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检索条件"任意字段=Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition"

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JCSSE 2012 - 9th international Joint conference on Computer Science and Software Engineering

JCSSE 2012 - 9th International Joint Conference on Computer ...

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2012 9th international Joint conference on Computer Science and Software Engineering, JCSSE 2012

ISBN: (纸本)9781467319218

the proceedings contain 69 papers. the topics discussed include: a novel approach to identify problematic call center conversations;automatic online text selection for constructing text corpus with custom phonetic distribution;available car parking space detection from webcam by using adaptive mixing features;hazardous signs and fire exit signs classification using appropriate shape coding algorithm and BPN;human gesture recognition using kinect camera;neural computing-based pedestrian detection from image sequence;re-established cost function training algorithm to enhance accuracy of minority class in imbalanced data learning;solving multimodal problems by coincidence algorithm;web usage pattern analysis through web logs a review;a new mobile phone system architecture for the navigational traveling blind;and delay prediction in mobile ad hoc network using trapezoidal fuzzy numbers.

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Application of back propagation neural networks on maize plant detection 9

Application of back propagation neural networks on maize pla...

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9th international conference on theory and Application of Soft computing, computing with Words and Perception (ICSCCW)

作者： Dimililer, Kamil Kiani, Ehsan Near East Univ Fac Engn Elect & Elect Engn Dept Nicosia 10 Mersin Turkey Near East Univ Fac Engn Automot Engn Dept Nicosia 10 Mersin Turkey

Development of automated in-row weed control is one of the costliest and complicated tasks in agricultural industry despite the rapid development of agricultural robotics. Hence, this study proposes an easy-to-implement and accurate system capable of real-time maize plant detection, which is the key part of the entire weeding machine. Mediterranean farmers use mechanized equipment for dominant crops, however, they suffer a labor-intensive in-row hand weeding. therefore, this work focuses on a Back propagation neural network system to be a framework for a real-time maize plant classifier utilizing advanced machine-vision (single-lens vision) techniques. Back Propagation Neural Network (BPNN) incorporates a single-board computer platform. the proposed framework is tested on images that on images that have no-specific distinguishing geometric pattern, varying light conditions. the obtained BPNN results were found to be encouraging considering the time consuming occurs manually to differentiate the maize plant from the other harmful herbs. (c) 2018 the Authors. Published by Elsevier B.V.

关键词： Back propagationneural networks maize detection pattern recognition agriculture robotics

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Social Engineering and Prototype Awareness Enhancing During international Coronavirus Outbreak 9

Social Engineering and Prototype Awareness Enhancing During ...

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9th Mediterranean conference on Embedded computing (MECO)

作者： Lastovicka-Medin, Gordana Univ Montenegro Fac Nat Sci & Math Podgorica Montenegro

ISBN: (纸本)9781728169491

this paper reports on a prototype awareness enhancing and monitoring device which will assist its users in order to reduce the spreading of Coronavirus (COVID-19). An awareness network between humans and sensors was used to build a human-sensor cognitive system that projects human unawareness of habitual behavior into self-correctness. the collaborative action was based on the ability of the sensor to collect information (face touching), communicate information to a human through visual (sound) warning and affect his/her decisions through fostering behavioral change, the prototype has two additional functions: a vibrating and sound awareness functions that are activated when a person places their hands in a location associated with the face. To some extend this approach coincides with the features of social engineering, and with the approach of harnessing the social and artificial intelligence for the social benefit.

