As part of the European Space Agency (ESA) Future Launchers Preparatory Programme (FLPP), SONACA (BELGIUM) and BRM (USA) companies joined their competences to develop a new concept of structural European launcher cryo...
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ISBN:
(纸本)9781934551233
As part of the European Space Agency (ESA) Future Launchers Preparatory Programme (FLPP), SONACA (BELGIUM) and BRM (USA) companies joined their competences to develop a new concept of structural European launcher cryogenic upper inter-stage composite ring. this challenging program targeted the replacement of an ARIANE traditional aluminum ring by a lighter and affordable multi-functional composite structure. the ARIANE 5 aluminum specification was used as the basis of the design concepts, with adaptation to a future launcher 4.3 m diameter. After a preliminary design phase, involving selection of different manufacturing routes, material and processes by elementary tests made at coupon level, the 3D orthogonal weaving process was selected as the best candidate to realize a full scale ring demonstrator. the structure was designed, stressed and verified by test by SONACA, and the 3D weaving was optimized in close collaboration with BRM. Five 90 segment carbon fiber dry preforms were produced by BRM using the most advanced weaving automated technology. All these segments were injected by SONACA using their expertise in RTM process. the parts were controlled both geometrically and wrt internal defects by NDT. A 30 segment was successfully submitted to five static load cases up to failure, showing a TRL of 5. Four 90 segments were assembled by CFRP splices to exhibit a full ring demonstrator. Copyright 2016 by ESA-ESTEC. Published by the Society for the Advancement of Material and Process
this paper presents the solution for odd and even number of switching angles of harmonic elimination pulse width modulation (HEPWM). HEPWM capable to eliminate low order harmonics of inverter output voltage by solving...
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ISBN:
(纸本)9781509025480
this paper presents the solution for odd and even number of switching angles of harmonic elimination pulse width modulation (HEPWM). HEPWM capable to eliminate low order harmonics of inverter output voltage by solving the transcendental equation of the switching angles. the optimum switching angles are calculated using differential evolution (DE) algorithm. DE is simple and effective algorithm. the calculated switching angles applied to the three-phase voltage source inverter (VSI) and harmonic performance of output voltage are examined using MATLAB/Simulink software. the Total harmonic Distortion (thD) of line to neutral of inverter is analyzed for different number of switching angles. the simulation result showed that the low order harmonics, namely 5th, 7th, 11th, 13th, 17th, 19th, 23th was eliminated individually by N=3,4,5,6,7 and 8.
the increasing amount of text documents in digital forms affect the text analysis techniques. Text clustering (TC) is one of the important techniques used for showing a massive amount of text documents by clusters. He...
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ISBN:
(纸本)9781467389150
the increasing amount of text documents in digital forms affect the text analysis techniques. Text clustering (TC) is one of the important techniques used for showing a massive amount of text documents by clusters. Hence, the main problem that affects the text clustering technique is the presence sparse and uninformative features on the text documents. the feature selection (FS) is an essential unsupervised learning technique. this technique is used to select informative features to improve the performance of text clustering algorithm. Recently, the meta-heuristic algorithms are successfully applied to solve several hard optimization problems. In this paper, we proposed the genetic algorithm (GA) to solve the unsupervised feature selection problem, namely, (FSGATC). this method is used to create a new subset of informative features in order to obtain more accurate clusters. Experiments were conducted using four benchmark text datasets with variant characteristics. the results showed that the proposed FSGATC is improved the performance of the text clustering algorithm and got better results compared with k-mean clustering standalone. Finally, the proposed method “FSGATC” evaluated by F-measure and Accuracy, which are common measures used in the domain of text clustering.
Autonomous Search is a modern technique aimed at introducing self-adjusting features to problem-solvers. In the context of constraint satisfaction, the idea is to let the solver engine to autonomously replace its solv...
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ISBN:
(纸本)9783319410005;9783319409993
Autonomous Search is a modern technique aimed at introducing self-adjusting features to problem-solvers. In the context of constraint satisfaction, the idea is to let the solver engine to autonomously replace its solving strategies by more promising ones when poor performances are identified. the replacement is controlled by a choice function, which takes decisions based on information collected during solving time. However, the design of choice functions can be done in very different ways, leading of course to very different resolution processes. In this paper, we present a performance evaluation of 16 rigorously designed choice functions. Our goal is to provide new and interesting knowledge about the behavior of such functions in autonomous search architectures. To this end, we employ a set of well-known benchmarks that share general features that may be present on most constraint satisfaction and optimization problems. We believe this information will be useful in order to design better autonomous search systems for constraint satisfaction.
this paper contributes to the area of inductive logic programming by presenting a new learning framework that allows the learning of weak constraints in Answer Set programming (ASP). the framework, called Learning fro...
