• Title/Summary/Keyword: ICT-based system

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Face Recognition System Technologies for Authentication System - A Survey (인증시스템을 위한 얼굴인식 기술 : 서베이)

  • Hwang, Yooncheol;Mun, Hyung-Jin;Lee, Jae-Wook
    • Journal of Convergence Society for SMB
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    • v.5 no.3
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    • pp.9-13
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    • 2015
  • With the advance of ICT, the necessity of user authentication to verify the identity of an opponent online not face to face is increasing. The authentication, the basis of the security, is used in various fields. Because ID-based authentication has weaknesses in terms of stability and losses, two or more than two authentication tools are used in the place in which the security is important. Recently, biometric authentication rather than ID, OTP, SMS authentication has been an issue in terms of credibility and efficiency. As the fields applied to current biometric recognition technologies are increasing, the application of the biometric recognition is being used in various fields such as mobile payment system, intelligent CCTV, immigration inspection, and access control. As the biometric recognition, finger print, iris, retina, vein, and face recognition have been studied actively. This study is to inspect the current state of domestic and foreign standardization including understanding of the face recognition and the trend of technology.

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Advanced Sensor-based Control Reagent Cabinet Monitoring System (첨단센서 제어 기반 시약장 모니터링 시스템)

  • Yang, Xitong;Jang, Jaemyung;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.199-204
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    • 2017
  • Recently, the reagent in the laboratory can not only confirm the internal environment through the sensor but also check the status inside the reagent cabinet in real time. Also, if an abnormality occurs in the inside of the reagent cabinet, a serious accident may occur. To solve these problems, this paper proposes a reagent monitoring system that integrates reagent and ICT. The sensor data measured in real time is displayed to the user in real time through the monitor and stored in the database. In addition, by using the stored data, it is possible to inform the registered administrator in real time of the dangerous situation by informing the dangerous situation in case of danger, and to be able to check and control remotely. This can improve safety by making control and confirmation of the state of the inside of the reagent everywhere.

Development of an Information System for managing the Service Performances in Public Construction Technique Fields (공공건설기술의 용역실적관리를 위한 정보시스템 개발)

  • Kim, Seong-Jin;Kim, Nam-Gon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.11
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    • pp.5993-5999
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    • 2013
  • This study presents the information management item and the business process improvement plan managed all construction technique services of Design, Construction Supervision and Construction Management which is ordered and constracted by the public institution in the field of construction and business steps. In addition, it develped the Management System of Construction Technique Service Performances based on improved processes for the Public Agencies and Construction Service Director to register, review and approve the Service Performance Information. As a result, it would be help transparently managed Technical Engineer's work duplication status of Constuction Company, and checked online without having to submit Company performance data by providing objective and reliable information.

Design of Acupuncture Controller and Dummy for Acupuncture Training System based MR (MR 기반 침술 훈련 시스템을 위한 침술 컨트롤러 및 인체모형 설계)

  • Ryu, Chang Ju;Lee, Sang Duck;Han, Seung Jo
    • Smart Media Journal
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    • v.9 no.2
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    • pp.86-91
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    • 2020
  • The current trend of the education market is the development of the fourth industrial revolution and the development of ICT, and various technologies are developing into edu-tech technology that is integrated into the education system. In particular, the market for edu-tech systems capable of lifelike immersive learning effects in virtual space is expanding. However, education in Korean medicine is not objective because of the absence of educational simulators and systems to train and evaluate acupuncture. In this paper, we propose an acupuncture controller and a human body model to increase the effectiveness of acupuncture point training as a follow-up study of "Design of Acupuncture Contents and Dummy for Acupuncture Point Training System". Through the proposed acupuncture controller and Dummy, the accuracy of acupuncture points for the acupuncture point data matching and content motion recognition rate is presented. In addition, the results of temperature and humidity and temperature change tests for evaluating the environmental reliability of the controller are presented.

Prevention of Women's Crime Using Autonomous car & Drones of Smart Police Efficient Multicasting Environment (스마트치안에서의 자율주행차 및 드론을 활용한 여성 범죄 예방 연구)

  • Kim, Seung-woo;Jung, Yu-jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.10
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    • pp.1294-1299
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    • 2018
  • 'SMART Police' means collecting, analyzing and utilizing the police database such as crime statistics, reflecting 'strategic management', 'analysis and research', 'science technology' do. In recent years, the number of sex offenses has more than doubled based on the 'crime analysis' of the Supreme Prosecutors' In this trend, we started to build a sex crime prevention program for women 's relief special 3.0 which is suitable for regional characteristics. However, it was not enough for the women to have low publicity and utilization results, and to show the practical effect. In the future, we propose a crime prevention system which can safely take home safeguarding with autonomous driving car or drone by applying ICT to the future police system. Although it is difficult to operate autonomous vehicles and drones in the surrounding environment such as narrow alleys and power lines for application to this system, it is thought that the artificial intelligence technology can be sufficiently overcome to operate.

