• 한국지반환경공학회 논문집
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• 제15권2호
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• pp.45-52
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• 2014

차량의 양호한 주행성능 확보를 위한 터널공사의 증가와 더불어 터널시공 중 터널 붕락 및 과다변위 발생사례가 증가하고 있다. 터널공사의 특징이 지반의 강도특성을 최대한 이용하는 경험적인 시공방법이라는 측면에서 터널붕락 및 과다변위 발생사례에 대한 붕락 및 과다변위 발생 원인분석이 중요하다. 따라서 본 논문에서는 취약지반조건에서 대표적인 붕락 및 과다변위 발생사례의 붕락 원인에 대하여 분석하였다. 분석결과, 국지성 강우량의 증가, 시공 중 계측값의 지속적인 증가, 단층파쇄대가 지표면까지 연결되는 지반조건이 공통적으로 존재하는 경우 대규모 붕락 또는 과다변위가 발생한 것으로 분석되었다.

• 대한임베디드공학회논문지
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• 제16권5호
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• pp.209-214
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• 2021

Panoptic segmentation, which is now widely used in computer vision such as medical image analysis, and autonomous driving, helps understanding an image with holistic view. It identifies each pixel by assigning a unique class ID, and an instance ID. Specifically, it can classify 'thing' from 'stuff', and provide pixel-wise results of semantic prediction and object detection. As a result, it can solve both semantic segmentation and instance segmentation tasks through a unified single model, producing two different contexts for two segmentation tasks. Semantic segmentation task focuses on how to obtain multi-scale features from large receptive field, without losing low-level features. On the other hand, instance segmentation task focuses on how to separate 'thing' from 'stuff' and how to produce the representation of detected objects. With the advances of both segmentation techniques, several panoptic segmentation models have been proposed. Many researchers try to solve discrepancy problems between results of two segmentation branches that can be caused on the boundary of the object. In this survey paper, we will introduce the concept of panoptic segmentation, categorize the existing method into two representative methods and explain how it is operated on two methods: top-down method and bottom-up method. Then, we will analyze the performance of various methods with experimental results.

• 전기전자학회논문지
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• 제23권3호
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• pp.978-983
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• 2019

자율주행, AI의 시대가 도래함에 따라 카메라를 통하여 물체를 정확히 인식 및 판단하는 것이 중요해졌다. 특히 카메라를 이용하여 물체를 인식하는 방법은 다른 여러 방법들에 비하여 시각적으로 많은 양의 정보를 얻을 수 있기 때문에 정확한 영상을 추출하기 위하여 많은 영상 신호 처리 방법들이 연구되고 있다. 또한, 이러한 영상 신호 처리의 기능을 실제 하드웨어로 구현하기 위하여 많은 연구도 동시에 진행되고 있다. 본 논문에서는 영상 신호 처리에서 자주 사용되는 정렬 알고리즘에 대하여 동작원리 및 특징을 비교하고 성능에 대한 평가를 정리하였다. 이를 토대로 대표적인 정렬 알고리즘 중 하드웨어로 구현할 때 효율적인 알고리즘에 대하여 정의한다.

• Steel and Composite Structures
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• 제39권4호
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• pp.453-469
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• 2021

The cracking at the transverse diaphragm cutout is one of the most severe fatigue failures threatening orthotropic steel decks (OSDs), whose mechanisms and crack treatment techniques have not been fully studied. In this paper, full-scale experiments were first performed to investigate the fatigue performance of polished cutouts involving the effect of an artificial geometrical defect. Following this, comparative experimental testing for defective cutouts strengthened with carbon fiber-reinforced polymer (CFRP) was carried out. Numerical finite element analysis was also performed to verify and explain the experimental observations. Results show that the combinative effect of the wheel load and thermal residual stress constitutes the external driving force for the fatigue cracking of the cutout. Initial geometrical defects are confirmed as a critical factor affecting the fatigue cracking. The principal stress 6 mm away from the free edge of the cutout can be adopted as the nominal stress of the cutout during fatigue evaluation, and the fatigue resistance of polished cutouts is higher than Grade A in AASHTO specification. The bonded CFRP system is highly effective in extending the fatigue life of the defective cutouts. The present study provides some new insights into the fatigue evaluation and repair of OSDs.

• 로봇학회논문지
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• 제16권4호
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• pp.319-326
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• 2021

To improve the driving performance and work efficiency of the multi-purpose agricultural robot, this paper conducted a study on the turning and steering characteristics of the robot platform according to the characteristics of the working machine coupled to the multi-purpose agricultural robot considering the agricultural environment. First, the size and characteristics of the developed multi-purpose agricultural robot platform and working machine, and the targeted field farming work environment are analyzed. And based on this analysis, the problems that arise in multi-purpose robots with conventional turning methods are quantitatively presented. And to overcome this problem, an improved turning and steering method for multi-purpose agricultural robots is proposed considering the characteristics of various workstations and the agricultural working environment. Finally, by applying the proposed method, the turning characteristics of the multi-purpose agricultural robot according to the working machine are analyzed and the effectiveness of the proposed method is verified.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.225-251
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• 2023

Purpose The purpose of this study is to examine the future direction of in-vehicle app development and service, the relationship between potential customers' intention to use and the factors that affect it was explored. It was also checked whether the two types of app development platform and the experience of the existing smartphone app platform had a moderating effect on these relationships. Design/methodology/approach Data was gathered through surveys, collecting responses from 904 potential consumers of vehicle app services in Korea. Structural equation modeling was utilized to analyze the data. Findings According to the empirical analysis result, it was found that potential customers considered enjoyment as the most important benefit factor in in-vehicle app service, and the most important external factor affecting enjoyment was functional compatibility with smartphone. The type of vehicle app development platform did not have a meaningful moderating effect on the factor relationship, whereas the smartphone app platform experience showed a meaningful moderating effect on the relationship between factors. It was analyzed that the risk of app performance, personal information privacy, and driving safety data did not have a negative effect on the intention to use the vehicle app service.

