• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.5
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• pp.948-955
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• 2008

Recently, as the dissemination of the Internet and development of computer network technology, Research is actively underway for realization of the next-generation computing paradigm called Ubiquitous Computing. For realization of Ubiquitous computing, The data recognized from each sensors must be collected on real-time and transferred to applied service so that they may be used as data for providing service to users. However, there are several problem for realization. First, there is no standardization of sensor metadata, interface and event definition. Second, applied service has weak point that difficult of approaching to the data. Third, none interoperability with each platform and protocol. In this paper, we designed Sensor Service Description Language based on XML to resolve problem above. This Language expresses the measurement of the sensor and Service Metadata in the form to be standardized. In addition, we have proposed and development a reference model for USN application service.

• Journal of the Korean Chemical Society
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• v.58 no.4
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• pp.393-405
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• 2014

The purpose of this study was to investigate the characteristics of social interaction on cultural aspects, verbal interaction, and discussion maps in scientific modeling instruction on combustion in middle school. Revised-CLEQ (Cultural Learning Environment Questionnaire), verbal interaction framework, discussion maps analysis were implemented for this study. The results of study follow respectively. First, the characteristics on cultural aspects of middle school students showed cooperation rather than competition in terms of collectivism. Students' attitudes to learning science tended to depend on others' idea, and students were passive and reluctant to present their comments when they were modeling work. Second, for the characteristics of verbal interaction, they simply presented knowledge related to build a model. The response to comments and feedback was relatively few. Third, discussion maps showed a lot of interaction for reponses that was alternatively brought the concept of commenters, which students were depended on a specific one, and responses. There were not many interaction for elaboration, which were described to have new presented ideas, corrections, and reasons when they exchange their ideas. In this study the model type of interaction affecting the formation of the students understanding of and in our country, it makes a lot of social interactions as the basis for teaching system could be utilized.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.549-556
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• 2008

Web-based Enterprise Intranet System is developed Object-oriented programming language and data management is constructed using RDBMS. Between Object-oriented programming language and RDBMS bring about "Object-Relational Impedance Mismatch" due to heterogeneous paradigm. To solve this kinds of problems commonly use the ORM Framework that it is converting data between incompatible type systems in databases and object-oriented programming languages, uses complex mapping metadata. It causes difficult to develop and maintain because of inflexible in changes. This paper proposed persistence framework that solve the existing complexity of ORM framework and has more flexible in evolution of database table. This persistence framework is unnecessary meta information that connecting with entity of database table and the objects, it offers users convenience of maintenance and it allows far more flexible and affordable systems to be built because of automatically code generation. The result of testing based on the proposed persistence framework with Hibernate, iBATIS, It is similar response time with iBATIS and it has more about three times faster than Hibernate. But iBATIS has problems of mass data processing.

• Journal of The Korean Association For Science Education
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• v.21 no.2
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• pp.279-288
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• 2001

In this study, interaction patterns in peer small-group discussions with cognitive conflict strategy (CCS) and those with social consensus strategy (SCS) were compared. Verbal interactions of four small groups (16 students) in learning science concepts were analyzed at the levels of turns, interaction units, and episodes. The frequencies of total turns and knowledge construction turns per discussion for the SCS group were higher than those for the CCS group. Comparing and evaluating hypotheses and discussion worksheets provided were especially effective in increasing metacognitive utterances of the SCS group students. The frequencies of 'most students participating mode', 'elaborative interaction mode', and 'exploratory episode' for the SCS group were higher than those for the CCS group. These suggested that more students in the SCS group participated in small-group discussions and their discussions were more interactive and elaborative. The interactions and episodes of the SCS group were also superior in quality to those of the CCS group.

• Archives of design research
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• v.17 no.1
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• pp.201-210
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• 2004

The web as a sign synthesis text has become a kernel for incorporeal knowledge as well as a communication model through the ubiquitous environment all over the world. The evaluation of the communication model, which is essential for the information structure, acts as an important basis on determining the quality of the web contents. In this study, the development of the progress of the communication of semantic meaning in the construction of the information structure was analyzed in views of the form, the function, and the emotional effect of the rich media contents of the web. The transformation process from the initial access elements through the final selection elements was suggested as the communication model and the effects of the function of the information in the web on the process was assessed by the engineering and linguistic models of Shannon, Weaver, and Roman Jakobson. The results of this study showed that the environments such as the speed, the memory space, data compression technique, and data filtering have influences on the web contents expression and the evaluation of the communication model in connection with the environments is the basis in the information structure.

