scholarly journals A Natural Language Control System for Application Specific Robots

2017 ◽  
Vol 176 (2) ◽  
pp. 18-21
Author(s):  
Yash Jajoo ◽  
Rutvij Supekar ◽  
Arrush Hegde
Keyword(s):  
Control System ◽  
Natural Language ◽  
Language Control ◽  
Application Specific

scholarly journals SPEECH RECOGNITION BASED EMBEDDED CONTROL SYSTEM

2014 ◽  
pp. 8-14
Author(s):  
PARVEZ HASAN ◽  
V. K. JOSEPH
Keyword(s):  
Control System ◽  
User Interface ◽  
Speech Recognition ◽  
Natural Language ◽  
Embedded System ◽  
Voice Recognition ◽  
Test Plan ◽  
Embedded Control ◽  
Novice User ◽  
Embedded Control System

The purpose of this project is to operate or control Embedded system based on voice recognition, which helps to introduce hearing as well as Natural Language (NL) interface through Speech for the Human-Embedded system interaction. One of the important goals of pursued project is to introduce suitable user interface for novice user and the test plan is to design accordingly.

Natural Language Processing Techniques in Requirements Engineering

2011 ◽  
pp. 21-33 ◽  
Author(s):  
A. Egemen Yilmaz ◽  
I. Berk Yilmaz
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Knowledge Bases ◽  
Syntactic Analysis ◽  
Requirement Analysis ◽  
Specific Knowledge ◽  
Crucial Step ◽  
Development Processes ◽  
Processing Techniques ◽  
Application Specific

Requirement analysis is the very first and crucial step in the software development processes. Stating the requirements in a clear manner, not only eases the following steps in the process, but also reduces the number of potential errors. In this chapter, techniques for the improvement of the requirements expressed in the natural language are revisited. These techniques try to check the requirement quality attributes via lexical and syntactic analysis methods sometimes with generic, and sometimes domain and application specific knowledge bases.

Multi-Purpose Model of SOFC Hybrid Systems

2008 ◽  
Author(s):  
Francesco Ghigliazza ◽  
Alberto Traverso ◽  
Mario L. Ferrari ◽  
John Wingate
Keyword(s):  
Control System ◽  
Real Time ◽  
Hybrid System ◽  
Dynamic Modelling ◽  
Control System Design ◽  
New Approach ◽  
System A ◽  
And Control ◽  
Direct Use ◽  
Application Specific

The Multi-Purpose Model represents a new methodology for developing model based tools for control system design and verification. The Multi-Purpose Model, as described in this paper, simulates a SOFC hybrid system — a challenging and innovative application of dynamic modelling and control. Real-time modelling is a recognised approach to monitor advanced systems and to improve control capabilities. Applications of Real-Time (RT) models are commonly used in the automotive and aerospace fields. Starting from existing TRANSEO components and models, a new approach to fit hybrid system application has been developed. Original C-based models have been translated into embedded Matlab functions for direct use within Matlab-Simulink. The resulting models have then been used to autogenerate c-code with the Real-Time Workshop. The C-code has then been compiled to produce application specific executables.

scholarly journals Inhibitory control training reveals a common neurofunctional basis for generic executive functions and language switching in bilinguals

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yan Jing Wu ◽  
Mo Chen ◽  
Guillaume Thierry ◽  
Yongben Fu ◽  
Junjie Wu ◽  
...  
Keyword(s):  
Control System ◽  
Executive Functions ◽  
Inhibitory Control ◽  
Transfer Effect ◽  
Control Group ◽  
Lexical Selection ◽  
Language Switching ◽  
Left Caudate ◽  
Language Control ◽  
Switching Task

Abstract Background The neural networks underpinning language control and domain-general executive functions overlap in bilinguals, but existing evidence is mainly correlative. Here, we present the first neurofunctional evidence for a transfer effect between (domain-general) inhibitory control and language control through training. We trained Chinese–English bilinguals for 8 days using a Simon task taxing the inhibitory control system, whilst an active control group was trained with a color judgment task that does not tax the inhibitory control system. All participants performed a language-switching task before and after training. It has been suggested that the activity of the left DLPFC was associated with domain-general top-down cognitive control (Macdonald et al. Science 288: 1835–1838, 2000) and bilingual language control (Wang et al. Neuroimage 35: 862–870, 2007). In addition, the dACC was closely related to the conflict detection (Abutalebi et al. Cereb Cortex 18:1496–1505, 2008). Last, the activity of the left caudate has been linked with lexical selection (Abutalebi et al. Cereb Cortex 18:1496–1505, 2008), especially the selection of the weak language (Abutalebi et al. Cortex 49: 905–911, 2013). Therefore, we focused on these three regions of interest (ROIs) where neural changes associated with transfer were expected to occur. Results The results showed a negative correlation between changes in activation levels in the left dorsolateral prefrontal cortex (DLPFC) and changes in the switch cost magnitude in the language-switching task in the training group but not in the control group, suggesting that the DLPFC plays a critical role in the transfer effect from domain-general executive functions to language control. However, there was no measurable effect in the anterior cingulate cortex or left caudate nucleus, suggesting that the inhibitory control training increased the neural efficiency for language production in bilinguals in terms of attention shifting and conflict resolution, but the training did not affect conflict detection and lexical selection. Conclusion These findings showed how cognitive training evidence can help establish a causational link between the neural basis of domain-general executive functions and language control in bilinguals.

Natural Language Processing Techniques in Requirements Engineering

2012 ◽  
pp. 533-545
Author(s):  
A. Egemen Yilmaz ◽  
I. Berk Yilmaz
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Knowledge Bases ◽  
Syntactic Analysis ◽  
Requirement Analysis ◽  
Specific Knowledge ◽  
Crucial Step ◽  
Development Processes ◽  
Processing Techniques ◽  
Application Specific

Requirement analysis is the very first and crucial step in the software development processes. Stating the requirements in a clear manner, not only eases the following steps in the process, but also reduces the number of potential errors. In this chapter, techniques for the improvement of the requirements expressed in the natural language are revisited. These techniques try to check the requirement quality attributes via lexical and syntactic analysis methods sometimes with generic, and sometimes domain and application specific knowledge bases.

scholarly journals On the flexibility of bilingual language control: The effect of language context

2018 ◽  
Vol 22 (3) ◽  
pp. 555-568 ◽  
Author(s):  
KALINKA TIMMER ◽  
INGRID K. CHRISTOFFELS ◽  
ALBERT COSTA
Keyword(s):  
Control System ◽  
Inhibitory Control ◽  
Linguistic Context ◽  
Dominant Language ◽  
Switch Costs ◽  
Switching Patterns ◽  
Language Control ◽  
Language Context ◽  
Naming Latencies ◽  
The Way

How flexible is bilingual language control and how does it adapt to the linguistic context of a conversation? We address this by looking at the pattern of switch costs in contexts involving mostly the use of a dominant or non-dominant language. This linguistic context affected switching patterns: switching was equally costly for both languages in a dominant (L1) context, while switching was harder for the weaker language in the non-dominant (L2) context. Also, naming latencies for each language were affected by the linguistic contexts: only the dominant L1 context led to slower latencies for the dominant language. This latter finding was also present when looking at the LPC component, which may reveal differences in the way inhibitory control is applied depending on the linguistic context. These results reveal that the bilingual language control system is flexible and that it adapts to the linguistic context in which the speaker is placed.

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