• Korean Institute of Interior Design Journal
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• no.11
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• pp.11-19
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• 1997

This stduy aimed to suggest a possible way for a new setting of interior design education through analyzing educational situations of domestic interior design societies. The study showed that interior design education should not follow expressive methods made from practical work which had been popular in the past and it should establish fundamental formation to make interior design education useful in industrial fields through active educationalindustrial complex. Interior design education is not possible without interrelationship with other professional fields and cooperative attitudes among them. The rapid development in the modern industrial world and the ever-growing information processing world regardless of ideology and regiional boundaries indicate that the future of interior design education will be no longer effective with traditional education systems. The idea suggested in this study may be understood as a bridge between the educational reality and its ideal in interior design teaching. The main points of the study are follows. First, the projects of advanced interior design should be focused on increasing the ability for problem solving rather than accumulating basic knowledge. Second, motivation is important for the maximization of the efficiency of educatiov. Therefore a few suggestions in establishing design conditions, as strategies of inducing 'attention', 'self-confidence', 'satisfaction', and 'relevance' are closely examined to propose practical application methods. Third, educational methods should be developed towards creativity in order to increase abilities of thinking and expressiov. Finally, it is necessary to explore various device which help internship participants to get experiences with a sense of practical situations in industrial fields. This could be possibly done by enforcing academic grades for the work done as an internship participation; by employing workmen in industrial fields as faculty members; and by bringing faculty members into actual industrial situations and providing workmen with lectures. A new approach for a better design education seems to be desirable for the future.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.3
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• pp.111-120
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• 2015

Recently, self-adaptive system researches have been done to solve the problems occurred in the dynamic environment. Designing requirement in the self-adaptive system is necessary to recognize and solve the problem for the system, and if a developer reuses existing adaptation strategy to design the requirement, the designing time and cost would be reduced. Therefore, this paper proposes the system which extracts reusable adaptation strategy from the existing self-adaptive system. For the proposal, this paper conceptualizes the self-adaptation elements, defines the adaptation strategy ontology and target system ontology, and presents the process of extracting reusable strategy. This paper also implements proposed system and evaluates the reuse rate of the extracted strategy. As a result, the adaptation strategies extracted by proposed system are exactly operated, and the extraction method of proposed system shows higher reuse rate than a previous method.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.523-530
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• 2014

Ontology alignment is the way to share and reuse of ontology knowledge. Because of the ambiguity of concept, most ontology alignment systems combine a set of various measures and complete enumeration to provide the satisfactory result. However, calculating process becomes more complex and required time increases exponentially since the number of concept increases, more errors can appear at the same time. Lately the focus is on meta-matching using the heuristic algorithm. Existing meta-matching system tune extra parameter and it causes complex calculating, as a consequence, the results in the various data of specific domain are not good performed. In this paper, we propose a high performance algorithm by using DCS that can solve ontology alignment through simple process. It provides an efficient search strategy according to distribution of Levy Flight. In order to evaluate the approach, benchmark data from the OAEI 2012 is employed. Through the comparison of the quality of the alignments which uses DCS with state of the art ontology matching systems.

• Journal of KIISE
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• v.41 no.9
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• pp.686-698
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• 2014

Recently, large-scale streaming sensor data have emerged due to explosive supply of smart phones, diffusion of IoT and Cloud computing technology, and generalization of IoT devices. Also, researches on combination of semantic web technology are being actively pushed forward by increasing of requirements for creating new value of data through data sharing and mash-up in large-scale environments. However, we are faced with big issues due to large-scale and streaming data in the inference field for creating a new knowledge. For this reason, we propose the RDFS rule based parallel reasoning scheme to service by processing large-scale streaming sensor data with the semantic web technology. In the proposed scheme, we run in parallel each job of Rete network algorithm, the existing rule inference algorithm and sharing data using the HBase, a hadoop database, as a public storage. To achieve this, we implement our system and evaluate performance through the AWS data of the weather center as large-scale streaming sensor data.

• The KIPS Transactions:PartB
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• v.11B no.7 s.96
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• pp.813-820
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• 2004

This paper proposes a digital image watermarking which is robust to geometric distortions using an independent component analysis(ICA) of fixed-point(FP) algorithm based on secant method. The FP algorithm of secant method is applied for better performance in a separation time and rate, and ICA is applied to reject the prior knowledges for original image, key, and watermark such as locations and size, etc. The proposed method embeds the watermark into the spatial domain of original image The proposed watermarking technique has been applied to lena, key, and two watermarks(text and Gaussian noise) respectively. The simulation results show that the proposed method has higher speed and better rate for extracting the original images than the FP algorithm of Newton method. And the proposed method has a watermarking which is robust to geometric distortions such as resizing, rotation, and cropping. Especially, the watermark of images with Gaussian noise has better extraction performance than the watermark with text since Gaussian noise has lower correlation coefficient than the text to the original and key images. The watermarking of ICA doesn't require the prior knowledge for the original images.

