• Title/Summary/Keyword: Operation process

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Comparison of Prediction Accuracy Between Classification and Convolution Algorithm in Fault Diagnosis of Rotatory Machines at Varying Speed (회전수가 변하는 기기의 고장진단에 있어서 특성 기반 분류와 합성곱 기반 알고리즘의 예측 정확도 비교)

  • Moon, Ki-Yeong;Kim, Hyung-Jin;Hwang, Se-Yun;Lee, Jang Hyun
    • Journal of Navigation and Port Research
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    • v.46 no.3
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    • pp.280-288
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    • 2022
  • This study examined the diagnostics of abnormalities and faults of equipment, whose rotational speed changes even during regular operation. The purpose of this study was to suggest a procedure that can properly apply machine learning to the time series data, comprising non-stationary characteristics as the rotational speed changes. Anomaly and fault diagnosis was performed using machine learning: k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), and Random Forest. To compare the diagnostic accuracy, an autoencoder was used for anomaly detection and a convolution based Conv1D was additionally used for fault diagnosis. Feature vectors comprising statistical and frequency attributes were extracted, and normalization & dimensional reduction were applied to the extracted feature vectors. Changes in the diagnostic accuracy of machine learning according to feature selection, normalization, and dimensional reduction are explained. The hyperparameter optimization process and the layered structure are also described for each algorithm. Finally, results show that machine learning can accurately diagnose the failure of a variable-rotation machine under the appropriate feature treatment, although the convolution algorithms have been widely applied to the considered problem.

Evaluation of Compaction Impact According to Compaction Roller Operating Conditions through CMV Analysis (CMV 분석을 통한 다짐롤러 운용 조건에 따른 다짐 영향 평가)

  • Kim, Jinyoung;Baek, Sungha;Kim, Namgyu;Choi, Changho;Kim, Jisun;Cho, Jinwoo
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.8
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    • pp.11-16
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    • 2022
  • The compaction process using vibrating rollers in road construction is essential to increase soil stiffness in earthworks. Currently, there is no clear standard for the operation method of the compaction roller during compaction. Although simple quality inspection techniques have been developed, plate load test (PLT) and field density test (FDT) are the most frequently used test methods to evaluate the degree of compaction during road construction as the most frequently used quality inspection methods. However, both inspection methods are inefficient because they cannot perform quality inspection in all sections due to time and cost reasons. In this study, we analyzed how the operating conditions of vibrating rollers affect the compaction quality. An intelligent quality management system, which is a currently developed and commercialized technology, was used to obtain quality inspection results in all sections. As a result of the test, it was analyzed that the speed and vibration direction of the compaction roller had an effect on the compaction degree, and it was found that the compaction direction had no effect on the compaction degree.

Comparative Analysis and Implications of Lifelong Education Policy in Korea and Germany - Focusing on Historical Transition - (한국과 독일의 평생교육정책에 대한 비교분석 및 시사점 - 역사적 변천과정을 중심으로 -)

  • Lee, Myung-Sim
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.3
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    • pp.117-132
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    • 2020
  • The purpose of this study is to examine the lifelong education policy in Korea and Germany, focusing on the historical transition process, and to explore desirable ways to develop the lifelong education policy in Korea. To this end, We compared and analyzed Korea and Germany's lifelong education policy using research papers on lifelong education and practical data published by BMBF, DIE, DVV, EAEA, UIL, and NILE. As a result of the study, German lifelong education policy has improved social and vocational professionalism running programs suitable for the characteristic of region, Korean lifelong education policy lacks civic education in terms of local lifelong education due to political sensitivity. In addition, Germany is expanding the participation rate of lifelong education by constructing an environment where it is easy to participate in lifelong education, while Korea's participation rate in lifelong education is lower than that of advanced OECD countries. At last, the German lifelong education policy pursues a natural change in the needs of the society, the ideological principle of which require education be independent. On the other hand, the study confirms that Korean lifelong education policy tends to be controlled by the central government. As a result of this study, Germany's lifelong education policy provide the following implications for Korea's lifelong education policy. First, This dissertation emphasizes the need for the learner-centered operation as the needs of educational consumers become more diverse. Secondly, It highlights the need for activation of lifelong education in career education. Third, The expansion of the lifelong education budget to support good quality lifelong learning. Fourth, Holistic and long-term system for sustainable lifelong learning society needs to be structured.

Verification of Entertainment Utilization of UAS FC Data Using Machine Learning (머신러닝 기법을 이용한 무인항공기의 FC 데이터의 엔터테인먼트 드론 활용 검증)

  • Lee, Jae-Yong;Lee, Kwang-Jae
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.349-357
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    • 2021
  • Recently, drones are rapidly becoming common and expanding. There is a great need for diversity in whether drone flight data can be used as entertainment technology analysis data. In particular, it is necessary to check whether it is possible to analyze and utilize the flight and operation process of entertainment drones, which are developing through autonomous and intelligent methods, through data analysis and machine learning. In this paper, it was confirmed whether it can be used as a machine learning technology by using FC data in the evaluation of drones for entertainment. As a result, FC data from DJI and Parrot such as Mavic2 and Anafi were unable to analyze machine learning for entertainment. It is because data is collected at intervals of 0.1 second or more, so that it is impossible to find correlation with other data with GCS. On the other hand, it was found that machine learning technologies can be applied in the case of Fixhawk, which used an ARM processor and operates with the Nuttx OS. In the future, it is necessary to develop technologies capable of analyzing the characteristics of entertainment by dividing fixed-wing and rotary-wing flight information. For this, a model shoud be developed, and systematic big data collection and research should be conducted.

