Combined Deep and Shallow Knowledge in a Unified Model for Diagnosis by Abduction

Fault Diagnosis in real systems usually involves human expert’s shallow knowledge (as pattern causes-effects) but also deep knowledge (as structural / functional modularization and models on behavior). The paper proposes a unified approach on diagnosis by abduction based on plausibility and relevance criteria multiple applied, in a connectionist implementation. Then, it focuses elicitation of deep knowledge on target conductive flow systems – most encountered in industry and not only, in the aim of fault diagnosis. Finally, the paper gives hints on design and building of diagnosis system by abduction, embedding deep and shallow knowledge (according to case) and performing hierarchical fault isolation, along with a case study on a hydraulic installation in a rolling mill plant.Faulty Diagnosis, abduction, plausibility criteria, relevant criterion

Tailored virtual reality and mobile application for motor rehabilitation

The present work presents a measurement system and methodology for hand and finger motor rehabilitation. The interaction with serious games developed in Unity 3D game engine is performed using a natural user interface based on Leap Motion Controller. The storage and management of data related to patient identification, established training plans and training results in LeaPhysio system, is realized in a client server architecture. The stored information can be accessed through a developed LeaPhysio App for Android OS platform, which also allows configuration of training plan by a therapist. Different metrics were included in the measurement system to provide to users the possibility to evaluate in an objective way the motor rehabilitation. The tests have shown that the developed system can provide accurate data on hand and finger movements in a meaningful and motivating exercise environment.info:eu-repo/semantics/acceptedVersio

COMBINED DEEP AND SHALLOW KNOWLEDGE IN A UNIFIED MODEL FOR DIAGNOSIS BY ABDUCTION

Fault Diagnosis in real systems usually involves human expert’s shallow knowledge (as pattern causes-effects) but also deep knowledge (as structural / functional modularization and models on behavior). The paper proposes a unified approach on diagnosis by abduction based on plausibility and relevance criteria multiple applied, in a connectionist implementation. Then, it focuses elicitation of deep knowledge on target conductive flow systems – most encountered in industry and not only, in the aim of fault diagnosis. Finally, the paper gives hints on design and building of diagnosis system by abduction, embedding deep and shallow knowledge (according to case) and performing hierarchical fault isolation, along with a case study on a hydraulic installation in a rolling mill plant.shallow knowledge, diagnosis, flow systems

Minimization of Vectors of Curvilinear Functionals on Second-Order Jet Bundle: Dual Program Theory

A previous paper (2011), Pitea and Postolache, considered the problem of minimization of vectors of curvilinear functionals (well known as mechanical work), thought as multitime multiobjective variational problem, subject to PDE and/or PDI constraints. They have chosen the suitable framework offered by the second-order jet bundle, and initiated an optimization theory for this class of problems by introducing necessary conditions. As natural continuation of these results, the present work introduces a dual program theory, the general setting, and the theory which is new as a whole, containing our results

Wrist and hand rehabilitation software platform based on leap motion controller

A software platform based on Leap Motion Controller (LMC) movements’ detection was developed. It allows measurements of clinically proved effective hand and finger exercises. The developed software allows representation of amplitude of each different movement, time interval for each movement, frequency of different movements, asymmetry of bilateral movements, standard deviation of signal amplitude, Poincaré plots. A serious game Collect Color Cube, was developed using Unity, C# scrips, and signals from LMC related to movements of the user’s hands and fingers.info:eu-repo/semantics/publishedVersio

Virtual infrastructure approach for SADU implementation

This paper proposes a new way of structuring the virtual infrastructure in terms of knowledge acquisition for SADU implementation. Through virtualization, the hardware infrastructure becomes a service, virtual machines become predominant within the infrastructure and their way of functioning can be affected by certain malfunctions. SADU supports human diagnostician in order to provide possible solutions to the raised issues. A virtualized IT infrastructure consists of layers that virtualized the used hardware components. Based on layers membership we propose a new approach to structuring the virtual infrastructure. This approach has fundamentally changed the architecture at the layer levels, increasing the security and availability of resources. Grouping layers depending on membership or type (hardware, virtual infrastructure, software) around the concept of stack led to a separation of intelligent agents’ responsibility for knowledge acquisition and fault diagnosis, allowing a better understanding of the field, reflected by developing a new ontology

Framework on Economical Implication and Issues of SADU Implementation

Due to software which plays an increasingly role in everyday life, interaction betweenhumans and computers will increase in importance; therefore, the ability to support interactions forefficient re-use of experience is a major challenge for systems in the future. Trace Based Reasoningwill have a significant impact on applications sharing experience, when they are based on the web inparticular, since traces allow us to imagine several ways of interaction in systems and to combinemultiple modes of interaction in a single system. In the conducted study we aimed at developing anAssist System of Human Diagnostician (SADU), meaning that this system will have the humanknowledge and then information retrieved by interaction with humans at the SADU request