• Korean Journal of Remote Sensing
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• v.3 no.2
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• pp.115-119
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• 1987

After the introduction of the topologically structured geographic information system(GIS) with relational DBMS, the attribute data can be handled without considering locational data. By utilzing of the characteristic of the relational DBMS, it can be used as an expert system building tool in GIS. The relational DBMS of the GIS furnishes the data needed to perform deductive functions of the expert system, and the rule based approach provides the decision rules. Therefore, rule based approach with the expert judgement can be easily combined with relational DBMS.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.530-540
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• 2003

As the amount of information on Internet sites increases, it becomes more necessary to provide information in efficient ways. However, information search methods based on Boolean combination of keywords that most sites provide are difficult to express user's intention adequately so that there are numerous unexpected search results. This paper proposes a conversational agent that provides users with accurate information in a friendly manner through natural language conversation. The agent recognizes user's intention by applying finite state automata to natural language queries, utilizes the intention for structured pattern matching with response knowledge, and thus provides answers that are robust against changes in word order and consistent with the user's intention. To show its practical utility, the agent is applied to the problem of introducing a Web site. The results show that the conversational agent has the ability to provide accurate and friendly responses.

• Spatial Information Research
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• v.22 no.6
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• pp.13-21
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• 2014

This study defines concept and service framework of Geo-Spatial Big Data(GSBD). The major concept of the GSBD is formulated based on the 7V characteristics: the general characteristics of big data with 3V(Volume, Variety, Velocity); Geo-spatial oriented characteristics with 4V(Veracity, Visualization, Versatile, Value). GSBD is the technology to extract meaningful information from Geo-spatial fusion data and support decision making responding with rapidly changing activities by analysing with almost realtime solutions while efficiently collecting, storing and managing structured, semi-structured or unstructured big data. The application area of the GSBD is segmented in terms of technical aspect(store, manage, analyze and service) and public/private area. The service framework for the GSBD composed of modules to manage, contain and monitor GSBD services is suggested. Such additional studies as building specific application service models and formulating service delivery strategies for the GSBD are required based on the services framework.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.465-474
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• 2016

The present study is aimed to find the effect of the activity of writing a structured reflection journal in the learning process of PBL-based programming on the logical thinking of elementary school students. To achieve the objective, this study carried out an experiment with 59 elementary school students in the 5th grade. They were divided into an experimental group and a control group. The experimental group was applied with PBL-based programming classes by learning step, including learning of the contents, its procedure, and the activities of writing a critical reflection journal while the control group received learning of PBL-based programming including unstructured reflection journal. And then the difference in their logical thinking was compared and analyzed before and after th experiment. The results demonstrated that the experimental group showed a significant difference in logical thinking before and after writing structured reflection journal (ANCOVA) at the significance level of .05, which evidenced writing a structured reflection journal has learning effect. Intergroup comparison of logical thinking also showed that there was learning effect. Those findings suggest that writing a structured reflection journal in the PBL-based programming learning for 5th grade elementary school students has a positive effect on the learners' logical thinking.

• Journal of the Korean Society for Railway
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• v.9 no.5 s.36
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• pp.539-543
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• 2006

We need to make the standards of maintenance information for urban transit to reduce the cost to maintain the information and to share the information with maintenance workers. It is enable to do systematic maintenance for urban transit by using the information system based on the standardized information. In this paper we propose the major items to standardize and the methods to lay out the standard schemes to enable structured maintenance. We present the 4 items, bill of material, material classification, accident/fault classification, electronic document, to standardize. And we propose how to implement the information system for urban transit based on the standardized information. We describe the implemented information system in two parts; a rolling-stock and an infrastructure part. And also we describe the result of survey to evaluate the system installed at Seoul Metro and Seoul Metropolitan Rapid Transit.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.127-134
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• 2022

Recently, policies and research to prevent increasing construction accidents have been actively conducted in the domestic construction industry. In previous studies, the prediction model developed to prevent construction accidents mainly used only structured data, so various characteristics of construction sites are not sufficiently considered. Therefore, in this study, we developed a machine learning-based construction accident prediction model that enables the characteristics of construction sites to be considered sufficiently by using both structured and text-type unstructured data. In this study, 6,826 cases of construction accident data were collected from the Construction Safety Management Integrated Information (CSI) for machine learning. The Decision forest algorithm and the BERT language model were used to train structured and unstructured data respectively. As a result of analysis using both types of data, it was confirmed that the prediction accuracy was 95.41 %, which is improved by about 20 % compared to the case of using only structured data. Conclusively, the performance of the predictive model was effectively improved by using the unstructured data together, and construction accidents can be expected to be reduced through more accurate prediction.

