• Title/Summary/Keyword: Vision System

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A Study on the Tottori Prefectural Archives, Japan (일본 돗토리현 아카이브 연구)

  • Yi, Kyoung Yong
    • The Korean Journal of Archival Studies
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    • no.69
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    • pp.129-152
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    • 2021
  • With the enactment and enforcement of the 「Public Records and Archives Act」, the Tottori Prefectural Archives newly enacted the "Records Management Ordinance" through a comprehensive review of the previous archive function. In accordance with this ordinance, which came into effect in April 2012, Tottori Prefecture expanded the records management institutions (Public Security Committee and Police Headquarters, etc.) A series of archive systems were improved, such as the expansion and reinforcement of the authority to appraisal and select. In addition, the Tottori Prefectural Archives went further and implemented the "Ordinance on the Preservation of Historical Documents, etc." from April 2017. Through this, the municipalities unit basic local government's record management support work was set as a unique function of the local archive, and a linkage and cooperation system was established for the preservation of private records of the prefecture area as well as the basic local area together with cultural heritage institutions such as museums and libraries. As a reference case that continuously guarantees the performance of various activities based on the mission and vision of the local archives in Korea that aim for 'autonomy of records' on the poor archival culture soil, it is worth paying attention to the case of continuous record management reform of the Tottori Prefectural Archives through the enactment of the original role and function of the archive.

The Critical Vision and Memory of the Absurd World (뒤틀린 세상에 대한 기억과 비판적 전망)

  • Yoo, Wang-Moo
    • Iberoamérica
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    • v.22 no.2
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    • pp.25-57
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    • 2020
  • Eduardo Galeano is a left-wing intellectual who led the criticism and accusations of dictatorship and social absurdity in Latin America. It digs into the truth of hidden history that has not been revealed in official history. He values the memory of history to stop repetition of the unfortunate history of the past. The main research topic of this study, 『The Book of Embraces』, is also an extension of such work. Most of the stories in this work depend on the writer's memory. There is no coherence or integration in the content of the story, and the length of the text is not constant, so it is extremely informal and fragmented. This is a strategy to formally reveal the illogical and irrational reality of Latin America. He analyzes the problems of the separation system prevalent in Latin American society from various perspectives. It separates me and the others as well as the past and the present. It makes the memory of history void and paralyzes the consciousness of history. These systems are fixed for convenient governance. In this situation, the pattern of violence becomes more explicit and broad. The anxiety and fear of the Latin American public become commonplace. It is a reality of enduring daily life without hope. Galeano finds this enduring force in historical memory. He believes that when the past and the present meet and embrace, a new history of the future can be encountered. Galeano does not just criticize reality or cynical attitude but also suggests hope for the future.

Improving the 2022 Revised Science Curriculum: Elementary School "Earth and Universe" Units (2022 개정 과학과 교육과정 개선 방향 고찰 - 초등학교 '지구와 우주' 영역을 중심으로 -)

  • Yu, Eun-Jeong;Park, Jae Yong;Lee, Hyundong
    • Journal of Korean Elementary Science Education
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    • v.41 no.2
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    • pp.173-185
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    • 2022
  • The purpose of this study is to present a reflective review of the earth and universe units from the revised elementary curriculum of 2007-2015 and suggest changes in the 2022 revised curriculum. For this purpose, we conducted an FGI with earth science educators and elementary school teachers regarding the content elements and system, the achievement standards and inquiry activity composition, and the vertical and horizontal curriculum connectivity. Free response and weighted hierarchical analysis items were incorporated into the FGI to ensure logical consistency of the inductively derived improvement. This analysis revealed that the composition of units by grade group had been unevenly distributed among each of the "earth systems" until the 2015 revised curriculum was finalized. Furthermore, the basic concept was still insufficient. We suggest that achievement standards centered on the learning content and skills must state specific scientific core competencies, and inquiry activities should include rigorous critical thinking, student written responses, and student inquiry and analysis. In the hierarchical analysis items, FGI emphasized the inclusion of essential content elements rather than reduction of content elements, understanding-oriented concept learning rather than interest-centered phenomenon learning, basic concept division learning before integration between subjects, and expanding vertical-horizontal connectivity rather than repeating and advancing learning. There is a limit to the generalizing the suggestions proposed in this study to the common opinion of elementary earth science experts. However, since the main vision of the 2022 revised curriculum is to gather opinions through educational entities' participation in a variety of educational subjects, it is suggested that our results should be incorporated as one of the opinions proposed for the 2022 curriculum revision.

