ppxscal/embedding_network huggingface dataset:
Mobile Augmented Reality in industrial applications: Approaches for solution of user-related issues
Authors: Johannes Tumler, Fabian Doil, Rudiger Mecke, Georg Paul, Michael Schenk, Eberhard A. Pfister, Anke Huckauf, Irina Bockelmann, Anja Roggentin
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Augmented Reality (AR) uses computer-generated virtual information to enhance the user’s information access. While numerous previous studies have demonstrated the large potential of AR to improve industrial processes by enhancing product quality and reducing production times it is still unclear if and how long term usage of such AR technology produces stress and strain. This paper presents an approach to use the analysis of Heart Rate Variability to objectively measure current user strain during different work tasks. Results of a user study comparing strain during an AR supported and a non-AR supported work task in a laboratory setting are presented and discussed.
A Novel Artificial Immune Algorithm for Job Shop Scheduling
Authors: Lu Hong
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

The job shop scheduling problem (JSSP) is one of the most difficult problems, as it is classified as an NP-complete one. In this paper, by integrating chaos mechanism and niche technique, a novel artificial immune algorithm based on the clonal selection principle and idiotypic immune network theory exhibited in biological immune system is proposed to solve classical job shop scheduling problem. Taking advantages of the ergodic and stochastic properties of chaotic variable, an adaptive chaos mutation operator is designed by the combination of prior knowledge of antibody and evolution iterations. The operator can avoid blind search and enhance the convergence speed effectively. Experimental results indicate that the proposed algorithm is highly competitive, being able to produce better solutions than GA and CLONALG in several cases, and is a viable alternative for solving efficiently job shop scheduling problem.
Evolutionary design of oriented-tree networks using Cayley-type encodings
Authors: Sancho Salcedo-Sanz, Maurizio Naldi, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, Emilio G. Ortiz-García
Venue: Information Sciences: an International Journal (2009)

This paper introduces the oriented-tree network design problem (OTNDP), a general problem of tree network design with several applications in different fields. We also present several adaptations needed by evolutionary algorithms with Cayley-type encodings to tackle the OTNDP. In particular, we present these adaptations in two Cayley-encodings known as Prufer and Dandelion codes. We include changes in Cayley-encodings to consider rooted trees. We also show how to use a fixed-length encoding for Cayley codes in evolutionary algorithms, and how to guarantee that the optimal solution is included in the search space. Finally, we present several adaptations of the evolutionary algorithm's operators to deal with Cayley-encodings for the OTNDP. In the experimental part of the paper, we compare the performance of an evolutionary algorithm (implementing the two Cayley-encodings considered) in several OTNDP instances: first, we test the proposed techniques in randomly generated instances, and second, we tackle a real application of the OTNDP: the optimal design of an interactive voice response system (IVR) in a call center.
A Model of Resource Reservation in Grid
Authors: Jing Li
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Grid resource management plays an important role while enabling the sharing and coordinating of resources in Grid computing environments. Resource reservation is an important part of the Grid resource management. An advance reservation is a scheduling object which reserves a group of resources for a particular timeframe for access only by a specified entity or group of entities. Combining resource reservation with computing economics, we propose a mathematic model which can determine resource booking quantity. In this model, taking economic interest and reputation index of service supplier into account, an optimization problem of two targets under hypothesis is simplified in reason. Through numeric calculation and analysis, we show there is an optimal point for the advance booking of resource.
Intelligent Motion Tracking by Combining Specialized Algorithms
Authors: Matthias Weber
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

Motion Capture is a widely accepted approach to capture natural human motion, usually utilizing markers to track certain anthropological points on the participant's body. Unfortunately, these markers do not carry any identification information. Furthermore, marker data can be noisy. To address these problems this work suggests a hybrid approach, i.e. an approach using several experts to solve easier, less complex subproblems. Currently, the presented hybrid approach is built upon three methods, two for identification and one for tracking purposes. For identification of an initial posture, a PCA-based technique for aligning a skeleton model as well as a tree-based optimization comparing anthropometric and tracking data are introduced. To complement the hybrid computation pipeline a neural network algorithm based on self-organizing maps tracks the markers on subsequent frames.
Finding Top-N Pseudo Formal Concepts with Core Intents
Authors: Yoshiaki Okubo, Makoto Haraguchi
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

