• Journal of Advanced Navigation Technology
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• v.17 no.2
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• pp.165-170
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• 2013

In this paper, we propose the information acquisition and analysis system for a vehicle driver in order to provide the safe driving environments. We first define the list of reckless driving behaviors and propose the recognition system, which recognizes the reckless behaviors, by using the acquired information. The collaboration among the information acquisition, the analysis, and the behavior comparison modules increases the accuracy of the recognition rate. Our system alarms to a vehicle driver in order to notify the potential to confront the dangerous situation due to the abnormal or reckless driving behaviors.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.55-60
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• 2004

Most vehicles having automatic transmission system use fixed standard shift map to provide automatic transmission for driver. In this case, driver who operates vehicle may be complaint with the fixed transmission pattern being different from the driver's intention. In this paper, therefore, to infer the driver's intention module for learning the driver's intention with related input variables using soft computing method is proposed. After inference, the standard shift map will be shifted according to a certain parameter decided from the proposed module for providing proper shift pattern. The efficiency of the proposed module is evaluated by the data acquired from real time driving.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.1
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• pp.88-95
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• 2013

We propose a novel driver circuit design using $0.18{\mu}m$ CMOS process technology that drives a 1550 nm high-speed VCSEL used in optical transceiver. We report a distinct improvement in bandwidth, voltage gain and eye diagram at 3.1Gb/s data rate in comparison with existing topology. In this paper, the design and layout of a 3.1Gb/s VCSEL driver for optical transceiver having arrayed multi-channel of integrating module is confirmed.

• Journal of the Semiconductor & Display Technology
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• v.5 no.1 s.14
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• pp.33-38
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• 2006

The ATE driver to test a high speed semiconductor chip is designed by using general logic drivers instead of dedicated pin drivers. We have proposed a structure of general logic drivers using FPCA and assured its correct operation by EDA tool simulation. PCB circuit was implemented and Altera FPGA chip was programmed using DDR I/O library. On the PCB, it is necessary to place two resistors connected output drivers near to the output pin to adjust an impedance matching. We confirmed that the measured results agree with the simulated values within 5% errors at room temperature for the input signals with 800Mbps data transfer rate and 1.8V operating voltage.

• JSTS:Journal of Semiconductor Technology and Science
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• v.9 no.2
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• pp.104-109
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• 2009

At a lower supply voltage, voltage-mode drivers draw less current than current-mode drivers. In this paper, we newly propose a voltage-mode driver with an additional current path that reduces the output voltage swing without the need for complicated additional circuitry, compared to conventional voltage-mode drivers. The prototype driver is fabriccated in a 0.13-$^{\mu}m$ CMOS technology and used to transmit data streams at the rate of 2.5 Gb/s. Deemphasis is also implemented for the compensation of channel attenuation. With a 1.2-V supply, it dissipates 8.0 mA for a 400-mV output voltage swing.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.89-102
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• 2007

Generally, it is well known that driving in tunnel imposes large burden to driver because of spatial constraint, limited visual field and so on. And such a burden of driver result in high accident occurrence. In this reason, studies dealing with features of driving and traffic flow in tunnel have been performed. However, information about characteristics of drivers and traffic in a very long tunnel is not accumulated yet. The purpose of this study is to identify the relations between tunnel length and burden of driver, driving patterns, traffic flow characteristics using the tunnel simulator that realizing various tunnel situations. For this, the tunnel simulation program was developed along 11km-length section. And biological data of 10 subjects gained from driving condition in simulation program was analyzed and compared with the result of real driving condition.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.163-171
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• 2022

A conceptual model represents an understanding of a system that is going to be developed, which in this research, a driving simulation software to study driver behavior at signalised intersections. Therefore, video observation was conducted to examine driver compliance behaviour within the dilemma zone at signalised intersection, pertaining to driver's distance from the stop line during yellow light interval. The video was analysed using Thematic Analysis and the data extracted from it was analysed using Chi-Square Independent Test. The Thematic Analysis revealed two major themes which were traffic situation and driver compliance behaviour. Traffic situation is defined as traffic surrounding the driver, such as no car in front and behind, car in front, and car behind. Meanwhile, the Chi-Square Test result indicates that within the dilemma zone, there was a significant relationship between driver compliance behaviour and driver's distance from the stop line during yellow light interval. The closer the drivers were to the stop line, the more likely they were going to comply. In contrast, drivers showed higher noncompliant behavior when further away from stop line. This finding could help us in the development of conceptual model of driving simulation with purpose of studying driver behavior.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.33-35
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• 2004

In this paper, web based monitoring systems are implemented for multi-axis force control systems of an intelligent robot. Linux operating systems are ported to an embedded system which Include a Xscale processor to implement a web based monitoring system. A device driver is developed to receive data from multi-axis force sensors of intelligent robots. To control this device driver, a socket program for Labview is also developed.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.692-695
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• 2008

Large area emissive displays have problems with nonuniform pixel characteristics and their individual ageing. A pixel integrated driver with pixel based optical feedback is presented to solve these problems. Photodetectors, optical feedback circuit and data handling capabilities are integrated in a high voltage CMOS technology.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.