Training of a Siamese Network to Build a Tracker without Using Tracking Labels (샴 네트워크를 사용하여 추적 레이블을 사용하지 않는 다중 객체 검출 및 추적기 학습에 관한 연구)

  • Kang, Jungyu;Song, Yoo-Seung;Min, Kyoung-Wook;Choi, Jeong Dan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.274-286
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    • 2022
  • Multi-object tracking has been studied for a long time under computer vision and plays a critical role in applications such as autonomous driving and driving assistance. Multi-object tracking techniques generally consist of a detector that detects objects and a tracker that tracks the detected objects. Various publicly available datasets allow us to train a detector model without much effort. However, there are relatively few publicly available datasets for training a tracker model, and configuring own tracker datasets takes a long time compared to configuring detector datasets. Hence, the detector is often developed separately with a tracker module. However, the separated tracker should be adjusted whenever the former detector model is changed. This study proposes a system that can train a model that performs detection and tracking simultaneously using only the detector training datasets. In particular, a Siam network with augmentation is used to compose the detector and tracker. Experiments are conducted on public datasets to verify that the proposed algorithm can formulate a real-time multi-object tracker comparable to the state-of-the-art tracker models.

Organizational-Economic Mechanism of Providing Sustainability of the Region's Development Based on the Impact of the Potential-Forming Space in the Conditions of the Creative Economy Formation

  • Khanin, Semen;Derhaliuk, Marta;Arefieva, Olena;Murashko, Mykola;Nusinova, Olena
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.348-356
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    • 2022
  • The article is devoted to substantiation of theoretical and methodical bases of formation of the organizational-economic mechanism of maintenance of stability of development of region on the bases of influence of potential-forming space in the conditions of formation of creative economy. It was found that the organizational-economic mechanism due to its multifaceted nature does not have a single generally accepted definition, and its acceptable scale and complexity is reflected in the structure, which is very dependent on the scope and conditions of its application, can be very different and contain different elements. In view of this, in order to highlight the characteristics that are inherent in the organizational-economic mechanism of sustainable development of the region on the basis of potential-forming space in the formation of creative economy, the article examines the properties and characteristics of direct organizational and economic mechanism. The necessity of basing the process of formation of any organizational-economic mechanism, including the organizational-economic mechanism of ensuring the sustainability of the region on the basis of the potential-forming space in the conditions of creative economy on the system of principles. In this context, the author's vision is proposed and a set of principles for the formation of organizational-economic mechanism for sustainable development of the region on the basis of the potential of the potential-forming space in the creative economy, as well as revealed the essence of each. According to the structural aspect, the organizational-economic mechanism of ensuring the sustainability of the region's development on the basis of the potential-forming space is proposed to be presented as a set of seven stages, which are implemented in a certain sequence. Within the limits of this research the sequence of realization of the stages making process of formation of the organizational-economic mechanism of maintenance of stability of development of region on the basis of influence of potential-forming space in the conditions of formation of creative economy is defined and their maintenance and essence is presented.

A Study on the Sensibility Analysis of School Life and the Will to Farming of Students at Korea National College of Agricultural and Fisheries (한국농수산대학 재학생의 학교생활 감성 분석 및 영농의지에 관한 연구)

  • Joo, J.S.;Lee, S.Y.;Kim, J.S.;Shin, Y.K.;Park, N.B.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.21 no.2
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    • pp.103-114
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    • 2019
  • In this study we examined the preferences of college life factors for students at Korea National College of Agriculture and Fisheries(KNCAF). Analytical techniques of unstructured data used opinion mining and text mining techniques, and the results of text mining were visualized as word cloud. And those results were used for statistical analysis of the students' willingness to farm after graduation. The items of the favorable survey consisted of 10 items in 5 areas including university image, self-capacity, dormitory, education system, and future vision. After classifying the emotions of positive and negative in the collected questionnaire, a dictionary of positive and negative was created to evaluate the preference. The items of 'college image' at the time of university support, 'self after 10 years' after graduation, 'self-capacity' and 'present KNCAF' showed high positive emotion. On the other hand, positive emotion was low in the items of 'college dormitory', 'educational course', 'long-term field practice' and 'future of Korean agriculture'. In the cross-analysis of the difference in the will to farming according to gender, farming base, and entrance motivation, the will to farm according to gender and entrance motivation showed statistically significant results, but it was not significant in farming base. Also in binary logistic regression analysis on the will to farming, the statistically significant variable was found to be 'motivation for admission'

Detection of video editing points using facial keypoints (얼굴 특징점을 활용한 영상 편집점 탐지)

  • Joshep Na;Jinho Kim;Jonghyuk Park
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.15-30
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    • 2023
  • Recently, various services using artificial intelligence(AI) are emerging in the media field as well However, most of the video editing, which involves finding an editing point and attaching the video, is carried out in a passive manner, requiring a lot of time and human resources. Therefore, this study proposes a methodology that can detect the edit points of video according to whether person in video are spoken by using Video Swin Transformer. First, facial keypoints are detected through face alignment. To this end, the proposed structure first detects facial keypoints through face alignment. Through this process, the temporal and spatial changes of the face are reflected from the input video data. And, through the Video Swin Transformer-based model proposed in this study, the behavior of the person in the video is classified. Specifically, after combining the feature map generated through Video Swin Transformer from video data and the facial keypoints detected through Face Alignment, utterance is classified through convolution layers. In conclusion, the performance of the image editing point detection model using facial keypoints proposed in this paper improved from 87.46% to 89.17% compared to the model without facial keypoints.