关键词： coronavirus outbreak prototype awareness enhancing IoT driven behavior changing intervention impaired behavioral pattern radar based on ultrasound IoT driven social engendering

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A web-based interaction design tool: pattern

A web-based interaction design tool: Pattern

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9th IEEE international conference on Ubiquitous Intelligence and computing, UIC 2012 and 9th IEEE international conference on Autonomic and Trusted computing, ATC 2012

作者： Toolkit, Language Chen, Chieh Jen Teng, Chin Hung Li, Tsai-Yen Computer Science Dept. National Chengchi Univ. Taipei Taiwan Information Communication Dept. Yuan-Ze Univ. Taoyuan Taiwan

Interactive installation and new media are new developing areas with great potential in art and design. In these new art domains, artists use various types of media through different ways of interactions to create and present their artworks. However, due to the multimedia and cross domain features of this type of art, traditional design principles and tools may not cover the theoretical and practical needs of the artists in this domain. In this research we attempt to create a new design guideline aiming for interactive installation and new media art design. We found that the pattern language, proposed by Alexander in 1977, can perfectly fit the requirements of these new forms of art design. In order to illustrate how to apply the pattern language to interactive installation design, we have developed a set of patterns from the analysis of several related artworks and articles in the literature. We have developed a Web-based visualization system, in which one can share and communicate their ideas and experience with other experts during artwork design through the common language patterns. this system allows the users to clarify and consolidate their ideas by decomposing them into pieces of related patterns that can be re-built to form a more constructive pattern diagram. Moreover, this tool can also be used to stimulate the imagination of user through related works of similar pattern. In a preliminary evaluation of our system, we have interviewed three artists in this area about the feedback of using this system and their responses are rather positive. We believe that this type of tool utilizing pattern language can effectively help the artists realize their ideas in interactive installation and new media art designs. © 2012 IEEE.

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Human Posture recognition using Artificial Neural Networks 8

Human Posture Recognition using Artificial Neural Networks

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IEEE 8th international Advance computing conference (IACC)

作者： Kale, Hrishikesh Mandke, Prathamesh Mahajan, Hrishikesh Deshpande, Vedant COEP Dept Elect & Telecommun Engn Pune Maharashtra India

ISBN: (纸本)9781538666784

this paper proposes the use of artificial neural networks(ANNs) to classify human postures, using an invasive(intrusive) approach, into 6 categories namely standing, sitting, sleeping and bending - forward and backward. Human posture recognition has numerous applications in the field of healthcare analysis like patient monitoring, lifestyle analysis, elderly care etc. Most importantly, our solution is capable of classifying the aforementioned postures in real-time, by wirelessly(Wi-Fi) acquiring and processing the sensor data on a Raspberry-Pi device with minimal lag. A data-set of 44,800 samples was collected - from 3 subjects - which was used to train and test the neural *** experimenting and testing with a plethora of network architectures, an optimal neural network architecture(6-9-6) with suitable hyper-parameters was determined which gave an overall accuracy of 97.589%.

关键词： pattern-recognition neural-networks posture-recognition wearable-sensors accelerometers embedded systems real time movement classification sensor positioning

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proceedings of the 2015 IEEE 9th international conference on Semantic computing, IEEE ICSC 2015

Proceedings of the 2015 IEEE 9th International Conference on...

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9th IEEE international conference on Semantic computing, IEEE ICSC 2015

ISBN: (纸本)9781479979356

the proceedings contain 90 papers. the topics discussed include: reducing search space for web service ranking using semantic logs and semantic FP-tree based association rule mining;advisory services for user composition tools;an ontology design pattern to represent universal relationships;a syntactic approach for aspect based opinion mining;cascade object detection with complementary features and algorithms;linked crowdsourced data - enabling location analytics in the linking open data cloud;generating formal hardware verification properties from natural language documentation;an ontological and hierarchical approach for supply chain event aggregation;filtering technique for high speed database sequence comparison;and towards multi-lingual adaptability of subjective logic based document summarization: a case study with chinese documents.

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proceedings of the 9th IASTED international conference on Artificial Intelligence and Soft computing, ASC 2005

Proceedings of the 9th IASTED International Conference on Ar...

