• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.108-108
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• 2019

낙동강에는 2010-2012년 4대강 사업 완료 후 8개의 다기능 보가 설치되었다. 보 설치로 인해 물의 체류시간이 증가하고 보 상류에는 정체수역이 광범위하게 형성되었다. 이후 지속된 가뭄과 여름철 고온현상이 겹치면서 남조류의 과잉성장(녹조현상)이 빈번히 발생하여 수생태계 건강성에 문제를 초래하는 등 사회적 이슈로 자리잡게 되었다. 조류의 과잉성장을 해결하기 위해 정부에서는 총인(TP) 방류수 수질기준 강화, 펄스형 방류기법 운영 등 대책을 추진하였으며, 녹조 우심지역을 선정하고 지역 특성에 맞는 대응방안을 수립하여 추진하고 있으나, 그 효과가 국부적이고 일시적이어서 근원적 대책 마련이 필요한 실정이다. 일반적으로 남조류의 과잉성장에 영향을 미치는 요소는 높은 영양염류(질소, 인)와 유기물 농도, 고온과 안정적인 성층강도, 그리고 남조류의 생리적 특성 등으로 매우 다양하기 때문에 정확한 발생 원인의 분석이 어려운 경우가 많다. 그러나, 보에 의해 흐름이 조절되는 하천에서는 유량, 유속 및 수온성층 등이 남조류 성장과 천이특성에 가장 민감한 영향을 미친다. 선행 연구사례에서는 유량과 남조류 생체량이 서로 반비례 관계를 가진다는 점과 상 하층간의 온도차(수온성층)가 남조류 우점과 밀접한 관련이 있다는 것을 보였다(Sherman et al. 1998). 따라서 최근 국내에서도 보의 관리수위를 낮추어 유속을 증가시키고 체류시간을 감소시켜 녹조문제를 완화하려는 노력이 추진 중이다. 하지만 하천의 수질은 물리적, 화학적, 생물학적 요인들의 복잡한 상호작용의 결과이므로, 단기간의 측정 결과로 보 수위 저하의 효과를 평가하는데 어려움이 있다. 따라서 이를 과학적으로 평가하기 위해서 수리 수질 생태의 연동해석이 가능한 수치모델을 활용할 필요가 있다. 수치모델은 매개변수를 충분히 보정한다면, 다른 모든 요인은 동일한 조건에서 보 수위 저하만의 영향을 예측하는데 활용가능하다. 본 연구의 목적은 낙동강 수계 중류에 위치한 칠곡보-강정고령보 구간을 대상으로 3차원 수리 수질모델인 EFDC를 구축하고, 실측 자료를 이용하여 모델을 보정한 후 보 관리수위의 저하운영 시나리오에 따른 수질과 남조류의 시 공간적 변동 특성을 분석하는데 있다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.815-824
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• 2019

It is not easy to present a generalized operating model because the operating environment of a sport event is composed of a complex matrix structure. In this study, we propose 'standardization' which provides guidance of concept and process of sport event management to solve this sports event management problem. To purpose complete of this study, the frame was developed by the international standard ISO 9001: 2015 is applied. The standards framework for sports event process management system structure proposed in this study consists of scope of application, citing standard, Terms and definitions, organizational situation, leadership, planning, support, operation, performance evaluation, and improvement. This sport event process management system standard can be applied to any organization that wants to host, prepare, and operate sport events regardless of the form or scale of the sport event. In addition, this standard was focused on process management of life-cycle stages of sporting events, therefor it was possible to manage interrelationships and dependencies between processes and processes.

