ppxscal/embedding_network huggingface dataset:
Sensors Model Student Self Concept in the Classroom
Authors: David G. Cooper, Ivon Arroyo, Beverly Park Woolf, Kasia Muldner, Winslow Burleson, Robert Christopherson
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

In this paper we explore findings from three experiments that use minimally invasive sensors with a web based geometry tutor to create a user model. Minimally invasive sensor technology is mature enough to equip classrooms of up to 25 students with four sensors at the same time while using a computer based intelligent tutoring system. The sensors, which are on each student's chair, mouse, monitor, and wrist, provide data about posture, movement, grip tension, arousal, and facially expressed mental states. This data may provide adaptive feedback to an intelligent tutoring system based on an individual student's affective states. The experiments show that when sensor data supplements a user model based on tutor logs, the model reflects a larger percentage of the students' self-concept than a user model based on the tutor logs alone. The models are further expanded to classify four ranges of emotional self-concept including frustration, interest, confidence, and excitement with over 78% accuracy. The emotional predictions are a first step for intelligent tutor systems to create sensor based personalized feedback for each student in a classroom environment. Bringing sensors to our children's schools addresses real problems of students' relationship to mathematics as they are learning the subject.
The effect factors of end-user task performance in a business environment: Focusing on computing competency
Authors: Chui Young Yoon
Venue: Computers in Human Behavior (2009)

An individual's computing capability has an effect on his performance of given tasks in a business environment that is heavily dependent on computing. Extracting factors affecting an individual's task performance is important research work as this research can lead to more efficient and effective performance of tasks. We present in this paper, based on our study, the effect factors of an individual's task performance based on his computing competency. We developed a theoretical model composed of four independent factors and two dependent factors to investigate the correlation between these factors and an end-user task performance. The 213 participants completed surveys of four domestic-Korean-based companies were analyzed by using structural equation modeling and a second-generation multivariate technique. The results indicated that these four independent factors had effects on end-user computing competency and that computing competency significantly affected a user's task performance. These findings contribute to research related to task performance and an expanded understanding of the factors that improve an end-user's task performance in terms of his or her computing competency.
Ice Thickness Precise Measurement System Based on Computer Vision
Authors: Ma Junqiang, Lui Songlin, Guo Jianxing, Wei Hua
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

The real-time measurement system is composed of two digital cameras, a computer, a coding scale control board and an illumination lamp-house. Digital cameras are set above the glass window of the wind tunnel and focused to the sensor part. Images of the growing ice will be transferred into the control computer continuously and be processed by the software. Horizontal direction extent of growing ice can be measured with one camera and three dimensions length measured with two cameras, which forms a stereo vision system. The ice thickness could be measured from each image, and then the icing speed can be obtained from the image sequence. Experiments show that the measurement accuracy of growing ice thickness can reach 0.1 millimeter in all direction with the developed system.
Water Right Trade Basing on Externality Elimination
Authors: Yan Dong, Xia Jun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The water right trade should consider externality (water quality degradation) elimination to maintain environment. The externality is evaluated using water quantity and quality model. Externality elimination follows with the principle that environmental requirement is satisfied with minimum pollution emission reduction. A case study is made in the midstream of Heihe River in Northwest China. The result shows that the districts having large pollution emission has to cut down their pollution emission to achieve extra water in the water market. It is helpful to sustainable development.
Mechanism Research on Previous Winter Tropical Western Pacific SST to Summer Extreme Precipitation Events of East China
Authors: Yang Jinhu, Jiang Zhihong
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Relationship were investigated between winter Pacific sea surface temperature (SST) and summer extreme precipitation events (EPE) of east China. Result suggests that the previous winter tropical western Pacific is a key region influences on the summer extreme precipitation events (EPE) over Northeast and the Jiangnan of China. If sea surface temperature anomalous (SSTA) happens there in the winter, then there is an anomalous meridional vertical circulation averaged over 105-1350E from winter to summer, producing anomaly in vertical motion in summer over the two parts of east China, as a result, anomalous summer extreme precipitation events (EPE) happens there.
Computational Aesthetics 2008: Automatically mimicking unique hand-drawn pencil lines
Authors: Zainab AlMeraj, Brian Wyvill, Tobias Isenberg, Amy A. Gooch, Richard Guy
Venue: Computers and Graphics (2009)