Development of High-Sensitivity and Entry-Level Nuclide Analysis Module (고감도 보급형 핵종 분석 모듈 개발)

  • Oh, Seung-Jin;Lee, Joo-Hyun;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.515-519
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    • 2022
  • In this paper, we propose the development of a high-sensitivity entry-level nuclide analysis module. The proposed measurement sensor module consists of an electronic driving circuit for nuclide analysis resolution, prototype production with nuclide analysis function, and GUI development applied to prototypes. The electronic part driving circuit for nuclide analysis resolution is divided into nuclide analysis resolution process by the electronic part driving circuit block diagram, MCU circuit design used for radiation measurement, and PC program design for Spectrum acquisition. Prototyping with nuclide analysis function is made by adding a 128×128 pixel OLED display, three buttons for operation, a Li-ion battery, and a USB-C type port for charging the battery. The GUI development department applied to the prototype develops the screen composition such as the current time, elapsed measurement time, total count, and nuclide Spectrum. To evaluate the performance of the proposed measurement sensor module, an expert witness test was conducted. As a result of the test, it was confirmed that the calculated result by applying the resolution formula to the Spectrum (FWHM@662keV) obtained using the Cs-137 standard source in the nuclide analysis device had a resolution of 17.77%. Therefore, it was confirmed that the nuclide analysis resolution method proposed in this paper produces improved performance while being cheaper than the existing commercial nuclide analysis module.

A Study on the Determinants Affecting Global Tramper Companies' Bunkering Port Selection Using AHP Method (AHP를 활용한 부정기선사의 벙커링 항만 선정요인에 대한 연구)

  • Ahn, Ji Young;Ryu, Hee Chan;Lee, Choong-bae
    • Journal of Korea Port Economic Association
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    • v.38 no.3
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    • pp.15-28
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    • 2022
  • Bunkering refers to the supply of bunker fuel necessary for the ship operation, as well as minimizing the price and supply cost of fuel itself, and includes supplying good quality fuel oil in a timely manner and at the optimal port. Bunkering is an important criterion in terms of cost for shipping companies because bunkering involves a significant cost to the purchaser of bunkering from the time of initial purchase. This study aims to prioritize selection criteria for tramper companies to call port for bunkering. For this study, the variables were selected by analyzing the common criteria such as price, location, bunker quality and service and infrastructure etc. employed in previous studies. The AHP method was employed to prioritize the criteria in order. As a result of the analysis, the high level factors appeared in the order of price, location, bunkering quality and port service and infrastructure factors. The importance of price criterion and location criterion was found to be high. In the low level criterion of price, the bunker price per MT was ranked first in importance. In terms of location criteria, the location on the main trade route was high. In the low criteria of bunker quality and port service, the bunkering available types and bunker quality were found to be important factors, and in the low level criteria of infrastructure, anchorage and availability of bunkering during loading and discharging and port security factors were found to be important criteria. This study provides the guidelines for research designed to compare the bunkering port selection factors and to derive their importance suggesting the ways to enhance competitiveness as a bunkering port.

A Study on the use Case Analysis of Broadcasting CG and the role of Graphic Designer (방송CG 활용 사례 분석과 그래픽디자이너의 역할에 관한 연구)

  • Cho, Poong-Yeon
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.728-737
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    • 2021
  • In the meantime, broadcasting CG has gone through the process of dismantling, changing, and distorting, while broadcasting CG in broadcasting programs utilizes the expanded background of 'temporality' and 'formality'. This is to create an audiovisual language that appeals to human synesthesia by expressing the meaning to be conveyed in three dimensions. Broadcast CG goes beyond simple instructional and informational broadcast graphic operation, and increases the pure aesthetic value and sensibility of the video considering readability and formativeness, and through this, the audiovisual information perfection of the broadcast program is derived and acts as a very important factor. Therefore, this paper examines the results of broadcast CG production and utilization methods at existing local broadcasters, and identifies the limitations of local broadcasters' CG production and utilization through case analysis for each broadcast program type. We want to derive a model that is a compromise line. In addition, I would like to suggest a plan that can be applied more actively and practically to local broadcasting programs. In order to solve this problem, this study first examines "Analysis of cases of use of broadcasting CG production in broadcasting programs" and then "more efficient broadcasting CG production techniques by identifying problems in broadcasting CG production methods and utilization of local broadcasters" and how to actively use it". In addition, the results of this study are expected to contribute to the establishment of a new role and practical broadcast CG production model for broadcast graphic designers in charge of broadcast CG production and the technical perspective of broadcast program production by local broadcasters.

