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检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"

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Intelligent Decision Technologies 2016: proceedings of the 8th KES international conference on Intelligent Decision Technologies (KES-IDT 2016) Part II

引用

2018年

作者： Ireneusz Czarnowski Alfonso Mateos Caballero Robert J Howlett Lakhmi C Jain

ISBN: (纸本)9783319819266

the KES-IDT-2016 proceedings give an excellent insight into recent research, both theoretical and applied, in the field of intelligent decision making. the range of topics explored is wide, and covers methods of grouping, classification, prediction, decision support, modelling and many more in such areas as finance, linguistics, medicine, management and transportation. this proceedings contain several sections devoted to specific topics, such as: Specialized Decision Techniques for Data Mining, Transportation and Project Management pattern recognition for Decision Making Systems New Advances of Soft computing in Industrial and Management Engineering Recent Advances in Fuzzy Systems Intelligent Data Analysis and Applications Reasoning-based Intelligent Systems Intelligent Methods for Eye Movement Data Processing and Analysis Intelligent Decision Technologies for Water Resources Management Intelligent Decision Making for Uncertain Unstructured Big Data Decision Making theory for Economics Interdisciplinary Approaches in Business Intelligence Research and Practice pattern recognition in Audio and Speech Processing the KES-IDT conference is a well-established international annual conference, interdisciplinary in nature. these two volumes of proceedings form an excellent account of the latest results and outcomes of recent research in this leading-edge area.

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Intelligent Decision Technologies 2016: proceedings of the 8th KES international conference on Intelligent Decision Technologies (KES-IDT 2016) Part I

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2018年

作者： Ireneusz Czarnowski Alfonso Mateos Caballero Robert J Howlett Lakhmi C Jain

ISBN: (纸本)9783319819273

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Towards Multi-cloud SLO Evaluation 8

Towards Multi-cloud SLO Evaluation

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8th international conference on Cloud computing and Services Science (CLOSER)

作者： Kritikos, Kyriakos Zeginis, Chrysostomos Paravoliasis, Andreas Plexousakis, Dimitris ICS FORTH N Plastira 100 Iraklion 70013 Crete Greece

ISBN: (纸本)9789897582950

A modern service-based application (SBA) operates in a cross-cloud, highly dynamic environment while comprises various components at different abstraction levels that might fail. To support cross-level SBA adaptation, a cross-cloud Service Level Objective (SLO) monitoring and evaluation system is required, able to produce the right events that must trigger suitable adaptation actions. While most research focuses on SBA monitoring, SLO evaluation is usually restricted in a centralised, single-cloud form, not amenable to heavy workloads that could incur in a complex SBA system. thus, a fast and scalable event generation and processing system is needed, able to scale well to handle such a load. Such a system must address the cross-level event composition, suitable for detecting complex problematic situations. this paper closes this gap by proposing a novel complex event processing framework, scalable and distributable across the whole SBA architecture. this framework can cover any kind of event combination, no matter how complex it is. It also supports event pattern management while exploits a publish-subscribe mechanism to: (a) synchronise with the modification of adaptation rules directly involving these event patterns;(b) enable the decoupling from an SBA management system.

关键词： Complex Event Processing Event pattern Detection Service

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Verifying the Proxy Design pattern using Object Propositions 2017

Verifying the Proxy Design Pattern using Object Propositions

引用

8th ACM SIGPLAN international conference on Systems, Programming, Languages, and Applications: Software for Humanity, SPLASH Companion 2017

作者： Nistor, Ligia Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781450355148

In this extended abstract we explore the expressiveness and modularity of our recently published object propositions methodology by applying it to verify properties about programs that use the proxy design pattern. this instance implements a general proxy-real object system that is routinely used in industry and the verification of which is challenging. © 2017 Association for computing Machinery.

关键词： Java programming language

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Affective computing: Using Covariance Descriptors for Facial Expression recognition 8th

Affective Computing: Using Covariance Descriptors for Facial...

