• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.8
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• pp.327-342
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• 2017

In this paper, we introduce an integrated processing system of smart sensor data for IoT service which collects sensor data and efficiently processes it. Based on the technology of collecting sensor data to the development of the IoT field and sending it to the network · Based on the receiving technology, as various projects such as smart homes, autonomous running vehicles progress, the sensor data is processed and effectively An autonomous control system to utilize has been a problem. However, since the data type of the sensor for monitoring the autonomous control system varies according to the domain, a sensor data integration processing system applying the autonomous control system to various different domains is necessary. Therefore, in this paper, we introduce the Smart Sensor Data Integrated Processing System, apply it and use the window as a reference to process internal and external sensor data 1) receiveData, 2) parseData, 3) addToDatabase 3 With the process of the stage, we provide and implement the automatic window opening / closing system "Smart Window" which ventilates to create a comfortable indoor environment by autonomous control system. As a result, standby information is collected and monitored, and machine learning for performing statistical analysis and better autonomous control based on the stored data is made possible.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.311-318
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• 2016

Recent vehicles are using car internal network for various purposes such as vehicle control, diagnostic functions, and ECU program upgrade. Currently CAN and FlexRay are the most representative networks. In the next-generation network, the use of CAN FD and car ethernet is actively studied. In this paper, we aimed to compare and evaluate the diagnostic function and the program of the ECU from the upgrade view on characteristics related to download time for each network when CAN, CAN FD, and FlexRay network are applied. As a result of the simulation, it was possible to determine that the CAN FD network is currently the most suitable for the next-generation network by suppressing other networks in terms of cost performance even under conditions of 500 Kbps and 2 Mbps which are practically usable speeds.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.8 no.1
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• pp.151-159
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• 1998

Elelctrical properties of $BaTiO_3$ were characterized with addition of $Y_2O_3, CaO,SiO_2$ and Mn to develope the composition of PTC thermistor suitable as a current limiting device for automobile motor system. With the addition of 0.2 mol% $Y_{2}O_3$ to $BaTiO_3$, the minimum resistance of 16.5 ${\Omega}{\cdot}$cm was obtained at room temperature. $(Ba_{0.996}Y_{0.004})TiO_3$ exibited a minimum resistance of 50${\Omega}{\cdot}$cm with addition of 1.6 mol% $SiO_2$. The grain size of $(Ba_{0.996}Y_{0.004})TiO_3$ decreased from 34.95 ${\mu}$m to 13.4 ${\mu}$m and thus breakdown voltage could be improved by changing the composition as $(Ba_{0.996}Y_{0.004}Ca_{0.05}) TiO_3$ with substition of 5 mol% Ca into Basites. When 0.04 mol% Mn was added, the optimum PTCR properties could be obtained : the resistivity at room temperature and ${\rho}_{max}/{\rho}_{min}$ were 30~40${\Omega}{\cdot}$cm and $1.5{\times}10^5$ respectively.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.11
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• pp.765-778
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• 2013

This paper proposes a test case generation method for Stateflow model using the extended RRT method. The RRT method which has been popularly used for planning paths for complex systems also shows a good performance for test case generation. However, it does not consider the test coverage which is important for test case generation. The proposed extension method hires the concept of test goal achievement to increase test coverage and drives RRT extension in the direction that increases the goal achievement. Considering the concept, a RRT distance metric, random node generation method and modified RRT extension algorithm are proposed. The effectiveness of proposed algorithm is compared with that of the typical RRT algorithm through the experiment using the practical automotive ECUs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2355-2362
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• 2016

Seg fog removal is an important issue concerned by both computer vision and image processing. Sea fog or haze removal is widely used in lots of fields, such as automatic control system, CCTV, and image recognition. Color image dehazing techniques have been extensively studied, and expecially the dark channel prior(DCP) technique has been widely used. This paper propose a fast and efficient image prior - dark channel prior to remove seg-fog from a single digital image based on the GPU. We implement the basic parallel program and then optimize it to obtain performance acceleration with more than 250 times. While paralleling and the optimizing the algorithm, we improve some parts of the original serial program or basic parallel program according to the characteristics of several steps. The proposed GPU programming algorithm and implementation results may be used with advantages as pre-processing in many systems, such as safe navigation for ship, topographical survey, intelligent vehicles, etc.

• Journal of Auto-vehicle Safety Association
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• v.9 no.4
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• pp.38-47
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• 2017

With automobiles sharply increasing worldwide, we are faced with serious social problems such as traffic accidents, traffic jams, environmental pollution, and economic inefficiency. In response, research on ITS is promoted mainly by regions with advanced automotive industry such as the US, Europe, and Japan. While Korea is working to get ahead to take global market through developing and turning into global standards systems related to ASV(Advanced Safety Vehicle), the country is not excellently prepared for such projects. The purpose of ACC is to control the vehicle's longitudinal speed and distance and minimize driver workload. Such a system should be useful in preventing accidents, as it reduces driver workload in the 21st-century world of telematics created by the development of automobile culture industry. In this light, the thesis presents a method to test and evaluate ACC system and a mathematical method to assess distance. Furthermore, for the proposed test and evaluation, theoretical values are tested with vehicle test and a database is acquired, by using vehicles equipped with an ACC system. We proposed the scenarios suitable for the domestic environment and conducted the actual road test. Theoretical evaluation criteria for developing ACC system may be employed and scenario-specific evaluation methods may find their useful application through testing the formula proposed by comparing the database and the mathematical method. and, many companies are expected to utilize the scenario in the developing stage of ACC, and be able to employ as a verification method by harnessing theoretical formula before a road test.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.94-94
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• 1999

