• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.152-164
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• 2015

A rapid development of semiconductors, sensors and mobile network technologies has enable that the embedded device includes high sensitivity sensors, wireless communication modules and a video processing module for vehicular environment, and many researchers have been actively studying the smart car technology combined on the high performance embedded devices. The vehicle is increased as the development of society, and the risk of accidents is increasing gradually. Thus, the advanced driver assistance system providing the vehicular status and the surrounding environment of the vehicle to the driver using various sensor data is actively studied. In this paper, we design and implement the smart vehicular camera device providing the V2X communication and gathering environment information. And we studied the method to create the metadata from a received video data and sensor data using video analysis algorithm. In addition, we invent S-ROI, D-ROI methods that set a region of interest in a video frame to improve calculation performance. We performed the performance evaluation for two ROI methods. As the result, we confirmed the video processing speed that S-ROI is 3.0 times and D-ROI is 4.8 times better than a full frame analysis.

• Journal of KIISE
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• v.43 no.11
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• pp.1179-1187
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• 2016

Android- and Linux-based embedded systems require device drivers, which are structured and built in kernel functions. However, device driver software (firmware) provided by various 3rd parties is not usually checked in terms of their security requirements but is simply included in the final products, that is, Android-based smart phones. In addition, static analysis, which is generally used to detect vulnerabilities, may result in extra cost to detect critical security issues such as privilege escalation due to its large proportion of false positive results. In this paper, we propose and evaluate an effective technique to detect vulnerabilities in Android device drivers using both static and dynamic analyses.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.599-606
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• 2017

In this paper, the automatic control system of the stroller brake was designed and manufactured to reduce the safety accident of the stroller. The ultrasonic sensors are used to determine whether the handle of the driver's hand is touching or not, and the gyro sensor is designed to detect the current tilt of the baby carriage. If the next driver's hand is not recognized and the tilt exceeds a certain angle, the servo motor is activated and the hydraulic brake is operated to prevent the accident on the downhill road. Finally, in this paper, a smart phone-based application was developed to make the remote control of the brake possible.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.3
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• pp.136-142
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• 2014

Distinct features in heart rate signals during the driver's wake and sleep states could provide an initiative for the development of a safe driving systems such as drowsiness detecting sensor in a smart wheel. We measured ECG from health subjects ($23.5{\pm}2.5$ in age) during the wake and drowsiness states. The proposed method is able to detect R waves and R-R interval calculation in the ECG even when the signal includes in abnormal signals. Heart rate variability(HRV) was investigated for the time domain and frequency domains. The STD HR(0.029), NN50(0.044) and VLF power(0.0018) of the RR interval series of the subjects were significantly different from those of the control group (p < 0.05). In conclusion, there are changes in heart rate from wake to drowsiness that are potentially to be detected. The results in our study could be useful for the development of drowsiness detection sensors for effective real-time monitoring.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.47-54
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• 2017

In this paper, we propose a connected car platform architecture called Mobile Second for developing of verity convergence services. A Mobile Second platform architecture is designed to provide more powerful and diverse convergence services for vehicles and drivers by applying technologies of Connected Car and ICT Convergence in various ways. The Mobile Second platform is implemented by applying Tizen IVI and Android to hardware platforms for IVI, Nexcom's VTC1010 and Freescale's i.MX6q/dl respectively. The Mobile Second platform provides the driver with the vehicle's information via IVI devices, mobile devices and PCs, etc., and provides Vehicle Selective Gateway(VSG) and Vehicle Control Framework for the driver to control his/her vehicle, and also provides a web framework to enable the use of VSG's APIs for the monitoring and controlling the vehicle information in various mobile environments as well as IVI devices. Since the Mobile Second platform aims to create new variety of services for Connected Car, it includes service frameworks for Smart Care / Self diagonostics, Mood & Entertainment services, and Runtime, libraries and APIs needed for the development of related applications. The libraries given by the Mobile Second Platform provides both a native library for native application support and a Java Script-based library for web application support, minimizing the dependency on the platform and contributing the convenience of developers at the same time.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1025-1034
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• 2020

