ppxscal/embedding_network huggingface dataset:
Simultaneous placement and scheduling of sensors
Authors: Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

We consider the problem of monitoring spatial phenomena, such as road speeds on a highway, using wireless sensors with limited battery life. A central question is to decide where to locate these sensors to best predict the phenomenon at the unsensed locations. However, given the power constraints, we also need to determine when to selectively activate these sensors in order to maximize the performance while satisfying lifetime requirements. Traditionally, these two problems of sensor placement and scheduling have been considered separately from each other; one first decides where to place the sensors, and then when to activate them. In this paper, we present an efficient algorithm, ESPASS, that simultaneously optimizes the placement and the schedule. We prove that ESPASS provides a constant-factor approximation to the optimal solution of this NP-hard optimization problem. A salient feature of our approach is that it obtains “balanced” schedules that perform uniformly well over time, rather than only on average. We then extend the algorithm to allow for a smooth power-accuracy tradeoff. Our algorithm applies to complex settings where the sensing quality of a set of sensors is measured, e.g., in the improvement of prediction accuracy (more formally, to situations where the sensing quality function is submodular). We present extensive empirical studies on several sensing tasks, and our results show that simultaneously placing and scheduling gives drastically improved performance compared to separate placement and scheduling (e.g., a 33% improvement in network lifetime on the traffic prediction task).
The Study of Universal Logics Control and Its Comparison to Other Control Methods for Double-Order Inverted Pendulum
Authors: Li Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

A control model for the double-order inverted pendulum based on universal logics is proposed in this paper. And linear quadratic regulator, human-imitating controller and fuzzy logic controller for the double-order inverted pendulum are also designed and implanted. Based on the analyzing to the design features and control effects of all these four control methods, it is found that the inverted pendulum universal control system has good abilities of control accuracy, rapidity and stability. Because of its flexible control talent, the universal logic controller would be applied broadly in the future.
Wrapping VRXQuery with self-adaptive fuzzy capabilities
Authors: Keivan Kianmehr, Tansel Özyer, Mehmet Kaya, Reda Alhajj
Venue: Web Intelligence and Agent Systems (2009)

This paper addresses the development of a plug and run wrapper to incorporate fuzziness into VRXQuery, the querying facility of VIREX which is a user-friendly system for transforming and querying relational data as XML. Our basic argument is not to force the underlying XML data to incorporate fuzziness. Rather, fuzziness is smoothly supported in a novel plug and run manner via a wrapper. Either the user specifies the membership functions for the elements/attributes to be queried as fuzzy, or multi-objective genetic algorithm is used to automatically decide on and optimize the membership functions. As the database is dynamic and updates are very frequent, there is no guarantee that existing membership functions will continue to properly reflect the current database state; this is identified when the cluster homogeneity deviates by a threshold. For the former case, the user will receive a warning; and for the latter case, the system will automatically adjust the clustering and the membership functions. The interface of VIREX has been expanded to allow specifying queries with fuzziness. Then, queries expressed in VRXQuery empowered with fuzziness are translated into corresponding XQuery code, which is run on the underlying XML and the returned result is translated into a fuzzy representation; translation into SQL is also possible. The user is given the choice to display the result either as colored-text or in graphical format.
A Colorimetric Study of Spatial Uniformity in Projection Displays
Authors: Jean-Baptiste Thomas, Arne Magnus Bakke
Venue: Computational Color Imaging: Second International Workshop, CCIW 2009, Saint-Etienne, France, March 26-27, 2009. Revised Selected Papers (2009)

In this paper we investigate and study the color spatial uniformity of projectors. A common assumption is to consider that only the luminance is varying along the spatial dimension. We show that the chromaticity plays a significant role in the spatial color shift, and should not be disregarded, depending on the application. We base our conclusions on the measurements obtained from three projectors. Two methods are used to analyze the data, a conventional approach, and a new one which considers 3D gamut differences. The results show that the color gamut difference between two spatial coordinates within the same display can be larger than the difference observed between two projectors.
Combining Consistency and Confidentiality Requirements in First-Order Databases
Authors: Joachim Biskup, Lena Wiese
Venue: Proceedings of the 12th International Conference on Information Security (2009)

In a logical setting, consistency of a database instance with constraints is a fundamental requirement. We show how satisfaction of a set of constraints guarantees confidentiality of some information declared secret by a security policy --- albeit at the cost of some modified database entries. We identify a very general class of constraints for which this problem is effectively and in many cases efficiently solvable by means of an automatic procedure. A distance minimization ensures maximal availability of correct database entries.
Privacy in Georeferenced Context-Aware Services: A Survey
Authors: Daniele Riboni, Linda Pareschi, Claudio Bettini
Venue: Privacy in Location-Based Applications: Research Issues and Emerging Trends (2009)

