Search results

This paper aims to give an oversight of what is being done by researchers in GIS and remote sensing (field) to explore minerals. The main objective of this review is to explore how GIS and remote sensing have been beneficial in identifying mineral deposits for easier and cost-effective mining.

The approach of this research used Web of Science to generate a database of published articles on the application of GIS and remote sensing techniques for mineral exploration. The literature was further digested, noting the main findings, adopted method, illustration and research scales.

When applied alone, each technique seems effective, but it is important to know that combining different methods is more effective in identifying ore deposits.

This paper also examined and provided possible solutions to both current and future perspective issues relating to the application of GIS and remote sensing to mineral exploration. The authors believe that the conclusions and recommendations drawn from case studies and literature review will be of great importance to geoscientists and policymakers.

The implications and influence of different cognitive map structures on decision-making, reasoning, predictions about future events, affect, and behavior remain poorly understood. To-date, we have not had the mechanisms to determine whether any measure of cognitive map structure picks up anything more than would be detected on a purely random basis. We report a Monte Carlo method of simulation used to empirically estimate parameterized probability outcomes as a means to better understand the behavior of cognitive map. Using worked examples, we demonstrate how the results of our simulation permit the use of exact statistics which can be applied by hand to an individual map or groups of maps, providing maximum utility for the collective and cumulative process of theory building and testing.

This paper aims to present how iterative round‐trip modelling between two different business process modelling tools can be enabled on a conceptual level. Iterative round‐trip modelling addresses model transformations between high‐level business and executable process models, and how to maintain these transformations in change time. Currently, the development of these process models is supported by different tools. To the authors' best knowledge, no coherent collaborative tool environment exists that supports iterative round‐trip modelling.

This paper is primarily based on a literature review of state‐of‐the‐art business to IT transformations regarding business process modelling. The architecture of integrated information systems (ARIS) and Cordys tools are used as an example case in this research. ARIS is a business process analysis (BPA) tool suited for analyzing and designing business processes, while the execution and monitoring of these processes is allowed by Cordys, a business process management suite (BPMS). The theory is used for transforming between ARIS event‐driven process chains from the business perspective and business process modelling notation in Cordys from the IT perspective.

A conceptual framework is proposed to couple a BPA and BPMS tool for round‐trip business process modelling. The framework utilizes concepts from the model‐driven architecture for structurally addressing interoperability and model transformations. Ensuring iterative development with two tools requires traceability of model transformations.

In many organizations, BPA and BPMS tools are used for business process modelling. These are in practice often two different worlds, while they concern around the same business processes. Maintaining multiple versions of the same process models across two tools is a considerable task, as they often are subject to design changes. Interoperability between a BPA and BPMS tool will minimize redundant activities, and reduce business to IT deployment time.

This research provides a theoretical base for coupling a BPA and BPMS tool regarding iterative round‐trip modelling. It provides an overview of the current state‐of‐the‐art literature of business process modelling transformations, and what is necessary for maintaining interoperability between tools. The findings indicate what is expected in tool support for iterative development in business process modelling from analysis and design to execution.

To date, the brand equity literature has been limited by a gap in the measurement of a key driver of consumer based brand equity (CBBE). The authors ' aim is to address this gap by developing a new, consumer-based measure of brand association strength, a critical element of CBBE.

This paper, based on cognitive psychology, takes a recently developed brand mapping approach and uses its features, along with network analysis measures designed specifically by the authors for this particular analysis, to produce a novel measure of brand association strength.

Traditional network analysis measures (e.g. number of associations, density) neglect to take into account the underlying structure of consumers ' brand associations as reflected in concept maps. The authors use primary research on a well-known brand (McDonald ' s) to show that both number of associations and a modified density measure taking account of the special structure of concept maps can be used to generate an intuitive and readily understood measure of brand association strength.

The paper develops a new measure to analyse brand association strength for any given brand. As such it contributes to the methodological and practical development of the CBBE construct.

This paper aims to inform library professionals on technical issues relating to implementing and using DigiTool, proprietary software by Ex Libris, to develop an institutional repository (IR).

This paper describes Colorado State University Libraries' experience to date in developing an IR using DigiTool. Topics discussed are based on the processes and workflows, and include local customization; metadata and object ingest; implementation of handles; incorporation with web discovery; and management of statistical data.

The DigiTool, a powerful, complex, and relatively mature out‐of‐box IR platform that fulfils one's needs to establish and maintain an IR, is considered.

The experiential information and technical details on implementing and using DigiTool will be valuable to institutions that are interested in adopting this product for a similar purpose.

Seismic vulnerability evaluation of various public structures, especially school buildings, is very crucial for designing hazard mitigation initiatives in seismic prone areas. The city of Mymensingh is at great risk of earthquake because of its geographical location, geological structure and proximity to active faults. The city is famous for its ancient and renowned educational institutes that need to be evaluated for understanding the seismic performance of the building during an earthquake. This study aims to evaluate the seismic vulnerability of educational buildings of Mymensingh city using rapid visual screening (RVS) and index based approach.