반도체 Hall 효과를 이용하여 자계를 검출하여 이를 전압신호로 출력하는 자기센서로는 주로 GaAs, InSb, InAs 등의 박막이 사용되고 있다. 자기센서의 응용분야가 최근에는 직류전류의 무접촉 검출, 자동차의 무접촉 회전 검출, 산업용 기계의 제어용 무접촉 위치검출 분야로 확대되고 있어 그 수요가 급증하고 있다. 이중 Hall 소자의 응용분야중 많은 활용이 기대되고 있는 자동차용 무접촉 센서는 -4$0^{\circ}C$~15$0^{\circ}C$의 온도범위에서 안정하게 작동하여야 하므로 온도 안정성이 매우 중요하다. 그러나 Hall 소자 시장의 80%를 점유하고 있는 InSb Hall 소자는 온도가 올라감에 따라 저항이 급격히 낮아지는 성질을 가지고 있으므로 10$0^{\circ}C$ 이상의 온도에서 사용하는 것이 불가능하다. 한편 InAs(에너지갭~0.18eV)는 InSb보다 에너지 갭이 크므로 고온에서도 작동이 가능하고 자계변화에 따른 출력의 직진성이 매우 좋다는 장점을 가지고 있다. 이러한 InAs Hall 소자를 실현하기 위해서 가장 중요한 것이 고품위의 InAs의 박막 성장기술이다. InAs 박막을 성장하기 위해서 사용되고 있는 기판은 GaAs이다. 그러나 GaAs 기판과 InAs 박막 사이에는 약 7% 정도의 격자부정합이 존재하기 때문에 높은 이동도를 가지는 고품위 박막을 성장시키기가 매우 어렵다. 이에 본 연구에서는 분자선에피택시 방법을 이용하여 GaAs 기판위에 고품위의 InAs 박막을 성장하는 기술을 연구하였으며, 성장된 InAs 박막의 특성을 DCX 및 Hall effect 등으로 조사하였다. InAs 박막 성장시 기판은 <0-1-1> 방향으로 2$^{\circ}$ off 된 GaAs(100)를 사용하였다. InAs 박막성장시 기판온도는 48$0^{\circ}C$로 하고 GaAs buffer 두께는 2000$\AA$로 하여 As flux 및 Si doping 농도등을 변화시켰다. 그 결과 Si doping 농도 2.21$\times$1017/am에서 10,952cm2/V.s의 이동도를 얻었다.

• Journal of Auto-vehicle Safety Association
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• v.7 no.1
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• pp.7-12
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• 2015

NCAP(New Car Assessment Program) makes vehicle manufacturer improve safety performance through free competition and customers guarantee vehicle selection by providing information of vehicle safety. That's why it is important not only to meet the regulation, but also to cope with NCAP. EuroNCAP(European New Car Assessment Program) side tests have conducted by using Progressive MDB and Euro SID II in order to reproduce crash test between two vehicles over 10 years. However various researches report that Progressive MDB and Euro SID II do not reflect evolving vehicle design, impact performance and biofidelity of human. Therefore EuroNCAP has the plan to conduct AE-MDB side crash test using WorldSID which is more evolved from 2015 by replacing Progressive MDB and EuroSID II. Automobile manufacturers need to develop safety performance for new test closely. This paper is to find test set-up parameters which affect into dummy injury instead of restraint system and to research on its tendency. It is processed with mini and small car to know influence as changing vehicle size and also analyzed by DFSS(Design for six sigma) which is one of optimization tools. DFSS is vaildated by simulating CAE with L18 orthogonal array of 6 control factors adjustable as EuroNCAP requirement.

• Journal of Auto-vehicle Safety Association
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• v.5 no.2
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• pp.24-31
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• 2013

This paper describes a coordinated control algorithm for rear-side collision avoidance. In order to assist driver actively and increase driver's safety, the proposed coordinated control algorithm is designed to combine lateral control using a steering torque overlay by Motor Driven Power Steering (MDPS) and differential braking by Vehicle Stability Control (VSC). The main objective of a combined control strategy is twofold. The one is to prevent the collision between the subject vehicle and approaching vehicle in the adjacent lanes. The other is to limit actuator's control inputs and vehicle dynamics to safe values for the assurance of the driver's comfort. In order to achieve these goals, the Lyapunov theory and LMI optimization methods has been employed. The proposed coordinated control algorithm for rear-side collision avoidance has been evaluated via simulation using CarSim and MATLAB/Simulink.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.3
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• pp.300-309
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• 2003

The Japanese developed the first Car navigation system in 1981 with the advent of Honda, which was known as the car inertial navigation system. Now days, It is possible to search the shortest route to and from places and arrival time using the internet via cell phone to the driver based on GIS and GPS. However, even with a good navigation system, it losses the shortest route when there is an average speed of the vehicle being between S-15 kilometers. Therefore, in order to improve the vehicle waiting time and average vehicle speed, we are suggesting an optimal green time algorithm using fuzzy adaptive control, where there are different traffic intersection lengths, and lanes. In this paper, to be able to assist the driver and forecast the optimal traffic information with regards to the road conditions; dangerous roads, construction work and estimation of arrival time at their destination using internet.