ppxscal/embedding_network huggingface dataset:
Resource Schedule and Allocation of Production Line with Real-Time Data Streams
Authors: Jiapeng Qu, Hanchao Zhu, Haijun Hu, Xiaolong Zhang
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

This paper describes scheduling and allocating with the resource of production line in factory, and proposes a novel model of scheduling and allocating the resource of production line, which is based on real-time data steams. This model realizes the reasonable schedule and allocation by combining the real-time manufacturing schedule information of production, the status of the devices and analysis of all the management information. The practical application shows that the implemented system based on this model can effectively and efficiently dispatch and allocate the resource of production line.
Combining advanced learning technologies in an immigrant educational program
Authors: Ellen Schuurink, Maartje de Vries
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

This article describes an unconventional educational program for immigrants entering the Dutch society, in which e-learning, gaming techniques, classroom activities and an outdoor program have been combined to develop a blended program. The introduction of an integration exam for immigrants in the Netherlands lead to the creation of (digital) educational courses. A recent change in the key expected learning outcomes in the immigration education made it very relevant to begin using gaming technologies and virtual community techniques as part of the courseware. This article describes the development of a blended educational program for immigrants called TiN, with a special focus on the use of multimedia and technology enabled interaction possibilities in the courseware.
Using signals of human interest to enhance single-document summarization
Authors: Krysta M. Svore, Lucy Vanderwende, Christopher J. C. Burges
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

As the amount of information on the Web grows, the ability to retrieve relevant information quickly and easily is necessary. The combination of ample news sources on the Web, little time to browse news, and smaller mobile devices motivates the development of automatic highlight extraction from single news articles. Our system, NetSum, is the first system to produce highlights of an article and significantly outperform the baseline. Our approach uses novel information sources to exploit human interest for highlight extraction. In this paper, we briefly describe the novelties of NetSum, originally presented at EMNLP 2007, and embed our work in the AI context.
Constant ratio fixed-parameter approximation of the edge multicut problem
Authors: Dániel Marx, Igor Razgon
Venue: Information Processing Letters (2009)

The input of the Edge Multicut problem consists of an undirected graph G and pairs of terminals {s"1,t"1},...,{s"m,t"m}; the task is to remove a minimum set of edges such that s"i and t"i are disconnected for every 1=
From data to text in the Neonatal Intensive Care Unit: Using NLG technology for decision support and information management
Authors: Albert Gatt, François Portet, Ehud Reiter, Jim Hunter, Saad Mahamood, Wendy Moncur, Somayajulu Sripada
Venue: AI Communications (2009)

Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in various formats, making efficient processing of information by medical professionals difficult. Moreover, different stakeholders in the neonatal scenario, which include parents as well as staff occupying different roles, have different information requirements. This paper describes recent and ongoing work on building systems that automatically generate textual summaries of neonatal data. Our evaluation results show that the technology is viable and comparable in its effectiveness for decision support to existing presentation modalities. We discuss the lessons learned so far, as well as the major challenges involved in extending current technology to deal with a broader range of data types, and to improve the textual output in the form of more coherent summaries.
Alleviating Cold-Start Problem by Using Implicit Feedback
Authors: Lei Zhang, Xiang-Wu Meng, Jun-Liang Chen, Si-Cheng Xiong, Kun Duan
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Collaborative Filter (CF) methods supply favorably personalized predictions relying on adequate data from users. But the ratings, of new users or about new items are not always available and CF can't make a precise recommendation in this case. In our paper, we present our consideration on alleviating cold-start problem by using users' implicit feedback data, which is not the same as the traditional methods which focus completely on the sparse data. To exploit the significance of users' implicit feedback for alleviating cold-start problem, we present two independent strategies--the neural network-based M1 method and the collaboration-based M2 method, by which the significance of users' implicit feedback for cold-start recommendation has been preliminarily demonstrated.
Adaptive Fuzzy PID Control for Switched Reluctance Motor Direct Drive Servo Hydraulic Press
Authors: Jian-ming Zheng, Sheng-dun Zhao, Shu-guo Wei
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Aiming at the serious saturation and dead zone nonlinearity, time-variability and time lag existing in pump-controlled cylinder electro-hydraulic servo system droved by SRM (switched reluctance motor) directly, the fuzzy PID control method was applied to conduct the position servo control of hydraulic press slider. According to the influence rule that the PID parameters impact upon the response characteristic of electro-hydraulic servo system, the fuzzy self-tuning module that adjusted the PID parameters adaptively based on the error and change in error was designed. The simulation and experimental results of step response and curve tracking showed that this method could effectively raise the response speed and accuracy of pump-controlled cylinder system, reduced overshoot and steady-state errors, and had powerful ability of restraining external disturbance.
Dynamical behavior in a stage-structured differential-algebraic prey-predator model with discrete time delay and harvesting
Authors: Chao Liu, Qingling Zhang, Xue Zhang, Xiaodong Duan
Venue: Journal of Computational and Applied Mathematics (2009)