Water Quality Modeling using Drone and Spatial Information Technology (드론 공간정보기술을 활용한 수질 모델링)

  • Young-Joo Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.4
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    • pp.236-241
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    • 2023
  • Water quality problems in rivers, lakes, and estuaries have become serious in Korea. In order to overcome eutrophication of freshwater lakes and river basins, systematic management of water quality is necessary. To manage water quality in freshwater lakes and basins, apply hydrological models suitable for the basin and water quality models such as rivers and lakes to reduce water pollution based on the prediction results of these models. Improvement measures must be presented. In order to apply appropriate water pollution improvement measures in the watershed, accurate pollution sources must be identified and pollution loads must be predicted and presented. Based on GIS, the connection between the pollutant database and the hydrological and water quality prediction model will be integrated based on spatial location, making it possible to provide systematic support to improve watershed water quality by comprehensively including the water quality modeling process. In this paper, in order to accurately predict water pollution in freshwater lakes and river basins, a water quality model system is established using GIS-based spatial information to present a comprehensive water quality management method for freshwater lake basins in the future, and to systematically manage pollution sources through water quality modeling. This study was conducted to easily and efficiently operate hydrological and water quality models using automated spatial information.

Human Existence as a Hybrid Assemblage: the Possibilities and Limits of Intersectionality (하이브리드 집합체로서의 인간존재: 교차의 가능성과 한계)

  • Shon, HyangKoo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.509-516
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    • 2024
  • We rethink human existence as a assemblage through intersectionality by comparing autopoiesis and sympoiesis systems with reference to science fiction protagonists such as Ghost in the Shell, Neuralink, Camille, a genetic hybrid, and San Ti against the background of neo-materialism. Our findings reveal that, first, radical sympoiesis is characterized by the dissolution of individuals and boundaries, and attempt to explain existence solely through heterogeneous linkage and fusion; second, by ignoring the capacity for autonomous thinking at the individual level, they are unable to fully recognize the destructive nature of hybrid co-production or to develop practical responses to it. Third, we suggest that if the very survival of humanity is threatened by heterogeneous linkage, we should pay more attention to our identity as autonomous members of a autopoietic system rather than to heterogeneous sympoietic networks and we should also pay attention to the role of individual units in stabilizing self-regulation. Through this study, we aimed to contribute to overcoming the limitations of neo-materialism by arguing that it is likely to fail to provide an adequate practical vision if it is limited to describing the hybrid connections that recur through the intersection of beings, and by urging us to define the identity of the human species from a new perspective by utilizing various SF stories that trigger the imagination of destructive interactions between beings, and to explore the autopoiesis in terms of symbiotic interactions based on a certain level of boundary and self-regulation.

Application of Geo-Segment Anything Model (SAM) Scheme to Water Body Segmentation: An Experiment Study Using CAS500-1 Images (수체 추출을 위한 Geo-SAM 기법의 응용: 국토위성영상 적용 실험)

  • Hayoung Lee;Kwangseob Kim;Kiwon Lee
    • Korean Journal of Remote Sensing
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    • v.40 no.4
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    • pp.343-350
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    • 2024
  • Since the release of Meta's Segment Anything Model (SAM), a large-scale vision transformer generation model with rapid image segmentation capabilities, several studies have been conducted to apply this technology in various fields. In this study, we aimed to investigate the applicability of SAM for water bodies detection and extraction using the QGIS Geo-SAM plugin, which enables the use of SAM with satellite imagery. The experimental data consisted of Compact Advanced Satellite 500 (CAS500)-1 images. The results obtained by applying SAM to these data were compared with manually digitized water objects, Open Street Map (OSM), and water body data from the National Geographic Information Institute (NGII)-based hydrological digital map. The mean Intersection over Union (mIoU) calculated for all features extracted using SAM and these three-comparison data were 0.7490, 0.5905, and 0.4921, respectively. For features commonly appeared or extracted in all datasets, the results were 0.9189, 0.8779, and 0.7715, respectively. Based on analysis of the spatial consistency between SAM results and other comparison data, SAM showed limitations in detecting small-scale or poorly defined streams but provided meaningful segmentation results for water body classification.