• Title/Summary/Keyword: Automatic Convergence Study

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A Comparative Study on Surrogate Models and Sensitivity Analysis for Structure Design of Automatic Salt Collector Using Orthogonal Array Experiment (직교배열실험을 이용한 자동채염기 구조설계의 민감도해석과 대리모델 비교 연구)

  • Song, Chang Yong;Lee, Dong-Jun
    • Journal of Convergence for Information Technology
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    • v.10 no.7
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    • pp.138-146
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    • 2020
  • The paper deals with comparative study of characteristics of surrogate models and sensitivity evaluation using design of experiments in order to enhance and analysis the structure design of an automatic salt collector under various design load conditions. Orthogonal array design based on numerical analysis was used for the design of experiments. The thickness sizing variables of main structure member were considered the design factors, and the output responses were selected from the strength performances as well as the weight. The quantitative effects on responses for each design factor were evaluated from the orthogonal array experiment. Optimum design case was also identified to improve the strength performances with weight minimization. Using the orthogonal array experiment. various surrogate models such as response surface model, Kriging model, and Chebyshev orthogonal polynomial were generated. The orthogonal array experiment results were validated by the surrogate modeling results. The most suitable surrogate model was the response surface model for the exploration of design space of the automatic salt collector.

A Study of Computer-aided Detection System for Dental Cavity on Digital X-ray Image (디지털 X선 영상을 이용한 치아 와동 컴퓨터 보조 검출 시스템 연구)

  • Heo, Chang-hoe;Kim, Min-jeong;Cho, Hyun-chong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.8
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    • pp.1424-1429
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    • 2016
  • Segmentation is one of the first steps in most diagnosis systems for characterization of dental caries in an early stage. The purpose of automatic dental cavity detection system is helping dentist to make more precise diagnosis. We proposed the semi-automatic method for the segmentation of dental caries on digital x-ray images. Based on a manually and roughly selected ROI (Region of Interest), it calculated the contour for the dental cavity. A snake algorithm which is one of active contour models repetitively refined the initial contour and self-examination and correction on the segmentation result. Seven phantom tooth from incisor to molar were made for the evaluation of the developed algorithm. They contained a different form of cavities and each phantom tooth has two dental cavities. From 14 dental cavities, twelve cavities were accurately detected including small cavities. And two cavities were segmented partly. It demonstrates the practical feasibility of the dental lesion detection using Computer-aided Detection (CADe).

A Study on the Development of an Elevator Rope Tension Automatic Equalizer (엘리베이터 로프장력 자동조절기 개발에 관한 연구)

  • Kim, Dong-Bok;Kim, Gab-Soon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.5
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    • pp.60-66
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    • 2020
  • In this paper, we describe a rope tension automatic equalizer that automatically adjusts several rope tensions connecting the elevator car and the counterweight. The automatic rope tension equalizer is composed of a body, ram, and rope shaft. The body includes a cylinder hole, in which a ram is assembled. A rope shaft is assembled in a hole in the ram. Moreover, the rope is fixed to the rope shaft, with a hole through which fluid can pass between each cylinder hole and the hole of the body. The central concept is that the force of each rope is evenly distributed by the hydraulic pressure between the ram and the body cylinder when the rope is pulled. The thickness of the jaw connecting the small and large diameters of the body of the rope tension automatic equalizer was 15 mm based on structural analysis. The results of the representative experiment to install the produced rope tension equalizer on the elevator revealed it was possible to reduce the rope tension deviation by more than 71 kg.

A Study on Methodology of Media Contents Automatically Collect and Transform based IP (IP 기반 미디어 콘텐츠 자동 수집 및 변환 기법 연구)

  • Kim, Sang-Soo;Park, Koo-Rack;Kim, Dong-Hyun
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.287-295
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    • 2015
  • The IPTV service has to be converted into an unified media format that fits for a variety of terminal equipments in terms of the bulk high-capacity media contents, and is spending a lot of time in the conversion time of contents including the process of collecting the media contents and extracting the information for conversion. In order to solve the problem, this paper designed the database in accordance with the automatic collection of time, and proposed a system that could increase the productivity of the contents through the automation process of the entire process using the media server and the transcoder. The media server collected contents and extracted information automatically with respect to the contents servers placed in specific locations and the media files of the storage whereas the transcoder conducted the automatic upload of the converted results to a specific server through the process of automatic conversion. As a result, the various convergence through compared to existing conversion method could minimized unnecessary waste of time.

A Study on the Safety Design Rule Checking System for Automatic Verification of Design Errors (설계오류 자동 검증을 위한 안전 설계 Rule Checking 체계에 관한 연구)

  • Dukhan Kim;Yuho Yang;Youngwoo Chon
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.60-68
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    • 2024
  • Purpose: When designing plants and workplaces such as handling and using chemicals, a system that can automatically determine whether the design has been made in compliance with domestic safety management laws is established to shorten the review time and increase accuracy. Method: Safety design standards for chemical handling and use workplaces were investigated, and types and systems were derived that could automatically judge design errors by dividing the articles into semantic units. Result: An automatic design review method performed when designing a building was proposed, and a system that can review the safety design requirements required when designing a chemical handling business site through the development of a rule checker was proposed. After confirming whether the law is subject to application, the safety design rules are classified into semantic units through preprocessing. The classified results can be classified into four types, and the specifications, space, conditions, situations, and specific devices and facilities to reinforce safety were analyzed as representative types. It proposes a system that prepares a diagram for the safety design rule and allows it to be reviewed through the rule checker program.