A differential-algebraic model system which considers a prey-predator system with stage structure for prey and harvest effort on predator is proposed. By using the differential-algebraic system theory and bifurcation theory, dynamic behavior of the proposed model system with and without discrete time delay is investigated. Local stability analysis of the model system without discrete time delay reveals that there is a phenomenon of singularity induced bifurcation due to variation of the economic interest of harvesting, and a state feedback controller is designed to stabilize the proposed model system at the interior equilibrium; Furthermore, local stability of the model system with discrete time delay is studied. It reveals that the discrete time delay has a destabilizing effect in the population dynamics, and a phenomenon of Hopf bifurcation occurs as the discrete time delay increases through a certain threshold. Finally, numerical simulations are carried out to show the consistency with theoretical analysis obtained in this paper.
Bionic Self-Learning of Two-Wheeled Robot Based on Skinner's Operant Conditioning
Authors: Hong-ge Ren, Xiao-gang Ruan, Xin-yuan Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Aiming at the movement balance problem of the two-wheeled robot, the operant conditioning theory of artificial cerebellar sensorimotor systems is used, and the theory adopts a learning mechanisms of Skinner’s operation conditioned based on the learning algorithm of recurrent neural network, through learning and training, the two-wheeled robot can obtain the skills of movement balance control like a robot or animal in the process of gradually forming, developing and improving by self-organization. The simulation results show that the Skinner’s operation conditioning has such a virtue of stronger self-learning ability and higher robustness.
Masked Ballot Voting for Receipt-Free Online Elections
Authors: Roland Wen, Richard Buckland
Venue: Proceedings of the 2nd International Conference on E-Voting and Identity (2009)

To prevent bribery and coercion attacks on voters, current online election schemes rely on strong physical assumptions during the election. We introduce Masked Ballot, an online voting scheme that mitigates these attacks while using a more practical assumption: untappable channels are available but only before the election. During the election voters cast ballots over completely public channels without relying on untappable channels, anonymous channels or trusted devices. Masked Ballot performs only the voting part of an election and is designed to integrate with counting schemes that compute the final election result.
An organizational file permission management system using the cellular data system
Authors: Toshio Kodama, Tosiyasu L. Kunii, Yoichi Seki
Venue: Proceedings of the 2009 International Database Engineering & Applications Symposium (2009)

In designing dynamic situations such as cyberworlds, we consider the Incrementally Modular Abstraction Hierarchy (IMAH) to be an appropriate mathematical background to model dynamically changing cyberworlds by descending from the most abstract homotopy level to the most specific view level, while retaining invariants. One of the distinctive features of IMAH is to define an adjunction space (an attaching space) level. Cyberspaces are then attached by an equivalence relation, where the attached areas of the spaces are equivalent. The cellular data system (CDS) we developed based on IMAH is equipped with an automatic attaching function defined on the adjunction space level, and in this paper we have applied the function to organizational file permission information management. The function helps a user to search for the data he/she wants from data storage attaching spaces automatically.
Generic Framework for Transforming Everyday Objects into Interactive Surfaces
Authors: Elena Mugellini, Omar Abou Khaled, Stéphane Pierroz, Stefano Carrino, Houda Chabbi Drissi
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

According to Mark Weiser, smart environments are physical worlds that are richly and invisibly interwoven with sensors, actuators, displays, and computational elements, embedded seamlessly in the everyday objects of our lives. At present however turn everyday objects into interactive ones is a very challenging issue and this limits their widespread diffusion. In order to address this issue we propose a framework to turn everyday objects, such as a table or a mirror, into interactive surfaces allowing to access and manipulate digital information. The framework integrates several interaction technologies such as electromagnetic, acoustic and optical one, supporting rapid prototype development. Two prototypes, an interactive table and an interactive tray, have been developed using the toolkit to validate the proposed approach.
A schema-based selective rendering framework
Authors: Alexandros Zotos, Katerina Mania, Nicholaos Mourkoussis
Venue: Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization (2009)

