction strategy taking into account both safety and driver comfort. We set the focus of this demonstration on the navigation service.
Refinement of State-Based Systems: ASMs and Big Commuting Diagrams (Abstract)
Authors: Gerhard Schellhorn
Venue: Proceedings of the 1st international conference on Abstract State Machines, B and Z (2008)

Effective and efficient support for the incremental development of verified implementations from abstract requirements has always been of central importance for the successful application of formal methods in practice.Effective means first, that a modelling language is available that allows an adequate problem specification. Second, a refinement theory must be available that preserves the relevant properties of the abstract specification.Efficient means, that the refinement theory reduces the problem to the essential proof obligations necessary, and that the theorem prover provides powerful deduction support.The talk discusses the topic from the experience we have gained from formalizing various refinement theories [1], [2] with the interactive theorem prover KIV [3], as well as from the correctness proofs for various case studies involving refinement.
Productivity analysis of the telecommunications sector in China
Authors: Pun-Lee Lam, Alice Shiu
Venue: Telecommunications Policy (2008)

This paper applies the data envelopment analysis (DEA) approach to measure the productivity performance of China's telecommunications sector at the provincial level. The results indicate that the efficiency scores for different provinces and regions are diverse: the efficiency scores of the provinces in the eastern region are significantly higher than those in the central and western regions. The differences in efficiency scores are mainly due to the differences in the operating environments of different provinces, rather than the efficiency performance of telecommunications enterprises. The results also suggest that labour redundancy and excess capacity of long-distance optical cable lines are major problems in China's telecommunications sector. After a period of rapid growth in investment and number of subscribers, it is time for the telecommunications sector to consolidate and to put more emphasis on productivity growth in order to meet the challenges posed by the World Trade Organization (WTO) commitments.
Teaching Constructive Security
Authors: Cynthia E. Irvine
Venue: IEEE Security and Privacy (2003)

Attack understanding plays a key role in a cybersecurity education program, but students also must learn cybersecurity's core principles and how to construct secure systems. Students taught to understand the attacks on and vulnerabilities of current systems-and, presumably, how to create and install repairs to mitigate these attacks-only address the systems' superficial weaknesses. This approach serves neither our students nor the cyber infrastructure's stability. We must prepare our students to build a better future, and we can achieve this only by teaching them constructive security principles.
Emergent Narrative and Late Commitment
Authors: Ivo Swartjes, Edze Kruizinga, Mariët Theune, Dirk Heylen
Venue: Proceedings of the 8th international conference on Intelligent Virtual Agents (2008)

Emergent narrative is an approach to interactive storytelling in which stories result from local interactions of autonomous characters. We describe a technique for emergent narrative that enables the characters to fill in the story world during the simulation when this is useful for the developing story.
Ispy: detecting ip prefix hijacking on my own
Authors: Zheng Zhang, Ying Zhang, Y. Charlie Hu, Z. Morley Mao, Randy Bush
Venue: Proceedings of the ACM SIGCOMM 2008 conference on Data communication (2008)

IP prefix hijacking remains a major threat to the security of the Internet routing system due to a lack of authoritative prefix ownership information. Despite many efforts in designing IP prefix hijack detection schemes, no existing design can satisfy all the critical requirements of a truly effective system: real-time, accurate, light-weight, easily and incrementally deployable, as well as robust in victim notification. In this paper, we present a novel approach that fulfills all these goals by monitoring network reachability from key external transit networks to one's own network through lightweight prefix-owner-based active probing. Using the prefix-owner's view of reachability, our detection system, iSPY, can differentiate between IP prefix hijacking and network failures based on the observation that hijacking is likely to result in topologically more diverse polluted networks and unreachability. Through detailed simulations of Internet routing, 25-day deployment in 88 ASes (108 prefixes), and experiments with hijacking events of our own prefix from multiple locations, we demonstrate that iSPY is accurate with false negative ratio below 0.45% and false positive ratio below 0.17%. Furthermore, iSPY is truly real-time; it can detect hijacking events within a few minutes.
Talking to strangers without taking their candy: isolating proxied content
Authors: Adrienne Felt, Pieter Hooimeijer, David Evans, Westley Weimer
Venue: Proceedings of the 1st Workshop on Social Network Systems (2008)

