• Journal of The Korean Association of Information Education
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• v.5 no.3
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• pp.380-388
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• 2001

In this Information Age, the needs for the performance evaluation is raising to increase the higher-thought ability for creativity and problem-solving, to improve the quality of the teaching-learning process. However, it is very difficult to carry out the authentic performance evaluation in our educational environment. Therefore, we design and implement the Performance Evaluation Processing System as one of the learning-teaching processes. We study the theoretical base of evaluation types and of learning-teaching methods, and inquire appropriate performance evaluation methods. Among the methods, we focus on the Report, a type of performance evaluation using the most widely in the Society. We constitute a basic form and design the evaluation system of the Report. The evaluation system consist of the teacher's module and the learner's module. Teachers make the form of report, provide it for learners and evaluate the report on teacher's module, Learners make out the report, submit it to the teacher and use it for presentation in class, on learner's module, The teacher and learner can apply this system as follows. The teacher can use the report that have been already made, or that make for themselves as a step for evaluation and they can evaluate learners by the submitted report. The learner not only can see their own result of evaluation but also can use ICT at their presentation.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.5 s.311
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• pp.30-36
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• 2006

In this paper, a new type of written image segmentation based on relative comparison of region areas is proposed. The original image is composed of two distinctive regions; information and background. Compared with this binary original image, the observed one is the gray scale which is represented with complex regions with speckles and noise due to degradation or contamination. For applying threshold or statistical approach, there occurs the region-deformation problem in the process of binarization. At first step, the efficient iterated conditional mode (ICM) which takes the lozenge type block is used for regions formation into the binary image. Secondly the information region is estimated through selecting action and restored its primary state. Not only decision of the attachment to a region but also the calculation of the magnitude of its area are carried on at each current pixel iteratively. All region areas are sorted into a set and selected through the decision parameter which is obtained statistically. Our experiments show that these approaches are effective on ink-rubbed copy image (拓本 'Takbon') and efficient at shape restoration. Experiments on gray scale image show promising shape extraction results, comparing with the threshold-segmentation and conventional ICM method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.6A
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• pp.550-557
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• 2007

We predict a context of various structures by using Bayesian Networks Algorithms, Three-Dimensional Structures Algorithms and Genetic Algorithms. However, these algorithms have unavoidable problems when providing a context-aware service in reality due to a lack of practicality and the delay of process time in real-time environment. As far as context-aware system for specific purpose is concerned, it is very hard to be sure about the accuracy and reliability of prediction. This paper focuses on reasoning and prediction technology which provides a stochastic mechanism for context information by incorporating various context information data. The objective of this paper is to provide optimum services to users by suggesting an intellectual reasoning and prediction based on hierarchical context information. Thus, we propose a design of user location prediction algorithm using sequential matching with n-size flexible window scheme by taking user's habit or behavior into consideration. This algorithm improves average 5.10% than traditional algorithms in the accuracy and reliability of prediction using the Flexible Window Scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.2
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• pp.387-393
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• 2014

In recent years, the spread of computers is increasing, and efficient processing effort for unstructured Big Data is required. In this paper, we are proposed a system to extract the data typed in a word processor quickly by user creating and XML mapping file after converting XML data that has been entered in the office file(HWP, MS-office). In addition, we proposed a system is able to lookup the necessary data from a database by entered form in advance and convert word processor document to office files by the application program. The unstructured big data will be available to be used.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.4
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• pp.95-102
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• 2016

Computer security incident such as confidential information leak and data destruction are constantly growing and it becomes threat to information in digital devices. To respond against the incident, digital forensic techniques are also developing to help digital incident investigation. With the development of digital forensic technology, a variety of forensic artifact has been developed to trace the behavior of users. Also, a diversity of forensic tool has been developed to extract information from forensic artifact. However, there is a issue that information from forensic tools has its own forms. To solve this problem, it needs to process data when it is output from forensic tools. Then it needs to compare and analyze processed data to identify how data is related each other and interpret the implications. To reach this, it calls for effective method to store and output data in the course of data processing. This paper aims to propose DFIOC (Digital Forensic Indicators Of Compromise) that is capable of transcribing a variety of forensic artifact information effectively during incident analysis and response. DFIOC, which is XML based format, provides "Evidence" to represent various forensic artifacts in the incident investigation. Furthermore, It provides "Forensic Analysis" to report forensic analysis result and also gives "Indicator" to investigate the trace of incidence quickly. By logging data into one sheet in DFIOC format for forensic analysis process, it is capable of avoiding unnecessary data processing. Lastly, since collected information is recorded in a normalized format, data input and output becomes much easier as well as it will be convenient to use for identification of collected information and analysis of data relationship.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.6B
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• pp.375-381
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• 2007

