• Korean Educational Research Journal
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• v.38 no.1
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• pp.29-39
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• 2017

This study analyzes the items of acid base and redox unit in the middle school science textbook based on the 2009 revised science curriculum using Bloom's taxonomy of educational objectives. As a result of the analysis, the elements of knowledge area appeared the most in textbook items of all publishing companies, and those elements were less in order of understanding, application, analysis, synthesis and evaluation. And the sub-domain of cognitive domains were not evenly distributed by the publisher. Therefore, schools need to refer to the evaluation items of the textbooks of various publishing companies and use them in class.

• Korean Institute of Interior Design Journal
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• v.18 no.1
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• pp.89-98
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• 2009

As the quality of life Increases, most people are much interested in their health. The latest knowledge and concepts are newly employed and consistently extended in the field of medical facilities as well. The purpose of this study is to investigate space-structural features of dental clinics, to analyze space components in two aspects, the function and the moving path, to provide with base materials for interior design research, and, as a result, to contribute to the improvement of dental clinics. The visitor survey method was implemented in five dental offices haying opened since 2000. The survey results show that each area is distributed as follows; the consultation room is the largest, the waiting space is secondly largest, and the facility area of medical assistance and administration is the smallest. The consultation space can be designed as semi-opened or opened. Considering moving paths, each should not be too long for the communication between doctors and patients, and for the effective medical examination and treatment. The survey indicates medical assistants have the longest moving path because they fully utilize every space. Based on the survey results described above, more systematic in-depth studies should be performed in the future.

• The Journal of Korean Medicine
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• v.23 no.2
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• pp.1-18
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• 2002

Objectives : The objective of this study was to examine the academic informationseeking behavior and demand of the oriental medical researcher and to create the base data for establishing a library environment providing a high-quality information service which would aid the activity of such researchers, Methods : We distributed a questionnaire to the one hundred professors of the college of oriental medicine on the method of acquisition of information data, the environment of the library belonging to the college, and the like. Results : $\circled1$ The main class using the academic information service of oriental medicine was revealed to be researchers having a career of 10 to 15 years who had a domestic doctorate in oriental medicine. $\circled2$ When accessing information, the primary information resource used was academic journals. $\circled3$ Of the data forms mentioned in the study, periodicals was used most in number of printed data; computer databases among non-printed data. $\circled4$ The purpose of using an information resource was for performing a research project. $\circled5$ The path of acquisition of information was usually through the materials in their possession. $\circled6$ The greatest difficulty in gathering information was first of all the lack of information owned by the library, and next a lack of time and insufficient knowledge of information search and use. $\circled7$ More than 90% of respondents on the necessity of an expert library answered as "necessary" or "certainly necessary", indicating that the foundation of an expert library is very urgent. Conclusions : This study is beneficial for researchers engaged in oriental medicine to activate the use of information and also it will form a base of data for researchers to establish an environment of expert library in oriental medicine.

• Journal of Microbiology and Biotechnology
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• v.21 no.8
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• pp.777-790
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• 2011

To elucidate the biodiversity of plant growth-promoting rhizobacteria (PGPR) in Korea, 7,638 bacteria isolated from the rhizosphere of plant species growing in many different regions were screened. A large number of PGPR were identified by testing the ability of each isolate to promote the growth of cucumber seedlings. After redundant rhizobacteria were removed via amplified rDNA restriction analysis, 90 strains were finally selected as PGPR. On the basis of 16S ribosomal RNA sequences, 68 Gram-positive (76%) and 22 Gram-negative (24%) isolates were assigned to 21 genera and 47 species. Of these genera, Bacillus (32 species) made up the largest complement, followed by Paenibacillus (19) and Pseudomonas (11). Phylogenetic analysis showed that most of the Grampositive PGPR fell into two categories: low- and high- G+C (Actinobacteria) strains. The Gram-negative PGPR were distributed in three categories: ${\alpha}$-proteobacteria, ${\beta}$- proteobacteria, and ${\gamma}$-proteobacteria. To our knowledge, this is the largest screening study designed to isolate diverse PGPR. The enlarged understanding of PGPR genetic diversity provided herein will expand the knowledge base regarding beneficial plant-microbe interactions. The outcome of this research may have a practical effect on crop production methodologies.

• Journal of KIISE
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• v.42 no.8
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• pp.998-1009
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• 2015

In recent years, there has been a growing interest in RDFS Inference to build a rich knowledge base. However, it is difficult to improve the inference performance with large data by using a single machine. Therefore, researchers are investigating the development of a RDFS inference engine for a distributed computing environment. However, the existing inference engines cannot process data in real-time, are difficult to implement, and are vulnerable to repetitive tasks. In order to overcome these problems, we propose a method to construct an in-memory distributed inference engine that uses a parallel graph structure. In general, the ontology based on a triple structure possesses a graph structure. Thus, it is intuitive to design a graph structure-based inference engine. Moreover, the RDFS inference rule can be implemented by utilizing the operator of the graph structure, and we can thus design the inference engine according to the graph structure, and not the structure of the data table. In this study, we evaluate the proposed inference engine by using the LUBM1000 and LUBM3000 data to test the speed of the inference. The results of our experiment indicate that the proposed in-memory distributed inference engine achieved a performance of about 10 times faster than an in-storage inference engine.

• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.70-81
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• 2009

Ontology is an explicit specification of concepts and relationships between concepts in an interest domain. As considered as one of typical knowledge representation methods, ontology is applied to various studies such as information extraction, information integration, information sharing, or knowledge management. In IT based industries, ontology is applied to research on information integration and sharing in order to enhance interoperability between enterprises. In supply chains or logistics, several enterprises participate as business partners to plan movements of goods, and control goods and logistics flows. A number of researches on information integration and sharing for the effective and efficient management of logistics or supply chains have been addressed. In this paper, we address an ontology as a knowledge-base for semantic-based integration of logistics information distributed in the logistics flow. Especially, we focus on developing an ontology that enables to represent and translate semantic meaning of EPC data in the EPC Network applied logistics. We present a scenario for tracing products in logistics in order to show the value of our ontology.

• The Journal of Engineering Research
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• v.6 no.1
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• pp.5-14
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• 2004

Finding a solution to a constraint satisfaction problem requires choosing values for variables so as to satisfy the constraints of the problem. A constraint is simply a logical relation among several unknowns (or variables), each taking a value in a given domain. Conventional constraint-based scheduling systems are not enough to satisfy the all constraints because there are conflicts between them. In this paper, we propose a method for interactive scheduling, which have two major problems: first, it is hard to satisfy concretely all various kinds of constraints, and second, the search space is extremely large and requires a long execution time. To solve the above problems, we introduce the Interactive Scheduling System (ISS) that interacts with the user to exchange suggestions each other. Our system is performed in two steps: knowledge base generation of an initial assignment and iterative improvement with the user(host or internet client) to satisfy the constraints. Applying our system, we actually constructed timetables for our university, where the scheduling time is considerably reduced.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.6
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• pp.555-561
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• 2008

This paper describes an e-Engineering framework to support collaborative design of automotive suspension systems developed at KIMM(Korea Institute of Machinery and Materials). The e-Engineering framework is proposed and developed on the base of the multi-layered software agents including engineering task agent which is generated from the domain knowledge of experts. The developed framework is aim to widely spread application to the small and medium enterprises by adopting open source technologies such as JADE (Java Agent Development Framework) and by using the independent characteristics related with applicant H/W and 81W system. This framework can provide an integrated design environment to support distributed personnel, design activities and engineering resources during product development process. For the validation of the system's applicability and efficiency, the several practical design processes for automotive suspension systems of RR/FR lower arms and RR cross member are applied and discussed.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.59-72
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• 2004

The range of Internet usage is drastically broadened and diversed from information retrieval and collection to many different functions. Contrasting to the increase of Internet use, the efficiency of finding necessary information is decreased. Therefore, the need of information system which provides customized information is emerged. Our research proposes Web Service based recommendation system which employes inference engine to find and recommend the most appropriate products for users. Web applications in present provide useful information for users while they still carry the problem of overcoming different platforms and distributed computing environment. The need of standardized and systematic approach is necessary for easier communication and coherent system development through heterogeneous environments. Web Service is programming language independent and improves interoperability by describing, deploying, and executing modularized applications through network. The paper focuses on developing Web Service based recommendation system which will provide benchmarks of Web Service realization. It is done by integrating inference engine where the dynamics of information and user preferences are taken into account.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.1-12
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• 2003

In this paper, we Introduce the Unreal Tournament (UT) game and the Gamebots system. The former it a well-known 3D first-person action game and the latter is an intelligent agent research testbed based on UT And then we explain the design and implementation of KGBot, which is an intelligent non-player character deploying effectively within the 3D virtual environment provided by UT and the Gamebots system. KGBot is a bot client within the Gamebots System. KGBot accomplishes its own task to find out and dominate several domination points pro-located on the complex surface map of 3D virtual environment KGBot adopts UM-PRS as its control engine, which is a general BDI agent architecture. KGBot contains a hierarchical knowledge base representing its complex behaviors in multiple layers. In this paper, we explain details of KGBot's Intelligent behaviors, tuck af locating the hidden domination points by exploring the unknown world effectively. constructing a path map by collecting the waypoints and paths distributed over the world, and finding an optimal path to certain destination based on this path graph. Finally we analyze the performance of KGBot exploring strategy and control engine through some experiments on different 3D maps.