• Journal of Information Technology Applications and Management
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• v.29 no.5
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• pp.27-37
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• 2022

This study intends to link agricultural machine history data with related organizations or collect them through IoT sensors, receive input from agricultural machine users and managers, and analyze them through AI algorithms. Through this, the goal is to track and manage the history data throughout all stages of production, purchase, operation, and disposal of agricultural machinery. First, LSTM (Long Short-Term Memory) is used to estimate oil consumption and recommend maintenance from historical data of agricultural machines such as tractors and combines, and C-LSTM (Convolution Long Short-Term Memory) is used to diagnose and determine failures. Memory) to build a deep learning algorithm. Second, in order to collect historical data of agricultural machinery, IoT sensors including GPS module, gyro sensor, acceleration sensor, and temperature and humidity sensor are attached to agricultural machinery to automatically collect data. Third, event-type data such as agricultural machine production, purchase, and disposal are automatically collected from related organizations to design an interface that can integrate the entire life cycle history data and collect data through this.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.2
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• pp.160-171
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• 2008

MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

• The KIPS Transactions:PartA
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• v.10A no.6
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• pp.757-768
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• 2003

Recently, the renewable energy resources play an important role as an energy resources of future due to an environmental pollution and lack of resources and so on. The development and diffusion of information systems related to renewable energy resources have been driven actively abroad. However, at domestic an efficient history management for renewable energy resource data and web retrieve service are not provided. Therefore, in this paper, we propose a history data management system for the renewable energy resources, which stores and manages vast history information of renewable energy resource data systematically. This system collects renewable energy resource data in the outside observation system and stores them in the history database. The stored Information is retrieved through the history query process and can be provided in various forms - table, graph, chart and counter line, etc. - on the internet. Especially, the proposed system manages the history data in real-time so the latest information is always provided to the users through the web interface.

• Journal of architectural history
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• v.32 no.1
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• pp.73-88
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• 2023

Recently, local studies looking at the 'local(region) as a whole' are gradually increasing. The study of local architectural history is important in that it provides specific information that encompasses the local and the entire and clues to three-dimensionalize the time and space in the local. To infer the 'presentness' of each era, reliable data in various fields are needed. Recently, as many databases (DB) and archives, from the 'National Archives of Korea' to other local archives, have been established and publicized, research resources in the local are growing rapidly in quantity and quality. Nevertheless, it is difficult to comprehensively check the data necessary to study the local architectural history(local architectural history research resources). Against this background, this study confirmed the trend of changes in the archive construction environment and the status and problems of local architectural history research resources in places that currently disclose local history research resources among generalized web-archives. Next, the relationship between the actual research on local architectural history was confirmed through the analysis of existing studies and the data used for Jeju. As a result, local studies, local archives, and local architectural history research agree with recent changes in local research trends, and the degree of archival construction has reached the same level as the available research resources except core data in local architectural history research. However, there is a problem that the density of information that can be used is low because the local architectural history research resources that can be obtained are fragmented because there are no archives and construction entities specialized in local architecture. As each archive has entered the stabilization and upgrading stage, the construction of new archives needs to be reconsidered, but it is time to find a detailed way to link related information quickly and accurately, such as private records, to reduce the gap in information needed in terms of research on local architecture and architecture history.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.375-384
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• 2007

As teachings that use the ICT are more popular, many studies on the dynamic geometry environment(DGE) are under way. An important factor emphasized in the studies is to practical use learning activities of learners. In this study, we first define the learning history data in DGE. Second we develop a prototype of the DGE that is able to collect and analyze the learning history data automatically. The environment enables not only to grasp leaning history but also to create and manage new learning objects.