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.355-364
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• 2002

Recently, WWW(World Wide Web) has become a source of a large amount of information, and is now recognized not only as an information-sharing tool, but also as an information repository. Currently, the majority of documents on the web were created using HTML(Hypertext Markup Language). Although HTML is simple and easy to learn, its inherent lack of describing document structure makes it difficult to retrieve information effectively. One possible solution would be to convert such HTML documents into XML (extensible Markup Language) documents. This is a standard markup language for exchanging data on the web. It can describe a document structure freely by defining its own DTD (Document Type Definition). This makes it possible to integrate, store, and retrieve data on the web efficiently In this paper, we will propose a converter that automatically converts HTML documents with similar pattern into XML documents by analyzing the document structure and recognizing its path information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.6
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• pp.1182-1189
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• 2007

As ubiquitous environment rapidly emerges due to the development of network and information communication technology, ubiquitous computing is being noticed as a technology that will take the lead in information technology industry of the future. To the end, the data recognized from each sensors, collected and processed need be transferred to applied service so that they may be used as data for providing sum to users. However, in reality as the definitions of metadata and platform for each sensor are not clear, approach from applied service for data use is difficult and there are limitations in transferring sensor measurement data of the applied service because of the difference of platform and protocol. In this paper, we designed sensor service technology language that expresses sensor and measurement data and describes the service though sensor data service. Also the researcher implemented a sensor data processing system that transfers sensor data to the applied service by using web service. The thesis will apply a reference model for standardization to guarantee mutual compatibility in exchanging sensor data through the system.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.4
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• pp.129-149
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• 2022

Records have temporal characteristics, including the past and present; linguistic characteristics not limited to a specific language; and various types categorized in a complex way. Processing records such as text, video, and audio in the life cycle of records' creation, preservation, and utilization entails exhaustive effort and cost. Primary natural language processing (NLP) technologies, such as machine translation, document summarization, named-entity recognition, and image recognition, can be widely applied to electronic records and analog digitization. In particular, Korean deep learning-based NLP technologies effectively recognize various record types and generate record management metadata. This paper provides an overview of Korean NLP technologies and discusses considerations for applying NLP technology in records management. The process of using NLP technologies, such as machine translation and optical character recognition for digital conversion of records, is introduced as an example implemented in the Python environment. In contrast, a plan to improve environmental factors and record digitization guidelines for applying NLP technology in the records management field is proposed for utilizing NLP technology.

• Journal of The Korean Association For Science Education
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• v.26 no.1
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• pp.16-24
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• 2006

The purpose of this study was to compare student-student verbal interaction from two type's experiments; problem-solving and task-solving. For this study, five 3rd grade middle school students were selected and their verbal interactions recorded via voice and video; and later transcribed. The student-student verbal interactions were classified as questions, explanations, thoughts, or metacognition fields, which were separated into deep versus surface learning approaches. For the problem-solving experiment, findings revealed that the number of verbal interactions is more than doubled and in particular, the number of verbal interactions using deep-approach is more than quadrupled from the point of problem-recognition to problem-solution. As for the task-solving experiment, findings showed that verbal interactions remained evenly distributed throughout the entire experiment. Finally, it was also discovered that students relied upon a more deep learning approach during the problem-solving experiment than the task-solving experiment.

• Journal of The Korean Association of Information Education
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• v.18 no.3
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• pp.413-422
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• 2014

The positive impacts of robotics education and programming education on learners are similar. However, robotics education differs from programming education because it includes purchasing and building robots that cause financial and cognitive load of learners. Due to these differences, two kinds of education may not possess equal efficacies for all schools or all learning objectives. To verify this hypothesis, we conducted meta-analysis of studies on robotics education published in South Korea to estimate the effect sizes and compare it to that of programming education. The difference between the average effect sizes of robotics education and of programming education was significant, as the former was 0.4060 and the latter 0.6664. The average effect size of programming education was significantly larger than that of robotics education for primary school students. Middle school students achieved the highest results in both robotics education and programming education. Also, robotics education became more effective than programming education as students were older. Analysis on objectives showed that programming education uniformly affected all areas, whereas robotics education had more impact on affective domain than cognitive domain. Robot construction had the largest effect size, followed by robot construction and programming, robot programming, and robot utilization. Programming education has larger positive impacts on students overall compared to robotics education. Robotics education is more effective to upperclassmen than programming education, and improves affective domain of students. Also, robotics education shows higher efficacy when combined with various subjects.