Social networks have begun supporting external content integration with platforms like OpenSocial and the Facebook API. These platforms let users install third- party applications and are a popular example of a mashup. Content integration is often accomplished by proxying the third-party content or importing third-party scripts. However, these methods introduce serious risks of user impersonation and data exposure. Modern browsers provide no mechanism to differentiate between trusted and untrusted embedded content. As a result, content providers are forced to trust third-party scripts or ensure user safety by means of server-side code sanitization. We demonstrate the difficulties of server-side code filtering -- and the ramifications of its failure - with an example from the Facebook Platform. We then propose browser modifications that would distinguish between trusted and untrusted content and enforce their separation.
Improving Quality of Life from Birth to Old Age with Ubiquitous Computing and Virtual Reality
Authors: Sébastien Duval, Christian Hoareau, Hiromichi Hashizume
Venue: Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (2008)

Virtual reality and ubiquitous computing can significantly improve the general public's quality of life worldwide from birth to old age because they allow monitoring, awareness and support in real and digital worlds thanks to sensors, actuators, remote connections, and dedicated knowledge bases. However, age influences their usefulness and appropriateness due to growth and decline as well as changes in activities and uses of technology. Based on the cognitive, physical, physiological, and sensory characteristics of young people and older adults, we discuss dedicated systems that exploit intelligent environments, wearable computers and virtual reality. Our most significant contribution is the analysis of the potential and limits of ubiquitous computing and virtual reality to improve quality of life, taking into account all age ranges.
EEG Switching: Three Views from Dynamical Systems
Authors: Carlos Lourenço
Venue: Proceedings of the 18th international conference on Artificial Neural Networks, Part II (2008)

There is evidence that the same neural substrate may support different dynamical regimes and hence give rise to different EEG signals. However, the literature lacks successful attempts to systematically explain the different regimes --and the switching between them-- within a coherent setting. We explore a mathematical model of neural tissue and call upon concepts from dynamical systems to propose a possible explanation of such processes. The model does not aim to capture a high degree of neurophysiological detail. It rather provides an opportunity to discuss the change in the signals from a dynamical perspective. Notwithstanding, realistic values are adopted for the model parameters, and the resulting EEG also shows typical frequencies in a realistic range. We identify three mechanisms accounting for change: external forcing, bifurcation, and small perturbations of a chaotic attractor.
A client driven interactive free-viewpoint video system
Authors: You Yang, Mei Yu, Gangyi Jiang, Zongju Peng
Venue: Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science (2008)

A client-oriented free-viewpoint video system is presented in this paper. This system is divided as distinctive but interconnected parts, from video encoder, adaptive and interactive disparity extractor, to virtual view rendering. Adaptive disparity extractor is proposed and embedded to multiview video encoder, and the output bitstream is constructed by disparity layer and video layer. Virtual viewpoint images in the procedure of client-system interaction will be interpolated via disparity based algorithm after the decoded disparity information is refined. Experimental results show that, the bitstream from disparity map accounts for a little proportion in transmission, while high quality of virtual images can be provided to clients.
Commitment Monitoring in a Multiagent System
Authors: Paola Spoletini, Mario Verdicchio
Venue: Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V (2007)

Agent Communication Languages (ACLs) play a fundamental role in open multiagent systems where message exchange is the main if not the only way for agents to coordinate themselves. New proposals about ACL semantics based on social commitments aim at countering the shortcomings of the mainstream mental-state-based ones. The commitment solution does not come for free and calls for an adequate monitoring system that checks whether commitments are fulfilled or not.