• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.589-591
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• 2021

In the offshore plant industry, the Access service basket for aerial work is used of for various business purposes. However, various types of safety accidents continue to occur in operating these system. In the case of high-capacity workstations currently in use, workers are exposed to various risks in determining and operating the load capacity, proximity distance, and direction of operation. In this paper, to solve this problem, we develop a device that incorporates IoT-based monitoring and crash alarm systems into aerial work systems. The developed device was tested in the presence of experts to ensure reliability of the device, which allows workers and managers to easily check the operation status and thereby prevent safety accidents in advance.

• Convergence Security Journal
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• v.22 no.3
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• pp.33-39
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• 2022

Recently, cyberattacks on infrastructure have been continuously occurring with the starting of neutralizing the user authentication function of information systems. Accordingly, the vulnerabilities of system are increasing day by day, such as the increase in the vulnerabilities of the encryption system. In this paper, an alternative technique for the symmetric key algorithm has been developed in order to build the encryption algorithm that is not easy for beginners to understand and apply. Vigenere Cipher is a method of encrypting alphabetic text and it uses a simple form of polyalphabetic substitution. The encryption application system proposed in this study uses the simple form of polyalphabetic substitution method to present an application model that integrates the three steps of encryption table creation, encryption and decryption as a framework. The encryption of the original text is done using the Vigenère square or Vigenère table. When applying to the automatic generation of secret keys on the information system this model is expected that integrated authentication work, and analysis will be possible on target system. ubstitution alphabets[3].

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.122-122
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• 2022

기후변화 대응 및 탄소 저감 노력의 일환으로 신재생에너지의 개발 및 활용이 전 세계적으로 활발하며, 우리나라에서도 2050년 탄소중립 달성을 위하여 친환경 에너지 시스템 구축에 많은 노력을 기울이고 있다. 전통적인 재생에너지인 수력은 발전의 효율성, 안정성과 발전 제어의 용이함 때문에 널리 사용되고 있으나, 경제성을 확보하기 위한 댐, 보의 설치 및 대규모 발전설비가 필요하여, 생태계, 환경 파괴 등의 문제점 등을 수반하여, 최근 들어 대규모 사업이 이루어지지 못하고 있다. 이러한 흐름에 따라 최근에는 유럽을 중심으로 친환경 소수력 발전으로 회전 나선형 아르키메데스 수차를 활용한 소수력 발전의 적용이 이루어지고 있으며, 특히 2000년대 이후 독일을 중심으로 활발히 개발되고 있다. 또한 휴대용 초소수력 발전은 새로운 산업분야로 민간용 초소수력 발전기의 개발 및 판매가 국내외에서 증가하고 있으며, 우리나라에서도 자연 하천 환경에 활용 가능한 초소수력 발전의 필요성이 꾸준히 제기되고 있다. 본 연구에서는 저유량 및 저낙차에 적용 가능한 '초소형 회전 나선형 아르키메데스 수차', 초소형 발전에 적합한 '발전기 및 발전시스템', 자연환경을 훼손하지 않는 친환경 '유도수로'로 구성되어, 원하는 하천이나 수로 등에 손쉽게 설치 가능한 초소형 소수력 발전시스템을 개발하였다. 회전 나선형 아르키메데스 수차는 3D프린터로 제작한 후, 강화 코팅제를 도포하여 내구성을 확보하였다. 상용 AC발전기, 소형 발전기용 '발전기 및 발전시스템'을 적용하고, 콘트롤 보드를 맞춤형으로 제작하여 경제성을 확보하였다. 이러한 발전 시스템은 개발 테스트 중에 있으며 향후 방류수로, 하수구 등 현장 적용을 준비 중에 있다.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.552-559
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• 2023

The purpose of this study is to evaluate the crack reduction performance of blast furnace slag concrete mixed with expansive and swelling admixtures. As a basic performance test, various ingredients such as blast furnace slag fine powder (BFS), calcium sulfoaluminate (CSA), bentonite, and hydroxypropyl methyl cellulose (HPMC) were used, and the results showed that bentonite showed superior performance compared to HPMC. Afterwards, a MOCK-UP test was conducted to evaluate cracking and drying shrinkage according to the mixing ratio. As a result, when bentonite and a small amount of calcium phosphate were added, drying shrinkage was reduced and cracking was reduced. In particular, a cement mixture consisting of 30 % BFS, 1 % bentonite, and 1 % calcium phosphate showed optimal crack-free performance. It is believed that BFS concrete will contribute to compensating for shrinkage through continuous expansion activity and can be used for field applications.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.1-12
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• 2024

