Approximate computing is a technique which designers are fallen back on considering the low-power requirements of applications that are resilient to errors. However, the utilization of approximate computing has been l...
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In order to obtain accurate real-time system state recognition under the supervision of the universal mobile internet of things management platform, an intelligent fault diagnosis system is proposed. And the intellige...
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ISBN:
(纸本)9781728129808
In order to obtain accurate real-time system state recognition under the supervision of the universal mobile internet of things management platform, an intelligent fault diagnosis system is proposed. And the intelligent fault diagnosis system is presentation based on ZigBee technology and particle filter in this paper. Real-time collection of multi-variable data is realized by adopting ZigBee wireless sensor network, and the accurate estimation of the state of monitored objects and intelligent prediction of faults are based on the particle filtering algorithm. the proposed approach is implemented on a circuit fault identification system. the application results show that the proposed approach can achieve the real-time remote monitoring, accurate state estimation and fault diagnosis, meanwhile, effectively enhance applicable scope and diagnostic level of the fault diagnosis system.
there is a growing need for a user-friendly human-computer interaction system that can respond to various characteristics of a user in terms of behavioral patterns, mental state, and personalities. In this paper, we p...
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ISBN:
(纸本)9783540731085
there is a growing need for a user-friendly human-computer interaction system that can respond to various characteristics of a user in terms of behavioral patterns, mental state, and personalities. In this paper, we present a system that generates appropriate natural language spoken messages with customization for user characteristics, taking into account the fact that human behavioral patterns usually reveal one's mental state or personality subconsciously. the system is targeted at handling various situations for five-year old kindergarteners by giving them caring words during their everyday lives. Withthe analysis of each case study, we provide a setting for a computational method to identify user behaviroal patterns. We believe that the proposed link between the behavioral patterns and the mental state of a human user can be applied to improve not only user interactivity but also believability of the system.
the proceedings contain 112 papers. the topics discussed include: maritime emergency search and rescue early warning system based on sonar positioning;realization of flexible scaling technology for computing tasks in ...
ISBN:
(纸本)9798350332919
the proceedings contain 112 papers. the topics discussed include: maritime emergency search and rescue early warning system based on sonar positioning;realization of flexible scaling technology for computing tasks in power automation system based on container;multi-body collaborative scheduling strategy based on Bessel Curve and grey wolf algorithm;research and application of distribution network dispatching operation based on digital twinning technology;research and implementation of electric supply reliability evaluation model for distribution network;P2P traffic identification under dual protocol stack based on the C4.5 decision tree algorithm;prediction of coagulant dosage in waterworks based on ensemble learning;improved polar decoder based on modular neural network structure;comparative study of enhanced partial discharge photoelectric sensing technology based on UV fluorescent photoconductor;and big data analysis of digital music resources based on deep learning.
Food computing is currently fast-growing into an innovative area of knowledge extraction. However, benchmarks for information extraction from semi-structured data, especially when dealing with more complex relations, ...
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the proceedings contain 75 papers. the topics discussed include: investigating the effects of introducing nonlinear dynamical processes into digital musical interfaces;Songrium: browsing and listening environment for ...
ISBN:
(纸本)9780992746629
the proceedings contain 75 papers. the topics discussed include: investigating the effects of introducing nonlinear dynamical processes into digital musical interfaces;Songrium: browsing and listening environment for music content creation community;archaeology and virtual acoustics. a pan flute from ancient Egypt;developing mixer-style controllers based on Arduino/teensy micro controllers;crosssong puzzle: generating and unscrambling music mashups with real-time interactivity;voice quality transformation using an extended source-filter speech model;an augmented guitar with active acoustics;synchronizing spatially distributed musical ensembles;a music performance assistance system based on vocal, harmonic, and percussive source separation and content visualization for music audio signals;a score-informed piano tutoring system with mistake detection and score simplification;target-based rhythmic pattern generation and variation with genetic algorithms;a computational model of tonality cognition based on prime factor representation of frequency ratios and its application;and rendering and subjective evaluation of real vs. synthetic vibrotactile cues on a digital piano keyboard.
Audio recorder forensic identification is to determine originating devices of questioned audio recordings. In this paper, statistical features both in time and frequency domains were studied and were used to represent...
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ISBN:
(纸本)9781467390880
Audio recorder forensic identification is to determine originating devices of questioned audio recordings. In this paper, statistical features both in time and frequency domains were studied and were used to represent and encode device-related information. Statistical techniques in fields of machine learning and patternrecognition were utilized to classify computed features into each originating audio recorder. More specifically, features of sampling histogram and spectral mean were extracted from near-silence segments of digital recordings which were recorded by using 21 audio recorders. A support vector machine classifier was used to learn device-related feature patterns upon one half of the complete set of audio samples, and then was evaluated by using the rest of data. the experimental results show a high accuracy of up to 96.72% in the correct classification of the 21 audio recorders. Our paper was the first study which was to study and evaluate the performances of different features for device-related information encoding in a relatively big audio recorder database. the proposed method would offer a practical guide for forensic identification of audio recorders.
In this paper, we propose a method to reduce the difficulties of query caused by lack of information about graph patterns even though the graph pattern is one of the important characteristics of the LOD. To do so, we ...
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ISBN:
(纸本)9783319935546;9783319935539
In this paper, we propose a method to reduce the difficulties of query caused by lack of information about graph patterns even though the graph pattern is one of the important characteristics of the LOD. To do so, we apply the clustering methodology to find the RDF predicates that have similar patterns. In addition, we identify representative graph patterns that imply its characteristics each cluster. the representative graph patterns are used to extend the users' query graphs. To show the difficulties of the query on the LOD, we developed an illustrative example. We propose the novel framework to support query extension using predicate clustering-based entity-centered graph patterns. through the implementation of this framework, the user can easily query the LOD and at the same time collect appropriate query results.
the proceedings contain 10 papers. the special focus in this conference is on Cloud computing and Services Science. the topics include: Evaluating Microservices Communication Relationships for Scheduling Containers on...
ISBN:
(纸本)9783031681646
the proceedings contain 10 papers. the special focus in this conference is on Cloud computing and Services Science. the topics include: Evaluating Microservices Communication Relationships for Scheduling Containers on Kubernetes Clusters;security Evaluation in Software-Defined Networks;a Distributed Tool for Monitoring and Benchmarking a National Federated Cloud;metamodel and Formalization to Model, Transform, Deploy, and Execute Quantum Workflows;Edge AI Deployment and Stream-Based Time Series Classification Within ARthUR;misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments;orchestrating Microservices-Based Applications in the Cloud-to-Edge Continuum;fog-Robotics Infrastructures Simulation-Based Sizing Approach.
the correlogram is an important mid-level representation for periodic sounds which is widely used in sound source separation and pitch detection. However, it is very time consuming. In this paper, we presented a novel...
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ISBN:
(纸本)9781618392701
the correlogram is an important mid-level representation for periodic sounds which is widely used in sound source separation and pitch detection. However, it is very time consuming. In this paper, we presented a novel scheme for monaural voiced speech separation without computing correlograms. the noisy speech is firstly decomposing into time-frequency units. Pitch contour of the target speech is extracted according to the zero crossing rate of the units. then we applied a comb filter to label each unit as target speech or intrusion. Compared with previous correlogram-based method, the proposed algorithm saves computing time and also yields better performance.
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