• Title/Summary/Keyword: 데이터 습득 시스템

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Design of Enterprise System Platform based on Spring Data JPA in Spring Framework Environment (스프링 프레임워크 환경에서 스프링 데이터 JPA기반의 엔터프라이즈 시스템 플랫폼의 설계)

  • Yoo, Jung-Sang;Lee, Myeong-Ho
    • Journal of Convergence for Information Technology
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    • v.9 no.12
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    • pp.39-46
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    • 2019
  • The competition for standardization in the enterprise environment starts with the data tier of the back-end and the standard enterprise middle tier is being stabilized by standardization as it is accepted as the Spring Framework. In addition, with the advent of new devices in an increasingly rapid cycle, securing compatibility with web and mobile services has become an important competitive advantage for web service companies. However, companies are unable to secure competent technical personnel appropriate for the rapidly changing environment of the information generation, and the curriculum of educational universities does not reflect the demand of new competency-oriented curriculum. Therefore, in this study, in order to acquire competency-oriented skills required for such an enterprise system platform environment and to develop a curriculum, the system using Spring Data JPA in the Spring Framework environment was implemented through documenting for each analysis and design step. It aims to provide a reference model for the full stack competency-based curriculum and capstone design curriculum that can be applied immediately in the enterprise environment.

Task Allocation Algorithm for Heterogeneous Multiprocessor Systems Using Heuristic Technique (이질형 다중 프로세서 시스템에서 휴리스틱 기법을 이용한 타스크 할당 알고리즘)

  • Im, Seon-Ho;Lee, Jong-Seong;Chae, Su-Hwan
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.4
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    • pp.890-900
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    • 1999
  • In homogeneous multiprocessor systems, the task allocation algorithm which equally assigns tasks to processors if possible is generally used. But this algorithm is not suitable to accomplish to accomplish effective task allocation in heterogeneous multiprocessor systems. JSQ (Join the Shortest Queue) algorithm is often used in heterogeneous multiprocessor systems. Unfortunately, JSQ algorithm is not efficient when the differences of capabilities of processors are far large. To solve this problem, we suggest a heuristic task allocation algorithm that makes use of dynamic information such as task arrival time, task service time, and number of finished tasks. The results of simulation show that the proposed heuristic allocation algorithm improves the system performance.

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A Study on the Prototype System for the 3D Digital Archive of Cultural Heritage (문화유산의 3차원 디지털 아카이브 열람 시스템에 관한 연구)

  • Oh Soo-Yeon;Yeo Wook-Hyun
    • Proceedings of the Korea Contents Association Conference
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    • 2005.05a
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    • pp.203-207
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    • 2005
  • We will describe the function of interactive 3D digital archive prototype system that uses VR technology. This system allows the user or viewer to automatically control the viewpoint by selecting content based on the user's particular area of interest. However, it is not enough simply to look at the content. The user also needs to understand it. Therefore, we need systems that support the user's understanding of the content. An effective method to aid in understanding is comparison. In this paper, we are constructing a prototype system using the 3D digital archive of the ruins of a church on Gemiler Island in the Turkish Republic.

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Implementation of Crops Monitoring System Using Wireless Sensor Networks (무선 센서 네트워크를 이용한 농작물 모니터링 시스템 구현)

  • Lee, Young-Chul;Jo, Seung-Eon;Oh, Chang-Heon
    • Journal of Advanced Navigation Technology
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    • v.12 no.4
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    • pp.324-331
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    • 2008
  • In this paper, we developed the crops monitoring system using wireless sensor networks. It can acquire the information about the cultivation environments from a temperature, humidity, illumination and soil sensor then use the detailed information for very useful. The acquisition about the cultivation environment information with wireless sensor networks can be made up an environment that an administrator is able to confirm the information and wherever in a remote place instead of conventional way visiting the cultivate place by investing a lot of money and time. Therefore, it could be saving money, time and effort, and reduced the damages from the natural disasters such as a cold-weather damage and drought. In addition, we could be possible preventing from the damages of blight and harmful insects according to the temperature by an analysis. In agriculture field, this system could be supported for making a foundation of the advanced technology developing endless, and, in IT field, it is look forward to preparing the opportunity which creates a new requirement on the new technology.

