• Title/Summary/Keyword: 복합 환경센서

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A Case Study in Japanese and Prospect of Cloud Computing Service in Convergence Age (융복합시대의 클라우드 컴퓨팅 서비스 전망 및 일본의 사례)

  • Lee, Seong-Hoon;Lee, Dong-Woo
    • Journal of the Korea Convergence Society
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    • v.6 no.1
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    • pp.17-22
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    • 2015
  • In information society, digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, culture, etc. Cloud computing has recently been recognized as one of the most emerging technology. Many related companies support cloud computing services. In this paper, we present an analysis of current gaps and new trends in cloud computing based on farming industry of japanese.

Image Retrieval using Multiple Features on Mobile Platform (모바일 플랫폼에서 다중 특징 기반의 이미지 검색)

  • Lee, Yong-Hwan;Cho, Han-Jin;Lee, June-Hwan
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.237-243
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    • 2014
  • In this paper, we propose a mobile image retrieval system which utilizes the mobile device's sensor information and enables running in a variety of the environments, and implement the system on Android platform. The proposed system deals with a new image descriptor using combination of the visual feature with EXIF attributes in the target of JPEG image, and image matching algorithm which is optimized to the mobile environments. Experiments are performed on the Android platform, and the experimental results revealed that the proposed algorithm exhibits a significant improved results with large image database.

Analyzing the Cooling Effect of Urban Green Areas by Using the Multiple Observation Network in the Seonjeongneung Region of Seoul, Korea (최근 2년간 서울 선정릉 지역의 복합센서 관측망을 활용한 녹지 냉각효과 분석)

  • Kim, Geun-Hoi;Lee, Young-Gon;Lee, Dae-Geun;Kim, Baek-Jo
    • Journal of Environmental Science International
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    • v.25 no.11
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    • pp.1475-1484
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    • 2016
  • To analyze the cooling effect of urban green areas, we conducted micrometeorological measurements in these areas and their surroundings in Seoul, Korea. From the average hourly temperature measurements through each month for the last two years (March 2013 to February 2015), we found that the maximum temperature difference between urban and green areas was about $2.9^{\circ}C$ at 16:00 LST in summer, and the minimum was about $1.7^{\circ}C$ at 22:00 LST in winter. In summer, the temperature difference was the largest during the day, rather than at night, due mainly to shading by the tree canopy. The specific humidity difference between the two areas was about $1.5g\;kg^{-1}$ in summer, and this decreased in the winter. The specific humidity difference between urban and green areas in summer is relatively large during the day, due to the higher evapotranspiration level of biologically active plants.

Current status and prospects of plant diagnosis and phenomics research by using ICT remote sensing system (ICT 원격제어 system 이용 식물진단, Phenomics 연구현황 및 전망)

  • Jung, Yu Jin;Nou, Ill Sup;Kim, Yong Kwon;Kim, Hoy Taek;Kang, Kwon Kyoo
    • Journal of Plant Biotechnology
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    • v.43 no.1
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    • pp.21-29
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    • 2016
  • Remote Sensing (RS) is a technique to obtain necessary information in a non-contact and non-destructive method by using various sensors on the surface, water or atmospheric phenomena. These techniques combine elements such as sensors, and platform and information communication technology (ICT) for mounting the sensor. ICT has contributed significantly to the success of smart agriculture through quantification and measurement of environmental factors and information such as weather, crop and soil management to distribution and consumption stage, as well as the production stage by the cloud computer. Remote sensing techniques, including non-destructive non-contact bioimaging (remote imaging) is required to measure the plant function. In addition, bioimaging study in plant science is performed at the gene, cellular and individual plant level. Recently, bioimaging technology is considered the latest phenomics that identifies the relationship between the genotype and environment for distinguishing phenotypes. In this review, trends in remote sensing in plants, plants diagnostics and response to environment and status of plants phonemics research were presented.

