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Intelligent dynamic modeling system for multi-target optimization based on power grid pattern recognition

Intelligent dynamic modeling system for multi-target optimiz...

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2010 6th international conference on Natural Computation, ICNC'10

作者： Nan, Liu Dun Li, Chen Zheng, Shao Li School of Economic and Management North China Electric Power University Beijing 102206 China Dispatching Centre Hubei Electric Power Company Wuhan 410000 China

ISBN: (纸本)9781424459612

Basic: With the proposal of the smart grid strategy, there are higher requirement for the real time dispatching and unit commitment, objectively, the new generation of unit commitment should be dynamic, smart, refining efficiency and operable. The multi-objective unit commitment intelligent optimization system for unit commitment based on the power grid state recognition which this paper established is an improvement of the existing unit commitment optimization pattern. It make use of knowledge base system to it identify and classify the real time operation state of power grid, base on which it determines "the primary optimization objectives" and "the primary constraints", meanwhile it achieves the simplification and dynamic modeling of the multi-objective problem. It does not only improve the accuracy of the multi-target model and make the model targeted, but also simplify the model and improve the computing efficiency. © 2010 IEEE.

关键词： Multiobjective optimization

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Breaking the Status Quo: Improving 3D Gesture recognition with Spatially Convenient Input Devices

Breaking the Status Quo: Improving 3D Gesture Recognition wi...

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conference on Virtual Reality 2010

作者： Hoffman, Michael Varcholik, Paul LaViola, Joseph J., Jr. Univ Cent Florida Orlando FL 32816 USA

ISBN: (纸本)9781424462582

We present a systematic study on the recognition of 3D gestures using spatially convenient input devices. Specifically, we examine the linear acceleration-sensing Nintendo Wii Remote coupled with the angular velocity-sensing Nintendo Wii MotionPlus. For the study, we created a 3D gesture database, collecting data on 25 distinct gestures totalling 8500 gestures samples. Our experiment explores how the number of gestures and the amount of gestures samples used to train two commonly used machine learning algorithms, a linear and AdaBoost classifier, affect overall recognition accuracy. We examined these gesture recognition algorithms with user dependent and user independent training approaches and explored the affect of using the Wii Remote with and without the Wii MotionPlus attachment. Our results show that in the user dependent case, both the AdaBoost and linear classification algorithms can recognize up to 25 gestures at over 90% accuracy, with 15 training samples per gesture, and up to 20 gestures at over 90% accuracy, with only five training samples per gesture. In particular, all 25 gestures could be recognized at over 99% accuracy with the linear classifier using 15 training samples per gesture, with the Wii Remote coupled with the Wii MotionPlus. In addition, both algorithms can recognize up to nine gestures at over 90% accuracy using a user independent training database with 100 samples per gesture. The Wii MotionPlus attachment played a significant role in improving accuracy in both the user dependent and independent cases.

关键词： I.5.2 [pattern recognition]: design methodology - classifier design and evaluation I.6.3 [computing methodologies]: methodologies and techniques - interaction techniques K.8 [computing milieux]: personal computing - games

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Study of Hand-Dorsa Vein recognition

Study of Hand-Dorsa Vein Recognition

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6th international conference on Intelligent computing

作者： Wang, Yiding Li, Kefeng Cui, Jiali Shark, Lik-Kwan Varley, Martin N China Univ Technol Coll Informat Engn Beijing 100144 Peoples R China Univ Cent Lancashire Sch Comp Engn & Phys Sci Preston PR1 2HE Lancs England

ISBN: (纸本)9783642149214

A new hand-dorsa vein recognition method based on Partition Local Binary pattern (PLBP) is presented in this paper The proposed method employs hand-dorsa vein images acquired from a low cost near infrared device After preprocessing the image is divided into sub images LBP uniform pattern features are extracted from all the sub images which are combined to form the feature vector for token vein texture features The method is assessed using a similarity measure obtained by calculating the Chi square statistic between the feature vectors of the tested sample and the target sample Integral histogram method original LBP and Partition LBP with 16 32 64 sub-images are tested on a database of 2040 Images from 102 individuals built up by a custom-made acquisition device The experimental results show that Partition LBP performs better than original LBP Circular Partition LBP performs better than Rectangular Partition LBP and when the image was divided into 32 performs better than others

关键词： Biometrics hand dorsa vein Partition Local Binary pattern (PLBP)

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Efficient path planning method based on Genetic Algorithm combining path network

Efficient path planning method based on Genetic Algorithm co...

