• Korea Information Processing Society Review
• /
• v.23 no.1
• /
• pp.34-52
• /
• 2016

클라우드(Cloud)가 ICT 패러다임으로 등장하면서 구글(Google), 아마존(Amazon), 애플(Apple) 등 글로벌 클라우드와 KT, LG 등 국내 클라우드 서비스가 급증하고 있으며, 공공에서도 정부통합전산센터, 교과부 등으로 클라우드가 빠르게 확산 중이다. 하지만, 국내 클라우드 서비스는 대부분 인프라 서비스(IaaS)로 클라우드 응용프로그램을 개발 운영하는 환경(플랫폼)이 없어 IoT나 모바일처럼 풍성한 응용이 핵심인 글로벌 클라우드 생태계 구축에 한계가 있다. 본 연구는 개발자나 응용 소프트웨어 제공업체들이 응용 애플리케이션들을 개방형 플랫폼에 개발 배포 운영 관리할 수 있는 기반을 마련하고, 전자정부 표준 프레임워크를 기반으로 정보시스템들을 구축 운영하던 공공기관들과 민간 기업들이 별도 비용 없이 혹은 적은 비용으로 이식이 가능하게 함으로써 개별적인 서비스를 클라우드 플랫폼에서의 서비스로 전환하려고 하는 응용 소프트웨어 제공업체들에게 전략을 제시하며, 이를 기반으로 성공적인 구축을 위한 실행 전략도 함께 제시하였다. 본 연구에서 제시한 실제 어플리케이션 적용 사례는 국내의 전자정부 프레임워크에 능통한 개발자 또는 개발사에서 단일 서비스 플랫폼에서 클라우드 플랫폼으로의 개발역량을 향상시키는 전환점을 제공할 것으로 예상된다.

• The Journal of Society for e-Business Studies
• /
• v.22 no.4
• /
• pp.103-115
• /
• 2017

Globally, frequency and scale of natural disasters are growing, also the damage is increasing. In view of the damage by natural disasters for several years, it is true that Korea is not free from such damages. In this paper, we propose a process to efficiently manage recovery resources in case of disaster damage. We utilize the IoT technology to detect the resource status in real time, and configure the process so that the state and movement of the recovery resource can be grasped in real time through the resource activity recognition module. In addition, we designed the database that is necessary to actualize it, and developed and experimented resource activity recognition module using smart-phone sensors. This will contribute to building a quick and efficient disaster response system.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.2
• /
• pp.1-17
• /
• 2020

This Study aims to change and expand present traffic regulation from the human driver to Automated Vehicle(AV), we conducted an in-depth interview(IDI) into the traffic regulation service's strategy for an AV-related information consumer group(AVs and service developers) and a manager group (an information service management agency). The IDI results confirmed several important opinions and requirements for an information service by regulatory information manager groups (enough for AV development), such as a systematic need for dynamic regulatory information and a unified information management system. Also, we find out implications about adopting the Internet of Things (IoT) technology in traffic safety facilities to provide dynamic regulation information on the roads.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.12
• /
• pp.1654-1661
• /
• 2020

Internet of Things(IoT) technology can remotely collect and control a sensing information of device by attaching a small communication device to equipment that does not support communication. Low-Power Wide-Area Network (LPWAN), a low-power, long-distance communication technology, was proposed to support IoT technology, and Long Range(LoRa) is representative. Various systems, including network device, can collect and control the status information of device in real time through remote access. However, when a network failure occurs, remote access and status monitoring are impossible unless there is a separate additional network. To overcome this problem, in this paper, we propose an independent remote device management system that can be easily attached to device, which monitors and controls equipment remotely using an independent network. We will design and implement the proposed system, via which we will show its practicality and expandability.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2016.11a
• /
• pp.366-367
• /
• 2016

