• Proceedings of KOSOMES biannual meeting
• /
• 2008.05a
• /
• pp.1-4
• /
• 2008

근년 일본, 캐나다, 호주, 미국, EU(주로 노르웨이, 영국) 등에서 인공위성을 이용한 해양 안전의 확보를 위한 연구개발이 진행되고 있으며, 일부 실해역 적용의 분야도 도출되고 있는 실정이다. 9.11테러 이후, 국제해사기구에서도 해상보안의 문제는 주요 이슈로 대두되어, 해상보안에의 활용 기술 개발이 먼저 시작되었다. 그 외, 밀입국 선박 감시 덴 해양오염 모니터링이 주요 활용분야이다. 간단하게 요약하면 다음과 같다. -노르웨이: Norwegian Defence Hesearch Establishment(NDRE)에서 주도적으로 선박 탐지 실험 및 기술 개발을 실시. 주로, ESA의 위성을 활용. 국가 보안의 목적으로는 적용을 하고 있음. -캐나다: 캐나다에서 소유하고 있는 RADARSAT을 이용하여 가장 많은 실험을 실시함. 영상을 처리하고 결과에 대한 평가를 수행하기 위한 시스템(Ocean Monitoring Workstation, OSM)을 개발하여 보급에 주력. -호주: 주로 캐나다의 위성 및 시스템의 적용을 하고 있음 영해 및 환경 감시의 역할을 수행. Coastwatch조직을 만들어 해상 감시활동을 하고 있음. -영국: 데이터 취득 후, 2.5시간 이내에 선박의 위치를 전송하는 인터페이스를 개발함. 일본의 경우, 다른 선진국에 비해서는 다소 늦게 시작되었다. 2003년 발간된 '재해 등에 대응한 인공위성이용기술에 관한 종합보고서'를 시작으로 정보수집위성 4기 및 지구관측위성을 이용한 해양 감시 활동이 시작되었다. 또한, 제 3기 과학기술기본계획(2006-2012)내에 해양 불법침입 탐지 기술 개발 항목이 반영되어 있다. 유럽의 해상보안서비스(MARISS)의 사용자 워크숍이 ESA ESRIN(이탈리아 프라스카티)에서 2008년 1월 22일 열렸다. 실질적인 내용은, '해상보안을 위한 우주 시스템'에 관한 것으로 인공위성 이용하는데 있어 설계안 및 데이터 이용 컨셉을 제시하는 것이었다. 여기서 중요한 것은 국가간의 협력이 절대적으로 필요하며, 기존의 시스템과의 통합에 있어 신뢰성을 어떻게 확보하는가에 있다고 할 수 있다. 또한, 보안과 환경모니터링의 기능이 분리되어 진행되고 있는 부분에 대한 정보 통합 방향도 제기되었다. 국내에서도 AIS와 SAR정보의 결합에 관한 검토는 이루어졌으며, 이를 바탕으로 EU와 같은 시스템의 구축(조직과 연구개발)을 위한 실질적인 검토가 필요하다.

• Journal of the Korean Institute of Gas
• /
• v.25 no.5
• /
• pp.88-96
• /
• 2021

Advanced Internet of Things (IoT) technology is being used in various ways for the safety of the energy industry. At the center of safety measures, drones play various roles on behalf of humans. Drones are playing a role in reaching places that are difficult to reach due to large-scale facilities and space restrictions that are difficult for humans to inspect. In this study, the accuracy and completeness of movement of dangerous facilities were tested using drone images, and it was confirmed that the movement recognition accuracy was 100%, the average data analysis accuracy was 95.8699%, and the average completeness was 100%. Based on the experimental results, a future-oriented facility risk analysis system combined with ICT technology was implemented and presented. Additional experiments with diversified conditions are required in the future, and ICT convergence analysis system implementation is required.

• Journal of Cadastre & Land InformatiX
• /
• v.49 no.1
• /
• pp.113-121
• /
• 2019

The fourth industrial revolution technology focused on the fusion of infrastructure and various advanced technologies related city. Therefore, technical cooperation in various fields of research is essential. In order to activating the fourth industrial revolution technologies, it is necessary to research the state of technology in various fields. Consequently, this paper aims to analysis of domestic and foreign research trends on technology to the fourth industrial revolution using SNA and text mining for web site. We collected text, date data of research paper and report in web site for five years, that is, from January 1st in 2014 to December 31st in 2018. Next, we have deduced the major keywords in public data through analyzing the morphemes. Then we have analyzed the core and related keyword lists through an SNA. In Korea, the focus is on R&D and legal/institutional solution in relation to the fourth industrial revolution technology. On the other hand, in the case of foreign, there was focus on practical technologies for urban services in detail aspects.

• Smart Media Journal
• /
• v.8 no.3
• /
• pp.95-103
• /
• 2019

The global manufacturing industry has reached the limit to growth due to a long-term recession, the rise of labor cost and raw material. As a solution to these difficulties, we promote the 4th Industry Revolution based on ICT and sensor technology. Following this trend, this paper proposes the design of a model using manufacturing data in the protection film process for smart manufacturing innovation. In the protective film process, the manufacturing data of temperature, pressure, humidity, and motion and thermal image are acquired by various sensors for the raw material blending, stirring, extrusion, and inspection processes. While the acquired manufacturing data is stored in mass storage, A.I. platform provides time-series image analysis and its visualization.