• Korean Journal of Computational Design and Engineering
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• v.10 no.4
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• pp.262-273
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• 2005

For CAD data users, few things are as frustrating as receiving CAD data that is unusable due to poor data quality. Users waste time trying to get better data, fixing the data, or even rebuilding the data from scratch from paper drawings or other sources. Most related works and commercial tools handle the boundary representation (B-Rep) shape of CAD models. However, we propose a design history?based approach for healing CAD model errors. Because the design history, which covers the features, the history tree, the parameterization data and constraints, reflects the design intent, CAD model errors can be healed by an interdependency analysis of the feature commands or of the parametric data of each feature command, and by the reconstruction of these feature commands through the rule-based reasoning of an expert system. Unlike other B Rep correction methods, our method automatically heals parametric feature models without translating them to a B-Rep shape, and it also preserves engineering information.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.1
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• pp.7-23
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• 2001

This study was done to provide basic data on prevention of breast cancer by identifying and analyzing risk factors for breast cancer in Korean women. The data were collected from three hospitals. The data from Jan. 1995 to Dec. 1997 was based on the patient recordings and personal contacts if possible. Data from 1998 to 1999 was collected from 280 inpatients and outpatients diagnosed as breast cancer. From this data, information about the risk factors of breast cancer could be acquired. The factors are scaled according to the degree of risk. Menstrual history, obstetrical history, family history. lactation period, life style were given 5 point, and body mass index was given 4 point. Using one-way ANOVA. the most important risk factors were identified and analyzed by multiple regression. The conclusion of this study are as follows : General factors which would show an effect on the results of the multiple regression included risk factors such as menstrual history, obstetrical history, lactation period, family history, and life style factors including mortal state, monthly income, educational level, job and age. Family history(R=0.481) was found to be the highest risk factor(23.1%) affecting breast cancer risk. The next factors were dying hair(R=0.603), drinking(R=0.846), body mass index(R=0.885), smoking(R=0.916), age of menopause(R=0.937), pregnancy age of first full-term(R=0.957), eating vegetable(R=0.980) and the number of full term pregnancies in that order. The sum total(R=0.986) of all the above factors accounted for 97.3% of the risk of breast cancer for Korean women. In conclusion, it was found that family history and dyeing hair were the highest risk factors for breast cancer. It is recommended that those with a family history of breast cancer should have regular breast examinations, and those who often dye their hair should reconsider this practice.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.388-394
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• 2007

In wireless network, we propose a predictive location update scheme which considers mobile user's(MU's) mobility patterns. MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

• Journal of architectural history
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• v.1 no.1 s.1
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• pp.240-254
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• 1992

The purpose of this paper is to suggest new direction to the historical research society of Korean architecture by epistemological discussion. Korean architectural history at present, without question of history for what, for whom, and how, is regarded as 'history for the past' only 'to describe past' or 'to collect correct data' However, history is beyond that; history ought to suggest a direction of present and near future. Moreover, architecture is not pure but applied knowledge, that is, focused to 'how to build'. Therefore, past historical knowledge by research should influence to present design. In order to do that, history of mere data collection should change direction to the history of meaning by interpretation, and then, of finding design principle. The principle used in architectural community becomes theory in scientific research community, and finally is unified to 'theory of practice'. Creative history should be substituted for retrospective history reusing historical reservoir, at the specific situation of Korea; tradition has been discontinued drastically and Western method imported to the point of being culturally-colonized. Some expmples of altanative history are suggested at the end of this paper as conclusion.

• Journal of The Korean Association For Science Education
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• v.39 no.5
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• pp.613-624
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• 2019

The purpose of this study is to explore high school students' perception of the relationship among science, history, and history of science which is one of the career elective subjects in the 2015 revised science curriculum. This study compares students' perception before and after experiencing history of science course. To do this, data in the format of Venn diagram that students draw to represent their perception on relationship between the history of science, science, and history were collected. The collected data were inductively categorized. As a result of analyzing the Venn Diagram data, there are five different kinds of categories: 'History of science as an intersection of science and history,' 'History of science as an independent domain,' 'History of science as part of history,' 'History of science as part of science,' and 'History of science encompassing both science and history.' And there were 27 different sub-categories within the 5 categories. In addition, before taking the course on history of science, many students tended to regard science history as the intersection of science and history. However, after the course, students' perception changed and differed according to their affiliated academic track. For the humanities, history of science is perceived as part of history, and for the students in science track it is perceived as a part of science. Based on these findings, we suggest that history of science teaching-learning should be conducted that help high school students to experience a new perspective that is different from the curriculum in affiliated academic track.