• Title/Summary/Keyword: 최적효율

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Site Suitability Assessment Using the Habitat Suitability Index for Oyster (Crassostrea gigas) in Jaran Bay, Korea (서식지 적합 지수를 이용한 자란만 굴(Crassostrea gigas)의 어장적지평가)

  • Yong-Hyeon Choi;Sok Jin Hong;Dae In Lee;Won Chan Lee;Seung Ryul Zeon;Yoon-Sik Cho
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.427-434
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    • 2023
  • Oysters are an important organism, accounting for an average of 76% of shellfish aquaculture production. In this study, optimal habitat was searched for by calculating the Habitat Suitability Index (HSI) using water temperature, salinity, hydrodynamics, DO, SS and Chl.a in Jaran Bay. As a result, the inside of Jaran Bay was found to be a more suitable habitat than the outside with a wide entrance and rapid hydrodynamics. Oyster production and HSI showed a significant correlation (0.710, p<0.05). Hydrodynamics helps the growth of aquaculture organisms, such as food supply through seawater exchange in the bay, which showed a high correlation (0.709, p<0.05) with oyster production. It was found to have a greater effect on habitat suitability than Chl.a. The results of this study are expected to be helpful for the efficient conservation, use and management of coastal fisheries.

A Focus Group Interview(FGI) on Experience During Clinical Fieldwork of Students in Occupational Therapy (작업치료과 학생들의 임상실습 경험에 대한 포커스그룹 인터뷰)

  • Kang, Jin-Ho;Nam, Young-Ok;Oh, Myung-Hwa
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.4
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    • pp.299-309
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    • 2019
  • The purpose of this study was to investigate about student's experiences in occupational therapy through clinical fieldwork, such as the change in perception of occupational therapy, the stress that students experience, and the satisfaction of clinical fieldwork. We conducted a focus group interview with 10 participants to see what they experienced during the clinical fieldwork. The contents of the interview were recorded and conducted, and the meaning was analyzed according to the focus group interview procedure through repeated listening. Components were psychological experience, professional experience, environmental experience, changes of values, and behavioral changes. In psychological experience, he experienced anxiety and burden. Experiential experience was the connection of theory and clinical experience and realization of major knowledge. In the environmental experience, we experienced clinical guidance management system, and the change of values experienced change of perception of occupational therapy and change of perception of disabled person. Finally, behavioral changes have experienced an active response through clinical practice experience. Clinical fieldwork is a basic element that prepares students to become occupational therapists. It affects the role of occupational therapist and perception performance through various experiences in new environment. It is thought that the efforts of the institution are needed. The results of this study will help occupational therapists to direct clinical fieldwork in the right direction in clinical fieldwork.

Implementation of AI-based Object Recognition Model for Improving Driving Safety of Electric Mobility Aids (전동 이동 보조기기 주행 안전성 향상을 위한 AI기반 객체 인식 모델의 구현)

  • Je-Seung Woo;Sun-Gi Hong;Jun-Mo Park
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.3
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    • pp.166-172
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    • 2022
  • In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

Process Control and Dynamic Optimization of Bio-based 2,3-butanediol Distillation Column (바이오 기반 2,3-butanediol 증류 공정의 제어 및 동적 최적화)

  • Giyeol Lee;Nahyeon An;Jongkoo Lim;Insu Han;Hyungtae Cho;Junghwan Kim
    • Korean Chemical Engineering Research
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    • v.61 no.2
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    • pp.217-225
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    • 2023
  • 2,3-Butanediol (2,3-BDO), which is used in various fields such as cosmetics and fertilizers, is a high value-added substance and the demand for it is gradually increasing. 2,3-BDO produced from the fermentation of microorganisms not only contains by-products of fermentation, but also varies greatly in feed composition depending on fermentation conditions, so it is difficult to efficiently operate the separation process to reach the target purity of the product. Therefore, in this study, through dynamic optimization of the bio-based 2,3-BDO distillation process, the optimal control route was explored to control the 2,3-BDO concentration of the bottom product to 99 wt% or more, when feed concentration changes. Steady and dynamic state process simulation, proportional integral (PI) controller design, and dynamic optimization were sequentially performed. As a result, the error between the 2,3-BDO concentration and the set point of the bottom product was reduced by 75.2%.

