• Title/Summary/Keyword: Environment Mapping

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Anaerobic Corrosion Properties of Sangpyeongtongbo Excavated at Bigyeongdo, Seosan (서산 비경도 출수 상평통보의 혐기성 부식 특성)

  • Kim, Kyu Been;Chung, Kwang Yong
    • Journal of Conservation Science
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    • v.33 no.3
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    • pp.167-179
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    • 2017
  • In this study, Sangpyeontongbo excavated at Bigyeongdo, Seosan, were investigated to determine the components of the corrosion products that were formed while they were buried underwater in an anaerobic environment. The causes of corrosion product formation were also determined. Microstructure observation, element mapping, principle component analysis for each year, and the detection of corrosion products were carried out. Results indicate that the concretions of corrosion products on the surface are needle-, hexahedral-, and octahedral-shaped; Pb, Cu, and S were among the elements detected. The Cu-S layer was clearly verified using element mapping. An analysis of major elements for each layer showed that Cu, S, and Pb were present and that most Zn was eliminated. The corrosion products detected were $PbCO_3$ (concretion) and $Cu_{1.96}S$ (metal). Accordingly, the anaerobic corrosion properties of Sangpyeongtongbo are summarized as follows: dezincification, copper sulfide, and lead compound.

Lithological and Structural Lineament Mapping from Landsat 8 OLI Images in Ras Kammouna Arid Area (Eastern Anti-Atlas, Morocco)

  • Es-Sabbar, Brahim;Essalhi, Mourad;Essalhi, Abdelhafid;Mhamdi, Hicham Si
    • Economic and Environmental Geology
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    • v.53 no.4
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    • pp.425-440
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    • 2020
  • The study area is located in the southern part of the M'aider Paleozoic basin in the Moroccan Eastern Anti-Atlas. It is an arid region, characterized by minimal vegetation cover, which can provide an ideal environment to apply remote sensing. In this study, remote sensing and field investigations were integrated for lithological and structural lineaments mapping. The Landsat 8 OLI data were processed in order to understand the role of lithology and geological structures in the distribution of mineral deposits in the study area. To achieve this purpose, the Color Composite (CC), the Principal Component Analysis (PCA) and Band Rationing transformation (BR) tests were performed. The results of remote sensing techniques coupled with field investigations have shown that the zones of high lineaments densities are highly correlated with the occurrences of barite mineralization. These findings depict a spatial relationship between structural lineaments and the mineralization distribution zones. Therefore, the barite and Iron oxides mineralization veins, which occur mainly in the Ras Kammouna district, seem to have a structural control. The methodological approach used in this study examining lithological mapping and lineament extractions can be used to explore mineral deposits in arid regions to a high degree of efficiency.

Speech Recognition based on Environment Adaptation using SNR Mapping (SNR 매핑을 이용한 환경적응 기반 음성인식)

  • Chung, Yong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.5
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    • pp.543-548
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    • 2014
  • Multiple-model based speech recognition framework (MMSR) has been known to be very successful in speech recognition. Since it uses multiple hidden Markov modes (HMMs) that corresponds to various noise types and signal-to-noise ratio (SNR) values, the selected acoustic model can have a close match with the test noisy speech. However, since the number of HMM sets is limited in practical use, the acoustic mismatch still remains as a problem. In this study, we experimentally determined the optimal SNR mapping between the test noisy speech and the HMM set to mitigate the mismatch between them. Improved performance was obtained by employing the SNR mapping instead of using the estimated SNR from the test noisy speech. When we applied the proposed method to the MMSR, the experimental results on the Aurora 2 database show that the relative word error rate reduction of 6.3% and 9.4% was achieved compared to a conventional MMSR and multi-condition training (MTR), respectively.