• Advanced Industrial SCIence
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• v.1 no.1
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• pp.7-15
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• 2022

To adopt the development in the medical scenario IoT developed towards the advancement with the processing of a large amount of medical data defined as an Internet of Medical Things (IoMT). The vast range of collected medical data is stored in the cloud in the structured manner to process the collected healthcare data. However, it is difficult to handle the huge volume of the healthcare data so it is necessary to develop an appropriate scheme for the healthcare structured data. In this paper, a machine learning mode for processing the structured heath care data collected from the IoMT is suggested. To process the vast range of healthcare data, this paper proposed an MTGPLSTM model for the processing of the medical data. The proposed model integrates the linear regression model for the processing of healthcare information. With the developed model outlier model is implemented based on the FinTech model for the evaluation and prediction of the COVID-19 healthcare dataset collected from the IoMT. The proposed MTGPLSTM model comprises of the regression model to predict and evaluate the planning scheme for the prevention of the infection spreading. The developed model performance is evaluated based on the consideration of the different classifiers such as LR, SVR, RFR, LSTM and the proposed MTGPLSTM model and the different size of data as 1GB, 2GB and 3GB is mainly concerned. The comparative analysis expressed that the proposed MTGPLSTM model achieves ~4% reduced MAPE and RMSE value for the worldwide data; in case of china minimal MAPE value of 0.97 is achieved which is ~ 6% minimal than the existing classifier leads.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.87-101
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• 2009

The current information system audit merely inspects a web based information system by focusing on checking items that are extracted from structured and information engineering model and object-oriented component model. As a result, the checking item of web contents and design is inadequate. This paper aims to extract audit framework in order to strengthen the audit of web contents and design during the development of the web based information system and to suggest checking items based on audit framework. For this, the web development process and web site evaluation model were studied, compared, and analyzed with the current information system development audit. From a result of the survey, it was found that the adequacy of the suggested audit framework and audit checking items is above the average value. It is believed that the suggested audit framework is helpful for the audit of web based information system.

• Asia pacific journal of information systems
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• v.9 no.3
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• pp.127-142
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• 1999

There have been strong arguments that the best organizational type for the information society is a network organization which is intelligent and learning-oriented as well as has problem solving capacities rather than a traditional passive organization which strictly follows standard operating procedures. In this perspective, integrated information work environment emerges as attractive work environment for the 21st century. Integrated information work environment is defined as an integrated electronic environment that is available to and readily accessible be each employee and is structured to provide immediate, individualized on-line access to the full range of information, software, guidance, advice and assistance, data, images, tools, and assessment and monitoring systems to permit job performance with minimal support and intervention by others. Case study was performed to measure the productivity improvement by implementing integrated information work environment in life insurance company. The results show that there is a number of indications of strong work productivity improvements.

• Korean Journal of Adult Nursing
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• v.12 no.2
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• pp.286-295
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• 2000

Nurses play an important role in patient education, including providing patients with useful and appropriate information. The purpose of this study was to explore what particular types of information were important to women diagnosed with breast cancer. Sixty seven women with breast cancer an outpatient clinic in W Christian Hospital responded to the structured questionnaires developed by the investigator. Interviews and mail surveys were used in this study. The findings in this study showed that six kinds of information needs arose, ranked as the signs and symptoms of recurrence, the possibility of recurrence, the possibility of metastasis, treatment, diet and physical activities in daily living. Marital status, level of education, and level of monthly income were not related to level of informational need. Younger women rather than older women had a greater need to seek information(r=-.471, p<.01). There was a significantly negative relationship between duration of disease and the score on information needs(r=-.32, p<.05). The findings have implications that the opportunity to ask questions and have accurate information on the recurrence should be provided to women with breast cancer.