ppxscal/embedding_network huggingface dataset:
Dspace: Real-Time 3D Visualization System for Spacecraft Dynamics Simulation
Authors: Marc I. Pomerantz, Abhinandan Jain, Steven Myint
Venue: Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (2009)

The multi-mission Dshell++ simulation framework has formed the basis for high-performance, physics-based simulations for a large variety of space mission simulations including cruise and orbiter spacecraft, Entry, Descent, Landing (EDL) missions as well as for planetary surface rovers. The Dspace interactive, reusable 3D visualization system has been developed to support the diverse visualization needs of such complex real-time simulations
Semantic Analytical Reports: A Framework for Post-processing Data Mining Results
Authors: Tomáš Kliegr, Martin Ralbovský, Vojtěch Svátek, Milan Šimůnek, Vojtěch Jirkovský, Jan Nemrava, Jan Zemánek
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Intelligent post-processing of data mining results can provide valuable knowledge. In this paper we present the first systematic solution to post-processing that is based on semantic web technologies. The framework input is constituted by PMML and description of background knowledge. Using the Topic Maps formalism, a generic Data Mining ontology and Association Rule Mining ontology were designed. Through combination of a content management system and a semantic knowledge base, the analyst can enter new pieces of information or interlink existing ones. The information is accessible either via semi-automatically authored textual analytical reports or via semantic querying. A prototype implementation of the framework for generalized association rules is demonstrated on the PKDD'99 Financial Data Set.
Geomorphometric features and tectonic activities in sub-Himalayan thrust belt, Pakistan, from satellite data
Authors: Lize Chen, Shuhab D. Khan
Venue: Computers Geosciences (2009)

The sub-Himalayan thrust belt is an active thrust wedge which progresses southward over the north-dipping Indian plate. The north-south compression resulted in severe deformation of sedimentary rocks in this belt. Distinct thrust geometries and topography have evolved under the interaction between tectonic and erosional environments. To better understand the relationship between tectonics and topography, A Digital Elevation Model (DEM) derived from Shuttle Radar Topography Mission (SRTM) data was used to extract the geomorphic and drainage features. Based on comprehensive analyses of topographic relief, drainage density, and drainage patterns, nine topographic units were identified. The thrust wedge was divided into three physiographic assemblages with apparent lateral variations. These units match up with the interpreted main structures from the Landsat Enhanced Thematic Mapper Plus (ETM+) images and published geological maps. The relationship between geomorphometric features and tectonics indicates that structural activities primarily control the topography in the sub-Himalayan thrust belt. Topographic features are indicative of tectonics in the young tectonic regions with low elevation.
Diagnosing terminologies
Authors: Stefan Schlobach
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

We present a framework for the debugging of logically contradicting terminologies, which is based on traditional model-based diagnosis. To study the feasibility of this highly general approach we prototypically implemented the hitting set algorithm presented in (Reiter 1987), and applied it in three different scenarios. First, we use a Description Logic reasoning system as a black-box to determine (necessarily maximal) conflict sets. Then we use our own non-optimized DL reasoning engine to produce small, and a specialized algorithm to determine minimal conflict sets. In a number of expenments we show that the first method already fails for relatively small terminologies. However, based on small, or minimal conflict sets, we can often calculate diagnoses in reasonable time.
Biomimetic Eye-Neck Coordination
Authors: Manuel Lopes, Alexandre Bernardino, Jose Santos-Victor, Kerstin Rosander, Claes von Hofsten
Venue: Proceedings of the 2009 IEEE 8th International Conference on Development and Learning (2009)

We describe a method for coordinating eye and neck motions in the control of a humanoid robotic head. Based on the characteristics of human oculomotor behavior, we formulate the target tracking problem in a state-space control framework and show that suitable controller gains can be either manually tuned with optimal control techniques or learned from bio-mechanical data recorded from newborns subjects. The basic controller relies on eye-neck proprioceptive feedback. In biological systems, vestibular signals and target prediction compensate for external motions and allow target tracking with low lag. We provide ways to integrate inertial and prediction signals in the basic control architecture, whenever these are available. We demonstrate the ability of the method in replicating the behavior of subjects with different ages and show results obtained through a real-time implementation in a humanoid platform.
Learning to predict code-switching points
Authors: Thamar Solorio, Yang Liu
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech recognition systems and syntactic analyzers. We present in this paper exploratory results on learning to predict potential code-switching points in Spanish-English. We trained different learning algorithms using a transcription of code-switched discourse. To evaluate the performance of the classifiers, we used two different criteria: 1) measuring precision, recall, and F-measure of the predictions against the reference in the transcription, and 2) rating the naturalness of artificially generated code-switched sentences. Average scores for the code-switched sentences generated by our machine learning approach were close to the scores of those generated by humans.
Weierstrass Function-based Uniform Random Number Generator
Authors: Hegui Zhu, Xiangde Zhang, Lianping Yang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