Predicting path loss is one of the important factors for wireless network design, such as selecting the installation location of base stations in cellular networks. In the past, path loss values were measured through numerous field tests to determine the optimal installation location of the base station, which has the disadvantage of taking a lot of time to measure. To solve this problem, in this study, we propose a path loss prediction method based on machine learning (ML). In particular, an ensemble learning approach is applied to improve the path loss prediction performance. Bootstrap dataset was utilized to obtain models with different hyperparameter configurations, and the final model was built by ensembling these models. We evaluated and compared the performance of the proposed ensemble-based path loss prediction method with various ML-based methods using publicly available path loss datasets. The experimental results show that the proposed method outperforms the existing methods and can predict the path loss values accurately.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.4
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• pp.537-544
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• 2021

In order to describe the fill-up stages of a near-surface disposal facility vault, a mock-up test is performed, and its behavior during the fil l -up stages is investigated. On an in-site concrete foundation with a l ength of 6600mm, a width of 6600mm and a thickness of 400mm, a reinforced concrete disposal vaul t is manufactured with 4 precast (PC) corner wal l s and 8 PC side wal l s. 36 wasted drums are pl aced on the 1st fl oor in 6 by 6, and then the empty space is fil l ed with grout fil l er. These processes are repeated up to the 5th floor, and the verticality and the joint gaps are measured for each fill-up stage. The verticality is measured using a level at 6 positions on each side wall (3 positions on the left and right sides, respectivel y), i.e. a total of 24 positions on the 4 side wal l s. The joint gaps are measured at 9 positions on each side wal l (3 positions on the left, center and right sides, respectively), I.e. a total 36 positions on the 4 side walls. To measure the joint gaps, crack tips are installed on the left and right sides of every joint gap, and vernier calipers are used. The measured verticality obtained through the mock-up test was found to be ±0.1° based on the initial stage (ST0), and the result of the joint gap was up to 0.38mm. This appears to have a negligible effect on the structure.

• Journal of Soil and Groundwater Environment
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• v.10 no.4
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• pp.45-53
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• 2005

The objective of this study is to evaluate the effects of changes in soil temperature on biodegradation rate of diesel compounds from a field pilot test using hot air injection process. Total remediation time was estimated from in-situ biodegradation rate and temperature for optimum biodegradation. All tests were conducted by measuring in-situ respiration rates every about 10 days on highly contaminated area where an accidental diesel release occurred. The applied remediation methods were hot air injection/extraction process to volatilize and extract diesel compounds followed by a bioremediation process to degrade residual diesels in soils. Oxygen consumption rate varied from 2.2 to 46.3%/day in the range of 26 to $60^{\circ}C$, and maximum $O_2$ consumption rate was observed at $32.0^{\circ}C$. Zero-order biodegradation rate estimated on the basis of oxygen consumption rates varied from 6.5 to 21.3 mg/kg-day, and the maximum biodegradation rate was observed at $32^{\circ}C$ as well. In other temperature range, the values were in the decreasing trend. The first-order kinetic constants (k) estimated from in-situ respiration rates measured periodically were 0.0027, 0.0013, and $0.0006d^{-1}$ at 32.8, 41.1, and $52.7^{\circ}C$, respectively. The estimated remediation time was from 2 to 9 years, provided that final TPH concentration in soils was set to 870 mg/kg.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1353-1369
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• 2023

In the event of a disaster accident at sea, the scale of damage will vary due to weather effects such as wind, currents, and tidal waves, and it is obligatory to minimize the scale of damage by establishing appropriate control plans through quick on-site identification. In particular, it is difficult to identify pollutants that exist in a thin film at sea surface due to their relatively low viscosity and surface tension among pollutants discharged into the sea. Therefore, this study aims to develop an algorithm to detect suspended pollutants on the sea surface in RGB images using imaging equipment that can be easily used in the field, and to evaluate the performance of the algorithm using input data obtained from actual waters. The developed algorithm uses image enhancement techniques to improve the contrast between the intensity values of pollutants and general sea surfaces, and through histogram analysis, the background threshold is found,suspended solids other than pollutants are removed, and finally pollutants are classified. In this study, a real sea test using substitute materials was performed to evaluate the performance of the developed algorithm, and most of the suspended marine pollutants were detected, but the false detection area occurred in places with strong waves. However, the detection results are about three times better than the detection method using a single threshold in the existing algorithm. Through the results of this R&D, it is expected to be useful for on-site control response activities by detecting suspended marine pollutants that were difficult to identify with the naked eye at existing sites.