Location based services (LBS) are a specific instance of a broader class of Internet services that are predicted to become popular in a near future: context-aware services. The privacy concerns that LBS have raised are likely to become even more serious when several context data, other than location and time, are sent to service providers as part of an Internet request. This paper provides a classification and a brief survey of the privacy preservation techniques that have been proposed for this type of services. After identifying the benefits and shortcomings of each class of techniques, the paper proposes a combined approach to achieve a more comprehensive solution for privacy preservation in georeferenced context-aware services.
Markov decision processes for control of a sensor network-based health monitoring system
Authors: Anand Panangadan, Syed Muhammad Ali, Ashit Talukder
Venue: Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3 (2005)

Optimal use of energy is a primary concern in fielddeployable sensor networks. Artificial intelligence algorithms offer the capability to improve the performance or sensor networks in dynamic environments by minimizing energy utilization while not compromising overall performance. However, they have been used only to a limited extent in sensor networks primarily due to their expensive computing requirements. We describe the use of Markov decision processes for the adaptive control of sensor sampling rates in a sensor network used for human health monitoring. The MDP controller is designed to gather optimal information about the patient's health while guaranteeing a minimum lifetime of the system. At every control step, the MDP controller varies the frequency at which the data is collected according to the criticality of the patient's health at that time. We present a stochastic model that is used to generate the optimal policy offline. In cases where a model of the observed process is not available a-priori. we descrihe a Q-learning technique to learn the control policy, by using a pre-existing master controller. Simulation results that illustrate the performance of the controller are presented.
The Empirical Study on Performance Evaluation of Knowledge Management Based on Information Entropy and Osculating Value
Authors: Jing Wang, Niu Gai Fang, Xianze Wang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

Performance evaluation of knowledge management, which is one of the most important factors of knowledge management, plays more and more crucial role in the process of the enterprise development. This paper analyzed the essenceof knowledge and knowledge management, discussed theconcept and characteristics of enterprise knowledge portal. On this basis, the article proposed an evaluation model of knowledge management performance based on the theory of information entropy and osculating value. Using information entropy to reduce the indices system, and then we can evaluate the performance of knowledge management with the osculating value. After empirical research, it had been proved that the model is effective and practical.
Experimental and Numerical Visualizations of Condensation Process in a Supersonic Ejector
Authors: T. Marynowski, P. Desevaux, Y. Mercadier
Venue: Journal of Visualization (2009)

The present study deals with the visualization of the droplet condensation phenomenon that can occur in ejectors powered by moist air. The condensation process is visualized through a numerical model of non-equilibrium condensation in high speed flows implemented by the present authors in a CFD code. The evolution of the region of condensation in the ejector with the primary stagnation pressure is examined both in the case without secondary flows and in the case with free entrainment of induced air. Laser tomography visualization is used to validate the computational results. The effects of some parameters such as the primary stagnation pressure and the humidity ratio in the primary and secondary air flows are also examined. Limitations of the present numerical model are discussed.
Motion Histogram Analysis Based Key Frame Extraction for Human Action/Activity Representation
Authors: Ling Shao, Ling Ji
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

Key frame extraction is an important technique in video summarization, browsing, searching, and understanding. In this paper, a novel algorithm for key frame extraction based on intra-frame and inter-frame motion histogram analysis is proposed. The extracted key frames contain complex motion and are salient in respect to their neighboring frames, and can be used to represent actions and activities in video. The key frames are first initialized by finding peaks in the curve of entropy calculated on motion histograms in each video frame. The peaked entropies are then weighted by inter-frame saliency which we use histogram intersection to output final key frames. The effectiveness of the proposed method is validated by a large variety of real-life videos.
A Goal-Driven Measurement Model for Software Testing Process
Authors: Cai-xia Meng
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In order to enhance the software quality, control and improve software testing process, the software testing process needs to be effectively measured. This paper presents a goal-driven measurement model for software testing process (MMSTP). Based on MMSTP, software organizations can deduce the appropriate measurement process according to the process goals they determine. At the same time, they also can get the direction of testing process, which will provide an effective support for make the correct decision to better the testing process.
Color Reproduction Using Riemann Normal Coordinates
Authors: Satoshi Ohshima, Rika Mochizuki, Jinhui Chao, Reiner Lenz
Venue: Computational Color Imaging: Second International Workshop, CCIW 2009, Saint-Etienne, France, March 26-27, 2009. Revised Selected Papers (2009)

