ppxscal/embedding_network huggingface dataset:
Modeling and Analysis of Equipment Virtual Maintenance Process Based on Extended Petri Net
Authors: He Jianbin, Su Qunxing, Liu Pengyuan
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

The maintenance process model is a basic component for the virtual maintainability analysis and maintenance training. An extended Petri net was proposed in the modeling of equipment's maintenance task process. The expressions of the maintenance tasks relations and maintenance resources are discussed; the maintenance resource object token is proposed to enhance the description capability of the model, and the conditions of firing are defined. Finally, the feasibility of this model was demonstrated by a case of a typical maintenance process.
View-Based Approaches to Spatial Representation in Human Vision
Authors: Andrew Glennerster, Miles E. Hansard, Andrew W. Fitzgibbon
Venue: Statistical and Geometrical Approaches to Visual Motion Analysis: International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers (2009)

In an immersive virtual environment, observers fail to notice the expansion of a room around them and consequently make gross errors when comparing the size of objects. This result is difficult to explain if the visual system continuously generates a 3-D model of the scene based on known baseline information from interocular separation or proprioception as the observer walks. An alternative is that observers use view-based methods to guide their actions and to represent the spatial layout of the scene. In this case, they may have an expectation of the images they will receive but be insensitive to the rate at which images arrive as they walk. We describe the way in which the eye movement strategy of animals simplifies motion processing if their goal is to move towards a desired image and discuss dorsal and ventral stream processing of moving images in that context. Although many questions about view-based approaches to scene representation remain unanswered, the solutions are likely to be highly relevant to understanding biological 3-D vision.
Modelling Screening Mammography Images: A Probabilistic Relational Approach
Authors: Nivea Ferreira, Peter J. Lucas
Venue: Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine (2009)

Computer-aided detection systems have as aim the increase of detection rates when analysing mammograms, by identifying features that are characteristic for breast cancer. In this research we aimed at using the features extracted from mammographic images in order to analyse the development of suspicious lesions. Different from other approaches, we based our data modelling on object orientation. This allowed not only for a description of domain entities and their intrinsic relationships, but also for the application of relational probabilistic techniques, which can handle heterogeneous data instances both in terms of learning and inference.
Using UML to Model EAE and Its Regulatory Network
Authors: Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar
Venue: Proceedings of the 8th International Conference on Artificial Immune Systems (2009)

Experimental Autoimmune Encephalomyelitis (EAE) is an autoimmune disease in mice which serves as a model for multiple sclerosis in humans [4,5]. The disease constitutes the direction of immunity towards myelin, an insulatory material that covers neurons. The consequential damage to the central nervous system (CNS) can lead to paralysis and death [6].
Context-dependent alignment models for statistical machine translation
Authors: Jamie Brunning, Adrià de Gispert, William Byrne
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

We introduce alignment models for Machine Translation that take into account the context of a source word when determining its translation. Since the use of these contexts alone causes data sparsity problems, we develop a decision tree algorithm for clustering the contexts based on optimisation of the EM auxiliary function. We show that our context-dependent models lead to an improvement in alignment quality, and an increase in translation quality when the alignments are used in Arabic-English and Chinese-English translation.
Emotionally Adapted Games --- An Example of a First Person Shooter
Authors: Timo Saari, Marko Turpeinen, Kai Kuikkaniemi, Ilkka Kosunen, Niklas Ravaja
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

This paper discusses a specific customization technology --- Psychological Customization - which enables the customization of information presented on a computer-based system in real-time and its application to manipulating emotions when playing computer games. The possibilities of customizing different elements of games to manipulate emotions are presented and a definition of emotionally adaptive games is given. A psychophysiologically adaptive game is discussed as an example of emotionally adapted games.
Search result re-ranking by feedback control adjustment for time-sensitive query
Authors: Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-yun Nie
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

We propose a new method to rank a special category of time-sensitive queries that are year qualified. The method adjusts the retrieval scores of a base ranking function according to time-stamps of web documents so that the freshest documents are ranked higher. Our method, which is based on feedback control theory, uses ranking errors to adjust the search engine behavior. For this purpose, we use a simple but effective method to extract year qualified queries by mining query logs and a time-stamp recognition method that considers titles and urls of web documents. Our method was tested on a commercial search engine. The experiments show that our approach can significantly improve relevance ranking for year qualified queries even if all the existing methods for comparison failed.
Advanced runtime adaptation for Java
Authors: Alex Villazón, Walter Binder, Danilo Ansaloni, Philippe Moret
Venue: Proceedings of the eighth international conference on Generative programming and component engineering (2009)

