• 제목/요약/키워드: Behavioral Error

검색결과 62건 처리시간 0.023초

과거 근업과 근시 정도와의 관련성에 관한 세대별 비교 연구 (A study on relationship between myopia and near work in generational comparison)

  • 김정현;이현;김용대;김헌
    • 한국산학기술학회논문지
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    • 제14권4호
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    • pp.1747-1754
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    • 2013
  • 근시와 관련하여 근업의 영향을 평가하고, 이러한 근업의 행태가 세대변화에 따라 어떻게 다른지를 규명하고자 한다. 연구는 청주와 대전에 거주하는 성인 남녀 201명을 대상으로 하였다. (-)2.50D를 기준으로 연구대상을 근시군과 대조군으로 나누었다. 굴절이상과 관련한 안과검사와 근업과 관련한 설문조사 결과를 이용하여 근시정도와 근업과의 상관성을 규명하였고, 각 그룹을 20대와 30대로 구분하여 다시 비교하였다. 설문조사 결과 연구대상 전체에서는 고등학교 시기 학교머무름시간과 야외활동시간 그리고 중,고등학교시기 운동여부에 따른 굴절이상도, 고등학교 계열에 따른 굴절이상도, 학교 머무름시간, 야외활동시간 항목에서 모두 근시군과 대조군 사이에 유의한 차이가 나타났다. 같은 항목에 대해 연구대상을 20대와 30대로 나누어서 비교했을 때는 운동여부와 양 군 간의 추세 및 운동여부에 따른 굴절이상도에서 세대에 따라 서로 다른 결과가 나타났다. 근업의 정도는 근시에 영향을 미치는 환경적 위험요인의 하나로 근시 진행과 관련하여 고려해야할 중요한 항목이지만, 근시 예방과 관련하여 근업의 구체적인 행동양식들을 언급할 때는 해당 세대의 문화와 시환경을 고려하여야 한다.

항만별 승용차 수출 행태: 군산항.평택항.울산항 (Export Behaviors of the Passenger Cars of Gunsan, Pyeongtaek and Ulsan Port)

  • 모수원
    • 한국항만경제학회지
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    • 제27권2호
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    • pp.27-38
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    • 2011
  • 본고는 우리나라 항만별 승용차 수출행태의 차이를 밝히는데 목적을 둔다. 수출은 미국의 경기와 미국 달러의 일본 엔화표시 환율의 함수로 한다. 경제이론에 의하면 미국 경기의 상승은 우리나라 항만의 승용차 수출의 증가로 나타나며, 엔화 환율의 상승은 엔화 가치하락에 따른 일본 승용차의 가격경쟁력 상승으로 우리의 승용차 수출이 감소한다. 먼저 항만별 수출모형의 안정성을 GPH 기법을 이용하여 모형의 안정성을 확보한 후 오차수정계수를 도출하여 항만간 계수의 차이가 크며, 군산항에서 가장 작고 울산항에서 가장 크다는 것을 밝힌다. OLS를 이용한 모형의 추정을 통해 3개 항만의 수출행태가 경제이론과 일치한다는 것을 보인다. 그리고 예측오차의 분산분해를 통해 항구별 승용차 수출이 경기와 환율에 대해 내생변수라는 것과 역사적 분해를 통해 경기쇼크가 3개 항만 수출변동의 주요 변수라는 것을 밝힌다.

Effects of transport time and feeding type on weight loss, meat quality and behavior of broilers

  • Fu, Yajie;Yin, Jingwen;Zhao, Ning;Xue, Ge;Zhang, Runxiang;Li, Jianhong;Bao, Jun
    • Animal Bioscience
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    • 제35권7호
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    • pp.1039-1047
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    • 2022
  • Objective: The purpose of this study is to determine the optimal time of transportation of floor-feed and scatter-feed broilers. Methods: Eighty healthy Arbor Acres (AA) broilers (21-day-old, 624.4 g, male, standard error = 6.65) were selected and randomly divided into two experimental groups (floor-feed and scatter-feed), then fed for three weeks. The experiment comprised a 2×4 factorial design with 2 feed patterns (floor-feed and scatter-feed) and 4 transport periods (2, 3, 4, and 5 h), and 4 replicates of 5 broilers (54-day-old, 2243 g, standard error = 46.65) was used to compare weight loss, meat quality and behavior index of different groups. Results: It appeared that drip loss, meat color and resting behavior of experimental broilers changed as length of transportation (p<0.05), however, weight loss and pH were not significantly transformed (p>0.05). Compared with floor-feed group, broilers in scatter-feed group had lower pH at 24 hours (3 h) and different behavioral indicators (p<0.05). Especially indicators after 3 h transportation, there were obvious differences between the two feeding modes in the behavior reaction of stress events before slaughter with different transport duration (p<0.05). The fluctuation of data on resting behavior with scatter-feed was significantly higher than that of floor-feed broilers. There was no interaction between transport time and different feeding methods for index tested of our experiment (p>0.05). Conclusion: Comprehensive analysis showed that the maximum transport duration of floor-feed and scatter-feed broilers should not exceed 3 h, and scatter-feed broilers were more likely prone to fear.

