ppxscal/embedding_network huggingface dataset:
Attachment and sense of presence in a virtual environment
Authors: Helene S. Wallach, Marilyn P. Safir, Idan Almog
Venue: Virtual Reality (2009)

This study is the first to investigate the connection between attachment categories and presence in Virtual Reality (VR) environments. Participants (99) completed an attachment questionnaire, experienced Virtual Reality Exposure (VRE) in a virtual airplane, and completed a presence questionnaire. Twenty-seven participants neglected to look at the virtual window, and reported lower levels of presence. A significant negative correlation between presence and avoidance was found. The correlation between presence and anxiety was not significant. Ethnicity (Jewish/non-Jewish) was found to be an intervening variable. A significant difference between levels of presence of attachment categories was found for participants who viewed the window: those in the Safe category reported the highest levels of presence, followed by the Anxious-Ambivalent group, the Dismissive-Avoidant group, and finally the Fearful-Avoidant group. Our results suggest there is a connection between one&#x2019;s avoidance level and his/her attachment type and ability to experience the VRE as real and vivid.
NexusDS: a flexible and extensible middleware for distributed stream processing
Authors: Nazario Cipriani, Mike Eissele, Andreas Brodt, Matthias Grossmann, Bernhard Mitschang
Venue: Proceedings of the 2009 International Database Engineering & Applications Symposium (2009)

Techniques for efficient and distributed processing of huge, unbound data streams have made some impact in the database community. Sensors and data sources, such as position data of moving objects, continuously produce data that is consumed, e.g., by location-aware applications. Depending on the domain of interest, e.g. visualization, the processing of such data often depends on domain-specific functionality. This functionality is specified in terms of dedicated operators that may require specialized hardware, e.g. GPUs. This creates a strong dependency which a data stream processing system must consider when deploying such operators. Many data stream processing systems have been presented so far. However, these systems assume homogeneous computing nodes, do not consider operator deployment constraints, and are not designed to address domain-specific needs. In this paper, we identify necessary features that a flexible and extensible middleware for distributed stream processing of context data must satisfy. We present NexusDS, our approach to achieve these requirements. In NexusDS, data processing is specified by orchestrating data flow graphs, which are modeled as processing pipelines of predefined and general operators as well as custom-built and domain-specific ones. We focus on easy extensibility and support for domain-specific operators and services that may even utilize specific hardware available on dedicated computing nodes.
Scheduling engineering works for the MTR corporation in Hong Kong
Authors: Andy Hon Wai Chun, Dennis Wai Ming Yeung, Garbbie Pui Shan Lam, Daniel Lai, Richard Keefe, Jerome Lam, Helena Chan
Venue: Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3 (2005)

This paper describes a Hong Kong MTR Corporation subway project to enhance and extend the current Web-based Engineering Works and Traffic Information Management System (ETMS) with an intelligent "AI Engine." The challenge is to be able to fully and accurately encapsulate all the necessary domain and operation knowledge on subway engineering works and to be able to apply this knowledge in an efficient manner for both validation as well as scheduling. Since engineering works can only be performed a few hours each night, it is crucially important that the "AI Engine" maximizes the number of jobs done while ensuring operational safety and resource availability. Previously, all constraint/resource checking and scheduling decisions were made manually. The new AI approach streamlines the entire planning, scheduling and rescheduling process and extends the ETMS with intelligent abilities to (1) automatically detect potential conflicts as work requests are entered, (2) check all approved work schedules for any conflicts before execution, (3) generate weekly operational schedules, (4) repair schedules after changes and (5) generate quarterly schedules for planning. The AI Engine uses a rule representation combined with heuristic search and a genetic algorithm for scheduling. An iterative repair algorithm was used for dynamic rescheduling.
FarsiSum: a Persian text summarizer
Authors: Martin Hassel, Nima Mazdak
Venue: Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages (2004)

FarsiSum is an attempt to create an automatic text summarization system for Persian. The system is implemented as a HTTP client/server application written in Perl. It uses modules implemented in an existing summarizer geared towards the Germanic languages, a Persian stop-list in Unicode format and a small set of heuristic rules.
Load Balancing System Applied Research
Authors: Zengqingjiang Yaojuan
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Load Balancing for high-Scheduler is scalable, highly available network services demand, borrowed many mature technology, the development of a high-performance server, cluster System is a key component of, this paper analyses the development of a network of four needs, details of the three load balancing technology, and accordingly is a load balancing scheduler design, then details of the resulting load balancing for a scheduling system structure of the groups set, finally, load balancing scheduling for specific applications.
On the Optimal Placement of Mix Zones
Authors: Julien Freudiger, Reza Shokri, Jean-Pierre Hubaux
Venue: Proceedings of the 9th International Symposium on Privacy Enhancing Technologies (2009)