Dynamic aspect-oriented programming (AOP) enables runtime adaptation of aspects, which is important for building sophisticated, aspect-based software engineering tools, such as adaptive profilers or debuggers that dynamically modify instrumentation code in response to user interactions. Today, many AOP frameworks for Java, notably AspectJ, focus on aspect weaving at compile-time or at load-time, and offer only limited support for aspect adaptation and reweaving at runtime. In this paper, we introduce HotWave, an AOP framework based on AspectJ for standard Java Virtual Machines (JVMs). HotWave supports dynamic (re)weaving of previously loaded classes, and it ensures that all classes loaded in a JVM can be (re)woven, including the classes of the standard Java class library. HotWave features a novel mechanism for inter-advice communication, enabling efficient data passing between advices that are woven into the same method. We explain HotWave's programming model and discuss our implementation techniques. As case study, we present an adaptive, aspect-based profiler that leverages HotWave's distinguishing features.
Optimization of Data Mining in CRM Based on Rough Set Theory
Authors: Jiang Hua, Cui Zhenxing
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Based on the important theory of customer relationship management, this paper integrates the Data Mining technology into the implement of customer relationship management system, so that the system could provide a more formidable service for users in data analysis and decision-making to improve the usability of system. In the Data Mining technology, Rough Set Theory is introduced. At present, knowledge reduction and decision rule mining in decision are the research hotspots. The significance of condition attribute for decision is defined by decision attribute support degree. With heuristic information, minimal decision rule acquirement based on Rough Set Theory is researched. Finally, an example is used to verify the effectiveness and feasibility of this method.
Distributed rate control algorithm for VANETs (DRCV)
Authors: Michele Drigo, Wenhui Zhang, Roberto Baldessari, Long Le, Andreas Festag, Michele Zorzi
Venue: Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking (2009)

This paper presents Distributed Rate Control for VANETs (DRCV), a distributed light-weight congestion control algorithm tailored for safety messages. DRCV monitors and estimates channel load and controls the packet rate of outgoing periodic packets. A new approach called Fast Drop is adopted to promptly drop the rate of periodic packets when event-driven safety packets are detected. Simulations show the effectiveness of DRCV in increasing packet reception probabilities and achieving efficient channel usage.
Fuzzy Logic Control of Integrated Hydraulic Actuator Unit Using High Speed Switch Valves
Authors: Liu Jianxin, Tan Ping
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

This paper presents a kind of all-digital integrated hydraulic actuator unit to drive heavy load object without centralized oil tank. In order to improve the control quality of the actuation system while eliminating or reducing the disturbance, a fuzzy PWM controller is suggested. Simulations on the integrated hydraulic actuator unit are carried out to evaluate the effectiveness of the proposed control method when applied to hydraulic systems with various external disturbances encountered in real working conditions. Simulation results are discussed and some conclusions are given.
Integrating Markets to Bridge Supply and Demand for Knowledge Intensive Tasks
Authors: Sietse Overbeek, Marijn Janssen, Patrick Bommel
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

The advent of the knowledge-based economy has underlined the importance of intellectual capital that is possessed by knowledge intensive organizations. Three general observations of knowledge intensive work produced by actors working in such organizations served as the basis for the initiation of this research. First, knowledge intensive tasks become increasingly complex. Second, actors that perform such tasks experience an increase in cognitive load. Third, the desired quality of task performance and the produced task results are at stake due to the aforementioned two developments. In this research we investigate how supply and demand of intangible assets such as knowledge, cognitive characteristics, and quality factors can be matched based on market mechanisms.
The Video Streaming Monitoring in the Next Generation Networks
Authors: A. Paramonov, D. Tarasov, A. Koucheryavy
Venue: Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces (2009)

The Next Generation Network (NGN) Monitoring System (NMS) is considered. One of the most important problem in the NMS creation is the video streaming monitoring. The IPTV traffic monitoring features are researching at the paper. The self --- of similar traffic characteristics, Hurst parameter estimation methods, inverse wavelet transform and multifractal wavelet model (MWM), ONOFF model are using in the paper. The key paper results are the IPTV traffic aggregation interval determination and the comparison the service parameter (queue length) for actual (measured), inverse wavelet transform and ONOFF traffic with similar values of Hurst parameter for G/M/1.
Desertification Effects on Calorific Value, Biomass and Energy Allocation in Horqin Sandy Land, Inner Mongolia, North China
Authors: Yuqiang Li, Halin Zhao, Xueyong Zhao, Tonghui Zhang, Xinping Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

