• Journal of Aerospace System Engineering
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• v.16 no.4
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• pp.109-115
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• 2022

The CNN (Convolution Neural Network) algorithm which combines a deep learning technique, and a computer vision technology, makes image classification feasible with the high-performance computing system. In this thesis, the CNN algorithm is applied to the classification problem, by using a typical deep learning framework of TensorFlow and machine learning techniques. The data set required for supervised learning is generated with the same type of bolts. some of which have undamaged threads, but others have damaged threads. The learning model with less quantity data showed good classification performance on detecting damage in a bolt image. Additionally, the model performance is reviewed by altering the quantity of convolution layers, or applying selectively the over and under fitting alleviation algorithm.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.2
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• pp.361-366
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• 2023

Apache Hadoop, a representative framework for distributed processing of big data, has the advantage of increasing cluster size up to thousands of nodes to improve parallel distributed processing performance. However, reducing the size of the cluster is limited to the extent of permanently decommissioning nodes with defects or degraded performance, so there are limitations to operate multiple nodes flexibly in small clusters. In this paper, we discuss the problems that occur when removing nodes from the Hadoop cluster and propose a dynamic down-scaling technique to manage the distributed cluster more flexibly. To do this, we design and implement a modified Hadoop system and interfaces to support dynamic down-scaling of the cluster which supports temporary pause of a node and reconnection of it when necessary, rather than decommissioning the node when removing a node from the Hadoop cluster. We have verified that effective downsizing can be performed without performance degradation based on experimental results.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.145-157
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• 2009

OSGi enables services to be dynamically discovered through its service registry for fostering interactions among themselves, positioning itself as one of the most prominent SOA technologies. Web Services also provide a mature technical base of open business services being employed over the Internet and allow more value-added applications to be built up from component services. In this paper, we propose a new architecture, built on the concept of dynamic service binding, to support interbred service compositions of OSGi and Web Services. Web Services are imported into OSGi domains, and the compositions are described in WS-BPEL language. The support for crossbred compositions of OSGi services and Web Services opens up a new opportunity of a wider range of applications beyond their respective traditional target domains of home gateways in LAN environments and business applications in global Internet environments.

• Composites Research
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• v.36 no.5
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• pp.329-334
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• 2023

The classical multiscale finite element (FE² ) method involves iterative calculations of micro-boundary value problems for representative volume elements at every integration point in macro scale, making it a computationally time and data storage space. To overcome this, we developed the data-driven multiscale analysis method based on the mean-field homogenization (MFH). Data-driven computational mechanics (DDCM) analysis is a model-free approach that directly utilizes strain-stress datasets. For performing multiscale analysis, we efficiently construct a strain-stress database for the microstructure of composite materials using mean-field homogenization and conduct data-driven computational mechanics simulations based on this database. In this paper, we apply the developed multiscale analysis framework to an example, confirming the results of data-driven computational mechanics simulations considering the microstructure of a hyperelastic composite material. Therefore, the application of data-driven computational mechanics approach in multiscale analysis can be applied to various materials and structures, opening up new possibilities for multiscale analysis research and applications.

• Cartoon and Animation Studies
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• s.33
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• pp.1-29
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• 2013

Surrealism with the excavation of unconsciousness, seeking for the infinity etc. has established views on aesthetics that conflict traditional western rationalism. The main concern of surrealism is problem of identity and difference. They attempted their own mysterious concept such as 'the marvelous', 'convulsive beauty', 'object chance' etc. These unique views on aesthetics was expressed as various style of art. It is the d$\acute{e}$paysemant that exists one of the typical style in surrealism. D$\acute{e}$paysemant means that objects are taken from be originally place. Therefore, The real world's objects is to leave and change environment from real space as use, ability, meaning of origin. or it is the technique to create surreal illusion that combined to a strange place where relates to extraneous attribute of objects. Namely, objects are newly arranged in expression space. Reconstitutive objects by positioning object over the time and space have given us the marvelous and psychological shock and get unfamiliar meaning and feeling over. This paper is tried to look at the way to use the d$\acute{e}$paysemant which applicated in the media, Especially, focusing on animation. Unlike the other media, animation has its unique artistic characters. First, One of the media characteristics of the animation is creativity images of the hand drawn animation by shooting of frame by frame. The animation image which is created through arrangement obtain life force by unique motility. Works of Norman McLaren and Harry Smith are very interesting that the structural characteristics of the d$\acute{e}$paysemant. It consists with abstract forms and various moving images to let audience the feel characteristics of film. We can experience from these cases, numerous illusion fantasy like change over from creature to inanimate object, space and time, creation and extinction, repetition and metamorphosis etc. One of the main apparat is the emphasis of d$\acute{e}$paysemant in space of frame. In conclusion, d$\acute{e}$paysemant is one of the most characteristic expression technique of surrealism while having inevitable linkage with animation.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.41 no.3
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• pp.13-26
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• 2023

