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International conference on Fuzzy Systems, AFSS 2002

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5th International conference on asian Fuzzy Systems Society, AFSS 2002

ISBN: (纸本)9783540431503

the proceedings contain 73 papers. the special focus in this conference is on Fuzzy Systems, Soft computing - theory and Applications. the topics include: A new perspective on reasoning with fuzzy rules;on interpretability of fuzzy models;degree of similarity in fuzzy partition;fuzzy set in default reasoning;interpolation in hierarchical rule-bases with normal conclusions;the dempster-shafer approach to map-building for an autonomous mobile robot with fuzzy controller;the fuzzy model for aircraft landing control;implementation of nonlinear fuzzy models using microcontrollers;a gain adaptive fuzzy logic controller;vehicle routing, scheduling and dispatching system based on HIMS model;similarity between fuzzy multi-objective control and eligibility;a fuzzy goal programming approach for solving bilevel programming problems;material handling equipment selection by fuzzy multi-criteria decision making methods;verbalizing computers - a way to everyday language computing;soft computing based emotion/intention reading for service robot;wavelet transform based fuzzy inference system for power quality classification;a fuzzy-neural technique for flashover diagnosis of winding insulation in transformers;feature identification for fuzzy logic based adaptive Kalman filtering;soft-computing technologies for biometric-applications;comparative study between different eigenspace-based approaches for face recognition;static signature verification employing a kosko-neuro-fuzzy approach;a study of electrophysiological experimentation and non-equilibrium information theory;characterization of non-linear cellular automata model for pattern recognition;recognition of handprinted bangla numerals using neural network models;a neural network based seafloor classification using acoustic backscatter and weather forecasting system based on satellite imageries using neuro-fuzzy techniques.

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Association-based dissimilarity measures for categorical data: Limitation and improvement

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10th Pacific-Asia conference on advances in Knowledge Discovery and Data Mining, PAKDD 2006

作者： Le, Si Quang Ho, Tu Bao Vinh, Le Sy Japan Advanced Institute of Science and Technology Tatsunokuchi Ishikawa 923-1292 Japan LIRMM Montpellier Cedex 5 France John von Neumann Institute for Computing Juelich Germany American Museum of Natural History New York United States

ISBN: (纸本)3540332065

Measuring the similarity for categorical data is a challenging task in data mining due to the poor structure of categorical data. this paper presents a dissimilarity measure for categorical data based on the relations among attributes. this measure not only has the advantage of value variance but also overcomes the limitations of condition the probability-based measure when applied to databases whose attributes are independent. Experiments with 30 databases also showed that the proposed measure boosted the accuracy of Nearest Neighbor classification in comparison with other tested measures. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Data mining

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Two-Stage Fully Convolutional Networks for Stroke Recovery of Handwritten Chinese Character 5th

Two-Stage Fully Convolutional Networks for Stroke Recovery o...

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5th asian conference on Pattern Recognition, ACPR 2019

作者： Wang, Yujung Sonogashira, Motoharu Hashimoto, Atsushi Iiyama, Masaaki Graduate School of Informatics Kyoto University Kyoto Japan Academic Center for Computing and Media Studies Kyoto University Kyoto Japan Graduate School of Education Kyoto University Kyoto Japan

ISBN: (纸本)9783030412982

In this paper, we propose a method to recover strokes from offline handwritten Chinese characters. the proposed method employs a fully convolutional network (FCN) to estimate the writing order of connected components in offline Chinese character images and a multi-task FCN to estimate the writing order and directions of strokes in each connected component. Online dataset CASIA-OLHWDB1.0 from the CASIA database is hired as the training set. Because the network produces discontinuous strokes, we refine the estimated writing orders using a graph cut (GC), in which the estimated directions are used for calculation of smoothness term. Experimental results with test dataset of CASIA-OLHWDB1.0tst demonstrate the effectiveness of our method. © 2020, Springer Nature Switzerland AG.

