ppxscal/embedding_network huggingface dataset:
A Soothing Software Robot: Modeling Users' Emotions from Utterances
Authors: Yuki Tsuburaya, Hapugahage Thilak Chaminda, Azusa Saito, Minetada Osano
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

In stressful modern societies, robot therapy has attracted attention. This therapy consists of talking, touching, and interacting with a robot, like a pet, in order to obtain comfort. Some such pet robots have already been built. In order to feel comforted, not only must robots have emotions but also they should interpret human emotions and be considerate of others. The software named "Lea" has two original concepts that are an emotion dictionary and a behavior database. Lea receives voice input, and a Graphical User Interface (GUI) displays text and expressive facial graphics. Experiments with Lea have shown that 79% of people reacted positively in spite of lowness that is 57% adequacy of reactions. It is considered that cuteness and friendliness redeemed inappropriate reactions. It issues that enhancing the accuracy of inferring the user’s emotion and deciding the reaction in the future.
Business Models for IPTV Service; Integrated or Platform?
Authors: Yousin Park, Yunju Chen, Masashi Ueda
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

IPTV is sought to be one of attraction contents for broadband network or its diffusion drive while the situation of physical faculties, network coverage, speed, and competition situation are so different area by area while the business model for this service is not always profitable.So we analyse the condition of IPTV business based on Michel Porter’s five-force model.The major factors for promoting its diffusion are followings: 1) regulatory framework of property rights and media communications, 2) bargaining power of contents provider/aggregators, 3) competitive servicers (cable, satellite, or video rental shops.) or potential entrants, and 4) marketing strategy of communication carriers, 5) customers’ demand.We found that IPTV is an aggregated service of live streaming and video-on-demand now.And the business conditions for these two services are different so that diffusion rate for them also different.
Evaluation of reverse tone mapping through varying exposure conditions
Authors: Belen Masia, Sandra Agustin, Roland W. Fleming, Olga Sorkine, Diego Gutierrez
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

Most existing image content has low dynamic range (LDR), which necessitates effective methods to display such legacy content on high dynamic range (HDR) devices. Reverse tone mapping operators (rTMOs) aim to take LDR content as input and adjust the contrast intelligently to yield output that recreates the HDR experience. In this paper we show that current rTMO approaches fall short when the input image is not exposed properly. More specifically, we report a series of perceptual experiments using a Brightside HDR display and show that, while existing rTMOs perform well for under-exposed input data, the perceived quality degrades substantially with over-exposure, to the extent that in some cases subjects prefer the LDR originals to images that have been treated with rTMOs. We show that, in these cases, a simple rTMO based on gamma expansion avoids the errors introduced by other methods, and propose a method to automatically set a suitable gamma value for each image, based on the image key and empirical data. We validate the results both by means of perceptual experiments and using a recent image quality metric, and show that this approach enhances visible details without causing artifacts in incorrectly-exposed regions. Additionally, we perform another set of experiments which suggest that spatial artifacts introduced by rTMOs are more disturbing than inaccuracies in the expanded intensities. Together, these findings suggest that when the quality of the input data is unknown, reverse tone mapping should be handled with simple, non-aggressive methods to achieve the desired effect.
Augmented assembly using a mobile phone
Authors: Mika Hakkarainen, Charles Woodward, Mark Billinghurst
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

We present a mobile phone based augmented reality (AR) assembly system that enable users to view complex models on their mobile phones. It is based on a client-server architecture, where complex model information is located on a PC, and a mobile phone with the camera is used as a thin client access device to this information. With this system users are able to see an AR view that provides step by step guidance for a real world assembly task. We also present results from a pilot user study evaluating the system, showing that people felt the interface was intuitive and very helpful in supporting the assembly task.
A Study on Grid-Based VOD System in the E-Learning
Authors: Kong Feng, Yang Xudong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

E-Learning has become a hot method for learning with the overall popularity of the Internet, which makes learners absorb new knowledge without restrictions on time or place. As an important type of Distance Education, an essential link in the application of E-Learning, Video-On-Demand (VOD) technology meet the requirement of multimedia source by learners. In the paper, by using the technical advantage of grid technology, we put forward a better solution for traditional single VOD server which is easy to cause a bottleneck in processor performance and storage capacity and so on, and present an integrated approach of multi-VOD server with grid technology. This proposition will benefit learners in pursuit of knowledge undoubtedly in the future.
RequestPolicy: Increasing Web Browsing Privacy through Control of Cross-Site Requests
Authors: Justin Samuel, Beichuan Zhang
Venue: Proceedings of the 9th International Symposium on Privacy Enhancing Technologies (2009)

