We present a distributed model-based diagnostics architecture for embedded diagnostics. We extend the traditional model-based definition of diagnosis to a distributed diagnosis definition, in which we have a collection of distributed sub-systems whose interconnectivity is described by a directed graph. Assuming that each sub-system can compute a local minimal diagnosis based only on sensors int...

We propose and evaluate an adaptive approach towards content-based image retrieval (CBIR), which is based on the Ostensive Model of developing information needs. We use ostensive relevance to capture the user’s current need and tailor the retrieval accordingly. Our approach supports content-assisted browsing, by incorporating an adaptive query learning scheme based on implicit user feedback. Te...

With the development of web service application, it is highly desirable to quickly and exactly localize the service faults and explain the faulty reason. In this paper, we propose a log-based diagnosis method (LBD4WS) which combines MBD method with the statistical techniques based on historical data to construct the diagnosis model. LBD4WS localizes the service faults and explains the faulty re...

Researchers examining ‘flaming’ – defined as hostile and aggressive interactions via text-based computer mediatedcommunication – have proposed theoretical frameworks to explain possible causes. However, precise conceptual and operational definitions of ‘flaming’ have yet to be established, which has implications for understanding this phenomenon. Consequently, we propose an interactional– norma...

Model-based design (MBD) has been successfully applied in the automotive, chemical, and aerospace industries. Here we discuss the possible application of engineering-based MBD approaches to drug discovery. One of the biggest challenges in drug discovery is the high attrition rate of new drugs in development: Many promising candidates prove ineffective or toxic in animal or human testing. More o...

Abstract. Identity Based Encryption (IBE) has attracted a lot of attention since the publication of the scheme by Boneh and Franklin. So far, only indistinguishability based security notions have been considered in the literature, and it has not been investigated whether these definitions are appropriate. For this purpose, we define the goals of semantic security and non-malleability for IBE. W...

Reliability and continued use of software components are ongoing issues in pharmaceutical industry. There has been little done to standardize Data Management development processes. The primary goals for Global Integrated DataBase(GIDB) is to reduce or eliminate problems of data definition discrepancies during data management support for clinical trials. Once the work on the front-end is streaml...

Qualitative models are more suitable than classical quantitative models in many tasks like Model-based Diagnosis (MBD), explaining system behavior, and designing novel devices from first principles. Monotonicity is an important feature to leverage when constructing qualitative models. Detecting monotone pieces robustly and efficiently from sensor or simulation data remains an open problem. This...

Computing environments continue to increase in scale, heterogeneity, and hierarchy, with resource usage varying dynamically during program execution. Computational and data grids and distributed collaboration environments are examples. To understand performance and gain insights into developing applications that efficiently use the system resources, performance visualization has proven useful. ...

Critical thinking is closely related to the main objectives in current educational reforms worldwide. It permits to develop cognitive skills of interpretation, analysis, evaluation, inference, explanation, and auto-regulation, which are essential in today’s job market. Critical thinking is being implemented in different e-learning platforms with outstanding results. This paper presents an ontol...