In mobile wireless networks, third parties can track the location of mobile nodes by monitoring the pseudonyms used for identification. A frequently proposed solution to protect the location privacy of mobile nodes suggests changing pseudonyms in regions called mix zones. In this paper, we propose a novel metric based on the mobility profiles of mobile nodes in order to evaluate the mixing effectiveness of possible mix zone locations. Then, as the location privacy achieved with mix zones depends on their placement in the network, we analyze the optimal placement of mix zones with combinatorial optimization techniques. The proposed algorithm maximizes the achieved location privacy in the system and takes into account the cost induced by mix zones to mobile nodes. By means of simulations, we show that the placement recommended by our algorithm significantly reduces the tracking success of the adversary.
Estimation of GoS Parameters in Intelligent Network
Authors: Irina Buzyukova, Yulia Gaidamaka, Gennady Yanovsky
Venue: Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces (2009)

This paper presents the method of analyzing the post-selection delay in the SS7 channel and in Intelligent Network (IN) nodes which occur in the process of establishing a connection for IN service. This method is based on the application of theory for BCMP networks. The models are derived from the analysis of the call flow and SS7 nodes involved into call processing. As an example of Intelligent Service Freephone from Capability Set 1 is taken and post-selection delay is calculated for it.
On-Line Visualization as a Sequence Grid Application for Parametric Studies
Authors: Eva Pajorova, Ladislav Hluchy
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

The presented work is aimed at creation and test online visualization tool for Grid-based Parametric Studies as a sequence application in Grid environment. The design is tested on the applications those have the character as a Parametric studies. Examples are the Astronomical simulations. One of them is the simulation of the Oort-cloud formation. The dynamical evolution of the test particles was followed via numerical integration, in the GRID, for the period of 2 Gyr.The main problem is Visual control in time when the Grid application is still running
Integration of Domain Knowledge for Outlier Detection in High Dimensional Space
Authors: Sakshi Babbar
Venue: Database Systems for Advanced Applications: DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Brisbane, Australia, April 20 - 23, 2009 (2009)

The role of outlier or anomaly detection is to discover unusual and rare patterns in data. However, while the notion of "rare" can be quantified, what is "unusual" is high subjective and domain dependent. The focus of the proposal is to determine whether logic models like Probabilistic Relational Model, Default Reasoning and Ontologies can be used to integrate domain knowledge in the outlier discovery process. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
JHAVEPOP: visualizing linked-list operations in C++ and Java
Authors: David Furcy
Venue: Journal of Computing Sciences in Colleges (2009)

JHAVEPOP is a program visualization tool specialized in elementary pointer and linked-list operations. It is a web-started application pre-packaged with ready-made programming exercises in both Java and C++. The only preparation needed by instructors to use JHAVEPOP is telling their students what URL to load in their browsers. Once there, students read the problem statement, enter their program, and interact with an automatically generated, visual representation of the state of memory during program execution. JHAVEPOP has been used at both the high school and college level. Student feedback indicates that JHAVEPOP is helping them debug their programs faster and with less frustration.
Transferring naive bayes classifiers for text classification
Authors: Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

A basic assumption in traditional machine learning is that the training and test data distributions should be identical. This assumption may not hold in many situations in practice, but we may be forced to rely on a different-distribution data to learn a prediction model. For example, this may be the case when it is expensive to label the data in a domain of interest, although in a related but different domain there may be plenty of labeled data available. In this paper, we propose a novel transfer-learning algorithm for text classification based on an EM-based Naive Bayes classifiers. Our solution is to first estimate the initial probabilities under a distribution Dl of one labeled data set, and then use an EM algorithm to revise the model for a different distribution Du of the test data which are unlabeled. We show that our algorithm is very effective in several different pairs of domains, where the distances between the different distributions are measured using the Kullback-Leibler (KL) divergence. Moreover, KL-divergence is used to decide the trade-off parameters in our algorithm. In the experiment, our algorithm outperforms the traditional supervised and semi-supervised learning algorithms when the distributions of the training and test sets are increasingly different.
Semantics, Types and Effects for XML Updates
Authors: Michael Benedikt, James Cheney
Venue: Proceedings of the 12th International Symposium on Database Programming Languages (2009)

