• Hwankyungkyoyuk
• /
• v.24 no.4
• /
• pp.62-77
• /
• 2011

The purpose of this study is to overcome the realistic pressure and the limit of school environmental education and to develop an environmental education program that can provide students, who live in an urban area, have difficulty in contacting with nature, with an opportunity to experience the nature in the school outdoor environment, which is their daily living space and is a ground of environmental education. First, I developed an analytical tool which can be used to determine the degree how the environmental education is related to the school outdoor environment with 8 categories(spaces). And I analyzed the 2007-79 curriculum of lower grade(1 and 2 grades) of the elementary school provided by the Ministry of Education and Human Resources Development by using the analytical tool and found out that this curriculum was suitable for the environmental education utilizing the school outdoor environment. According to this curriculum analysis, the studying subjects which could be suitable for the environmental education utilizing the school outdoor environment were extracted, and based on these subjects, an environmental education program was developed. The environmental education 'in' environment program were composed with 5 modules and 18 activity subjects suitable for students advancement phase, and these activities can be implemented with experiencing, understanding and expressing by using 5 senses. I also proposed a plan that can be used to apply this program continuously to the lower grades(1 and 2 grades) original experience activity class.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.16 no.2
• /
• pp.30-46
• /
• 2013

Using ArcGIS Model Builder, with emphasis on the importance of ecology and user friendliness, a model for site selecting tool is developed. This tool is developed by establishing standardized method for data selection and analysis with evaluation criteria using GIS. For this task, our first action was to objectively define and establish 18 elements to evaluate the potentiality of the site based on extensive literature reviews. These 18 elements reflect environmental, social/cultural and legal aspects that may influence the decision process to select the desired site. Secondly, using ArcGIS Model Builder, 18 analytical elements were made into thematic mapping which represent systematically organized graphic input to the model with automatic double check system and overlay analysis capability. Thirdly, to validate the effectiveness of the developed model, site location analysis was performed using the actual site, Buk-ku, Pohang.

• Proceedings of the Korea Society for Simulation Conference
• /
• 1994.10a
• /
• pp.1-2
• /
• 1994

With the prevalence of computers in modern organizations, simulation is receiving more atention as an effectvie decision -making tool. Simualtion is a computer-based numerical technique which uses mathmatical and logical models to approximate the behaviror of a real-world system. However, iptimization of synamic stochastic systems often defy analytical and algorithmic soluions. Although a simulation approach is often free fo the liminting assumption s of mathematical modeling, cost and time consiceration s make simulation the henayst's last resort. Therefore, whenever possible, analytical and algorithmica solutions are favored over simulation. This paper discussed the issues and procedrues for using simulation as a tool for optimization of stochastic complex systems that are dmodeled by computer simulation . Its emphasis is mostly on issues that are speicific to simulation optimization instead of consentrating on the general optimizationand mathematical programming techniques . A simulation optimization problem is an optimization problem where the objective function. constraints, or both are response that can only be evauated by computer simulation. As such, these functions are only implicit functions of decision parameters of the system, and often stochastic in nature as well. Most of optimization techniqes can be classified as single or multiple-resoneses techniques . The optimization of single response functins has been researched extensively and consists of many techniques. In the single response category, these strategies are gradient based search techniques, stochastic approximate techniques, response surface techniques, and heuristic search techniques. In the multiple response categroy, there are basically five distinct strategies for treating the responses and finding the optimum solution. These strategies are graphica techniqes, direct search techniques, constrained optimization techniques, unconstrained optimization techniques, and goal programming techniques. The choice of theprocedreu to employ in simulation optimization depends on the analyst and the problem to be solved. For many practival and industrial optimization problems where some or all of the system components are stochastic, the objective functions cannot be represented analytically. Therefore, modeling by computersimulation is one of the most effective means of studying such complex systems. In this paper, after discussion of simulation optmization techniques, the applications of above techniques will be presented in the modeling process of many flexible manufacturing systems.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2005.05a
• /
• pp.69-74
• /
• 2005

Despite the advancement of knowledge and techniques, architectural design has been developed by similar method and science as the logical tool since the development of Le Corbusier's 'module'. However, in the new millenium emotional design has become a key issue and today is the turning point regarding new method for designing human space. While architecture discipline of the West focused on logic, Japan based its origin in eastern discipline has developed a unique design concept called 'metabolism' and advanced it very effectively. Since its development of the unique concept, Toyo Ito has become one of the most Influential architect in and out of Japan who devoted his design career in developing new space concept. This study is specifically focused on Ito's project by finding characteristics of his projects and analyze emotional design factors by using 5 analytical tool - experiencing the space, five senses, landmark, sequence, and scale. Ito's work between 2000-2004, such as Sendai Mediatheque, showed more visible sign of emotional design characteristics compared to the works done in 1990's. Because of the analytical studies researching those emotional design characteristics and methods, the future advancement in new space design will be possible with great success. The result proves that continuing proper analysis and research in design method will assist in approaching new space design method into more advanced realm in very efficient time period with more definite design elements to accomodate and fulfill human needs in given space.

