• 한국산업융합학회 논문집
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• 제24권6_2호
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• pp.891-897
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• 2021

In this paper, we propose a destination optimal route algorithm for providing route finding service for the transportation handicapped by using the multi-criteria decision-making technique and the modified A-STAR optimal route search algorithm. This is a method to set the route to the destination centering on safety by replacing the distance cost of the existing A-STAR optimal route search algorithm with the safety cost calculated through AHP/TOPSIS analysis. To this end, 10 factors such as road damage, curb, and road hole were first classified as poor road factors that hinder road driving, and then pairwise comparison of AHP was analyzed and then defined as the weight of TOPSIS. Afterwards, the degree of driving safety was quantified for a certain road section in Busan through TOPSIS analysis, and the development of an optimal route search algorithm for the transportation handicapped that replaces the distance cost with safety in the finally modified A-STAR optimal route algorithm was completed.

• 디지털융복합연구
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• 제19권11호
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• pp.301-313
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• 2021

자동차 산업은 차량 소유에서 공유로, 그리고 제조에서 서비스로의 패러다임 전환을 맞이하고 있다. 그러나 스마트 모빌리티 서비스의 경제적 가치가 항상 사용자에게 긍정적이라고 단정하기는 어렵다. 차량 소유 또는 공유와 관련된 비용은 서비스 혜택의 관점뿐만 아니라 잠재적인 사용자의 관점에서도 추정하기가 매우 어렵다. 따라서 본 연구는 비용 측면에 초점을 맞춰 전동화, 첨단 운전 보조 시스템(ADAS), 그리고 승차 공유 서비스 참여라는 세 가지 주요 요소를 기반으로 비용 추정 모델을 개발한다. 모델 분석 결과 단순 비용의 관점에서는 전동화, 승차 공유 참여 등 비용 혜택을 받는 경우 결과적으로 낮은 비용이 추정되었고, 추가로 민감도 분석을 통한 다양한 요인에 대한 분석을 시행하였다. 본 연구의 결과는 스마트 모빌리티 서비스 시장에서 잠재적 사용자와 제조업체를 위한 비용 예측 및 전략에 대한 유용한 통찰력을 제공할 수 있다.

• 에너지공학
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• 제25권3호
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• pp.51-58
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• 2016

MLCC는 각종 전자제품의 핵심부품이며 이러한 MLCC 부품을 제작하기 위해 교반기가 사용되어진다. 과거에는 접촉식 교반기가 많이 사용되었으나 현재는 여러 장점으로 인해 비접촉식 교반기의 사용이 증가 추세에 있다. 이와 같은 비접촉식 중에서 특히 대용량 비접촉식 교반기의 경우, 구동기어의 기능이 중요하다. 따라서 본 연구에서는 대용량 비접촉식 교반기 구동기어의 최적설계를 통한 제작비용 절감을 위해 기존 모델에서 과도한 설계 변경 없이 구동기어의 형상최적화 연구를 수행하였다. 그 결과, 강건 설계된 기존 모델과 비교하여 형상최적화 된 수정모델의 안전율이 약 3.0 ~ 3.5 배 감소한 것으로부터 제작비용 절감 가능성을 확인하였다.

• 한국항해항만학회지
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• 제35권7호
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• pp.589-596
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• 2011

Terminal market has rapidly crashed and market rates have taken a sharp plunge. The substantial throughput decrease resulted from the world economic downturn has been a finishing blow to the terminal operators in Busan. Every terminal operator is taking cost saving as its first priority and accelerating structural reform and downsizing. Under the desperate situation, the need of effective cost analysis would be highly required to effectively control operation cost and to develop new services to satisfy the different needs of the customers. Furthermore, terminal operators could reduce unnecessary activities and concentrate their resource on the more cost-effective process through the operation cost analysis. In order to suggest a new framework of the cost control of container terminals, this paper seeks to analyze terminal costs based on ABC approach by processing actual data.

• 한국공작기계학회논문집
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• 제12권2호
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• pp.59-64
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• 2003

Continuously Variable Transmission (CVT) consists of a driving pulley and a driven pulley joined by rubber V-belt. Each pulley consists of a fixed flange and a movable flange. The main advantages of the U with V-belt, which has been Popular in Asia, are a simple mechanism less maintenance and low cost. One of the important factors which have an influence on the performance of the CVT is change of axial distance. Base on an experiment the effects of transfer torque and speed ratio of both driving pulley and driven pulley during the alteration of axial distance were studied.