This paper focuses on the prediction algorithm among the context-awareness technologies. With a representative algorithm, Bayesian Networks, it is difficult to realize a context-aware as well as to decrease process time in real-time environment. Moreover, it is also hard to be sure about the accuracy and reliability of prediction. One of the simplest algorithms is the sequential matching algorithm. We use it by adding the proposed Cache Scheme. It is adequate for a context-aware service adapting user's habit and reducing the processing time by average 48.7% in this paper. Thus, we propose a design method of user location prediction algorithm that uses sequential matching with the cache scheme by taking user's habit or behavior into consideration. The novel approach will be dealt in a different way compared to the conventional prediction algorithm.

• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.103-110
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• 2006

The Game development process that the Korea Game Development Infinity researches and publishes has laid important groundwork for the game industry. However, the game design cannot guarantee a software quality because an artifact is made incorrect by a game planner's new idea and modification. In this paper theorized the system to maintain artifacts consistently that is generated in planning phase and make changed contents traceable. First, it defined an ACT graph to represent relation of between artifacts, a ACT table that traces and manages it changes and a table of artifacts change history. Also, it suggested the ACT process applying as we mentioned above. Then we worked a case study to verify the change tracking technique which is presented. In a case study, we find game designer is capable to grip and modify a change of artifacts when it occurs a change of game design artifacts. As a result of that, we can save the time and effort to maintain the consistency among game design artifacts.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.8
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• pp.181-188
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• 2020

The fisheries industry is rapidly shifting from a traditional fishery to aquaculture paradigm and it faces various problems such as depletion of fishery resources and aging of fishing villages. We need the establishment of a fisheries big data platform that includes both the data of the central and surrounding industries of the fisheries industry for enhancement of establishment of a fisheries, 6th industrialization of fishing villages, establishment of related technical standards, and discovery of the new industries to overcome this. Data center agencies should collect, link, and pre-processing, and the platform organizer should create a water industry data virtuous circle through the establishment, operation, and data market of big data platforms to help overcome the current crisis, secure smart fisheries hegemony, and use it as a key to value transfer. Through this study, I would like to propose a policy and technical big data platform construction plan to successfully promote it.

• The KIPS Transactions:PartA
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• v.11A no.2
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• pp.213-222
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• 2004

Today's Web-based teaching-learning is developing in the direction that learners select and organize the contents, time and order of learning by themselves. That is, it is evolving to provide teaching-learning environment adaptive to individual learners' characteristics(their level of knowledge, pattern of study. areas of interest). This study analyzed learners' learning paths among the variables of learners' characteristics considered important in Web-based teaching- learning process using the Apriori algorithm and grouped learners who had similar learning paths. Based on the result, the author designed and developed a learning-path individualization system In order to provide learners with learning paths, Interface, the progress of learning etc. The proposed system is expected to provide optimal learning environment fit for learners' pattern of study and to be enhancing individual learner's learning effects

• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.1-10
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• 2002

Metadata is data about data that is used to mange data itself. As applications based on DBMS are increased, it is suggested that metadata model and metadata interchange model to manage metadata in DBMS. but metadata which is in the form of XML (eXtensible Markup Language) document is generally stored into RDBMS. Therefore In this paper, as for the method to store metadata of RDBMS into OODBMS, we design metadata model, metadata interchange model and implement new repository system. The metadata of RDBMS is translated into in the form of XML Document and integrated into XML Data Server on OODBMS, eXcelon and executes retrieval metadata information about RDBMS by XQL(XML Query Language). So It is possible to searchm edit a metadata. The metadata of XML documents stored in eXcelon is easily made to be printed in web browser by applying a XSL (extensible StyleSheets Language). So we can have a detail information about property of metadata in DBMS.