An Empirical Study on the Possibility of Duplicated Sanctions in Bid-rigging on Construction Projects (건설공사 입찰담합의 중복제재 가능성에 관한 실증연구)

  • Shin, Young-Su;Cho, jin-Ho;Kim, Byung-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.2
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    • pp.50-58
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    • 2023
  • Bid-rigging is a common issue in public construction projects, and appropriate sanctions are required from the relevant authorities. This study analyzes the need for an optimal enforcement model to prevent bid-rigging by considering both civil and criminal aspects. Recently, there have been overlapping sanctions under the Fair Trade Act, such as fines imposed by the Fair Trade Commission and civil lawsuits filed by the client for damages. The purpose of this study is to evaluate the effectiveness of penalty surcharges and compensation systems for preventing bid-rigging, and to consider the possibility of overlapping sanctions in public construction projects. It was found that overlapping sanctions under the Fair Trade Act can be helpful in improving the system. However, in cases where the state is the plaintiff for damages in a lawsuit, it is necessary to consider the penalty surcharge and sentence, reduce the penalty surcharge for joint acts, refund the surcharge after a final judgment, and consider the damage compensation system when imposing a surcharge. This study contributes to the development of an efficient enforcement model to suppress bid-rigging in public construction projects by analyzing the improvement effects of sanctions and compensation.

Study on Improvement Plans for Installation and Operation of Traffic Safety Facilities according to Differences in Perception Methods and Range of Autonomous Vehicles and Human Vehicles (자율주행차량과 일반차량의 인지 방식과 범위의 차이에 따른 교통안전시설 설치 및 운영 개선방안 연구)

  • Hyeokjun Jang;Eunjeong Ko;Eum Han;Kitae Jang
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.311-326
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    • 2023
  • This paper proposes a plan to improve the installation and operation of traffic safety facilities using a microscopic simulation by confirming the difference in the perception method and range of autonomous vehicles and human vehicles. In this study, the existing 『Traffic Safety Sign Installation·Management Guidelines』 was reviewed, and safety signs among traffic safety facilities were classified according to changes in vehicle behavior. Subsequently, for the classified facilities, the installation location of the traffic sign was changed through simulation experiments, and the optimal location was inferred to suggest an improvement plan. This study confirmed how traffic safety facilities installed based on the visibility of human drivers affect road efficiency and safety in mixed traffic flow with autonomous vehicles and human-controlled vehicles. The optimal location derived through this study is meaningful because it can be used as the basis for revising the guidelines on the installation and management of traffic safety facilities.

High Temperature Application of Iron Removal Chemical Cleaning Solvent in the Secondary Side of Nuclear Steam Generators (증기발생기 2차측 제철화학세정액의 고온적용)

  • Hur, D.H.;Lee, E.H.;Chung, H.S.;Kim, U.C.
    • Nuclear Engineering and Technology
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    • v.26 no.1
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    • pp.140-148
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    • 1994
  • A qualification test was performed for the iron removal chemical cleaning of the secondary side of nuclear steam generators at the selected temperature, 1$25^{\circ}C$, higher than the standard application temperature, 93$^{\circ}C$. The field cleaning condition for a nuclear unit was tested in a bench scale test loop including a SUS 316 stainless steel autoclave with one gallon capacity as a test vessel. The kinetics of sludge dissolution, corrosion of the secondary side materials and change of solvent chemistry were monitored. Test results indicated that more thorough cleaning was accomplished in less than half of the cleaning time required at 93$^{\circ}C$. And the total corrosions of the secondary side materials were found to be less than the values at 93$^{\circ}C$. While the solvent is recirculated and heated by an external chemical cleaning equipment for the conventional 93$^{\circ}C$ process, the secondary side is heated by the lateral heat of the primary coolant without the recirculation of the cleaning solution, and the solvent is mixed by vigorous boiling induced by periodic ventilation for the high temperature process. The requirement that the reactor coolant pumps should be running during the cleaning operation is the major disadvantage of the high temperature process which also should be considered when chemical cleaning is planned for steam generators under operation.

