the purpose of this paper is a brief review of tools for parallel computing implemented in the current version of the Julia Language. Julia is a young promising language designed for scientific programming. Before des...
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this paper presents the results of human subject experiments focusing on the role of decision rules in the study of flexibility and real options analysis (ROA) in design and management of complex engineering systems. ...
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ISBN:
(纸本)9783319491035;9783319491028
this paper presents the results of human subject experiments focusing on the role of decision rules in the study of flexibility and real options analysis (ROA) in design and management of complex engineering systems. Decision rules are heuristics-based triggering mechanisms that help determine the ideal conditions for exercising flexibility in system operations. In contrast to standard ROA based on dynamic programming, decision rules can be parameterized as decision variables, and therefore capture the decision-making process based on specific realizations of the main uncertainty drivers affecting system performance. Similar to standard ROA, a decision rule approach can be used to quantify the benefits of flexibility in early conceptual design studies, and help identifying the best flexible systems design concepts before a more detailed design phase. While many studies demonstrate expected lifecycle performance improvement stemming from a decision-rule based approach as compared to standard design and ROA techniques, very few studies show experimentally their effectiveness in managing flexible engineering systems. this paper presents the results of controlled human-subject experiments involving thirty-two participants evaluating a training procedure in a simulation game environment. the controlled study show that a stochastically optimal flexible strategy combined with an initial policy for the system configuration can improve significantly the expected coverage rate of medical emergencies. these provide insights for further research, development and evaluation of flexible systems design and management strategies for complex engineering systems.
Severe plastic deformation (SPD) has arguably been the most effective top-down approach to producing bulk nanostructured materials from more conventional, coarse-grained ones. During SPD processing, a giant shear defo...
Severe plastic deformation (SPD) has arguably been the most effective top-down approach to producing bulk nanostructured materials from more conventional, coarse-grained ones. During SPD processing, a giant shear deformation of a material is combined with very high hydrostatic pressure to produce ultrafine (< 1 μm) or nanocrystalline (< 100 nm) grain structure. Despite the huge strain involved, popular SPD techniques practically do not change the dimensions of a work-piece, which makes them very attractive for future industry-scale applications. By appropriately choosing SPD processing parameters that give rise to desirable microstructure, one can produce materials with exceptional mechanical properties and in many cases unusual functional characteristics. A series of international events briefly referred to as NanoSPD conferences have become major forums for the growing community of researchers exploring the potential of severe plastic deformation as a means of producing bulk ultrafine-grained or nanostructured materials. the 7thinternationalconference on Nanomaterials by Severe Plastic Deformation in Sydney (2-7 July 2017) is the seventh in this series of conferences held on a triennial basis. It follows the conferences that took place in Moscow (1999), Vienna (2002), Fukuoka (2005), Goslar (2008), Nanjing (2011), and Metz (2014). NanoSPD conferences have provided an important platform for discussion of a wealth of challenging scientific problems and new technological developments in the NanoSPD area. these Proceedings contain a selection of peer-reviewed papers presented at NanoSPD7 that cover the major themes of the conference. these include SPD processing techniques as well as microstructures, deformation mechanisms and properties of SPD-processed materials. Naturally, mechanical properties figure in the Proceedings most prominently, but functional properties, including biodegradation and biocompatibility, are represented as well. A number of articles are ded
this paper proposes hybrid Genetic Algorithm (GA) - Interval Linear programming (ILP) approach to optimal relay coordination problem for microgrids. Relay coordination in microgrids is complex because of varied and bi...
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this paper proposes hybrid Genetic Algorithm (GA) - Interval Linear programming (ILP) approach to optimal relay coordination problem for microgrids. Relay coordination in microgrids is complex because of varied and bidirectional fault currents because of the existence of Distributed Generation (DG). Overcurrent relays are the feasible and economic choice of protection for meshed distribution systems. the coordinated relay settings must account for various possible fault scenarios in both grid connected and isolated microgrid modes of operation. Inadequate fault current levels from grid connected to the isolated mode are the major cause of protection miscoordination. this paper systematically formulates the relay coordination problem for microgrids as a linear interval optimization problem and introduces a new method of solution using hybrid GA - ILP method. the challenge in using GA to find the optimum in less number of iterations and the feasibility of ILP method to include various fault scenarios as “uncertain but bounded” intervals are combined to find the optimal overcurrent relay settings. the results show the effectiveness of proposed method. the programming is done using optimization tool box available in Matlab.
