• 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.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.503-512
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• 2003

Recently many applications are being developed as web technologies are evolved rapidly, but the development emthodology and quality improvement speed of the web apllications is not so. The creations of Most web applications have developed depending on the developer's knowledge and experience without a systematic development methodologies. But the web-based application systems require the various developing gechniques and the rich developing methodogies for a design process. This paper applies the UML(Unified Modeling Language) supporting an object-oriented development methodology to the design and implementation of a mobile customer management system. That is, it appliesthe UML to the system modeling based on a story board and a requirement specification at the web development of the similar web applications. Applying UML to this system achieved the analysis and the design of an web application effciently.

• Journal of the Korean Home Economics Association
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• v.32 no.1
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• pp.199-210
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• 1994

My purpose in the paper is to research on what is the most productive education method for the Students for Future Dietitian(SFD) to be applied during there field training & practice. Furthermore it is an attempt to elucidate what is the most necessary education program for the field training & practice for SFDs. Five questionnaires were given to SFDs dealing with nutrition purchase hygienic facilities and official management in order to check and evaluate the current situation and problems on the education of field training & practice for SFDs Also I chose 140 SFD's who had been working in the field for at least one week or one month in 1992 and statistical processing were utilized and analyzed by SAS package. One of the most notable problems SDFs faced with during meal planning it is the fact that they had been educated and requested for the cut of food expenditure rather than the supply of scientifically balanced-nutrition meals for working people, SFDs also faced with of information on the quantity and facilities management from the dietitian in the company. my research revealed that dietitian's teaching method for SFDs still remains in a very primitive way and accordingly the efficient way to solve these problems shall be established by a computerized education program through which dietitians can provide well-balanced meals for working people when they are assigned to the company. In this regard we must consider that we have to enact certain law to be applied to a dietitian. In another words we should emphasize actual experiences of SFDs' knowledge accumulated through the field training & practice before they work at the company. Consequently it is a time to reconsider the importance of well-balance dietitian program offering an opportunity for SFD which can contribute to improvement of health's condition for the working people.

• The KIPS Transactions:PartD
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• v.13D no.2 s.105
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• pp.241-250
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• 2006

Software maintenance is an important and very expensive activity in software life cycle. To estimate the maintainability cost of software, many software metrics have been proposed. This paper presents the result of an experimental study to explore the relationship between maintainability and some software metrics. LCOM, RFC, DAC, and LOC are employed as metrics and time really spent for maintenance activity has been collected. In the experimental study, we have found that for some systems, the existing metrics may not be an indicator to maintenance effort, which is not consistent with our general knowledge on the relationship between them. Specifically speaking, we recognized that there should be more empirical study on the relationship between metrics and maintainability of softwares which have been developed using recent technologies such as software architecture and design pattern.