Many requests that a Web browser makes are not made to the primary site a user is visiting. It is common for websites to instruct browsers to make additional requests to third-party sites for content, advertisements, as well as for purely user-tracking purposes. Current techniques for maintaining user privacy with respect to cross-site requests are limited and inadequate. We propose a client-side whitelist for controlling third-party website requests. We implement this as RequestPolicy, an extension for Mozilla browsers. We look at the usability of RequestPolicy as well its impact on the Web browsing experience. Our extension maintains a high level of usability while safeguarding user privacy against well-known threats in addition to new threats we draw attention to.
Selecting sentences for answering complex questions
Authors: Yllias Chali, Shafiq R. Joty
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topic-oriented, informative multi-document summarization. In this paper, we have experimented with one empirical and two unsupervised statistical machine learning techniques: k-means and Expectation Maximization (EM), for computing relative importance of the sentences. However, the performance of these approaches depends entirely on the feature set used and the weighting of these features. We extracted different kinds of features (i.e. lexical, lexical semantic, cosine similarity, basic element, tree kernel based syntactic and shallow-semantic) for each of the document sentences in order to measure its importance and relevancy to the user query. We used a local search technique to learn the weights of the features. For all our methods of generating summaries, we have shown the effects of syntactic and shallow-semantic features over the bag of words (BOW) features.
User Centered Design of a Learning Object Repository
Authors: Nuria Ferran, Ana-Elena Guerrero-Roldán, Enric Mor, Julià Minguillón
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

This work outlines the design process of a user centered learning object repository. A repository should foster the development and acquisition of both generic and specific informational competencies. The results of the first stage of the user centered design process are presented which provide a clear understanding of user and task requirements and the context of use. A user study was conducted using quantitative and qualitative methodologies. A qualitative approach was performed through the content analysis of 24 in-depth interviews achieved through a random stratified sampling method. Regarding the quantitative approach, more than 5 million student navigation sessions were processed in order to know the real information behavior accomplished in the virtual campus and more specifically all the services and resources used and the search actions carried out by users. Our aim is to achieve a thorough informational behavior analysis that involves access, treatment, integration, evaluation, creation and communication of information for learning purposes which will be useful for integrating learning object repositories in virtual learning environments.
Security of RFID Protocols -- A Case Study
Authors: Ton van Deursen, Saša Radomirović
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

In the context of Dolev-Yao style analysis of security protocols, we investigate the security claims of a recently proposed RFID authentication protocol. We exhibit a flaw which has gone unnoticed in RFID protocol literature and present the resulting attacks on authentication, untraceability, and desynchronization resistance. We analyze and discuss the authors' proofs of security. References to other vulnerable protocols are given.
Macroscopic models of clique tree growth for Bayesian networks
Authors: Ole J. Mengshoel
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing clique tree growth as a function of increasing Bayesian network connectedness, specifically: (i) the expected number of moral edges in their moral graphs or (ii) the ratio of the number of non-root nodes to the number of root nodes. In experiments, we systematically increase the connectivity of bipartite Bayesian networks, and find that clique tree size growth is well-approximated by Gompertz growth curves. This research improves the understanding of the scaling behavior of clique tree clustering, provides a foundation for benchmarking and developing improved BN inference algorithms, and presents an aid for analytical trade-off studies of tree clustering using growth curves.
Analysis of Enhanced Collision Avoidance Scheme Proposed for IEEE 802.11e-Enhanced Distributed Channel Access Protocol
Authors: Khalim Amjad Meerja, Abdallah Shami
Venue: IEEE Transactions on Mobile Computing (2009)

In enhanced distributed channel access (EDCA) protocol, small contention window (CW) sizes are used for frequent channel access by high-priority traffic (such as voice). But these small CW sizes, which may be suboptimal for a given network scenario, can introduce more packet collisions, and thereby, reduce overall throughput. This paper proposes enhanced collision avoidance (ECA) scheme for AC_VO access category queues present in EDCA protocol. The proposed ECA scheme alleviates intensive collisions between AC_VO queues to improve voice throughput under the same suboptimal yet necessary (small size) CW restrictions. The proposed ECA scheme is studied in detail using Markov chain numerical analysis and simulations carried out in NS-2 network simulator. The performance of ECA scheme is compared with original (legacy) EDCA protocol in both voice and multimedia scenarios. Also mixed scenarios containing legacy EDCA and ECA stations are presented to study their coexistence. Comparisons reveal that ECA scheme improves voice throughput performance without seriously degrading the throughput of other traffic types.
Frequent Itemset Mining in Multirelational Databases
Authors: Aída Jiménez, Fernando Berzal, Juan-Carlos Cubero
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