The Horqin Sandy Land is one of the most seriously desertified regions of China. In this paper, we measured the aboveground and belowground biomass, caloric value in biomass components, and biomass energy allocation at three distinct land-cover types of habitat along a desertification gradient in Horqin Sandy Land: non-desertification land (ND), light desertification land (LD), and severe desertification land (SD). The results indicated that not only plant biomass decreased significantly but plant life-form and proportion of biomass components changed with desertification development. The more serious desertification of sandy land, the higher proportion of living biomass accounted for the total aboveground and belowground biomass, and the lower surface litter and belowground litter accumulated. Plant communities of sandy land have the lower ability to convert solar energy into organic matter. The worse was that desertification limited the amount of energy inputting and resulted in producer’s function weakening or bankrupting in ecosystem.
Analysis of Detection and Track on Partially Occluded Face
Authors: Xingjing Du, Chunmei Liu, Yongxia Yu
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

As a new field of information technology, biometrics recognition consists of the recognition of face, iris, retina, pronunciation etc. In recent years, Static face detection algorithms concerning the categories of detection technology have been raised, but these algorithms put their focus on the detection of clear face. The research of detection on partially occluded face has not yet been conducted. Under this circumstance, the thesis gives a brand new static detection and dynamic track algorithm on partially occluded face. This new algorithm is that the static partial face is detected by the YCbCr, the dynamic image sequences use a logic "and" operation to track the partial face, and then the static partial face and dynamic face are fitted, if the fitting value is smaller than the pre-value, the static partial face is considered as a non-face; otherwise the partial is a face. By analyzing the 50 graphs including 160 faces (60 partial faces and 100 clear faces), it has been found that the detection accuracy of the partial faces is 62% and the clear faces detection accuracy is 98%. This new algorithm can provide important reference to partial face detection. The algorithm still needs to be verified and improved further.
RE2-CD: Robust and Energy Efficient Cut Detection in Wireless Sensor Networks
Authors: Myounggyu Won, Stephen M. George, Radu Stoleru
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

Reliable network connectivity in wireless sensor networks (WSN) is difficult to achieve. Harsh, unattended, low-security environments and resource-constrained nodes exacerbate the problem. An ability to detect connectivity disruptions, due to either security or environmental problems, allows WSN to conserve power and memory while reducing network congestion. We propose RE2-CD, an integrated solution incorporating both robustness to attack and energy-efficiency. To enhance security, a robust outlier detection algorithm assists nodes in detecting a specific threat in their environment. To improve energy-efficiency, a cluster-based cut detection algorithm recognizes and reacts to disrupted connectivity. Extensive simulations across a range of network sizes and densities indicate that energy-efficiency can be improved by an order of magnitude in denser networks while malicious nodes are detected at deviations of 1% from expected behavior.
Dynamic Interaction Protocol Load in Multi-Agent System Collaboration
Authors: Maoguang Wang, Zhongzhi Shi, Wenpin Jiao
Venue: Multi-Agent Systems for Society: 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, Kuala Lumpur, Malaysia, September 26-28, 2005, Revised Selected Papers (2009)

Multi-agent system(MAS) has more advantages because the agents can collaborate to complete complex tasks. However, the multi-agent interactions are more complex and even uncontrolled and it is difficult to resolve the multi-agent collaborations. This paper focuses on the interaction protocol in MAS. Firstly the interaction ontology library including role ontology, action ontology and message ontology is introduced into the semantic interactions. Then the representation of interaction protocol is presented, which describes an interaction protocol as process description and decision-making rules. Then we propose a three-layer agent architecture that contains knowledge layer, collaboration control layer and communication layer. We embed a protocol interpreter and loader into the collaboration control layer to deal with the interactions between agents. Finally dynamic interaction protocol load in MAS are discussed, which load the interaction protocol from protocol library conveniently and the code will be generated automatically. To the end we give an experiment to verify our resolution.
Equilibrium customers' choice between FCFS and random servers
Authors: Refael Hassin
Venue: Queueing Systems: Theory and Applications (2009)