The W3C recently released the XQuery Update Facility 1.0, a Candidate Recommendation for an XML update language. It appears likely that this proposal will become standard. XQuery has been equip- ped with a formal semantics and sound type system, but there has been little work on static analysis or typechecking of XML updates, and the typing rules in the current W3C proposal appear unsound for "transform" queries that perform embedded updates. In this paper, we investigate the problem of schema alteration, or synthesizing an output schema describing the result of an update applied to a given input schema. We review regular expression type systems for XQuery, present a core language and semantics for W3C-style XML updates, and develop an effect analysis and schema alteration, which can be used as the basis for sound typechecking for queries involving "transform".
The Implementation of Distributed Wireless Data Center System
Authors: Sun Jianhua, Lin Deqiang
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

This article discusses the agent-based wireless data center architecture. The system is devised by 6 parts, such as the GPRS communications services, the embedded Linux database server, the GSM modem, the core monitoring system, the B/S access control and the wireless router firewall and so on. They can be distributed in different servers or the same server. The system uses a distributed work model, involves GPRS network technology, RS-232/RS-485 serial transfer protocol, Transmission Control Protocol/Internet Protocol, systematic anti-jamming circuit design technology.
CommunityPVR: A Service to Deliver the Long Tail for On-Demand TV
Authors: Ahsan Habib, Stuart Goose
Venue: IEEE MultiMedia (2009)

CommunityPVR forms a P2P network among set-top boxes to provide a resilient streaming service that can exponentially increase the choice of available shows.
Multi-view Analysis on Coordinate Intelligent Diagnosis Process
Authors: Han Yanling, Cao Shouqi, Liu Lilan
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Facing to the increasingly complication and intelligence of modern manufacture system, the research on coordinate intelligent diagnosis has become development trend. This paper proposed the multi-view model of coordinate intelligent diagnosis process, parsed deeply the organization and running mode of information, knowledge and intelligence in the process of intelligent diagnosis, and depicted its structure appearance. At first, the multi-view model and the mutual relationship description of coordinate intelligent diagnosis were given from the macroscopic and microcosmic facets; and then, from four sides such as structure, action, knowledge and restraint, coordinate intelligent diagnosis process was investigated, the structure view, action view, knowledge view and restraint view of coordinate intelligent diagnosis process were built from all sides and multi-angle; the coordinate and intelligent characteristic of diagnosis process were researched deeply, which established the basis for further research on related technology of coordinate intelligent diagnosis process.
Automatic agenda graph construction from human-human dialogs using clustering method
Authors: Cheongjae Lee, Sangkeun Jung, Kyungduk Kim, Gary Geunbae Lee
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

Various knowledge sources are used for spoken dialog systems such as task model, domain model, and agenda. An agenda graph is one of the knowledge sources for a dialog management to reflect a discourse structure. This paper proposes a clustering and linking method to automatically construct an agenda graph from human-human dialogs. Preliminary evaluation shows our approach would be helpful to reduce human efforts in designing prior knowledge.
Enabling People --- Creating Inclusive Human-Computer Interactions
Authors: Rama Gheerawo, Yanki Lee
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Inclusive design has traditionally dealt with physical design and differences in age and ability. However, as information technology becomes more pervasive, the new barriers to inclusivity are increasingly digital. Centring design around people can increase competitiveness and value, especially in fast-moving technology markets, but technology-specific, people-centred strategies need to be developed that build on existing inclusive design processes and go beyond the 'technology-push needs-pull' approach to accommodate the social complexity that surrounds the everyday use of technology. This paper focuses on the challenges of implementing inclusive design in an technology context, illustrating this with examples drawn from the Royal College of Art Helen Hamlyn Centre (HHC). It outlines work done with students within an educational context and projects completed by design graduates working with industry. The case studies aim to demonstrate an approach that brings together the user's voice and the designer's creativity to enable a more inclusive approach.
Addressing Constraint Failures in Agent Interaction Protocol
Authors: Fadzil Hassan, Dave Robertson, Chris Walton
Venue: Multi-Agent Systems for Society: 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, Kuala Lumpur, Malaysia, September 26-28, 2005, Revised Selected Papers (2009)