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international conference on Genetic and Evolutionary computing

作者： Li, Shidong Ding, Mingyue Cai, Chao Jiang, Lei Hubei University for Nationalities Enshi Hubei China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769542812

Fast algorithm for path planning is helpful for artificial intelligence. Genetic Algorithm (GA) is a typical evolution method, used widely in path planning. A new GA based on path network is proposed in this paper. Efficient chromosome encoding strategy provided guarantees, and each chromosome represents a feasible path, avoiding the searching circulation. Variation happens at certain positions, making the algorithm assemble quickly. Experimental result shows that the GA combining with path network can plan path quickly. By means of path cells, it works efficiently to produce multi path simultaneously. © 2010 IEEE.

关键词： Motion planning

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Explaining classification by finding response-related subgroups in data

Explaining classification by finding response-related subgro...

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11th ACIS international conference on software Engineering, Artificial Intelligence, Networking and Parallel/Distributed computing, SNPD2010

作者： Parviainen, Elina Vehtari, Aki Biomedical Engineering and Computational Science Aalto University School of Science and Technology Helsinki Finland

ISBN: (纸本)9780769540887

A method for explaining results of a regression-based classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found are related to classifier predictions, and each cluster can be considered a possible explanation for classification result. The clusters are described by simple rules, meant to be easy for a human to understand. The key points of the work are presenting a modular framework for explaining the classification, and studying and comparing two different approaches for extracting a metric from a classifier model. © 2010 IEEE.

关键词： pattern recognition

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Activity recognition from call detail record: Relation between mobile behavior pattern and social attribute using hierarchical conditional random fields

Activity recognition from call detail record: Relation betwe...

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2010 IEEE/ACM international conference on Green computing and Communications, GreenCom 2010, 2010 IEEE/ACM international conference on Cyber, Physical and Social computing, CPSCom 2010

作者： Zhou, Chen Xu, Zhengguang Huang, Benxiong Electronic and Information Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769543314

Mobile phone, as a kind of most commonly used vehicle of communication, keep records of every movements of each person. For each cell phone user, the different social attribute, leading to various mobility behaviors and social cliques, reflect on dissimilarity of their call behavior patterns. How to deduce the social attribute from the calling behavior is discussed in this paper, by estimated the time he spent on his business, his family or his friends. The data contains 749 users 3 months call detail records (CDR) with the 5 different jobs, which is selected randomly from database of a telecommunication operator who refuse to apprize its name. In this paper, the daily behavior of one user is divided into 48 parts with every half an hour as a basic element which is labeled with one activity-mode. There are eight activity-modes, inferred using hierarchical conditional random fields (HCRF), including four work-purpose states, two chatpurpose states and two other states as 3 basic elements of calling behavior. The cluster result is shown and the analyses of relation between the cluster and the job are made. © 2010 IEEE.

关键词： Data mining

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Proceedings - 16th IEEE international conference on Embedded and Real-Time computing Systems and Applications, RTCSA 2010

Proceedings - 16th IEEE International Conference on Embedded...

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16th IEEE international conference on Embedded and Real-Time computing Systems and Applications, RTCSA 2010

ISBN: (纸本)9780769541556

The proceedings contain 41 papers. The topics discussed include: a study of utilization bound and run-time overhead for cluster scheduling in multiprocessor real-time systems;improving the schedulability of sporadic self-suspending soft real-time multiprocessor task systems;real-time communication for multicore systems with multi-domain ring buses;towards pervasive mashups in embedded devices;real-time activity recognition in wireless body sensor networks: from simple gestures to complex activities;detecting, locating, and tracking hacker activities within a WLAN network;sensitivity analysis for EDF scheduled arbitrary deadline real-time systems;feasibility analysis under fixed priority scheduling with fixed preemption points;modeling of real-time system designs for parametric analysis;and context-based analysis of system execution traces for validating distributed real-time and embedded system quality-of-service properties.