In applications such as architecture, early design sketches containing accurate line drawings often mislead the target audience. Approximate human-drawn sketches are typically accepted as a better way of demonstrating fundamental design concepts. To this end we have designed an algorithm that creates lines that perceptually resemble human-drawn lines. Our algorithm works directly with input point data and a physically based mathematical model of human arm movement. Our algorithm generates unique lines of arbitrary length given the end points of a line, without relying on a database of human-drawn lines. We found that an observational analysis obtained through various user studies of human lines made a bigger impact on the algorithm than a statistical analysis. Additional studies have shown that the algorithm produces lines that are perceptually indistinguishable from that of a hand-drawn straight pencil line. A further expansion to the system resulted in mimicked dashed lines.
Automatic Generation of P2P Mappings between Sources Schemas
Authors: Karima Toumani, Hélene Jaudoin, Michel Schneider
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

This paper deals with the problem of automatic generation of mappings between data sources schemas, by exploiting existing centralized mappings between sources schemas and a global ontology. We formalize this problem in the settings of description logics and we show that it can be reduced to a problem of rewriting queries using views. We identify two subproblems: the first one is equivalent to a well known problem of computing maximally contained rewritings while the second problem constitutes a new instance of the query rewriting problem in which the goal is to compute minimal rewritings that contain a given query. We distinguish two cases to solve this latter problem: (i) for languages closed under negation, the problem is reduced to the classic problem of rewriting queries using views, and (ii) for languages with the property of structural subsumption, a technique based on hypergraphs is proposed to solve it.
Net-Centric Communication and Control for a Heterogeneous Unmanned Aircraft System
Authors: Jack Elston, Eric W. Frew, Dale Lawrence, Peter Gray, Brian Argrow
Venue: Journal of Intelligent and Robotic Systems (2009)

This paper presents a net-centric communication, command, and control architecture for a heterogeneous unmanned aircraft system comprised of small and miniature unmanned aircraft. An integrated system was developed using a bottom-up design approach to reflect and enhance the interplay between networked communication and autonomous aircraft coordination. The advantages of the approach are demonstrated through a description of the unmanned system that resulted from using this design process. First, the hardware system is described, including both small and miniature unmanned aircraft along with their respective avionics systems. Second, a network architecture is described that seamlessly combines the miniature aircraft's IEEE 802.15.4 components with IEEE 802.11 (WiFi) components on the small aircraft. Integration of intravehicle communication and service discovery is also described. Third, a hierarchical control architecture is presented that uses the network architecture to coordinate the small and miniature aircraft at several layers in the control hierarchy. Hardware in the loop demonstrations are performed to validate the capabilities of the heterogeneous unmanned aircraft system.
Document Clustering with K-tree
Authors: Christopher M. Vries, Shlomo Geva
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

This paper describes the approach taken to the XML Mining track at INEX 2008 by a group at the Queensland University of Technology. We introduce the K-tree clustering algorithm in an Information Retrieval context by adapting it for document clustering. Many large scale problems exist in document clustering. K-tree scales well with large inputs due to its low complexity. It offers promising results both in terms of efficiency and quality. Document classification was completed using Support Vector Machines.
The Research of Perception Marketing System Model and Simulation Based on Systems Dynamics
Authors: Jingdong Chen, Long Cheng
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

The perception marketing system is the complex social economy system, the research of perception marketing needs to tap its intrinsic mechanism from systematic angle. This paper establishing the Systems Dynamics model of perception marketing system, to check relationship among the marketing opportunity analysis, the STP marketing strategy and the 4C marketing strategies combination from Systems Dynamic’s angle.Then analysised the influence of these factors to the revenue.Finally we proposed that the combined action of perception marketing each subsystem can greatly enhance the perception benefits to form exchange.
Distributing coalitional value calculations among cooperative agents
Authors: Talal Rahwan, Nicholas R. Jennings
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