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GIS를 이용한 송전선로 주변의 전자파 분포 시뮬레이션 가능성 평가

  • Park, Jae-Young;Um, Jung-Sup
    • 한국공간정보시스템학회:학술대회논문집
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    • 2005.05a
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    • pp.165-174
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    • 2005
  • 고압전류가 흐르는 송전탑이 주거 밀집지역 인근에 설치되거나 송전탑과 가까운 곳에 아파트가 건설되면서 주민들이 한전을 상대로 손해배상 청구소송을 추진하는 등 전자파 피해에 따른 민원이 끊이지 않고 있다. 이와 같은 문제에 대해 해결책을 제시하기 위해서는 송전선 주변 전자파의 실체에 대해 과학적이고 객관적인 조사를 거쳐 국민에게 납득할 수 있는 대안을 제시하는 것이 선행되어야할 작업이다. 그러나 현재 전자파 데이터는 조사 지점만의 단편적인 측정치를 보여주는 수준에 머물러 있어 전자파 확산 등 광역적인 분포 추이에 대한 시각적인 정보를 입수하는 데 상당한 한계가 있다. 따라서 본 연구에서는 GIS기반의 공간 모델링 기법을 활용하여 거리와 전류를 토대로 분포되는 송전선 주변의 전자파 시뮬레이션 기법을 제안하고자 한다. 이와 같은 문제에 대해 대안을 제시하고자, 지역주민이 일상생활에서 접하고 있는 지역의 지도(건물, 도로망 등)를 전자파 유동에 관한 이론에 의거하여 3차원 상에서 전자파 시뮬레이션을 수행하였다. 전자파 시뮬레이션 결과를 검증하기 위해 사용한 실측 데이터는 인천광역시 서구 가정2동에 위치한 봉수 초등학교의 학생들에게 전자파 측정장비를 부착하도록 하여 확보하였다 송전선에서 전자파 방출에 개입하는 거리와 전류의 세기에 의거하여 전자파의 분포를 예측하였으며 실측 데이터와 이론적인 데이터를 비교하여 상관성을 평가했다. 통상 전자파 조사과정은 지도에 표기된 조사지점을 일일이 확인하는 등 모든 측정 작업을 수작업에 의존하고 있다. 따라서 DB구축에 시간이 많이 소요되고 정확도도 많이 떨어질 수밖에 없어 다양한 조건으로 방대한 자료를 공간상에서 검색하는 것 자체가 불가능하였다. 전자파의 분포를 그래픽정보로 가공하여 광역적인 전자파 변화 추이를 풍부한 시각 정보로 디스플레이 하는 것도 어려웠다. 또한 수작업으로 인한 실수도 많이 발생하고 그에 따른 교정 작업도 복잡하였다. 본 연구에서는 송전선에서 방출되어지는 전자파의 이론적인 데이터와 실측 데이터의 상관성에 따른 분석 결과를 가지고 실측 데이터 없이 GIS 기반의 3D 시뮬레이션에 의거하여 전자파의 공간적인 가시화를 수행할 수 있었다. 본 전자파 시뮬레이션 기법이 실무에 이용될 경우, 일반인이 전자파의 분포에 대한 전문지식을 습득할 필요 없이, 검색하고자 하는 지역과 송전선, 전철 등 각종 전자파의 발생 공간 객체를 선택하여 실생활과 관련된 전자파 정보에 예측할 수 있어, 대민 환경정보 서비스 질의 개선측면에서 획기적인 계기를 마련할 것으로 사료된다.

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Ontology Based User-centric Service Environment for Context Aware IoT Services (상황인지 IoT 서비스 제공을 위한 온톨로지 기반 사용자 친화적 서비스 환경)

  • Choi, Hoan-Suk;Lee, Jun-Young;Yang, Na-Ri;Rhee, Woo-Seop
    • The Journal of the Korea Contents Association
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    • v.14 no.7
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    • pp.29-44
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    • 2014
  • To provide context aware service, certain phenomena and situation information of the user should be detecting and monitoring using sensors. But, the sensor data has heterogeneity about system, syntax, structure, and semantics. So, it is difficult to apply to various services. To solve this issue, we should remove these heterogeneities and convert to context information that is easy to provide context aware services. Also, the existing context aware service mash-up environment require relevant sensor type, criteria of context, programing ability to define the service situation. So, it is difficult to create service for a non-technical user. Therefore, we propose ontology based user-centric service environment to provide context aware IoT services. It provide context awareness and user-desired services using data that acquired via IoT paradigm. The proposed environment consist of the ontology based semantic sensor data processing and the user-centric service environment. It provide convert the object data to the context information and service mash-up process to create user service in easy way.

Automatic Generation of Named Entity Tagged Corpus using Web Search Engine (웹을 이용한 개체명 부착 말뭉치의 자동생성과 정제)

