• Title/Summary/Keyword: 수단적

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Effective Control Strategy against Bacterial Blight on Carrot (당근 세균잎마름병에 대한 효과적 방제 수단)

  • Hyun Su Kang;Mi-Jin Kim;Yong Ho Shin;Yong Chull Jeun
    • Research in Plant Disease
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    • v.29 no.4
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    • pp.405-413
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    • 2023
  • Bacterial blight of carrot caused by Xanthomonas hortorum pv. carotae (Xhc) is one of the serious diseases of carrot, of which control measures has not been still established in the domestic farm. In this study, in order to select effective sterilizer for bacterial blight of carrots, three antibiotics such as streptomycin, oxolinic acid, kasugamycin, two copper compounds like copper hydroxide and copper sulfate basic and three rhizobacteria Burkholderia gladioli MRL408-3, Pseudomonas fluorescens TRH415-2 and Bacillus cereus KRY505-3 were selected to investigate their direct antibacterial effects using artificial media, aiming to identify effective pesticides against Xhc. Among them, treated medium with antibiotics such as streptomycin, oxolinic acid, and the antagonistic rhizobacteria MRL408-3 were formed inhibition zone. The agrochemicals and the rhizobacteria MRL408-3, which showed antibacterial effects on carrot leaves, pre-treated on the carrot leaves and then inoculated with Xhc. High control effects were shown on the carrot leaves pre-treated with both streptomycin and oxolinic acid. Scanning electron microscopy images of the carrot leaf surfaces showed that the population of bacteria decreased significantly on leaves pre-treated with streptomycin and oxolinic acid. From these results, it can be inferred that antibiotics like streptomycin and oxolinic acid exhibit superior control effects compared to other agents. This study provides valuable insights towards establishing an effective control system for bacterial blight of carrot.

Deep Learning-based UWB Distance Measurement for Wireless Power Transfer of Autonomous Vehicles in Indoor Environment (실내환경에서의 자율주행차 무선 전력 전송을 위한 딥러닝 기반 UWB 거리 측정)

  • Hye-Jung Kim;Yong-ju Park;Seung-Jae Han
    • KIPS Transactions on Computer and Communication Systems
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    • v.13 no.1
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    • pp.21-30
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    • 2024
  • As the self-driving car market continues to grow, the need for charging infrastructure is growing. However, in the case of a wireless charging system, stability issues are being raised because it requires a large amount of power compared with conventional wired charging. SAE J2954 is a standard for building autonomous vehicle wireless charging infrastructure, and the standard defines a communication method between a vehicle and a power transmission system. SAE J2954 recommends using physical media such as Wi-Fi, Bluetooth, and UWB as a wireless charging communication method for autonomous vehicles to enable communication between the vehicle and the charging pad. In particular, UWB is a suitable solution for indoor and outdoor charging environments because it exhibits robust communication capabilities in indoor environments and is not sensitive to interference. In this standard, the process for building a wireless power transmission system is divided into several stages from the start to the completion of charging. In this study, UWB technology is used as a means of fine alignment, a process in the wireless power transmission system. To determine the applicability to an actual autonomous vehicle wireless power transmission system, experiments were conducted based on distance, and the distance information was collected from UWB. To improve the accuracy of the distance data obtained from UWB, we propose a Single Model and Multi Model that apply machine learning and deep learning techniques to the collected data through a three-step preprocessing process.

Development of Trip Generation Models for Shared E-Scooter by Service Areas Clustered by Level of Trip Density (서비스 구역 수준별 공유 전동킥보드 통행발생모형 개발)

  • Tai-jin Song;Kyuhyuk Kim;Changhun Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.124-140
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    • 2023
  • The rapid growth in shared E-scooters worldwide has led to many studies on the topic. The results of these studies are still in the early stages, and the main factors affecting trips are being identified. In particular, the development of trip-generation models is very important for transportation planning, and a new transportation mode for developing the models for shared E-scooters is lacking both domestically and internationally. This study aims to develop a trip generation model for shared E-scooters using significant variables by thoroughly reviewing previous studies. The trip characteristics of major service areas and other areas may differ owing to the trip characteristics of the mode. The trip generation models were developed based on the service trip density by dividing the areas by service level. The factors affecting shared E-scooter trips in major service areas included the presence of universities, closeness centrality, and cultural areas, while factors affecting the trips in minor service areas included the presence of universities, betweenness centrality, and trip distance. The developed models provide basic information that can be used to establish transport policies for introducing shared E-scooters in cities in the future.