• Korean Journal of Family Social Work
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• no.57
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• pp.183-215
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• 2017

This study analyzes Korean childcare policy from a caring democracy perspective by using the normative policy analysis method. In the midst of emergent new social risks engendered by low fertility and aging population, feminist scholars proposed a transformative paradigm shift from economic growth to caring oriented development on a macro scale but researches on how this grand principle can be reflected into each policy have hardly been discussed. Thus, this study intends to contribute to such policy-driven discussion by analysing childcare policy on the basis of three normative values of freedom, equality and justice re-interpreted by caring democracy theory. Following are key findings. First, childcare policy does not guarantee public value and social solidarity due to the limitations of free choice from the perspective of freedom. Secondly, gender and class stratification has been worsened in a multiple and more complicated way by adding generational and racial dimensions to the existing gender inequality and vicious circulation of private care is observed from equality perspective. Thirdly, structural inequality aggravated injustice previously accumulated in the past rather than providing flat ground by adjustment.

• Smart Media Journal
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• v.10 no.2
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• pp.110-118
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• 2021

The Internet of Things (IoT) technology, a key growth engine of the 4th industrial revolution, has grown to a stage where it can autonomously communicate with each other and process data according to space and circumstances. Accordingly, the IT infrastructure becomes increasingly complex and the importance of the monitoring field for maintaining the system stably is increasing. Monitoring technology has been used in the past, but there is a need to find a flexible monitoring system that can respond to the rapidly changing ICT technology. This paper conducts research on designing and testing an open source-based Prometheus monitoring system. We builds a simple infrastructure based on IoT devices and collects data about devices through the Exporter. Prometheus collects data based on pull and then integrates into one dashboard using Grafana and visualizes data to monitor device information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1060-1066
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• 2021

Recently, researches for quantum computers have been carried out in various fields. Quantum computers performs calculations by utilizing various phenomena and characteristics of quantum mechanics such as quantum entanglement and quantum superposition, thus it is a very complex calculation process compared to classical computers used in the past. In order to simulate a quantum computer, many factors and parameters of a quantum computer need to be analyzed, for example, error verification, optimization, and reliability verification. Therefore, it is necessary to visualize circuits that can intuitively simulate the configuration of the quantum computer components. In this paper, we present a novel visualization method for designing complex quantum computer system, and attempt to create a 3D visualization toolkit to deploy large circuits, provide help a new way to design large-scale quantum computing systems that can be built into future computing systems.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.8-14
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• 2023

The majority of IoT devices already employ AIoT, however there are still numerous issues that need to be resolved before AI applications can be deployed. In order to more effectively distribute IoT edge resources, this paper propose a machine learning-based approach to managing IoT edge resources. The suggested method constantly improves the allocation of IoT resources by identifying IoT edge resource trends using machine learning. IoT resources that have been optimized make use of machine learning convolution to reliably sustain IoT edge resources that are always changing. By storing each machine learning-based IoT edge resource as a hash value alongside the resource of the previous pattern, the suggested approach effectively verifies the resource as an attack pattern in a distributed AIoT context. Experimental results evaluate energy efficiency in three different test scenarios to verify the integrity of IoT Edge resources to see if they work well in complex environments with heterogeneous computational hardware.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.12-12
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• 2023

