Expert system for analysis of casting defects - ESVOD

The powerful tool for defect analysis is an expert system. It is a computer programme based on the knowledge of experts for solving the quality of castings. We present the expert system developed in the VSB-Technical University of Ostrava called 'ESWOD'. The ESWOD programme consists of three separate modules: identification, diagnosis / causes and prevention / remedy. The identification of casting defects in the actual form of the system is based on their visual aspect.Web of Science151201

Visual Management in Brazilian Construction Companies: Taxonomy and Guidelines for Implementation

Visual management (VM) is the managerial strategy of consciously integrating visual tools in workspaces with the aim of increasing transparency on construction sites. Several VM tools and approaches that had been originally developed in the manufacturing context were implemented in construction. However, research on the application of VM in construction as a managerial strategy is scarce. This paper aims to investigate and classify the types of visual devices that can be used in construction sites through multiple case studies carried out in nine construction companies actively implementing VM. It also discusses strategies for the implementation of VM in construction. The main contributions of this investigation are: (1) a VM tools taxonomy that can be used to identify VM application opportunities, providing a basis for evaluating the level of VM implementation in construction; and (2) identification of critical factors for the implementation and various features of the VM strategy in construction

Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach

Intelligent assistants are handling increasingly critical tasks, but until now, end users have had no way to systematically assess where their assistants make mistakes. For some intelligent assistants, this is a serious problem: if the assistant is doing work that is important, such as assisting with qualitative research or monitoring an elderly parent’s safety, the user may pay a high cost for unnoticed mistakes. This paper addresses the problem with WYSIWYT/ML (What You See Is What You Test for Machine Learning), a human/computer partnership that enables end users to systematically test intelligent assistants. Our empirical evaluation shows that WYSIWYT/ML helped end users find assistants’ mistakes significantly more effectively than ad hoc testing. Not only did it allow users to assess an assistant’s work on an average of 117 predictions in only 10 minutes, it also scaled to a much larger data set, assessing an assistant’s work on 623 out of 1,448 predictions using only the users’ original 10 minutes’ testing effort

Troping the Enemy: Metaphor, Culture, and the Big Data Black Boxes of National Security

This article considers how cultural understanding is being brought into the work of the Intelligence Advanced Research Projects Activity (IARPA), through an analysis of its Metaphor program. It examines the type of social science underwriting this program, unpacks implications of the agency’s conception of metaphor for understanding so-called cultures of interest, and compares IARPA’s to competing accounts of how metaphor works to create cultural meaning. The article highlights some risks posed by key deficits in the Intelligence Community\u27s (IC) approach to culture, which relies on the cognitive linguistic theories of George Lakoff and colleagues. It also explores the problem of the opacity of these risks for analysts, even as such predictive cultural analytics are becoming a part of intelligence forecasting. This article examines the problem of information secrecy in two ways, by unpacking the opacity of “black box,” algorithm-based social science of culture for end users with little appreciation of their potential biases, and by evaluating the IC\u27s nontransparent approach to foreign cultures, as it underwrites national security assessments

A HCI principles based framework to assess the user perception of web based Virtual Research Environments. Special issue on Capacity building for post disaster infrastructure development and management

Due to various challenges and opportunities such as globalisation of research agenda and advancements in information and communication technologies, research collaborations (both international and national) have become popular during the last decade more than ever before. Within this context, the concept of Virtual Research environments(VRE) is an emerging concept looking at addressing the complex challenges associated with conducting collaborative research. Even though concept of VRE is at its infancy, it is important to assess user perception about those, both to establish its success of uptake and future development strategies. However, to date, there is no formal method established to evaluate VREs .This paper reports a strategy adopted within an international collaborative research project (EURASIA) to evaluate its custom built VRE, VEBER, using the well known Computer Human Interaction principles

Requirements for software engineering languages

This paper analyzes the concepts of software construction embodied in the Draco system. The analysis relates specific mechanisms in Draco to particular software engineering (SE) principles and suggests future research needed to extend the approach. The purpose of the analysis is to help researchers understand Draco better and thus be able to direct in productive directions future research on this type of software engineering tool