• Journal of Korean Home Economics Education Association
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• v.28 no.1
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• pp.19-39
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• 2016

The purpose of this study was to develop the safety theme-based integrated teaching learning process plans for the middle school Home Economics(HE) Instruction and ultimately to contribute for the middle school students to live their safe lives. To achieve the goals of this study, HE curriculum documents from the 1st to the 2015 revision were analyzed and a survey was conducted to identify the middle school students' current status of safety accidents and needs on the HE safety education. The respondents of the survey were the 512 students of one ${\bigcirc}{\bigcirc}$ Girls' Middle School in Busan. And then, the seven integrated themes were selected, each seven integrated theme-networks were formed, and safety theme-based Home Economics curriculum and learning materials were developed. The results of this study were as the follows. The safety education content has continually been included from the first HE curriculum of 1954 to the 2015 revised HE curriculum. The middle school student respondents highly needed the content of 'the methods to deal with sexual violence and prostitution prevention', 'suicide prevention', and 'bullying net' for the HE safety education. All the 42 items were needed for the HE safety education by the respondents. The safety theme-based HE teaching learning process plans developed finally included the seven integrated themes, which were (1) dietary life safety, (2) adolescents' sex and safety, (3) adolescents' relationships with friends and safety, (4) family life and safety, (5) dwelling life and safety, (6) adolescents' egos and safety, and (7) social environment and safety. Each integrated theme consisted of three to six small themes, which amounted to total 28(for 35 lessons). Each small theme was presented with learning objectives and particular goals. The total 157 learning materials including the Home Economics curriculum were developed, which offered learning objectives and content for each safety theme, total 28 teaching and learning plans(for 35 lessons) were developed, which offered specific instructions for the easy implementation of the curriculum in the classroom, 28 PPTs, 25 film materials, four reading materials, 61 workbooks, 14 activity sheets, 16 evaluation sheets, 3 test sheets, 2 reference materials, and 4 learning material models(the refrigerator model, traffic lights for discussions, food tray model and stickers, and food mileage card). In this study, the safety education themes of 'clothing life and safety', 'conflict and safety', 'professional life and safety', and 'consumer and safety' were not addressed because these theme were not needed highly by the respondents. Therefore, for the further development of the teaching learning process plans for the HE safety education, it is necessary to develop and evaluate the teaching learning process plans to address the themes of 'clothing life and safety', 'conflict and safety', 'professional life and safety', and 'consumer and safety'.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.321-335
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• 2021

Particulate matter (PM10 and PM2.5 with a diameter less than 10 and 2.5 ㎛, respectively) can be absorbed by the human body and adversely affect human health. Although most of the PM monitoring are based on ground-based observations, they are limited to point-based measurement sites, which leads to uncertainty in PM estimation for regions without observation sites. It is possible to overcome their spatial limitation by using satellite data. In this study, we developed machine learning-based retrieval algorithm for ground-level PM10 and PM2.5 concentrations using aerosol parameters from Geostationary Ocean Color Imager (GOCI) satellite and various meteorological parameters from a numerical weather prediction model during January to December of 2019. Gradient Boosted Regression Trees (GBRT) and Light Gradient Boosting Machine (LightGBM) were used to estimate PM concentrations. The model performances were examined for two types of feature sets-all input parameters (Feature set 1) and a subset of input parameters without meteorological and land-cover parameters (Feature set 2). Both models showed higher accuracy (about 10 % higher in R2) by using the Feature set 1 than the Feature set 2. The GBRT model using Feature set 1 was chosen as the final model for further analysis(PM10: R2 = 0.82, nRMSE = 34.9 %, PM2.5: R2 = 0.75, nRMSE = 35.6 %). The spatial distribution of the seasonal and annual-averaged PM concentrations was similar with in-situ observations, except for the northeastern part of China with bright surface reflectance. Their spatial distribution and seasonal changes were well matched with in-situ measurements.