• Tribology and Lubricants
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• 제40권1호
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• pp.24-27
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• 2024

A monotype valve body for a dual clutch transmission has the potential to reduce costs, weight, and manufacturing time by modularizing various parts, including those of existing solenoid packs and valve bodies, into one through the application of super-precision die casting technology. However, this approach may lead to challenges such as reduced rigidity and increased interference due to modularization and compactness, impacting both product performance due to the reduced weight as well as durability and reliability. Unlike existing products, this approach requires a high-precision thin-wall block to avoid more complicated flow line formation, interference between flow lines, and leaks, as well as a strict quality requirement standard and precise inspections including detection of internal defects. To conduct precise inspections, we built an equivalent model corresponding to a driving distance of 300,000 km. Testing involved simulating actual road loads using a real vehicle and a chassis dynamometer in the FTP-75 mode (EPA Federal Test Procedure). The aim of the study was to establish a vehicle load-based part durability model for manufacturing a mono-type valve body and to develop fundamental technology for part weight reduction through preliminary design by introducing analytical weight reduction technology based on the derived results.

• Journal of Platform Technology
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• 제11권6호
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• pp.13-20
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• 2023

Regularly inspecting vehicle tires' condition is imperative for driving safety and comfort. Poorly maintained tires can pose fatal risks, leading to accidents. Unfortunately, manual tire visual inspections are often considered no less laborious than employing an automatic tire inspection system. Nevertheless, an automated tire inspection method can significantly enhance driver compliance and awareness, encouraging routine checks. Therefore, there is an urgency for automated tire inspection solutions. Here, we focus on developing a deep learning (DL) model to predict cracked tires. The main idea of this study is to demonstrate the comparative analysis of DenseNet121, VGG-19 and EfficientNet Convolution Neural Network-based (CNN) Transfer Learning (TL) and suggest which model is more recommended for cracked tire classification tasks. To measure the model's effectiveness, we experimented using a publicly accessible dataset of 1028 images categorized into two classes. Our experimental results obtain good performance in terms of accuracy, with 0.9515. This shows that the model is reliable even though it works on a dataset of tire images which are characterized by homogeneous color intensity.

• 한국산학기술학회논문지
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• 제16권12호
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• pp.8800-8811
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• 2015

콜센터 정보시스템에서 상담원은 고객과의 상호작용에서 매우 중요한 역할을 담당한다. 이러한 정보시스템을 효과적으로 유용하게 사용할 때 상담원의 업무 스트레스가 줄고, 이는 상담원의 감정노동을 감소시켜 개인과 조직의 성과를 향상시키는 결과로 이어진다. 최근 감정노동에 대한 논의가 활발하지만, 대표적인 감정노동 직군인 콜센터 상담원을 대상으로 한 상담원과 고객응대에 필수적인 정보시스템 간의 상호작용 효과에 대한 연구가 부족한 실정이다. 따라서 본 연구에서는 항공사 콜센터 정보시스템품질이 기대일치에 어떤 영향을 미치는지, 그리고 기대일치와 자기효능감이 감정노동성과에 어떠한 영향을 끼치는지 규명하고자 하였다. 콜센터 상담원 436명을 대상으로 분석한 결과, 이들에게 양질의 정보시스템을 제공할 때 직무에 대한 만족도와 자부심이 높아지고, 이는 감정노동의 강도를 낮추어 궁극적으로 서비스성과를 향상하는 것으로 나타났다. 본 연구의 시사점은 다음과 같다. 첫째, 항공사 콜센터 정보시스템 운영과 관련한 조직의 의사결정자에게 성공적인 콜센터 정보시스템 도입 및 확장을 위한 실무지침을 제공했다. 둘째, 본 연구에서 제안한 측정모형을 항공사 정보시스템에 적용 및 분석해 봄으로써 시스템 사용에 대한 점검 및 진단을 수행 할 수 있는 방안을 제시하였다. 마지막으로 이론적으로 구축된 항공사 콜센터 정보시스템과 측정모형에 대하여 측정항목 간 인과관계를 실증적으로 분석함으로써 콜센터 정보시스템의 성과측정을 위한 확고한 전략적 안목을 제시하였다.

• 디지털융복합연구
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• 제14권4호
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• pp.173-183
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• 2016

본 연구의 목적은 현재 현실적으로 가장 이슈가 되고 있는 세계적인 기업들의 윤리경영이 사회적으로 문제가 많이 되고 있는 시점에서 각 기업들 특히 건설회사들의 CEO 윤리의식이 기업들의 경영성과에 어느 정도 기여하는지 알고자 한다. 국내 건설업에 종사하는 대기업, 중소기업들의 기술자 및 관리자들을 대상으로 다수의 설문지를 통한 실증분석 즉 빈도, 신뢰도, 요인, 다중회귀분석을 실시하였다. 통계분석의 도구 SPSS 20 을 사용한 그 결과는 다음과 같다. CEO의 윤리의식은 재무적 성과, 기업윤리, 조직적 성과, 사회적 성과에 유의적인 정(+)의 영향을 미치는 것으로 나타났다. CEO의 최고 덕목인 윤리의식이 높은 회사 일수록 직원들이 주인의식을 갖게 되고 CEO와의 커뮤니케이션이 잘 통해야 서로간의 신뢰를 바탕으로 회사 발전의 원동력이 될 수 있다고 본다. 향후에는 일반적인 회사의 CEO 윤리의식이 경영성과에 미치는 영향에 대해서 폭 넓은 연구가 필요하다.