This paper proposes a new approach to mine multirelational databases. Our approach is based on the representation of a multirelational database as a set of trees. Tree mining techniques can then be applied to identify frequent patterns in this kind of databases. We propose two alternative schemes for representing a multirelational database as a set of trees. The frequent patterns that can be identified in such set of trees can be used as the basis for other multirelational data mining techniques, such as association rules, classification, or clustering.
A Semantic-Based Ontology Matching Process for PDMS
Authors: Carlos Eduardo Pires, Damires Souza, Thiago Pachêco, Ana Carolina Salgado
Venue: Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems (2009)

In Peer Data Management Systems (PDMS), ontology matching can be employed to reconcile peer ontologies and find correspondences between their elements. However, traditional approaches to ontology matching mainly rely on linguistic and/or structural techniques. In this paper, we propose a semantic-based ontology matching process which tries to overcome the limitations of traditional approaches by using semantics. To this end, we present a semantic matcher which identifies, besides the common types of correspondences (equivalence), some other ones (e.g., closeness). We also present an approach for determining a global similarity measure between two peer ontologies based on the identified similarity value of each correspondence. To clarify matters, we provide an example illustrating how the proposed approach can be used in a PDMS and some obtained experimental results.
Physical Layer Attacks on Unlinkability in Wireless LANs
Authors: Kevin Bauer, Damon Mccoy, Ben Greenstein, Dirk Grunwald, Douglas Sicker
Venue: Proceedings of the 9th International Symposium on Privacy Enhancing Technologies (2009)

Recent work has focused on hiding explicit network identifiers such as hardware addresses from the link layer to enable anonymous communications in wireless LANs. These protocols encrypt entire wireless packets, thereby providing unlinkability. However, we find that these protocols neglect to hide identifying information that is preserved within the wireless physical layer. We propose a technique using commodity wireless hardware whereby packets can be linked to their respective transmitters using signal strength information, thus degrading users' anonymity. We discuss possible countermeasures, but ultimately we argue that controlling information leakage at the physical layer is inherently difficult.
A Framework for Multi Robot Guidance Control
Authors: Onur Keskin, Erol Uyar
Venue: Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2009)

In this paper we present a framework for path planning and path finding for multiple mobile robots with global vision. Our framework model considers the agents' dynamic status and their environment with obstacles to perform given tasks. The global vision system provides feedback to main controller computer and mobile robots are directed towards to their tasks with avoiding obstacles and without any collision. Different kinds of scenario are prepared to simulate manipulating tasks and non-collision behavior with our framework. Experiment results with Lego Mindstorms NXT shows that our framework can be used where a multi robot system is needed with minimum resources.
A New Dynamic Key Encryption Algorithm Based on Coupled Chaotic Systems
Authors: Huang Yiran
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

This paper proposes a new dynamic key encryption algorithm based on coupled chaotic systems. This algorithm improves the system security, guarantees the system key space, and realizes the idea of one-time pad. With the merits such as fast operation speed, high security performance, non-extra distortion, precise restoration, the algorithm extremely suits to the WEB encryption.
Robust and unobtrusive marker tracking on mobile phones
Authors: Daniel Wagner, Tobias Langlotz, Dieter Schmalstieg
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Marker tracking has revolutionized Augmented Reality about a decade ago. However, this revolution came at the expense of visual clutter. In this paper, we propose several new marker techniques, which are less obtrusive than the usual black and white squares. Furthermore, we report methods that allow tracking beyond the visibility of these markers further improving robustness. All presented techniques are implemented in a single tracking library, are highly efficient in their memory and CPU usage and run at interactive frame rates on mobile phones.
Utopia Providing Trusted Social Network Relationships within an Un-trusted Environment
Authors: William Gauvin, Benyuan Liu, Xinwen Fu, Jie Wang
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