Design and Implementation of the Conversion Rule between XML and MTF Messages (MTF 메시지와 XML간 상호변환 규칙 설계 및 구현)

  • Park, In-Soo;Yoon, Hee-Byung
    • The KIPS Transactions:PartD
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    • v.12D no.5 s.101
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    • pp.781-788
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    • 2005
  • MTF message is the normalized and standardized format which is used in the time when it tries to transmit data to other systems or exchanges needed information in defense message systems. XML can support variety of search functionality and is estimated to be the best way from the view of efficient presentation and exchange in internet based environment, based on advantage which is independent of hardware and software. US army brought in XML-MTF combining with XML based technology, but we do not contain such a MTF system, and necessity of MTF is increasing for combined operation between ROK and US as a lot of C4I system were transferred to Web based systems. In this paper, we make analysis of fundamental structure, organization of paragraph, witting regulation of MTF message. We present the rule of naming element and fundamental mapping rule for transformation of its XML based on it. Also, we prove that MTF message can be transformed to XML document by trying to transforming sample documents to XML document applying presented mapping rule, creating MTF message based on it and implement program which can automatically transform them to XML-MTF.

Proposed Survey Steps for Investigation of Land-Creeping Susceptibility Areas: A Focus on Geophysical Mapping of the Yongheung-dong, Pohang, Korea

  • Kim, Jeong-In;Lee, Sun-Joong;Kim, Kwan-Soo;Lee, Jae-Eun;Sa, Jin-Hyun;Kim, Ji-Soo
    • The Journal of Engineering Geology
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    • v.31 no.3
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    • pp.269-281
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    • 2021
  • Land creeping is the imperceptibly slow, steady, downward movement o f slope-forming soil or rock. Because creep-related failures occur frequently on a large scale without notice, they can be hazardous to both property and human life. Korea Forest Service has operated the prevention and response system from land creeping which has been on the rise since 2018. We categorized and proposed three survey steps (e.g., preliminary, regional, detailed) for investigation of creeping susceptibility site with a focus on geophysical mapping of a selected test site, Yongheung-dong, Pohang, Korea. The combination of geophysical (dipole-dipole electrical resistivity tomography and reciprocal seismic refraction technique, well-logging), geotechnical studies (standard penetrating test, laboratory tests), field mapping (tension cracks, uplift, fault), and comprehensive interpretation of their results provided the reliable information of the subsurface structures including the failure surface. To further investigate the subsurface structure including the sliding zone, we performed high-resolution geophysical mapping in addition to the regional survey. High-resolution seismic velocity structures are employed for stability analysis because they provided more simplified layers of weathering rock, soft rock, and hard rock. Curved slip plane of the land creeping is effectively delineated with a shape of downslope sliding and upward pushing at the apex of high resistive bedrock in high-resolution electrical resistivity model with clay-mineral contents taken into account. Proposed survey steps and comprehensive interpretation schemes of the results from geological, geophysical, and geotechnical data should be effective for data sets collected in a similar environment to land-creeping susceptibility area.

A Study in the Efficient Collection and Integration of a Sensed Data in a Cloud Computing Environment (클라우드 컴퓨팅 환경에서 센싱된 데이터의 효율적 수집 및 통합에 관한 연구)

  • Hwang, Chi-Gon;Yoon, Chang-Pyo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.324-325
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    • 2016
  • The sensor network-based service collects data by using the sensor, the data is aware of the situation via the analysis, and the service provider provides a service suitable for the user via the context-awareness. However, this data is generated, it is difficult to match the metadata and standard units. The data integration is required to use the data generated by the different specifications of the sensor efficiently. Accordingly, in this paper we propose a method using an ontology as a method to integrate the data generated by the existing sensors and the new sensor. The ontology is mapping to the standard item and sensors, also include a type and structural difference. The mapping is comprised of two:data mapping, and metadata mapping. There are standard items that are created in this way, type of data exchange between services. This can solve the heterogeneous problem generated by sensors.

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Development of noise mapping system to manage the interior room noise of power plants (발전소의 실내 소음관리를 위한 소음 매핑 시스템 개발)

  • Kim, Young-Il;Kim, Won-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.1
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    • pp.92-98
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    • 2021
  • The noise management in the interior of the power plant is difficult because the interior is large and the noise level varies greatly from location to location. Therefore, a noise visualization system capable of analyzing the noise distribution is required in order to effectively manage the interior noise. A noise mapping system was developed that can model the inside of the turbine room and create a noise map by measuring the noise level at selected points. And in order to increase the reliability of the model, the model was modified through a method of comparing the noise map and the actual noise measurement results. Facility abnormalities can be determined through regular analysis of noise maps, and a method of effectively managing the interior noise is presented by comparing and analyzing the frequencies and levels of the current and previous noise at a specific point. By using the mapping system, it is possible to establish noise countermeasures that can improve the working environment, check the machine for abnormalities, and increase the reliability of the facility through preventive maintenance.