• The Korean Journal of Archival Studies
• /
• no.54
• /
• pp.211-248
• /
• 2017

This study examined ways to improve records management by using the new technology of the Fourth Industrial Revolution. To do this, we selected four technologies that have a huge impact on the production and management of records such as cloud, big data, artificial intelligence, and the Internet of Things. We tested these technologies and summarized their concepts, characteristics, and applications. The characteristics of the changed production records were analyzed by each technology. Because of new technology, the production of records has rapidly increased and the types of records have become diverse. With this, there is also a need for solutions to explain the quality of data and the context of production. To effectively introduce each technology into records management, a roadmap should be designed by classifying which technology should be applied immediately and which should be applied later depending on the maturity of the technology. To cope with changes in the characteristics of production records, a flexible data structure must be produced in a standardized format. Public authorities should also be able to procure Software as a Service (SaaS) products and use digital technology to improve the quality of public services.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.2
• /
• pp.173-178
• /
• 2019

Recently, the types and amount of data generated, collected, and measured in IoT such as smart home, security, and factory are increasing. The technologies for IoT service include sensor devices to measure desired data, embedded software to control the devices such as signal processing, wireless network protocol to transmit and receive the measured data, and big data and AI-based analysis. In this paper, we focused on developing a gateway for interfacing heterogeneous sensor network protocols that are used in various IoT devices and propose a heterogeneous network interface IoT gateway. We utilized a OpenWrt-based wireless routers and used 6LoWAN stack for IP-based communication via BLE and IEEE 802.15.4 adapters. We developed a software to convert Z-Wave and LoRa packets into IP packet using our Python-based middleware. We expect the IoT gateway to be used as an effective device for collecting IoT big data.

• Journal of Platform Technology
• /
• v.9 no.1
• /
• pp.32-39
• /
• 2021

Existing environmental measuring devices mainly focus on electromagnetic wave and eco-friendly product certification and durability test, and sensor reliability verification and verification of measurement data are conducted mainly through sensor performance evaluation through type approval and registration, acceptance test, initial calibration, and periodic test. This platform has established an ICT-based environmental monitoring sensor reliability verification system that supports not only performance evaluation for each target sensor, but also a verification system for sensor data reliability. A sensor board to collect sensor data for environmental information was produced, and a sensor and data reliability evaluation and verification service system was standardized. In addition, to evaluate and verify the reliability of sensor data based on ICT, a sensor data platform monitoring prototype using LoRa communication was produced, and the test was conducted in smart cities. To analyze the data received through the system, an optimization algorithm was developed using machine learning. Through this, a sensor big data analysis system is established for reliability verification, and the foundation for an integrated evaluation and verification system is provide.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.11
• /
• pp.1403-1410
• /
• 2020

Recently, as interest in non-face-to-face experiences and services increases, the demand for web video contents that can be easily consumed using mobile devices such as smartphones or tablets is rapidly increasing. To cope with these requirements, in this paper we propose a technique to efficiently produce video contents that can provide experience of visiting famous places (i.e., stage tour) in animation or movies. To this end, an image dataset was established by collecting images of stage areas using Google Maps and Google Street View APIs. Afterwards, a deep learning-based style transfer method to apply the unique style of animation videos to the collected street view images and generate the video contents from the style-transferred images was presented. Finally, we showed that the proposed method could produce more interesting stage-tour video contents through various experiments.

• Journal of Internet of Things and Convergence
• /
• v.7 no.2
• /
• pp.41-45
• /
• 2021

This paper proposes a video content delivery scheme for vehicles. Today, we spend a lot of time commuting to work in vehicles such as trains and cars. In addition, the number of users who enjoy video content such as YouTube and Netflix in order to appease the boredom in the vehicle is increasing rapidly. Video content requires a larger amount of data usage than text-based content. Hence, the user's mobile communication data usage increases rapidly along with the cost. The proposed video content delivery scheme downloads a lot of video content in advance when the vehicle is in a free Wi-Fi area. In this way, it is possible to play video content in a vehicle at a low cost. It is expected that the proposed scheme can be applied to the Internet of Things(IoT) for moving objects.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.9
• /
• pp.1224-1230
• /
• 2020

Since the spread of smart phones, interest in wearable devices has increased and diversified, and is closely related to the lives of users, and has been used as a method for providing personalized services. In this paper, we propose a method to detect the user's behavior by applying information from a 3-axis acceleration sensor and a 3-axis gyro sensor embedded in a smartphone to a convolutional neural network. Human behavior differs according to the size and range of motion, starting and ending time, including the duration of the signal data constituting the motion. Therefore, there is a performance problem for accuracy when applied to a convolutional neural network as it is. Therefore, we proposed a Time-Division Feature Fusion Convolutional Neural Network (TDFFCNN) that learns the characteristics of the sensor data segmented over time. The proposed method outperformed other classifiers such as SVM, IBk, convolutional neural network, and long-term memory circulatory neural network.