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8th international conference on Image and Signal Processing (ICISP)

作者： Naidoo, Ashaylin Tapamo, Jules Raymond Khutlang, Rethabile Univ KwaZulu Natal ZA-4000 Durban South Africa CSIR ZA-0184 Pretoria South Africa

ISBN: (纸本)9783319942117;9783319942100

Facial expression contains a rich variety of affective information. Facial Expression recognition (FER) is an emerging field that has broad applications in the fields of human-computer interaction, psychological behaviour analysis and image understanding. However, FER presently is not fully realized due to the lack of an effective facial feature descriptor. this paper will examine the performance of a novel facial image descriptor referred to as Local Directional Covariance Matrices (LDCM). the descriptor will consist of fusing features, such as location, intensity, filter responses and incorporate local texture patterns. Tests were done on both posed and spontaneous facial expression datasets to evaluate the performance of the proposed model on real-world applications. Results demonstrate the effectiveness of the covariance feature descriptors compared to standard methods.

关键词： Local Directional pattern Facial expression recognition Covariance descriptor Local Binary pattern

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Human-Computer Interaction using Finger Signing recognition with Hand Palm Centroid PSO Search and Skin-Color Classification and Segmentation 8

Human-Computer Interaction using Finger Signing Recognition ...

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8th international conference on Image Processing theory, Tools and Applications (IPTA)

作者： Hamici, Zoubir Al Zaytoonah Univ Jordan ZUJ Fac Engn & Technol Dept Elect Engn Amman Jordan

ISBN: (纸本)9781538664285

this paper presents a novel image processing technique for recognizing finger signs language alphabet. A human-computer interaction system is built based on the recognition of sign language which constitutes an interface between the computer and hearing-impaired persons, or as an assistive technology in industrial robotics. the sign language recognition is articulated on the extraction of the contours of the sign language alphabets, therefore, converting image recognition into one dimensional signal processing, which improves the recognition efficiency and significantly reduces the processing time. the pre-processing of images is performed by a novel skin-color region segmentation defined inside the standard RGB (sRGB) color space, then a morphological filtering is used for non-skin residuals removal. Afterwards, a circular correlation achieves the identification of the sign language after extracting the sign closed contour vector and performing matching between extracted vector and target alphabets vectors. the closed contour vector is generated around the hand palm centroid with position optimized by a particle swarm optimization algorithm search. Finally, a multi-objective function is used for computing the recognition score. the results presented in this paper for skin color segmentation, centroid search and pattern recognition show high effectiveness of the novel artificial vision engine.

关键词： Human-Machine Interaction pattern recognition Particle Swarm Optimization Sign language Skin-color Segmentation

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Array pattern correction in presence of antenna failures using metaheuristic optimization algorithms 8

Array pattern correction in presence of antenna failures usi...

引用

8th IEEE international conference on Communication and Signal Processing, ICCSP 2019

作者： Patel, Priyanka Kumari, Gunjan Saxena, Prerna Indian Institute of Information Technology Design and Manufacturing Kancheepuram Chennai India

ISBN: (纸本)9781538675953

A novel method Whale Optimization Algorithm (WOA) and Chaotic Whale Optimization Algorithm (CWOA) are proposed for failure correction of linear antenna array and studied with respect to their efficiency and convergence. the presence of erroneous elements in linear array accounts for the degradation of performance in the form of reduction in gain, broadening of beam and increased side lobe level. In this paper, WOA and CWOA algorithms are applied for the first time for failure correction. the synthesis involves a priori knowledge of failed elements by assigning null weight of amplitude excitation to faulty array elements at different positions. Array pattern synthesis for optimum side lobe level is demonstrated for 2-element and 3-element failure conditions. Performance comparison of proposed algorithms is presented. © 2019 IEEE.

关键词： Antenna arrays

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pattern generation and dimensionality reduction using CNN for image restoration 8

Pattern generation and dimensionality reduction using CNN fo...