Spatial-temporal Assessment and Mapping of the Air Quality and Noise Pollution in a Sub-area Local Environment inside the Center of a Latin American Megacity: Universidad Nacional de Colombia - Bogotá Campus

  • Fredy Alejandro, Guevara Luna;Marco Andres, Guevara Luna;Nestor Yezid, Rojas Roa
    • Asian Journal of Atmospheric Environment
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    • v.12 no.3
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    • pp.232-243
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    • 2018
  • The construction, development and maintenance of an economically, environmentally and socially sustainable campus involves the integration of measuring tools and technical information that invites and encourages the community to know the actual state to generate positive actions for reducing the negative impacts over the local environment. At the Universidad Nacional de Colombia - Campus $Bogot{\acute{a}}$, a public area with daily traffic of more than 25000 people, the Environmental Management Bureau has committed with the monitoring of the noise pollution and air quality, as support to the campaigns aiming to reduce the pollutant emissions associated to the student's activities and campus operation. The target of this study is based in the implementation of mobile air quality and sonometry monitoring equipment, the mapping of the actual air quality and noise pollution inside the university campus as a novel methodology for a sub-area inside a megacity. This results and mapping are proposed as planning tool for the institution administrative sections. A mobile Kunak$^{(R)}$ Air & OPC air monitoring station with the capability to measure particulate matter $PM_{10}$, $PM_{2.5}$, Ozone ($O_3$), Sulfur Oxide ($SO_2$), Carbon Monoxide (CO) and Nitrogen Oxide ($NO_2$) as well as Temperature, Relative Humidity and Latitude and Longitude coordinates for the data georeferenciation; and a sonometer Cirrus$^{(R)}$ 162B Class 2 were used to perform the measurements. The measurements took place in conditions of academic activity and without it, with the aim of identify the impacts generated by the campus operation. Using the free code geographical information software QGIS$^{(R)}$ 2.18, the maps of each variable measured were developed, and the impacts generated by the operation of the campus were identified qualitative and quantitively. For the measured variables, an increase of around 21% for the $L_{Aeq}$ noise level and around 80% to 90% for air pollution were detected during the operation period.

Panoramic Image Generation for the Virtual Environment (가상환경을 위한 파노라마 생성에 관한 연구)

  • Kim, Tae-Eun
    • Journal of Digital Contents Society
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    • v.8 no.3
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    • pp.365-370
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    • 2007
  • This paper proposes a new algorithm that generates a panorama image for reconstruction of image-based virtual environment. Proposed algorithm can generate panorama image from input images using the projective transform based on the feature model and a fully immersive image-based virtual environment according to the user's view point by the sphere mapping. Especially, proposed algorithm supports robust methods of camera rotation and is applied to various images to estimate ist performance.

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Applications of Drones for Environmental Monitoring of Pollutant-Emitting Facilities

  • Son, Seung Woo;Yu, Jae Jin;Kim, Dong Woo;Park, Hyun Su;Yoon, Jeong Ho
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.2 no.4
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    • pp.298-304
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    • 2021
  • This study aimed to determine the applicability of drones and air quality sensors in environmental monitoring of air pollutant emissions by developing and testing two new methods. The first method used orthoimagery for precise monitoring of pollutant-emitting facilities. The second method used atmospheric sensors for monitoring air pollutants in emissions. Results showed that ground sample distance could be established within 5 cm during the creation of orthoimagery for monitoring emissions, which allowed for detailed examination of facilities with naked eyes. For air quality monitoring, drones were flown on a fixed course and measured the air quality in point units, thus enabling mapping of air quality through spatial analysis. Sensors that could measure various substances were used during this process. Data on particulate matter were compared with data from the National Air Pollution Measurement Network to determine its future potential to leverage. However, technical development and applications for environmental monitoring of pollution-emitting facilities are still in their early stages. They could be limited by meteorological conditions and sensitivity of the sensor technology. This research is expected to provide guidelines for environmental monitoring of pollutant-emitting facilities using drones.