• Journal of Digital Convergence
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• v.14 no.2
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• pp.259-264
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• 2016

In this paper, we proposed an arduino-based smart green house management system model and implemented it. The proposed system consists of control unit composed of sensors and arduino, agent program controlling the green house, and web applications providing user interfaces. The control unit transmits data of sensors such as temperature, humidity, illuminance, moisture, etc. to the agent program, and then the agent saves the data in its database. In reverse, control data are transmitted from agent program to control unit. Users can monitor sensed data of green houses and control actuators remotely using web. Plus, smart green house management is available by context awareness and autonomous control functions of the proposed system.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.312-315
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• 2007

This study is aimed at developing a web-based management system of maintenance historical data, for effective maintenance performance and smooth exchange of information and communication between public facilities and public educational facilities managers. The current management state of maintenance historical data and its business process were investigated and analyzed, through interviewing with the persons in charge of managing each facility, by recognizing problems of maintenance historical data management that is able to be applied as a basis to judge facility deterioration and performance. In addition, this study suggests a maintenance historical data system of which DB may be applied to the practical business, by reflecting requests of the persons in charge of managing facilities, setting up the scope of system usage by facility, business phase and level of facility managers, and establishing a maintenance business process system.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3577-3588
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• 1999

This paper describes design and implementation of a general purpose cyber educational system. In this system, there are different types of menus and services according to such user's rights as system operators, professors, assistant instructors, students. In order to keep in close contact between students and professors, provided are various services such as the official announcement, transcripts of lecture, bulletin board, Q/A corner, report box, archive of study materials, electronic mail box, memorandum including checking of one's attendance and school record. For the purpose of activating small group studies and discussion about given subject, it can organize into groups automatically and provide with debating rooms. The system is implemented by separating with both HTML design and programming part by templete concept. Overload of iterative server is solved by adjusting the numbers of DB servers of each service.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.117-127
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• 2020

The Early Warning System for agrometeorological hazard of the Rural Development Administration (Korea) forecasts detailed weather for each farm based on the meteorological information provided by the Korea Meteorological Administration, and estimates the growth of crops and predicts a meteorological hazard that can occur during the growing period by using the estimated detailed meteorological information. For verification of early warning system, automated weather observation network was constructed in the study area. Moreover, a real-time web display system was built to deliver near real-time weather data collected from the observation network. The meteorological observation system collected diverse meteorological variables including temperature, humidity, solar radiation, rainfall, soil moisture, sunshine duration, wind velocity, and wind direction. These elements were collected every minute and transmitted to the server every ten minutes. The data display system is composed of three phases: the first phase builds a database of meteorological data collected from the meteorological observation system every minute; the second phase statistically analyzes the collected meteorological data at ten-minutes, one-hour, or one-day time step; and the third phase displays the collected and analyzed meteorological data on the web. The meteorological data collected in the database can be inquired through the webpage for all data points or one data point in the unit of one minute, ten minutes, one hour, or one day. Moreover, the data can be downloaded in CSV format.

• The KIPS Transactions:PartC
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• v.15C no.2
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• pp.93-102
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• 2008

The network weather map and bandwidth time-series graph are popularly used to understand the current and past traffic condition of NSP, ISP, and enterprise networks. These systems collect traffic performance data from a SNMP agent running on the network devices such as routers and switches, store the gathered information into a DB, and display the network performance status in the form of a time-series graph or a network weather map using Web user interface. Most of current enterprise networks are constructed in the form of a hierarchical tree-like structure with multi-Gbps Ethernet links, which is quietly different from the national or world-wide backbone network structure. This paper focuses on the network weather map for current enterprise network. We start with the considering points in developing a network weather map system suitable for enterprise network. Based on these considerings, this paper proposes the best way of using SNMP in constructing a network weather map system. To prove our idea, we designed and developed a network weather map system for our campus network, which is also described in detail.

