• Title/Summary/Keyword: 노드제이에스

Search Result 4, Processing Time 0.023 seconds

A Study on Performance Improvement of Web-Based Systems Using Protocol Buffers (프로토콜 버퍼를 사용한 웹 기반 시스템의 성능 향상에 관한 연구)

  • Kim, Sun-Jong;Kim, Hee-Chern
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2015.04a
    • /
    • pp.615-617
    • /
    • 2015
  • 웹 시스템의 구축 방법에는 하나의 서버에 웹 서버와 DB 서버를 모두 설치하여 운영하는 방법과 여러 개의 서버에 나누어 설치하는 경우가 있는데 두 가지 방법 모두 초기 구축 후 사용자가 많아지면 서버에 과부하가 생겨 해당 웹 사이트의 응답 속도가 느려지는 등 정상적으로 동작 하지 않는 문제가 생긴다. 이러한 문제의 해결책으로 서버를 증설하여 부하를 줄이는 방법을 고려할 수 있지만 해당 방법은 비용적인 측면에서 효율적이지 못하다. 그러므로 본 논문에서는 서버에서 동작하는 프레젠테이션 로직을 기존의 전형적인 톰캣 기반의 웹 서버를 노드제이에스 서버로 교체하여 클라이언트 PC의 브라우저에서 동작하도록 하여 서버의 부하를 줄이고, 또 연계되어 설계될 타 서버와의 확장성과 데이터 처리량의 감소를 위해 데이터 전송 방법으로 프로토콜 버퍼를 사용하여 통신하는 자바스크립트 프레임워크를 제시한다.

The University Gusdance System using the Alexa (Alexa를 이용한 대학안내 시스템)

  • Kim, Tae Jin;Kim, Dong Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.11
    • /
    • pp.2061-2066
    • /
    • 2017
  • The voice recognition technology is to recognize the voice of an user and execute the command. Recently, the voice recognition is evolving to the artificial intelligence voice recognition by adding the scheme of the natural language processing. The AI voice recognition is exploited to control the IoT devices or provide the information, such as the news or the wether. The University Information which is one of fields serviced by the information provider is mainly presented on the web. However, since too much information are presented on the web, it is difficult for an user to find efficiently the specific information which the user want to know. In this paper, we design and implement the university guidance system to recognize the user voice searching the information and provide the result using the voice. To do this, we classify the university data and design the lambda function to provide the data.

The traffic performance evaluation between remote server and mobile for applying to encryption protocol in the Wellness environment (웰니스 환경에서 암호화 프로토콜 적용을 위한 모바일과 원격 서버간 트래픽 성능 평가)

  • Lee, Jae-Pil;Kim, Young-Hyuk;Lee, Jae-Kwang
    • Journal of Digital Convergence
    • /
    • v.11 no.11
    • /
    • pp.415-420
    • /
    • 2013
  • U-WHS refers to a means of remote health monitoring service to combine fitness with wellbing. U-WHS is a system which can measure and manage biometric information of patients without any limitation on time and space. In this paper, we performed in order to look into the influence that the encryption module influences on the communication evaluation in the biometric information transmission gone to the smart mobile device and Hospital Information System.In the case of the U-WHS model, the client used the Objective-c programming language for software development of iOS Xcode environment and SEED and HIGHT encryption module was applied. In the case of HIS, the MySQL which is the Websocket API of the HTML5 and relational database management system for the client and inter-server communication was applied. Therefore, in WIFI communication environment, by using wireshark, data transfer rate of the biometric information, delay and loss rate was checked for the evaluation.

Design of Cloud-Based Data Analysis System for Culture Medium Management in Smart Greenhouses (스마트온실 배양액 관리를 위한 클라우드 기반 데이터 분석시스템 설계)

  • Heo, Jeong-Wook;Park, Kyeong-Hun;Lee, Jae-Su;Hong, Seung-Gil;Lee, Gong-In;Baek, Jeong-Hyun
    • Korean Journal of Environmental Agriculture
    • /
    • v.37 no.4
    • /
    • pp.251-259
    • /
    • 2018
  • BACKGROUND: Various culture media have been used for hydroponic cultures of horticultural plants under the smart greenhouses with natural and artificial light types. Management of the culture medium for the control of medium amounts and/or necessary components absorbed by plants during the cultivation period is performed with ICT (Information and Communication Technology) and/or IoT (Internet of Things) in a smart farm system. This study was conducted to develop the cloud-based data analysis system for effective management of culture medium applying to hydroponic culture and plant growth in smart greenhouses. METHODS AND RESULTS: Conventional inorganic Yamazaki and organic media derived from agricultural byproducts such as a immature fruit, leaf, or stem were used for hydroponic culture media. Component changes of the solutions according to the growth stage were monitored and plant growth was observed. Red and green lettuce seedlings (Lactuca sativa L.) which developed 2~3 true leaves were considered as plant materials. The seedlings were hydroponically grown in the smart greenhouse with fluorescent and light-emitting diodes (LEDs) lights of $150{\mu}mol/m^2/s$ light intensity for 35 days. Growth data of the seedlings were classified and stored to develop the relational database in the virtual machine which was generated from an open stack cloud system on the base of growth parameter. Relation of the plant growth and nutrient absorption pattern of 9 inorganic components inside the media during the cultivation period was investigated. The stored data associated with component changes and growth parameters were visualized on the web through the web framework and Node JS. CONCLUSION: Time-series changes of inorganic components in the culture media were observed. The increases of the unfolded leaves or fresh weight of the seedlings were mainly dependent on the macroelements such as a $NO_3-N$, and affected by the different inorganic and organic media. Though the data analysis system was developed, actual measurement data were offered by using the user smart device, and analysis and comparison of the data were visualized graphically in time series based on the cloud database. Agricultural management in data visualization and/or plant growth can be implemented by the data analysis system under whole agricultural sites regardless of various culture environmental changes.