과거 활용되던 재난관련 정보는 재난 발생을 신속하게 전파하거나, 피해규모, 복구자원 현황을 파악하는 등 재난피해 복구에 초점이 맞춰져 있었다. 그러나 최근에는 IT 기반이 확충되고 컴퓨팅 성능이 향상됨에 따라 그 양상이 변화하고 있다. 정형 및 비정형 데이터를 활용한 빅데이터 분석 기술은 재난의 예방과 대비를 위한 기술에 활용되고 있으며, 재난현장의 실시간 정보획득을 위해 IoT 기술이 도입되고 있다. 이처럼 재난정보의 수집, 관리, 분석 제공에 관한 중요성이 증대됨에 따라서 재난의 양상에 능동적으로 대처하고 정보의 효율적인 관리 및 이용을 위해 클라우드 컴퓨팅에 대한 관심이 부각되고 있다. 이에 본 논문에서는 재난관련 정보 활용 양상 변화에 대처하기 위해 재난관리시스템에 클라우드 컴퓨팅 서비스의 적용 방안을 검토하고자 한다. 사회가 복잡해짐에 따라 재난은 이제 사회 전반의 모든 정보를 다뤄야 하기 때문에, 과거 빅데이터의 3대 요소인 크기(Volume), 속도(Velocity), 다양성(Varsity)을 넘어 정확성(Veracity)과 가치(Value)를 뽑아낼 수 있는 방안에 대해 설명한다. 나아가 재난정보시스템의 효율적인 활용을 위한 클라우드 컴퓨팅 서비스의 활용방안에 대해 논의한다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.12 no.4
• /
• pp.715-724
• /
• 2017

Today all kinds of smart devices are being developed with various researches on wearable devices that support smart computing on the human body. Skin diseases continue to rise including freckles, pimples, atopy, and scalp trouble due to the environmental and genetic factors, and people pay bigger medical bills to treat their skin diseases. There is thus a need to develop a smart-phone or table-based smart healthcare imaging system of high portability and diagnostic accuracy capable of analyzing and managing various skin problems related to skin care. This study proposed an integrated system combining the Smart Mi Band, a wearable device using moisture and UV sensors based on IoT, on the hardware part with the sensor information monitoring software.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.1
• /
• pp.221-228
• /
• 2018

Big data is an important keyword in World's Fourth Industrial Revolution in public and private division including IoT(Internet of Things), AI(Artificial Intelligence) and Cloud system in the fields of science, technology, industry and society. Big data based on services are available in various fields such as transportation, weather, medical care, and marketing. In particular, in the field of sports, various types of bio-signals can be collected and managed by the appearance of a wearable device that can measure vital signs in training or rehabilitation for daily life rather than a hospital or a rehabilitation center. However, research on big data with vital signs from wearable devices for training and rehabilitation for baseball players have not yet been stimulated. Therefore, in this paper, we propose a system for baseball infield and outfield players, especially which can store and analyze the momentum measurement vital signals based on big data.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.4
• /
• pp.537-542
• /
• 2021

Smart TVs provide a variety of services and information compared to existing TVs based on the Internet. In order to provide more personalized services or information, it is necessary to analyze users' viewing patterns and provide customized services or information based on them. The proposed system receives the user's TV viewing pattern, analyzes it, and recommends a TV program or movie as customized information to the user. For this, the system was constructed with a preprocessor and a deep learning model. The preprocessor refines the name of the TV program watched by the user, the date the TV program was watched, and the watched time. Then, the multi-attribute LSTM model trains the refined data and performs prediction.The proposed system is a system that provides customized information to users, and is believed to be a leading technology in digital convergence that combines existing IoT technology and deep learning technology.

• Journal of Platform Technology
• /
• v.11 no.3
• /
• pp.3-11
• /
• 2023

Real-time control systems are growing rapidly as infrastructure technologies such as IoT and mobile communication develop and services that value real-time such as factory management and vehicle operation checks increase. Various solutions have been proposed to increase the time sensitivity of this system, but most real-time control systems are currently composed of local servers and multiple clients located in control stations, which are transmitted to local servers where control systems are located. In this paper, we proposed an edge computing-based real-time control model that can reduce the time it takes for the bus information system, one of the real-time control systems, to provide the information to the user at the time it collects the information. Simulating the existing model and the edge computing model, the edge computing model confirmed that the cost for users to receive data is reduced from at least 10% to up to 80% compared to the existing model.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.9
• /
• pp.1228-1236
• /
• 2018

Recently, the maritime environment contaminated by the abandoned fishing gears. To solve this problem, there requires systematic management techniques for the fishing gears based on ICT technologies. The existed systems are optionally used by owners, but the systems need to adopt the monitoring and control architecture for integrated national surveillance. To do this, we designed an architecture for effective monitoring and management which collects position and state information using automatic identification buoy (AIB) device, to send the fishing ship, administrator ship, and shore side control center based on the IoT networks. Especially, in this paper, we developed the ENC-based integrated control system for efficient management which provides functions for position indication, state information display and loss alarm of fishing gears. Also, we conduct performance tests for data processing and visualization functions of the system to use a virtual buoy generation module.