We discuss in this paper a method for finding Top-N Pseudo Formal Concepts. A pseudo formal concept (pseudo FC in short) can be viewed as a natural approximation of formal concepts. It covers several formal concepts as its majorities and can work as a representative of them. In a word, such a pseudo FC is defined as a triple (X, Y, S), where X is a closed set of objects, Y a set of primary features, S a set of secondary features. Then, the concept tells us that 1) all of the objects in X are associated with the primary features Y and 2) for each secondary feature y ¿ S, a majority of X is also associated with y. Therefore, X can be characterized not only exactly by Y but also naturally and flexibly by Y ¿ { y } for each secondary feature y. Our task is formalized as a problem of finding Top-N ¿-Valid ( ¿, ρ)-Pseudo Formal Concepts. The targets can be extracted based on clique search. We show several pruning and elimination rules are available in our search. A depth-first branch-and-bound algorithm with the rules is designed. Our experimental result shows that a pseudo FC with a natural conceptual meaning can be efficiently extracted.
Note: APN permutations on Zn and Costas arrays
Authors: Konstantinos Drakakis, Rod Gow, Gary McGuire
Venue: Discrete Applied Mathematics (2009)

We study PN and APN functions over the integers modulo n. We give some construction techniques based on Costas arrays, which allow us to construct APN permutations on Z"p"-"1 where p is a prime. Although PN permutations do not exist, one set of our functions is very close to being a set of PN permutations.
Prototyping Dialogues with Midiki: An Information State Update Dialogue Manager
Authors: Lúcio M. Quintal, Paulo N. Sampaio
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

The context of the work presented in this paper is related to the design of systems and interfaces which enable natural language interaction between a person and a machine, through the use of Dialogue Managers (DM). Any practical DM must incorporate a model of a dialogue for the domain or task being addressed. Unfortunately, there are few methodologies and tools that allow authors to carry out an intuitive and easy modelling of such dialogues. This paper presents the proposal and application of a methodology and a tool for the authoring of generic dialogues for the MIDIKI DM, illustrated by the development of a concrete model of a dialogue.
Semantic context and visual feature effects in object naming: An fmri study using arterial spin labeling
Authors: Julia Hocking, Katie L. McMahon, Greig I. de Zubicaray
Venue: Journal of Cognitive Neuroscience (2009)

Previous behavioral studies reported a robust effect of increased naming latencies when objects to be named were blocked within semantic category, compared to items blocked between category. This semantic context effect has been attributed to various mechanisms including inhibition or excitation of lexico-semantic representations and incremental learning of associations between semantic features and names, and is hypothesized to increase demands on verbal self-monitoring during speech production. Objects within categories also share many visual structural features, introducing a potential confound when interpreting the level at which the context effect might occur. Consistent with previous findings, we report a significant increase in response latencies when naming categorically related objects within blocks, an effect associated with increased perfusion fMRI signal bilaterally in the hippocampus and in the left middle to posterior superior temporal cortex. No perfusion changes were observed in the middle section of the left middle temporal cortex, a region associated with retrieval of lexical-semantic information in previous object naming studies. Although a manipulation of visual feature similarity did not influence naming latencies, we observed perfusion increases in the perirhinal cortex for naming objects with similar visual features that interacted with the semantic context in which objects were named. These results provide support for the view that the semantic context effect in object naming occurs due to an incremental learning mechanism, and involves increased demands on verbal self-monitoring.
Study of Signal Feature Recognition Method Based on Morlet Combined Wavelets
Authors: Guang Chen, Zhiliang Ren, Yaobo Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

For the reason that the traditional Hilbert transform method is not valid to recognize the feature parameters of the target signal in an active electromagnetic detection system under the condition of a high ambient noise level, based on the depiction of principle of envelope analysis and wavelet filtering, a new envelope demodulation method is put forward, which employs the complex Morlet combined wavelets. The method takes the advantage that the imaginary part of the combined wavelets is the Hilbert transform of its real part, so it can realize filtering and envelope demodulation only by one step. Moreover, by appropriately selecting wavelet parameters, a band pass filter with zero phase shift, flat topped pass-band and rapid attenuation in the transition band can be made, consequently, the accurate demodulation of signal can be realized under a low signal to noise radio condition. The simulation results of engineering application show that this method is efficient and affective for the feature recognition of the target signal in the above detection system, and has a good application prospect.
Waiting Time Sensitivities of Social and Random Graph Models
Authors: Dominik Dahlem, William Harrison
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