Hierarchical Coloured Petri Net based Random Direction Mobility Model for Wireless Communications

  • Khan, Naeem Akhtar;Ahmad, Farooq;Hussain, Syed Asad;Naseer, Mudasser
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권8호
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    • pp.3656-3671
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    • 2016
  • Most of the research in the area of wireless communications exclusively relies on simulations. Further, it is essential that the mobility management strategies and routing protocols should be validated under realistic conditions. Most appropriate mobility models play a pivotal role to determine, whether there is any subtle error or flaw in a proposed model. Simulators are the standard tool to evaluate the performance of mobility models however sometimes they suffer from numerous documented problems. To accomplish the widely acknowledged lack of formalization in this domain, a Coloured Petri nets (CPNs) based random direction mobility model for specification, analysis and validation is presented in this paper for wireless communications. The proposed model does not suffer from any border effect or speed decay issues. It is important to mention that capturing the mobility patterns through CPN is challenging task in this type of the research. Further, an appropriate formalism of CPNs supported to analyze the future system dynamic status. Finally the formal model is evaluated with the state space analysis to show how predefined behavioral properties can be applied. In addition, proposed model is evaluated based on generated simulations to track origins of errors during debugging.

Multiple Inputs Deep Neural Networks for Bone Age Estimation Using Whole-Body Bone Scintigraphy

  • Nguyen, Phap Do Cong;Baek, Eu-Tteum;Yang, Hyung-Jeong;Kim, Soo-Hyung;Kang, Sae-Ryung;Min, Jung-Joon
    • 한국멀티미디어학회논문지
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    • 제22권12호
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    • pp.1376-1384
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    • 2019
  • The cosmetic and behavioral aspects of aging have become increasingly evident over the years. Physical aging in people can easily be observed on their face, posture, voice, and gait. In contrast, bone aging only becomes apparent once significant bone degeneration manifests through degenerative bone diseases. Therefore, a more accurate and timely assessment of bone aging is needed so that the determinants and its mechanisms can be more effectively identified and ultimately optimized. This study proposed a deep learning approach to assess the bone age of an adult using whole-body bone scintigraphy. The proposed approach uses multiple inputs deep neural network architectures using a loss function, called mean-variance loss. The data set was collected from Chonnam National University Hwasun Hospital. The experiment results show the effectiveness of the proposed method with a mean absolute error of 3.40 years.

VHDL 행위-레벨 설계의 코딩 오류 검출을 위한 패턴 생성 (Pattern generation for coding error detection in VHDL behavioral-level designs)

  • 김종현;김동욱
    • 대한전자공학회논문지SD
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    • 제38권3호
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    • pp.31-31
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    • 2001
  • 최근 VHDL 코딩 및 합성방법에 의한 설계가 널리 사용되고 있다. 집적도가 증가함에 따라 VHDL에 의한 설계 또한 그 분량이 증가하여 많은 코딩오류가 발생하고 있으며, 이를 검색하는데 많은 시간과 노력이 소요되고 있다. 본 논문에서는 VHDL 행위-레벨 설계를 대상으로 코딩오류를 검색하는 방법을 제안하였다. 그 방법에 있어서는 검색패턴을 생성하여 오류가 없는 응답과 설계의 응답을 비교함으로써 설계오류를 찾는 방법을 택하였다. 따라서 본 논문에서는 코딩오류를 검색하기 위한 검색패턴을 생성하는 알고리듬을 제안하였다. 검색패턴 생성은 각 코드에 대해 수행하며, 할당오류와 조건오류를 구분하여 수행하였다. 패턴생성을 위해 VHDL 코드를 CDFG로 변환하여 사용하며, CDFG상의 경로를 탐색하여 패턴생성에 필요한 정보를 추출한다. 경로탐색은 오류가 발생하였다고 가정한 지점으로부터 역방향 탐색과 정방향 탐색을 수행하여 패턴을 생성한다. 제안한 알고리듬은 C-언어로 구현하였다. 펜티엄-Ⅱ 400MHz의 환경에서 여러 가지 VHDL 행위-레벨 설계를 대상으로 제안한 알고리듬을 적용하였다. 그 결과, 고려한 모든 설계의 모든 코드에 대한 검색패턴을 생성할 수 있었으며, 가정한 모든 오류를 검색할 수 있었다. 검색패턴 생성에 소요되는 시간은 고려한 모든 대상 설계에서 1초 미만의 CPU 시간을 보여 속도면에서도 매우 우수함을 나타내었다. 따라서 본 논문에서 제안한 검색방법은 VHDL에 의한 설계에서 설계검증에 필요한 시간과 노력을 상당히 감소시킬 것으로 기대된다.