In this paper we use tools from Riemann geometry to construct color reproduction methods that take into account the varying color perception properties of observers. We summarize the different steps in the processing: the estimation of the discrimination thresholds, the estimation of the Riemann metric, the construction of the metric-preserving or color-difference-preserving mapping and the usage of Semantic Differentiation (SD) techniques in the evaluation. We tested the method by measuring the discrimination data for 45 observers. We illustrate the geometric properties of the color spaces obtained and show the result of the metric-preserving maps between the color space of color-normal observers and a color-weak observer. We then apply the obtained maps to produce color corrected reproductions of two natural images.
Monotonicity of zeros of Laguerre polynomials
Authors: Dimitar K. Dimitrov, Fernando R. Rafaeli
Venue: Journal of Computational and Applied Mathematics (2009)

Denote by x"n"k(@a), k=1,...,n, the zeros of the Laguerre polynomial L"n^(^@a^)(x). We establish monotonicity with respect to the parameter @a of certain functions involving x"n"k(@a). As a consequence we obtain sharp upper bounds for the largest zero of L"n^(^@a^)(x).
Transmission of Acoustic Information of Percussion Instruments through Tactile Sensation Using Air-Jet Stimulation for Hearing Impaired Person
Authors: Tomokazu Furuya, Yuki Yanagisawa, Takahiro Tamesue, Kazunori Itoh
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)

We are trying to transfer acoustic information to hearing impaired persons through tactile sensation using air-jet stimuli. We focused on psychological tonal impressions given when hearing various sounds, and examined whether these impressions could be given by air-jet stimuli. In order to replace percussion sounds with air-jets, we connected the acoustic characteristics to the parameters of the air-jet stimuli. Relationships between the acoustic characteristics of percussion instruments and the physical characteristics of air-jets have been found by analysis of psychological impressions given when hearing percussion instrument sounds and perceiving air-jet stimuli. As a result, transmitting musical information was possible.
Nonlinear Characteristics of Rub-Impact Rotor-Bearing System with Slowly Varying Mass
Authors: Yuegang Luo, Yuanhu Du, Zhaohui Ren, Bangchun Wen
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

A nonlinear dynamic model of rub-impact rotor-bearing system with slowly varying mass was set up. The periodic solution of system was analyzed by continuation-shooting algorithm for periodic solution of nonlinear non-autonomous system, and the stability of system periodic motion and unsteady law are discussed by Floquet theory. There exist periodic, quasi-periodic and chaotic motions in the response of the rub-impact rotor-bearing system with slowly varying mass. The unstable form of it is saddle-node bifurcation. There are periodic-doubling bifurcation and saddle-node bifurcation at different rotate speed. In the region of double critical rotate speed, the main motion of the system is quasi-periodic motion. The conclusions provide theoretic basis reference for the fault diagnosis of the rotor-bearing system.
Assisting Data Mining through Automated Planning
Authors: Fernando Fernández, Daniel Borrajo, Susana Fernández, David Manzano
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (clustering, classification, regression, association), to evaluate the results using different approaches (cross validation, statistical analysis), to visualize the results, etc. In a real data mining process, previous actions are executed several times, sometimes in a loop, until an accurate result is obtained. However, performing previous tasks requires a data mining engineer or expert which supervises the design and evaluate the whole process. The goal of this paper is to describe MOLE, an architecture to automatize the data mining process. The architecture assumes that the data mining process can be seen from a classical planning perspective, and hence, that classical planning tools can be used to design the process. MOLE is built and instantiated on the basis of i) standard languages to describe the data set and the data mining process; ii) available tools to design, execute and evaluate the data mining processes.
DL-AgentRecom - A Multi-Agent Based Recommendation System for Scientific Documents
Authors: Horia-Emil Popa, Viorel Negru, Daniel Pop, Ionel Muscalagiu
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

The goal is to propose a recommendation system for scientific documents. The paper presents the architecture and theprinciples of functioning of the system. The way a user organizesits documents is called the user's perspective over the set ofdocuments. Operations with user perspectives are defined, also thesystem can have and build it's own perspective. The usersperspective can be mixed with system perspective.
Research on Three Dimensional Modeling and Track Parameters of WEDM of Closed Interface on the Ring with High Precision
Authors: Jingxiang Hu, Licheng Yang, Jiahong Yu, Dingqing Zhong
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