关键词： Recovery

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Grouping web pages about persons and organizations for information extraction

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5th International conference on asian Digital Libraries, ICADL 2002

作者： Ye, Shiren Chua, Tat-Seng Liu, Jimin Kei, Jeremy R. School of Computing National University of Singapore 117543 Singapore

ISBN: (纸本)3540002618

Information extraction on the Web permits users to retrieve specific information on a person or an organization. As names are non-unique, the same name may be mapped to multiple entities. the aim of this paper is to describe an algorithm to cluster Web pages returned by search engines so that pages belonging to different entities are clustered into different groups. the algorithm uses named entities as the features to divide the document set into direct and indirect pages. It then uses distinct direct pages as seeds of clusters to group indirect pages into different clusters. the algorithm has been found to be effective for Web-based applications. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Websites

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Effective ad hoc social networking on OLSR MANET using similarity of interest approach 5th

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5th International conference on Internet and Distributed computing Systems, IDCS 2012

作者： Sanguankotchakorn, Teerapat Shrestha, Shradha Sugino, Nobuhiko School of Engineering and Technology Asian Institute of Technology Thailand Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Japan

ISBN: (纸本)9783642348822

Recently, social networking over MANETs has attracted the attention of research community, due to its flexibility, cost saving and infrastructure-less architecture. However, various problems namely, to efficiently find nodes of similar interest and network partition, exist in such environment. For enabling ad hoc social networking in an intermittent network scenario, Delay Tolerant Network (DTN) emerges as one of the solution. this paper proposes a novel algorithm allowing users to find friends of similar interest both in their neighborhood and in entire network by using DTN on OLSR MANET. We investigate and compare the similarity of users interest using four similarity metrics: Cosine Similarity, Jaccard, Correlation and Dice Coefficient. We simulate the algorithms assuming that users change their interest at fixed and random time (normal and uniform distribution). the simulations results show that Cosine Similarity provides the highest number of similar interest matching. In addition, by implementing the proposed algorithm on DTN with the normal distributed users interest-changing time, the success ratio of finding matches increases significantly. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Delay tolerant networks

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Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-Based Approach 7th

Student Personality, Motivation and Sustainability of Techno...

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Proceedings of the 7th International conference on advances in computing and Data sciences, ICACDS 2023

作者： Rohan, Rohani Mukherjee, Subhodeep Patra, Syamal Funilkul, Suree Pal, Debajyoti School of Information Technology King Mongkut’s University of Technology Thonburi Bangkok Thailand Andhra Pradesh Visakhapatnam India Department of Computer Science and Engineering Camellia Institute of Technology West Bengal Kolkata India

ISBN: (纸本)9783031379390

Technology enhanced learning (TEL) has come into prominence and become more relevant after the onset of COVID-19 pandemic. However, it is not known that whether TEL will be socially sustainable, and what factors can affect its sustainability. therefore, in this work we propose a new research model based on UTAUT2 and the Big 5 Personality Framework that considers several motivational factors together with the different personality traits of the students. Data is collected from two asian countries and analyzed using a Covariance-based SEM method. Results suggest that motivational factors of performance expectancy, hedonic motivation, social influence, price value and habit significantly affect the social sustainability of TEL. Likewise, the personality traits of agreeableness and neuroticism are also relevant. Suitable theoretical and practical implications are discussed based on the results. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Scanning electron microscopy

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Molecular computation approach to compete Dijkstra's algorithm

Molecular computation approach to compete Dijkstra's algorit...