The process of forming coalitions of software agents generally requires calculating a value for every possible coalition which indicates how beneficial that coalition would be if it was formed. Now, since the number of possible coalitions increases exponentially with the number of agents involved, having one agent calculate all the values is inefficient. Given this, we present a novel algorithm for distributing this calculation among agents in cooperative environments. Specifically, by using our algorithm, each agent is assigned some part of the calculation such that the agents' shares are exhaustive and disjoint. Moreover, the algorithm is decentralized, requires no communication between the agents, and has minimal memory requirements. To evaluate the effectiveness of our algorithm we compare it with the only other algorithm available in the literature (due to Shehory and Kraus). This shows that for the case of 25 agents, the distribution process of our algorithm took 0.00037% of the time, the values were calculated using 0.000006% of the memory, the calculation redundancy was reduced from 477826101 to 0, and the total number of bytes sent between the agents dropped from 674047872 to 0 (note that for larger numbers of agents, these improvements become exponentially better).
RACAI: meaning affinity models
Authors: Radu Ion, Dan Tufiş
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This article introduces an unsupervised word sense disambiguation algorithm that is inspired by the lexical attraction models of Yuret (1998). It is based on the assumption that the meanings of the words that form a sentence can be best assigned by constructing an interpretation of the whole sentence. This interpretation is facilitated by a dependency-like context specification of a content word within the sentence. Thus, finding the context words of a target word is a matter of finding a pseudo-syntactic dependency analysis of the sentence, called a linkage.
Preference aggregation with graphical utility models
Authors: Christophe Gonzales, Patrice Perny, Sergio Queiroz
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

This paper deals with preference representation and aggregation in the context of multiattribute utility theory. We consider a set of alternatives having a combinatorial structure. We assume that preferences are compactly represented by graphical utility models derived from generalized additive decomposable (GAI) utility functions. Such functions enable to model interactions between attributes while preserving some decomposability property. We address the problem of finding a compromise solution from several GAI utilities representing different points of view on the alternatives. This scheme can be applied both to multicriteria decision problems and to collective decision making problems over combinatorial domains. We propose a procedure using graphical models for the fast determination of a Pareto-optimal solution achieving a good compromise between the conflicting utilities. The procedure relies on a ranking algorithm enumerating solutions according to the sum of all the GAI utilities until a boundary condition is reached. Numerical experiments are provided to highlight the practical efficiency of our procedure.
Improvement of Chord Routing Algorithm
Authors: Biqing Wang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

The key in P2P network is to locate resources effectively.Chord is a kind of structured P2P network, but the routing table in Chord suffers serious information redundancy and it is not very efficient.Therefore, an improved Chord routing algorithm is proposed.On the premise of not increasing the length of routing table, repetitious entries are deleted and anticlockwise routing in the same amount are added.Simulation experiments show that the algorithm eliminates information redundancy, reduces the average lookup path length and gets higher efficiency so as to coordinates lookup efficiency and routing table length well.
A stratified approach for supporting high throughput event processing applications
Authors: Geetika T. Lakshmanan, Yuri G. Rabinovich, Opher Etzion
Venue: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (2009)

The quantity of events that a single application needs to process is constantly increasing. RFID related events have doubled within the past year and reached 4 trillion events per day, financial applications in large banks are processing 400 million events per day, and Massively Multiplayer Online (MMO) games are monitoring millions of events per second during peak periods. It is evident that scalability in event throughput is a major requirement for such applications. While the first generation of event processing systems is centralized, we see various solutions that attempt to use both scale-up and scale-out techniques. Alas, partitioning of the processing manually is difficult due to the semantic dependencies among event processing agents. It is also difficult to manually tune up the partition dynamically. This paper proposes a horizontal partition that is automatically created by analyzing the semantic dependencies among agents using a stratification principle. Each stratum contains a collection of independent agents, and events are routed to subsequent strata. We also implement a profiling-based technique for assigning agents to nodes in each stratum with the goal of maximizing throughput. A complementary step is to distribute load among different execution nodes dynamically based on their performance characteristics and the event traffic model. Experimental results show significant improvement in the ability to process high throughput of events relative to both centralized solutions as well as vertical partitions. We find this to be a promising approach to achieve high scalability particularly when the traffic model and network topology change frequently.
Emotional Smart Materials
Authors: Akira Wakita, Midori Shibutani, Kohei Tsuji
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

To build affective and emotional interaction, we pay attention to materials of interface. We introduce two non-emissive displays as examples showing our concept. Fabcell is a fabric pixel that changes its color with non-emissive manner. Matrix arrangement of Fabcell enables information display with fabric texture. Jello Display is composed of gel blocks with moisture, coldness and softness. The unique look and feel enables organic information display. These kinds of haptic and organic information displays have ability adding rich affectivity to the artifacts used in our everyday life.
A New Dynamic Edge Detection toward Better Human-Robot Interaction
Authors: Abdul Rahman Hafiz, Fady Alnajjar, Kazuyuki Murase
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