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Effect of Latent Heat Material Placement on Inside Temperature Uniformity of Insulated Transfer Boxes (단열용기의 잠열재 배치에 따른 내부 온도 균일성에 대한 영향)

  • HyungYong Ji;Dong-Yeol Chung;Seuk Cheun Choi;Joeng-Yeol Kim
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.29 no.1
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    • pp.27-33
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    • 2023
  • An optimized design of the transportation insulated box must be considered to control the thermal damage in order to maintain the fresh condition for temperature-sensitive medicine and frozen food safety. The inside temperature of the insulated box is a natural convection enclosure state, thermal stratification naturally occurs as time passes in case of with outside heat load. The latent heat material (LHM) placement inside the box maintains the target temperature of the product for temperature fluctuations during transport, and LHM application is a common and efficient method. In this work, inside temperature stratification in an insulated box depending on the LHM pack position is numerically simulated and experimented. The insulated box is made up of vacuum insulation panel (VIP), and LHM modules are placed over six faces inside the box, with the same weight. The temperature curves for 72 hrs as experiment results clearly show the temperature stratification in the upper, middle, and lower at the LHM melting time region. However, the temperature stratification state is uniformly changed in accordance with the condition of the upper and lower placement weight of the LHM pack. And also, the temperature uniformity by changed placement weight of LHM has an effect on maintaining time for target air temperature inside the box. These results provide information on the optimized design of the insulated box with LHM.

Mobbing Value Algorithm for Improvement Victims Management - based on Social Network in Military - (집단 따돌림 희생자 관리 개선을 위한 모빙 지수 알고리즘 - 소셜 네트워크 기반 군 조직을 중심으로 -)

  • Kim, Guk-Jin;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.1-12
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    • 2009
  • Mobbing is going the rounds through a society rapidly and Military is not exception. Because mobbing of military is expressed not only psychology exclusion that is mobbing pattern of adult society but also sometimes psychologic and physical mobbing, is possible to join serious military discipline like a suicide and outrageous behavior. Specially military try to protect occurrence of victims that is public service through various rules and management plan but victims is going on happen. It means importance of grasp not only current mobbing victims but also potential mobbing victims better than preparation of various rules and management plans. Therefore this paper extracts seven factors and fifty attributes that are related to this matter mobbing. Next, by using Gunwoo's Social Network Service that is made for oneself and expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function(Dice's coefficient) to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and propose Mobbing Value(MV) Algorithm through this total summation. Finally through this algorithm which will contribute to efficient personnel management, we can grasp mobbing victims and tentative mobbing victims.

Effects of Spatio-temporal Features of Dynamic Hand Gestures on Learning Accuracy in 3D-CNN (3D-CNN에서 동적 손 제스처의 시공간적 특징이 학습 정확성에 미치는 영향)

  • Yeongjee Chung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.145-151
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    • 2023
  • 3D-CNN is one of the deep learning techniques for learning time series data. Such three-dimensional learning can generate many parameters, so that high-performance machine learning is required or can have a large impact on the learning rate. When learning dynamic hand-gestures in spatiotemporal domain, it is necessary for the improvement of the efficiency of dynamic hand-gesture learning with 3D-CNN to find the optimal conditions of input video data by analyzing the learning accuracy according to the spatiotemporal change of input video data without structural change of the 3D-CNN model. First, the time ratio between dynamic hand-gesture actions is adjusted by setting the learning interval of image frames in the dynamic hand-gesture video data. Second, through 2D cross-correlation analysis between classes, similarity between image frames of input video data is measured and normalized to obtain an average value between frames and analyze learning accuracy. Based on this analysis, this work proposed two methods to effectively select input video data for 3D-CNN deep learning of dynamic hand-gestures. Experimental results showed that the learning interval of image data frames and the similarity of image frames between classes can affect the accuracy of the learning model.