30,847 research outputs found
Closing the gap between software engineering education and industrial needs
According to different reports, many recent software engineering graduates
often face difficulties when beginning their professional careers, due to
misalignment of the skills learnt in their university education with what is
needed in industry. To address that need, many studies have been conducted to
align software engineering education with industry needs. To synthesize that
body of knowledge, we present in this paper a systematic literature review
(SLR) which summarizes the findings of 33 studies in this area. By doing a
meta-analysis of all those studies and using data from 12 countries and over
4,000 data points, this study will enable educators and hiring managers to
adapt their education / hiring efforts to best prepare the software engineering
workforce
Collaborative multidisciplinary learning : quantity surveying students’ perspectives
The construction industry is highly fragmented and is known for its adversarial culture, culminating
in poor quality projects not completed on time or within budget. The aim of this study is thus to
guide the design of QS programme curricula in order to help students develop the requisite
knowledge and skills to work more collaboratively in their multi-disciplinary future workplaces.
A qualitative approach was considered appropriate as the authors were concerned with gathering an
initial understanding of what students think of multi-disciplinary learning. The data collection
method used was a questionnaire which was developed by the Behaviours4Collaboration (B4C)
team.
Knowledge gaps were still found across all the key areas where a future QS practitioner needs to be
collaborative (either as a project contributor or as a project leader) despite the need for change
instigated by the multi-disciplinary (BIM) education revolution.
The study concludes that universities will need to be selective in teaching, and innovative in
reorienting, QS education so that a collaborative BIM education can be effected in stages, increasing
in complexity as the students’ technical knowledge grows. This will help students to build the
competencies needed to make them future leaders. It will also support programme currency and
delivery
Winning the Workforce Challenge: A Report on New Jersey's Knowledge Economy
An economic and policy analysis of the New Jersey workforce. The report describes challenges facing workers and policymakers in closing the skills gap, addressing long-term unemployment, ensuring broad-scale economic opportunity, and strengthening government programs
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
Cyber-physical production systems (CPPS) integrate physical and computational
resources due to increasingly available sensors and processing power. This
enables the usage of data, to create additional benefit, such as condition
monitoring or optimization. These capabilities can lead to cognition, such that
the system is able to adapt independently to changing circumstances by learning
from additional sensors information. Developing a reference architecture for
the design of CPPS and standardization of machines and software interfaces is
crucial to enable compatibility of data usage between different machine models
and vendors. This paper analysis existing reference architecture regarding
their cognitive abilities, based on requirements that are derived from three
different use cases. The results from the evaluation of the reference
architectures, which include two instances that stem from the field of
cognitive science, reveal a gap in the applicability of the architectures
regarding the generalizability and the level of abstraction. While reference
architectures from the field of automation are suitable to address use case
specific requirements, and do not address the general requirements, especially
w.r.t. adaptability, the examples from the field of cognitive science are well
usable to reach a high level of adaption and cognition. It is desirable to
merge advantages of both classes of architectures to address challenges in the
field of CPPS in Industrie 4.0
A comparison of processing techniques for producing prototype injection moulding inserts.
This project involves the investigation of processing techniques for producing low-cost moulding inserts used in the particulate injection moulding (PIM) process. Prototype moulds were made from both additive and subtractive processes as well as a combination of the two. The general motivation for this was to reduce the entry cost of users when considering PIM.
PIM cavity inserts were first made by conventional machining from a polymer block using the pocket NC desktop mill. PIM cavity inserts were also made by fused filament deposition modelling using the Tiertime UP plus 3D printer.
The injection moulding trials manifested in surface finish and part removal defects. The feedstock was a titanium metal blend which is brittle in comparison to commodity polymers. That in combination with the mesoscale features, small cross-sections and complex geometries were considered the main problems. For both processing methods, fixes were identified and made to test the theory. These consisted of a blended approach that saw a combination of both the additive and subtractive processes being used.
The parts produced from the three processing methods are investigated and their respective merits and issues are
discussed
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