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this paper contributes to the area of inductive logic programming by presenting a new learning framework that allows the learning of weak constraints in Answer Set programming (ASP). the framework, called Learning from Ordered Answer Sets, generalises our previous work on learning ASP programs without weak constraints, by considering a new notion of examples as ordered pairs of partial answer sets that exemplify which answer sets of a learned hypothesis (together with a given background knowledge) are preferred to others. In this new learning task inductive solutions are searched within a hypothesis space of normal rules, choice rules, and hard and weak constraints. We propose a new algorithm, ILASP2, which is sound and complete with respect to our new learning framework. We investigate its applicability to learning preferences in an interview scheduling problem and also demonstrate that when restricted to the task of learning ASP programs without weak constraints, ILASP2 can be much more efficient than our previously proposed system.
we discuss the Data Science program at Indiana University, which is offered in both traditional residential and online formats. We describe Data Science, our chosen curriculum and its motivation. We describe experienc...
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ISBN:
(纸本)9781467395601
we discuss the Data Science program at Indiana University, which is offered in both traditional residential and online formats. We describe Data Science, our chosen curriculum and its motivation. We describe experience in online delivery for both traditional lectures and online programming laboratories, and discuss implications for the technology used.
the development of multimedia and network technology which provide a new carrier and platform for the traditional teaching, is also the foundation of hybrid teaching mode, which is a hot topic in the research of teach...
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ISBN:
(纸本)9781467383028
the development of multimedia and network technology which provide a new carrier and platform for the traditional teaching, is also the foundation of hybrid teaching mode, which is a hot topic in the research of teaching reform in colleges and universities. Flipped classroom emphasizes the students as the subject, and the teacher as a supplement, which truly reflects the "student centered" education idea. At first, this paper analyzes the present mainly existing problems in Java programming course, and then puts forward a hybrid flipped classroom teaching mode according to the type and characteristics of knowledge points, and apply it to the teaching practice. Finally, taking the students of Java programming course as research object, this paper investigated and analyzed the application effect of hybrid flipped classroom teaching mode, the results of the survey show that this teaching mode has good application effect.
In this paper we want to describe advances reached in the game design and implementation related to Serious Game: Program with Ixquic. We present a work in progress about this videogame. Program with Ixquic, has two m...
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ISBN:
(纸本)9781479981021
In this paper we want to describe advances reached in the game design and implementation related to Serious Game: Program with Ixquic. We present a work in progress about this videogame. Program with Ixquic, has two main purposes: developing programming skills for every user that interacts withthis videogame, where virtual scenes created in 2D dimensions presents Object-Oriented programming concepts through the development of examples and exercises in Java programming Language.
作者:
Ohmori, KenjiHosei Univ
Comp & Informat Sci 3-7-2 Kajino Cho Koganei Tokyo 1848584 Japan
the incrementally modular abstraction hierarchy, which is a general development method based on modern mathematics, is applied to a computer game implemented by using functional reactive programming within pure functi...
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ISBN:
(纸本)9781467365376
the incrementally modular abstraction hierarchy, which is a general development method based on modern mathematics, is applied to a computer game implemented by using functional reactive programming within pure functionalprogramming. In this work, this was done by using the Netwire programming library to implement functional reactive programming in the language Haskell, which is based on category theory. We developed the incrementally modular abstraction hierarchy (IMAH) to introduce a modern mathematical method for developing computer games in Netwire and demonstrated that IMAH is capable of facilitating the design and implementation of this challenging but difficult application area.
In this paper, we propose a novel method for power per area optimization under yield constrains in multichannel neural recording interface. Using a sequence of minimizations with iteratively-generated low-dimensional ...
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ISBN:
(纸本)9781467363891
In this paper, we propose a novel method for power per area optimization under yield constrains in multichannel neural recording interface. Using a sequence of minimizations with iteratively-generated low-dimensional subspaces, our approach renders consistently improved power per area ratio and imposes no restrictions on the distribution of process parameters or how the data enters the constraints. the experimental results, obtained on neural recording interface circuits in CMOS 90nm technology, demonstrate power sayings of up to 26% and area of up to 22% without yield penalty.
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