The effect of $a, b, x$ to the randomness of Weierstrass function: $\sum_{n=0}^\infty a^n\cos(b^n\pi x)$ is studied, then, a new Weierstrass Function-based random number generator (WFU-RNG) is designed, the random numbers uniformly distribute over the interval $[0,1]$. In order to guarantee WFU-RNG works well, auto-correlation function method and BDS test are utilized to verify there are no linear correlation and nonlinear correlation in WFU-RNG.Furthermore, the generated numbers are tested at a high lever of significance by NIST special publication 800-22 tests.All these discussions show that WFU-RNG not only extends possibilities of obtaining absolutely unpredictable random number automatically, but also provides random number in simple and portable way. Consequently, it can enhance security of the intelligent systems.
Study on Integrated and Controlling Management Information System of Construction Enterprise Groups
Authors: Qi Shenjun, Zheng Lanlan, Zhang Shengping, Ding Lieyun, Luo Hanbin, Ke Huahu
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

The construction engineering projects contracted by the construction enterprise groups are large, complex and dispersed in many zones; and there are many participators in it and coordination problems for it are prominent. Therefore, Integrated and Control Management Information System of Construction engineering project Enterprises Groups (ICMISCPEG) has being used increasingly. The concept of ICMISCPEG is firstly analyzed, and then its establishment is expounded from data planning and system framework designing. As a case of CCCC (China Communications Construction Company LTD) Second Harbour Engineering Company LTD is studied, approves that ICMISCPEG is an effective methods for the construction enterprises groups to decide, plan, implement and control coordinately.
A Sampling Algorithm for Mining Association Rules in Distributed Database
Authors: Shi Yue-mei, Hu Guo-hua
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

This paper introduces SMA, a sampling algorithm for mining association rules in distributed database. SMA adopts two-way sampling technique in every website and amalgamates those local samples into a sampling dataset. In an empirical study, SMA was able to accelerate the speed and improve the accuracy of mining association rules in distributed database.
Approximate Distributed K-Means Clustering over a Peer-to-Peer Network
Authors: Souptik Datta, Chris Giannella, Hillol Kargupta
Venue: IEEE Transactions on Knowledge and Data Engineering (2009)

Data intensive Peer-to-Peer (P2P) networks are finding increasing number of applications. Data mining in such P2P environments is a natural extension. However, common monolithic data mining architectures do not fit well in such environments since they typically require centralizing the distributed data which is usually not practical in a large P2P network. Distributed data mining algorithms that avoid large-scale synchronization or data centralization offer an alternate choice. This paper considers the distributed K-means clustering problem where the data and computing resources are distributed over a large P2P network. It offers two algorithms which produce an approximation of the result produced by the standard centralized K-means clustering algorithm. The first is designed to operate in a dynamic P2P network that can produce clusterings by “local” synchronization only. The second algorithm uses uniformly sampled peers and provides analytical guarantees regarding the accuracy of clustering on a P2P network. Empirical results show that both the algorithms demonstrate good performance compared to their centralized counterparts at the modest communication cost.
MLLR Transforms Based Speaker Recognition in Broadcast Streams
Authors: Jan Silovsky, Petr Cerva, Jindrich Zdansky
Venue: Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions: COST Action 2102 International Conference Prague, Czech Republic, October 15-18, 2008 Revised Selected and Invited Papers (2009)

This paper deals with utilization of maximum likelihood linear regression (MLLR) adaptation transforms for speaker recognition in broadcast news streams. This task is specific particularly for widely varying acoustic conditions, microphones, transmission channels, background noise and short duration of recordings (usually in the range from 5 to 15 seconds). MLLR transforms based features are modeled using support vector machines (SVM). Obtained results are compared with a GMM based system with traditional MFCC features. The paper also deals with inter-session variability compensation techniques suitable for both systems and emphases the importance of feature vector scaling for SVM based system.
Planning for human-robot interaction using time-state aggregated POMDPs
Authors: Frank Broz, Illah Nourbakhsh, Reid Simmons
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

