• Title/Summary/Keyword: 공간평가

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The Current Trend and Task for the Nosa Studies: focusing on the researches in Korean Philosophy (노사학(蘆沙學) 연구(硏究)의 현황(現況)과 과제(課題) - 한국 철학계의 연구를 중심으로 -)

  • Park, Hakrae
    • (The)Study of the Eastern Classic
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    • no.70
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    • pp.347-384
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    • 2018
  • This paper has two goals: first, I will analyze the current research trend of studying the Nosa School, which is composed of Ki Jeongjin(1798~1879) and his students and then, provide with some tasks we have to solve. The Nosa Studies, which I suggest here, means the one that the scholarship and thought of Ki Jeongjin, one of the six masters and the representatives of neo- Confucianism in late Choson Korea, and all kinds of academic achievements, which had been succeeded and established by his students. Their diverse activities as well as scholarship play crucial roles in both modern Korean Confucianism and Dao Studies in late Choson Korea. Ki's core thought is a conclusion of various issues, which had been raised since Korean Confucianism of Toegye and Yukgok. Their diverse activities kicked into high gear after Ki's death can be understood as one of remarkable cases, which was how to be transformed by encounters with realities in modern Korea. Especially, some controversies and responses to practical issues that linked with their philosophical values of the Nosa Studies in Kiho school in early twentieth century will be a criterion to shed light on the identity of Korean Confucianism today. Thus, I will summarize the content of researches on the Nosa Studies, which begins to appear in the early-mid twentieth century, through an overview of the Nosa Studies, examine research results by dividing part by part, and provide with some prospects and tasks, which are based on what I mention above.

Indoor Positioning System using Geomagnetic Field with Recurrent Neural Network Model (순환신경망을 이용한 자기장 기반 실내측위시스템)

  • Bae, Han Jun;Choi, Lynn;Park, Byung Joon
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.6
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    • pp.57-65
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    • 2018
  • Conventional RF signal-based indoor localization techniques such as BLE or Wi-Fi based fingerprinting method show considerable localization errors even in small-scale indoor environments due to unstable received signal strength(RSS) of RF signals. Therefore, it is difficult to apply the existing RF-based fingerprinting techniques to large-scale indoor environments such as airports and department stores. In this paper, instead of RF signal we use the geomagnetic sensor signal for indoor localization, whose signal strength is more stable than RF RSS. Although similar geomagnetic field values exist in indoor space, an object movement would experience a unique sequence of the geomagnetic field signals as the movement continues. We use a deep neural network model called the recurrent neural network (RNN), which is effective in recognizing time-varying sequences of sensor data, to track the user's location and movement path. To evaluate the performance of the proposed geomagnetic field based indoor positioning system (IPS), we constructed a magnetic field map for a campus testbed of about $94m{\times}26$ dimension and trained RNN using various potential movement paths and their location data extracted from the magnetic field map. By adjusting various hyperparameters, we could achieve an average localization error of 1.20 meters in the testbed.

Study on Detection for Cochlodinium polykrikoides Red Tide using the GOCI image and Machine Learning Technique (GOCI 영상과 기계학습 기법을 이용한 Cochlodinium polykrikoides 적조 탐지 기법 연구)

  • Unuzaya, Enkhjargal;Bak, Su-Ho;Hwang, Do-Hyun;Jeong, Min-Ji;Kim, Na-Kyeong;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1089-1098
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    • 2020
  • In this study, we propose a method to detect red tide Cochlodinium Polykrikoide using by machine learning and geostationary marine satellite images. To learn the machine learning model, GOCI Level 2 data were used, and the red tide location data of the National Fisheries Research and Development Institute was used. The machine learning model used logistic regression model, decision tree model, and random forest model. As a result of the performance evaluation, compared to the traditional GOCI image-based red tide detection algorithm without machine learning (Son et al., 2012) (75%), it was confirmed that the accuracy was improved by about 13~22%p (88~98%). In addition, as a result of comparing and analyzing the detection performance between machine learning models, the random forest model (98%) showed the highest detection accuracy.It is believed that this machine learning-based red tide detection algorithm can be used to detect red tide early in the future and track and monitor its movement and spread.