A Study of Message Communication Method Using Attribute Based Encryption in IoT Environment (IoT 환경에서 속성기반 암호화 기술을 활용한 메시지 통신 기법에 관한 연구)

  • Park, Jung-Oh
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.295-302
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    • 2016
  • Many countries, especially ICT powers, are supporting IoT-based technology at a national level and this technology is actively being researched in the businesses and research institutes in an aim to develop technology and create an ecosystem. Roads in the Seoul city are building public facilities based on IoT to provide various services and conveniences for the users. However, for the full-fledged introduction and development of IoT, there are many cases where infringement on security and privacy and threat for life and safety happen. Also, as the IoT environment includes various environment technologies such as the existing sensor network, heterogeneous communication network, and devices optimized for the IoT environment, it inherits the existing security threat and various attack techniques. This paper researches the attribute based encryption technology for safe communication in the IoT environment. The data collected from the device is transmitted utilizing the attribute based encryption and by designing the key generation protocol, grades and authorities for the device and users are identified to transmit safe messages.

Analysis of 3D composited monitoring system using unmanned surface vehicle (무인 원격 이동체를 활용한 3차원 복합 모니터링 기술에 관한 연구)

  • Ho Soo Lee;Chang Hyun Lee;Young DO Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.86-86
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    • 2023
  • 최근에 들어 환경보전과 지속가능한 하천관리의 중요성이 대두되고 있으며, 통합물관리에 있어 수리량과 수질을 연계한 통합 모니터링의 필요성이 커지고 있다. 수리량과 수질 분야에 대한 모니터링 기술은 지속적인 연구가 이루어져 왔으나, 각 분야의 개별적 연구로 인해 수리량과 수질을 통합하여 모니터링 하는 기술 개발은 미흡한 수준이다. 또한 수질 측정은 수질오염공정시험기준에 있는 채수 기준에 따라 채수하여 측정하고 있으며, 채수 지점은 하천의 수심별로 달리하여 정해진다. 수리 측정은 현장계측을 통한 2차원적 계측으로 진행하고 있어 수질 측정 시 채수지점과 수리 측정지점은 일치하지 않는다. 동일 지점에서의 수질과 수리량을 동시에 고려하고 있지 못한 모니터링은 본류와 지류의 혼합거동이 많은 국내 하천 특성을 반영하지 못한다. 또한 현재의 수질·수리 모니터링은 ADCP나 다항목수질측정기 같은 고가의 장비를 운영하며, 홍수기와 같은 고위험 계측 조건에서 인력을 통해 측정하고 있기에 고비용의 장비운영비와 인명 피해를 야기시키고 있다. 따라서 무인 원격 기술을 적용한 하천 모니터링 기술과 수질과 수리량의 데이터 연계를 통한 3차원 모니터링 기술의 확보는 하천관리에 있어 매우 필수적이다. 본 연구에서는 수중 무인 원격이동체인 ROV와 무인 원격이동체(USV)를 활용한 3차원 수질·수리 모니터링 기술 개발에 관한 연구를 수행하였다. 국내 하천 특성을 고려한 혼합거동을 분석하기 위해 ROV에 수중 GPS 장비와 수질센서를 부착시켜 수중 내 2차원으로 측정되는 수리량과 동일한 좌표를 가지는 수질자료를 계측하여 하천의 연직 분포와 수평적 분포를 통해 화학적 수리적 거동을 분석하여 하천의 3차원 혼합거동 양상을 판단할 수 있었다. 이와 같은 무인 원격이동체를 통한 3차원 수질·수리 모니터링 기술은 하천의 3차원 분석에서 수질·수리량 보간 자료로 활용 가능하며, 효율적인 모니터링을 통하여 하천 전반 및 통합물관리에 있어 크게 기여할 것이라 사료된다.