Analysis and implications of North Korea's new strategic drones 'Satbyol-4', 'Satbyol-9' (북한의 신형 전략 무인기 '샛별-4형', '샛별-9형' 분석과 시사점)

  • Kang-Il Seo;Jong-Hoon Kim;Man-Hee Won;Dong-Min Lee;Jae-Hyung Bae;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.167-172
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    • 2024
  • In major wars of the 21st century, drones are expanding beyond surveillance and reconnaissance to include land and air as well as sea and underwater for purposes such as precision strikes, suicide attacks, and cognitive warfare. These drones will perform multi-domain operations, and to this end, they will continue to develop by improving the level of autonomy and strengthening scalability based on the High-Low Mix concept. Recently, drones have been used as a major means in major wars around the world, and there seems to be a good chance that they will evolve into game changers in the future. North Korea has also been making significant efforts to operate reconnaissance and attack drones for a long time. North Korea has recently continued to engage in provocations using drones, and its capabilities are gradually becoming more sophisticated. In addition, with the recent emergence of new strategic Drones, wartime and peacetime threats such as North Korea's use of these to secure surveillance, reconnaissance and early warning capabilities against South Korea and new types of provocations are expected to be strengthened. Through this study, we hope to provide implications by analyzing the capabilities of North Korea's strategic Drones, predicting their operation patterns, and conducting active follow-up research on the establishment of a comprehensive strategy, such as our military's drone deployment and counter-drone system solutions.

A Study on the Improvement of Entity-Based 3D Artwork Data Modeling for Digital Twin Exhibition Content Development (디지털트윈 전시형 콘텐츠 개발을 위한 엔티티 기반 3차원 예술작품 데이터모델링 개선방안 연구)

  • So Jin Kim;Chan Hui Kim;An Na Kim;Hyun Jung Park
    • Smart Media Journal
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    • v.13 no.1
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    • pp.86-100
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    • 2024
  • Recently, a number of virtual reality exhibition-type content services have been produced using archive resources of visual art records as a means of promoting cultural policy-based public companies. However, it is by no means easy to accumulate 3D works of art as data. Looking at the current state of metadata in public institutions, there was no digitalization of resources when developing digital twins because it was built based on old international standards. It was found that data modeling evolution is inevitable to connect multidimensional data at a capacity and speed that exceeds the functions of existing systems. Therefore, the elements and concepts of data modeling design were first considered among previous studies. When developing virtual reality content, when it is designed for the migration of 3D modeling data, the previously created metadata was analyzed to improve the upper elements that must be added to 3D modeling. Furthermore, this study demonstrated the possibility by directly implementing the process of using newly created metadata in virtual reality content in accordance with the data modeling process. If this study is gradually developed in the future, metadata-based data modeling can become more meaningful in the use of public data than it is today.

Enhancing Throughput and Reducing Network Load in Central Bank Digital Currency Systems using Reinforcement Learning (강화학습 기반의 CBDC 처리량 및 네트워크 부하 문제 해결 기술)

  • Yeon Joo Lee;Hobin Jang;Sujung Jo;GyeHyun Jang;Geontae Noh;Ik Rae Jeong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.1
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    • pp.129-141
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    • 2024
  • Amidst the acceleration of digital transformation across various sectors, the financial market is increasingly focusing on the development of digital and electronic payment methods, including currency. Among these, Central Bank Digital Currencies (CBDC) are emerging as future digital currencies that could replace physical cash. They are stable, not subject to value fluctuation, and can be exchanged one-to-one with existing physical currencies. Recently, both domestic and international efforts are underway in researching and developing CBDCs. However, current CBDC systems face scalability issues such as delays in processing large transactions, response times, and network congestion. To build a universal CBDC system, it is crucial to resolve these scalability issues, including the low throughput and network overload problems inherent in existing blockchain technologies. Therefore, this study proposes a solution based on reinforcement learning for handling large-scale data in a CBDC environment, aiming to improve throughput and reduce network congestion. The proposed technology can increase throughput by more than 64 times and reduce network congestion by over 20% compared to existing systems.