Consider two servers of equal service capacity, one serving in a first-come first-served order (FCFS), and the other serving its queue in random order. Customers arrive as a Poisson process and each arriving customer observes the length of the two queues and then chooses to join the queue that minimizes its expected queueing time. Assuming exponentially distributed service times, we numerically compute a Nash equilibrium in this system, and investigate the question of which server attracts the greater share of customers. If customers who arrive to find both queues empty independently choose to join each queue with probability 0.5, then we show that the server with FCFS discipline obtains a slightly greater share of the market. However, if such customers always join the same queue (say of the server with FCFS discipline) then that server attracts the greater share of customers.
Impact of Information and Communication Technologies on School Administration: Research on the Greek Schools of Secondary Education
Authors: Anna Saiti, Georgia Prokopiadou
Venue: Proceedings of the 8th International Conference on Electronic Government (2009)

Information and Communication Technologies (ICT) may be considered as a synonym for the modernization of all organizations, including school units, as they provide for advanced and updated technological tools and applications. Nowadays, the implementation of new technologies in the schools of secondary education in Greece has been rapidly increasing. This adoption of ICT reinforces the teaching process, but also facilitates administrative transactions. The current research aims to determine the level of technological infrastructure present in the secondary schools of Greece, to what extent this equipment meets their administrative needs, to study the role of the school libraries in their contribution to the modernization of school administration, and to examine the conditions that influence the implementation of ICT in school management.
The Relationship between Working Conditions and Musculoskeletal/Ergonomic Disorders in a Manufacturing Facility --- A Longitudinal Research Study
Authors: Dennis R. Jones
Venue: Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009 (2009)

I have done research on the relationship between working conditions and musculoskeletal/ergonomic disorders in a manufacturing facility. I believe that the biomechanical and psychosocial aspects of work have a significant influence on the individual worker's health and well-being. The work organization at which I have evaluated the employee's health and well-being and collected a large amount of data; which I have analyzed; is at a large manufacturing facility. This research is based upon the Balance Theory Model of Smith Carayon-Sainfort [2], [3]. This model specifies that the working conditions and other factors outside of work can create a stress on the individual. That stress can have physiological and psychological consequences. If the stress exceeds the individual's capacity, the stress can produce a negative effect on the individual which could result in a strain. This is a bad fit between the individual resources and the work demands. If the stressful exposure continues for a prolonged time period, then this can result in serious musculoskeletal disorders.
Automatic, Model-Based Software Performance Improvement for Component-based Software Designs
Authors: Anne Martens, Heiko Koziolek
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Formal performance prediction methods, based on queueing network models, allow evaluating software architectural designs for performance. Existing methods provide prediction results such as response times and throughputs, but do not guide the software architect on how to improve the design. We propose a novel approach to optimise the expected performance of component-based software designs by automatically generating and evaluating design alternatives. The design space spanned by different design options (e.g. available components and configuration options) is systematically explored using metaheuristic search techniques and performance-domain heuristics. The gap between applying formal performance predictions and actually improving the design of a system can thus be closed. This paper presents a formal description and a prototypical implementation of our approach with a proof-of-concept case study.
Computer-Assisted Lip Reading Recognition for Hearing Impaired
Authors: Yun-Long Lay, Hui-Jen Yang, Chern-Sheng Lin
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Within the communication process of human beings, the speaker's facial expression and lip-shape movement contains extremely rich language information. The hearing impaired, aside from using residual listening to communicate with other people, can also use lip reading as a communication tool. As the hearing impaired learn the lip reading using a computer-assisted lip reading system, they can freely learn lip reading without the constraints of time, place or situation. Therefore, we propose a computer-assisted lip reading system (CALRS) for phonetic pronunciation recognition of the correct lip-shape with an image processing method, object-oriented language and neuro-network. This system can accurately compare the lip-image of Mandarin phonetic pronunciation using Self-Organizing Map Neuro-Network (SOMNN) and extension theory to help hearing impaired correct their pronunciation.
Discussion on the Prediction Method of the Pavement Performance for Expressway
Authors: Xiao-ming He, Peng Guan, Guo-xiang Hu, Lin Zhou
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

The empirical regression model was selected for forecasting the preventive maintenance time; the grey system theory was used to determine if pavements were fit for preventive maintenance. Combined with the instance, on the forecasting of the pavement performance for an expressway, the application of the grey system theory was introduced.