• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.47-48
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• 2017

본 논문에서는 Microsoft Azure 플랫폼의 Azure PowerShell, Azure CLI(Command Line Interface), REST API를 활용하여 클라우드 기반 서비스 포털과 관리 포털을 개발함으로서 중소건설사에서 건설현장의 공사원가 관리 및 일일 관리를 위한 모듈과 서비스 제공을 위해 필요한 서비스 포털 및 관리 포털과 제품 관리 모듈 등 클라우드 서비스 구축 수행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.1027-1030
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• 2013

근래에 OpenAPI의 구현 형태는 기존의 SOAP 기반 구현 방식에서 비교적 간단하고 가벼운 REST 방식으로 바뀌고 있다. 이러한 결과로 웹상에 이용 가능한 RESTful 웹 서비스들의 수가 급격하게 증가됨에 따라 적합한 리소스를 찾는 것은 매우 중요한 이슈로 대두되었다. 본 논문에서는 RESTful 웹 서비스를 개발할 때 생성되는 WADL 문서를 가지고 리소스를 효율적으로 발견할 수 있는 일련의 다단계 매칭 방법을 제안한다. 제안된 방법은 168개의 RESTful 웹 서비스 집합에 대한 실험을 수행하여 그 성능의 우수함을 보인다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.3
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• pp.27-33
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• 2009

Content used in mashups is typically obtained from a third party source through a public interface or API (web services). Other methods of obtaining content for mashups include Web feeds (e.g. RSS or Atom), and screen scraping. A mashup or meshup Web application has two parts: A new service delivered through a Web page, using its own data and data from other sources. The blended data, made available across the Web through an API or other protocols such as HlTP, RSS, REST, etc. There are many types of mashups, such as consumer mashups, data mashups, and Business Mashups. The most common mashup is the consumer mashup, which are aimed at the general public. Examples include Google Maps, iGuide, and RadioClouds. 4D Wall-map display is data mashups combine similar types of media and information from multiple sources into a single representation. This technology focus data into a single presentation and allow for collaborative action among ITS-related information sources.

• Spatial Information Research
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• v.22 no.2
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• pp.63-71
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• 2014

Ocean leisure sports have recently emerged as one of so-called blue ocean industries. They are sensitive to diverse environmental conditions such as current, temperature, and salinity, which can increase needs of forecasting data as well as in-situ observations for the ocean. In this context, a Web-based geovisualization system for coastal information produced by model forecasts was implemented for use in supporting various ocean activities. First, FVCOM(Finite Volume Coastal Ocean Model) was selected as a forecasting model, and its data was preprocessed by a spatial interpolation and sampling library. The interpolated raster data for water surface elevation, temperature, and salinity were stored in image files, and the vector data for currents including speed and direction were imported into a distributed DBMS(Database Management System). Web services in REST(Representational State Transfer) API(Application Programming Interface) were composed using Spring Framework and integrated with desktop and mobile applications developed on the basis of hybrid structure, which can realize a cross-platform environment for geovisualization.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.45-50
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• 2017

Micro-service Architecture is a service architecture optimized for large-scale distributed systems such as real-time realistic broadcasting systems, so that are fiercely adopted by Global leading service platform vendors such as Netflix and Twitter due to the merit of horizontal performance scalability enabling the scale-out technique. In addition, micro-service architecture makes it possible to execute image processing and real-time data analysis using an asynchronous-based processing that are difficult to handle in Web API such as REST. In this paper, an event stream processing framework applicable to asynchronous based micro services is proposed in the sense that the accountability of event processing order is not guaranteed in the events such as IoT sensor data analysis or cloud-based image editing because these are the situations where the real-time media editing generates multiple event streams and asynchronous processes in the platform.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1190-1198
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• 2021

In this paper, we present the results of implementing an interactive lecturer introduction game that allows new students or freshmen to learn about their lecturer's information using a Digital Game-based Learning (DGBL) methodology. This game provides information such as the lecturer's name, photo, the courses that they teach in the form of a quiz game, with Unity and PHP used as the development environment. Communication between the game, Content Management System (CMS), and the database is by using the REST API, which enables the administrator to manage the content of the game such as score and number of questions for each level, user's password, and performance threshold, as well as the lecturer's information itself. Since the developed interactive game uses an integrated CMS, the content can be updated dynamically according to the situation, therefore, it can be easily applied to other departments, as well as other various educational games.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.872-880
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• 2022

This paper present a design and implementation of a Contents Management System (CMS) to be integrated into a game that uses a Digital Game-based Learning (DGBL) approach for helping tourists learn about tourism spots as a part of the Package Tour Application. In terms of design, this paper shows a system architecture that consists of a database to store the game's content such as tourism spot information, score and question configuration, score history, et cetera, a web application to manage the content and a Rest API to delivers the content to the mobile game. Meanwhile, in terms of implementation, MySQL database and PHP programming language are used. Moreover, a time response performance evaluation is conducted which resulted in between 0.77 s to 1.4 s from CMS to the database. Once successfully integrated with the game, the CMS will allow the game to be played on multiple tours simultaneously, without having to rebuild the game for every package tour group.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.216-221
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• 2022

The 4th industrial revolution is accelerating the transition to digital innovation in various aspects of our daily lives, and efforts for manufacturing innovation are continuing in the manufacturing industry, such as smart factories. The 4th industrial revolution technology in manufacturing can be used based on AI, big data, IoT, cloud, and robots. Through this, it is required to develop a technology to establish a production facility data collection and analysis system that has evolved from the existing automation and to find the cause of defects and minimize the defect rate. In this paper, we implemented a system that collects power, environment, and status data from production facility sites through IoT devices, quantifies them in real-time in a cloud computing environment, and displays them in the form of MQTT-based real-time infographics using widgets. The real-time sensor data transmitted from the IoT device is stored to the cloud server through a Rest API method. In addition, the administrator could remotely monitor the data on the dashboard and analyze it hourly and daily.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.139-149
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• 2013

As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.255-256
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• 2017

IoT(Internet of Things)는 우리 일상생활에 깊숙이 관여하고 있어서 보안 문제는 중요해지고 있다. OAuth2.0은 웹기반 응용이나 REST 특성의 API를 안전하게 하는 권한부여(authorization) 프레임워크이다. 본 논문에서는 IoT에 OAuth2.0을 적용하여 효율적이고 효과적인 권한부여 기법을 제안한다. OAuth2.0 기술은 서버쪽 기술이지만, IoT에서도 웹을 이용할 수 있는 CoAP 기술이 있으므로 IoT 디바이스 쪽에 접근에 대한 권한부여 기법으로 적용할 수 있다. 제안기법은 권한 부여 서버와 자원 서버와의 키 분배와 해시 함수 및 암호화를 통해 권한부여 기법을 적용한다.