RVS procedure includes field survey and secondary source assessment for evaluating structural vulnerability attributes. Analytical hierarchy process is applied to develop an index focusing on systematic attributes of vulnerability based on expert opinions. Then, a composite vulnerability map is developed combining both structural and systematic vulnerability score providing an equal weight.

This study evaluates the seismic vulnerability of 458 educational buildings of Mymensingh city and the result shows that 23.14% educational building has high, 46.29% has moderate and 26.86% has moderately low and only 3.71% buildings has the low seismic vulnerability. This study expected to be helpful in resource targeting and prioritizing seismic hazard mitigation activities for education buildings of Mymensingh city.

This study endeavors to present a comprehensive vulnerability assessment method by integrating RVS and index based approach that incorporates both structural and systematic dimensions of vulnerability. The result is expected to be helpful in the formulation of disaster prevention policy for vulnerable educational buildings and development of the earthquake-resistant building codes for the new building construction in Mymensingh city.

This paper addresses a challenging topic, which in both academic and professional literatures has been widely discussed but mainly from one single angle – that is, how to select foresight methods. From that point of view researchers and consultants promote (even if unintentionally) the use of particular methods. Here the question of selection is raised from a different perspective: how are foresight methods selected?

The guiding “theory” is that a better understanding of the fundamental attributes of foresight methods and their linkages to the core phases of a foresight process, together with the identification of possible patterns in the selection of methods, will provide useful insights as to how the selection of methods is carried out.

So far the selection of foresight methods has been dominated by the intuition, insight, impulsiveness and – sometimes – inexperience or irresponsibility of practitioners and organisers. This paper reveals that the selection of foresight methods (even if not always coherent or systematic) is a multi‐factor process, and needs to be considered as such.

The results can be utilised by lecturers and students to describe and understand better the use of foresight methods, and by organisers of foresight (including practitioners) to better inform decisions during the design of (hopefully) more coherent methodological frameworks.

The paper combines practical concepts and frameworks (such as the Foresight Process and the Foresight Diamond) with innovative analyses to represent and visualise better the combination of methods in 886 case studies, for example introducing the Methods Combination Matrix (MCM) to examine the dynamics of a mix of methods.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

Recent earthquake-induced liquefaction events and associated losses have increased researchers’ interest into liquefaction risk reduction interventions. To the best of the authors’ knowledge, there was no scholarly literature related to an economic appraisal of these risk reduction interventions. The purpose of this paper is to investigate the issues in applying cost–benefit analysis (CBA) principles to the evaluation of technical mitigations to reduce earthquake-induced liquefaction risk.

CBA has been substantially used for risk mitigation option appraisal for a number of hazard threats. Previous literature in the form of systematic reviews, individual research and case studies, together with liquefaction risk and loss modelling literature, was used to develop a theoretical model of CBA for earthquake-induced liquefaction mitigation interventions. The model was tested using a scenario in a two-day workshop.

Because liquefaction risk reduction techniques are relatively new, there is limited damage modelling and cost data available for use within CBAs. As such end users need to make significant assumptions when linking the results of technical investigations of damage to built-asset performance and probabilistic loss modelling resulting in many potential interventions being not cost-effective for low-impact disasters. This study questions whether a probabilistic approach should really be applied to localised rapid onset events like liquefaction, arguing that a deterministic approach for localised knowledge and context would be a better base for the cost-effectiveness mitigation interventions.

This paper makes an original contribution to literature through a critical review of CBA approaches applied to disaster mitigation interventions. Further, this paper identifies challenges and limitations of applying probabilistic based CBA models to localised rapid onset disaster events where human losses are minimal and historic data is sparse; challenging researchers to develop new deterministic based approaches that use localised knowledge and context to evaluate the cost-effectiveness of mitigation interventions.

To report on initial work carried out on a Metadata Options Appraisal undertaken for the Loch Lomond and Trossachs National Park in the context of plans to create and manage complex digital objects called Interpretive Journeys, PDA‐based multimedia guides to Park tours. Design/methodology/approach – After some initial work, a phased approach was adopted. In Phase I (reported here), metadata schema for managing structurally complex digital objects were researched to provide a range of appropriate options. Their characteristics were then matched against the Park's general requirements as determined through discussions with staff and an examination of relevant documentation. Findings – It was determined that the METS metadata schema met Park requirements for managing Interpretive Journeys at a general level and could be used both, to inform the development of the planned Digital Asset Management System (an early priority), and to act as the main basis of a framework for determining a detailed metadata solution for the Park. Research limitations/implications – Further work is required in Phase II to determine the detailed metadata requirement for the Park. Practical implications – A useful guide to dealing with a range of management and metadata issues associated with managing complex digital objects, and to managing projects where guidance on metadata requirements is needed before the objects to be described are available. Originality/value – This paper offers an introduction to the management and metadata issues raised by Interpretive Journeys and digital composites of similar complexity, and an indication of how METS addresses these at a general level.