원자력발전소에서의 인간공학적 실험평가를 위한 종합 실험설비 개발 (Development of integrated test facility for human factors experiments in nuclear power plant)

  • 오인석;이현철;천세우;박근옥;심봉식
    • 대한인간공학회지
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    • 제16권1호
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    • pp.107-117
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    • 1997
  • It is necessary to evaluate HMI inaspects of human factors in the design stage of MMIS(man machine interface system) and feedback the result of evaluation because operators performance is mainly influenced by the HMI. Therefore, the MMIS design should be reflected the operators psychological, behavioral and physiological characteristics in the interaction with human machine interface(HMI) in order to improve the safety and availability of the MMIS of a nuclear power plant(NPP) by reduction of human error. The development of human factors experimental evaluation techniques and integrated test facility(ITF) for the human factors evaluation become an important research field to resolve hi,am factors issues on the design of an advanced control room(ACR). We developed am ITF, which is aimed to experiment with the design of the ACR and the human machine interaction as it relates to the control of NPP. This paper presents the development of an ITF that consists of three rooms such as main test room(MTR), supporting test room(STR) and experiment control room(ECR). And, the ITF has a various facilities such as a human machine simulator(HMS), experimental measurement systems and data analysis and experiment evaluation supporting system(DAEXESS). The HMS consists of full-scope simulation model of Korean standard NPP and advanced HMI based on visual display nits (VDUS) such as touch color CRT, large scale display panel(LSDP), flat panel display unit and so on.

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What Event-Related Potential Tells Us about Brain Function: Child-Adolescent Psychiatric Perspectives

  • Kim, Ji Sun;Lee, Yeon Jung;Shim, Se-Hoon
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제32권3호
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    • pp.93-98
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    • 2021
  • Electroencephalography (EEG) measures neural activation due to various cognitive processes. EEG and event-related potentials (ERPs) are widely used in studies investigating psychopathology and neural substrates of psychiatric diseases in children and adolescents. The present study aimed to review recent ERP studies in child and adolescent psychiatry. ERPs are non-invasive methods for studying synaptic functions in the brain. ERP might be a candidate biomarker in child-adolescent psychiatry, considering its ability to reflect cognitive and behavioral functions in humans. For the EEG study of psychiatric diseases in children and adolescents, several ERP components have been used, such as mismatch negativity, P300, error-related negativity (ERN), and reward positivity (RewP). Regarding executive functions and inhibition in patients with attention-deficit/hyperactivity disorder (ADHD), P300 latency, and ERN were significantly different in patients with ADHD compared to those in the healthy population. ERN showed meaningful changes in patients with anxiety disorders, such as generalized anxiety disorder, separation anxiety disorder, and obsessive-compulsive disorder. Patients with depression showed significantly attenuated RewP compared to the healthy population, which was related to the symptoms of anhedonia.

Construction Claims Prediction and Decision Awareness Framework using Artificial Neural Networks and Backward Optimization

  • Hosny, Ossama A.;Elbarkouky, Mohamed M.G.;Elhakeem, Ahmed
    • Journal of Construction Engineering and Project Management
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    • 제5권1호
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    • pp.11-19
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    • 2015
  • This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.

광양항의 물동량 행태분석: 인천항, 평택.당진항과 비교 (The Behavioral Analysis of the Trading Volumes of Gwangyang Port: Comparison with Incheon and Pyeongtaek-Dangjin Port)

  • 모수원
    • 한국항만경제학회지
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    • 제28권3호
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    • pp.111-125
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    • 2012
  • 광양항의 컨테이너 물동량은 인천항이나 평택 당진항에 비해 더딘 증가를 보이고 있으며, 부단위당 부가가치가 낮고 중국시장을 제대로 활용하지 못하고 있다. 광양항은 다른 두 항에 비해 환율계수와 경기계수가 크게 낮아 환율변동과 경기변동에 가장 작은 영향을 받게 되고 그에 따라 경기와 환율의 긍정적 변동을 이용하는데 가장 서투른 항만임을 보인다. 오차수정방정식을 도출하여 오차수정계수가 광양항에서 가장 작아서 적정 물동량 수준에 이르지 못할 경우 물동량 수준으로 돌아가는데 다른 두 항만에 비해 크게 떨어진다는 것을 밝힌다. 이것은 광양항이 다른 두 항만에 비해 물동량 확보능력이 부족하다는 것과, 물동량 부족이 발생할 경우 그것이 오래 지속될 수 있다는 것을 의미한다. 충격반응함수를 이용하여 경기충격이 광양항에 대해 가장 낮은 반응을 야기하여 경기상승에 따른 물동량 증가가 가장 적을 것이라는 것을 밝힌다. 마지막으로 2012년과 2013년의 물동량을 개입-승법계절 ARIMA 모형을 통해 예측하여 광양항은 2012년과 2012년 전년 대비 2.6%, 3.1% 증가하는데 비해, 인천항 6.8%, 8.1%, 평택 당진항 24.2%, 10.3%가 증가하여, 2012년에는 인천항과 물동량 차이가 거의 없는 수준으로 좁혀지고 2013년에는 비교적 큰 차이로 인천항이 광양항을 앞설 것이라는 것을 보인다. 경제적 또는 경제외적 요인의 변화에 대한 광양항의 적응능력이 타 항만에 비해 떨어지고, 그에 따라 다른 항만에 추월당할 상태에 처하고 있다는 것을 밝힌다.