Study of Riverline Change around Sannam Wetland in the Hangang River Estuaty using LANDSAT Image Processing (LANDSAT 위성사진을 활용한 한강하구 산남습지 인근 하안선 변화 연구)

  • Youn, Sukzun;Lee, Samhee;Jang, Changhwan
    • Journal of Wetlands Research
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    • v.23 no.2
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    • pp.154-162
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    • 2021
  • The naturally opened Han river estuary is a place where the flows of the Han river, Imjin river, Yaesung river meet with West Sea of Korea, so the hydrodynamic mechanism(Impact-Response) structure of Han river estuary is complex. Continuous observation and measurement due to the morphological characteristics at the estuary are required to maintain the estuary environment and river management facilities. However, the Sannam wetland(the study area) is in the military operation area. Therefore, Sannam wetland has the limited access under the control from military office. In 2020, there had a natural disaster due to flooding in August and COVID-19, and it made a survey hard. The noncontact survey technique, the analysis of LANDSAT images at Sannam wetland, was applied to analyze riverbed fluctuation and morphological transformation around Sannam wetland. LANDSAT images obtained from EarthExplorer, USGS and analyzed by QGIS. The analysis was performed based on the area and the distance near Sannam wetland. As a result, an erosion was happened on the downstream of the study area, and the upstream of the study area did not have any serious sediment transport. Considering the resolution of LANDSAT images, this noncontect survey technique is applicable to manage the study area. From the analysis of LANDSAT images, it is assumed that the tidal effect is greater than the inflow from the upstream. The pattern change of tidal response causes the damage of the river facilities near the Hangang river estuary.

Flexural Performance of PHC Piles with Infilled concrete and Longitudinal Reinforcing Bars (속채움 콘크리트 및 길이방향 철근으로 보강된 PHC 파일의 휨성능)

  • Han, Sun-Jin;Lee, Jungmin;Kim, Min-Seok;Kim, Jae-Hyun;Kim, Kang Su;Oh, Young-Hun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.3
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    • pp.77-84
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    • 2021
  • In this study, flexural tests of prestressed high strength spun concrete (PHC) piles reinforced with infilled concrete and longitudinal rebars were conducted, where the longitudinal rebar ratio and the presence of sludge formed on the inner surface of PHC pile were set as key test variables. A total of six PHC pile specimens were manufactured, and their flexural behaviors including failure mode, crack pattern, longitudinal strain distribution in a section and end slip between external PHC pile and infilled concrete were measured and discussed in detail. The test results revealed that the flexural stiffness and strength increased as the longitudinal rebar ratio became larger, and that the sludge formed on the inner surface of PHC pile did not show any detrimental effect on the flexural performance. In addition to the experimental approach, this study presents a nonlinear flexural analysis model considering compatibility conditions and strain and stress distributions of the PHC piles and infilled concrete. The rationality of the nonlinear flexural analysis model was verified by comparing it with test results, and it appeared that the proposed model well evaluated the flexural behavior of PHC piles reinforced with infilled concrete and longitudinal rebars with a good accuracy.

A Survey and Study on Operator's Awareness for a Suggestion of Policy for Revitalization of Small Libraries in Gwangmyeong City (광명시 작은도서관 활성화 정책 제안을 위한 운영자 인식조사 연구)

  • Choi, Man-Ho;Noh, Younghee;Kim, Yoon-Jeong
    • Journal of the Korean Society for information Management
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    • v.38 no.1
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    • pp.1-23
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    • 2021
  • Small libraries have continued to be extended since 2013 enactment of regulations requiring establishment of small libraries in multi family housing complex not less than 500 households and the 'Living SOC Project' of national government. Gwangmyeong city designated the year of 2020 as the 'year of citizen autonomy' sharing the authority with citizens and publicly announced its plan to rapidly extend the living and cultural spaces as a part of that extension. Likewise, as the social environment and the need of users are expected to change, it seems that the small libraries in Gyangmyeong City must prepare a plan for practicing a long and mid term practices in responding to that change. Thus, this Study tries to make a suggestion for a plan for the policy for revitalization of small libraries in order to handle those changing social environment and the need of users. For this, a survey and in-depth group interview were conducted for the operators of the small libraries in Gyangmyeong City. As a result of this Study, the following policies are suggested: first, improvement of support system for improving operational system, strengthening of cooperative system of public libraries, and strengthening of role of public small libraries, strengthening of public characters of private small libraties and differentiated support through evaluation based on abilities; and second, it is necessary for utilization of circulating librarians and professional volunteers, sharing of materials through mutual lending of books, associate librarians having term of office and revitalization of small library conference by regions.

Sentiment Analysis using Robust Parallel Tri-LSTM Sentence Embedding in Out-of-Vocabulary Word (Out-of-Vocabulary 단어에 강건한 병렬 Tri-LSTM 문장 임베딩을 이용한 감정분석)

  • Lee, Hyun Young;Kang, Seung Shik
    • Smart Media Journal
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    • v.10 no.1
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    • pp.16-24
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    • 2021
  • The exiting word embedding methodology such as word2vec represents words, which only occur in the raw training corpus, as a fixed-length vector into a continuous vector space, so when mapping the words incorporated in the raw training corpus into a fixed-length vector in morphologically rich language, out-of-vocabulary (OOV) problem often happens. Even for sentence embedding, when representing the meaning of a sentence as a fixed-length vector by synthesizing word vectors constituting a sentence, OOV words make it challenging to meaningfully represent a sentence into a fixed-length vector. In particular, since the agglutinative language, the Korean has a morphological characteristic to integrate lexical morpheme and grammatical morpheme, handling OOV words is an important factor in improving performance. In this paper, we propose parallel Tri-LSTM sentence embedding that is robust to the OOV problem by extending utilizing the morphological information of words into sentence-level. As a result of the sentiment analysis task with corpus in Korean, we empirically found that the character unit is better than the morpheme unit as an embedding unit for Korean sentence embedding. We achieved 86.17% accuracy on the sentiment analysis task with the parallel bidirectional Tri-LSTM sentence encoder.