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9th IASTED international conference on Artificial Intelligence and Soft computing, ASC 2005

ISBN: (纸本)0889865361

the proceedings contain 79 papers. the topics discussed include: a novel analog module placement procedure based on hierarchical genetic algorithm;optimizing dynamical fuzzy systems using aging evolution strategies;realization of rational genetic algorithm;layered server-client model for asynchronous parallel distributed GA and its parameter;phase recovery from a single fringe pattern through the use of a genetic algorithm;application of evolutionary algorithms to the design of logic circuits consisted of multi-input gates;using fuzzy evolutionary programming to solve traveling salesman problems;evolutionary programming with exponential mutation;optimized fuzzy controller for a helicopter;speed control of an induction motor by using fuzzy variable structure controller;a fuzzy model for long-term financial time series;and a hybrid algorithm for random fuzzy expected value models.

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A new development on ANN in China - Biomimetic pattern recognition and multi weight vector neurons 9th

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9th international conference on Rough Sets, Fuzzy Sets, Data Mining and Granular computing (RSFDGrC 2003)

作者： Wang, SJ Chinese Acad Sci Inst Semicond Lab Artificial Neural Networks Beijing 100083 Peoples R China

ISBN: (纸本)3540140409

A new model of pattern recognition principles-Biomimetic pattern recognition, which is based on "matter cognition" instead of "matter classification", has been proposed. As a important means realizing Biomimetic pattern recognition, the mathematical model and analyzing method of ANN get breakthrough: a novel all-purpose mathematical model has been advanced, which can simulate all kinds of neuron architecture, including RBF and BP models. As the same time this model has been realized using hardware;the high-dimension space geometry method, a new means to analyzing ANN, has been researched.

关键词： neural network high-dimensional space geometry pattern recognition

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Access-pattern and Bandwidth Aware File Replication Algorithm in a Grid Environment 08

Access-Pattern and Bandwidth Aware File Replication Algorith...

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9th IEEE/ACM international conference on Grid computing

作者： Sato, Hitoshi Matsuoka, Satoshi Endo, Toshio Maruyama, Naoya Tokyo Inst Technol Tokyo Japan

ISBN: (纸本)9781424425785

Replication in grid file systems can significantly improve I/O performance of data-intensive grid applications, but its manual creation and placement would be impractical in a real grid environment involving thousands to millions of files accessed per application. Although automatic determination of where and how many replicas should be created should be decided with regards to application access patterns and network throughputs, thereby achiving high application throughput and minimizing replica space overhead, previous stuides have focused on limited parameter spaces in their algorithmic optimizations. We propose an automated replication algorithm that allows most of I/O accesses to be performed within a given time threshold, while simultaneously minimizing the space overhead by replication. Our algorithm models the replication problem as a combinatorial optimization problem, where the constraints are derived from the given access time threshold and various system parameters, while the objective function being to minimize file replication costs. We solve the optimization problem by dynamically monitoring and estimating internode link throughputs and file access patterns of running applications. Our simulation-based studies suggest that the proposed algorithm can achieve higher performance than simple techniques, such as ones that always or never create replicas, while keeping storage usage very low. the results also indicate that the proposed automated algorithm can perform comparably with manual replica placement.

关键词： File systems throughput Monitoring Optimization Prototypes Databases Bandwidth

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Automatic detection of document script and orientation

Automatic detection of document script and orientation

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9th international conference on Document Analysis and recognition, ICDAR 2007

作者： Lu, Shijian Chew, Lim Tan Department of Computer Science School of Computing National University of Singapore Kent Ridge 117543 Singapore

ISBN: (纸本)0769528228

this paper presents an identification technique that automatically detects the underlying script and orientation of scanned document images. In the proposed technique, document script and orientation are identified by using the stroke density and distribution, which convert each document image into a document vector. For each script at each orientation, a number of reference document vectors are first constructed. Script and orientation of the query document are then determined according to the similarity between the query document vector and multiple preconstructed reference document vectors by using the Knearest neighbor algorithm. Experiments show that the proposed technique is tolerant to the document skew and able to detect orientations of documents of different scripts. © 2007 IEEE.

关键词： Vectors

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