Large scale simulation studies, such as routing in communication systems, rely on complex networks. However, the specific network structure of the application domain is often neglected in analysing network behaviour with the consequence of limited ability to conduct a sensitivity analyses. Network evolution models have been developed to account for structural properties of social graphs, such as the Internet, and enable a model-based analysis on different scales. Despite some analytical results with respect to queueing metrics, little work has been done to frame network evolution models in the context of queuing systems. This paper addresses this issue discussing social and random network evolution models and their application to queueing systems. When the stability criterion holds, analytical solutions using Jackson's Theorem and Little's Law exist and provide valuable insights into a number of queueing performance metrics. Specifically, a sensitivity analysis of the mean total waiting time versus the utilisation is carried out which shows a significant difference between the social and random network models. Understanding the impact of the structural features of complex networks is important in the design of simulation studies and operating real world systems. This is especially true when adaptive algorithms are employed and insights of their performance compared to analytical scenarios are required.
QOS evaluations of distributed event orchestration system
Authors: Hiroshi Dempo
Venue: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (2009)

Researchers have been exploring various aspects of distributed event-based systems for distributed applications; namely protocols, semantics of events etc. However there has been little focus on QoS metrics that help determine whether such applications can cope up with domain requirements in which they are deployed. In this on-going work, we show our initial implementation of Distributed Event Orchestration System (DEOS) based on HERMES[2], and share our evaluation results for diversified conditions such as message sizes, throughput and work loads.
A Hierarchical Data Dissemination Protocol Using Probability-Based Clustering for Wireless Sensor Networks
Authors: Moonseong Kim, Matt W. Mutka, Hyunseung Choo
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

A major challenge for designing a dissemination protocol for Wireless Sensor Networks (WSNs) is energy efficiency. Recently, researchers have studied this issue, and SPMS, a representative protocol, outperforms the well-known protocol SPIN. One of the characteristics of SPMS uses the shortest path to minimize energy consumption. However, since it repeatedly uses the same shortest path, maximizing network lifetime is impossible, although it reduces the energy consumption. In this paper, we propose a Hierarchical data dissemination protocol using Probability-based clustering, called HiProc. It guarantees energy-efficient data transmission and maximizes network lifetime. HiProc solves the network lifetime problem by a novel probability function, which is related to the residual energy and the distance to a neighbor. The simulation results show that HiProc guarantees energy-efficient transmission and moreover increases the network lifetime by approximately 78% than that of SPMS.
The Research on a Patch Management System for Enterprise Vulnerability Update
Authors: Duanyang Zhao, S. M. Furnell, A. Al-Ayed
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Because of virus and worms which make use of vulnerability of computer systems, computer software is getting in trouble increasingly. Although there are opportunities to defend these attacks at an earlier stage, people undergo several serious disturbances because many administrators and users didn't realize the essentiality of the patch management. The paper designs and implements a patch management system for vulnerability precaution protection which can efficiently repair vulnerabilities of computer systems in time. Developing a vulnerability management system needs two steps: constructing a vulnerability analysis database and implementing vulnerability management system (VMS) application software. The vulnerability analysis database is constructed based on CVE, Microsoft and others to report vulnerabilities in standard result forms by updating newest information, and is organized to be suitable to the distributed enterprise network. The VMS suggested in this paper can provide fast and more accurate vulnerability repair and proper guidelines to corresponding vulnerabilities.
Product Lifecycle-Oriented Virtual Design Method
Authors: Jun Li, Ai-ping Li, Xian-guang Luo, Xue-mei Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Application of digital technique has become very universal in product development. Along with competitive intensification of the market, it is needed urgently that enterprises must develop new design method to improve quality and reduce design lifecycle and cost of product. Supported by the actual project, the product lifecycle-oriented virtual design method has been well investigated.. In the design of single and large-scale embark machine, with the applications of multi-body kinematics and dynamics simulation, digital preassembly and function simulation based on Virtual Reality technology, actual running process of product have been proof-tested before manufacturing of physical prototype, and it is possible for producers and users to participate in the design process of product. As the result of simulation, logical and correct sequence of assembly process has been designed by producer, combining the mechanism movement with environment and reasonable sequence of lading process has been validated by equipment operators. So the design mistakes have been avoided furthest, and product design quality and efficiency can be improved greatly. Finally, the thesis indicates the main problem of the research and issues needed further research.
Foundation Blender Compositing, 1st edition
Authors: Roger Wickes
Venue:  (2009)

