• Korean Institute of Interior Design Journal
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• v.21 no.4
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• pp.57-67
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• 2012

The goal of this research is to study the spatial and temporal disjunctive composition of the movie 'Kill Bill part 1/2' and to lay a foundation for the future exploration of the topological relationship between contemporary architecture and cinema based upon the spatial and temporal multiplicity. Since the birth of cinema in early 20 century, architecture and cinema have a dynamic interdisciplinary relationship as Soviet director and theorist Sergei Eisenstein has called the Acropolis of Athens as 'one of the most ancient films' based upon its cinematic spatial sequence, and contemporary architect and theorist Bernard Tschumi has adopted cinematic montage technique to create his own disjunctive event-structure. As french philosopher Gilles Deleuze has traced the cinematic version of his 'disjunctive synthesis' from Eisentein's 'dialectic montage', Deleuzian 'disjunctive synthesis' can be discovered not only from the work and theory of Bernard Tschumi and Rem Koolhaas, but also from the 'Kill Bill's disjunctive composition where the heterogeneous spatial images and temporal images are under continuous interaction to create rhizomatic relationship between the cinema and viewers.

• Journal of Urban Science
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• v.6 no.2
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• pp.11-16
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• 2017

Giuseppe Terragni was one of the founding member and a leading Italian Rationalist pursued a new and more rational synthesis between the nationalistic values of Italian Classicism and structural logic of the machine age. Casa Giuliani Frigerio, a four-story apartment housing in Como, is one of his last major work and is worth to investigate the composition of facades in terms of ambiguity. Unlike the Casa del Fascio, it is never possible to read an priori whole and to allow static and unified readings in a traditional alignment. Due to its misalignments found within the facades of Casa Giuliani Frigerio, it is evident to present unstable and disjunctive readings. These distinctive facades are read as layers applied onto some equally unstable underlying layer and form an ensemble of unexpected unity.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.396-396
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• 2000

Multiperiod optimization is the key step to tackle the supply chain optimization problems. Taking supply and demand uncertainty or prediction into consideration during the process synthesis phase leads to the maximization of the profit for the long range time horizon. In this study, new algorithm based on the Genetic Algorithms is proposed for multiperiod optimization formulated in MINLP, GDP and hybrid MINLP/GDP. In this study, the focus is given especially on the design of the Genetic Algorithm suitable to handle disjunctive programming with the same level of MINLP handling capability. Hybridization with the Simulated Annealing is tried. and many heuristics are adopted for this purpose.