• 한국산업정보학회논문지
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• 제5권3호
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• pp.18-29
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• 2000

결과적으로 컴포넌트 기반의 개발 방법은 새로운 개념의 비용 예측 모델이 요구되고 있으며 외국의 경우 이에 대한 연구가 활발히 진행되고 있다. 그러나 외국의 비용산정 모형을 그대로 적용하기에는 국내 소프트웨어 사용환경에 적절치 못할 것으로 판단되며 또한 축적된 개발 관리 자료의 부족으로 인하여 사용이 매우 제한적인 실정이다. 본 연구는 컴포넌트 환경의 비쥬얼 개발 툴을 기반으로 하는 소프트웨어 개발을 전제로 개발비용의 핵심인 노력도(Person Month)를 산정하는 모델을 제안하고자 한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.792-800
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• 2007

The annual power cost for Seoul metro operations is about 65.5 billion won, of which rail motors account for 60% among total power consumptions. It is expected that the power consumption would increase because of global warming, future high electric equipments demands, etc. To reduce these consumptions, it is necessary to analyze the transportation demands of passengers, arrange the power-saving driving environments, respond flexible vehicles service, and improve how to drive vehicles. These method to reduce power consumption for rail motors can lead to improve the Seoul metro management. In this research, the improvement plan is derived by collecting and analyzing the data for total 33 power consumptions factors, screening top 10 factors by priority and impact, establishing each hypothesis to execute correlation and recursion analyses. As a result of 4 items research among top 10 affected factors, the power consumption for rail motors in 2006 is effectively reduced; the power usage is down with 13,870 kwh, from 531,539 kwh to 517,669 kwh, and the cost is down with 1,026 million won, from 39, 334 million won to 38,308 million won.

• 자동차안전학회지
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• 제11권3호
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• pp.30-36
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• 2019

This paper suggests a car-following algorithm for urban environment, with multiple target candidates. Until now, advanced driver assistant systems (ADASs) and self-driving technologies have been researched to cope with diverse possible scenarios. Among them, car-following driving has been formed the groundwork of autonomous vehicle for its integrity and flexibility to other modes such as smart cruise system (SCC) and platooning. Although the field has a rich history, most researches has been focused on the shape of target trajectory, such as the order of interpolated polynomial, in simple single-lane situation. However, to introduce the car-following mode in urban environment, realistic situation should be reflected: multi-lane road, target's unstable driving tendency, obstacles. Therefore, the suggested car-following system includes both in-lane preceding vehicle and other factors such as side-lane targets. The algorithm is comprised of three parts: path candidate generation and optimal trajectory selection. In the first part, initial guesses of desired paths are calculated as polynomial function connecting host vehicle's state and vicinal vehicle's predicted future states. In the second part, final target trajectory is selected using quadratic cost function reflecting safeness, control input efficiency, and initial objective such as velocity. Finally, adjusted path and control input are calculated using model predictive control (MPC). The suggested algorithm's performance is verified using off-line simulation using Matlab; the results shows reasonable car-following motion planning.

• Journal of Positioning, Navigation, and Timing
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• 제11권4호
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• pp.351-360
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• 2022

Autonomous vehicles require precise knowledge of their position, velocity and orientation in all weather and traffic conditions in any time. And, these information is effectively used for path planning, perception, and control that are key factors for safety of vehicle driving. For this purpose, a high precision GNSS technology is widely adopted in autonomous vehicles as a core localization and navigation method. However, due to the lack of infrastructure as well as cost issue regarding GNSS correction data communication, only a few high precision GNSS technology will be available for future commercial autonomous vehicles. Recently, a high precision GNSS sensor that is based on a Broadcast-RTK system to dramatically reduce network maintenance cost by utilizing the existing broadcasting network is released. In this paper, we present the performance test result of the broadcast-RTK-based commercial high precision GNSS receiver to test the feasibility of the system for autonomous driving in Korea. Massive measurement campaigns covering of Korea region were performed, and the obtained measurements were analyzed in terms of ambiguity fixing rate, integer ambiguity loss recovery, time to retry ambiguity fixing, average correction information update rate as well as accuracy in comparison to other high precision systems.

• 융복합기술연구소 논문집
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• 제13권1호
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• pp.19-22
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• 2023

The rise of electrification and the advancement of autonomous driving technologies are leading to new forms of mobility, such as serving and delivery robots. However, due to factors such as the small-scale production of various products and the high cost of autonomous driving sensors, product prices have risen, limiting accessibility to consumers. To improve this, we developed a multi-purpose mobility platform that is mass-producible, based on inexpensive, reliable sensors and a configurable human tracking system. As a result, the unit price is approximately 50% of the launch prices of other mobility products, and additional cost savings are possible through component optimization in the future. In addition, more added value will be created through the distribution of integrated mobility platforms that can be combined with various usable modules to meet a variety of user needs, such as cargo transportation, wheelchair power kits, and mobile monitors.