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A pattern-oriented design agent

A pattern-oriented design agent

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international conference on Computers and Industrial Engineering

作者： Chen, Chiung-Hui Dept. Media and Design Asia University Taichung Taiwan

ISBN: (纸本)9781424472956

This research adopts "A pattern Language" as a basis, proposed by Christopher Alexander, an architectural theorist who thinks a designer can extend more design patterns if he can pass on the developed design knowledge and accumulate the results. On the other hand, the Agent-Oriented Design is a new generation method of programming design that mainly uses the script language as a basis for development and that is suitable to design the multi-agent application system. Based on the above research background, each "spatial object" in the space defined in this research is called "agent", and the so-called "pattern" refers to "a feasible way of assembly among agents of spatial objects". A pattern can be regarded as the one similar to "the concept of script function". Supposing each agent of spatial object can have its own behavioral mechanism, "coordinative agents" responsible for coordinative function of behavior need to be added if excellent coordination is required for action dependencies among the agents when a script function is executed;that is, to complete a "design goal". Therefore, the purpose of this research is to propose "a communicative and coordinative mechanism of agents of spatial objects" by establishing this pattern-oriented design agent.

关键词： Multi agent systems

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pattern recognition comparative analysis applied to fingerprint indoor mobile sensors localization

Pattern recognition comparative analysis applied to fingerpr...

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10th IEEE international conference on Computer and Information Technology, CIT-2010, 7th IEEE international conference on Embedded software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable computing and Communications, ScalCom-2010

作者： Aviles, Jose Vicente Marti Prades, Raul Marin Dpto Ingenieria y Ciencia de los Computadores Universitat Jaume I Castellon Spain Intelligent Robotics Laboratory Universitat Jaume I Castellon Spain

ISBN: (纸本)9780769541082

Location Fingerprinting methods are an alternative to accurate localization of mobile sensors and actuators in indoor environments, which learn a radio map for a given scenario and use this information for recognizing the position of a given node at a particular moment. In fact, when using other conventional methods in complex scenarios that may present irregular geometries and materials, fingerprinting techniques can be a very good alternative. Moreover, although they need a previous training of a knowledge database for each scenario, once this is done the method runs in a quite stable and accurate manner without needing any sophisticated hardware. In this paper we present a comparation between the CC2431 Texas Instruments Location Engine and two pattern recognition methods applied to fingerprinting localization in several indoor scenarios in our university. Results show that this kind of technique is very interesting for known environments such as warehouses, universities and so on. © 2010 IEEE.

关键词： Location

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A MOLECULAR CONCEPT OF MANAGING DATA

A MOLECULAR CONCEPT OF MANAGING DATA

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2nd international conference on Agents and Artificial Intelligence (ICAART 2010)

作者： Schommer, Christoph Univ Luxembourg Dept Comp Sci 6 Coudenhove Kalergi L-1359 Luxembourg Luxembourg

ISBN: (纸本)9789896740214

Life and argues that the (relational) management of data can be understood as a chemical model. Whereas each data itself is consistent with atomic entities, each combination of data corresponds to a (artificial) molecular structure. For example, an attribute D inside a relational system can be represented by a nucleus ap sharing a cloud of values, which consists of so-called valectrons (the values for the column D). By using reaction rules like the selection of tuples or projection of attributes, a retrieve of molecules can be achieved quite easily. Advantages of the chemical model are no data types, a fast data access, and the associative nature of the molecules: this automatically supports a direct identification of patterns in the sense of data mining. A disadvantage is the need for restructuring that must eventually be done, because the incoming data stream is allowed to influence the chemical model. With this position paper, we present our basic concept.

关键词： Artificial life Relational data management pattern recognition Bio-inspired computing

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