Landscapes and gardens have emerged as an important medium of practice in contemporary cities. Among them, this paper examines the city through the frame of gardens. This is because gardens are being reconceptualized as a medium of activity for urban residents and have become an important subject of action in urban regeneration and the creation of urban villages. From this perspective, this paper examines and proposes an "integrated garden city theory" as a landscape theory suitable for the contemporary era by focusing on the urban structure and the behavior of urban residents through the medium of gardens, as well as the process and results. This is both a process and a result of looking back at the evolution of landscape for over a century and rethinking the identity of landscape. We first examined garden city theory, noting that Ebenezer Howard and Frederick Law Olmsted's positions on the relationship between gardens and cities were not so different, and that "working and responsive landscapes" were fundamental to cities and the beginning of landscape theory. We also examine how their ideals have not been fully realized in cities over the past century, but the prototype of gardens based on traditional garden culture is now being formed in East Asian cities, and the evolution of landscape theory in response. The conclusion is that a new version of the garden concept should be reestablished as a living infrastructure in our cities, and a new garden city theory is needed to make it work. To this end, each chapter examines three arguments, as follows First, the values of gardens and East Asian garden cultures in contemporary cities are shaped by the themes of community and integrity. Second, Korean communality, represented by apartments, is expressed through gardening and requires the reconciliation of city and life and the role of landscape architecture as a specialized field to support it. Third, we examine and consider an integrated garden city theory as a theory of practice in which city-based, everyday life, and garden mediums, i.e., city, life, and garden, are organic, based on an oriental view of nature. As a result, it is confirmed that contemporary gardens and cities are looking for important elements and values that still need to be rediscovered in East Asian landscape and garden cultures. Although the proposal of an integrated garden city theory cannot guarantee the continuation of landscaping, it can be an opportunity for all fields related to cities, not just landscaping, to collaborate and consider garden cities. Through this, it is hoped that "the concept of garden and city suitable for metropolitan or dense cities, ways to spread and support garden culture based on community, evolution of landscape theory/design theory suitable for lifestyle and terrain conditions, search for sustainable/resilient garden city theory that can respond to climate change, and establishing a new role for landscape in the 21st century" will be seriously considered.

• Korean Journal of Construction Engineering and Management
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• v.15 no.1
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• pp.111-121
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• 2014

The Clean Development Mechanism (CDM) allows New & Renewable Energy projects to make additional income by selling CER's, which represent the amount of Green House Gases(GHG) that is reduced in the project. However, forward contracts used to hedge fluctuating market prices does not allow projects to sell CER's at a premium. As an alternate approach to maximize CER revenue, CER's are modeled as a 'real option', in which CER's are sold only above the desired sales price. Using the Binomial Option Pricing model, the resultant lattices are used to determine whether to sell, defer or abandon the option at individual nodes. Overlaying Pascal's Triangle on the lattices also enabled the calculation of the annual probabilities for deferring CER sales without incurring downside losses. Application to an actual Landfill Gas project showed increased overall NPV, and that CER sales could be deferred at a maximum of 2 years. The proposed framework allows transparency in the analysis and provides valuable and strategical information when making investment decisions related to CER sales of CDM projects.

• Journal of the Korean GEO-environmental Society
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• v.18 no.2
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• pp.47-51
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• 2017

In this study, the optimization algorithm by inverse analysis that is the core of the adaptive management technique was adopted to update the soil engineering properties based on the ground response during the construction. Adaptive management technique is the framework wherein construction and design procedures are adjusted based on observations and measurements made as construction proceeds. To evaluate the performance of the adaptive management technique, the numerical simulation for the triaxial tests and the synthetic deep excavation were conducted with the Hardening Soil model. To effectively conduct the analysis, the effective parameters among the parameters employed in the model were selected based on the composite scaled sensitivity analysis. The results from the undrained triaxial tests performed with soft Chicago clays were used for the parameter calibration. The simulation for the synthetic deep excavation were conducted assuming that the soil engineering parameters obtained from the triaxial simulation represent the actual field condition. These values were used as the reference values. The observation for the synthetic deep excavation simulations was the horizontal displacement of the support wall that has the highest composite scaled sensitivity among the other possible observations. It was found that the horizontal displacement of the support wall with the various initial soil properties were converged to the reference displacement by using the adaptive management technique.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.643-653
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• 2018

Xamarin is a representative cross-platform development framework that allows developers to write mobile apps in C# for multiple mobile platforms, such as Android, iOS, or Windows Phone. Using Xamarin, mobile app developers can reuse existing C# code and share significant code across multiple platforms, reducing development time and maintenance costs. Meanwhile, malware authors can also use Xamarin to spread malicious apps on more platforms, minimizing the time and cost of malicious app creation. In order to cope with this problem, it is necessary to analyze and detect malware written with Xamarin. However, little studies have been conducted on static analysis methods of the apps written in Xamarin. In this paper, we examine the structure of Android apps written with Xamarin and propose a static analysis technique for the apps. We also demonstrate how to statically reverse-engineer apps that have been transformed using code obfuscation. Because the Android apps written with Xamarin consists of Java bytecode, C# based DLL libraries, and C/C++ based native libraries, we have studied static reverse engineering techniques for these different types of code.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.21-34
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• 2007

According to recent rapid price drop and capacity growth of main memory, the number of applications on main memory databases is dramatically increasing. Cache miss, which means a phenomenon that the data required by CPU is not resident in cache and is accessed from main memory, is one of the major causes of performance degradation of main memory databases. Several cache-conscious trees have been proposed for reducing cache miss and making the most use of cache in main memory databases. Since each cache-conscious tree has its own unique features, more than one cache-conscious tree can be used in a single application depending on the application's requirement. Moreover, if there is no existing cache-conscious tree that satisfies the application's requirement, we should implement a new cache-conscious tree only for the application's sake. In this paper, we propose the cache-conscious generalized search tree (CC-GiST). The CC-GiST is an extension of the disk-based generalized search tree (GiST) [HNP95] to be tache-conscious, and provides the entire common features and algorithms in the existing cache-conscious trees including pointer compression and key compression techniques. For implementing a cache-conscious tree based on the CC-GiST proposed in this paper, one should implement only a few functions specific to the cache-conscious tree. We show how to implement the most representative cache-conscious trees such as the CSB+-tree, the pkB-tree, and the CR-tree based on the CC-GiST. The CC-GiST eliminates the troublesomeness caused by managing mire than one cache-conscious tree in an application, and provides a framework for efficiently implementing arbitrary cache-conscious trees with new features.