• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.5
• /
• pp.531-538
• /
• 2016

Driving behaviors such as speeding and illegal u-turn which violate traffic rules are main causes of car accidents, and they can lead to serious accidents. Bus drivers are less aware of dangers of illegal u-turn, and infrastructures such as traffic enforcement equipment and watchmen are deficient. This research aims to develop technology for estimating driving behaviors based on map-matching in order to prevent illegal u-turns. For this research, 23,782 of u-turn permit data and 146,000 of speed limit data are collected nationwide, and an estimation algorithm is built with these data. Then, an application based on android is developed, and finally, tests are conducted to assess the accuracy in data computations and GPS data map-matching, and to extrapolate driving behavior. As a result of the tests, the accuracy results in the map-matching is 86% and the assessment of driving behavior is 83%, while the display of the data output yielded 100% accuracy. Additional research should focus on improvement in accuracy through the development of a robust monitoring system, and study of service scenarios for technology application.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.9 no.2
• /
• pp.1-10
• /
• 1989

In this paper, dynamic response of a truss bridge due to constantly moving train loads is analysed. Dynamic response of the bridge is found by the mode superposition method with the solution of the eigenvalue problem by Householder transformation and QL algorithm. To prove the validity of the analysis procedure, the response due to a very slowly moving load is compared with the result from the static analysis program, and the dynamic response is also compared with the result from the direct integration method. Based upon this, the variation of dynamic amplification factors is investigated by changing the train types and speeds, and the result is compared with the code specified impact factor. From this study, it was known that the dynamic amplification factor is not quite different by train types in low speeds but in high speeds it is, and in the case of electric car and U. I. C. loads the factor could exceed the code specified impact factor depending upon the speed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.829-832
• /
• 2009

Recently, IT-centered convergence between different industries has undergone rapid expansion, accompanied by major advances in u-IT development and digital convergence. Notably, in the automotive-IT convergence sector, automotive sensors and electronic devices interact closely and intelligently with each other, thereby increasing driver safety and convenience and creating the optimal driving environment. This has led to the generation of value-added for the future-oriented automotive industry. Sensing technologies - which are used to monitor traffic situations and transmit correct information (or warnings) on the road traffic situation to car drivers, and to provide accurate information to road traffic controllers - represent both the birth of high-safety, intelligent automotive technologies and the key to automotive manufacturing. In view of these developments, this paper examines the characteristics and structure of the automotive sensor industry, and outlines the policy implications for the automotive sensor industry with regard to the development of the automotive-IT convergence industry.

• Journal of Distribution Research
• /
• v.4 no.2
• /
• pp.21-39
• /
• 1999

This study investigates the general applicability of the measurement scale for assessing channel-member performance for the supplier's view that was proposed by Kumar, and Achrol (1992). First, we attempted to examine whether the measurement-scale could be used without any change; the results from the initial data-analysis proposed that the scale needed a certain amount of a revision for further utilization. It seemed that the scale needed some adjustment for being applied to this study; their scale was developed with the data collected from the network of independent dealers handling multiple product items or multiple brands in the U.S. and Canada, while the data of this study were provided by a Korean car manufacturer having a dealer network selling and servicing only its own brand without ownership. Accordingly, we determined that it was necessary to develop a newly finalized performance-measurement scale revising Kumar et al.'s. During the data-analysis of the data resulted in a scale of fifteen items measuring three facets-financial performance, behavioral performance, and competence, each of which consisted of five items respectively. This empirically developed scale looked more valid for the situation of this study than the Kumar, Stern, and Achrol's which was composed of twenty-one items measuring seven facets--three items each.

• Journal of Institute of Control, Robotics and Systems
• /
• v.14 no.11
• /
• pp.1189-1195
• /
• 2008

We introduce a MEMS-based pedestrian dead reckoning (PDR) system. A walking navigation algorithm for pedestrians is presented and map-matching algorithm for the navigation system based on dead reckoning (DR) is proposed. The PDR is equipped on the human body and provides the position information of pedestrians. And this is able to be used in ubiquitous sensor network (USN), U-hearth monitoring system, virtual reality (VR) and etc. The PDR detects a step using a novel technique and simultaneously estimates step length. Also an azimuth of the pedestrian is calculated using a fluxgate which is the one of magnetometers. Map-matching algorithm can be formulated to integrate the positioning data with the digital road network data. Map-matching algorithm not only enables the physical location to be identified from navigation system but also improves the positioning accuracy. However most of map-matching algorithms which are developed previously are for the car navigation system (CNS). Therefore they are not appropriate to implement to pedestrian navigation system based on DR system. In this paper, we propose walking navigation system and map-matching algorithm for PDR.