  • An, Joo-Hui;Lee, Seung-Woo;Lee, Gary Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 2002.10e
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    • pp.85-91
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    • 2002
  • 최근 정보 추출, 질의응답 시스템 등의 고정밀 자연어처리 어플리케이션이 부각됨에 따라 개체명 인식의 중요성이 더욱 커지고 있다. 이러한 개체명 인식을 위한 학습에는 대용량의 어휘자료를 필요로 하기 때문에 충분한 학습 데이터, 즉 개체명 태그가 부착된 충분한 코퍼스가 제공되지 못하는 경우 자료희귀문제(data sparseness problem)로 인하여 목적한 효과를 내지 못하는 경우가 않다. 그러나 태그가 부착된 코퍼스를 생성하는 일은 시간과 인력이 많이 드는 힘든 작업이다. 최근 인터넷의 발전으로 웹 데이터는 그 양이 매우 많으며, 습득 또한 웹 검색 엔진을 사용해서 자동으로 모음으로써 다량의 말뭉치를 모으는 것이 매우 용이하다. 따라서 최근에는 웹을 무한한 언어자원으로 보고 웹에서 필요한 언어자원을 자동으로 뽑는 연구가 활발히 진행되고 있다. 본 연구는 이러한 연구의 첫 시도로 웹으로부터 다량의 원시(raw) 코퍼스를 얻어 개체명 태깅 학습을 위한 태그 부착 코퍼스를 자동으로 생성하고 이렇게 생성된 말뭉치를 개체면 태깅 학습에 적용하는 비교 실험을 통해 수집된 말뭉치의 유효성을 검증하고자 한다. 향후에는 자동으로 웹으로부터 개체 명 태깅 규칙과 패턴을 뽑아내어 실제 개체명 태거를 빨리 개발하여 유용하게 사용할 수 있다.

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Establishment of location-base service(LBS) disaster risk prediction system in deteriorated areas (위치기반(LBS) 쇠퇴지역 재난재해 위험성 예측 시스템 구축)

  • Byun, Sung-Jun;Cho, Yong Han;Choi, Sang Keun;Jo, Bong Rae;Lee, Gun Won;Min, Byung-Hak
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.570-576
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    • 2020
  • This study uses beacons and smartphone Global Positioning System (GPS) receivers to establish a location-based disaster/hazard prediction system. Beacons are usually installed indoors to locate users using triangulation in the room, but this study is differentiated from previous studies because the system is used outdoors to collect information on registration location and temperature and humidity in hazardous areas. In addition, since it is installed outdoors, waterproof, dehumidifying, and dustproof functions in the beacons themselves are required, and in case of heat and humidity, the sensor must be exposed to the outside, so the waterproof function is supplemented with a separate container. Based on these functions, information on declining and vulnerable areas is identified in real time, and temperature/humidity information is collected. We also propose a system that provides weather and fine-dust information for the area concerned. User location data are acquired through beacons and smartphone GPS receivers, and when users transmit from declining or vulnerable areas, they can establish the data to identify dangerous areas. In addition, temperature/humidity data in a microspace can be collected and utilized to build data to cope with climate change. Data can be used to identify specific areas of decline in a microspace, and various analyses can be made through the accumulated data.

PHR Profiling System Based on FHIR (FHIR 기반 개인건강기록 프로파일링 시스템 개발방법)

  • Kim, Young Sik;Kim, Il Kon
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.7
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    • pp.277-282
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    • 2015
  • HL7 released V3 CDA(Clinical Document Architecture) and V2.x message standards for medical information exchange. Currently, these standards are successfully adopted by a number of nations across the globe. However, substantial amount of time is required to develop and implement these standards. Moreover, developers need a lot of time to understand these standards. To solve these issues from 2011, the HL7 standard framework started to discuss Fast Healthcare Interoperability Resources(FHIR) as next generation standard of healthcare information exchange. People's interests toward personal health record and smartphone penetration rate are growing and increasing rapidly. Therefore, our research team believes it is necessary to develop a PHR profiling system which could be accessed by using a smartphone and we developed the system. Through a FHIR Profile editor tool developed in Furore, we found that improvements could be made in generating and changing the profile. In order to build the PHR Profiling system, an Open-API on FHIR is used for exchanging information between electronic medical record system and PHR Profiling system. In the PHR Profiling system, the transactions of information between two systems are provided by RESTful service. In this study, we verify the efficiency of development of the PHR Profiling system through FHIR.

Agent's Activities based Intention Recognition Computing (에이전트 행동에 기반한 의도 인식 컴퓨팅)

  • Kim, Jin-Ok
    • Journal of Internet Computing and Services
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    • v.13 no.2
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    • pp.87-98
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    • 2012
  • Understanding agent's intent is an essential component of the human-computer interaction of ubiquitous computing. Because correct inference of subject's intention in ubiquitous computing system helps particularly to understand situations that involve collaboration among multiple agents or detection of situations that can pose a particular activity. This paper, inspired by people have a mechanism for interpreting one another's actions and for inferring the intentions and goals that underlie action, proposes an approach that allows a computing system to quickly recognize the intent of agents based on experience data acquired through prior capabilities of activities recognition. To proceed intention recognition, proposed method uses formulations of Hidden Markov Models (HMM) to model a system's prior experience and agents' action change, then makes for system infer intents in advance before the agent's actions are finalized while taking the perspective of the agent whose intent should be recognized. Quantitative validation of experimental results, while presenting an accurate rate, an early detection rate and a correct duration rate with detecting the intent of several people performing various activities, shows that proposed research contributes to implement effective intent recognition system.