Estimation of soil moisture based on Sentinel-1 SAR data: Assessment of soil moisture estimation in different vegetation condition (Sentinel-1 SAR 토양수분 산정 연구: 식생에 따른 토양수분 모의평가)

  • Cho, Seongkeun;Jeong, Jaehwan;Lee, Seulchan;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.54 no.2
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    • pp.81-91
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    • 2021
  • Synthetic Apreture Radar (SAR) is attracting attentions with its possibility of producing high resolution data that can be used for soil moisture estimation. High resolution soil moisture data enables more specific observation of soil moisture than existing soil moisture products from other satellites. It can also be used for studies of wildfire, landslide, and flood. The SAR based soil moisture estimation should be conducted considering vegetation, which affects backscattering signals from the SAR sensor. In this study, a SAR based soil moisture estimation at regions covered with various vegetation types on the middle area of Korea (Cropland, Grassland, Forest) is conducted. The representative backscattering model, Water Cloud Model (WCM) is used for soil moisture estimation over vegetated areas. Radar Vegetation Index (RVI) and in-situ soil moisture data are used as input factors for the model. Total 6 study areas are selected for 3 vegetation types according to land cover classification with 2 sites per each vegetation type. Soil moisture evaluation result shows that the accuracy of each site stands out in the order of grassland, forest, and cropland. Forested area shows correlation coefficient value higher than 0.5 even with the most dense vegetation, while cropland shows correlation coefficient value lower than 0.3. The proper vegetation and soil moisture conditions for SAR based soil moisture estimation are suggested through the results of the study. Future study, which utilizes additional ancillary vegetation data (vegetation height, vegetation type) is thought to be necessary.

Technology Development for Non-Contact Interface of Multi-Region Classifier based on Context-Aware (상황 인식 기반 다중 영역 분류기 비접촉 인터페이스기술 개발)

  • Jin, Songguo;Rhee, Phill-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.175-182
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    • 2020
  • The non-contact eye tracking is a nonintrusive human-computer interface providing hands-free communications for people with severe disabilities. Recently. it is expected to do an important role in non-contact systems due to the recent coronavirus COVID-19, etc. This paper proposes a novel approach for an eye mouse using an eye tracking method based on a context-aware based AdaBoost multi-region classifier and ASSL algorithm. The conventional AdaBoost algorithm, however, cannot provide sufficiently reliable performance in face tracking for eye cursor pointing estimation, because it cannot take advantage of the spatial context relations among facial features. Therefore, we propose the eye-region context based AdaBoost multiple classifier for the efficient non-contact gaze tracking and mouse implementation. The proposed method detects, tracks, and aggregates various eye features to evaluate the gaze and adjusts active and semi-supervised learning based on the on-screen cursor. The proposed system has been successfully employed in eye location, and it can also be used to detect and track eye features. This system controls the computer cursor along the user's gaze and it was postprocessing by applying Gaussian modeling to prevent shaking during the real-time tracking using Kalman filter. In this system, target objects were randomly generated and the eye tracking performance was analyzed according to the Fits law in real time. It is expected that the utilization of non-contact interfaces.

A Study on Current Status Analysis and Improvement Plans for Records Management in University's Organizations Based on Person in Charge of Records Management Perspectives (기록물관리책임자의 관점에서 바라본 대학 처리과 기록물 관리 현황 및 개선방안)

  • Jang, Ji Hye;Kim, Hye Young;Youn, Eun-Ha
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.1
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    • pp.189-209
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    • 2021
  • This study aims to examine the current status of and problems in records management by the person in charge of university records management and derive improvement measures to manage university processing and records management systematically. The study's results are as follows: first, administrative problems with processing and service, and second, issues arising from records management procedures, such as the production and registration of processing departments, notification of production status, transfer, cleanup and physical storage, and assessment and disposal, as well as the lack of knowledge and records management. In response, it was suggested that training is needed to improve processing and records management manuals, secure physical storage, strengthen administrative support for the division in charge, ensure the legitimate status of the person in charge of processing and records management in the division in charge, and enhance the recognition of records management by the person in charge and manager.