Anyone who uses Blender needs this book. Blender users know that it can be used for modeling, animation, and rendering, but it can also be used as a fully functional compositing and post-production application. This book explores Blender's use as a compositing and post-production tool in the video and film production pipeline. In this book, you will learn how to: Create and apply masks and special effects in Blender Composite images using Blender's Node-based Compositor Sequence and overlay video and audio using Blender's Non-Linear Editor What you'll learn This book provides concise yet step-by-step examples on using all of the power of Blender to provide a complete post-production workbench. Specifically, this book shows you how to: Create Masks and Rotoscope video Texture mattes and video planes Composite any image or render with other images Introduce special effects, such as blur, smoke, and light. Add titles and text, mixes, fades, wipes and splices Remove Green Screen and composite CG with live action shots Assemble all the shots and audio into a completed movie Who is this book for? Film and video professionals and enthusiasts interested in an open source alternative to commercial compositing and video effects software like AfterEffects, Fusion, and Shake.
Influence of Real-World Ten-Pin Bowling Experience on Performance during First-Time Nintendo Wii Bowling Practice
Authors: Kirsten A. Peters
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

In order to understand if proficiency in a real-world activity influences performance or movement characteristics in a simulation of that activity, six expert real-world ten-pin bowlers, ten novice real-world ten-pin bowlers and eight expert Wii bowlers completed 3 games of Nintendo Wii Sports' bowling game. Two values were recorded for each throw: the (score) and the total range of motion (ROM) for the participant's throwing arm (using two-dimensional motion capture). Averages across the first five trials were compared to averages across the last five trials. From the first five to last five trials, there were significant increases in both the mean score and mean ROM values, when collapsing data across experience level. While there was a significant main effect of experience level on the overall ROM values, differences between each experience group's ROM values were not detected. A larger sample size is necessary to confirm if real-world ten-pin bowling experience influences score and ROM during first-time Wii bowling.
Faster MT decoding through pervasive laziness
Authors: Michael Pust, Kevin Knight
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)

Syntax-based MT systems have proven effective---the models are compelling and show good room for improvement. However, decoding involves a slow search. We present a new lazy-search method that obtains significant speedups over a strong baseline, with no loss in Bleu.
Conflict Resolution Method for Multi-context Situation
Authors: Keonsoo Lee, Minkoo Kim
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)

In ubiquitous environment, each agent tires to aware the context. Usually, the context which agent tries to recognize, consists of different information. Even if several agents are in the same environment, each agent's contexts are different. As every agent has different intention in the process of interaction with the environment, the view of each agent to the environment is different from others' view. This difference in awareness of each agent can cause the conflict. As every agent behaves based on its own context, an agent's action can interrupt other agent's action. In this paper, we propose a novel solution for conflict management where several agents exist with different views for one situation. In this solution, two middleware agents are employed. One is the conflict manager which overlooks the whole situation and decides whether the requests of agents lead to the collision with existing requests. The other is the scheduler which selects which request should be performed according to the priority. With these middleware agents, the conflict can be effectively resolved by maximizing the usage of resources and minimizing the cancellation of requests.
Towards building a competitive opinion summarization system: challenges and keys
Authors: Elena Lloret, Alexandra Balahur, Manuel Palomar, Andrés Montoyo
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium (2009)

This paper presents an overview of our participation in the TAC 2008 Opinion Pilot Summarization task, as well as the proposed and evaluated post-competition improvements. We first describe our opinion summarization system and the results obtained. Further on, we identify the system's weak points and suggest several improvements, focused both on information content, as well as linguistic and readability aspects. We obtain encouraging results, especially as far as F-measure is concerned, outperforming the competition results by approximately 80%.
A Folk Song Retrieval System with a Gesture-Based Interface
Authors: Attila Licsar, Tamàs Sziranyi, Làszlò Kovacs, Balàzs Pataki
Venue: IEEE MultiMedia (2009)

This article describes how a folk song retrieval system uses a gesture-based interface to recognize Kod&#x00E1;ly hand signs and formulate search queries.