지하수자원 관리의 정량적 및 정성적 측면에 있어, 최첨단 인공지능 언어 모델인 ChatGPT의 혁신적인 기능이 활용될 수 있다. 본 발표에서는 지하수 자료에 대한 분석과 도출된 문제의 중요도에 따른 목표를 설정, 그리고 지하수 관리 전략 개발에 있어서의 ChatGPT 활용 방법을 논의할 것이다. 이를 위한 구체적 사례로, 지하수자원 관리에 활용될 수 있는 다양한 도구들의 개발과 고도화에 ChatGPT가 기여하는 방식을 살펴볼 것이다. 이러한 개별 도구들은 지하수자원 관리 결정에 있어 더 나은 예측 및 평가를 제공하여, 지하수 자원 관리의 효율성을 도모할 수 있다. 또한, ChatGPT의 문제 발견 및 해결책 제안 능력에 대해서도 다룰 것이다. 이를 통해 지하수 관리에 있어서의 다양한 문제를 식별하고, 이해당사자들이 보다 효과적으로 대응할 수 있는 방안을 찾아낼 수 있을 것이다. 또한 ChatGPT가 제공하는 다양한 정보 및 문제에 대한 솔루션 접근 방식을 활용한 브레인스토밍 방법을 설명할 것이다. 추가적으로, 일반 인공지능(AGI)의 개발에 근접하면서 지하수 관리의 자동화 및 가속화 그리고 산업 및 환경에 미칠 수 있는 영향에 대해 고찰해 볼 것이다. 이를 위하여, ChatGPT와 같은 인공지능 기술이 더욱 고도화되고 향상되면서, 지하수 관리 및 관련 분야에서의 의사결정, 계획 수립, 그리고 모니터링과 같은 작업들이 어떻게 변화할지에 대하여 토의할 것이다. 본 발표는 지하수 자원 관리 분야에서 ChatGPT와 같은 인공지능 기반 접근법의 가치를 보여주며, 복잡한 지하수 환경 문제를 해결하는 데 있어 첨단 기술의 활용 가능성을 강조할 것이다. 또한, AGI가 등장할 때까지 여전히 요구되는 지하수 분야 도메인 지식과 전문기술의 중요성을 강조할 것이다. 지하수 관리자들의 도메인 지식과 전문적 기술은 인공지능 기반 도구와 결합되어 보다 정확한 분석, 예측 및 해결책 도출을 가속화하며 정교화할 것이다. 결론적으로, 지하수 관리에 대한 종합적인 이해와 전문성을 갖춘 전문가들의 인공지능 기술활용은 지속가능한 지하수의 첨단 관리 효과적 달성에 중요한 계기가 될 것으로 판단한다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.25-32
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• 2018

Recently, the complexity of underground utilities has increased and it has became more difficult to identify and manage information about all underground utilities due to changes such as road extension or building relocation. As a result, number of accidents related to underground utilities caused by excavation works or disasters are in rise, and naturally damages as well are increasing due to the accidents. Therefore, there is a need for a management system capable of easily registering or retrieving information of underground utilities from a remote place. In our previous work, we have developed a utility labelling system based on NFC (Near Field Communication) tag and a utility management system based on IoT (Internet of Things). However, in general, there are diverse communication devices and protocols in IoT environment. Therefore, in this paper, we propose management system and IoT gateway that enables smooth communication even in different types of devices based on the previous our work.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.693-700
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• 2017

The mines in our country are complex in geography and shape and because of its small scale, accurate surveying performance and 3D modeling are necessary for mine development and management and mining plans. However, due to the data acquisition and processing technology and economy, the existing methods are currently used. The structure, mining, and mining area of the mine are recorded and managed based on the 2D drawings. As a result, it is true that there is risk of accidents caused by problems of accuracy as well as waste of personnel and time. In recent years, research data on geology and geospatial information on mines have been integrated into a database in foreign countries, and they are used for mine management and mining planning. In this study, we tried to construct spatial information for mining management and mining plan using laser scanner. Through research, spatial information about the mine was effectively obtained and produced data modeled through data processing. The 3D model for mining mines is expected to be a valuable tool for establishing and operating a safe mining plan for mines.

• Journal of Korea Entertainment Industry Association
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• v.5 no.1
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• pp.127-133
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• 2011

Characters in natural image are an important information with various context. Previous work of character region detection algorithms is not detect of character region in case of image complexity and the surrounding lighting, similar background to character, so this paper propose an method of character region detection in natural image using edge and connected component by morphological reconstructions. Firstly, we detect edge using Canny-edge detector and connected component with local min/max value by morphological reconstructed-operation in gray-scale image, and labeling each of detected connected component elements. lastly, detected candidate of text regions was merged for generation for one candidate text region, Final text region detected by checking the similarity and adjacency of neighbor of text candidate individual character. As the results of experiments, proposed algorithm improved the correctness of character regions detection using edge and connected components.