• 연구논문집
• /
• s.27
• /
• pp.57-73
• /
• 1997

The bogie between the track and the railway vehicle body, is one of the most important component in railroad vehicle. Its effects on the safety of both passengers and vehicle itself, and on the overall performance of the vehicle such as riding quality, noise and vibration are critical. The bogie is mainly consisted of the bogie frame, suspensions, wheels and axles, braking system, and transmission system. The complex shapes of the bogie frame and the complicate loading condition (both static and dynamic) induced in real operation make it difficult to design the bogie frame fulfilling all the requirements. The complicated loads applied to the bogie frame are i) static load due to the weight of the vehicle and passengers, ii) quasi-static load due to the rolling in curves iii) dynamic load due to the relative motion between the track, bogie, and vehicle body. In designing the real bogie frame, fatigue analysis based on the above complicated loading conditions is a must. In this study, stress analysis of the bogie frame has been performed for the various loading conditions according to the UIC Code 6 15-4. Magnitudes of the stress amplitude and mean stress were estimated based on the stress analysis results to simulate the operating loads encountered in service. Fatigue strength of the bogie frame was evaluated by using the constant life diagram of the material. 3-D surface modelling, finite element meshing, and finite element analysis were performed by Pro-Engineer, MSC/PATRAN, and MSC/NASTRAN, respectively.

• Journal of Distribution Science
• /
• v.13 no.6
• /
• pp.35-44
• /
• 2015

Purpose - To accelerate economic cooperation, this study investigates trade structures of Korea and the United States and identifies trade discrepancies. Such discoveries can lead to increases in trade volume by improving policies, eventually uncovering ways for trade expansion. Research design, data, and methodology - The Index of trade intensity, from trade intensity theory, is used to analyze the trade decision factors. Even though specific factors should materialize in the analysis, realistically, concrete explanations are difficult as there are so many unsolved factors and diversifications. Results - First, the Index of A value/ B value positions Korean against the United States in terms of market share and Korea against world market share, which thereby reveals comparative market intensity. Second, Korea is taking comparative advantage of export specialization. Third, real comparative advantage indices are considerably improved since early 2000. Conclusions - This study uses quantitative measurements and trade intensity theory and trade specialization to come up with a comparative advantage index to see how inter-trade relations between Korea and the United States have changed over the past 10 years.

• Proceedings of the KIEE Conference
• /
• 1998.07g
• /
• pp.2381-2383
• /
• 1998

직류직권모터는 전동지게차와 같은 물류용 전동차에서 사용되는데, 우수한 기동 토오크를 가지는 반면에 파라미터의 열적, 변화가 심하고 마찰과 부하의 비선형성이 존재해 기존의 제어기로는 만족할 만한 성능을 내지 못한다. 본 논문에서는 이를 해결하기 위해 퍼지제어기를 사용한다. 퍼지제어기는 변수의 애매성에 바탕을 두고 제어하기 때문에 이러한 비선형성에 대해 강인하나, 소속함수의 결정과 퍼지규칙의 선정이 어려우며, 체계적인 방법이 존재하지 않는다. 이러한 퍼지제 어의 결점을 해결하기 위해 소속함수는 유전 알고리즘을 통해 자기동조 시키며 퍼지규칙은 오차와 오차변화율의 위상평면을 이용하여 결정한다. 실용성을 검증하기 위해 TI사의 DSP TMS320F240을 이용해 실시스템에 적용했으며, 이를 통해 부하의 변동 및 기준 속도의 변화에도 잘 대처함을 알 수가 있었다.

• Journal of Auto-vehicle Safety Association
• /
• v.12 no.1
• /
• pp.26-32
• /
• 2020

The luxury car market has been steadily growing for the last 10 years and it might keep expanding in the future. Furthermore, it is expected to be a very competitive market because luxury cars are considred to reflect the technology level of motor companies. For this reason, it is very important for motor companies to improve performances of luxury vehicles. However, it takes years for the companies to increase the technology level for the high performances. In this paper, we aim to analyze the technologies for high quality brake perfomances through investigation of two luxury vehicle models and develop a new high performance brake system. First, we found out a variety of effective factors for the high performances. Second, we conducted the brake performance analysis to figure out the relationship between brake effort and brake feeling. Finally, we develped the new brake system using carbon ceramic composite materials to satisfy the high quality brake performances.

• Proceedings of the KIEE Conference
• /
• 1994.11a
• /
• pp.172-174
• /
• 1994

Due to the environmental considerations and the energy crisis, there has been a revival of electric vehicles since 1960s. Research and development work concerning with electric vehicles (EVs) was becoming more intense in last decade. As compared with conventional internal combustion engine (ICE) cars, EVs have the advantages of clean, quiet, better energy efficiency, less maintenance and improving the load factor of electric power systems. However, EVs usually have a snort running range, bad acceleration performance and high initial cost. The main reason for these shortcomings is the low figure of energy density and the high per energy cost of battery at present technology state. So it is very important to optimize the overall drive system design with respect to the maximum utilization of battery, energy, motor torque and inverter power. This paper describes a demonstration model of electric car which is driven by 4-wheel direct method using the vector control.