This paper aims to develop a conceptual framework for Green Supply Chain Management (GSCM) that takes into account the effect of GSCM drivers on implementing GSCM practices in Vietnam FDI companies. This study has considered organizational commitment, social network, and government support as GSCM driver factors and proposed a structural model of the relationships between GSCM drivers and GSCM practices in Vietnam FDI companies. The empirical analysis used data from 192 questionnaires which used a comprehensive, valid, and reliable tool (SPSS 26 and SmartPLS 3.0 software) to evaluate rigorous statistical tests including convergence validity, discriminatory validity, reliability, and Average Variance Extracted (AVE) to analyze and verify the gathered data and develop the hypothesis. The result of path analysis shows that GSCM driver factors constitute a structured system with different degrees of influence on GSCM drivers and GSCM practices. Organizational commitment and government support has a positive relationship with both GSCM drivers and GSCM practices, while social network only has a positive relationship on GSCM drivers. As a result, the testing of the relationship between GSCM drivers and GSCM practices has been verified and supported. The findings of this study can help managers and decision-makers to push the implementation of GSCM practices in FDI companies.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.206-230
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• 2024

Background: The advancement of information and communication technology acts as a key driver in the implementation of smart cities. Smart Public Facilities leverage this technological progress to innovate urban operations, optimizing various city functions, enhancing the quality of public services, and improving citizens' accessibility and convenience. These Smart Public Facilities are introduced for the sustainable development of cities and the enhancement of citizens' quality of life. Method: This study systematically analyzed the public design policies of local governments and examined the use cases of Smart Public Facilities domestically and internationally to evaluate their functions and roles. Through this, the effectiveness and sustainability of public design policies were comprehensively reviewed, and the impact of Smart Public Facilities on urban operations and citizens' lives was analyzed from multiple perspectives. Results: The introduction of Smart Public Facilities significantly enhances the implementation and efficiency of public design policies, playing a crucial role in sustainable urban development and improving citizens' quality of life. Furthermore, positive impacts were observed in various areas such as energy management, transportation systems, and environmental monitoring. Major challenges included managing technological changes, ensuring data privacy and cybersecurity, and strengthening citizen participation. Conclusion: Smart Public Facilities serve as essential infrastructure for improving urban efficiency, sustainability, and citizens' quality of life. Successful implementation and operation require systematic management and citizen participation. Through this, Smart Public Facilities will support sustainable urban development and play a critical role in responding to environmental changes. To ensure that Smart Public Facilities function effectively as urban infrastructure, it is necessary to comprehensively evaluate their impact on the efficiency of public design policies, sustainability, citizens' quality of life, and the local economy, and to suggest concrete measures for their introduction and operation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.263-266
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• 2011

Drivers check always vehicle state for own safety and is necessary to understand about vehicle state. If driver know vehicle state, because driver request vehicle state at vehicle specialty company, driver pay a lot of money and waste a lot of time. Now, drivers have checked vehicle state by using variety features of smart phone due to progress of IT(Information Technology). but existing smartphone vehicle diagnostic system learned professional knowledge of vehicle and know vehicle state. drives not need vehicle diagnostic. to overcome these disadvantages, there use easily drivers by using smartphone and request system to know own all vehicle state. In this paper, there implement vehicle diagnostic system with smartphone based on android OS to use easily this system and know check information of vehicle supplies replacement cycles, vehicle internal problems, Eco driving by using OBD-II data to receive by OBD-II Protocol convert Bluetooth connector.

• Journal of the Society of Disaster Information
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• v.16 no.1
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• pp.87-95
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• 2020

Purpose: In this paper, we propose an algorithm for detecting respiratory rate and heart beat of a driver of car by exploiting Doppler radar, and verifying the feasibility of the study through experiments. Method: In this paper, we propose a weighted peak detection technique using peak frequency values. The tests are performed in stop-state and driving-state, and the experiment result is analyzed by two proposed algorithms. Result: The results showed more than 95% and 96% accuracy of respiratory and heart rate, respectively. It also showed more than 72% and 84% accuracy of those even for driving experiments. Conclusion: The proposed detection scheme for vital signs can be used for the safety of the driver as well as for prevention of a large size of car accidents.

• Smart Structures and Systems
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• v.13 no.2
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• pp.281-303
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• 2014

In order to suppress the wind-induced vibrations of the Canton Tower, a pair of active mass driver (AMD) systems has been installed on the top of the main structure. The structural principal directions in which the bending modes of the structure are uncoupled are proposed and verified based on the orthogonal projection approach. For the vibration control design in the principal X direction, the simplified model of the structure is developed based on the finite element model and modified according to the field measurements under wind excitations. The AMD system driven by permanent magnet synchronous linear motors are adopted. The dynamical models of the AMD subsystems are determined according to the open-loop test results by using nonlinear least square fitting method. The continuous variable gain feedback (VGF) control strategy is adopted to make the AMD system adaptive to the variation in the intensity of wind excitations. Finally, the field tests of free vibration control are carried out. The field test results of AMD control show that the damping ratio of the first vibration mode increases up to 11 times of the original value without control.