The field of multi-agent systems shifts attention from one particular agent to a society of agents; hence the interactions between agents in the society become critical towards the achievement of their goals. We assume that the interactions are managed via an agent protocol which enables agents to coordinate their actions in order to handle the dependencies that exist between their activities. An agent's failure to comply with the constraints attached within the protocol might cause a brittle protocol to fail. To address this problem, a constraint relaxation approach is applied using a distributed protocol language called the Lightweight Coordination Calculus (LCC). This paper describes the design and implementation of a constraint relaxation module to be integrated within the LCC framework. The working of this module is later illustrated using a scenario involving the ordering and configuration of a computer between the customer and vendor agents.
Randomized adaptive spatial decoupling for large-scale vehicle routing with time windows
Authors: Russell Bent, Pascal Van Hentenryck
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

In recent years, the size of combinatorial applications and the need to produce high-quality solutions quickly have increased steadily, providing significant challenges for optimization algorithms. This paper addresses this issue for large-scale vehicle routing problems with time windows, a class of very difficult optimization problems involving complex spatial and temporal dependencies. It proposes a randomized adaptive spatial decoupling (RASD) scheme for vehicle routing with time windows in order to produce high-quality solutions quickly. Experimental results on hard instances with 1,000 customers and 90 vehicles show that the RASD scheme, together with large neighborhood search, significantly improves the quality of the solutions under time constraints. Interestingly, the RASD scheme, when allowed to run longer, also improves the best available solutions in almost all the tested instances.
Evolutionary Swarm Algorithm Based on Evolutionary Swarm Model
Authors: Haiyan Quan, Xinling Shi
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

The paper introduces an evolution swarm model that clearly demonstrates many intelligent algorithms. Based on the model, an evolutionary swarm algorithm is designed. In this work, the evolutionary swarm algorithm is tested with 5 multivariable benchmark functions. The simulation results show that the algorithm possesses an excellent performance in the global optimization, and can be efficiently employed to solve the multimodal function optimization for the multimodal function with high dimensionality.
The axioms strike back: testing with concepts and axioms in C++
Authors: Anya Helene Bagge, Valentin David, Magne Haveraaen
Venue: Proceedings of the eighth international conference on Generative programming and component engineering (2009)

Modern development practises encourage extensive testing of code while it is still under development, using unit tests to check individual code units in isolation. Such tests are typically case-based, checking a likely error scenario or an error that has previously been identified and fixed. Coming up with good test cases is challenging, and focusing on individual tests can distract from creating tests that cover the full functionality. Axioms, known from program specification, allow for an alternative way of generating test cases, where the intended functionality is described as rules or equations that can be checked automatically. Axioms are proposed as part of the concept feature of the upcoming C++0x standard. In this paper, we describe how tests may be generated automatically from axioms in C++ concepts, and supplied with appropriate test data to form effective automated unit tests.
Brief paper: On the stability of a reduced-order filter based on dominant singular value decomposition of the system dynamics
Authors: H. S. Hoang, R. Baraille, O. Talagrand
Venue: Automatica (Journal of IFAC) (2009)

The stability of a reduced-order filter (ROF), the gain of which is constructed on the basis of a subspace of dominant singular vectors of the system dynamics, is examined. A definition of s-detectability is introduced. It is found that the observability of all unstable and neutral singular vectors (s-detectability) is a sufficient condition for the existence of a stable filter.
Real Time Object Detection and Motion
Authors: Muhammad Sarfraz, Amina Taimur
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

This paper proposes new object detection and chasing technique by using patterns to overcome environmental factors. Shadow of the object has been removed by using the dynamic threshold. Problems in object detection, caused due to light variations and blur frames, are also resolved.
Improving name discrimination: a language salad approach
Authors: Ted Pedersen, Anagha Kulkarni, Zornitsa Kozareva, Roxana Angheluta, Thamar Solorio
Venue: Proceedings of the International Workshop on Cross-Language Knowledge Induction (2006)

This paper describes a method of discriminating ambiguous names that relies upon features found in corpora of a more abundant language. In particular, we discriminate ambiguous names in Bulgarian, Romanian, and Spanish corpora using information derived from much larger quantities of English data. We also mix together occurrences of the ambiguous name found in English with the occurrences of the name in the language in which we are trying to discriminate. We refer to this as a language salad, and find that it often results in even better performance than when only using English or the language itself as the source of information for discrimination.