An optimum method is presented to obtain the track parameters of wire electrical-discharge machining (WEDM) of closed interface on the ring with high precision. Firstly, the three-dimensional model in WEDM motion space of the ring was obtained based on AutoCAD software and WEDM experiment. Seven track parameters were defined, and then the effects of the position size L1 of P1 space along the direction Z upon six other parameters were discussed in the paper. Finally, the constrained condition about the track parameters of wire electrical-discharge machining was analyzed and the relations between the track parameters and fit characteristics of the joint were studied. The results show that the six other track parameters change evidently, fit stability of the interface is reduced, and inosculation degree is increased when L1 increases from 10.27mm to 28.27mm for Φ105 ring. It is concluded that the optimum method and track parameters can be applied in the design and manufacture of ring under the condition of L1 limited from 16.16mm to 19.76mm.
Design of Remote Data Acquisition and Communication Hardware Circuit System Based on Windows
Authors: Anan Fang, Jianping Dai, Liping Luo
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

In order to complete the communication between PC and Single-chip microcomputer, people use different ways to achieve data exchange. For example, people use assembly language or C language under the DOS operating system. But there still exist many difficulties and shortcomings under the Windows environment to make communication come true. As windows operating system has already taken a dominant position, it becomes vital to achieve the data communication between PC and Single-chip microcomputer. This article describes a hardware circuit to achieve their communication. The designed circuit consists of upper PC (or IPC) and down SCM system. The whole circuit system is controlled by upper PC (or IPC).The down SCM acquires data and achieves A / D conversion, and then it connects with the upper PC through the RS485 and RS232 serial interface. In this way, the circuit forms a complete remote data collection and real-time control system. Practical operations demonstrate that the system can be performed stably and orderly, with a high efficiency. It solves many difficulties of the communication between PC and Single-chip microcomputer.
Characterizing Cognitive Adaptability via Robust Automated Knowledge Capture
Authors: Robert G. Abbott, J. Chris Forsythe
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

Applications such as individually tailored training and behavior emulation call for cognitive models tailored to unique individuals on the basis of empirical data. While the study of individual differences has been a mainstay of psychology, a prevailing assumption in cognitive theory and related modeling has been that cognitive processes are largely invariant across individuals and across different conditions for an individual. Attention has focused on identifying a universally correct set of components and their interactions. At the same time, it is known that aptitudes for specific skills vary across individuals and different individuals will employ different strategies to perform the same task [3]. Moreover, individuals will perform tasks differently over time and under different conditions (e.g. Taylor et al, 2004). To reach their full potential, systems designed to augment cognitive performance must thus account for such between- and within-individual differences in cognitive processes. We propose that cognitive adaptability is a trait necessary to explain the inherently dynamic nature of cognitive processes as individuals adapt their available resources to ongoing circumstances. This does not imply a "blank slate;" humans are predisposed to process information in particular ways. Instead, we assert that given variation in the structure and functioning of the brain, there exists inherent flexibility that may be quantified and used to predict differences in cognitive performance between individuals and for a given individual over time. This paper presents an early report on research we are undertaking to discover the dynamics of cognitive adaptability, with emphasis on a task environment designed to evoke and quantify adaptation in controlled experiments.
A genetic algorithm-based approach for solving the resource-sharing and scheduling problem
Authors: Gaby Pinto, Inessa Ainbinder, Gad Rabinowitz
Venue: Computers and Industrial Engineering (2009)

We introduce a heuristic that is based on a unique genetic algorithm (GA) to solve the resource-sharing and scheduling problem (RSSP). This problem was previously formulated as a continuous-time mixed integer linear programming model and was solved optimally using a branch-and-bound (B&B) algorithm. The RSSP considers the use of a set of resources for the production of several products. Producing each product requires a set of operations with precedence relationships among them. Each operation can be performed using alternative modes which define the subset of the resources needed, and an operation may share different resources simultaneously. The problem is to select a single mode for each operation and accordingly to schedule the resources, while minimizing the makespan time. The GA we propose is based on a new encoding schema that adopts the structure of a DNA in nature. In our experiments we compared the effectiveness and runtime of our GA versus a B&B algorithm and two truncated B&B algorithms that we developed on a set of 118 problem instances. The results demonstrate that the GA solved all the problems (10 runs each), and reaches optimality in 75% of the runs, had an average deviation of less than 1% from the optimal makespan, and a runtime that was much less sensitive to the size of the problem instance.