• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1675-1678
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• 2004

In this paper, web based monitoring systems are implemented for multi-axis force control systems of an intelligence robot. A brief review about the principle of multi-axis force sensors and a method that can reduce the effect of noise signal to sensor performance is presented. A web based monitoring system is implemented by porting Linux at embedded systems which include Xscale processors. A device driver is developed to receive data from multi-axis force sensors in Linux operation systems. To control this device driver, a socket program for web browser is also developed. The experiments are performed to investigate the effectiveness of proposed methods. The experimental results show that the values of force sensors can be monitored by remote PCs.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.311-312
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• 2007

In this study, composite $BaSrTiO_3$ has been studied for high frequency device applications. Composite $Ba_{0.5}Sr_{0.5}TiO_3$ has high dielectric permittivity and low loss tangent at the relative frequency range from MHz to GHz. 10,30 and 50 wt% of epoxy doped $Ba_{0.5}Sr_{0.5}TiO_3$ powders were prepared with bisphenol A and F polymer employing ball milling process. Epoxy/($BaSrTiO_3$) composites thick films were screen printed on the Cu plated PCB substrates through screen printing methods. The specimens were designed for the embedded capacitor applications. Temperature dependent dielectric permittivity of Epoxy doped $BaSrTiO_3$ ceramics was measured.

• Journal of Industrial and Engineering Chemistry
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• v.68
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• pp.79-86
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• 2018

Although the intrinsic characteristics of DNA molecules and carbon nanotubes (CNT) are well known, fabrication methods and physical characteristics of CNT-embedded DNA thin films are rarely investigated. We report the construction and characterization of carboxyl (-COOH) group-modified multi-walled carbon nanotube (MWCNT-COOH)-embedded DNA and cetyltrimethyl-ammonium chloride-modified DNA (DNA-CTMA) composite thin films. Here, we examine the structural, compositional, chemical, spectroscopic, and electrical characteristics of DNA and DNA-CTMA thin films consisting of various concentrations of MWCNT-COOH. The MWCNT-COOH-embedded DNA and DNA-CTMA composite thin films may offer a platform for developing novel optoelectronics, energy harvesting, and sensing applications in physical, chemical, and biological sciences.

• Nuclear Engineering and Technology
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• v.55 no.8
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• pp.3039-3045
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• 2023

Fiber-reinforced polymer (FRP) composites are considered suitable candidates for structural materials of spacecrafts due to their excellent properties of high strength, light weight, and corrosion resistance. An online health monitoring method for FRP composites must be applied to space structures. However, the application of existing health monitoring methods to space structures is limited due to the harsh space environment. Here, carbon fiber-reinforced polymer (CFRP) composites embedded with fiber Bragg grating (FBG) sensors were prepared to explore the feasibility of strain monitoring using embedded FBG sensors in γ-radiation environment. The analysis of the influence of radiation on the strain monitoring demonstrated that the embedded FBG can be successfully applied to the health monitoring of FRP composites in radiation environment.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.225-231
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• 2023

With the recent surge in the autonomous driving market, the significance of lane detection technology has escalated. Lane detection plays a pivotal role in autonomous driving systems by identifying lanes to ensure safe vehicle operation. Traditional lane detection models rely on engineers manually extracting lane features from predefined environments. However, real-world road conditions present diverse challenges, hampering the engineers' ability to extract adaptable lane features, resulting in limited performance. Consequently, recent research has focused on developing deep learning based lane detection models to extract lane features directly from data. In this paper, we classify lane detection models into four categories: cluster-based, curve-based, information propagation-based, and anchor-based methods. We conduct an extensive analysis of the strengths and weaknesses of each approach, evaluate the model's performance on an embedded board, and assess their practicality and effectiveness. Based on our findings, we propose future research directions and potential enhancements.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.73-81
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• 2016

This paper deals with the practical experience and lessons to develop a method of course-embedded assessment for program outcomes in Computer Science & Information Engineering. In engineering education, ABEEK(Accreditation Board for Engineering Education of Korea) has been nominated as an official accreditation from Korean government under some conditions of fulfillment. One of the conditions is enforcement of course-embedded assessment for program outcomes. In this paper, a method of course-embedded assessment in Computer Science & Information Engineering is suggested. The case study was done in a basic project course which includes the special assessment methods in project courses. The case study of course-embedded assessment in a basic project course was given with consideration for each step, that is, set up of program outcomes which are highly related to the course, selection of assessment tools such as written examination and project-based assessment, set up of assessment criteria, implementation of course-embedded assessment, and analysis of results. The proposed method is expected to be a good example to construct the whole strategy for course-embedded assessment in Computer Science & Information Engineering.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.1-10
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• 2013

In this paper, we propose a method of embedded linux light-weight to improve efficiency of application running on embedded systems. Three methods including fast booting scheme applying the Hibernation technique, JFFS2 file system optimization applying the Symbolic Link and virtual address mapping, kernel light-weight that guarantees the general purpose was applied. Since then check the system dependency and generate kernel image according to the target embedded kit. And embedded system performance of existing linux and linux which the method proposed in this paper was compared. In experimental result, the kernel size was 9.6% improved and the system booting time was 18% improved. And application processing speed on target embedded kit was improved 11% in the best case, 66% in the worst case. This result show that the light-weight method proposed in this paper is guarantee fast booting time and securing resources and it is good for the application processing speed improvement.

• Journal of the Korea Society for Simulation
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• v.15 no.4
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• pp.51-58
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• 2006

Debugging embedded softwares is very different from debugging general softwares. For examples, debugging embedded software requires more information, such as information on power consumption, information on the distribution of executed instructions, information on the distribution of used registers, and information on the amount of clocks consumed during the execution of a program, that is not needed in debugging general softwares. In this paper, we propose more effective method fer debugging embedded softwares using an instruction set simulator for the microprocessor that is executing embedded softwares. In this research, we develop a debugger based on an instruction set simulator for a domestic embedded microprocessor called SE1608 and we shows an effective debugging method using a MiBench program which is widely used to benchmark embedded softwares. The debugging method proposed in this paper is relatively easy to implement and shows many advantages compared with existing debugging methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.607-610
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• 2004

It is still not sufficient for the famous embedded software test methods such as Finite State Machine, Software Cost Reduction and model coverage based test case generation, to pinpoint where bugs hang around and to figure out what makes the bugs. A new approach to ameliorate the drawbacks is proposed in this paper. In the approach, we define a generic model for embedded software. And we also define failure mechanism for embedded software, and a way to generate test cases based on it.

• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.633-640
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• 2007

As the embedded systems closely related with our living become complex by interoperating each other via internet, the safety issue of embedded systems begins to appear For checking safety properties of the system interactions, it is necessary to describe the system behaviors in formal methods and provide a systematic safety analysis technique. In this research, the behaviors of an embedded system are described by Labeled Transition Systems(LTS) and its safety properties are checked on the system model. For enhancing the existing compositional safety analysis technique, we perform the safety analysis techniques by checking the behavioral equivalence of the reduced model and a property model after reducing the system model in the viewpoint of the property.