Parallel computations in a program can be expressed conveniently, at a high level of abstraction, using parallel patterns such as task farm, pipeline or divide-and-conquer. In order to transform a sequential program i...
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In this paper we present a library of parallel skeletons to deal with swarm intelligence metaheuristics. the library is implemented using the parallel functional language Eden, an extension of the sequential functiona...
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this paper presents a case study of participation in a programming contest to stimulate student interest in learning programming. the hypothesis of this study is that students will be more willing to learn programming...
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ISBN:
(纸本)9781941763384
this paper presents a case study of participation in a programming contest to stimulate student interest in learning programming. the hypothesis of this study is that students will be more willing to learn programming if the programming experience is fun. the students were asked to create Android applications (apps) based on their own ideas, experience the fun of programming, and thus gain confidence and a sense of accomplishment. the students who participated in the programming contest began to learn programming voluntarily. In addition, when the application that they created did not run well, they initiated a trial and error process on their own. the programming contest provided students withthe goal of learning programming and a willingness to continue learning.
the proceedings contain 20 papers. the topics discussed include: sustaining making in the era of accountability: STEM integration using e-textiles materials in a high school physics class;from classroom-making to func...
ISBN:
(纸本)9781450363495
the proceedings contain 20 papers. the topics discussed include: sustaining making in the era of accountability: STEM integration using e-textiles materials in a high school physics class;from classroom-making to functional-making: a study in the development of making literacy;equity-oriented STEM-rich making among youth from historically marginalized communities;how time gets used in afterschool maker programs;using assessment tools at an after school youth maker program;fidgeting with fabrication: students with ADHD making tools to focus;physical making online: a study of children's maker websites;teaching practices for making e-textiles in high school computing classrooms;Roll It Wall: developing a framework for evaluating practices of learning;framing MakerSpace communities;learning by fixing and designing problems: developing a reconstruction kit for debugging e-textiles;towards fostering the maker mindset: a case study of Koby's engagement in making and tinkering program with squishy circuits;dancing robots: a collaboration between elementary school and university engineering students;app making for pro-social and environmental change at an equity-oriented Makeathon;designing for rightful presence in stem-rich making;connecting space and narrative in culturally responsive making in ARIS with indigenous youth;the role of computational thinking in making: how beginning youth makers encounter & appropriate ct practices in making;texture, buttons, sound and code: the role of modal preference in the formation of leadership identities;and MakerSpaces as figured worlds.
In order to apply an industrial manipulator to grind or polish an unknown work piece, many robot tool points must be taught manually. this programming procedure could be complex if the work piece has arbitrary surface...
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ISBN:
(纸本)9781538604915
In order to apply an industrial manipulator to grind or polish an unknown work piece, many robot tool points must be taught manually. this programming procedure could be complex if the work piece has arbitrary surfaces meanwhile its digital 3D model is unknown. In this paper, an automatic path planning for unknown work piece grinding is proposed using the 3D point cloud of the work piece. the surface defects are firstly recognized, then the relevant 3D point clouds are reconstructed using a real-time structure light based 3D scanner. the grinding path can be generated after the surface fitting using the point cloud. the manipulator force control is applied to keep a uniform grinding force and remedy the error of the surface fitting. We set up a test platform of the automatic grinding system, including a 3D scanner and an industrial manipulator. the experimental result proves that the proposed technique can realize automatic robotic programming of unknown work piece and has the potential for practical applications.
this manuscript presents a method to program everyday manipulation tasks for a robot by human demonstration using primitive skills. the hand movement in the demonstrated task is recorded then segmented into sub-action...
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ISBN:
(纸本)9781538604915
this manuscript presents a method to program everyday manipulation tasks for a robot by human demonstration using primitive skills. the hand movement in the demonstrated task is recorded then segmented into sub-actions. Each sub-action is mapped to primitives skills of the robot. We proposed a list of necessary skills for a manipulator which are common to use in many everyday tasks. In order to adapt withthe change of object's location, we applied Dynamic Movement Primitives model for regenerating movement which follows the demonstrated trajectory. In experiment, we considered the task “dispensing water” from a water thermos pot performed by a robot arm to verify the proposed method.
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