The Prediction of Durability Performance for Chloride Ingress in Fly Ash Concrete by Artificial Neural Network Algorithm (인공 신경망 알고리즘을 활용한 플라이애시 콘크리트의 염해 내구성능 예측)

  • Kwon, Seung-Jun;Yoon, Yong-Sik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.5
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    • pp.127-134
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    • 2022
  • In this study, RCPTs (Rapid Chloride Penetration Test) were performed for fly ash concrete with curing age of 4 ~ 6 years. The concrete mixtures were prepared with 3 levels of water to binder ratio (0.37, 0.42, and 0.47) and 2 levels of substitution ratio of fly ash (0 and 30%), and the improved passed charges of chloride ion behavior were quantitatively analyzed. Additionally, the results were trained through the univariate time series models consisted of GRU (Gated Recurrent Unit) algorithm and those from the models were evaluated. As the result of the RCPT, fly ash concrete showed the reduced passed charges with period and an more improved resistance to chloride penetration than OPC concrete. At the final evaluation period (6 years), fly ash concrete showed 'Very low' grade in all W/B (water to binder) ratio, however OPC concrete showed 'Moderate' grade in the condition with the highest W/B ratio (0.47). The adopted algorithm of GRU for this study can analyze time series data and has the advantage like operation efficiency. The deep learning model with 4 hidden layers was designed, and it provided a reasonable prediction results of passed charge. The deep learning model from this study has a limitation of single consideration of a univariate time series characteristic, but it is in the developing process of providing various characteristics of concrete like strength and diffusion coefficient through additional studies.

Development of High-Sensitivity and Entry-Level Radiation Measuring Sensor Module (고감도 보급형 방사선 측정센서 모듈 개발)

  • Oh, Seung-Jin;Lee, Joo-Hyun;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.510-514
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    • 2022
  • In this paper, we propose the development of high-sensitivity low-end radiation measuring sensor module. The proposed measurement sensor module is a scintillator + photomultiplier(SiPM) sensor optimization structure design, amplification and filter and control circuit design for sensor driver, control circuit design including short-distance communication, sensor mechanism design and manufacturing, and GUI development applied to prototypes consists of, etc. The scintillator + photomultiplier(SiPM) sensor optimization structure design is designed by checking the characteristics of the scintillator and the photomultiplier (SiPM) for the sensor structure design. Amplification, filter and control circuit design for sensor driver is designed to process fine scintillation signal generated by radiation with a scintillator using SiPM. Control circuit design including short-distance communication is designed to enable data transmission through MCU design to support short-range wireless communication function and wired communication support. The sensor mechanism design and manufacture is designed so that the glare generated by wrapping a reflective paper (mirroring) on the outside of the plastic scintillator is reflected to increase the efficiency in order to transmit the fine scintillation signal generated from the plastic scintillator to the photomultiplier(SiPM). The GUI development applied to the prototype expresses the date and time at the top according to each screen and allows the measurement unit and time, seconds, alarm level, communication status, battery capacity, etc. to be expressed. In order to evaluate the performance of the proposed system, the results of experiments conducted by an authorized testing institute showed that the radiation dose measurement range was 30 𝜇Sv/h ~ 10 mSv/h, so the results are the same as the highest level among products sold commercially at domestic and foreign. In addition, it was confirmed that the measurement uncertainty of ±7.4% was measured, and normal operation was performed under the international standard ±15%.

A Study on the Improvement Plan of a Virtual Training Content Supply Institution (가상훈련 콘텐츠 보급기관 개선방안에 관한 연구)

  • Yang, Mi-seok
    • Journal of Practical Engineering Education
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    • v.13 no.3
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    • pp.453-460
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    • 2021
  • The purpose of this study is to understand the educational types and educational status of institutions that operate virtual training contents distributed by K University's Online Lifelong Education Center and to examine the role and improvement measures of institutions that supply virtual training contents. To this end, a survey was conducted on 56 institutions that operate virtual training contents distributed by K University's Online Lifelong Education Center in 2020, and a survey of 44 institutions that responded finally was analyzed. The analysis results are as follows. First, virtual training education media responded that a total of 52 courses were applied to the content process using PC, the theory+virtual training type is the most, and one to two weeks of practice period were the most. In addition, when looking at the current status of education, the subjects of virtual training were mainly students, and the institution itself recruited, and the largest number of respondents was 1-20, the number of courses opened was 1-3, and the number of teachers and instructors in charge was 1-3. Second, they responded that it is necessary to develop various virtual training contents as a virtual training content supply institution, present ways to apply and utilize virtual training curriculum, and improve the quality of virtual training content. Third, as an improvement plan for virtual training content distribution institutions, it demanded strengthening the linkage of virtual training content, training using virtual training content by teachers and instructors, suggesting various virtual training content linkage, and strengthening virtual training content quality management. Therefore, this study is meaningful in that it identified the overall operation status and status of virtual training content management institutions and examined ways to establish and improve the role of public virtual training supply institutions.