• Ocean and Polar Research
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• v.30 no.1
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• pp.79-87
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• 2008

Hydroacoustic technique was used to analyze spatiotemporal stability and distribution of demersal fish aggregations in the coastal region to overcome some limitations of the existing methods such as net and diving. The survey was carried out in the Baekeum Bay on the south coast of Korea in January 2007. The bottom depth in the study site ranges from 7 to 25 m. In order to outline aggregations of demersal fish initial scanning using 200 kHz split-beam transducer was randomly conducted over the large area. Having detected fish aggregation in the specific region, intensive acoustic survey of irregular star pattern was carried out along 14 transects across the area in question. The results of the acoustic survey show that all demersal fish aggregations are concentrated about 5 m from sea bottom having a slight slope and remain steady with no spatial or temporal variations during acoustic survey. The hydroacoustic method used in this study offers a new approach to understand vertical and horizontal distribution, spatiotemporal stability, and biomass estimate of demersal fish aggregations in coastal regions. Additionally, the number of individual fish estimated from in situ acoustic target strength data can be used to understand the standing stock of demersal fish aggregation.

• Journal of the Korea Computer Graphics Society
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• v.15 no.2
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• pp.19-34
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• 2009

This paper presents an automatic rendering system for 3D meshes which generates images in the style of oriental black ink painting. In this paper, we analyze the characteristics of black ink painting and present some requirements for our black ink rendering system. Then we survey the steps used by artists to create black ink paintings. Based on the analysis of drawing steps, we propose a black ink rendering system which reproduces the key features of black ink painting through three sub-systems: the feature line layer, the interior shading layer, and the media layer. The main contribution of this paper is to introduce new methods which generate realistic and natural results very fast while any simulation methods are not used to satisfy real-time performance. We describe our implementation of each of these, and demonstrate our results in the major three styles of black ink painting: the outline style, the spontaneous style, and the outline-spontaneous style. Our system renders 3D models of moderate complexity at interactive frame rates. As a result, we expect that our system can be directly applied to real-time applications such as computer games and virtual environments.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.59-66
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• 2024

This paper presents the concept and characteristics of cloud computing, and it addresses how cloud computing delivers quality of service (QoS) to the end-user. Next, it discusses how to schedule one's workload in the infrastructure using technologies that have recently emerged such as Machine Learning (ML). That is followed by an overview of how ML can be used for resource management. This paper then looks at the primary goal of this project, which is to outline the benefits of using ML to schedule upcoming demands to achieve QoS and conserve energy. In this survey, we reviewed the research related to ML methods for predicting workloads in cloud computing. It also provides information on the approaches to elasticity, while another section discusses the methods of prediction used in previous studies and those that used in this field. The paper concludes with a summary of the literature on predicting workloads and optimising QoS in the cloud computing.

• Journal of Families and Better Life
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• v.20 no.3
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• pp.113-124
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• 2002

The purpose of this study was to identify the subarea of customer complaints handling service and to accomplish the data for an improvement of complaints handling get service through the evaluation of the importance and performance on customer handling service as subdivisions of customer complaints handling service. The data were collected 303 female/male, 20-30 age by outline survey. The major findings of this study were as follows: 1) The subdivisions of customer complaints handling service were classified into four different factors ; promptness, empathy, information, policy factors. 2) As the subdivisions factors, importance was promptness, empathy>information>policy factor and performance was empathy>information>promptness>policy factor in order. 3) There were question asking the performance evaluation of influencing the total satisfaction of customer complaints handling service. There were promptness, empathy of performance evaluation of influencing the total satisfaction.

• ETRI Journal
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• v.37 no.2
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• pp.369-379
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• 2015

Fault management of virtualized network environments using user-driven network provisioning systems (NPSs) is crucial for guaranteeing seamless virtual network services irrespective of physical infrastructure impairment. The network service interface (NSI) of the Open Grid Forum reflects the need for a common standard management API for the reservation and provisioning of user-driven virtual circuits (VCs) across global networks. NSI-based NPSs (that is, network service agents) can be used to compose user-driven VCs for mission-critical applications in a dynamic multi-domain. In this article, we first attempt to outline the design issues and challenges faced when attempting to provide mission-critical applications using dynamic VCs with a protection that is both user-driven and trustworthy in a dynamic multi-domain environment, to motivate work in this area of research. We also survey representative works that address inter-domain VC protection and qualitatively evaluate them and current NSI against the issues and challenges.

