6 research outputs found
Dynamic AGV routing depending on sensor-based collision avoidance: A case for the light metal and forging industry
No full textAGVs have seen an upward trend in development over the last 60 years. The technology has developed from mechanical bumpers and guided wire navigation to contactless sensors and free navigation technique in the current age. Further, the control on AGVs has moved from central control system to local intelligence which opens up various possibilities with respect to operations as well as applications. The growing trend of AGVs has been due to the sudden growth in digital technology and the ever-increasing demand to reduce human intervention in operations. This has resulted in increased research regarding the implementation of intelligent AGVs in areas of application that have not yet been explored, namely, light metal and forging industry. The major reasons for indulging in autonomous equipment are, increased productivity, reliability and safety since human involvement is either eliminated or largely reduced. However, a major share of the research about intelligent AGVs has been confined to warehouses and port logistics. Therefore, through this research, another area of application is investigated, namely, the light metal and forging industry, and more specifically, the potroom of an aluminium smelter. Hence, the objective of the research is as stated: With the introduction of intelligent AGVs, stochastic behavior needs to be addressed, that is, how would these AGVs react to disturbances created by such random human behaviour and process interference? Therefore, the research focusses on the routing problem in such situations which are dynamic in nature. The research aims to provide a planning approach in terms of dynamic AGV routing under the assistance of a sensor based system that can detect obstacles. The dynamic re-routing of AGVs is addressed using a mathematical formulation as well as a graphical representation. In order to solve the problem at hand, the graphical approach is followed and the objective has been simplified for research purposes. It is simplified as: For instance, if a certain pathway is blocked in the potroom of an aluminium smelter due to such stochastic behavior, how would the AGV find the optimal path? An algorithm is devised in order to answer the above research question and further implemented in Python. Various scenarios of stochastic disturbances is analysed and evaluated accordingly. Therefore, this research develops an algorithm and a subsequent model that is implemented using Python which is used to evaluate the routing of an AGV in the presence of stochastic behavior. It acts as a proof of concept for the problem at hand as it restricts the work to a simplified situation of a single AGV operation. Although this research uses the case of a light metal and forging industry, the same can be applied to industries with similar challenges such as, cement industry, power generation industry, aerospace, construction and so on. Cement, construction and power generation industry deal with environments similar to the light metal and forging industry. Further, in all these application areas, the use of AGVs for material handling would improve productivity and reliability, while improving safety of operations as well. This research focuses on a simplified situation, however, the basis of this work can be further extended to solve a more detailed real world scenario with a fleet of AGVs, and this can be done by the use of advanced heuristics.Marine Technology | Transport Engineering and Logistic
E-learning for disability: creation, assessment, and implementation
No full textThis paper presents the design and delivery of X-Leksia: a multimedia courseware to aid basic reading skills in Malay language among the pre-school dyslexics. The courseware has been developed based on multi-sensory teaching approach. It supports the visual, auditory, kinaesthetic elements via multimedia and “learn by doing” exercises that will reinforce each other for optimal learning. The courseware has undergone both formative and summative evaluation with dyslexics
and subject matter experts from Dyslexia Association of Wilayah Persekutuan, Kuala Lumpur. The evaluation procedure, criteria and results are presented in this paper. As a result of completing the evaluation procedure, the author found that X-Leksia’s approach was well received by the children and teachers alike although there is still room for improvement. The courseware is hoped to contribute a significant idea to the development of technology in Malay language education for preschool dyslexics in Malaysia
E-Learning for Disability: Creation, Assessment, and Implementation
No full textThis paper presents the design and delivery of X-leksia: a multimedia courseware to aid
basic reading skills in Malay language among the pre-school dyslexics. The courseware has been
developed based on multi-sensory teaching approach. It supports the visual, auditory, kinaesthetic
elements via multimedia and “learn by doing” exercises that will reinforce each other for optimal
learning. The courseware has undergone both formative and summative evaluation with dyslexics
and subject matter experts from Dyslexia Association of Wilayah Persekutuan, Kuala Lumpur. The
evaluation procedure, criteria and results are presented in this paper. As a result of completing the
evaluation procedure, the author found that X-leksia’s approach was well received by the children
and teachers alike although there is still room for improvement. The courseware is hoped to
contribute a significant idea to the development of technology in Malay language education for preschool
dyslexics in Malaysia
A Research Graph dataset for connecting research data repositories using RD-Switchboard
No full textThis paper describes the open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures. The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-Authorship or jointly funded grants. The graph dataset allows researchers to trace and follow the paths to understanding a body of work. By mapping the links between research datasets and related resources, the graph dataset improves both their discovery and visibility, while avoiding duplicate efforts in data creation. Ultimately, the linked datasets may spur novel ideas, facilitate reproducibility and re-use in new applications, stimulate combinatorial creativity, and foster collaborations across institutions. © The Author(s) 2018
Land-use emissions play a critical role in landbased mitigation for Paris climate targets
No full textScenarios that limit global warming to below 2 °C by 2100 assume significant land-use
change to support large-scale carbon dioxide (CO2) removal from the atmosphere by
afforestation/reforestation, avoided deforestation, and Biomass Energy with Carbon Capture
and Storage (BECCS). The more ambitious mitigation scenarios require even greater land
area for mitigation and/or earlier adoption of CO2 removal strategies. Here we show that
additional land-use change to meet a 1.5 °C climate change target could result in net losses of
carbon from the land. The effectiveness of BECCS strongly depends on several assumptions
related to the choice of biomass, the fate of initial above ground biomass, and the fossil-fuel
emissions offset in the energy system. Depending on these factors, carbon removed from the
atmosphere through BECCS could easily be offset by losses due to land-use change. If BECCS
involves replacing high-carbon content ecosystems with crops, then forest-based mitigation
could be more efficient for atmospheric CO2 removal than BECCS