• Convergence Security Journal
• /
• v.24 no.2
• /
• pp.3-8
• /
• 2024

Recently, in order to build a cyber threats have increased in number and complexity. These threats increase the risk of using personally owned devices for work. This research addresses how to utilize an AI-enabled breach analysis tool. To this end, we developed and proposed the feasibility of using an AI-based breach analysis tool that reduces the workload of analysts and improves analysis efficiency through automated analysis processes. This allows analysts to focus on more important tasks. The purpose of this research is to propose the development and utilization of an AI-based breach analysis tool. We propose a new research direction in the field of breach analysis and suggest that automated tools should be improved in performance, coverage, and ease of use to enable organizations to respond to cyberattacks more effectively. As a research method, we developed a breach analysis tool using A.I. technology and studied various use cases. We also evaluated the performance, coverage, and ease of use of automated tools, and conducted research on predicting and preventing breaches and automatically responding to them. As a result, this research will serve as a foundation for the development and utilization of AI-based breach analysis tools, which can be used to respond to cyberattacks more effectively through experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.4
• /
• pp.1693-1713
• /
• 2018

An important technique used by database administrators (DBAs) is to improve performance in decision-support workloads associated with a Star schema is multi-level partitioning. Queries will then benefit from performance improvements via partition elimination, due to constraints on queries expressed on the dimension tables. As the task of multi-level partitioning can be overwhelming for a DBA we are proposing a wizard that facilitates the task by calculating a partitioning scheme for a particular workload. The system resides completely on a client and interacts with the costing estimation subsystem of the query optimizer via an API over the network, thereby eliminating any need to make changes to the optimizer. In addition, since only cost estimates are needed the wizard overhead is very low. By using a greedy algorithm for search space enumeration over the query predicates in the workload the wizard is efficient with worst-case polynomial complexity. The technology proposed can be applied to any clustering or partitioning scheme in any database management system that provides an interface to the query optimizer. Applied to the Teradata database the technology provides recommendations that outperform a human expert's solution as measured by the total execution time of the workload. We also demonstrate the scalability of our approach when the fact table (and workload) size increases.

• Journal of the Korean Society of Safety
• /
• v.27 no.4
• /
• pp.43-49
• /
• 2012

In the design of high speed railway bridges is important a impact factor as a tool of assessing the dynamic capacitys of bridges. However, the impact factor(or dynamic amplification factor, DAF) of high speed railway bridges may essentially be changeable because the dynamic response is affected by the long train length(380 m), number of axles and high speed velocity(300 km/h)(Korea Train eXpress: KTX). Therefore, on this study will be examined the dynamic capacity and stability of the typical PSC Box Girder of high speed railway bridge. At first, the static/dynamic analysis is performed considering the axle load line of KTX based upon existing references. Additionally, the KTX moving load is transformed into the dynamic time series load for conducting various parameter studies like axle length, analytical time increment, velocity of KTX. The time history analysis is repeatedly performed to get maximum dynamic responce by varying axle load length, analytical time increment, velocity of KTX. The study shows that dynamic analysis has resonable results with optimal axle load length(0.6 m) and time increment(0.01 sec.) and maximum DAF and dynamic resonance happens at 270 km/h velocity of KTX.

• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.58 no.3
• /
• pp.316-322
• /
• 2009

This paper presents an analytical design method of a passive harmonic filter for a three-phase diode rectifier and uses a new transfer function approach in the analysis and design. The transfer function approach derives an analytical formulation of an utility system including passive filters with a basis of Laplace transform and provides a graphical formulation so that a visualized insight into an interaction between individual filter and system response can be attainted. Harmonic impedance, voltage division and current division transfer function are used as a design tool, which makes a calculated filter parameters to satisfy IEEE-519 distortion limits. A simple five-step design procedure is introduced in the filter design, which consists of system analysis, selection of PCC(Point of Common Coupling), filter specification calculation, appropriate filter design for system and filter implementation. Philosophy governing the design procedure is based on a numerical/graphical iterative solution, trial and error with visualization feed-back based on "algebra on the graph". Finally, performance of the designed passive harmonic filter is verified by experiment and shows that 5th, 7th, 9th, 11th and 13th harmonics are decreased within IEEE-519 distortion limits, respectively.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1995.10a
• /
• pp.151-156
• /
• 1995

This paper presents a methodology for real-time detecting and identifying the runout geometry of an end mill. Cutter runout is a common but undesirable phenomenon in multi-tooth machining such as end-milling process because it introduces variable chip loading to insert which results in a accelerated tool wear,amplification of force variation and hence enlargement vibration amplitude. Form understanding of chip load change kinematics, the analytical sutting force model was formulated as the angular domain convolution of three dynamic cutting force component functions. By virtue of the convolution integration property, the frequency domain expression of the total cutting forces can be given as the algebraic multiplication of the Fourier transforms of the local cutting forces and the chip width density of the cutter. Experimental study are presented to validata the analytical model. This study provides the in-process monitoring and compensation of dynamic cutter runout to improve machining tolerance tolerance and surface quality for industriql application.

• Computers and Concrete
• /
• v.9 no.2
• /
• pp.119-131
• /
• 2012

Optimum packing of aggregate is an important aspect of mixture design, since porosity may be reduced and strength improved. It may also cause a reduction in paste content and is thus of economic relevance too. Several mathematic packing models have been developed in the literature for optimization of mixture design. However in this study, numerical simulation will be used as the main tool for this purpose. A basic, simple theoretical model is used for approximate assessment of mixture optimization. Calculation and simulation will start from a bimodal mixture that is based on the mono-sized packing experiences. Tri-modal and multi-sized particle packing will then be discussed to find the optimum mixture. This study will demonstrate that computer simulation is a good alternative for mixture design and optimization when appropriate particle shapes are selected. Although primarily focusing on aggregate, optimization of blends of Portland cement and mineral admixtures could basically be approached in a similar way.