• Title/Summary/Keyword: ICT성능성

Search Result 131, Processing Time 0.026 seconds

Design and Development of Framework for Wireless Data Broadcast of XML-based CCR Documents (XML 기반 CCR 문서의 무선 데이터 방송을 위한 프레임워크의 설계와 구현)

  • Im, Seokjin;Hwang, Hee-Joung
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.15 no.5
    • /
    • pp.169-175
    • /
    • 2015
  • In the field of health informatics converging ICT technology and medicine technology, XML-based CCR document make sure the continuity and mobility of the information of patients. When a number of clients access CCR documents, wireless data broadcast that supports any number of clients can be an alternative for the scalability. In this paper, we propose a framework for wireless data broadcast of XML-based CCR documents. We design and implement the framework that can adopt various data scheduling algorithms and indexing schemes for the optimized performances of clients. The implemented framework shows the efficiency with simulations adopting various data scheduling algorithms and indexing schemes.

Performance Analysis of Real-Time Big Data Search Platform Based on High-Capacity Persistent Memory (대용량 영구 메모리 기반 실시간 빅데이터 검색 플랫폼 성능 분석)

  • Eunseo Lee;Dongchul Park
    • Journal of Platform Technology
    • /
    • v.11 no.4
    • /
    • pp.50-61
    • /
    • 2023
  • The advancement of various big data technologies has had a tremendous impact on many industries. Diverse big data research studies have been conducted to process and analyze massive data quickly. Under these circumstances, new emerging technologies such as high-capacity persistent memory (PMEM) and Compute Express Link (CXL) have lately attracted significant attention. However, little investigation into a big data "search" platform has been made. Moreover, most big data software platforms have been still optimized for traditional DRAM-based computing systems. This paper first evaluates the basic performance of Intel Optane PMEM, and then investigates both indexing and searching performance of Elasticsearch, a widely-known enterprise big data search platform, on the PMEM-based computing system to explore its effectiveness and possibility. Extensive and comprehensive experiments shows that the proposed Optane PMEM-based Elasticsearch achieves indexing and searching performance improvement by an average of 1.45 times and 3.2 times respectively compared to DRAM-based system. Consequently, this paper demonstrates the high I/O, high-capacity, and nonvolatile PMEM-based computing systems are very promising for big data search platforms.

  • PDF

The standardization directions for Environment Control in controlled horticulture field (시설원예 환경제어 표준화 추진방향)

  • Min, J.H.;Koo, H.S.;Park, J.Y.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2014.10a
    • /
    • pp.635-638
    • /
    • 2014
  • As ICT-convergence deploying projects in horticulture sector has been promoted, the concerning technology development and market has recently been enlarged. In particular, the domestic and overseas products for a variety of horticulture complex environmental control equipments has been produced and sold, but it can be seen that there is no the compatibility among the products and is differences in performance. There is the need to provide a standard of the specifications and installation criteria for domestic products in order to promote ICT convergence deploying projects in the horticulture field and provide convenience to the consumers through the compatibility among products under this circumstances. In this paper, we suggest the standardization items which our country can lead and the directions for future standardization by analyzing the introducing situation and the trend of Technology and standardization for complex environmental control system in domestic horticulture field.

  • PDF

서비스 로봇의 안전 및 성능 평가 기술

  • Jeong, Yeong-Suk;Lee, Gyeong-Ho;Seo, Beom-Su
    • Information and Communications Magazine
    • /
    • v.33 no.8
    • /
    • pp.36-43
    • /
    • 2016
  • 최근 인공지능의 급부상과 함께 서비스 로봇은 물론 산업용 로봇에 이르기까지 ICT 융합을 통한 HRI(Human Robot Interaction) 지능화가 가속화되고 있다. 제조, 물류, 공공장소, 가정 등 다양한 환경에서 인간과 가까이 공존하며 상호작용하는 지능로봇의 안전과 성능에 기반한 신뢰성 확보는 성장하는 로봇 시장에 중요한 이슈로 떠오르고 있다. 2014년 실내외에서 운용되는 개인지원로봇에 대한 기본 안전 요구 표준인 ISO 13482가 공표되고 유럽, 일본을 비롯한 세계시장은 국제 표준 에 기반한 서비스 로봇의 인증을 요구하고 있다. 이에 최근 국내 로봇 기업의 해외 시장 진출에 있어 가장 우선적으로 요구받고 있는 안전 요구조건과 검증에 필요한 위험 평가 프로세스를 소개하고 서비스 로봇의 안전 및 성능 평가 기술과 표준에 대하여 살펴본다.