• Journal of the Korean Institute of Rural Architecture
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• v.4 no.2
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• pp.79-92
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• 2002

Internationally Present-day, the paradigm in rural community is changing to continually prospering rural community. So, it's time to provide the vision of new rural life. The purpose of this study is to provide the basic plan which can revitalize the rural area and improve the living standards of the inhabitants. The range of this study is restricted to Sam-Sin village in Hadong and from Feb. 2002 to May 2002. We arranged the outline of 'new rural community development project' and investigated the present state of the village by spot survey. Through the study, we suggest green-tea which can increase the life quality of inhabitants and achieve the prosperity of the village at the same time. We expect the results of this study can realize the Green Tourism and establish the identity of village caused by green-tea cultural festival.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.226-229
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• 2009

Housing Performance Grade Indication System is one of the advanced system which operate globally in three countries. Housing Performance Grade Indication System of the Japan and Korea has points of similarity and distinction according to special situations of own condition and government. The purpose of a study is how characteristics have points of view about background, composition and an outline of the system, indication standard and method, the situation of issue, making progress direction and what is the clear differences. Also, it is to obtain hints for making progress direction of domestic Housing Performance Grade Indication System. The method of study is in parallel with literature survey, also collection through visiting to researcher, operation company, evaluation institution, housing company of the Japan. and to use data as a result of international workshop on November 2008. Because domestic research team is studying about making system and evaluation, revision, this study will make use this data.

• Communications for Statistical Applications and Methods
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• v.24 no.6
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• pp.543-559
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• 2017

Tree-based regression and classification ensembles form a standard part of the data-science toolkit. Many commonly used methods take an algorithmic view, proposing greedy methods for constructing decision trees; examples include the classification and regression trees algorithm, boosted decision trees, and random forests. Recent history has seen a surge of interest in Bayesian techniques for constructing decision tree ensembles, with these methods frequently outperforming their algorithmic counterparts. The goal of this article is to survey the landscape surrounding Bayesian decision tree methods, and to discuss recent modeling and computational developments. We provide connections between Bayesian tree-based methods and existing machine learning techniques, and outline several recent theoretical developments establishing frequentist consistency and rates of convergence for the posterior distribution. The methodology we present is applicable for a wide variety of statistical tasks including regression, classification, modeling of count data, and many others. We illustrate the methodology on both simulated and real datasets.

• ETRI Journal
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• v.42 no.2
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• pp.292-304
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• 2020

As side-channel analysis and machine learning algorithms share the same objective of classifying data, numerous studies have been proposed for adapting machine learning to side-channel analysis. However, a drawback of machine learning algorithms is that their performance depends on human engineering. Therefore, recent studies in the field focus on exploiting deep learning algorithms, which can extract features automatically from data. In this study, we survey recent advances in deep learning-based side-channel analysis. In particular, we outline how deep learning is applied to side-channel analysis, based on deep learning architectures and application methods. Furthermore, we describe its properties when using different architectures and application methods. Finally, we discuss our perspective on future research directions in this field.

• Korean Journal of Child Studies
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• v.33 no.1
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• pp.81-92
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• 2012

The main purpose of this study was to analysis of the structural relationship between early adolescents' social relationships, self esteem, life satisfaction, and school adjustment. Data harvested from the Korean Youth Panel Survey 2010 was analyzed by means of Structural Equation Modeling (SEM). The results indicate that the model is appropriate in terms of goodness of fit and significant path based on the validation procedure. According to the model, the social relationships have some degree of influence upon self esteem which then goes on to have a subsequent effect on life satisfaction; which in turn have a further influence on school adjustment. Social relationships also have a direct influence on life satisfaction, school adjustment, and self esteem has a direct influence on school adjustment. The paper concludes with an outline of the implications of the present study for future studies on this subject.