引用

asian Control conference

作者： Z. Ibrahim Y. Tsuboi O. Ono M. Khalid Department of Electrical and Electronic Engineering Meiji University Kanagawa Japan Center of Artificial Intelligence and Robotics (CAIRO) Universiti Teknologi Malaysia Kuala Lumpur Malaysia

Deoxyribonucleic acid or DNA computing is an emerging field that bridging the gap between chemistry, molecular biology, computer science, and mathematics. In this paper, the potential of DNA computing to compete with Dijkstra's algorithm is investigated in detail that considers the computation of single source shortest path of a network or graph as a point of reference. the DNA-based computation is designed in such a way that every path is encoded by oligonucleotides and the path's length is directly proportional to the length of oligonucleotides. Using these properties, gel electrophoresis is performed in order to separate the respective DNA molecules according to their length. thus, the shortest strands representing the shortest path could be extracted. We describe in detail in this paper the overall biochemical laboratory procedures involved during the computation.

关键词： DNA computing Computer networks Biology computing Sequences Artificial intelligence Bioinformatics Biological information theory Concurrent computing Intelligent robots Chemistry

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A linear text classification algorithm based on category relevance factors 5th

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5th International conference on asian Digital Libraries, ICADL 2002

作者： Deng, Zhi-Hong Tang, Shi-Wei Yang, Dong-Qing Zhang, Ming Wu, Xiao-Bin Yang, Meng Department of Computer Science and Technology Peking University Beijing100871 China Center for Information Sciences National Laboratory on Machine Perception Peking University Beijing100871 China

ISBN: (纸本)3540002618

In this paper, we present a linear text classification algorithm called CRF. By using category relevance factors, CRF computes the feature vectors of training documents belonging to the same category. Based on these feature vectors, CRF induces the profile vector of each category. For new unlabelled documents, CRF adopts a modified cosine measure to obtain similarities between these documents and categories and assigns them to categories that have the biggest similarity scores. In CRF, it is profile vectors not vectors of all training documents that join in computing the similarities between documents and categories. We evaluated our algorithm on a subset of Reuters-21578 and 20_newsgroups text collections and compared it against k-NN and SVM. Experimental results show that CRF outperforms k-NN and is competitive with SVM. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Vectors

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Group Activity Recognition via computing Human Pose Motion History and Collective Map from Video 5th

Group Activity Recognition via Computing Human Pose Motion H...

引用

5th asian conference on Pattern Recognition, ACPR 2019

作者： Chen, Hsing-Yu Lai, Shang-Hong Department of Computer Science National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9783030412982

In this paper, we propose a deep learning based approach that exploits multi-person pose estimation from an image sequence to predict individual actions as well as the collective activity for a group scene. We first apply multi-person pose estimation to extract pose information from the image sequence. then we propose a novel representation called pose motion history (PMH), that aggregates spatio-temporal dynamics of multi-person human joints in the whole scene into a single stack of feature maps. then, individual pose motion history stacks (Indi-PMH) are cropped from the whole scene stack and sent into a CNN model to obtain individual action predictions. Based on these individual predictions, we construct a collective map that encodes both the positions and actions of all individuals in the group scene into a feature map stack. the final group activity prediction is determined by fusing results of two classification CNNs. One takes the whole scene pose motion history stack as input, and the other takes the collective map stack as input. We evaluate the proposed approach on a challenging Volleyball dataset, and it provides very competitive performance compared to the state-of-the-art methods. © 2020, Springer Nature Switzerland AG.

关键词： Forecasting

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Quantum control and quantum error correction

Quantum control and quantum error correction

引用

asian Control conference

作者： G.J. Milburn M. Sarovar C. Ahn Centre for Quantum Computer Technology School of Physical Science University of Queensland Brisbane QLD Australia Institute for Quantum Information California Institute of Technology Pasadena CA USA

We describe a scheme for quantum error correction that employs feedback and weak measurement. this provides a method of protecting an unknown quantum state against errors that does not use the standard tools of quantum error correction - projective measurements and fast controlled unitary gates - and is practicably implementable because of the little side processing required. We evaluate the performance of our scheme by simulating a simple scenario of protection against bit-flips.

关键词： Error correction Quantum computing Protection Computer errors Information processing Working environment noise Error correction codes Stationary state Physics computing Australia

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