• Journal of Korean Society for Atmospheric Environment
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• v.25 no.2
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• pp.167-174
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• 2009

The AIRWARE System was developed from one of the EUREKA PROJECT E!3266-EUROENVIRON WEBAIR System. The AIRWARE can nowcast and forecast the air quality of Seoul and Gyeonggi-do regions. To nowcast and forecast concentration of pollutants, MM5, AERMOD/CAMx, and SMOKE Models were used for each meteorologic data, measured data, and emission data. All DB were constructed for 2001 year. The episode analysis and time series analysis were accomplished to analyze the AIRWARE reliability. The simulated results were very well agreed with measured result for measured pollutants and meteorological data. The developed AIRWARE system can analyze with real-time, support web-based air quality information. This information can used with policy data to manage the air quality and prepare reduction plan in air impact assessment or air environmental plan.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1111-1114
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• 2001

개인자료교환의 방법 중 가장 보편화된 것이 이메일임에도 불구하고, 기존의 웹메일이나 클라이언트 프로그램 등의 UA(UserAgent)는 운영자 임의의 고정적인 인터페이스, 서버접속에 의한 메일 데이터 조작 등으로 활용범위를 좁혀놓았다. 이메일 사용에서 한층 더 나아가 사용자가 보다 효과적으로 이메일 정보를 활용하고 재사용이 가능하도록 하는 시스템을 개발하는 것이 필요하다. 이 논문에서는 이메일정보를 SMTP/MIME표준을 XML표준형식으로 변환/저장하여 사용자가 이메일정보를 다양한 어플리케이션에서 황용하고 재 사용한 수 있도록 하였다. 최근 발전하고 있는 XML기술과 ASP기반의 웹 메일을 통하여 기존에 웹메일 사용자들에게 친숙한 인터페이스를 제공하고, 이메일을 XML로 변환하고 변환된 XML문서를 XML을 이용하여 사용자 취향에 맞게 재구성한 수 있게 하였다. DOM API를 사용하여 변환된 XML파일을 조합하고, DB가 없이 파일로 관리하여 개인사용자가 이메일정보를 소장할 수 있게 하는 시스템을 설계 및 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2463-2466
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• 2002

본 연구에서는 학습자의 수준에 맞는 적합한 학습 내용과 평가 문제를 제공하고, 그 평가 결과를 분석하여 반복학습 및 심화학습을 효과적으로 제공하는 웹기반 퍼지 교수 시스템을 제안한다. 이를 위해 코스웨어를 설계시 학습목표의 중요도, 학습내용의 난이도, 학습목표와 학습내용과의 관련성과 각 항목의 가중치를 고려한 퍼지 함수에 의해 퍼지 소속성을 가진 퍼지 언어 변수로 각 프레임에 대한 수준을 표현한다. 이와 같이 퍼지 함수를 이용함으로써 학습자의 수준을 분석하고, 이에 적절한 학습 및 평가 내용을 제공하는데 여러가지 다양하고 불확실한 요소들을 고려하여 처리함으로써 보다 융통성 있고 효과적인 교수 학습 방법을 지원할 수 있다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.91-94
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• 2009

기업의 경쟁력 제고를 위한 브랜드 커뮤니케이션의 중요성이 높아지고 있는 가운데, 판매-소비 인터페이스의 최전선에 있는 패키지 디자인의 역할과 비중이 커지면서 패키지가 곧 브랜드라는 인식이 생기고 있다. 소비자가 패키지를 통해 느끼는 감성은 시각적 경험이 발생하는 시점과 환경에 따라 달라질 수 있다. 특히, FMCG의 경우, 광고를 통해 축적된 제품에 대한 긍정적 이미지는 실제 매장에서 여러 제품과 동시에 노출되었을 때 제품에 대한 느낌이 상쇄될 수 있다. 본 연구에서는 감성경험조건의 차이 즉, 패키지의 노출조건에 따라 감성의 차이가 발생한다는 가설을 세우고, 이를 검증하기 위한 온라인 실험환경을 구축하였다. 실험시나리오를 바탕으로 플래시 툴을 활용하여 인터랙티브한 실험컨텐츠를 제작하고, 평가값은 PHP 를 통해 DB 에 저장하였다. 저장된 데이터는 SPSS로 통계분석을 시도하였다. 본 실험을 통해 독립 노출과 군집노출에 따라 감성의 차이가 발생하며, 감성차이에 영향을 주는 요인으로서 컬러와 타이포그래피가 주된 요인이 된다는 점을 알 수 있었다.