In order to interact successfully in social situations, a robot must be able to observe others' actions and base its own behavior on its beliefs about their intentions. Many interactions take place in dynamic environments, and the outcomes of people's or the robot's actions may be time-dependent. In this paper, such interactions are modeled as a POMDP with a time index as part of the state, resulting in a fully Markov model with a potentially very large state space. The complexity of finding even an approximate solution often limits POMDP's practical applicability for large problems. This difficulty is addressed through the development of an algorithm for aggregating states in POMDPs with a time-indexed state space. States that represent the same physical configuration of the environment at different times are chosen to be combined using reward-based metrics, preserving the structure of the original model while producing a smaller model that is faster to solve. We demonstrate that solving the aggregated model produces a policy with performance comparable to the policy from the original model. The example domains used are a simulated elevator-riding task and a simulated driving task based on data collected from human drivers.
Parameter-Coupling Probability Hyper-Chaotic Newton Iterative Method and Its Application in Induction Motor Motion
Authors: Mingshan Cai, Nanlan Wang, Wenhu Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Many questions containing nonlinear factors in motor system are usually transformed into solution-finding of nonlinear equations. Newton iterative method is an important iterative technique for solving equations with the iteration process possessing sensitive dependence on initial guess point. For the first time, in this paper, a novel method of finding all solutions of nonlinear equations is put forward, in which the initial points generated by Parameter-Coupling Probability Hyper-Chaotic System are taken as chaotic sequences, and the probability characteristic of chaotic sequences is analyzed. A numerical example of multi-solution finding process of motor parameters shows that the new method proposed in this paper is correct and effective.
On the Relationship between Network Congestion and Local Contention in IEEE 802.15.4 Based Networks
Authors: Radosveta Sokullu
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

Due to the specific operation of wireless sensor networks (WSN) and especially to the multi-hop nature of many WSNs, local contention can lead to network-wide congestion and reduce both the efficiency and the lifetime of the network. In this paper we study the interdependence between end-to-end congestion and local contention including different mobility patterns using three different application scenarios. In each of the scenarios discussed, all nodes send information to a sink which is the PAN coordinator. In the first one, all the nodes are static, in the second one the sink is static while the nodes are moving and in the third one the sink is static while the rest of the nodes are mobile. The work is based on the slotted CSMA/CA MAC adopted in IEEE 802.15.4 protocol specification for LR-WPAN. Results show the effects of changing local contention regulating parameters like activity periods, number of MAC layer retransmissions and transmission buffer size on the overall network congestion. 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
Providing Relevant Background Information in Smart Environments
Authors: Berardina Carolis, Sebastiano Pizzutilo
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

In this paper we describe a system, called GAIN (Group Adapted Interaction for News), which selects background information to be displayed in public shared environments according to preferences of the group of people present in there. In ambient intelligence contexts, we cannot assume that the system will be able to know every users physically present in the environment and therefore to access to their profiles in order to compute the preferences of the entire group. For this reason, we assume that group members may be i) totally unknown, ii) completely or iii) partially known by the system. As we describe in the paper, in the first case, the system uses a group profile that is built statistically according to the results of a preliminary study. In the second case, the model of the group is created from the profiles of known users. In the third situation the group interests are modeled by integrating preferences of known members with a statistical prediction of the interests of unknown ones. Evaluation results proved that adapting news display to the group was more effective in matching the members' interests in all the three cases than the in the non-adaptive modality.
Wireless Data Glove for Gesture-Based Robotic Control
Authors: Nghia X. Tran, Hoa Phan, Vince V. Dinh, Jeffrey Ellen, Bryan Berg, Jason Lum, Eldridge Alcantara, Mike Bruch, Marion G. Ceruti, Charles Kao, Daniel Garcia, Sunny Fugate, Lorraine Duffy
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

A wireless data glove was developed to control a Talon robot. Sensors mounted on the glove send signals to a processing unit, worn on the user's forearm that translates hand postures into data. An RF transceiver, also mounted on the user, transmits the encoded signals representing the hand postures and dynamic gestures to the robot via RF link. Commands to control the robot's position, camera, claw, and arm include "activate mobility," "hold on," "point camera," and "grab object."
Introduction
Authors: Barbara Chapman, Bart Kienhuis, Eduard Ayguadé, François Bodin, Oscar Plata, Eric Stotzer
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