A Study on the Relationship between User Discomfort in Digital-Based Transportation Services and Mobility: The Role of Technological Proficiency as a Moderator (디지털 기반 교통서비스 이용 불편함 경험과 이동성과의 관계 연구: 기술 활용 능력의 조절 효과를 중심으로)

  • Ah-hae Cho;Jihun Seo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.3
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    • pp.67-79
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    • 2024
  • These instructions give you guidelines for preparing papers for JDCS. Recently, the use of digital devices like kiosks and smartphones has expanded, leading to the active provision of digital-based services in the transportation sector, such as choosing transportation modes and checking routes. This study analyzes the relationship between user discomfort when using digital transportation services and mobility. It also examines the moderating effect of technological proficiency on this relationship. The study found that 16.4% of participants experienced discomfort, with an average mobility score of 48.4 points and a technological proficiency score of 3.78 points. Discomfort with digital transportation services was positively correlated with mobility. Additionally, technological proficiency positively influenced mobility. This study analyzes and presents the impact of technology utilization ability on mobility. These findings can be used as basic data for making policy on the need to revitalize the use of digital-based transportation service and bridge the digital divide.

Implementing a Virtual Reality Forest Healing System Using Multisensory Modules (다감각 모듈을 사용한 가상현실 산림 치유 시스템 구현)

  • Sohui Kim;Jewon Myung;YoungBeom Park;Sun-Jeong Kim
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.4
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    • pp.31-39
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    • 2024
  • This study applied virtual reality systems for forest therapy to reduce motion sickness and enhance immersion using multi-sensory elements. In applying virtual reality systems, multi-sensory elements were utilized to reduce motion sickness while providing a more immersive experience. Among these elements, tactile and olfactory devices utilizing wind and scent were developed and employed. The program was developed using Unity3D's HDRP (High Definition Render Pipeline), and both HMD (Head Mounted Display) and non-HMD systems were established to determine if visual motion induces motion sickness. An air circulator was placed to provide a sense of wind and allow users to smell scents through the olfactory device. An experiment was designed to examine whether tactile and olfactory stimuli influence user satisfaction with the virtual reality forest therapy system. The results showed that the tactile device significantly reduced motion sickness, while the developed olfactory device did not yield significant results in reducing motion sickness for participants.

A Case Study on Exploring Service Examples of Domestic and International Art Content Platform (국내외 아트 콘텐츠 플랫폼의 서비스 사례 고찰)

  • Jun Hee Park;Seung In Kim
    • Industry Promotion Research
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    • v.9 no.3
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    • pp.147-154
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    • 2024
  • Since the COVID-19 pandemic, art content platforms have evolved into content venues for the holistic experience of art, which is distinct from offline experiences, and possesses unique characteristics that are no longer just auxiliary means of information delivery. The purpose of this study is to explore the direction of platform development for art content in order to revitalize art experiences in the era of the Fourth Industrial Revolution by analyzing functional utility cases of art content platform services both domestically and abroad. To achieve this, factors for analyzing the functional utility of art content platforms were extracted through literature research. Then, the functions and services of domestic and foreign art content platforms were categorized into three groups, and based on the analysis factors of 'interaction', 'reliability', 'convenience', and 'diversity' extracted from the literature, the development direction of art content platforms was examined through a service and function analysis. The significance of this study is that it analyzed the overall user experience online and the development direction of art content platforms through functional utility analysis. Through this, it aims to provide implications by analyzing the various utilization possibilities of art content platforms and the perspective of users who experience art in the media environment.

Development and Application of a Scenario Analysis System for CBRN Hazard Prediction (화생방 오염확산 시나리오 분석 시스템 구축 및 활용)

  • Byungheon Lee;Jiyun Seo;Hyunwoo Nam
    • Journal of the Korea Society for Simulation
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    • v.33 no.3
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    • pp.13-26
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    • 2024
  • The CBRN(Chemical, Biological, Radiological, and Nuclear) hazard prediction model is a system that supports commanders in making better decisions by creating contamination distribution and damage prediction areas based on the weapons used, terrain, and weather information in the events of biochemical and radiological accidents. NBC_RAMS(Nuclear, Biological and Chemical Reporting And Modeling S/W System) developed by ADD (Agency for Defense Development) is used not only supporting for decision making plan for various military operations and exercises but also for post analyzing CBRN related events. With the NBC_RAMS's core engine, we introduced a CBR hazard assessment scenario analysis system that can generate contaminant distribution prediction results reflecting various CBR scenarios, and described how to apply it in specific purposes in terms of input information, meteorological data, land data with land coverage and DEM, and building data with pologon form. As a practical use case, a technology development case is addressed that tracks the origin location of contaminant source with artificial intelligence and a technology that selects the optimal location of a CBR detection sensor with score data by analyzing large amounts of data generated using the CBRN scenario analysis system. Through this system, it is possible to generate AI-specialized CBRN related to training and analysis data and support planning of operation and exercise by predicting battle field.