Primarily due to contractors’ faults, construction industries in Malaysia have been facing problems such as delays, wastages, cost overruns and others. Inability of construction manager (CM) to efficiently manage construction projects is the major contribution to projects’ failure, and the lack of terms of reference on the technical competency for CM are believed to be the major setback. This paper reports the results of a preliminary study which was carried out to identify the technical competencies of CM. Exploratory mixed research methods were selected by employing qualitative and quantitative approaches. Multi-layered thematic analysis was embedded into literature analysis to maintain reliability and then validate through structured interviews. It was found that CM requires several technical competencies including managing staff, materials, labours, plants, sub-contractors, safety, money, quality, time, environment, administration, pre-construction, closeout and handover, responsibility to other parties, computer literacy, and administration of construction contract. Hence, the technical competencies for CM are believed to be exhaustive and holistic in singling out the appropriate technical knowledge and skills, and bring about numerous advantageous towards technically competent CM.
Abstract. It is a common conviction that project management, construction management, and site management are the tools for improving the performance of the construction project as a whole. Notwithstanding the similarities and differences between all of them, construction management which consists of off-site and on-site activities is deemed to have the major influence on the succession of a project. Consequently, a competent construction manager is required throughout the particular phase to shape the construction stability and geared up to complete the proposed development as according to several common objectives. Nonetheless, a competent construction manager will not just appear "out of the blue", they need to be teach, train, and develop in order to equip them with comprehensive competency sets. For that reason, education, training, and continuing professional development (CPD) are in place to provide the required knowledge, skills, and abilities. However, the debates on the inadequacy and problems on current construction management programs are continued to impede Malaysia's construction environment. It has been observed that lack of term of reference on the technical competency for construction manager is became the major setback. Hence, this paper tries to unfold the circumstances by offering a preliminary countermeasure to alleviate the situation through analysis of literatures. It was found that, the associated central phenomenon is believed to be explored holistically with the inclusion of multi layered thematic analysis as a tool to assist the exploration processes. Then, the respective outcomes from the analysis are deemed to be ready for subsequent phases, for instance the validation phase.
The acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or without prior knowledge of wave velocity, have been presented. Several authors have conducted in-depth research in the localization of AE sources. However, existing review papers do not focus on the performance evaluation of existing source localization techniques. This paper discusses these techniques based on the number of sensors used and the geometry of the structures of interest. Furthermore, it evaluates them on the basis of their performance. At the end of this paper, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations. A deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources.
Abstract. Most current attempts to achieve reliable knowledge sharing on a large scale have relied on pre-engineering of content and supply services. This, like traditional knowledge engineering, does not by itself scale to large, open, peer to peer systems because the cost of being precise about the absolute semantics of services and their knowledge rises rapidly as more services participate. We describe how to break out of this deadlock by focusing on semantics related to interaction and using this to avoid dependency on a priori semantic agreement; instead making semantic commitments incrementally at run time. Our method is based on interaction models that are mobile in the sense that they may be transferred to other components, this being a mechanism for service composition and for coalition formation. By shifting the emphasis to interaction (the details of which may be hidden from users) we can obtain knowledge sharing of sufficient quality for sustainable communities of practice without the barrier of complex meta-data provision prior to community formation.
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