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8th IEEE international conference on Communication and Signal Processing, ICCSP 2019

作者： Sankaran, K. Sakthidasan Sasikumar, S. Vasudevan, N. Prakash, V.R. Babitha, L. Department of Electronics and Communication Engineering Hindustan Institute of Technology and Science Chennai India

ISBN: (纸本)9781538675953

In recent days the image retrieval process is used in many applications are medical images, image classification and image segmentation *** image retrieval is the process of retrieving images from the database. the retrieved images are classified by numerous classification techniques. In this work, the preprocessing stage, the input images are isolated from background and foreground images. A novel window based pattern generation technique is used to generate the patterns of preprocessed image. these patterns are provide the necessary information which are present in the preprocessed image. From this pattern the effective features are extracted and these features are classified by using a novel dimensionality reduction based classification technique of convolution neural network (CNN). the proposed method performance is high compare than other classification techniques of SVM and KNN. © 2019 IEEE.

关键词： Image retrieval

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8th international conference on ICT Innovations, ICT Innovations 2016

8th International Conference on ICT Innovations, ICT Innovat...

引用

8th international conference on ICT Innovations, ICT Innovations 2016

ISBN: (纸本)9783319688541

the proceedings contain 24 papers. the special focus in this conference is on ICT Innovations. the topics include: Preface;towards multimodal affective stimulation: Interaction between visual, auditory and haptic modalities;performance evaluation of FIR and IIR filtering of ECG signals;influence of fuzzy tolerance metrics on classification and regression tasks for fuzzy-rough nearest neighbour algorithms;on the Kalman filter approach for localization of mobile robots;evaluation of automatically generated conceptual database model based on business process model: Controlled experiment;analysis of protein interaction network for colorectal cancer;using sentiment analysis of Twitter data for determining popularity of city locations;internet addiction: Evaluating the psychometric properties of the IAT in Macedonia;health care domain mobile reminder for taking prescribed medications;enhancing text-based relatedness measures with semantic web data;power consumption analysis of application layer protocols for the Internet of things;cognitive and emotive robotics: Artificial brain computing cognitive actions and emotive evaluations, since 1981;improving medical cases retrieval using an online fact database;improving scalability of web applications by utilizing asynchronous I/O;relevance re-ranking through proximity based term frequency model;information system for biosensors data exchange in healthcare;an automatic tracking system for natural hazard events with satellite remote sensing;metaphors of creativity;socially intelligent robots, the next generation of consumer robots and the challenges;hand gesture recognition using deep convolutional neural networks;computer-based statistical description of phonetical balance for Romanian utterances;distributed private key generator for ID-based public key infrastructure;pattern recognition of a digital ECG.

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A novel architecture of smart healthcare system on integration of cloud computing and IoT 8

A novel architecture of smart healthcare system on integrati...

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8th IEEE international conference on Communication and Signal Processing, ICCSP 2019

作者： Kumar, Neelam Sanjeev Nirmalkumar, P. Department of Electronics and Communication Engineering Anna Univrsity Chennai India

ISBN: (纸本)9781538675953

Cloud computing and IoT are two divergent technologies but they are a major player in communication and data transfer. Using these two advances making them more omnipresent and it's assuming an indispensable part in and ended up vital segments of the upcoming Internet. To screen the patient subtle elements in the intermittent interim is an overhead utilizing accessible advances. To defeat this we have picked to remote sensor advances. Round the clock, the medicinal concern can be provided to the elderly by rigorous data observation, so no need to wait for the medical condition to escalate. An instantaneous plot of the vital information can be viewed by the medical examiner. this would reflect any gradual changes in the patient's condition, and care can be accommodated immediately. In this Research work, discuss the viable options that we possess, in terms of patient surveillance. the objective of this work has been fulfilled with a frontier technology named as IoT, which is a major contributor to this work. Information is transmitted through the vast space that surrounds us and it makes this information accessible to authorized with ease. © 2019 IEEE.

关键词： Cloud computing

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