scholarly journals High-level model based calibration technique design for SAR ADC

2020 ◽  
pp. 114-119
Author(s):  
M.N. Skripnichenko ◽  
◽  
Keyword(s):  
Sar Adc ◽  
Calibration Technique ◽  
Model Based ◽  
Level Model ◽  
High Level

A High Level Model of a Conscious Embodied Agent

2010 ◽  
Vol 2 (3) ◽  
pp. 62-78 ◽  
Author(s):  
Jirí Wiedermann
Keyword(s):  
Cognitive Functions ◽  
Mirror Neurons ◽  
Semantic Knowledge ◽  
Neural Nets ◽  
Imitation Learning ◽  
Model Based ◽  
Level Model ◽  
Higher Cognitive Functions ◽  
High Level ◽  
Embodied Agent

In this paper, the author describes a simple yet cognitively powerful architecture of an embodied conscious agent. The architecture incorporates a mechanism for mining, representing, processing and exploiting semantic knowledge. This mechanism is based on two complementary internal world models which are built automatically. One model (based on artificial mirror neurons) is used for mining and capturing the syntax of the recognized part of the environment while the second one (based on neural nets) for its semantics. Jointly, the models support algorithmic processes underlying phenomena similar in important aspects to higher cognitive functions such as imitation learning and the development of communication, language, thinking, and consciousness.

Model Based Monitoring and Controlling for Platform-as-a-Service (PaaS)

2012 ◽  
Vol 2 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Jin Shao ◽  
Qianxiang Wang ◽  
Hong Mei
Keyword(s):  
Cloud Service ◽  
Quality Of Services ◽  
Meta Model ◽  
Platform As A Service ◽  
Low Level ◽  
Model Based ◽  
Level Model ◽  
High Level ◽  
Service Paradigm

Platform as a Service (PaaS) is a typical cloud service paradigm that allows PaaS consumers to deploy and manage applications (usually services to SaaS consumers). To ensure the quality of services to both PaaS consumers and SaaS consumers, PaaS must be equipped with enough monitoring and controlling ability to make runtime adjustment actions. Although most of the components in PaaS have provided their own management interface, it is hard to perform adjustment actions based on raw runtime data collected from these low level management interfaces due to the diversity and dynamics of components in PaaS. This paper proposes a model based monitoring and controlling approach for PaaS. The proposed approach masks the underlying heterogeneity of components in PaaS and presents a high level model for monitoring and controlling. The model is instantiated automatically based on pre-defined meta-model, which effectively reduces the development efforts. A monitoring and controlling framework based on this approach is designed and implemented in a practical PaaS, which shows the feasibility of the proposed approach.

A High Level Model of a Conscious Embodied Agent

2012 ◽  
pp. 65-82
Author(s):  
Jirí Wiedermann
Keyword(s):  
Cognitive Functions ◽  
Mirror Neurons ◽  
Semantic Knowledge ◽  
Neural Nets ◽  
Imitation Learning ◽  
Model Based ◽  
Level Model ◽  
Higher Cognitive Functions ◽  
High Level ◽  
Embodied Agent

In this paper, the author describes a simple yet cognitively powerful architecture of an embodied conscious agent. The architecture incorporates a mechanism for mining, representing, processing and exploiting semantic knowledge. This mechanism is based on two complementary internal world models which are built automatically. One model (based on artificial mirror neurons) is used for mining and capturing the syntax of the recognized part of the environment while the second one (based on neural nets) for its semantics. Jointly, the models support algorithmic processes underlying phenomena similar in important aspects to higher cognitive functions such as imitation learning and the development of communication, language, thinking, and consciousness.

Modeling and design of role engineering in development of access control for dynamic information systems

2013 ◽  
Vol 61 (3) ◽  
pp. 569-579 ◽  
Author(s):  
A. Poniszewska-Marańda
Keyword(s):  
Information Systems ◽  
Dynamic Information ◽  
Minimal Set ◽  
Distributed Information ◽  
Heterogeneous Information ◽  
System Protection ◽  
Level Model ◽  
Model Independent ◽  
Role Concept ◽  
High Level

Abstract Nowadays, the growth and complexity of functionalities of current information systems, especially dynamic, distributed and heterogeneous information systems, makes the design and creation of such systems a difficult task and at the same time, strategic for businesses. A very important stage of data protection in an information system is the creation of a high level model, independent of the software, satisfying the needs of system protection and security. The process of role engineering, i.e. the identification of roles and setting up in an organization is a complex task. The paper presents the modeling and design stages in the process of role engineering in the aspect of security schema development for information systems, in particular for dynamic, distributed information systems, based on the role concept and the usage concept. Such a schema is created first of all during the design phase of a system. Two actors should cooperate with each other in this creation process, the application developer and the security administrator, to determine the minimal set of user’s roles in agreement with the security constraints that guarantee the global security coherence of the system.

scholarly journals Dynamic modelling of a servo self-pierce riveting (SPR) process

2021 ◽  
pp. 095440542110374
Author(s):  
Daniel Tang ◽  
Mike Evans ◽  
Paul Briskham ◽  
Luca Susmel ◽  
Neil Sims
Keyword(s):  
Dynamic Modelling ◽  
System Level ◽  
Optimum Process ◽  
Current Limit ◽  
Level Model ◽  
System Level Model ◽  
Head Height ◽  
Extensive Experimental Data ◽  
High Level

Self-pierce riveting (SPR) is a complex joining process where multiple layers of material are joined by creating a mechanical interlock via the simultaneous deformation of the inserted rivet and surrounding material. Due to the large number of variables which influence the resulting joint, finding the optimum process parameters has traditionally posed a challenge in the design of the process. Furthermore, there is a gap in knowledge regarding how changes made to the system may affect the produced joint. In this paper, a new system-level model of an inertia-based SPR system is proposed, consisting of a physics-based model of the riveting machine and an empirically-derived model of the joint. Model predictions are validated against extensive experimental data for multiple sets of input conditions, defined by the setting velocity, motor current limit and support frame type. The dynamics of the system and resulting head height of the joint are predicted to a high level of accuracy. Via a model-based case study, changes to the system are identified, which enable either the cycle time or energy consumption to be substantially reduced without compromising the overall quality of the produced joint. The predictive capabilities of the model may be leveraged to reduce the costs involved in the design and validation of SPR systems and processes.

scholarly journals Affective-Model Based High-Level Controller for Human-Robot Applications

2012 ◽  
Vol 41 ◽  
pp. 812-818
Author(s):  
Shahrul Nairn Sidek ◽  
Elliana Ismaif ◽  
Nor Anija Jalaludin
Keyword(s):  
Model Based ◽  
High Level
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