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Development of Underwater Positioning System using Asynchronous Sensors Fusion for Underwater Construction Structures (비동기식 센서 융합을 이용한 수중 구조물 부착형 수중 위치 인식 시스템 개발)

  • Oh, Ji-Youn;Shin, Changjoo;Baek, Seungjae;Jang, In Sung;Jeong, Sang Ki;Seo, Jungmin;Lee, Hwajun;Choi, Jae Ho;Won, Sung Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.352-361
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    • 2021
  • An underwater positioning method that can be applied to structures for underwater construction is being developed at the Korea Institute of Ocean Science and Technology. The method uses an extended Kalman filter (EKF) based on an inertial navigation system for precise and continuous position estimation. The observation matrix was configured to be variable in order to apply asynchronous measured sensor data in the correction step of the EKF. A Doppler velocity logger (DVL) can acquire signals only when attached to the bottom of an underwater structure, and it is difficult to install and recover. Therefore, a complex sensor device for underwater structure attachment was developed without a DVL in consideration of an underwater construction environment, installation location, system operation convenience, etc.. Its performance was verified through a water tank test. The results are the measured underwater position using an ultra-short baseline, the estimated position using only a position vector, and the estimated position using position/velocity vectors. The results were compared and evaluated using the circular error probability (CEP). As a result, the CEP of the USBL alone was 0.02 m, the CEP of the position estimation with only the position vector corrected was 3.76 m, and the CEP of the position estimation with the position and velocity vectors corrected was 0.06 m. Through this research, it was confirmed that stable underwater positioning can be carried out using asynchronous sensors without a DVL.

Improved Trilateration Method on USN for reducing the Error of a Moving Node Position Measurement (무선센서네트워크에서 삼변측량법 기반 이동노드 위치 오차를 줄이는 탐색기법)

  • Mun, Hyung-Jin;Jeong, Hee-Young;Han, Kun-Hee
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.301-307
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    • 2016
  • The location measurement technique of moving worker in dangerous areas, is necessary for safety in the mines, basements, warehouses, etc. There are various measurement techniques about moving node of position in a restricted environment. Trigonometric Method, one of measurement techniques, is commonly used because of its easiness. However, errors occur frequently when measuring distance and position due to radio interference and physical disability with measuring instruments. This paper proposed a method which is more accurate and shows reduced margin of error than existing trigonometric method by recalculating distance between Anchor and moving node with various measuring instruments. By adding Anchor when calculating distance and position of moving node's estimated point, suggested technique obtains at least 41% efficiency compared to existing method.

End to End Autonomous Driving System using Out-layer Removal (Out-layer를 제거한 End to End 자율주행 시스템)

  • Seung-Hyeok Jeong;Dong-Ho Yun;Sung-Hun Hong
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.65-70
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    • 2023
  • In this paper, we propose an autonomous driving system using an end-to-end model to improve lane departure and misrecognition of traffic lights in a vision sensor-based system. End-to-end learning can be extended to a variety of environmental conditions. Driving data is collected using a model car based on a vision sensor. Using the collected data, it is composed of existing data and data with outlayers removed. A class was formed with camera image data as input data and speed and steering data as output data, and data learning was performed using an end-to-end model. The reliability of the trained model was verified. Apply the learned end-to-end model to the model car to predict the steering angle with image data. As a result of the learning of the model car, it can be seen that the model with the outlayer removed is improved than the existing model.

Leakage Detection Method in Water Pipe using Tree-based Boosting Algorithm (트리 기반 부스팅 알고리듬을 이용한 상수도관 누수 탐지 방법)

  • Jae-Heung Lee;Yunsung Oh;Junhyeok Min
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.17-23
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    • 2024
  • Losses in domestic water supply due to leaks are very large, such as fractures and defects in pipelines. Therefore, preventive measures to prevent water leakage are necessary. We propose the development of a leakage detection sensor utilizing vibration sensors and present an optimal leakage detection algorithm leveraging artificial intelligence. Vibrational sound data acquired from water pipelines undergo a preprocessing stage using FFT (Fast Fourier Transform), followed by leakage classification using an optimized tree-based boosting algorithm. Applying this method to approximately 260,000 experimental data points from various real-world scenarios resulted in a 97% accuracy, a 4% improvement over existing SVM(Support Vector Machine) methods. The processing speed also increased approximately 80 times, confirming its suitability for edge device applications.