Robot's vision plays a significant role in human-robot interaction, e.g., face recognition, expression understanding, motion tracking, etc. Building a strong vision system for the robot, therefore, is one of the fundamental issues behind the success of such an interaction. Edge detection, which is known as the basic units for measuring the strength of any vision system, has recently been taken attention from many groups of robotic researchers. Most of the reported works surrounding this issue have been based on designing a static mask, which sequentially move through the pixels in the image to extract edges. Despite the success of these works, such statically could restrict the model's performance in some domains. Designing a dynamic mask by the inspiration from the basic principle of "retina", and which supported by a unique distribution of photoreceptor, therefore, could overcome this problem. A human-like robot (RobovieR-2) has been used to examine the validity of the proposed model. The experimental results show the validity of the model, and it is ability to offer a number of advantages to the robot, such as: accurate edge detection and better attention to the front user, which is a step towards human-robot interaction.
Technology Scorecards: Aligning IT Investments with Business Performance
Authors: Sam Bansal
Venue:  (2009)

Plan, execute, and sustain a successful IT campaign with Sam Bansal's perfect scorecard approach First came the dot.com bust, then the IT squeeze. Despite software being the tail that wags the dog in most corporations, the cham-pions of IT, the CIOs, are constantly under fire to justify and maximize their IT investmentspast, present, and future. Learn how to establish Key Performance Indicators and Value Scorecards for IT to ensure maximum value in your corporation with the step-by-step approach found in Sam Bansal's Technology Scorecards. Drawing on Dr. Bansal's over forty years of field experience in the management of large and complex projects, Technology Scorecards shows you how to: Create Scorecards geared towards your organization's business goals Make quantum improvements in cost, value, and productivity using KPIs and Scorecards Increase your company's net by as much as 100% just by improving your supply chain management by 50% Impact your top line the most through product life-cycle management Develop a realistic strategy through Scorecards, which can then be used to drive IT investments that maximize your business performance Enhance profitability. Streamline strategy execution. Lower costs. Learn how to align your IT plans with your business objectives and optimize your company's overall performance with the perfect scorecard approach found in Technology Scorecards. 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
A Fast Method for Discovering Vehicle License Plate From Image with Complicated Background
Authors: Fenglin Guo, Shu-an Guan
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

The paper proposed a fast method on discovering vehicle license plate position in image with very complicated background and bad shooting condition. Firstly, we deduced a new RGB threshold formula by limiting the hue change range. Secondly, we provided a fast method to detect license plate position according to the characteristics of colors of license plate. Finally, we performed a detection experiment with 416 images containing license plate and the result showed that almost all license plates could be discovered quickly with our method from the images with even quit complicated background.
ASKNet: automated semantic knowledge network
Authors: Brian Harrington, Stephen Clark
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

The ASKNet system is an attempt to automatically generate large scale semantic knowledge networks from natural language text. State-of-the-art language processing tools, including parsers and semantic analysers, are used to turn input sentences into fragments of semantic network. These network fragments are combined using spreading activation-based algorithms which utilise both lexical and semantic information. The emphasis of the system is on wide-coverage and speed of construction. In this paper we show how a network consisting of over 1.5 million nodes and 3.5 million edges, more than twice as large as any network currently available, can be created in less than 3 days. We believe that the methods proposed here will enable the construction of semantic networks on a scale never seen before, and in doing so reduce the knowledge acquisition bottleneck for AI.
Multi-media e-Learning Platform Using Green Design with Near-Real Approach
Authors: Yuan-Hsun Liao, Chia-Ming Liu, Bo-Yen Wang, Ming-Hsiang Su, Xiaso-Hui Lee, Pao-Ta Yu
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

The most of e-Learning and video conference platform receives the limitation of population and the file format, the inconvenience to the users, and requirement of specific software. This paper proposes an effective method and the solution for this problem. The solution uses well-known multimedia stream format and uses green design concept with near real approach. The limitation of extra software installations, the limitation of user licensees and the limitation of location will be solved with this design.