scholarly journals Speech Recognition based Industrial Cloud Robot for Service-Oriented Sustainable Manufacturing

2021 ◽  
Vol 1123 (1) ◽  
pp. 012047
Author(s):  
G Kalaiarassan ◽  
C Franklin Prashanth ◽  
M Prakash ◽  
Shreya Phirke
Keyword(s):  
Speech Recognition ◽  
Sustainable Manufacturing ◽  
Service Oriented ◽  
Industrial Cloud

Industrial Cloud Robotics Towards Sustainable Manufacturing

2016 ◽  
Author(s):  
Jiayi Liu ◽  
Wenjun Xu ◽  
Jiaqiang Zhang ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Energy Consumption ◽  
Sustainable Manufacturing ◽  
Industrial Robots ◽  
Production Costs ◽  
Pollutant Emissions ◽  
Actual Problem ◽  
Cloud Robotics ◽  
Stage Of Development ◽  
Energy Consumption Optimization ◽  
Industrial Cloud

Cloud Robotics (CR) is the combination of Cloud Computing and Robotics, which encapsulate resources related with robots as services and is also the robotics’ next stage of development. Under this background, due to the characteristics of convenient access, resource sharing and lower costs, industrial cloud robotics (ICR) is proposed to integrate the industrial robots resources in the worldwide to provide ICR services in worldwide. ICR also plays an important role in improving the productivity of manufacturing. In the manufacturing field, Cloud Manufacturing (CM) and Sustainable Manufacturing (SM) is the developing orientation of future manufacturing industry. The energy consumption optimization of ICR is the crucial issue for manufacturing sustainability. However, currently, ICR systems are not programmed efficiently, which leads to the increase of production costs and pollutant emissions. Thus, it is an actual problem to optimize the energy consumption of ICR. In this paper, in order to achieve the goal of energy consumption optimization in worldwide range, the framework of ICR towards sustainable manufacturing is presented, as well as its enabling methodologies, and it is used to support energy consumption optimization services of ICR in the Cloud environment. This framework can be used to support energy-efficient services related with ICR to realize sustainable manufacturing in the worldwide range.

scholarly journals Dynamic Assessment of Sustainable Manufacturing Capability Based on Correlation Relationship for Industrial Cloud Robotics

2021 ◽  
Author(s):  
Sisi Tian ◽  
Xiaotong Xie ◽  
Wenjun Xu ◽  
Jiayi Liu ◽  
Xiaomei Zhang
Keyword(s):  
Dynamic Assessment ◽  
Sustainable Manufacturing ◽  
Indicator System ◽  
Assessment Model ◽  
Correlation Model ◽  
Correlation Relationship ◽  
Cloud Robotics ◽  
Manufacturing Capability ◽  
Service Correlation ◽  
Industrial Cloud

Abstract The industrial cloud robotics (ICRs) integrates distributed industrial robot resources in various places to support complex task processing for multi-resource service requirements, and manufacturing capability assessment is the key link in determining the optimal service composition to realize the value-added of ICRs resources. However, the traditional evaluation method ignores the positive and negative cooperative effects of the manufacturing capability correlation among the robot individuals on the overall manufacturing capability of the ICRs composition. In addition, the problems of excessive resource consumption and serious environmental pollution in the manufacturing industry are becoming increasingly serious. The paper proposes a dynamic assessment method of sustainable manufacturing capability for ICRs based on the correlation relationship to solve above problems. Firstly, an extensible multi-dimensional indicator system of sustainable manufacturing capability is constructed. Then, multiple composition correlation relationships among ICRs are analyzed to establish the correlation assessment model. Furthermore, a set of dynamic evaluation methods is proposed, in which the evaluation indicators raw data is processed based on the service correlation model and the traditional network analytic network process method is improved based on the data correlation model. Finally, a case study is implemented to show the reasonability and effectiveness of the proposed method in assessment of sustainable manufacturing capability for ICRs.

Cloud Manufacturing in Support of Sustainability

2014 ◽  
Author(s):  
Xi Vincent Wang ◽  
Xun Xu
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Service Oriented Architecture ◽  
Sustainable Manufacturing ◽  
Strong Support ◽  
Cloud Manufacturing ◽  
Intelligent Manufacturing ◽  
New Paradigm ◽  
Service Oriented ◽  
Manufacturing Network

In a modern manufacturing business, collaborations not only exist among its own departments, but also among business partners. Cloud Manufacturing can assist this type of collaborations. As a new paradigm of manufacturing network, Cloud Manufacturing combines Cloud Computing with networked manufacturing under service-oriented architecture. It is set to fundamentally change how products are designed, manufactured, shipped and maintained. Besides the support to collaborative and intelligent manufacturing processes, it is also possible to realize sustainability in the Cloud Manufacturing paradigm. In this paper, recent Cloud Manufacturing approaches are discussed from the sustainable manufacturing perspective. The major difference between Cloud Manufacturing and web-based manufacturing systems are specifically discussed. Cloud-based methods are analyzed to support reasonable and logic strategies. It is believed that Cloud Manufacturing can provide a strong support to the manufacturing industry, in particular for sustainability.

Selecting the Optimal FM System for Children With Cochlear Implants

2008 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Erin C. Schafer
Keyword(s):  
Speech Recognition ◽  
Cochlear Implants ◽  
Empirical Research ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Evidence Based ◽  
Signal To Noise ◽  
Speech Processor ◽  
System Input ◽  
Optimal Type

Children who use cochlear implants experience significant difficulty hearing speech in the presence of background noise, such as in the classroom. To address these difficulties, audiologists often recommend frequency-modulated (FM) systems for children with cochlear implants. The purpose of this article is to examine current empirical research in the area of FM systems and cochlear implants. Discussion topics will include selecting the optimal type of FM receiver, benefits of binaural FM-system input, importance of DAI receiver-gain settings, and effects of speech-processor programming on speech recognition. FM systems significantly improve the signal-to-noise ratio at the child's ear through the use of three types of FM receivers: mounted speakers, desktop speakers, or direct-audio input (DAI). This discussion will aid audiologists in making evidence-based recommendations for children using cochlear implants and FM systems.

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