TTA와 함께한 ICT 표준자문서비스 - 피제이팩토리, 이미지 파일 포맷 세계 표준 도전

  • TTA 표준화본부 표준진흥단
    • TTA Journal
    • /
    • s.174
    • /
    • pp.110-113
    • /
    • 2017
  • (주)피제이팩토리는 이미지의 정보화 작업을 최소한의 움직임으로 가능하게 하는 UX(User eXperience)를 개발했으며 관련 특허를 보유하고 있다. '디테일(Detail)'은 그 특허를 통해 구현된 (주)피제이팩토리의 모바일기기 기반 카메라 앱 및 SNS 서비스다. 2016년 2월, 기업환경통합(EAI/E5B), 애플리케이션성능관리(APM) 및 보안 솔루션 개발 구축 전문업체인 모코엠시스로부터 5억여 원의 투자를 유치했다. 새로운 이미지 파일포맷을 개발하던 (주)피제이팩토리는 국제 표준화의 필요성을 알았으나, 구체적인 진행 방법과 전략을 구상하기에는 정보와 경험이 턱없이 부족했다. 이때 지인의 소개로 국제 표준화 작업 과정을 도울 기관으로 TTA를 추천받았다. TTA의 자문서비스를 통해 국제표준화기구인 ISO/IEC JTC 1 SC29에 국제 표준으로 제안할 구체적인 전략을 세우게 되었다.

  • PDF

Adaptive Cache Management Scheme in HDFS (HDFS에서 적응형 캐시 관리 기법)

  • Choi, Hyoung-Rak;Yoo, Jae-Soo
    • Proceedings of the Korea Contents Association Conference
    • /
    • 2019.05a
    • /
    • pp.461-462
    • /
    • 2019
  • 스마트팩토리는 정보통신기술(ICT)를 이용한 공정의 모든 데이터를 수집, 분석하여 제어하고 있다. 기존보다 방대한 양의 데이터를 처리하기 위해 기업들은 하둡을 이용한다. 다양한 크기의 데이터가 나타나는 환경에서 HDFS을 효율적으로 관리하기 위한 적응형 캐시 관리 기법을 제안한다. 제안하는 기법은 데이터 노드의 로컬 디스크의 공간 이용 효율성을 높이고 평균 데이터 크기를 분석하여 데이터 노드 확장시 적합한 블록 크기를 적용할 수 있게 관리한다. 성능 평가를 통해 제안하는 기법의 데이터 노드에서 로컬 디스크 효율 향상과 읽기와 쓰기 속도의 속도에 효과를 보인다.

  • PDF

2D/3D Visual Optical Inspection System for Quad Chip (Quad Chip 외관 불량 검사를 위한 2D/3D 광학 시스템)

  • Han, Chang Ho;Lee, Sangjoon;Park, Chul-Geon;Lee, Ji Yeon;Ryu, Young-Kee;Ko, Kuk Won
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.1
    • /
    • pp.684-692
    • /
    • 2016
  • In the manufacturing process of the LQFP/TQFP (Low-profile Quad Flat Package/Thin Quad Flat Package), the requirement of a 3 dimensional inspection is increasing rapidly and a 3D inspection of the shape of a chip has become an important report of quality control. This study developed a 3 dimensional measurement system based on PMP (Phase Measuring Profilometry) for an inspection of the LQFP/TQFP chip and image processing algorithms. The defects of the LQFP/TQFP chip were classified according to the dimensions. The 2 dimensional optical system was designed by the dorm illumination to achieve constant light distribution, In the 3 dimensional optical system, PZT was used for moving 90 degree in phase. The problem of 2 ambiguity was solved from the measured moir? pattern using the ambiguity elimination algorithm that finds the point of ambiguity and refines the phase value. The proposed 3D measurement system was evaluated experimentally.