• The KIPS Transactions:PartA
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• v.10A no.4
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• pp.321-330
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• 2003

This paper proposes an agent-based adaptive tutoring system that monitors learning process of learners' and provides learning materials dynamically according to the analyzed learning character. Furthermore, it uses fuzzy concept to evaluate learners' ability and to provide learning materials appropriate to the level of learners'. For this, we design a courseware knowledge structure systematically and then construct a fuzzy level set on the basis of it considering importance of learning targets, difficulty of learning materials and relation degree between learning targets and learning materials. Using agent, monitoring continually the learning process of learners 'inferencing to offer proper hints in case of incorrect answer in learning assesment, composing dynamically learning materials according to the learning feature and the evaluation of assesment, our system implements effectively adaptive instruction system. Moreover, appling the fuzzy concept to the system could naturally consider and ideal with various and uncertain items of learning environment thus could offer more flexible and effective instruction-learning methods.

• The KIPS Transactions:PartD
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• v.19D no.2
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• pp.139-146
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• 2012

Data Mining is widely used to discover knowledge in many fields. Although there are many methods to discover association rule, most of them are based on frequency-based approaches. Therefore it is not appropriate for stream environment. Because the stream environment has a property that event data are generated continuously. it is expensive to store all data. In this paper, we propose a new method to discover association rules based on stream environment. Our new method is using a variable window for extracting data items. Variable windows have variable size according to the gap of same target event. Our method extracts data using COBJ(Count object) calculation method. FPMDSTN(Frequent pattern Mining over Data Stream using Terminal Node) discovers association rules from the extracted data items. Through experiment, our method is more efficient to apply stream environment than conventional methods.

• The KIPS Transactions:PartD
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• v.18D no.1
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• pp.1-8
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• 2011

The cache structure, which is designed for assuring fast accesses to frequently accessed data, resides on the various levels of computer system hierarchies. Many studies on this cache structure have been conducted and thus many page-replacement algorithms have been proposed. Most of page-replacement algorithms are designed on the basis of heuristic methods by using their own criteria such as how recently pages are accessed and how often they are accessed. This data-retrieval process in computer systems is analogous to human memory retrieval process since the retrieval process of human memory depends on frequency and recency of the retrieval events as well. A recent study regarding human memory cognition revealed that the possibility of the retrieval success and the retrieval latency have a strong correlation with the frequency and recency of the previous retrieval events. In this paper, we propose a novel page-replacement algorithm by utilizing the knowledge from the recent research regarding human memory cognition. Through a set of experiments, we demonstrated that our new method presents better hit-ratio than the LRFU algorithm which has been known as the best performing page-replacement algorithm for DBMS caches.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.4
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• pp.203-210
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• 2017

Address resolution protocol (ARP) is used for binding a logical address to a physical address in many network technologies. However, since ARP is an stateless protocol, it always abused for performing ARP-based attacks. Researchers presented many technologies to improve ARP protocol, but most of them require a high implementation cost or scarify the network performance for improving security of ARP protocol. In this paper, we present an address auto-resoultion (AAR) network system to neutralize the ARP-based attacks. The AAR turns off the communication function of ARP messages(e.g. request and reply), but does not disable the ARP table. In our system, the MAC address of destination was designed to be derived from destination IP address so that the ARP table can be managed statically without prior knowledge (e.g., IP and MAC address pairs). In general, the AAR is safe from the ARP-based attacks since it disables the ARP messages and saves network traffics due to so.

• The KIPS Transactions:PartD
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• v.9D no.2
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• pp.289-296
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• 2002

The web, which is most actively used in the internet environment, is changing educational system. Students usually prefer the interactive and multimedia learning aids based on web applications and web media to static web pages. The former is known to enhance the effectiveness of learning. This paper proposes a study system which involves effective adaptation to the various changing factors of learners' progress and the corresponding automated evaluation system. Conventional evaluation utilizes normalized method, where the learning objectives generally set by the instructors or educational operators/administrators are usually pursued rather than the interest of the individual learners, which is not ideal for the computer-based learning. Web-based project-oriented learning system provokes the mutual participations among the users, operators, and administrators in understanding the jobs to be performed and the effort to enhance the progressive developments of knowledge and application capabilities. In this Paper, an automated evaluation system is implemented, where the instructors and web-operators/administrators work as hosts for education. The learners take advantage of user-oriented comparative learning and pattern design. The design and implementation of the project-oriented evaluation methods performed in the internet/intranet environments are discussed.