Perception principles have been incorporated into rendering algorithms in order to optimize rendering computation and produce photorealistic images from a human rather than a machine point of view. In order to economize on rendering computation, selective rendering guides high level of detail to specific regions of a synthetic scene and lower quality to the remaining scene, without compromising the level of information transmitted. Scene regions that have been rendered in low and high quality can be combined to form one complete scene. Such decisions are guided by predictive attention modeling, gaze or task-based information. We propose a novel selective rendering approach which is task and gaze-independent, simulating cognitive creation of spatial hypotheses. Scene objects are rendered in varying polygon quality according to how they are associated with the context (schema) of the scene. Experimental studies in synthetic scenes have revealed that consistent objects which are expected to be found in a scene can be rendered in lower quality without affecting information uptake. Exploiting such expectations, inconsistent items which are salient require a high level of rendering detail in order for them to be perceptually acknowledged. The contribution of this paper is an innovative x3D-based selective rendering framework based on memory schemas and implemented through metadata enrichment.
Web-Mediated Student Peer Group Assessment of Building Information Modelling Performance
Authors: Nick Evans, John Counsell
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

This paper describes an innovative development in the Cardiff School of Art and Design, whereby architectural design and technology students upload their 3D CAD based Building Information Models (BIM) in Industry Foundation Class (IFC) file format to a project website, for evaluation by their peers deploying automated code compliance model checking software, and receive feedback and commentary through the same website. The use of automated compliance checking software has already been found to accessibly and visibly demonstrate that a much wider range of useful information than the purely pictorial can be measured, calculated, and derived from the model once constructed. This begins to expose students to those forms of information, beyond simple communication between designer and constructor, that are likely to be needed in analyzing and delivering sustainable design and performance throughout the operational lifecycle of the building to its eventual demolition and re-cycle.
The Research of Hazardous Waste Management System in Guangdong Province Based on WebGIS
Authors: Fang Yuan, Xu Guanying
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

How to use the information technology to improve solid waste management has become a social hot issue of environment protection and resources protection. This paper chose Guangdong as the study area, discussed the construction goal of waste management system, and designed the waste information system based on WebGIS. The study would boost the solid waste management reform, and improve its management level and efficiency. It was helpful for other environmental management information system, and it could also be used as a good example in the national implementation.
Window Update Patterns in Stream Operators
Authors: Kostas Patroumpas, Timos Sellis
Venue: Proceedings of the 13th East European Conference on Advances in Databases and Information Systems (2009)

Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving ---yet restricted--- set of tuples and thus provide timely results. Among other typical variants, sliding windows are mostly employed in stream processing engines and several advanced techniques have been suggested for their incremental evaluation. In this paper, we set out to study the existence of monotonic-related semantics in windowing constructs towards a more efficient maintenance of their changing contents. We investigate update patterns observed in common window variants as well as their impact on windowed adaptations of typical operators (like selection, join or aggregation), offering more insight towards design and implementation of stream processing mechanisms. Finally, to demonstrate its significance, this framework is validated for several windowed operations against streaming datasets with simulations at diverse arrival rates and window sizes.
An adaptive source-channel coding with feedback for progressive transmission of medical images
Authors: Jen-Lung Lo, Saeid Sanei, Kianoush Nazarpour
Venue: International Journal of Telemedicine and Applications (2009)

A novel adaptive source-channel coding with feedback for progressive transmission of medical images is proposed here. In the source coding part, the transmission starts from the region of interest (RoI). The parity length in the channel code varies with respect to both the proximity of the image subblock to the RoI and the channel noise, which is iteratively estimated in the receiver. The overall transmitted data can be controlled by the user (clinician). In the case of medical data transmission, it is vital to keep the distortion level under control as inmost of the cases certain clinically important regions have to be transmitted without any visible error. The proposed system significantly reduces the transmission time and error. Moreover, the system is very user friendly since the selection of the RoI, its size, overall code rate, and a number of test features such as noise level can be set by the users in both ends. A MATLAB-based TCP/IP connection has been established to demonstrate the proposed interactive and adaptive progressive transmission system. The proposed system is simulated for both binary symmetric channel (BSC) and Rayleigh channel. The experimental results verify the effectiveness of the design.
The Application of Artificial Intelligence on the Influence of Probabilistic Theory
Authors: Yan-ming Qi, Han-long Cui, Qian-yi Li
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