A Study on Light Weight Authentication Method of Distributed Cluster-based IoT Devices (분산 클러스터 기반 IoT 디바이스 경량 인증 방법에 대한 연구)

  • Kim, Sung-hwan;Kim, Young-gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.19 no.2
    • /
    • pp.103-109
    • /
    • 2019
  • Due to the development of ICT technology, the IoT environment for connecting objects in the vicinity to networks and utilizing information about objects in various fields is getting attention, and security threats are also increasing. In order to solve the increasing security problem in IoT environment, we are studying methods that use certificate, encryption, hash calculation and block chain in the private sector. However, the security authentication method which overcomes the performance gap between devices and has compatibility with various devices It has not been proposed yet. In this paper, we propose an authentication method that can achieve wide compatibility by minimizing the influence of IoT device environment.

Updated Object Extraction in Underground Facility based on Centroid (중심점 기반 지하시설물 갱신객체 추출 기술)

  • Kim, Kwagnsoo;Lee, Kang Woo;Kim, Bong Wan;Jang, In Sung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.38 no.6
    • /
    • pp.553-559
    • /
    • 2020
  • In order to prevent subsidence in urban areas, which is a major cause of damage to aging underground facilities, an integrated underground space map is being produced for systematic management of underground facilities. However, there is a problem of delaying the update time because an unupdated underground facility object is included in the process of updating the underground space integrated map. In this paper, we proposed a method to shorten the update time of the integrated map by selecting only the updated objects required for the update process of the underground space integrated map based on the central point of the underground facilities. Through the comparison of the centroid, the number of search targets is greatly reduced to shorten the search speed, and the distance of the actual location values between the two objects is calculated whether or not the objects are the same. The proposed method shows faster performance as the number of data increases, and the updated object can be reflected in the underground space integrated map about four times faster than the existing method.

A comparative study on keypoint detection for developmental dysplasia of hip diagnosis using deep learning models in X-ray and ultrasound images (X-ray 및 초음파 영상을 활용한 고관절 이형성증 진단을 위한 특징점 검출 딥러닝 모델 비교 연구)

  • Sung-Hyun Kim;Kyungsu Lee;Si-Wook Lee;Jin Ho Chang;Jae Youn Hwang;Jihun Kim
    • The Journal of the Acoustical Society of Korea
    • /
    • v.42 no.5
    • /
    • pp.460-468
    • /
    • 2023
  • Developmental Dysplasia of the Hip (DDH) is a pathological condition commonly occurring during the growth phase of infants. It acts as one of the factors that can disrupt an infant's growth and trigger potential complications. Therefore, it is critically important to detect and treat this condition early. The traditional diagnostic methods for DDH involve palpation techniques and diagnosis methods based on the detection of keypoints in the hip joint using X-ray or ultrasound imaging. However, there exist limitations in objectivity and productivity during keypoint detection in the hip joint. This study proposes a deep learning model-based keypoint detection method using X-ray and ultrasound imaging and analyzes the performance of keypoint detection using various deep learning models. Additionally, the study introduces and evaluates various data augmentation techniques to compensate the lack of medical data. This research demonstrated the highest keypoint detection performance when applying the residual network 152 (ResNet152) model with simple & complex augmentation techniques, with average Object Keypoint Similarity (OKS) of approximately 95.33 % and 81.21 % in X-ray and ultrasound images, respectively. These results demonstrate that the application of deep learning models to ultrasound and X-ray images to detect the keypoints in the hip joint could enhance the objectivity and productivity in DDH diagnosis.