• KIISE Transactions on Computing Practices
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• v.22 no.8
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• pp.387-392
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• 2016

Context-aware systems require sensor data collecting model and context representing model to provide user-demand services. Sensor data collecting model consists of sensor access information, sensor value, and definition of value types. Context representing model involves certain keywords to symbolize environmental information including the field from sensor data collecting model that is described in markup language such as XML. However, duplicated keywords could be assigned to different contextual information by service developers. As a result, the system may cause misunderstanding and misleading wrong situational information from unintended contextual information. In this paper, we propose a context classification model for collecting appropriate access information and defining the specification of context.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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• pp.101-108
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• 2010

Objectives : Recently, in Sasang Constitution Medicine (SCM), many researchers have studied to construct objective diagnose tool for the SCM type. It is most important to collect correct constitutional clinical data in these studies. Methods : In our work, we construct a web-based system for collecting constitutional clinical data effectively. Results & Conclusion : The system offers 4 types of input programs, which helps to collect clinical information from various hospitals, and performs verification service to minimize input errors. Currently, we have collected about four thousands data using the our system and we will provide several analysis tool in the system for researchers.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.57-64
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• 2016

In this paper, we propose the design of railway safety common data model to provide common transformation method for collecting data from railway facility fields to Real-time railway safety monitoring and control system. This common data model is divided into five abstract sub-models according to the characteristics of data such as 'StateInfoMessage', 'ControlMessage', 'RequestMessage', 'ResponseMessage' and 'ExtendedXXXMessage'. This kind of model structure allows diverse heterogeneous data acquisitions and its common conversion method to DDS (Data Distribution Service) format to share data to the sub-systems of Real-time railway safety monitoring and control system. This paper contains the design of common data model and its DDS Topic expression for DDS communication, and presents two kinds of data transformation case studied for verification of the model design.

• Journal of Korea Multimedia Society
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• v.18 no.9
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• pp.1131-1139
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• 2015

The purpose of this research is creating the visualization platform of the user interface to make able to be provide the demanded service while users communication with surrounding space in a smart city environment. This comes from the latest enhanced interface technology and social media, and it uses the shares information to support the proper interface environment according to a life style and spatial properties. "EzCity" which is the user interface platform suggested in this research, can control the enormous amount of public data for the smart city. The core module of user platform is made up with Public data module, Interface module, Visualization module and Service module. The role of this platform is to be provide "Geo-Intelligent Interface Service" for space users to access the data in easier and more practical interface environment. This reinforces the visualization process for data collecting, systematization, visualization and providing service. Also this will be expected to be the base to solve the problem which complexity and rapidly increasing amount of data.

• International Journal of Contents
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• v.8 no.2
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• pp.28-35
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• 2012

This study attempted to examine the phenomenon of information society in education by exploring pre-service teachers' use of technology. Pre-service teachers from the USA and Korea participated in the study. Surveys and interviews were conducted to collect the data. The NET and ISST which are the national educational technology standards for each country were used as survey instruments. Focused interviews were conducted with 10 participants after analyzing the data for collecting more information. Based on the study results, technology is not deeply infused into education yet and the degrees of technology infusion were different in two countries. The participating pre-service teachers were not quite confident in their abilities to integrate technology into their lessons.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.83-92
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• 2015

Many data on the web are present, put out by processing in the content in order to provide services by collecting the necessary data is not easy. One of the reasons is because there is no way to provide a standardized data. Therefore, it can be seen as a part or all of the contents of the site, the content distribution to be available for other services is very important. A syndication format that allows you to use a representative of some or all of the site's content for other services such as RSS and there are Atom, OPML-based XML. Throughout the links provided in this syndication format is called feed address. With a feed address to collect data faster than the conventional HTML parsing and data provider is the advantage of being able to easily provide the data to the outside. In this study, we feed the data obtained by collecting by implementing the web address based on the data acquisition system to propose a method for processing and utilizing the data as a background.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.459-469
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• 2021

In this paper, a case study of basic data science practice education for field teachers and pre-service teachers was studied. In this paper, for basic data science education, spreadsheet software was used as a data collection and analysis tool. After that, we trained on statistics for data processing, predictive hypothesis, and predictive model verification. In addition, an educational case for collecting and processing thousands of public big data and verifying the population prediction hypothesis and prediction model was proposed. A 34-hour, 17-week curriculum using a spreadsheet tool was presented with the contents of such basic education in data science. As a tool for data collection, processing, and analysis, unlike Python, spreadsheets do not have the burden of learning program- ming languages and data structures, and have the advantage of visually learning theories of processing and anal- ysis of qualitative and quantitative data. As a result of this educational case study, three predictive hypothesis test cases were presented and analyzed. First, quantitative public data were collected to verify the hypothesis of predicting the difference in the mean value for each group of the population. Second, by collecting qualitative public data, the hypothesis of predicting the association within the qualitative data of the population was verified. Third, by collecting quantitative public data, the regression prediction model was verified according to the hypothesis of correlation prediction within the quantitative data of the population. And through the satisfaction analysis of pre-service and field teachers, the effectiveness of this education case in data science education was analyzed.

• Journal of Information Technology Applications and Management
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• v.30 no.2
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• pp.19-30
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• 2023

This study aims to analyze service improvement and success factors of electric scooter sharing service companies by using text mining after collecting reviews of shared electric scooter service applications among various models of sharing economy. In this study, the factors of satisfaction and dissatisfaction of service users were identified using the term frequency inverse document frequency (TF-IDF) technique, and topics for each keyword were extracted using the Latent Dirichlet Allocation (LDA) Topic Modeling technique. According to the analysis results, the main topics were entertainment, safety, service area, application complaints, use complaints, convenience, and mobility. Using the analysis results of this study, employees and researchers of electric scooter sharing service companies will be able to contribute to the improvement and success of related services.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.1
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• pp.107-120
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• 2008

Building a competency of pre-service school teachers is one of the critical factors to decide right direction of k-12 computer & information education. In this context, we can realize of the importance of computer & information curriculum for pre-service school teachers. The purpose of this study is to explore the case of the CEL(Computer Educator License) program in Indiana University and to find the developmental direction of technology education for pre-service school teachers. To achieve the purpose of study, the methods and procedures involved the following steps: The literature reviews of technology education were performed. The analysis framework based on case study method was designed for collecting data. Data were composed of related documents, web resources, and interview resources. And collected data were analyzed. The finding and recommendation of this study were the importance of following factors: (a) technology integration in the curriculum for pre-service school teachers, (b) differentiated management with skill-based technology education, (c) leadership for using and diffusing technology in the school, and (d) connected curriculum with the national standard indicator.

• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.83-88
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• 2021

Cloud services have become the core infrastructure of the digital economy as a basis for collecting, storing, and processing large amounts of data to trigger artificial intelligence-based services and industrial innovation. Recently, cloud services have been spotlighted as a means of responding to corporate crises and changes in the work environment in a national disaster caused by COVID-19. While the cloud is attracting attention, the speed of adoption and diffusion of cloud services is not being actively carried out due to the lack of trust among users and uncertainty about security, performance, and cost. This study compares and analyzes the "Cloud Service Quality and Performance Management System" and the "Cloud Service Certification System" and suggests complementary points and improvement measures for the cloud service quality and performance management system.