During the past few years, mainstream computing has rapidly embraced multicore architectures and there is now considerable research into the design of such systems and into all aspects of their utilization. In particular, much work is needed in order to improve their programmability. Limitations on the amount of memory, bandwidth constraints, multiple layers of parallelism and heterogeneous components all introduce new challenges for application development and execution. In recognition of the importance of this architectural shift, multi-core programming was added to the collection of Euro-Par topics this year. The focus of the topic covered general-purpose multi-core programming techniques, models and languages, as well as those for multi-core embedded systems, and included related work on compilers, run-time systems, and performance and scalability studies.
Developments of GNSS Radio Occultation for Sounding Atmosphere
Authors: Xiu-ping Wang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Compared to traditional radiosonde and radar probing, the Global Navigation Satellite System radio occultation (GNSS RO) is a powerful tool for atmospheric sounding, which have many traits such as no calibration, all-weather, almost uniform global coverage, high precision and vertical resolution. In this paper,investigative actuality which we make use of GNSS RO technique get atmosphere parameters like temperature, air pressure and humidity is introduced. At the same time, development direction of GNSS RO in the weather domain is put forward, undoubtedly, it will boost up use of GNSS RO technique for global climate.
MobiSpell: Educational Mobile Game Design and Development for Teaching Spelling to Young Children
Authors: Menelaos Bakopoulos, Sofia Tsekeridou
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

A 3D educational mobile game is designed and implemented with the aim to teach hard-to-spell words to young children exploiting their natural affinity towards games entertainment in order to increase the likelihood of useful knowledge acquisition while having fun. The educational game features a fighter plane style environment in which spelling is accomplished by shooting down letters. Incentives and motivation such as points and medals encourage learning and motivate children to develop skills. The J2ME Mobile 3D Graphics library is used with 3D models developed in 3DS MAX, and development taking place in Netbeans.
From closed to open to what?: an exploration on community innovation principles
Authors: Andrea Botero, Sami Vihavainen, Kimmo Karhu
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

This paper introduces a set of community innovation principles relevant for social media design. By drawing on the comparison between Closed and Open Innovation introduced by Chesbrough, we develop a set of hypotheses that explore the nature of community innovation practices and their related principles. Furthermore we test those principles against two real world cases.
Web-Based Distributed Certification System of Green Food
Authors: Wang Qiang, Yu Hua, Zhang Hui, Ma Xinming
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

The National Green Food certification is an important measure of food safety. Green Food certification system simplifies the whole certification process, improves the efficiency, and provides an easy access to data query based on Web GIS. And this system is a national platform for the regional analysis and management of green foods manufacturing. Using software engineering methods, the system processes is designed, the system framework is built, and the functions of Green Food application and examination are achieved.
Convex Partitions with 2-Edge Connected Dual Graphs
Authors: Marwan Al-Jubeh, Michael Hoffmann, Mashhood Ishaque, Diane L. Souvaine, Csaba D. Tóth
Venue: Proceedings of the 15th Annual International Conference on Computing and Combinatorics (2009)

It is shown that for every finite set of disjoint convex polygonal obstacles in the plane, with a total of n vertices, the free space around the obstacles can be partitioned into open convex cells whose dual graph (defined below) is 2-edge connected. Intuitively, every edge of the dual graph corresponds to a pair of adjacent cells that are both incident to the same vertex.Aichholzer et al. recently conjectured that given an even number of line-segment obstacles, one can construct a convex partition by successively extending the segments along their supporting lines such that the dual graph is the union of two edge-disjoint spanning trees. Here we present a counterexamples to this conjecture, with n disjoint line segments for any n ¿ 15, such that the dual graph of any convex partition constructed by this method has a bridge edge, and thus the dual graph cannot be partitioned into two spanning trees.
On the Use of Gaze Information and Saliency Maps for Measuring Perceptual Contrast
Authors: Gabriele Simone, Marius Pedersen, Jon Yngve Hardeberg, Ivar Farup
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

In this paper, we propose and discuss a novel approach for measuring perceived contrast. The proposed method comes from the modification of previous algorithms with a different local measure of contrast and with a parameterized way to recombine local contrast maps and color channels. We propose the idea of recombining the local contrast maps using gaze information, saliency maps and a gaze-attentive fixation finding engine as weighting parameters giving attention to regions that observers stare at, finding them important. Our experimental results show that contrast measures cannot be improved using different weighting maps as contrast is an intrinsic factor and it's judged by the global impression of the image.