A Study on New PV Tracking System Including Load Dispersion

  • Lee, Sang-Hun;Song, Hyun-Jig;Park, Chan-Gyu;Song, Sung-Geon
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.4
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    • pp.472-480
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    • 2014
  • The In solar power system, the height and azimuth of the sun are important parameters which control generated power magnitude. The tracking method that controls the daily generation magnitude according to latitude and longitude using the two axles is often used in the existing sunlight tracking system today. In this two-axle PV track control system, the self-load is concentrated on one FRAME. It is influenced of the regular load, snow load and the wind load, etc. It is difficult to set up the system in the conventional building. This research is a development about the small-scale economy track device of independent load-dispersing solar generation system. The position tracking algorithm is through new coordinates transformation calculating the height and azimuth of the sun.

Automatic Contrast Enhancement by Transfer Function Modification

  • Bae, Tae Wuk;Ahn, Sang Ho;Altunbasak, Yucel
    • ETRI Journal
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    • v.39 no.1
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    • pp.76-86
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    • 2017
  • In this study, we propose an automatic contrast enhancement method based on transfer function modification (TFM) by histogram equalization. Previous histogram-based global contrast enhancement techniques employ histogram modification, whereas we propose a direct TFM technique that considers the mean brightness of an image during contrast enhancement. The mean point shifting method using a transfer function is proposed to preserve the mean brightness of an image. In addition, the linearization of transfer function technique, which has a histogram flattening effect, is designed to reduce visual artifacts. An attenuation factor is automatically determined using the maximum value of the probability density function in an image to control its rate of contrast. A new quantitative measurement method called sparsity of a histogram is proposed to obtain a better objective comparison relative to previous global contrast enhancement methods. According to our experimental results, we demonstrated the performance of our proposed method based on generalized measures and the newly proposed measurement.

Automatic Feeding Bottle Washing Machine Usability Evaluation : Infant Product (자동 젖병 세척기 사용성평가 : 영유아 제품)

  • Park, Hye Jin;Kim, Jong Geun;Lee, Seok Jae
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.507-514
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    • 2022
  • This study is to compare and analyze the evaluation of cleaning cleanliness and usability according to the muscle activity and cleaning method in the wrist rotation motion when using a bottle washer for women with childbirth experience. To this end, when using an automatic bottle washer and a manual bottle washer, the muscle activity and cleaning cleanliness of the forearm muscles were quantitatively evaluated using equipment, and the effects of variables were analyzed and the following conclusions were obtained. First, it was found that the muscle activity was lower than that of the automatic baby bottle cleaner when using a manual bottle cleaner. Second, the cleanliness was judged to be the best in automatic washing (forward + reverse direction), followed by automatic washing (forward direction) and manual washing. Third, the usability evaluation of the use of the baby bottle washing machine showed higher satisfaction than that of the automatic baby bottle washing machine. Through these conclusions, this study can be used as basic data for product advancement in the future by proving the effectiveness of using an automatic bottle washer.

Effects of Class Design using Automatic Recording System on Program Outcomes of Pediatric Nursing (강의자동녹화시스템을 사용한 수업설계가 아동간호학 학습성과에 미치는 영향)

  • Ahn, Sung-Yun
    • Journal of Industrial Convergence
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    • v.17 no.1
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    • pp.17-24
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    • 2019
  • The purpose of this study is to confirm the effects of the contents of the recording lectures through the automatic recording system of the nursing students on the program outcomes of the pediatric nursing. The study was designed using a nonequivalent control group pretest-posttest design. the subject of this study consisted of 104 nursing students(the experimental group of 52 and the control group of 52). Data were analyzed by ${\chi}^2$ test and independent t-test using SPSS 22.0. The effect of the first program outcome(PO1. We can integrate nursing skills based on various the liberal arts and the major knowledge into practice) of the experimental group was not confirmed, but the fifth program outcome(PO5. We can apply critical thinking based nursing processes and implement clinical inferences) was significantly higher than that of the control group. It is significant that this study presented the data to develop the class design method to improve the program outcomes of the nursing student at the present time which is operating the program outcomes based curriculum for nurse with core competency.

Implementation of a Machine Learning-based Recommender System for Preventing the University Students' Dropout (대학생 중도탈락 예방을 위한 기계 학습 기반 추천 시스템 구현 방안)

  • Jeong, Do-Heon
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.37-43
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    • 2021
  • This study proposed an effective automatic classification technique to identify dropout patterns of university students, and based on this, an intelligent recommender system to prevent dropouts. To this end, 1) a data processing method to improve the performance of machine learning was proposed based on actual enrollment/dropout data of university students, and 2) performance comparison experiments were conducted using five types of machine learning algorithms. 3) As a result of the experiment, the proposed method showed superior performance in all algorithms compared to the baseline method. The precision rate of discrimination of enrolled students was measured to be up to 95.6% when using a Random Forest(RF), and the recall rate of dropout students was measured to be up to 80.0% when using Naive Bayes(NB). 4) Finally, based on the experimental results, a method for using a counseling recommender system to give priority to students who are likely to drop out was suggested. It was confirmed that reasonable decision-making can be conducted through convergence research that utilizes technologies in the IT field to solve the educational issues, and we plan to apply various artificial intelligence technologies through continuous research in the future.