This paper introduces an unobtrusive method and distributed solution set to aid users of on-line social networking sites, by creating a trusted environment in which every member has the ability to identify each other within their private social network by name, gender, age, location, and the specific usage patterns adopted by the group. Utopia protects members by understanding how the social network is created and the specific aspects of the group that make it unique and identifiable. The main focus of Utopia is the protection of the group, and their privacy within a social network from predators and spammers that characteristically do not fit within the well defined usage boundaries of the social network as a whole. The solution set provides defensive, as well as offensive tools to identify these threats. Once identified, client desktop tools are used to prevent these predators from further interaction within the group. In addition, offensive tools are used to determine the origin of the predator to allow actions to be taken by automated tools and law enforcement to alleviate the threat.
GPLSI: word coarse-grained disambiguation aided by basic level concepts
Authors: Rubén Izquierdo, Armando Suárez, German Rigau
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

We present a corpus-based supervised learning system for coarse-grained sense disambiguation. In addition to usual features for training in word sense disambiguation, our system also uses Base Level Concepts automatically obtained from WordNet. Base Level Concepts are some synsets that generalize a hyponymy sub-hierarchy, and provides an extra level of abstraction as well as relevant information about the context of a word to be disambiguated. Our experiments proved that using this type of features results on a significant improvement of precision. Our system has achieved almost 0.8 F1 (fifth place) in the coarse--grained English all-words task using a very simple set of features plus Base Level Concepts annotation.
A General Framework for Revising Belief Bases Using Qualitative Jeffrey's Rule
Authors: Salem Benferhat, Didier Dubois, Henri Prade, Mary-Anne Williams
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey's rule, which extends conditioning to uncertain inputs, is currently used for revising probabilistic epistemic states when new information is uncertain. This paper analyses the expressive power of two possibilistic counterparts of Jeffrey's rule for modeling belief revision in intelligent agents. We show that this rule can be used to recover most of the existing approaches proposed in knowledge base revision, such as adjustment, natural belief revision, drastic belief revision, revision of an epistemic by another epistemic state. In addition, we also show that that some recent forms of revision, namely improvement operators, can also be recovered in our framework.
High-throughput minor histocompatibility antigen prediction
Authors: David S. DeLuca, Britta Eiz-Vesper, Nektarios Ladas, Barbara Anna-Maria Khattab, Rainer Blasczyk
Venue: Bioinformatics (2009)

Motivation: Minor histocompatibility antigens (mHags) are a diverse collection of MHC-bound peptides that have immunological implications in the context of allogeneic transplantation because of their differential presence in donor and host, and thus play a critical role in the induction of the detrimental graft-versus-host disease (GvHD) or in the development of the beneficial graft-versus-leukemia (GvL) effect. Therefore, the search for mHags has implications not only for preventing GvHD, but also for therapeutic applications involving leukemia-specific T cells. We have created a web-based system, named PeptideCheck, which aims to augment the experimental discovery of mHags using bioinformatic means. Analyzing peptide elution data to search for mHags and predicting mHags from polymorphism and protein databases are the core features. Results: Comparison with known mHag data reveals that some but not all of the previously known mHags can be reproduced. By applying a system of filtering and ranking, we were able to produce an ordered list of potential mHag candidates in which HA-1, HA-3 and HA-8 occur in the best 0.25%. By combining single nucleotide polymorphism, protein, tissue expression and genotypic frequency data, together with antigen presentation prediction algorithms, we propose a list of the best peptide candidates which could potentially induce the GvL effect without causing GvFD. Availability: http://www.peptidecheck.org Contact: blasczyk.rainer@mh-hannover.de
Application of ZigBee Communication in Mobile Monitor
Authors: Yanxia Liu, Shufen Li, Liting Cao
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

With the personal request for treatment and the pressure of decreasing accident, it is necessary particularly to use a new technology in hospital. Using ZigBee wireless network, the information of patient will be send to doctor more faster than ever. This will reduce treatment time and cost largely. At the same time, the efficiency of examining ward will be improve. On the other hand, it will avoid treatment accident that is brought by bad handwriting probably. The application of mobile monitor based on ZigBee wireless mesh network is present in the paper. In hardware, an ARM architecture high-powered, low-cost chip( Samsung CPU S3C2410) act as the gateway node processor. The ATmega1281v is the processor for terminal sensor node. Wireless chip CC2420 and AT86RF230 are adopted in the two different sensor node respectively. In software, UC/OS-II multitask operation system is used. It is a indeed real time operation system suited for industrial control and better than anyone else.