A Scheme of Identity Authentication and Anomaly Detection using ECG and Beacon-based Blockchain (ECG와 비콘 기반의 블록체인을 이용한 신원 인증 및 이상징후 탐지 기법)

  • Kim, Kyung-Hee;Lee, Keun-Ho
    • Journal of Internet of Things and Convergence
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    • v.7 no.3
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    • pp.69-74
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    • 2021
  • With the recent development of biometric authentication technology, the user authentication techniques using biometric authentication are increasing. Various problems arised in certification techniques that use various existing methods such as ID/PW. Therefore, recently, a method of improving security by introducing biometric authentication as secondary authentication has been used. In this thesis, proposal of the user authentication system that can detect user identification and anomalies using ECGs that are extremely difficult to falsify through the electrical biometric signals from the heart among various biometric authentication devices is studied. The system detects user anomalies by comparing ECG data received from a wrist-mounted wearable device-type ECG measurement tool with identification and ECG data stored in blockchain form on the database and identifying the user's location through a beacon system.

Performance Comparison of Neural Network Models for the Estimation of Instantaneous and Accumulated Powder Exhausts of a Bulk Trailer (벌크 트레일러의 순간 및 누적 분말 배출량 추정을 위한 신경망 모델 성능 비교)

  • Chang June Lee;Jung Keun Lee
    • Journal of Sensor Science and Technology
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    • v.32 no.3
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    • pp.174-179
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    • 2023
  • Bulk trailers, used for the transportation of powdered materials, such as cement and fly ash, are crucial in the construction industry. The speedy exhaustion of powdered materials stored in the tank of bulk trailers is relevant to improving transportation efficiency and reducing transportation costs. The exhaust time can be reduced by developing an automatic control system to replace the manual exhaust operation. The instantaneous or accumulated exhausts of powdered materials must be measured for automatic control of the bulk trailer exhaust system. Accordingly, we previously proposed a recurrent neural network (RNN) model that estimated the instantaneous exhaust based on low-cost pressure sensor signals without an expensive flowmeter for powders. Although our previous study utilized only an RNN model, models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are also widely utilized for time-series estimation. This study compares the performance of three neural network models (MLP, CNN, and RNN) in estimating instantaneous and accumulated exhausts. In terms of the instantaneous exhaust estimation, the difference in the performance of neural network models was insignificant (that is, 8.64, 8.62, and 8.56% for the MLP, CNN, and RNN, respectively, in terms of the normalized root mean squared error). However, in the case of the accumulated exhaust, the performance was excellent in the order of CNN (1.67%), MLP (2.03%), and RNN (2.20%).

A Development of Navigation Routes Recommendation System with Elements Analysis of Marine Leisure Activities (해양 레저 활동을 위한 요소 분석 및 항로 추천 시스템의 개발)

  • Kim, Bae-Sung;Hwang, Hun-Gyu;Shin, Il-Sik;Lee, Jang-Se;Yoo, Yung-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1355-1362
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    • 2016
  • Recently, the marine leisure are being emphasized with improving the quality of life style by increased income and spare time. Also, there is a increasement of people's interest in marine leisure activities. But resources and facilities do not grow in proportion to the quantitative growth of the current marine leisure industry. Besides, a leisure ship operator tends to choose a simple or familiar route of the local area rather than a new leisure routes which are not explored due to lack of accessible areas information. This paper proposes a routes recommendation system in order to solve above problems based on marine resource database. The databases have been constructed through investigation and analysis of navigational information such as environmental conditions including weather conditions and sea status, field of marine leisure activities, tourist attractions and natural landscape, and marine leisure prohibited areas. Therefore we have developed and implemented the route recommendation system that provides various information necessary to route operation of leisure boats.

Design and Implementation of Web Compiler for Learning of Artificial Intelligence (인공지능 학습을 위한 웹 컴파일러 설계 및 구현)

  • Park, Jin-tae;Kim, Hyun-gook;Moon, Il-young
    • Journal of Advanced Navigation Technology
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    • v.21 no.6
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    • pp.674-679
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    • 2017
  • As the importance of the 4th industrial revolution and ICT technology increased, it became a software centered society. Existing software training was limited to the composition of the learning environment, and a lot of costs were incurred early. In order to solve these problems, a learning method using a web compiler was developed. The web compiler supports various software languages and shows compilation results to the user via the web. However, Web compilers that support artificial intelligence technology are missing. In this paper, we designed and implemented a tensor flow based web compiler, Google's artificial intelligence library. We implemented a system for learning artificial intelligence by building a meteorJS based web server, implementing tensor flow and tensor flow serving, Python Jupyter on a nodeJS based server. It is expected that it can be utilized as a tool for learning artificial intelligence in software centered society.

A Study on Community Mapping for ICT-Based Livestock Infectious Disease Response (ICT 기반 가축 감염병 대응을 위한 커뮤니티 매핑 연구)

  • Koo, Jee Hee;Pyeon, Mu Wook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.3
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    • pp.247-257
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    • 2020
  • Livestock epidemics, such as foot and mouth disease, are causing enormous economic losses due to their strong infectious power. Early detection of infectious diseases in livestock is very important, but it is difficult to diagnose early in individual farms, and there are frequent cases of transmission through inter-farm movement such as veterinarians and feeding vehicles. In this study, we studied the technology that enables rapid diagnosis without veterinarian farm visits and prevents further spread by automatically monitoring the body temperature of livestock using ubiquitous-based information and communication technology in the early stage of onset and sending it in real time. We have presented a technique for systematically managing livestock epidemics at the farm level, regional level, and national level by using the community mapping technique by using the remote medical treatment system linked to the automatically collected information. In this process, community mapping items for each step and stakeholders were derived for crowd sourcing based spatial information technology.