In order to recent advances in interactive information and probabilistic communication synchronize, and achieved superblocks. Here, we show the development of operating systems, which embodies the theoretical principles of hardware and architecture. A framework was introduced for courseware, the characteristics of our framework, in relation to those of more infamous methodologies, it was more key. We validated that scheme and operating systems are often incompatible. Our efforts was concentrated on validating that journaling file systems can be made signed, authenticated, and optimal. In fact, the main contribution of our work is that we verified not only that the much-touted cacheable algorithm for the synthesis of online algorithms.
Dynamic Analysis and Force Calculation of Seafloor Mining Tool Based on the Heave Motion of Mining Support Vessel in the Launching Process
Authors: Xiaozhou Hu, Shaojun Liu, Bin Du, Yu Dai
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

In the present paper, a typical seafloor mining tool (SMT) is demonstrated. With considering the influence of ocean currents and ocean wave, the force analysis is carried out to SMT. There are five forces that effect SMT, they are as following: gravity, buoyancy, hydraulic drag force, tension of the riser and added mass forces. The results of force analysis strongly suggest that the added mass forces impose an important influence on heave motion of SMT. Thus the added mass effect is mainly investigated within potential flow theory. According to the analysis, added mass play an important role in the deployment of SMT, the effect of which cannot be omitted. A hydrodynamic model is developed to simulate the heave motion of SMT; Results of the simulation verify the correctness of the force analysis
Creating human-machine synergy in negotiation support systems: towards the pocket negotiator
Authors: Koen V. Hindriks, Catholijn M. Jonker
Venue: Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation (2008)

Negotiation is a complex emotional decision-making process aiming to reach an agreement to exchange goods or services. Although a daily activity, few people are effective negotiators. Existing support systems make a significant improvement if the negotiation space is well-understood, because computers can better cope with the computational complexity. However, the negotiation space can only be properly developed if the human parties jointly explore their interests. The inherent semantic problem and the emotional issues involved make that negotiation cannot be handled by artificial intelligence alone, and a human-machine collaborative system is required. This interest paper presents research goals, ideas, challenges and an approach towards creating the next generation of negotiation support systems.
ACARS Data Identification and Application in Aircraft Maintenance
Authors: Shuguang Sun
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Useful methods of Aircraft Communication Addressing and Reporting System (ACARS) downlink message identification and relevant application software are presented in this paper. Two methods are introduced for identification of different parts of the downlink message, one is fixed format method for the common parts and the other is modular format method for text field identification. Using these message identification methods, the airline maintenance base can get real time information of the aircraft and know its status in time, maintenance technicians monitor the engine and onboard avionics with the help of the fault detection software modules, find the fault components even when the aircraft still in air. This can reduce stopping time of maintenance and improve maintenance efficiency.
Crude Oil Price Forecasting with an Improved Model Based on Wavelet Transform and RBF Neural Network
Authors: Wu Qunli, Hao Ge, Cheng Xiaodong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

The fluctuation of oil price decides the security of energy and economics. So the crude oil price forecasting performs importantly. In the paper, we apply the improved model based on Wavelet Transform and Radial Basis Function (RBF) neural network to forecast the future oil price. Wavelet Transform decomposes the original price which is used as the output layer of RBF neural network and the parts of the decomposed are used as the input layer of neural network. The real data of Europe (UK) Brent Blend Spot Price FOB (Dollar per Barrel) showed by Energy Information Administration (Official Energy Statistics from the U.S. Government) is used as the word crude oil price, dating from January 1997 to October 2008. Finally, the model is proved acutely and feasibly.
Consistency Checking for Component Reuse in Open Systems
Authors: Peter Henderson, Matthew J. Henderson
Venue: Proceedings of the 11th International Conference on Software Reuse: Formal Foundations of Reuse and Domain Engineering (2009)

Large scale Open Systems are built from reusable components in such a way that enhanced system functionality can be deployed, quickly and effectively, simply by plugging in a few new or revised components. At the architectural level, when new variations of a system are being planned by (re)configuring reusable components, the architecture description can itself become very large and complex. Consequently, the opportunities for inconsistency abound. This paper describes a method of architecture description that allows a significant amount of consistency checking to be done throughout the process of developing a system architecture description. An architectural design tool is described that supports consistency checking. This tool is designed to support component reuse, incremental development and collaborative working, essential for developing the architecture description of large systems.